Air Environment Monitoring And Evaluation Of Pig Farming Based On Data Fusion And Healthy Farming Management

China is a large pig breeding country.The environment of the pig house directly affects the growth and breeding of pigs.A good environment is conducive to pig growth and fattening.At the same time,it can effectively prevent the infection and spread of disease,and thus improve pork production to increase economic efficiency.Therefore,timely and accurately control of air environment status of pig barn is the key to realize intelligent feeding.In this paper,the following research work is carried out based on data fusion techniques,combined with computer technology,applied to specific scenarios of air environment monitoring in pig houses.1)Having examined the problem of classical DS evidence theory’s inability to fuse highly conflicting evidence.This paper proposes new ideas for improving the DS theory of evidence.By using the consistency and conflict information of the evidence,the credibility of the evidence is used as a weight allocation factor,reducing the influence of low credibility evidence on the fusion results and improving the accuracy of the fusion.Highly conflicting evidence case experiment was analyzed and their results showed that this paper’s improved method not only enables information fusion for highly conflicting evidence,but also effectively uses the correlational information between the evidence to more objectively reflect the credibility of the evidence.2)A two-level data fusion model is established and the optimal weighting algorithm and the improved DS evidence theory are selected as the core algorithms for local and global fusion.In local fusion,the valid data is filtered by defining the best fusion set,and the data-level fusion results are obtained using an optimal weighting algorithm for weight assignment.In global fusion,the basic probability assignment function is determined by calculating the fuzzy affiliation,and decision-level fusion results are obtained using an improved DS evidence theory.The two-level data fusion model is applied to the air environment factor monitoring of pig barn to evaluate the internal environmental conditions of pig houses and suggest corresponding regulation.3)Designed a pig health farming system developed in C#.It contains several modules such as real-time monitoring of pig barn air environment,data processing and feed information management,providing data and technical support for healthy pig breeding and management.