Man-machine safety anti-collision intelligent early warning system for reach stacker

Abstract

The invention relates to the technical field of reach stacker operation safety, and discloses a reach stacker man-machine safety anti-collision intelligent early warning system. The system comprises an industrial-grade high-definition camera, a pedestrian detection and recognition module, a wireless transmission module, an alarm display and a server platform. The high-definition industrial camera is installed on the side of the reach stacker to increase the coverage range, the adopted pedestrian detection and recognition module recognizes and locates pedestrians in the working area of the reach stacker in real time by applying a convolutional neural network main network, a pedestrian attention module and a zoom-in and zoom-out module, the feature recognition of small-scale pedestrians is enhanced, the background interference is obviously reduced, pedestrian detection, identification and positioning information is used as parameter input to be connected with the alarm display, the position of a pedestrian is highlighted, primary early warning and secondary early warning are carried out, the reach stacker is effectively prevented from colliding with the pedestrian, and personal casualty accidents are avoided. Compared with a reversing radar anti-collision image technology, the method is more effective, accurate and reliable, and is worthy of popularization and application.

Description

Technical field [0001] The present invention relates stacker job security technologies, and in particular to a stacker intelligent human security early warning system crash. Background technique [0002] Stacker is a large flow handling machinery for container handling, due to its flexible operation, easy to operate, good stability, high work efficiency and other characteristics of railway freight yard has been widely used. When hanging in front of the railway yard handling containers, in accordance with the requirement that aid workers must be at least 2 people. As the field worker, staff and equipment cross-shipping jobs frequently, drivers blind spot exists, the job causing poor concentration and other factors long time, causing the man-machine operation safety hazard, even personal injury accidents. Currently, Stacker mainly reversing radar anti-collision management, but only reversing radar shadow, like, can not distinguish between persons and objects can not be calibrated h...

AI Technical Summary

Problems solved by technology

Due to the frequent cross-operation of on-site operators, freight personnel and equipment, drivers have blind spots in their vision and lack of concentration caused by long-term operations, which cause hidden dangers in human-machine operation safety, and even personal injury and death accidents

At present, the front stacker mainly uses the reversing radar for collision avoidance management, but the reversing radar only provides images, cannot distinguish between people and objects, cannot demarcate dangerous areas, and does not have the warning function of personnel intrusion

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