Convenient statistical evaluation system for planar absolute position accuracy based on software environment

Abstract

The application discloses a plane absolute position precision convenient statistical evaluation system based on a software environment, through the setting of a data extraction unit and a position comparison unit, a data model is constructed by combining a topographic map and a virtual space rectangular coordinate system, then the position of a ground object point is marked and distance calculation and slope ratio calculation are carried out, and whether the mathematical precision of the topographic map meets the requirements is determined through preliminary comparison, the evaluation work efficiency of the topographic map is improved, and the accuracy of the topographic map evaluation is improved, through the setting of an error analysis unit and a comprehensive evaluation unit, error analysis and calculation are carried out on the distance between field surveying and mapping data and the ground object points in the data model or the slope of the ground object points, and the error times generated are counted, quantitative calculation of the satisfaction degree of the topographic map is carried out by using the comprehensive evaluation unit, the problem of low work efficiency in quantitative evaluation of the topographic map drawn under the software environment is solved, and the evaluation efficiency and the persuasiveness of the evaluation result are improved.

Description

Technical Field

[0001] The present invention relates to a statistical evaluation method, in particular to a convenient statistical evaluation system for plane absolute position accuracy based on a software environment. Background Art

[0002] After more than a decade of stable development, CASS software has achieved a highly mature market and technology. Its users span the country, encompassing surveying and mapping, land, planning, real estate, municipal administration, environmental protection, geology, transportation, water conservancy, electricity, mining, and related industries, and have received unanimous praise from users. Breaking with the traditional cartographic model, CASS combines its extensive experience in mapping and data storage to achieve truly integrated data mapping and database construction. It simultaneously meets the needs of topographic and cadastral mapping professionals and GIS database construction, reducing duplication of work. Data production, graphics processing, and database construction are all handled in one step.

[0003] Topographic mapping is performed in the CASS software environment. Elevation data is extracted from the software's coordinate system and used to plot positions and contour lines. Finally, the final topographic map is obtained by trimming the graphics. However, errors are inevitable in the topographic mapping process, and the magnitude of these errors directly affects the quality of the map. Therefore, statistical evaluation of the absolute position accuracy of the planes mapped by the software is particularly important. To this end, we propose a convenient statistical evaluation system for the absolute position accuracy of planes within the software environment. Summary of the Invention

[0004] The purpose of the present invention is to provide a convenient statistical evaluation system for plane absolute position accuracy based on a software environment.

[0005] The object of the present invention can be achieved by the following technical solutions: a convenient statistical evaluation system for plane absolute position accuracy based on a software environment, comprising a data extraction unit, a position comparison unit, an error analysis unit, a data storage unit and a comprehensive evaluation unit;

[0006] The data storage unit stores field survey data, which includes primary feature position data, secondary feature position data, and corresponding primary feature position slopes and secondary feature position slopes, wherein both the primary feature position data and the secondary feature position data are calibrated using plane coordinates and elevation data;

[0007] The data extraction unit is used to extract the completed topographic map from the software environment and perform position construction, and import the virtual spatial rectangular coordinate system and the data model constructed jointly by the topographic map into the position comparison unit, wherein the topographic map is drawn by the drawing software based on the elevation data model downloaded from the network. The elevation data model is a digital simulation of the ground terrain using limited terrain elevation data. It is a physical ground model that represents the ground elevation in the form of a set of ordered numerical arrays. It is a branch of the digital terrain model. Various other terrain characteristic values ​​can be derived from it to describe the spatial distribution of linear and nonlinear combinations of various geomorphological factors including elevation, such as slope, aspect, slope change rate, etc.

[0008] The position comparison unit is used to compare the data model constructed by the data extraction unit with the field surveying data, and transmit the actual calculated distance, actual distance, main feature position slope, secondary feature position slope, slope ratio data and number of unqualified times to the data storage unit, and transmit the re-production signal to the data extraction unit. When the data extraction unit receives the re-production signal, it emits an audible and visual prompt;

[0009] The error analysis unit is used to perform error calculation and analysis on the topographic map, obtain the number of exceeded distance errors, the number of exceeded slope ratio errors and the error curve trend chart and transmit them to the comprehensive evaluation unit;

[0010] The comprehensive evaluation unit analyzes the trend of the error curve according to the trend graph to determine whether the curve trend is an upward trend or a downward trend. A trend evaluation conversion factor is preset in the comprehensive evaluation unit. When the trend is an upward trend, the trend evaluation conversion factor is assigned a value of A with a negative sign. When the trend is a downward trend, the trend evaluation conversion factor is assigned a value of B with a positive sign. The value is substituted into the calculation formula θ=100-(CZT*α+CJT*β+CPT*γ)*e together with the number of times the distance error is exceeded and the number of times the slope ratio error is exceeded. -趋势评价转化因子 The topographic map satisfaction θ is obtained from the above equation, where α represents the weight factor of re-creation, β represents the weight factor of distance deviation, γ represents the weight factor of slope ratio deviation, and e represents a natural constant in mathematics.

[0011] A further technical improvement of the present invention is that the specific steps of the data extraction unit for location construction are as follows:

[0012] Step S21: establishing a virtual spatial rectangular coordinate system, obtaining terrain length data, terrain width data, and height difference data in the terrain map, and determining the measurements of the X-axis, Y-axis, and Z-axis based on the terrain length data, terrain width data, and height difference data;

[0013] Step S22: Select any point on the terrain boundary of the topographic map as a reference point, coincide the reference point with the coordinate origin of the virtual spatial rectangular coordinate system, randomly select several main feature positions and several secondary feature positions on the terrain boundary of the topographic map, mark them, and mark them as main boundary feature points and secondary boundary feature points, respectively, wherein the distance between any two feature points is greater than a preset distance;

[0014] Step S23: A given height interval is preset in the data extraction unit, and integer multiples of the given height interval are sequentially selected as the data extraction height. Several main feature positions and several secondary feature positions are randomly selected in the plane where the obtained data extraction height is located, and are marked and calibrated as plane main feature points and plane secondary feature points, wherein the distance between any two feature points is greater than the preset distance;

[0015] Step S24: Select the upper and lower adjacent points of the main boundary feature points, the secondary boundary feature points, the main plane feature points, and the secondary plane feature points. The data extraction unit is preset with an extreme value of the adjacent distance. The distance between the adjacent points on both sides and the random point on the boundary is less than the extreme value of the adjacent distance. The coordinates of the adjacent points on both sides are obtained, and the slope ratio data of the line segment connecting the adjacent points on both sides are calculated based on their coordinates.

[0016] A further technical improvement of the present invention is that the specific operation of the position comparison unit is:

[0017] Step S31: acquiring field survey data from a data storage unit, marking the primary feature data in the field survey data as ZPi, and marking the secondary feature data in the field survey data as CPj, where i represents the sequence number of the selected primary feature position, j represents the sequence number of the selected secondary feature position, and both i and j are positive integers;

[0018] Step S32: Mark the boundary main feature points and plane main feature points in the data model constructed by the data extraction unit as MZPa, and mark the boundary secondary feature points and plane secondary feature points as MZPb, where a represents the sequence number of the selected main feature points, b represents the sequence number of the selected secondary feature points, and both a and b are positive integers;

[0019] Step S33: The main boundary feature points, main plane feature points, minor boundary feature points, and minor plane feature points marked in step S32 are mixed, and then an even number of feature points are randomly selected from the mixed points for pairing. The coordinates of the even number of feature points are obtained from the data model, and the distance on the map between the two paired feature points is calculated. The actual calculated distance is then calculated based on the scale of the topographic map.

[0020] Step S34: filtering out the field survey data of the even number of corresponding ground object points in the last step from the primary ground object data and the secondary ground object data marked in step S31, and calculating the actual distance of the corresponding ground object points matched with each other according to the longitude and latitude coordinates and the altitude data in the corresponding field survey data;

[0021] Step S35: comparing the actual calculation distance with the actual distance, if the actual calculation distance between all the paired ground object points is greater than or less than the corresponding actual distance, determining that the size proportion of the topographic map is unqualified, comparing the slope ratio data of the corresponding ground object points with the corresponding primary ground object position slope or the corresponding secondary ground object position slope, when the slope ratio data is greater than or less than the corresponding primary ground object position slope and the secondary ground object position slope, determining that the topographic map contour line is unqualified, when the topographic map size proportion is unqualified or the topographic map contour line is unqualified, generating a re-production signal and a counter, and counting the number of unqualified times and marking it as CZT, and adding one to the original number of unqualified times every time the re-production signal appears once.

[0022] Further technical improvements of the present application are as follows:

[0023] Step S41: extracting the actual calculation distance, the actual distance, the primary ground object position slope, the secondary ground object position slope, the slope ratio data and the number of unqualified times from the data storage unit;

[0024] Step S42: calculating the difference between the corresponding actual calculation distance and the actual distance and taking the absolute value of the calculation result to obtain the distance absolute difference value, comparing the distance absolute difference value with the distance deviation limit value preset in the error analysis unit, when the distance absolute difference value is less than or equal to the distance deviation limit value, determining that it is within the allowable error range and not performing any processing, when the distance absolute difference value is greater than the distance deviation limit value, determining that it exceeds the allowable error range and starting the counter to count the number of distance error times and marking it as CJT;

[0025] Step S43: performing the ratio operation on the primary ground object position slope, the secondary ground object position slope and the corresponding slope ratio data, then performing the difference operation on the ratio operation result and 1 and taking the absolute value to obtain the slope ratio absolute difference value, the error analysis unit is preset with a slope ratio deviation limit value, when the slope ratio absolute difference value is less than or equal to the slope ratio deviation limit value, determining that it is within the allowable error range and not performing any processing, when the slope ratio absolute difference value is greater than the slope ratio deviation limit value, determining that it exceeds the allowable error range and starting the counter to count the number of slope ratio error times CPT;

[0026] Step S44: Calculate the average values ​​of the absolute difference in distance and the absolute difference in slope ratio respectively, and arrange the average value data generated by drawing the terrain map several times in chronological order, and draw an error curve trend chart with time as the horizontal axis and the average value as the vertical axis.

[0027] Compared with the prior art, the present invention has the following beneficial effects:

[0028] 1. When the present invention is in use, the data extraction unit extracts the drawn topographic map from the software environment and constructs the position, imports the data model jointly constructed by the virtual spatial rectangular coordinate system and the topographic map into the position comparison unit, and the position comparison unit compares the data model constructed by the data extraction unit with the field surveying and mapping data, and transmits the actual calculated distance, actual distance, main feature position slope, secondary feature position slope, slope ratio data and number of unqualified times to the data storage unit, and transmits the re-production signal to the data extraction unit. When the data extraction unit receives the re-production signal, it emits an audible and visual prompt. Through the settings of the data extraction unit and the position comparison unit, the topographic map and the virtual spatial rectangular coordinate system are combined to construct a data model, and then the positions of the feature points are marked and the distance and slope ratio are calculated. Through preliminary comparison, it is determined whether the mathematical accuracy of the topographic map meets the requirements, thereby improving the efficiency of the evaluation of the topographic map and the persuasiveness of the data. At the same time, the quality of the topographic map is preliminarily checked, and the accuracy of the evaluation of the topographic map is improved.

[0029] 2. The error analysis unit calculates and analyzes the error of the topographic map, obtains the number of exceeded distance errors, the number of exceeded slope errors and the error curve trend chart, and transmits them to the comprehensive evaluation unit. The comprehensive evaluation unit analyzes the error curve trend chart to see whether the curve trend is an upward trend or a downward trend, and substitutes the trend evaluation conversion factor together with the number of exceeded distance errors and the number of exceeded slope errors into the topographic map satisfaction score. The final evaluation of the topographic map generated in the software environment is obtained by setting the error analysis unit and the comprehensive evaluation unit, and the distance between the field surveying data and the feature points in the data model or the slope of the feature points themselves is analyzed and calculated. At the same time, the number of errors generated is counted, and the comprehensive evaluation unit is used to quantitatively calculate the satisfaction of the topographic map, which solves the problem of difficulty in quantitatively evaluating the topographic maps drawn in the software environment and improves the evaluation efficiency and the persuasiveness of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] To facilitate understanding by those skilled in the art, the present invention is further described below with reference to the accompanying drawings.

[0031] Figure 1 This is a system block diagram of the present invention. DETAILED DESCRIPTION

[0032] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments. Obviously, the embodiments described are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0033] See also Figure 1 As shown, a convenient statistical evaluation system for plane absolute position accuracy based on a software environment includes a data extraction unit, a position comparison unit, an error analysis unit, a data storage unit and a comprehensive evaluation unit;

[0034] The data storage unit stores field survey data, the field survey data including primary feature position data, secondary feature position data, and corresponding primary feature position slopes and secondary feature position slopes, wherein both the primary feature position data and the secondary feature position data are calibrated using latitude and longitude coordinates and altitude data;

[0035] The data extraction unit is used to extract the completed topographic map from the software environment and perform position construction, and import the virtual spatial rectangular coordinate system and the data model constructed jointly by the topographic map into the position comparison unit, wherein the topographic map is drawn by the drawing software based on the elevation data model downloaded from the network. The elevation data model is a digital simulation of the ground terrain using limited terrain elevation data. It is a physical ground model that represents the ground elevation in the form of a set of ordered numerical arrays. It is a branch of the digital terrain model. Various other terrain characteristic values ​​can be derived from it to describe the spatial distribution of linear and nonlinear combinations of various geomorphological factors including elevation, such as slope, aspect, slope change rate, etc.

[0036] The position comparison unit is used to compare the data model constructed by the data extraction unit with the field surveying data, and transmit the actual calculated distance, actual distance, main feature position slope, secondary feature position slope, slope ratio data and number of unqualified times to the data storage unit, and transmit the re-production signal to the data extraction unit. When the data extraction unit receives the re-production signal, it emits an audible and visual prompt;

[0037] The error analysis unit is used to perform error calculation and analysis on the topographic map, obtain the number of exceeded distance errors, the number of exceeded slope ratio errors and the error curve trend chart and transmit them to the comprehensive evaluation unit;

[0038] The comprehensive evaluation unit analyzes the trend of the error curve according to the trend graph to determine whether the curve trend is an upward trend or a downward trend. A trend evaluation conversion factor is preset in the comprehensive evaluation unit. When the trend is an upward trend, the trend evaluation conversion factor is assigned a value of A with a negative sign. When the trend is a downward trend, the trend evaluation conversion factor is assigned a value of B with a positive sign. The value is substituted into the calculation formula θ=100-(CZT*α+CJT*β+CPT*γ)*e together with the number of times the distance error is exceeded and the number of times the slope ratio error is exceeded. -趋势评价转化因子 The topographic map satisfaction θ is obtained from the above equation, where α represents the weight factor of re-creation, β represents the weight factor of distance deviation, γ represents the weight factor of slope ratio deviation, and e represents a natural constant in mathematics.

[0039] The specific steps of the data extraction unit for location construction are as follows:

[0040] Step S21: establishing a virtual spatial rectangular coordinate system, obtaining terrain length data, terrain width data, and height difference data in the terrain map, and determining the measurements of the X-axis, Y-axis, and Z-axis based on the terrain length data, terrain width data, and height difference data;

[0041] Step S22: Select any point on the terrain boundary of the topographic map as a reference point, coincide the reference point with the coordinate origin of the virtual spatial rectangular coordinate system, randomly select several main feature positions and several secondary feature positions on the terrain boundary of the topographic map, mark them, and mark them as main boundary feature points and secondary boundary feature points, respectively, wherein the distance between any two feature points is greater than a preset distance;

[0042] Step S23: A given height interval is preset in the data extraction unit, and integer multiples of the given height interval are sequentially selected as the data extraction height. Several main feature positions and several secondary feature positions are randomly selected in the plane where the obtained data extraction height is located, and are marked and calibrated as plane main feature points and plane secondary feature points, wherein the distance between any two feature points is greater than the preset distance;

[0043] Step S24: Select the upper and lower adjacent points of the main boundary feature points, the secondary boundary feature points, the main plane feature points, and the secondary plane feature points. The data extraction unit is preset with an extreme value of the adjacent distance. The distance between the adjacent points on both sides and the random point on the boundary is less than the extreme value of the adjacent distance. The coordinates of the adjacent points on both sides are obtained, and the slope ratio data of the line segment connecting the adjacent points on both sides are calculated based on their coordinates.

[0044] The specific operations of the position comparison unit are as follows:

[0045] Step S31: obtaining the field survey data from the data storage unit, marking the main ground object data in the field survey data as ZPi, and marking the secondary ground object data in the field survey data as CPj, wherein i represents the sequential number of the selected main ground object position, j represents the sequential number of the selected secondary ground object position, and i and j are both positive integers;

[0046] Step S32: marking the boundary main ground object points and the plane main ground object points in the data model constructed by the data extraction unit as MZPa, and marking the boundary secondary ground object points and the plane secondary ground object points MZPb therein, wherein a represents the sequential number of the selected main ground object point, b represents the sequential number of the selected secondary ground object point, and a and b are both positive integers;

[0047] Step S33: mixing the boundary main ground object points, the plane main ground object points, the boundary secondary ground object points and the plane secondary ground object points marked in step S32, then randomly extracting an even number of ground object points therefrom for pairwise matching, obtaining the coordinates of the even number of ground object points from the data model, calculating the on-map distance between the two ground object points matched with each other, and calculating the actual calculation distance according to the scale of the topographic map;

[0048] Step S34: screening the field survey data of the even number of corresponding ground object points in the last step from the main ground object data and the secondary ground object data marked in step S31, and calculating the actual distance of the corresponding ground object points matched with each other according to the longitude and latitude coordinates and the altitude data in the corresponding field survey data;

[0049] Step S35: comparing the actual calculation distance with the actual distance, if the actual calculation distance between all the matched ground object points is greater than or less than the corresponding actual distance, determining that the size scale of the topographic map is unqualified, comparing the slope ratio data of the corresponding ground object points with the corresponding main ground object position slope or the corresponding secondary ground object position slope, when the slope ratio data is greater than or less than the corresponding main ground object position slope and the secondary ground object position slope, determining that the topographic map contour line is unqualified, when the size scale of the topographic map is unqualified or the topographic map contour line is unqualified, generating a re-production signal, and generating a counter to count the number of unqualified times and mark it as CZT, and increasing the number of unqualified times by one every time the re-production signal appears.

[0050] Further technical improvements of the present application are as follows:

[0051] Step S41: extracting the actual calculation distance, the actual distance, the main ground object position slope, the secondary ground object position slope, the slope ratio data and the number of unqualified times from the data storage unit;

[0052] Step S42: Calculate the difference between the corresponding actual calculated distance and the actual distance and take the absolute value of the calculation result to obtain the absolute distance difference. Compare the absolute distance difference with the distance deviation limit preset in the error analysis unit. When the absolute distance difference is less than or equal to the distance deviation limit, it is determined to be within the allowable error range and no processing is performed. When the absolute distance difference is greater than the distance deviation limit, it is determined to be beyond the allowable error range, and a counter is started to count the number of times the distance error is exceeded and marked as CJT.

[0053] Step S43: performing a ratio operation on the slope of the primary feature position, the slope of the secondary feature position, and the corresponding slope ratio data, then performing a difference operation on the ratio operation result and 1 and taking the absolute value to obtain the slope ratio absolute difference. The error analysis unit is preset with a slope ratio deviation limit. When the slope ratio absolute difference is less than or equal to the slope ratio deviation limit, it is determined to be within the allowable error range and no processing is performed. When the slope ratio absolute difference is greater than the slope ratio deviation limit, it is determined to be beyond the allowable error range and a counter is started to count the number of times the slope ratio error is exceeded (CPT).

[0054] Step S44: Calculate the average values ​​of the absolute difference in distance and the absolute difference in slope ratio respectively, and arrange the average value data generated by drawing the terrain map several times in chronological order, and draw an error curve trend chart with time as the horizontal axis and the average value as the vertical axis.

[0055] Working principle: When the present invention is in use, first, the data extraction unit extracts the drawn topographic map from the software environment and constructs the position, and imports the virtual spatial rectangular coordinate system and the data model jointly constructed by the topographic map into the position comparison unit. The position comparison unit compares the data model constructed by the data extraction unit with the field surveying data, and transmits the actual calculated distance, actual distance, main feature position slope, secondary feature position slope, slope ratio data and number of unqualified times to the data storage unit, and transmits the re-production signal to the data extraction unit. When the data extraction unit receives the re-production signal, it emits an audible and visual prompt. The error analysis unit performs error calculation and analysis on the topographic map, obtains the number of distance error exceeds, the number of slope ratio error exceeds and the error curve trend chart and transmits them to the comprehensive evaluation unit. The comprehensive evaluation unit analyzes the curve trend as an upward trend or a downward trend according to the error curve trend chart, and substitutes the trend evaluation conversion factor together with the number of distance error exceeds and the number of slope ratio error exceeds into the calculation formula of the topographic map satisfaction θ to obtain the final evaluation of the topographic map generated in the software environment.

[0056] In the description of the present invention, it should be understood that the terms "upper", "lower", "left", "right" and the like indicate directions or positional relationships based on the directions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific direction, and a specific direction structure and operation, and therefore, cannot be understood as limiting the present invention. In addition, "first" and "second" are only for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0057] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they may refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal communication between two components. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on the specific circumstances.

[0058] The above is a detailed description of an embodiment of the present invention. However, the content described is only a preferred embodiment of the present invention and should not be considered to limit the scope of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A convenient statistical evaluation system for plane absolute position accuracy based on a software environment, characterized by: It includes a data extraction unit, a position comparison unit, an error analysis unit, a data storage unit and a comprehensive evaluation unit; The data extraction unit is used to extract the drawn topographic map from the software environment and perform position construction, import the data model constructed by the virtual spatial rectangular coordinate system and the topographic map into the position comparison unit, the position comparison unit is used to compare the data model constructed by the data extraction unit with the field surveying and mapping data, and transmit the actual calculated distance, actual distance, main feature position slope, secondary feature position slope, slope ratio data and the number of unqualified times to the data storage unit, and transmit the re-production signal to the data extraction unit. When the data extraction unit receives the re-production signal, it emits an audible and visual prompt; The error analysis unit is used to perform error calculation and analysis on the topographic map, obtain the number of exceeded distance errors, the number of exceeded slope ratio errors and the error curve trend chart, and transmit them to the comprehensive evaluation unit. The comprehensive evaluation unit analyzes the curve trend according to the error curve trend chart to determine whether it is an upward trend or a downward trend. A trend evaluation conversion factor is preset in the comprehensive evaluation unit. When it is an upward trend, the trend evaluation conversion factor is assigned a value of A with a negative sign. When it is a downward trend, the trend evaluation conversion factor is assigned a value of B with a positive sign. The value is substituted into the calculation formula θ=100-(CZT*α+CJT*β+CPT*γ)*e together with the number of exceeded distance errors and the number of exceeded slope ratio errors. -趋势评价转化因子 The topographic map satisfaction θ is obtained, where α represents the re-creation influence weight factor, β represents the distance deviation influence weight factor, γ represents the slope ratio deviation influence weight factor, and e represents a natural constant in mathematics; The position comparison unit performs mixed pairing of the marked major boundary feature points, major plane feature points, minor boundary feature points, and minor plane feature points, and obtains the actual calculated distance between the two paired feature points, selects the field surveying data of an even number of corresponding feature points in the previous step, obtains the actual distance of the corresponding feature points that match each other, compares the actual calculated distance with the actual distance, and generates a re-production signal when the size ratio of the topographic map or the contour line of the topographic map is unqualified, and generates a counter to count the number of unqualified times and mark it as CZT. Whenever the re-production signal appears, the original number of unqualified times is increased by one. The error analysis unit calculates the difference between the corresponding actual calculated distance and the actual distance and takes the absolute value of the calculation result to obtain the absolute distance difference, compares the absolute distance difference with the distance deviation limit preset in the error analysis unit, obtains the number of times the distance error is exceeded and marks it as CJT, and simultaneously performs a ratio operation on the slope of the main feature position and the slope of the secondary feature position with the corresponding slope ratio data, then performs a difference operation between the ratio operation result and 1 and takes the absolute value to obtain the slope ratio absolute difference, and simultaneously obtains the number of times the slope ratio error is exceeded CPT; The average values ​​of the absolute difference in distance and the absolute difference in slope ratio are calculated respectively, and the average value data generated by drawing the topographic map several times are arranged in chronological order, and an error curve trend chart is drawn with time as the horizontal axis and the average value as the vertical axis.

2. The convenient statistical evaluation system for plane absolute position accuracy based on software environment according to claim 1 is characterized in that: The data extraction unit generates a data model by establishing a virtual spatial rectangular coordinate system and combining the topographic map with the spatial rectangular coordinate system. Several main feature positions and several secondary feature positions are randomly selected in the data model for marking, and are calibrated as plane main feature points and plane secondary feature points, and their slope ratio data are calculated.

3. The convenient statistical evaluation system for plane absolute position accuracy based on software environment according to claim 1 is characterized in that: The data storage unit stores field surveying data, which includes primary feature position data, secondary feature position data, and corresponding primary feature position slopes and secondary feature position slopes. Both the primary feature position data and the secondary feature position data are calibrated using plane coordinates and elevation data.

Images