Study on Application of Multi-source Data Fusion Method in Environmental Control of Enclosed Layer House

The health and laying performance of laying hens are seriously affected by the environment of enclosed layer house. At present, the environmental control system is generally based on single environmental parameters. The interaction among multiple environmental factors has not been comprehensively analyzed, which is difficult to meet the requirements of laying hens' healthy breeding. Therefore, the adaptive weighted fusion algorithm and multi-source data fusion technology were introduced into the environmental monitoring system of enclosed layer house. Firstly, the same kind of data collected by the key environmental monitoring sensors of enclosed layer house are calculated by using group adaptive fusion algorithm. Then, combined with a multi-source data fusion algorithm D-S evidence theory algorithm, the influence of the interaction of environmental parameters is analyzed, so as to improve the accuracy of environmental quality evaluation of layer house. Experiments showed that the application of multi-source data fusion algorithm in layer house environment regulation can provide decision-making results and scientific basis for accurate regulation of layer house environment, which has broad application prospects.