基于LabVIEW平台的蛋鸡舍环境舒适度实时监测系统设计与实现

发布时间：2018-06-06 19:51

本文选题：监测 + 温度　；参考：《农业工程学报》2017年15期

【摘要】：蛋鸡的环境舒适度是多种因素相互作用的结果,其状况的好坏难以用数值来描述。该研究以蛋鸡为主体,通过文献资料确定影响蛋鸡舍舒适度的各环境因素的阈值,利用模糊数学理论对各环境因素数据进行融合,得到蛋鸡环境舒适评价结果,采用LabVIEW搭建蛋鸡舍环境舒适度实时监测系统,输出实时的环境舒适度评价结果,利用舒适度时间占比法对饲养周期内的数据进行分析。在实验室畜禽物联网平台的基础上,选取黄山德青源种禽有限公司试验鸡舍和中国农业大学上庄实验站试验鸡舍作为系统环境数据获取节点,对系统进行验证。结果显示:采用层次分析法得到冬季鸡舍环境因素(温度、湿度、风速、二氧化碳浓度和氨气浓度)的权重集W冬={0.4286,0.1511,0.0495,0.2828,0.0879},夏季为W夏={0.4326,0.2418,0.1029,0.0813,0.1414};与采用单一环境因素对舍内环境进行评价相比,系统能较全面的反映出舍内的舒适程度;冬季黄山德青源种禽有限公司试验鸡舍环境舒适度要好于中国农业大学上庄实验站试验鸡舍。该研究为蛋鸡舍内综合环境评价提供了一种新的方法,同时也为畜禽物联网实时监测数据的应用提供了一种新的思路。
[Abstract]:The environmental comfort of laying hens is the result of the interaction of many factors. In this study, the threshold value of the environmental factors affecting the comfort degree of laying hens was determined by the literature data, and the data of environmental factors were fused by using fuzzy mathematics theory, and the results of environmental comfort evaluation were obtained. LabVIEW was used to set up a real-time monitoring system for the environmental comfort of laying hens. The results of real-time evaluation of environmental comfort were outputted and the data in the feeding cycle were analyzed by using the comfort time ratio method. On the basis of the laboratory platform of livestock and poultry Internet of things, the experimental henhouse of Huangshan Deqingyuan breeding and Poultry Co., Ltd. and the experimental station of Shangzhuang Experimental Station of China Agricultural University were selected as the system environmental data acquisition nodes to verify the system. The results showed that the environmental factors (temperature, humidity, wind speed) of chicken house in winter were obtained by analytic hierarchy process (AHP). The weight set of carbon dioxide concentration and ammonia concentration was W = {0.4286U 0.15115N 0.28495U 0.28879} in summer and W = 0.4326U 0.24180.10290.10290.08130.1414} in summer. Compared with using single environmental factor to evaluate the indoor environment, the system could fully reflect the comfort degree of the house. In winter, the environmental comfort of the experimental chicken house in Huangshan Deqingyuan Poultry Co., Ltd. is better than that in Shangzhuang Experimental Station of China Agricultural University. This study provides a new method for the comprehensive environmental assessment in the layer house and a new idea for the application of real-time monitoring data of the livestock and poultry Internet of things.
【作者单位】：农业部设施农业工程重点实验室;青岛大牧人机械股份有限公司;中国农业大学水利与土木工程学院;北京市畜禽健康养殖环境工程技术研究中心;
【基金】：“十三五”国家重点研发计划(2016YFD0700204)
【分类号】：S831;TP274

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