基于时序序列的猪舍环境综合评价方法研究  

Comprehensive Evaluation Method of Pig House Environment Based on Time Series Sequences

作　　者：谢秋菊[1,2] 李佳龙 曹世蕾 郭玉环 刘洪贵 郑萍[1,2] 刘文洋 于海明[1] XIE Qiuju;LI Jialong;CAO Shilei;GUO Yuhuan;LIU Honggui;ZHENG Ping;LIU Wenyang;YU Haiming(College of Electrical and Information,Northeast Agricultural University,Harbin 150030,China;Key Laboratory of Pig Breeding Facilities,Ministry of Agriculture and Rural Affairs,Harbin 150030,China;College of Animal Science and Technology,Northeast Agricultural University,Harbin 150030,China;Engineering Research Center of Pig Intelligent Breeding and Farming in Nothern Cold Region,Ministry of Education,Harbin 150030,China)

机构地区：[1]东北农业大学电气与信息学院,哈尔滨150030 [2]农业农村部生猪养殖设施工程重点实验室,哈尔滨150030 [3]东北农业大学动物科技学院,哈尔滨150030 [4]教育部北方寒区猪智能化繁育与养殖工程研究中心,哈尔滨150030

出　　处：《农业机械学报》2024年第12期430-440,共11页Transactions of the Chinese Society for Agricultural Machinery

基　　金：国家自然科学基金面上项目(32072787、32372934);黑龙江省自然科学基金联合引导项目(JJ2023LH1292);黑龙江省教育厅新一轮黑龙江省“双一流”学科协同创新成果项目(LJGXCG2023-062、LJGXCG2024-F14);黑龙江省博士后资助项目(LBH-Q21070);农业农村部智慧养殖技术重点实验室开放项目(KLSFTAA-KF002、KLSFTAA-KF001)。

摘　　要：在集约化养猪生产中,猪舍环境是影响猪健康水平的重要因素。然而,多环境因子联合精准调控是制约猪舍环境控制的共性难题。因此,本文利用自适应高斯滤波(Adaptive Gaussian filtering,AGF)算法结合长短时记忆神经网络(Long short term memory networks,LSTM)进行舍内环境因子预测,为优化舍内环境调控策略提供支撑;结合组合赋权方式,确定猪舍内环境评价指标权重,构建基于未确知测度法评价方法,为猪舍环境调控提供参考。以实测猪舍数据对本文所提出方法进行验证,结果表明:相比LSTM预测模型,应用AGF优化算法后的LSTM预测模型(LSTM-AGF),其氨气质量浓度、温度、相对湿度、二氧化碳质量浓度的预测性能R^(2)分别提升0.33、0.03、0.05、0.12;提出的基于未确知测度法的预测评价方法敏感度SENS为0.215,比传统模糊综合评价方法高20.80%。因此,本文提出的环境质量评价方法可以为猪舍环境精准调控提供参考。In intensive pig farming,the pig house environment is an important factor affecting the health of pigs.However,the joint precise control of multiple environmental factors has always been a common problem in pig house environment control.Therefore,the adaptive Gaussian filtering(AGF)algorithm combined with long short term memory networks(LSTM)was used to predict the environmental factors inside the pig house,providing support for optimizing the control strategy of the pig house environment.By combining the weighted method,the weights of the environmental evaluation indicators inside the pig house were determined,and an evaluation method based on the unknown measurement method was constructed to provide reference for pig house environment control.The proposed method was validated by using measured data from pig houses,and the results showed that compared with the LSTM prediction model,the LSTM prediction model with the AGF optimization algorithm(LSTM-AGF)improved the prediction performance(R^(2))of ammonia,temperature,relative humidity,and carbon dioxide concentration by 0.33,0.03,0.05 and 0.12,respectively.The proposed prediction evaluation method based on the unknown measurement method had a sensitivity(SENS)of 0.215,which was 20.8%higher than that of the traditional fuzzy comprehensive evaluation method.Therefore,the environmental quality evaluation method proposed can provide feasible reference for precise control of the pig house environment.

关 键 词：猪舍环境 评价方法 时序序列 未确知测度 深度学习 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]