A power transmission construction model and data matching method and data acquisition system

Abstract

The application 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 engineering. Firstly, a construction area is framed on an electronic map on a data management terminal, the data management terminal is a tablet computer or a mobile phone, then a construction starting point, a construction ending point and a monitoring position of construction are marked on a base map of the construction area, and specific longitude and latitude coordinates of the construction starting point, the construction ending point and the monitoring position are automatically generated. The data acquisition system comprises a monitoring module, an alarm module and an inspection module, and a plurality of monitoring points are arranged. The monitoring module is arranged on the monitoring position, the monitoring module is in signal connection with the alarm module, the alarm module is suitable for alarming when a fault occurs in a corresponding area of a design model, and the inspection module is used for inspection of each part of model data and targeted checking and maintenance treatment of an alarm end after the alarm module alarms.

Description

TECHNICAL FIELD

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

[0002] The construction process of a power transmission line is generally complex, as it often involves field work and is influenced by various factors including topography, hydrology, meteorology and personnel transportation. Traditional line planning methods require line selection on a map and field survey, which is extremely difficult and labor-intensive.

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

[0004] For example, there is a lack of unified technical means for converting different types of data, which makes it impossible to establish a universally applicable evaluation standard. Only the construction cost is emphasized without fully considering disaster costs, which leads to insufficient estimation of subsequent disasters after construction is completed. There is a lack of effective algorithms to match three-dimensional models with monitoring data and express them uniformly, which is not conducive to quickly and intuitively reading information. SUMMARY

[0005] To solve the above problems in the prior art, the present application provides a method for matching a power transmission and transformation construction model with data and a data acquisition system.

[0006] To achieve the above purpose, the present application provides the following technical solutions:

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

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

[0009] Generating a base map according to the construction area, the base map marking the specific latitude and longitude coordinates of the construction start point, the construction end point and the monitoring position;

[0010] Constructing a three-dimensional geographic model using the detection data of an earth remote sensing satellite in combination with the base map, and establishing a plurality of construction paths on the three-dimensional geographic model by a shortest path algorithm, the start points of the plurality of construction paths being the construction start point and the end points being the construction end point;

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

[0012] The raw data collected within the standard ring area is imported into the GIS platform, and the cost influencing factors and disaster risk influencing factors are decomposed and reassembled to establish a cost evaluation index system and a risk evaluation index system.

[0013] The entropy weight method is used to assign weights to each indicator in the cost evaluation index system and the risk evaluation index system, and then the weights are superimposed in the GIS platform according to the corresponding weight coefficients to obtain the comprehensive construction cost surface and the comprehensive risk cost surface.

[0014] The construction cost surface and risk cost surface are synthesized to obtain the comprehensive cost surface of the transmission and transformation line. The comprehensive cost surface is then combined with the coordinate data of the standard point to form key-value pairs and stored in the database.

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

[0016] The disaster risk 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 cost of all the standard points on any one of the construction paths is calculated one by one. The cost influencing factors and disaster risk influencing factors for each standard point are also saved. The calculation steps include:

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

[0019]

[0020] Calculate the variability index:

[0021]

[0022] Calculate information entropy:

[0023]

[0024] Calculate the comprehensive index:

[0025]

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

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

[0028] Starting with the construction path that has the lowest overall construction cost, we select construction paths one by one upwards to form a set of cost paths. At the same time, starting with the construction path that has the lowest overall risk cost, we select construction paths one by one upwards to form a set of risk paths.

[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 on a cloud server.

[0031] The present invention has the following advantages:

[0032] The method for matching power transmission and transformation construction models and data disclosed in this invention can be used to construct a three-dimensional geographic model of the power transmission and transformation project construction based on the requirements of the required construction area. This model is achieved by collecting topographic data of the construction area via mobile internet and the Internet of Things, and combining this data with three-dimensional geographic data from cloud computing. The three-dimensional geographic model is then displayed on a data management terminal. During this process, the entropy weight method is used to process the data, and the comprehensive surface cost of each standard point along any construction path is calculated. After saving the cost influencing factors and disaster risk influencing factors for each standard point, they are marked on the three-dimensional geographic model. Based on this, comprehensive statistical analysis of the standard point data along a single construction path is performed. Compared with existing technologies, this method significantly improves data reliability and evaluates the cost and risk of the construction path, thereby making an optimal overall selection.

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

[0034] This invention discloses a data acquisition system that applies the power transmission and transformation construction model and data matching method described above, including a monitoring module, an alarm module, and an inspection module;

[0035] The monitoring module is installed at the monitoring location. The monitoring module is connected to the alarm module. The alarm module is adapted to trigger an alarm when a fault occurs in the corresponding area of ​​the design model.

[0036] The inspection module is used to inspect various parts of the model data and to perform targeted inspections and repairs on the alarm terminal after the alarm module sounds an alarm.

[0037] Specifically, once the 3D geographic model fully meets the construction requirements, it will be able to interface with an external digital management platform. The 3D geographic model data will be integrated with the platform, and corresponding monitoring equipment will be installed in the relevant construction areas. Construction will then be carried out based on the 3D geographic model data. During construction, the monitoring module, in conjunction with the external digital management platform and the 3D geographic model data, will control the construction area. The external digital management platform will display the specific situation at the construction site and verify it against the integrated 3D geographic model data. 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 process the site information through mobile internet, IoT, and big data. After summarizing the solutions, these solutions will be transmitted to the inspection station for repair. If the problem persists, the repair steps will be repeated. Once the problem is resolved, the external digital management platform will combine the solutions with the 3D geographic model data to optimize the 3D geographic model and address any 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 that are connected to the data processor via signals.

[0039] Furthermore, the alarm module is used for emergency alarm handling in the event of construction accidents at the construction site. Based on this, the external digital management platform is deployed in three levels through server, PC and mobile terminals.

[0040] Furthermore, the slope displacement sensor is electrically connected to the analysis module for the analysis and processing of data from the construction area. The settlement sensor is a device used to detect settlement in scenarios such as roads, bridges, and tunnels. By establishing a benchmark point and using its settlement data as baseline data, and then comparing the settlement data from other actual detection points with the benchmark data, it can be determined whether settlement has occurred at that actual detection point.

[0041] Furthermore, it also includes a data management terminal, which is connected to the cloud server. The data management terminal is adapted to download the three-dimensional geographic model from the cloud server and search for the corresponding key-value pairs in the database. The key-value pairs correspond to the 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 with a green line on the data management terminal, the standard point is marked with a blue dot on the data management terminal, and the coordinate data and comprehensive cost surface data are marked with red font on the standard point.

[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 sensor, water temperature sensor, camera, settlement sensor and slope displacement sensor connected by the data acquisition system, a relatively complete data chain is obtained. After being processed by the power transmission and transformation construction model and data matching method, it is transmitted to the cloud server and displayed on the data management terminal. Compared with the existing technology, it can be easily retrieved and identified by the engineers, so as to make quick judgments. Attached Figure Description

[0046] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0047] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

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

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

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

[0051] Figure 4 A flowchart for the standard point formation provided by this invention;

[0052] Figure 5 A flowchart for calculating construction costs provided by this invention;

[0053] Figure 6 A flowchart for calculating risk cost surface provided for this invention;

[0054] In the diagram: 1. Construction area; 2. Construction start point; 3. Construction end point; 4. Monitoring location; 5. Construction path; 6. Reference point; 7. Standard point. Detailed Implementation

[0055] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] Please refer to this as well. Figures 1-6 The method for matching power transmission and transformation construction models and data disclosed in this invention includes the following steps: First, the construction area 1 is selected on an electronic map on a data management terminal, which can be a tablet or mobile phone. Then, a base map is generated based on the planar map of the construction area 1, and the construction start point 2, construction end point 3, and monitoring location 4 are marked on the base map. At this point, the construction start point 2, construction end point 3, and monitoring location 4 are determined, and the specific latitude and longitude coordinates of the construction start point 2, construction end point 3, and monitoring location 4 are automatically generated on the base map.

[0057] Following this step, a 3D geographic model is constructed using Earth remote sensing satellite data and a base map. This 3D geographic model is then integrated with the rendered 3D geographic data using GIM full-process simulation software to create a real-world model. Several construction paths (5) are established on the 3D geographic model using a shortest path algorithm. All construction paths (5) start at construction start point (2) and end at construction end point (3). In this step, the elevation of construction start point (2), construction end point (3), and monitoring location (4) increases as the 3D geographic model is built to align with the terrain, data, and rating system.

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

[0059] In a specific embodiment of this invention, various types of sensors are used to collect raw data within a standard ring area, which is then imported into a GIS platform. During this process, cost-influencing factors and disaster risk-influencing factors are decomposed and reassembled to establish a cost evaluation index system and a risk evaluation index system. Based on this, an entropy weighting method is used to assign weights to each index in the cost evaluation index system and the risk evaluation index system. These weighted indices are then superimposed in the GIS platform according to their respective 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 for the transmission line. This comprehensive cost surface is then combined with the coordinate data of standard point 7. In this embodiment, all calculations are executed through a program deployed on a cloud server, and the resulting key-value pairs are stored in a database in a dictionary format. It should be noted that once the 3D geographic model fully meets the construction requirements, it will interface with an external digital management platform to deploy the data to the cloud server, enabling the data management terminal to perform add, delete, modify, and query operations in the database.

[0060] In some embodiments, specifically, after separating and reassembling cost influencing factors and disaster risk influencing factors, the 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, temperature, humidity, ground crack distance, settlement value, altitude, concrete temperature measurement records, and formwork deformation degree. In this embodiment, the indicators of cost influencing factors and disaster risk influencing factors can also be expanded according to specific needs and calculated along the same construction path 5 using the same indicator data. The data is processed using the entropy weight method.

[0061] Specifically, it is necessary to simultaneously calculate the comprehensive surface cost of all standard points 7 on any construction path 5, while saving the cost influencing factors and disaster risk influencing factors for each standard point 7. Finally, the construction cost surface and risk cost surface are synthesized. The calculation steps include:

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

[0063]

[0064] Calculate the variability index:

[0065]

[0066] Calculate information entropy:

[0067]

[0068] Calculate the comprehensive index:

[0069]

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

[0071] In this embodiment, the final step is to generate visualized data on the data management terminal. Specifically, the steps are as follows: First, starting from the construction path 5 with the lowest overall construction cost, select construction paths 5 one by one upwards to form a cost path set. At the same time, starting from the construction path 5 with the lowest overall risk cost, select construction paths 5 one by one upwards to form a risk path set. Then, take the intersection of the cost path set and the risk path set as the reference construction path 5.

[0072] Based on the same inventive concept, this invention also discloses a data acquisition system that applies the above-mentioned method for matching power transmission and transformation construction models with data. The system includes a monitoring module, an alarm module, and an inspection module. In this embodiment, there are several monitoring points at monitoring location 4, covering aspects such as personnel, materials, and transportation. The monitoring module at monitoring location 4 is connected to the alarm module via a signal link. The alarm module is suitable for triggering an alarm when a fault occurs in a corresponding area of ​​the design model. The inspection module is used for inspecting various parts of the model data and, after the alarm module sounds an alarm, performs targeted checks and maintenance on the alarm terminal.

[0073] It should be noted that corresponding monitoring modules are installed in the relevant construction areas. Based on the data from the 3D geographic model, the required construction areas can be processed. During the construction process, the monitoring equipment, together with the external digital management platform and the 3D geographic model data, can control the construction area. The external digital management platform displays the specific situation of the construction site and verifies it with the connected 3D geographic model data.

[0074] In the previous embodiment, the alarm module is used to handle emergency alarms in the event of a construction accident at the construction site. Based on this, the external digital management platform is deployed in three levels through the server, PC and mobile terminals.

[0075] In one specific embodiment of the present invention, the monitoring module includes a temperature sensor, a water temperature sensor, a camera, a settlement sensor, and a slope displacement sensor that are connected to the data processor via signals.

[0076] Specifically, the analysis module, electrically connected to the slope displacement sensor, is used for the analysis and processing of data from the construction area. The settlement sensor is a device used to detect settlement in scenarios such as roads, bridges, and tunnels. By establishing a benchmark point and using its settlement data as baseline data, and then comparing the settlement data from other actual detection points with the benchmark data, it can be determined whether settlement has occurred at those actual detection points. Slope engineering is a common and hazardous geotechnical engineering project. Under the influence of various forces and natural factors, landslides caused by slope instability and deformation frequently occur. Therefore, appropriate slope displacement sensors are needed for on-site slope monitoring. Currently, commonly used slope monitoring technologies include satellite measurement, close-range photogrammetry, and time-domain reflectometry. The analysis module is electrically connected to the processing unit and alarm module to provide feedback on environmental data from the construction site, serving as an early warning system. This research explores methods for achieving digital and visual management based on construction processes, construction elements, and management requirements; key technologies for developing a digital and intelligent construction platform for infrastructure sites that integrates intelligent control information research with 3D geographic data; and intelligent monitoring and data analysis for key operations based on mobile internet, IoT, and 3D geographic technologies, integrating environmental, water level, slope, settlement, concrete temperature, and formwork shape data into a 3D model.

[0077] When the on-site conditions conflict with the preset data of the 3D geographic model and cannot be resolved, the external digital management platform will analyze and process the on-site information through mobile internet, IoT, and big data. After summarizing the solutions, the solutions will be transmitted to the inspection module for repair. If the on-site conditions are still not resolved, the above repair steps will be repeated. After the on-site conditions are resolved, the external digital management platform will combine the solutions with the 3D geographic model data to optimize the 3D geographic model in order to cope with subsequent construction risks.

[0078] In some embodiments, a data management terminal is also included. The data management terminal is connected to a cloud server via a signal. The data management terminal is adapted to download a three-dimensional geographic model from the cloud server and search 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.

[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 comprehensive cost surface data are marked with red text on the standard point 7. In this embodiment, the data acquisition system, based on the method of matching the power transmission and transformation construction model with data, realizes interface design and optimization, and effectively manages the safety and quality modules of the project, thereby realizing the exploration of power transmission and transformation engineering applications, and subsequently realizing the digital handover and intelligent operation and maintenance of power transmission and transformation projects. By conducting project result testing and joint debugging to verify the effectiveness and practicality of the system and program, and selecting several projects at different stages for testing and application, the practical effect of the project results can be further improved.

[0080] Although the present invention has been described in detail above with general descriptions and specific embodiments, modifications or improvements can be made to it, which will be apparent to those skilled in the art. It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

Claims

1. A method for matching power transmission and transformation construction models with data, characterized in that, It comprises the following steps: Generate a base map according to the construction area (1), wherein the specific longitude and latitude coordinates of the construction starting point (2), the construction ending point (3) and the monitoring position (4) are marked on the base map; Construct a three-dimensional geographic model by using the detection data of the earth remote sensing satellite and combining the base map, and establish a plurality of construction paths (5) on the three-dimensional geographic model by the shortest path algorithm, wherein the starting points of the plurality of construction paths (5) are the construction starting point (2) and the ending points are the construction ending point (3); Construct a standard annular area with the coordinates of the monitoring position (4) as the origin, and take the two points where the edge of the annular area intersects with the construction path (5) as the reference points (6), calculate the midpoint of the two reference points (6), the midpoint is the standard point (7), record the longitude and latitude coordinates and the altitude of the standard point (7), and form the coordinate data; Import the original data collected in the standard annular area into the GIS platform, split and reassemble the cost influencing factors and disaster risk influencing factors to establish a cost evaluation index system and a risk evaluation index system; Determine the weight of each index in the cost evaluation index system and the risk evaluation index system by using the entropy weight method, and weight and superimpose according to the corresponding weight coefficients in the GIS platform to obtain a comprehensive construction cost surface and a comprehensive risk cost surface; Synthesize the construction cost surface and the risk cost surface to obtain a comprehensive cost surface of the power transmission and transformation line, combine the comprehensive cost surface with the coordinate data of the standard point (7), form a key-value pair, and store it in the database; the method for synthesizing the construction cost surface and the risk cost surface comprises the following steps: According to the construction path (5) with the lowest comprehensive construction cost surface as the starting point, select the construction path (5) upward one by one to form a cost path set, and at the same time, take the construction path (5) with the lowest comprehensive risk cost surface as the starting point, select the construction path (5) upward one by one to form a risk path set; Take the intersection of the cost path set and the risk path set as the reference construction path (5).

2. The method for matching the power transmission construction model and data according to claim 1, wherein: The cost influencing factors include personnel records, construction equipment procurement costs, material purchase records, transportation costs, monitoring equipment procurement costs, and electricity consumption records; The disaster risk influencing factors include water level, temperature, humidity, ground crack distance, settlement value, altitude, concrete temperature measurement record, and formwork deformation degree.

3. The method of matching power transmission construction models and data of claim 2, wherein, The data is processed by using the entropy weight method, and the comprehensive surface cost of all the standard points (7) on any one of the construction paths (5) is calculated one by one, and the cost influencing factors and the disaster risk influencing factors of each standard point (7) are saved, and the calculation steps comprise: Select the same type of data for normalization processing, and the processing formula is: ； Computing variability indicators: ; Computing the information entropy: ; The calculation of the comprehensive index: ; wherein, is the information proportion, is the information entropy value, is the surface cost, is the entropy model coefficient, is the same index data on the same construction path (5).

4. The method of matching power transmission construction models and data of claim 1, wherein: The three-dimensional geographic model and the database are deployed in a cloud server.

5. A data acquisition system applying the method for matching power transmission and transformation construction model and data according to claim 4, characterized in that, It comprises a monitoring module, an alarm module and a patrol module; The monitoring module is arranged on the monitoring position (4) and is signal connected with the alarm module, and the alarm module is adapted to alarm when a corresponding region of the design model fails; The inspection module is used for inspection of each part of model data and performs targeted inspection on the alarm end after the alarm module alarms and performs maintenance processing.

6. The data acquisition system of claim 5, wherein, The monitoring module comprises a temperature sensor, a water temperature sensor, a camera, a settlement sensor and a slope displacement sensor which are signal connected with the data processor.

7. The data acquisition system of claim 6, wherein, The data management terminal is signal connected with the cloud server, is adapted to download a three-dimensional geographic model from the cloud server, and finds a corresponding key-value pair in a database, the key-value pair corresponds to a standard point (7) of the three-dimensional geographic model and is displayed on the data management terminal.

8. The data acquisition system of claim 7, wherein, The data management terminal is a tablet computer or a mobile phone.

9. The data acquisition system of claim 8, wherein, A reference construction path (5) is marked on the data management terminal by a green line, the standard point (7) is marked on the data management terminal by a blue point, and coordinate data and comprehensive cost surface data are marked on the standard point (7) by red font.

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