Geographic information survey calibration method and system

Abstract

The invention relates to the technical field of geographic information survey, and particularly discloses a geographic information survey calibration method and system, and the method specifically comprises the following steps: 1, obtaining survey data of a to-be-surveyed geographic region, and carrying out the analysis and calculation to obtain a change judgment value; 2, comparing the change judgment value with a change judgment threshold value to obtain a large change degree sub-region; and step 3, based on the obtained large-change-degree sub-region, obtaining survey change information of the large-change-degree sub-region of the historical data, obtaining a change frequency ratio in the historical data, and comparing the change frequency ratio with a change frequency ratio threshold to generate a high-change-frequency signal. By optimizing the surveying period and integrating the surveying area, reasonable allocation of surveying and calibrating resources, improvement of surveying efficiency and calibration and guarantee of surveying accuracy are achieved.

Description

Technical Field

[0001] The present invention relates to the field of geographic information survey technology, and in particular to a geographic information survey calibration method and system. Background Art

[0002] Geographic information survey and calibration is the process of collecting, processing, comparing and correcting geographic spatial data using professional surveying techniques and methods to ensure that the accuracy, integrity and consistency of these data meet specific requirements. This process includes precise measurement of geographical features such as terrain, landforms, vegetation, and water systems to ensure the accuracy and reliability of the data.

[0003] Geographic information data needs to be surveyed and calibrated at regular intervals to update the data. Since the geographical environment is dynamically changing, regular survey and calibration can ensure the timeliness and accuracy of the data. However, traditional methods often make it difficult to accurately determine which survey areas need to be surveyed and calibrated first, which leads to a lack of pertinence and efficiency in the allocation of survey resources. Some important areas may not be surveyed and calibrated in a timely and effective manner due to insufficient resources, while some areas with little change may be over-surveyed, resulting in a waste of resources. Summary of the invention

[0004] The purpose of the present invention is to provide a geographic information survey and calibration method and system to solve the technical problems in the above background.

[0005] The technical solution adopted by the present invention to solve the above technical problems is: In a first aspect, the present invention provides a geographic information survey and calibration method, which specifically includes the following steps: Step 1: Obtain survey data of a geographic area to be surveyed, analyze it, and calculate a change judgment value; Step 2: Compare the change judgment value with the change judgment threshold to obtain a sub-area with a large degree of change; Step 3: Based on the obtained sub-area with a large degree of change, obtain survey change information of a sub-area with a large degree of change in historical data, obtain a value of the proportion of the number of changes in the historical data, and compare the value of the proportion of the number of changes with the value of the proportion of the number of changes threshold to generate a high change frequency signal; Step 4: Based on the high change frequency signal, obtain the sub-area to be analyzed, obtain the change time point, and analyze it to obtain a sub-area with regular changes; Step 5: Based on the obtained sub-area with regular changes, obtain a survey cycle optimization value, and integrate the sub-areas with regular changes to obtain an integrated area.

[0006] As a further solution of the present invention: the change judgment value acquisition process is: Obtain the percentage of time points with changes, the percentage of time points with the maximum number of consecutive changes, and the percentage of distribution of time points with changes; Substitute into the formula , the change judgment value BH is calculated, where GS represents the proportion of the number of time points with changes, LX represents the proportion of the continuous maximum number of time points, FB represents the distribution proportion of the time points with changes, a1, a2, and a3 are weight coefficients, the value of a1 is 0.58, the value of a2 is 0.20, and the value of a3 is 0.22.

[0007] As a further solution of the present invention: the process of obtaining the percentage of the number of time points with changes, the percentage of the continuous maximum number of time points and the percentage of the distribution of the time points with changes is as follows: Divide the geographic information area to be surveyed into a number of survey sub-areas in a grid format, preset a survey period, divide the survey period into a number of survey sub-periods, and take the start time point of each survey sub-period as the survey time point; In each survey sub-area, obtaining survey data at each survey time point; In each survey sub-area, the survey data obtained at two adjacent survey time points are compared. If the survey information of the two adjacent survey time points is different, it is marked as a survey time point with changes; Obtain the number of survey time points with changes, calculate the ratio of the number of survey time points with changes to the number of survey time points, and obtain the ratio of the number of time points with changes; Obtaining a survey time point with changes, marking consecutive survey time points with changes as a survey time point group with changes, obtaining a value of the survey time point group with changes, calculating a ratio between the value of the survey time point group with changes and the value of the survey time point with changes, and obtaining a distribution ratio of the time points with changes; The maximum value of the number of survey time points in the survey time point group with changes is extracted, and the ratio of the maximum value of the survey time points with changes is calculated to obtain the proportion of the continuous maximum number of time points.

[0008] As a further solution of the present invention: the process of obtaining the sub-region with a large degree of change is: Obtaining a change judgment value of each survey sub-area, and comparing the change judgment value with a change judgment threshold; If the change judgment value is greater than the change judgment threshold, a large change degree signal is generated; Based on the generated large change degree signal, a survey sub-region corresponding to the generated large change degree signal is obtained and marked as a large change degree sub-region.

[0009] As a further solution of the present invention: the process of generating the high-frequency signal is: Obtain the sub-region with the largest change degree, extract the number of changes corresponding to the sub-region with the largest change degree in the historical data, perform ratio processing on the number of changes and the total number of surveys in the historical data, and obtain the ratio of the number of changes; Compare the change times ratio value with the change times ratio threshold; If the change frequency ratio value is greater than the change frequency ratio threshold, a high change frequency signal is generated.

[0010] As a further solution of the present invention: the acquisition process of the regularly changing sub-region is: Based on the generated high-frequency change signal, obtain the percentage value of the small number of deviations; Compare the small deviation number ratio value with the small deviation number ratio threshold; If the value of the small deviation ratio is greater than the small deviation ratio threshold, a regular signal is generated. Based on the generated regular signal, the corresponding sub-region to be analyzed is obtained and marked as a regular change sub-region.

[0011] As a further solution of the present invention: the process of obtaining the value of the small number of deviations is: Obtaining an absolute deviation value of adjacent time differences, and comparing the absolute deviation value of adjacent time differences with an absolute deviation threshold of adjacent time differences; If the absolute deviation value of the adjacent time difference is less than the absolute deviation threshold of the adjacent time difference, a small deviation signal is generated; if the absolute deviation value of the adjacent time difference is greater than or equal to the absolute deviation threshold of the adjacent time difference, a large deviation signal is generated; The number of generated small deviation signals and the number of generated large deviation signals are obtained, and the sums are performed to obtain the total number value, and the number of generated small deviation signals is ratioed with the total number value to obtain the ratio of small deviation signals.

[0012] As a further solution of the present invention: the process of obtaining the absolute deviation value of adjacent time differences is: Obtain the survey sub-area corresponding to the high generation change frequency and mark it as the sub-area to be analyzed; For each sub-area to be analyzed, the time point at which the survey data changes is obtained in the historical data and marked as the change time point; Calculate the difference between adjacent change time points to obtain adjacent time differences, sum and average all adjacent time differences to obtain the mean of adjacent time differences; All adjacent time differences are calculated separately from the adjacent time difference mean, and the absolute value of the difference is taken to obtain the adjacent time difference absolute deviation value.

[0013] As a further solution of the present invention: the acquisition process of the integration region is: Obtain the sub-area with regular changes, extract the minimum value of the adjacent time difference corresponding to the sub-area with regular changes, and mark it as the survey cycle optimization value; Extract the minimum value A and the maximum value B in the survey cycle optimization value, preset the interval threshold N, and group the survey cycle optimization value based on the minimum value A, the maximum value B and the preset interval threshold N, where the number of groups is ; Obtain the regularly changing sub-areas and numerical values ​​corresponding to the survey cycle optimization value of each group, obtain the groups with numerical values ​​greater than 1, and mark them as groups to be integrated; Adjacent sub-regions with regular changes in the group to be integrated are integrated to obtain an integrated region.

[0014] In a second aspect, the present invention provides a geographic information survey and calibration system, the system comprising: Survey data acquisition and processing module: obtain survey data of the geographic information area to be surveyed, analyze it, and calculate the change judgment value; Change degree judgment module: compares the change judgment value with the change judgment threshold to obtain the sub-region with the largest change degree; Change frequency acquisition module: based on the acquired sub-areas with large changes, obtain the survey change information of these sub-areas in the historical data, obtain the percentage of the number of changes in the historical data, and compare the percentage of the number of changes with the percentage threshold of the number of changes to generate a high-frequency change signal; Regularity judgment module: based on the high-frequency change signal, obtain the sub-region to be analyzed, obtain the change time point, and perform analysis to obtain the sub-region with regular changes; Regional integration module: based on the obtained regularly changing sub-regions, the optimization value of the survey period is obtained, and the regularly changing sub-regions are integrated to obtain the integrated region.

[0015] Beneficial effects of the present invention: (1) The present invention obtains survey data of a survey sub-area corresponding to each survey time point within a survey period, compares the survey data, obtains survey time points with changes, calculates the proportion of the number of time points with changes, the proportion of the distribution of time points with changes, and the proportion of the continuous maximum number of time points based on the survey time points with changes, and substitutes the calculated proportion of the number of time points with changes, the proportion of the distribution of time points with changes, and the proportion of the continuous maximum number of time points into a formula, performs data processing, calculates a change judgment value, compares the calculated change judgment value with a threshold, and judges the degree of change of the corresponding survey sub-area, so that by combining multiple change indicators and weight coefficients, the degree of change of the survey sub-area can be more comprehensively and accurately evaluated, and these areas can be given priority in survey calibration in subsequent surveys, which helps to optimize the allocation of survey resources and improve the efficiency of survey calibration; (2) After obtaining the sub-regions with large changes, the present invention analyzes the change frequencies of these sub-regions in the historical data, calculates the change frequency ratio based on the change frequency, compares the change frequency ratio with the threshold, obtains the sub-regions with large change times, i.e., the sub-regions to be analyzed, and analyzes the change time points of the sub-regions to be analyzed in the historical data to determine whether there are regular changes in the time series of the sub-regions to be analyzed, and obtains the sub-regions with regular changes, so as to have a deeper understanding of the change characteristics of these survey sub-regions, formulate more specific survey calibration strategies for these regions, and improve the pertinence of survey calibration; (3) The present invention obtains sub-regions with regular changes and corresponding survey cycle optimization values, integrates the sub-regions with regular changes based on the survey cycle optimization values, and formulates survey calibration strategies for the integrated regions and sub-regions with regular changes excluding the integrated regions, thereby reducing the cost of survey calibration. By optimizing the survey cycle and integrating the survey areas, the present invention realizes the reasonable allocation of survey calibration resources, the improvement of survey efficiency calibration, and the guarantee of survey accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below in conjunction with the accompanying drawings.

[0017] Figure 1 It is a flowchart of a geographic information survey and calibration method of the present invention; Figure 2 It is a flowchart of obtaining a change judgment value in a geographic information survey and calibration method of the present invention; Figure 3 It is a flow chart of a geographic information survey and calibration system of the present invention. DETAILED DESCRIPTION

[0018] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments.

[0019] Embodiment 1: like Figure 1 and Figure 2 As shown, a geographic information survey and calibration method according to an embodiment of the present invention specifically comprises the following steps: Step 1: Obtain survey data of the geographic area to be surveyed, analyze it, and calculate the change judgment value; In some embodiments, the geographic area to be surveyed is divided into a plurality of survey sub-areas in a grid format, a survey period is preset, the survey period is divided into a plurality of survey sub-periods, and the start time point of each survey sub-period is taken as the survey time point; The survey period is set by those skilled in the art based on experience; In each survey sub-area, obtaining survey data at each survey time point, wherein the survey data includes but is not limited to terrain data, vegetation data, hydrological data and building data; In each survey sub-area, the survey data obtained at two adjacent survey time points are compared. If the survey information of the two adjacent survey time points is different, they are marked as survey time points with changes. If the survey information of the two adjacent survey time points is the same, they are marked as survey time points without changes. It should be noted that the starting point of the survey period is the initial survey time point (i.e., the first survey time point), and the survey data obtained at the first initial survey time point are compared with the original survey data; Obtain the number of survey time points with changes, calculate the ratio of the number of survey time points with changes to the number of survey time points, and obtain the ratio of the number of time points with changes; It should be explained that the percentage of the number of time points with changes reflects the following meaning: the time points with changes represent the survey time points where data changes occur during the survey period. The larger the percentage of the number of time points with changes, the more frequent the changes are during the survey period, and the higher the degree of change in the survey sub-area during the survey period. Obtaining a survey time point with changes, marking consecutive survey time points with changes as a survey time point group with changes, obtaining a value of the survey time point group with changes, calculating a ratio between the value of the survey time point group with changes and the value of the survey time point with changes, and obtaining a distribution ratio of the time points with changes; It should be explained that the meaning of the distribution ratio of time points with changes is as follows: the distribution ratio of time points with changes indicates the distribution of time points with changes during the survey period. The fewer the groups of time points with changes, the stronger the continuity of the time points with changes during the survey period, and the higher the degree of change of the survey sub-area during the survey period. Extract the maximum value of the number of survey time points in the survey time point group with changes, calculate the ratio of the maximum number of survey time points with changes, and obtain the ratio of the continuous maximum number of time points; It should be explained that the meaning of the proportion of the continuous maximum number of time points is as follows: the proportion of the continuous maximum number of time points indicates the continuity of the time points with changes during the survey period. The larger the continuous maximum number of time points, the stronger the continuity of the time points with changes during the survey period, and the higher the degree of change of the survey sub-area during the survey period. Substitute into the formula , the change judgment value BH is calculated, where GS represents the proportion of the number of time points with changes, LX represents the proportion of the continuous maximum number of time points, FB represents the distribution proportion of the time points with changes, a1, a2, and a3 are weight coefficients, a1 is 0.58, a2 is 0.20, and a3 is 0.22; It should be explained that the change judgment value BH reflects the following meaning: the change judgment value is calculated from the proportion of the number of time points with changes, the proportion of the time points with the maximum number of consecutive times, and the proportion of the distribution of time points with changes. If the proportion of the number of time points with changes and the proportion of the time points with the maximum number of consecutive times are both high, while the proportion of the distribution of time points with changes is low, this may indicate that the survey sub-area has experienced continuous and frequent changes during the survey period, and these changes are mainly concentrated in one or a few time periods; Step 2: Compare the change judgment value with the change judgment threshold to obtain the sub-region with the largest change degree; In some embodiments, a change judgment value of each survey sub-region is obtained, and the change judgment value is compared with a change judgment threshold, wherein the change judgment threshold is a critical value used to judge the degree of change of the corresponding survey sub-region, and is summarized and set by those skilled in the art based on historical multiple experimental data; If the change judgment value is less than or equal to the change judgment threshold, it means that the change degree of the survey sub-area is small, and a small change degree signal is generated; Based on the generated small signal of the degree of change, the survey sub-area corresponding to the generated small signal of the degree of change is obtained, and the reason for the change is analyzed, and the reason for the change includes but is not limited to: mistakes made by technicians during the survey process; If the change judgment value is greater than the change judgment threshold, it means that the degree of change in the survey sub-area is large, and a large change degree signal is generated; Based on the generated large change degree signal, a survey sub-region corresponding to the generated large change degree signal is obtained and marked as a large change degree sub-region; The technical solution of the embodiment of the present invention is mainly as follows: first, by acquiring the survey data of the survey sub-area corresponding to each survey time point within the survey period, the survey data are compared to obtain the survey time points with changes, and the number of time points with changes, the distribution ratio of the time points with changes and the ratio of the maximum number of consecutive time points are calculated based on the survey time points with changes, and the number of time points with changes, the distribution ratio of the time points with changes and the ratio of the maximum number of consecutive time points calculated by the survey time points with changes are substituted into the formula to perform data processing, and a change judgment value is calculated, and the calculated change judgment value is compared with a threshold value to judge the degree of change of the corresponding survey sub-area, so that by combining multiple change indicators and weight coefficients, the degree of change of the survey sub-area can be more comprehensively and accurately evaluated, and these areas can be given priority in survey calibration in subsequent surveys, which is helpful to optimize the allocation of survey resources and improve the efficiency of survey calibration.

[0020] Embodiment 2: On the basis of Example 1, a geographic information survey and calibration method described in an embodiment of the present invention further includes the following steps: Step 3: Based on the obtained sub-regions with large changes, obtain the survey change information of the sub-regions with large changes in historical data, obtain the percentage of the number of changes in the historical data, and judge the change frequency; In some embodiments, a sub-region with a large degree of change is obtained, the number of changes corresponding to the sub-region with a large degree of change in the historical data is extracted, and the number of changes is processed by ratio processing with the total number of surveys in the historical data to obtain a ratio of the number of changes; Compare the change times ratio value with the change times ratio threshold value, wherein the change times ratio threshold value is set by a person skilled in the art based on a summary of multiple historical experimental data; If the change frequency ratio value is less than or equal to the change frequency ratio threshold, it means that the number of changes in the sub-region in the historical data is small, and a low change frequency signal is generated; If the change frequency ratio value is greater than the change frequency ratio threshold, it means that the sub-region has many changes in the historical data, and a high change frequency signal is generated; Step 4: Based on the multiple signals of the number of changes, obtain the sub-region to be analyzed, obtain the change time point, and perform analysis to obtain the sub-region with regular changes; In some embodiments, based on the generated high change frequency signal, a survey sub-region corresponding to the generated high change frequency is obtained and marked as a sub-region to be analyzed; For each sub-area to be analyzed, the time point at which the survey data changes is obtained in the historical data and marked as the change time point; Calculate the difference between adjacent change time points to obtain adjacent time differences, sum and average all adjacent time differences to obtain the mean of adjacent time differences; Calculate the difference between all adjacent time differences and the mean of adjacent time differences, take the absolute value of the difference, and obtain the absolute deviation value of the adjacent time difference; Compare the adjacent time difference absolute deviation value with the adjacent time difference absolute deviation threshold, wherein the adjacent time difference absolute deviation threshold is set by a person skilled in the art based on a summary of multiple historical experimental data; If the absolute deviation value of the adjacent time difference is less than the absolute deviation threshold of the adjacent time difference, a small deviation signal is generated; if the absolute deviation value of the adjacent time difference is greater than or equal to the absolute deviation threshold of the adjacent time difference, a large deviation signal is generated; Obtain the number of generated small deviation signals and the number of generated large deviation signals, sum them up to obtain the total number value, perform ratio processing on the number of generated small deviation signals and the total number value to obtain the ratio of small deviation numbers; The value of the small deviation number ratio is compared with the small deviation number ratio threshold, wherein the small deviation number ratio threshold is set by a technician in this field based on historical experimental data. If the value of the proportion of small deviations is greater than the threshold value of the proportion of small deviations, a regular signal is generated; if the value of the proportion of small deviations is less than or equal to the threshold value of the proportion of small deviations, an irregular signal is generated; Based on the generated regular signal, the corresponding sub-region to be analyzed is obtained and marked as a sub-region with regular changes; The technical solution of the embodiment of the present invention is mainly as follows: after obtaining sub-regions with large changes, the change frequencies of these sub-regions in historical data are analyzed, and based on the change frequencies, the change frequency ratio is calculated, and the change frequency ratio is compared with the threshold value to obtain sub-regions with large number of changes, that is, sub-regions to be analyzed, and based on the change time points of the sub-regions to be analyzed in the historical data, analysis is performed to determine whether there are regular changes in the time series of the sub-regions to be analyzed, and sub-regions with regular changes are obtained, so as to have a deeper understanding of the change characteristics of these survey sub-regions, formulate more specific survey and calibration strategies for these regions, and improve the pertinence of survey and calibration.

[0021] Example 3 On the basis of Example 1 and Example 2, a geographic information survey and calibration method described in an embodiment of the present invention further includes the following steps: Step 5: Based on the obtained regularly changing sub-regions, obtain the optimized value of the survey period, and integrate the regularly changing sub-regions to obtain the integrated region; In some embodiments, a regularly changing sub-region is obtained, and a minimum value of the adjacent time difference corresponding to the regularly changing sub-region is extracted and marked as a survey cycle optimization value; Extract the minimum value A and the maximum value B in the survey cycle optimization value, preset the interval threshold N, and group the survey cycle optimization value based on the minimum value A, the maximum value B and the preset interval threshold N, where the number of groups is ; Exemplarily, the grouping range of the survey cycle optimization value is: the first group [A, A+N], the second group [A+N, A+2N]...the N-1th group [A+(GS-2)*N, A+(GS-1)*N], the Nth group [A+(GS-1)*N, B]; Obtain the regularly changing sub-areas and numerical values ​​corresponding to the survey cycle optimization value of each group, obtain the groups with numerical values ​​greater than 1, and mark them as groups to be integrated; Integrate the adjacent regularly changing sub-regions in the group to be integrated to obtain an integrated region, and obtain the minimum survey cycle optimization value corresponding to the regularly changing sub-regions in the integrated region; Among them, the adjacent regularly changing sub-regions are: the sub-regions adjacent to each other above and below and the sub-regions adjacent to each other left and right. It should be noted that for the integrated area, the survey and calibration are performed at the time interval with the minimum survey cycle optimization value, so that the survey and calibration tasks can be concentrated, the movement and waiting time of the survey personnel can be reduced, the allocation of survey resources can be optimized, and the survey efficiency can be improved; For the remaining sub-areas with regular changes except the integrated area, the survey calibration is performed at the time interval with the optimized value of the survey cycle, so that the key changes can be captured more efficiently and invalid surveys can be reduced; The technical solution of the embodiment of the present invention is mainly as follows: by obtaining sub-regions with regular changes and corresponding survey cycle optimization values, the sub-regions with regular changes are integrated based on the survey cycle optimization values, and survey calibration strategies are formulated for the integrated regions and sub-regions with regular changes excluding the integrated regions, thereby reducing the cost of survey calibration. By optimizing the survey cycle and integrating the survey regions, reasonable allocation of survey calibration resources, improvement of survey efficiency calibration, and guarantee of survey accuracy are achieved.

[0022] Embodiment 4: On the basis of Example 1, Example 2 and Example 3, Figure 3 As shown, a geographic information survey and calibration system according to an embodiment of the present invention specifically includes: Survey data acquisition and processing module: obtain survey data of the geographic information area to be surveyed, analyze it, and calculate the change judgment value; Change degree judgment module: compares the change judgment value with the change judgment threshold to obtain the sub-region with the largest change degree; Change frequency acquisition module: based on the acquired sub-regions with large changes, obtain the survey change information of the sub-regions with large changes in historical data, obtain the proportion of the number of changes in the historical data, and judge the frequency of the number of changes; Regularity judgment module: based on the high-frequency change signal, obtain the sub-region to be analyzed, obtain the change time point, and perform analysis to obtain the sub-region with regular changes; Regional integration module: based on the obtained regularly changing sub-regions, the optimization value of the survey period is obtained, and the regularly changing sub-regions are integrated to obtain the integrated region.

[0023] The size of the above threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the base number set by the technical personnel in this field for each group of sample data; for example: in the actual process, there are many groups of percentages of the number of time points with changes, percentages of the maximum number of consecutive time points and percentages of the distribution of time points with changes. The percentages of the number of time points with changes, the maximum number of consecutive time points and percentages of the distribution of time points with changes of many groups are processed to obtain the change judgment values ​​of the corresponding groups. The staff evaluates the degree of change of the survey sub-area based on so many groups of change judgment values, thereby obtaining a corresponding relationship between a change judgment value and the degree of change of the survey sub-area, and then derives and divides the threshold of the change judgment value according to the degree of change of the survey sub-area, thereby obtaining the change judgment threshold, and compares the obtained abnormal change judgment value with the change judgment threshold, that is, completes the identification of the degree of change of the survey sub-area corresponding to the change judgment value.

[0024] The embodiments of the present invention are described in detail above, but the contents described are only preferred embodiments of the present invention and cannot be considered to limit the scope of implementation 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 geographic information survey and calibration method, characterized in that: The specific steps include: Step 1: Obtain survey data of the geographic area to be surveyed, analyze it, and calculate the change judgment value; Step 2: Compare the change judgment value with the change judgment threshold to obtain the sub-region with the largest change degree; Step 3: Based on the obtained sub-region with a large degree of change, obtain the survey change information of the sub-region with a large degree of change in the historical data, obtain the value of the proportion of the number of changes in the historical data, and compare the value of the proportion of the number of changes with the threshold value of the proportion of the number of changes to generate a high-frequency change signal; Step 4: Based on the high-frequency change signal, obtain the sub-region to be analyzed, obtain the change time point, and perform analysis to obtain the sub-region with regular changes; Step 5: Based on the obtained regularly changing sub-regions, the optimized value of the survey period is obtained, and the regularly changing sub-regions are integrated to obtain the integrated region.

2. A geographic information survey and calibration method according to claim 1, characterized in that: The change judgment value acquisition process is as follows: Obtain the percentage of time points with changes, the percentage of time points with the maximum number of consecutive changes, and the percentage of distribution of time points with changes; Substitute into the formula , the change judgment value BH is calculated, where GS represents the proportion of the number of time points with changes, LX represents the proportion of the continuous maximum number of time points, FB represents the distribution proportion of the time points with changes, and a1, a2, and a3 are weight coefficients.

3. A geographic information survey and calibration method according to claim 2, characterized in that: The process of obtaining the percentage of the number of time points with changes, the percentage of the continuous maximum number of time points, and the percentage of the distribution of the time points with changes is as follows: Divide the geographical area to be surveyed into a number of survey sub-areas in a grid format, preset a survey period, divide the survey period into a number of survey sub-periods, and take the start time point of each survey sub-period as the survey time point; In each survey sub-area, obtaining survey data at each survey time point; In each survey sub-area, the survey data obtained at two adjacent survey time points are compared. If the survey information of the two adjacent survey time points is different, it is marked as a survey time point with changes; Obtain the number of survey time points with changes, calculate the ratio of the number of survey time points with changes to the number of survey time points, and obtain the ratio of the number of time points with changes; Obtaining a survey time point with changes, marking consecutive survey time points with changes as a survey time point group with changes, obtaining a value of the survey time point group with changes, calculating a ratio between the value of the survey time point group with changes and the value of the survey time point with changes, and obtaining a distribution ratio of the time points with changes; The maximum value of the number of survey time points in the survey time point group with changes is extracted, and the ratio of the maximum value of the survey time points with changes is calculated to obtain the proportion of the continuous maximum number of time points.

4. A geographic information survey and calibration method according to claim 1, characterized in that: The process of obtaining the sub-region with large variation degree is as follows: Obtaining a change judgment value of each survey sub-area, and comparing the change judgment value with a change judgment threshold; If the change judgment value is greater than the change judgment threshold, a large change degree signal is generated; Based on the generated large change degree signal, a survey sub-region corresponding to the generated large change degree signal is obtained and marked as a large change degree sub-region.

5. A geographic information survey and calibration method according to claim 1, characterized in that: The process of generating a high-frequency signal is as follows: Obtain the sub-region with the largest change degree, extract the number of changes corresponding to the sub-region with the largest change degree in the historical data, perform ratio processing on the number of changes and the total number of surveys in the historical data, and obtain the ratio of the number of changes; Compare the change times ratio value with the change times ratio threshold; If the change frequency ratio value is greater than the change frequency ratio threshold, a high change frequency signal is generated.

6. A geographic information survey and calibration method according to claim 1, characterized in that: The acquisition process of the regularly changing sub-region is as follows: Based on the generated high-frequency change signal, obtain the percentage value of the small number of deviations; Compare the small deviation number ratio value with the small deviation number ratio threshold; If the value of the small deviation ratio is greater than the small deviation ratio threshold, a regular signal is generated. Based on the generated regular signal, the corresponding sub-region to be analyzed is obtained and marked as a regular change sub-region.

7. A geographic information survey and calibration method according to claim 6, characterized in that: The process of obtaining the value of the small number of deviations is as follows: Obtaining an absolute deviation value of adjacent time differences, and comparing the absolute deviation value of adjacent time differences with an absolute deviation threshold of adjacent time differences; If the absolute deviation value of the adjacent time difference is less than the absolute deviation threshold of the adjacent time difference, a small deviation signal is generated; if the absolute deviation value of the adjacent time difference is greater than or equal to the absolute deviation threshold of the adjacent time difference, a large deviation signal is generated; The number of generated small deviation signals and the number of generated large deviation signals are obtained, and the sums are performed to obtain the total number value, and the number of generated small deviation signals is ratioed with the total number value to obtain the ratio of small deviation signals.

8. A geographic information survey and calibration method according to claim 7, characterized in that: The process of obtaining the absolute deviation value of adjacent time differences is as follows: Obtain the survey sub-area corresponding to the high generation change frequency and mark it as the sub-area to be analyzed; For each sub-area to be analyzed, the time point at which the survey data changes is obtained in the historical data and marked as the change time point; Calculate the difference between adjacent change time points to obtain adjacent time differences, sum and average all adjacent time differences to obtain the mean of adjacent time differences; All adjacent time differences are calculated separately from the adjacent time difference mean, and the absolute value of the difference is taken to obtain the adjacent time difference absolute deviation value.

9. A geographic information survey and calibration method according to claim 1, characterized in that: The acquisition process of the integration area is as follows: Obtain the sub-area with regular changes, extract the minimum value of the adjacent time difference corresponding to the sub-area with regular changes, and mark it as the survey cycle optimization value; Extract the minimum value A and the maximum value B in the survey cycle optimization value, preset the interval threshold N, and group the survey cycle optimization value based on the minimum value A, the maximum value B and the preset interval threshold N, where the number of groups is ; Obtain the regularly changing sub-areas and numerical values ​​corresponding to the survey cycle optimization value of each group, obtain the groups with numerical values ​​greater than 1, and mark them as groups to be integrated; Adjacent sub-regions with regular changes in the group to be integrated are integrated to obtain an integrated region.

10. A geographic information survey and calibration system, characterized in that: The system includes: Survey data acquisition and processing module: obtain survey data of the geographic information area to be surveyed, analyze it, and calculate the change judgment value; Change degree judgment module: compares the change judgment value with the change judgment threshold to obtain the sub-region with the largest change degree; Change frequency acquisition module: based on the acquired sub-areas with large changes, obtain the survey change information of these sub-areas in the historical data, obtain the percentage of the number of changes in the historical data, and compare the percentage of the number of changes with the percentage threshold of the number of changes to generate a high-frequency change signal; Regularity judgment module: based on the high-frequency change signal, obtain the sub-region to be analyzed, obtain the change time point, and perform analysis to obtain the sub-region with regular changes; Regional integration module: based on the obtained regularly changing sub-regions, the optimization value of the survey period is obtained, and the regularly changing sub-regions are integrated to obtain the integrated region.

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