In the rail transit station, intelligent robots began to move out, climb hills, overcome obstacles, take pictures, and kept busy. They are rail transit intelligent inspection robots jointly built by DITT Hangzhou Digital Technology Co., Ltd. (Chinese: 中数智科) and JAKA Robotics (Chinese: 节卡机器人).
Traditional rail transit inspections use manual inspections, and the light at the bottom of the train is poor at night. The inspectors need to use flashlights to check whether there are defects at the bottom of the train, and manually record the defects. With the accelerated construction of China's rail transit network, the number of trains continues to increase, and the maintenance and operation load increases. It has become an inevitable trend for the inspection mode to shift from traditional manual inspection to automation, intelligence, and scale.
Aiming to address these pain points of traditional rail transit inspection work, JAKA Robotics and Ditt have jointly created a rail transit intelligent inspection robot, which integrates JAKA robot, AGV (Automated guided vehicles), panoramic 2D camera, high-precision color 3D camera, flexibly shuttles between rail transit tracks, and takes close-range, multi-angle, and fast shots of rail transit vehicle bottom parts to help intelligent maintenance.
The process flow works in the following way:
The user issues inspection tasks on the management platform; After accepting the task, the inspection robot at the bottom of the rail transit vehicle departs from the charging pile to the corresponding lane; Then it positions at the front of the car, after which it starts image acquisition (the images are uploaded in real-time and algorithm detection is performed); The robot later returns to the charging pile for charging; The user reviews the fault detected on the management platform.
After accepting the task, the inspection robot at the bottom of the rail transit vehicle departs from the charging pile to the corresponding lane; then it positions at the front of the car, after which it starts image acquisition (the images are uploaded in real-time and algorithm detection is performed); the robot later returns to the charging pile for charging; the user reviews the fault detected on the management platform.
Among these steps, the JAKA robot is responsible for moving the high-precision color 3D camera to a greater height; flexibly changing the pose of different robotic arms so that they can collect images of the points that cannot be collected by the top-view panoramic 2D camera (that is, the area array camera), to achieve the basic coverage of the detection points under the vehicle.
Through the cooperation of JAKA Robotics and DITT, they successfully solved the pain points of rail transit under-vehicle inspection, realized intelligent and efficient inspection, and accelerated the pace of intelligent, digital, and large-scale rail transit operation and maintenance guarantee.