A method and system for evaluating the comfort level of dairy cow breeding environment based on cloud model

Abstract

The invention provides a dairy cattle breeding environment comfort evaluation method and system based on a cloud model. The method comprises the following steps: parameters including the warm environment, the air environment and the animal physiology are selected as evaluation factors; constructing a weight set cloud model, dividing the environmental comfort degree of the dairy cattle house into aplurality of evaluation grades according to the threshold value of each evaluation factor, and constructing an evaluation set of each evaluation grade based on the cloud model; fuzzy synthesis is carried out between the weight set cloud model and the evaluation set of each evaluation grade based on the cloud model so as to obtain a comment set cloud model; constructing a membership cloud model ofthe dairy cattle house environment to be evaluated according to the measured data of each evaluation factor; and the membership cloud model and the weight set cloud model are synthesized so as to determine the evaluation grade of the environmental comfort degree of the dairy cattle house to be evaluated. Three types of parameters with different dimensions are simultaneously incorporated into theevaluation so as to more scientifically and accurately evaluate the comfort degree of the inner environment of the dairy cattle house.

Description

technical field [0001] The present invention relates to the technical field of fuzzy comprehensive evaluation, and more specifically, relates to a method and system for evaluating the comfort degree of a dairy cow breeding environment based on a cloud model. Background technique [0002] Modern dairy farming is mainly based on high-density, high-efficiency intensive production, and the better the breed and the higher the production performance of the dairy cows, the stronger the dependence on the environment. Providing dairy cows with an economical and comfortable breeding environment that can ensure growth or production can not only reduce production costs and improve economic benefits, but also reduce the habit and stress caused by unsuitable environments, and improve the self-immunity of dairy cows. Prevent diseases, reduce the intake of drugs and antibiotics, thereby improving the safety and quality of milk products. Therefore, it is very important to scientifically and...

AI Technical Summary

Problems solved by technology

[0007] The existing thermal environment comprehensive assessment index is respectively aimed at summer heat stress or winter cold stress, which is not universal enough and only includes two to three elements of the four elements of warm environment

Individual physiological parameters are relatively difficult to obtain, and the sample size is limited. They can only be used as auxiliary references, and it is difficult to apply them on a large scale. Some physiological indicators, such as rectal temperature, have a lagging response to the environment.

Regardless of whether the evaluation method is based on environmental parameters or the evaluation method based on physiological parameters, the above-mentioned evaluation methods have a common defect: that is, they are all based on independent parameters or indicators that include a few parameters for environmental evaluation. It is easy to lead to different evaluation results for the same environmental conditions, using different environmental parameter indicators, and it is difficult to effectively guide the regulation of the breeding environment

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