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Method for predicating dynamic changes of indoor PM2.5 concentration

A PM2.5, dynamic change technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of predicting the change trend of indoor particulate matter concentration, high detection cost, poor real-time performance, etc., to predict indoor particulate matter concentration. Variation, low detection cost, high precision effect

Inactive Publication Date: 2015-04-29
ANHUI UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0007] The purpose of the present invention is to overcome existing indoor particle concentration detection: 1) detection cost is high, precision is low, real-time performance is poor; 2) can not predict indoor particle concentration variation trend according to the outdoor concentration value that detects, formulate optimal indoor ventilation plan Insufficiency of the problem, provides a kind of method for predicting the dynamic change of indoor PM2.5 concentration; The present invention establishes the Simulink dynamic simulation model according to indoor PM2. It is also possible to study the influence of relevant parameters on the change of indoor particle concentration, which is convenient for formulating a scientific and reasonable indoor ventilation plan; in addition, the change trend of indoor particle concentration can be intuitively displayed through the simulation result curve, achieving the effect of visual prediction of indoor particle concentration

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  • Method for predicating dynamic changes of indoor PM2.5 concentration
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  • Method for predicating dynamic changes of indoor PM2.5 concentration

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Embodiment 1

[0033] see figure 1 , a method for predicting the dynamic change of indoor PM2.5 concentration in this embodiment involves HVAC air-conditioning system and at least one indoor area, assuming that all the air supply volume enters the room through the HVAC air-conditioning system, ignoring the air infiltrated by the enclosure structure ( It is assumed here that the accuracy of the Simulink simulation model built can be guaranteed. Although air infiltration in buildings is inevitable, it can be ignored because the amount of air infiltration is very small). figure 1 Medium supply air volume Q includes return air volume Q r and fresh air volume Q a , V is the indoor volume of the building, c is the concentration of indoor particulate matter, c a is the fresh air particle concentration (that is, the outdoor particle concentration), and the fresh air ratio m=Q a / Q, p is the penetration efficiency of the filter in the air conditioning system.

[0034] In this embodiment, firstly,...

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Abstract

The invention discloses a method for predicating dynamic changes of indoor PM2.5 concentration and belongs to the technical field of monitoring of particle concentration. The method comprises the following steps: 1 establishing a Simulink dynamic simulation model; 2 detecting indoor particle PM2.5 concentration, outdoor particle PM2.5 concentration, and fresh air volume and air returning volume of an air conditioning system, and calculating a fresh air ratio and an air exchange frequency; 3 inputting obtained parameters into the dynamic simulation model, and obtaining indoor particle PM2.5 concentration changing data according to actual detection data; 4 controlling the change of a certain input parameter in the dynamic simulation model and keeping other parameters unchanged; obtaining indoor particle PM2.5 concentration changing data according to a theoretical set value; and 5 analyzing and comparing the data obtained in the step 3 and the step 4 and formulating an optimal indoor ventilation scheme. The detection scheme has a reasonable design, the detection cost is low and the precision is high; the aim of predicating the change of the indoor particle concentration can be realized and the instantaneity is good.

Description

technical field [0001] The invention relates to the technical field of indoor particle concentration monitoring, and more specifically, relates to a method for predicting the dynamic change of indoor PM2.5 concentration. Background technique [0002] With the advancement of my country's industrialization, a large number of harmful substances are discharged into the air, causing outdoor air pollution. Among them, suspended dust particles (PM2.5) with a diameter of less than or equal to 2.5 microns pose a great threat to human health and are easily accumulated in the deep lungs. Outdoor air pollution directly affects the quality of the indoor environment. If we can monitor the concentration of outdoor particulate matter in time, grasp the changing trend of indoor particulate matter concentration, formulate a suitable indoor ventilation plan, and control the indoor particulate matter concentration within a reasonable range, it will have a positive effect on ensuring human healt...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 钱付平吴显庆黄乃金江中鲁进利韩云龙
Owner ANHUI UNIVERSITY OF TECHNOLOGY
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