An intelligent control method for workshop air purification based on environmental data

By analyzing the gas concentration data sequence in the fresh meat processing workshop, the ventilation power was adaptively adjusted, solving the problem of untimely adjustment of the air purification system. This achieved efficient air purification and low-power air control, ensuring the quality of fresh meat and the health of workers.

CN122041327BActive Publication Date: 2026-07-03SHAANXI ZHONGSHENG AGRI INVESTMENT IND DEV CO LTD
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Patent Information

Application Number
CN202610492354.5
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-15
Publication Date
2026-07-03
Estimated Expiration
2046-04-15

AI Technical Summary

Technical Problem

In existing technologies, the air purification system in fresh meat processing workshops does not adjust in time when the concentration of polluting gases in the air reaches a threshold, resulting in a decline in fresh meat quality and an increase in the power consumption of the ventilation system. It is also impossible to determine a suitable fixed threshold, which affects the air purification efficiency.

Method used

By analyzing the gas concentration data sequence in the workshop, the upward trend point, inflection point and concentration change characteristics are obtained, and the ventilation power is adaptively adjusted. The preset concentration abnormality threshold is dynamically adjusted according to the degree of air pollution risk, so as to achieve adaptive threshold control.

Benefits of technology

It improved the accuracy and efficiency of air purification, reduced the power consumption of the ventilation system, and ensured the quality of fresh meat and the health of workers.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to the field of data monitoring technology, specifically to an intelligent control method for workshop air purification based on environmental data. The method involves: obtaining upward trend points and concentration inflection points based on changes in concentration data sequences; identifying concentration rise periods and concentration fall periods based on the distribution characteristics of concentration inflection points; identifying suspected abnormal data points based on the differences in the trends of concentration rise and fall periods and the local data differences at the upward trend points; determining the air pollution risk level based on the quantity, interval, and concentration change characteristics of the suspected abnormal data points; and adaptively adjusting a preset concentration anomaly threshold based on the air pollution risk level to obtain an adaptive threshold. This invention adjusts ventilation power based on the adaptive threshold, thereby reducing the power consumption of the air ventilation system while improving the efficiency of air purification in the workshop.
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Citation Information

Patent Citations

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