Real-time early warning method and device based on AIOT and enterprise safety index

Abstract

The invention relates to a real-time early warning method and device based on AIOT and an enterprise safety index; the method comprises the steps: obtaining the distribution image data of goods on a storage shelf, calculating the uniformity of the goods, calculating the shaking degree of the goods, and calculating the instability of the goods according to the obtained shaking degree of the goods at different moments; then acquiring the danger degree distribution of all the goods on the goods shelf by combining the uniformity of the goods; processing the danger degree distribution of the goods to obtain danger sources and association weights among the different danger sources; calculating the danger level of the goods on the current shelf in combination with the working danger level of the working vehicle; acquiring the final goods shelf danger degree in combination with the goods shelf accident degree, and performing real-time alarming on operation vehicles surrounding the goods shelf. According to the invention, serious consequences caused by domino effect or superposition of risk factors at different moments and in different places can be found, and the risk early warning capability is stronger and more reliable.

Description

technical field [0001] The invention relates to the field of artificial intelligence Internet of Things, in particular to a real-time early warning method and device based on AIOT and enterprise safety index. Background technique [0002] With the development of social economy, enterprise safety is very important; for example, the safety of enterprise internal management system, enterprise internal storage shelves, etc., taking the safety of enterprise internal storage shelves as an example, the weight of the goods carried by the shelves exceeds the design load, or the shelf Tilting, or racking caused by the impact of other mobile operating equipment, goods or operating vehicles, will pose a threat to the safety of the goods stored on it or the warehouse workers. Therefore, it is necessary to warn the safety of the internal storage shelves of the enterprise, remind the storage operators to take countermeasures, and improve the security of the enterprise's storage. [0003] ...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a real-time early warning method and device based on AIOT and enterprise security index to solve the problem in the prior art that it is impossible to prepare and finely carry out security early warning of enterprise internal storage security

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