scholarly journals Image Processing Technology Based on Internet of Things in Intelligent Pig Breeding

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shan Hua ◽  
Kaiyuan Han ◽  
Zhifu Xu ◽  
Minjie Xu ◽  
Hongbao Ye ◽  
...  
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Processing Technology ◽  
The Internet ◽  
Image Processing Technology ◽  
Pig Farms ◽  
Intelligent Management ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

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.

IoT-based model for intelligent innovation practice system in higher education institutions

2020 ◽  
pp. 1-10
Author(s):  
Juan Xie ◽  
Yan Yang
Keyword(s):  
Internet Of Things ◽  
Education Reform ◽  
The Internet ◽  
Intelligent Robot ◽  
Science Courses ◽  
Learning Satisfaction ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Robot Platform

This article first provides an overview of the Internet of Things technology, mainly analyzing the characteristics of the Internet of Things technology and the impact of core technologies on education reform; secondly, it studies the specific impact of the Internet of Things technology on the education reform of local applied universities, which is mainly divided into three On the one hand, it promotes the construction of smart campus, the second is the realization of personalized learning methods, and the third is the promotion of smart teaching. Subsequently, the intelligent teaching based on the intelligent robot platform was proposed and the teaching demonstration was carried out. This research conducted an empirical study on third-year university students as the objects of teaching implementation. In the preparatory stage of teaching, the micro-curriculum of guided learning is produced, teaching activities are designed, and the study attitude and learner satisfaction questionnaire and interview outline are compiled. After the empirical teaching, analyzing the empirical results and related data, it is found that the application of intelligent robots in science courses can stimulate students’ interest in and enthusiasm in science courses; it can improve students’ creative thinking level and students’ learning satisfaction. Students’ perceived ease of use and perceived usefulness of the intelligent robot platform will affect students’ learning satisfaction, thereby affecting the teaching effect.

scholarly journals Intelligent Coordination Distribution of the Whole Supply Chain Based on the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongxiu Cui
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Economic Benefits ◽  
Cold Chain ◽  
The Internet ◽  
Key Technologies ◽  
Coordination System ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient.

scholarly journals Application and Research of the Intelligent Management System Based on Internet of Things Technology in the Era of Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Xiaojing Lv ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
The Internet ◽  
Global Industry ◽  
Hardware System ◽  
Sensing Technology ◽  
Opc Technology ◽  
Intelligent Management ◽  
Internet Of Things Technology ◽  
The Internet Of Things

With the in-depth application of the Internet of Things, many emerging technologies are changing the global industry landscape on an unprecedented scale. At the same time, they also provide an opportunity for the development of intelligent management to break through the bottleneck. The proposal and evolution of the concept of intelligent management makes the development of management technology more advanced. Therefore, the introduction of the Internet of Things technology into intelligent management has very important research significance and value. First, conduct research on the origin and current situation of the Internet of Things technology at home and abroad and understand the relevant theories and cutting-edge technologies of the Internet of Things technology. Second, take the enterprise as an example to study the process flow and existing problems in the logistics link in the factory, combine the management concept of the Internet of Things, and integrate IC card identification technology, RFID radio frequency identification technology, barriers and ground sensing technology, and OPC/PLC. Third, combined with PLC/OPC technology, the design and integration of the software system and hardware system are realized. The experimental results show that the system modules have been tested to provide company information management, employee multifactor predictive analysis, and efficient batch efficiency evaluation, which has a certain value for company data management and data analysis and mining, and improve company efficiency by more than 30%.

scholarly journals Economic Market Fluctuation Model Based on Internet of Things Technology

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Lu Zhai
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Intelligent Network ◽  
Economic Market ◽  
Market Economic ◽  
Volatility Model ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Fluctuation Model

In order to explore the impact of the Internet of Things technology on economic market fluctuations and the analysis effect of the Internet of Things technology on economic market fluctuations, this paper uses the Internet of Things algorithm to improve the economic fluctuation model. Moreover, this paper uses the Internet of Things algorithm to locate economic transactions and performs data processing to optimize the intelligent network system to improve the operating effect of the economic system. In addition, this paper improves the sensor node algorithm and proposes to use the weighted value of network node density to balance the positioning problem caused by the unbalanced distribution of network nodes in the detection area. Finally, this paper analyzes the market economy volatility model through the Internet of Things technology, combined with simulation experiments to explore the application of the Internet of Things technology in the economic market volatility model. Through experimental research, it can be known that economic market fluctuation models based on Internet of Things technology can play an important role in market economic analysis.

scholarly journals Effect of Basketball on Improving the Health of Obese People under the Monitoring of Internet of Things Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Zhaoxin Liu ◽  
Junchang Kan
Keyword(s):  
Internet Of Things ◽  
Exercise Intervention ◽  
Intervention Group ◽  
Overweight And Obesity ◽  
The Internet ◽  
Average Weight ◽  
Obese People ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

By accelerating the aforementioned industrialisation and urbanisation, people’s way of life has undergone enormous changes. The incidence of overweight and obesity increases rapidly. This research first broke through the impact of basketball on improving physical health and then designed experiments separately. The experiment is divided into two experimental groups and a replacement group, with 150 people in total, 50 people per group, excluding the interference of gender, age, and other factors. The influencing factors are studied under the monitoring of the Internet of Things technology. One group had 8 weeks of basketball training, and the other group had 8 weeks of plant diet. The results showed that the average weight of the nutrition intervention group was reduced by 9.85 kg, and the average weight of the exercise intervention group was reduced by 7.64 kg. The percentage of body fat and blood lipid composition of the obese people have decreased, which indicates that the combination of basketball intervention under the monitoring of the Internet of Things technology can improve the physique of obese people.

scholarly journals Simulation and Modeling Algorithm for Terminal Container Handling Intelligent Management Based on Internet of Things and Big Data Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Lifen Zhang ◽  
Qiang Zhou ◽  
Huifang Ding
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Management System ◽  
The Internet ◽  
Container Handling ◽  
Rfid Middleware ◽  
Intelligent Management ◽  
Internet Of Things Technology ◽  
The Internet Of Things ◽  
Big Data Technology

In order to improve the effect of intelligent terminal container management, this paper improves the Internet of Things and big data technology, analyzes the RFID middleware architecture based on the actual needs of container handling management, and proposes a new method of RFID middleware load balancing. Moreover, this paper combines the Internet of Things technology and big data technology to analyze the terminal container loading and unloading process and build a corresponding intelligent system. After constructing a terminal container handling intelligent management system based on the Internet of Things and big data technology, the performance of the system is verified, and multiple sets of simulation data are used to conduct research. The experimental research results show that the terminal container handling management system based on the Internet of Things and big data constructed in this paper basically meets the actual needs of use.

Data collection of safety accidents in sports training of athletes with Internet of Things technology

2021 ◽  
pp. 1-7
Author(s):  
Zhiping Wang ◽  
Xinxin Zheng ◽  
Zhichen Yang
Keyword(s):  
Information Technology ◽  
Data Collection ◽  
Internet Of Things ◽  
The Internet ◽  
Sports Training ◽  
Accident Data ◽  
And Performance ◽  
Control Technologies ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The Internet of Things (IoT) technology is an information technology developed in recent years with the development of electronic sensors, intelligence, network transmission and control technologies. This is the third revolution in the development of information technology. This article aims to study the algorithm of the Internet of Things technology, through the investigation of the hazards of athletes’ sports training, scientifically and rationally use the Internet of Things technology to collect data on safety accidents in athletes’ sports training, thereby reducing the risk of athletes’ sports training and making athletes better. In this article, the methods of literature research, analysis and condensing, questionnaire survey, theory and experiment combination, etc., investigate the safety accident data collection of the Internet of Things technology in athletes’ sports training, and provide certain theories and methods for future in-depth research practice basis. The experimental results in this article show that 82% of athletes who are surveyed under the Internet of Things technology will have partial injuries during training, reducing the risk of safety accidents in athletes’ sports training, and better enabling Chinese athletes to achieve a consistent level of competition and performance through a virtuous cycle of development.

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