Power transmission and transformation construction model and data matching method and data acquisition system

Abstract

The invention discloses a power transmission and transformation construction model and data matching method and a data acquisition system, and belongs to the technical field of power grid power transmission and transformation projects. Firstly, a construction area is selected on an electronic map on a data management terminal, and the data management terminal is a tablet personal computer or a mobile phone; marking a construction starting point, a construction terminal point and a monitoring position of construction on the base map of the construction area, and automatically generating specific longitude and latitude coordinates of the construction starting point, the construction terminal point and the monitoring position; the data acquisition system comprises a monitoring module, an alarm module and an inspection module, a plurality of monitoring points are arranged, the monitoring module is arranged at the monitoring position, the monitoring module is in signal connection with the alarm module, and the alarm module is suitable for giving an alarm when a fault occurs in a corresponding area of the design model. And the inspection module is used for inspecting each part of the model data, and performing targeted inspection and maintenance processing on the alarm end after the alarm module gives an alarm.

Description

Technical Field

[0001] The present invention relates to the technical field of power transmission and transformation engineering of power grids, and in particular to a method for matching a power transmission and transformation construction model with data and a data acquisition system. Background Art

[0002] The construction process of power transmission lines is generally complicated. Since field work is often required, it involves a variety of influencing factors including topography, hydrology, meteorology, and personnel transportation. Traditional line planning methods require line selection on maps and field surveys, which are extremely difficult and labor-intensive.

[0003] At present, although GIS technology can be used as the main means of spatial acquisition and management, and the optimal path algorithm can be used to optimize the selection of transmission lines, there are still some problems that need to be solved in practical applications.

[0004] For example, the lack of unified technical means for converting different types of data has made it impossible to establish a universally applicable evaluation standard; the simple emphasis on construction costs without fully taking disaster costs into account has led to insufficient estimates of subsequent disasters after construction is completed; and the lack of effective algorithms to match three-dimensional models with monitoring data and express them in a unified manner is not conducive to quick and intuitive reading of information. Summary of the invention

[0005] To this end, the present invention provides a method for matching a power transmission and transformation construction model with data and a data acquisition system to solve the problems existing in the above-mentioned prior art.

[0006] In order to achieve the above object, the present invention provides the following technical solutions:

[0007] According to a first aspect of the present invention,

[0008] The present invention discloses a method for matching a power transmission and transformation construction model with data, comprising the following steps:

[0009] Generate a base map based on the construction area, wherein the base map is marked with specific longitude and latitude coordinates of the construction starting point, construction end point and monitoring location;

[0010] Using detection data from earth remote sensing satellites and combining with the base map to construct a three-dimensional geographic model, establishing a number of construction paths on the three-dimensional geographic model using a shortest path algorithm, and the starting points of the several construction paths are all the construction starting points, and the end points are all the construction end points;

[0011] A standard annular area is constructed with the coordinates of the monitoring position as the origin, and two points where the edge of the annular area intersects with the construction path are used as reference points, the midpoint of the two reference points is calculated, and the midpoint is used as the standard point. The longitude and latitude coordinates and the altitude of the standard point are recorded to form coordinate data;

[0012] Importing the original data collected in the standard annular area into the GIS platform, splitting and reinstalling the cost influencing factors and the disaster risk influencing factors, and thereby establishing a cost evaluation index system and a risk evaluation index system;

[0013] The entropy weight method is used to assign a value to each indicator in the cost evaluation index system and the risk evaluation index system, and weighted superposition is performed in the GIS platform according to the corresponding weight coefficients to obtain a comprehensive construction cost surface and a comprehensive risk cost surface;

[0014] The construction cost surface and the risk cost surface are synthesized to obtain a comprehensive cost surface of the power transmission and transformation line, and the comprehensive cost surface is combined with the coordinate data of the standard point to form a key-value pair and store it in a database.

[0015] Further, the cost influencing factors include personnel records, construction equipment procurement costs, material procurement records, transportation costs, monitoring equipment procurement costs, and electricity usage records;

[0016] The disaster risk influencing factors include water level, temperature, humidity, distance of ground cracks, settlement value, altitude, concrete temperature measurement records and degree of formwork deformation.

[0017] Furthermore, the entropy weight method is used to process the data, and the comprehensive surface costs of all the standard points on any of the construction paths are calculated one by one, and the cost influencing factors and disaster risk influencing factors of each standard point are saved. The calculation steps include:

[0018] Select the same type of data for normalization processing, the processing formula is:

[0019]

[0020] Calculate the variability index:

[0021]

[0022] Calculate information entropy:

[0023]

[0024] Calculate the composite index:

[0025]

[0026] Among them, P ij is the information weight, e j is the information entropy value, S i is the comprehensive surface cost, k is the entropy model coefficient, where (x j ......x nj ) are the same indicator data on the same construction path.

[0027] Furthermore, the method for synthesizing the construction cost surface and the risk cost surface comprises the following steps:

[0028] Taking the construction path with the lowest comprehensive construction cost surface as the starting point, the construction paths are selected upward one by one to form a cost path set. At the same time, taking the construction path with the lowest comprehensive risk cost surface as the starting point, the construction paths are selected upward one by one to form a risk path set.

[0029] The intersection of the cost path set and the risk path set is taken as the reference construction path.

[0030] Furthermore, the three-dimensional geographic model and database are deployed in a cloud server.

[0031] The present invention has the following advantages:

[0032] By using the method for matching the power transmission and transformation construction model and data disclosed in the present invention, the topographic data of the required construction area can be collected through the mobile Internet and the Internet of Things according to the power transmission and transformation engineering requirements of the required construction area, and the three-dimensional geographic data in the cloud computing can be used to construct a three-dimensional geographic model of the power transmission and transformation engineering construction, and the three-dimensional geographic model can be displayed on the data management terminal. In this process, the entropy weight method is used to process the data, and the comprehensive surface cost of the standard points on any of the construction paths is calculated one by one. After saving the cost influencing factors and disaster risk influencing factors of each standard point, it is marked on the three-dimensional geographic model. On this basis, the standard point data on a single construction path is comprehensively counted. Compared with the existing technology, the reliability of the data can be significantly improved, and the cost and risk of the construction path can be evaluated, thereby making the optimal choice as a whole.

[0033] According to a second aspect of the present invention,

[0034] The present invention discloses a data acquisition system, which applies the above-mentioned power transmission and transformation construction model and data matching method, and includes a monitoring module, an alarm module and a patrol module;

[0035] The monitoring module is arranged at the monitoring position, the monitoring module is connected to the alarm module by signal, and the alarm module is adapted to give an alarm when a fault occurs in the corresponding area of ​​the design model;

[0036] The inspection module is used for inspecting each part of the model data and for carrying out targeted inspection and maintenance on the alarm end after the alarm module alarms.

[0037] Specifically, when the three-dimensional geographic model fully meets the construction requirements, it will be able to connect with the external digital management platform, connect the three-dimensional geographic model data with the external digital management platform, install corresponding monitoring equipment in the corresponding construction area, and carry out construction processing on the required construction area according to the three-dimensional geographic model. During the construction process, the monitoring module cooperates with the external digital management platform and the three-dimensional geographic model data to control the construction area, and the external digital management platform displays the specific situation of the construction site and verifies it with the connected three-dimensional geographic model data. When the construction site situation conflicts with the preset three-dimensional geographic model data and cannot be resolved, the external digital management platform analyzes and calculates the on-site information through mobile Internet, Internet of Things, and big data, and after summarizing the solution, transmits the solution to the inspection office for repair processing. When the construction site situation is still not resolved, repeat the above repair steps. After the construction site situation is resolved, the external digital management platform combines the solution with the three-dimensional geographic model data to optimize the three-dimensional geographic model to deal with subsequent construction hazards.

[0038] Furthermore, the monitoring module includes a temperature sensor, a water temperature sensor, a camera, a settlement sensor, and a slope displacement sensor which are connected to the data processor signal.

[0039] Furthermore, the alarm module is used to handle emergency alarms when construction accidents occur at the construction site. On this basis, the external digital management platform implements three-level deployment through the server, PC, and mobile terminals.

[0040] Furthermore, the slope displacement sensor is electrically connected to the analysis module for analysis and processing of construction area data. Among them, the settlement sensor is a device for detecting settlement conditions in scenes such as roads, bridges, and tunnels. By setting up a reference point and taking the settlement data of the reference point as the reference data, and then comparing the settlement data of other actual detection points with the reference data, it can be determined whether the actual detection point has settled.

[0041] Furthermore, it also includes a data management terminal, which is signal-connected to the cloud server. The data management terminal is suitable for downloading a three-dimensional geographic model from the cloud server and searching for corresponding key-value pairs in a database. The key-value pairs correspond to standard points of the three-dimensional geographic model and are displayed on the data management terminal.

[0042] Furthermore, the data management terminal is a tablet computer or a mobile phone.

[0043] Furthermore, the reference construction path is marked on the data management terminal with a green line, the standard point is marked on the data management terminal with a blue dot, and the coordinate data and the integrated cost surface data are marked on the standard point with a red font.

[0044] The present invention has the following advantages:

[0045] In this technical solution, the data acquisition system is deployed in the construction area according to the monitoring points, and the deployment method is relatively flexible. At the same time, through the temperature sensors, water temperature sensors, cameras, settlement sensors, and slope displacement sensors connected to the data acquisition system, a relatively complete data chain is obtained. After being processed by the power transmission and transformation construction model and the data matching method, it is transmitted to the cloud server and displayed on the data management terminal. Compared with the existing technology, it is convenient for engineering personnel to quickly retrieve and identify, so as to make quick judgments. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the implementation methods of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the implementation methods or the description of the prior art. Obviously, the drawings in the following description are only exemplary, and for ordinary technicians in this field, other implementation drawings can be derived from the provided drawings without creative work.

[0047] The structures, proportions, sizes, etc. illustrated in this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with the technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantial technical significance. Any structural modification, change in proportion or adjustment of size shall still fall within the scope of the technical contents disclosed in the present invention without affecting the effects and purposes that can be achieved by the present invention.

[0048] Figure 1 A schematic diagram of the construction area provided by the present invention;

[0049] Figure 2 A schematic diagram of standard point marking provided by the present invention;

[0050] Figure 3 A schematic diagram of a three-dimensional geographic model provided by the present invention;

[0051] Figure 4 A flow chart of standard point formation provided by the present invention;

[0052] Figure 5 A flow chart of the surface for calculating construction cost provided by the present invention;

[0053] Figure 6 A flow chart for calculating the risk cost surface provided by the present invention;

[0054] In the figure: 1 construction area; 2 construction starting point; 3 construction end point; 4 monitoring position; 5 construction path; 6 reference point; 7 standard point. DETAILED DESCRIPTION

[0055] The following is a description of the implementation of the present invention by specific embodiments. People familiar with the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0056] Please refer to Figure 1-Figure 6 The method for matching the power transmission and transformation construction model with data disclosed in the present invention includes the following steps: first, a construction area 1 is selected on an electronic map on a data management terminal, and the data management terminal is a tablet computer or a mobile phone, and then a base map is generated according to a plane map of the construction area 1, and a construction starting point 2, a construction end point 3, and a monitoring position 4 of the construction are marked on the base map. At this time, the construction starting point 2, the construction end point 3, and the monitoring position 4 are determined, and the specific longitude and latitude coordinates of the construction starting point 2, the construction end point 3, and the monitoring position 4 are automatically generated in the base map.

[0057] After this step, the detection data of the earth remote sensing satellite is used in combination with the base map to build a three-dimensional geographic model, and the three-dimensional geographic model and the three-dimensional geographic data are rendered and integrated into a real scene model through the GIM full-process simulation software. Several construction paths 5 are established on the three-dimensional geographic model through the shortest path algorithm, and the starting points of the several construction paths 5 are all construction starting points 2, and the end points are all construction end points 3. In this step, the construction starting point 2, the construction end point 3 and the monitoring position 4 will increase their altitudes as the three-dimensional geographic model is established, so that they can be combined with the terrain and data and the rating system.

[0058] In this embodiment, the method of matching the transmission and transformation construction model with data will process the position of the monitoring position 4 by taking the coordinates of the monitoring position 4 as the monitoring point, and constructing a standard annular area with the monitoring point as the origin. The size of this annular area will be based on the density of the monitoring points in the unit construction area 1. In principle, the more monitoring points there are, the more accurate the natural fitting effect will be. Furthermore, the two points where the edge of the annular area intersects with the construction path 5 are taken as reference points 6, the midpoints of the two reference points 6 are calculated, and the midpoints are standard points 7. The longitude and latitude coordinates and altitude of the standard point 7 are recorded to form position data.

[0059] In a specific embodiment disclosed by the present invention, various types of sensors are set up in the standard annular area to collect raw data, and the raw data is imported into the GIS platform. In this process, the cost influencing factors and disaster risk influencing factors are split and reinstalled to establish a cost evaluation index system and a risk evaluation index system. On this basis, the entropy weight method is used to assign weights for each indicator in the cost evaluation index system and the risk evaluation index system, and weighted superposition is performed in the GIS platform according to the corresponding weight coefficients to obtain a comprehensive construction cost surface and a comprehensive risk cost surface. Finally, the construction cost surface and the risk cost surface are synthesized to obtain a comprehensive cost surface of the transmission and transformation line, and the comprehensive cost surface is combined with the coordinate data of the standard point 7. In this embodiment, all calculation processes are executed by a program deployed on the cloud server, and the key-value pairs formed thereby will be stored in the database in the form of a dictionary. It should be noted that when the three-dimensional geographic model fully meets the construction requirements, it will be connected to the external digital management platform, so that the data is deployed to the cloud server, so that the data management terminal can add, delete, modify and query in the database.

[0060] In some embodiments, specifically, after the cost influencing factors and disaster risk influencing factors are split and reassembled, the relevant cost influencing factors will include personnel records, construction equipment procurement costs, material purchase records, transportation costs, monitoring equipment procurement costs and electricity consumption records, while the disaster risk influencing factors include water level height, temperature, humidity, ground crack distance, settlement value, altitude, concrete temperature measurement records and formwork deformation degree. In this embodiment, the indicators of the relevant cost influencing factors and disaster risk influencing factors can also be expanded according to specific needs, and calculated along the same construction path 5 with the same indicator data, and the processed data is processed using the entropy weight method.

[0061] Specifically, it is necessary to calculate the comprehensive surface costs of all standard points 7 on any construction path 5 one by one, and save the cost influencing factors and disaster risk influencing factors of each standard point 7 at the same time, and finally synthesize the construction cost surface and the risk cost surface. The calculation steps include:

[0062] Select the same type of data for normalization processing, the processing formula is:

[0063]

[0064] Calculate the variability index:

[0065]

[0066] Calculate information entropy:

[0067]

[0068] Calculate the composite index:

[0069]

[0070] Among them, P ij is the information weight, e j is the information entropy value, S i is the comprehensive cost surface, k is the entropy model coefficient, (x 1j ......x nj ) are the same indicator data on the same construction path 5.

[0071] In this embodiment, it is finally necessary to form visualized data on the data management terminal. The specific steps are as follows: first, starting from the construction path 5 with the lowest comprehensive construction cost surface, construction paths 5 are selected one by one upward to form a cost path set. At the same time, starting from the construction path 5 with the lowest comprehensive risk cost surface, construction paths 5 are selected one by one upward to form a risk path set. Then, the intersection of the cost path set and the risk path set is taken as the reference construction path 5.

[0072] Based on the same inventive concept, the present invention also discloses a data acquisition system, which applies the above-proposed method for matching the power transmission and transformation construction model with data, including a monitoring module, an alarm module and an inspection module. In this embodiment, there are several monitoring points at the monitoring position 4, including personnel, materials, transportation and many other aspects. Through the monitoring module set at the monitoring position 4, the monitoring module is connected with the alarm module signal, and the alarm module is suitable for alarming when a fault occurs in the corresponding area of ​​the design model. The inspection module is used for inspection of various parts of the model data and performs targeted inspection and maintenance on the alarm end after the alarm module alarms.

[0073] It should be noted that corresponding monitoring modules are installed in the corresponding construction areas, and the required construction areas can be processed according to the data of the three-dimensional geographic model. During the construction process, the monitoring equipment can cooperate with the external digital management platform and the three-dimensional geographic model data to control the construction area, while the external digital management platform displays the specific conditions of the construction site and verifies it with the connected three-dimensional geographic model data.

[0074] In the previous embodiment, the alarm module is used to handle emergency alarms when construction accidents occur at the construction site. On this basis, the external digital management platform implements three-level deployment through the server, PC, and mobile terminals.

[0075] In a specific embodiment disclosed in the present invention, the monitoring module includes a temperature sensor, a water temperature sensor, a camera, a settlement sensor, and a slope displacement sensor which are connected to the data processor signal.

[0076] Specifically, the analysis module electrically connected to the slope displacement sensor is used for analysis and processing of construction area data. Among them, the settlement sensor is a device that detects the settlement of roads, bridges, tunnels and other scenes. By setting up a reference point and taking the settlement data of the reference point as the reference data, and then comparing the settlement data of other actual detection points with the reference data, it can be known whether the actual detection point has settled. Slope engineering is a common dangerous geotechnical engineering project. Under the influence of various forces and natural factors, landslide disasters caused by slope instability and deformation often occur. Therefore, corresponding slope displacement sensors are needed to monitor the slope on-site. Currently, commonly used slope monitoring technologies include satellite measurement, close-range photogrammetry, time domain reflectometry, etc.; the analysis module is electrically connected to the processing unit and the alarm module respectively to feedback the environmental data of the construction site, which plays an early warning role. Research on the digitalization and visualization of management based on construction processes, construction elements and management requirements; research on key technologies for the development of digital smart construction platforms for infrastructure sites that integrate three-dimensional geographic results; research on the integration of environment, water level, slope, settlement, concrete temperature and formwork shape in three-dimensional models based on mobile Internet, Internet of Things technology and three-dimensional geographic technology to conduct intelligent monitoring and data analysis and early warning of key operations;

[0077] When the construction site situation conflicts with the preset 3D geographic model data and cannot be resolved, the external digital management platform will analyze and calculate the on-site information through the mobile Internet, the Internet of Things, and big data, and after summarizing the solution, transmit the solution to the inspection module for repair. If the construction site situation is still not resolved, repeat the above repair steps. After the construction site situation is resolved, the external digital management platform will combine the solution with the 3D geographic model data to optimize the 3D geographic model to deal with subsequent construction hazards.

[0078] In some embodiments, a data management terminal is also included. The data management terminal is connected to the cloud server signal. The data management terminal is suitable for downloading the three-dimensional geographic model from the cloud server and searching for corresponding key-value pairs in the database. The key-value pairs correspond to the standard point 7 of the three-dimensional geographic model and are displayed on the data management terminal.

[0079] In some embodiments, on the data management terminal, the reference construction path 5 is marked with a green line, the standard point 7 is marked with a blue dot, and the coordinate data and the comprehensive cost surface data are marked with a red font on the standard point 7. In this embodiment, the data acquisition system realizes interface design and optimization based on the method of matching the power transmission and transformation construction model with data, and effectively controls the safety and quality modules of the project, thereby realizing the exploration of power transmission and transformation engineering applications, and then realizing the digital handover and intelligent operation and inspection of the power transmission and transformation project, as well as the digital handover and intelligent operation and inspection functions. Thus, the project results test and joint debugging are carried out to verify the effectiveness and practicality of the system and program, and select several projects at different stages for test application, which can further improve the practical effect of the project results.

[0080] Although the present invention has been described in detail above with general descriptions and specific embodiments, it is obvious to those skilled in the art that some modifications or improvements can be made to it based on the present invention. It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

Claims

1. A method for matching a power transmission and transformation construction model with data, characterized in that: The following steps are involved: Generate a base map according to the construction area (1), wherein the base map is marked with specific longitude and latitude coordinates of the construction starting point (2), the construction end point (3) and the monitoring position (4); Using detection data from earth remote sensing satellites and combining it with the base map to construct a three-dimensional geographic model, a number of construction paths (5) are established on the three-dimensional geographic model using a shortest path algorithm, and the starting points of the number of construction paths (5) are all the construction starting points (2) and the end points are all the construction end points (3); A standard annular area is constructed with the coordinates of the monitoring position (4) as the origin, and two points where the edge of the annular area intersects with the construction path (5) are used as reference points (6), the midpoint of the two reference points (6) is calculated, and the midpoint is the standard point (7), and the longitude and latitude coordinates and altitude of the standard point (7) are recorded to form coordinate data; Importing the original data collected in the standard annular area into the GIS platform, splitting and reinstalling the cost influencing factors and the disaster risk influencing factors, and thereby establishing a cost evaluation index system and a risk evaluation index system; The entropy weight method is used to assign a value to each indicator in the cost evaluation index system and the risk evaluation index system, and weighted superposition is performed in the GIS platform according to the corresponding weight coefficients to obtain a comprehensive construction cost surface and a comprehensive risk cost surface; The construction cost surface and the risk cost surface are synthesized to obtain a comprehensive cost surface of the power transmission and transformation line, and the comprehensive cost surface is combined with the coordinate data of the standard point (7) to form a key-value pair which is stored in a database.

2. The method for matching a power transmission and transformation construction model with data according to claim 1, characterized in that: The cost influencing factors include personnel records, construction equipment procurement costs, material procurement records, transportation costs, monitoring equipment procurement costs and electricity consumption records; The disaster risk influencing factors include water level, temperature, humidity, distance of ground cracks, settlement value, altitude, concrete temperature measurement records and degree of formwork deformation.

3. The method for matching a power transmission and transformation construction model with data as claimed in claim 2, characterized in that: The entropy weight method is used to process the data, and the comprehensive surface costs of all the standard points (7) on any one of the construction paths (5) are calculated one by one, and the cost influencing factors and disaster risk influencing factors of each standard point (7) are saved. The calculation steps include: Select the same type of data for normalization processing, the processing formula is: Calculate the variability index: Calculate information entropy: Calculate the composite index: Among them, P ij is the information weight, e j is the information entropy value, S i is the surface cost, k is the entropy model coefficient, (x 1j ……x nj ) are the same indicator data on the same construction path (5).

4. The method for matching a power transmission and transformation construction model with data as claimed in claim 3, characterized in that: The method for synthesizing the construction cost surface and the risk cost surface comprises the following steps: Taking the construction path (5) with the lowest comprehensive construction cost surface as the starting point, the construction paths (5) are selected upward one by one to form a cost path set. At the same time, taking the construction path (5) with the lowest comprehensive risk cost surface as the starting point, the construction paths (5) are selected upward one by one to form a risk path set. The intersection of the cost path set and the risk path set is taken as the reference construction path (5).

5. The method for matching a power transmission and transformation construction model with data as claimed in claim 4, characterized in that: The three-dimensional geographic model and database are deployed in a cloud server.

6. A data acquisition system, using the method for matching the power transmission and transformation construction model with data as claimed in claim 5, characterized in that: Including monitoring module, alarm module and inspection module; The monitoring module is arranged at the monitoring position (4), the monitoring module is connected to the alarm module by signal, and the alarm module is suitable for alarming when a fault occurs in the corresponding area of ​​the design model; The inspection module is used for inspecting each part of the model data and for carrying out targeted inspection and maintenance on the alarm end after the alarm module alarms.

7. The data acquisition system according to claim 6, characterized in that: The monitoring module includes a temperature sensor, a water temperature sensor, a camera, a settlement sensor, and a slope displacement sensor which are connected to the data processor signal.

8. The design-based power transmission and transformation engineering construction system according to claim 7, characterized in that: It also includes a data management terminal, which is connected to the cloud server by signal. The data management terminal is suitable for downloading the three-dimensional geographic model from the cloud server and searching for corresponding key-value pairs in the database. The key-value pairs correspond to the standard points (7) of the three-dimensional geographic model and are displayed on the data management terminal.

9. The design-based power transmission and transformation engineering construction system according to claim 8, characterized in that: The data management terminal is a tablet computer or a mobile phone.

10. The design-based power transmission and transformation engineering construction system according to claim 9, characterized in that: The reference construction path (5) is marked on the data management terminal with a green line, the standard point (7) is marked on the data management terminal with a blue dot, and the coordinate data and the integrated cost surface data are marked on the standard point (7) with a red font.

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