Construction of Intelligent Management Platform for Scientific Research Instruments and Equipment Based on the Internet of Things

Author(s):  
Dong An ◽  
Zhengping Gao ◽  
Xiaohui Yang ◽  
Yang Guo ◽  
Yong Guan
Author(s):  
Varsha Sharma ◽  
Vivek Sharma ◽  
Nishchol Mishra

Recently, Internet of Things (IoT) has aroused great interest among the educational, scientific research, and industrial communities. Researchers affirm that IoT environments will make people's daily life easier and will lead to superior services, great savings as well as a nifty use of resources. Consequently, IoT merchandise and services will grow exponentially in the upcoming years. The basic idea of IoT is to connect physical objects to the Internet and use that connection to provide some kind of useful remote monitoring or control of those objects. The chapter presents the overall IoT vision, the technologies for achieving it, IoT challenges and its applications. This chapter also attempts to describe and analyze threat types for privacy, security and trust in IoT as well as shows how big data is an important factor in IoT. This chapter will expose the readers and researchers who are interested in exploring and implementing the IoT and related technologies to the progress towards the bright future of the Internet of Things


2017 ◽  
Vol 13 (10) ◽  
pp. 132
Author(s):  
Bing Zhou

<p><span style="font-size: small;"><span style="font-family: Times New Roman;">In order to develop a valid wireless Internet of things system, a wireless Internet of things framework based on mobile Internet is designed. The architecture of the Internet of things determines the architecture of the Internet of things business platform. There is no uniform standard for the architecture of the Internet of things service platform. The Internet of things business platform is mostly in an isolated state. The platform uses the common information management platform of Internet websites to manage mobile internet. Combined with the technologies of perception, identification and network transmission in the Internet of things technology, it is a content management Web management information system with both B/S (Browser/Server) and C/S structure (Client/Server). The platform can operate anywhere, and can give full play to the processing capacity of the client PC, and greatly reduce the application server running data load. The experimental results show that compared with the centralized database system, in the same piece of redundant condition, when the test table data is greater than the 1 million and the concurrent number is 100, the distributed database system has shorter concurrent query time and faster system response rate. Based on the above finding, it is concluded that wireless Internet of things technology based on mobile Internet will promote the development of the whole logistics industry and other related industries.</span></span></p>


Open Physics ◽  
2018 ◽  
Vol 16 (1) ◽  
pp. 656-662 ◽  
Author(s):  
Jianhou Gan ◽  
Xingchao Wang ◽  
Juxiang Zhou ◽  
Lin Tang ◽  
Lingyun Yuan

Abstract With the development of the Internet of Things (IoT), a new and important research direction is possible using IoT to solve the problems of information and intelligence in the metallurgical industry. This paper proposes an intelligent monitoring network based on networking technology and uses the coking process as the research object. The construction of a coking process intelligence monitoring network should focus on the formation of a perception layer network and build on a ZigBee mesh clustered network. Moreover, it also puts forward a network routing establishment and data transmission mechanism. This study provides an effective reference for the wide application of the IoT in the intelligent management and monitoring of the metallurgical process.


2015 ◽  
Vol 733 ◽  
pp. 804-810
Author(s):  
Yong Wei Mi ◽  
Rui Chang Wu ◽  
Yi Yong Li ◽  
Kai Zhang ◽  
Wei Wang ◽  
...  

With the development of the Internet of Things (IOT), its application in the field of health care has become more and more widely. Based on the introduction of the IOT system architecture, key technology and existing problems and the three layer general framework, combined with the actual characteristics of the hospital, an IOT-based medical equipment management system architecture, and application of Internet technology, sensing technology, communication technology and software information technology, analyzes the related key technologies of building in, including intelligent gateway, middleware, information management platform etc. in order to achieve intensive, digital and informatized medical equipment management mode.


2021 ◽  
Vol 37 (1) ◽  
pp. 205-217
Author(s):  
Qun Li ◽  
Bing Cao ◽  
Xing Wang ◽  
Jiu Jiang Wu ◽  
You Ke Wang

A new application of the internet of things in a low-cost greenhouse with no networked intelligent control equipment.The systematic water-saving management focused over the whole growth stage of crops, and it can effectively increase yield and quality.Replace some chemical fertilizer with fully-decomposed organic fertilizer and new types of fertilizer to reduce negative impact on soil and the environment.Regarding pesticide usage, we advocate prevention first and treatment second.Improve systematic water-saving management with regard decreases in crop yield and quality.Abstract. A basic greenhouse is an inexpensive type of greenhouse, which lacks networked intelligent control equipment; it is currently the most common type of greenhouse used in China. To manage planting activities intelligently and improve water use efficiency in these greenhouses, an intelligent planting management platform for strawberry based on the internet of things (IoT) is developed. On the platform, human-computer interaction occurs through the WeChat app on a mobile phone so that manual control of the strawberry environment in the greenhouse can be conducted. In this study, we add a user module in the perception layer of the IoT to obtain the information and manually control the environment in a basic greenhouse. The network layer uses narrowband IoT wireless transmission technology based on 4G. The application layer is designed with a systematic water-saving management knowledge base for strawberry. The systematic water-saving management feature includes seven parts: strawberry variety selection, planting seedlings, flower and fruit thinning, environmental control, disease and pest prevention and treatment, fertilizer management, and water-saving irrigation. Through the human–computer interaction platform, growers can receive decision-making options, planting management evaluation, query information retrieval, and regular relevant planting information. The application results of the platform showed the following: compared with management experience of growers, the water use efficiency of yield (WUEy) increased by 128.55%, the water use efficiency of production value (WUEpy) increased by 226.31%; the amount of chemical fertilizer decreased by 40%, the amount of pesticide decreased by 61.67%, and the cost of pesticide decreased by 32.48%; thus a decrease in the use of both fertilizer and pesticide was achieved. This study can directly provide technical support for strawberry intelligent management in basic greenhouses, and can also be used as a basic platform intelligent management systems for other crops grown in basic greenhouses. Keywords: Basic greenhouse, Intelligent agriculture, Internet of things, Sensor network , Systematic water-saving management, Water-use efficiency.


2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shan Hua ◽  
Kaiyuan Han ◽  
Zhifu Xu ◽  
Minjie Xu ◽  
Hongbao Ye ◽  
...  

In recent years, with the continuous innovation of the Internet of Things technology, the image processing technology in the Internet of Things technology has become more and more mature. Automated pig raising will become the mainstream pig raising technology, making the research of image processing technology in the intelligent pig breeding face a change. It has become more and more important. The traditional pig raising model cannot provide a suitable growth and development environment for the pigs. The pigs are disturbed by diseases and environmental discomforts during the growth process, which increases the mortality of the pig breeding process and cannot provide consumers with a guarantee. In order to solve the problem of unfavorable factors during the growth of live pigs, this article uses image processing technology to analyze data through images obtained through automated monitoring and management, uses the system to conduct intelligent, digitized, and standardized management of pig breeding data, and reports to the corresponding. The control module issues instructions to improve the corresponding environmental information and realize the intelligent management of pig breeding. This article will use image processing technology to monitor the growth of pigs in intelligent pig breeding. Studies have shown that the use of image processing technology to realize the intelligent management of pig breeding can help pig farms to carry out manual management to improve production efficiency and management efficiency. The management mode of the pig industry has changed from fuzzy to refined. The breeding cost of pig farms and a lot of manpower and material resources should be reduced, reducing the probability of pigs getting sick and the impact of the environment, reducing the mortality of pigs, improving their economic benefits, and providing consumers with a strong guarantee.


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