A temperature control method for an agricultural production greenhouse
CN121957193BActive Publication Date: 2026-08-28SHANDONG XINFENG SEED IND CO LTD
Patent Information
- Application Number
- CN202512053489.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2045-12-31
AI Technical Summary
Technical Problem
现有大棚温度控制多依赖常规PID控制器,其比例、积分、微分系数多为固定值,无法根据大棚内温度进行自适应调整,积分环节易因误差累积出现饱和,微分环节抗干扰能力弱,导致温度调节滞后明显、调节时间长;同时,用于优化控制器参数的传统算法存在分群比例固定、步长设置僵化等问题,难以快速搜索到最优参数组合,造成稳态误差大、控制精度低,无法满足作物生长对温度环境的精细化要求,严重影响了温度控制的可靠性与稳定性
Benefits of technology
[0020]与现有技术相比,本发明的优点和积极效果在于,针对现有大棚温度控制参数固定、调节滞后、抗干扰弱及寻优低效等问题,对PID控制机制与优化算法的协同升级。通过分布式传感器精准采集多区域温度,结合作物生长阶段动态预设目标参数;改进型PID控制器通过自适应比例增益、变速积分、微分噪声抑制与趋势预测,实现动态适配与抗扰提升;改进牛群优化算法以动态分群、自适应步长及变异机制,快速锁定最优参数。最终大幅缩短调节时间、减小稳态误差,让温度控制稳定在预设阈值内,满足农业生产大棚对温度稳定性和精度的实际需求。
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Abstract
The present application belongs to the technical field of intelligent control, and particularly relates to a temperature control method for agricultural production greenhouse. The method collects the actual temperature of the greenhouse, combines the preset target temperature of the crop growth stage and the deviation threshold value; an improved PID controller is constructed, adaptive nonlinear proportional gain, variable integral strategy, differential noise suppression and trend prediction mechanism are adopted to improve the control adaptability and anti-interference ability; the improved cow swarm optimization algorithm is used to optimize the controller parameters with dynamic grouping, adaptive step and mutation mechanism to quickly lock the optimal combination; finally, the real-time adaptive adjustment of the greenhouse temperature is realized, and the control result is ensured to be stable within the preset deviation threshold value. The present application solves the problems of fixed parameters, lagging adjustment and large steady-state error of the existing method, and improves the precision, reliability and fine level of temperature control in the agricultural production greenhouse.
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Citation Information
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