A wireless intelligent monitoring and control terminal for energy hosting projects

By constructing a wireless intelligent monitoring and control terminal, the problems of complex construction, data silos, and reliance on cloud-based decision-making in energy management projects have been solved. It has achieved low-cost, easy-to-deploy, and millisecond-level response local control capabilities, which are suitable for distributed energy consumption scenarios.

CN122372945APending Publication Date: 2026-07-10NANJING KEZHIFENG ENERGY SAVING TECH CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
NANJING KEZHIFENG ENERGY SAVING TECH CO LTD
Filing Date
2026-05-28
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Existing energy management projects suffer from problems such as complex construction, high renovation costs, severe data silos, reliance on cloud-based decision-making leading to insufficient real-time performance and reliability, and a lack of intelligent linkage at the terminal side.

Method used

It employs a multi-channel data acquisition module, a wireless communication module, an edge computing unit, a control output module, and a device identification and self-organizing network module to achieve local data processing and control, build a self-organizing Mesh network, support LoRa and 4G Cat.1 wireless communication, and possess edge intelligence and autonomous control capabilities.

Benefits of technology

It has developed a low-cost, easy-to-deploy terminal device with millisecond-level response, which is suitable for rapid renovation of existing buildings and large-scale distributed energy consumption scenarios. It has multiple interface compatibility and autonomous control capabilities, which improves the real-time performance and reliability of the system.

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Abstract

This invention discloses a wireless intelligent monitoring and control terminal for energy management projects, comprising: an edge computing unit, a control output module, and a device identification and self-organizing network module. The edge computing unit integrates a rule execution engine, a lightweight anomaly detection model, and a time-series local storage module, enabling real-time processing of collected data and execution of local control decisions without cloud reliance. The device identification and self-organizing network module automatically discovers neighboring terminals based on physical layer beacon frames, constructs a multi-hop self-organizing mesh network, and supports a topic-based data subscription mechanism to achieve collaborative control between terminals. This invention solves the technical problems of existing energy management systems, such as reliance on wired deployment, cloud decision-making delays, and lack of local intelligent linkage. It has advantages such as low construction cost, fast response speed, network outage autonomy, local anomaly identification, and inter-terminal collaborative optimization, and can be widely applied in energy management scenarios such as buildings, parks, and industries.
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