Skip to main content
Top
Published in: Automatic Control and Computer Sciences 4/2023

01-08-2023

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

Author: Hanhua Yang

Published in: Automatic Control and Computer Sciences | Issue 4/2023

Login to get access

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.
Literature
2.
go back to reference Chen, L., Zhou, X., Chen, H.L., et al., Design of monitoring system based on IoT for pig growth environment, Comput. Meas. Control, 2019, vol. 27, no. 12, pp. 102–105. Chen, L., Zhou, X., Chen, H.L., et al., Design of monitoring system based on IoT for pig growth environment, Comput. Meas. Control, 2019, vol. 27, no. 12, pp. 102–105.
3.
go back to reference Zeng, Z.X., Dong, B., Lv, E.L., et al., Design and experiment of wireless multi-point and multi-source remote monitoring system for pig house environment, Trans. Chin. Soc. Agric. Mach., 2020, vol. 51, no. 2, pp. 332–391. Zeng, Z.X., Dong, B., Lv, E.L., et al., Design and experiment of wireless multi-point and multi-source remote monitoring system for pig house environment, Trans. Chin. Soc. Agric. Mach., 2020, vol. 51, no. 2, pp. 332–391.
4.
go back to reference Liu, Y.C., Wu, J.H., Xu, J., et al., Intelligent monitoring system of piggery air quality based on robot, Acta Ecologiae Anim. Domastiei, 2018, vol. 39, no. 8, pp. 65–71. Liu, Y.C., Wu, J.H., Xu, J., et al., Intelligent monitoring system of piggery air quality based on robot, Acta Ecologiae Anim. Domastiei, 2018, vol. 39, no. 8, pp. 65–71.
5.
go back to reference Feng, J., Lin, S., Wang, P.Y., et al., Piggery temperature and humidity control system based on adaptive fuzzy PID control, J. Northeast Agric. Univ., 2018, vol. 49, no. 2, pp. 73–86. Feng, J., Lin, S., Wang, P.Y., et al., Piggery temperature and humidity control system based on adaptive fuzzy PID control, J. Northeast Agric. Univ., 2018, vol. 49, no. 2, pp. 73–86.
8.
go back to reference Gong, Y., Chen, X.B., Zhang, X., et al., Evaluation method for applicability of rape harvesting machinery based on fuzzy matrix, Jiangsu Agric. Sci., 2018, vol. 46, no. 2, pp. 164–168. Gong, Y., Chen, X.B., Zhang, X., et al., Evaluation method for applicability of rape harvesting machinery based on fuzzy matrix, Jiangsu Agric. Sci., 2018, vol. 46, no. 2, pp. 164–168.
10.
go back to reference Ponce-Jara, M.A., Velásquez-Figueroa, C., Reyes-Mero, M., and Rus-Casas, C., Performance comparison between fixed and dual-axis sun-tracking photovoltaic panels with an IoT monitoring system in the coastal region of Ecuador, Sustainability, 2022, vol. 14, no. 3, p. 1696. https://doi.org/10.3390/su14031696CrossRef Ponce-Jara, M.A., Velásquez-Figueroa, C., Reyes-Mero, M., and Rus-Casas, C., Performance comparison between fixed and dual-axis sun-tracking photovoltaic panels with an IoT monitoring system in the coastal region of Ecuador, Sustainability, 2022, vol. 14, no. 3, p. 1696. https://​doi.​org/​10.​3390/​su14031696CrossRef
12.
go back to reference Wang, W., Liu, N., and Xia, R.Z., Research on the evaluation system of distributed network planning based on improved AHP, Electron. Meas. Technol., 2019, vol. 42, no. 9, pp. 24–28. Wang, W., Liu, N., and Xia, R.Z., Research on the evaluation system of distributed network planning based on improved AHP, Electron. Meas. Technol., 2019, vol. 42, no. 9, pp. 24–28.
Metadata
Title
Research and Implementation of Intelligent Monitoring and Evaluation System for Farm Animals Breeding Environment
Author
Hanhua Yang
Publication date
01-08-2023
Publisher
Pleiades Publishing
Published in
Automatic Control and Computer Sciences / Issue 4/2023
Print ISSN: 0146-4116
Electronic ISSN: 1558-108X
DOI
https://doi.org/10.3103/S0146411623040090

Other articles of this Issue 4/2023

Automatic Control and Computer Sciences 4/2023 Go to the issue