Production line error correction auxiliary system and method based on edge gateway

Abstract

The invention relates to a production line error correction auxiliary system and method based on an edge gateway, and the method comprises the steps: collecting the movement of a production line operator and the time from the arrival of a product on a production line to the departure of the product from the production line operator in real time through a real-time video monitoring camera, and connecting the product with the edge gateway through the Ethernet; the edge gateway receiving the video data stream, firstly preprocessing the video data, converting the format of the video data into a predetermined video format, then performing image detection, performing feature point extraction in an image, and uploading an extraction result to the cloud video monitoring analysis server through wifi; after intelligent judgment is carried out at the cloud, the edge gateway sending an action instruction to the actuator according to a result, the display reminding module being activated, and achieving a series of display actions such as reminding and alarming. Compared with the prior art, the method has the advantages that the problem of action of an operator can be found in time, and labor hour waste caused by unnecessary action is reduced.

Description

technical field [0001] The invention relates to the technical field of automated production, in particular to an edge gateway-based production line error correction auxiliary system and method. Background technique [0002] In the field of automated production, front-line operators usually need to undergo complicated pre-job training after joining the job. The training process or effect needs to be verified in actual production. At present, the traditional way is for old employees to explain the production process and key points of operation. New Employees operate according to the requirements of SOP and the guidance of old employees. However, the current one-to-one guidance method is inefficient, consumes a long time, and cannot give timely feedback and correct the operation of new employees, and cannot achieve good educational effects. Once the new employee moves abnormally, it will inevitably cause a certain degree of waste of factory resources. Contents of the inventio...

AI Technical Summary

Problems solved by technology

[0002] In the field of automated production, front-line operators usually need to undergo complicated pre-job training after joining the job. The training process or effect needs to be verified in actual production. At present, the traditional way is for old employees to explain the production process and key points of operation. New Employees operate according to the requirements of SOP and the guidance of old employees. However, the current one-to-one guidance method is inefficient, consumes a long time, and cannot give timely feedback and correct the operation of new employees, and cannot achieve good educational effects.

Once the new employee moves abnormally, it will inevitably cause a certain degree of waste of factory resources

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