Multi-parameter linkage self-adaptive control method based on temperature, humidity and ammonia concentration

By employing multi-parameter decoupling and adaptive control methods, the nonlinear coupling problem between temperature, humidity, and ammonia concentration in the intelligent aquaculture system was solved, achieving high-precision adaptive adjustment of environmental parameters, reducing energy consumption, and improving system stability and animal welfare.

CN122131864AInactive Publication Date: 2026-06-02SICHUAN SHENGXING INTELLIGENT TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN SHENGXING INTELLIGENT TECH CO LTD
Filing Date
2026-05-06
Publication Date
2026-06-02
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

In existing smart aquaculture systems, the nonlinear coupling contradiction between temperature, humidity and ammonia concentration leads to lag in the control system's adjustment under complex dynamic environments, energy redundancy, and insufficient control precision, making it difficult to achieve environmental adaptive optimization.

Method used

By establishing a mathematical model with deep decoupling of multiple physical quantities, and combining predictive control algorithms with dynamic weight allocation mechanisms, a closed-loop control system is constructed. Multi-dimensional environmental data is acquired in real time, parameter decoupling preprocessing is performed, and multi-parameter linkage adjustment is achieved through adaptive heat compensation and variable frequency ventilation control.

Benefits of technology

It achieves high-precision adaptive regulation of temperature, humidity and ammonia concentration in complex environments, reducing energy consumption, improving environmental stability and animal welfare, and enhancing egg production performance and system reliability.

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Abstract

This invention belongs to the field of intelligent control technology for aquaculture environments, specifically involving an adaptive control method based on multi-parameter linkage of temperature, humidity, and ammonia concentration. It collects real-time data on temperature, humidity, and ammonia concentration in the poultry house; constructs an ammonia release kinetic model using a variant of the Clausius-Clapeyron equation to achieve multi-dimensional parameter nonlinear decoupling preprocessing; introduces a multi-objective optimization strategy based on dynamic weight allocation according to the laying hen's growth cycle to define a composite environmental comfort index; executes variable frequency ventilation logic based on a decoupling matrix to calculate the minimum ventilation volume required for ammonia levels to reach standards and heat balance, activating an adaptive heat compensation mode when parameters conflict; and achieves precise linkage adjustment of environmental parameters through PLC-driven collaborative operation of fans, heaters, regulating valves, and other actuators. It possesses advantages such as thorough parameter decoupling, high control precision, strong adaptability, low operating energy consumption, and system stability and reliability, significantly improving the comfort and production efficiency of laying hen farming environments.
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