Power grid identification information acquisition system based on visual identification

Abstract

The invention discloses a power grid identification information acquisition system based on visual identification, and relates to the technical field of power grid identification information acquisition, and the system comprises an information analysis terminal which is used for controlling each module to carry out power grid identification information acquisition, drawing correction, integrity analysis, definition analysis and generation of a power grid identification installation rule. According to the method, firstly, the information acquisition path of the unmanned aerial vehicle is determined, it is ensured that the unmanned aerial vehicle can complete the information acquisition of the power grid identifier with less energy, and the information acquisition cost is reduced, secondly, through the flight distance of the unmanned aerial vehicle, drawing correction is carried out on the power equipment distribution diagram containing the to-be-acquired information, and the information acquisition accuracy is improved. According to the method, the correct position of the power equipment can be recorded in a drawing, subsequent information collection and replacement are convenient and fast, and finally, corresponding installation tools, protection tools and power grid identification replacement steps are selected according to the type of the power equipment. And the possibility that the body of a worker is injured can also be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid identification information collection, and specifically relates to a power grid identification information collection system based on visual recognition. Background Art

[0002] Power grid identification refers to the signs or symbols used to identify power facilities such as equipment, lines, and substations in the power system. It is usually used to ensure the safe operation, maintenance, and management of the power system. The content of power grid identification may include information such as equipment numbers, voltage levels, line names, safety warnings, etc.

[0003] Power equipment is installed in different areas. If information collection is carried out manually, it will increase the work intensity of the staff. Moreover, some power equipment is installed in areas with certain dangers. If the staff collects information about it, it may cause certain harm to their bodies. Summary of the Invention

[0004] To solve the above technical problems, a power grid identification information collection system based on visual recognition is provided. This technical solution solves the problems raised in the above background art that power equipment is installed in different areas. If information collection is carried out manually, it will increase the work intensity of the staff. Moreover, some power equipment is installed in areas with certain dangers. If the staff collects information about it, it may cause certain harm to their bodies.

[0005] To achieve the above purposes, the technical solution adopted by the present invention is as follows:

[0006] A power grid identification information collection system based on visual recognition, comprising:

[0007] An information analysis terminal, which is used to control each module to collect power grid identification information, correct drawings, analyze integrity, analyze clarity, and generate installation rules for power grid identification;

[0008] A data collection module, which is used to collect information about power grid identification, obtain the flight distance of the unmanned aerial vehicle and the real-time information of the power grid identification;

[0009] A power grid distribution map correction module, which is used to correct the drawings of the power equipment distribution map containing information to be collected, and obtain a corrected power equipment distribution map;

[0010] An integrity analysis module, which is used to perform data analysis on the real-time information of the power grid identification to determine the integrity of the power grid identification;

[0011] Clarity analysis module, which is used to perform image analysis on the real-time information of the power grid identifier to determine the clarity of the power grid identifier;

[0012] Power grid identifier installation specification module, which is used to generate the installation rules of the power grid identifier, and the staff install the power grid identifier according to the installation rules of the power grid identifier.

[0013] Preferably, the data acquisition module is used to collect information on the power grid identifier, and the steps for obtaining the flight distance of the drone and the real-time information of the power grid identifier are as follows:

[0014] Import the power equipment distribution map containing the information to be collected into the drone;

[0015] Based on the drone, perform position analysis on the power equipment distribution map containing the information to be collected to determine the information collection end point and the information collection path;

[0016] Based on the information collection end point and the information collection path, the drone collects information on the power grid identifier of the power equipment, and obtains the flight distance of the drone and the real-time information of the power grid identifier.

[0017] Preferably, the steps for performing position analysis on the power equipment distribution map containing the information to be collected based on the drone to determine the information collection start point, the information collection end point and the information collection path are as follows:

[0018] Obtain the position node of the drone, and the position node of the drone is specifically the current position information of the drone;

[0019] Perform feature extraction processing on the power equipment distribution map containing the information to be collected to obtain the position nodes of all power equipment, and the position nodes of the power equipment are specifically the position information of the power equipment to be collected;

[0020] Pair the position node of the drone and the position nodes of all power equipment pairwise to obtain at least one pair of nodes;

[0021] Perform path calculation processing on the pair of nodes to obtain at least one pair of node distances;

[0022] Based on the minimum value function, screen the pair of node distances with the position node of the drone as a feature to obtain the first node position for information collection;

[0023] Based on the minimum value function, screen the remaining pair of node distances with the first node position for information collection as a feature to obtain the second node position for information collection, and determine the information collection end point through multiple path screenings using the minimum value function;

[0024] Draw a curve for the position nodes of the UAV, the positions of the first node and the second node for information collection, and the end point of information collection to determine the information collection path.

[0025] Preferably, based on the information collection end point and the information collection path, the UAV collects information on the power grid identification of the power equipment, and obtaining the flight distance of the UAV and the real-time information of the power grid identification specifically includes the following steps:

[0026] Based on the position nodes of the UAV, the UAV sails to the position of the first node for information collection and collects information on the position of the first node for information collection, obtaining the first flight distance of the UAV and the real-time information of the first power grid identification;

[0027] Based on the position of the first node for information collection, the UAV sails to the position of the second node for information collection and collects information on the position of the second node for information collection, obtaining the second flight distance of the UAV and the real-time information of the second power grid identification;

[0028] Based on the UAV, collect flight distance information according to the remaining position nodes for information collection in the information collection path and collect information on the power grid identification of the remaining position nodes for information collection, obtaining the remaining flight distance of the UAV and the real-time information of the remaining power grid identification.

[0029] Preferably, the power grid distribution map correction module is used to correct the drawing of the power equipment distribution map containing the power equipment to be information-collected to obtain the corrected power equipment distribution map, which specifically includes the following steps:

[0030] Make a consistency judgment between the first flight distance of the UAV and the first node pair distance in the node pair distance to determine whether the first node pair distance is consistent with the first flight distance of the UAV, where the first node pair distance is specifically the distance between the position node of the UAV and the position of the first node for information collection;

[0031] If the first node pair distance is inconsistent with the first flight distance of the UAV, replace the position of the first node for information collection in the power equipment distribution map containing the power equipment to be information-collected according to the position where the UAV reaches the position of the first node for information collection;

[0032] If the first node pair distance is consistent with the first flight distance of the UAV, there is no need to replace the position of the first node for information collection in the power equipment distribution map containing the power equipment to be information-collected;

[0033] Based on the remaining flight distance of the UAV, perform a consistency analysis on each position node for information collection in the power equipment distribution map containing the power equipment to be information-collected to determine whether the position node for information collection in the power equipment distribution map containing the power equipment to be information-collected needs to be replaced, and obtain the corrected power equipment distribution map.

[0034] Preferably, the integrity analysis module is used to perform data analysis on the real-time information of the power grid identifier to determine the integrity of the power grid identifier, which specifically includes the following steps:

[0035] Obtain the power equipment information at the first node position of information collection;

[0036] Perform location analysis on the power equipment information at the first node position of information collection to determine the installation location of the first power grid identifier;

[0037] Based on the installation location of the first power grid identifier, perform information matching processing on the real-time information of the first power grid identifier to determine whether the first power grid identifier is installed at the installation location of the first power grid identifier;

[0038] If the first power grid identifier is not installed at the installation location of the first power grid identifier, send the first node position of information collection and the missing power grid identifier at the first node position of information collection to the electronic device of the staff, and the staff installs the corresponding power grid identifier according to the first node position of information collection, the power equipment information at the first node position of information collection, and the installation location of the first power grid identifier;

[0039] If the first power grid identifier is installed at the installation location of the first power grid identifier, perform power grid identifier integrity analysis on the real-time information of the remaining power grid identifiers to determine whether the corresponding power grid identifier needs to be reinstalled.

[0040] Preferably, the clarity analysis module is used to perform image analysis on the real-time information of the power grid identifier to determine the clarity of the power grid identifier, which specifically includes the following steps:

[0041] Read the image of the real-time information of the power grid identifier to obtain the real-time image of the first power grid identifier;

[0042] Perform feature analysis on the power equipment information at the first node position of information collection to determine the content recorded by the first power grid identifier;

[0043] Based on the content recorded by the first power grid identifier, perform content comparison on the real-time image of the first power grid identifier to obtain the content clarity of the first power grid identifier;

[0044] Perform judgment processing on the content clarity of the first power grid identifier to determine whether the first power grid identifier needs to be replaced;

[0045] Perform content clarity analysis of the power grid identifier on the real-time information of the remaining power grid identifiers to determine whether the corresponding power grid identifier needs to be replaced.

[0046] Preferably, the judgment processing on the content clarity of the first power grid identifier to determine whether the first power grid identifier needs to be replaced specifically includes the following steps:

[0047] Judge and process the content clarity of the first power grid identifier and set the clarity threshold.

[0048] If the content clarity of the first power grid identifier is greater than or equal to the set clarity threshold, the content of the first power grid identifier can be seen clearly and the first power grid identifier does not need to be replaced.

[0049] If the content clarity of the first power grid identifier is less than the set clarity threshold, the content of the first power grid identifier cannot be seen clearly and the first power grid identifier needs to be replaced. Send the first node position of information collection and the power grid identifier required by the first node position of information collection to the electronic device of the staff. The staff replaces the corresponding power grid identifier according to the first node position of information collection, the power equipment information of the first node position of information collection, and the installation position of the first power grid identifier.

[0050] Preferably, the power grid identifier installation specification module is used to generate the installation rules of the power grid identifier. The steps for the staff to install the power grid identifier according to the installation rules of the power grid identifier are as follows:

[0051] Analyze the types of power equipment in the position nodes of each power equipment in the corrected power equipment distribution map to determine the power equipment type.

[0052] Based on the power equipment type, determine the corresponding installation tools, protection tools, and power grid identifier replacement steps.

[0053] When the staff installs or replaces the power grid identifier, they need to carry installation tools, wear protection tools, and install or replace the power grid identifier according to the power grid identifier replacement steps.

[0054] Furthermore, a method for collecting power grid identifier information based on visual recognition is proposed. The power grid identifier is collected using a power grid identifier information collection system based on visual recognition as described above, including:

[0055] S1. Based on the information analysis terminal, control the data collection module to collect information on the power grid identifier of each power equipment in the power equipment distribution map containing the power equipment to be information collected.

[0056] S2. Based on the information analysis terminal, control the power grid distribution map correction module to correct the position of each power equipment in the power equipment distribution map containing the power equipment to be information collected according to the flight distance of the unmanned aerial vehicle.

[0057] S3. Based on the information analysis terminal, control the integrity analysis module to perform a missing analysis on the power grid identifier in the installation position of each power grid identifier in the real-time information of the power grid identifier to determine whether there is a missing power grid identifier in the installation position of the power grid identifier.

[0058] S4. Based on the information analysis terminal, control the clarity analysis module to analyze the real-time image of the grid identifier in the real-time information of the grid identifier, and determine whether the grid identifier needs to be replaced;

[0059] S5. Based on the information analysis terminal, control the grid identifier installation specification module to perform a safety analysis on the type of power equipment, and determine the installation tools, protective tools, and grid identifier replacement steps.

[0060] Compared with the prior art, the present invention provides a grid identifier information acquisition system based on visual recognition, which has the following beneficial effects:

[0061] First, the present invention determines the information acquisition path of the unmanned aerial vehicle (UAV), ensuring that the UAV can complete the information acquisition of the grid identifier with less energy, reducing the information acquisition cost. Secondly, through the flight distance of the UAV, the distribution map of the power equipment containing the information to be acquired is corrected, enabling the correct positions of the power equipment to be recorded in the drawing, making the subsequent information acquisition and replacement convenient and fast. Then, the integrity analysis and clarity analysis are respectively performed on the real-time information of the grid identifier to determine whether there is a missing grid identifier and whether the content recorded by the grid identifier is blurred. Finally, the corresponding installation tools, protective tools, and grid identifier replacement steps are selected according to the type of power equipment. The above method can not only reduce the work intensity of the staff but also reduce the possibility of the staff being injured. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is a structural block diagram of a grid identifier information acquisition system based on visual recognition proposed by the present invention;

[0063] Figure 2 is a schematic flowchart of steps S1 - S5 in a grid identifier information acquisition method based on visual recognition proposed by the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0064] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations.

[0065] Refer to Figure 1 As shown, a grid identifier information acquisition system based on visual recognition includes:

[0066] An information analysis terminal, which is used to control each module to perform grid identifier information acquisition, drawing correction, integrity analysis, clarity analysis, and generate the installation rules of the grid identifier;

[0067] A data acquisition module, which is used to collect information on grid identifiers, obtain the flight distance of the drone, and the real-time information of the grid identifiers;

[0068] A grid distribution map correction module, which is used to correct the drawing of the power equipment distribution map containing the power equipment to be information-collected, and obtain the corrected power equipment distribution map;

[0069] A integrity analysis module, which is used to perform data analysis on the real-time information of the grid identifiers to determine the integrity of the grid identifiers;

[0070] A clarity analysis module, which is used to perform image analysis on the real-time information of the grid identifiers to determine the clarity of the grid identifiers;

[0071] A grid identifier installation specification module, which is used to generate the installation rules of the grid identifiers, and the staff install the grid identifiers according to the installation rules of the grid identifiers;

[0072] Those skilled in the art can understand that power equipment has certain dangers. Therefore, it is necessary to mark it, and different power equipment may be installed in different areas, resulting in the power equipment being scattered in different locations. Some power equipment is even installed in areas with certain dangers, such as on mountains. If the staff collect information on the grid identifiers of the power equipment, it will increase the work intensity of the staff and may be somewhat dangerous. Therefore, by using a drone to collect information on the grid identifiers of the power equipment, not only can the position of the power equipment in the drawing be corrected, but also the work intensity of the staff can be reduced. In addition, perform integrity analysis and clarity analysis on the real-time information of the collected grid identifiers to determine whether the grid identifiers need to be installed or replaced. If installation or replacement is required, corresponding installation tools, protective tools, and the installation rules of the grid identifiers should be selected according to the type of power equipment. The above method can not only reduce the work intensity of the staff, but also reduce the risk of the staff being injured.

[0073] Refer to Figure 2 As shown in the figure, a method for collecting grid identifier information based on visual recognition uses a system for collecting grid identifier information based on visual recognition as described above to collect information on grid identifiers, including:

[0074] S1. Based on the information analysis terminal, control the data acquisition module to collect information on the grid identifiers of each power equipment in the power equipment distribution map containing the power equipment to be information-collected;

[0075] S2. Based on the information analysis terminal, control the power grid distribution map correction module to correct the position of each power equipment in the power equipment distribution map with information to be collected according to the flight distance of the UAV.

[0076] S3. Based on the information analysis terminal, control the integrity analysis module to perform a missing analysis on the power grid identifiers in the installation positions of each power grid identifier in the real-time information of the power grid identifiers, and determine whether there are missing power grid identifiers in the installation positions of the power grid identifiers.

[0077] S4. Based on the information analysis terminal, control the clarity analysis module to analyze the clarity of the real-time images of the power grid identifiers in the real-time information of the power grid identifiers, and determine whether the power grid identifiers need to be replaced.

[0078] S5. Based on the information analysis terminal, control the power grid identifier installation specification module to perform a safety analysis on the power equipment types, and determine the installation tools, protection tools, and power grid identifier replacement steps.

[0079] In this embodiment, the UAV is used to collect information on the power grid identifiers of each power equipment, and the position of the power equipment in the drawing is corrected according to the flight distance of the UAV, so that when the UAV is used for information collection later, it can be more convenient and fast, and the energy consumption of the UAV can be reduced, and the information collection cost can be reduced. Then, the integrity analysis and clarity analysis are respectively performed on the real-time information of the power grid identifiers collected by the UAV to determine whether there are missing power grid identifiers or whether the content of the power grid identifiers is blurred. Finally, the missing power grid identifiers and blurred power grid identifiers are replaced according to the power grid identifier replacement steps.

[0080] Embodiment 1

[0081] The data collection module is used to collect information on the power grid identifiers, and obtain the flight distance of the UAV and the real-time information of the power grid identifiers, which specifically includes the following steps:

[0082] Import the power equipment distribution map with information to be collected into the UAV.

[0083] Based on the UAV, perform a position analysis on the power equipment distribution map with information to be collected, and determine the information collection end point and information collection path.

[0084] Based on the information collection end point and information collection path, the UAV collects information on the power grid identifiers of the power equipment, and obtains the flight distance of the UAV and the real-time information of the power grid identifiers.

[0085] In this embodiment, there may be a deviation between the installation position of the power equipment in the power equipment distribution map where information needs to be collected and the actual position. Therefore, by recording the flight distance of the drone, it is corrected to make subsequent information collection more convenient and fast, enabling the drone to reach the designated position faster. The real-time information of the grid identifier is obtained by taking an image of the installation position of the grid identifier through the camera of the drone to obtain the real-time image of the grid identifier.

[0086] Embodiment 2

[0087] Based on the drone, perform position analysis on the power equipment distribution map where information needs to be collected, and determining the information collection starting point, information collection end point, and information collection path specifically includes the following steps:

[0088] Obtain the position node of the drone, and the position node of the drone is specifically the current position information of the drone;

[0089] Perform feature extraction processing on the power equipment distribution map where information needs to be collected to obtain the position nodes of all power equipment, and the position nodes of the power equipment are specifically the position information of the power equipment where information needs to be collected;

[0090] Pair the position node of the drone and the position nodes of all power equipment pairwise to obtain at least one set of node pairs;

[0091] Perform path calculation processing on the node pairs to obtain at least one set of node pair distances;

[0092] Based on the minimum value function, screen the node pair distances with the position node of the drone as a feature to obtain the first node position for information collection;

[0093] Based on the minimum value function, screen the remaining node pair distances with the first node position for information collection as a feature to obtain the second node position for information collection. Through multiple path screenings using the minimum value function, determine the information collection end point;

[0094] Draw a curve for the position node of the drone, the first node position for information collection, the second node position for information collection, and the information collection end point to determine the information collection path;

[0095] In this embodiment, the position nodes of all power equipment and the position nodes of the UAV are connected pairwise to obtain node pairs. For example, there are a total of 9 nodes. Taking the position node of the UAV as a reference point, there are 8 node pairs with respect to the position node of the UAV. These 8 node pairs are compared to obtain the shortest node pair distance, that is, the first node position for information collection. After the first node position for information collection is determined, again taking the first node position for information collection as a reference point, the remaining 7 node pairs are compared to obtain the shortest node pair distance, that is, the second node position for information collection. According to the above method, the information collection end point can be determined. Then, by connecting these node positions, the shortest information collection path of the UAV can be obtained. According to the shortest information collection path, the UAV can reduce the energy consumption of information collection, thereby reducing the information collection cost.

[0096] Embodiment 3

[0097] Based on the information collection end point and the information collection path, the UAV collects information on the grid identifiers of power equipment, and obtains the flight distance of the UAV and the real-time information of the grid identifiers. The specific steps are as follows:

[0098] Based on the position node of the UAV, the UAV sails to the first node position for information collection and collects information on the first node position for information collection, obtaining the first flight distance of the UAV and the real-time information of the first grid identifier;

[0099] Based on the first node position for information collection, the UAV sails to the second node position for information collection and collects information on the second node position for information collection, obtaining the second flight distance of the UAV and the real-time information of the second grid identifier;

[0100] Based on the UAV, flight distance information collection is carried out according to the remaining node positions for information collection in the information collection path, and information collection of the grid identifiers of the remaining node positions for information collection is carried out, obtaining the remaining flight distances of the UAV and the real-time information of the remaining grid identifiers;

[0101] In this embodiment, when the UAV reaches each node, it collects information on the grid identifiers installed on the power equipment through a camera, and the distance during the flight of the UAV needs to be recorded. Because there may be a certain error between the installation position of the power equipment in the drawing and the actual position, in order to make it more convenient to use the UAV for information collection later, the position needs to be corrected according to the flight distance of the UAV.

[0102] Embodiment 4

[0103] The grid distribution map correction module is used to correct the drawing of the power equipment distribution map containing the power equipment to be information-collected, and obtain the corrected power equipment distribution map. The specific steps are as follows:

[0104] Perform a consistency check on the first flight distance of the drone and the first node pair distance among the node pair distances to determine whether the first node pair distance is consistent with the first flight distance of the drone. Herein, the first node pair distance is specifically the distance between the position node of the drone and the first node position for information collection.

[0105] If the first node pair distance is inconsistent with the first flight distance of the drone, replace the first node position for information collection in the power equipment distribution map to be information-collected with the position where the drone arrives at the first node position for information collection.

[0106] If the first node pair distance is consistent with the first flight distance of the drone, there is no need to replace the first node position for information collection in the power equipment distribution map to be information-collected.

[0107] Based on the remaining flight distances of the drones, perform a consistency analysis on each node position for information collection in the power equipment distribution map to be information-collected, determine whether the node positions for information collection in the power equipment distribution map to be information-collected need to be replaced, and obtain a corrected power equipment distribution map.

[0108] In this embodiment, when the drone is used for information collection for the first time, since there may be a certain deviation between the installation position of the power equipment and the installation position in the drawing, the drone may need to search within a certain range. When the drone stops searching, that is, when it hovers, it is the position of the power equipment. Replace the node position in the drawing with this position, so that when the drone performs information collection subsequently, it can directly find the power equipment, reduce the search time of the drone, thereby reducing the energy consumption of the drone, and at the same time, it can also reduce the information collection cost.

[0109] Embodiment 5

[0110] The integrity analysis module is used to perform data analysis on the real-time information of the power grid identifier to determine the integrity of the power grid identifier. The specific steps are as follows:

[0111] Obtain the power equipment information of the first node position for information collection.

[0112] Perform a position analysis on the power equipment information of the first node position for information collection to determine the installation position of the first power grid identifier.

[0113] Based on the installation position of the first power grid identifier, perform information matching processing on the real-time information of the first power grid identifier to determine whether the first power grid identifier is installed at the installation position of the first power grid identifier.

[0114] If the first power grid identifier is not installed at the installation position of the first power grid identifier, the first node position of information collection and the power grid identifier missing at the first node position of information collection are sent to the electronic device of the staff, and the staff installs the corresponding power grid identifier according to the first node position of information collection, the power equipment information at the first node position of information collection, and the installation position of the first power grid identifier;

[0115] If the first power grid identifier is installed at the installation position of the first power grid identifier, analyze the integrity of the power grid identifier for the real-time information of the remaining power grid identifiers to determine whether the corresponding power grid identifier needs to be reinstalled;

[0116] In this embodiment, the power grid identifier of the power equipment may be missing. For example, the power identifier in the wild may be corroded for a long time, causing the screws fixing the power grid identifier to break, and then the power grid identifier falls off. And the power grid identifier has a certain warning function. Because the power equipment is somewhat dangerous, if a human touches it by mistake, it may cause certain harm to their body. Therefore, it is necessary to determine whether the power grid identifier is missing.

[0117] Embodiment 6

[0118] The clarity analysis module is used to perform image analysis on the real-time information of the power grid identifier to determine the clarity of the power grid identifier, which specifically includes the following steps:

[0119] Read the image of the real-time information of the power grid identifier to obtain the real-time image of the first power grid identifier;

[0120] Perform feature analysis on the power equipment information at the first node position of information collection to determine the content recorded by the first power grid identifier;

[0121] Based on the content recorded by the first power grid identifier, perform content comparison on the real-time image of the first power grid identifier to obtain the content clarity of the first power grid identifier;

[0122] Perform judgment processing on the content clarity of the first power grid identifier to determine whether the first power grid identifier needs to be replaced;

[0123] Perform content clarity analysis of the power grid identifier on the real-time information of the remaining power grid identifiers to determine whether the corresponding power grid identifier needs to be replaced;

[0124] In this embodiment, as the installation time of the power grid identifier increases, the characters on its surface will be corroded, resulting in the content recorded by it being blurred, making its number and precautions blurred and indistinguishable. When people in the wild encounter power equipment by mistake, they don't know how to detour or how to operate to avoid being hurt. Therefore, it is necessary to judge its clarity to determine whether the power grid identifier needs to be replaced.

[0125] Embodiment 7

[0126] Judge and process the content clarity of the first power grid identifier to determine whether the first power grid identifier needs to be replaced. The specific steps are as follows:

[0127] Judge and process the content clarity of the first power grid identifier and the set clarity threshold;

[0128] If the content clarity of the first power grid identifier is greater than or equal to the set clarity threshold, the content of the first power grid identifier can be seen clearly, and the first power grid identifier does not need to be replaced;

[0129] If the content clarity of the first power grid identifier is less than the set clarity threshold, the content of the first power grid identifier cannot be seen clearly, and the first power grid identifier needs to be replaced. Send the first node position of information collection and the power grid identifier required by the first node position of information collection to the electronic device of the staff. The staff replaces the corresponding power grid identifier according to the first node position of information collection, the power equipment information of the first node position of information collection, and the installation position of the first power grid identifier.

[0130] Embodiment 8

[0131] The power grid identifier installation specification module is used to generate the installation rules of the power grid identifier. The staff installs the power grid identifier according to the installation rules of the power grid identifier. The specific steps are as follows:

[0132] Analyze the types of power equipment in the position nodes of each power equipment in the corrected power equipment distribution map to determine the power equipment types;

[0133] Based on the power equipment types, determine the corresponding installation tools, protection tools, and power grid identifier replacement steps;

[0134] When the staff installs or replaces the power grid identifier, they need to carry the installation tools, wear the protection tools, and install or replace the power grid identifier according to the power grid identifier replacement steps;

[0135] In this embodiment, the power grid identifiers of different types of power equipment may be different, and the required installation tools, protection tools, and power grid identifier replacement steps are also different. To protect the safety of the staff during the replacement or installation of the power grid identifier, it is necessary to determine the required installation tools, protection tools, and power grid identifier replacement steps according to the power equipment types. The staff perform standardized operations according to the above tools and installation steps.

[0136] The foregoing has shown and described the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited by the above embodiments, and what is described in the above embodiments and the specification is only the principle of the present invention. Without departing from the spirit and scope of the present invention, the present invention will have various changes and improvements, and these changes and improvements all fall within the scope of the present invention claimed. The scope of protection required by the present invention is defined by the appended claims and their equivalents.

Claims

1. A power grid identification information acquisition system based on visual recognition, characterized in that Including: An information analysis terminal, which is used to control each module to collect power grid identification information, correct drawings, analyze integrity, analyze clarity, and generate installation rules for power grid identification; A data collection module, which is used to collect information on power grid identification, and obtain the flight distance of the drone and the real-time information of the power grid identification; A power grid distribution map correction module, which is used to correct the drawing of the power equipment distribution map containing information to be collected, and obtain the corrected power equipment distribution map; An integrity analysis module, which is used to perform data analysis on the real-time information of the power grid identification to determine the integrity of the power grid identification; A clarity analysis module, which is used to perform image analysis on the real-time information of the power grid identification to determine the clarity of the power grid identification; A power grid identification installation specification module, which is used to generate installation rules for power grid identification, and the staff installs the power grid identification according to the installation rules of the power grid identification.

2. The grid identification information acquisition system based on visual recognition according to claim 1, wherein The data collection module is used to collect information on power grid identification, and the specific steps for obtaining the flight distance of the drone and the real-time information of the power grid identification are as follows: Import the power equipment distribution map containing information to be collected into the drone; Based on the drone, perform position analysis on the power equipment distribution map containing information to be collected to determine the information collection end point and the information collection path; Based on the information collection end point and the information collection path, the drone collects information on the power grid identification of the power equipment, and obtains the flight distance of the drone and the real-time information of the power grid identification.

3. The grid identification information acquisition system based on visual recognition according to claim 2, characterized in that, The specific steps for performing position analysis on the power equipment distribution map containing information to be collected based on the drone to determine the information collection start point, information collection end point, and information collection path are as follows: Obtain the position node of the drone, and the position node of the drone is specifically the current position information of the drone; Perform feature extraction processing on the power equipment distribution map containing information to be collected to obtain the position nodes of all power equipment, and the position nodes of the power equipment are specifically the position information of the power equipment to be collected; Pair the position node of the drone and the position nodes of all power equipment pairwise to obtain at least one pair of nodes; Perform path calculation processing on the pair of nodes to obtain at least one pair of node distances; Based on the minimum value function, perform screening processing on the pair of node distances with the position node of the drone as a feature to obtain the first node position of information collection; Based on the minimum value function, perform screening processing on the remaining pair of node distances with the first node position of information collection as a feature to obtain the second node position of information collection, and determine the information collection end point through multiple path screenings using the minimum value function; Draw curves for the position node of the drone, the first node position of information collection, the second node position of information collection, and the information collection end point to determine the information collection path.

4. The grid identification information acquisition system based on visual recognition according to claim 2, characterized in that, The specific steps for the drone to collect information on the power grid identification of the power equipment based on the information collection end point and the information collection path, and obtain the flight distance of the drone and the real-time information of the power grid identification are as follows: Based on the position node of the drone, the drone sails towards the first node position for information collection and collects information at the first node position for information collection, obtaining the first flight distance of the drone and the real-time information of the first power grid identifier; Based on the first node position for information collection, the drone sails towards the second node position for information collection and collects information at the second node position for information collection, obtaining the second flight distance of the drone and the real-time information of the second power grid identifier; Based on the drone, flight distance information collection is carried out according to the remaining node positions for information collection in the information collection path, and information collection of the power grid identifiers of the remaining node positions for information collection is carried out, obtaining the remaining flight distances of the drone and the real-time information of the remaining power grid identifiers.

5. A grid identification information acquisition system based on visual recognition according to claim 1, characterized in that, The power grid distribution map correction module is used to correct the drawing of the power equipment distribution map containing the power equipment to be information-collected, and obtaining the corrected power equipment distribution map specifically includes the following steps: Perform consistency judgment on the first flight distance of the drone and the first node pair distance in the node pair distance, and determine whether the first node pair distance is consistent with the first flight distance of the drone, where the first node pair distance is specifically the distance between the position node of the drone and the first node position for information collection; If the first node pair distance is inconsistent with the first flight distance of the drone, replace the first node position for information collection in the power equipment distribution map containing the power equipment to be information-collected according to the position where the drone arrives at the first node position for information collection; If the first node pair distance is consistent with the first flight distance of the drone, there is no need to replace the first node position for information collection in the power equipment distribution map containing the power equipment to be information-collected; Based on the remaining flight distances of the drone, perform consistency analysis on each node position for information collection in the power equipment distribution map containing the power equipment to be information-collected, determine whether the node positions for information collection in the power equipment distribution map containing the power equipment to be information-collected need to be replaced, and obtain the corrected power equipment distribution map.

6. The grid identification information acquisition system based on visual recognition according to claim 1, characterized in that, The integrity analysis module is used to perform data analysis on the real-time information of the power grid identifier to determine the integrity of the power grid identifier, and specifically includes the following steps: Obtain the power equipment information of the first node position for information collection; Perform position analysis on the power equipment information of the first node position for information collection to determine the installation position of the first power grid identifier; Based on the installation position of the first power grid identifier, perform information matching processing on the real-time information of the first power grid identifier to determine whether the first power grid identifier is installed at the installation position of the first power grid identifier; If the first power grid identifier is not installed at the installation position of the first power grid identifier, send the first node position for information collection and the lack of power grid identifier at the first node position for information collection to the electronic device of the staff, and the staff installs the corresponding power grid identifier according to the first node position for information collection, the power equipment information of the first node position for information collection, and the installation position of the first power grid identifier; If the first power grid identifier is installed at the installation position of the first power grid identifier, perform power grid identifier integrity analysis on the real-time information of the remaining power grid identifiers to determine whether it is necessary to reinstall the corresponding power grid identifier.

7. The grid identification information acquisition system based on visual recognition according to claim 1, characterized in that The clarity analysis module is used to perform image analysis on the real-time information of the power grid identification, and the specific steps for determining the clarity of the power grid identification are as follows: Read the image of the real-time information of the power grid identification to obtain the real-time image of the first power grid identification; Perform feature analysis on the power equipment information at the first node position of the information collection to determine the content recorded by the first power grid identification; Based on the content recorded by the first power grid identification, perform content comparison on the real-time image of the first power grid identification to obtain the content clarity of the first power grid identification; Perform judgment processing on the content clarity of the first power grid identification to determine whether the first power grid identification needs to be replaced; Perform content clarity analysis of the power grid identification on the real-time information of the remaining power grid identifications to determine whether the corresponding power grid identifications need to be replaced.

8. The grid identification information acquisition system based on visual recognition according to claim 7, characterized in that The specific steps for performing judgment processing on the content clarity of the first power grid identification to determine whether the first power grid identification needs to be replaced are as follows: Perform judgment processing on the content clarity of the first power grid identification and the set clarity threshold; If the content clarity of the first power grid identification is greater than or equal to the set clarity threshold, the content of the first power grid identification can be seen clearly, and the first power grid identification does not need to be replaced; If the content clarity of the first power grid identification is less than the set clarity threshold, the content of the first power grid identification cannot be seen clearly, the first power grid identification needs to be replaced, and the first node position of the information collection and the power grid identification required at the first node position of the information collection are sent to the electronic device of the staff. The staff replaces the corresponding power grid identification according to the first node position of the information collection, the power equipment information at the first node position of the information collection, and the installation position of the first power grid identification.

9. The grid identification information acquisition system based on visual recognition according to claim 1, wherein The power grid identification installation specification module is used to generate the installation rules of the power grid identification. The specific steps for the staff to install the power grid identification according to the installation rules of the power grid identification are as follows: Perform type analysis on the power equipment in each position node of the power equipment in the corrected power equipment distribution map to determine the power equipment type; Based on the power equipment type, determine the corresponding installation tools, protection tools, and power grid identification replacement steps; When the staff installs or replaces the power grid identification, they need to carry the installation tools, wear the protection tools, and install or replace the power grid identification according to the power grid identification replacement steps.

10. A method for collecting power grid identification information based on visual recognition, characterized in that, Using an information collection system for power grid identification based on visual recognition as described in any one of claims 1-9 to collect information on power grid identification, including: S1. Based on the information analysis terminal, control the data collection module to collect information on the power grid identification of each power equipment in the power equipment distribution map containing the power equipment to be information-collected; S2. Based on the information analysis terminal, control the power grid distribution map correction module to correct the position of each power equipment in the power equipment distribution map containing the power equipment to be information-collected according to the flight distance of the unmanned aerial vehicle; S3. Based on the information analysis terminal, control the integrity analysis module to perform missing analysis on the power grid identification at the installation position of each power grid identification in the real-time information of the power grid identification to determine whether there is a missing power grid identification at the installation position of the power grid identification; S4. Based on the information analysis terminal, control the clarity analysis module to analyze the real-time image of the grid identifier in the real-time information of the grid identifier, and determine whether it is necessary to replace the grid identifier; S5. Based on the information analysis terminal, control the grid identifier installation specification module to conduct a safety analysis on the type of power equipment, and determine the installation tools, protective tools, and the steps for replacing the grid identifier.

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