This invention discloses an
environmental health analysis method and
system based on egg-laying hen farming, relating to the field of
livestock environmental monitoring technology, including methods based on NH3 concentration and VOCs. S Concentration and NO X Two-dimensional empirical
wavelet transform is performed on the concentration to calculate texture intensity,
gradient direction, and local entropy. Spatial texture features are obtained by horizontal stacking based on NH3 concentration, HRV standard deviation, and VOC. S Concentration and NO X Concentration is calculated, time-domain features are calculated, and frequency-domain features are calculated based on
heart rate and HRV standard deviation. Weighted summation yields the SPS joint features. This invention improves data dimensionality and monitoring comprehensiveness by collecting
multimodal data and calculating spatial texture features, thereby enhancing the accuracy of environmental dynamic analysis. Through SPCA
dimensionality reduction and weighted risk scoring models, it provides accurate quantitative evidence for the
environmental health status of laying hens, improving the health
management level and production efficiency of laying hen farming.