Status Detection Of Greenhouse Devices And Application In Remote Monitoring

As a typical representative of facility agriculture,modern greenhouses have outstanding advantages in precious flower cultivation and anti-season vegetables.The regulation of the greenhouse small environment has an important influence on the growth of greenhouse plants.The regulation of the greenhouse environment is directly related to the greenhouse device,so the management of the greenhouse device is crucial.The greenhouse small environment control device is mainly switch device or continuous adjustment device without position feedback.Its operation is based on time.The actual position of the device may deviate from the position of the control system recognition memory.Therefore,it is necessary to monitor the operating status of the device in the greenhouse to prevent the device from malfunctioning.To solve this problem,the camera in the greenhouse can be used to detect the greenhouse device,and the target detection algorithm can be used to study the operational status of major greenhouse device.This thesis studies the status detection algorithm of the greenhouse fan.Firstly,it introduces the basic principles of the target detection algorithm,the frame subtraction method,the optical flow method,the autocorrelation function method.Then the application of different target detection algorithms in fan status detection is studied.According to the experimental results,the real-time and accuracy of different detection algorithms are analyzed.The frame subtraction method and the autocorrelation function method are applied to the real-time detection of fan status finally.The detection results of these two algorithms are accurate and real-time,and can quickly detect the status of the fan.For the detection of the opening degree of the vent in the greenhouse,this thesis studies the status detection algorithm of the vent in the greenhouse are studied.Introduce the basic principles of the target detection algorithm,background subtraction method,Canny edge detection algorithm,mixed Gaussian model,ViBe algorithm.Make an study on the application of different target detection algorithms in vent opening detection.Through experiment comparison and analysis of the real-time performance and accuracy of different detection algorithms,the background subtraction method and Canny edge detection algorithm are used to detect the vent status in real time.It realizes real-time and accurate monitoring of vent status,and solves the problem that it is difficult for device like vent without position feedback to obtain its accurate status.By studying the status detection algorithm of the greenhouse fan and vent,the appropriate target detection algorithm is selected according to the characteristics of different device.The monitoring images of the cameras in the greenhouse are used to detect the fan status and vent opening status in real time.Updates the fan and the vent status detection results to the greenhouse device detection status database in real time and establish an abnormal alarm mechanism.When abnormal conditions occur in the fan or vent of the device in the greenhouse and the environmental information of the greenhouse is abnormal,send a message to the administrator to realize remote warning of the greenhouse environment and device status to prevent device failure.This thesis aims at the problem that the actual position of the greenhouse switch device fan and the continuously adjustable device vent without position feedback may deviate from the recognition and memory position of the control system.The camera in the greenhouse is used to detect the greenhouse device,and the target detection algorithm is used to study the operation of the main greenhouse device operating status.According to the device status detection results,a device abnormality alarm mechanism is established and a message is sent to the administrator when the device is abnormal.