Surveying and mapping geographic information management method and system based on big data

Abstract

The invention relates to the field of geographic information surveying and mapping management methods, in particular to a surveying and mapping geographic information management method and system based on big data, and the method comprises the steps: obtaining multivariate heterogeneous data obtained by surveying and mapping geographic information of a to-be-surveyed and mapped area, and obtaining the engineering surveying and mapping purpose and edge position information of the to-be-surveyed and mapped area in real time; judging whether the to-be-mapped area is a geological deformation area or not, and if yes, screening out key data of an overlapping area where geological and topographic changes are easy from the multivariate heterogeneous data according to the edge position information and the overlapping area in an existing geographic information database; then acquiring design surveying and mapping time before surveying and mapping and climate information during surveying and mapping, judging whether actual surveying and mapping time for acquiring the heterogeneous data is within the range of the design surveying and mapping time or not, if so, judging whether the climate information is a predicted condition before surveying and mapping or not, and if so, judging whether the climate information is a predicted condition before surveying and mapping. And if not, adding an update identifier to the key data and then dynamically updating the key data to the geographic information database. The accuracy of data management is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of geographic information surveying and mapping management method, in particular to a surveying and mapping geographic information management method and system based on big data. BACKGROUND

[0002] Geographic information surveying and mapping is the measurement of multi-type attribute data information of the target geographic area, including engineering surveying and mapping, marine surveying and mapping, and natural resource surveying and mapping, etc., and is widely used in many fields such as natural resources, environmental protection, urban planning, intelligent transportation, emergency management, public safety, agriculture, forestry, water conservancy, energy, meteorology, public health, commercial analysis, and military defense.

[0003] Among them, engineering surveying and mapping is the most common and frequent application, and involves many fields such as environmental protection, urban planning, intelligent transportation, emergency management, and public safety. Engineering surveying and mapping includes many stages such as surveying, design, construction, case, operation, and monitoring. In the process of engineering surveying and mapping, a large amount of surveying and mapping work document editing work is generated, and there is a lot of repeated content in the document editing of different target areas, which makes the document editing work efficiency of surveying and mapping work low and prone to errors. In order to smoothly link and steadily promote each stage of engineering surveying and mapping, and accurately store surveying and mapping geographic information, the management of surveying and mapping geographic information is very important.

[0004] Therefore, the amount of surveying and mapping geographic information data obtained by surveying and mapping each project is huge, and in order to track and trace the project, it is necessary to manage and store the surveying and mapping geographic information. Because the storage of surveying and mapping geographic information needs to reach a certain period of time, the management cost of surveying and mapping geographic information is relatively large, and with the change of external environment and the passage of time, the surveying and mapping geographic information will change due to environmental changes, ultimately leading to a decrease in the accuracy of some planning results and analysis results based on surveying and mapping geographic information. SUMMARY

[0005] One of the purposes of the present application is to provide a surveying and mapping geographic information management method based on big data to solve the problem of large management cost of surveying and mapping geographic information and inability to obtain timely influence on subsequent planning work after changes.

[0006] The surveying and mapping geographic information management method based on big data in the present application comprises: Step 1, obtaining multi-element heterogeneous data obtained by surveying and mapping the geographic information of the to-be-surveyed area, and obtaining the engineering surveying and mapping purpose of the to-be-surveyed area and the edge position information of the to-be-surveyed area in real time; Step 2, judging whether the to-be-surveyed area is a geological deformation area, if yes, according to the overlapping area of the edge position information and the existing geographic information database, screening out the key data of the easy geological and topographic change place of the overlapping area from the multi-element heterogeneous data; Step 3, after screening out the key data, obtaining the design surveying time before obtaining the surveying geographic information, the climate information when obtaining the surveying geographic information, and judging whether the actual surveying time of obtaining the heterogeneous data is within the design surveying time range. If the actual surveying time is within the design surveying time range, it is judged whether the climate information is the predicted condition before surveying. If yes, the key data is added with an update mark and dynamically updated to the geographic information database.

[0007] The beneficial effects of the present scheme are: In the process of geographic information surveying, by screening the key data corresponding to the easy geological and topographic change in the overlapping area of the to-be-surveyed region and the existing geographic information, it is judged whether the climate changes when surveying. If the climate does not change, the key data obtained is dynamically updated to the corresponding database. The geographic information in the database is dynamically updated by actual engineering work, without the need for separate and additional data update and maintenance in the database, saving cost, and at the same time, the data change in the database can be found in time, making the data in the database more accurate, and the subsequent planning, design, etc. based on the data in the database is more in line with the actual situation, and the planning result and design result are more accurate.

[0008] Further, in step 3, if the actual surveying time is outside the design surveying time range, the time difference between the actual surveying time and the design surveying time is calculated, and it is judged whether the time difference is greater than a threshold. If yes, the heterogeneous data is marked for re-surveying according to the engineering surveying purpose. If not, the heterogeneous data is marked for difference according to the engineering surveying purpose.

[0009] The beneficial effects are: for the region prone to geological deformation, a certain degree of topographic change may occur after the design test time range, which may cause the surveying design result to be mismatched. The time difference between design and implementation is calculated. If the time difference is relatively large, the heterogeneous data is marked for re-surveying, which can identify the surveying result deviation caused by topographic change due to time difference, ensuring the accuracy of the surveying result. In the case of small time difference, the difference mark is made, which can be used for the judgment and use of the heterogeneous data obtained for different engineering purposes.

[0010] Further, in step 3, the storage period of the heterogeneous data is adjusted according to the engineering surveying purpose and the difference mark. The adjustment is started from the first limit base and adjusted by a preset limit value.

[0011] Beneficial effects: the difference mark data with small time difference is adjusted in storage period, which can make full use of the data under the premise of accuracy and effectiveness, avoiding the waste of surveying resources.

[0012] Further, in step 3, for the heterogeneous data marked with the remeasurement mark, it is confirmed whether remeasurement is performed, if remeasurement is performed, the heterogeneous data reacquired is stored according to the set deadline, if remeasurement is not performed, the second deadline is taken as the starting point, and the preset time limit value is decreased and adjusted, and the second deadline is two-thirds of the first deadline.

[0013] The beneficial effect is that for the heterogeneous data measured outside the design measurement time range, the remeasurement is controlled, if the remeasurement is performed, the heterogeneous data measurement process is more in line with the actual situation, and the heterogeneous data is stored according to the original set deadline, if the remeasurement is not performed, the effective data storage is more in line with the actual engineering demand, and the space resources occupied by data storage are reduced.

[0014] Further, in step 3, the update identifier is automatically generated according to the corresponding update strategy according to the data type of the key data, the update strategy is generated according to the type identifier, the place identifier, and the time identifier in the order of the data type, and the data type includes measurement results, map data, image and interpretation data, three-dimensional geographic information data, navigation and location service data, and geographic national condition monitoring data.

[0015] The beneficial effect is that different update identifiers are generated for different data types, which can distinguish the data for storage, and facilitate subsequent accurate query.

[0016] Further, it further includes step 4, obtaining a data query request, preliminarily judging the data type required to be queried according to the query request, and determining the preliminary update identifier according to the data type, then obtaining the confirmation feedback or denial feedback of the preliminary update identifier, if the confirmation feedback is obtained, the update identifier corresponding to the data type is listed to query, if the denial feedback is obtained, the query content is obtained to query.

[0017] The beneficial effect is that the dynamic update content is less than the geographic information in the database, and the demand for querying only the updated content is also less, and the identifier of the updated content cannot be completely remembered, so when querying, the update identifier of the content to be queried is automatically confirmed according to the query request, the dynamic update content is searched, accurate search can be performed after forgetting the corresponding specific content and the corresponding identifier, and when the denial feedback is obtained, the query content is obtained, accurate search of other non-updated content can be conveniently performed, and the query time is reduced.

[0018] Further, the step 5 further comprises the following steps: judging the label of the heterogeneous data reaching the storage period, when the heterogeneous data has an update identifier, judging whether the engineering survey purpose when the heterogeneous data is obtained is the engineering pre-construction, if the engineering survey purpose is not the engineering pre-construction, directly deleting the expired heterogeneous data, if the engineering survey purpose is the engineering pre-construction, judging whether the update identifier is added by the engineering post-maintenance, if the update identifier is not added by the engineering post-maintenance, deleting after obtaining the deletion verification information, if the update identifier is added by the engineering post-maintenance, obtaining the time length information of the delayed deletion.

[0019] The beneficial effect is that when the geographic information is managed, the label is judged first, and then the further judgment verification is performed in combination with the engineering survey purpose, so that different data can have sufficient storage time, the data utilization rate is higher, the data to be deleted is accurately managed, and the data is prevented from being mistakenly deleted.

[0020] Further, in the step 5, when the heterogeneous data has a re-surveying mark, it is judged whether the engineering surveying position is a key position in the engineering, if the engineering surveying position is the key position, the time length information of the delayed deletion is obtained, and if the engineering surveying position is not the key position, the deletion is performed after waiting for the deletion verification.

[0021] The beneficial effect is that for the heterogeneous data after re-surveying, the deletion management is delayed or verified, so that the important data can be effectively processed and fully used, the mistaken deletion is prevented, and the data utilization rate is improved.

[0022] Further, in the step 5, when the heterogeneous data has a difference mark, a manual deletion mark is added.

[0023] The beneficial effect is that for the heterogeneous data obtained by surveying with a certain time difference, the manual deletion mark is added, so that the manual deletion can be checked again, and the mistaken deletion is avoided.

[0024] The second object of the present application is to provide a surveying geographic information management system based on big data, to accurately manage the surveying geographic information.

[0025] A surveying geographic information management system based on big data comprises one or more processors, the processor stores a computer executable program, and the executable program is executed according to the steps of the above method. BRIEF DESCRIPTION OF DRAWINGS

[0026] Figure 1 The flowchart of the surveying geographic information management method based on big data of the embodiment of the present application. DETAILED DESCRIPTION

[0027] The following detailed description provides further details on specific implementation methods.

[0028] Example 1 Big data-based surveying and mapping geographic information management methods, such as Figure 1 As shown, it includes: Step 1: Acquire multi-source heterogeneous data from geographic information mapping of the area to be surveyed, and obtain in real-time the engineering survey purpose and edge location information of the area to be surveyed. The area to be surveyed may be, for example, the B river area in region A, a cable line project area, a route improvement project area, a county urban construction land cadastral survey area, or an ecological protection red line area, etc. The multi-source heterogeneous data is collected according to actual needs; for example, multi-source heterogeneous data includes remote sensing data, sensor network data, surveying data, and socio-cultural data. Edge location information includes the latitude and longitude coordinates of the area's edges.

[0029] Step 2: Determine whether the area to be mapped is a geologically deformable area. If so, based on the overlapping areas with existing geographic information databases, filter out key data from the multi-source heterogeneous data to identify areas prone to geological and topographical changes. Geologically deformable areas are identified using historical data on areas that have experienced geological deformation, or by historically labeled deformation areas. Overlapping areas are identified based on coordinates and other information about the edge locations. Key data includes geographic parameters, graphic data, point cloud data, and dimensions of the changes.

[0030] Step 3: After filtering out the key data, obtain the design surveying time before the geographic information is surveyed and the climate information during the geographic information survey. The design surveying time is, for example, 2025.1.6-2025.3.6. The climate information during the surveying time is obtained from the recorded information during the surveying time, such as sunny, light wind, cloudy turning to light rain, etc. Then, determine whether the actual surveying time of the heterogeneous data is within the design surveying time range. The actual surveying time is based on the recorded time, such as 2025.3.28. If the actual surveying time is within the design surveying time range, then determine whether the climate information is the expected condition before the surveying. The expected condition is, for example, wind force less than level 3, sunny weather during aerial surveying, or visibility requirements for geological surveying, etc. If the climate information is the expected condition before the surveying, then add update tags to the key data and dynamically update it to the geographic information database. The update tags are, for example, update date tags, update text tags, etc. If the climate information is not the predicted situation before the survey, that is, the climate situation changes from the pre-designed sunny days to rainy days, then the key data will not be updated to the geographic information database, and the key data will be stored separately as supplementary reference data.

[0031] If the actual surveying time is located outside the design surveying time range, the time difference between the actual surveying time and the design surveying time is calculated, the upper limit time of the actual surveying time and the design surveying time is subtracted to obtain the time difference, and whether the time difference is greater than a threshold value is determined, the threshold value is set according to actual needs, for example, if the actual time difference reaches 15 days, the corresponding to-be-surveyed area will cause geological deformation due to heavy rain, then the threshold value is 15 days, if the time difference is greater than the threshold value, the heterogeneous data is marked for re-surveying according to the engineering surveying purpose, the re-surveying mark can be a mark of corresponding characters, letters, etc., and the heterogeneous data marked for re-surveying is obtained; if the time difference is less than the threshold value, the heterogeneous data is differentially marked according to the engineering surveying purpose, the differential mark can be a color, a line mark, etc., and the differential mark is convenient for subsequent selective use, reference and analysis basis of the data according to actual data use requirements.

[0032] Compared with the prior art, the embodiment filters the key data corresponding to easy geological and topographic changes in the data in the overlapping area of the to-be-surveyed area and the existing geographic information, judges whether the climate at the time of surveying changes, and dynamically updates the key data obtained by surveying to the corresponding database if the climate does not change. The data obtained by actual engineering work is used to dynamically update the geographic information in the database, without the need for separate and additional data update and maintenance in the database, saving cost, and at the same time, the data change in the database can be found in time, the data in the database is more accurate, and the subsequent planning, design and other work based on the data in the database is more in line with the actual situation, and the planning result and the design result are more accurate.

[0033] For the area prone to geological deformation, a certain degree of topographic change may occur due to extreme weather such as heavy rain or some activities after the design test time range, thereby causing mismatch between the pre-planned surveying design result and the actual geographic and geological conditions. The time difference between the design and implementation is calculated, the heterogeneous data is re-surveyed and marked if the time difference is relatively large, the surveying result deviation caused by the topographic change due to the time difference can be identified, the actual surveying work is kept to be least interfered by external climate, geographic environment and the like, the accuracy of the surveying result is ensured, and the differential mark is made if the time difference is relatively small, the judgment and use of the heterogeneous data obtained by surveying for different engineering purposes can be distinguished, and the waste of human cost and equipment cost of surveying work caused by random discarding of the obtained data is avoided.

[0034] Embodiment two The difference between the big data-based surveying and mapping geographic information management method and the first embodiment is that the storage period of the heterogeneous data is adjusted according to the engineering surveying and mapping purpose and the difference mark, and the adjustment is started from the first period base and is adjusted in a decreasing manner according to the preset period value, for example, the preset period value is 1.5 years, and the first period base is 20 years. For the heterogeneous data marked with the re-surveying mark, it is determined whether the re-surveying is performed. The re-surveying is determined by re-acquiring the heterogeneous data. If the re-surveying is performed, the re-acquired heterogeneous data is stored according to the set period, and the set period is the data storage period set according to the actual demand. If the re-surveying is not performed, the second period base is taken as the starting point, and the second period base is taken as the starting point. The second period is two-thirds of the first period.

[0035] Because when surveying outside the design surveying time range, some deformable areas will deform a certain amount over time, and the data obtained by surveying is not appropriate due to geological deformation and other factors, and the inappropriate factor cannot be known in advance, so that some design surveying methods or time are no longer applicable, and the data obtained by surveying has some uncertainty that cannot be anticipated in advance. Therefore, for the heterogeneous data obtained by surveying outside the design surveying time range, the re-surveying is controlled. If the re-surveying is performed, the process of surveying the heterogeneous data is more in line with the actual situation, and the data is stored according to the original set period. If the re-surveying is not performed, the effective data is stored for a shorter period of time, so that the storage of the effective data is more in line with the actual engineering demand, and the storage period of the data obtained by surveying is dynamically controlled to reduce the space resources occupied by data storage.

[0036] Embodiment three The difference between the big data-based surveying and mapping geographic information management method and the first embodiment is that the update mark is automatically generated according to the data type of the key data according to the corresponding update strategy. The update strategy is generated according to the type of data in sequence with type identification, location identification, and time identification. The data types include surveying results, map data, image and interpretation data, three-dimensional geographic information data, navigation and location service data, and geographic national condition monitoring data. For example, the update mark is map data+A curve+250106.

[0037] Different update marks are generated for different data types, the marks of the data carry more information related to the actual surveying and mapping work, the data can be stored separately, and the probability of forgetting information when querying is reduced.

[0038] Embodiment four The difference between the big data-based surveying and mapping geographic information management method and the first embodiment is that it further includes: Step 4, obtain a data query request, the query request is a request for querying a type of geographic information data, for example, querying the surveying and mapping data of the river area of county B in area A, preliminarily judging the type of data required to be queried according to the query request, for example, determining that the type of data is a map, and determining a preliminary update identifier according to the type of data, the preliminary update identifier is a map data, then obtaining a confirmation feedback or a denial feedback of the preliminary update identifier, if the confirmation feedback is obtained, the confirmation feedback is yes, confirmation, or acceptance, the update identifier corresponding to the data type is queried, and if the denial feedback is obtained, the query content is obtained for querying.

[0039] Since the dynamic updated content is less than the geographic information in the database, and the demand for querying only the updated part of the content is also less, the identifier of the updated part of the content cannot be completely remembered, therefore, in the query, the update identifier of the to-be-queried content is automatically confirmed according to the query request, the dynamic updated content is searched, accurate search can be performed after forgetting the corresponding specific content and the corresponding identifier, and when the denial feedback is obtained, the query content is obtained, accurate search of other non-updated content can be conveniently performed, and the time spent in the query is reduced.

[0040] Embodiment five The surveying and mapping geographic information management method based on big data further includes step 5, label judgment is performed on the heterogeneous data reaching the storage period, when the heterogeneous data has an update identifier, it is judged whether the engineering surveying and mapping purpose when the heterogeneous data is obtained is engineering pre-construction, for example, pre-digging of a foundation pit, if the engineering surveying and mapping purpose is not engineering pre-construction, the expired heterogeneous data is directly deleted, if the engineering surveying and mapping purpose is engineering pre-construction, it is judged whether the update identifier is added by engineering post-construction maintenance, if the update identifier is not added by engineering post-construction maintenance, the deletion verification information is obtained again for deletion, if the update identifier is added by engineering post-construction maintenance, the time length information of the delayed deletion is obtained, for example, 1 year, 2 years, etc.

[0041] When the heterogeneous data has a re-surveying and mapping mark, it is judged whether the engineering surveying and mapping position is a key position in the engineering, if the engineering surveying and mapping position is a key position, the time length information of the delayed deletion is obtained, if the engineering surveying and mapping position is not a key position, the heterogeneous data is deleted after waiting for the deletion verification; when the heterogeneous data has a difference mark, a manual deletion waiting mark is added.

[0042] Because part of the data does not consider the difference between different regional location, type data when setting fixed validity period, resulting in part of the data has certain utilization and reference value after the validity period, if directly delete, will cause effective data resource utilization insufficient to cause resource waste, so, in the management of deleting geographic information, through judging label first, then further judgment and verification combining engineering surveying and mapping purpose, can keep different data have enough storage time, data utilization is higher, accurate to the data to be deleted management, prevent data from being mistaken for deleting. For the heterogeneous data after remeasuring, it may be more important and key, and the deletion management of such data is delayed or verified, which can ensure the effective processing and full use of important data, prevent mistaken deletion, and improve the data utilization rate.

[0043] Embodiment six The surveying and mapping geographic information management system based on big data comprises one or more processors, the processor stores a computer executable program, and the executable program is executed according to the steps of the method of embodiment one, or embodiment two, or embodiment three, or embodiment four, or embodiment five.

[0044] The above is only an embodiment of the present application, and the well-known specific structure and characteristics in the scheme are not described in detail. It should be pointed out that for those skilled in the art, without departing from the structure of the present application, a number of modifications and improvements can be made, which should also be regarded as the protection scope of the present application, which will not affect the effect and practicality of the present application. The protection scope of the present application should be subject to the content of its claims, and the specific implementation mode and the like in the description can be used to explain the content of the claims.

Claims

1. A surveying and mapping geographic information management method based on big data, characterized in that, The application relates to a method for dynamically updating multi-element heterogeneous data of a to-be-mapped region in a geographic information database. Step 1: acquiring multi-element heterogeneous data obtained by mapping geographic information of a to-be-mapped region, and acquiring engineering mapping purposes of the to-be-mapped region and edge position information of the to-be-mapped region in real time; Step 2: judging whether the to-be-mapped region is a geological deformation region, if yes, screening out key data of easy geological and terrain deformation positions of an overlapping region from the multi-element heterogeneous data according to the edge position information and the overlapping region in an existing geographic information database; Step 3: after the key data is screened out, acquiring design mapping time before mapping geographic information, acquiring climate information when the geographic information is mapped, and judging whether actual mapping time of the heterogeneous data is within the design mapping time range, if yes, judging whether the climate information is a predicted condition before mapping, if yes, adding an update mark to the key data and dynamically updating the key data to the geographic information database.

2. The big data based surveying and mapping geographic information management method according to claim 1, characterized in that: In the step 3, if the actual mapping time is outside the design mapping time range, a time difference between the actual mapping time and the design mapping time is calculated, and whether the time difference is greater than a threshold value is judged, if yes, the heterogeneous data is marked with a remapping mark according to the engineering mapping purposes, if not, the heterogeneous data is marked with a difference mark according to the engineering mapping purposes.

3. The big data based surveying and mapping geographic information management method according to claim 2, characterized in that: In the step 3, the storage period of the heterogeneous data is adjusted according to the engineering mapping purposes and the difference mark, and the first period base is taken as a starting point, and a preset period value is decreased for adjustment.

4. The big data based surveying and mapping geographic information management method according to claim 2, characterized in that: In the step 3, for the heterogeneous data marked with the remapping mark, whether remapping is performed is confirmed, if yes, the newly acquired heterogeneous data is stored according to a set period, if not, the second period base is taken as a starting point, and a preset period value is decreased for adjustment, the second period is two-thirds of the first period.

5. The big data based mapping geographic information management method of claim 1, wherein: In the step 3, the update mark is automatically generated according to a corresponding update strategy according to the data type of the key data, the update strategy is generated according to a type mark, a place mark and a time mark in sequence according to the data type, and the data type includes mapping results, map data, image and interpretation data, three-dimensional geographic information data, navigation and location service data and geographic national condition monitoring data.

6. The big data based surveying and mapping geographic information management method according to claim 2, characterized in that: The application further comprises step 4: acquiring a data query request, judging a data type required to be queried according to the query request, determining a preliminary update mark according to the data type, acquiring confirmation feedback or denial feedback of the preliminary update mark, if the confirmation feedback is acquired, the update mark corresponding to the data type is listed to be queried, and if the denial feedback is acquired, the query content is acquired to be queried.

7. The big data based surveying and mapping geographic information management method according to claim 6, characterized in that: Further comprising step 5, judging the label of the heterogeneous data reaching the storage deadline, when the heterogeneous data has an update identifier, judging whether the engineering survey purpose when the heterogeneous data is obtained is the engineering pre-construction, if the engineering survey purpose is not the engineering pre-construction, directly deleting the expired heterogeneous data, if the engineering survey purpose is the engineering pre-construction, judging whether the update identifier is added by the engineering post-maintenance, if the update identifier is not added by the engineering post-maintenance, deleting after obtaining the deletion verification information, if the update identifier is added by the engineering post-maintenance, obtaining the time length information of the delayed deletion.

8. The big data based surveying and mapping geographic information management method according to claim 7, characterized in that: In the step 5, when the heterogeneous data has a re-survey mark, judging whether the engineering survey position is a key position in the engineering, if the engineering survey position is the key position, obtaining the time length information of the delayed deletion, if the engineering survey position is not the key position, deleting after waiting for the deletion verification. 9.The big data based surveying and mapping geographic information management method according to claim 7, characterized in that: In the step 5, when the heterogeneous data has a difference mark, adding a waiting manual deletion identifier. 10.A surveying and mapping geographic information management system based on big data, comprising one or more processors, the processor storing a computer executable program, characterized in that: The executable program is executed according to the steps of the method of any one of claims 1-9.

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