A wind turbine intelligent point inspection method, system and terminal

Abstract

The present invention relates to a wind turbine smart point inspection method, system and terminal, and to the technical field of intelligent technology application, which includes obtaining the mobile sway value and device position information of a mobile detection device based on the situation that the output signal is consistent with the working signal; matching the reference sway value from the detection database according to the mobile position information and the road surface reference information; obtaining the surrounding image information of the mobile detection device based on the situation that the device sway value is inconsistent with the reference sway value; matching the current road surface condition from the road surface database according to the surrounding image information and the road surface reference information; reporting the device abnormality prompt when the current road surface condition is consistent with the reference road surface condition; matching the corrected inspection route from the inspection database according to the surrounding image information and the initial inspection route when the current road surface condition is consistent with the damaged road surface condition; and controlling the mobile detection device to inspect the inspection area with the corrected inspection route. The present application has the effect of improving work efficiency.

Description

Technical Field

[0001] The present invention relates to the field of intelligent technology application, and in particular to a wind turbine intelligent point inspection method, system and terminal. Background Art

[0002] Smart inspection of wind turbines refers to a management method that uses intelligent technology to conduct regular inspection and maintenance of wind turbines.

[0003] At present, smart point inspections of wind turbines mainly rely on complex sensor networks and advanced data processing technologies, and require dispatching staff or arranging inspection robots to regularly inspect each wind turbine in order to process the inspection results accordingly.

[0004] When the inspection robot inspects each wind turbine, it usually inspects the route pre-set by the staff. However, during the daily inspection process, the route situation will change in real time, and various obstacles and complex terrain may appear, which will affect the normal operation of the inspection robot, thereby reducing work efficiency. This needs to be improved. Summary of the invention

[0005] In order to improve work efficiency, the present invention provides a wind turbine intelligent point inspection method, system and terminal.

[0006] In a first aspect, the present invention provides a wind turbine intelligent point inspection method, which adopts the following technical solution:

[0007] A wind turbine intelligent point inspection method, comprising:

[0008] Obtaining an output signal of a preset motion detection device;

[0009] Based on the fact that the output signal is consistent with the preset working signal, the moving shaking value and the device position information of the moving detection device are obtained;

[0010] Matching a reference sway value from a preset detection database according to the mobile position information and preset road surface reference information;

[0011] Based on the inconsistency between the device shake value and the reference shake value, obtaining surrounding image information of the motion detection device;

[0012] Match the current road condition from a preset road database based on surrounding image information and road reference information;

[0013] When the current road condition is consistent with the preset reference road condition, the reporting device will indicate abnormality;

[0014] When the current road condition is consistent with the preset damaged road condition, a corrected inspection route is matched from the preset inspection database according to the surrounding image information and the preset initial inspection route;

[0015] Control the mobile detection device to inspect the preset inspection area by correcting the inspection route.

[0016] By adopting the above technical solution, the working condition of the mobile detection device can be known by understanding the consistency between the output signal and the working signal. When the mobile detection device is working, the shaking condition of the mobile detection device can be known by understanding the consistency between the device shaking value and the reference shaking value. When the shaking is abnormal, the cause of the shaking can be known by understanding the current road conditions, and then corresponding adjustments can be made. When the shaking is caused by road damage, the initial inspection route can be modified to avoid damage to the mobile detection device caused by road damage, thereby improving work efficiency.

[0017] Optionally, a preset height adjustment method is also included, and the height adjustment method includes:

[0018] Obtain a device height value of a viewing device preset on the mobile detection device;

[0019] Based on the inconsistency between the device height value and the preset reference height value, the difference between the device height value and the reference height value is calculated as the height abnormality value;

[0020] If the height abnormal value is greater than zero, report the road abnormality prompt;

[0021] Based on the fact that the height abnormal value is less than zero, determining whether the surrounding image information contains a preset pothole feature;

[0022] Based on the fact that the surrounding image information does not contain pothole features, the adjustment parameters are matched from a preset adjustment database according to the height abnormality value;

[0023] The viewing device is adjusted by controlling the adjustment device preset on the motion detection device according to the adjustment parameters.

[0024] By adopting the above technical solution, the installation height of the viewing equipment can be known by understanding the consistency between the equipment height value and the reference height value. When the height of the viewing equipment is abnormal, the specific cause of the abnormal height of the viewing equipment can be known by understanding the positive and negative values ​​of the abnormal height value, and then corresponding adjustments can be made to improve the inspection efficiency.

[0025] Optionally, a preset backlight adjustment method is also included, and the backlight adjustment method includes:

[0026] Based on the fact that the device location information is consistent with the preset inspection location, obtaining inspection image information;

[0027] Based on the fact that the inspection image information contains preset exposure features, current time information and regional location information are obtained;

[0028] Match the light irradiation angle from the preset light database according to the current time information and regional location information;

[0029] Matching backlight adjustment parameters from a preset backlight database according to the light irradiation angle;

[0030] Determine the shooting angle based on backlight adjustment parameters and preset inspection feature positions;

[0031] The mobile detection device is controlled to perform shading adjustment with the backlight adjustment parameter, and after the shading adjustment, the viewing device is controlled to perform shooting inspection on the preset inspection features with the shooting angle.

[0032] By adopting the above technical solution, when the inspection image information contains exposure features, the light irradiation angle can be known by understanding the current time information and area location information, and then the backlight adjustment parameters and shooting angle can be known, so that the mobile detection device can be controlled to adjust the backlight, and the viewing device can scan the inspection features more clearly, thereby improving the inspection efficiency.

[0033] Optionally, a preset rainy day processing method is also included, and the rainy day processing method includes:

[0034] When inspecting the inspection area based on the mobile detection device with a modified inspection route, obtain current weather information;

[0035] Based on the fact that the current weather information is consistent with the preset rain omen characteristics, the preset rain shielding device is controlled to open to wrap the mobile detection device;

[0036] Based on the fact that the device location information is consistent with the preset inspection location, the viewing image information is obtained;

[0037] Based on the fact that the image information does not contain the preset inspection features, current wind direction information is obtained;

[0038] Match the correction position from the inspection database according to the current wind direction information, the terrain conditions of the inspection area and the preset inspection feature positions;

[0039] The mobile detection device is controlled to move to the correction position, and the viewing device is controlled to scan the inspection features.

[0040] By adopting the above technical solution, when it rains in the inspection area, the rain shielding device is controlled to open to wrap the mobile detection device, so as to prevent rain from entering the mobile detection device. And when the viewing device cannot scan the inspection features due to the influence of rain, the correction position is known by understanding the current wind direction information, and then the mobile detection device is controlled to move to the correction position, so that the viewing device can clearly scan the inspection features to complete the inspection, thereby improving the inspection efficiency.

[0041] Optionally, a preset water mist treatment method is also included, and the water mist treatment method includes:

[0042] Based on the fact that the image information contains a preset water mist feature, a water mist occlusion range is matched from a preset occlusion database according to the image information and the water mist feature;

[0043] Matching initial movement adjustment parameters from a preset adjustment database according to the water mist occlusion range;

[0044] Controlling the viewing device to perform movement adjustment based on the initial movement adjustment parameters, and obtaining adjusted image information after the movement adjustment;

[0045] Based on the fact that the adjusted image information still contains water mist features, the adjusted water mist occlusion range is matched from the occlusion database according to the adjusted image information and the water mist features;

[0046] Based on the fact that the water mist shielding range is consistent with the adjusted water mist shielding range, the mobile detection device is controlled to remove the water mist characteristics by a preset defog method;

[0047] After the water mist features are removed, the control viewing device scans the inspection features.

[0048] By adopting the above technical solution, when the viewing image information contains water mist features, the initial movement adjustment parameters are known by understanding the water mist occlusion range, and then the viewing device is controlled to adjust the position. After the adjustment, when the adjusted image information still contains water mist features, the existence range of the water mist is known by understanding the consistency between the water mist occlusion range and the adjusted water mist occlusion range. When the water mist completely covers the rainproof equipment, the water mist features are removed by controlling the mobile detection device to use a defog method, thereby improving the inspection efficiency.

[0049] Optionally, the demisting method includes:

[0050] Obtain the device temperature value of the mobile detection device and the regional temperature value of the inspection area;

[0051] Calculating the difference between the device temperature value and the zone temperature value as a temperature difference value;

[0052] According to the temperature difference value, the heat dissipation power value is matched from the preset temperature database;

[0053] Based on the situation that the heat dissipation power value exceeds the preset reference power value, controlling the preset heat dissipation device to dissipate heat for the motion detection device at the reference power value, and updating the device temperature value as the post-dissipation temperature value;

[0054] Update the temperature difference value according to the scattered temperature value and the regional temperature value;

[0055] Get the current wind force value;

[0056] According to the current wind direction information, the current wind force value, the updated temperature difference value and the preset vent position, the corrected standing angle is matched from the preset ventilation database, and the motion detection device is controlled to adjust the standing angle to be consistent with the corrected standing angle.

[0057] By adopting the above technical scheme, the heat dissipation power value is known by understanding the temperature difference value, and then the specific heat dissipation method is known by understanding the excess between the heat dissipation power value and the reference power value. When it is impossible to dissipate the heat of the mobile detection device simply by using the heat dissipation device, the heat dissipation device is controlled to dissipate the heat at the reference power value, and after the heat dissipation, the temperature difference value is updated by the temperature value after dissipation, and then the corrected standing angle is known by understanding the current wind force value, so as to control the mobile detection device to adjust the standing angle to be consistent with the corrected standing angle, so that natural wind can dissipate the heat for the mobile detection device to achieve the demisting effect, thereby improving the demisting efficiency.

[0058] Optionally, a preset foreign body removal method is also included, and the foreign body removal method includes:

[0059] Based on the fact that the image information contains preset foreign body features, the foreign body range is determined according to the image information and the foreign body features;

[0060] Determine the location of foreign matter based on the foreign matter range and preset reference objects;

[0061] Based on the situation that the position of the foreign body is consistent with the inspection feature position, the device distance value is determined according to the inspection feature position and the device position information;

[0062] According to the device distance value, the current wind force value and the current wind direction information, the blowing angle and the blowing force value are matched from the preset blowing database;

[0063] Match the blowing position from the blowing database according to the blowing angle;

[0064] The mobile detection device is controlled to move to the blowing position, and at the blowing position, the blowing equipment preset on the mobile detection device is controlled to blow away the foreign matter features according to the blowing force value.

[0065] By adopting the above technical solution, when checking that the image information contains foreign matter features, the location of the foreign matter is known by understanding the range of the foreign matter, and when the location of the foreign matter is consistent with the inspection feature position, the blowing angle and blowing force value are known by understanding the device distance value, so that the foreign matter features can be blown away, thereby improving the efficiency of foreign matter removal.

[0066] Optionally, an algorithm formula for calculating the blowing force value is also included:

[0067] , where v b is the blowing force value, F a is the adhesion of the foreign body characteristics, C dw is the equivalent resistance coefficient when natural wind acts on foreign objects, ρ is the air density, A w is the frontal area of ​​the foreign body, v w is the current wind force value, C d is the drag coefficient, A b It is the air outlet area of ​​the blowing equipment.

[0068] By adopting the above technical solution and using the above algorithm formula, the blowing force value can be calculated more accurately, thereby reducing energy consumption while ensuring that the foreign matter characteristics are blown away.

[0069] In the second aspect, the present application provides a wind turbine intelligent point inspection system, which adopts the following technical solutions:

[0070] A wind turbine intelligent point inspection system, comprising:

[0071] Acquisition module, used for outputting signals, moving shaking values, device location information, surrounding image information, equipment height value, inspection image information, current time information, regional location information, current weather information, viewing image information, current wind direction information, adjusted image information, device temperature value, regional temperature value, and current wind force value;

[0072] A memory, used to store a program of any of the above-mentioned wind turbine smart point inspection methods;

[0073] The processor is used to load, execute and implement the program stored in the memory.

[0074] In a third aspect, the present application provides a smart terminal, which adopts the following technical solution:

[0075] An intelligent terminal comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and execute any one of the above-mentioned wind turbine intelligent point inspection methods.

[0076] In summary, the present application includes at least one of the following beneficial technical effects:

[0077] 1. The working condition of the mobile detection device can be known by understanding the consistency between the output signal and the working signal. When the mobile detection device is working, the shaking condition of the mobile detection device can be known by understanding the consistency between the device shaking value and the reference shaking value. When the shaking is abnormal, the cause of the shaking can be known by understanding the current road conditions, and then corresponding adjustments can be made. When the shaking is caused by road damage, the initial inspection route can be modified to avoid damage to the mobile detection device caused by road damage, thereby improving work efficiency;

[0078] 2. By understanding the temperature difference value, the heat dissipation power value is known, and then by understanding the excess between the heat dissipation power value and the reference power value, the specific heat dissipation method is known. When the mobile detection device cannot be dissipated simply by using the heat dissipation device, the heat dissipation device is controlled to dissipate heat at the reference power value, and after heat dissipation, the temperature difference value is updated by the temperature value after dissipation, and then the corrected standing angle is known by understanding the current wind force value, so as to control the mobile detection device to adjust the standing angle to be consistent with the corrected standing angle, so that natural wind can dissipate heat for the mobile detection device to achieve the defogging effect, thereby improving the defogging efficiency;

[0079] 3. When checking that the image information contains foreign body features, the location of the foreign body is known by understanding the range of the foreign body. When the location of the foreign body is consistent with the inspection feature position, the blowing angle and blowing force value are known by understanding the device distance value, so that the foreign body features can be blown away, thereby improving the efficiency of foreign body removal. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 This is a method flow chart of a wind turbine smart point inspection method in an embodiment of the present invention;

[0081] Figure 2 is a method flow chart of a height adjustment method in an embodiment of the present invention;

[0082] Figure 3 is a method flow chart of a backlight adjustment method in an embodiment of the present invention;

[0083] Figure 4 is a method flow chart of a rainy day processing method in an embodiment of the present invention;

[0084] Figure 5 It is a method flow chart of the water mist treatment method in an embodiment of the present invention. DETAILED DESCRIPTION

[0085] The following is combined with Figures 1 to 5 The present invention is further described in detail with examples.

[0086] Reference Figure 1 The present application embodiment discloses a wind turbine smart point inspection method, comprising the following steps:

[0087] Step 100: Obtain an output signal of a preset movement detection device.

[0088] The mobile detection device refers to a device used to perform regular inspections on the smart points of the wind turbine. In this embodiment, there are multiple wind turbines, so there are also multiple smart points. The mobile detection device needs to perform regular inspections on each smart point.

[0089] The output signal refers to the electrical signal emitted by the mobile detection device. The output signal includes a standby signal and a working signal. The standby signal refers to the signal emitted when the mobile detection device is not performing an inspection operation, and the working signal refers to the signal emitted when the mobile detection device is performing an inspection operation. The standby signal and the working signal are both set in advance by those skilled in the art and will not be described in detail here. The output signal is obtained by the signal transceiver on the mobile detection device.

[0090] Step 101: based on the fact that the output signal is consistent with the preset working signal, the movement shake value and device position information of the movement detection device are obtained.

[0091] The mobile shake value refers to the amplitude value of the shake generated by the mobile detection device during the inspection of the smart point. The device location information refers to the location of the mobile detection device. The mobile shake value is measured and obtained by the shake sensor installed on the mobile detection device, and the device location information is obtained by the GPS positioning chip installed on the mobile detection device.

[0092] When the output signal is consistent with the working signal, it means that the mobile detection device is performing an inspection operation, and the mobile shake value and device position information need to be obtained for subsequent steps.

[0093] Step 102: Match a reference shaking value from a preset detection database according to the mobile position information and preset road surface reference information.

[0094] The road surface reference information refers to the reference flatness of the road on the inspection route of the mobile detection device. The road surface reference information is obtained by a technician in this field in advance and will not be described in detail here. The reference sway value refers to the sway value that the mobile detection device should have when driving on the current road surface.

[0095] The detection database can be used to match the reference shaking value corresponding to the mobile position information and the road surface reference information. It contains the corresponding relationship between the mobile position information, the road surface reference information and the reference shaking value. The detection database is a manually set database and will not be described in detail here.

[0096] Step 103: Based on the inconsistency between the device shake value and the reference shake value, obtain surrounding image information of the motion detection device.

[0097] The surrounding image information refers to the images around the mobile detection device during the inspection process. The surrounding image information is obtained by taking pictures with a camera. When the device shake value is inconsistent with the reference shake value, it means that the current shake value of the mobile detection device is abnormal, and the surrounding image information needs to be obtained for subsequent steps.

[0098] Step 104: Match the current road condition from a preset road database according to the surrounding image information and the road reference information.

[0099] The current road condition refers to the damage condition of the surrounding road surface at the current location of the mobile detection device. The current road condition corresponding to the surrounding image information and the road reference information can be matched through the road database, which includes the corresponding relationship between the surrounding image information, the road reference information and the current road condition. The road database is a manually set database and will not be described in detail here.

[0100] Step 105: When the current road condition is consistent with the preset reference road condition, an abnormality prompt of the reporting device is generated.

[0101] The reference road surface condition refers to the flatness of the road surface when the inspection route of the mobile detection device is initially planned. The reference road surface condition is obtained by a technician in the field in advance and will not be described in detail here. The device abnormality prompt refers to the prompt issued when the mobile detection device is abnormal. The device abnormality prompt is set by a technician in the field in advance and will not be described in detail here.

[0102] When the current road condition is consistent with the benchmark road condition, it means that the abnormal shaking value of the mobile detection device is not caused by the road, which means that the mobile detection device itself has an abnormality and the device abnormality prompt needs to be reported so that the staff can inspect and repair the mobile detection device.

[0103] Step 106: When the current road condition is consistent with the preset damaged road condition, a corrected inspection route is matched from a preset inspection database according to surrounding image information and the preset initial inspection route.

[0104] The damaged road surface condition refers to the condition when there is damage on the road surface. The initial inspection route refers to the initial route for the mobile detection device to inspect each smart point. The initial inspection route and the damaged road surface condition are set in advance by technicians in this field and will not be described here. The modified inspection route refers to the route after the initial inspection route is modified.

[0105] When the current road surface condition is consistent with the damaged road surface condition, it means that the road surface where the mobile detection device is currently located is damaged, and the inspection database is needed to match the surrounding image information and the corrected inspection route corresponding to the initial inspection route, so as to avoid the mobile detection device continuing to inspect along the initial inspection route, which may cause the mobile detection device to be damaged. The inspection database contains the correspondence between the surrounding image information, the initial inspection route, and the corrected inspection route. The inspection database is a manually set database and will not be described in detail here.

[0106] Step 107: Control the mobile detection device to inspect the preset inspection area using the corrected inspection route.

[0107] The mobile detection device is controlled to correct the inspection route to inspect the inspection area, thereby completing the inspection operation.

[0108] Reference Figure 2 , the height adjustment method comprises the following steps:

[0109] Step 200: Obtain a device height value of a viewing device preset on the motion detection device.

[0110] The viewing device refers to a device used to scan the inspection features on the smart point. The inspection feature refers to the feature used to prove that the inspection operation of the smart point has been completed. The inspection feature is set in advance by a person skilled in the art and will not be described here. The device height value refers to the height value at which the viewing device is currently located. The device height value is obtained by measuring with an ultrasonic sensor.

[0111] Step 201: Based on the inconsistency between the device height value and the preset reference height value, a difference between the device height value and the reference height value is calculated as a height abnormality value.

[0112] The reference height value refers to the height value that the inspection device should be at when inspecting on the road surface. The reference height value is set in advance by a person skilled in the art and will not be described in detail here. The height abnormal value refers to the value at which the height value of the current inspection device is different. The height abnormal value can be obtained by calculating the difference between the device height value and the reference height value.

[0113] When the equipment height value is inconsistent with the reference height value, it means that there are factors on the road surface that affect the height value of the viewing equipment. The height anomaly value must be calculated first for subsequent steps.

[0114] Step 202: Based on the situation where the height abnormality value is greater than zero, report a road abnormality prompt.

[0115] When the height abnormality value is greater than zero, it means that the height value of the viewing device has become higher, which means that there is a foreign object that lifts the mobile detection device at the current location. It is necessary to report the road abnormality prompt to remind the staff to pay attention to the current location.

[0116] Step 203: Based on the fact that the height abnormality value is less than zero, determine whether the surrounding image information contains a preset pothole feature.

[0117] The pothole feature refers to the feature when there is a pothole on the road surface. The pothole feature is set in advance by those skilled in the art and will not be described in detail here.

[0118] When the height anomaly value is less than zero, it means that the height value of the viewing device has become lower. It is necessary to determine whether the surrounding image information contains pothole features to determine the specific factors that affect the lower height value of the viewing device.

[0119] Step 204: Based on the fact that the surrounding image information does not contain pothole features, the adjustment parameters are matched from a preset adjustment database according to the height abnormality value.

[0120] The adjustment parameter refers to the value of the height used to adjust the height value of the viewing device. When the surrounding image information does not contain pothole features, it means that the height value of the viewing device becomes lower not because the mobile detection device falls into the pothole, but because the viewing device itself slides down due to shaking during the inspection of the mobile detection device, which leads to a lower height value. The adjustment parameter corresponding to the height abnormal value needs to be matched through the adjustment database, which contains the corresponding relationship between the height abnormal value and the adjustment parameter. The adjustment database is a manually set database and will not be described here.

[0121] When the surrounding image information contains pothole features, it means that the height value of the viewing equipment has become lower because the mobile detection device has fallen into the pothole, and it is necessary to report the road abnormality prompt to remind the staff to pay attention to the current location.

[0122] Step 205: Controlling the adjustment device preset on the motion detection apparatus to adjust the viewing device according to the adjustment parameters.

[0123] The adjusting device refers to a device used to adjust the height value of the viewing device, and the adjusting device is controlled to adjust the height value of the viewing device with adjustment parameters.

[0124] Reference Figure 3 , the backlight adjustment method includes the following steps:

[0125] Step 300: Based on the fact that the device location information is consistent with a preset inspection location, obtain inspection image information.

[0126] The inspection position refers to the position that the mobile inspection device needs to reach when inspecting the smart point. The inspection image information refers to the picture of the inspection feature taken by the mobile inspection device after arriving at the inspection position. The inspection feature refers to the feature used to prove that the inspection operation of the smart point has been completed. The inspection image information is obtained by taking pictures of the viewing device. The inspection position is set in advance by a person skilled in the art and will not be described in detail here.

[0127] When the device location information is consistent with the inspection location, it means that the mobile inspection device has reached the location where the smart point needs to be scanned to complete the inspection of the location, and the inspection image information needs to be obtained for subsequent steps.

[0128] Step 301: based on the fact that the inspection image information contains preset exposure features, current time information and regional location information are obtained.

[0129] The exposure feature refers to the feature of the inspection image information captured by the viewing device when it is exposed. The exposure feature is set in advance by a technician in this field and will not be described in detail here. The current time information refers to the time point when the inspection image information is currently acquired. The regional location information refers to the specific geographical location of the inspection area, covering its precise longitude and latitude coordinates, the scope of the administrative area to which it belongs, and the orientation relative to the surrounding important facilities. The current time information is obtained through a clock sensor. The regional location information is obtained by retrieving the specific geographical location of the inspection area in the satellite map from a preset regional database. The regional database contains the correspondence between the regional location information and the specific geographical location of the inspection area. The regional database is an artificially set database and will not be described here.

[0130] When the inspection image information contains exposure features, it means that when the inspection features are scanned at the location where the current viewing device is located, the inspection features cannot be scanned due to exposure reasons, and thus the inspection of the current smart point cannot be completed. The current time information and area location information need to be obtained for subsequent steps.

[0131] Step 302: Match the light irradiation angle from a preset light database according to the current time information and the regional location information.

[0132] The light irradiation angle refers to the irradiation angle of the sun's rays on the inspection features. The light irradiation angle corresponding to the current time information and the regional location information can be matched through the light database, which contains the corresponding relationship between the current time information, the regional location information and the light irradiation angle. The light database is a manually set database and will not be described here.

[0133] Step 303: matching backlight adjustment parameters from a preset backlight database according to the light irradiation angle.

[0134] The backlight adjustment parameter refers to the distance and direction used to adjust the movement of the mobile detection device to block the sunlight from shining on the inspection features. The backlight adjustment parameter corresponding to the light irradiation angle can be matched through the backlight database, which contains the correspondence between the light irradiation angle and the backlight adjustment parameter. The backlight database is a manually set database and will not be described in detail here.

[0135] Step 304: Determine the shooting angle according to the backlight adjustment parameters and the preset inspection feature positions.

[0136] The inspection feature position refers to the position where the inspection feature is located. The inspection feature position is set in advance by a person skilled in the art and will not be described in detail here. The shooting angle refers to the angle at which the viewing device shoots and scans the inspection feature. The backlight adjustment parameters and the shooting angle corresponding to the inspection feature position can be matched through the preset inspection database, which includes the correspondence between the backlight adjustment parameters and the inspection feature position and the shooting angle, and the shooting angle corresponding to the backlight adjustment parameters and the inspection feature position of the inspection database.

[0137] Step 305: Control the motion detection device to perform shading adjustment using the backlight adjustment parameters, and after the shading adjustment, control the viewing device to perform photography inspection on the preset inspection features using a photography angle.

[0138] The mobile detection device is controlled to move with the backlight adjustment parameters to shield the inspection features, and after the shading adjustment, the viewing device is controlled to shoot and scan the inspection features at a shooting angle to complete the inspection of the current smart point.

[0139] Reference Figure 4 , the rainy day treatment method includes the following steps:

[0140] Step 400: When inspecting the inspection area based on the mobile detection device with the modified inspection route, obtain current weather information.

[0141] The current weather information refers to the current weather conditions in the inspection area when the mobile detection device inspects each smart point. The current weather information is obtained by calling a preset weather display terminal. The weather display terminal is independently selected by a person skilled in the art and will not be described in detail here.

[0142] When the mobile detection device inspects the inspection area with a modified inspection route, it needs to obtain current weather information for subsequent steps.

[0143] Step 401: Based on the fact that the current weather information is consistent with the preset rain omen characteristics, the preset rain shielding device is controlled to open to wrap the mobile detection device.

[0144] The rain omen feature refers to the feature that it will rain in the inspection area after a unit time. The rain omen feature and the unit time are set in advance by those skilled in the art and will not be described in detail here. The rain shielding device refers to a device used to wrap the mobile detection device and the viewing device. In this embodiment, the rain shielding device is a transparent raincoat. After the rain shielding device wraps the viewing device, the rain shielding device itself will not affect the shooting of the viewing device.

[0145] When the current weather information is consistent with the characteristics of rain omen, it means that it will rain in the inspection area after a unit of time. The rain shielding equipment needs to be opened to wrap the mobile detection device and viewing equipment to prevent the mobile detection device and viewing equipment from being exposed to rain and water.

[0146] Step 402: Based on the fact that the device location information is consistent with a preset inspection location, the viewing image information is obtained.

[0147] The inspection position refers to the position that the mobile detection device needs to reach when inspecting the smart point. The inspection position is set in advance by a person skilled in the art and will not be described in detail here. Viewing image information refers to the image of the inspection feature captured by the viewing device through the rain shielding device when it rains in the inspection area. Viewing image information is obtained by shooting with the viewing device.

[0148] When the device location information is consistent with the inspection location, it means that the mobile inspection device has reached the location where the smart point needs to be scanned to complete the inspection of the location, and the image information needs to be obtained for subsequent steps.

[0149] Step 403: based on the fact that the image information does not contain the preset inspection features, the current wind direction information is obtained.

[0150] Inspection features refer to features used to prove that the inspection operation of the smart point has been completed. Inspection features are set in advance by those skilled in the art and will not be described in detail here. Current wind direction information refers to the blowing direction of natural wind in the inspection area. Current wind direction information is measured and obtained by a wind direction sensor.

[0151] When the inspection feature is not included in the viewing image information, it means that the viewing device is unable to clearly capture the inspection feature due to the obstruction of wind and rain between the viewing device and the inspection feature location. The current wind direction information needs to be obtained for subsequent steps.

[0152] Step 404: Match the correction position from the inspection database according to the current wind direction information, the terrain conditions of the detection area and the preset inspection feature position.

[0153] The inspection feature position refers to the position where the inspection feature is located. The inspection feature position is set in advance by a person skilled in the art and will not be described in detail here. The correction position refers to the position where the mobile detection device needs to be controlled in order to enable the viewing device to clearly capture the inspection feature. The inspection database can match the current wind direction information, the terrain conditions of the detection area, and the correction position corresponding to the inspection feature position, which includes the corresponding relationship between the current wind direction information, the terrain conditions of the detection area, the inspection feature position, and the correction position.

[0154] Step 405: Control the mobile detection device to move to the correction position, and control the viewing device to scan the inspection features.

[0155] The mobile detection device is controlled to move to the correction position so that the viewing device can clearly capture the inspection features, and then the viewing device can be controlled to capture and scan the inspection features to complete the inspection of the current smart point.

[0156] Reference Figure 5 , the water mist treatment method comprises the following steps:

[0157] Step 500: Based on the fact that the viewed image information contains preset water mist features, a water mist occlusion range is matched from a preset occlusion database according to the viewed image information and the water mist features.

[0158] The water mist feature refers to the feature when water mist exists on the rainproof device. The water mist feature is set in advance by those skilled in the art and will not be described in detail here. The water mist shielding range refers to the range covered by the water mist in viewing the image information.

[0159] When the viewing image information contains water mist features, it means that there is water mist on the rainproof device, which means that the viewing image information is not clear and the inspection features cannot be identified, and thus the inspection of the current smart point cannot be completed. It is necessary to match the viewing image information and the water mist occlusion range corresponding to the water mist features through the occlusion database for subsequent steps. The occlusion database contains the correspondence between the viewing image information and the water mist features as well as the water mist occlusion range. The occlusion database is an artificially set database and will not be elaborated here.

[0160] Step 501: matching initial movement adjustment parameters from a preset adjustment database according to the water mist shielding range.

[0161] The initial movement adjustment parameter refers to the direction and distance in which the viewing device is adjusted. The initial movement adjustment parameter corresponding to the water mist shielding range can be matched by adjusting the database, which includes the corresponding relationship between the water mist shielding range and the initial movement adjustment parameter. The adjustment database is a manually set database and will not be described in detail here.

[0162] Step 502: Controlling the viewing device to perform movement adjustment based on the initial movement adjustment parameters, and obtaining adjusted image information after the movement adjustment.

[0163] The adjusted image information refers to the image of the inspection feature taken again after the viewing device has been adjusted in position. The adjusted image information is obtained by taking a photo of the viewing device. The adjustment device set on the mobile detection device is controlled to move and adjust the viewing device with the initial mobile adjustment parameters, and the adjusted image information is obtained after the mobile adjustment for subsequent steps.

[0164] Step 503: Based on the fact that the adjusted image information still contains water mist features, the adjusted water mist occlusion range is matched from the occlusion database according to the adjusted image information and the water mist features.

[0165] The adjusted water mist occlusion range refers to the range covered by the water mist in the adjusted image information. The adjusted water mist occlusion range corresponding to the adjusted image information and the water mist features can be matched through the occlusion database, which includes the correspondence between the adjusted image information and the water mist features and the adjusted water mist occlusion range.

[0166] When the adjusted image information still contains water mist features, it means that even if the position of the viewing device is adjusted, the image taken by the viewing device will still be interfered by the water mist features. The adjusted water mist occlusion range needs to be matched through the occlusion database for subsequent steps.

[0167] Step 504: Based on the fact that the water mist shielding range and the adjusted water mist shielding range are consistent, the motion detection device is controlled to remove the water mist characteristics using a preset defog method.

[0168] The defog method refers to a method for removing water mist on the rain shielding device. The specific defog method is described in detail in the subsequent steps 600 to 606 and will not be described here. When the water mist blocking range and the adjusted water mist blocking range are consistent, it means that the method of controlling the viewing device to adjust the position cannot eliminate the interference of water mist on the viewing device, and the mobile detection device needs to be controlled to remove the water mist characteristics by the defog method for subsequent photo scanning.

[0169] Step 505: After the water mist feature is removed, control the viewing device to scan the inspection feature.

[0170] After removing the water mist features, the viewing device is directly controlled to take photos and scan the inspection features to complete the inspection operation of the current smart point.

[0171] The demisting method includes the following steps:

[0172] Step 600: Acquire the device temperature value of the mobile detection device and the area temperature value of the inspection area.

[0173] The device temperature value refers to the temperature value of the mobile detection device after it generates heat during operation. The regional temperature value refers to the temperature value of the inspection area. Both the device temperature value and the regional temperature value are measured and obtained by temperature sensors.

[0174] Step 601: Calculate the difference between the device temperature value and the area temperature value as a temperature difference value.

[0175] The temperature difference value refers to the difference between the temperature of the mobile detection device and the temperature of the inspection area. The temperature difference value can be obtained by calculating the difference between the device temperature value and the area temperature value.

[0176] Step 602: Match the heat dissipation power value from a preset temperature database according to the temperature difference value.

[0177] The heat dissipation power value refers to the power value used to dissipate the temperature of the mobile detection device. The heat dissipation power value corresponding to the temperature difference value can be matched through the temperature database, which includes the corresponding relationship between the temperature difference value and the heat dissipation power value. The temperature database is a manually set database and will not be described here.

[0178] Step 603: Based on the fact that the heat dissipation power value exceeds the preset reference power value, control the preset heat dissipation device to dissipate heat for the motion detection device at the reference power value, and update the device temperature value as the post-dissipation temperature value.

[0179] The reference power value refers to the maximum heat dissipation power value that the heat dissipation device can support. The reference power value is set in advance by a person skilled in the art and will not be described in detail here. The heat dissipation device refers to a device used to dissipate the temperature of the mobile detection device. The post-dissipation temperature value refers to the device temperature value after the mobile detection device dissipates heat. The post-dissipation temperature value is obtained by measuring with a temperature sensor.

[0180] When the heat dissipation power value exceeds the reference power value, it means that even if the heat dissipation device is controlled to dissipate heat for the mobile detection device at the maximum power, the temperature of the mobile detection device cannot be lowered to the same level as the regional temperature value. The heat dissipation device needs to be controlled to first dissipate heat for the mobile detection device at the reference power value, and after heat dissipation, the device temperature value of the mobile detection device is obtained again to update the device temperature value, and the updated device temperature value is used as the post-dissipation temperature value for subsequent steps.

[0181] When the heat dissipation power value does not exceed the reference power value, it indicates that the heat dissipation device is controlled to dissipate heat for the mobile detection device at the heat dissipation power value, and the temperature of the mobile detection device can be reduced to the same as the regional temperature value, and the heat dissipation device can be directly controlled to dissipate heat at the heat dissipation power value.

[0182] Step 604: Update the temperature difference value according to the scattered temperature value and the regional temperature value.

[0183] Calculate the difference between the scattered temperature value and the regional temperature value to update the temperature difference value.

[0184] Step 605: Obtain the current wind force value.

[0185] The current wind speed value refers to the current wind speed value in the inspection area. The current wind speed value can be measured by a wind sensor.

[0186] Step 606: Match the corrected standing angle from the preset ventilation database according to the current wind direction information, the current wind speed value, the updated temperature difference value and the preset vent position, and control the motion detection device to adjust the standing angle to be consistent with the corrected standing angle.

[0187] The vent position refers to the position of the vent provided on the rainproof device for ventilating the mobile detection device, and the vent position is set in advance by those skilled in the art, and will not be described in detail here. The modified standing angle refers to the angle used to change the standing orientation of the mobile detection device.

[0188] The ventilation database can be used to match the current wind direction information, the current wind force value, the updated temperature difference value, and the corrected standing angle corresponding to the vent position. It includes the corresponding relationship between the current wind direction information, the current wind force value, the updated temperature difference value, the vent position, and the corrected standing angle. The ventilation database is an artificially set database and will not be elaborated here.

[0189] The mobile detection device is controlled to adjust the standing angle to be consistent with the corrected standing angle so that natural wind can enter the rain shielding device through the vents, thereby lowering the temperature of the mobile detection device and reducing the temperature difference between the device temperature value and the regional temperature value, thereby removing the water mist on the shielding device.

[0190] The foreign body removal method includes the following steps:

[0191] Step 700: Based on the fact that the image information contains preset foreign body features, determine the foreign body range according to the image information and the foreign body features.

[0192] Foreign body features refer to features when there are foreign objects such as leaves blocking the view. Foreign body features are set in advance by those skilled in the art and will not be described in detail here. Foreign body range refers to the range of the viewing image information occupied by the foreign body features. The foreign body range corresponding to the viewing image information and the foreign body features can be matched through a preset viewing database, which includes the corresponding relationship between the viewing image information and the foreign body features and the foreign body range. The viewing database is a manually set database and will not be described in detail here.

[0193] When the image information contains foreign body features, it means that there are foreign body interferences on the shooting path when the viewing device is shooting and scanning the inspection features. The foreign body range needs to be matched to facilitate the subsequent steps.

[0194] Step 701: Determine the location of the foreign object based on the foreign object range and a preset reference object.

[0195] The position of a foreign object refers to the position of the foreign object at the inspection feature position or on the rainproof device. The reference object refers to an object used to assist in determining the specific position of the foreign object feature. The size and position of the reference object are set in advance by a technician in this field and will not be described in detail here. By checking the database, the foreign object range and the foreign object position corresponding to the reference object can be matched, which includes the correspondence between the foreign object range and the reference object and the foreign object position.

[0196] Step 702: Based on the fact that the foreign object position is consistent with the inspection feature position, determine the device distance value according to the inspection feature position and device position information.

[0197] The device distance value refers to the distance between the mobile detection device and the inspection feature position. The device distance value corresponding to the inspection feature position and the device position information can be matched through the preset distance database, which contains the corresponding relationship between the inspection feature position and the device position information and the device distance value. The distance database is a manually set database and will not be described here.

[0198] When the foreign object position is consistent with the inspection feature position, it means that the foreign object feature is located at the inspection feature position, and the device distance value needs to be matched to facilitate subsequent steps.

[0199] Step 703: Match the blowing angle and blowing force value from a preset blowing database according to the device distance value, the current wind force value and the current wind direction information.

[0200] The blowing angle refers to the angle at which the blowing device blows away the foreign body features, and the blowing force value refers to the force value at which the blowing device blows away the foreign body features. The blowing device refers to the device used to blow away the foreign body features.

[0201] The blowing database can be used to match the blowing angle and blowing force value corresponding to the device distance value, current wind force value and current wind direction information. It contains the correspondence between the device distance value, current wind force value, current wind direction information and blowing angle. The blowing database is an artificially set database and will not be elaborated here.

[0202] , where v b is the blowing force value, F a is the adhesion of the foreign body characteristics, C dwis the equivalent resistance coefficient when natural wind acts on foreign objects, ρ is the air density, A w is the frontal area of ​​the foreign body, v w is the current wind force value, C d is the drag coefficient, A b It is the air outlet area of ​​the blowing equipment.

[0203] F a , C dw , ρ, A w , C d and A b All of them are calculated in advance by those skilled in the art and will not be described in detail here.

[0204] Step 704: Match the blowing position from the blowing database according to the blowing angle.

[0205] The blowing position refers to the position that the mobile detection device needs to reach when the blowing device blows air to the foreign body feature. The blowing position corresponding to the blowing angle can be matched through the blowing database, which includes the corresponding relationship between the blowing angle and the blowing position.

[0206] Step 705: Control the mobile detection device to move to the blowing position, and at the blowing position, control the blowing equipment preset on the mobile detection device to blow away the foreign matter features with the blowing force value.

[0207] Control the mobile detection device to move to the blowing position, so as to control the blowing equipment on the mobile detection device to blow away the foreign body features with the blowing force value, so that the subsequent viewing equipment can take pictures and scan the inspection features to complete the inspection.

[0208] Optionally, the demisting method further comprises the following steps:

[0209] Step 800: Match the demisting path from the demisting database according to the current wind direction information, device location information, blowing position and vent location.

[0210] The defog path refers to the route taken by the mobile detection device when performing mobile defog. The defog database can match the defog path corresponding to the current wind direction information, device location information, blowing position, and vent position, which contains the corresponding relationship between the current wind direction information, device location information, blowing position, vent position, and defog path.

[0211] Step 801: Determine the driving speed according to the temperature difference value and the current wind force value.

[0212] Driving speed refers to the moving speed of the mobile detection device when performing mobile defogger. The driving speed corresponding to the temperature difference value and the current wind force value can be matched through the preset mobile database, which contains the corresponding relationship between the temperature difference value, the current wind force value and the driving speed. The mobile database is a manually set database and will not be elaborated here.

[0213] Step 802: Based on the fact that the driving speed does not exceed the preset reference speed, the mobile detection device is controlled to move along the defog path at the driving speed to the blowing position to complete the defog.

[0214] The reference speed refers to the fastest driving speed that the motion detection device can support. The reference speed is set in advance by those skilled in the art and will not be described in detail here.

[0215] When the driving speed does not exceed the reference speed, it means that the mobile detection device can perform mobile defogger at the driving speed, and directly control the mobile detection device to move to the blowing position along the defogger path at the driving speed, so as to rely on the natural wind from the outside to enter the rain shielding equipment through the vents, and then balance the temperature difference between the inside and the outside, so as to achieve the defogger effect.

[0216] Step 803: Based on the situation that the driving speed exceeds the reference speed, a reference defog effect is determined according to the reference speed.

[0217] The reference defogging effect refers to the defogging effect that can be achieved when the mobile detection device travels at a reference speed. The reference defogging effect corresponding to the reference speed can be matched through the defogging database, which includes the corresponding relationship between the reference speed and the reference defogging effect.

[0218] When the driving speed exceeds the reference speed, it means that the mobile detection device cannot perform mobile defogger at the driving speed, and the reference defogger effect needs to be matched for subsequent steps.

[0219] Step 804: Match the required power value from a preset defogging database according to the benchmark defogging effect.

[0220] The required power value refers to the power value required by the heat dissipation device to completely remove the water mist. The required power value corresponding to the benchmark demisting effect can be matched through the demisting database, which includes the corresponding relationship between the benchmark demisting effect and the required power value.

[0221] Step 805: Control the mobile detection device to move along the demisting path to the blowing position at a reference speed, and control the heat dissipation device to perform heat dissipation and demisting on the mobile detection device at a required power value.

[0222] The mobile detection device is controlled to move along the defog path to the blowing position at a reference speed, and during the movement of the mobile detection device, the heat dissipation device is controlled to perform heat dissipation and defog on the mobile detection device at a required power value, thereby reducing the energy consumption of the heat dissipation device while completing the defog.

[0223] Based on the same inventive concept, an embodiment of the present invention provides a wind turbine smart point inspection system, including:

[0224] Acquisition module, used for outputting signals, moving shaking values, device location information, surrounding image information, equipment height value, inspection image information, current time information, regional location information, current weather information, viewing image information, current wind direction information, adjusted image information, device temperature value, regional temperature value, and current wind force value;

[0225] A memory, used for storing a program of a wind turbine intelligent point inspection method;

[0226] The processor is used to load, execute and implement the program stored in the memory.

[0227] Based on the same inventive concept, an embodiment of the present invention provides an intelligent terminal, including a memory and a processor, wherein the memory stores a computer program that can be loaded by the processor and execute a wind turbine smart point inspection method.

[0228] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working process of the system, device and unit described above can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0229] 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 wind turbine intelligent point inspection method, characterized in that: include: Obtaining an output signal of a preset motion detection device; Based on the fact that the output signal is consistent with the preset working signal, the moving shaking value and the device position information of the moving detection device are obtained; Matching a reference sway value from a preset detection database according to the mobile position information and preset road surface reference information; Based on the inconsistency between the device shake value and the reference shake value, obtaining surrounding image information of the motion detection device; Match the current road condition from a preset road database based on surrounding image information and road reference information; When the current road condition is consistent with the preset reference road condition, the reporting device will indicate abnormality; When the current road condition is consistent with the preset damaged road condition, a corrected inspection route is matched from the preset inspection database according to the surrounding image information and the preset initial inspection route; Control the mobile detection device to inspect the preset inspection area by correcting the inspection route; Also included is a preset backlight adjustment method, the backlight adjustment method comprising: Based on the fact that the device location information is consistent with the preset inspection location, obtaining inspection image information; Based on the fact that the inspection image information contains preset exposure features, current time information and regional location information are obtained; Match the light irradiation angle from the preset light database according to the current time information and regional location information; Matching backlight adjustment parameters from a preset backlight database according to the light irradiation angle; Determine the shooting angle based on backlight adjustment parameters and preset inspection feature positions; The mobile detection device is controlled to perform shading adjustment with the backlight adjustment parameter, and after the shading adjustment, the viewing device is controlled to perform shooting inspection on the preset inspection features with the shooting angle.

2. A wind turbine smart point inspection method according to claim 1, characterized in that: Also included is a preset height adjustment method, the height adjustment method comprising: Obtaining a device height value of a viewing device preset on the mobile detection device; Based on the inconsistency between the device height value and the preset reference height value, the difference between the device height value and the reference height value is calculated as the height abnormality value; If the height abnormal value is greater than zero, report the road abnormality prompt; Based on the situation that the height abnormal value is less than zero, determining whether the surrounding image information contains a preset pothole feature; Based on the fact that the surrounding image information does not contain pothole features, the adjustment parameters are matched from a preset adjustment database according to the height abnormality value; The viewing device is adjusted by controlling the adjustment device preset on the motion detection device according to the adjustment parameters.

3. A wind turbine smart point inspection method according to claim 1, characterized in that: It also includes a preset rainy day processing method, which includes: When inspecting the inspection area based on the mobile detection device with a modified inspection route, obtain current weather information; Based on the fact that the current weather information is consistent with the preset rain omen characteristics, the preset rain shielding device is controlled to open to wrap the mobile detection device; Based on the fact that the device location information is consistent with the preset inspection location, the viewing image information is obtained; Based on the fact that the image information does not contain the preset inspection features, current wind direction information is obtained; Match the correction position from the inspection database according to the current wind direction information, the terrain conditions of the inspection area and the preset inspection feature positions; The mobile detection device is controlled to move to the correction position, and the viewing device is controlled to scan the inspection features.

4. A wind turbine intelligent point inspection method according to claim 3, characterized in that: It also includes a preset water mist treatment method, which includes: Based on the fact that the image information contains a preset water mist feature, a water mist occlusion range is matched from a preset occlusion database according to the image information and the water mist feature; Matching initial movement adjustment parameters from a preset adjustment database according to the water mist occlusion range; Controlling the viewing device to perform movement adjustment based on the initial movement adjustment parameters, and obtaining adjusted image information after the movement adjustment; Based on the fact that the adjusted image information still contains water mist features, the adjusted water mist occlusion range is matched from the occlusion database according to the adjusted image information and the water mist features; Based on the fact that the water mist shielding range and the adjusted water mist shielding range are consistent, the mobile detection device is controlled to remove the water mist characteristics by a preset defog method; After the water mist feature is removed, the control viewing device scans the inspection features.

5. A wind turbine smart point inspection method according to claim 4, characterized in that: Defogging methods include: Obtain the device temperature value of the mobile detection device and the regional temperature value of the inspection area; Calculating the difference between the device temperature value and the zone temperature value as a temperature difference value; According to the temperature difference value, the heat dissipation power value is matched from the preset temperature database; Based on the situation that the heat dissipation power value exceeds the preset reference power value, controlling the preset heat dissipation device to dissipate heat for the motion detection device at the reference power value, and updating the device temperature value as the post-dissipation temperature value; Update the temperature difference value according to the scattered temperature value and the regional temperature value; Get the current wind force value; According to the current wind direction information, the current wind force value, the updated temperature difference value and the preset vent position, the corrected standing angle is matched from the preset ventilation database, and the motion detection device is controlled to adjust the standing angle to be consistent with the corrected standing angle.

6. A wind turbine intelligent point inspection method according to claim 5, characterized in that: Also included is a preset foreign body removal method, the foreign body removal method comprising: Based on the fact that the image information contains preset foreign body features, the foreign body range is determined according to the image information and the foreign body features; Determine the location of foreign matter based on the foreign matter range and preset reference objects; Based on the situation that the position of the foreign body is consistent with the inspection feature position, the device distance value is determined according to the inspection feature position and the device position information; According to the device distance value, the current wind force value and the current wind direction information, the blowing angle and the blowing force value are matched from the preset blowing database; Match the blowing position from the blowing database according to the blowing angle; The mobile detection device is controlled to move to the blowing position, and at the blowing position, the blowing equipment preset on the mobile detection device is controlled to blow away the foreign matter features according to the blowing force value.

7. A wind turbine intelligent point inspection method according to claim 6, characterized in that: It also includes the algorithm formula for calculating the blowing force value: , where v b is the blowing force value, F a is the adhesion of the foreign body characteristics, C dw is the equivalent resistance coefficient when natural wind acts on foreign objects, ρ is the air density, A w is the frontal area of ​​the foreign body, v w is the current wind force value, C d is the drag coefficient, A b It is the air outlet area of ​​the blowing equipment.

8. A wind turbine intelligent point inspection system, characterized in that: include: Acquisition module, used for outputting signals, moving shaking values, device location information, surrounding image information, equipment height value, inspection image information, current time information, regional location information, current weather information, viewing image information, current wind direction information, adjusted image information, device temperature value, regional temperature value, and current wind force value; A memory, used to store a program of a wind turbine smart point inspection method according to any one of claims 1 to 7; The processor is used to load, execute and implement the program stored in the memory.

9. An intelligent terminal, characterized in that: The invention comprises a memory and a processor, wherein the memory stores a computer program which can be loaded by the processor and executes a wind turbine smart point inspection method as described in any one of claims 1 to 7.

Images