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A chemical dangerous process risk intelligent monitoring method

A risk-intelligent and dangerous technology, applied in the field of intelligent risk monitoring of chemical hazardous processes, can solve the problems of manual inspection of chemical hazardous processes, large error in risk level assessment, and poor real-time risk control, so as to reduce implementation risks, improve efficiency, and reliable risks Evaluate the effectiveness of the program

Active Publication Date: 2019-05-17
浙江省天正设计工程有限公司
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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

Method used

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  • A chemical dangerous process risk intelligent monitoring method
  • A chemical dangerous process risk intelligent monitoring method
  • A chemical dangerous process risk intelligent monitoring method

Examples

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Embodiment 1

[0029] Example 1 An intelligent monitoring method for chemically dangerous process risks:

[0030] Acquire the historical data of all chemically hazardous process parameters in chemical production, and group the acquired data according to the type of chemically hazardous process. Group temperature data and a group of pressure data, use the K-means clustering algorithm on the grouped data to eliminate outlier data that deviates from the center of the cluster, and complete data purification. The main purpose of this step is to remove the artificial data in the training data. Error data, that is, complete the purification of the acquired data, as a sequence of historical process data.

[0031] Then carry out mathematical modeling: using the SVM training method, the principle is: through the training process, the intrinsic feature modeling of a large amount of data is realized, that is, a large number of inputs with known risk levels are obtained, and a set of vectors wi is obtain...

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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...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
Inventor 舒伟杰华雷马家驹章垆斌金玉宏
Owner 浙江省天正设计工程有限公司
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