Elevator Monitoring System Based On MEMS Sensor

In view of the problems of the current large elevator detection equipment,the long detection interval and the lack of real-time performance,this paper aims to design an elevator fault monitoring system based on MEMS acceleration sensor and gyroscope,which can provide information on the acceleration,speed,running height and vibration of the elevator Carry out real-time testing and save the testing information for future retrieval and analysis.The system is also equipped with a test unit,which can visually display the elevator performance indicators when needed.Then this article introduces the data calibration method,collects the calibrated elevator acceleration,derives the strapdown inertial navigation from the elevator acceleration with error,and corrects the errored acceleration through the strapdown inertial navigation algorithm to remove the elevator acceleration data The effect of gravity.Then this paper introduces the data calibration method,collects the elevator acceleration after calibration,and deduces the attitude calculation algorithm,corrects the acceleration after calibration by attitude calculation,and removes the gravity effect of the elevator acceleration data.Then this article introduces adaptive filtering,calculates the vibration index of the elevator through adaptive filtering,and then theoretically derives the Kalman algorithm and implements it on the embedded device.The Kalman algorithm is used to calculate elevator acceleration,speed,and height information.Carrying out data fusion reduces the error caused by the accumulation of sensor time,and obtains the acceleration,speed and height information of the elevator.Finally,this article uses the test unit designed by Qt to test the system,verify the function of the system,summarize the work of this article,and look forward to the places worth studying and exploring in the follow-up work.