Intelligent and Real-Time Information System of Production Manufacturing Based on Internet of Things Technology

2014 ◽  
Vol 651-653 ◽  
pp. 1594-1598
Author(s):  
Yan Hong Ma ◽  
Yao Xie ◽  
Lian Gang Liu
Keyword(s):  
Production Line ◽  
Management System ◽  
Large Scale ◽  
Market Competition ◽  
Information Management System ◽  
Intelligent Manufacturing ◽  
Labor Costs ◽  
Manufacturing Enterprises ◽  
Manufacturing Mode ◽  
Internet Of Things Technology

China is a big manufacturing country, and the number of manufacturing enterprises with a certain scale is large. With the increasingly fierce market competition, manufacturing enterprises need to adopt new management methods, improve the market competitiveness of enterprises, and reduce the production cost. This requirement has large scale of market, and it has good economic and society profits. In this paper, the design for intelligent manufacturing information management system is proposed, and it can make the production process be digital and information. The process accuracy is improved, labor costs are reduced, and management efficiency is improved. It can promote the upgrade of production lines effectively, and it can reduce the production line improvement cost. This system not only helps to establish digital production line, but also makes the production manufacturing mode be reformed. It can promote management system, standard, method, and way of production manufacturing to be changed.

scholarly journals Evolutionary game of green manufacturing mode of enterprises under the influence of government reward and punishment

2020 ◽  
Vol 15 (4) ◽  
pp. 416-430
Author(s):  
A.L. Awaga ◽  
W. Xu ◽  
L. Liu ◽  
Y. Zhang
Keyword(s):  
Market Competition ◽  
Evolutionary Game ◽  
Green Product ◽  
Production Mode ◽  
Manufacturing Enterprises ◽  
Green Production ◽  
Regulation Strategies ◽  
The Government ◽  
Manufacturing Mode ◽  
Reward And Punishment

Green production mode is an advanced manufacturing mode. However, due to the environmental externality of green production, it is different for a pure market mechanism to promote the evolution of green operation mode of manufacturing enterprises. Government regulation is very important. This paper establishes an evolutionary game model of whether manufacturing enterprises choose to implement green production mode when the government implements two different mechanisms of reward and punishment. Considering the complexity of strategy selection of enterprises' green production behaviour under market competition, the method constructs the simulation analysis model of enterprises' green product production behaviour with multi-subject participation. We can simulate the influence of these factors on the strategic choice of both parties (enterprises and governments) by changing the different influence factors, and studying the evolutionary law of different government guidance and regulation strategies on the production behaviour of green products. These factors include government incentives, penalties, reputations, costs, differences in the cost of implementing green production on the corporate side, corporate reputation, and false rewards or penalties. By the computer implementation of multi-subject modelling, the results show that enterprises' green product production behaviour needs the government's guidance and regulation. When formulating relevant policies, the government should combine various guidance and regulation strategies and fully consider the influence of market competition.

scholarly journals Efficient Authentication for Internet of Things Devices in Information Management Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Xiaofeng Wu ◽  
Fangyuan Ren ◽  
Yiming Li ◽  
Zhenwei Chen ◽  
Xiaoling Tao
Keyword(s):  
Internet Of Things ◽  
Information Management ◽  
Management System ◽  
Large Scale ◽  
Rapid Development ◽  
Mutual Authentication ◽  
Information Management System ◽  
Management Systems ◽  
User Privacy ◽  
Information Management Systems

With the rapid development of the Internet of Things (IoT) technology, it has been widely used in various fields. IoT device as an information collection unit can be built into an information management system with an information processing and storage unit composed of multiple servers. However, a large amount of sensitive data contained in IoT devices is transmitted in the system under the actual wireless network environment will cause a series of security issues and will become inefficient in the scenario where a large number of devices are concurrently accessed. If each device is individually authenticated, the authentication overhead is huge, and the network burden is excessive. Aiming at these problems, we propose a protocol that is efficient authentication for Internet of Things devices in information management systems. In the proposed scheme, aggregated certificateless signcryption is used to complete mutual authentication and encrypted transmission of data, and a cloud server is introduced to ensure service continuity and stability. This scheme is suitable for scenarios where large-scale IoT terminal devices are simultaneously connected to the information management system. It not only reduces the authentication overhead but also ensures the user privacy and data integrity. Through the experimental results and security analysis, it is indicated that the proposed scheme is suitable for information management systems.

scholarly journals Optimization of Sports Good Recycling Management System Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Panhong Ren ◽  
Mengjian Nie ◽  
Hui Ming
Keyword(s):  
Internet Of Things ◽  
Information Management ◽  
Management System ◽  
System Optimization ◽  
Information Management System ◽  
The Internet ◽  
Return Flow ◽  
Sports Information ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Based on the technology of Internet of Things, this paper proposes a sports good recycling management system and realizes the system optimization. Based on the management of returned good flow based on the Internet of Things, we can comprehensively apply system integration technology, system architecture, cloud computing technology, etc., based on the current situation of surrounding return flow management, combined with the reality of the sports product recycling business process. From two aspects of process information and operation information, based on the information system of each link of the Internet of Things recycling, a recycling logistics information management system platform is constructed. This can solve the problem of the integrated management of the recycling logistics process and the operation control of the recycling logistics management system. In the stage of sports information management, combined with the Internet of Things technology, we should do a good job of sports artificial intelligence management and information knowledge exploration. In the development of sports under the framework of the Internet of Things, we should combine the needs of sports information management and the technology mode of the Internet of Things, so as to realize the scientific and standardized management of sports good recycling under the Internet of Things technology.

Research on Evaluation of Intelligent Manufacturing Capability and Layout Superiority of Supply Chain by Big Data Analysis

2022 ◽  
Vol 30 (7) ◽  
pp. 0-0
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Manufacturing Industry ◽  
Cost Model ◽  
Intelligent Manufacturing ◽  
Research On Evaluation ◽  
Manufacturing Capability ◽  
Enterprise Collaboration ◽  
Manufacturing Mode ◽  
Internet Of Things Technology

With the rise of cloud computing, big data and Internet of Things technology, intelligent manufacturing is leading the transformation of manufacturing mode and industrial upgrading of manufacturing industry, becoming the commanding point of a new round of global manufacturing competition. Based on the literature review of intelligent manufacturing and intelligent supply chain, a total factor production cost model for intelligent manufacturing and its formal expression are proposed. Based on the analysis of the model, 12 first-level indicators and 29 second-level indicators of production line, workshop/factory, enterprise and enterprise collaboration are proposed to evaluate the intelligent manufacturing capability of supply chain. This article also further studies the layout superiority and spatial agglomeration characteristics of intelligent manufacturing supply chain, providing useful reference and support for enterprises and policy makers in the decision-making.

Study on the Design of Project Controlling Information Management System for Large-Scale Hydraulic Engineering

2013 ◽  
Vol 671-674 ◽  
pp. 3130-3133
Author(s):  
Qing Yan Shuai ◽  
Ya Bo He
Keyword(s):  
Information Management ◽  
Information Exchange ◽  
Management System ◽  
Large Scale ◽  
Information Management System ◽  
Hydraulic Engineering ◽  
Account Management ◽  
Project Controlling ◽  
Input Module ◽  
Output Module

Project controlling information management system (PCIMS) is an important management facility and means for the construction of large-scale hydraulic engineering. Based on the analysis of construction management features for large-scale hydraulic engineering, the general design goal of PCIMS is put forward. The structure of PCIMS for large-scale hydraulic engineering is concretely designed and analyzed, which is consisted of five parts, including the account management module, database, input module, data processing module and output module. The key technologies in the process of developing PCIMS are also discussed，such as the technology of data warehouse, the real-time technology of the system and the comprehensive integration technology of various components. Due to the establishment of PCIMS for large-scale hydraulic engineering, a convenient information interaction platform is provided for all the project participants. As a result, the accuracy and timeliness of the information exchange is improved, that is benefit for the owners to make correct decision.

scholarly journals Key Technologies of a Large-Scale Urban Geological Information Management System Based on a Browser/Server Structure

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 135582-135594 ◽  
Author(s):  
Cuiying Zhou ◽  
Zichun Du ◽  
Li Gao ◽  
Weihua Ming ◽  
Jinwu Ouyang ◽  
...  
Keyword(s):  
Information Management ◽  
Management System ◽  
Large Scale ◽  
Information Management System ◽  
Key Technologies ◽  
Geological Information
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