Research On The Indoor Multi-pollution Identification Of Residential Buildings In The Cold And Severe Cold Areas

In winter,the residential buildings in cold and cold areas are closed for a long time.People spend most of their time indoors.Therefore,the quality of indoor air is of crucial importance to people's health.From the source to control the emission of pollution can effectively solve the indoor air quality problems.Most of the research on gaseous source identification focuses on single source identification.However,in the actual situation,indoor pollution sources can not be single,and the conventional gas source identification rarely considers the existence of multiple pollution sources.In this thesis,the residential buildings in cold and cold areas as the research object,identify the indoor multiple pollution sources,mainly through theoretical analysis,numerical simulation and simulation program to identify multiple sources of pollution,provide indoor air quality for residential buildings Protection.First of all,in the modeling and pretreatment stage of multi-pollution sources,Airpak software is mainly used to model and simulate indoor pollutant emission process.Secondly,the source identification index calculation phase,the main source of Matlab to identify the calculation of indicators,not only can improve the calculation rate but also increase the accuracy of the calculation results.In the multi-pollution identification phase,the article identifies two or three sources as examples.Firstly,the Pearson correlation coefficient is proposed as an indicator of multi-pollution source identification,and the correctness of Pearson correlation coefficient is verified by the control variable method.In order to study the influence of indoor air velocity change on the identification of multiple pollution sources,the simulation model is divided into four simulation conditions.In this paper,the classical probability method is used to identify the indoor pollution sources.The results of source identification are based on the predicted locations of pollution sources Occurrence of the form of probability.Sensor placement plays a crucial role in source identification.In order to get the best location for indoor sensor placement,a total of fifteen sensors of different orientations are located in this paper.Through the analysis and summary of the scores of fifteen sensors under different working conditions,the optimal arrangement of the sensor is obtained.Based on the identification of multiple pollution sources,the intensity information disseminated by the pollution sources can be used to effectively evaluate the diffusion scope and hazard degree of multiple pollution sources,so as to facilitate researchers to formulate a reasonable and effective control strategy for ventilation or other pollutants.In practice,under the premise of accurate result of location of source of pollution,the source intensities of a certain group of sources and the slope k of the regression equation are known for the two groups of sources with high linear correlation.The source intensities of the other sources Can be derived from the source of strong relations.According to the identification results of double pollution sources under the four operating conditions,the identification rate of sensor ? reaches the highest when ? = 200s,? = 160s,?=140s and ?= 120s respectively,and the identification results reach more than 90%.When identifying three pollution sources indoors,the sensor identification score reaches the highest when ? = 220s,? = 180s,?= 120 and ? = 100s,respectively.Therefore,with the reduction of indoor air speed,source identification of the shorter time.The best orientation of the sensor is near the air return port,followed by the air intake port.Since the model adopts the air supply method of sending the air back and forth on the opposite side,vortexes are generated in the middle of the room to cause the disorderly arrangement of pollutants.Five middle positions The sensor score rates are between 70%-85%,scoring rate is low,so the middle position is not suitable for the deployment of sensors.The study also found that the accuracy of multi-source identification also has an impact on source identification,and there is a big difference between calculated source distribution and actual source distribution when multi-pollution identification is inaccurate.The research results of this project will provide an effective mathematical model and basic data for indoor multi-pollution emission research,and provide technical support and theoretical basis for indoor air quality control of residential buildings.