Photovoltaic power station lightning protection device and maintenance method thereof

Abstract

The invention relates to a photovoltaic power station lightning protection device maintenance method, and relates to the field of photovoltaic equipment, and the method comprises the steps: obtaining the power-on voltage of a power-on line; when the power-on voltage falls into the preset lightning stroke interval, acquiring the preset bulb brightness of the metal halide lamp; matching overvoltage brightness from a preset overvoltage brightness matching model according to the power-on voltage; a lightning stroke light difference is determined according to the bulb brightness and the overvoltage brightness; when the lightning stroke light difference exceeds a preset brightness error interval, obtaining a device number of the lightning protection device; matching a damage warning parameter from a preset damage warning parameter model according to the device number; and controlling a preset warning device to give a damage warning according to the damage warning parameter. According to the invention, the working stability of the photovoltaic power station is improved, and the working personnel can be helped to rapidly know the surge condition in the electrified line.

Description

Technical Field

[0001] The present invention relates to the field of photovoltaic equipment, and in particular to a photovoltaic power station lightning protection device and a maintenance method thereof. Background Art

[0002] A photovoltaic power station refers to a power generation facility that uses solar panels to convert solar energy into electrical energy. It is mainly composed of solar panels, inverters, controllers and other auxiliary equipment.

[0003] In the prior art, the inverter of a photovoltaic power station has a weak ability to withstand lightning overvoltage, and generally requires additional overvoltage protection equipment. Overvoltage protection mainly uses three methods: SPD, gas discharge tube and transient voltage suppression diode. SPD, gas discharge tube and transient voltage suppression diode are used to reduce the instantaneous voltage in the power line when the photovoltaic power station is struck by lightning, so that the staff can adjust the equipment in time to reduce the situation where surges in the power line cause damage to the equipment.

[0004] When a photovoltaic power station is hit by a severe lightning strike, it is difficult for workers to detect the surge in the power line from the outside, resulting in the inability to adjust the equipment according to the surge in time, which in turn causes equipment damage. Summary of the invention

[0005] In order to improve the working stability of a photovoltaic power station and help the staff to quickly understand the surge situation in the energized line, the present invention provides a maintenance method for a lightning protection device of a photovoltaic power station.

[0006] In a first aspect, the present application provides a maintenance method for a photovoltaic power station lightning protection device, which adopts the following technical solution:

[0007] A maintenance method for a photovoltaic power station lightning protection device, comprising:

[0008] Obtaining the energized voltage of the energized circuit;

[0009] When the power-on voltage falls into a preset lightning strike interval, the preset bulb brightness of the metal halide lamp is obtained;

[0010] Matching the overvoltage brightness from a preset overvoltage brightness matching model according to the power-on voltage;

[0011] Determine the lightning strike light difference based on the bulb brightness and overvoltage brightness;

[0012] When the lightning strike light difference exceeds a preset brightness error range, the device number of the lightning protection device is obtained;

[0013] Matching damage warning parameters from a preset damage warning parameter model according to the device number;

[0014] According to the damage warning parameter, a preset warning device is controlled to issue a damage warning.

[0015] By adopting the above technical scheme, metal halide lamps are used to reflect the voltage status in the power-on lines, and the voltage of the power-on lines is monitored to determine whether the photovoltaic power station is struck by lightning. When the photovoltaic power station is struck by lightning, the brightness of the metal halide lamps is detected to determine whether the metal halide lamps are working normally. Then, when the metal halide lamps are not working normally, the staff is notified in time through the warning device, thereby reducing the damage of the metal halide lamps, helping the staff to quickly understand the surge conditions in the power-on lines, and improving the stability of the photovoltaic power station.

[0016] Optionally, a method for obtaining the brightness of a light bulb is also included, and the method for obtaining the brightness of a light bulb includes:

[0017] When the power-on voltage falls into a preset lightning strike interval, controlling a preset photographing device to obtain a reference image;

[0018] matching the shooting position from a preset shooting position recognition model according to the reference image;

[0019] Matching a shooting itinerary from a preset shooting itinerary matching model according to the shooting position;

[0020] Controlling a shooting device preset on the metal housing to obtain a brightness image according to the shooting stroke;

[0021] The bulb brightness is matched from a preset bulb brightness matching model according to the brightness image.

[0022] By adopting the above technical solution, the actual position of the shooting device is first determined by the reference image, and a shooting itinerary is planned to go to a predetermined position to shoot the metal halide lamp according to the actual position of the shooting device. Finally, the brightness of the metal halide lamp is identified from the image of the metal halide lamp.

[0023] Optionally, the method for obtaining the brightness of the light bulb further includes:

[0024] Matching the ambient brightness from a preset ambient brightness matching model according to the reference image;

[0025] When the ambient brightness falls into the preset interference interval, the illumination direction is matched from the preset ambient light illumination direction recognition model according to the reference image;

[0026] Matching a backlight position interval from a preset backlight position interval matching model according to the illumination direction;

[0027] The shooting stroke is matched from a preset backlight stroke matching model according to the backlight position interval and the shooting position.

[0028] By adopting the above technical solution, external light can easily affect the detection result of the brightness of the metal halide lamp. When the intensity of external light is high, the shooting direction of the shooting device is adjusted according to the irradiation direction of the external light, thereby reducing the situation where the external light directly enters the lens of the shooting device.

[0029] Optionally, the method for obtaining the brightness of the light bulb further includes:

[0030] Get the light bulb image;

[0031] Determine whether there are multiple lighted light bulbs in the light bulb image from a preset light bulb identification model according to the light bulb image;

[0032] When there are multiple lighted light bulbs in the light bulb image, the light bulb positions are matched from a preset light bulb position recognition model according to the light bulb image;

[0033] Matching the light bulb position from a preset light bulb position recognition model according to the brightness image;

[0034] Match the light direction from a preset light direction recognition model according to the light bulb position and the light on position;

[0035] Matching the backlight position interval from a preset backlight position interval matching model according to the light direction;

[0036] The shooting stroke is matched from a preset backlight stroke matching model according to the backlight position interval and the shooting position.

[0037] By adopting the above technical scheme, the brightness of other metal halide lamps can easily affect the brightness detection result of the metal halide lamp being detected. The shooting direction of the shooting device is adjusted according to the relative positions of the metal halide lamp being detected and the lit metal halide lamp, thereby reducing the situation where the light of other metal halide lamps directly enters the lens of the shooting device.

[0038] Optionally, the method for acquiring the light bulb image includes:

[0039] Matching a shooting angle from a preset shooting angle matching model according to the reference image;

[0040] determining whether the light bulbs in the reference image overlap according to the shooting angle and the shooting position from a preset light bulb overlap determination model;

[0041] Judging whether a light bulb in the reference image is missing from a preset light bulb missing judgment model according to a shooting angle and a shooting position;

[0042] When the light bulbs in the reference image overlap and / or are missing, an image acquisition itinerary is matched from a preset image acquisition itinerary matching model according to the shooting angle and the shooting position;

[0043] According to the image acquisition stroke, a preset shooting device is controlled to acquire the image of the light bulb.

[0044] By adopting the above technical solution, it is determined whether the reference image can fully display the working condition of the metal halide lamp on the lightning protection device of the photovoltaic power station, and when the metal halide lamp information on the reference image is missing, the position and shooting angle of the shooting device are adjusted to obtain a new image.

[0045] Optionally, a damage analysis method is also included, and the damage analysis method includes:

[0046] When the lightning strike light difference exceeds the preset brightness error range, the detection stroke is matched from the preset detection stroke matching model according to the position of the bulb;

[0047] Controlling a preset shooting device to acquire a detection image set of the metal halide lamp in a surrounding manner according to the detection stroke;

[0048] Determine whether the metal halide lamp is damaged based on the detection image set from the preset bulb appearance detection model;

[0049] When the metal halide lamp is damaged, the damage parameters of the lamp are matched from the preset lamp damage parameter matching model according to the device number;

[0050] According to the bulb damage parameters, a preset warning device is controlled to issue a bulb damage warning.

[0051] By adopting the above technical solution, when the metal halide lamp does not work normally, images of the metal halide lamp at various angles are obtained through the shooting device, and damage features are identified from the images. When the damage features are identified, it is determined that the bulb is damaged, and the staff is promptly reminded that the bulb is damaged and needs to be replaced with a new one.

[0052] Optionally, the damage analysis method further includes:

[0053] When the metal halide lamp is not damaged, the lamp model is matched from the preset metal halide lamp database according to the detection image set;

[0054] Matching the interference interval from a preset interference interval matching model according to the bulb model, and obtaining a preset pressure value at the bottom of the lamp holder;

[0055] When the pressure value is lower than the conflict interval, the bulb loosening parameter is matched from the preset bulb loosening parameter matching model according to the device number;

[0056] Controlling a preset warning device to issue a bulb loosening warning according to the bulb loosening parameter;

[0057] When the pressure value exceeds the conflict interval, the bulb over-tightening parameter is matched from the preset bulb over-tightening parameter matching model according to the device number;

[0058] According to the bulb over-tightening parameter, a preset warning device is controlled to issue a bulb over-tightening warning.

[0059] By adopting the above technical scheme, the installation condition of the metal halide lamp on the lamp holder is judged according to the resistance pressure value between the metal halide lamp and the lamp holder, so as to remind the staff to make timely adjustments when the metal halide lamp is not installed properly, resulting in poor contact between the metal halide lamp and the lamp holder, and thus causing the metal halide lamp to fail to work normally.

[0060] Optionally, the damage analysis method further includes:

[0061] When the pressure value is lower than the preset resistance interval, the bulb number is determined according to the bulb position;

[0062] Retrieve pressure parameters from a preset pressure parameter database according to the device number and the bulb number;

[0063] Determine whether a pressure jump occurs in the preset pressure jump recognition model according to the pressure parameter;

[0064] When the pressure value jumps, the lamp holder cracking parameter is matched from the preset lamp holder cracking parameter matching model according to the device number;

[0065] According to the cracking parameters of the lamp holder, a preset warning device is controlled to issue a lamp holder cracking warning.

[0066] By adopting the above technical solution, when the lamp holder cracks, it is easy to cause the metal halide lamp installed on the lamp holder to loosen. By retrieving the historical change records of the pressure value, it is identified whether there is a sudden decrease in the pressure value, and it is judged that the sudden decrease in the pressure value is the moment when the lamp holder cracks, so that the staff can be reminded in time when the pressure value suddenly decreases.

[0067] Optionally, the damage analysis method further includes:

[0068] When the pressure value jumps, determine the device location based on the device number;

[0069] Determine inspection routes based on device locations;

[0070] Control the preset UAV to fly around the lightning protection device according to the inspection path and obtain the lamp holder image;

[0071] Determine the crack location based on the lamp holder image;

[0072] Determining the crack area based on the crack location;

[0073] The cracking parameters of the lamp holder are matched according to the device number, cracking location and cracking area.

[0074] By adopting the above technical solution, when there is a crack in the lamp holder, the appearance of the lamp holder can be inspected by surrounding it with a drone, so as to locate the position of the crack on the lamp holder and determine the size of the crack, thereby notifying the staff of the exact situation of the crack and facilitating the staff to carry out repairs.

[0075] Optionally, the damage analysis method further includes:

[0076] When the crack area is below a preset repair threshold, determining the crack width based on the crack location;

[0077] When the crack width is lower than a preset fixation threshold, the fixation position is determined based on the lamp holder image;

[0078] Determine the repair path based on the fixed position;

[0079] The preset drone is controlled according to the repair path to spray the preset repair material to a fixed position.

[0080] By adopting the above technical solution, when the crack on the lamp holder is small, the crack width is detected, so that when the crack width is small, the repair material is injected into the lamp holder by the drone, thereby repairing the lamp holder and reducing the cracking of the lamp holder.

[0081] In summary, the present application includes at least one of the following beneficial technical effects:

[0082] 1. Use metal halide lamps to reflect the voltage status in the power lines, and monitor the voltage of the power lines to determine whether the photovoltaic power station is struck by lightning. When the photovoltaic power station is struck by lightning, the brightness of the metal halide lamps is detected to determine whether the metal halide lamps are working normally. Then, when the metal halide lamps are not working properly, the staff is notified in time through the warning device, thereby reducing the damage of the metal halide lamps, helping the staff to quickly understand the surge conditions in the power lines, and improving the stability of the photovoltaic power station;

[0083] 2. First, determine the actual position of the camera through the reference image, and plan a shooting itinerary to the predetermined position to shoot the metal halide lamp according to the actual position of the camera, and finally identify the brightness of the metal halide lamp from the image of the metal halide lamp;

[0084] 3. External light can easily affect the detection result of the brightness of the metal halide lamp. When the external light intensity is high, the shooting direction of the shooting device is adjusted according to the irradiation direction of the external light, so as to reduce the situation where the external light directly enters the lens of the shooting device. BRIEF DESCRIPTION OF THE DRAWINGS

[0085] Figure 1 It is a flow chart of a maintenance method of a lightning protection device for a photovoltaic power station;

[0086] Figure 2This is the process of obtaining the brightness of the bulb Figure 1 ;

[0087] Figure 3 This is the process of obtaining the brightness of the bulb Figure 2 ;

[0088] Figure 4 This is the process of obtaining the brightness of the bulb Figure 3 ;

[0089] Figure 5 is a flow chart of a method for acquiring a light bulb image;

[0090] Figure 6 The process of damage analysis method Figure 1 ;

[0091] Figure 7 The process of damage analysis method Figure 2 ;

[0092] Figure 8 The process of damage analysis method Figure 3 . DETAILED DESCRIPTION

[0093] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0094] The embodiment of the present application discloses a maintenance method for a lightning protection device of a photovoltaic power station. The present invention adopts a metal halide lamp to reflect the voltage condition in a power-on line, and monitors the voltage of the power-on line to determine whether the photovoltaic power station is struck by lightning. When the photovoltaic power station is struck by lightning, the brightness of the metal halide lamp is detected to determine whether the metal halide lamp is working normally. When the metal halide lamp is not working normally, the staff is notified in time through an alarm device, thereby reducing the damage of the metal halide lamp, helping the staff to quickly understand the surge condition in the power-on line, and improving the stability of the operation of the photovoltaic power station.

[0095] Reference Figure 1 , a maintenance method for a photovoltaic power station lightning protection device, comprising:

[0096] Step 100: Obtain the energized voltage of the energized circuit.

[0097] The power-on voltage refers to the real-time voltage value of the power-on line. The power-on voltage can be obtained through a voltmeter. The method for obtaining the power-on voltage is selected by the staff based on actual conditions and will not be elaborated here.

[0098] Step 101: When the power-on voltage falls into a preset lightning strike interval, a preset bulb brightness of the metal halide lamp is obtained.

[0099] Metal halide lamps refer to light bulbs installed on lightning protection devices. The trigger voltage of metal halide lamps is relatively large, so they can be triggered to light up when a surge occurs in the power line to show the circuit status. The lightning strike interval refers to the instantaneous voltage surge interval of the power line after the photovoltaic power station is struck by lightning. The metal halide lamp and the lightning strike interval are selected by the staff according to the actual situation and will not be elaborated here. The brightness of the bulb refers to the light intensity value of the metal halide lamp. The method of obtaining the brightness of the bulb is selected by the staff according to the actual situation and will not be elaborated here.

[0100] Step 102: matching the overvoltage brightness from a preset overvoltage brightness matching model according to the power-on voltage.

[0101] The overvoltage brightness matching model refers to a neural network model that has been trained with samples in advance. The overvoltage brightness matching model can predict the intensity of light emitted by the metal halide lamp based on the size of the power-on voltage. The overvoltage brightness is the light intensity result obtained by matching the overvoltage brightness matching model. The overvoltage brightness matching model is common knowledge to people in this field and will not be elaborated here.

[0102] Step 103: Determine the lightning strike light difference according to the bulb brightness and the overvoltage brightness.

[0103] The lightning strike light difference is the difference between the actual intensity value of the metal halide lamp light and the predicted intensity value.

[0104] Step 104: When the lightning strike light difference exceeds a preset brightness error range, the device number of the lightning protection device is obtained.

[0105] The brightness error range refers to the range of light intensity values ​​within which the metal halide lamp is allowed to experience light intensity fluctuations. The brightness error range is selected by the staff based on actual conditions and will not be elaborated here.

[0106] The device number refers to the number set in advance to distinguish the lightning protection device of the photovoltaic power station. The device number corresponds one-to-one to the lightning protection device of the photovoltaic power station. The method for obtaining the device number is selected by the staff according to the actual situation and will not be elaborated here.

[0107] Step 105: Match the damage warning parameter from the preset damage warning parameter model according to the device number.

[0108] The warning device refers to a device used to notify the staff. The warning device is selected by the staff according to the actual situation and will not be described in detail here. The damage warning parameter model refers to a neural network model that has been trained with samples in advance. The damage warning parameter model can match the damage warning parameters that warn the staff of the failure of the photovoltaic power station lightning protection device through the warning device. The damage warning parameter model is common knowledge among people in this field and will not be described in detail here.

[0109] Step 106: Control a preset warning device to issue a damage warning according to the damage warning parameter.

[0110] The brightness of the metal halide lamp is detected when the power-on circuit is over-voltage, so as to determine that the lightning protection device is faulty when the brightness of the metal halide lamp is abnormal, and then promptly remind the staff through the warning device, thereby reducing the situation where the metal halide lamp is damaged and the staff cannot timely understand the voltage status of the power supply line. The damage warning is a warning issued by the warning device according to the damage warning parameters.

[0111] Reference Figure 2 , the methods for obtaining the brightness of the bulb include:

[0112] Step 200: When the power-on voltage falls into a preset lightning strike interval, a preset photographing device is controlled to obtain a reference image of the metal halide lamp.

[0113] The photographing device refers to a device used to obtain an image of the metal halide lamp to determine the working status of the lightning protection device. The photographing device can be moved by a track preset on the metal shell of the lightning protection device. The photographing device is selected by the staff according to the actual situation and will not be described in detail here. The reference image refers to the image taken by the photographing device at the current position. The method for obtaining the reference image is selected by the staff according to the actual situation and will not be described in detail here.

[0114] Step 201: Matching a shooting position from a preset shooting position recognition model according to a reference image.

[0115] The shooting position recognition model refers to a neural network model that has been trained with samples in advance. The shooting position recognition model can determine the shooting position of the shooting device on the lightning protection device based on the part of the lightning protection device displayed in the reference image. The shooting position recognition model is common knowledge among people in this field and will not be elaborated here.

[0116] Step 202: matching a shooting itinerary from a preset shooting itinerary matching model according to the shooting position.

[0117] The shooting stroke matching model refers to a neural network model that has been trained with samples in advance. The shooting stroke matching model can match the shooting stroke of the shooting device from the current shooting position to the preset fixed position for obtaining the image of the metal halide lamp, wherein the shooting device is always facing the metal halide lamp. The fixed position refers to a position set in advance for obtaining the complete image of the metal halide lamp. A metal halide lamp may be provided with multiple fixed positions, and the shooting stroke matching model is used to select the fixed position closest to the shooting position. When there are multiple metal halide lamps, the fixed position of each metal halide lamp is selected first, and then the shooting stroke matching model is used to match the shooting stroke that passes through the fixed positions of different metal halide lamps in sequence. The shooting stroke matching model is common knowledge known to personnel in this field and will not be elaborated here.

[0118] Step 203: controlling a shooting device preset on the metal housing to acquire a brightness image according to the shooting stroke.

[0119] The brightness image refers to the image obtained when the shooting device reaches a fixed position during the shooting journey. The method for obtaining the brightness image is selected by the staff according to the actual situation and will not be elaborated here.

[0120] Step 204: Match the bulb brightness from a preset bulb brightness matching model according to the brightness image.

[0121] The bulb brightness matching model refers to a neural network model that has been trained with samples in advance. The bulb brightness matching model can identify the light intensity value emitted by the metal halide lamp in the brightness image and define the light intensity value as the bulb brightness. The bulb brightness matching model is common knowledge among people in this field and will not be elaborated here.

[0122] Reference Figure 3 , the method for obtaining the brightness of the bulb also includes:

[0123] Step 205: Match the ambient brightness from a preset ambient brightness matching model according to the reference image.

[0124] The ambient brightness matching model refers to a neural network model that has been trained with samples in advance. The ambient brightness matching model can identify the light intensity of the external light in the environment where the metal halide lamp shown in the reference image is located, and define the light intensity as the ambient brightness, where the external light can be sunlight or other lighting equipment. The ambient brightness matching model is common knowledge among people in this field and will not be elaborated here.

[0125] Step 206: When the ambient brightness falls into a preset interference interval, the illumination direction is matched from a preset ambient light illumination direction recognition model according to the reference image.

[0126] The interference interval refers to the light intensity value interval where external light can easily affect the light intensity test result of the metal halide lamp. The interference interval is selected by the staff according to the actual situation and will not be described here. If the ambient brightness falls into the interference interval, the detected bulb brightness may be inaccurate and it is necessary to reduce the influence of external light and obtain it again.

[0127] The ambient light direction recognition model refers to a neural network model that has been trained with samples in advance. The ambient light direction recognition model can recognize the main radiation direction of the external light, where the main radiation direction refers to the direction of the part of the light with the highest light intensity value in the external light. The ambient light direction recognition model is common knowledge among people in this field and will not be elaborated here.

[0128] Step 207: matching a backlight position interval from a preset backlight position interval matching model according to the illumination direction.

[0129] The backlight position interval matching model refers to a neural network model that has been trained with samples in advance. The backlight position interval matching model can match the backlight position interval in the track of the metal shell that is located in the direction facing the external light, wherein the direction facing the light refers to the light-facing part of the two parts divided by a dividing line centered on the metal halide lamp and oriented in the direction perpendicular to the irradiation direction. The backlight position interval matching model is common knowledge to those skilled in the art and will not be elaborated here.

[0130] Step 208: matching a shooting stroke from a preset backlight stroke matching model according to the backlight position interval and the shooting position.

[0131] The backlight stroke matching model refers to a neural network model that has been trained with samples in advance. The backlight stroke matching model can select a fixed position that falls within the backlight position interval, and then select a fixed position that is closest to the shooting position from the selected fixed positions, thereby matching the backlight position interval from the shooting position to the fixed position. The backlight stroke matching model is common knowledge among people in this field and will not be elaborated here.

[0132] When the external light is strong, the shooting device is controlled to reach the light-facing side of the metal halide lamp so that the shooting direction of the shooting device is close to the irradiation direction of the external light, thereby reducing the situation where the external light directly enters the shooting device and causes errors in the brightness detection results of the metal halide lamp.

[0133] Reference Figure 4 , the method for obtaining the brightness of the bulb also includes:

[0134] Step 209: Acquire the light bulb image.

[0135] The bulb image refers to a picture used to show the working status of all metal halide lamps on the lightning protection device. The bulb image is obtained by a shooting device. The method for obtaining the bulb image is selected by the staff according to the actual situation and will not be elaborated here.

[0136] Step 210: Determine whether there are multiple lighted light bulbs in the light bulb image from a preset light-on recognition model according to the light bulb image.

[0137] The lighting recognition model refers to a neural network model that has been trained with samples in advance. The lighting recognition model can recognize the number of metal halide lamps that are glowing in the bulb image. The lighting recognition model is common knowledge among people in this field and will not be described in detail here.

[0138] Step 211: When there are multiple lighted light bulbs in the light bulb image, the light positions are matched from a preset light position recognition model according to the light bulb image.

[0139] The lighting position recognition model refers to a neural network model that has been trained with samples in advance. The lighting position recognition model can match the lighting position of each light bulb that is glowing from the light bulb image. The lighting position recognition model is common knowledge among people in this field and will not be elaborated here.

[0140] Step 212: Match the light bulb position from a preset light bulb position recognition model according to the brightness image.

[0141] The bulb position recognition model refers to a neural network model that has been trained with samples in advance. The bulb position recognition model can recognize the bulb position of the metal halide lamp being detected from the brightness image. The bulb position recognition model is common knowledge to those skilled in the art and will not be described in detail here.

[0142] Step 213: Match the light direction from a preset light direction recognition model according to the light bulb position and the light-on position.

[0143] The light direction recognition model refers to a neural network model that has been trained with samples in advance. The light direction recognition model can determine the light direction when the light emitted from the lighting position is directed toward the light bulb position based on the relative positions of the light bulb position and the lighting position. The light direction recognition model is common knowledge among people in this field and will not be elaborated here.

[0144] Step 214: Match the backlight position interval from the preset backlight position interval matching model according to the light direction.

[0145] The backlight position interval matching model refers to a neural network model that has been trained with samples in advance. The backlight position interval matching model is the backlight position interval located in the light-facing direction in the track of the metal shell. The light-facing direction refers to the light-facing part of the two parts divided by a dividing line centered on the metal halide lamp and oriented in the vertical direction of the light. Different light-facing parts are matched according to different light directions, and the overlapping parts are selected as the backlight position interval. The backlight position interval matching model is common knowledge among people in this field and will not be elaborated here.

[0146] Step 215: Matching a shooting stroke from a preset backlight stroke matching model according to the backlight position interval and the shooting position.

[0147] When there are at least two metal halide lamps emitting light on the lightning protection device, the shooting device is controlled to reach the light-facing side of the metal halide lamp so that the shooting direction of the shooting device is close to the direction of the light, thereby reducing the situation where the light emitted by other metal halide lamps directly enters the shooting device and causes errors in the brightness detection results of the metal halide lamp being detected.

[0148] Reference Figure 5 , the method for obtaining the light bulb image includes:

[0149] Step 300: Match the shooting angle from a preset shooting angle matching model according to the reference image.

[0150] The shooting angle matching model refers to a neural network model that has been trained with samples in advance. The shooting angle matching model can determine the shooting angle of the shooting device from the reference image. The shooting angle matching model is common knowledge among people in this field and will not be elaborated here.

[0151] Step 301: judging whether light bulbs in a reference image overlap according to a shooting angle and a shooting position from a preset light bulb overlap judgment model.

[0152] The bulb overlap judgment model refers to a neural network model that has been trained with samples in advance. The bulb overlap judgment model can judge whether there are overlapping parts of the metal halide lamps in the reference image. The bulb overlap judgment model is common knowledge among people in this field and will not be described here.

[0153] Step 302: judging whether the light bulb in the reference image is missing from a preset light bulb missing judgment model according to the shooting angle and shooting position.

[0154] The bulb missing judgment model refers to a neural network model trained with samples in advance. The bulb missing judgment model can judge whether the number of metal halide lamps in the reference image is missing. The bulb missing judgment model is common knowledge in this field and will not be elaborated here.

[0155] Step 303: When the light bulbs in the reference image overlap and / or are missing, an image acquisition stroke is matched from a preset image acquisition stroke matching model according to the shooting angle and the shooting position.

[0156] The image acquisition stroke matching model refers to a neural network model that has been trained with samples in advance. The image acquisition stroke matching model can match the image acquisition stroke that enables the shooting device to be adjusted from the shooting position and shooting angle to acquire images of the metal halide lamps on all lightning protection devices. The image acquisition stroke matching model is common knowledge among people in this field and will not be elaborated here.

[0157] Step 304: controlling a preset photographing device to acquire the image of the light bulb according to the image acquisition process.

[0158] When the metal halide lamps on the reference image overlap or are missing in number, the working status of all the metal halide lamps on the lightning protection device cannot be determined through the reference image. In this case, the position and direction of the shooting device are adjusted to obtain a complete image.

[0159] Reference Figure 6 , damage analysis methods include:

[0160] Step 400: When the lightning strike light difference exceeds a preset brightness error range, a detection stroke is matched from a preset detection stroke matching model according to the position of the light bulb.

[0161] The detection stroke matching model refers to a neural network model that has been trained with samples in advance. The detection stroke matching model can match the detection stroke that controls the shooting device to surround the metal halide lamp. The detection stroke matching model is common knowledge among people in this field and will not be elaborated here.

[0162] Step 401: Control a preset shooting device to acquire a detection image set of the metal halide lamp in a circle according to the detection stroke.

[0163] The detection image set is a set of images formed by the camera capturing images at a fixed period when the camera surrounds the metal halide lamp according to the detection stroke.

[0164] Step 402: Determine whether the metal halide lamp is damaged from a preset bulb appearance detection model according to the detection image set.

[0165] The light bulb appearance detection model refers to a neural network model that has been trained with samples in advance. The light bulb appearance detection model can determine whether there are damage features on the metal halide lamp in the detection image set. Damage features include breakage, cracks, and black burnt marks. When damage features exist on the metal halide lamp, it is determined that the metal halide lamp is damaged. The light bulb appearance detection model is common knowledge among people in this field and will not be elaborated here.

[0166] Step 403: When the metal halide lamp is damaged, the lamp damage parameters are matched from a preset lamp damage parameter matching model according to the device number.

[0167] The bulb damage parameter matching model refers to a neural network model that has been trained with samples in advance. The bulb damage parameter matching model can match the bulb damage parameters that notify the staff of the damage of the metal halide lamp through the warning device. The bulb damage parameter matching model is common knowledge among people in this field and will not be elaborated here.

[0168] Step 404: Control a preset warning device to issue a bulb damage warning according to the bulb damage parameter.

[0169] When it is determined that the metal halide lamp is damaged, the staff is notified through the warning device, thereby facilitating the staff to perform maintenance in a timely manner.

[0170] Reference Figure 7 , damage analysis methods also include:

[0171] Step 405: When the metal halide lamp is not damaged, the lamp model is matched from a preset metal halide lamp database according to the detection image set.

[0172] The metal halide lamp database refers to a pre-set database that records the appearance of various models of metal halide lamps, and the lamp model is the model of the metal halide lamp matched from the metal halide lamp database by detecting the image set.

[0173] Step 406: Match the interference interval from the preset interference interval matching model according to the bulb model, and obtain the preset pressure value of the bottom of the lamp holder.

[0174] The lamp holder refers to the device used to install the metal halide lamp on the lightning protection device. The lamp head of the metal halide lamp is generally fixed with the lamp holder thread. The lamp holder is selected by the staff according to the actual situation and will not be described in detail here. The conflict interval matching model refers to a neural network model that has been trained with samples in advance. The conflict interval matching model can match the interval of the pressure value at the bottom of the lamp holder when the metal halide lamp of the bulb model is stably connected to the lamp holder, and define the interval as the conflict interval. The conflict interval matching model is common knowledge known to people in this field and will not be described in detail here.

[0175] The pressure value refers to the pressure on the bottom of the groove on the lamp holder for installing the metal halide lamp. The pressure value can be obtained by a pressure sensor arranged at the bottom of the lamp holder groove. The method for obtaining the pressure value is selected by the staff according to the actual situation and will not be elaborated here.

[0176] Step 407: When the pressure value is lower than the conflict interval, the bulb loosening parameter is matched from a preset bulb loosening parameter matching model according to the device number.

[0177] The pressure value lower than the conflict interval indicates that the metal halide lamp and the lamp holder do not have sufficient conflict. At this time, the metal halide lamp is prone to poor contact with the lamp holder, resulting in the metal halide lamp not being able to work properly. The loose bulb parameter matching model refers to a neural network model trained with samples in advance. The loose bulb parameter matching model can match the loose bulb parameters that notify the staff of the loose metal halide lamp through the warning device. The loose bulb parameter matching model is common knowledge in the field and will not be described here.

[0178] Step 408: Control a preset warning device to issue a bulb loose warning according to the bulb loose parameter.

[0179] When it is determined that the metal halide lamp is loose, the staff is notified through the warning device, thereby facilitating the staff to perform maintenance in a timely manner.

[0180] Step 409: When the pressure value exceeds the conflict interval, the bulb over-tightening parameter is matched from a preset bulb over-tightening parameter matching model according to the device number.

[0181] The pressure value exceeding the conflict interval indicates that the metal halide lamp is too tight in the lamp holder. At this time, the metal halide lamp is prone to poor contact with the lamp holder, resulting in the metal halide lamp not being able to work properly. The bulb over-tightening parameter matching model refers to a neural network model trained with samples in advance. The bulb over-tightening parameter matching model can match the bulb over-tightening parameters that notify the staff of the metal halide lamp over-tightening through the warning device. The bulb over-tightening parameter matching model is common knowledge among people in this field and will not be described here.

[0182] Step 410: Control a preset warning device to issue a bulb over-tightening warning according to the bulb over-tightening parameter.

[0183] When it is determined that the metal halide lamp is over-tightened, the staff is notified through the warning device, thereby facilitating the staff to perform maintenance in a timely manner.

[0184] The cause of the failure of the lightning protection device can be determined in advance based on the pressure value, which makes it convenient for the staff to conduct targeted problem troubleshooting and further facilitates the maintenance of the lightning protection device.

[0185] Reference Figure 8 , damage analysis methods also include:

[0186] Step 411: When the pressure value is lower than the preset conflict interval, the bulb number is determined according to the bulb position.

[0187] The bulb number refers to the pre-set number used to distinguish the metal halide lamps on the lightning protection device. Each bulb number corresponds to a metal halide lamp one by one. The bulb position can be matched with the bulb number corresponding to the bulb position from the pre-set bulb number database. The method of setting the bulb number is selected by the staff according to the actual situation and will not be elaborated here.

[0188] Step 412: Retrieve the pressure parameter from a preset pressure parameter database according to the device number and the bulb number.

[0189] The pressure parameter database refers to a pre-set database that records the historical records of pressure values ​​of different metal halide lamps on each lightning protection device. The pressure parameter is the historical record of pressure values ​​corresponding to the metal halide lamp with the bulb number on the lightning protection device with the device number retrieved from the pressure parameter database.

[0190] Step 413: judging whether a pressure jump occurs in the preset pressure jump recognition model according to the pressure parameter.

[0191] The pressure jump recognition model refers to a neural network model that has been trained with samples in advance. The pressure jump recognition model can recognize whether there is a sudden jump in the pressure value to a lower level in the historical data of the pressure value. When no jump is detected, the data in the pressure parameter database is marked to reduce repeated detection during the next detection. The pressure jump recognition model is common knowledge among people in this field and will not be elaborated here.

[0192] Step 414: When the pressure value jumps, the lamp holder cracking parameter is matched from a preset lamp holder cracking parameter matching model according to the device number.

[0193] A sudden jump in the pressure value to a low level indicates that the lamp holder may be cracked. When the lamp holder is cracked, the metal halide lamp that was originally stably installed may suddenly loosen, causing the pressure value to suddenly decrease. The lamp holder crack parameter matching model refers to a neural network model that has been trained with samples in advance. The lamp holder crack parameter matching model can match the lamp holder crack parameters that notify the staff of the lamp holder crack through the warning device. The lamp holder crack parameter matching model is common knowledge in this field and will not be described in detail here.

[0194] Step 415: Control a preset warning device to issue a lamp holder crack warning according to the lamp holder crack parameter.

[0195] When it is determined that the lamp holder is cracked, the staff is notified through the warning device, thereby facilitating the staff to perform maintenance in a timely manner.

[0196] The changes in pressure values ​​can be identified based on the historical records of pressure values, thereby detecting abnormal jumps, which makes it easier for staff to conduct targeted problem troubleshooting and facilitates the maintenance of lightning protection devices.

[0197] Damage analysis methods also include:

[0198] Step 416: When the pressure value jumps, the device position is determined according to the device number.

[0199] The device location refers to the location of the lightning protection device. The device location can be obtained from the location record table. The location record table refers to a data table that records the device locations corresponding to different device numbers.

[0200] Step 417: Determine the inspection path according to the device location.

[0201] A drone refers to a device used to detect the appearance of a lightning protection device. A drone is generally also equipped with a repair module for injecting repair materials to urgently repair the lightning protection device. The repair material refers to the insulating material used to fix and connect the lightning protection device. The drone and the repair material are selected by the staff according to the actual situation and will not be described in detail here. The inspection path refers to the route taken by the drone to detect the lightning protection device. The inspection path can be automatically generated according to the device location through the drone's supporting path generation program. The method of generating the inspection path is common knowledge among people in this field and will not be described in detail here.

[0202] Step 418: Control the preset UAV to fly around the lightning protection device according to the inspection path and obtain the lamp holder image.

[0203] The lamp holder image refers to a set of images of the lamp holder obtained when the UAV flies around the lightning protection device. The method of obtaining the lamp holder image is selected by the staff according to the actual situation and will not be elaborated here.

[0204] Step 419: Determine the crack position according to the lamp holder image.

[0205] The crack position refers to the position of the crack on the lamp holder. The crack position can be determined by using image recognition technology. The method for determining the crack position is common knowledge to those skilled in the art and will not be elaborated here.

[0206] Step 420: Determine the crack area based on the crack location.

[0207] The crack area refers to the area of ​​the crack spreading on the lamp holder. The crack area can be obtained by identifying from the lamp holder image using image recognition technology. The method for determining the crack area is common knowledge in this field and will not be elaborated here.

[0208] Step 421: Match the crack parameters of the lamp holder according to the device number, the crack position and the crack area.

[0209] When the lamp holder is cracked, the drone is used to inspect the appearance of the lamp holder, and the warning device is controlled by the lamp holder crack parameters to notify the staff of the location and area of ​​the crack, so that the staff can quickly lock the faulty lightning protection device and promptly understand the damage condition of the lamp holder.

[0210] Damage analysis methods also include:

[0211] Step 422: When the crack area is lower than a preset repair threshold, determine the crack width based on the crack position.

[0212] The repair threshold refers to the maximum crack area that can be repaired by the drone. The repair threshold is selected by the staff according to the actual situation and will not be described in detail here. If the crack area is lower than the repair threshold, it means that the crack can be temporarily repaired by the drone. The crack width refers to the length of the widest part of the crack. The crack width can be obtained by image recognition technology. The method of identifying the crack width is common knowledge in this field and will not be described in detail here.

[0213] Step 423: When the crack width is lower than a preset fixing threshold, determine the fixing position according to the lamp holder image.

[0214] The fixed threshold refers to the maximum crack width when the lamp holder is not subjected to external force. The fixed threshold is selected by the staff according to the actual situation and will not be described in detail here. The crack width below the fixed threshold means that the crack on the lamp holder is not opened by external force at this time. The fixed position refers to the position of the fixed connection crack. Generally, the end position of the crack is preferred, that is, the connection between the crack and the outside world. The fixed position can be obtained by image recognition technology. The identification method of the fixed position is common knowledge known to people in this field and will not be described in detail here.

[0215] Step 424: Determine a repair path according to the fixed position.

[0216] The repair path refers to the route that the drone takes to inject the repair material into a fixed position. The repair path can be automatically generated according to the fixed position by the path generation program that comes with the drone. The method for generating the repair path is common knowledge to those skilled in the art and will not be elaborated on here.

[0217] Step 425: Control the preset drone according to the repair path to spray the preset repair material to the fixed position.

[0218] When the crack on the lamp holder is small, the crack width is detected, so that when the crack width is small, the repair material can be injected into the lamp holder by the drone, thereby repairing the lamp holder and reducing the cracking of the lamp holder.

[0219] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A maintenance method for a photovoltaic power station lightning protection device, characterized in that: include: Obtaining the energized voltage of the energized circuit; When the power-on voltage falls into a preset lightning strike interval, the preset bulb brightness of the metal halide lamp is obtained; Matching the overvoltage brightness from a preset overvoltage brightness matching model according to the power-on voltage; Determine the lightning strike light difference based on the bulb brightness and overvoltage brightness; When the lightning strike light difference exceeds a preset brightness error range, the device number of the lightning protection device is obtained; Matching damage warning parameters from a preset damage warning parameter model according to the device number; According to the damage warning parameters, a preset warning device is controlled to issue a damage warning.

2. A maintenance method for a photovoltaic power station lightning protection device according to claim 1, characterized in that: Also included is a method for obtaining the brightness of a light bulb, the method for obtaining the brightness of a light bulb comprising: When the power-on voltage falls into a preset lightning strike interval, controlling a preset photographing device to obtain a reference image of the metal halide lamp; matching the shooting position from a preset shooting position recognition model according to the reference image; Matching a shooting itinerary from a preset shooting itinerary matching model according to the shooting position; Controlling a shooting device preset on the metal housing to obtain a brightness image according to the shooting stroke; The bulb brightness is matched from a preset bulb brightness matching model according to the brightness image.

3. A method for maintaining a photovoltaic power station lightning protection device according to claim 2, characterized in that: The method for obtaining the brightness of the light bulb further includes: Matching the ambient brightness from a preset ambient brightness matching model according to the reference image; When the ambient brightness falls into the preset interference interval, the illumination direction is matched from the preset ambient light illumination direction recognition model according to the reference image; Matching a backlight position interval from a preset backlight position interval matching model according to the illumination direction; The shooting stroke is matched from a preset backlight stroke matching model according to the backlight position interval and the shooting position.

4. A method for maintaining a photovoltaic power station lightning protection device according to claim 3, characterized in that: The method for obtaining the brightness of the light bulb further includes: Get the light bulb image; Determine whether there are multiple lighted light bulbs in the light bulb image from a preset light bulb identification model according to the light bulb image; When there are multiple lighted light bulbs in the light bulb image, the light bulb positions are matched from a preset light bulb position recognition model according to the light bulb image; Matching the light bulb position from a preset light bulb position recognition model according to the brightness image; Match the light direction from a preset light direction recognition model according to the light bulb position and the light on position; Matching the backlight position interval from a preset backlight position interval matching model according to the light direction; The shooting stroke is matched from a preset backlight stroke matching model according to the backlight position interval and the shooting position.

5. A method for maintaining a photovoltaic power station lightning protection device according to claim 4, characterized in that: The method for acquiring the light bulb image comprises: Matching a shooting angle from a preset shooting angle matching model according to the reference image; determining whether the light bulbs in the reference image overlap according to the shooting angle and the shooting position from a preset light bulb overlap determination model; Judging whether a light bulb in the reference image is missing from a preset light bulb missing judgment model according to a shooting angle and a shooting position; When the light bulbs in the reference image overlap and / or are missing, an image acquisition itinerary is matched from a preset image acquisition itinerary matching model according to the shooting angle and the shooting position; According to the image acquisition stroke, a preset shooting device is controlled to acquire the image of the light bulb.

6. A method for maintaining a photovoltaic power station lightning protection device according to claim 4, characterized in that: Also included is a damage analysis method, the damage analysis method comprising: When the lightning strike light difference exceeds the preset brightness error range, the detection stroke is matched from the preset detection stroke matching model according to the position of the bulb; Controlling a preset shooting device to acquire a detection image set of the metal halide lamp in a surrounding manner according to the detection stroke; Determine whether the metal halide lamp is damaged based on the detection image set from the preset bulb appearance detection model; When the metal halide lamp is damaged, the damage parameters of the lamp are matched from the preset lamp damage parameter matching model according to the device number; According to the bulb damage parameters, a preset warning device is controlled to issue a bulb damage warning.

7. A method for maintaining a photovoltaic power station lightning protection device according to claim 6, characterized in that: The damage analysis method further comprises: When the metal halide lamp is not damaged, the lamp model is matched from the preset metal halide lamp database according to the detection image set; Matching the interference interval from a preset interference interval matching model according to the bulb model, and obtaining a preset pressure value at the bottom of the lamp holder; When the pressure value is lower than the conflict interval, the bulb loosening parameter is matched from the preset bulb loosening parameter matching model according to the device number; Controlling a preset warning device to issue a bulb loosening warning according to the bulb loosening parameter; When the pressure value exceeds the conflict interval, the bulb over-tightening parameter is matched from the preset bulb over-tightening parameter matching model according to the device number; According to the bulb over-tightening parameter, a preset warning device is controlled to issue a bulb over-tightening warning.

8. A method for maintaining a photovoltaic power station lightning protection device according to claim 7, characterized in that: The damage analysis method further comprises: When the pressure value is lower than the preset resistance interval, the bulb number is determined according to the bulb position; Retrieve pressure parameters from a preset pressure parameter database according to the device number and the bulb number; Determine whether a pressure jump occurs in the preset pressure jump recognition model according to the pressure parameter; When the pressure value jumps, the lamp holder cracking parameter is matched from the preset lamp holder cracking parameter matching model according to the device number; According to the cracking parameters of the lamp holder, a preset warning device is controlled to issue a lamp holder cracking warning.

9. A method for maintaining a photovoltaic power station lightning protection device according to claim 8, characterized in that: The damage analysis method further comprises: When the pressure value jumps, determine the device location based on the device number; Determine inspection routes based on device locations; Control the preset UAV to fly around the lightning protection device according to the inspection path and obtain the lamp holder image; Determine the crack location based on the lamp holder image; Determining the crack area based on the crack location; The cracking parameters of the lamp holder are matched according to the device number, cracking location and cracking area.

10. A method for maintaining a photovoltaic power station lightning protection device according to claim 7, characterized in that: The damage analysis method further comprises: When the crack area is below a preset repair threshold, determining the crack width based on the crack location; When the crack width is lower than a preset fixation threshold, the fixation position is determined based on the lamp holder image; Determine the repair path based on the fixed position; The preset drone is controlled according to the repair path to spray the preset repair material to a fixed position.

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