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Research and Implementation of Intelligent Monitoring and Evaluation System for Farm Animals Breeding Environment

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Abstract

A remote monitoring system based on Internet of Things (IoT) was designed to accurately evaluate the environment conditions of fattening pig sheds. The system consists of three layers. The sensor layer is based on PLC, and the internal environmental parameters (temperature, humidity and concentration of harmful gases) are detected by screen. The transmission layer adopts GPRS to realize remote data transmission. The application layer adopts Visual Studio to develop upper computer server software and Android mobile phone client to remotely monitor the piggery environment. The fuzzy comprehensive evaluation model of piggery was established, the evaluation standard of environmental suitability of piggery was established, the weight of evaluation factors was determined by fuzzy analytic hierarchy process (AHP), and the fitness grade of piggery environment was judged by fuzzy comprehensive evaluation using PI function as membership function. Based on the actual environmental data collected, the comprehensive evaluation of the degree of adaptation is carried out, and the evaluation results reflect the real situation of the pig house environment.

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Funding

This work is supported partially by the Special Guidance Foundation for Agricultural Science of Yancheng City, China under Grant no. YKN2015024 and the Six Talent Peaks Project in Jiangsu Province, China under Grant no. 2015-XNYQC-006.

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Authors and Affiliations

  1. School of Electrical Engineering, Yancheng institute of technology, 224003, Yancheng, Jiangsu, China

    Hanhua Yang

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  1. Hanhua Yang
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Correspondence to Hanhua Yang.

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Hanhua Yang Research and Implementation of Intelligent Monitoring and Evaluation System for Farm Animals Breeding Environment. Aut. Control Comp. Sci. 57, 355–363 (2023). https://doi.org/10.3103/S0146411623040090

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