Access to this full-text is provided by EDP Sciences.
Content available from MATEC Web of Conferences
This content is subject to copyright. Terms and conditions apply.
02007
Advancements and Applications of Intelligent
Manufacturing Technology Across Diverse
Industries
Lehan Zhao1*
1School of Mechanical and Automotive Engineering, Fujian University of Technology, Fuzhou,
Fujian, 350011, China
Abstract. In response to global environmental concerns and the pressing
need for sustainable energy solutions, intelligent manufacturing
technologies have emerged as a critical component in modernizing industrial
practices. These technologies integrate advanced information and
communication systems with manufacturing processes, driving significant
improvements in efficiency and productivity. This paper explores the
application and development trends of intelligent manufacturing technology
across various industries, focusing on industrial Internet technology, big data
analysis, and mechatronics. It examines the implementation of these
technologies in the automotive, industrial robot manufacturing, electronic
information manufacturing, education, shipbuilding, and aviation industries.
The findings demonstrate significant improvements in production efficiency,
product quality, and resource utilization, meeting diverse and personalized
market needs. Future trends indicate deeper integration of intelligent
manufacturing with industrial Internet, big data, and cloud computing,
facilitating the digitalization of the manufacturing industry and expediting
the advancement of mechatronics.
1 Introduction
As an important change in modern manufacturing, intelligent manufacturing is characterized
by self-perception, self-learning, self-decision-making, self-execution, and self-adaptation,
and it is a combination of advanced manufacturing technology and the new iteration of
information and communication technology. It is crucial for the digital transformation of
businesses and can greatly improve their competitiveness. The application of intelligent
manufacturing can inject new vitality into the manufacturing industry in various fields and
greatly improve production efficiency. This paper aims to explore the use of intelligent
manufacturing in various industries and analyze its specific application cases and effects in
different fields, and future research directions. This paper mainly discusses the classification
of intelligent manufacturing technology, its application in the automotive and industrial robot
manufacturing industries, electronic information and education fields, as well as the
* Corresponding author: 3210117106@smail.fjut.edu.cn
© The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons
Attribution License 4.0 (https://creativecommons.org/licenses/by/4.0/).
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
shipbuilding, aviation, and mold manufacturing industries, and looks forward to its future
development direction.
2 Intelligent manufacturing technology classification
2.1 Industrial internet
The Industrial Internet is an Internet of individuals, devices, computers, and substances. It
alters corporate production and helps provide intelligent industrial operations by utilizing
cutting-edge data analysis techniques [1]. It encompasses the combination of modern
manufacturing and computers, ubiquitous perception, ubiquitous network connections, and
the global industrial ecosystem. It can boost the intelligence and automation of the
manufacturing process, increase production efficiency, and optimize resource allocation.
2.2 Big data analysis
Big data analysis is the process of using diagnostic, prescriptive, predictive, and descriptive
models on data to discover new insights or find answers to certain issues [2]. Analysis
methods include looking into the past, informing decision-makers about past events, and
projecting the future, forecasting events and recommending appropriate courses of action.
Big data analysis is of great significance in smart manufacturing, especially in predictive
maintenance, quality control, and production optimization.
2.3 Mechatronics technology
Mechatronics technology is a new type of industrial production technology that is based on
traditional mechanical technology and combines computer information technology,
automatic control technology, sensor detection technology, servo traditional technology and
other electronic technologies [3]. It has the characteristics of automation, systematization,
modularization and complexity. It is the key to transform the traditional industrial production
model into an intensive production model. The use of mechatronics technology can unify
some standards of electromechanical products, control the production line according to the
pre-set process, and complete product manufacturing in a more standardized manner, thereby
improving production level and product quality.
3 Application of intelligent manufacturing in automobile and
industrial robot manufacturing
3.1 Automobile manufacturing industry
The application of intelligent manufacturing in the automobile manufacturing industry can
significantly enhance resource utilization, product quality, and manufacturing efficiency.
Through the application of intelligent manufacturing technology, automobile manufacturing
companies may implement automation, intelligence, and manufacturing flexibility to satisfy
a wide range of individualized market demands. The manifestation of intelligent
manufacturing in the field of automobile production is the intelligent factory. Intelligent
manufacturing can carry out many intelligent activities in the product manufacturing link,
including analysis activities, conception activities, reasoning activities, judgment activities,
action activities and perception activities. When processing information, with the help of the
joint actions of people and machines, it can increase the manufacturing production efficiency
by partially substituting human labor in the manufacturing link. It is foreseeable that the
human labor in the manufacturing link will be completely replaced by machines. The key
role of intelligent manufacturing technology is manufacturing, which uses computer
technology to carry out production and manufacturing integration and production and
manufacturing management. The core content of intelligent manufacturing is to effectively
improve the overall manufacturing level, so intelligent manufacturing technology has
attracted great attention from most companies. As computer and Internet technologies
continue to advance, the advancement of intelligent manufacturing has strong technical
support. In order to deepen the intelligent manufacturing technology in automobile
production, enterprises should increase the introduction of skilled talents with high-end
technology and use the power of talents to continuously improve the level of intelligent
manufacturing, especially to continuously develop unique core technologies.
The sector of new energy vehicle production is using intelligent manufacturing
technologies more and more frequently. Its core lies in optimizing management methods and
realizing human-machine interconnection. Through human-machine interaction and
management, logistics scheduling information can be received and processed in a timely
manner, and system alarm prompts and quality inspection results can be understood, thereby
realizing the control and optimization of the production process [4]. Intelligent
manufacturing technology emphasizes that people are the dominant factor, and its key lies in
using technical means to assist people in effective control.
In the analysis of the development status and trends of China's automobile industry, the
application of intelligent manufacturing technology shows great potential. Research on
information interconnection, automated production lines, intelligent quality inspection and
automatic logistics configuration shows that networking of production equipment,
visualization of production data, paperless production documents, transparency of production
processes and unmanned production sites are key directions where intelligent manufacturing
technology is being applied in the car manufacturing sector [5]. These applications not only
raise the standard and efficiency of manufacturing, but also offer a wide range of
opportunities for the growth of the Chinese car sector. The intelligent manufacturing system
for automobile assembly obtains production information through the manufacturing
execution system (MES), drives and manages the operation of production line equipment,
and collects equipment processing data and result data [6]. The study of this system
demonstrates the important role of intelligent manufacturing systems in production
information management and equipment operation control. Simultaneously, the automotive
industry's intelligent production engineering relies heavily on big data and AI technology.
The application of intelligent quality inspection technology demonstrates the potential of
combining new AI and big data technologies with the automobile industry [7]. Through
engineering practice cases in actual production scenarios, the guiding role of these
technologies in production practice has been effectively verified, further revealing their
prospects in improving production quality and efficiency. The development and application
of stamping intelligent manufacturing operation system founded on carrier technology for
the industrial Internet of things achieves data sharing across businesses through innovative
system architecture [8]. The data-driven improvement in the quality, cost and efficiency of
stamping batch manufacturing business has set a benchmark for automobile stamping batch
intelligent manufacturing operations. These practices provide reference and reference for the
large-scale manufacture of goods using intelligent manufacturing technologies. In summary,
the application of intelligent manufacturing technology in the automotive industry, through
the combination of optimized management methods, human-machine interconnection,
information interconnection, automated production lines, intelligent quality inspection, and
automatic logistics configuration, not only improves production efficiency and quality but
2
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
shipbuilding, aviation, and mold manufacturing industries, and looks forward to its future
development direction.
2 Intelligent manufacturing technology classification
2.1 Industrial internet
The Industrial Internet is an Internet of individuals, devices, computers, and substances. It
alters corporate production and helps provide intelligent industrial operations by utilizing
cutting-edge data analysis techniques [1]. It encompasses the combination of modern
manufacturing and computers, ubiquitous perception, ubiquitous network connections, and
the global industrial ecosystem. It can boost the intelligence and automation of the
manufacturing process, increase production efficiency, and optimize resource allocation.
2.2 Big data analysis
Big data analysis is the process of using diagnostic, prescriptive, predictive, and descriptive
models on data to discover new insights or find answers to certain issues [2]. Analysis
methods include looking into the past, informing decision-makers about past events, and
projecting the future, forecasting events and recommending appropriate courses of action.
Big data analysis is of great significance in smart manufacturing, especially in predictive
maintenance, quality control, and production optimization.
2.3 Mechatronics technology
Mechatronics technology is a new type of industrial production technology that is based on
traditional mechanical technology and combines computer information technology,
automatic control technology, sensor detection technology, servo traditional technology and
other electronic technologies [3]. It has the characteristics of automation, systematization,
modularization and complexity. It is the key to transform the traditional industrial production
model into an intensive production model. The use of mechatronics technology can unify
some standards of electromechanical products, control the production line according to the
pre-set process, and complete product manufacturing in a more standardized manner, thereby
improving production level and product quality.
3 Application of intelligent manufacturing in automobile and
industrial robot manufacturing
3.1 Automobile manufacturing industry
The application of intelligent manufacturing in the automobile manufacturing industry can
significantly enhance resource utilization, product quality, and manufacturing efficiency.
Through the application of intelligent manufacturing technology, automobile manufacturing
companies may implement automation, intelligence, and manufacturing flexibility to satisfy
a wide range of individualized market demands. The manifestation of intelligent
manufacturing in the field of automobile production is the intelligent factory. Intelligent
manufacturing can carry out many intelligent activities in the product manufacturing link,
including analysis activities, conception activities, reasoning activities, judgment activities,
action activities and perception activities. When processing information, with the help of the
joint actions of people and machines, it can increase the manufacturing production efficiency
by partially substituting human labor in the manufacturing link. It is foreseeable that the
human labor in the manufacturing link will be completely replaced by machines. The key
role of intelligent manufacturing technology is manufacturing, which uses computer
technology to carry out production and manufacturing integration and production and
manufacturing management. The core content of intelligent manufacturing is to effectively
improve the overall manufacturing level, so intelligent manufacturing technology has
attracted great attention from most companies. As computer and Internet technologies
continue to advance, the advancement of intelligent manufacturing has strong technical
support. In order to deepen the intelligent manufacturing technology in automobile
production, enterprises should increase the introduction of skilled talents with high-end
technology and use the power of talents to continuously improve the level of intelligent
manufacturing, especially to continuously develop unique core technologies.
The sector of new energy vehicle production is using intelligent manufacturing
technologies more and more frequently. Its core lies in optimizing management methods and
realizing human-machine interconnection. Through human-machine interaction and
management, logistics scheduling information can be received and processed in a timely
manner, and system alarm prompts and quality inspection results can be understood, thereby
realizing the control and optimization of the production process [4]. Intelligent
manufacturing technology emphasizes that people are the dominant factor, and its key lies in
using technical means to assist people in effective control.
In the analysis of the development status and trends of China's automobile industry, the
application of intelligent manufacturing technology shows great potential. Research on
information interconnection, automated production lines, intelligent quality inspection and
automatic logistics configuration shows that networking of production equipment,
visualization of production data, paperless production documents, transparency of production
processes and unmanned production sites are key directions where intelligent manufacturing
technology is being applied in the car manufacturing sector [5]. These applications not only
raise the standard and efficiency of manufacturing, but also offer a wide range of
opportunities for the growth of the Chinese car sector. The intelligent manufacturing system
for automobile assembly obtains production information through the manufacturing
execution system (MES), drives and manages the operation of production line equipment,
and collects equipment processing data and result data [6]. The study of this system
demonstrates the important role of intelligent manufacturing systems in production
information management and equipment operation control. Simultaneously, the automotive
industry's intelligent production engineering relies heavily on big data and AI technology.
The application of intelligent quality inspection technology demonstrates the potential of
combining new AI and big data technologies with the automobile industry [7]. Through
engineering practice cases in actual production scenarios, the guiding role of these
technologies in production practice has been effectively verified, further revealing their
prospects in improving production quality and efficiency. The development and application
of stamping intelligent manufacturing operation system founded on carrier technology for
the industrial Internet of things achieves data sharing across businesses through innovative
system architecture [8]. The data-driven improvement in the quality, cost and efficiency of
stamping batch manufacturing business has set a benchmark for automobile stamping batch
intelligent manufacturing operations. These practices provide reference and reference for the
large-scale manufacture of goods using intelligent manufacturing technologies. In summary,
the application of intelligent manufacturing technology in the automotive industry, through
the combination of optimized management methods, human-machine interconnection,
information interconnection, automated production lines, intelligent quality inspection, and
automatic logistics configuration, not only improves production efficiency and quality but
3
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
also demonstrates its broad development prospects in the future. The continuous creation and
utilization of these technologies will continue to promote the intelligentization and
modernization of the automotive industry.
3.2 Industrial robots and manufacturing
The application of industrial robots in the manufacturing industry has significantly increased
the degree of automation and productivity. Intelligent manufacturing technology enables
robots to perform more sophisticated and flexible operations. In the intelligent manufacturing
flexible production line, industrial robots can realize all parts grabbing, loading, unloading,
clamping, part shifting and flipping, part turning, etc. in the manufacturing process [9]. They
are particularly suitable for the processing of large quantities and small parts, which can
greatly save labor costs and improve production efficiency. In intelligent manufacturing,
collaborative networks are regarded as one of the key infrastructures supporting intelligent
manufacturing. By building a collaborative network based on the method of software-defined
networking, a flexible dynamic routing mechanism based on data flow perception is
established, and the real-time positioning algorithm of mobile resources in the intelligent
workshop is improved. In addition, an active defense control flow table jump algorithm of
the collaborative network is designed to increase the system's stability and security [10].
In terms of industrial robot technology, the demand for intelligent manufacturing process
optimization has been studied in depth. Through the process optimization method assisted by
industrial robots, the manufacturing process has become more sophisticated and flexible,
thereby improving production efficiency and product quality [11]. Robot technology plays a
key role in intelligent manufacturing and can greatly increase the manufacturing process's
adaptability, effectiveness, and quality. In addition, research on the application of industrial
robots in the steel industry points out that the application of robot visual recognition and
perception technology as well as autonomous operation and collaboration technology can
improve production efficiency and quality, reduce labor costs and safety risks, and actualize
the production process's digitization and visualization, thereby enhancing the
competitiveness and sustainable development capabilities of enterprises [12]. The application
of mechatronics technology in intelligent manufacturing also shows significant advantages.
With the development of mechatronics technology, changes have been made to the traditional
mechanical production mode and equipment operation mode, which has improved production
efficiency and quality. This is particularly prominent in sensor technology, flexible
manufacturing technology, automation control technology, industrial robot technology, and
human-machine integration technology [13]. High-quality energy signal storage is facilitated
in the energy battery production process through the use of intelligent manufacturing
technologies. By researching the use of digitally intelligent manufacturing technologies in
the energy battery production process, it is found that improving safety helps to improve the
quality level of energy storage [14]. From energy conversion efficiency to energy storage
quality, the application of intelligent manufacturing technology in energy batteries has been
fully explored and verified. Finally, the application of multi-robot systems in intelligent
manufacturing has also achieved remarkable results. Through the task decomposition based
on role and capability constraints, centralized task allocation and distributed task allocation
methods, the tasks of large-scale heterogeneous multi-robot systems are optimally allocated,
so that multi-robot systems can collaborate to complete tasks in a reasonable and efficient
manner, which is suitable for task execution in unstructured environments [15]. In summary,
the application of intelligent manufacturing technology in collaborative networks, industrial
robots, mechatronics, energy battery manufacturing and multi-robot systems has not only
improved the production efficiency and quality of various industries, but also demonstrated
its broad development prospects and application potential. Future research should further
explore and improve these technologies to encourage the expansion of intelligent
manufacturing technology's use and development across additional sectors.
4 Application of intelligent manufacturing in the fields of
electronic information and education
4.1 Electronic information manufacturing
The application of intelligent manufacturing technology enhances production efficiency and
product quality in the electronic information manufacturing sector. Through the application
of big data analysis, the Internet of Things, and AI technology, the process of manufacture
has become intelligent and fully digitalized in the electronic information manufacturing
business. The essence of intelligent manufacturing lies in the creative fusion of modern
information technologies with conventional production, and it has a close positive correlation
with the state of growth of the electronic information sector. Due to the characteristics of the
electronic information industry gathering innovative resources and elements, it has become
the most active, driving and penetrating field of global innovation, and is a major factor
behind the current global economic and social growth [16].
The development of key technologies such as active perception and integration of real-
time information of manufacturing resources, service packaging and cloud access, and
intelligent manufacturing service optimization configuration methods has built an active
perception and optimization configuration system for intelligent manufacturing services
founded on the industrial Internet of Things [17]. This system architecture and operation
logic provide technical support for the efficient management of intelligent manufacturing
services. As an emerging paradigm of supply chain management, smart logistics realizes the
visualization, intelligence and efficiency of the logistics process through information
technology, big data analysis and the Internet of Things. Combining smart logistics with
intelligent manufacturing not only provides enterprises with more efficient production and
logistics management methods, but also promotes the emergence of new jobs [18]. In the era
of the Internet of Everything, positions have gradually evolved into highly intelligent and
complex work functions. As artificial intelligence is being applied in the sphere of intelligent
manufacturing more and more, the system implementation form of intelligent manufacturing
has been widely studied based on the definition of enterprise key performance indicators
(KPI) [19]. The main role of artificial intelligence technology in intelligent manufacturing
has been reflected through typical application scenarios, and its application map has been
proposed from the life cycle dimension, and common technologies have been summarized.
Through the analysis of the production links, artificial intelligence technology clearly plays
a role in increasing manufacturing efficiency and product quality, and it has promoted the
establishment of a standard system. The design and optimization of intelligent manufacturing
systems based on artificial intelligence technology realize the intelligence and optimization
of the manufacturing process by combining key technologies such as data collection and
analysis, intelligent perception and recognition, task scheduling and optimization,
automation and collaboration, and intelligent optimization and decision support[20].The
analysis of historical data, real-time data and market demand helps to optimize production
planning and scheduling, improve resource utilization efficiency and delivery results. The
application of machine learning and deep learning technologies can monitor and predict the
real-time production process' quality, reduce scrap rate and customer complaints, and
improve product quality.
4
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
also demonstrates its broad development prospects in the future. The continuous creation and
utilization of these technologies will continue to promote the intelligentization and
modernization of the automotive industry.
3.2 Industrial robots and manufacturing
The application of industrial robots in the manufacturing industry has significantly increased
the degree of automation and productivity. Intelligent manufacturing technology enables
robots to perform more sophisticated and flexible operations. In the intelligent manufacturing
flexible production line, industrial robots can realize all parts grabbing, loading, unloading,
clamping, part shifting and flipping, part turning, etc. in the manufacturing process [9]. They
are particularly suitable for the processing of large quantities and small parts, which can
greatly save labor costs and improve production efficiency. In intelligent manufacturing,
collaborative networks are regarded as one of the key infrastructures supporting intelligent
manufacturing. By building a collaborative network based on the method of software-defined
networking, a flexible dynamic routing mechanism based on data flow perception is
established, and the real-time positioning algorithm of mobile resources in the intelligent
workshop is improved. In addition, an active defense control flow table jump algorithm of
the collaborative network is designed to increase the system's stability and security [10].
In terms of industrial robot technology, the demand for intelligent manufacturing process
optimization has been studied in depth. Through the process optimization method assisted by
industrial robots, the manufacturing process has become more sophisticated and flexible,
thereby improving production efficiency and product quality [11]. Robot technology plays a
key role in intelligent manufacturing and can greatly increase the manufacturing process's
adaptability, effectiveness, and quality. In addition, research on the application of industrial
robots in the steel industry points out that the application of robot visual recognition and
perception technology as well as autonomous operation and collaboration technology can
improve production efficiency and quality, reduce labor costs and safety risks, and actualize
the production process's digitization and visualization, thereby enhancing the
competitiveness and sustainable development capabilities of enterprises [12]. The application
of mechatronics technology in intelligent manufacturing also shows significant advantages.
With the development of mechatronics technology, changes have been made to the traditional
mechanical production mode and equipment operation mode, which has improved production
efficiency and quality. This is particularly prominent in sensor technology, flexible
manufacturing technology, automation control technology, industrial robot technology, and
human-machine integration technology [13]. High-quality energy signal storage is facilitated
in the energy battery production process through the use of intelligent manufacturing
technologies. By researching the use of digitally intelligent manufacturing technologies in
the energy battery production process, it is found that improving safety helps to improve the
quality level of energy storage [14]. From energy conversion efficiency to energy storage
quality, the application of intelligent manufacturing technology in energy batteries has been
fully explored and verified. Finally, the application of multi-robot systems in intelligent
manufacturing has also achieved remarkable results. Through the task decomposition based
on role and capability constraints, centralized task allocation and distributed task allocation
methods, the tasks of large-scale heterogeneous multi-robot systems are optimally allocated,
so that multi-robot systems can collaborate to complete tasks in a reasonable and efficient
manner, which is suitable for task execution in unstructured environments [15]. In summary,
the application of intelligent manufacturing technology in collaborative networks, industrial
robots, mechatronics, energy battery manufacturing and multi-robot systems has not only
improved the production efficiency and quality of various industries, but also demonstrated
its broad development prospects and application potential. Future research should further
explore and improve these technologies to encourage the expansion of intelligent
manufacturing technology's use and development across additional sectors.
4 Application of intelligent manufacturing in the fields of
electronic information and education
4.1 Electronic information manufacturing
The application of intelligent manufacturing technology enhances production efficiency and
product quality in the electronic information manufacturing sector. Through the application
of big data analysis, the Internet of Things, and AI technology, the process of manufacture
has become intelligent and fully digitalized in the electronic information manufacturing
business. The essence of intelligent manufacturing lies in the creative fusion of modern
information technologies with conventional production, and it has a close positive correlation
with the state of growth of the electronic information sector. Due to the characteristics of the
electronic information industry gathering innovative resources and elements, it has become
the most active, driving and penetrating field of global innovation, and is a major factor
behind the current global economic and social growth [16].
The development of key technologies such as active perception and integration of real-
time information of manufacturing resources, service packaging and cloud access, and
intelligent manufacturing service optimization configuration methods has built an active
perception and optimization configuration system for intelligent manufacturing services
founded on the industrial Internet of Things [17]. This system architecture and operation
logic provide technical support for the efficient management of intelligent manufacturing
services. As an emerging paradigm of supply chain management, smart logistics realizes the
visualization, intelligence and efficiency of the logistics process through information
technology, big data analysis and the Internet of Things. Combining smart logistics with
intelligent manufacturing not only provides enterprises with more efficient production and
logistics management methods, but also promotes the emergence of new jobs [18]. In the era
of the Internet of Everything, positions have gradually evolved into highly intelligent and
complex work functions. As artificial intelligence is being applied in the sphere of intelligent
manufacturing more and more, the system implementation form of intelligent manufacturing
has been widely studied based on the definition of enterprise key performance indicators
(KPI) [19]. The main role of artificial intelligence technology in intelligent manufacturing
has been reflected through typical application scenarios, and its application map has been
proposed from the life cycle dimension, and common technologies have been summarized.
Through the analysis of the production links, artificial intelligence technology clearly plays
a role in increasing manufacturing efficiency and product quality, and it has promoted the
establishment of a standard system. The design and optimization of intelligent manufacturing
systems based on artificial intelligence technology realize the intelligence and optimization
of the manufacturing process by combining key technologies such as data collection and
analysis, intelligent perception and recognition, task scheduling and optimization,
automation and collaboration, and intelligent optimization and decision support[20].The
analysis of historical data, real-time data and market demand helps to optimize production
planning and scheduling, improve resource utilization efficiency and delivery results. The
application of machine learning and deep learning technologies can monitor and predict the
real-time production process' quality, reduce scrap rate and customer complaints, and
improve product quality.
5
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
4.2 Education and training of talents in intelligent manufacturing
The speedy growth of intelligent manufacturing has increased the demand for high-quality
talents. Educational institutions need to adapt to this trend and cultivate talents with
intelligent manufacturing technology and management capabilities to meet the needs of
industry development. There are strong cross-correlations and correlations between the
problems and causes of cultivating talents in intelligent manufacturing. Fundamentally
speaking, the cultivation of talents in intelligent manufacturing needs to focus on and solve
the core issues of what kind of talents to cultivate and how to cultivate talents. To this end,
first of all, for the former, we should consider deepening the integration of industry and
academia, strengthening school-enterprise cooperation, connecting with social needs,
mastering technological trends, and cultivating and delivering truly useful and adaptable
intelligent manufacturing professionals for society. Secondly, it is necessary to start with the
teaching content, teaching methods, and teaching team, overcome the inertial constraints of
traditional disciplines and professional talent cultivation, and cultivate students'
comprehensive abilities.
In terms of the cultivation of intelligent manufacturing talents, there are various
influencing factors, and there is a large gap between my country and developed countries in
the cultivation of high-end talents. The country urgently needs to formulate a positive talent
policy, reform the education system, and cultivate a large number of intelligent
manufacturing talents at different levels [21]. By establishing the goal of cultivating
innovative and intelligent talents under a long-term study system, strengthening the reform
of progressive teaching practice courses, continuing to explore systematic curriculum
development methods, developing a multi-resource learning system under the "Internet +"
model, and promoting the construction of a networked supervision and evaluation
mechanism, we can effectively promote the development of innovative talent training models
in higher education in the era of intelligent manufacturing [22].
5 Application of intelligent manufacturing in the fields of
electronic information and education
5.1 Shipbuilding industry
The application of intelligent manufacturing in the shipbuilding sector has the potential to
enhance production efficiency and product quality, lower production costs, and actualize the
digitization, intelligence, and automation of the production process. The application of
intelligent manufacturing technology in the shipbuilding industry can realize the
collaborative evaluation of multi-source data, facilitate the overall control of production, and
effectively form an industrial chain for shipbuilding, logistics, management and production,
which greatly improves the flexibility, automation and production efficiency of shipbuilding.
From the experience of shipbuilding in some advanced countries, with the release of
technologies for intelligent manufacturing, the manufacturing mode of the entire ship has
been greatly improved, and the production can be controlled from multiple directions. At the
same time, the level of decision-making and intelligent production can be improved through
information integration and modern manufacturing methods.
The utilization of intelligent manufacturing technologies within the offshore equipment
and shipbuilding sectors has also been studied in depth. Key technologies include digital
design and manufacturing technology, intelligent sensor and control technology, and
artificial intelligence and big data analysis technology [23]. The industry's sustainable growth
is encouraged by these technologies, which also set the stage for next technical innovations
and raise production quality and efficiency. In outfitting parts management, the application
of identification and collection technology optimizes the warehousing and distribution
process and realizes the rapid identification and real-time control of outfitting parts [24]. This
application demonstrates the potential of intelligent manufacturing technology in improving
logistics management efficiency. Research on the intelligent manufacturing system of the
shipbuilding industry shows that the integration of intelligent manufacturing systems, virtual
reality systems and digital shipbuilding systems can significantly improve the level of
intelligence in shipbuilding [25]. The application of these technologies boosts the industry's
capacity for sustainable development and competitiveness in addition to increasing
production quality and efficiency.
5.2 Aviation manufacturing industry
The aviation manufacturing industry is a technology-intensive industry. By applying
intelligent manufacturing technologies, manufacturing effectiveness and quality of final
goods may be increased, and the production process can be automated and refined. The
upgrade of intelligent manufacturing in the aviation manufacturing industry involves four
aspects: product design, manufacturing, after-sales service, and management activities
around the entire life cycle of the product. By establishing a data application system based
on industrial big data, the transformation of aviation manufacturing enterprises from
traditional process discrete manufacturing to digital intelligent manufacturing driven by
processes and data can be completed.
Within the aircraft manufacturing sector, the application of intelligent manufacturing
technologies continues to deepen, involving virtualization technology, flexible technology,
and data acquisition and analysis systems [26]. The application of these technologies has
improved the production efficiency and quality of aviation manufacturing. Through
virtualization technology, aviation manufacturing enterprises can perform high-precision
simulation and optimization, reducing the trial-and-error costs in actual production. Flexible
technology enables production lines to quickly adjust and adapt to different production needs,
improving production flexibility and efficiency. The introduction of data acquisition and
analysis systems facilitates the real-time monitoring and analysis of many types of data in
the production process, thereby optimizing the manufacturing process and improving product
quality. Research on the intelligent production line architecture for aviation engine
manufacturing shows that the characteristics and elements of intelligent manufacturing are
fully reflected in this field [27]. The designed intelligent manufacturing production line
architecture covers the implementation content, key technologies, and implementation
methods, providing an important technical reference for aviation engine manufacturing
companies. These technologies and methods not only improve production efficiency and
quality, but also promote the development of aviation engine manufacturing industry towards
intelligence and digitalization. In addition, combined with the updating and transformation
background of aircraft production companies, a specific solution is proposed with industrial
big data as the analysis method and digital application as the implementation method. The
application of industrial big data enables enterprises to discover potential optimization space
and improvement measures through the analysis of large amounts of production data[28].
The promotion of digital applications makes enterprises more efficient and accurate in the
implementation process, thereby achieving the goal of transformation and upgrading.
6 Future research directions of intelligent manufacturing
6
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
4.2 Education and training of talents in intelligent manufacturing
The speedy growth of intelligent manufacturing has increased the demand for high-quality
talents. Educational institutions need to adapt to this trend and cultivate talents with
intelligent manufacturing technology and management capabilities to meet the needs of
industry development. There are strong cross-correlations and correlations between the
problems and causes of cultivating talents in intelligent manufacturing. Fundamentally
speaking, the cultivation of talents in intelligent manufacturing needs to focus on and solve
the core issues of what kind of talents to cultivate and how to cultivate talents. To this end,
first of all, for the former, we should consider deepening the integration of industry and
academia, strengthening school-enterprise cooperation, connecting with social needs,
mastering technological trends, and cultivating and delivering truly useful and adaptable
intelligent manufacturing professionals for society. Secondly, it is necessary to start with the
teaching content, teaching methods, and teaching team, overcome the inertial constraints of
traditional disciplines and professional talent cultivation, and cultivate students'
comprehensive abilities.
In terms of the cultivation of intelligent manufacturing talents, there are various
influencing factors, and there is a large gap between my country and developed countries in
the cultivation of high-end talents. The country urgently needs to formulate a positive talent
policy, reform the education system, and cultivate a large number of intelligent
manufacturing talents at different levels [21]. By establishing the goal of cultivating
innovative and intelligent talents under a long-term study system, strengthening the reform
of progressive teaching practice courses, continuing to explore systematic curriculum
development methods, developing a multi-resource learning system under the "Internet +"
model, and promoting the construction of a networked supervision and evaluation
mechanism, we can effectively promote the development of innovative talent training models
in higher education in the era of intelligent manufacturing [22].
5 Application of intelligent manufacturing in the fields of
electronic information and education
5.1 Shipbuilding industry
The application of intelligent manufacturing in the shipbuilding sector has the potential to
enhance production efficiency and product quality, lower production costs, and actualize the
digitization, intelligence, and automation of the production process. The application of
intelligent manufacturing technology in the shipbuilding industry can realize the
collaborative evaluation of multi-source data, facilitate the overall control of production, and
effectively form an industrial chain for shipbuilding, logistics, management and production,
which greatly improves the flexibility, automation and production efficiency of shipbuilding.
From the experience of shipbuilding in some advanced countries, with the release of
technologies for intelligent manufacturing, the manufacturing mode of the entire ship has
been greatly improved, and the production can be controlled from multiple directions. At the
same time, the level of decision-making and intelligent production can be improved through
information integration and modern manufacturing methods.
The utilization of intelligent manufacturing technologies within the offshore equipment
and shipbuilding sectors has also been studied in depth. Key technologies include digital
design and manufacturing technology, intelligent sensor and control technology, and
artificial intelligence and big data analysis technology [23]. The industry's sustainable growth
is encouraged by these technologies, which also set the stage for next technical innovations
and raise production quality and efficiency. In outfitting parts management, the application
of identification and collection technology optimizes the warehousing and distribution
process and realizes the rapid identification and real-time control of outfitting parts [24]. This
application demonstrates the potential of intelligent manufacturing technology in improving
logistics management efficiency. Research on the intelligent manufacturing system of the
shipbuilding industry shows that the integration of intelligent manufacturing systems, virtual
reality systems and digital shipbuilding systems can significantly improve the level of
intelligence in shipbuilding [25]. The application of these technologies boosts the industry's
capacity for sustainable development and competitiveness in addition to increasing
production quality and efficiency.
5.2 Aviation manufacturing industry
The aviation manufacturing industry is a technology-intensive industry. By applying
intelligent manufacturing technologies, manufacturing effectiveness and quality of final
goods may be increased, and the production process can be automated and refined. The
upgrade of intelligent manufacturing in the aviation manufacturing industry involves four
aspects: product design, manufacturing, after-sales service, and management activities
around the entire life cycle of the product. By establishing a data application system based
on industrial big data, the transformation of aviation manufacturing enterprises from
traditional process discrete manufacturing to digital intelligent manufacturing driven by
processes and data can be completed.
Within the aircraft manufacturing sector, the application of intelligent manufacturing
technologies continues to deepen, involving virtualization technology, flexible technology,
and data acquisition and analysis systems [26]. The application of these technologies has
improved the production efficiency and quality of aviation manufacturing. Through
virtualization technology, aviation manufacturing enterprises can perform high-precision
simulation and optimization, reducing the trial-and-error costs in actual production. Flexible
technology enables production lines to quickly adjust and adapt to different production needs,
improving production flexibility and efficiency. The introduction of data acquisition and
analysis systems facilitates the real-time monitoring and analysis of many types of data in
the production process, thereby optimizing the manufacturing process and improving product
quality. Research on the intelligent production line architecture for aviation engine
manufacturing shows that the characteristics and elements of intelligent manufacturing are
fully reflected in this field [27]. The designed intelligent manufacturing production line
architecture covers the implementation content, key technologies, and implementation
methods, providing an important technical reference for aviation engine manufacturing
companies. These technologies and methods not only improve production efficiency and
quality, but also promote the development of aviation engine manufacturing industry towards
intelligence and digitalization. In addition, combined with the updating and transformation
background of aircraft production companies, a specific solution is proposed with industrial
big data as the analysis method and digital application as the implementation method. The
application of industrial big data enables enterprises to discover potential optimization space
and improvement measures through the analysis of large amounts of production data[28].
The promotion of digital applications makes enterprises more efficient and accurate in the
implementation process, thereby achieving the goal of transformation and upgrading.
6 Future research directions of intelligent manufacturing
7
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
In the future, intelligent manufacturing will be more closely integrated with the industrial
Internet to form a new model of "industrial Internet platform + intelligent manufacturing".
The industrial Internet can realize the interconnection between equipment, systems and
platforms, break the information island, and promote the real-time transmission and sharing
of data. Through the industrial Internet platform, enterprises can realize the whole process
monitoring, optimization and prediction of the production process, improve production
efficiency and product quality. At the same time, the industrial Internet can also support
remote control and maintenance, lower maintenance and operating expenses, and increase
equipment utilization. The application of big data and cloud computing technology in
intelligent manufacturing will be further deepened. Big data technology can extract valuable
information from massive production data to help enterprises make accurate production
decisions. For example, by analyzing production data, bottlenecks and improvement points
in the production process can be found, production processes can be optimized, and
production costs can be reduced. Cloud computing provides powerful computing and storage
capabilities, enabling enterprises to process and analyze large amounts of data in real time,
supporting the rapid response and flexible production of intelligent manufacturing. Future
studies will concentrate on enhancing the big data and cloud computing technologies'
integration to raise the intelligence of intelligent manufacturing systems. Mechatronics
technology is an important part of intelligent manufacturing, and its development in the future
will show a trend of being more intelligent and integrated. Mechatronics technology includes
the integration of multiple disciplines such as mechanics, electronics, control, and computers.
It realizes the automation and intelligence of equipment through advanced sensors, actuators,
and control systems. With the development of artificial intelligence technology,
mechatronics equipment will have stronger autonomous learning and decision-making
capabilities and be able to respond more flexibly to complex production environments. Future
investigations will center on the advancement and utilization of novel mechatronics
technology, along with its synchronized enhancement in conjunction with other intelligent
manufacturing technologies.
7 Conclusion
This paper reviews the specific applications of intelligent manufacturing technology in
multiple industries such as electronic information manufacturing, education and talent
training, mold manufacturing, shipbuilding and aviation manufacturing, and reveals the
significant role of intelligent manufacturing in improving production efficiency, reducing
costs and enhancing innovation capabilities. Through a systematic analysis of existing
literature and actual cases, this paper summarizes the advantages of intelligent manufacturing
in various industries and points out the actual application of the three main intelligent
manufacturing technologies, industrial Internet technology, big data analysis technology, and
mechatronics technology. In addition, intelligent manufacturing has shown great potential
for change in various industries and has boosted the shift from conventional production to
digital and intelligent. In the future, the research and application directions of intelligent
manufacturing will focus on the following aspects: first, promote the deep integration of
intelligent manufacturing and industrial Internet to achieve comprehensive interconnection
of production equipment and systems; second, use big data and cloud computing technology
to raise the production process's intelligence level to achieve accurate and adaptable
manufacturing; third, quicken the pace of mechatronics technology development and raise
the automation and intelligence of equipment. These research directions will further
encourage revolutionary changes in the manufacturing sector and give additional momentum
to the development of intelligent manufacturing.
References
1. S. Shen, Z. Yang. Analysis of the concept and model of industrial Internet. Journal of
Nanjing University of Posts and Telecommunications (Natural Science Edition), 35, 1-
10 (2015).
2. Z. Zeng. Big data analysis: direction, method and tools. Intelligence Theory and
Practice, 40, 1-5 (2017).
3. J. Wang. Practical research on mechatronics technology in intelligent manufacturing.
Internal Combustion Engine and Accessories, 09, 133-134 (2017).
4. W. Wu. Development and application of intelligent manufacturing technology for new
energy vehicles. Heavy Duty Truck, 02, 43-44 (2024).
5. S. Sun. Application of intelligent manufacturing in the automotive industry.
Automotive Engineer, 08, 49-51 (2017).
6. T. Ma. Application of intelligent manufacturing in automobile assembly. Automotive
Technician, 03, 6-9 (2023).
7. B. Cao, J. Hu, L. Chen, K. Tian. Intelligent manufacturing engineering practice in the
automotive industry supported by big data and artificial intelligence technology. New
Industrialization, 13, 95-103 (2023).
8. J. Wang, X. Zhao, J. Fang, et al. Development and application of automobile stamping
intelligent manufacturing operation system based on industrial Internet of Things.
Automobile Manufacturing Industry, 01, 21-24+28 (2023).
9. Y. Chen. Design of "intelligent manufacturing" flexible production line based on
industrial robots. Manufacturing Automation, 39, 55-57+64, 2017.
10. Y. Bai. Research on key technologies of collaborative network for intelligent
manufacturing. 2023.
11. R. Cai. Research on intelligent manufacturing process optimization assisted by
industrial robots. Modern Manufacturing Technology and Equipment, 60, 129-131
(2023).
12. J. Chen. Research on the application of industrial robots in intelligent manufacturing in
the steel industry. Metallurgical Management, 18, 53-55+64 (2023).
13. D. Tian. Research on the application of mechatronics technology in intelligent
manufacturing. Mechanical Industry Standardization and Quality, 11, 33-36 (2022).
14. L. Fan, Y. Zhang. Full-process digital intelligent manufacturing technology in energy
battery manufacturing. Energy Storage Science and Technology, 13, 1356-1358
(2024).
15. Wang Youfa. Research on task allocation of multi-robot system for intelligent
manufacturing. 2016.
16. Wang Xueyu. Electronic information industry towards intelligent manufacturing.
Financial Technology Era, 10, 34 (2015).
17. G. Zhang. Research on active perception and distributed collaborative optimization
configuration method of intelligent manufacturing services based on industrial Internet
of Things. 2018.
18. P. Cao. Job analysis under the integration of smart logistics and intelligent
manufacturing. Zhongguancun, 02, 96-97 (2024).
19. R. Li, S. Wei, Y. Cheng, B. Hou. Research on typical application scenarios and
standard system of artificial intelligence technology in intelligent manufacturing. China
Engineering Science, 20, 112-117 (2018).
8
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
In the future, intelligent manufacturing will be more closely integrated with the industrial
Internet to form a new model of "industrial Internet platform + intelligent manufacturing".
The industrial Internet can realize the interconnection between equipment, systems and
platforms, break the information island, and promote the real-time transmission and sharing
of data. Through the industrial Internet platform, enterprises can realize the whole process
monitoring, optimization and prediction of the production process, improve production
efficiency and product quality. At the same time, the industrial Internet can also support
remote control and maintenance, lower maintenance and operating expenses, and increase
equipment utilization. The application of big data and cloud computing technology in
intelligent manufacturing will be further deepened. Big data technology can extract valuable
information from massive production data to help enterprises make accurate production
decisions. For example, by analyzing production data, bottlenecks and improvement points
in the production process can be found, production processes can be optimized, and
production costs can be reduced. Cloud computing provides powerful computing and storage
capabilities, enabling enterprises to process and analyze large amounts of data in real time,
supporting the rapid response and flexible production of intelligent manufacturing. Future
studies will concentrate on enhancing the big data and cloud computing technologies'
integration to raise the intelligence of intelligent manufacturing systems. Mechatronics
technology is an important part of intelligent manufacturing, and its development in the future
will show a trend of being more intelligent and integrated. Mechatronics technology includes
the integration of multiple disciplines such as mechanics, electronics, control, and computers.
It realizes the automation and intelligence of equipment through advanced sensors, actuators,
and control systems. With the development of artificial intelligence technology,
mechatronics equipment will have stronger autonomous learning and decision-making
capabilities and be able to respond more flexibly to complex production environments. Future
investigations will center on the advancement and utilization of novel mechatronics
technology, along with its synchronized enhancement in conjunction with other intelligent
manufacturing technologies.
7 Conclusion
This paper reviews the specific applications of intelligent manufacturing technology in
multiple industries such as electronic information manufacturing, education and talent
training, mold manufacturing, shipbuilding and aviation manufacturing, and reveals the
significant role of intelligent manufacturing in improving production efficiency, reducing
costs and enhancing innovation capabilities. Through a systematic analysis of existing
literature and actual cases, this paper summarizes the advantages of intelligent manufacturing
in various industries and points out the actual application of the three main intelligent
manufacturing technologies, industrial Internet technology, big data analysis technology, and
mechatronics technology. In addition, intelligent manufacturing has shown great potential
for change in various industries and has boosted the shift from conventional production to
digital and intelligent. In the future, the research and application directions of intelligent
manufacturing will focus on the following aspects: first, promote the deep integration of
intelligent manufacturing and industrial Internet to achieve comprehensive interconnection
of production equipment and systems; second, use big data and cloud computing technology
to raise the production process's intelligence level to achieve accurate and adaptable
manufacturing; third, quicken the pace of mechatronics technology development and raise
the automation and intelligence of equipment. These research directions will further
encourage revolutionary changes in the manufacturing sector and give additional momentum
to the development of intelligent manufacturing.
References
1. S. Shen, Z. Yang. Analysis of the concept and model of industrial Internet. Journal of
Nanjing University of Posts and Telecommunications (Natural Science Edition), 35, 1-
10 (2015).
2. Z. Zeng. Big data analysis: direction, method and tools. Intelligence Theory and
Practice, 40, 1-5 (2017).
3. J. Wang. Practical research on mechatronics technology in intelligent manufacturing.
Internal Combustion Engine and Accessories, 09, 133-134 (2017).
4. W. Wu. Development and application of intelligent manufacturing technology for new
energy vehicles. Heavy Duty Truck, 02, 43-44 (2024).
5. S. Sun. Application of intelligent manufacturing in the automotive industry.
Automotive Engineer, 08, 49-51 (2017).
6. T. Ma. Application of intelligent manufacturing in automobile assembly. Automotive
Technician, 03, 6-9 (2023).
7. B. Cao, J. Hu, L. Chen, K. Tian. Intelligent manufacturing engineering practice in the
automotive industry supported by big data and artificial intelligence technology. New
Industrialization, 13, 95-103 (2023).
8. J. Wang, X. Zhao, J. Fang, et al. Development and application of automobile stamping
intelligent manufacturing operation system based on industrial Internet of Things.
Automobile Manufacturing Industry, 01, 21-24+28 (2023).
9. Y. Chen. Design of "intelligent manufacturing" flexible production line based on
industrial robots. Manufacturing Automation, 39, 55-57+64, 2017.
10. Y. Bai. Research on key technologies of collaborative network for intelligent
manufacturing. 2023.
11. R. Cai. Research on intelligent manufacturing process optimization assisted by
industrial robots. Modern Manufacturing Technology and Equipment, 60, 129-131
(2023).
12. J. Chen. Research on the application of industrial robots in intelligent manufacturing in
the steel industry. Metallurgical Management, 18, 53-55+64 (2023).
13. D. Tian. Research on the application of mechatronics technology in intelligent
manufacturing. Mechanical Industry Standardization and Quality, 11, 33-36 (2022).
14. L. Fan, Y. Zhang. Full-process digital intelligent manufacturing technology in energy
battery manufacturing. Energy Storage Science and Technology, 13, 1356-1358
(2024).
15. Wang Youfa. Research on task allocation of multi-robot system for intelligent
manufacturing. 2016.
16. Wang Xueyu. Electronic information industry towards intelligent manufacturing.
Financial Technology Era, 10, 34 (2015).
17. G. Zhang. Research on active perception and distributed collaborative optimization
configuration method of intelligent manufacturing services based on industrial Internet
of Things. 2018.
18. P. Cao. Job analysis under the integration of smart logistics and intelligent
manufacturing. Zhongguancun, 02, 96-97 (2024).
19. R. Li, S. Wei, Y. Cheng, B. Hou. Research on typical application scenarios and
standard system of artificial intelligence technology in intelligent manufacturing. China
Engineering Science, 20, 112-117 (2018).
9
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
20. T. He. Design and optimization of intelligent manufacturing system based on artificial
intelligence technology. China High-tech, 23, 37-39 (2023).
21. X. Chen, Y. Fan. Dynamic analysis in the training of intelligent manufacturing talents.
Journal of Higher Education, 9, 158-162 (2023).
22. H. Fu, T. Xu. Innovative talent training model of higher education in China in the era
of intelligent manufacturing. Journal of Pingdingshan University, 33, 95-98 (2018).
23. H. Wang. Research on the development path of intelligent manufacturing of ships and
offshore equipment. Ship Materials and Market, 32, 120-122 (2024).
24. X. Wang. Research on the application of outfitting parts identification and collection
technology for ship intelligent manufacturing. 2021.
25. Y. Xiang. Application of intelligent manufacturing technology in the shipbuilding
industry. Journal of Jining Normal University, 40, 34-37 (2018).
26. B. Cao, Z. Wang. Research on intelligent manufacturing in the aviation manufacturing
industry. Modern Industrial Economy and Informatization, 13, 60-62 (2023).
27. J. Shan, Z. Wang, H. Chen, Z. Cao. Research on the construction technology of
intelligent manufacturing production line for aviation engines. Aviation Manufacturing
Technology, 16, 52-56 (2016).
28. R. Xu, J. Xu, N. Xue. Research on intelligent manufacturing upgrade scheme based on
industrial big data for aviation manufacturing enterprises. Aviation Precision
Manufacturing Technology, 59, 47-49+54 (2023).
10
MATEC Web of Conferences 404, 02007 (2024) https://doi.org/10.1051/matecconf/202440402007
MENEC 2024
Available via license: CC BY 4.0
Content may be subject to copyright.