Self-adaptive self-adjusting multi-dimensional breeding environment quality evaluation method and system

Abstract

The invention discloses a self-adaptive self-adjusting multi-dimensional breeding environment quality evaluation method and system, and the method comprises the steps: collecting an optimal temperature and humidity value, a high temperature and humidity alarm value, a low temperature and humidity alarm value, a high temperature and humidity comfortable region offset percentage, and a low temperature and humidity comfortable region offset percentage of a breeding farm, and constructing a temperature and humidity evaluation model; collecting a harmful gas index value, a harmful gas high alarm value and a harmful gas volatility of the farm, and constructing a harmful gas evaluation model; and constructing a farm environment evaluation model according to the temperature and humidity evaluation model and the harmful gas evaluation model. The system comprises a data acquisition module, a harmful gas scoring module, a temperature and humidity scoring module, an environment comprehensive scoring module, a storage module, a first display module and a first communication module. The evaluation method provided by the invention is accurate, the system structure is reasonable, automatic monitoring of the farm environment is realized, and technical support is provided for the intelligent process of the farm.

Description

technical field [0001] The invention relates to the field of intelligent evaluation, in particular to an adaptive and self-adjusting multi-dimensional breeding environment quality evaluation method and system. Background technique [0002] The current breeding mode of the farming industry can be basically divided into three types: the traditional stage, the automation stage, and the intelligent stage. [0003] Among them, the traditional stage is mainly retail investors, completely manual, inefficient, almost no epidemic prevention ability, and extremely risky; although the automation stage has certain automatic control capabilities, the parameters are complicated, the operation is difficult, and it is easy to misuse, so it still relies heavily on Artificial, low degree of epidemic prevention; the intelligent stage is the mainstream solution of the current group farming, with a default breeding strategy, reducing labor, improving efficiency, intelligent control to ensure the...

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Problems solved by technology

[0003] Among them, the traditional stage is mainly retail investors, completely manual, inefficient, almost no epidemic prevention ability, and extremely risky; although the automation stage has certain automatic control capabilities, the parameters are complicated, the operation is difficult, and it is easy to misuse, so it still relies heavily on Artificial, low degree of epidemic prevention; the intelligent stage is the mainstream solution of the current group farming, with a default breeding strategy, reducing labor, improving efficiency, intelligent control to ensure the correct implementation of the strategy, remote control, etc. can reduce the flow of people and reduce the spread of plague. Since the outbreak of African swine fever in 2018, farming has clearly shown a trend of scale and intelligence, but it is still dominated by rough farming

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