Photovoltaic station equipment operation and maintenance path generation method, system and equipment and medium

Abstract

The invention provides a photovoltaic station equipment operation and maintenance path generation method and system, equipment and a medium, and belongs to the technical field of equipment navigation.The photovoltaic station equipment operation and maintenance path generation method comprises the steps that according to equipment position information of a photovoltaic station, a topological graph including the shortest path between all equipment of the photovoltaic station is created; then, according to path navigation request information from the current position to the position of target equipment acquired from a client, sequentially selecting a feasible path and a real-time factor value corresponding to a factor reference type for considering optimal path selection from the topological graph, so as to obtain an optimal real-time planned path; and finally, the optimal real-time planning path and related information are fed back to the client. According to the method, the navigation request of the client can be quickly responded, real-time path planning can be provided, various actual dynamic factors are considered, dynamic optimization of the path is realized, emergency situations on the selected path are effectively avoided, the requirements of quick positioning and maintenance can be met, and the equipment operation and maintenance efficiency of the photovoltaic field station is effectively improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of equipment navigation, and specifically relates to a method, system, equipment and medium for generating an operation and maintenance path for equipment in a photovoltaic station. Background Art

[0002] Photovoltaic stations are power stations that convert solar radiation into electrical energy through solar cell arrays. They generally include transformers, inverters, photovoltaic arrays, and related auxiliary facilities. They usually occupy a large area and have many devices. When maintenance personnel need to perform maintenance on the equipment in the photovoltaic station, they need to use navigation methods to locate the target due to the large site.

[0003] At present, when searching for target equipment for operation and maintenance in photovoltaic stations, the traditional method used is to perform addressing and navigation based on the map of the photovoltaic station. Since the map of the photovoltaic station only updates the location of the equipment and the update is not timely, it is unable to consider other dynamic factors affecting the road conditions. Therefore, there are frequent emergencies and it is difficult to meet the needs of rapid positioning and maintenance, which affects the efficiency of equipment operation and maintenance. Summary of the invention

[0004] Based on the above existing status of equipment operation and maintenance addressing in photovoltaic stations, the present invention provides a method, system, device and medium for generating operation and maintenance paths for photovoltaic station equipment, so as to overcome at least one technical problem existing in the prior art.

[0005] To achieve the above object, the present invention provides a method for generating a photovoltaic station equipment operation and maintenance path, comprising:

[0006] According to the equipment location information of the photovoltaic station, the paths between the equipment of the photovoltaic station are preprocessed using the shortest path algorithm in graph theory to generate a topological map of the photovoltaic station; wherein the topological map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path;

[0007] According to the path navigation request information from the client, all feasible paths from the current location to the location of the target device are obtained from the topology map;

[0008] Based on a preset factor reference type for optimal path selection, obtaining a real-time factor value corresponding to the factor reference type of the feasible path, and selecting an optimal real-time planning path from the feasible path based on the real-time factor value;

[0009] Based on the topological graph, according to the optimal real-time planned path, the path length of the optimal real-time planned path, the time of passing through the optimal real-time planned path, and the key nodes in the optimal real-time planned path are obtained as relevant information of the optimal real-time planned path;

[0010] The optimal real-time planned path and the related information are used as optimal path navigation information and fed back to the client.

[0011] In order to solve the above problems, the present invention also provides a photovoltaic station equipment operation and maintenance path generation system, the system comprising:

[0012] A topology map generation module is used to pre-process the paths between the devices of the photovoltaic station according to the device location information of the photovoltaic station using the shortest path algorithm in graph theory to generate a topology map of the photovoltaic station; wherein the topology map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path;

[0013] A path selection module, used for obtaining all feasible paths from the current location to the location of the target device from the topology map according to the path navigation request information from the current location to the location of the target device obtained from the client;

[0014] A real-time planning path acquisition module, configured to acquire a real-time factor value corresponding to the factor reference type of the feasible path based on a preset factor reference type for selecting an optimal path, and select an optimal real-time planning path from the feasible path based on the real-time factor value;

[0015] A related information acquisition module, used to acquire, based on the topological graph and according to the optimal real-time planned path, the path length of the optimal real-time planned path, the time of passing through the optimal real-time planned path and the key nodes in the optimal real-time planned path as related information of the optimal real-time planned path;

[0016] A feedback module is used to feed back the optimal real-time planned path and the related information to the client as optimal path navigation information.

[0017] In order to solve the above problem, the present invention further provides an electronic device, the electronic device comprising:

[0018] at least one processor; and,

[0019] a memory communicatively connected to the at least one processor; wherein,

[0020] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps in the photovoltaic field station equipment operation and maintenance path generation method as described above.

[0021] In order to solve the above problems, the present invention also provides a computer-readable storage medium, in which at least one instruction is stored. When the at least one instruction is executed by a processor in an electronic device, the above-mentioned photovoltaic station equipment operation and maintenance path generation method is implemented.

[0022] The photovoltaic station equipment operation and maintenance path generation method, system, device and medium provided by the present invention create a topological map including the shortest paths between various devices of the photovoltaic station according to the device location information of the photovoltaic station; then select feasible paths and real-time factor values ​​corresponding to the reference type of factors for selecting the optimal path from the topological map in turn according to the path navigation request information from the current position to the position of the target device obtained from the client, so as to obtain the optimal real-time planning path, and finally feed back the optimal real-time planning path and related information to the client. It can quickly respond to the navigation request of the client, provide real-time path planning, and consider a variety of actual dynamic factors to achieve dynamic optimization of the path, effectively avoid emergencies on the selected path, meet the needs of rapid positioning and maintenance, and effectively improve the equipment operation and maintenance efficiency of the photovoltaic station. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0024] Figure 1 A schematic diagram of a process for generating a photovoltaic station equipment operation and maintenance path according to an embodiment of the present invention;

[0025] Figure 2 A schematic diagram of a module of a photovoltaic station equipment operation and maintenance path generation system provided by an embodiment of the present invention;

[0026] Figure 3 A schematic diagram of the internal structure of an electronic device for implementing a method for generating an operation and maintenance path for photovoltaic station equipment provided by an embodiment of the present invention;

[0027] Figure 4 An interface diagram of a client provided by an embodiment of the present invention

[0028] Figure 5A schematic diagram of path navigation display of a client provided by an embodiment of the present invention.

[0029] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0030] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0031] Based on the problems existing in the above-mentioned prior art, the present invention mainly provides a method, system, equipment and medium for generating operation and maintenance paths for photovoltaic station equipment. Its main purpose is to solve the problem in the prior art that when searching for target equipment for operation and maintenance in a photovoltaic station, the traditional method adopted is to perform addressing and navigation based on the map of the photovoltaic station. Since the map of the photovoltaic station only updates the location of the equipment and the update is not timely enough, it is impossible to consider other dynamic factors affecting the road conditions. Therefore, there are frequent emergencies and it is difficult to meet the needs of rapid positioning and maintenance, thereby affecting the efficiency of equipment operation and maintenance.

[0032] Figure 1 A schematic flow chart of a method for generating a photovoltaic field equipment operation and maintenance path according to an embodiment of the present invention. The method may be executed by a system, which may be implemented by software and / or hardware.

[0033] Figure 1 The method for generating the operation and maintenance path of photovoltaic station equipment is described in an overall manner. Figure 1 As shown, in this embodiment, the method for generating an operation and maintenance path for photovoltaic station equipment includes steps S110 to S150.

[0034] Step S110: Based on the equipment location information of the photovoltaic station, the shortest path algorithm in graph theory is used to pre-process the paths between the various devices in the photovoltaic station to generate a topological map of the photovoltaic station; wherein the topological map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path.

[0035] Specifically, the location information of the devices in the photovoltaic station is obtained one by one, and then the shortest path algorithm in graph theory is used to pre-process the path between each two devices for the shortest planning. Therefore, in the topological diagram of the photovoltaic station, the path between the two devices is the shortest path. The devices in the photovoltaic station include but are not limited to photovoltaic panels, inverters, transformers, and cables.

[0036] As an optional embodiment of the present invention, before preprocessing the paths between the devices of the photovoltaic station using the shortest path algorithm in graph theory according to the device location information of the photovoltaic station to generate a topological map of the photovoltaic station, the method further includes:

[0037] By installing positioning devices on the equipment in the photovoltaic station or scanning with drones, the location information of each device in the photovoltaic station can be obtained, and a unique identification is created for each device;

[0038] Establish a correspondence between the location information of the equipment and the unique identifier, and store it in the equipment geographic information database of the preset photovoltaic site.

[0039] Specifically, the site of a photovoltaic station is relatively large, and the creation of a topological map requires comprehensive acquisition of information such as the equipment and the unique identification corresponding to the equipment. In the preferred embodiment of the present invention, in order to facilitate the creation of subsequent topological maps, the location information of each device in the photovoltaic station can be obtained by installing a positioning device on the equipment of the photovoltaic station or by scanning with a drone, and the location information can be stored together in the equipment geographic information database of the preset photovoltaic station after establishing a corresponding relationship with the unique identification on the equipment. The equipment location and unique identification in the equipment geographic information database are synchronously updated according to the equipment update information obtained in real time. For example, if a certain device changes position or a new device is added, the topological map can be dynamically updated to make the path planning between the devices on the topological map more comprehensive. Among them, the positioning device is preferably but not limited to a position sensor or a GPS locator.

[0040] As an optional embodiment of the present invention, based on the equipment location information of the photovoltaic station, the shortest path algorithm in graph theory is used to pre-process the paths between the equipment of the photovoltaic station to generate a topological map of the photovoltaic station, including:

[0041] Based on the equipment location information of the photovoltaic station, the shortest path between every two devices is obtained through the Freud algorithm or the Dijkstra algorithm;

[0042] And based on the shortest path between every two devices, generate the primary topology map of the photovoltaic station;

[0043] The unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path are marked in the primary topology map to obtain the topology map of the photovoltaic station.

[0044] Specifically, the Floyd algorithm and the Dijkstra algorithm are both types of shortest path algorithms in graph theory in the prior art. The device is used as a node, and the shortest path between two devices is obtained by any of the above algorithms. Since the above two algorithms are both prior art, the present invention will not repeat them. RFID, QR code, bar code or other identification technology is used as the unique identification of the device, preferably combined with GPS and base station signals to enhance the positioning accuracy of indoor or shielded areas. The unique identification of each device, the length of each path and the time required for different modes of travel to pass through each path are marked in the primary topology map, so as to obtain the topology map of the photovoltaic field station.

[0045] Step S120: According to the path navigation request information from the current location to the location of the target device obtained from the client, all feasible paths from the current location to the location of the target device are obtained from the topology map.

[0046] Specifically, the client may be a mobile terminal, such as a smart phone, a tablet, etc. Figure 4 and Figure 5 As shown, a path navigation request information from the current location to the location of the target device is sent to the processor through the human-computer interaction interface, and then the processor obtains all feasible paths from the current location to the location of the target device from the topology map. Multiple interaction methods such as voice commands, touch screens or mobile applications can be supported to complete the client's request.

[0047] As an optional embodiment of the present invention, according to the path navigation request information from the current location to the location of the target device obtained from the client, obtaining all feasible paths from the current location to the location of the target device from the topology map includes:

[0048] Locate the current position and the position of the target device in the topology map according to the path navigation request information from the client to the position of the target device;

[0049] According to the positioning of the current position and the position of the target device in the topology map, all preliminary paths from the current position to the position of the target device are obtained from the topology map;

[0050] Obtain real-time obstacle information on the primary path through the obstacle detection device;

[0051] And based on real-time obstacle information, a feasible path is selected from the preliminary paths.

[0052] Specifically, when the processor obtains the path navigation request information from the client from the current position to the position of the target device, the current position and the position of the target device are first located in the topology map, and then all the preliminary paths from the current position to the position of the target device are obtained from the topology map. Since there may be dynamic changes such as real-time obstacles or road congestion in the preliminary path, it is necessary to obtain real-time obstacle information on the preliminary path through the obstacle detection device, and select the preliminary path without real-time obstacles as a feasible path. Integrate a real-time obstacle avoidance mechanism to avoid dynamic obstacles such as staff, other vehicles or wild animals, thereby reducing emergencies on the navigation path.

[0053] As an optional embodiment of the present invention, the obstacle detection device is any one of a laser radar, an ultrasonic sensor, and a camera device.

[0054] Specifically, it should be noted that the obstacle detection device in the present invention is preferably but not limited to any one of a laser radar, an ultrasonic sensor, and a camera device, and other devices capable of detecting obstacles on the road may also be used.

[0055] Step S130: based on the factor reference type selected by the preset optimal path, obtain the real-time factor value corresponding to the factor reference type of the feasible path, and select the optimal real-time planning path from the feasible path based on the real-time factor value.

[0056] Specifically, the factor reference type for selecting the preset optimal path can be determined according to actual conditions or experience, and the real-time factor value can be converted according to the reference table of the preset factor reference type. Taking road congestion as an example, when there are three or two cars running in parallel on a section of the acquired nemesis path, at this time, the corresponding factor value can be obtained by looking up the reference from the preset factor reference type, and then the optimal real-time planning path can be selected from the feasible paths based on the sum of the real-time factor values.

[0057] As an optional embodiment of the present invention, based on the factor reference type of the preset optimal path selection, obtaining the real-time factor value corresponding to the factor reference type of the feasible path, and selecting the optimal real-time planning path from the feasible path based on the real-time factor value includes:

[0058] Based on the factor reference type selected by the preset optimal path, obtain the real-time factor value corresponding to the factor reference type of the feasible path;

[0059] Retrieve the preset optimization path algorithm, and input the real-time factor value into the formula of the preset optimization path algorithm to obtain the path optimization reference value; wherein,

[0060] The formula of the preset optimization path algorithm is: M = aA + bB + cC ... + dD; where,

[0061] M is the path optimization reference value, a, b, c, d are the weight values ​​of the factor reference type, and A, B, C, D are the real-time factor values ​​corresponding to the factor reference type;

[0062] The feasible path corresponding to the maximum path optimization reference value is taken as the optimal real-time planning path.

[0063] Specifically, the selection of the optimal path may include multiple considerations. Therefore, a preset optimization path algorithm is used to calculate the path optimization reference value using the corresponding real-time factor value and the corresponding weight value. Then, the feasible path corresponding to the maximum path optimization reference value is used as the optimal real-time planning path to achieve dynamic adjustment and priority sorting.

[0064] As an optional embodiment of the present invention, the factor reference types include path length, terrain restriction and path congestion.

[0065] Specifically, the reference factors include, but are not limited to, path length, terrain restrictions, and path congestion, and may also include the operation and maintenance status of the target equipment.

[0066] Step S140: Based on the topology graph and the optimal real-time planned path, the path length of the optimal real-time planned path, the time to pass through the optimal real-time planned path, and the key nodes in the optimal real-time planned path are obtained as relevant information of the optimal real-time planned path.

[0067] Specifically, since the topology map is marked with the unique identification of each device, the length of each path and the time required for different modes of travel to pass through each path, the path length of the optimal real-time planning path, the time to pass the optimal real-time planning path and the key nodes in the optimal real-time planning path can be calculated based on the topology map as relevant information of the optimal real-time planning path.

[0068] Step S150: Feedback the optimal real-time planned path and related information to the client as optimal path navigation information.

[0069] Specifically, the optimal real-time planned path and related information can be fed back to the client's interactive interface in the form of voice, graphics, or text as optimal path navigation information.

[0070] like Figure 2 As shown, the present invention provides a photovoltaic field station equipment operation and maintenance path generation system 200, which can be installed in an electronic device. According to the functions implemented, the photovoltaic field station equipment operation and maintenance path generation system 200 may include: a topology map generation module 210, a path selection module 220, a real-time planning path acquisition module 230, a related information acquisition module 240 and a feedback module 250. The unit of the present invention can also be called a module, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0071] In this embodiment, the functions of each module / unit are as follows:

[0072] The topology map generation module 210 is used to pre-process the paths between the devices of the photovoltaic station according to the device location information of the photovoltaic station using the shortest path algorithm in graph theory to generate a topology map of the photovoltaic station; wherein the topology map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path;

[0073] A path selection module 220, configured to obtain all feasible paths from the current location to the location of the target device from the topology map according to the path navigation request information from the client to the location of the target device;

[0074] A real-time planning path acquisition module 230, configured to acquire a real-time factor value corresponding to the factor reference type of the feasible path based on a preset factor reference type for selecting an optimal path, and select an optimal real-time planning path from the feasible path based on the real-time factor value;

[0075] The relevant information acquisition module 240 is used to acquire the path length of the optimal real-time planned path, the time of passing through the optimal real-time planned path and the key nodes in the optimal real-time planned path based on the topological map and the optimal real-time planned path as the relevant information of the optimal real-time planned path;

[0076] The feedback module 250 is used to feed back the optimal real-time planned path and the related information as optimal path navigation information to the client.

[0077] The photovoltaic station equipment operation and maintenance path generation system 200 of the present invention creates a topological map including the shortest paths between various devices of the photovoltaic station according to the device location information of the photovoltaic station; then selects feasible paths and real-time factor values ​​corresponding to the reference type of factors for selecting the optimal path from the topological map in turn according to the path navigation request information from the current position to the position of the target device obtained from the client, thereby obtaining the optimal real-time planning path, and finally feeds back the optimal real-time planning path and related information to the client. It can quickly respond to the navigation request of the client, provide real-time path planning, and consider a variety of actual dynamic factors to achieve dynamic optimization of the path, effectively avoid emergencies on the selected path, meet the needs of rapid positioning and maintenance, and effectively improve the equipment operation and maintenance efficiency of the photovoltaic station.

[0078] like Figure 3 As shown, the present invention provides an electronic device 3 for a method for generating an operation and maintenance path for photovoltaic station equipment.

[0079] The electronic device 3 may include a processor 30, a memory 31 and a bus, and may also include a computer program stored in the memory 31 and executable on the processor 30, such as a photovoltaic field station equipment operation and maintenance path generation program 32. The memory 31 may also include both an internal storage unit of the photovoltaic field station equipment operation and maintenance path generation system and an external storage device. The memory 31 may be used not only to store the code installed in the application software and various data, such as the photovoltaic field station equipment operation and maintenance path generation program, but also to temporarily store the data that has been output or is to be output.

[0080] Among them, the memory 31 includes at least one type of readable storage medium, and the readable storage medium includes flash memory, mobile hard disk, multimedia card, card-type memory (for example: SD or DX memory, etc.), magnetic memory, disk, optical disk, etc. The memory 31 may be an internal storage unit of the electronic device 3 in some embodiments, such as a mobile hard disk of the electronic device 3. The memory 31 may also be an external storage device of the electronic device 3 in other embodiments, such as a plug-in mobile hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (SecureDigital, SD) card, a flash card (Flash Card), etc. equipped on the electronic device 3. Further, the memory 31 may also include both an internal storage unit of the electronic device 3 and an external storage device. The memory 31 can not only be used to store application software and various types of data installed in the electronic device 3, such as a photovoltaic field station equipment operation and maintenance path generation method code, but also can be used to temporarily store data that has been output or is to be output.

[0081] The processor 30 may be composed of an integrated circuit in some embodiments, for example, a single packaged integrated circuit, or a plurality of integrated circuits with the same or different functions, including one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and combinations of various control chips, etc. The processor 30 is the control core (Control Unit) of the electronic device, and uses various interfaces and lines to connect the various components of the entire electronic device, and executes or executes the programs or modules stored in the memory 31 (such as the photovoltaic field station equipment operation and maintenance path generation program, etc.), and calls the data stored in the memory 31 to execute various functions of the electronic device 3 and process data.

[0082] The bus may be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus may be divided into an address bus, a data bus, a control bus, etc. The bus is configured to realize connection and communication between the memory 31 and at least one processor 30, etc.

[0083] Figure 3 Only an electronic device with components is shown, and those skilled in the art will understand that Figure 3The structure shown does not constitute a limitation on the electronic device 3, and may include fewer or more components than shown in the figure, or combine certain components, or arrange the components differently.

[0084] For example, although not shown, the electronic device 3 may also include a power source (such as a battery) for supplying power to each component. Preferably, the power source may be logically connected to the at least one processor 30 through a power management system, so that the power management system can realize functions such as charging management, discharging management, and power consumption management. The power source may also include any components such as one or more DC or AC power sources, recharging systems, power failure detection circuits, power converters or inverters, and power status indicators. The electronic device 3 may also include a variety of sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be repeated here.

[0085] Furthermore, the electronic device 3 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a WI-FI interface, a Bluetooth interface, etc.), which is generally used to establish a communication connection between the electronic device 3 and other electronic devices.

[0086] Optionally, the electronic device 3 may further include a user interface, which may be a display, an input unit (such as a keyboard), or a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, and an OLED (Organic Light-Emitting Diode) touch device. The display may also be appropriately referred to as a display screen or a display unit, which is used to display information processed in the electronic device 3 and to display a visual user interface.

[0087] It should be understood that the embodiments are for illustration purposes only and the scope of the invention application is not limited by this structure.

[0088] The photovoltaic station equipment operation and maintenance path generation program 32 stored in the memory 31 of the electronic device 3 is a combination of multiple instructions. When running in the processor 30, it can achieve:

[0089] Step S110: pre-process the paths between the devices in the photovoltaic station using the shortest path algorithm in graph theory according to the device location information of the photovoltaic station, and generate a topological map of the photovoltaic station; wherein the topological map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path;

[0090] Step S120: acquiring all feasible paths from the current location to the location of the target device from the topology map according to the path navigation request information from the current location to the location of the target device obtained from the client;

[0091] Step S130: based on the factor reference type selected by the preset optimal path, obtaining the real-time factor value corresponding to the factor reference type of the feasible path, and selecting the optimal real-time planning path from the feasible path based on the real-time factor value;

[0092] Step S140: Based on the topological graph and the optimal real-time planned path, the path length of the optimal real-time planned path, the time to pass through the optimal real-time planned path, and the key nodes in the optimal real-time planned path are obtained as relevant information of the optimal real-time planned path;

[0093] Step S150: Feedback the optimal real-time planned path and related information to the client as optimal path navigation information.

[0094] Specifically, the specific implementation method of the processor 30 for the above instructions can refer to Figure 1 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0095] Furthermore, if the module / unit integrated in the electronic device 3 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. The computer-readable medium may include: any entity or system capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (ROM).

[0096] An embodiment of the present invention further provides a computer-readable storage medium, which may be non-volatile or volatile, and stores a computer program, which, when executed by a processor, implements:

[0097] Step S110: pre-process the paths between the devices in the photovoltaic station using the shortest path algorithm in graph theory according to the device location information of the photovoltaic station, and generate a topological map of the photovoltaic station; wherein the topological map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path;

[0098] Step S120: acquiring all feasible paths from the current location to the location of the target device from the topology map according to the path navigation request information from the current location to the location of the target device obtained from the client;

[0099] Step S130: based on the factor reference type selected by the preset optimal path, obtaining the real-time factor value corresponding to the factor reference type of the feasible path, and selecting the optimal real-time planning path from the feasible path based on the real-time factor value;

[0100] Step S140: Based on the topological graph and the optimal real-time planned path, the path length of the optimal real-time planned path, the time to pass through the optimal real-time planned path, and the key nodes in the optimal real-time planned path are obtained as relevant information of the optimal real-time planned path;

[0101] Step S150: Feedback the optimal real-time planned path and related information to the client as optimal path navigation information.

[0102] Specifically, the specific implementation method when the computer program is executed by the processor can refer to the description of the relevant steps in the photovoltaic field station equipment operation and maintenance path generation method in the embodiment, and will not be repeated here.

[0103] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, systems and methods can be implemented in other ways. For example, the system embodiments described above are only schematic, for example, the division of the modules is only a logical function division, and there may be other division methods in actual implementation.

[0104] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0105] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, 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 hardware plus software functional modules.

[0106] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0107] Therefore, no matter from which point of view, the embodiments should be regarded as illustrative and non-restrictive, and the scope of the present invention is limited by the appended claims rather than the above description, so it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims are included in the present invention. Any attached figure mark in the claims should not be regarded as limiting the claims involved.

[0108] In addition, it is clear that the word "comprising" does not exclude other units or steps, and the singular does not exclude the plural. Multiple units or systems stated in a system claim can also be implemented by one unit or system through software or hardware. Secondary words are used to indicate names, but not to indicate any particular order.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A method for generating an operation and maintenance path for photovoltaic station equipment, characterized in that: The steps include: According to the equipment location information of the photovoltaic station, the paths between the equipment of the photovoltaic station are preprocessed using the shortest path algorithm in graph theory to generate a topological map of the photovoltaic station; wherein the topological map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path; According to the path navigation request information from the client, all feasible paths from the current location to the location of the target device are obtained from the topology map; Based on a preset factor reference type for optimal path selection, obtaining a real-time factor value corresponding to the factor reference type of the feasible path, and selecting an optimal real-time planning path from the feasible path based on the real-time factor value; Based on the topological graph, according to the optimal real-time planned path, the path length of the optimal real-time planned path, the time of passing through the optimal real-time planned path, and the key nodes in the optimal real-time planned path are obtained as relevant information of the optimal real-time planned path; The optimal real-time planned path and the related information are used as optimal path navigation information and fed back to the client.

2. The method for generating a photovoltaic station equipment operation and maintenance path according to claim 1, characterized in that: Before preprocessing the paths between the devices of the photovoltaic station using the shortest path algorithm in graph theory according to the device location information of the photovoltaic station to generate a topological map of the photovoltaic station, the method further includes: The location information of each device of the photovoltaic station is obtained by installing a positioning device on the equipment of the photovoltaic station or by drone scanning, and a unique identifier is created for each device; A corresponding relationship between the location information of the device and the unique identifier is established and stored in a device geographic information database of a preset photovoltaic station.

3. The method for generating a photovoltaic station equipment operation and maintenance path according to claim 1, characterized in that: The method of preprocessing the paths between the devices of the photovoltaic station using the shortest path algorithm in graph theory according to the device location information of the photovoltaic station to generate a topological diagram of the photovoltaic station includes: Based on the device location information of the photovoltaic station, the shortest path between every two devices is obtained by using the Freud algorithm or the Dijkstra algorithm; And based on the shortest path between every two devices, generate the primary topology map of the photovoltaic station; The primary topology map is marked with a unique identifier of each device, as well as the length of each path and the time required for different travel modes to pass through each path, to obtain a topology map of the photovoltaic station.

4. The method for generating a photovoltaic station equipment operation and maintenance path according to claim 1, characterized in that: The step of acquiring all feasible paths from the current location to the location of the target device from the topology map according to the path navigation request information from the current location to the location of the target device obtained from the client includes: According to the path navigation request information from the client to the location of the target device, locating the current location and the location of the target device in the topology map; According to the positioning of the current position and the position of the target device in the topological map, obtaining all preliminary paths from the current position to the position of the target device from the topological map; Obtaining real-time obstacle information on the primary selected path through an obstacle detection device; And according to the real-time obstacle information, a feasible path is selected from the preliminary selected paths.

5. The method for generating a photovoltaic station equipment operation and maintenance path according to claim 4, characterized in that: The obstacle detection device is any one of a laser radar, an ultrasonic sensor, and a camera device.

6. The method for generating a photovoltaic station equipment operation and maintenance path according to claim 1, characterized in that: The step of selecting a factor reference type based on a preset optimal path, obtaining a real-time factor value corresponding to the factor reference type of the feasible path, and selecting an optimal real-time planning path from the feasible path based on the real-time factor value includes: Based on the factor reference type selected by the preset optimal path, obtaining the real-time factor value of the feasible path corresponding to the factor reference type; Retrieving a preset optimization path algorithm, and inputting the real-time factor value into the formula of the preset optimization path algorithm, thereby obtaining a path optimization reference value; wherein, The formula of the preset optimization path algorithm is: M=aA+bB+cC...+dD; wherein, M is the path optimization reference value, a, b, c, d are the weight values ​​of the factor reference type, and A, B, C, D are the real-time factor values ​​corresponding to the factor reference type; The feasible path corresponding to the maximum path optimization reference value is used as the optimal real-time planning path.

7. The method for generating a photovoltaic station equipment operation and maintenance path according to claim 1, characterized in that: The factor reference types include path length, terrain restrictions and path congestion.

8. A photovoltaic station equipment operation and maintenance path generation system, characterized in that: The system comprises: A topology map generation module is used to pre-process the paths between the devices of the photovoltaic station according to the device location information of the photovoltaic station using the shortest path algorithm in graph theory to generate a topology map of the photovoltaic station; wherein the topology map is marked with the unique identification of each device, the length of each path, and the time required for different travel modes to pass through each path; A path selection module, used for obtaining all feasible paths from the current location to the location of the target device from the topology map according to the path navigation request information from the current location to the location of the target device obtained from the client; A real-time planning path acquisition module, configured to acquire a real-time factor value corresponding to the factor reference type of the feasible path based on a preset factor reference type for selecting an optimal path, and select an optimal real-time planning path from the feasible path based on the real-time factor value; A related information acquisition module, used to acquire, based on the topological graph and according to the optimal real-time planned path, the path length of the optimal real-time planned path, the time of passing through the optimal real-time planned path and the key nodes in the optimal real-time planned path as related information of the optimal real-time planned path; A feedback module is used to feed back the optimal real-time planned path and the related information to the client as optimal path navigation information.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the steps in the photovoltaic field station equipment operation and maintenance path generation method as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing at least one instruction, characterized in that: When the at least one instruction is executed by a processor in the electronic device, the method for generating an operation and maintenance path for photovoltaic station equipment as described in any one of claims 1 to 7 is implemented.

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