Research on Data Collection and Observability of Gas Station in Cloud Environment

Xuyi Chen, Xiaoning Jiang
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Abstract

With the rapid development of the energy industry, the scale of gas stations continues to expand, and gas station equipment has become sophisticated and complex. Once the gas station equipment fails, it will affect the service of the gas station and even cause serious safety accidents. Aiming at the complex and dangerous environment of gas stations, a gas station IoT data collection method based on MQTT is proposed. Gas station equipment is connected to the cloud through the IoT technology, the system collects and analyzes data, visualizes the analysis results, and finally saves the data in the database. Through this data collection method, coupled with the improvement of gas station data observability, gas station fault detection and maintenance will be more efficient.
云环境下加油站数据采集与可观测性研究
随着能源工业的快速发展,加油站规模不断扩大,加油站设备也变得精密、复杂。加油站设备一旦出现故障,将影响加油站的服务,甚至造成严重的安全事故。针对加油站复杂危险的环境,提出了一种基于MQTT的加油站物联网数据采集方法。加油站设备通过物联网技术连接到云端,系统对数据进行采集和分析,并将分析结果可视化,最后将数据保存在数据库中。通过这种数据采集方法,再加上加油站数据可观测性的提高,加油站故障检测和维修将更加高效。
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