Provide real-time energy monitoring and optimized management. Users can view solar power generation, household electricity consumption, and battery energy storage status through an intuitive interface, supporting data chart analysis to help track energy consumption trends. The APP has intelligent reminder function, which can provide instant alarm for abnormal electricity consumption or equipment failure, and can generate energy-saving suggestions, such as adjusting the electricity consumption period to improve the spontaneous self consumption rate. Compatible with mainstream solar inverters and smart meters, supports remote control, and achieves efficient collaboration between photovoltaics, energy storage, and the power grid. By using AI algorithms to predict power generation and demand, we aim to maximize clean energy benefits, reduce electricity bills, and promote environmental protection and sustainable living.
Dynamic curve of solar power generation (minute/hour/day/month)
Comparison heat map of household electricity consumption and power generation
Battery energy storage status (remaining power/charging and discharging rate), intelligent warning: reduced production capacity on cloudy days/device abnormal push
Load identification: Identify high power consuming equipment (such as air conditioning and electric vehicles) through current waveform recognition
Intelligent scheduling suggestion: automatically recommend the best electricity consumption period (combined with peak and valley electricity prices and power generation forecasting)
Virtual power plant access: participating in grid demand response to obtain benefits
· Voice command:Support natural language control such as " priority charging of electric vehicles with solar energy "
· IoT linkage: deep integration with devices such as Tesla Powerwall and Xiaomi Home
· Emergency mode: Automatically switch to backup power and notify upon power failure
3D model display of rooftop photovoltaic panels (supporting AR viewing of real location)
Single component level monitoring (abnormal hot spot red warning)
Shadow simulation: predicting tree/building occlusion effects through LIDAR data
Visualize household energy flow (photovoltaic → battery → load → grid)
Gesture zoom to view the power generation efficiency of a single component (such as the current output of the third photovoltaic panel: 215W)
Priority given to charging electric vehicles with solar energy → Automatic recognition of vehicle connection status and switching of power supply strategy
Enter typhoon mode → activate bracket lock+fully charged battery backup
Working temperature: -25 ℃~+65 ℃ (compliant with IP65 protection)
Abnormal response of power grid: islanding detection completed in less than 100ms (IEEE 1547)
Data persistence: Cache data for 72 hours after network disconnection (FRAM storage)
Working temperature: -25 ℃~+65 ℃ (compliant with IP65 protection)
Abnormal response of power grid: islanding detection completed in less than 100ms (IEEE 1547)
Data persistence: Cache data for 72 hours after network disconnection (FRAM storage)
· Voltage range: 0-60VDC ± 0.5% - supports micro inverse/optimizer schemes
· Current accuracy: ± 1% (0.5-15A) - Hall sensor+temperature compensation
· Irradiance: 0-1500W/m ² (± 3%) - Secondary standard photovoltaic reference cell
· Board temperature monitoring: -40 ℃~+85 ℃ (± 0.5 ℃) - PT1000 platinum resistor embedded
· SOC estimation error: ≤ 2% - bidirectional current integration+Kalman filter
