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The Digital Media Art and Design System under the Integration of Computer Big Data ChatGPT Technology
Abstract
Traditional digital media art and design systems take a long time to run and cannot handle a large number of objects simultaneously. Therefore, the author proposes a digital media art and design method based on ChatGPT technology. ChatGPT technology is an important part of networking.Prepare to provide conference support for various applications such as customer service, personal assistant, robotic interview, and so on. ChatGPT can not only answer the question that is set, but also solve the question openly.The comprehensiveness and intelligence of ChatGPT have attracted widespread attention since its launch. The hardware system adopts dual core TMS320C6657 and DDR3Thel1333 series processors as the core circuit, together with high speed external storage, to expand the image transmission line of multi-data; System software uses module architecture to design image modules, video modules, and voice modules, all of which are integrated into the core of the system as modules. In this experiment, 10 images were transferred and the running time was tested. Experimental results showed that, the traditional digital media art and design system had three errors, which took more time to run.
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Based on the Internet of Things technology, this paper analyzes the concept and basic characteristics of visualization technology and builds a visualization digital art product information system based on VRML virtual reality technology. This article first explains the background and significance, analyzes the research status at home and abroad, introduces the application of virtual realization technology, and puts forward the technical route and main research content on this basis. After field inspection of art products, the system was analyzed according to the actual situation. After analyzing the needs and goals of the system, the overall structure of the system was proposed. Under the overall framework, this paper designs the system and designs the system’s visualization and real-time interaction modules. At the same time, combined with VRML technology to realize the visual 3D modeling of virtual art products, we establish the 3D model of the entire art product. Users can choose between role roaming and camera roaming. Finally, we made a summary statement to the full text and looked forward to the application prospects and development trends of information visualization technology in digital art products. During the experiment, by calling the HTC method in the Unity 3D system, this article uses the Unity 3D engine to implement UI scene loading and VR rendering technology optimization and realizes design knowledge through the integration of art product design models and IoT data interactive functions and dynamic loading of scenes. The effect of the model on the quality prediction is analyzed through experiments. The results show that the performance of the former is better than the latter two models, and it has a good performance on unbalanced data processing, which verifies the performance and effectiveness of the algorithm model.
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Table tennis is a sport that is easy to learn, difficult to master, and fun to play, and is arguably one of the most brain-burning sports in sports. As grip training is the foundation of table tennis training, it is important to study intelligent grip training methods for table tennis in order to improve the level of competition and training. Based on this, this paper combines computerized somatosensory technology to build a table tennis grip training system, so as to realize the optimal design of table tennis grip training system.
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This article analyzes the expressiveness of 3D animation processing technology in terms of lens, character movement, light and shadow, detail shaping, visual special effects, and traditional elements. This paper studies the key points of technical application such as logical structure establishment, 3D animation modeling, animation model texture rendering, and dynamic interactive processing. The author sorted out the test environment, animation modeling test, rendering result test, interactive function evaluation, etc. The purpose of this article is to improve the content rationality of modern art design system and improve the application effect of 3D animation processing technology.
With the rapid development of my country’s real estate and other pillar industries and the acceleration of urbanization. The furniture industry is also showing a trend of rapid development. At present, Chinese traditional furniture has long been unable to meet the needs of consumers in some functional designs. Based on this, this paper proposes a furniture design system based on big data and information technology. Make full use of the existing network environment, hardware equipment, and software technology to build a furniture product big data cloud platform that can meet the needs of business development on the basis of ensuring that the core business structure is advanced, efficient and stable. This paper studies the huge changes that the home design system will face under the influence of big data, and conducts an in-depth analysis of the industrial environment, operation mode, information transmission security and other characteristics of the home system under the background of the big data era. Research shows that under the background of the era of big data, the establishment of a big data platform for furniture products is facing new development opportunities. The development of electronic information technology provides strong support for platform construction. Utilize electronic information technology to continuously aggregate furniture product information from various channels, deeply analyze the status of furniture products, and explore furniture product quality risks, thereby building a furniture product big data cloud platform.
With the rapid development of economy in our country, computer technology, art design and related industries have also flourished. Social development needs art design talents. Therefore, domestic colleges and universities have gradually established relevant art design majors to cultivate artistic talent with high-quality and high-level. This article analyzes the necessity and shortcomings of art design education in Chinese colleges and universities, and studies the new mode of art design education in Chinese colleges and universities assisted by computer technology. With the development of my country’s reform and opening up, the planned economy has become a market economy, and my country’s social economy has also achieved significant results. On the premise of guaranteeing people’s material life, we are faced with the problem of strengthening the spiritual construction of our people, that is, the demand for design and aesthetics. The rapid development of the market economy has rapidly promoted society’s demand for all kinds of talents, and the construction of people’s spiritual civilization is the demand for talents. At present, many colleges and universities in our country have launched art design majors, but there are still many shortcomings and deficiencies in the education of this major. Therefore, strengthening the exploration of new models of art design education in colleges and universities assisted by computer technology is a topic that we should always carry out [1-3] .
In order to improve data security and network data security in the digital economy-driven environment, this paper combines data security technology and network security technology to build a digital economy security management and control system. Moreover, this paper describes the data encryption of the data owners before the framework index and the composition and construction method of the corresponding EncIR tree, and analyzes the spatial keyword group query algorithm on the EncIR tree. In addition, this paper analyzes the experimental performance of index building and spatial query, and builds an intelligent digital economy security system on the basis of these algorithms. The experimental research results verify that the data security technology and network data system driven by the digital economy have good security performance, and on this basis, follow-up security regulations can be formulated.
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Aerobics was officially introduced into my country in the 1980 s. With the further development of sports, Chinese universities and primary and secondary schools gradually introduced aerobics and related courses into teaching, making aerobics develop rapidly. Due to objective reasons, the teaching of aerobics has always been at a low-efficiency teaching level. Therefore, it is urgent to establish a digital system of aerobics information. The aerobics knowledge database is for aerobics teachers to publish teaching knowledge, students learn aerobics knowledge and interact with teachers. Platform, the platform can use various technical means to increase the relevant knowledge content, enrich the means of interaction between the platform and students, the system architecture mainly solves the connection of various links in the system application, the deployment of subsystems, and the storage of information. On the basis of the platform, it provides a powerful technical support for the teaching and promotion of aerobics. The experimental results of this paper show that the system shows that the self-evaluation of aerobics of the experimental class in the male group is 0% in the 6th class, and 100% is satisfied or above. The self-evaluation of the aerobics of the experimental class of the female group is in the fourth. The dissatisfaction rate is 0% during the course, and 100% is satisfied or above. From this point of view, the system meets the requirements.
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The assembly of a machine tool modular fixture with a complex structure, flexible layout and poor regularity characteristics is used as an example in this paper to establish an IOMT system for optimizing the assembly sequence of a machine tool modular fixture based on IOT technology driven by modern intelligent identification and acquisition technology, with the aim of addressing the shortcomings of existing assembly technology in the traditional serial design method. From the perspective of an inverse sequence of an assembly sequence, and combined with the disassembly sequence data extracted by the perceptual assembly layer control unit under the environment of the IOT, the disassembly sequence data can be mathematically expressed by using three mainstream heuristic algorithms (i.e. the artificial fish swarm algorithm, the genetic algorithm, and the ant colony algorithm), while considering the disassembly quality, disassembly cycle and cost. Then, the three algorithm models are used to analyse the example of a machine tool modular fixture, and the calculation efficiency and solution accuracy are comprehensively evaluated; Simulation results show that the ant colony algorithm has the highest computational efficiency and the highest accuracy in a complex data environment. Therefore, the construction of an IOMT system for optimizing the assembly sequence of a machine tool modular fixture can be realized by using the ant colony algorithm.