谢秋菊, 苏中滨, Ji-qin Ni, 郑萍, 闫丽. 猪舍环境适宜性模糊综合评价[J]. 农业工程学报, 2016, 32(16): 198-205. DOI: 10.11975/j.issn.1002-6819.2016.16.028
    引用本文: 谢秋菊, 苏中滨, Ji-qin Ni, 郑萍, 闫丽. 猪舍环境适宜性模糊综合评价[J]. 农业工程学报, 2016, 32(16): 198-205. DOI: 10.11975/j.issn.1002-6819.2016.16.028
    Xie Qiuju, Su Zhongbin, Ji-qin Ni, Zheng Ping, Yan Li. Fuzzy synthetic assessment of swine house environmental adaptability[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(16): 198-205. DOI: 10.11975/j.issn.1002-6819.2016.16.028
    Citation: Xie Qiuju, Su Zhongbin, Ji-qin Ni, Zheng Ping, Yan Li. Fuzzy synthetic assessment of swine house environmental adaptability[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2016, 32(16): 198-205. DOI: 10.11975/j.issn.1002-6819.2016.16.028

    猪舍环境适宜性模糊综合评价

    Fuzzy synthetic assessment of swine house environmental adaptability

    • 摘要: 猪舍环境是影响猪健康水平、生长和繁殖的重要因素,对养猪生产起着决定性作用,受到广泛的关注。然而,猪舍环境是由多个环境因子相互耦合而形成的复杂的非线性时变系统。对各环境因素适宜性的描述并不是一个确定的数值,而是在一定范围内的模糊概念。目前,针对猪舍环境优劣评价大多仅限于单一环境因素,缺少基于多个环境因素的猪舍环境适宜性综合评价研究。因此,该文构建了评价指标体系和权重,根据猪舍养殖环境标准建立各环境因子的隶属度函数,提出了基于模糊集理论的猪舍多环境因子适宜性综合评价方法。以美国普渡大学SERB猪舍环境监测的24组数据为例对该文提出的方法进行了验证,结果表明,该文建立的猪舍环境适宜性模糊综合评价方法比单一环境因素的评价更加全面,能科学合理地反映出猪舍环境质量状况,可以很好地为猪舍环境调控提供数据参考。

       

      Abstract: Abstract: Swine house environment is an important factor that affects pig health, growth and reproduction. It plays a key role in the pig production and has received extensive attention. Swine house environment is referred to the external conditions that influence the growth, reproduction and development of pigs, including air temperature, humidity, light, airflow, particles, harmful gases, etc. Air temperature is a key factor that affects the heat balance of pigs. Humidity is also an important factor that influences the body’s evaporation and cooling. Harmful gases such as ammonia (NH3), hydrogen sulfide (H2S) and carbon dioxide (CO2) do great harm to the health and respiratory system when the concentrations are higher than normal. Ventilation can remove the extra heat and moisture, and decrease the concentrations of the harmful gases. However, the swine house environment is a complex, nonlinear and time-varying system that consists of multiple mutual coupling environmental factors. The adaptability of pigs to the environment is different due to the pig growth and development stage, variety, age and health status. The description of the environmental factors adaptability is not a definite value, but a fuzzy concept in a certain range. Fuzzy set theory is suitable to express fuzzy and uncertain concepts. There have been studies using the fuzzy set theory to build the assessment methods for water quality of lakes, the risk of earthquake, poisonous metal contents of soil and so on, but no method built with the fuzzy set theory for swine house environment quality evaluation has been reported. Although, there are some evaluations for swine house environment quality based on a single environmental factor, while there is seldom comprehensive assessment using the multiple environmental factors. Therefore, in this paper, the air temperature, humidity, air velocity, concentrations of CO2, NH3 and H2S were selected as the indicators to construct an evaluation index system. Also, Nine membership functions for the environmental factors were established according to pig breeding standards. The weights for the assessment indicators were calculated by using Analytic Hierarchy Process (AHP) method combined with the well-known knowledge. Finally, a comprehensive evaluation method for the adaptability of swine house multiple environmental factors was proposed based on the fuzzy set theory. The presented method was verified using 24 groups of environmental data collected in a swine environmental research building at Purdue University. The results showed that the fuzzy comprehensive evaluation method for the adaptability of swine house environment reflected a comprehensive influence of the selected environmental factors. The environmental quality inside the swine house was determined not only by a single air temperature factor, although it was most important, but also by several other factors. It was necessary to take into account other factors when the air temperature was in the fuzzy boundary for making a good evaluation to the swine house environment quality. Compared with the single factor assessment, the new method demonstrated a more comprehensive, and scientifically reasonable reflection on of swine house environmental conditions. This method can also provided an excellent real-time data reference for the swine house environmental control if it is used to develop an evaluation software.

       

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