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 enterprise safety index, which calculates the orderliness of the goods and the shaking degree of the goods by acquiring the distribution image data of the goods on the storage shelf, and according to the acquired goods at different times The shaking degree calculates the instability of the goods, and then combines the orderliness of the goods to obtain the distribution of the degree of danger of all goods on the shelf, and processes the distribution of the degree of danger of the goods to obtain the source of danger and the correlation weight between different sources of danger. Combined with the working danger level of the working vehicles, calculate the dangerous level of the current shelf goods, and combine the shelf accident level to get the final shelf dangerous level, and give real-time alarm to the working vehicles around the shelf. The invention can discover the serious consequences caused by the domino effect or superposition of risk factors at different times and in different places, and the risk early warning ability 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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