{"title":"Design of Monitoring and Control System of Hydraulic Pump Station Based on Internet of Things","authors":"Ping Xu, Shuangfei Zhang","doi":"10.3103/S0146411625700506","DOIUrl":null,"url":null,"abstract":"<p>Remote data monitoring of hydraulic pump stations holds significant value for fault diagnosis and prediction. This paper presents a monitoring system for hydraulic pump stations utilizing an Internet of Things (IoT) module. The system employs the ESP8266 IoT data module and utilizes the STM32F767VGT6 microcontroller as the primary controller, facilitating data transmission and exchange through wireless communication. The monitoring client system is developed on the Alibaba Cloud IoT Studio platform, enabling connection to the cloud server for data monitoring and command transmission. Experimental validation of the system demonstrates stable operation, remote data collection, and cloud storage capabilities. Additionally, the testing errors for pressure, oil temperature, oil level, and flow rate remain below 0.6%, indicating high measurement accuracy. This design offers valuable options for the fault diagnosis and prediction of hydraulic pump stations.</p>","PeriodicalId":46238,"journal":{"name":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","volume":"59 3","pages":"340 - 348"},"PeriodicalIF":0.5000,"publicationDate":"2025-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AUTOMATIC CONTROL AND COMPUTER SCIENCES","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.3103/S0146411625700506","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"AUTOMATION & CONTROL SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Remote data monitoring of hydraulic pump stations holds significant value for fault diagnosis and prediction. This paper presents a monitoring system for hydraulic pump stations utilizing an Internet of Things (IoT) module. The system employs the ESP8266 IoT data module and utilizes the STM32F767VGT6 microcontroller as the primary controller, facilitating data transmission and exchange through wireless communication. The monitoring client system is developed on the Alibaba Cloud IoT Studio platform, enabling connection to the cloud server for data monitoring and command transmission. Experimental validation of the system demonstrates stable operation, remote data collection, and cloud storage capabilities. Additionally, the testing errors for pressure, oil temperature, oil level, and flow rate remain below 0.6%, indicating high measurement accuracy. This design offers valuable options for the fault diagnosis and prediction of hydraulic pump stations.
期刊介绍：
Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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