Service quality optimization method of scraper chain tension monitoring wireless sensor network

By adopting a service quality optimization method of grade queue perception in the scraper chain tension monitoring wireless sensor network, the problem that the prior art is difficult to meet the energy and service quality requirements of the scraper chain tension monitoring network at the same time is solved, and high-quality monitoring and optimization of data of different levels is achieved.

CN119997098AActive Publication Date: 2025-05-13CHINA UNIV OF MINING & TECH
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Patent Information

Application Number
CN202411816842.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-05-13
Estimated Expiration
2044-12-11

AI Technical Summary

Technical Problem

The existing scraper chain tension monitoring wireless sensor networks are difficult to meet the energy and service quality requirements at the same time, especially when the tension monitoring data levels and maximum delay requirements are different at different operating positions of the scraper chain.

Method used

A service quality optimization method for scraper chain tension monitoring wireless sensor network based on grade queue perception is proposed. By establishing a scraper chain tension monitoring wireless sensor network system model based on built-in self-energy stress sensor nodes, the priority classification of different levels of data and the maximum delay requirements are met.

Benefits of technology

On the premise of ensuring the stability of the monitoring network energy, high-quality and continuous monitoring of monitoring data at different levels can be achieved, and the service quality needs of the scraper chain tension monitoring network are met. Through mechanisms such as punishment factors and delay factors, the number of packet loss and queue backlog length can be optimized.

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Abstract

The invention relates to a service quality optimization method of a scraper chain tension monitoring wireless sensor network, and aims to meet the high-quality service requirement of the scraper chain tension monitoring network on the premise of ensuring the stability of monitoring network energy and data queues, the method combines the operation characteristics of a scraper chain, and utilizes an improved Lyapunov drift and penalty technology to optimize the service quality of the scraper chain tension monitoring wireless sensor network. A penalty factor, a grade weight factor and a delay factor are respectively designed, the stability of monitoring network energy and a data queue is ensured, and continuous monitoring of the tension of the scraper chain is realized.
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Citation Information

Patent Citations

  • Sensation cross-layer optimization method for worst time delay in heterogeneous wireless sensing network

    CN104735800A

  • Method for estimating chain tension of scraper plate conveyer

    CN105784241A

  • A method of priority control in wireless packet data communications

    WO2003071740A1