| The fatigue endurance of various parts and assemblies can be tested under simulated working conditions using a multi-channel fatigue test bench.This test cycle is long and generates a large amount of data,resulting in a heavy monitoring workload.However,the current development of Internet of Things(Io T)technology has opened up new possibilities for remote monitoring of industrial equipment.In this thesis,we provide a comprehensive analysis and summary of the current situation of Io T technology and industrial remote monitoring system research,and analyze the requirements of the multi-channel fatigue test bench remote monitoring system.We propose a detailed overall architecture plan for the remote monitoring system,based on Io T technology,which enables multi-level monitoring of fatigue tests,remote control of the test bench,and management of user test information.The functional modules of the system are designed in accordance with the overall architecture.The selection and configuration of sensors required for fatigue test monitoring is carefully explained,as is the measurement and control principle of the multi-channel controller.Furthermore,the function of the test server is extended to enable the uploading of test data and receiving of remote control commands.The environment of the monitoring cloud platform is also deployed based on Ali cloud server,and the function of the monitoring cloud platform and Android client is designed.The process of remote monitoring of the system is meticulously designed.Next,the monitoring cloud platform is developed based on B/S structure,Java EE three-tier architecture,and MVC model,using Servlet,My Batis,My SQL,JSP,Bootstrap,and other front-end and back-end technologies.The instant communication between the Web client and the monitoring cloud platform is realized using Ajax polling and Web Socket.The management of user information,test equipment,and fatigue test monitoring is also fully realized.The Android client is developed according to its software architecture,and the MQTT proxy server is built using Active MQ to enable the MQTT communication between the Android client and the monitoring cloud platform.On this basis,the real-time test data pushing,pump station status monitoring and alarming,and test equipment remote control functions of the Android client are all realized.Finally,the system is thoroughly debugged,with a focus on testing the functions of the monitoring cloud platform and the Android client.The test results show that the monitoring cloud platform and Android client have achieved the expected functions and can fully meet the basic requirements of remote monitoring of the fatigue test bench. |