付晓, 魏晓莉, 严士超, 等. 畜舍养殖环境智能监控研究现状及展望[J]. 华南农业大学学报, 2024, 45(5): 672-684. DOI: 10.7671/j.issn.1001-411X.202405022
    引用本文: 付晓, 魏晓莉, 严士超, 等. 畜舍养殖环境智能监控研究现状及展望[J]. 华南农业大学学报, 2024, 45(5): 672-684. DOI: 10.7671/j.issn.1001-411X.202405022
    FU Xiao, WEI Xiaoli, YAN Shichao, et al. Status and prospect of research on intelligent monitoring of breeding environment in livestock barns[J]. Journal of South China Agricultural University, 2024, 45(5): 672-684. DOI: 10.7671/j.issn.1001-411X.202405022
    Citation: FU Xiao, WEI Xiaoli, YAN Shichao, et al. Status and prospect of research on intelligent monitoring of breeding environment in livestock barns[J]. Journal of South China Agricultural University, 2024, 45(5): 672-684. DOI: 10.7671/j.issn.1001-411X.202405022

    畜舍养殖环境智能监控研究现状及展望

    Status and prospect of research on intelligent monitoring of breeding environment in livestock barns

    • 摘要: 家畜疫病的发生及传播与养殖环境密切相关,实现畜舍环境信息的精准感知及智能化调控是提高动物健康水平及生产性能的关键,对我国畜牧产业高质量发展具有重要意义。本文从畜舍养殖环境指标体系、精准感知技术与方法、环境优化调控策略及舒适度评估4个方面出发,介绍了影响家畜健康的环境指标、畜舍养殖环境监控设备、无线数据传输优化技术,阐述了环境数据预测模型及分布规律的研究,并重点分析了畜舍调控装备优化设计、多环境参数调控及环境舒适度评估模型等方面的研究和发展现状,最后总结了当前畜舍环境智能监控应用所存在的问题,并对今后养殖环境智能监控发展方向进行了展望,为我国全面发展智慧畜牧业、提升生产效率提供参考。

       

      Abstract: The occurrence and spread of livestock diseases are closely related to the breeding environment. Achieving accurate perception and intelligent regulation of the environmental information of the barn is the key to improving animal health and production performance, which is of great significance to enhance the high-quality development and transformation of livestock industry in China. Starting from four aspects including the indicator system of the livestock barn breeding environment, accurate perception technology and methods, environment optimization control strategy and comfort assessment, this paper introduces the environmental indicators affecting the livestock health, livestock barn breeding environment monitoring equipment, wireless data transmission optimization technology, and elaborates on the research of environmental data prediction models and distribution laws. It also focuses on analyzing the research and development status of optimization design of livestock barn control equipment, multi-environmental parameter regulation and control, and environmental comfort assessment models, etc. Finally, it summarizes the problems existing in the current application of intelligent monitoring of livestock barn environment and looks forward to the future development direction of intelligent monitoring of farming environment, with the aim of providing references for the comprehensive development of intelligent animal husbandry and improvement of production efficiency in our country.

       

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