Aimed at multi-variable coupled piggery environment

a method which combines self-adaptive weighting algorithm with D-S evidential reasoning algorithm is used.A distributed multi-sensor architecture and two-level fusion model for piggery environment monitoring is presented.This method of fusing temperature

humidity and light intensity from different sensors overcomes uncertainty and instability from single-sensor and enhances multi-sensor information system’s fault-tolerance and robustness.The result indicates that this method improves the accuracy of the detection of piggery environment.