基于物联网的楼宇空调温控器低时延无线通讯系统及方法
By leveraging IoT technology and neural network optimization strategy models, combined with adaptive transmission power control and blockchain, the problems of installation complexity and communication instability in building air conditioning thermostat systems have been solved, enabling low-latency, low-energy-consumption management and control of air conditioning equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING XINLIAN ELECTRONICS CO LTD
- Filing Date
- 2023-11-09
- Publication Date
- 2026-07-17
AI Technical Summary
Existing building air conditioning thermostat systems are complex to install, have unstable communication, poor wireless timeliness, and cannot be managed uniformly, resulting in energy consumption loss and compatibility issues.
A low-latency wireless communication system for building air conditioning thermostats based on the Internet of Things is adopted. Environmental data is collected through the LORA module, and an optimization strategy model is built using neural networks. Combined with adaptive transmission power control algorithm and blockchain technology, unified management and control of air conditioning equipment of different brands and models can be achieved.
It enables low-cost, low-latency deployment and unified management of air conditioning systems, improves system operational timeliness, reduces energy consumption, and enhances system intelligence and data security.
Smart Images
Figure CN117490194B_ABST