一种应用于养殖场的热泵能源优化运行系统及方法
By constructing a heat pump energy optimization operation system in the farm, and using the Internet of Things and digital twin models combined with machine learning algorithms to optimize operating variables, the problem of energy efficiency decline and equipment waste under dynamic fluctuations in traditional systems has been solved, achieving efficient and stable energy management and cost reduction.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SUZHOU HANFENG TECH DEV CO LTD
- Filing Date
- 2025-11-20
- Publication Date
- 2026-07-17
AI Technical Summary
Traditional heat pump systems in livestock farms struggle to achieve efficient energy recovery and stable heating when faced with dynamic fluctuations in biogas slurry temperature and flow, leading to decreased energy efficiency and frequent equipment start-ups and shutdowns. Furthermore, traditional temperature control equipment cannot simultaneously meet the comprehensive needs of temperature control, ventilation, and air purification, resulting in energy waste and high costs.
A heat pump energy optimization operation system is constructed. Data is collected through IoT sensors, a digital twin model is established, and machine learning algorithms are combined to predict future heat load and waste heat. Model predictive control algorithms are used to optimize operating variables, thereby achieving fully automated and intelligent energy management.
It achieves efficient utilization of energy across the entire energy chain, significantly improves the overall energy efficiency ratio, reduces annual energy consumption costs, and reduces the subjectivity of manual operation and equipment failures, thereby improving the stability and operating efficiency of the system.
Smart Images
Figure CN121525975B_ABST