Chemical risk evaluation method based on semi-quantitative calculation

Abstract

The invention belongs to the technical field of data analysis, and particularly relates to a chemical risk evaluation method based on semi-quantitative calculation, which comprises the following steps: step 1, making a grade according to three factors influencing the chemical risk; step 2, endowing quantity values on the basis of a system method and enterprise experience according to the three factors; step 3, analyzing risk to acquire main risk events of chemical risks; step 4, calculating a risk value; and step 5, evaluating the grade of the risk according to the risk value. In the file of the invention, a semi-quantitative calculation method is adopted to calculate and evaluate the chemical risk, so that compared with calculation by adopting big data in the prior art, the calculation steps are reduced, and the risk evaluation purpose can be realized only by setting the grade according to the risk; and authenticity of data is improved.

Description

technical field [0001] The invention relates to the technical field of data analysis, in particular to a chemical industry risk assessment method based on semi-quantitative calculation. Background technique [0002] Semi-quantitative is a method of RT-PCR for gene expression analysis. The method of operation is to use a housekeeping gene (usually actin) as a reference standard in the wild type and mutants to observe the expression of the target gene in each ( Up-regulation or down-regulation), the so-called semi-quantitative "semi" is a popular saying, that is, to determine the expression of the target gene under the condition that the estimated reference brightness of the electropherogram is consistent (it can be regarded as the same number of expressed cells); this is the same as More accurate distinction between relative quantification and absolute quantification of Q-PCR, semi-quantitative analysis is usually a compromise method taken when it is very difficult to achieve...

AI Technical Summary

Problems solved by technology

[0003] In the chemical industry, in the face of different materials and their characteristics, risk assessment needs to be carried out. However, because the characteristics of each material are different, and the data on the damage to the human body caused by each material when in contact with it is not clear, it is necessary to carry out risk assessment. Evaluation, the risk assessment for the chemical industry is to use big data to calculate data, and then obtain risk assessment data through the data. The authenticity of the data obtained in this way is poor, which is not conducive to future data processing and comparison operations.

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