Research On Energy-saving Diagnosis Method Of Air-conditioning System In Large Public Buildings Based On Engineering Practice

In recent years,the development trend of public buildings in China is that the grade of public buildings is getting higher and higher,the functions are getting more and more complex,and the proportion of high energy consumption buildings in new buildings is getting higher and higher.As the largest proportion of building energy consumption,the hv AC system in public buildings lacks effective regulation means in the actual operation.At present for the public building energy efficiency diagnosis research mainly from two point of view,respectively,based on expert knowledge and based on data mining,but most of the research work is only from one perspective,will be very carefully to promote energy-saving diagnosis work,too much work but it will often cause test or diagnostic methods are too complex,diagnostic methods,application scope is limited.Therefore,based on the diagnosis of energy conservation in public buildings based on expert knowledge and the diagnosis of energy conservation in public buildings based on data mining,this paper summarizes the research done by domestic and foreign scholars,and proposes the diagnosis method of energy conservation in large public buildings based on operation evaluation and operation data mining of comprehensive air conditioning system.Then,the contents and methods of field measurement required for manual diagnosis of the system were carefully adjusted,and the evaluation indexes were divided into limiting indexes and non-limiting indexes.The evaluation index system for manual diagnosis was innovatively proposed,and the calculation method and evaluation analysis method for each index were also proposed.Then applicable to the air conditioning system energy saving diagnosis data preprocessing method,and based on data mining of the air conditioning system run diagnostic framework,run diagnostic is divided into early diagnosis and secondary two steps,respectively is based on the k means clustering and frequent operation mode,on the basis of early diagnosis is designed to find the same working condition,the secondary diagnosis to analysis under the same condition of energy-using equipment operation mode,and gives the corresponding recommend running mode;Finally through an actual case,the public building air conditioning diagnosis method has carried on the trial operation,using artificial diagnosis method on the target of building air conditioning system equipment performance and management status are analyzed,using the algorithm of diagnostic method for air conditioning system operation,for abnormal results are analyzed,and through the related algorithm to get the recommended operating mode,verify the rationality and feasibility of the proposed method.