Study On Monitoring,analysis And Tracing Of Exhaust Gas Pollution In The Industrial Park

Environmental protection has become the important link and crucial task of the sustainable development for our country.Industrial parks,as the gathering place of industrial production enterprises and the starters of industrial development at all levels,have undertaken important tasks to promote scientific and technological progress and economic development.Many industrial parks have achieved certain economic benefits.However,there are many enterprises of the industrial park which are in the different stages of the industrial chain,and the composition of the atmospheric pollutants is complex,which not only directly affects the environment level of the park,but also affects the air environment in the area or even the whole city.How to manage the waste gas pollution accurately and intelligently has become the focus of environmental control and even urban environmental protection.The main tasks of the thesis are as follows:1.The structure of the industrial park comprehensive environmental monitoring system is designed based on the characteristics of the Internet of things,and the function of the system is determined;2.In view of the difficult practical problems in the internal monitoring of enterprises,the solution of the internal monitoring blind area data through the enterprise boundary monitoring is proposed,and an analysis and prediction model for the blind area of exhaust gas monitoring is proposed based on the BP-RBF combined neural network.The proposed method is simulated by using the actual monitoring SO₂ data of the industrial park;3.A reasoning method for tracing the source of exhaust gas pollution based on case-based reasoning（CBR）is proposed.By building a general ontology model of exhaust gas trace ability,the case is presented.And in the process of case retrieval and matching,a complex network dynamic correlation characteristic model is proposed.The concept of the contribution degree of the traceability factor is defined and the rate is determined,and the intuitionistic fuzzy rough set algorithm is used to calculate the similarity degree to find the best matching case.The result of experiment verifies the accuracy and feasibility of the method.4.A simple design and implementation of the Industrial Park exhaust pollution monitoring and management subsystem is designed and achieved on the basis of demand analysis.