Smart Grid Intelligent IoT Solution

The current low-voltage distribution network still faces significant challenges in its development:
1. Insufficient Sensing and Lack of Information Transparency
Traditional low-voltage distribution cabinets primarily rely on electrical protection, lacking online monitoring and intelligent sensing capabilities. Operational anomalies such as voltage deviation, three-phase current imbalance, and harmonic pollution are often hidden deep within the system, making them difficult to detect and address promptly. This not only increases power supply risks but also lacks data support for energy efficiency optimization.

2. Delayed Operation and Maintenance, Difficult to Control Risks
Currently, the operation and maintenance of low-voltage distribution networks primarily rely on manual inspections, scheduled maintenance, and post-event repairs. Faults typically require manual troubleshooting, often with responses only after the incident has occurred. This model results in inefficient fault handling, prolonged power outages, and challenges in ensuring power supply reliability and customer satisfaction.

3. Extensive Management and Ineffective Performance
Operational and energy consumption data from low-voltage substations are fragmented and incomplete, making it impossible to develop a unified energy efficiency analysis system. Power supply companies struggle to accurately identify high-loss circuits and abnormal power usage or theft, leading to high line losses and significant energy waste, directly impacting their economic benefits and operating indicators.

4. System Fragmentation and Limited Expansion
In distribution systems, equipment from multiple brands and protocols often coexists, lacking unified communication standards and data management platforms. This fragmented structure hinders data interoperability and supports cross-device and cross-platform intelligent applications, hindering the overall digital upgrade of the distribution network.

These issues are particularly severe in rural areas with older and high-loss substations, as well as areas connected to new energy sources such as distributed photovoltaics and energy storage. The lack of visibility into the operating status of older equipment, opaque energy consumption, and delayed repairs not only impacts the operational efficiency and refined management of power supply companies but also directly impacts the user experience and perceived value. With the increasingly urgent need for digital transformation of the power grid, building a safe, reliable, intelligent, and green low-voltage distribution network has become an inevitable trend in the industry.

To address these challenges, this solution proposes an integrated "end-edge-cloud" intelligent IoT solution for low-voltage distribution networks. By integrating sensing terminals, aggregation terminals, and smart management components, this solution enables comprehensive awareness, real-time diagnosis, and intelligent operation and maintenance of the low-voltage distribution system.

Architecture Design:
· Sensing Terminals: Smart meters, multi-function monitoring devices, busbar/contact temperature sensors, circuit breaker status acquisition units, and environmental sensors are deployed within the distribution cabinet to provide comprehensive awareness of electrical parameters, equipment status, and the operating environment.
· Aggregation Terminals: Utilizing standardized RS485/Ethernet bus access and equipped with an edge gateway (supporting Modbus RTU/TCP, HPLC, 4G/NB-IoT), this solution is responsible for data aggregation, protocol conversion, and edge computing, ensuring over 95% transmission reliability.
· Management Components: AI algorithms are deployed on the edge and in the cloud to automatically generate distribution network topology, perform fault prediction, power quality analysis, and three-phase imbalance management, and integrate with the work order system to achieve a closed-loop process from alarm to emergency repair.

Technical Features:
· Domestically produced chips and proprietary algorithms ensure security and control, in line with the energy industry's development direction of independent and controllable development;
· Open APIs enable seamless integration with enterprise energy efficiency management systems, campus smart platforms, and third-party clouds;
· Edge and cloud collaboration ensures a balance between local real-time control and cloud-based big data analysis.

1. High Reliability and Intelligence
· Automatically generate a "single map" of power distribution through AI-powered grid identification;
· Fault events are reported within seconds, and combined with geographic navigation, fault points can be quickly located;
· Supports power quality, temperature rise, and environmental monitoring, comprehensively enhancing system awareness and early warning capabilities.

2. Refined Management and Improved Efficiency
· Accurately locate high-loss circuits, assisting with electricity bill audits and anti-theft measures;
· Replacing regular inspections with condition-based maintenance improves O&M efficiency by over 50%;
· Reduces power outage duration, enhancing customer satisfaction and the service image of power supply companies.

3. Flexible Deployment and Widespread Applicability
· New distribution cabinets can be factory-integrated with pre-installed modules for immediate use;
· Existing distribution cabinets can be retrofitted using modularization, supporting wire-free CT and wireless temperature sensors for immediate installation;
· Supports tiered deployment from single cabinets to entire distribution rooms, gradually expanding to campus and even regional applications.

4. Supporting Future Development
· Provides real-time power flow data to support distributed energy grid integration, demand-side response, and localized scheduling;
· Lays a solid foundation for enterprise digital transformation and energy management;
· Compatible with future IoT and edge computing upgrades and evolutions.

Renovation of old power substations: Implement intelligent retrofits in high-failure-rate substations to achieve rapid fault location and a closed-loop repair system.

· High-loss area management: Through comprehensive monitoring and data comparison, accurately identify loss nodes and reduce power losses.

· Distributed energy access: Provide real-time power flow monitoring and power quality assurance for new energy sources such as photovoltaics, energy storage, and charging stations.

· Commercial complexes and public facilities: Improve power supply reliability and energy efficiency in key locations such as hospitals, transportation hubs, and office buildings.

· Smart parks and industrial manufacturing: Build park-level energy efficiency management systems to support enterprises' green and low-carbon transformation.