基于模型优化预测与温度场分析的温室传感器故障识别

在温室高温高湿的工作环境下,传感器易出现故障,会对温室的智能管理造成一定的资源浪费,为保证智能化温室管理系统的有效运行,需要及时准确地对温室内故障传感器做出识别.通过试验对云南地区温室在夏季不同通风状态下室内场域的变化情况进行分析,以云南地区大型玻璃连栋温室作为研究对象,建立夏季不同通风方式下温室的三维稳态CFD模型,...

Greenhouse Sensor Fault Recognition Based on Model Optimization Prediction and Temperature Field Analysis

In working environment of greenhouse with high temperature and humidity, the sensors are prone to failure, which causes a certain waste of resources for intelligent management of greenhouse. To ensure effective operation of intelligent greenhouse management system, it is necessary to identify faulty sensors in greenhouse in a timely and accurate manner. Through experiments, changes in the indoor field of Yunnan greenhouses under different ventilation conditions in summer were analyzed.Taking large glass multi-span greenhouses in Yunnan as research object, a three-dimensional steady-state CFD model of greenhouses under different ventilation modes in summer was established and combined with experiments. Validity of the model was verified by experiments. According to actual external conditions, internal field of greenhouse was analyzed to predict environmental value at sensor node position, and abnormal position of sensor reading was found by comparing with actual reading. In order to further improve accuracy of fault sensor identification, combined with sensor fault node detection algorithm based on median strategy, it could accurately identify greenhouse fault sensor in time and provide accurate greenhouse environmental data for intelligent management of greenhouse.