After a train of trains completes daily operation, a system maintenance check will be conducted to ensure the next safe operation of the train.
The Intelligent Maintenance System for Rail Vehicles ('Intelligent Maintenance Robot') debuted at Nanjing 2017 World Smart Manufacturing Conference on December 6, which is the first time that intelligent automation testing can be carried out to greatly improve the efficiency of train fault identification and detection.
After dawn, the mysterious 'smart car in the car' and 'smart car in the car' will be opened to the world mysterious veil, presented at the World Intelligent Manufacturing Conference -
At the World Smart Manufacturing Conference to be held tomorrow, the Ministry of Industry and Information Technology will release the 'China Green Paper on Intelligent Manufacturing' and the 'First Batch of Supplier Solutions for Intelligent Manufacturing Systems'. The China Association for Science and Technology (CAST) will release the latest ten most advanced smart manufacturing technologies and engineering Progress and China's smart manufacturing technology and engineering ten latest progress, the Chinese Academy of Engineering Dean Zhou Ji will be "China's smart manufacturing development strategy," thematic reports.
The intelligent maintenance system for rail vehicles was developed by Qingdao Sifang Vehicle Research Institute Co., Ltd. (Sifang Sifang) .The control system consists of two parts: the control center and the image acquisition robot. The control center collects the collected images and schedules the entire inspection process The image acquisition robot collects the detection information of all parts of the train. It mainly consists of the intelligent delivery platform, multi-degree-of-freedom flexible robotic arms, cameras, sensors and surveillance cameras.
The system is the first device in the world that uses highly flexible robots and machine vision fusion technology to perform visual inspections of various parts of a vehicle in full compliance with high-speed train maintenance standards or urban rail train detection standards.
When the train storage for maintenance, start the image acquisition robot for self-test, the robot arrived at the front of the vehicle uniform head position, the robot automatically detects the bottom of the vehicle images collected at the end of the picture; when the robot reaches the tail fixed position, the robot extension Out of the robot arm and reverse the direction of the robot laser positioning to the bogie position, the arm in accordance with the predetermined design into the narrow space at the bottom of the bogie and the vehicle, began to capture the key parts of the train pictures at the same time in the robot arm with the robot forward acquisition When the picture, the robot automatically open the area camera, a more detailed bottom of the HD shooting.The intelligent maintenance system compared to the traditional manual work, can increase 40% of the overhaul range, reduce the missed inspection rate and improve maintenance efficiency. The collected information will be displayed on the control center display in real time. After the collection is completed, the robot automatically returns to the initial position and shuts down.
As the old saying goes, 'There are people Sambo, essence of God', the system also has three magic weapons to ensure that the inspection of the efficient, high-quality, high-definition image acquisition is clear, accurate fault identification and a variety of driver-compatible.
HD image acquisition clear. Image acquisition robots can capture high-definition images of key parts of the bogie in all directions, multi-degree of freedom flexible arm carrying image acquisition device to capture bogie top, side and bottom of high-definition images, while the line scan camera to capture the entire body The bottom of the high-definition images, area cameras to capture the bottom of the bogie high-definition images to ensure that the vehicle coverage area to be fully covered.
Fault recognition processing is accurate.Using advanced image feature recognition technology and machine depth learning technology, greatly improve the fault recognition accuracy.Gathering of high-definition images through the wireless network in real-time transmission to the control center, and the use of image recognition algorithms on the image Automatic fault judgments, such as lost parts, loose bolts, foreign body, fracture, size wear, the system can promptly feedback the information to the maintenance personnel to verify.
A variety of driving modes are compatible.According to the different conditions of maintenance work, the image acquisition robot can work in two ways: hanging or laying the rail on the ground, compatible with various working conditions, and customized maintenance mode according to user requirements.
Intelligent Maintenance System for Rail Vehicles is the latest intelligent product based on the smart manufacturing target of docking by Sifang Automotive and relying on more than 50 years' mechatronic R & D advantages.