0731-Artificial intelligence analysis AI health diagnosis

「Deep Learning」

Machine Learning Advanced Service

"Deep Learning" advanced machine learning service

In-depth physical examination to understand the health status of old solar power plants

Shengqi cooperated with an Israeli artificial intelligence software company to launch the "Deep Learning" advanced machine learning service. Just install the Pixel View monitoring system, you can apply for an upgrade and use the existing power plant data for data analysis. Through the extremely complex algorithm, Interpret all index data of solar energy and analyze the reasons for the decline in power generation efficiency, deeply study the power generation behavior of power plants in the past year, and analyze 20 reasons for the decline in power generation indicators:

In-depth physical examination to understand the health status of old solar power plants

Shengqi cooperated with an Israeli artificial intelligence software company to launch the "Deep Learning" advanced machine learning service. Just install the Pixel View monitoring system, you can apply for an upgrade and use the existing power plant data for data analysis. Through the extremely complex algorithm, Interpret all index data of solar energy and analyze the reasons for the decline of power generation efficiency. In-depth study of the power generation behavior of the power plant in the past year, and analysis of 20 reasons for the decline in power generation.

Efficiency measurement of the tracking system

Wire loss and connector breakage

MPPT/Converter Efficiency

Inverter wakes up late

Major Analysis Items

Wire loss and connector breakage

Inverter wakes up late

MPPT/Converter Efficiency

Efficiency measurement of the tracking system

frequency deviation	Converter data integrity	Inverter wakes up late
Abnormal temperature coefficient	Converter Clipping	Converter failure
Device disconnection	Voltage deviation	Abnormal power factor
Solar Meter Data Integrity	Tandem power generation performance	Abnormal temperature alarm
Environmental sensor failure	Tandem Generation Data Integrity	Converter/AC meter power generation ratio
Environmental Sensor Data Consistency	MPPT exception	Transformer is inefficient
Solar module clean/dirty	Converter efficiency below specification	Transformer temperature is abnormal
Vegetation needs pruning	The relative efficiency of the converter is abnormal

Major Analysis Items

Frequency deviation, abnormal temperature coefficient, equipment disconnection, solar meter data integrity, environmental sensor failure, environmental sensor data consistency, solar module cleaning/dirty, vegetation needs pruning, inverter data integrity

MashIt
Converter failure, abnormal power factor, abnormal temperature alarm, converter/AC meter power generation ratio, poor transformer efficiency, abnormal temperature of transformer

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Converter failure, abnormal power factor, abnormal temperature alarm, converter/AC meter power generation ratio, poor transformer efficiency, abnormal temperature of transformer

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Complete benefit analysis

In-depth study of the behavior of a single string, converter and environmental monitoring equipment, excluding the influence of sunlight and temperature coefficients, and mathematical logic analysis of abnormal causes to quantify the recoverable power generation benefits.

instant status display

The AI distribution map instantly displays the electrical row of each string and converter, compares the actual and expected performance curves to find the error range, and locks the physical position to instantly lock the abnormal position.

Troubleshooting

The maintenance and operation plan calculates the wholesale amount that can be recovered after each abnormality is repaired. The manager can prioritize and put the limited maintenance and operation resources on the abnormality that can recover the most benefit.

Precise health diagnosis

The scientific AI algorithm applies the ROI-based health diagnosis plan, conducts detailed analysis and diagnosis for each abnormal failure cause of the power plant, and provides complete repair plans and suggestions.