Institute of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Department of Agricultural and Biological Engineering, Purdue University, West Lafayette, IN 47907, USA.
J Hazard Mater. 2017 Oct 15;340:463-471. doi: 10.1016/j.jhazmat.2017.07.024. Epub 2017 Jul 12.
In confined swine buildings, temperature, humidity, and air quality are all important for animal health and productivity. However, the current swine building environmental control is only based on temperature; and evaluation and control methods based on multiple environmental factors are needed. In this paper, fuzzy comprehensive evaluation (FCE) theory was adopted for multi-factor assessment of environmental quality in two commercial swine buildings using real measurement data. An assessment index system and membership functions were established; and predetermined weights were given using analytic hierarchy process (AHP) combined with knowledge of experts. The results show that multi-factors such as temperature, humidity, and concentrations of ammonia (NH), carbon dioxide (CO), and hydrogen sulfide (HS) can be successfully integrated in FCE for swine building environment assessment. The FCE method has a high correlation coefficient of 0.737 compared with the method of single-factor evaluation (SFE). The FCE method can significantly increase the sensitivity and perform an effective and integrative assessment. It can be used as part of environmental controlling and warning systems for swine building environment management to improve swine production and welfare.
在密闭的养猪场舍中，温度、湿度和空气质量对动物的健康和生产力都非常重要。然而，目前的养猪场舍环境控制仅基于温度，需要基于多个环境因素的评估和控制方法。本文采用模糊综合评价（FCE）理论，利用实际测量数据对两个商业养猪场舍的环境质量进行了多因素评估。建立了评估指标体系和隶属函数，并采用层次分析法（AHP）结合专家知识预先确定了权重。结果表明，FCE 可以成功地整合温度、湿度以及氨气（NH）、二氧化碳（CO）和硫化氢（HS）浓度等多个因素，用于养猪场舍环境评估。与单因素评价（SFE）方法相比，FCE 方法的相关系数高达 0.737。FCE 方法可以显著提高灵敏度，进行有效和综合的评估。它可以作为养猪场舍环境管理的环境控制和预警系统的一部分，以提高猪的生产性能和福利。
