Information processing method and device and program product

Abstract

The invention discloses an information processing method and device and a program product. The method comprises the steps that at least one target area is recognized from a plurality of areas where power transmission lines are deployed, and vegetation is planted in the target area; a satellite remote sensing image of the target area is obtained, and the satellite remote sensing image is used for representing the generation condition of vegetation; determining at least one abnormal sub-region in the target region based on the satellite remote sensing image; determining first ground elevation information of a target vegetation in the abnormal sub-region and second ground elevation information of a target power transmission line in the abnormal sub-region; determining a target operation to be executed on the target vegetation based on the second ground elevation information and the first ground elevation information; in response to the fact that the target operation is the pruning operation, prompt information is output, and the prompt information is used for prompting execution of the pruning operation on the target vegetation. The technical problem of low timeliness of vegetation correction is solved.

Description

Technical Field

[0001] The present invention relates to the field of power transmission lines, and in particular to an information processing method, device and program product. Background Art

[0002] At present, with the development of electricity, the transmission lines of the power grid will pass through areas with dense vegetation such as mountains, forests, and woods. When the vegetation in these areas grows too high, it will come into contact with the transmission lines of the power grid, causing a short circuit in the transmission lines and then a power grid failure. Therefore, it is necessary to regularly monitor the vegetation on some transmission lines so that the vegetation that grows too high can be regularly trimmed to ensure the safe operation of the power grid.

[0003] In the related art, the vegetation trimming is generally done by manually arriving at the site regularly to check and record. Once it is found that the vegetation needs trimming, the vegetation needs to be trimmed. The growth cycle of vegetation varies due to the influence of different regions and climates. When manual on-site monitoring is carried out, it will be affected by human factors and other factors, resulting in the inability to arrive at the site for inspection in time. There is a technical problem of low timeliness in correcting vegetation.

[0004] To address the above-mentioned problems, no effective solution has been proposed yet. Summary of the invention

[0005] The embodiments of the present invention provide an information processing method, device and program product to at least solve the technical problem of low timeliness in correcting vegetation.

[0006] According to one aspect of an embodiment of the present invention, a method for processing information is provided, which may include: identifying at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area; acquiring a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the generation of vegetation; determining at least one abnormal sub-area in the target area based on the satellite remote sensing image; determining first ground elevation information of the target vegetation in the abnormal sub-area, and second ground elevation information of the target transmission line in the abnormal sub-area; determining a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information; and outputting prompt information in response to the target operation being a pruning operation, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

[0007] Optionally, acquiring a satellite remote sensing image of the target area includes: collecting initial satellite remote sensing images corresponding to a plurality of areas; and determining, among the initial satellite remote sensing images, a satellite remote sensing image corresponding to the target area.

[0008] Optionally, determining a satellite remote sensing image corresponding to the target area in the initial satellite remote sensing image includes: determining location information of the target area; and determining the satellite remote sensing image in the initial satellite remote sensing image according to the location information.

[0009] Optionally, determining at least one abnormal sub-region in the target area based on the satellite remote sensing image includes: determining the change result of vegetation in at least one target area based on the satellite remote sensing image; and determining the abnormal sub-region in the target area based on the change result.

[0010] Optionally, based on the satellite remote sensing image, determining the change result of vegetation in at least one target area includes: matching the satellite remote sensing image with historical satellite remote sensing images at historical moments to obtain difference information of the vegetation; and determining the change result based on the difference information.

[0011] Optionally, determining first ground elevation information of target vegetation in the abnormal sub-area and second ground elevation information of target transmission lines in the abnormal sub-area includes: acquiring point cloud data of the abnormal sub-area; and determining the first ground elevation information and the second ground elevation information based on the point cloud data.

[0012] Optionally, obtaining point cloud data of the abnormal sub-region includes: determining position information of the abnormal sub-region; and calling a corresponding laser radar device according to the position information to collect point cloud data.

[0013] Optionally, in response to the target operation being a pruning operation, outputting prompt information includes: in response to the target operation being a pruning operation, determining working statuses of multiple maintenance personnel; determining at least one target maintenance personnel among the maintenance personnel based on the working status; and outputting prompt information to the target maintenance personnel.

[0014] According to another aspect of an embodiment of the present invention, there is also provided an information processing device, which may include: an identification unit, used to identify at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area; an acquisition unit, used to acquire a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the generation of vegetation; a first determination unit, used to determine at least one abnormal sub-area in the target area based on the satellite remote sensing image; a second determination unit, used to determine first ground elevation information of the target vegetation in the abnormal sub-area, and second ground elevation information of the target transmission line in the abnormal sub-area; a third determination unit, used to determine a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information; and an output unit, used to output prompt information in response to the target operation being a pruning operation, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

[0015] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided, which includes a stored program, wherein when the program is executed, the device where the computer-readable storage medium is located is controlled to execute the information processing method of the embodiment of the present invention.

[0016] According to another aspect of an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run by the processor, the information processing method of the embodiment of the present invention is executed.

[0017] According to another aspect of an embodiment of the present invention, a program product is further provided. The program product includes computer instructions. When the computer instructions are executed by a processor, the information processing method of the embodiment of the present invention is implemented.

[0018] In an embodiment of the present invention, at least one target area is identified from multiple areas where power transmission lines are deployed, wherein vegetation is planted in the target area; a satellite remote sensing image of the target area is obtained, wherein the satellite remote sensing image is used to characterize the generation of vegetation; at least one abnormal sub-area in the target area is determined based on the satellite remote sensing image; first ground elevation information of the target vegetation in the abnormal sub-area and second ground elevation information of the target power transmission line in the abnormal sub-area are determined; based on the second ground elevation information and the first ground elevation information, a target operation to be performed on the target vegetation is determined; in response to the target operation being a pruning operation, prompt information is output, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation. That is, in an embodiment of the present invention, the abnormal sub-area where there may be problems is determined using satellite remote sensing images, and the abnormal sub-area is further judged based on the ground elevation information to determine whether the vegetation in the abnormal sub-area needs to be pruned. The above method can timely and effectively detect the growth of vegetation in the area, thereby solving the technical problem of low timeliness of correcting vegetation and achieving the technical effect of improving the timeliness of correcting vegetation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0020] Figure 1 is a flow chart of a method for processing information according to an embodiment of the present invention;

[0021] Figure 2 is a flow chart of a satellite-based power line area vegetation detection and analysis method according to an embodiment of the present invention;

[0022] Figure 3is a schematic diagram of an information processing device according to an embodiment of the present invention;

[0023] Figure 4 is a structural block diagram of a computer terminal according to an embodiment of the present invention;

[0024] Figure 5 It is a block diagram of an electronic device according to an information processing method of an embodiment of the present application. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to an embodiment of the present invention, an embodiment of a method for processing information is provided, and the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and, although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0028] In this embodiment, a method for processing information is proposed. The method can use satellite remote sensing images to determine abnormal sub-areas where problems may exist, and further judge the abnormal sub-areas based on ground elevation information to determine whether the vegetation in the abnormal sub-areas needs to be pruned. The above method can timely and effectively detect the growth of vegetation in the area, thereby solving the technical problem of low timeliness of correcting vegetation and achieving the technical effect of improving the timeliness of correcting vegetation.

[0029] Figure 1FIG. 1 is a flow chart of a method for processing information according to an embodiment of the present invention. Figure 1 As shown, the method may include the following steps:

[0030] Step S102: identifying at least one target area from a plurality of areas where power transmission lines are deployed, wherein vegetation is planted in the target area.

[0031] In the technical solution provided in step S102 of the present invention, the transmission line may be a power transmission line, also referred to as a power line. The target area may be an area planted with vegetation and through which the transmission line passes, may be an area to be detected, and may include areas with dense vegetation such as mountainous areas, forests, and woods.

[0032] Optionally, the above-mentioned vegetation may be a plant community covering the land surface, including but not limited to trees, shrubs, herbaceous plants, etc., and may be plants in the power line area, especially those trees and tall plants whose growth height may pose a threat to high-voltage transmission lines. If the growth of the above-mentioned plants is not controlled, they may touch the transmission lines, causing short circuits, thereby causing power failures and affecting the stability and safety of the power grid. Therefore, it is necessary to determine the growth of plants around the transmission lines to promptly discover potential risks of touching the lines and take measures, such as pruning or removal, to ensure the safe operation of the power lines.

[0033] Optionally, among multiple areas where transmission lines are deployed, some areas may not have vegetation distribution, and some areas may have vegetation distribution. The areas with vegetation distribution can be determined as target areas, and at least one target area can be obtained through this method.

[0034] Step S104, obtaining a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the formation of vegetation.

[0035] In the technical solution provided in the above step S104 of the present invention, after the target area is determined, a satellite remote sensing image of the target area can be obtained. The satellite remote sensing image can be obtained by a sensor carried by a satellite, and can be used to determine the growth of vegetation in the target area. It can be an image related to the ground generated by capturing electromagnetic radiation of different wavelengths, including visible light, infrared, ultraviolet, etc. The satellite remote sensing image can provide a large range and high resolution of surface information, which can include the topography, vegetation coverage, water distribution, urban structure and other structures of the target area. It should be noted that this is only an example, and there is no specific restriction on the type and content of the satellite remote sensing image.

[0036] Optionally, after determining the target area, a satellite remote sensing image of the target area can be obtained through a satellite sensor in the target area, and the satellite remote sensing image can be further judged to determine whether the vegetation in the target area needs to be processed. The processing method of the satellite remote sensing image is further explained below.

[0037] Step S106: determining at least one abnormal sub-region in the target region based on the satellite remote sensing image.

[0038] In the technical solution provided in the above step S106 of the present invention, the growth of vegetation in the target area can be determined based on the satellite remote sensing image, so as to determine at least one abnormal sub-area in the target area. The abnormal sub-area can be a sub-area in the area to be detected where an abnormality exists, can be an area where the growth state of vegetation has changed significantly, and can include the growth of vegetation, and an area that affects the power transmission line.

[0039] Optionally, based on satellite remote sensing images, the growth of vegetation in the target area at different times can be determined. For example, it can be determined whether the growth state of vegetation has changed and whether the changes will pose a threat to the safety of the transmission line, thereby determining at least one abnormal sub-area in the target area.

[0040] For example, based on satellite remote sensing images, it can be determined that the height of vegetation in target area one exceeds the set safety threshold, and may touch or approach the transmission line, causing a short circuit or other power failure, then the target area one can be determined as an abnormal sub-area. Or based on satellite remote sensing images, the increase or decrease of vegetation coverage in target area two can be determined. If the vegetation in target area two increases rapidly and approaches the line, it may become a safety hazard, then target area two can be determined as an abnormal sub-area. If the vegetation in target area two decreases, it may be due to human pruning, disease or disaster, and further confirmation is needed to determine whether it affects the safety of the line. Assuming that there are surface changes caused by construction activities, traces of fire or other non-vegetation factors in target area three, these changes may also indirectly affect the relationship between vegetation and transmission lines. Therefore, target area three can also be determined as an abnormal sub-area to further verify target area three. It should be noted that this is only an example, and there is no specific limitation on the method of determining abnormal sub-areas based on satellite remote sensing images. As long as the method is based on satellite remote sensing images to determine abnormal sub-areas, it should be within the scope of protection of this application.

[0041] Optionally, based on satellite remote sensing images and historical images, anomalies in the target area can be identified, so that the abnormal sub-area that needs to be focused on and further detected can be preliminarily determined. The abnormal sub-area may indicate that remedial measures need to be taken, such as pruning vegetation, adjusting line protection strategies, or on-site inspection and confirmation, to ensure the safe operation of the transmission line.

[0042] Step S108, determining first ground elevation information of target vegetation in the abnormal sub-area, and second ground elevation information of target power transmission line in the abnormal sub-area.

[0043] In the technical solution provided in step S108 of the present invention, after determining the abnormal sub-region, the first ground elevation information of the target vegetation in the abnormal sub-region and the second ground elevation information of the target transmission line in the abnormal sub-region can be obtained. The first ground elevation information can be used to determine the actual height of the vegetation. The second ground elevation information can be used to determine the height information of the target transmission line from the ground.

[0044] Optionally, after determining the abnormal sub-region, the first ground elevation information and the second ground elevation information can be obtained by laser radar (LiDAR) scanning, radar height measurement, satellite image and stereo measurement, global positioning system (GPS) and ground control points, topographic map and digital elevation model (DEM), etc. The method for obtaining the first ground elevation information and the second ground elevation information is not specifically limited here.

[0045] For example, through the laser radar device, the ground of the abnormal sub-area through which the power transmission line passes can be laser scanned to obtain the corresponding scanning point cloud data. According to the scanning point cloud data, the first ground elevation information of the vegetation can be obtained. According to the first ground elevation information of the vegetation, it can be further determined whether the height of the vegetation meets the requirements. Furthermore, the second ground elevation information of the power transmission line in the abnormal sub-area can be combined to determine whether each sub-area has an abnormality.

[0046] Step S110: determining a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information.

[0047] In the technical solution provided in the above step S110 of the present invention, after obtaining the first ground elevation information and the second ground elevation information, it is possible to determine whether the vegetation has an impact on the transmission line and / or the extent to which the vegetation has an impact on the transmission line based on the first ground elevation information and the second ground elevation information, thereby determining the target operation to be performed on the target vegetation. The above target operation may be a pruning operation or no pruning operation is required, and may include information such as the location and length of the pruning operation. It should be noted that this is only an example, and the type of the target operation is not specifically limited.

[0048] Optionally, for the abnormal sub-area, the first ground elevation information of the target vegetation and the second ground elevation information of the transmission line can be compared to determine whether the vegetation in the abnormal sub-area is abnormal, so that the vegetation height of the transmission line can be monitored. If the target vegetation is abnormal and has affected the operation of the transmission line, the target operation to be performed on the target vegetation can be determined so that the vegetation that exceeds the corresponding height can be trimmed in time to ensure the safe operation of the transmission line.

[0049] Optionally, when the vegetation in a certain area is pruned, the satellite remote sensing image of the area can also be updated in the system. That is, for example, after the vegetation is pruned, the system can make timely corrections to the preset satellite remote sensing image so that it can accurately determine whether the image has changed later.

[0050] Step S112: in response to the target operation being a pruning operation, outputting prompt information, wherein the prompt information is used to prompt to perform a pruning operation on the target vegetation.

[0051] In the technical solution provided in the above step S112 of the present invention, if the target operation is a pruning operation, a prompt message may be output. The prompt message may be a text message, a voice message, etc., and may be a program message, a text message, etc. sent to a mobile terminal or other device, and may be used to prompt maintenance personnel to perform a pruning operation on the target vegetation. It should be noted that this is only an example, and there is no specific limitation on the type and sending method of the prompt message.

[0052] At present, with the development of electricity, the transmission lines of the power grid will pass through areas with dense vegetation such as mountains, forests, and woods. When the vegetation in these areas grows too high, it will come into contact with the transmission lines of the power grid, causing a short circuit in the transmission lines and then a power grid failure. Therefore, it is necessary to regularly monitor the vegetation on some transmission lines so that the vegetation that grows too high can be regularly trimmed to ensure the safe operation of the power grid.

[0053] In the related art, for the trimming of vegetation, generally, manual inspection and recording are carried out on site at regular intervals. Once it is found that the vegetation needs to be trimmed, the vegetation needs to be trimmed. The influence of different regions and different climates leads to different growth cycles of vegetation. This kind of manual regular arrival at the site for monitoring will be affected by human and other factors, resulting in the inability to arrive at the site for inspection in time. At the same time, the regular time is also difficult to define. Once the vegetation is not repaired in time, it will affect the safe operation of the power grid. At the same time, every time the maintenance is carried out, manual inspection is required on site, which poses more safety hazards and other problems. Although the staff can control the drone for on-site inspection, the staff does not need to arrive at the site for inspection, but this method still requires the staff to define the monitoring cycle based on experience, resulting in inaccurate monitoring cycle, and the vegetation cannot be trimmed in time, affecting the operation of the power grid. There is a technical problem of low timeliness in correcting vegetation.

[0054] To solve the above problems, in this embodiment, remote detection of vegetation is achieved by utilizing satellite remote sensing images and image recognition technology in combination with point cloud data scanned by a lidar device. The detection technology is not subject to manual restrictions, and is automatic, easy to operate, and accurate. Compared with existing manual inspections, it is safer and saves resources.

[0055] In this embodiment, image technology is used to determine abnormal sub-regions where vegetation problems may exist, and the abnormal sub-regions are identified. Then, a further separate vegetation scan is performed on the identified abnormal sub-regions where problems may exist, so as to obtain first ground elevation information of the vegetation. Then, the second ground elevation information of the corresponding transmission line is combined to determine whether the vegetation in the corresponding abnormal sub-region is abnormal, so as to timely trim the target vegetation with abnormalities, thereby preventing the vegetation from being too high and affecting the safe operation of the transmission line.

[0056] Optionally, in this embodiment, vegetation monitoring does not require manual on-site inspection or operation using equipment such as drones. By using satellite remote sensing images, vegetation monitoring can be achieved and remote monitoring of vegetation can be automatically completed by satellite data communication. The monitoring process is fully automated and does not require manual participation. At the same time, for areas with abnormalities, orders are sent to relevant staff for processing, which is systematic and ensures that vegetation can be trimmed in time.

[0057] Through the above steps S102 and S112 of the present invention, at least one target area is identified from multiple areas where power transmission lines are deployed, wherein vegetation is planted in the target area; a satellite remote sensing image of the target area is obtained, wherein the satellite remote sensing image is used to characterize the generation of vegetation; based on the satellite remote sensing image, at least one abnormal sub-area in the target area is determined; the first ground elevation information of the target vegetation in the abnormal sub-area and the second ground elevation information of the target power transmission line in the abnormal sub-area are determined; based on the second ground elevation information and the first ground elevation information, a target operation to be performed on the target vegetation is determined; in response to the target operation being a pruning operation, prompt information is output, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation. That is, in an embodiment of the present invention, the abnormal sub-area where there may be problems is determined by using satellite remote sensing images, and the abnormal sub-area is further judged based on the ground elevation information to determine whether the vegetation in the abnormal sub-area needs to be pruned. The above method can timely and effectively detect the growth of vegetation in the area, thereby solving the technical problem of low timeliness of correcting vegetation and achieving the technical effect of improving the timeliness of correcting vegetation.

[0058] The above method of this embodiment is further introduced below.

[0059] As an optional implementation, step S104, obtaining a satellite remote sensing image of the target area, includes: collecting initial satellite remote sensing images corresponding to multiple areas; and determining a satellite remote sensing image corresponding to the target area in the initial satellite remote sensing images.

[0060] In this embodiment, initial satellite remote sensing images corresponding to a plurality of regions may be collected in advance, and among the initial satellite remote sensing images, a satellite remote sensing image corresponding to the target region may be determined.

[0061] Optionally, this embodiment may acquire an initial satellite remote sensing image based on the area through which the power transmission line passes at a fixed time, and acquire a satellite remote sensing image of the area to be detected from the initial satellite remote sensing image based on the area to be detected.

[0062] Optionally, since the growth cycle of vegetation has a certain time, it is not necessary to acquire satellite remote sensing images in real time. An appropriate cycle can be selected based on actual experience to regularly acquire satellite remote sensing image data. In addition, the setting of the cycle can determine the most preferred monitoring cycle based on the temperature, humidity, and type of vegetation in the area through which the transmission line passes. It should be noted that this is only an example, and there is no specific restriction on the conditions for determining the monitoring cycle. At the same time, the cycle can also be determined based on the time of vegetation trimming, for example, the time from the first trimming of vegetation to the next trimming of vegetation.

[0063] In this embodiment, when acquiring the initial satellite remote sensing image, it can be acquired according to the area through which the power transmission line passes. Since the area spanned by the power transmission line of the power grid is relatively large, some areas have vegetation, some areas do not have vegetation, or the types of vegetation in some areas will not cause damage to the power transmission line, etc., therefore, the initial satellite remote sensing image of the area through which the power transmission line passes can be first acquired, and then the satellite remote sensing image of the area to be detected can be acquired from the initial satellite remote sensing image according to the area to be detected. The area that does not need to be detected can be removed from the initial satellite remote sensing image for subsequent calculations to reduce the amount of data processing.

[0064] Similarly, due to the differences in the areas through which the transmission lines pass, not all areas through which the transmission lines pass need to be subject to vegetation detection. Therefore, in actual use, one or more areas to be detected can be formulated based on actual experience, and each area to be detected refers to an area that requires vegetation monitoring. In addition, the area through which the above-mentioned transmission lines pass does not necessarily refer to the entire power grid, but can also be an area of ​​the power grid, for example, it can be an area divided according to provinces, cities, or longitude and latitude, so as to avoid processing too much data.

[0065] As an optional implementation, determining a satellite remote sensing image corresponding to a target area in an initial satellite remote sensing image includes: determining location information of the target area; and determining a satellite remote sensing image in the initial satellite remote sensing image according to the location information.

[0066] In this embodiment, the location information of the target area can be determined; according to the location information, the satellite remote sensing image can be determined in the initial satellite remote sensing image. The above location information can be used to determine the location of the target area in the area, and can be the azimuth information, longitude and latitude information of the target area, etc. It should be noted that this is only an example, and the type of location information is not specifically limited.

[0067] For example, the initial satellite remote sensing image of region 1 can be obtained first, and the position information of target region 2 and target region 3 in region 1, as well as the area size of region 1 and region 2 and other information can be determined, wherein the position information can include position information and / or area information. Further, based on the position information, the initial satellite remote sensing image can be divided to obtain the satellite remote sensing image corresponding to the target region.

[0068] As an optional implementation, step S106, based on the satellite remote sensing image, determines at least one abnormal sub-region in the target area, including: based on the satellite remote sensing image, determining the change result of vegetation in at least one target area; based on the change result, determining the abnormal sub-region in the target area.

[0069] In this embodiment, based on the satellite remote sensing image, the change result of the target vegetation in at least one target area can be determined, and based on the change result, the abnormal sub-area in the target area can be determined. The above change result can be the change of the growth height of the target vegetation, the change of the growth area of ​​the target vegetation, etc. It should be noted that this is only an example, and the type of change result is not specifically limited.

[0070] For example, the growth height of vegetation in the target area can be determined based on satellite remote sensing images. Further, based on the growth height, it can be determined whether the vegetation will have an impact on the transmission line after growth. If so, the area where the vegetation is deployed can be determined as an abnormal sub-area. Alternatively, the growth changes of vegetation in the target area can be determined based on satellite remote sensing images at multiple times. Further, based on the changes, it can be estimated how long it will take for the vegetation to have an impact on the transmission line, and at that moment, the area where the vegetation is located can be determined as an abnormal sub-area. Alternatively, satellite remote sensing images can be identified through a neural network model to directly determine the abnormal sub-area in the target area. It should be noted that this is only an example, and there is no specific limitation on the method for determining the abnormal sub-area. As long as the method is based on satellite remote sensing images to determine the abnormal sub-area, it should be within the scope of protection of this application.

[0071] As an optional implementation, based on satellite remote sensing images, determining the change results of vegetation in at least one target area includes: matching the satellite remote sensing image with historical satellite remote sensing images at historical moments to obtain vegetation difference information; and determining the change results based on the difference information.

[0072] In this embodiment, historical satellite remote sensing images collected at historical moments are obtained, and the satellite remote sensing images collected at the current moment can be matched with the historical satellite remote sensing images at historical moments to obtain difference information of the target vegetation in the target area. Furthermore, based on the difference information, the change results of the target vegetation can be determined.

[0073] Optionally, the acquired satellite remote sensing image of the area to be detected is matched and compared with a preset satellite remote sensing image (which may be a historical remote sensing image) of the area to be detected, and several abnormal sub-areas with abnormalities in the area to be detected are obtained based on the matching results.

[0074] For example, image recognition processing can be performed based on two satellite remote sensing images acquired at adjacent times to indicate areas where vegetation has changed based on changes in the images, so that the next step of detection can be performed on areas where changes have occurred. Satellite remote sensing images will change due to differences in vegetation growth characteristics or heights at different times. Therefore, abnormal areas can be found based on changes in the images for further judgment and detection.

[0075] Optionally, the above-mentioned historical satellite remote sensing image can be an image collected at a historical moment, or it can be a preset satellite remote sensing image of the area to be detected, or it can be a satellite remote sensing image acquired for the first time. Furthermore, the currently acquired satellite remote sensing image can be matched with the satellite remote sensing image acquired for the first time to determine the difference area between the two, so as to know which vegetation in which area has changed. At the same time, the preset satellite remote sensing image can also be a satellite remote sensing image acquired last time, or an initial satellite remote sensing image pre-set by the system. It should be noted that the above-mentioned historical moment can be the moment before the current moment, or it can be the moment when data is first collected. There is no specific restriction on the historical moment here.

[0076] As an optional implementation, step S108, determining the first ground elevation information of the target vegetation in the abnormal sub-area, and the second ground elevation information of the target transmission line in the abnormal sub-area, includes: acquiring point cloud data of the abnormal sub-area; based on the point cloud data, determining the first ground elevation information, and the second ground elevation information.

[0077] In this embodiment, point cloud data of the abnormal sub-region can be obtained, and based on the point cloud data, the first ground elevation information and the second ground elevation information can be determined. The point cloud data can be scanning point cloud data, which can be used to obtain the ground elevation information of the area to be detected.

[0078] Optionally, scanned point cloud data of the area to be detected is obtained. Based on the scanned point cloud data of the area to be detected, point cloud data of the abnormal sub-area is determined, and based on the point cloud data of the abnormal sub-area, ground elevation information (that is, first ground elevation information and second ground elevation information) of each abnormal sub-area can be obtained.

[0079] For example, a laser radar device can be used to perform laser scanning on the ground in the area where the transmission line passes to obtain corresponding scanning point cloud data. By processing the scanning point cloud data of the abnormal sub-area, the first ground elevation information of the vegetation and the second ground elevation information of the transmission line can be obtained based on the scanning point cloud data. Based on the first ground elevation information and the second elevation information, it can be further determined whether the height of the vegetation meets the requirements, or it can be determined whether the vegetation touches the transmission line.

[0080] As an optional implementation, obtaining point cloud data of the abnormal sub-region includes: determining position information of the abnormal sub-region; and calling a corresponding laser radar device according to the position information to collect point cloud data.

[0081] In this embodiment, the position information of the abnormal sub-region is determined, and a laser radar device corresponding to the position information can be called. Through the laser radar device, point cloud data of the abnormal sub-region can be collected.

[0082] Optionally, a laser radar device may be installed at the site of the power transmission line. For example, the laser radar device may be installed on a power pole or a power tower, or on other fixed frames, so as to scan the vegetation within the corresponding range.

[0083] Optionally, the installation location of the laser radar device is known to the system, and the coverage range thereof is also known. Therefore, when several abnormal sub-regions with abnormalities are identified, the corresponding laser radar device can be matched and identified according to the location information of each abnormal sub-region, and a scanning instruction can be sent to the corresponding laser radar device via a satellite to start the laser radar device to perform point cloud scanning.

[0084] Optionally, the scanning point cloud data obtained by each laser radar device can also be uploaded to the ground monitoring center via satellite, and the ground monitoring center will summarize the data and feed it back to the backend server. The backend server can analyze the received scanning point cloud data to determine the laser radar device it belongs to.

[0085] Optionally, this embodiment uses satellites and image recognition to achieve remote monitoring of vegetation in areas where power transmission lines pass through, and combines it with a laser scanning device, eliminating the need for manual on-site inspection.

[0086] In this embodiment, the abnormal sub-area with problems is first determined by satellite, and then the vegetation in the abnormal sub-area is further monitored by a lidar device installed on site, thereby avoiding problems such as waste of resources caused by continuous operation of the lidar device directly on site. At the same time, the complexity of each data processing can be reduced by regional processing.

[0087] As an optional implementation, step S112, in response to the target operation being a pruning operation, outputting prompt information, includes: in response to the target operation being a pruning operation, determining the working status of multiple maintenance personnel; based on the working status, determining at least one target maintenance personnel among the maintenance personnel; and outputting prompt information to the target maintenance personnel.

[0088] In this embodiment, when it is determined that an abnormality exists in the abnormal sub-region, it can be determined that the target vegetation in the abnormal sub-region needs to be pruned, that is, the target operation can be determined to be a pruning operation. In response to the target operation being a pruning operation, prompt information can be output.

[0089] Optionally, after outputting the prompt information, the working status of multiple maintenance personnel may be determined first, and based on the working status, at least one target maintenance personnel among the multiple maintenance personnel may be determined, so as to output the prompt information to the target maintenance personnel, wherein the target maintenance personnel may be a maintenance personnel whose working status is idle in the current period. The maintenance personnel may be personnel who prunes vegetation. The working status may include a busy state and an idle state, which may be used to determine whether the maintenance personnel has a pruning task at this time.

[0090] Optionally, the prompt information may be a vegetation maintenance order, which may be published in a corresponding maintenance program (APP). The maintenance APP may be installed on a mobile terminal of a maintenance person (also referred to as a staff member), and the staff member may log in to the maintenance APP to receive a vegetation maintenance order so as to trim the vegetation in the corresponding area.

[0091] Optionally, vegetation maintenance orders can also be given priorities, and different dispatching methods can be selected based on the priorities. For example, when the priority of a vegetation maintenance order is higher than a certain level, direct forced dispatching is performed, that is, the order is forced to be dispatched to the corresponding staff, so that the staff can promptly prune the vegetation that needs to be pruned urgently. When the priority of a vegetation maintenance order is lower than a certain level, forced dispatching is not selected, and the staff can receive the order according to their own flexible time.

[0092] Optionally, when dispatching orders, the principle of proximity can be followed. For example, when the areas where two vegetation maintenance orders are located are close, when one vegetation maintenance order is received, the system will forcibly dispatch the other vegetation maintenance order. In this way, it can ensure that the staff can complete the two vegetation maintenance orders at the same time to save manpower, and at the same time ensure that the vegetation maintenance orders are processed in a timely manner to ensure the processing efficiency of the vegetation maintenance orders.

[0093] After completing each order, the staff can change the completion status of the corresponding order to completed and report it to the system so that the vegetation parameters of the area can be updated in time in the system.

[0094] Optionally, this embodiment may also adopt a dispatching method to assign abnormal sub-areas with abnormalities to staff members, so as to timely prune the target vegetation with abnormalities.

[0095] In an embodiment of the present invention, satellite remote sensing images are used to determine abnormal sub-areas where problems may exist, and based on ground elevation information, further judgment is made on the abnormal sub-areas to determine whether it is necessary to trim the vegetation in the abnormal sub-areas. The above method can timely and effectively detect the growth of vegetation in the area, thereby solving the technical problem of low timeliness of correcting vegetation and achieving the technical effect of improving the timeliness of correcting vegetation.

[0096] The following is a further supplementary explanation of the technical solution of the present application using a satellite-based power line area vegetation detection and analysis method.

[0097] Figure 2 FIG. 1 is a flow chart of a satellite-based power line area vegetation detection and analysis method according to an embodiment of the present invention. Figure 2 As shown, the method may include the following steps:

[0098] Step S202, obtaining a satellite remote sensing image of the area to be detected.

[0099] In this embodiment, the satellite remote sensing image of the area through which the power transmission line passes can be acquired at regular intervals, and the satellite remote sensing image of the area to be detected can be acquired from the satellite remote sensing image according to the area to be detected.

[0100] Step S204: determining abnormal sub-regions in the area to be detected based on the satellite remote sensing image.

[0101] In this embodiment, the acquired satellite remote sensing image of the area to be detected is matched and compared with a preset satellite remote sensing image of the area to be detected, and a number of sub-areas with abnormalities in the area to be detected are obtained based on the matching results.

[0102] Step S206, obtaining point cloud data of the abnormal sub-region.

[0103] In this embodiment, according to each abnormal sub-region where an abnormality exists, a scanning instruction is sent to the corresponding lidar device via a satellite, and then the scanning point cloud data (i.e., point cloud data) of each abnormal sub-region collected by each lidar device is obtained.

[0104] Step S208, determining whether there is an abnormality in the abnormal sub-region.

[0105] In this embodiment, it is possible to determine whether each abnormal sub-region has an abnormality in combination with the ground elevation information of the power transmission line in each abnormal sub-region.

[0106] Step S210: In response to an abnormality in the abnormal sub-region, output prompt information.

[0107] In this embodiment, when an abnormality exists in the abnormal sub-area, a vegetation maintenance order may be generated and published to a corresponding maintenance procedure.

[0108] In this embodiment, satellite and image recognition technology is used in combination with a laser scanning device to realize remote monitoring of vegetation in the area through which the transmission line passes. There is no need for manual on-site inspection or the use of drones, etc., which is easy to operate and saves labor costs.

[0109] Optionally, this embodiment first detects abnormal sub-regions that may have problems through satellite remote sensing images, and then uses a lidar device to further detect and judge the abnormal sub-regions, thereby reducing the complexity of each data processing; at the same time, it also avoids the problem of wasting resources when the lidar device is in a working state for a long time.

[0110] Optionally, the abnormal sub-areas where vegetation that needs to be trimmed are located can be assigned to corresponding staff through order dispatching, so that the abnormal vegetation can be trimmed in time to ensure the safe operation of the transmission line, thereby solving the technical problem of low timeliness of vegetation correction and achieving the technical effect of improving the timeliness of vegetation correction.

[0111] According to an embodiment of the present invention, an information processing device is also provided. It should be noted that the information processing device of this embodiment can be used to execute the information processing method of embodiment 1 of the present invention.

[0112] Figure 3 is a schematic diagram of an information processing device according to an embodiment of the present invention. Figure 3 As shown, the information processing device 30 may include: an identification unit 302 , an acquisition unit 304 , a first determination unit 306 , a second determination unit 308 , a third determination unit 310 and an output unit 312 .

[0113] The identification unit 302 is used to identify at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area.

[0114] The acquisition unit 304 is used to acquire a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the formation of vegetation.

[0115] The first determining unit 306 is configured to determine at least one abnormal sub-region in the target region based on the satellite remote sensing image.

[0116] The second determining unit 308 is used to determine first ground elevation information of the target vegetation in the abnormal sub-area and second ground elevation information of the target power transmission line in the abnormal sub-area.

[0117] The third determining unit 310 is used to determine a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information.

[0118] The output unit 312 is used to output prompt information in response to the target operation being a pruning operation, wherein the prompt information is used to prompt to perform a pruning operation on the target vegetation.

[0119] The information processing device of this embodiment identifies at least one target area from multiple areas where transmission lines are deployed through an identification unit, wherein vegetation is planted in the target area; obtains a satellite remote sensing image of the target area through an acquisition unit, wherein the satellite remote sensing image is used to characterize the generation of vegetation; determines at least one abnormal sub-area in the target area based on the satellite remote sensing image through a first determination unit; determines first ground elevation information of the target vegetation in the abnormal sub-area and second ground elevation information of the target transmission line in the abnormal sub-area through a second determination unit; determines a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information through a third determination unit; and outputs prompt information through an output unit in response to the target operation being a pruning operation, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation, thereby solving the technical problem of low timeliness of correcting vegetation and achieving the technical effect of improving the timeliness of correcting vegetation.

[0120] The embodiment of the present invention can provide a computer terminal, which can be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the computer terminal can also be replaced by a terminal device such as a mobile terminal.

[0121] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

[0122] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the information processing method: identifying at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area; obtaining a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the generation of vegetation; based on the satellite remote sensing image, determining at least one abnormal sub-area in the target area; determining first ground elevation information of the target vegetation in the abnormal sub-area, and second ground elevation information of the target transmission line in the abnormal sub-area; based on the second ground elevation information and the first ground elevation information, determining a target operation to be performed on the target vegetation; in response to the target operation being a pruning operation, outputting prompt information, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

[0123] Optionally, Figure 4 is a structural block diagram of a computer terminal according to an embodiment of the present invention. Figure 4 As shown, the computer terminal 408 may include: one or more (only one is shown in the figure) processors 402 , a memory 404 and a transmission device 406 .

[0124] Among them, the memory can be used to store software programs and modules, such as program instructions / modules corresponding to the information processing method and device in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the above-mentioned information processing method. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 408 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0125] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: identify at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area; obtain a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the generation of vegetation; based on the satellite remote sensing image, determine at least one abnormal sub-area in the target area; determine first ground elevation information of the target vegetation in the abnormal sub-area, and second ground elevation information of the target transmission line in the abnormal sub-area; based on the second ground elevation information and the first ground elevation information, determine a target operation to be performed on the target vegetation; in response to the target operation being a pruning operation, output prompt information, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

[0126] It can be understood by those skilled in the art that Figure 4 The structure shown is for illustration only, and the computer terminal 408 may also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a PDA, a mobile Internet device (Mobile Internet Devices, referred to as MID), a PAD, or other terminal devices. Figure 4 The structure of the computer terminal 408 is not limited. For example, the computer terminal 408 may also include Figure 4 More or fewer components (such as network interfaces, display devices, etc.) shown in, or having Figure 4 Different configurations are shown.

[0127] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a disk or an optical disk, etc.

[0128] According to an embodiment of the present invention, a computer-readable storage medium is further provided. The computer-readable storage medium includes a stored program, wherein the program executes the information processing method in the above embodiment.

[0129] Optionally, in this embodiment, the computer-readable storage medium may be located in any one of the computer terminals in a computer terminal group in a computer network, or in any one of the mobile terminals in a mobile terminal group.

[0130] Optionally, in this embodiment, the computer-readable storage medium is configured to store program codes for executing the following steps: identifying at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area; obtaining a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the generation of vegetation; determining at least one abnormal sub-area in the target area based on the satellite remote sensing image; determining first ground elevation information of the target vegetation in the abnormal sub-area, and second ground elevation information of the target transmission line in the abnormal sub-area; determining a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information; and outputting prompt information in response to the target operation being a pruning operation, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

[0131] Optionally, the computer-readable storage medium may also execute program codes of the following steps: acquiring initial satellite remote sensing images corresponding to a plurality of regions; and determining, among the initial satellite remote sensing images, a satellite remote sensing image corresponding to the target region.

[0132] Optionally, the computer-readable storage medium may also execute program codes for the following steps: determining location information of the target area; and determining a satellite remote sensing image in an initial satellite remote sensing image according to the location information.

[0133] Optionally, the computer-readable storage medium may also execute program codes for the following steps: determining the change results of vegetation in at least one target area based on satellite remote sensing images; and determining abnormal sub-areas in the target area based on the change results.

[0134] Optionally, the computer-readable storage medium may also execute program codes for the following steps: matching the satellite remote sensing image with historical satellite remote sensing images at historical moments to obtain vegetation difference information; and determining the change result based on the difference information.

[0135] Optionally, the computer-readable storage medium may also execute program codes of the following steps: acquiring point cloud data of the abnormal sub-area; and determining first ground elevation information and second ground elevation information based on the point cloud data.

[0136] Optionally, the computer-readable storage medium may also execute program codes of the following steps: determining location information of the abnormal sub-region; and calling a corresponding laser radar device according to the location information to collect point cloud data.

[0137] Optionally, the computer-readable storage medium may also execute program code of the following steps: in response to the target operation being a trimming operation, determining the working status of multiple maintenance personnel; based on the working status, determining at least one target maintenance personnel among the maintenance personnel; and outputting prompt information to the target maintenance personnel.

[0138] In this embodiment, satellite remote sensing images are used to determine abnormal sub-areas where problems may exist, and based on ground elevation information, further judgment is made on the abnormal sub-areas to determine whether the vegetation in the abnormal sub-areas needs to be pruned. The above method can timely and effectively detect the growth of vegetation in the area, thereby solving the technical problem of low timeliness of correcting vegetation and achieving the technical effect of improving the timeliness of correcting vegetation.

[0139] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program. When the program is run by the processor, the information processing method in the above embodiment is executed.

[0140] Optionally, in this embodiment, the computer terminal may be located in at least one network device among a plurality of network devices of the computer network.

[0141] In this embodiment, the above-mentioned computer terminal can execute the program code of the following steps in the information processing method: identifying at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area; obtaining a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the generation of vegetation; based on the satellite remote sensing image, determining at least one abnormal sub-area in the target area; determining first ground elevation information of the target vegetation in the abnormal sub-area, and second ground elevation information of the target transmission line in the abnormal sub-area; based on the second ground elevation information and the first ground elevation information, determining a target operation to be performed on the target vegetation; in response to the target operation being a pruning operation, outputting prompt information, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

[0142] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the information processing method and device in the embodiment of the present invention. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, realizing the above-mentioned information processing method. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0143] The processor can call the information and application programs stored in the memory through the transmission device to perform the following steps: identify at least one target area from multiple areas where transmission lines are deployed, wherein vegetation is planted in the target area; obtain a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the generation of vegetation; based on the satellite remote sensing image, determine at least one abnormal sub-area in the target area; determine first ground elevation information of the target vegetation in the abnormal sub-area, and second ground elevation information of the target transmission line in the abnormal sub-area; based on the second ground elevation information and the first ground elevation information, determine a target operation to be performed on the target vegetation; in response to the target operation being a pruning operation, output prompt information, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

[0144] Optionally, the processor may also execute program codes of the following steps: acquiring initial satellite remote sensing images corresponding to a plurality of regions; and determining, among the initial satellite remote sensing images, a satellite remote sensing image corresponding to the target region.

[0145] Optionally, the processor may also execute program codes of the following steps: determining location information of the target area; and determining a satellite remote sensing image in an initial satellite remote sensing image according to the location information.

[0146] Optionally, the processor may also execute program codes of the following steps: determining the change result of vegetation in at least one target area based on the satellite remote sensing image; and determining an abnormal sub-area in the target area based on the change result.

[0147] Optionally, the processor may also execute program codes of the following steps: matching the satellite remote sensing image with the historical satellite remote sensing image at the historical moment to obtain vegetation difference information; and determining the change result based on the difference information.

[0148] Optionally, the processor may also execute program codes of the following steps: acquiring point cloud data of the abnormal sub-area; and determining first ground elevation information and second ground elevation information based on the point cloud data.

[0149] Optionally, the processor may also execute program codes of the following steps: determining location information of the abnormal sub-region; and calling a corresponding laser radar device according to the location information to collect point cloud data.

[0150] Optionally, the processor may also execute program codes of the following steps: in response to the target operation being a trimming operation, determining the working status of multiple maintenance personnel; based on the working status, determining at least one target maintenance personnel among the maintenance personnel; and outputting prompt information to the target maintenance personnel.

[0151] By adopting the embodiment of the present invention, satellite remote sensing images are used to determine abnormal sub-regions where problems may exist, and based on ground elevation information, further judgment is made on the abnormal sub-regions to determine whether the vegetation in the abnormal sub-regions needs to be pruned. The above method can timely and effectively detect the growth of vegetation in the area, thereby solving the technical problem of low timeliness of correcting vegetation and achieving the technical effect of improving the timeliness of correcting vegetation.

[0152] According to an embodiment of the present invention, a computer program product is further provided. The computer program product includes computer instructions. When the computer instructions are executed by a processor, the information processing method in the above embodiment is implemented.

[0153] An embodiment of the present application may provide an electronic device, which may include a memory and a processor.

[0154] Figure 5It is a block diagram of an electronic device according to a method for processing information in accordance with an embodiment of the present application. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present application described and / or required herein.

[0155] like Figure 5 As shown, the device 500 includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 to a random access memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0156] A number of components in the device 500 are connected to the I / O interface 505, including: an input unit 506, such as a keyboard, a mouse, etc.; an output unit 504, such as various types of displays, speakers, etc.; a storage unit 508, such as a disk, an optical disk, etc.; and a communication unit 509, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0157] The computing unit 501 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above, such as a verification method for data. For example, in some embodiments, the verification method for data may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 500 via the ROM 502 and / or the communication unit 509. When the computer program is loaded into RAM 503 and executed by the computing unit 501, one or more steps of the data verification method described above may be performed. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the data verification method in any other appropriate manner (e.g., by means of firmware).

[0158] According to an embodiment of the present application, a method for processing information is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0159] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on a chip (SOCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor that may be a dedicated or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0160] The program code for implementing the method of the present application can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code can be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0161] In the context of the present application, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0162] To provide interaction with a user, the systems and techniques described herein may be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or an LCD (liquid crystal display, monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a path ball) through which the user can provide input to the computer. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0163] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a Local Area Network (LAN), a Wide Area Network (WAN), and the Internet.

[0164] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship of client and server is generated by computer programs running on respective computers and having a client-server relationship with each other. The server may be a cloud server, a server of a distributed system, or a server combined with a blockchain.

[0165] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0166] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0167] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic, for example, the division of units can be a logical function division, and there can be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0168] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0169] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0170] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, disk or optical disk and other media that can store program codes.

[0171] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for processing information, characterized in that: include: Identifying at least one target area from a plurality of areas where power transmission lines are deployed, wherein vegetation is planted in the target area; Acquire a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used to characterize the formation of the vegetation; Based on the satellite remote sensing image, determining at least one abnormal sub-region in the target area; Determine first ground elevation information of target vegetation in the abnormal sub-area, and second ground elevation information of target power transmission line in the abnormal sub-area; Determining a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information; In response to the target operation being a pruning operation, prompt information is output, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

2. The method according to claim 1, characterized in that The step of acquiring a satellite remote sensing image of the target area comprises: Acquiring initial satellite remote sensing images corresponding to the multiple areas; In the initial satellite remote sensing images, a satellite remote sensing image corresponding to the target area is determined.

3. The method according to claim 2, characterized in that Determining the satellite remote sensing image corresponding to the target area in the initial satellite remote sensing image includes: Determining location information of the target area; According to the position information, the satellite remote sensing image is determined in the initial satellite remote sensing image.

4. The method according to claim 1, characterized in that: The step of determining at least one abnormal sub-region in the target region based on the satellite remote sensing image comprises: Determining, based on the satellite remote sensing image, a change result of the target vegetation in at least one of the target areas; Based on the change result, the abnormal sub-region in the target region is determined.

5. The method according to claim 4, characterized in that The determining, based on the satellite remote sensing image, a change result of the target vegetation in at least one of the target areas, comprises: Matching the satellite remote sensing image with historical satellite remote sensing images at historical moments to obtain difference information of the target vegetation; Based on the difference information, the change result is determined.

6. The method according to claim 1, characterized in that The determining of first ground elevation information of target vegetation in the abnormal sub-area and second ground elevation information of target power transmission line in the abnormal sub-area includes: Acquire point cloud data of the abnormal sub-area; Based on the point cloud data, the first ground elevation information and the second ground elevation information are determined.

7. The method according to claim 5, characterized in that The step of acquiring the point cloud data of the abnormal sub-region comprises: Determining location information of the abnormal sub-region; According to the position information, the corresponding laser radar device is called to collect the point cloud data.

8. The method according to claim 1, characterized in that In response to the target operation being a trim operation, outputting prompt information includes: In response to the target operation being a pruning operation, determining a working status of a plurality of maintenance personnel; Based on the working status, determining at least one target maintenance personnel among the maintenance personnel; The prompt information is output to the target maintenance personnel.

9. An information processing device, characterized in that: include: An identification unit, configured to identify at least one target area from a plurality of areas where power transmission lines are deployed, wherein vegetation is planted in the target area; An acquisition unit, used for acquiring a satellite remote sensing image of the target area, wherein the satellite remote sensing image is used for representing the formation of the vegetation; A first determining unit, configured to determine at least one abnormal sub-region in the target region based on the satellite remote sensing image; A second determining unit is used to determine first ground elevation information of target vegetation in the abnormal sub-area and second ground elevation information of target power transmission line in the abnormal sub-area; a third determining unit, configured to determine a target operation to be performed on the target vegetation based on the second ground elevation information and the first ground elevation information; The output unit is used to output prompt information in response to the target operation being a pruning operation, wherein the prompt information is used to prompt the pruning operation to be performed on the target vegetation.

10. A computer program product, characterized in that The method comprises computer instructions, which implement the method according to any one of claims 1 to 8 when executed by a processor.

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