Method for judging treatment state of catering oil fume treatment equipment based on LWRT-GSDE algorithm

Abstract

The invention discloses a method for judging treatment state of catering oil fume treatment equipment based on a LWRT-GSDE algorithm. The method comprises the following steps: (S1) calculating a general time interval of a monitoring point position according to backtracking time to form a time slice; (S2) finding out data of monitoring factors in the concentration monitoring equipment, the fan and the purifier in the time slice from the OD; (S3) judging whether the obtained data of the monitoring factor is empty or not, and if so, marking as missing; otherwise, obtaining hour data, screening the minute, and carrying out key factor statistical calculation; and (S4) the key factors comprising whether the catering oil fume treatment equipment is stopped, whether the oil fume concentration is over-alarmed in the time slice and whether the concentration of the purifier exceeds the upper limit. The judgment parameters of the key factors comprise the maximum concentration, the minimum concentration, the average lampblack concentration of the purifier and the non-average lampblack concentration of the purifier, and the judgment method of the catering lampblack treatment equipment is judged according to the judgment parameters.

Description

technical field [0001] The invention relates to a method for judging the operating state of equipment, in particular to a method for judging the treatment state of cooking fume control equipment based on the LWRT-GSDE algorithm. Background technique [0002] The traditional online monitoring platform based on electrochemical monitoring can only reflect the air quality status of the site in real time, and cannot form effective decision-making suggestions, nor can it confirm the operation status of the on-site treatment facilities, let alone provide the emission status of enterprises. [0003] The algorithm formed by the method of the traditional online automatic monitoring and management system for catering cooking fumes is bound to the background logic code, which is highly coupled and does not have reusability; and when the requirements change, the back-end code will change. It will affect the algorithm code, so it is necessary to modify the code, and the compatibility and ...

AI Technical Summary

Problems solved by technology

[0002] The traditional online monitoring platform based on electrochemical monitoring can only reflect the air quality status of the site in real time, and cannot form effective decision-making suggestions, nor can it confirm the operation status of the on-site treatment facilities, let alone provide the emission status of enterprises.

[0003] The algorithm formed by the method of the traditional online automatic monitoring and management system for catering cooking fumes is bound to the background logic code, which is highly coupled and does not have reusability; and when the requirements change, the back-end code will change. It will affect the algorithm code, so it is necessary to modify the code, and the compatibility and robustness of the code cannot be achieved. The traditional online monitoring platform based on electrochemical monitoring only reflects the air quality status of the site in real time and cannot form It is the linkage between the algorithms, let alone the company's emissions