Intelligent Auxiliary Control

Fire Information Transmission Control Device

Dedicated information acquisition and conversion device for fire monitoring. It can collect multiple types of information in real time, including regional fire alarm controller signals, operating status of independent fixed fire extinguishing systems, analog signals, control feedback from controlled fire protection facilities, and circuit faults, and quickly upload them to the fire monitoring master station while accurately executing control command forwarding tasks. The device features high reliability and strong anti-interference performance, effectively ensuring stable operation of fire protection facilities and providing reliable technical support for fire safety management.

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Wireless Aggregation Device

The wireless aggregation device, deployed in substations, is a wireless sensor data acquisition device. Addressing issues of traditional wireless sensors such as data leakage, poor networking flexibility, and low configuration efficiency, the device adopts a fully domestic design, supporting E-language file conversion, encrypted data transmission, and bidirectional device authentication. It enables flexible chain/tree networking through self-organizing multi-hop communication. By dynamically adjusting sensor sleep cycles and frequency parameters, it achieves low-power, efficient data acquisition while ensuring data security, providing a safe, reliable, and flexibly expandable wireless data aggregation solution for substation IoT systems.

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AI Edge Gateway Device

The AI edge gateway device, designed for intelligent monitoring scenarios in distribution rooms, addresses issues such as low efficiency of manual inspections, poor real-time performance, and difficulty in early warning of safety risks. Based on edge AI computing technology, it integrates multi-channel video acquisition, intelligent behavior recognition, equipment/environment monitoring, and sensor linkage control, enabling automatic fan/pump start-stop, proactive alarm information push, and adaptive parameter configuration. Through northbound interfaces, it seamlessly connects with TTU terminals, uploading unified device status, video streams, environmental data, and inspection results to the distribution network O&M platform. It builds an "edge–end–cloud" collaborative intelligent inspection system for distribution rooms, improving O&M efficiency by more than 40%, reducing manual inspection risks, and supporting digital transformation of distribution networks.

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Battery Monitoring Device

The intelligent battery monitoring device is applied to the smart O&M system of backup emergency power batteries, effectively avoiding issues such as low efficiency of manual inspections and difficulty in early warning of safety risks. This device monitors key parameters in real time, including individual cell voltage, group voltage, and internal resistance. With intelligent analysis and remote management functions, it accurately evaluates battery health status and provides early warning of potential risks. Through intelligent O&M, it significantly reduces failure rates, extends battery service life, and greatly improves O&M efficiency and power supply reliability.

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Oil monitoring device

Takes oil condition as a key entry point for equipment health monitoring. By collecting key data such as particle size, quantity, oil viscosity, and moisture content in real time, it accurately evaluates the current operating status of the equipment and analyzes its future trends. Through in-depth analysis of oil data, potential faults can be detected in advance, providing detailed data support for equipment maintenance. Based on monitoring results, enterprises can formulate preventive maintenance plans, reduce the risk of unplanned downtime, effectively improve equipment reliability and service life, and lower overall O&M costs.

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Partial Discharge Monitoring Device

Covers a wide range of partial discharge monitoring technologies including ultra-high frequency, high frequency, ultrasonic, and transient earth voltage, with a complete variety. Adaptable to transformers, GIS, high-voltage switchgear, cables, and other electrical equipment. Meets diverse detection requirements and provides comprehensive multi-band, multi-angle monitoring of partial discharge, accurately detecting potential faults and reinforcing the safe operation of power systems.

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Digital Metering Device

The core digital metering devices for intelligent power O&M include the arrester leakage current digital meters and the SF₆ density gauge. The the arrester leakage current digital meters uses high-precision sensing technology to achieve real-time digital monitoring of arrester leakage current, enabling O&M personnel to understand equipment operating status, promptly detect anomalies, and reduce equipment failure risk. The SF₆ density gauge adopts advanced detection technology to accurately measure the density of SF₆ gas inside high-voltage equipment. Through intelligent analysis, it identifies abnormal density conditions caused by gas leakage or environmental factors and issues timely alarms, ensuring equipment safety and enhancing the stable operation of the power system.

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Smart Wearable Device

The smart safety helmet is designed for high-risk operation scenarios such as power and infrastructure projects. Addressing the limitations of traditional helmets with single functionality and lack of real-time monitoring or precise positioning, it integrates 5G/4G and WAPI dual-mode communication, BeiDou RTK + UWB indoor/outdoor integrated positioning technology, and supports State Grid mobile applications for remote audio/video monitoring and backend AI intelligent analysis. A mechanical anti-shake camera ensures stable images in complex environments. The modular design allows quick shell replacement, supporting a safe service life cycle of 30 months. Enhances precision in operation safety management, strengthens emergency response efficiency, and promotes intelligent upgrades of power operation safety.

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Intelligent Video Analysis Device

The intelligent video analysis device is designed for remote intelligent inspection of 500 (330) kV and above substations. It can seamlessly integrate video image data from various inspection devices. Based on computer image processing technology and more than 100 self-developed algorithms, it accurately extracts target features and quickly identifies equipment defects, personnel violations, and environmental hazards. Through intelligent diagnosis and early warning, combined with treatment recommendations, it enables efficient remote O&M and effectively improves the safety and reliability of large substation operation. The product has passed State Grid China Electric Power Research Institute testing for remote intelligent inspection systems of 500 (330) kV and above substations.

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