scholarly journals MANAGEMENT OF TECHNOLOGICAL INNOVATIONS OF LOGISTICS ENTERPRISES BASED ON THE USE OF THE INTERNET OF THINGS

2020 ◽  
Author(s):  
Leonid Taraniuk ◽  
◽  
Qiu Hongzhou ◽  
Nataliia Hlyboka ◽  
◽  
...  

The development of logistics enterprises is an important symbol to measure the level of development of science and technology and comprehensive strength of a country, and the level of logistics and logistics intelligence, information level to reflect the value. Internet of Things technology provides a enough platform for logistics industry to realize the combination of traditional logistics technology and intelligent system operation management, so as to enable enterprises to realize logistics automation, information and intelligent operation faster and better. This paper describes the important role and innovative application of management of Internet of Things technology in the development of logistics enterprises, analyzes the advantages and disadvantages of RFID technology and its important role in inventory management optimization. With the rapid development of logistics enterprises, how to efficiently use the emerging Internet of Things technology and apply it to all aspects of logistics operation requires logistics enterprises to carry out technological innovation management on the basis of the original technology and equipment, seize the opportunity of national policies and put forward the innovation management mode suitable for enterprise development.

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Zhaoyang Wu ◽  
Shiyong Wang ◽  
Hong Yang ◽  
Xiaokui Zhao

In recent years, with the rapid development of the global economy and the development trend of more and more stable, well-developed network communications, online shopping has become an increasingly common way; as a result, the logistics industry has emerged from many industries and has become one of the most popular industries. However, due to the extensive involvement of the logistics industry, the overly complex technology, and the huge amount of data and information, the security of logistics has become one of the hot topics of special concern. Based on the background of an intelligent environment, this paper constructs a supply chain financial logistics supervision system based on Internet of Things technology. This article refers to the research experience of previous scholars, briefly introduces the theoretical knowledge of the Internet of Things technology, smart environment, and supply chain finance, and makes a certain analysis of the logistics supervision system. We collect and calculate logistics data through the wolf group hunting and siege formula in the wolf group algorithm and analyze the application performance of the logistics supervision system in reality. Then, we briefly designed the system architecture diagram of the logistics supervision system and compared the freight situation of the logistics supervision system before and after and statistics on the deployment of the logistics supervision system in customs, docks, airports, stations, and other places from 2015 to 2019. Finally, a comparative analysis of the performance of wolf pack algorithm and other algorithms was performed under different path planning. The final result shows that the logistics supervision system has important practical value in the logistics industry; in addition, the deployment of logistics supervision systems in customs, terminals, and other places has increased year by year from 2015 to 2019.


2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jie Du

As the economy grows rapidly and IoT technology advances rapidly, the logistics industry as a service industry is growing rapidly around the world. The logistics industry, meanwhile, is the one that can best play the role of IoT. The rapid development of the logistics industry has brought great competition challenges to the logistics industry. To solve the competitive problems of the logistics industry cluster, this article introduces the research on the upgrade path and strategy of the logistics industry cluster based on the Internet of Things and uses the analytic hierarchy process, investigation method, and expert evaluation method to build the IoT technology information model and logistics cost. According to the established optimization model, the following are proposed: analyzing the problems existing in the logistics industry cluster, giving an upgrade path from the four aspects of manufacturing, technology, structure, and service, and giving specific strategic suggestions from the aspects of talents and enterprises. The accuracy rate of current analysis is as high as 90%, and the implementation rate of upgrade paths and strategy recommendations is as high as 95%.


2010 ◽  
Vol 102-104 ◽  
pp. 870-874
Author(s):  
Jun Qiang Wang ◽  
Cui Lin Zhang ◽  
Song Fei Zhang ◽  
Jian Chen

Focused on medium and small sized logistics enterprise (MSLE) in China, the characteristics are analyzed and existing issues are addressed based on the comprehensive investigation results of current levels of informatization of MSLEs covering investment, infrastructure, awareness, strategy, integration, standardization and qualified talent. Taking full consideration of China’s national situation, the development opportunities of MSLE’s informatization are discussed in terms of the powerful national informatization strategy, the key support on logistics industry, the pressing demand on logistic service generated by manufacturing industry, the intense competition among logistics software suppliers, the rapid development of public logistics information platform and advanced logistics technology development. Furthermore, the corresponding countermeasures at the aspects of enhancing soft power, utilizing external consulting services, popularizing compact and efficient information platform, keeping fast and smooth informatization construction policy, and strengthening project management and associated regulations are presented to help promote the informatization progress of MSLE in China.


2014 ◽  
Vol 608-609 ◽  
pp. 1066-1070
Author(s):  
Xiao Feng Hu

This article has conducted the research and analysis to the monitoring and management platform technology for existing building energy consumption equipment, and combined with the key technologies of the Internet of things technology-designed a set of intelligent system for building energy consumption monitoring and management based on wireless sensor network middle-ware. The system achieve the building energy consumption monitoring and rational utilization based on building energy service equipment (such as in lighting equipment, air conditioning equipment etc.) monitoring and management. Energy consumption of the equipment meet the scene of the user for the comfortable environment by change the state of environment , and the user can monitor the running status of all the equipment and environment variable information in the process, and to control energy consumption equipment.


2021 ◽  
pp. 1-11
Author(s):  
Xin Xie

With the emergence of the Internet of Things technology and the rapid development of computer technology and network communication technology, a profound technological change is taking place in the education model. Based on the current problems in the teaching of computer network courses and the improvement needs of the innovative computer training platform of the Internet of Multiple Intelligences, this article summarizes the ideas for improving the innovative computer training platform of the Internet of Multiple Intelligences of the computer network, and explores the mobile learning environment of computer network courses. Based on the multi-level feedback teaching mode, each type of experiment in the innovative computer training system is divided into theoretical tests, basic experiments, improved experiments and inquiry experiments. After each level is completed, the problem will be fed back to the teacher through the system, the results and suggestions will be fed back to the students, and the students will increase their interest in learning, improve the performance of innovative computer training, cultivate the students’ ability to explore and innovate, and help teachers to grasp the students’ innovation in computer training. This article demonstrates the teaching effect of the system through quasi-experimental research methods and interview methods. According to the results of quasi-experimental research and interviews, it is found that this system can improve the teaching effect of teachers, stimulate students’ interest in learning and improve academic performance. The construction and application research of this system will provide support for the construction and practical teaching of an innovative computer training system for the multi-dimensional Internet of Things.


2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Ying Sun ◽  
Lei Bai

Rapid development of Internet of Things technology makes the Internet interact and communicate with objects in the real world. The diversity of Internet of Things’ system architectures and the diversity of networks determine the complexity of their security issues. A key step in building an Internet of Things’ security system is to build a model and evaluate threats of security. First, this paper studies the distribution of key security about mobile ad hoc networks and analyzed the characteristics of the scene. To promote the certification of the key exchange strategy of both sides, it supports key exchange between the core node and multiple nodes for existing problems that management scheme of random key preallocation is limited by the storage space of the node through combination of key matrix elements which has less information to generate a large number of keys, and each sensor node only needs to store related parameters and key matrix. It saves the memory space of node greatly. The results of simulation show that the program has a strong security; it can fight against the common attacks of wireless sensor networks, such as node forgery attacks, message replay attacks, and denial of service attacks. At the same time, it is superior to traditional solutions in terms of network connectivity and nondestructibility, which can apply clustered wireless sensor network massively.


2014 ◽  
Vol 496-500 ◽  
pp. 1690-1693 ◽  
Author(s):  
Guang Yu Yao ◽  
Lu Song

Low carbon green living environment in our life play a very important role. With the rapid development of Internet technology and the increasingly mature, the traditional lighting system is developing rapidly towards intelligent lighting control based on Internet of things, especially in public places, the electricity control, such as libraries, museums, etc. In this paper, based on the Internet of things technology combined with humanized design a set of intelligent management library intelligent lighting energy saving control system. The wireless sensor network to collect environmental information is combined with artificial management information, the main control system can carry on the dynamic control of library's energy consumption, and realize the system energy saving purpose. After experimental verification, the energy-saving control system designed in this paper can according to the changes in the environment of intelligent stability control in the reading room lights brightness. The structure is simple and has achieved the purpose of energy saving.


2015 ◽  
Vol 713-715 ◽  
pp. 2423-2426
Author(s):  
Yong Lin Leng ◽  
Qing Chen Zhang ◽  
Yue Wang

With the rapid development of the Internet of Things technology, IOT terminal equipments collect a large amount of data. So the preprocessing and storage become a big challenge. In this paper we presents a universal preprocessing and storage architecture for IOT data in cloud environment. In the data preprocessing module, with the sensor equipments are not stable, a large number of mistake, missing data will be produced, so we propose a imputation algorithm based on clustering to perform data preprocessing. For the data storage module, because of the existence of a large number of unstructured and semi-structured data, we present a storage architecture for heterogeneous data in cloud environment. Experiments show that our architecture can effectively complete the data preprocessing and storage, for the subsequent work, such as query data provides good support.


2014 ◽  
Vol 513-517 ◽  
pp. 1911-1914
Author(s):  
Bi Geng Zheng ◽  
Heng Wang

This paper studies on the solution of the Internet of things technology in the application of circulation of agricultural products, designed the model of Internet of Things in circulation of agricultural products field, and constructed the circulation of agricultural products on the Internet of Things, to achieve real-time location of agricultural products, safety traceability of agricultural products and inventory management. By research on using key technologies of Internet of Things, can improve the efficiency of the agricultural products logistics; reduce the cost of agricultural products circulation effectively. And it also can provide agricultural products information services more efficient, convenient and accurate for agricultural products, vendors and general users.


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