室内空气颗粒物检测方法和装置

By performing regression analysis and correction on historical data, the detection error caused by intersection in the light scattering method was resolved, thus improving the accuracy of indoor suspended particulate matter concentration detection.

CN121049119BActive Publication Date: 2026-07-17JIANGSU CHENGGONG CONSTR TECH

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
JIANGSU CHENGGONG CONSTR TECH
Filing Date
2025-08-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In existing technologies, when using light scattering to detect indoor particulate matter concentration, the accuracy of the detection results is insufficient because the intensity ranges of scattered light corresponding to different types of particulate matter overlap.

Method used

By performing regression analysis on historical scattered light intensity data and historical concentration values, the regression error coefficient and intersection influence factor are calculated. The intersection influence factor is corrected according to the change characteristics, and concentration compensation is performed when necessary to improve detection accuracy.

Benefits of technology

This reduces the impact of overlapping scattered light intensity ranges corresponding to different types of suspended particulate matter on the detection results, thus improving the accuracy of indoor suspended particulate matter concentration detection.

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Abstract

本发明涉及环境监测技术领域,为解决如何提高室内悬浮颗粒物浓度检测的准确度的问题,提供一种室内空气颗粒物检测方法和装置,方法包括:获取当前时刻检测器对室内空气中悬浮颗粒物的浓度进行检测所计算得到的当前浓度值;获取当前时刻之前的一段时间,检测器采集到的历史散射光强数据和输出的历史浓度值;对历史散射光强数据和历史浓度值进行回归分析,得到历史浓度值的回归误差系数和交集影响因子;根据历史散射光强数据的变化特性确定检测器在检测浓度时的变化误差;根据变化误差和回归误差系数对交集影响因子进行修正,得到修正后的交集影响因子;判断修正后的交集影响因子是否小于预设系数,若是,则不对当前浓度值进行补偿,否则对当前浓度值进行补偿。
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