A 5G power infrastructure co-construction and sharing support method and system for power transmission and distribution

Abstract

The present invention discloses a method and system for co-construction and sharing of power infrastructure in 5G to support power transmission and distribution, including: using a unified resource modeling module to model and associate resources on the operator side and the power side; the power resource management module provides a full-view list of resources for co-construction and sharing of the entire power grid to power grid management personnel based on the model and resource library provided by the unified resource modeling module; based on the full-view list of resources, the external enterprise demand management module provides information and demand query and registration to external enterprises through an open interface. The present invention optimizes the addressing process, accurately matches demand, increases the speed of co-construction and sharing, improves efficiency, and effectively promotes the matching of 5G and power demand; provides a 5G-based real-time backhaul method for the transmission mode of drones; based on the matching of operator signal quality and power resources, flexibly carries out site planning according to the needs of specific power consumption services, and provides a specific business optimization method based on 5G.

Description

Technical Field

[0001] The present invention relates to the technical field of 5G and power distribution networks, and in particular to a method and system for co-constructing and sharing 5G power infrastructure to support power transmission and distribution. Background Art

[0002] The difficulties in matching the co-construction and sharing needs of power grid companies and operators, as well as site selection, are significant. Compared to 4G networks, 5G base stations have higher power consumption and energy consumption, significantly increasing construction and maintenance costs. Furthermore, 5G has higher frequencies, which requires denser site locations. Furthermore, 5G's high bandwidth places significant demands on the transmission network, and site selection must consider the availability of optical cable at the selected sites. This complicates the selection of new sites. Furthermore, when co-constructing and sharing with power grid companies, due to the strict safety and security measures in power substations and other power facilities involved in co-construction and sharing, insufficient communication often leads to difficulties in on-site construction.

[0003] Drone monitoring of transmission lines is difficult and expensive due to traffic backhaul access difficulties. Currently, some transmission lines are located in suburban areas, where wireless signal quality is poor and coverage is weak. Power grid companies are using drones for real-time video monitoring of transmission lines to replace dangerous high-altitude line inspections. However, when inspecting some suburban transmission lines, drones can experience weak or even no signal, resulting in blurry and distorted video, significantly reducing inspection effectiveness.

[0004] Traditional wireless communications have high latency and poor reliability, making it difficult to guarantee differential protection services for distribution networks. Currently, differential protection for distribution networks uses 4G networks to transmit data. However, the latency of 4G networks cannot meet the requirements of differential protection. Furthermore, due to the influence of channel quality, the reliability of 4G systems is poor. Therefore, using 4G transmission services without optical fiber is risky.

[0005] The unstable power of distributed photovoltaic power generation leads to fluctuations in the grid voltage when power generation is connected to the grid, affecting electricity consumption: Photovoltaic power generation is greatly affected by the environment, and the power generation power is extremely unstable throughout the day. Grid-connected distributed photovoltaic power generation will cause unstable grid voltage, increase the difficulty of grid load forecasting, reduce the voltage and frequency stability of the grid, and have an adverse impact on electricity consumption for enterprises and residents. Summary of the Invention

[0006] The purpose of this section is to summarize some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the abstract and title of this application to avoid obscuring the purpose of this section, the abstract and the title of the invention, and such simplifications or omissions should not be used to limit the scope of the present invention.

[0007] In view of the above existing problems, the present invention is proposed.

[0008] Therefore, the technical problems solved by the present invention are: it is difficult to match the co-construction and sharing needs of power grid companies and operators, and it is difficult to select sites; it is difficult to access the backhaul of drone monitoring traffic on transmission lines and the charges are high; traditional wireless communications have high latency and poor reliability, making it difficult to guarantee the differential protection service of the distribution network; the unstable power of distributed photovoltaic power generation leads to fluctuations in the grid voltage when power generation is connected to the grid, affecting electricity consumption.

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: a unified resource modeling module is used to model and associate resources on the operator side and the power side, and a basic model library and resource library are provided to the power resource management module; the power resource management module provides the power grid management personnel with a full view list of resources for co-construction and sharing in the entire power grid based on the model and resource library provided by the unified resource modeling module; based on the full view list of resources, the external enterprise demand management module provides information, demand query and registration to external enterprises through an open interface.

[0010] As an optimal solution for the method of jointly building and sharing the 5G power infrastructure to support power transmission and distribution described in the present invention, modeling the resources on the operator side and the power side includes: the operator side modeling different types of base stations and transmission equipment includes: the power, location, total power consumption, power supply form, and expected coverage range of the base station, and the location, quantity, specifications, and power consumption of the transmission equipment; the power side modeling of substations, distribution facilities, optical cables, and pipeline corridor resources includes: the size, specifications, geographical location, feeder lines, power supply radius, and power supply form of the electrical facilities, the length, specifications, and AZ ends of the optical cables, and the cross-sectional area and length of the pipeline corridor.

[0011] As a preferred solution of the 5G power infrastructure co-construction and sharing support power transmission and distribution method described in the present invention, the association method includes, based on the grid enterprise-operator cooperation case that has already carried out co-construction and sharing cooperation, associating the devices of both parties according to a scenario object, each operator's equipment will have corresponding power supply equipment, and actual power calculation, the actual power calculation formula is:

[0012] P=UI

[0013] Among them, P represents actual power, U represents actual voltage, and I represents actual current;

[0014] If the optical cables and pipe corridors used by the operator's equipment are resources on the power side, they will also be associated.

[0015] As an optimal solution for the 5G power infrastructure co-construction and sharing method to support power transmission and distribution described in the present invention, modeling the resources on the operator side and the power side also includes modeling the resource data using a three-dimensional modeling strategy and forming a visual view display.

[0016] As an optimal solution for the 5G power infrastructure co-construction and sharing support method for power transmission and distribution described in the present invention, the three-dimensional modeling strategy includes filtering out data that meets the rules based on data screening rules; spatially synthesizing the data to construct a three-dimensional grid model of the data; using a data alignment strategy to establish spatial correlation relationships between the data in the three-dimensional grid model; using a texture mapping strategy to automatically map the data after the spatial correlation relationship is established to a fine three-dimensional grid model, giving the grid model visual texture information, and realizing three-dimensional display of the data.

[0017] As a preferred solution of the method for co-building and sharing 5G power infrastructure to support power transmission and distribution described in the present invention, the data screening rule includes measuring the correlation between data according to the Pearson correlation, and the calculation formula is:

[0018] ρ(X, Y)=(COV(X, Y)) / (σ X σ Y )=(E[(X-μ X )(Y-μ Y )]) / (σ X σ Y )

[0019] Among them, X and Y represent different data variables, σ X σ Y represents the variance of the data variable, E[(X-μ X )(Y-μ Y ) represents the covariance of data variables X and Y, μ X 、μ Y Represents the mathematical expectation of the data variable; if ρ X,Y If it is greater than the preset value, it means that there is a correlation between the two data, which means that the data meets the filtering rules.

[0020] As an optimal solution for the 5G power infrastructure co-construction and sharing supporting power transmission and distribution method described in the present invention, the external enterprise demand management module matches the resource full view list according to the external enterprise demand, and its matching rules include matching the equipment power consumption related indicators on the operator side and the power supply indicators on the power side. Only if the operator side equipment is within the preset power supply range of the power side equipment and the total power consumption does not exceed the preset power supply equipment margin, the power supply form is matched and it is recommended as a cooperation point for co-construction and sharing. Otherwise, the solution is judged based on the differences between the two parties' equipment. The equipment power consumption related indicators on the operator side include power, total power consumption, and geographical location. The power supply indicators on the power side include power supply power, location, power collection radius, and power supply form.

[0021] As an optimal solution for the 5G power infrastructure co-construction and sharing method for supporting power transmission and distribution described in the present invention, the wireless access blind spots and signal blind spots of the differential protection service of the distribution room are monitored and judged according to the visual view, including the geographical location of power-related sites of substations, distribution rooms, and photovoltaic facilities in the entire network and the visual view of the operator, and judging: if the color of the visual view is lighter than the preset depth for a long time near the power site, it indicates that the signal is weak, that is, it is recommended as a demand point for enhanced signal coverage, and the long time is more than 1 month.

[0022] As an optimal solution for the 5G power infrastructure co-construction and sharing support method for power transmission and distribution described in the present invention, the resource data source of the power side of the unified resource modeling module includes the use of drones for inspection, which includes ultra-low altitude, beyond-visual-range safe flight and high-precision navigation and positioning technology; the drone maintains 1080p clarity during uniform flight. The bandwidth of the backhaul data reaches 32Mbit / s, and there is at least one backhaul access point every 20km. Through the system's feeder ledger, a designated tower is selected every 15km, and the tower's nearest substation or distribution room information is matched to support operators in building base stations.

[0023] In order to solve the above technical problems, the present invention also provides a 5G power infrastructure co-construction and sharing support transmission and distribution power system, including: a unified resource modeling module, used to model and associate resources on the operator side and the power side, and provide a basic model library and resource library to the power resource management module; a power resource management module, connected to the unified resource modeling module, used to provide power grid management personnel with a full view list of resources for co-construction and sharing in the entire power grid; an external enterprise demand management module, connected to the power resource management module, used to provide information, demand query and registration to external enterprises.

[0024] The beneficial effects of the invention are as follows: the invention optimizes the addressing process of both operators and power companies in co-construction and sharing, accurately matches needs, increases the speed of co-construction and sharing, and improves efficiency; in the traditional power business mode of using 4G to transmit data, it provides a 5G construction method to improve transmission quality, which can effectively promote the matching of 5G and power needs; it proposes a new solution for the transmission mode of drones, and provides a 5G-based real-time backhaul method in addition to the traditional hard disk storage and backhaul method; based on the matching of operator signal quality and power resources, it flexibly carries out site planning according to the specific needs of transmission, distribution, and power consumption services, and provides a specific business optimization method based on 5G. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0026] Figure 1 A schematic diagram of the module structure of a method and system for co-constructing and sharing 5G power infrastructure to support power transmission and distribution, provided in accordance with one embodiment of the present invention;

[0027] Figure 2 Another module structure diagram of a 5G power infrastructure co-construction and sharing support method and system for power transmission and distribution provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0028] To make the above-mentioned objects, features, and advantages of the present invention more clearly understood, the following detailed description of the specific embodiments of the present invention is given in conjunction with the accompanying drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary persons in this field without creative work should fall within the scope of protection of the present invention.

[0029] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0030] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0031] The present invention is described in detail with reference to schematic diagrams. For ease of illustration, cross-sectional views of device structures may be partially enlarged and not to scale when describing embodiments of the present invention. Furthermore, the schematic diagrams are merely illustrative and should not limit the scope of the present invention. Furthermore, in actual production, the three-dimensional dimensions of length, width, and depth should be included.

[0032] In the description of the present invention, it should be noted that the terms "upper, lower, inner, and outer" and other references to orientations or positional relationships are based on the orientations or positional relationships shown in the accompanying drawings and are intended solely to facilitate and simplify the description of the present invention. They are not intended to indicate or imply that the devices or components referred to must have, be constructed, or operate in a specific orientation, and therefore should not be construed as limitations on the present invention. Furthermore, the terms "first, second, or third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0033] In this disclosure, unless otherwise specified or limited, the terms "mounted," "connected," and "connected" should be interpreted broadly. For example, they may refer to fixed, removable, or integral connections. They may also refer to mechanical, electrical, or direct connections, indirect connections through an intermediary, or internal communication between two components. Those skilled in the art will understand the specific meanings of these terms in this disclosure.

[0034] Example 1

[0035] On the one hand, the present invention solves the communication network needs of power grid companies, and on the other hand, it provides an effective management method to control the co-construction and sharing resources available for electricity. In the process of co-construction and sharing between power grid companies and operators, there is a problem that power grid companies and operators cannot clearly understand each other's resource situation, resulting in the inability to reasonably match needs and reach cooperation. Some power grid companies are unclear about the leasing situation of their own resources, which makes management difficult and unable to effectively provide resource leasing services to external companies. The present invention provides a management method to determine the communication needs of transmission lines and gives suggestions to solve the information transmission problems existing in transmission lines. The transmission line drone monitoring traffic backhaul access is difficult and the charges are high. UAV inspections require real-time high-definition images to ensure the quality of the inspection. However, the signal quality in the environment where some transmission lines are located is weak. Information often freezes, the picture is blurred, and the transmission speed is slow during the backhaul process. Some transmission lines do not even have operator wireless signal coverage, which makes it difficult for line monitoring and drone terminals to backhaul data, and the cost of self-built optical fiber transmission channels to cover transmission lines is high. The present invention addresses the high latency and security issues associated with traditional wireless access in distribution network differential protection scenarios. The communication quality of 4G networks is affected by many environmental factors (such as rapid signal fading and a rate drop due to too many connected users). The average latency of the 4G system is 50 to 100 ms, which cannot meet the time requirements for rapid protection action. The 4G communication network has poor reliability, with a bit error rate of only 0.1%, which cannot meet the channel reliability requirements of differential protection. The present invention addresses the voltage instability problem caused by the grid-connected distributed photovoltaic power generation system to the public grid. Distributed photovoltaic power generation systems can have many adverse effects on the power grid. On the one hand, the access of distributed photovoltaic power generation increases the difficulty of load forecasting in the area where it is located. On the other hand, the access of distributed photovoltaic power generation changes the voltage distribution on the feeder, affecting the voltage stability and frequency safety of the power grid.

[0036] This embodiment is an embodiment of the present invention, and provides a method for co-constructing and sharing 5G power infrastructure to support power transmission and distribution, including:

[0037] S1: Use the unified resource modeling module 100 to model and associate the resources on the operator side and the power side, and provide the basic model library and resource library to the power resource management module 200.

[0038] It should be noted that the resource data sources of the power side of the unified resource modeling module 100 include:

[0039] Use drones for inspections, including ultra-low altitude, beyond visual range safe flight and high-precision navigation and positioning technology;

[0040] The bandwidth of the drone's backhaul data reaches 32Mbit / s while maintaining 1080p resolution during constant flight, and there is at least one backhaul access point every 20km. Through the system's feeder records, designated towers are selected every 15km and matched with the nearest substation or distribution room information to support operators in building base stations.

[0041] Modeling resources on the operator side and the power side includes:

[0042] The operator side models different types of base stations and transmission equipment, including: base station power, location, total power consumption, power supply type, expected coverage range; transmission equipment location, quantity, specifications, and power consumption;

[0043] On the power side, modeling of substations, distribution facilities, optical cables, and pipe corridor resources includes: the size, specifications, geographical location, feeder lines, power supply radius, and power supply form of electrical facilities; the length, specifications, and AZ ends of optical cables; and the cross-sectional area and length of pipe corridors.

[0044] The association methods include:

[0045] Based on the existing cases of power grid companies and operators cooperating in co-construction and sharing, the devices of both parties are associated according to a scenario object. Each operator's equipment will have corresponding power supply equipment and actual power calculation. The actual power calculation formula is:

[0046] P=UI

[0047] Among them, P represents actual power, U represents actual voltage, and I represents actual current;

[0048] If the optical cables and pipe corridors used by the operator's equipment are resources on the power side, they will also be associated.

[0049] Furthermore, modeling resources on the operator side and the power side also includes using a three-dimensional modeling strategy to model resource data and form a visual view display.

[0050] Specifically, the 3D modeling strategy includes:

[0051] Filter the collected data based on data screening rules to select data that meets the rules;

[0052] Perform spatial synthesis on the data and construct a three-dimensional grid model of the data;

[0053] Use data registration strategy to establish spatial correlation between data in 3D grid model;

[0054] The texture mapping strategy is used to automatically map the data after establishing spatial association relationships into a fine three-dimensional grid model, giving the grid model visual texture information and realizing three-dimensional display of the data.

[0055] The data screening rules include:

[0056] The correlation between data is measured according to the Pearson correlation, and its calculation formula is:

[0057] ρ(X, Y)=(COV(X, Y)) / (σ X σ Y )=(E[(X-μ X )(Y-μ Y )]) / (σ X σ Y )

[0058] Among them, X and Y represent different data variables, σ X σ Y represents the variance of the data variable, E[(X-μ X )(Y-μ Y )] represents the covariance of data variables X and Y, μ X 、μ Y Represents the mathematical expectation of the data variable;

[0059] If ρ X,Y If it is greater than the preset value, it means that there is a correlation between the two data, which means that the data meets the filtering rules.

[0060] The process of spatially compositing data includes:

[0061] The RANSAC method is used to traverse and match each set of feature points in the input image sequence to obtain the two-dimensional matching point relationship between the images, obtain the rotation and translation matrix between the cameras, and then calculate the 3D depth and spatial coordinates of the two-dimensional feature points according to the triangulation formula shown in the following formula:

[0062]

[0063] Among them, s1 and s2 are the image depths corresponding to points p1 and p2 respectively, and P is the world space coordinate of the object point.

[0064] There is a position error between the three-dimensional space point solved by the least squares method and the two-dimensional feature point after reprojection. In order to minimize the error of the feature point projection, the optimal three-dimensional space point coordinates are obtained.

[0065] Based on the optimal three-dimensional space point coordinates, the three-dimensional grid model of the equipment is constructed using MVS technology.

[0066] Furthermore, the data registration strategy includes:

[0067] The image data set is represented as {I1,I2,…,I n}, calculate the registration error ε between the set and a single image, and its calculation formula is:

[0068]

[0069] in, Represent the original matching point pixel coordinates in V1, Respectively represent I i The coordinates of the matching points in the image are transformed by perspective, N c Indicates the number of matching point pairs.

[0070] When the matching error ε is smaller, the registration quality is higher. The single image with the smallest registration error is selected as the input image to obtain the optimal spatial correlation relationship.

[0071] S2: Based on the model and resource library provided by the unified resource modeling module 100, the power resource management module 200 provides the power grid management personnel with a full view list of resources for co-construction and sharing in the entire power grid, mainly including power pole tower resources, substations, distribution rooms, feeders, box transformers, pipeline corridors, roofs, etc.

[0072] S3: Based on the full view list of resources, the external enterprise demand management module 300 provides information, demand query and registration to external enterprises through an open interface, including the distribution of photovoltaic power generation users, operator signal distribution, etc.

[0073] It should be noted that the external enterprise demand management module 300 matches the external enterprise demand with the resource full view list, and its matching rules include:

[0074] Match the power consumption-related indicators of the operator's equipment with the power supply indicators on the power side. Only when the operator's equipment is within the preset power supply range of the power side equipment and the total power consumption does not exceed the preset power supply equipment margin, and the power supply form matches, it is recommended as a cooperation point for co-construction and sharing. Otherwise, the solution will be determined based on the differences between the two parties' equipment. The power consumption-related indicators of the operator's equipment include power, total power consumption, and geographical location, and the power supply indicators on the power side include power supply power, location, power supply radius, and power supply form.

[0075] Furthermore, external companies can monitor and determine the wireless access blind spots and signal blind spots of the differential protection service in the power distribution room based on the visual view, including:

[0076] Based on the geographic location of power-related sites such as substations, distribution rooms, and photovoltaic facilities across the entire network and the operator's visualization view, it is judged that if the visualization color near a power site is lighter than the preset depth for a long time, it means that the signal is weak, and it is recommended to be a point where enhanced signal coverage is needed, and the long period of time is more than one month.

[0077] Among them, it monitors and determines the wireless access blind spots of the differential protection service in the distribution room, provides the pipe corridor, optical cable and distribution room resources near the blind spots, and supports operators to build 5G base stations near the distribution room to solve the problem of differential protection service access; by increasing the monitoring frequency and communication speed, it can achieve real-time stabilization and control of the photovoltaic system. Specifically, through the pole tower and photovoltaic power generation user distribution information of the power resource management module and the operator's signal distribution map, it monitors and determines the signal blind spots on the floor where the distributed photovoltaic is located, provides nearby pole tower and roof resources, and supports operators to build 5G base stations nearby, ensuring high-frequency and high-precision photovoltaic equipment information collection, and realizing stable control of the photovoltaic system.

[0078] (1) Solve the problem of matching the needs of co-construction and sharing: Taking the leased rooftop in the co-construction and sharing model as an example, rooftop resources are one of the scarce resources in the current 5G construction process of operators. Although power grid companies have many substations, distribution rooms, and office buildings, high-quality rooftop resources that meet the requirements of large area, good structure, and strong load-bearing capacity are scarce. Through the template of the power resource management module, it is convenient to investigate and fill in the building conditions and leasing conditions of each unit, providing support for the resource leasing of co-construction and sharing.

[0079] (2) Solve the problems of difficult backhaul access and high fees for drone monitoring traffic on power transmission lines: High-quality drone inspections require ultra-low altitude, beyond-visual-range safe flight and the use of high-precision navigation and positioning technology. According to calculations, the bandwidth for drones to maintain 1080p resolution backhaul data during uniform flight must reach 32Mbit / s, and there must be at least one backhaul access point every 20km. Through the system's feeder records, designated towers can be selected every 15km and matched with the nearest substation or distribution room information of the towers, supporting operators in building base stations and solving the problem of difficult backhaul of drone information on power transmission lines.

[0080] (3) Solve the wireless backhaul problem of differential protection services in the distribution network: Click on the distribution network topology map to display a map of the differential protection lines of all distribution rooms. By superimposing the operator's signal coverage map, the wireless access blind spot of the differential protection service in the distribution room can be calculated. The transformer substation that needs differential protection in the blind spot can be selected. The distribution room resource map can be used to match the distribution room closest to the transformer substation. This supports operators to build 5G base stations based on the distribution room's computer room and roof to alleviate the problem of weak wireless signal coverage near the transformer substation, thereby ensuring low latency and reliability of wireless backhaul.

[0081] (4) Solve the problem of grid instability caused by the grid connection of distributed photovoltaic power generation: Click on the photovoltaic user distribution map and the distribution room resource map to display all photovoltaic users and the distribution rooms in their communities. By superimposing the operator's signal coverage map, the wireless access blind spots of distributed photovoltaic power generation systems can be calculated. The distribution room resource map can be used to match the distribution room closest to the photovoltaic user. Based on the signal coverage prediction, the best distribution room can be selected as the best resource. This supports operators to build 5G base stations based on the distribution room's computer room and roof to alleviate the problem of weak coverage near the photovoltaic system, ensure high-frequency and high-precision photovoltaic equipment information collection, and achieve stable control of the photovoltaic system.

[0082] To verify and illustrate the technical effects of the present invention, different methods selected in this embodiment are compared with the present invention to conduct tests, and the test results are compared by scientific means to verify the real effects of the present invention.

[0083] Traditional technical solutions: low efficiency and high operating costs. To verify that this method has higher efficiency and lower operation and maintenance costs than traditional methods, this embodiment will use the traditional co-construction and sharing cooperation model and this method to conduct real-time measurement comparisons.

[0084] This paper takes the cooperation scenario of Dongguan Power Supply Bureau and China Telecom at Xiangwei Substation as an example, and the comparison results are as follows:

[0085] (1) Rate comparison: The traditional co-construction and sharing cooperation model generally goes through three steps. First, the two sides need to exchange demand information with their dedicated customer service, then the two sides jointly send people to survey the on-site location information, and finally reach a cooperation intention after internal process review and sign a contract. After the system construction is completed, taking the cooperation scenario of Dongguan Power Supply Bureau and China Telecom at Xiangwei Substation as an example, a total of 15 power business scenarios have been cooperated. In the past year of operation and maintenance, the process has been optimized and the guarantee processing has been improved. The process of manual on-site online survey and operation and maintenance has been eliminated. Based on the labor cost of 1,000 yuan / person / day for each point of operation and maintenance survey, the total reduction is more than 5 million yuan; each power business scenario has no optical fiber access to the main station, and the distance is 25-60 kilometers. Taking the average distance of 40 kilometers, the optical fiber access is 340 yuan / pair of cores*month, which saves 2.5 million yuan in optical fiber rental fees per year; this scenario has invested 11 million yuan in construction, including 10 5G base stations and 100 bearer network equipment. It is expected to operate for more than 5 years, and the return is far greater than expected.

[0086] (2) Efficiency comparison: In terms of efficiency, there are very few cases of traditional co-construction and sharing cooperation. The survey and application process takes more than half a year. The cycle of co-construction and sharing cooperation projects between power companies and operators is more than one year. The number of operator demand reports does not exceed 20, and the number of resources entered by the power company is zero. After the system construction was completed, the number of resources entered by the power company was more than 100, and the cooperation process time was reduced to the monthly level.

[0087] Example 2

[0088] Reference Figures 1-2 This is another embodiment of the present invention. This embodiment differs from the first embodiment in that it provides a 5G power infrastructure co-construction and sharing support power transmission and distribution system. The above-mentioned 5G power infrastructure co-construction and sharing support power transmission and distribution method is implemented based on this system, which specifically includes:

[0089] The unified resource modeling module 100 is used to model and associate resources on the operator side and the power side, and provide a basic model library and resource library to the power resource management module 200;

[0090] The power resource management module 200 is connected to the unified resource modeling module 100 and is used to provide the power grid management personnel with a comprehensive view of the resources for co-construction and sharing across the entire power grid;

[0091] The external enterprise demand management module 300 is connected to the power resource management module 200 and is used to provide information, demand query and registration to external enterprises.

[0092] It should be appreciated that embodiments of the present invention can be implemented or practiced by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer-readable memory. The methods can be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with a computer program, wherein the storage medium so configured causes the computer to operate in a specific and predefined manner, according to the methods and figures described in the specific embodiments. Each program can be implemented in a high-level procedural or object-oriented programming language to communicate with the computer system. However, if desired, the program can be implemented in assembly or machine language. In any case, the language can be a compiled or interpreted language. In addition, the program can be run on a programmed application-specific integrated circuit for this purpose.

[0093] Furthermore, the operations of the processes described herein may be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by the context. The processes described herein (or variations and / or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) that is executed collectively on one or more processors, by hardware, or a combination thereof. The computer program includes a plurality of instructions that can be executed by one or more processors.

[0094] Furthermore, the methods can be implemented in any type of computing platform operably connected to a suitable computer, including but not limited to a personal computer, minicomputer, mainframe, workstation, network or distributed computing environment, standalone or integrated computer platform, or in communication with a charged particle tool or other imaging device, etc. Aspects of the present invention can be implemented as machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard drive, optical read and / or write storage medium, RAM, ROM, etc., such that it can be read by a programmable computer, and when the storage medium or device is read by the computer, can be used to configure and operate the computer to perform the processes described herein. Furthermore, the machine-readable code, or portions thereof, can be transmitted over wired or wireless networks. When such media includes instructions or programs for implementing the steps described above in conjunction with a microprocessor or other data processor, the invention described herein includes these and other different types of non-transitory computer-readable storage media. The invention also includes the computer itself, when programmed according to the methods and techniques described herein. The computer program can be applied to input data to perform the functions described herein, thereby converting the input data to generate output data that is stored in non-volatile memory. The output information can also be applied to one or more output devices, such as a display. In a preferred embodiment of the present invention, the converted data represents a physical and tangible object, including a specific visual depiction of the physical and tangible object produced on a display.

[0095] As used in this application, the terms "component", "module", "system" and the like are intended to refer to a computer-related entity, which can be hardware, firmware, a combination of hardware and software, software, or software in operation. For example, a component can be, but is not limited to: a process running on a processor, a processor, an object, an executable file, a thread in execution, a program and / or a computer. As an example, both an application running on a computing device and the computing device can be a component. One or more components can exist in an executing process and / or thread, and a component can be located in a computer and / or distributed between two or more computers. In addition, these components can be executed from various computer-readable media having various data structures thereon. These components can communicate in the form of local and / or remote processes, such as based on signals having one or more data packets (e.g., data from a component that interacts with another component in a local system, a distributed system, and / or interacts with other systems in the form of signals over a network such as the Internet).

[0096] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. 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 solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A 5G power infrastructure co-construction and sharing support method for power transmission and distribution, characterized in that: include: Using a unified resource modeling module (100) to model and associate resources on the operator side and the power side, and providing a basic model library and resource library to the power resource management module (200); The power resource management module (200) provides a full view list of resources for co-construction and sharing of the entire power grid to power grid managers based on the model and resource library provided by the unified resource modeling module (100); Based on the resource full view list, the external enterprise demand management module (300) provides information, demand query and registration to external enterprises through an open interface; Modeling the resources on the operator side and the power side includes: The operator side models different types of base stations and transmission equipment, including: base station power, location, total power consumption, power supply type, expected coverage range; transmission equipment location, quantity, specifications, and power consumption; The power side models the substation, distribution facilities, optical cables, and pipe corridor resources, including: the size, specifications, geographical location, feeder lines, power supply radius, and power supply form of the electrical facilities; the length, specifications, and AZ ends of the optical cables; and the cross-sectional area and length of the pipe corridors. Modeling the resources on the operator side and the power side also includes modeling the resource data using a three-dimensional modeling strategy and forming a visual view display; The association methods include: Based on the existing case of grid enterprise-operator cooperation in co-construction and sharing, the devices of both parties are associated according to a scenario object. Each operator's equipment will have corresponding power supply equipment and actual power calculation. The actual power calculation formula is: P=UI Among them, P represents actual power, U represents actual voltage, and I represents actual current; If the optical cables and pipe corridors used by the operator's equipment are power-side resources, they will also be associated; The external enterprise demand management module (300) matches the resource full view list according to the external enterprise demand, and its matching rules include: Match the operator-side equipment power consumption indicators with the power supply indicators on the power side. Only when the operator-side equipment is within the preset power supply range of the power side equipment and the total power consumption does not exceed the preset power supply equipment margin, and the power supply form matches, it is recommended as a cooperation point for co-construction and sharing. Otherwise, the solution is determined based on the differences between the two parties' equipment. The operator-side equipment power consumption indicators include power, total power consumption, and geographical location, and the power supply indicators on the power side include power supply power, location, power collection radius, and power supply form. According to the visualization view, the wireless access blind area and signal blind area of ​​the differential protection service of the distribution room are monitored and judged, including: Based on the geographic location of power-related sites across the entire network, including substations, distribution rooms, and photovoltaic facilities, and the operator's visualization view, the following judgment is made: If the visualization color near a power site is lighter than the preset depth for a long period of time, it indicates that the signal is weak, and it is recommended that the site be a location where enhanced signal coverage is needed. The long period of time is more than one month. The resource data sources of the power side of the unified resource modeling module (100) include: Use drones for inspections, including ultra-low altitude, beyond visual range safe flight and high-precision navigation and positioning technology; The UAV maintains a 1080p resolution while flying at a constant speed, and the bandwidth of the returned data reaches 32Mbit / s, with at least one return access point every 20km. Through the system's feeder records, designated towers are selected every 15km, and the towers are matched with information on the nearest substation or distribution room to support operators in building base stations.

2. The 5G power infrastructure co-construction and sharing support power transmission and distribution method according to claim 1, characterized in that: The three-dimensional modeling strategy includes: Filter the collected data based on data screening rules to select data that meets the rules; Perform spatial synthesis on the data and construct a three-dimensional grid model of the data; Establishing spatial correlation between data in the three-dimensional grid model using a data registration strategy; The texture mapping strategy is used to automatically map the data after establishing spatial association relationships to a fine three-dimensional grid model, and visual texture information is given to the grid model to achieve three-dimensional display of the data.

3. The 5G power infrastructure co-construction and sharing support power transmission and distribution method as claimed in claim 2, characterized in that: The data screening rules include: The correlation between data is measured according to the Pearson correlation, and its calculation formula is: ρ(X,Y)=(COV(X,Y)) / (σ X s Y )=(E[(X-μ X )(Y-μ Y )]) / (s X s Y ) Among them, X and Y represent different data variables, σ X σ Y represents the variance of the data variable, E[(X-μ X )(Y-μ Y )] represents the covariance of data variables X and Y, μ X 、μ Y Represents the mathematical expectation of the data variable; If ρ(X, Y) is greater than the preset value, it means that the two data are correlated, which means that the data meets the screening rules.

4. A 5G power infrastructure co-construction and sharing support power transmission and distribution system, applying the 5G power infrastructure co-construction and sharing support power transmission and distribution method according to any one of claims 1 to 3, characterized in that: include: A unified resource modeling module (100) is used to model and associate resources on the operator side and the power side, and provide a basic model library and resource library to the power resource management module (200); An electric power resource management module (200), connected to the unified resource modeling module (100), is used to provide a full view list of resources for co-construction and sharing of the entire power grid to power grid managers; The external enterprise demand management module (300) is connected to the power resource management module (200) and is used to provide information, demand query and registration to external enterprises.

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