Shore crane safety operation control method and system based on AI and vision combination

Abstract

The invention discloses a quay crane safety operation control method based on AI and vision combination, which comprises the following steps: when a quay crane starts operation, identifying a target lifted by a lifting appliance in real time; when the identified target is a hatch cover plate, the input model identifies the category and position information of the hatch cover plate, a projection dangerous area is calculated, and a personnel and container truck identification function is started; when the identified target is a container, the position information is identified, the projection dangerous area is calculated, and a vehicle head pressing prevention identification function is started; when it is recognized that personnel exist in the projection dangerous area of the hatch cover plate on the ground, and the projection dangerous area of the container truck or the container on the ground is overlapped with a truck head, the motion state of the lifting appliance is actively controlled, the lifting appliance stops sea-land movement and stops descending action, and a driver of the container truck is informed through a voice device; the method provided by the invention is a protection method which is higher in real-time performance, better in accuracy and better in control performance, improves the safety performance of field operation of the quay crane, and reduces the workload of a driver.

Description

technical field [0001] The invention relates to the field of quay crane operations, in particular to a method and system for controlling safe operation of quay cranes based on the combination of AI and vision. Background technique [0002] The hatch cover and the anti-pressure head are an essential identification task for the safety protection of the quayside crane operation. The traditional method of judging the lifting of the hatch cover is through the visual identification of the quay crane driver, while the quay crane driver is more focused on controlling the bridge crane equipment to grab and release the boxes, and can no longer check in real time whether there are people and people in the dangerous area on the ground. In the case of truck collection, there is a risk that the information will not be delivered in time or that dangerous information will not be delivered. [0003] Collector trucks are currently the main means of transportation for transporting containers ...

AI Technical Summary

Problems solved by technology

When the quay crane is working, the driver is concentrating on grabbing and unloading the boxes, which is easy to cause fatigue. If the truck head is under the spreader and the driver does not find it in time, it is easy to cause the front of the truck to be crushed.

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