CN117633138B - Land right database construction method, data query method, equipment and medium - Google Patents
Land right database construction method, data query method, equipment and medium Download PDFInfo
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Abstract
The invention discloses a construction method, a data query method, equipment and a medium of a land weight database, which are used for acquiring land data and extracting time information from the land data; performing duplicate removal processing on first collective rights data, first reserved land data and first national construction land data in land data respectively based on time information; performing mutual topology checking processing on the second collective rights data and the second reserved place data obtained through the duplication removing processing to obtain a collective rights data set; performing mutual intersection topology checking treatment on the collective rights data set and the second national construction land data obtained through the duplication elimination treatment to obtain a verified data set; based on the evidence data set, performing intersection inversion processing in a preset global land data set to obtain an unlicensed land data set; and merging the unlicensed land data set and the licensed data set to construct a seamless and non-overlapping land rights database.
Description
Technical Field
The present invention relates to the field of geographic information, and in particular, to a method for constructing a land rights database, a method for querying data, a device and a medium.
Background
The land making refers to the process of carrying out collection compensation arrangement work in the range of a designated village in the city, and is a pre-step of land collection in a new mode of village reconstruction in the city. In the site selection demonstration link in the early stage of land making, land weight data in the range of the to-be-made land needs to be acquired so as to provide basic data support for the subsequent ring making. In the prior art, the land right data is mainly obtained by inquiring different historical land right databases and comparing, but the historical data in the historical land right databases has the problems of unclear rights, spatial cross overlapping and even mutual conflict, a large amount of data comparison work is needed in the process of collecting the land right data, and the intended land range is frequently adjusted in the process of site selection demonstration, so that the land right data is required to be obtained and compared from a plurality of land right databases for many times, the data collection process has large workload and low data acquisition efficiency.
Disclosure of Invention
The embodiment of the invention aims to provide a construction method, a data query method, equipment and a medium of a land right database, which can construct a seamless and non-overlapping land right database and provide data support for early work of land making.
In order to achieve the above object, an embodiment of the present invention provides a method for constructing a land weight database, including:
Acquiring land data; the land data comprises first collective rights data, first reserved land data and first national construction land data;
extracting time information from the land data; wherein the time information comprises collective rights certificate registration time, reserved place issuing time and national construction place use rights registration time;
Performing duplicate removal processing on the first collective rights data, the first reserved land data and the first national construction land data respectively based on the time information to obtain second collective rights data, second reserved land data and second national construction land data;
Based on the collective rights certificate registration time and the reserved place issuing time, performing mutual topology checking processing on the second collective rights data and the second reserved place data to obtain a collective rights data set;
based on the reserved land evidence time, the national construction land use ticket registration time and the collective rights and certificates registration time, performing mutual intersection topology checking processing on the second national construction land data and the collective rights and certificates data set to obtain a certified data set;
Based on the evidence data set, performing intersection inversion processing in a preset global land data set to obtain an unlicensed land data set; and merging the unlicensed land data set and the licensed data set to construct a land rights database.
As an improvement of the above-described aspect, the land data further includes construction land approval data, and the time information further includes construction land approval registration time;
Before the performing the duplicate removal processing on the first collective rights data, the first reserved land data, and the first national construction land data based on the time information, the method further includes:
Extracting collective rights data to be combined, reserved land data to be combined and national construction land data to be combined from the construction land approval data;
combining the collective right data to be combined, the reserved land data to be combined and the national construction land data to be combined into the first collective right data, the first reserved land data and the first national construction land data respectively to update the first collective right data, the first reserved land data and the first national construction land data;
Performing data attribute optimization on the updated first collective rights data, the first reserved land data and the first national construction land data to form new first collective rights data, new first reserved land data and new first national construction land data;
The construction land approval registration time corresponding to the to-be-combined collective rights data is used as the corresponding collective rights certificate registration time in the updated first collective rights data; taking construction land approval registration time corresponding to the to-be-combined land data as corresponding land evidence time in the updated first land data; and taking the construction land approval registration time corresponding to the to-be-combined domestic construction land data as the corresponding domestic construction land use ticket registration time in the updated first domestic construction land data.
As an improvement of the above-described aspect, the construction land approval data includes land use information and land unit information, then: the to-be-combined land reservation data is data in which land use information in the construction land approval data is target land use information, wherein the target land use information comprises a reserved land, a village self-reserved land and a village economic development land;
The collective rights data to be combined is data in which land unit information in the construction land approval data is target land unit information, the target land unit information including a village committee and an economic union;
and the to-be-combined domestic construction land data are data except the to-be-combined reserved land data and the to-be-combined collective rights and interests data in the construction land approval data.
As an improvement of the above solution, the performing, based on the time information, deduplication processing on the first collective rights data, the first reserved land data, and the first country construction land data, respectively, to obtain second collective rights data, second reserved land data, and second country construction land data, specifically includes:
performing self-intersecting topology checking processing on the first collective rights data based on the collective rights certificate registration time to obtain second collective rights data;
performing self-intersecting topology inspection processing on the first place-keeping data based on the place-keeping evidence time to obtain second place-keeping data;
And performing self-intersecting topology inspection processing on the first national construction land data based on the national construction land use ticket registration time to obtain second national construction land data.
As an improvement of the above solution, the performing a self-intersecting topology checking process on the first collective rights data based on the collective rights certificate registration time to obtain second collective rights data specifically includes:
Intersecting the data in the first collective rights data two by two to obtain a plurality of collective rights self-overlapping pattern spots; the collective ownership self-overlapping pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
grouping the collective rights self-overlapping patches with the same patch information into a group to group all the collective rights self-overlapping patches;
Only reserving the collective weight self-overlapping image spots with the latest registration time of the collective weight certificate in each group of collective weight self-overlapping image spots, so as to carry out de-overlapping treatment on each group of collective weight self-overlapping image spots, and merging the de-overlapped groups of collective weight self-overlapping image spots to obtain a collective weight self-overlapping data set;
fusing all the collective rights self-overlapping image spots to obtain fused collective rights image spots, and removing the fused collective rights image spots from the first collective rights data to obtain a collective rights non-self-overlapping data set;
Combining the collective weight self-weight data set and the collective weight non-self-weight data set to obtain the second collective weight data;
The self-intersecting topology checking processing is carried out on the first place-keeping data based on the place-keeping evidence time to obtain second place-keeping data, and the method specifically comprises the following steps:
intersecting the data in the first land reserved data two by two to obtain a plurality of land reserved self-reconstruction pattern spots; the dead-land self-overlapping pattern spots have corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
Grouping the dead lands with the same spot information from the spots into a group to group all the dead lands from the spots; only reserving the reserved land with the latest reserved land issuing time in each group of reserved land self-overlapping image spots to carry out overlap removing treatment on each group of reserved land self-overlapping image spots, and merging the overlapping removed groups of reserved land self-overlapping image spots to obtain a reserved land self-overlapping data set;
Fusing all the reserve self-overlapping map spots to obtain fused reserve map spots, and removing the fused reserve map spots from the first reserve data to obtain a reserve non-self-overlapping data set;
Combining the dead land self-gravity data set and the dead land non-self-gravity data set to obtain the second dead land data; the self-intersecting topology checking processing is carried out on the first national construction land data based on the national construction land use ticket registration time to obtain second national construction land data, and the method specifically comprises the following steps:
Intersecting the data in the first national construction land data two by two to obtain a plurality of national construction land self-reconstruction pattern spots; the domestic construction land self-overlapping pattern spots have corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
Dividing the land with the information of the map spots into a group by self-stacking map spots of the land with the information of the map spots so as to group the land with the information of the map spots of all the land with the information of the map spots;
Only the land-based construction pattern self-map spots of the land-based construction pattern with the latest registration time of the land-based construction ticket of each group of land-based construction pattern self-map spots of China, carrying out overlap removal treatment on the self-gravity mapping spots of each group of land for construction, and merging the self-gravity mapping spots of each group of land for construction after overlap removal to obtain a self-gravity mapping data set of the land for construction;
fusing all the land self-gravity map spots for land construction to obtain fused land-gravity map spots for land construction, and removing the fused land-gravity map spots for land construction from the first land-gravity construction data to obtain a land-gravity-free land construction data set;
and merging the land self-gravity data set of the national construction land and the non-self-gravity data set of the national construction land to obtain the data of the second-set national construction land.
As an improvement of the above-mentioned aspect, the performing, based on the collective rights certificate registration time and the reserved place issue time, a mutual topology check process on the second collective rights data and the second reserved place data to obtain a collective rights data set specifically includes:
Intersecting each data in the second collective rights data with each data in the second place-keeping data to obtain a plurality of first overlapped image spots of the second collective rights data and the second place-keeping data; the first overlapped pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
grouping first overlapping patches having the same patch information into a group to group all the first overlapping patches;
Only reserving the first overlapped image spots after the collective rights certificate registration time and the reserved place issuing time in each group, so as to carry out de-overlapping treatment on each group of first overlapped image spots, and merging the de-overlapped groups of first overlapped image spots to obtain a first overlapped data set;
Fusing all the first overlapped image spots to obtain a fused first image spot;
combining the second collective rights data and the second place-keeping data to obtain a first combined data set, and removing the first fused pattern spots from the first combined data set to obtain a first non-overlapping data set;
combining the first overlapping data set and the first non-overlapping data set to obtain the collective rights data set;
The mutual intersection topology checking processing is performed on the second national construction land data and the collective rights data set based on the reserved land evidence time, the national construction land use ticket registration time and the collective rights certificate registration time to obtain a certified data set, and the method specifically comprises the following steps:
Intersecting each datum in the second national construction land data with each datum in the collective ownership data set to obtain a plurality of second overlapping image spots of the second national construction land data and the collective ownership data set; the first overlapped pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas; grouping second overlapping patches having the same patch information into a group to group all the second overlapping patches;
Only reserving the second overlapping image spots in each group, which are later in the reserved ground evidence time, the national construction use ticket registration time and the collective rights certificate registration time, so as to perform de-overlapping treatment on each group of second overlapping image spots, and merging the de-overlapped groups of second overlapping image spots to obtain a second overlapping data set;
fusing all the second overlapping image spots to obtain a fused second image spot;
combining the second national construction land data and the collective rights data set to obtain a second combined data set, and removing the fused second pattern spots from the second combined data set to obtain a second non-overlapping data set;
And merging the second overlapping data set and the second non-overlapping data set to obtain the licensed data set.
As an improvement of the above-mentioned scheme, after constructing the land weight database, it further comprises:
when new land data are acquired, intersecting the new land data with the land weight database to obtain intersecting pattern spots;
The intersecting pattern spots are erased in the land weight database, and erased pattern spots are obtained;
and merging the erased pattern spots and the new land weight data to obtain an updated land weight database.
In order to achieve the above object, an embodiment of the present invention further provides a data query method, including:
Responding to a received land right inquiry request, inquiring in a land right database to obtain data corresponding to the land right inquiry request;
the land right database is constructed according to the construction method of the land right database according to any embodiment.
To achieve the above object, an embodiment of the present invention further provides a computer device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method according to any one of the embodiments above when executing the computer program.
To achieve the above object, an embodiment of the present invention further provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, where the computer program when executed controls a device where the computer readable storage medium is located to perform a method according to any one of the embodiments above.
Compared with the prior art, the method, the device and the medium for constructing the land weight database, provided by the embodiment of the invention, acquire land data and extract time information from the land data; performing duplicate removal processing on first collective rights data, first reserved land data and first national construction land data in land data respectively based on time information; performing mutual topology checking processing on the second collective rights data and the second reserved place data obtained through the duplication removing processing to obtain a collective rights data set; performing mutual intersection topology checking treatment on the collective rights data set and the second national construction land data obtained through the duplication elimination treatment to obtain a verified data set; based on the evidence data set, performing intersection inversion processing in a preset global land data set to obtain an unlicensed land data set; and merging the unlicensed land data set and the licensed data set to construct a land rights database. According to the embodiment of the invention, the various land data are subjected to the de-duplication processing based on the time information, and the mutually intersected topology inspection processing is performed on the different types of land data after the de-duplication processing, so that a licensed data set is constructed, an unlicensed land data set is obtained according to the licensed data set, and finally, a seamless and non-overlapping land data base is constructed.
Drawings
FIG. 1 is a schematic flow chart of a method for constructing a land weight database according to an embodiment of the present invention;
FIG. 2 is a flow chart of constructing a land weight database according to one embodiment of the present invention;
FIG. 3 is a flow chart of a self-intersecting topology checking process provided by an embodiment of the invention;
FIG. 4 is a schematic diagram of a fusion operation provided by an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a flow chart of a method for constructing a land rights database according to an embodiment of the present invention includes steps S1 to S7:
S1, acquiring land data; the land data comprises first collective rights data, first reserved land data and first national construction land data;
s2, extracting time information from the land data; wherein the time information comprises collective rights certificate registration time, reserved place issuing time and national construction place use rights registration time;
s3, performing duplicate removal processing on the first collective rights data, the first reserved land data and the first national construction land data based on the time information to obtain second collective rights data, second reserved land data and second national construction land data;
S4, based on the collective rights certificate registration time and the reserved place issuing time, performing mutual topology checking processing on the second collective rights data and the second reserved place data to obtain a collective rights data set;
S5, based on the reserved land evidence time, the national construction land use ticket registration time and the collective rights and certificates registration time, performing mutual intersection topology checking processing on the second national construction land data and the collective rights and certificates data set to obtain a certified data set;
s6, based on the licensed data set, performing intersection inverse processing in a preset global land data set to obtain an unlicensed land data set;
and S7, merging the unlicensed land data set and the licensed data set to construct a land weight database.
Illustratively, in step S1, first collective rights data may be obtained from a collective land ownership certificate, first land data may be obtained from a land reservation planning condition or a land reservation planning license, and first domestic construction land data may be obtained from a domestic construction land use license. It is understood that the land data includes both vector information of the land, which includes vector area, vector perimeter, etc. of the land, and attribute information of the land, which includes time information, land property, unit of land, use of the land, etc., specifically, in step S2, the collective rights certificate registration time may be extracted from the "registration time" field (field code: DJSJ) of the first collective rights data, the reserved land certification time may be extracted from the "certification time" field (field code: FZSJ) of the first reserved land data, the national land use license registration time may be extracted from the "registration time" field (field code: DJSJ) of the first national land data, and the construction land approval registration time may be extracted from the "approval document" field of the construction land approval data. Illustratively, the units of time information are accurate to year in a format of "YYYY", such as "2013".
According to the embodiment of the invention, the various land data are subjected to the de-duplication processing based on the time information, and the mutually intersected topology inspection processing is performed on the different types of land data after the de-duplication processing, so that a licensed land data set is constructed, an unlicensed land data set is obtained according to the licensed land set, and finally, a seamless and non-overlapping land data base is constructed.
As one of the optional embodiments, the land data further includes construction land approval data, and the time information further includes construction land approval registration time;
Before the performing the duplicate removal processing on the first collective rights data, the first reserved land data, and the first national construction land data based on the time information, the method further includes:
s231, extracting collective rights data to be combined, reserved land data to be combined and national construction land data to be combined from the construction land approval data;
S232, merging the collective right data to be merged, the reserved land data to be merged and the national construction land data to be merged into the first collective right data, the first reserved land data and the first national construction land data respectively to update the first collective right data, the first reserved land data and the first national construction land data;
S233, performing data attribute optimization on the updated first collective rights data, the first reserved land data and the first national construction land data to form new first collective rights data, new first reserved land data and new first national construction land data;
The construction land approval registration time corresponding to the to-be-combined collective rights data is used as the corresponding collective rights certificate registration time in the updated first collective rights data; taking construction land approval registration time corresponding to the to-be-combined land data as corresponding land evidence time in the updated first land data; and taking the construction land approval registration time corresponding to the to-be-combined domestic construction land data as the corresponding domestic construction land use ticket registration time in the updated first domestic construction land data.
Illustratively, in step S233, data attribute optimization includes attribute replenishment, field simplification, and logic checking; wherein, the attribute supplement refers to supplementing the missing year field (time information) by referring to the related historical land authority data for the land data of the missing year field; "field simplification" means that for each land data, redundant attribute fields are deleted, and only year fields, land property fields, vector area fields and vector perimeter fields are reserved; "logical check" refers to four fields reserved for each land data, and if the contents of the fields are empty, the corresponding fields are deleted.
As one of the alternative embodiments, the construction land approval data includes land use information and land unit information, then:
the to-be-combined land reservation data is data in which land use information in the construction land approval data is target land use information, wherein the target land use information comprises a reserved land, a village self-reserved land and a village economic development land;
The collective rights data to be combined is data in which land unit information in the construction land approval data is target land unit information, the target land unit information including a village committee and an economic union;
and the to-be-combined domestic construction land data are data except the to-be-combined reserved land data and the to-be-combined collective rights and interests data in the construction land approval data.
Referring to fig. 2, fig. 2 is a flowchart illustrating construction of a land weight database according to an embodiment of the present invention, and exemplary, in steps S231 and S232, first, vector patches of construction land approval data of "land use" fields as keywords of "reserved land", "village self reserved land", "village economic development land" and the like are extracted and combined into first reserved land data; then extracting vector image spots with the 'land unit' fields of keywords such as 'village committee', 'economic union society', and the like from the rest construction land approval data, and merging the vector image spots into first collective rights data; and finally merging the vector image spots of the construction land approval data left after the two extractions into the first national construction land data.
As an optional embodiment, based on the time information, performing deduplication processing on the first collective rights data, the first reserved land data, and the first country construction land data, to obtain second collective rights data, second reserved land data, and second country construction land data, which specifically includes:
performing self-intersecting topology checking processing on the first collective rights data based on the collective rights certificate registration time to obtain second collective rights data;
performing self-intersecting topology inspection processing on the first place-keeping data based on the place-keeping evidence time to obtain second place-keeping data;
And performing self-intersecting topology inspection processing on the first national construction land data based on the national construction land use ticket registration time to obtain second national construction land data.
As an optional embodiment, the performing a self-intersecting topology checking process on the first collective rights data based on the collective rights certificate registration time to obtain second collective rights data specifically includes:
Intersecting the data in the first collective rights data two by two to obtain a plurality of collective rights self-overlapping pattern spots; the collective ownership self-overlapping pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
grouping the collective rights self-overlapping patches with the same patch information into a group to group all the collective rights self-overlapping patches;
Only reserving the collective weight self-overlapping image spots with the latest registration time of the collective weight certificate in each group of collective weight self-overlapping image spots, so as to carry out de-overlapping treatment on each group of collective weight self-overlapping image spots, and merging the de-overlapped groups of collective weight self-overlapping image spots to obtain a collective weight self-overlapping data set;
fusing all the collective rights self-overlapping image spots to obtain fused collective rights image spots, and removing the fused collective rights image spots from the first collective rights data to obtain a collective rights non-self-overlapping data set;
Combining the collective weight self-weight data set and the collective weight non-self-weight data set to obtain the second collective weight data;
The self-intersecting topology checking processing is carried out on the first place-keeping data based on the place-keeping evidence time to obtain second place-keeping data, and the method specifically comprises the following steps:
intersecting the data in the first land reserved data two by two to obtain a plurality of land reserved self-reconstruction pattern spots; the dead-land self-overlapping pattern spots have corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
Grouping the dead lands with the same spot information from the spots into a group to group all the dead lands from the spots; only reserving the reserved land with the latest reserved land issuing time in each group of reserved land self-overlapping image spots to carry out overlap removing treatment on each group of reserved land self-overlapping image spots, and merging the overlapping removed groups of reserved land self-overlapping image spots to obtain a reserved land self-overlapping data set;
Fusing all the reserve self-overlapping map spots to obtain fused reserve map spots, and removing the fused reserve map spots from the first reserve data to obtain a reserve non-self-overlapping data set;
Combining the dead land self-gravity data set and the dead land non-self-gravity data set to obtain the second dead land data; the self-intersecting topology checking processing is carried out on the first national construction land data based on the national construction land use ticket registration time to obtain second national construction land data, and the method specifically comprises the following steps:
Intersecting the data in the first national construction land data two by two to obtain a plurality of national construction land self-reconstruction pattern spots; the domestic construction land self-overlapping pattern spots have corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
Dividing the land with the information of the map spots into a group by self-stacking map spots of the land with the information of the map spots so as to group the land with the information of the map spots of all the land with the information of the map spots;
Only the land-based construction pattern self-map spots of the land-based construction pattern with the latest registration time of the land-based construction ticket of each group of land-based construction pattern self-map spots of China, carrying out overlap removal treatment on the self-gravity mapping spots of each group of land for construction, and merging the self-gravity mapping spots of each group of land for construction after overlap removal to obtain a self-gravity mapping data set of the land for construction;
fusing all the land self-gravity map spots for land construction to obtain fused land-gravity map spots for land construction, and removing the fused land-gravity map spots for land construction from the first land-gravity construction data to obtain a land-gravity-free land construction data set;
and merging the land self-gravity data set of the national construction land and the non-self-gravity data set of the national construction land to obtain the data of the second-set national construction land.
It will be appreciated that in a preferred embodiment, the first collective rights data, the first place of employment data and the first country of construction data are each subjected to a self-intersecting topology check process to deduplicate them. Referring to fig. 3, fig. 3 is a flowchart of a self-intersecting topology checking process according to an embodiment of the present invention. In order to make the data processing flow of the self-intersecting topology checking processing clearer, the self-intersecting topology checking processing of the first collective property data is taken as an example for the following description.
Referring to fig. 3, when the self-intersecting topology checking process is performed on the first collective rights data, the first collective rights data is "original data"; the term "self-intersecting" refers to intersecting data in the first collective attribute data two by two, and exemplary, the intersecting data can be processed by using an intersecting tool of ArcMap software, and the obtained "collective attribute self-overlapping pattern spot set" is "self-overlapping pattern spot set". All the collective weights in the collective weight self-overlapping image spots set (simply referred to as "self-overlapping image spots" in this example) are obtained from the centroid coordinates of the overlapping image spots, and the self-overlapping image spots having the same centroid coordinates, the same image spot circumference, and the same image spot area are divided into one group, and only the self-overlapping image spots with the latest year (the largest year) are reserved in each group, and the self-overlapping image spots reserved in each group are combined, so that a "collective weight self-overlapping data set", namely "self-overlapping portion after de-duplication" is obtained. It can be understood that due to the reasons that the acquisition paths of the land data are different, the data are not updated in time or measurement errors exist, and the like, space crossing among different land data may exist, which may cause unclear rights of the land, so that the land data need to be subjected to deduplication processing, and overlapping image spots can be accurately identified according to the fact that the same centroid coordinates, the same image spot circumferences and the same image spot areas are simultaneously provided, and then based on time information of the image spots, the latest image spots of the year are reserved, the land data can be accurately subjected to deduplication processing, the rights of each land are clear, and the problem that space crossing or overlapping among different land data does not exist. Further, in addition to the self-gravity portion, a non-self-gravity portion of the self-gravity image patch set is required to be obtained, referring to fig. 3, all the self-gravity image patches are fused (referring to fig. 4), so as to obtain fused self-gravity image patches, namely, fused collective rights image patches, and then the fused self-gravity image patches are erased from the original data, so that the non-self-gravity image portion, namely, the collective rights non-self-gravity image patch set, is obtained, and an erasure tool of ArcMap software can be used for erasure in an exemplary manner; combining the "non-self-weight portion" and the "de-duplicated self-weight portion" to obtain second collective rights data, i.e. "output data".
As an optional embodiment, the performing, based on the collective rights certificate registration time and the reserved place issue time, a mutual topology checking process on the second collective rights data and the second reserved place data to obtain a collective rights data set specifically includes:
Intersecting each data in the second collective rights data with each data in the second place-keeping data to obtain a plurality of first overlapped image spots of the second collective rights data and the second place-keeping data; the first overlapped pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
grouping first overlapping patches having the same patch information into a group to group all the first overlapping patches;
Only reserving the first overlapped image spots after the collective rights certificate registration time and the reserved place issuing time in each group, so as to carry out de-overlapping treatment on each group of first overlapped image spots, and merging the de-overlapped groups of first overlapped image spots to obtain a first overlapped data set;
Fusing all the first overlapped image spots to obtain a fused first image spot;
combining the second collective rights data and the second place-keeping data to obtain a first combined data set, and removing the first fused pattern spots from the first combined data set to obtain a first non-overlapping data set;
combining the first overlapping data set and the first non-overlapping data set to obtain the collective rights data set;
The mutual intersection topology checking processing is performed on the second national construction land data and the collective rights data set based on the reserved land evidence time, the national construction land use ticket registration time and the collective rights certificate registration time to obtain a certified data set, and the method specifically comprises the following steps:
Intersecting each datum in the second national construction land data with each datum in the collective ownership data set to obtain a plurality of second overlapping image spots of the second national construction land data and the collective ownership data set; the first overlapped pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas; grouping second overlapping patches having the same patch information into a group to group all the second overlapping patches;
Only reserving the second overlapping image spots in each group, which are later in the reserved ground evidence time, the national construction use ticket registration time and the collective rights certificate registration time, so as to perform de-overlapping treatment on each group of second overlapping image spots, and merging the de-overlapped groups of second overlapping image spots to obtain a second overlapping data set;
fusing all the second overlapping image spots to obtain a fused second image spot;
combining the second national construction land data and the collective rights data set to obtain a second combined data set, and removing the fused second pattern spots from the second combined data set to obtain a second non-overlapping data set;
And merging the second overlapping data set and the second non-overlapping data set to obtain the licensed data set.
It is to be appreciated that the second collective rights data and the second place-of-residence data are subjected to the cross-topology checking process, which is to be understood as merging the second collective rights data and the second place-of-residence data into one layer to form a new data set, and then the new data set is subjected to the self-cross-topology checking process described above; similarly, the second domestic construction land data and the collective rights data set are subjected to the cross topology checking process, which can be understood as merging the second domestic construction land data and the collective rights data set into one layer to form a new data set, and then the new data set is subjected to the self-cross topology checking process.
It is worth noting that, when each set of first (second) overlapping image spots is subjected to the de-overlapping treatment, the first (second) overlapping image spot with the latest time information in each set of first (second) overlapping image spots is reserved, and the information of the first (second) overlapping image spots is reserved.
As one of the alternative embodiments, after constructing the land weight database, it further includes:
when new land data are acquired, intersecting the new land data with the land weight database to obtain intersecting pattern spots;
The intersecting pattern spots are erased in the land weight database, and erased pattern spots are obtained;
and merging the erased pattern spots and the new land weight data to obtain an updated land weight database.
The obtained new land data may be understood as that the land property of the land data is changed, when the property of a certain land is changed, the vector image spot of the land and the land weight database are intersected, and when the overlapped image spot exists, namely, the 'intersected image spot', the overlapped part retains the vector image spot and the information thereof, namely, the information update of the land property is realized.
Compared with the prior art, the method for constructing the land weight database provided by the embodiment of the invention has the advantages that the land data are obtained and the time information is extracted from the land data; performing duplicate removal processing on first collective rights data, first reserved land data and first national construction land data in land data respectively based on time information; performing mutual topology checking processing on the second collective rights data and the second reserved place data obtained through the duplication removing processing to obtain a collective rights data set; performing mutual intersection topology checking treatment on the collective rights data set and the second national construction land data obtained through the duplication elimination treatment to obtain a verified data set; based on the evidence data set, performing intersection inversion processing in a preset global land data set to obtain an unlicensed land data set; and merging the unlicensed land data set and the licensed data set to construct a land rights database. According to the embodiment of the invention, the various land data are subjected to the de-duplication processing based on the time information, and the mutually intersected topology inspection processing is performed on the different types of land data after the de-duplication processing, so that a licensed data set is constructed, an unlicensed land data set is obtained according to the licensed data set, and finally, a seamless and non-overlapping land data base is constructed.
The embodiment of the invention also provides a data query method, which comprises the following steps:
Responding to a received land right inquiry request, inquiring in a land right database to obtain data corresponding to the land right inquiry request;
the land right database is constructed according to the construction method of the land right database according to any embodiment.
Referring to fig. 5, a schematic structural diagram of a computer device according to an embodiment of the present invention includes a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, where the processor executes the computer program to implement a method according to any one of the embodiments described above.
An embodiment of the present invention further provides a computer readable storage medium, where the computer readable storage medium includes a stored computer program, where the computer program when executed controls a device where the computer readable storage medium is located to perform the steps in any of the embodiments described above, for example, steps S1 to S7 described in fig. 1.
Compared with the prior art, the data query method, the data query device and the data query medium provided by the embodiment of the invention acquire the land data and extract the time information from the land data; performing duplicate removal processing on first collective rights data, first reserved land data and first national construction land data in land data respectively based on time information; performing mutual topology checking processing on the second collective rights data and the second reserved place data obtained through the duplication removing processing to obtain a collective rights data set; performing mutual intersection topology checking treatment on the collective rights data set and the second national construction land data obtained through the duplication elimination treatment to obtain a verified data set; based on the evidence data set, performing intersection inversion processing in a preset global land data set to obtain an unlicensed land data set; and merging the unlicensed land data set and the licensed data set to construct a land rights database. According to the embodiment of the invention, the various land data are subjected to the de-duplication processing based on the time information, and the mutually intersected topology inspection processing is performed on the different types of land data after the de-duplication processing, so that a licensed data set is constructed, an unlicensed land data set is obtained according to the licensed data set, and finally, a seamless and non-overlapping land data base is constructed.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that changes and modifications may be made without departing from the principles of the invention, such changes and modifications are also intended to be within the scope of the invention.
Claims (9)
1. The construction method of the land weight database is characterized by comprising the following steps:
Acquiring land data; the land data comprises first collective rights data, first reserved land data and first national construction land data;
extracting time information from the land data; wherein the time information comprises collective rights certificate registration time, reserved place issuing time and national construction place use rights registration time;
Performing duplicate removal processing on the first collective rights data, the first reserved land data and the first national construction land data respectively based on the time information to obtain second collective rights data, second reserved land data and second national construction land data;
Based on the collective rights certificate registration time and the reserved place issuing time, performing mutual topology checking processing on the second collective rights data and the second reserved place data to obtain a collective rights data set;
based on the reserved land evidence time, the national construction land use ticket registration time and the collective rights and certificates registration time, performing mutual intersection topology checking processing on the second national construction land data and the collective rights and certificates data set to obtain a certified data set;
Based on the evidence data set, performing intersection inversion processing in a preset global land data set to obtain an unlicensed land data set;
Combining the unlicensed land data set and the licensed data set to construct a land rights database;
The method specifically includes the steps of performing a mutual topology check process on the second collective rights data and the second place-of-use data based on the collective rights certificate registration time and the place-of-use certificate issuing time to obtain a collective rights data set, and specifically includes:
Intersecting each data in the second collective rights data with each data in the second place-keeping data to obtain a plurality of first overlapped image spots of the second collective rights data and the second place-keeping data; the first overlapped pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
grouping first overlapping patches having the same patch information into a group to group all the first overlapping patches;
Only reserving the first overlapped image spots after the collective rights certificate registration time and the reserved place issuing time in each group, so as to carry out de-overlapping treatment on each group of first overlapped image spots, and merging the de-overlapped groups of first overlapped image spots to obtain a first overlapped data set;
Fusing all the first overlapped image spots to obtain a fused first image spot;
combining the second collective rights data and the second place-keeping data to obtain a first combined data set, and removing the first fused pattern spots from the first combined data set to obtain a first non-overlapping data set;
combining the first overlapping data set and the first non-overlapping data set to obtain the collective rights data set;
The mutual intersection topology checking processing is performed on the second national construction land data and the collective rights data set based on the reserved land evidence time, the national construction land use ticket registration time and the collective rights certificate registration time to obtain a certified data set, and the method specifically comprises the following steps:
Intersecting each datum in the second national construction land data with each datum in the collective ownership data set to obtain a plurality of second overlapping image spots of the second national construction land data and the collective ownership data set; the first overlapped pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
Grouping second overlapping patches having the same patch information into a group to group all the second overlapping patches;
Only reserving the second overlapping image spots in each group, which are later in the reserved ground evidence time, the national construction use ticket registration time and the collective rights certificate registration time, so as to perform de-overlapping treatment on each group of second overlapping image spots, and merging the de-overlapped groups of second overlapping image spots to obtain a second overlapping data set;
fusing all the second overlapping image spots to obtain a fused second image spot;
combining the second national construction land data and the collective rights data set to obtain a second combined data set, and removing the fused second pattern spots from the second combined data set to obtain a second non-overlapping data set;
And merging the second overlapping data set and the second non-overlapping data set to obtain the licensed data set.
2. The land weight database construction method of claim 1, wherein the land data further comprises construction land approval data, and the time information further comprises construction land approval registration time;
Before the performing the duplicate removal processing on the first collective rights data, the first reserved land data, and the first national construction land data based on the time information, the method further includes:
Extracting collective rights data to be combined, reserved land data to be combined and national construction land data to be combined from the construction land approval data;
combining the collective right data to be combined, the reserved land data to be combined and the national construction land data to be combined into the first collective right data, the first reserved land data and the first national construction land data respectively to update the first collective right data, the first reserved land data and the first national construction land data;
Performing data attribute optimization on the updated first collective rights data, the first reserved land data and the first national construction land data to form new first collective rights data, new first reserved land data and new first national construction land data;
The construction land approval registration time corresponding to the to-be-combined collective rights data is used as the corresponding collective rights certificate registration time in the updated first collective rights data; taking construction land approval registration time corresponding to the to-be-combined land data as corresponding land evidence time in the updated first land data; and taking the construction land approval registration time corresponding to the to-be-combined domestic construction land data as the corresponding domestic construction land use ticket registration time in the updated first domestic construction land data.
3. The land weight database construction method according to claim 2, wherein the construction land approval data includes land use information and land unit information, then:
the to-be-combined land reservation data is data in which land use information in the construction land approval data is target land use information, wherein the target land use information comprises a reserved land, a village self-reserved land and a village economic development land;
The collective rights data to be combined is data in which land unit information in the construction land approval data is target land unit information, the target land unit information including a village committee and an economic union;
and the to-be-combined domestic construction land data are data except the to-be-combined reserved land data and the to-be-combined collective rights and interests data in the construction land approval data.
4. The method for constructing a land right database according to claim 1, wherein the performing deduplication processing on the first collective right data, the first reserved land data, and the first domestic construction land data, respectively, based on the time information, to obtain second collective right data, second reserved land data, and second domestic construction land data, comprises:
performing self-intersecting topology checking processing on the first collective rights data based on the collective rights certificate registration time to obtain second collective rights data;
performing self-intersecting topology inspection processing on the first place-keeping data based on the place-keeping evidence time to obtain second place-keeping data;
And performing self-intersecting topology inspection processing on the first national construction land data based on the national construction land use ticket registration time to obtain second national construction land data.
5. The method for constructing a land right database according to claim 4, wherein said performing a self-intersecting topology check process on said first collective right data based on said collective right certificate registration time to obtain second collective right data, comprises:
Intersecting the data in the first collective rights data two by two to obtain a plurality of collective rights self-overlapping pattern spots; the collective ownership self-overlapping pattern spots are provided with corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
grouping the collective rights self-overlapping patches with the same patch information into a group to group all the collective rights self-overlapping patches;
Only reserving the collective weight self-overlapping image spots with the latest registration time of the collective weight certificate in each group of collective weight self-overlapping image spots, so as to carry out de-overlapping treatment on each group of collective weight self-overlapping image spots, and merging the de-overlapped groups of collective weight self-overlapping image spots to obtain a collective weight self-overlapping data set;
fusing all the collective rights self-overlapping image spots to obtain fused collective rights image spots, and removing the fused collective rights image spots from the first collective rights data to obtain a collective rights non-self-overlapping data set;
Combining the collective weight self-weight data set and the collective weight non-self-weight data set to obtain the second collective weight data;
The self-intersecting topology checking processing is carried out on the first place-keeping data based on the place-keeping evidence time to obtain second place-keeping data, and the method specifically comprises the following steps:
intersecting the data in the first land reserved data two by two to obtain a plurality of land reserved self-reconstruction pattern spots; the dead-land self-overlapping pattern spots have corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
grouping the dead lands with the same spot information from the spots into a group to group all the dead lands from the spots;
Only reserving the reserved land with the latest reserved land issuing time in each group of reserved land self-overlapping image spots to carry out overlap removing treatment on each group of reserved land self-overlapping image spots, and merging the overlapping removed groups of reserved land self-overlapping image spots to obtain a reserved land self-overlapping data set;
Fusing all the reserve self-overlapping map spots to obtain fused reserve map spots, and removing the fused reserve map spots from the first reserve data to obtain a reserve non-self-overlapping data set;
Combining the dead land self-gravity data set and the dead land non-self-gravity data set to obtain the second dead land data;
the self-intersecting topology checking processing is carried out on the first national construction land data based on the national construction land use ticket registration time to obtain second national construction land data, and the method specifically comprises the following steps:
Intersecting the data in the first national construction land data two by two to obtain a plurality of national construction land self-reconstruction pattern spots; the domestic construction land self-overlapping pattern spots have corresponding pattern spot information, and the pattern spot information consists of centroid coordinates, pattern spot circumferences and pattern spot areas;
Dividing the land with the information of the map spots into a group by self-stacking map spots of the land with the information of the map spots so as to group the land with the information of the map spots of all the land with the information of the map spots;
Only the land-based construction pattern self-map spots of the land-based construction pattern with the latest registration time of the land-based construction ticket of each group of land-based construction pattern self-map spots of China, carrying out overlap removal treatment on the self-gravity mapping spots of each group of land for construction, and merging the self-gravity mapping spots of each group of land for construction after overlap removal to obtain a self-gravity mapping data set of the land for construction;
fusing all the land self-gravity map spots for land construction to obtain fused land-gravity map spots for land construction, and removing the fused land-gravity map spots for land construction from the first land-gravity construction data to obtain a land-gravity-free land construction data set;
And merging the land self-gravity data set for the national construction and the non-self-gravity data set for the national construction to obtain the second land data for the national construction.
6. The land feature database construction method according to claim 1, further comprising, after constructing the land feature database:
when new land data are acquired, intersecting the new land data with the land weight database to obtain intersecting pattern spots;
The intersecting pattern spots are erased in the land weight database, and erased pattern spots are obtained;
and merging the erased pattern spots and the new land weight data to obtain an updated land weight database.
7. A method of querying data, comprising:
Responding to a received land right inquiry request, inquiring in a land right database to obtain data corresponding to the land right inquiry request;
wherein the land feature database is constructed according to the land feature database construction method of any one of claims 1 to 6.
8. A computer device comprising a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, the processor implementing the method of any of claims 1 to 7 when executing the computer program.
9. A computer readable storage medium, characterized in that the computer readable storage medium comprises a stored computer program, wherein the computer program, when run, controls a device in which the computer readable storage medium is located to perform the method according to any one of claims 1-7.
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