# US 12,009,783 B2 · Fault detection method, fault detection apparatus for photovoltaic module and computer-readable storage medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,009,783 B2 - Document ID: US12009783B2 - Status: Granted - Kind: B2 - Application number: 17/473,534 - Filed: 2021-09-13 - Published: 2021-12-30 - Granted: 2024-06-11 - Earliest claimed: 2019-09-26 - Assignees: Huawei Digital Power Technologies Co., Ltd. - Applicants: Huawei Digital Power Technologies Co., Ltd. - Inventors: Jianqiang Wang; Song Wan; Yanzhong Zhang; Yongbing Gao; Xinyu Yu - Web page: https://patentgrep.com/patent/US12009783B2 ## CPC - H02S 50/10: Testing of PV devices, e.g. of PV modules or single PV cells (testing of semiconductor devices during manufacturing {H10P74/00}) - H02S 50/15: using optical means, e.g. using electroluminescence - H02H 1/0007: {concerning the detecting means (in general G01R or other subclasses of G01; reed switches H01H71/2445)} - H02H 7/20: for electronic equipment (for converters H02H7/10; for electric measuring instruments G01R1/36; for DC voltage or current semiconductor regulators G05F1/569; for amplifiers H03F1/52; for electronic switching circuits H03K17/08) - Y02E 10/50: Photovoltaic [PV] energy - H02S: GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES (obtaining electrical energy from radioactive sources G21H1/12; light sensitive inorganic semiconductor devices H10F; light sensitive organic semiconductor devices H10K30/00; thermoelectric devices H10N10/00; pyroelectric devices H10N15/00) - H02H: EMERGENCY PROTECTIVE CIRCUIT ARRANGEMENTS (indicating or signalling undesired working conditions G01R, e.g. G01R31/00, G08B; locating faults along lines G01R31/08; emergency protective devices H01H) - Y02E: REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION ## Abstract A fault detection apparatus includes an image capture module and a detection module, and the fault detection apparatus is configured to capturing an image of the photovoltaic module in a light emitting state, and performing 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. ## Claims ### Claim 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. ### Claim 2 (depends on 1) 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. ### Claim 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. ### Claim 4 (depends on 3) 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. ### Claim 5 (depends on 3) 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. ### Claim 6 (depends on 3) 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. ### Claim 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.