Intelligent factory supervision method

Abstract

The invention relates to an intelligent factory supervision method, and the method comprises the steps: carrying out the classification of workers according to the organization structure or professional posts of an enterprise, and achieving the recognition of employees, outdoor workers and visitors when the pepole enter a factory; carrying out human face recognition through machine vision, and then counting attendance information of employees; detecting on-duty, off-duty and off-duty conditions of the employees and recording corresponding time through machine vision; carrying out detection anddata statistics on good products and inferior-quality products in the products through machine vision, and meanwhile, carrying out calculation to obtain productivity data; detecting violation behaviors of personnel in a plant area through machine vision; and carrying out positioning detection on the real-time position of each person in the factory. The intelligent factory supervision method is high in intelligent degree, high in supervision efficiency, low in labor cost, unified in data standard and low in management difficulty, and can timely discover various problems existing in the factoryoperation process so as to conveniently and timely eliminate various hidden dangers and improve the safety of various aspects of production.

Description

technical field [0001] The invention relates to an intelligent factory supervision method. Background technique [0002] At present, the revolutionary breakthroughs and cross-integration of information technology, new energy, new materials, biotechnology and other important fields and cutting-edge directions are triggering a new round of industrial transformation, which will have a subversive impact on the safe production of enterprises and change the status of factories. management structure. In particular, the deep integration of new-generation information technology and manufacturing will promote profound changes in manufacturing models, production organization methods, and industrial forms. Technologies such as artificial intelligence and big data will reconstruct the technical system of enterprise safety management; with the strong support of ubiquitous information such as the Internet, Internet of Things, cloud computing, and big data, smart factories will become the ...

AI Technical Summary

Problems solved by technology

If there is no overall design, remote branch factories will have a set of standards for each factory, and it will be difficult to reverse it once it gets out of control

For example: N factories have established N sets of solutions, which are independent of each other, which will continue to generate problems such as data islands, hat chimney development, research and formulation of various solutions, and difficulty in aggregating non-standard data.

The final result is that it cannot be managed in a unified manner, cannot obtain real-time on-site real information, and cannot obtain real data

The data among various factories are inconsistent, mismatched, and not integrated, and even the final summary data is difficult to achieve

3. Large human investment in supervision

When the production line is small, human monitoring can barely cope with it. With the expansion of the production line, the management method relying on human monitoring will cause manpower shortage and monitoring is not in place; when the production line reaches the order of 100, the management of human monitoring way is impossible to implement

Even if each production line can be guaranteed to be monitored by a dedicated person, this has caused the problem of inability to coordinate efficiently, and it also generates a lot of communication costs

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