Group vision machine assisted assembly method and model system

Abstract

A group vision machine assisted assembly method comprises a control platform, a vision robot work station and a wireless module for communicating the control platform and the vision robot work station; the control platform calculates the number and type of required elements and the number of intelligent vision robots in operation according to the information of an entered order, and dynamically adjusts the number of the intelligent vision robots operating at different modules according to actual operating condition. The invention also provides a model system of the method. By using intelligent vision robots to operate collaboratively, it is possible to plan work according to order information and make corresponding programs according to different needs, changing hardware structure or adding a sensor is not required, the sensitivity is high, and the multi-variety small-lot production mode can be satisfied; since a visual sensor is used, the working procedure can be simplified, independent work is available, independent maintenance may be carried out in case of a fault, operation of the whole system is not affected, the robustness is good, production efficiency is improved greatly, production equipment input is saved, and used space is also saved.

Description

technical field [0001] The invention belongs to the technical field of industrial automatic control, and in particular relates to a group vision machine cooperative assembly method and a model system. Background technique [0002] With the rapid development of the economy, the competition has become more intense, the cycle of product replacement has been gradually shortened, and the demand for multi-variety and small-batch production models has become increasingly strong, which has attracted more attention to intelligent automated production lines. At present, although many automated production lines can complete tasks well, the cost is high, and they can only complete a single job. Complex processes require multiple robots to work sequentially. Once any link in the middle fails, the entire system will be paralyzed and the production efficiency will be low. , covers a large area and costs high, and requires a variety of sensors to cooperate to complete the recognition work. ...

AI Technical Summary

Problems solved by technology

At present, although many automated production lines can complete tasks well, they are costly and can only complete a single job. Complex processes require multiple robots to work sequentially. Once a link in the middle fails, the entire system will be paralyzed and the production efficiency will be low. , covers a large area and costs high, and requires a variety of sensors to cooperate to complete the recognition work. When the production object changes, the hardware needs to be replaced, which increases the cost. Therefore, the flexibility is poor, and it is difficult to adapt to the production mode of multiple varieties and small batches.

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