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Implementation of Multidimensional Environmental-Economic Collaborative Management in IoT Environment

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The Internet of Things (IoT) has gotten a lot of attention as a next-generation Internet application, and its realization, which connects things, people, and things, is the focal point of a new round of high-tech competition around the world. Network technology has a significant impact on people’s lives today, thanks to the rapid development of the Internet, and the Internet of Things (IoT) is a technological innovation of the times that promotes the development of information technology. The Internet of Things has given the logistics industry a new lease on life, allowing it to grow more intelligently. The modern logistics industry is a modern service industry that includes transportation, warehousing, freight forwarding, information, and other industries, and it is very important. This paper examines the technical system of the Internet of Things and the logistics economic management mode, as well as the impact of the Internet of Things on logistics economic management. A multidimensional collaborative management model of environment and economy is proposed, based on the background of IoT. It has laid the groundwork for the IoT’s application and development in the logistics economy.
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Research Article
Implementation of Multidimensional Environmental-Economic
Collaborative Management in IoT Environment
Biao Geng,
1
Guojun Yuan,
1
Daoning Wu,
2
Enquan Shi,
3
and Yang Zhou
1
1
Economical & Management College, West Anhui University, Lu’an 237012, China
2
Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
3
Shangqiu Normal University, School of Information Technology, Shangqiu 476000, China
Correspondence should be addressed to Yang Zhou; 10000100@wxc.edu.cn
Received 7 December 2021; Revised 22 December 2021; Accepted 23 December 2021; Published 25 January 2022
Academic Editor: Tongguang Ni
Copyright ©2022 Biao Geng et al. is is an open access article distributed under the Creative Commons Attribution License,
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
e Internet of ings (IoT) has gotten a lot of attention as a next-generation Internet application, and its realization, which
connects things, people, and things, is the focal point of a new round of high-tech competition around the world. Network
technology has a significant impact on people’s lives today, thanks to the rapid development of the Internet, and the Internet of
ings (IoT) is a technological innovation of the times that promotes the development of information technology. e Internet of
ings has given the logistics industry a new lease on life, allowing it to grow more intelligently. e modern logistics industry is a
modern service industry that includes transportation, warehousing, freight forwarding, information, and other industries, and it is
very important. is paper examines the technical system of the Internet of ings and the logistics economic management mode,
as well as the impact of the Internet of ings on logistics economic management. A multidimensional collaborative management
model of environment and economy is proposed, based on the background of IoT. It has laid the groundwork for the IoT’s
application and development in the logistics economy.
1. Introduction
e world is linked by electronic communication technol-
ogy. It is possible to connect things thousands of miles apart,
which has greatly aided the advancement of human com-
munication [1]. e traditional logistics system has proven
insufficient to meet today’s development needs. e logistics
industry’s previous business model is changing. e state has
previously paid attention to the logistics industry, which is
represented by railway [2]. In recent years, IoT technology
has aided the logistics industry’s informatization, automa-
tion, and integration, as well as its overall development. In
the process of information technology development and
logistics service diversification, modern logistics collabora-
tive management is a new logistics management problem
[3, 4]. New problems in logistics management have emerged
as a result of the Internet of ings. In this case, the logistics
industry should seek out new approaches.
In recent years, China’s Internet technology is constantly
improving. Internet technology has gradually changed to
IoT technology. IoT technology has broken the traditional
Internet virtual environment. e IoT can combine the
network and objects, so that the real and intelligent self-
perception can be connected with objects, so as to achieve
the purpose of global interconnection. As the main appli-
cation of the next-generation Internet, it has received ex-
tensive attention [5]. At present, the development of Internet
technology has gradually transformed logistics into the IoT.
rough the development of IoT technology, the logistics
industry and Internet technology are continuously inte-
grated [6]. e logistics industry needs to adapt to the new
features and seek the best method for the transformation of
the logistics industry in the IoT [7]. In the logistics industry,
the use of modern IoT technology can have a strong impact
on the traditional logistics economic management, rees-
tablish the recognition of logistics enterprises for science,
technology, and information, improve the intelligent
monitoring and management of logistics enterprises, pro-
mote the sharing of information resources among logistics
enterprises, and finally achieve the purpose of win-win.
Hindawi
Scientific Programming
Volume 2022, Article ID 8684581, 9 pages
https://doi.org/10.1155/2022/8684581
e logistics industry will usher in a comprehensive
innovation against a modern backdrop. e use of IoT
technology in the logistics industry can help to improve the
logistics industry’s operational efficiency, improve the
quality of logistics work, and aid in the development of
China’s logistics industry [8]. IoT is a technology that
perceives, analyzes, controls, and manages goods using in-
tegrated technologies such as intelligent sensing systems,
computers, and the Internet. e IoT’s emergence and
development will inevitably bring certain opportunities and
convenience to the development of modern logistics, par-
ticularly in the visualization of logistics transportation, in-
telligent transportation, and logistics information
networking, where the benefits of the IoT are clear [9]. e
current cloud computing expertise can largely stabilize IoT
expertise, which can improve logistics economic manage-
ment work efficiency and reduce the likelihood of problems
at work [10]. is paper introduces the multiagent collab-
oration mode of modern logistics network layer under the
cooperative game and the multidimensional collaboration
classification of modern logistics, starting with IoT-related
knowledge. It was decided to create a multidimensional
environmental-economic collaborative management model.
Information collaboration can significantly improve the
efficiency of the logistics economic system and bring more
economic effects, according to simulation and numerical
experiments.
2. Related Work
Literature [11] expounds management synergy from the
perspective of economic management. Zhou and Yuan [12]
pointed out that the synergy between various social de-
partments is not strong, resulting in the low efficiency of
social management. erefore, in order to improve the ef-
ficiency of social work, a mechanism of social synergy must
be formed. e research on collaboration in [13] is specific to
the management level. Literature [14] holds that collabo-
ration is a simple combination of individual parts, which
forms the overall state and business performance of the
enterprise. Literature [15] regards the whole supply chain as
an evaluation subject and believes that it is more practical
and scientific to establish a group rather than a single
evaluation index. Literature [16] uses economics to analyze
and define synergy: the value of the enterprise as a whole is
greater than the simple sum of individual components, and
the effect of collaboration is far greater than that of indi-
vidual operation, which is the reason for the emergence of
economic scale. Literature [17] believes that collaboration
can maximize the utilization of resources. Resources can be
divided into two types: one is entity resources. Literature
[18] pointed out that, in the face of the rapidly changing
market environment, enterprises need to seize the fleeting
market opportunities and effectively integrate intellectual
resources. It is necessary to form a mechanism—manage-
ment synergy. Literature [19] proposes that management
collaboration is not a natural selection process. In order to
ensure the smooth operation of the enterprise system,
managers understand the development of the enterprise
system and the changes of the environment from multiple
angles. is behavior process aims to explain why enterprise
systems need management collaboration. Literature [20, 21]
believes that a good measurement standard should involve
these key elements of the logistics process: time, distance,
and capital. Literature [22] believes that there are many ways
for enterprises to realize collaborative benefits, such as
business behavior, information sharing, information flow,
and so on. However, it does not mean that these means can
completely solve the problem of synergy. e root cause is
that sharing is limited. Only enterprises with innovation
ability can truly realize synergy. Literature [23] believes that,
with the wide application of Internet technology, collabo-
rative logistics has become a new business model. is model
focuses on the integration and unification of the overall
value, attaches importance to the information sharing and
collaborative operation between upstream and downstream
partners of the supply chain, and forms a good business
operation network environment by establishing efficient
collaborative mechanisms and norms. Literature [24]
pointed out that the information that can be shared is not
only inventory and order information, but also sales in-
formation. Literature [25] analyzes the collaborative oper-
ation of regional logistics clusters. Literature [26] proposes a
negotiation based method to solve the distributed project
scheduling problem. It is pointed out that the information
sharing can be improved by sharing the flexible information
of enterprise dispatchers and improving the concentration
and scheduling quality. Literature [27] proposed three
modes of cooperative operation. According to the different
degree and relationship of node members, it can be divided
into point chain collaboration, line chain collaboration, and
full chain collaboration. Literature [28] pointed out that
qualitative analysis is the focus of current research, and there
is a lack of discussion on quantitative research such as
system collaboration level, system collaboration mode, and
collaborative system construction. is paper studies the
significance of multidimensional coordination of modern
economy under the IoT system. Whether it is theoretical
analysis or practice and application, a complete set of sci-
entific theories and management methods are essential to
guide the successful application of the IoT in the economic
field. In this paper, based on the IoT environment, a mul-
tidimensional environmental-economic collaborative man-
agement model is established to solve the problem of
economic management collaboration. rough simulation
and numerical experiments, it is proved that information
collaboration can significantly improve the efficiency of
logistics economic system. e effectiveness of the algorithm
is verified by numerical experiments. e results show that
the algorithm can bring more economic effects.
3. Methodology
3.1. IoT. In recent years, China has developed IoT profes-
sional technology, which is an interconnection technology
based on computer professional network technology. e
Internet of ings (IoT) is a brand-new type of information
and communication technology. It is an important
2Scientific Programming
component of the new generation of information technology
as well as a critical stage in the “information” era’s devel-
opment. With the advancement of communication tech-
nology, the Internet of ings (IoT) has become an
important guarantee for the growth of the logistics industry
[18]. Because people can surf the Internet at high speeds on
their mobile devices, the IoT technology development
platform has a lot of room for growth. With China in-
creasingly focusing on the development of the IoT industry,
the IoT industry has emerged as China’s primary technology.
China’s IoT industry grew and matured earlier, and it has
now essentially formed a perfect IoT industry system. And
the market’s development of some fields has begun to take
shape.
As the application of the next-generation Internet, the
IoT has received extensive attention, and the realization of
the IoT, which interconnects things, people, and things, is
the commanding point of a new round of high-tech
competition around the world. e technical system of IoT
includes three levels: perception layer, network layer, and
application layer. e sensing layer is mainly used to
identify items through sensing devices, collect information
data, and transmit data to gateway devices through
transmission devices. e network layer will process the
received information data to ensure the security and re-
liability of the data [29]. In the application layer, infor-
mation is mainly shared across regions, information is
analyzed, and intelligent management services under the
IoT technology are realized.
e IoT is an information bearing system based on the
development of Internet technology, computer technol-
ogy, and network communication technology. e system
can make the modules with independent functions
communicate with each other. IoT technology mainly
realizes the connection between objects through infrared
positioning technology and Global Positioning System
(GPS) technology and uses Internet protocol to combine
the Internet with actual objects, so as to realize infor-
mation sharing. In recent years, China’s communication
technology is also constantly improving, because today’s
mobile devices can use the high-speed network to access
the Internet, so a lot of mobile device users have been
increased, which directly shows that the opportunity of
the IoT is coming.
3.2. Application of IoT Technology in Economic Management
Industry. Perception technology, network communication
technology, identification technology, system framework
technology, security and confidentiality technology, and so
on are all part of the IoT, which together form a massive
technical system. e Internet of ings (IoT) is a new era
information technology term that denotes the start of a
brand-new information era. e Internet of ings (IoT)
technology realizes the connection between things, and its
core technology is the Internet, which it extends and ex-
pands in a sense, with the goal of expanding information
exchange to include the exchange of things. In the logistics
industry, the Internet of ings is primarily used in the
technology of automatic bar code acquisition. e visual
intelligent system can help different departments coordinate
and unify, rationally allocate logistics processes, and im-
prove the timeliness of logistics management, as well as
improving the operational fluency and efficiency of trans-
portation management, warehouse management, and cus-
tomer information service management. Under the IoT,
logistics economic management should create resource
codes within logistics units so that logistics resources can be
managed in a unified manner, and the authenticity and
accuracy of resources must be ensured during the resource
collection process. e Internet of ings can be used to
create a visual logistics intelligent management system. To
ensure that the circulation of articles is transparent and safe.
Figure 1 depicts the visual intelligent management
framework.
In the traditional logistics management, due to the in-
fluence of road, geographical location, and other reasons, the
information collection ability of goods is limited, and it is
difficult to realize all-round tracking of logistics information.
However, the Electronic Prism Collimator (EPC) tag of the
IoT has solved this problem. In the aspect of logistics
economic management mode, with the rapid development
of high technology, quota management mode has emerged,
which has advanced management concepts and policies and
is widely used in the logistics industry. e management
system of quota management mode can promote the rapid
development of logistics economy. Besides the quota for
product delivery and storage, the comprehensive manage-
ment of products also needs quota, so as to further clarify the
consumption produced by products reaching customers and
make the quota management mode of logistics enterprises
exert the greatest benefits, thus bringing more economic
effects.
Using supply chain management mode, logistics man-
agement can reduce transportation pressure and operation
costs. e rest can be outsourced to other companies as long
as businesses carefully build their own core industries. It can
improve not only execution efficiency, but also customer
satisfaction, achieve zero storage, and promote the maxi-
mization of logistics enterprise benefits in this way. e
development of logistics enterprises will be more efficient
and long-lasting if comprehensive logistics management
capabilities are integrated.
e Internet of ings (IoT) has the potential to improve
economic visualization. e most important point to re-
member during the practical application is to strengthen the
integration between IoT technology and logistics economic
management, so that the logistics economic management
can be completed with greater quality. Electronic identifi-
cation and analysis of goods can be accomplished using EPC
electronic tag technology in logistics, which improves not
only the efficiency of screening and distribution of goods,
but also the accuracy and speed of distribution. At the same
time, the Internet of ings plays an important role in lo-
gistics economic management statistics and calculations. It
can quickly grasp data and calculate results based on the
data, allowing for logistics economic management
visualization.
Scientific Programming 3
3.3. Economic Management of Multidimensional Collabora-
tive Logistics under the Background of IoT. In the logistics
industry, logistics economic management is one of the
important works. e main responsibility is to plan, orga-
nize, command, coordinate, control, supervise, and en-
courage the whole process and systematic economic
activities of logistics according to the basic economic laws
and commodity circulation laws. With the support of IoT
technology, the distribution speed of goods and goods in-
formation are more rapid and transparent. Goods do not
need to stay in logistics companies for a long time, and the
flow speed is accelerated. In the context of the IoT, combined
with the basic characteristics of rapid logistics, bar code
technology is set. When goods are converted or detained, as
long as the bar code is scanned, the current transportation
status of logistics can be displayed on the network platform
through automatic identification. e multidimensional
management of contemporary logistics economy has four
characteristics. (1) Multidimensional. It includes technology
collaboration, information collaboration, service collabo-
ration, management collaboration, etc. (2) Coexistence.
Each dimension promotes the others and does not hinder
other dimensions. (3) Cooperation. It includes the com-
petition and cooperation of different departments within the
enterprise, different enterprises among industries, upstream
and downstream supply chains of enterprises, etc. (4) In-
formation sharing. e modern logistics industry is based on
information network technology, which has realized a high
degree of information sharing and real-time interaction and
reduced departmental communication problems caused by
information isolation. e multidimensional collaborative
classification of logistics is shown in Figure 2.
Modern logistics is facing the necessity of multidi-
mensional collaborative management. Based on the four-tier
architecture of the IoT, aiming at the multidimensional
collaborative management problems faced by logistics en-
terprises, this paper defines multidimensional collaborative
classification from four dimensions, analyzes the phenom-
ena of logistics enterprises in four-dimensional collaborative
classification, and establishes the order parameter equation
of logistics system. Suppose the system’s cooperative effi-
ciency is y, the nonhuman factor is x, and xis a function of
time t. In the initial state of the system, the synergy efficiency
is y0, and in the lowest synergy efficiency state xd, the
synergy efficiency is yd, and the balance synergy efficiency
yi; then:
ysin xxi
 􏼁
x+yi, x >0.(1)
Suppose the system’s synergy efficiency is S, the non-
human factor is c, and Sis a function of c, so the formula (1)
becomes
S(c) � sin cci
 􏼁
c+Si,c>0.(2)
So Sis the simultaneous function of ω,δ,ε,cand η,ω,δ,
ε,cand ηare also functions of time t, so
zS
zt
βω(t) + S01,0<ω<ω0,
1n[δ(t) + 1] + S02,0<δ<δ0,
arctan ε(t) − εd
􏼂 􏼃+Sd,0<ε<ε0,
sin c(t) − ci
􏼂 􏼃
c(t)+Sic>0,
bη2(t) + 􏽘Sn,η>0.
(3)
e macrochange of a complex logistics system is de-
termined by the “synergy” between subsystems, not by the
forced action of an external force. Whether it is technology
collaboration, service collaboration, or management col-
laboration, it all starts with information collaboration and
has an impact on information collaboration efficiency. e
state formed by more than two collaborative requirements
that are not of the same type is referred to as multidi-
mensional. Modern logistics is confronted with a wide range
of collaborative requirements. Storage space is not only an
important index in the logistics industry, but also an im-
portant part of logistics economic management. Storage
space is primarily used in the logistics link to store goods in
the middle of logistics in order to ensure the integrity of
goods and improve logistics efficiency during transportation
or transshipment. IoT technology can help logistics com-
panies improve their inventory management capabilities by
allowing them to control warehouse storage information in
real time, allowing them to check leaks and make up defi-
ciencies in real time, and replenishing goods with insuffi-
cient storage in real time. e use of IoT technology
condenses complex tasks while maintaining a high level of
accuracy.
e mobile logistics service requesters and mobile lo-
gistics service responders are classified. According to the
characteristics of logistics distribution, the nodes are divided
into two categories. One is the mobile logistics service re-
quester, represented by C
i
; one is the mobile logistics service
responder, represented by D
j
. e trajectory information of
the mobile node Cin the practice period is expressed as
GPS GIS
Bar code
technology
RFID sensor
Server visual
system
Logistics
information
Management
site
Production
field
Figure 1: Visual intelligent management framework.
4Scientific Programming
Gk
i1Li, Si, Ei,α
􏼈 􏼉, where Lis the location information of
the sensing area, Sand Eare the time when the node arrives
and leaves the area, and αis the time threshold, which is used
to control the time interval for different nodes to reach the
target area. e distance factor between nodes Cand Dis
expressed as
L(C, D) � 􏽐k
i1sim Gi(C), Gi(D)
 􏼁
T,(4)
where Tis the time period; sim(Gi(C), Gi(D)) is the position
similarity function of mobile nodes Cand D, which reflects
the duration of different mobile nodes at position i,
expressed as
sim Gi(C), Gi(D)
􏼁 max Si(C), Si(D)
􏼈 􏼉min Ei(C), Ei(D)
􏼈 􏼉,
s.tLi(C) � Li(D)
Si(C) − Si(D)
􏼌􏼌􏼌􏼌􏼌􏼌􏼌􏼌α.
(5)
ere is a lot of information related to logistics, and there
are extremely high requirements for accuracy and timeli-
ness. In terms of logistics, information mainly includes
inventory information, supply information, order infor-
mation, purchasing information, etc. Controlling informa-
tion is the most important thing in the logistics industry.
Users can know the transportation time, destination, and so
on of goods through the mobile phone terminal. is
convenient technology can benefit both buyers and sellers.
Automatic scanning technology can reduce the loss of goods,
improve customer satisfaction, and make logistics and
transportation transparent.
TSPiis used to represent the distribution problem of the
ith time slice, and Nis the number of cities. ci,j(t)is the
weight between city iand city jin time t,δt is the sampling
period, Δci,j is the change of weight between cities in the
sampling period, Tis the time period, and nis the sampling
times in a period.
e distribution simulation problem based on collabo-
rative information can be expressed as
TSP(t) �
TSP1,0tΔt,
TSP2,Δtt2Δt,
. . .
TSPn(n1),ΔttnΔt,
(6)
o·min d(T) � 􏽘
n
k1􏽘
N
i1􏽘
N
j1
ci,j(k·Δt),(7)
s.tΔtT
n,
Δci,j
Δt0.
(8)
Equation (6) indicates that the information-based col-
laborative delivery problem is a combination of different
TSPs in different sampling periods. Among them, each TSPi
can be the same or different. When each TSPiis the same, it
becomes a traditional TSP; in the research of this article, they
are different. Equation (7) indicates that the goal of com-
pleting the delivery is the sum of the target values of each
TSP within the time period T; that is, it pursues overall goal
optimization instead of local optimization. Equation (8) is
the definition of the sampling period. Equation (8) indicates
that the parameters in the sampling period remain
unchanged.
People’s production and lives will become more dy-
namic and refined in the IoT environment, and the way
businesses operate will change dramatically. e Internet
of ings (IoT) should be studied not only for its ap-
plication of value-added, but also for the real difficulties
and challenges faced by multidimensional collaborative
logistics management in the IoT environment. Efforts
should be made to incorporate IoT technology into all
aspects of logistics management, as well as conduct
Information
collaboration
Polocy
advice
Business
model
Management
collaboration
Technical
synergy
Technical
breakthrough
Standard
system
service
collaboration
Quick response
service
Personalized
service
Perceived
service
Multi-dimensional
coordination of
modern logistics
Wireless
communication
Wired
communication
Sensor network
collaboration
mode
Figure 2: Logistics multidimensional collaborative classification.
Scientific Programming 5
targeted research to increase the value of its application in
the field of logistics and provide greater benefits to lo-
gistics businesses.
4. Results Analysis and Discussion
e composition of IoT technology and logistics industry is
relatively complex. By applying the IoT technology to lo-
gistics economic management, we can build an information-
based network logistics public information platform. On this
platform, customers can inquire about their own goods
information at any time, so as to get the latest logistics
information. Collaborative analysis is carried out from four
levels: perception layer, network layer, application layer, and
management layer, and the basic law of collaboration is
summarized from the phenomenon of system self-organi-
zation and unbalanced phase change. Using quantitative
analysis method, the multidimensional collaborative order
parameter equation of modern logistics system is
constructed.
e Internet of ings has the potential to greatly reduce
the phenomenon of asymmetric economic information. It
provides a profitable space for commercial banks because of
the asymmetric information of small businesses in financing.
e Internet of ings accurately and objectively reflects
enterprise information, the market economy determines
price, the transaction process is intuitive and transparent,
and credit and risk assessment data are all open. e
asymmetry of small businesses in the financial transaction
process can be greatly reduced by analyzing network data.
e most trusted technology in the application of IoT
technology in logistics economic management is Internet
information technology. Information transmission between
various devices in the IoT system frequently requires the use
of the Internet, which not only improves the rate of data
transmission but also improves the efficiency of data pro-
cessing. Perception technology is the foundation of the
Internet of ings, allowing information management
systems to “perceive” objects. Figure 3 depicts the market
size and market segments of the IoT industry in China’s
modern logistics field from 2016 to 2020.
Because the application of perception technology has
fueled its development, the demand for perception tech-
nology synergy has grown even stronger. e Internet of
ings (IoT) is a technology that perceives, analyzes, con-
trols, and manages objects using a variety of technologies
such as intelligent perception systems, computers, and the
Internet. e third information technology revolution is
referred to as such. Under normal circumstances, logistics
companies deal with a large volume of transactions and
cargo transportation every day, so data calculation is a
challenge for them. Traditional manual statistics and cal-
culations are prone to errors when faced with such a large
workload, and manual calculation is slow, making it difficult
to grasp all data quickly. During this time, the IoT system can
intelligently analyze goods, such as detailed classification of
goods and specific sending areas, to ensure that goods in the
same destination are managed and distributed uniformly,
ensuring the efficiency of logistics work and the completion
of logistics transportation and distribution in the shortest
time possible. e real-time traffic information of this
simulation system uses the congestion coefficient that obeys
the time distribution as the input and divides the urban road
traffic into two levels based on the frequency of road use, in
order to simulate the real-time traffic information closer to
the real situation.
Important path traffic: Urban arterial roads have a large
traffic volume, and the road conditions are often in a sat-
urated state. e traffic conditions of important paths are
shown in Figure 4.
General route traffic: urban secondary roads and some
branch roads. e travel time and frequency of people who
use roads are regular, with obvious peaks and valleys in the
morning and evening. e general route traffic conditions
are shown in Figure 5.
e data in the IoT environment has a wide range of
sources, a complex structure, and a large amount of data, and
the data will be updated irregularly, so the data in the IoT
environment has certain uncertainty. e IoT has certain
advantages in mastering data and calculation results. To a
certain extent, computers can replace people’s work, which
can quickly identify and merge logistics circulation char-
acteristics, thus giving birth to barcode technology. “One
thing, one standard” greatly facilitates the turnover and
circulation of goods. Under the IoT environment, the ap-
plication of IoT technology is conducive to the development
of logistics economic management in the direction of in-
telligence. ere are many independent logistics companies
in China, but the information between them can be shared.
Because the logistics information is updated very fast and the
interaction is complicated, it is necessary to master the
rapidly changing information with the IoT technology and
increase the communication with other logistics companies.
Because the traditional simulation method takes the
distance as the optimization goal and does not consider the
road information, it cannot respond to the real-time road
information in real time, and its path distance length has not
changed significantly. However, when the main roads are
congested, the simulation of information collaboration will
choose other road sections with a little distance but good
road conditions. erefore, the whole distance will obviously
increase during the peak period of traffic congestion. e
analysis and comparison between the starting time and the
whole distance is shown in Figure 6.
In the IoT environment, logistics development should
provide timely feedback on information updates based on
changes in various IoT data information, collect changes in
information, adapt logistics development to market changes,
know the market in real time, grasp the characteristics of big
data changes in the IoT environment, and integrate infor-
mation in real time, so that IoT data information can be
integrated. To score the delivery service, receiving service,
and online shopping satisfaction of logistics enterprises,
choose 30 valid scoring data. e results are shown in
Figures 7 and 8.
e continuous development of IoT economy will im-
pact the traditional economic model, which will make ad-
justments in business composition, service object, service
6Scientific Programming
attitude, and operation mode. Under the current back-
ground of the IoT, the logistics economic management has
been innovated. Applying the IoT technology to the logistics
economic management can effectively improve the quality
and efficiency of the work, optimize the service functions of
logistics enterprises in all directions, and enable customers
to enjoy better logistics services.
0
2016 2017 2018 2019 2020
100
200
300
400
500
600
700
800
900
Industrial scale
Time
RFID industry
GPS industry
IoT industry
Figure 3: Market scale and growth of various industries in the field of intelligent logistics.
0100 200 300 400 500
1
2
3
4
5
6
Congestion index
Time index
Figure 4: Traffic map of important paths.
0 100 200 300 400 500 600
1
2
3
4
5
Congestion index
Time index
Figure 5: General route traffic map.
Figure 6: Comparison chart of starting time and full distance
analysis.
Scientific Programming 7
By solving the equation with the algorithm, it is con-
cluded that the information collaboration is the order pa-
rameter of the logistics system, which realizes the accurate
use of the order parameter to control the fluctuation and
balance of the logistics system and build a modern logistics
collaborative service platform framework based on service-
oriented architecture and solve the problem of service
collaborative management through system platform and
quality evaluation and improve the efficiency of logistics
economic management.
5. Conclusions
e influence of the background of the IoT era on economic
industry is revolutionary, and the IoTeconomy is the result of
the full integration of computer network communication
technology and economic industry. e application of the IoT
has improved the running rhythm of modern logistics in-
dustry and has also made a revolutionary impact on the
multidimensional collaborative management of modern lo-
gistics industry. From the current social logistics management
process, it has almost subverted the operation mode of lo-
gistics. It has promoted the change of economic management
concept, operation mode, and profit model and promoted the
change of China’s economic structure. It has formed inno-
vative forms of financial circulation, such as payment,
transaction, and financing, and provided convenience for
financial business of all walks of life. Under the background of
the Internet age, multidimensional collaborative management
of environment and economy is necessary. e development
of logistics industry plays a very important role in the
transportation of logistics industry and promoting the growth
of national economy. Although there are some problems in
the IoT economic industry at present, with the supervision
and guidance of the state in laws, regulations, and policies, the
IoT economic industry will embark on a healthy, sustained,
and stable road and become an important part of the driving
force of China’s economic development. In this paper, based
on the IoT environment, the multidimensional collaborative
order parameter equation of modern logistics system is
constructed, and the simulation and numerical experiments
verify that the model can significantly improve the efficiency
of logistics system. is paper analyzes the influence of the
IoT on the logistics economy, its application, and the
problems to be solved at this stage, in order to help promote
the development of the logistics industry.
Data Availability
e data used to support the findings of this study are in-
cluded within the article.
Conflicts of Interest
All the authors declare no conflicts of interest.
Acknowledgments
is study was supported by Key Project of Humanities and
Social Sciences, Education Department of Anhui Province,
“Research on Audit Risk Behavior Control of Certified
Public Accountants” (SK2015A559).
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