摘要
为了提高猪舍环境舒适度评价的准确性,克服猪舍多环境因子相互耦合,避免采用单一环境因子评价猪舍内环境质量状况不准确问题。本研究根据猪舍环境养殖标准,构建了猪舍舒适度评价指标体系和权重,建立了温度、湿度、风速、CO_(2)、NH_(3)和H_(2)S各环境因子的隶属度函数,提出了基于层次分析-模糊理论的猪舍多环境因子综合评价方法,搭建了生猪生长环境舒适度实时监测系统。以育肥猪舍环境监测的24组数据为例对本文提出的猪舍舒适度模糊综合评价方法进行验证。结果表明,该系统建立的猪舍多环境因子舒适度模糊综合评价方法能准确反映猪舍空气质量状况,可为猪舍环境精准调控提供科学决策依据,具有一定的应用价值。
The study aimed to improve the evaluation accuracy of environmental comfort level of pig house,overcome the coupling of multiple environmental factors of pig house,and avoid the inaccurate problem of using a single environmental factor to evaluate the environmental quality of pig house.According to the environmental breeding standard of pig house,the evaluation index system and weight of pig house comfort level were constructed,the membership functions of environmental factors such as air temperature,humidity,wind speed,CO_(2),NH_(3)and H_(2)S were established.A comprehensive evaluation method of pig house multi-environmental factors based on analytic hierarchy process fuzzy theory was proposed,and the real-time monitoring system of pig growth environment comfort level was founded.In this paper,the fuzzy comprehensive evaluation method of pig house comfort level is verified using 24 groups of environmental monitoring data in fattening pig house.The experimental results show that the fuzzy comprehensive evaluation method of comfort degree of pig house with multiple environmental factors established by the system can accurately reflect the air quality of pig house.It provides a scientific decision-making basis for accurate regulation of pig house environment,and has certain application value.
作者
刘艳昌
吴延昌
郭颖轩
李冬阳
张志霞
左现刚
李国厚
LIU Yanchang;WU Yanchang;GUO Yingxuan;LI Dongyang;ZHANG Zhixia;ZUO Xiangang;LI Guohou(Department of Information Engineering,Henan Institute of Science and Technology,Xinxiang,Henan 453003,China)
出处
《家畜生态学报》
北大核心
2024年第6期76-81,96,共7页
Journal of Domestic Animal Ecology
基金
河南省科技攻关项目(222102210145,242102211041)
河南科技学院大学生创新训练计划项目(2022CX075,2023CX085)。
关键词
猪舍
舒适度
实时监测
层次分析
模糊综合评价
pig house
comfort degree
real-time monitoring
analytic hierarchy process
fuzzy synthetic assessment