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| Long range radio wide area network based low-power long-range wireless sensor system |
| WANG Qi1, QIAN Yusheng1, LU Min1, LI Yingjie2 |
1. Jiangsu Changshu Power Generation Co., Ltd, Suzhou, Jiangsu 215500;
2. Beijing Hejunchi Technology Co., Ltd, Beijing 102200 |
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Abstract The reliable and efficient operation of a coal handling system is crucial for stable power generation in thermal power plants. Traditional coal handling systems often lack real-time online monitoring and sophisticated automated control, relying instead on manual inspections. This leads to increased risks of equipment failures, high maintenance costs, low operational efficiency, and potential safety hazards. This research proposes a smart monitoring and control solution for coal handling systems based on long range radio wide area network (LoRaWAN) technology to address these challenges. The proposed solution utilizes multi-parameter wireless sensors (e.g., temperature, vibration, door magnetic sensors) to collect operational data from key equipment. This data is then preprocessed, analyzed, and transmitted by an Internet of Things (IoT) data aggregation server, which seamlessly integrates with existing coal handling programmable logic controllers and safety instrumented systems. Optimization of the antenna impedance matching network within the wireless sensors maximizes the transmission range while ensuring low power consumption. And core customized design is conducted on the system model in response to the environment of high dust and strong electromagnetic interference in the coal handling system of thermal power plants. This enables real-time monitoring, early warning alarms, and refined management of the coal handling system, ultimately enhancing its operational efficiency and safety.
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Received: 09 April 2025
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| Cite this article: |
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WANG Qi,QIAN Yusheng,LU Min等. Long range radio wide area network based low-power long-range wireless sensor system[J]. Electrical Engineering, 2026, 27(2): 32-39.
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| URL: |
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https://dqjs.cesmedia.cn/EN/Y2026/V27/I2/32
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2026, Vol. 27 
