Authors

Abstract

To address the issues of low precision and high cost in pig house environmental monitoring, an Internet of Things (IoT)-based pig house environmental monitoring system is proposed in this study. The system utilizes ESP32 as the main control chip of each sensor node, which is constructed in a star topology structure, realizing data transmission by using wireless communication technology. By incorporating the median filtering function and the Kalman filtering algorithm to perform data fusion of the same type of environmental parameters, the accuracy of the data is ensured. Based on the environmental suitability requirements of pigs, an evaluation index system for pig house environmental suitability is established, and comprehensive weight calculations are carried out by combining the entropy weight method and the improved analytic hierarchy process. Simulation experimental results demonstrate that the error of the temperature data after Kalman filtering fusion is merely 0.12%, fulfilling the monitoring accuracy requirements. The system can precisely evaluate the environmental suitability of pig houses, and it is applicable for monitoring pig house environments.

Abstract in Chinese

为解决猪舍环境监测精度低和成本高等问题，本研究提出了一种基于物联网的猪舍环境监测系统。系统采用ESP32作为各传感器节点的主控芯片，并通过星型拓扑结构搭建，利用无线通信技术实现数据传输。通过引入中值滤波函数和卡尔曼滤波算法对同类型的环境参数进行数据融合，确保数据准确性。基于猪只对环境的适宜度要求，构建了猪舍环境适宜度评价指标体系，并结合熵权法与改进层次分析法进行综合权重计算。仿真实验结果表明，经过卡尔曼滤波融合后的温度数据误差仅为0.12%，满足监测精度要求。系统能够准确评价猪舍环境适宜度，适用于猪舍环境监测。