A chemical dangerous process risk intelligent monitoring method

Abstract

The invention discloses a chemical dangerous process risk intelligent monitoring method, comprising the following steps of grouping and purifying the historical data under all chemical dangerous processes to serve as a historical process data sequence; extracting a historical risk level under a chemical risk process, carrying out feature coding on the historical risk level, training a model of a corresponding relation between a historical process data sequence and historical risk level feature coding, listing a modeling formula, and calculating a risk assessment formula; obtaining the data ofthe chemical dangerous process parameters in the actual production of the chemical industry again, and calculating the feature codes of the corresponding risk levels according to a risk assessment formula; and establishing a risk level query module, inputting the calculated feature codes into the query module, and calculating the risk level in actual chemical production. According to the invention, various risk measures are monitored in real time, the risk can be monitored in real time, the risk level can be intelligently analyzed, and the appropriate supplementary suggestion measures and thewarning information are given, so that the implementation risk of the whole project is reduced.

Description

technical field [0001] The invention relates to an intelligent monitoring method for chemically dangerous process risks. Background technique [0002] During the construction process, it is necessary to conduct risk analysis and monitoring of the dangerous processes involved in the project. Each deviation requires corresponding suggestions and implementation measures, which will reduce the risk during the project. At the same time, it is necessary to track all risks in the current project, and make it clear that the risks of all dangerous processes in the current project are acceptable. Ensure that during the project implementation process, all risk indexes are within the controllable range to ensure the normal progress of the construction. [0003] Aiming at the task content proposed above, the existing technical solutions are generally useful measures corresponding to each deviation of human analysis. After the measures are implemented, the danger level of the current ch...

AI Technical Summary

Problems solved by technology

Different projects, different nodes, and different dangerous processes may have analysis errors, so the risk controllability is low

[0005] (2) Poor real-time risk control

In the existing technology, the risk monitoring of chemical hazardous processes relies on passive manual investigation, which is easy to cause lag, delay project progress or cause uncontrollable losses

[0006] (3) The error in risk level assessment is relatively large

In the prior art, the losses and probability of occurrence caused by chemically dangerous processes are all generated after manual judgment

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