Tailored solutions for different scenarios.
A substation digitalization solution based on IEC61850 standard protocols and cloud-edge collaborative architecture. Distributed sensor networks enable real-time condition monitoring, integrated machine learning algorithms for fault prediction, supporting millisecond-level remote control response. System availability 99.95%, fault warning accuracy ≥92%, significantly improving operational efficiency and reliability.
Based on IEC61850 protocol, real-time monitoring for key assets such as transformers and switchgear. Sampling frequency 1kHz, supporting multi-dimensional parameter acquisition including temperature, vibration, partial discharge, with data latency ≤50ms.
Using deep learning and time series analysis algorithms, fault prediction accuracy ≥92%, warning time 2-7 days in advance, supporting multi-fault pattern recognition and classification.
Supporting IEC104 protocol remote operation with response time ≤100ms. AES-256 encryption and digital certificate authentication ensure operational security. On-site workload reduced by 60%+.
Deep analytics on historical data based on big data platform, using digital twin technology to build asset models, optimizing operating strategies, reducing energy consumption by 15%+.
A distribution network upgrade solution based on edge computing and artificial intelligence. Distributed monitoring architecture enables automatic topology identification and visualization. Integrated load forecasting algorithms (MAPE≤5%), supporting fast fault localization (localization time ≤3 minutes). System supply reliability improved to 99.9%+, O&M efficiency improved by 40%.
Based on IEC104 and Modbus protocols, comprehensive monitoring of distribution network operating status. Supporting automatic topology identification, real-time data acquisition frequency 10Hz, monitoring coverage ≥95%.
Using LSTM neural networks and time series analysis algorithms, load forecasting based on historical data and meteorological information, forecast accuracy MAPE≤5%, supporting short-term (24h) and medium-term (7 days) forecasting.
Based on fault current analysis and topology algorithms, fault localization time ≤3 minutes, localization accuracy ≥98%, average outage time reduced by 40%+.
Real-time monitoring of voltage, frequency, harmonics and other power quality indicators, sampling frequency 6.4kHz, accuracy class 0.5, supporting power quality event recording and analysis.
A new energy integration monitoring solution based on IoT and artificial intelligence. Distributed data acquisition architecture enables real-time monitoring of wind farms, solar PV plants and other new energy generation. Integrated meteorological data fusion and machine learning algorithms, power forecasting accuracy MAPE≤8%. Supporting grid-connection management, AGC/AVC control, ensuring grid safety and stability.
Based on Modbus and IEC104 protocols, real-time monitoring of wind, solar and other new energy generation status. Supporting key parameter acquisition including power, voltage, current, data update frequency 1Hz, monitoring coverage 100%.
Supporting AGC/AVC automatic generation control with response time ≤2 seconds. Using grid-connection protection algorithms, implementing low voltage ride-through, frequency response and other functions, ensuring grid safety and stability.
Fusing meteorological data with historical generation data, using random forest and neural network algorithms for power forecasting, forecast accuracy MAPE≤8%, supporting ultra-short-term (4h) and short-term (24h) forecasting.
Optimization algorithms for new energy generation dispatch, considering forecast errors, grid constraints and other factors, optimizing dispatch strategies, new energy consumption rate improved by 15%+.
Covering more application scenarios.
Based on consortium blockchain architecture, using smart contract technology to enable decentralized, automated and trustless energy ecosystems. Supporting P2P energy trading and VPP aggregation, transaction confirmation time ≤3 seconds, TPS≥1000, ensuring data immutability and traceability.
Industrial IoT platform based on microservices architecture and containerized deployment. Supporting multi-protocol device access (IEC61850/104, Modbus, OPC UA, MQTT, etc.), providing streaming data processing, data governance and API service capabilities, enabling rapid replication across scenarios, system concurrent processing capacity ≥100K devices.
Smart electricity management solution for enterprises and campuses based on IoT and data analytics. Supporting sub-metering and energy consumption monitoring, using load analysis and optimization algorithms for monitoring, analytics and optimization. Energy consumption reduced by 15-25%, power factor improved to ≥0.95.
Full lifecycle O&M management solution for power equipment based on digital twin technology. Integrated predictive maintenance algorithms with fault warning accuracy ≥90%. Supporting asset ledger management, inspection planning and intelligent work order dispatch, using RCM (Reliability Centered Maintenance) methods, equipment availability improved to ≥99.5%.
Integrated energy management solution for campuses based on energy internet architecture. Supporting multi-energy complementarity including electricity, heat, cooling, gas, using optimization dispatch algorithms for energy optimization. Integrated distributed energy including PV and energy storage, achieving green energy efficiency, comprehensive energy efficiency improved by 20%+, carbon emissions reduced by 30%.
Based on BeiDou/GPS RTK high-precision positioning technology, positioning accuracy at millimeter level (horizontal ≤3mm, vertical ≤5mm). Using 4G/5G wireless communication for all-weather, unattended deformation monitoring. Supporting multi-base station networking, monitoring frequency 1Hz, real-time data transmission, warning response time ≤10 seconds.