Configuration modeling method, system and device based on power grid equipment characteristics and medium

Abstract

The application provides a configuration modeling method, system and device based on power grid equipment characteristics and a medium, the method comprises the following steps: acquiring appearance basic data, layout data, static parameters and dynamic parameters of power transmission and transformation facilities, and constructing a digital twin configuration unit model of the power transmission and transformation facilities; acquiring information of power distribution network transmission lines and transformer areas, and constructing a power transmission corridor digital twin model by using an equipment model resource library; acquiring meteorological data, and constructing a real-time environment scene; acquiring behavior information of a work site of personnel by using a video recognition technology, fusing the environment scene and the behavior information by using a simulation engine, and constructing a digital twin model of the personnel and the environment. The application models the power system business demand by using the digital twin technology, realizes intuitive presentation of internal structures and components of equipment, and can support application in business fields such as equipment operation and inspection, power grid operation, marketing service and planning and construction.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power grid equipment modeling, and more particularly to a configuration modeling method, system and device based on power grid equipment characteristics and a medium. BACKGROUND

[0002] Improving the digital level of the power grid is an inevitable requirement for promoting the deep integration of digital technology and energy technology and building a new power system; it is an important means for improving the observability, measurability, adjustability and controllability of the power grid and building a digital smart grid; and it is an important support for realizing the coordinated interaction of source, grid, load and storage and upgrading to an energy internet enterprise.

[0003] Digital twinning technology has advantages such as panoramic visualization, intelligent diagnosis, deep analysis and efficient decision-making, and integrates technologies such as sensing, modeling simulation, the Internet of Things, cloud-edge collaboration and big data. It has become an important technical means in the fields of manufacturing, medical treatment, transportation and smart cities, and is gradually improving and penetrating into various industries. In the future, digital twinning will fully empower the digital transformation of the power grid, combined with new-generation technologies such as artificial intelligence and 5G, to realize application in various links of power generation, transmission, transformation, distribution and use, thereby supporting the digital transformation of the power grid. Therefore, power supply enterprises have begun to take digital transformation as the direction, promote the landing of strategic goals, and actively explore the implementation path of digital twinning technology in supporting the development of digital, networked and intelligent demonstration areas.

[0004] At present, the digital twinning technology of the power system is still in its early stages of development, and the following problems need to be solved urgently:

[0005] There is a lack of modeling methods for power grid business needs. At present, digital twinning technology is widely used in construction, manufacturing, medical treatment, transportation and smart cities, and the requirement for model precision is not high and only the appearance and size of the object need to be displayed. However, daily maintenance of power equipment often needs to be refined and in-depth to the internal component level, and only modeling of the appearance cannot meet the work requirements. Therefore, there is currently a lack of modeling methods for power system business needs, which cannot intuitively present the internal structure and components of the equipment, further supporting the application of equipment operation and inspection, power grid operation, marketing services and planning and construction in business fields. There is more research on primary equipment in substations, and less research on secondary equipment in substations and distribution network equipment. There is more research on geometric modeling of the overall appearance of the equipment, and less research on configuration modeling of the equipment and physical, behavior and rule modeling. SUMMARY

[0006] In view of the above problems, the present application aims to provide a configuration modeling method, system, device and medium based on the characteristics of power grid equipment, which establishes the application method and specification of digital twinning in the field of power systems, supports the development of digital twinning power grids, accelerates the construction of digital twinning power grids, and realizes the digital transformation of power grids.

[0007] To achieve the above-mentioned purpose, the present invention is implemented through the following technical solutions: A configuration-based modeling method based on the characteristics of power grid equipment, comprising the following steps:

[0008] S1: Obtain the basic appearance data, layout data, static parameters and dynamic parameters of the power transmission and transformation facilities, and build a digital twin configuration unit model of the power transmission and transformation facilities;

[0009] S2: Obtain information on distribution network transmission lines and substations, and use the equipment model resource library to build a digital twin model of the transmission corridor;

[0010] S3: Obtain meteorological data and build real-time environmental scenarios. Use video recognition technology to obtain behavioral information of personnel at the work site, integrate environmental scenarios and behavioral information through a simulation engine, and build a digital twin model of people and the environment.

[0011] Further, step S1 includes:

[0012] Use laser point cloud equipment to scan the physical environment and primary and secondary equipment within the substation to obtain a substation site cloud model;

[0013] According to the substation cloud model, obtain the equipment location layout data, appearance structure data and texture material data in the substation and generate a point cloud file;

[0014] Combined with the preset coordinate system, the point cloud file is imported into the file processing tool and output as a point cloud file in LAS format;

[0015] Through refined modeling tools, referring to equipment drawings, point cloud files and image data of power transmission and transformation facilities, the primary equipment facilities and secondary equipment in the substation are disassembled and modeled at the component level to generate a digital twin configuration unit model of the power transmission and transformation facilities.

[0016] Further, step S2 includes:

[0017] Use drones to perform point cloud scanning of distribution network transmission lines to obtain transmission line information. Model towers, conductors, insulators, and jumpers based on the structural drawings of the line equipment and save them in the equipment model resource library. Use oblique photography and structured light scanning to obtain information on typical distribution lines and transmission equipment. Based on the structural drawings of the transmission equipment, model typical distribution lines, substation terminals, circuit breakers, FTUs, and DTUs and save them in the equipment model resource library.

[0018] By combining the equipment model resource library, structural drawings of line equipment and transmission equipment, multi-source modeling data are fused and superimposed to construct a digital twin model of the transmission corridor.

[0019] Further, step S3 includes:

[0020] Through video analysis technology combined with simulation engine algorithms, meteorological data is obtained using third-party interfaces;

[0021] Combined with data from micro-weather stations, real-time environmental scenarios are constructed;

[0022] Combined with the skeleton tracking algorithm of video recognition, the behavioral action information of personnel at the work site is obtained. By anchoring the key points on the joints of the basic model of the character, the personnel actions are synchronously modeled to build a digital twin model of people and the environment.

[0023] Furthermore, the construction of a real-time environment scene includes:

[0024] A simulation engine is used to realistically restore the natural environment, and the physical space data obtained by preset basic sensors and camera acquisition units are integrated with the environmental model to build a real-time environmental scene.

[0025] Furthermore, the preset coordinate systems include: CSGS2000 geodetic Gaussian coordinate system and 84 longitude and latitude coordinate system.

[0026] Furthermore, the laser point cloud device performs a scanning task according to a preset number of points and acquisition time; the scanning methods adopted by the laser point cloud device include: color point cloud scanning and black and white point cloud scanning.

[0027] Accordingly, the present invention also discloses a configuration-based modeling system based on the characteristics of power grid equipment, including: a power transmission and transformation facility model construction module configured to obtain basic appearance data, layout data, static parameters and dynamic parameters of the power transmission and transformation facility, and construct a digital twin configuration unit model of the power transmission and transformation facility;

[0028] The transmission corridor model building module is configured to obtain information about the distribution network transmission lines and substations, and use the equipment model resource library to build a digital twin model of the transmission corridor;

[0029] The human and environment model construction module is configured to obtain meteorological data and build real-time environmental scenes; it uses video recognition technology to obtain behavioral information of personnel at the work site, and integrates environmental scenes and behavioral information through the simulation engine to build a digital twin model of humans and the environment.

[0030] Accordingly, the present invention discloses a configuration-based modeling device based on the characteristics of power grid equipment, comprising:

[0031] A memory for storing a configuration modeling program based on the characteristics of power grid equipment;

[0032] A processor is configured to implement the steps of the configuration-based modeling method based on power grid device characteristics as described in any one of the above items when executing the configuration-based modeling program based on power grid device characteristics.

[0033] Accordingly, the present invention discloses a readable storage medium, on which a configuration modeling program based on the characteristics of power grid equipment is stored. When the configuration modeling program based on the characteristics of power grid equipment is executed by a processor, the steps of the configuration modeling method based on the characteristics of power grid equipment as described in any one of the above items are implemented.

[0034] Compared with the prior art, the present invention has the following beneficial effects:

[0035] 1. This invention promotes the construction of digital power grids. Through this invention, it is possible to establish application methods and specifications for digital twins in the power system field, support the development of digital twin power grids, and continuously unify and improve relevant standards and guiding frameworks, thereby optimizing the digital twin power grid structure, enhancing application efficiency, accelerating the construction of digital twin power grids, and realizing the digital transformation of power grids.

[0036] 2. This invention uses digital twin technology to model the business needs of the power system, realizing the intuitive presentation of the internal structure and components of the equipment. It can support applications in business areas such as equipment operation and maintenance, power grid operation, marketing services, and planning and construction. It has important value in supporting the integrated energy system, clarifying the transmission of energy value, strengthening the application of clean energy, and leading the market's virtuous cycle. It is conducive to the low-carbon upgrade of energy production and helps the power industry achieve the goal of "carbon peak and carbon neutrality."

[0037] It can be seen that compared with the prior art, the present invention has outstanding substantial features and significant progress, and the beneficial effects of its implementation are also obvious. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are merely embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0039] Figure 1 is a method flow chart of a specific embodiment of the present invention;

[0040] Figure 2 It is a system structure diagram of a specific implementation method of the present invention.

[0041] In the figure, 1. Power transmission and transformation facility model construction module; 2. Power transmission and transformation facility model construction module; 3. Human and environment model construction module. DETAILED DESCRIPTION

[0042] In order to enable those skilled in the art to better understand the present invention, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0043] Example 1:

[0044] like Figure 1 As shown, this embodiment provides a configuration-based modeling method based on power grid device characteristics, including the following steps:

[0045] S1: Obtain the basic appearance data, layout data, static parameters and dynamic parameters of the power transmission and transformation facilities, and build a digital twin configuration unit model of the power transmission and transformation facilities.

[0046] Specifically, the physical environment and primary and secondary equipment in the substation are first scanned using laser point cloud equipment to obtain a substation cloud model. Then, based on the substation cloud model, the equipment location layout data, appearance structure data, and mapping material data in the substation are obtained, and a point cloud file is generated.

[0047] At this point, combined with the preset coordinate system, the point cloud file is imported into the file processing tool and the point cloud file in LAS format is output; finally, through the refined modeling tool, with reference to the equipment drawings, point cloud files and image data of the power transmission and transformation facilities, the primary equipment facilities and secondary equipment in the substation are disassembled and modeled at the component level to generate a digital twin configuration unit model of the power transmission and transformation facilities.

[0048] It can be seen that step S1, through the sorting and research of power transmission and transformation equipment and facilities, combined with the equipment operation mechanism and combination logic, splits and abstracts the equipment according to certain rules, and constructs a model configuration resource with full adaptability and comprehensiveness from the perspective of the appearance, action, logic, and mechanism integration of the equipment and facilities.

[0049] As an example, the specific process of this step is as follows:

[0050] Laser point cloud equipment is used to conduct detailed scanning of the physical environment and primary and secondary equipment within the substation to obtain a complete, accurate, and clear substation site cloud model. This is used to obtain the actual and detailed equipment location layout, appearance structure, and texture material reference data within the substation, which is used to better guide the development of detailed modeling. During the scanning process, the number of scanning points and the acquisition time should be controlled to minimize the operation time while ensuring accuracy, thereby improving overall implementation efficiency.

[0051] Determine the output of two coordinate systems: the CSGS2000 geodetic Gaussian coordinate system and the 84-degree longitude and latitude coordinate system, to support subsequent corresponding business development. Finally, import the scanned point cloud file into the tool for comprehensive processing and finally output it into LAS format files for later import into 3D tools for secondary development. At the same time, according to actual business needs, choose color point cloud scanning or black and white point cloud scanning;

[0052] Through refined modeling tools, referring to equipment drawings, point cloud files, and image data obtained from on-site collection, component-level disassembly modeling is performed on some primary equipment facilities and secondary equipment in the substation. The disassembly logic complies with the actual composition logic, action logic, and energized state logic of the equipment, thereby achieving in-depth support for the business. According to the component disassembly logic, combined with the corresponding data structure, business support for subsequent parameterized calls is realized.

[0053] In addition, it should be noted that in step S1, it is also necessary to study the configuration modeling of typical circuits of measurement, control, protection, and communication secondary equipment based on the modeling of primary equipment such as transmission lines, transformers, switches, knife switches, GIS, and switchgear. Combined with drawings and electrical signal paths, it supports the expansion of relay protection and information communication related businesses, realizes the full coverage of substation digital twins, and forms differentiated requirements for the construction level and accuracy of various equipment models that meet different actual production needs, and provides targeted modeling methods for different modeling requirements of different objects.

[0054] S2: Obtain information on distribution network transmission lines and substations, and use the equipment model resource library to build a digital twin model of the transmission corridor.

[0055] Specifically, drones are used to perform point cloud scanning of distribution network transmission lines to obtain transmission line information. Pole towers, conductors, insulators, and jumpers are then modeled based on the structural drawings of the line equipment and stored in the equipment model library. Furthermore, oblique photography and structured light scanning are used to obtain information about typical distribution lines and transmission equipment. Based on the structural drawings of the transmission equipment, models of typical distribution lines, substation terminals, circuit breakers, FTUs, and DTUs are then modeled and stored in the equipment model library. Finally, the multi-source modeling data is fused and overlaid, combining the equipment model library, the structural drawings of the line equipment, and the transmission equipment to construct a digital twin model of the transmission corridor.

[0056] It can be seen that step S2 uses rapid modeling technology, combined with drawing information and equipment model resource library, to try to study the fusion and superposition of multi-source modeling data, so as to quickly and accurately build a real-time on-site transmission and distribution corridor model scene.

[0057] As an example, step S2 includes:

[0058] Select the transmission and distribution lines and adopt drone point cloud scanning to build models, or select a typical line scene and manually model the towers, conductors, insulators, and jumpers according to the structural drawings to clearly express the electrical connection relationship of the lines. Through oblique photography, structured light scanning and structural drawings, model typical distribution lines, substation terminals, circuit breakers, FTUs, and DTU equipment to achieve full coverage of the transmission, transformation, and distribution processes of the regional power grid.

[0059] In addition, this method can establish relevant modeling standards for different equipment models according to different business needs, establish refined equipment models according to the modeling standards, and study the real-time display of grid structure adjustment, line load distribution, and analysis and deduction of phase-to-phase short-circuit faults on the virtual power grid built with the model.

[0060] S3: Obtain meteorological data and build real-time environmental scenarios. Use video recognition technology to obtain behavioral information of personnel at the work site, integrate environmental scenarios and behavioral information through a simulation engine, and build a digital twin model of people and the environment.

[0061] Specifically, video analysis technology combined with simulation engine algorithms leverages meteorological data obtained from third-party interfaces and combines this with data from micro-meteorological stations to construct real-time environmental scenarios. Then, a skeletal tracking algorithm based on video recognition is used to capture the actions of personnel at the worksite. By anchoring key points to the joints of a basic character model, the personnel's movements are synchronously modeled to create a digital twin of the person and environment.

[0062] It can be seen that this step uses video analysis technology combined with simulation engine algorithms, utilizes meteorological data obtained from third-party interfaces, and combines data from micro-meteorological stations to build a real-time, dynamic environmental scene. Combined with the skeleton tracking algorithm of video recognition, the behavioral actions of people on the scene are obtained. By anchoring key points on the joints of the character's basic model, synchronous modeling of the actions of people on the scene is achieved.

[0063] As an example, the specific process of this step is as follows:

[0064] Through oblique photography, structured light scanning and on-site inspections, based on sophisticated manual modeling technology, real-scene modeling of the environment surrounding power equipment is carried out. The engine is used to truly restore the natural environment, and the physical space data obtained by basic sensors and camera acquisition units are integrated with the model. This includes various visible and hidden spatial information, such as natural environmental factors such as light, temperature, humidity, wind direction, wind force, lightning, and rain, social environmental factors such as foreign objects, small animals, and outsiders, as well as other factors that affect the operation of power grid equipment. Real-time monitoring of equipment and the surrounding environment is carried out. Combined with camera video image records and access control system records, a personnel behavior model is established in the digital twin system and restored visually. Real-time supervision is carried out for violations such as improper dress, inadequate protection, and accidentally entering live intervals.

[0065] In this step, based on sophisticated manual modeling technology, the engine is used to realistically restore the power environment and micro-meteorological environment around the equipment; combined with camera video images and access control system records, a human behavior model is established in the digital twin system and automatic recognition of human behavior is achieved, which can realize the interaction between virtual people and virtual power grid facilities.

[0066] Example 2:

[0067] Based on Example 1, Figure 2 As shown, the present invention also discloses a configuration-based modeling system based on the characteristics of power grid equipment, including: a power transmission and transformation facility model building module 1, a power transmission corridor model building module 2 and a human and environment model building module 3.

[0068] The power transmission and transformation facility model construction module 1 is configured to obtain the basic appearance data, layout data, static parameters and dynamic parameters of the power transmission and transformation facilities, and build a digital twin configuration unit model of the power transmission and transformation facilities.

[0069] The transmission corridor model construction module 2 is configured to obtain information about the distribution network transmission lines and substations, and use the equipment model resource library to build a digital twin model of the transmission corridor.

[0070] The human and environment model construction module 3 is configured to obtain meteorological data and build a real-time environmental scene; use video recognition technology to obtain the behavioral information of personnel at the work site, and use the simulation engine to integrate the environmental scene and behavioral information to build a digital twin model of human and environment.

[0071] The specific implementation of the configuration-based modeling system based on the characteristics of power grid equipment in this embodiment is basically the same as the specific implementation of the configuration-based modeling method based on the characteristics of power grid equipment described above, and will not be repeated here.

[0072] Example 3:

[0073] The embodiment discloses a configuration modeling device based on power grid equipment features, comprising a processor and a memory; wherein the processor implements the steps of the configuration modeling method based on power grid equipment features as described in any of the above when executing the configuration modeling program based on power grid equipment features saved in the memory.

[0074] Further, the configuration modeling device based on power grid equipment features in the embodiment can further comprise:

[0075] An input interface is used to acquire the configuration modeling program based on power grid equipment features imported from the outside world and save the acquired configuration modeling program based on power grid equipment features into the memory, and can also be used to acquire various instructions and parameters transmitted by the terminal device from the outside world and transmit them to the processor so that the processor can use the above-mentioned various instructions and parameters to carry out corresponding processing. In the embodiment, the input interface can specifically include but is not limited to a USB interface, a serial interface, a voice input interface, a fingerprint input interface, a hard disk reading interface, etc.

[0076] An output interface is used to output various data generated by the processor to the terminal device connected thereto, so that other terminal devices connected to the output interface can acquire various data generated by the processor. In the embodiment, the output interface can specifically include but is not limited to a USB interface, a serial interface, etc.

[0077] A communication unit is used to establish a remote communication connection between the configuration modeling device based on power grid equipment features and an external server, so that the configuration modeling device based on power grid equipment features can mount a mirror file into the external server. In the embodiment, the communication unit can specifically include but is not limited to a remote communication unit based on wireless communication technology or wired communication technology.

[0078] A keyboard is used to acquire various parameter data or instructions input by a user through real-time keystroke.

[0079] A display is used to display the relevant information of the configuration modeling process based on power grid equipment features in real time.

[0080] A mouse can be used to assist the user in inputting data and simplify the operation of the user.

[0081] Embodiment four:

[0082] The embodiments also disclose a readable storage medium, which includes random access memory (RAM), internal memory, read only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, register, hard disk, removable hard disk, CD-ROM or any other form of storage medium known in the technical field. The readable storage medium stores the grid equipment feature-based configuration modeling program, which, when executed by the processor, implements the steps of the grid equipment feature-based configuration modeling method according to any one of the above embodiments.

[0083] In summary, the application supports the development of digital twin power grids by establishing the application method and specification of digital twin in the field of power systems, which can accelerate the construction of digital twin power grids and realize the digital transformation of power grids.

[0084] The embodiments in the specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts of each embodiment can be referred to each other. For the method disclosed by the embodiments, the description is relatively simple because it corresponds to the system disclosed by the embodiments. The relevant parts can be referred to the method part.

[0085] The skilled person can further realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be realized by electronic hardware, computer software or a combination of both. In order to clearly illustrate the interchangeability of hardware and software, the components and steps of the examples have been described in general terms in the above description. Whether the functions are realized in hardware or software depends on the specific application and design constraints of the technical solution. The skilled person can use different methods to realize the described functions for each specific application, but such implementation should not be considered beyond the scope of the application.

[0086] In several embodiments provided by the application, it should be understood that the disclosed system, system and method can be implemented in other ways. For example, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division, and there can be another division in actual implementation. For example, a plurality of units or components can be combined or integrated into another system, or some features can be ignored or not executed. In addition, the coupling or direct coupling or communication connection between the units shown or discussed can be indirect coupling or communication connection through some interface, and can be electrical, mechanical or other forms.

[0087] The units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, i.e. may be located in one place, or may be distributed on multiple network units. Part or all of the units can be selected to achieve the purpose of the embodiment scheme according to actual needs.

[0088] In addition, each functional module in various embodiments of the present application can be integrated in one processing unit, or each module can be physically present separately, or two or more modules can be integrated in one unit.

[0089] Similarly, each processing unit in various embodiments of the present application can be integrated in one functional module, or each processing unit can be physically present separately, or two or more processing units can be integrated in one functional module.

[0090] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein can be implemented directly by hardware, a software module executed by a processor, or a combination of the two. The software module can be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0091] Finally, it should be noted that in this paper, relationship terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between the entities or operations. Moreover, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or equipment including a series of elements not only includes those elements, but also includes other elements not explicitly listed or inherent to such process, method, article or equipment. Without more limitations, the element defined by the statement "including a" does not exclude the presence of other identical elements in the process, method, article or equipment including the element.

[0092] The above describes in detail the configuration modeling method, system, device and readable storage medium based on power grid equipment characteristics provided by the present application. The principles and implementation modes of the present application are described by applying specific examples in this paper, and the above description of the embodiments is only used to help understand the method of the present application and its core idea. It should be pointed out that for ordinary skilled persons in the art, without departing from the principles of the present application, some improvements and modifications can be made to the present application, and these improvements and modifications also fall within the protection scope of the claims of the present application.

Claims

1. A configuration-based modeling method based on power grid equipment characteristics, characterized in that: The steps include: S1: Obtain the basic appearance data, layout data, static parameters and dynamic parameters of the power transmission and transformation facilities, and build a digital twin configuration unit model of the power transmission and transformation facilities; S2: Obtain information on distribution network transmission lines and substations, and use the equipment model resource library to build a digital twin model of the transmission corridor; S3: Acquire meteorological data and build real-time environmental scenarios. Leverage video recognition technology to obtain behavioral information about personnel at their work sites. Use a simulation engine to integrate environmental scenarios and behavioral information to build a digital twin model of the human and environment. The step S1 comprises: Use laser point cloud equipment to scan the physical environment and primary and secondary equipment within the substation to obtain a substation site cloud model; According to the substation cloud model, obtain the equipment location layout data, appearance structure data and texture material data in the substation and generate a point cloud file; Combined with the preset coordinate system, the point cloud file is imported into the file processing tool and output as a point cloud file in LAS format; Through refined modeling tools, referring to equipment drawings, point cloud files and image data of power transmission and transformation facilities, the primary equipment facilities and secondary equipment in the substation are disassembled and modeled at the component level to generate a digital twin configuration unit model of the power transmission and transformation facilities.

2. The configuration-based modeling method based on power grid equipment characteristics according to claim 1 is characterized in that: The step S2 comprises: Use drones to perform point cloud scanning of distribution network transmission lines to obtain transmission line information. Model towers, conductors, insulators, and jumpers based on the structural drawings of the line equipment and save the models in the equipment model resource library. Oblique photography and structured light scanning are used to obtain information about typical distribution lines and transmission equipment. Based on the structural drawings of the transmission equipment, model distribution lines, substation terminals, circuit breakers, FTUs, and DTUs are built and stored in the equipment model resource library. By combining the equipment model resource library, structural drawings of line equipment and transmission equipment, multi-source modeling data are fused and superimposed to construct a digital twin model of the transmission corridor.

3. The configuration-based modeling method based on power grid equipment characteristics according to claim 1 is characterized in that: The step S3 comprises: Through video analysis technology combined with simulation engine algorithms, meteorological data is obtained using third-party interfaces; Combined with data from micro-weather stations, real-time environmental scenarios are constructed; Combined with the skeleton tracking algorithm of video recognition, the behavioral action information of personnel at the work site is obtained. By anchoring the key points on the joints of the basic model of the character, the personnel actions are synchronously modeled to build a digital twin model of people and the environment.

4. The configuration-based modeling method based on power grid equipment characteristics according to claim 3 is characterized in that: The real-time environment scene construction includes: A simulation engine is used to realistically restore the natural environment, and the physical space data obtained by preset basic sensors and camera acquisition units are integrated with the environmental model to build a real-time environmental scene.

5. The configuration-based modeling method based on power grid equipment characteristics according to claim 1 is characterized in that: The preset coordinate systems include: the CSGS2000 geodetic Gaussian coordinate system and the 84 longitude and latitude coordinate system.

6. The configuration-based modeling method based on power grid equipment characteristics according to claim 1 is characterized in that: The laser point cloud device performs scanning tasks according to a preset number of points and acquisition time; the scanning methods adopted by the laser point cloud device include: color point cloud scanning and black and white point cloud scanning.

7. A configuration-based modeling system based on power grid equipment characteristics, characterized in that: include: A power transmission and transformation facility model construction module is configured to obtain basic appearance data, layout data, static parameters, and dynamic parameters of the power transmission and transformation facility, and to construct a digital twin configuration unit model of the power transmission and transformation facility; The transmission corridor model building module is configured to obtain information about the distribution network transmission lines and substations, and use the equipment model resource library to build a digital twin model of the transmission corridor; The human-environment model construction module is configured to obtain meteorological data and build real-time environmental scenarios. It uses video recognition technology to obtain behavioral information of personnel at the work site, and integrates environmental scenarios and behavioral information through a simulation engine to build a digital twin model of humans and the environment. The power transmission and transformation facility model building module includes: using laser point cloud equipment to scan the physical environment and primary and secondary equipment within the substation to obtain a substation site cloud model; According to the substation cloud model, obtain the equipment location layout data, appearance structure data and texture material data in the substation and generate a point cloud file; Combined with the preset coordinate system, the point cloud file is imported into the file processing tool and output as a point cloud file in LAS format; Through refined modeling tools, referring to equipment drawings, point cloud files and image data of power transmission and transformation facilities, the primary equipment facilities and secondary equipment in the substation are disassembled and modeled at the component level to generate a digital twin configuration unit model of the power transmission and transformation facilities.

8. A configuration modeling device based on power grid equipment characteristics, characterized in that: include: A memory for storing a configuration modeling program based on the characteristics of power grid equipment; A processor is configured to implement the steps of the configuration-based modeling method based on power grid device characteristics as described in any one of claims 1 to 6 when executing the configuration-based modeling program based on power grid device characteristics.

9. A readable storage medium, characterized in that: The readable storage medium stores a configuration-based modeling program based on the characteristics of power grid equipment. When the configuration-based modeling program based on the characteristics of power grid equipment is executed by a processor, the steps of the configuration-based modeling method based on the characteristics of power grid equipment as described in any one of claims 1 to 6 are implemented.

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