| Tunnel boring machine(TBM)mainframe disassembly device is the key lifting equipment for disassembling and assembling the TBM mainframe in the tunnel.However,due to the huge size of the disassembly device,the synchronous lifting of multiple hydraulic cylinders and the synchronous walking of multiple motors at the bottom of the device are directly related to the safety of the disassembly device operation,while the limited space in the tunnel also makes the disassembly device operation technically difficult and dangerous,if the TBM mainframe disassembly device operation accidents,there is a high risk of major safety accidents.Therefore,this thesis develops and designs a safety monitoring and warning system according to the structural characteristics and process requirements of TBM mainframe disassembly device,which monitors the operation of the disassembly device to determine the safety status of the device,and completes the safety warning according to the monitoring data,and shows the safety status of the device to the operator through the monitoring platform to ensure the effective monitoring and warning of the TBM mainframe disassembly device.The specific research of this thesis is as follows:For the safety monitoring of the TBM mainframe disassembly device,this thesis monitors the height and pressure of the hydraulic cylinder lifting,the system pressure of the oil pump outlet,the temperature of the hydraulic oil in the oil tank,the level of the oil tank and the displacement of the bottom travel by setting up various sensors at the bottom of the system,and focuses on the synchronous control of the bottom travel and the hydraulic cylinder lifting at the software level,and completes the safety monitoring system of the disassembly device by combining hardware and software design.To address the problem that there are many variables affecting the safety of disassembly and assembly device operations and the degree of influence is different,thus making it difficult to warn the safety of disassembly and assembly device,this thesis uses the AHP-EWM to analyze and fuse the data collected by the sensors to obtain the safety state coefficient,and judge the overall safety state of the disassembly and assembly device at this time through the safety state coefficient.Three types of prediction models were established to predict the safety state coefficients of the later disassembled devices,and the safety prediction model with the best prediction effect was selected.A safety prediction model based on two levels of information fusion was established to solve the safety warning problem during the disassembled device operation.To address the problems of displaying the monitoring information and applying the safety prediction model built during the operation of the TBM mainframe disassembly device,this paper builds a monitoring platform to visually display the monitoring information such as the data collected by sensors and the equipment status during the disassembly device operation through the configuration screen.At the same time,the safety prediction model is integrated into the monitoring platform,and the prediction screen enables the operator to understand the overall operation status of the TBM mainframe disassembly device in time,which provides a scientific basis for the safety operation of the disassembly device in the later stage,so as to reasonably arrange the disassembly schedule.This thesis builds a TBM mainframe disassembly device operation safety monitoring system through hardware and software design,establishes a two-level information fusion TBM mainframe disassembly device safety prediction model by studying data fusion and safety prediction model,and finally fused with the monitoring platform to build a TBM mainframe disassembly device safety monitoring and early warning system. |
