Coordinate conversion system and method applied to multi-source heterogeneous geographic information

Abstract

The invention discloses a coordinate conversion system and method applied to multi-source heterogeneous geographic information, and relates to the technical field of coordinate conversion, the system comprises a coordinate conversion module, a real-time evaluation module, an accuracy evaluation module and a comprehensive performance grading evaluation module; the coordinate conversion module is used for receiving multi-source heterogeneous coordinate data and performing coordinate conversion by using a Boolean seven-parameter model and a Boolean four-parameter model; the real-time evaluation module analyzes a coordinate conversion real-time evaluation value of the coordinate conversion system through the real-time evaluation value; the accuracy evaluation module analyzes the coordinate conversion accuracy through the accuracy evaluation value; the comprehensive performance grading evaluation module comprehensively evaluates the coordinate conversion system through the comprehensive evaluation value; the effect of automatically evaluating the performance of the coordinate conversion model is achieved, and the problem that the coordinate conversion efficiency or precision is not matched with scene requirements due to the fact that the precision and the real-time performance of coordinate conversion cannot be flexibly adjusted and balanced is solved.

Description

Technical Field

[0001] This invention relates to the field of coordinate transformation technology, specifically to a coordinate transformation system and method for multi-source heterogeneous geographic information. Background Technology

[0002] With the continuous development of geographic information technology, various industries have generated massive amounts of multi-source heterogeneous geographic data. This data is usually stored in different formats and uses different coordinate systems. For example, the FileGeoDatabase format commonly used in ArcGIS software may contain data from multiple coordinate systems, such as local plane coordinate systems, geodetic coordinate systems, or spatial rectangular coordinate systems. To ensure the smooth implementation of coordinate system transformation projects, research has been conducted on high-precision cross-coordinate system coordinate transformation methods for multi-source heterogeneous geographic information data. However, current coordinate transformation technologies have certain problems. They lack automated quality inspection mechanisms, and transformation errors can easily lead to data quality issues. Furthermore, they lack the ability to flexibly adjust and balance the accuracy and real-time performance of coordinate transformation when facing different scenarios, resulting in a mismatch between the efficiency or accuracy of coordinate transformation and the requirements of the scenario. Summary of the Invention

[0003] The purpose of this invention is to provide a coordinate transformation system and method for multi-source heterogeneous geographic information, so as to solve the problems raised in the prior art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a coordinate transformation system for multi-source heterogeneous geographic information, the system comprising a coordinate transformation module, a real-time evaluation module, an accuracy evaluation module, and a comprehensive performance grading evaluation module; The coordinate transformation module is used to receive multi-source heterogeneous coordinate data, identify the original coordinate parameters and types, and perform coordinate transformation using the Bursa seven-parameter model and the four-parameter model. The real-time evaluation module is used to analyze the coordinate transformation real-time performance of the coordinate transformation system by analyzing the single delay duration and the number of transformation requests processed per unit time, and introducing a real-time evaluation value. The accuracy evaluation module is used to analyze the coordinate transformation accuracy of the coordinate transformation system by analyzing plane errors and introducing accuracy evaluation values. The comprehensive performance grading and evaluation module is used to comprehensively evaluate the performance of the coordinate transformation system through comprehensive evaluation values, quantify the real-time and accuracy requirements of different application scenarios of coordinate transformation, and dynamically adjust the weight of the calculated comprehensive evaluation value according to the scenario characteristics.

[0005] Furthermore, the coordinate transformation module includes a coordinate identification and classification unit, a coordinate transformation unit, and a transformation result output unit. The coordinate identification and classification unit receives multi-source heterogeneous geographic data and automatically analyzes and identifies the original coordinate system parameters, classifying the coordinates into large-scale three-dimensional coordinate types and local two-dimensional coordinate types. Large-scale three-dimensional coordinate types include coordinate systems with broad coverage, such as the WGS-84 coordinate system and the ITRF frame coordinate system, typically exceeding one hundred square kilometers, and containing three-dimensional coordinate information of planar position and elevation. Local two-dimensional coordinate types include local two-dimensional coordinates for engineering construction, independent urban planar coordinate systems, and local two-dimensional coordinates for surveying and mapping assistance, with smaller coordinate system coverage. Furthermore, the coordinate system includes planar location information; the distinction between the two types of coordinates is as follows: First, analyze whether the data includes third-dimensional parameters such as geodetic height (H), normal height, and altitude, or whether the coordinates are expressed as latitude and longitude plus elevation or in the form of (X, Y, Z), then it is directly determined to be a large-scale three-dimensional coordinate; if only (X, Y) planar coordinates are used to describe the location without any elevation-related data, it is initially determined to be a local two-dimensional coordinate; second, analyze whether the application coverage is cross-regional or ultra-wide-area; if the application scenario is global navigation, national land planning, cross-city railway construction, or transnational surveying, then it is a large-scale three-dimensional coordinate; if the application scenario is building construction, factory pipeline positioning, indoor navigation, or street surveying, then it is a local two-dimensional coordinate; The coordinate transformation unit uses the Bursa seven-parameter model to perform coordinate transformation on large-scale three-dimensional coordinate types and uses the four-parameter model to perform coordinate transformation on local two-dimensional coordinate types; the transformation result output unit is used to output the coordinate data after the transformation is completed.

[0006] Furthermore, the real-time evaluation module is used to calculate the comprehensive plane error based on the acquired single-axis error data, and set the highest threshold of the average comprehensive plane error to analyze whether the comprehensive plane error meets the standard. It also introduces an accuracy evaluation value to analyze the accuracy of the transformation result of the coordinate transformation model. The accuracy evaluation module introduces the real-time evaluation value of the coordinate transformation model and analyzes the real-time performance of the coordinate transformation model by the single delay duration and the number of transformation requests processed per unit time.

[0007] Furthermore, the comprehensive performance grading and evaluation module includes a scenario grading unit and a comprehensive evaluation unit; the scenario grading unit is used to grade the application scenarios of coordinate transformation according to the single transformation delay time, and set the weight of the real-time evaluation value in the comprehensive evaluation value according to the grading results; the comprehensive evaluation unit analyzes and evaluates the performance of the coordinate transformation model in accordance with the scenario registration through the comprehensive evaluation value of the coordinate transformation model, and determines whether the model needs to be optimized according to the analysis results.

[0008] A coordinate transformation method applied to multi-source heterogeneous geographic information, the method includes the following steps: S1. Collect the plane error value and residual value between the target coordinates and the source coordinates after coordinate transformation, and collect the single delay time and the number of queries per second of the coordinate transformation system; S2. By analyzing the plane error, an accuracy evaluation value is introduced to analyze the coordinate transformation accuracy of the coordinate transformation system; S3. By analyzing the single delay duration and the number of queries per second, a real-time evaluation value is introduced to analyze the real-time performance of the coordinate transformation system. S4. Introduce a comprehensive evaluation value to comprehensively evaluate the coordinate transformation system, quantify the real-time and accuracy requirements of different application scenarios of coordinate transformation, and dynamically adjust the weight of the comprehensive evaluation value according to the scenario characteristics.

[0009] Furthermore, in step S1: extract n single-axis errors from the output of the coordinate transformation model. And collect the actual delay time of the coordinate transformation model. And the number of conversion requests processed per unit of time, Q.

[0010] Furthermore, in step S2: the comprehensive plane error is calculated based on the acquired uniaxial error data using the following formula: ;in, The composite plane error is represented by i, where i represents the single-axis error and the composite plane error number, i = 1, 2, ..., n; This represents the single-axis error of the x-axis numbered i; This represents the single-axis error of the y-axis numbered i; This represents the single-axis error of the z-axis, numbered i. Set the highest threshold E for the mean of the comprehensive plane error. max This is used to analyze whether the overall plane error meets the standard; an accuracy evaluation value is introduced to analyze the accuracy of the transformation results of the coordinate transformation model. The accuracy evaluation value is calculated according to the following formula: ; Where P represents the accuracy assessment value of the coordinate transformation model.

[0011] Furthermore, in step S3: a real-time evaluation value for the coordinate transformation model is introduced, the real-time performance of the coordinate transformation model is analyzed, and the real-time evaluation value of the coordinate transformation model is calculated according to the following formula: ; Where W represents the real-time performance evaluation value of the coordinate transformation model; This indicates the number of conversion requests processed per unit of time. The maximum threshold for the delay time of the set coordinate transformation model.

[0012] Furthermore, the application scenarios of coordinate transformation are classified according to the single transformation delay duration, and the weight of the real-time evaluation value in the comprehensive evaluation value is set according to the classification results; a classification threshold for the single transformation delay duration is also set. and Analyze application scenario levels: like If the application scenario is determined to be a millisecond-level dynamic control scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f1. like If the application scenario is determined to be a second-level dynamic navigation and scheduling scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f2. like If the application scenario is determined to be a near real-time batch synchronization scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f3. The comprehensive evaluation value of the coordinate transformation model is calculated using the following formula: ; Where S represents the comprehensive evaluation value of the coordinate transformation model; This indicates the weight of the real-time evaluation value in the overall evaluation value, j=1,2,3; Set the minimum threshold S for the comprehensive evaluation value of the coordinate transformation model. min This was used to analyze the performance of the coordinate transformation model, and the analysis results are as follows: If S≥S min If the result is 0, it indicates that the coordinate transformation model has excellent overall performance and no parameter adjustment is required. If S min If the overall performance of the coordinate transformation model is low, a prompt will be generated to remind staff to increase the control points of the coordinate transformation model and optimize the model's computing power.

[0013] Compared with the prior art, the beneficial effects of the present invention are: ​This application improves the efficiency of coordinate transformation by first dividing coordinate data into large-scale 3D coordinate types and local 2D coordinate types during the transformation process. A Bursa-Bauer seven-parameter model is used for the large-scale 3D coordinate types, while a four-parameter model is used for the local 2D coordinate types. Furthermore, this application introduces accuracy and real-time performance evaluation values ​​for the coordinate transformation model, evaluating both the accuracy and real-time performance. Application scenarios are categorized into a third level based on latency, with each level assigned a corresponding real-time weight. The comprehensive evaluation value of the coordinate transformation model is analyzed using the weight values ​​adjusted according to the Gnu scenario level, achieving automatic performance evaluation of the coordinate transformation model. Performance includes the accuracy and real-time performance of the coordinate transformation results. This addresses the current lack of automated quality inspection mechanisms, which can easily lead to data quality issues due to transformation errors. It also solves the problem of not being able to flexibly adjust and balance the accuracy and real-time performance of coordinate transformations for different scenarios, resulting in a mismatch between the efficiency or accuracy of the coordinate transformation and the scenario requirements. Attached Figure Description

[0014] Figure 1 This is a schematic diagram of the coordinate transformation system of the present invention applied to multi-source heterogeneous geographic information; Figure 2 This is a schematic diagram of the method flow for the coordinate transformation method of the present invention applied to multi-source heterogeneous geographic information. Detailed Implementation

[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. 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.

[0016] like Figure 1 As shown, the present invention provides a technical solution for a coordinate transformation system for multi-source heterogeneous geographic information. The system includes a coordinate transformation module, a real-time evaluation module, an accuracy evaluation module, and a comprehensive performance grading evaluation module. The coordinate transformation module is used to receive multi-source heterogeneous coordinate data, identify the original coordinate parameters and types, and perform coordinate transformation using the Bursa seven-parameter model and the four-parameter model; The real-time evaluation module is used to analyze the coordinate transformation real-time performance of the coordinate transformation system by analyzing the single delay duration and the number of transformation requests processed per unit time, and introducing a real-time evaluation value. The accuracy evaluation module is used to analyze the coordinate transformation accuracy of the coordinate transformation system by analyzing plane errors and introducing accuracy evaluation values. The comprehensive performance grading and evaluation module is used to comprehensively evaluate the performance of the coordinate transformation system through comprehensive evaluation values, quantify the real-time and accuracy requirements of different application scenarios of coordinate transformation, and dynamically adjust the weight of the comprehensive evaluation value calculation according to the scenario characteristics.

[0017] The coordinate transformation module includes a coordinate identification and classification unit, a coordinate transformation unit, and a transformation result output unit. The coordinate identification and classification unit receives multi-source heterogeneous geographic data and automatically parses and identifies the original coordinate system parameters, classifying the coordinates into large-scale three-dimensional coordinate types and local two-dimensional coordinate types. The coordinate transformation unit uses the Bursa seven-parameter model to perform coordinate transformation on the large-scale three-dimensional coordinate types and uses the four-parameter model to perform coordinate transformation on the local two-dimensional coordinate types. The transformation result output unit is used to output the coordinate data after the transformation is completed.

[0018] The real-time evaluation module is used to calculate the comprehensive plane error based on the acquired single-axis error data, and sets the highest threshold for the average comprehensive plane error to analyze whether the comprehensive plane error meets the standard. It introduces an accuracy evaluation value to analyze the accuracy of the transformation results of the coordinate transformation model. The accuracy evaluation module introduces the real-time evaluation value of the coordinate transformation model and analyzes the real-time performance of the coordinate transformation model by the single delay time and the number of transformation requests processed per unit time.

[0019] The comprehensive performance grading and evaluation module includes a scenario grading unit and a comprehensive evaluation unit. The scenario grading unit is used to grade the application scenarios of coordinate transformation according to the single transformation delay time, and set the weight of the real-time evaluation value in the comprehensive evaluation value according to the grading results. The comprehensive evaluation unit analyzes and evaluates the performance of the coordinate transformation model in accordance with the scenario registration through the comprehensive evaluation value of the coordinate transformation model, and determines whether the model needs to be optimized based on the analysis results.

[0020] Coordinate transformation methods applied to multi-source heterogeneous geographic information, such as Figure 2 As shown, the method includes the following steps: S1. Collect the plane error value and residual value between the target coordinates and the source coordinates after coordinate transformation, and collect the single delay time and the number of queries per second of the coordinate transformation system; S2. By analyzing the plane error, an accuracy evaluation value is introduced to analyze the coordinate transformation accuracy of the coordinate transformation system; S3. By analyzing the single delay duration and the number of queries per second, a real-time evaluation value is introduced to analyze the real-time performance of the coordinate transformation system. S4. Introduce a comprehensive evaluation value to comprehensively evaluate the coordinate transformation system, quantify the real-time and accuracy requirements of different application scenarios of coordinate transformation, and dynamically adjust the weight of the comprehensive evaluation value according to the scenario characteristics.

[0021] In step S1: extract n single-axis errors from the output of the coordinate transformation model. And collect the actual delay time of the coordinate transformation model. And the number of conversion requests processed per unit of time, Q.

[0022] In step S2: the composite plane error is calculated based on the acquired uniaxial error data using the following formula: ;in, The composite plane error is represented by i, where i represents the single-axis error and the composite plane error number, i = 1, 2, ..., n; This represents the single-axis error of the x-axis numbered i; This represents the single-axis error of the y-axis numbered i; This represents the single-axis error of the z-axis, numbered i. Set the highest threshold E for the mean of the comprehensive plane error. max This is used to analyze whether the overall plane error meets the standard; an accuracy evaluation value is introduced to analyze the accuracy of the transformation results of the coordinate transformation model. The accuracy evaluation value is calculated according to the following formula: ; Where P represents the accuracy assessment value of the coordinate transformation model.

[0023] In step S3: The real-time evaluation value of the coordinate transformation model is introduced, and the real-time performance of the coordinate transformation model is analyzed. The real-time evaluation value of the coordinate transformation model is calculated according to the following formula: ; Where W represents the real-time performance evaluation value of the coordinate transformation model; This indicates the number of conversion requests processed per unit of time. The maximum threshold for the delay time of the set coordinate transformation model.

[0024] The application scenarios of coordinate transformation are classified according to the single transformation delay duration, and the weight of the real-time evaluation value in the comprehensive evaluation value is set according to the classification results; a classification threshold for the single transformation delay duration is also set. and Analyze application scenario levels: like If the application scenario is determined to be a millisecond-level dynamic control scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f1. like If the application scenario is determined to be a second-level dynamic navigation and scheduling scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f2. like If the application scenario is determined to be a near real-time batch synchronization scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f3. The comprehensive evaluation value of the coordinate transformation model is calculated using the following formula: ; Where S represents the comprehensive evaluation value of the coordinate transformation model; This indicates the weight of the real-time evaluation value in the overall evaluation value, j=1,2,3; Set the minimum threshold S for the comprehensive evaluation value of the coordinate transformation model. min This was used to analyze the performance of the coordinate transformation model, and the analysis results are as follows: If S≥S min If the result is 0, it indicates that the coordinate transformation model has excellent overall performance and no parameter adjustment is required. If S min If the overall performance of the coordinate transformation model is low, a prompt will be generated to remind staff to increase the control points of the coordinate transformation model and optimize the model's computing power.

[0025] Example 1: In step S1: extract n single-axis errors {(0.012, 0.015, 0.01), (0.012, 0.012, 0.01), (0.012, 0.01, 0.01)} from the output of the coordinate transformation model; and collect the actual delay time ∆t=50ms and the number of transformation requests processed per unit time Q=1200 times / s of the coordinate transformation model.

[0026] In step S2: the composite plane error is calculated based on the acquired uniaxial error data using the following formula: ;in, The combined plane error is represented by , where i represents the single-axis error and the combined plane error number; E1=0.0217; E2=0.0197; E3=0.0185; Set the highest threshold E for the mean of the comprehensive plane error. max =0.03m, used to analyze whether the overall plane error meets the standard; an accuracy evaluation value is introduced to analyze the accuracy of the coordinate transformation model's transformation results, calculated according to the following formula: ; Where P represents the accuracy assessment value of the coordinate transformation model; the calculated value is P=0.6.

[0027] In step S3: The real-time evaluation value of the coordinate transformation model is introduced, and the real-time performance of the coordinate transformation model is analyzed. The real-time evaluation value of the coordinate transformation model is calculated according to the following formula: ; ​Where W represents the real-time performance evaluation value of the coordinate transformation model; Q0 = 1000 times / s represents the number of transformation requests processed per unit time; ∆t max =100ms is the maximum threshold for the set coordinate transformation model delay time; W=0.85 is calculated.

[0028] The application scenarios of coordinate transformation are classified according to the single transformation delay duration, and the weight of the real-time evaluation value in the comprehensive evaluation value is set according to the classification results; the classification thresholds for single transformation delay duration are set as ∆t1=100ms and ∆t2=1s, and the application scenario levels are analyzed: like If the application scenario is determined to be a millisecond-level dynamic control scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f1=0.8; like If the application scenario is determined to be a second-level dynamic navigation and scheduling scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f2=0.5; like If the application scenario is determined to be a near real-time batch synchronization scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f3=0.3; The comprehensive evaluation value of the coordinate transformation model is calculated using the following formula: ; Where S represents the comprehensive evaluation value of the coordinate transformation model; The value represents the weight of the real-time evaluation value in the overall evaluation value, j=1,2,3; based on the judgment that t<∆t1, then S=0.65; Set the minimum threshold S for the comprehensive evaluation value of the coordinate transformation model. min =0.6, used to analyze the performance of the coordinate transformation model. The analysis results are as follows: Then S≥S min If the result is 0, it indicates that the coordinate transformation model has excellent overall performance and no parameter adjustment is required.

[0029] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A coordinate transformation system applied to multi-source heterogeneous geographic information, characterized in that: The system includes a coordinate transformation module, a real-time evaluation module, an accuracy evaluation module, and a comprehensive performance grading evaluation module; The coordinate transformation module is used to receive multi-source heterogeneous coordinate data, identify the original coordinate parameters and types, and perform coordinate transformation using the Bursa seven-parameter model and the four-parameter model. The real-time evaluation module is used to analyze the coordinate transformation real-time performance of the coordinate transformation system by analyzing the single delay duration and the number of transformation requests processed per unit time, and introducing a real-time evaluation value. The accuracy evaluation module is used to analyze the coordinate transformation accuracy of the coordinate transformation system by analyzing plane errors and introducing accuracy evaluation values. The comprehensive performance grading and evaluation module is used to comprehensively evaluate the performance of the coordinate transformation system through comprehensive evaluation values, quantify the real-time and accuracy requirements of different application scenarios of coordinate transformation, and dynamically adjust the weight of the calculated comprehensive evaluation value according to the scenario characteristics.

2. The coordinate transformation system for multi-source heterogeneous geographic information according to claim 1, characterized in that: The coordinate transformation module includes a coordinate identification and classification unit, a coordinate transformation unit, and a transformation result output unit. The coordinate identification and classification unit receives multi-source heterogeneous geographic data and automatically parses and identifies the original coordinate system parameters, classifying the coordinates into large-scale three-dimensional coordinate types and local two-dimensional coordinate types. The coordinate transformation unit uses the Bursa seven-parameter model to perform coordinate transformation on the large-scale three-dimensional coordinate types and uses the four-parameter model to perform coordinate transformation on the local two-dimensional coordinate types. The transformation result output unit outputs the coordinate data after the transformation is completed.

3. The coordinate transformation system for multi-source heterogeneous geographic information according to claim 1, characterized in that: The real-time evaluation module is used to calculate the comprehensive plane error based on the acquired single-axis error data, and set the highest threshold of the average comprehensive plane error to analyze whether the comprehensive plane error meets the standard. It also introduces an accuracy evaluation value to analyze the accuracy of the transformation result of the coordinate transformation model. The accuracy evaluation module introduces the real-time evaluation value of the coordinate transformation model and analyzes the real-time performance of the coordinate transformation model by the single delay time and the number of transformation requests processed per unit time.

4. The coordinate transformation system for multi-source heterogeneous geographic information according to claim 1, characterized in that: The comprehensive performance grading and evaluation module includes a scenario grading unit and a comprehensive evaluation unit. The scenario grading unit is used to grade the application scenarios of coordinate transformation according to the single transformation delay time, and set the weight of the real-time evaluation value in the comprehensive evaluation value according to the grading results. The comprehensive evaluation unit analyzes and evaluates the performance of the coordinate transformation model in accordance with the scenario registration through the comprehensive evaluation value of the coordinate transformation model, and determines whether the model needs to be optimized based on the analysis results.

5. A coordinate transformation method applied to multi-source heterogeneous geographic information, characterized in that: The method includes the following steps: S1. Collect the plane error value and residual value between the target coordinates and the source coordinates after coordinate transformation, and collect the single delay time and the number of queries per second of the coordinate transformation system; S2. By analyzing the plane error, an accuracy evaluation value is introduced to analyze the coordinate transformation accuracy of the coordinate transformation system; S3. By analyzing the single delay duration and the number of queries per second, a real-time evaluation value is introduced to analyze the real-time performance of the coordinate transformation system. S4. Introduce a comprehensive evaluation value to comprehensively evaluate the coordinate transformation system, quantify the real-time and accuracy requirements of different application scenarios of coordinate transformation, and dynamically adjust the weight of the comprehensive evaluation value according to the scenario characteristics.

6. The coordinate transformation method for multi-source heterogeneous geographic information according to claim 5, characterized in that: In step S1: extract n single-axis errors from the output of the coordinate transformation model. And collect the actual delay time of the coordinate transformation model. And the number of conversion requests processed per unit of time, Q.

7. The coordinate transformation method for multi-source heterogeneous geographic information according to claim 6, characterized in that: In step S2: the composite plane error is calculated based on the acquired uniaxial error data using the following formula: ;in, The composite plane error is represented by i, where i represents the single-axis error and the composite plane error number, i = 1, 2, ..., n; This represents the single-axis error of the x-axis numbered i; This represents the single-axis error of the y-axis numbered i; This represents the single-axis error of the z-axis, numbered i. Set the highest threshold E for the mean of the comprehensive plane error. max This is used to analyze whether the overall plane error meets the standard; an accuracy evaluation value is introduced to analyze the accuracy of the transformation results of the coordinate transformation model. The accuracy evaluation value is calculated according to the following formula: ； Where P represents the accuracy assessment value of the coordinate transformation model.

8. The coordinate transformation method for multi-source heterogeneous geographic information according to claim 6, characterized in that: In step S3: The real-time evaluation value of the coordinate transformation model is introduced, and the real-time performance of the coordinate transformation model is analyzed. The real-time evaluation value of the coordinate transformation model is calculated according to the following formula: ； Where W represents the real-time performance evaluation value of the coordinate transformation model; This indicates the number of conversion requests processed per unit of time. The maximum threshold for the delay time of the set coordinate transformation model.

9. The coordinate transformation method for multi-source heterogeneous geographic information according to claim 8, characterized in that: The application scenarios of coordinate transformation are classified according to the single transformation delay duration, and the weight of the real-time evaluation value in the comprehensive evaluation value is set according to the classification results; a classification threshold for the single transformation delay duration is also set. and Analyze application scenario levels: like If the application scenario is determined to be a millisecond-level dynamic control scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f1. like If the application scenario is determined to be a second-level dynamic navigation and scheduling scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f2. like If the application scenario is determined to be a near real-time batch synchronization scenario, then the weight of the real-time evaluation value in the comprehensive evaluation value is set to f3. The comprehensive evaluation value of the coordinate transformation model is calculated using the following formula: ； Where S represents the comprehensive evaluation value of the coordinate transformation model; This indicates the weight of the real-time evaluation value in the overall evaluation value, j=1,2,3; Set the minimum threshold S for the comprehensive evaluation value of the coordinate transformation model. min This was used to analyze the performance of the coordinate transformation model, and the analysis results are as follows: If S≥S min If the result is 0, it indicates that the coordinate transformation model has excellent overall performance and no parameter adjustment is required. If S min If the overall performance of the coordinate transformation model is low, a prompt will be generated to remind staff to increase the control points of the coordinate transformation model and optimize the model's computing power.​

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