An intelligent power grid topology mapping method based on substation-line-household fusion data

Abstract

The application discloses a kind of power grid topology intelligent mapping methods based on plant station line variable household fusion data, it is related to plant station line variable household fusion data technical field, including scalable vector graphics construction station internal wiring structure automatic drawing component, intelligent drawing main transformer in substation, bus, switch main component information, relationship, and adjacent wiring condition of substation.This application generates power grid topology, establishes the source network load topology relationship of power plant-transforming substation-line-transformer-meter box-user by fusing dispatching topology and relationship of distribution and dispatching, establishes the electric quantity relationship of equipment-gateway-metering point-meter based on switch physical archives, realizes the function of full network topology automatic generation by combining line loss model, constructs power grid topology automatic mapping component by scalable vector graphics, intelligently draws plant station wiring structure and power grid tension diagram by combining fusion data, realizes diagram module integration.

Description

Technical Field

[0001] This invention relates to the field of integrated data technology for power plants, substations, lines, transformers, and customers, and specifically to a method for intelligent mapping of power grid topology based on integrated data for power plants, substations, lines, transformers, and customers. Background Technology

[0002] Line loss management is a comprehensive task that spans the entire production process and all aspects of a company's operations. It involves multiple specialties, deep levels, long chains, and a wide scope, and is constrained by traditional electricity meter reading and issuance methods. The existing technology has the following problems:

[0003] In existing technologies, monthly line loss rates fluctuate distortedly, with "higher rates in high months and lower rates in low months." Furthermore, previous business operations were fragmented and lacked coordination, with data being filed in multiple professional systems, resulting in inconsistent naming, information silos, and difficulty in data sharing. The lack of a unified line loss platform at the company level makes online, digital, and refined management extremely difficult, hindering the implementation of "four-part" line loss management. Summary of the Invention

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows:

[0005] A method for intelligent power grid topology mapping based on integrated data of power plants, substations, lines, transformers, and customers is provided. The main steps of this method are as follows:

[0006] Step 1: Visualize the power grid topology;

[0007] Step Two: Integration of Graphics and Data;

[0008] Step 3: Intelligent topology drawing.

[0009] A further improvement to the technical solution of the present invention is that the power grid topology visualization in step one further includes the following steps:

[0010] AA: An automatic drawing component for substation wiring structures based on scalable vector graphics, which intelligently draws information and relationships of main components such as transformers, busbars, and switches in the substation, as well as the wiring situation of adjacent substations.

[0011] AB: First, access the component data according to the requirements, including substations, main transformers, busbars, switches, and lines, maintain the component topology data, and ensure that the components are correctly associated to prepare for the subsequent steps of drawing the substation wiring diagram.

[0012] A further improvement to the technical solution of the present invention is that the power grid topology visualization in step one further includes the following steps:

[0013] AC: Based on the substation ID, query the information of busbars, main transformers, main transformer switches, transmission lines, distribution lines, line switches, and connected substations. Divide all data into three parts: busbar section; main transformer and main transformer switch section; transmission lines, distribution lines, line switches, and connected substations section. The main transformer section data is grouped by main transformer, and the transmission line section is grouped by connected substations and voltage level.

[0014] A further improvement to the technical solution of the present invention is that the power grid topology visualization in step one further includes the following steps:

[0015] AD: After the backend data transmission is completed, a graph drawing program based on the JointJS framework is used to encapsulate a new basic graph according to the requirements of this graph, providing support for the subsequent drawing steps. A canvas is created on the front end, a graph model is generated using a joint.dia.Graph model instance and attached to the joint.dia.Paper model. Then, a div is bound to the front end, and the image will be displayed in the div. Then, the wiring diagram of the site is drawn.

[0016] AE: In addition to drawing the wiring diagram within the station, it also draws the relationship between the substation, lines, and switching components from an overall perspective, and realistically restores the power grid structure proportionally by varying the line tension.

[0017] The main steps in AF:AE to realistically recreate the power grid structure proportionally using different line tensions are as follows:

[0018] a) Query the required data based on unit ID and voltage level;

[0019] b) Return the data returned by the query to the drawing component to generate a multidimensional array of device data;

[0020] c) Generate a data relationship matrix based on the data parsing device associations;

[0021] d) Draw the power grid structure using multidimensional data arrays and relational matrices, as well as the mapping relationship between each device and visual primitives;

[0022] e) Set tension coefficients for different connecting lines according to the actual structure, dynamically adjust the length of the connecting lines, and finally generate a power grid tension diagram.

[0023] A further improvement to the technical solution of the present invention is that the integration of graphics and data in step two further includes the following steps:

[0024] BA: By using two-dimensional graphing technology, the changes in line loss rate by zone and voltage over a period of time, the compliance status of line loss rate by transformer area and component, and the proportion of negative loss, high loss, and ultra-high loss models are displayed in a way that intuitively reflects the effectiveness of line loss management.

[0025] A further improvement to the technical solution of the present invention is that the integration of graphics and data in step two further includes the following steps:

[0026] In BB: 2D graph drawing in BA mainly achieves the above functions through the following steps:

[0027] a) Query the required line loss data based on unit, four-part category, and time;

[0028] b) Return the data returned by the query to the plotting component to generate a multidimensional array of line loss data;

[0029] c) Parse the date data stored in the line loss data array and generate a data date array;

[0030] d) Using two-dimensional plotting technology, a coordinate system is automatically generated based on the mapping relationship between line loss data and dates, and the graphic elements are automatically plotted in the coordinate system according to the date order.

[0031] A further improvement to the technical solution of the present invention is that the integration of graphics and data in step two further includes the following steps:

[0032] BC: Designs intelligent line loss dashboards based on power distribution lines and transformer substations, displaying the corresponding line loss distribution and compliance status. It allows for detailed viewing of electricity consumption, enabling rapid detection of problems and location of anomalies, and realizing the monitoring of line loss status of power distribution lines and transformer substations. It provides a practical data analysis tool for line loss in power distribution networks and low-voltage networks.

[0033] BD: The intelligent line loss dashboard designed in BC, which uses power distribution lines and transformer substations as units, mainly achieves the above functions through the following steps:

[0034] a) Query the required power consumption, line loss, and abnormal data based on the unit, equipment type, and time;

[0035] b) Return the power consumption and line loss data returned by the query to the drawing component to generate a multidimensional data array;

[0036] c) Parse the date data stored in the line loss data array and generate a data date array;

[0037] d) Using two-dimensional plotting technology, a coordinate system is automatically generated based on the mapping relationship between line loss data and dates, and the graphic elements are automatically plotted in the coordinate system according to the date order;

[0038] e) Return the abnormal data returned by the query to the drawing component to generate an array of abnormal data;

[0039] f) Using two-dimensional graphing techniques, anomaly radar charts are drawn based on the proportion of anomalies in the total.

[0040] A further improvement to the technical solution of the present invention is that the integration of graphics and data in step two further includes the following steps:

[0041] BE: Relying on a comprehensive, automated, and real-time monitoring and analysis system, the system automatically scans and diagnoses daily from the aspects of archives and models, and abnormal power consumption at key points. It achieves all-round monitoring of archives, models, and power consumption access quality, quickly and accurately locates anomalies, and provides an anomaly list, providing strong support for anomaly rectification and management mechanism improvement.

[0042] BF: BE relies on a comprehensive, automated, and real-time monitoring and analysis system to achieve the above functions mainly through the following steps:

[0043] a) Query the abnormal data and quantity for the corresponding time period based on the unit and time;

[0044] b) Return the abnormal data returned by the query to the drawing component to generate an abnormal statistics array;

[0045] c) Parse the unit data stored in the exception array and generate the corresponding unit array;

[0046] d) Read the geographic boundary coordinate vectors through the graphics drawing component and generate a map in real time;

[0047] e) Load the abnormal statistics data into the map and color the corresponding regions according to the number of abnormalities in different regions;

[0048] f) Automatically sort and plot the data based on the number of anomalies to generate a ranking chart;

[0049] BG: The system automatically analyzes and diagnoses high loss, negative loss, and data acquisition failure anomalies in 10kV lines and transformer areas, locates abnormal equipment and meters, and displays related data to facilitate grassroots units in investigating the causes of abnormal line losses.

[0050] BH: For various professional areas such as development, scheduling, operation and maintenance, and marketing, as well as for different dimensions of components such as zones, voltage distribution, lines, and stations, the system uses graphical analysis to display rankings, trends, and percentages of various data to intuitively present the assessment results.

[0051] A further improvement to the technical solution of the present invention is that the intelligent topology drawing in step three also includes the following steps:

[0052] CA: Obtains component files and topology through the interface, generates a multi-dimensional data matrix, then establishes a mapping relationship between the data and the primitives, draws the graphics, and simultaneously calculates the length, size, position, and line segment inflection point attributes of the primitives in real time according to the actual structure of the power grid, and automatically adjusts them to finally form the power grid topology graphics.

[0053] A further improvement of the technical solution of this invention lies in the following: line loss monitoring is performed using a line loss monitoring structure, which includes multiple long ring-shaped detection packages sleeved on the outside of the cable or manufactured integrally with the cable; the detection package is a sealed structure, filled with electrorheological fluid; the side of the detection package that is attached to the cable sheath is the attachment surface, or the cable sheath is directly used as the attachment surface; electrodes are arranged opposite each other inside the detection package; one electrode is attached to the attachment surface, and the other electrode is attached to the opposite surface of the attachment surface and grounded; a piezoelectric ceramic sheet is also provided inside the detection package; the piezoelectric ceramic sheet is electrically connected to an external current sensor; a controller detects the current magnitude of the current sensor; during use, an ultrasonic generator emits ultrasonic waves to the detection package remotely, and the ultrasonic waves drive the piezoelectric ceramic sheet to resonate and deform; two electrodes are arranged diagonally inside the detection package; the piezoelectric ceramic sheet is located in the middle of the detection package.

[0054] Due to the adoption of the above technical solution, the technical progress achieved by this invention compared to the prior art is as follows:

[0055] 1. This invention provides a method for intelligent mapping of power grid topology based on integrated data of power plants, substations, lines, transformers, and users. By generating the power grid topology, integrating the dispatch topology and the operation, distribution, and dispatch relationship, the source-grid-load topology relationship of power plant-substation-line-transformer-meter box-user is established. Based on the physical files of switches, the power relationship of equipment-gateway-metering point-meter is established. Combined with the line loss model, the function of automatic generation of the entire network topology is realized.

[0056] 2. This invention provides a method for intelligent mapping of power grid topology based on integrated data of power plants, substations, lines, transformers and customers. It constructs an automatic mapping component of power grid topology through scalable vector graphics, and intelligently draws the wiring structure of power plants and substations and the power grid tension diagram by combining the integrated data, thus realizing the integration of map and model.

[0057] 3. This invention provides a method for intelligent mapping of power grid topology based on integrated data of power plants, substations, lines, transformers and customers. Through the integrated map and model function of scalable vector graphics, it realizes the visualization of the topological relationship of power plants, substations, lines, transformers, boxes and customers, as well as information such as gates, power consumption and line losses, which solves the long-standing problem of the difficulty in automatically splicing multi-voltage level and multi-level power grid topologies.

[0058] 4. This invention monitors line loss by installing a line loss monitoring structure on the outside of the cable. This structure can be manufactured integrally during cable production or installed externally later. It utilizes the characteristics of electrorheological fluid combined with the piezoelectric effect to achieve automatic protection against leakage and remote detection of line loss. When line loss or leakage occurs, the leaking current creates a potential difference between the opposing electrodes, applying an electric field to the electrorheological fluid, causing it to solidify instantly. This not only forms a robust protective isolation layer outside the line loss, preventing leakage and fire accidents, but also seals the internal piezoelectric ceramic sheet. During detection, when the operator remotely emits a ultrasonic wave to the ceramic sheet, it cannot resonate and deform, unlike the liquid state where the ceramic sheet resonates and generates current. Therefore, it can remotely determine whether there is line loss, which is particularly important in key areas prone to line loss or high-voltage cable sections. This achieves an organic combination of post-line loss protection and detection, ensuring equipment and personnel safety, facilitating inspection, and eliminating safety risks during the inspection process. Attached Figure Description

[0059] Figure 1 This is a schematic diagram of the line loss topology of the present invention;

[0060] Figure 2 This is a schematic diagram of the wiring within the station according to the present invention;

[0061] Figure 3 A schematic diagram of the virtual element of this invention is provided.

[0062] Figure 4 This is a schematic diagram of the power grid tension of the present invention;

[0063] Figure 5 This is a schematic diagram of the four-part line loss graphic structure of the present invention;

[0064] Figure 6 This is a schematic diagram of the intelligent dashboard for the device according to the present invention;

[0065] Figure 7 This is a schematic diagram of the auxiliary graphical analysis of line loss anomalies according to the present invention;

[0066] Figure 8 This is a schematic diagram of the indicator assessment dashboard of the present invention;

[0067] Figure 9 This is a schematic diagram of the line loss monitoring structure and cable of the present invention.

[0068] In the diagram: 2. Cable; 11. Test package; 12. Attachment surface; 13. Electrode; 14. Piezoelectric ceramic; 17. Electrorheological fluid. Detailed Implementation

[0069] The present invention will be further described in detail below with reference to embodiments:

[0070] Example 1

[0071] like Figure 1-8 As shown, this invention provides a method for intelligent mapping of power grid topology based on integrated data of power plants, substations, lines, transformers, and customers. The main steps of this method are as follows:

[0072] Step 1: Visualize the power grid topology;

[0073] Step Two: Integration of Graphics and Data;

[0074] Step 3: Intelligent topology drawing.

[0075] Preferably, the power grid topology visualization in step one further includes the following steps:

[0076] AA: An automatic drawing component for substation wiring structures based on scalable vector graphics, which intelligently draws information and relationships of main components such as transformers, busbars, and switches in the substation, as well as the wiring situation of adjacent substations.

[0077] AB: First, access the component data according to the requirements, including substations, main transformers, busbars, switches, and lines, maintain the component topology data, and ensure that the components are correctly associated to prepare for the subsequent steps of drawing the substation wiring diagram.

[0078] Preferably, the power grid topology visualization in step one further includes the following steps:

[0079] AC: Based on the substation ID, query the information of busbars, main transformers, main transformer switches, transmission lines, distribution lines, line switches, and connected substations. Divide all data into three parts: busbar section; main transformer and main transformer switch section; transmission lines, distribution lines, line switches, and connected substations section. The main transformer section data is grouped by main transformer, and the transmission line section is grouped by connected substations and voltage level.

[0080] Preferably, the power grid topology visualization in step one further includes the following steps:

[0081] AD: After the backend data transmission is completed, a graph drawing program based on the JointJS framework is used to encapsulate a new basic graph according to the requirements of this graph, providing support for the subsequent drawing steps. A canvas is created on the front end, a graph model is generated using a joint.dia.Graph model instance and attached to the joint.dia.Paper model. Then, a div is bound to the front end, and the image will be displayed in the div. Then, the wiring diagram of the site is drawn.

[0082] AE: In addition to drawing the wiring diagram within the station, it also draws the relationship between the substation, lines, and switching components from an overall perspective, and realistically restores the power grid structure proportionally by varying the line tension.

[0083] The main steps in AF:AE to realistically recreate the power grid structure proportionally using different line tensions are as follows:

[0084] a) Query the required data based on unit ID and voltage level;

[0085] b) Return the data returned by the query to the drawing component to generate a multidimensional array of device data;

[0086] c) Generate a data relationship matrix based on the data parsing device associations;

[0087] d) Draw the power grid structure using multidimensional data arrays and relational matrices, as well as the mapping relationship between each device and visual primitives;

[0088] e) Set tension coefficients for different connecting lines according to the actual structure, dynamically adjust the length of the connecting lines, and finally generate a power grid tension diagram.

[0089] Furthermore, by generating the power grid topology, integrating the dispatch topology with the operation and dispatch relationship, the source-grid-load topology relationship of power plant-substation-line-transformer-meter box-user is established. Based on the physical files of switches, the power relationship of equipment-gateway-metering point-meter is established. Combined with the line loss model, the function of automatically generating the entire network topology is realized.

[0090] Example 2

[0091] like Figure 1-8 As shown, step two of the image-data integration also includes the following steps:

[0092] BA: By using two-dimensional graphing technology, the changes in line loss rate by zone and voltage over a period of time, the compliance status of line loss rate by transformer area and component, and the proportion of negative loss, high loss, and ultra-high loss models are displayed in a way that intuitively reflects the effectiveness of line loss management.

[0093] Preferably, step two, the integration of graphics and data, further includes the following steps:

[0094] In BB: 2D graph drawing in BA mainly achieves the above functions through the following steps:

[0095] a) Query the required line loss data based on unit, four-part category, and time;

[0096] b) Return the data returned by the query to the plotting component to generate a multidimensional array of line loss data;

[0097] c) Parse the date data stored in the line loss data array and generate a data date array;

[0098] d) Using two-dimensional plotting technology, a coordinate system is automatically generated based on the mapping relationship between line loss data and dates, and the graphic elements are automatically plotted in the coordinate system according to the date order.

[0099] Preferably, step two, the integration of graphics and data, further includes the following steps:

[0100] BC: Designs intelligent line loss dashboards based on power distribution lines and transformer substations, displaying the corresponding line loss distribution and compliance status. It allows for detailed viewing of electricity consumption, enabling rapid detection of problems and location of anomalies, and realizing the monitoring of line loss status of power distribution lines and transformer substations. It provides a practical data analysis tool for line loss in power distribution networks and low-voltage networks.

[0101] BD: The intelligent line loss dashboard designed in BC, which uses power distribution lines and transformer substations as units, mainly achieves the above functions through the following steps:

[0102] a) Query the required power consumption, line loss, and abnormal data based on the unit, equipment type, and time;

[0103] b) Return the power consumption and line loss data returned by the query to the drawing component to generate a multidimensional data array;

[0104] c) Parse the date data stored in the line loss data array and generate a data date array;

[0105] d) Using two-dimensional plotting technology, a coordinate system is automatically generated based on the mapping relationship between line loss data and dates, and the graphic elements are automatically plotted in the coordinate system according to the date order;

[0106] e) Return the abnormal data returned by the query to the drawing component to generate an array of abnormal data;

[0107] f) Using two-dimensional graphing techniques, anomaly radar charts are drawn based on the proportion of anomalies in the total.

[0108] Preferably, step two, the integration of graphics and data, further includes the following steps:

[0109] BE: Relying on a comprehensive, automated, and real-time monitoring and analysis system, the system automatically scans and diagnoses daily from the aspects of archives and models, and abnormal power consumption at key points. It achieves all-round monitoring of archives, models, and power consumption access quality, quickly and accurately locates anomalies, and provides an anomaly list, providing strong support for anomaly rectification and management mechanism improvement.

[0110] BF: BE relies on a comprehensive, automated, and real-time monitoring and analysis system to achieve the above functions mainly through the following steps:

[0111] a) Query the abnormal data and quantity for the corresponding time period based on the unit and time;

[0112] b) Return the abnormal data returned by the query to the drawing component to generate an abnormal statistics array;

[0113] c) Parse the unit data stored in the exception array and generate the corresponding unit array;

[0114] d) Read the geographic boundary coordinate vectors through the graphics drawing component and generate a map in real time;

[0115] e) Load the abnormal statistics data into the map and color the corresponding regions according to the number of abnormalities in different regions;

[0116] f) Automatically sort and plot the data based on the number of anomalies to generate a ranking chart;

[0117] BG: The system automatically analyzes and diagnoses high loss, negative loss, and data acquisition failure anomalies in 10kV lines and transformer areas, locates abnormal equipment and meters, and displays related data to facilitate grassroots units in investigating the causes of abnormal line losses.

[0118] BH: For various professional areas such as development, scheduling, operation and maintenance, and marketing, as well as for different dimensions of components such as zones, voltage distribution, lines, and stations, the system uses graphical analysis to display rankings, trends, and percentages of various data to intuitively present the assessment results.

[0119] Furthermore, an automatic power grid topology mapping component was constructed using scalable vector graphics, and combined with fused data, the power plant wiring structure and power grid tension diagram were intelligently drawn, achieving integrated mapping and modeling.

[0120] Example 3

[0121] like Figure 1-8 As shown, the intelligent topology drawing in step three also includes the following steps:

[0122] CA: Obtains component files and topology through the interface, generates a multi-dimensional data matrix, then establishes a mapping relationship between the data and the primitives, draws the graphics, and simultaneously calculates the length, size, position, and line segment inflection point attributes of the primitives in real time according to the actual structure of the power grid, and automatically adjusts them to finally form the power grid topology graphics.

[0123] Furthermore, through the integrated graphic model function of scalable vector graphics, the topology relationship between power plants, stations, lines, transformers, boxes, and customers, as well as information such as access points, power consumption, and line losses, can be visualized, solving the long-standing problem of the difficulty in automatically splicing multi-voltage level and multi-level power grid topologies.

[0124] The working principle of this intelligent power grid topology mapping method based on the integration of power plant, substation, line, transformer, and customer data will be explained in detail below.

[0125] like Figure 1-9As shown, this intelligent power grid topology mapping method based on the fusion of power plant, substation, line, transformer, and user data first generates the power grid topology and establishes the source-grid-load topology relationship between power plants, substations, lines, transformers, meter boxes, and users by integrating the dispatch topology and the operation, distribution, and dispatch relationships. It then establishes the power quantity relationship between equipment, gateways, metering points, and meters based on switch physical files. Combined with a line loss model, it achieves the function of automatically generating the entire network topology. Next, it constructs an automatic power grid topology mapping component using scalable vector graphics, intelligently drawing the power plant wiring structure and power grid tension diagram based on the fused data. Furthermore, through the integrated graphic and model function of scalable vector graphics, it visualizes the power plant-substation-line-transformer-box-user topology relationship, as well as information such as gateways, power quantities, and line losses, solving the long-standing problem of the difficulty in automatically splicing multi-voltage level and multi-level power grid topologies.

[0126] Beneficial effects: This invention provides a method for intelligent mapping of power grid topology based on integrated data of power plants, substations, lines, transformers and users. By generating the power grid topology, integrating the dispatch topology and the operation, distribution and dispatch relationship, the source-grid-load topology relationship of power plant-substation-line-transformer-meter box-user is established. Based on the physical files of switches, the power relationship of equipment-gateway-metering point-meter is established. Combined with the line loss model, the function of automatic generation of the entire network topology is realized.

[0127] This invention provides a method for intelligent mapping of power grid topology based on integrated data of power plants, substations, lines, transformers and customers. It constructs an automatic mapping component for power grid topology through scalable vector graphics, and intelligently draws the wiring structure of power plants and substations and the power grid tension diagram by combining the integrated data, thus realizing the integration of map and model.

[0128] This invention provides an intelligent power grid topology mapping method based on integrated data from power plants, substations, lines, transformers, and customers. Through the integrated map and model function of scalable vector graphics, it realizes the visualization of the topology relationship between power plants, substations, lines, transformers, boxes, and customers, as well as information such as junctions, power consumption, and line losses. This solves the long-standing problem of the difficulty in automatically stitching together multi-voltage level and multi-level power grid topologies.

[0129] Furthermore, in the above embodiments, the line loss information is collected using a line loss monitoring structure, which includes multiple long annular detection packages 11 that are sleeved on the outside of the cable 2 or integrally manufactured with the cable 2. The detection package 11 is a sealed structure, filled with electrorheological fluid 17. The side of the detection package 11 that is attached to the outer sheath of the cable 2 is the attachment surface 12, or the outer sheath of the cable 2 can be used directly as the attachment surface 12. Electrodes 13 are arranged opposite each other inside the detection package 11. One electrode 13 is attached to the attachment surface 12, and the other electrode 13 is attached to the opposite surface of the attachment surface 12 and grounded. A piezoelectric ceramic sheet 14 is also provided inside the detection package 11. The piezoelectric ceramic sheet 14 is electrically connected to an external current sensor. A controller detects the current magnitude of the current sensor. The two electrodes 13 are arranged diagonally inside the detection package 11. The piezoelectric ceramic sheet 14 is located in the middle of the detection package 11.

[0130] In operation, ultrasonic waves are emitted from an ultrasonic generator to the detection package 11 via a distance. These ultrasonic waves drive the piezoelectric ceramic sheet 14 to resonate and deform. When the cable sheath is undamaged, the electrorheological fluid 17 is in a liquid state. When the piezoelectric ceramic sheet 14 is driven to resonate via an ultrasonic generator, it is only subject to liquid resistance, thus vibrating and deforming, generating current through the piezoelectric effect. The current sensor detects the current generation, and the controller records that the current sensor at that location has generated current, indicating that no line loss has occurred at that location. When the cable sheath is damaged, current leaks from the damaged area. A strong electric field is applied to the electrorheological fluid 17 through the electrode 13. The electrorheological fluid 17 instantly solidifies, sealing the damaged area and preventing leakage. Simultaneously, when the piezoelectric ceramic sheet 14 is driven to resonate via an ultrasonic generator, since the electrorheological fluid 17 has now solidified, the position of the piezoelectric ceramic sheet 14 is restricted, preventing vibration and deformation. Therefore, no piezoelectric current is generated, and the current sensor detects no current at that location. The controller records that line loss has occurred at that location. The present invention has been described in detail above. However, modifications or improvements can be made to it, which will be obvious to those skilled in the art. Therefore, any modifications or improvements that do not depart from the spirit of the present invention are within the scope of protection of the present invention.

Claims

1. A power grid topology intelligent mapping method based on substation-line-to-house fusion data, characterized in that: The main steps of the power grid topology intelligent mapping method based on the station-line-house integrated data are as follows: Step one: power grid topology visualization; Step two: graph and number integration; Step three: topology intelligent drawing; The power grid topology visualization in step one Comprises the following steps: AA: based on scalable vector graphics to build an automatic drawing component of the internal wiring structure of the station, intelligently draw the main transformer, bus, switch main component information, relationship, and adjacent wiring conditions of the substation; AB: first, access the component data according to the requirements, including the substation, main transformer, bus, switch, and line, maintain the component topology data, ensure the correct association of the components, and prepare for the subsequent internal wiring diagram drawing step; AC: according to the substation id, query the information of the bus, main transformer, main transformer switch, transmission line, distribution line, line switch, and connected substation, divide all the data into three parts: bus part; main transformer and main transformer switch part; transmission line, distribution line, line switch, and connected substation part, the main transformer part is grouped according to the main transformer, and the transmission line part is grouped according to the connected substation and voltage level; AD: after the background data transmission is completed, use the graph drawing program based on the secondary development of the JointJs framework, encapsulate new basic graphics according to the requirements of the graph, provide support for the subsequent drawing steps, create a drawing board in the foreground, use the joint.dia.Graph model instance to generate a graph model, and attach it to the joint.dia.Paper model, then bind a div in the foreground, the image will be displayed in the div, and then draw the internal wiring diagram; AE: in addition to the drawing of the internal wiring diagram, the association relationship of the plant, line, and switch components is drawn from the overall perspective, and the power grid structure is restored in true proportion through the different line tensions; AF: the main steps of restoring the power grid structure in true proportion through the different line tensions in AE are as follows: a) query the required data according to the unit id and voltage level; b) return the data returned by the query to the drawing component to generate a multi-dimensional array of device data; c) analyze the device association relationship according to the data to generate a data relationship matrix; d) draw the power grid structure through the multi-dimensional array of data and the relationship matrix, and the mapping relationship between each device and the visual graph element; e) set the tension coefficient for different connection lines according to the actual structure, dynamically adjust the length of the connection line, and finally generate a power grid tension diagram; The graph and number integration in step two comprises the following steps: BA: reasonably display the partition time, partition, and voltage line loss rate change, the line loss rate compliance of the substation, and the proportion of the negative loss, high loss, and super large loss model, intuitively reflect the line loss control effect; The topology intelligent drawing in step three comprises the following steps: CA: obtain the component file and topology through the interface, generate a multi-dimensional data matrix, then form a mapping relationship between the data and the graph element, draw the graph, and according to the actual structure of the power grid, real-time calculate the length, size, position, and line segment inflection point attributes of the graph element, automatically adjust, and finally form the power grid topology graph. 2.The power grid topology intelligent mapping method based on substation line and customer fusion data according to claim 1, characterized in that: The graph and number integration in step two further The method comprises the following steps: BB: The two-dimensional graph drawing in BA realizes the above functions mainly through the following steps: a) Querying the required line loss data according to the unit, the four-part type and the time; b) Returning the data returned by the query to the drawing component to generate a line loss data multi-dimensional array; c) Analyzing the date data stored in the line loss data array and generating a data date array; d) Automatically generating a coordinate system based on the mapping relationship between the line loss data and the date, and automatically drawing the graph elements in the coordinate system according to the date order through the two-dimensional graph drawing technology. 3.The power grid topology intelligent mapping method based on substation line and customer fusion data according to claim 1, characterized in that: The graph-number integration in step two further comprises the following steps: BC: The line loss intelligent board designed by taking the distribution line and the transformer area as the unit displays the corresponding line loss distribution and the standard reaching situation, can view the power details, can quickly find problems and locate the abnormality, realizes the monitoring of the distribution line and the transformer area line loss situation, and provides a practical data analysis tool for the distribution network and the low-voltage network line loss; BD: The line loss intelligent board designed by taking the distribution line and the transformer area as the unit in BC realizes the above functions mainly through the following steps: a) Querying the required power, line loss and abnormal data according to the unit, the equipment type and the time; b) Returning the power and line loss data returned by the query to the drawing component to generate a data multi-dimensional array; c) Analyzing the date data stored in the line loss data array and generating a data date array; d) Automatically generating a coordinate system based on the mapping relationship between the line loss data and the date, and automatically drawing the graph elements in the coordinate system according to the date order through the two-dimensional graph drawing technology; e) Returning the abnormal data returned by the query to the drawing component to generate an abnormal data array; f) Drawing an abnormal radar chart according to the proportion of the abnormal quantity in the total through the two-dimensional graph drawing technology.

4. The power grid topology intelligent mapping method based on substation line and customer fusion data according to claim 3, characterized in that: The graph-number integration in step two further comprises the following steps: BE: Relying on the comprehensive, automatic and real-time monitoring and analysis system, the system automatically scans and automatically diagnoses the files, models and abnormal power every day, realizes the comprehensive monitoring of the file, model and power access quality, quickly and accurately locates the abnormality, and provides an abnormal list, thereby providing strong support for abnormal rectification and management mechanism improvement; BF: The comprehensive, automatic and real-time monitoring and analysis system in BE realizes the above functions mainly through the following steps: a) Querying the abnormal data and the quantity of the corresponding time according to the unit and the time; b) Returning the abnormal data returned by the query to the drawing component to generate an abnormal statistical array; c) Analyzing the unit data stored in the abnormal array and generating a unit array; d) Reading the geographic boundary coordinate vector through the graph drawing component to generate a map in real time; e) Loading the abnormal statistical data to the map, and coloring the corresponding area according to the abnormal quantity of the area; f) Automatically sorting and drawing the graph according to the abnormal quantity to generate a ranking chart; BG: The system automatically analyzes and diagnoses the high loss, negative loss and collection failure abnormality of the 10kV line and the transformer area, locates the abnormal equipment and the meter, displays the associated data, and facilitates the line loss abnormality reason investigation of the grass-roots unit. BH: For the development, scheduling, inspection, marketing, each professional and partition, sub-pressure, sub-line, sub-area element dimensions of each index of assessment, through the graphical analysis of ranking, trends, proportion of a variety of data, intuitive display of assessment results.

5. The power grid topology intelligent mapping method based on substation line-to-house merging data according to any one of claims 1 to 4, characterized in that: The line loss monitoring adopts a line loss monitoring structure, which comprises a plurality of long annular detection packages (11) sleeved outside the cable (2) or integrally manufactured with the cable (2); the detection package (11) is a sealed structure, and is filled with a current variable liquid (17) inside; one side of the detection package (11) attached to the outer skin of the cable (2) is an attachment surface (12), or the outer skin of the cable (2) is directly used as the attachment surface (12); electrodes (13) are oppositely arranged in the detection package (11); one electrode (13) is attached to the attachment surface (12), and the other electrode (13) is attached to the opposite surface of the attachment surface (12) and grounded; a piezoelectric ceramic sheet (14) is further arranged in the detection package (11); the piezoelectric ceramic sheet (14) is electrically connected to a current inductor arranged outside; a controller detects the current size of the current inductor; in use, an ultrasonic wave is emitted to the detection package (11) through an ultrasonic wave generator, the ultrasonic wave drives the piezoelectric ceramic sheet (14) to resonate and deform, the two electrodes (13) are oppositely arranged in the detection package (11), and the piezoelectric ceramic sheet (14) is arranged in the middle of the detection package (11).

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