Fault detection method, fault detection apparatus for photovoltaic module and computer-readable storage medium

1. A fault detection method for a photovoltaic module, comprising:

capturing an image of the photovoltaic module in a light emitting state; and

performing detection on the photovoltaic module based on the image when a signal-to-noise ratio of the image is maximized, to identify a fault type of the photovoltaic module;

wherein the photovoltaic module emits light in response to action of power supply equipment;

wherein the fault detection method further comprises:

determining whether the signal-to-noise ratio of the image is maximized; and

when the signal-to-noise ratio of the image is not maximized, sending an adjustment instruction to a power supply equipment to adjust a power supply parameter of the power supply equipment until the signal-to-noise ratio of the image is maximized;

wherein the sending an adjustment instruction to the power supply equipment to adjust a power supply parameter of the power supply equipment comprises: sending the adjustment instruction to the power supply equipment, so that the power supply equipment adjusts the power supply parameter based on a preset curve or a reference curve; and wherein the power supply parameter comprises a current parameter, a voltage parameter, or a power parameter; and corresponding to the power supply parameter, the preset curve is a preset current curve, a preset voltage curve, or a preset power curve; and corresponding to the power supply parameter, the reference curve comprises a current-voltage reference curve, a power-voltage reference curve, or a power-current reference curve.

2. The fault detection method according to claim 1 , wherein when the signal-to-noise ratio of the image is maximized, resolution of the image is highest.

3. A fault detection apparatus for a photovoltaic module, wherein the fault detection apparatus comprises:

an image capture device configured to capture an image of the photovoltaic module in a light emitting state; and

a processor configured to perform fault detection on the photovoltaic module based on the image when a signal-to-noise ratio of the image is maximized, to identify a fault type of the photovoltaic module;

wherein the photovoltaic module emits light in response to action of power supply equipment;

wherein the processor is configured to determine whether the signal-to-noise ratio of the image is maximized, and when the signal-to-noise ratio of the image is not maximized, send an adjustment instruction to the power supply equipment to adjust a power supply parameter of the power supply equipment until the signal-to-noise ratio of the captured image is maximized;

and wherein the power supply equipment is configured to adjust the power supply parameter based on the adjustment instruction and a preset curve, and wherein the power supply parameter comprises a current parameter, a voltage parameter, or a power parameter; and corresponding to the power supply parameter, the preset curve comprises a preset current curve, a preset voltage curve, or a preset power curve.

4. The fault detection apparatus according to claim 3 , wherein the power supply parameter comprises a first power supply parameter segment and a second power supply parameter segment; the fault type comprises a first fault type and a second fault type; and the first power supply parameter segment corresponds to the first fault type, and the second power supply parameter segment corresponds to the second fault type.

5. The fault detection apparatus according to claim 3 , wherein the power supply parameter comprises a first power supply parameter segment and a second power supply parameter segment; the fault type comprises a first fault type and a second fault type; and the first power supply parameter segment corresponds to the first fault type, and the second power supply parameter segment corresponds to the second fault type.

6. The fault detection apparatus according to claim 3 , wherein when the signal-to-noise ratio of the image is maximized, resolution of the image is highest.

7. A computer-readable storage medium, wherein the computer-readable storage medium stores a program instruction, wherein when the program instruction is executed by a device comprising a processor, the instructions cause the device to:

capture an image of the photovoltaic module in a light emitting state; and

perform fault detection on the photovoltaic module based on the image when a signal-to-noise ratio of the image is maximized, to identify a fault type of the photovoltaic module;

wherein the photovoltaic module emits light in response to action of power supply equipment;

wherein the instructions further cause the device to:

determine whether the signal-to-noise ratio of the image is maximized; and

when the signal-to-noise ratio of the image is not maximized, send an adjustment instruction to a power supply equipment to adjust a power supply parameter of the power supply equipment until the signal-to-noise ratio of the image is maximized;

wherein the send an adjustment instruction to the power supply equipment to adjust a power supply parameter of the power supply equipment comprises: send the adjustment instruction to the power supply equipment, so that the power supply equipment adjusts the power supply parameter based on a preset curve or a reference curve; and wherein the power supply parameter comprises a current parameter, a voltage parameter, or a power parameter; and corresponding to the power supply parameter, the preset curve is a preset current curve, a preset voltage curve, or a preset power curve; and corresponding to the power supply parameter, the reference curve comprises a current-voltage reference curve, a power-voltage reference curve, or a power-current reference curve.