Solusyon ng Smart Meter: Pagsusuri ng mga Pangunahing Katangian at mga Sitwasyon sa Paggamit

I. Buod ng Solusyon

II. Implementasyon ng Pangunahing Paggamit

1. Sistema ng Mataas na Presisyong Pag-measure

• Gumagamit ng 0.5S/0.2S-class na mga chip ng pag-measure, na may error rate na mahigpit na kontrolado sa ilalim ng ±0.5%.
• Sumusuporta sa bidirectional na pag-measure ng enerhiya (naglalaman ng forward/reverse active at reactive power), na nagbibigay ng seamless na adaptasyon sa mga scenario ng integration ng grid ng renewable energy.
• Mga kakayahan sa harmonic metering (na nag-aanalisa ng ikalawang hanggang ika-21 na harmonics), na epektibong nagse-secure ng komprehensibong monitoring ng kalidad ng enerhiya.

2. Multi-Mode Communication Solution

3. Advanced Function Applications

• Smart billing control system: Sumusuporta sa seamless na switching sa pagitan ng prepaid at postpaid modes; ang response time para sa remote power on/off ay mas mababa sa 3 minutes.
• Electricity consumption analysis engine:
  • Generates load curves with granularities of 15, 30, or 60 minutes.
  • Achieves over 95% accuracy in detecting electricity theft.
  • Automatically records voltage sag and swell events.
• Multi-scenario tariff strategies: Automatically executes tiered pricing, time-of-use pricing, and dynamic pricing models.

III. Typical Application Scenario Solutions

1. Residential Electricity Scenarios

• Home energy management: Enables real-time electricity query and detailed appliance energy consumption analysis.
• Smart home integration: Provides interfaces for connection with smart home systems, supporting coordinated electricity management strategies.
• Mobile applications: Allows users to access real-time electricity queries and billing alerts via WeChat or dedicated mobile apps.

2. Commercial and Industrial Applications

• Demand management system: Conducts 15-minute demand forecasting to help enterprises avoid exceeding basic electricity fees.
• Power factor compensation: Automatically calculates reactive compensation requirements, preventing penalty charges due to low power factors.
• Sub-circuit metering: Supports independent metering of multiple branch circuits, enabling precise assessment of energy consumption across different production or operation links.

3. Renewable Energy Applications

• Distributed PV metering: Adopts bidirectional energy metering to ensure accurate net metering for photovoltaic systems.
• EV charging management: Implements independent metering for charging piles and controls charging costs through time-of-use pricing.
• Energy storage system monitoring: Calculates charge/discharge efficiency and conducts battery health assessment in real time.

IV. Technical Implementation Assurance

1. Security Protection System

• Encrypts communication data using the national cryptographic SM4 algorithm, ensuring data transmission security.
• Enhances hardware-level protection through security chips, effectively preventing physical attacks on devices.
• Adopts a bidirectional authentication mechanism to block unauthorized access to the metering system.

2. Standards Compliance

• Complies with the GB/T 17215 series of national standards, meeting domestic technical and quality requirements.
• Has passed State Grid Q/GDW 1208 type tests, ensuring compatibility with State Grid's operation system.
• Supports EU MID certification and North American ANSI C12 standards, facilitating international market expansion.

3. Intelligent Evolution Path

• Edge computing capability: Realizes local data preprocessing, reducing the pressure of data transmission to the cloud.
• AI algorithm applications: Applies AI technologies to user behavior analysis and equipment health prediction, improving system intelligence.
• Cloud-edge collaboration: Combines local rapid response capabilities with cloud-based big data analysis, optimizing overall system performance.

V. Implementation Benefits Analysis

1. Improved metering accuracy: Reduces billing disputes caused by metering errors and enhances customer satisfaction.
2. Optimized operational efficiency: Increases the efficiency of remote meter reading by more than 80%, reducing manual operation costs.
3. Electricity theft detection: Achieves over 95% accuracy in detecting abnormal electricity usage, minimizing economic losses for power grid enterprises.
4. Renewable energy adaptation: Supports high-penetration renewable energy integration scenarios, promoting the development of clean energy.
5. Decision support: Provides detailed electricity behavior data to assist in the formulation of scientific and reasonable energy policies.

VI. Summary and Outlook