Optimized Design of Mechanical Chain Drive Based on a Wireless Sensor Network Data Algorithm

In this paper, we use a wireless sensor network data algorithm to optimize the design of mechanical chain drive by conducting an in-depth study of the mechanical chain drive optimization. We utilize the crowdsourcing feature of the swarm-wise sensing network for assisted wireless sensor networking to achieve crowdsourcing-assisted localization. We consider a framework for crowdsourcing-assisted GPS localization of wireless sensor networks and propose two recruitment participant optimization objectives, namely, minimum participants and time efficiency, respectively. A model and theoretical basis are provided for the subsequent trusted data-driven participant selection problem in swarm-wise sensing networks. The sprocket-chain engagement frequency has the greatest influence on the horizontal bending-vertical bending composite in different terrain conditions. The dynamic characteristics under working conditions are most influenced, while the scraping of the scraper and the central groove significantly influenced horizontal bending and vertical bending. Under load conditions, the amplitude of the scraper and central groove scraping increases significantly, which harm the dynamics of the scraper conveyor. By monitoring the speed difference between the head and tail sprockets and the overhang of the scraper, the tensioning status of the scraper conveyor chain can be effectively monitored to avoid chain jamming and chain breakage caused by the loose chain, thus improving the reliability and stability of the scraper conveyor.

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Compressed Sensing of IR-UWB Wireless Sensor Network Data Based on Two-Dimensional Measurements

Chinese Journal of Electronics ◽

10.1049/cje.2015.07.032 ◽

2015 ◽

Vol 24 (3) ◽

pp. 627-632 ◽

Cited By ~ 1

Author(s):

Kai Wang ◽

Xiaojun Jing ◽

Yulin Liu ◽

Qun Wan

Keyword(s):

Wireless Sensor Network ◽

Compressed Sensing ◽

Sensor Network ◽

Wireless Sensor ◽

Network Data ◽

Two Dimensional ◽

Dimensional Measurements

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The Research on Software-defined Wireless Sensor Network Data Forwarding Method Based on Vector Address

Proceedings of the 2nd International Conference on Computer Science and Application Engineering - CSAE '18 ◽

10.1145/3207677.3277921 ◽

2018 ◽

Author(s):

Jianguang Zhao ◽

Man-Gui Liang ◽

Jingjing Fan ◽

Yingwei Feng

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Wireless Sensor ◽

Network Data ◽

Data Forwarding

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Research on Data Release and Location Monitoring Technology of Sensor Network Based on Internet of Things

Journal of Web Engineering ◽

10.13052/jwe1540-9589.2036 ◽

2021 ◽

Author(s):

Bin Lin

Keyword(s):

Wireless Sensor Network ◽

Internet Of Things ◽

Sensor Network ◽

Low Cost ◽

Wireless Sensor ◽

The Internet ◽

Network Data ◽

Monitoring Technology ◽

Software And Hardware ◽

The Internet Of Things

The Internet of Things is another information technology revolution and industrial wave after computer, Internet and mobile communication. It is becoming a key foundation and an important engine for the green, intelligent and sustainable development of economic society. The new networked intelligent production mode characterized by the integration innovation of the Internet of Things is shaping the core competitiveness of the future manufacturing industry. The application of sensor network data positioning and monitoring technology based on the Internet of Things in industry, power and other industries is a hot field for the development of the Internet of Things. Sensor network processing and industrial applications are becoming increasingly complex, and new features have appeared in the sensor network scale and infrastructure in these fields. Therefore, the Internet of Things perception data processing has become a research hotspot in the deep integration process between industry and the Internet of Things. This paper deeply analyzes and summarizes the characteristics of sensor network perception data under the new trend of the Internet of Things as well as the research on location monitoring technology, and makes in-depth exploration from the release and location monitoring of sensor network perception data of the Internet of Things. Sensor network technology integrated sensor technology, micro-electromechanical system technology, wireless communication technology, embedded computing technology and distributed information processing technology in one, with easy layout, easy control, low power consumption, flexible communication, low cost and other characteristics. Therefore, based on the release and location monitoring technologies of sensor network data based on the Internet of Things in different applications, this paper studies the corresponding networking technologies, energy management, data management and fusion methods. Standardization system in wireless sensor network low cost, and convenient data management needs, design the iot oriented middleware, and develops the software and hardware system, the application demonstration, the results show that the design of wireless sensor network based on iot data monitoring and positioning technology is better meet the application requirements, fine convenient integration of software and hardware, and standardized requirements and suitable for promotion.

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