Design And Implementation Of Personnel Switch Window State Detection System Based On RSSI And Perceived Frequency

The degree of window opening not only affects the building energy use process but also affects the building security management.Therefore,window opening or closing is the event that needs to be detected when the building is operational and maintained.In the building space unit configuring the RFID system,the personnel switches the window instantly in the RFID reader fixed installation situation.The moment personnel switch the window and the different opening degrees of the window will influence the RFID reader to receive the signal.Therefore,the window opening state can be judged in time by perceiving the change of the RFID tag response signal.Facing the personnel action causes the window state change the scene,may use the RSSI and perceived frequency obtained when RFID reader perceives RFID tags can be used to detect the change degree of window opening state,thus achieves the personnel switch the window detection.For the window opening state change scenario caused by human operation,this paper researches the personnel switch window state detection method based on RSSI and perceived frequency and implements a personnel switch window state detection system based on the proposed method.First,to determine the optimal installation area of the RFID reader,the distance discrimination model based on RFID and perceived frequency is constructed using the Naive Bayesian classification algorithm to realize the distance discrimination between the RFID reader and tag.The results show that the distance discrimination model using RSSI and perceived frequency is more accurate than using only one variable of RSSI for distance discrimination,and considering the different perceived areas of different RFID readers,the RFID perceived area can be divided into three areas: the perceived stable area,the perceived sudden change area,and the perceived remote area.Secondly,in the RFID reader perceived stable area,in order to achieve the purpose of personnel switch window state detection through RSSI and perceived frequency,this thesis determines whether a person opening or closing a window by judging the change of window opening status,and constructs the personnel switch window state detection model based on RSSI and perceived frequency accordingly.Firstly,the CART decision tree algorithm is used to classify and discriminate the window opening status,and then the back and forth changes of the window opening status are used to detect whether there is a person regulating the window opening.The results show that the designed method can achieve the purpose of detecting personnel opening or closing the window.Furthermore,the combination of RSSI and perceived frequency has higher accuracy than using RSSI only for detection and judgment.Finally,based on the above model,we design and implement a system for detecting personnel switch window state based on RSSI and perceived frequency.The system mainly consists of an RFID signal acquisition device and a local information processing server,where the RFID signal acquisition device collects data related to RFID tags.The local information processing server is responsible for analyzing and processing the data using the algorithm described in this thesis,uploading the information of personnel switch window to the local database,and displaying the action detection results through the Web platform.The results show that the system can detect the behavior of people changing the window opening state in the building..In summary,this thesis relies on the scenario in which the window opening degree changes due to personnel’s action and studies the detection method of personnel switch window state detection based on RSSI and perceived frequency.Through the analysis of RSSI and perceived frequency,the stable perceived area of the RFID reader is determined.On this basis,the window opening status is discriminated,and finally,the regulation behavior of personnel on window opening is determined according to the window opening change.Therefore,the method can not only provide decision support for the security management demand in the space but also provide a decision basis for the behavior energy saving in the space.Figure [42] Table [19] Reference [51]...