CN114004443A - Detection method and device for illegal building data - Google Patents

Detection method and device for illegal building data Download PDF

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CN114004443A
CN114004443A CN202111071077.4A CN202111071077A CN114004443A CN 114004443 A CN114004443 A CN 114004443A CN 202111071077 A CN202111071077 A CN 202111071077A CN 114004443 A CN114004443 A CN 114004443A
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钟远军
郭海京
高绵新
邹峥嵘
马晓黎
范冲
周昆
王腾
黄习艺
陈云祥
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SURVEYING AND MAPPING INSTITUTE LANDS AND RESOURCE DEPARTMENT OF GUANGDONG PROVINCE
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Abstract

The invention discloses a method and a device for detecting illegal building data, wherein the method comprises the following steps: acquiring the time sequence data of building the house occupied by the cultivated land and the legal building data, and acquiring the time sequence data of building the house occupied by the disorderly cultivated land according to the legal building data and the time sequence data of building the house occupied by the cultivated land; and then, acquiring the existing illegal building data, and inputting the existing illegal building data and the time sequence data of the disorderly occupied farmland building into the first detection model so that the first detection model detects the existing illegal building data to obtain a detection result. By adopting the embodiment of the invention, the efficiency and the accuracy of detecting the illegal building data can be improved.

Description

Detection method and device for illegal building data
Technical Field
The invention relates to the technical field of data detection, in particular to a method and a device for detecting illegal house building data.
Background
In order to ensure the accuracy of the data for building the houses illegally occupied in rural areas, the existing data for building the houses illegally need to be detected.
The existing detection method comprises the following steps: 1. the traditional method adopts a field trial and error mode to check. 2. The unmanned aerial vehicle checking method is characterized in that an unmanned aerial vehicle is used for shooting evidence-proving photos of field investigation land types to form investigation evidence-proving achievements; and then, adopting an internet plus technology to submit the proof achievements to a checking platform for achievements auditing and analyzing. 3. The electronic painting method generally adopts a tablet personal computer as mobile terminal acquisition equipment, and is matched with a specially developed field painting system to finish the checking work. 4. The method combines the Internet with the online examination, the online examination of the Internet is to firstly carry out the examination of the image spots through the superposition analysis, and to recheck the still existing image spots which are sent to each city and county district of the local place through the Internet. The method specifically comprises the following steps: sending out an interconnection request immediately after the query spot data arrives at the field; the Internet evidence-presenting platform receives the request and distributes online interconnection personnel according to the factors such as the area, the distance and the like, and the online interconnection personnel participate and cooperate together to carry out on-site verification on the evidence-presenting pattern spots.
However, when the checking area is large, the above detection method needs to consume a large amount of manpower and material resources, and has a long working period and low working efficiency and accuracy.
Disclosure of Invention
The embodiment of the invention provides a method and a device for detecting illegal building data, which improve the efficiency and accuracy of detecting the illegal building data.
A first aspect of an embodiment of the present application provides a method for detecting illegal building data, including:
acquiring cultivated land occupation and building time sequence data and legal building data, and acquiring disorderly cultivated land building time sequence data according to the legal building data and the cultivated land occupation and building time sequence data;
the existing illegal building data are obtained, and the existing illegal building data and the time sequence data of the randomly occupied cultivated land building are input into the first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result.
In a possible implementation manner of the first aspect, the existing illegal building data and the time series data of building the randomly occupied farmland are input into the first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result, specifically:
inputting the existing illegal building data and the disorderly-occupied farmland building time sequence data into a first detection model, so that the first detection model carries out time annotation on the existing illegal building data according to the disorderly-occupied farmland building time sequence data to obtain the illegal building time sequence data;
the first detection model detects the illegal building time sequence data according to the disorderly-occupied farmland building time sequence data to obtain a detection result; wherein, the detection result includes: data is missed and data is to be supplemented.
In a possible implementation manner of the first aspect, the acquiring of the plowland occupation building time sequence data specifically includes:
and acquiring building time sequence data and farmland data, and performing intersection processing on the building time sequence data and the farmland data to form and acquire farmland building time sequence data.
In a possible implementation manner of the first aspect, the acquiring of the building time sequence data specifically includes:
the latest house building data and the land data of different ages are connected spatially according to the latest house building data and the land data of different ages to obtain house building time sequence data; wherein the land data comprises: the system comprises land utilization current situation change survey data, cadastral survey data, land satellite film law enforcement data, land remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data.
A second aspect of the embodiments of the present application provides a device for detecting illegal building data, including: an acquisition module and a detection module;
the acquisition module is used for acquiring the time sequence data of building the house occupied by the cultivated land and the legal building data, and acquiring the time sequence data of building the house occupied by the disorderly cultivated land according to the legal building data and the time sequence data of building the house occupied by the cultivated land;
the detection module is used for acquiring the existing illegal building data and inputting the existing illegal building data and the time sequence data of the disorderly occupied farmland building into the first detection model so that the first detection model can detect the existing illegal building data to obtain a detection result.
In a possible implementation manner of the second aspect, the existing illegal building data and the time sequence data of the randomly occupied cultivated land building are input into the first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result, specifically:
inputting the existing illegal building data and the disorderly-occupied farmland building time sequence data into a first detection model, so that the first detection model carries out time annotation on the existing illegal building data according to the disorderly-occupied farmland building time sequence data to obtain the illegal building time sequence data;
the first detection model detects the illegal building time sequence data according to the disorderly-occupied farmland building time sequence data to obtain a detection result; wherein, the detection result includes: data is missed and data is to be supplemented.
In a possible implementation manner of the second aspect, the acquiring of the plowland occupation building time sequence data specifically includes:
and acquiring building time sequence data and farmland data, and performing intersection processing on the building time sequence data and the farmland data to form and acquire farmland building time sequence data.
In a possible implementation manner of the second aspect, the acquiring of the building time sequence data specifically includes:
the latest house building data and the land data of different ages are connected spatially according to the latest house building data and the land data of different ages to obtain house building time sequence data; wherein the land data comprises: the system comprises land utilization current situation change survey data, cadastral survey data, land satellite film law enforcement data, land remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data.
Compared with the prior art, the illegal building data detection method and device provided by the embodiment of the invention have the beneficial effects that: the detection method of the embodiment of the invention comprises the steps of firstly acquiring the time sequence data of building the house occupied by the cultivated land and the legal building data, and obtaining the time sequence data of building the house occupied by the disorderly cultivated land according to the legal building data and the time sequence data of building the house occupied by the cultivated land; and then, acquiring the existing illegal building data, and inputting the existing illegal building data and the time sequence data of the random-occupation building into the first detection model so that the first detection model detects the existing illegal building data to obtain a detection result. According to the method, the existing illegal building data and the existing time sequence data of the disorderly plowed building are only needed to be input into the first detection model, so that the first detection model can detect the existing illegal building data. When the checking area is large, on-site verification is not needed, a large amount of manpower and physical effort is not needed, and the quality of the existing illegal building data corresponding to the checking area can be detected only by acquiring the existing illegal building data corresponding to the checking area and inputting the ordinal data into the first detection model when the cultivated land is occupied disorderly and building the building, so that the working period is shortened, and the working efficiency is improved; and because manual detection is avoided, the automatic detection of the existing illegal building data is realized, and the detection accuracy is improved.
In consideration of social benefits, the existing illegal building data are generated after the condition of building the houses in the disorderly occupied cultivated land is found through groping work, so that the detection of the existing illegal building data can ensure the high-quality completion of the agricultural house layout work, provide scientific and reliable quality guarantee for correctly mastering the distribution condition of building the houses in the disorderly occupied cultivated land, lay a foundation for regulating and classifying the problem of building the houses in the disorderly occupied cultivated land, and finally facilitate the realization of the reasonable utilization of land resources. Meanwhile, the method can relieve the problem of rural cultivated land reduction, provides a powerful reference for realizing reasonable configuration of land resources, improves reasonable utilization of land and promotes social sustainable development. According to the detection result, the distribution condition of the disorderly-occupied cultivated land building can be accurately mastered, and then the rural disorderly-occupied cultivated land building behavior is remedied, so that the living ecological environment of the rural area is improved, reasonable use of land resources is facilitated, high-quality development is realized, and virtuous circle is kept.
In consideration of economic benefits, the distribution condition of the disorderly occupied cultivated land for building the house is accurately mastered according to the detection result and then the treatment is carried out, so that the cultivated land resources can be increased, further the grain yield of China is increased, the grain and ecological environmental benefits of China are increased, and the social and economic benefits generated by the treated agricultural land are reasonably evaluated. The quality detection of the existing illegal building data is realized through the first detection model, the detection speed and quality are greatly improved, social resources are saved, the detection time, manpower and material resources are shortened, and therefore economic benefits are obtained.
In addition, in the illegal building data detection process, the time sequence data of building the house in the occupied farmland is utilized to obtain the time sequence data of building the house in the disorderly occupied farmland, and a detection result is obtained according to the time sequence data of building the house in the disorderly occupied farmland. Because the time sequence data is generated after the time marking is carried out on the land data, the method has objectivity, the problem of low accuracy rate caused by the fact that the investigation of the building year is subject to the dictation of the rightful person in the prior art can be solved, the manual interference is reduced, and the detection effect is improved.
And finally, the important data is collected, acquired and detected through the model, so that data processing errors caused by misoperation of operators can be avoided, and the efficiency and effectiveness of processing results are improved. .
Drawings
Fig. 1 is a schematic flow chart illustrating a method for detecting illegal building data according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating a method for detecting illegal building data according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an illegal building data detection apparatus according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, which is a flow diagram illustrating a method for detecting illegal building data according to an embodiment of the present invention, the method includes:
s101: and acquiring the time sequence data of building the house occupied by the cultivated land and the legal building data, and acquiring the time sequence data of building the house occupied by the disorderly cultivated land according to the legal building data and the time sequence data of building the house occupied by the cultivated land.
In this embodiment, the acquiring of the plowland occupation building time sequence data specifically includes:
s10111: and acquiring building time sequence data and farmland data, and performing intersection processing on the building time sequence data and the farmland data to form and acquire cultivated land building time sequence data.
In a specific embodiment, the acquiring of the building time sequence data specifically includes:
acquiring latest house building data and land data of different ages, and acquiring the house building time sequence data according to the latest house building data and the land data of different ages; wherein the land data comprises: the system comprises land utilization current situation change survey data, cadastral survey data, land satellite film law enforcement data, land remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data.
In a specific embodiment, the acquiring the arable land data specifically includes: screening and processing the change survey data of the current land utilization status in all years, and obtaining the cultivated land data from 2013 by using cultivated land as a screening condition.
Specifically, the latest house building data can be obtained by the following steps:
s1011: acquiring cadastral survey data, and screening the rural cadastral survey data according to a first screening condition to obtain first building data; wherein the first screening condition is a house.
S1012: acquiring the law enforcement data of the land satellite films after 2013, and screening the law enforcement data of the land satellite films after 2013 according to a second screening condition to obtain second house building data; wherein the second screening condition is illegal building.
S1013: and acquiring independent house building data in the historical geographic national condition monitoring data as third house building data.
S1014: and collecting the first building data, the second building data and the third building data to generate the latest building data.
In a specific embodiment, the obtaining of the building time sequence data according to the latest building data and the land data of different ages specifically includes:
s1021: and spatially connecting the latest building data with the construction land in the 2012-year land utilization current state change survey data, wherein the connected pattern spots are building data before 2013 years, and the unconnected parts are building data after 2013 years.
S1022: and performing spatial connection processing on the building data of 2013 and the building data of the future 2013 and the land data of 2013, merging and fusing connection results to obtain the building data of 2013 and the building data of the future 2013, and performing intersection and negation processing on the building data of 2013 and the building data of the future 2013 to obtain unconnected parts of 2014 and the building data of the future.
S1023: repeating the step S1022 to obtain the building data of each year from 2014 to 2020, and realizing the time marking of the building data; and finally, merging the building data of each year in 2014-2020 to obtain the building time sequence data.
In a specific embodiment, the obtaining of the time series data of building the house in the disorderly occupied farmland according to the legal house building data and the time series data of building the house in the occupied farmland specifically includes:
s1031: and performing intersection processing in superposition analysis on the legal building data and the cultivated land occupied building time sequence data to obtain the legal cultivated land occupied building data.
S1032: and performing intersection and inverse processing on the legally occupied farmland building room data and the occupied farmland building room time sequence data to obtain the disorderly occupied farmland building room time sequence data.
S102: the existing illegal building data are obtained, and the existing illegal building data and the time sequence data of the randomly occupied farmland building are input into the first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result.
Specifically, legal building data can be obtained by screening the construction land approval results under the condition that the rural legal building is established, and then the legal building data can be obtained.
In this embodiment, existing illegal building data and time sequence data of building a house on a scattered farmland are input into a first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result, specifically:
inputting the existing illegal building data and the disorderly-occupied farmland building time sequence data into the first detection model, so that the first detection model carries out time marking on the existing illegal building data according to the disorderly-occupied farmland building time sequence data to obtain the illegal building time sequence data;
enabling the first detection model to detect the illegal building time sequence data according to the disorderly-occupied farmland building time sequence data to obtain a detection result; wherein the detection result comprises: data are missed and data are to be supplemented.
In a specific embodiment, since the existing illegal building time sequence data is uploaded to the database after detecting the condition of disorderly occupying cultivated land building through research and arrangement work, when the detection result is data missing, it means that part of illegal building time sequence data in the database in real life is omitted, and the omitted part is called as "missing report pattern spot"; therefore, when the detection result is that data is to be supplemented, the illegal building time sequence data in the database is more than illegal building data in real life, further analysis is needed to determine whether the data needs to be kept in the database, and the excessive part to be supplemented is called as the 'to-be-supplemented pattern spot'.
In this embodiment, the first detection model detects the illegal building time sequence data according to the time sequence data of building a house in the scattered farmland to obtain a detection result, specifically:
performing intersection and negation processing on the disorderly cultivated land building time sequence data and the illegal building time sequence data to obtain a set of the missed reporting pattern spots and the pattern spots to be supplemented;
intersecting the set of the missed-report pattern spots and the pattern spots to be supplemented with the illegal building time sequence data to obtain pattern spots to be supplemented, and obtaining a detection result as data to be supplemented;
and performing inversion processing on the set intersection of the to-be-supplemented pattern spots and the report missing pattern spots and the to-be-supplemented pattern spots to obtain report missing pattern spots, and finishing detection after the detection result is data report missing.
In an embodiment, since the process of obtaining the building time series data is too complicated, the steps S1021 to S1023 can be performed by the first data processing model. The modeling process of the first data processing model is as follows:
opening an ArcMap window, clicking geographic processing, selecting a model builder to build, and creating a new model;
dragging the land data from the ArcCatalog into a blank area of the model canvas; wherein the land data comprises: the method comprises the following steps of (1) changing investigation data of the current land utilization situation, cadastral investigation data, land satellite law enforcement data, land remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data;
adding data processing tools such as screening, merging, fusing, intersecting, spatial connection and the like into the model, and completely filling concrete conditions of the processing tools;
and setting input variables and output variables of model parameters in the model, setting the input variables and the output variables by a right key, and clicking the model parameters. After the model parameters are created, the letter "P" appears in the upper right corner.
In an embodiment, since the process of obtaining the time series data of building the disturbed farmland is too cumbersome, the above steps S1031 to S1032 and S10111 may be performed by the second data processing model. The modeling process of the second data processing model is as follows:
opening an ArcMap window, clicking geographic processing, selecting a model builder to build, and creating a new model;
dragging the building time sequence data, the land utilization current situation change survey data and the construction land approval result from the ArcCatalog into a blank area of the model canvas;
adding data processing tools such as screening, intersection, reverse intersection and the like into the model, and completely filling specific conditions of the processing tools;
and setting input variables and output variables of model parameters in the model, setting the input variables and the output variables by a right key, and clicking the model parameters. After the model parameters are created, the letter "P" appears in the upper right corner.
Because the embodiment of the invention inputs the existing illegal building data and the time sequence data of the randomly occupied cultivated land building into the first detection model for detection to obtain the detection result, the modeling process of the first detection model is as follows:
opening an ArcMap window, clicking geographic processing, selecting a model builder to build, and creating a new model;
dragging the existing illegal building data and the randomly occupied farmland building time sequence data from the ArcCatalog into a blank area of the model drawing;
adding data processing tools such as screening, intersection, reverse intersection and the like into the model, and completely filling specific conditions of the processing tools;
and setting input variables and output variables of model parameters in the model, setting the input variables and the output variables by a right key, and clicking the model parameters. After the model parameters are created, the letter "P" appears in the upper right corner.
To further explain the specific flow of the method for detecting illegal building data, please refer to fig. 2, and fig. 2 is a specific flow diagram of the method for detecting illegal building data according to an embodiment of the present invention.
As shown in fig. 2, after the cadastral survey data, the land health law enforcement data, and the geographical national condition monitoring data are respectively screened to obtain the first building data, the second building data, and the third building data, the first building data, the second building data, and the third building data are combined to obtain the latest building data.
And then acquiring the change investigation data of the current land utilization situation, land satellite law enforcement data, soil remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data of different ages, and combining the latest house building data to obtain house building time sequence data.
Screening and processing the change investigation data of the current land utilization state in the past year to obtain cultivated land data in 2013, and then performing intersection processing by combining the building time sequence data to obtain cultivated land building time sequence data.
And screening the construction land approval result to obtain legal building data, and then combining the time sequence data of occupied cultivated land building to carry out intersection processing to obtain the legal occupied cultivated land building data.
And carrying out intersection and negation processing on the legally occupied farmland building room data and the legally occupied farmland building room time sequence data to obtain the disorderly occupied farmland building room time sequence data.
And acquiring illegal building data, and performing time identification on the illegal building data according to the time sequence data of the disorderly-occupied cultivated land building to obtain the time sequence data of the illegal building.
Intersection and negation processing is carried out on the time sequence data of building the house in the disorderly occupied farmland and the time sequence data of building the house illegally to obtain a set of the missed reporting pattern spots and the pattern spots to be supplemented.
And intersecting the set of the missing report pattern spots and the pattern spots to be supplemented with the illegal building time sequence data to obtain the pattern spots to be supplemented.
And (5) performing inverse processing on the intersection of the to-be-supplemented pattern spots and the set of the missing report pattern spots and the to-be-supplemented pattern spots to obtain the missing report pattern spots, and finishing detection.
To further explain the device for detecting illegal building data, please refer to fig. 3, where fig. 3 is a schematic structural diagram of a device for detecting illegal building data according to an embodiment of the present invention, and the device includes: an acquisition module 301 and a detection module 302.
The acquisition module 301 is configured to acquire cultivated land occupation and house building time sequence data and legal house building data, and obtain the cultivated land occupation and house building time sequence data according to the legal house building data and the cultivated land occupation and house building time sequence data.
In this embodiment, the acquiring of the plowland occupation building time sequence data specifically includes:
acquiring building time sequence data and farmland data, and performing intersection processing on the building time sequence data and the farmland data to form and acquire farmland building time sequence data.
In a specific embodiment, the acquiring of the building time sequence data specifically includes:
acquiring latest house building data and land data of different ages, and performing spatial connection according to the latest house building data and the land data of different ages to obtain the house building time sequence data; wherein the land data comprises: the system comprises land utilization current situation change survey data, cadastral survey data, land satellite law enforcement data, land remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data.
The detection module 302 is configured to obtain existing illegal building data, and input the existing illegal building data and the time sequence data of building the randomly occupied farmland into a first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result.
In this embodiment, the inputting the existing illegal building data and the time sequence data of building the random access farmland into a first detection model to enable the first detection model to detect the existing illegal building data to obtain a detection result specifically includes:
inputting the existing illegal building data and the disorderly-occupied farmland building time sequence data into the first detection model, so that the first detection model carries out time marking on the existing illegal building data according to the disorderly-occupied farmland building time sequence data to obtain the illegal building time sequence data;
enabling the first detection model to detect the illegal building time sequence data according to the disorderly-occupied farmland building time sequence data to obtain a detection result; wherein the detection result comprises: data are missed and data are to be supplemented.
The method comprises the steps of firstly, acquiring time sequence data of building rooms occupied by cultivated land and legal building data through an acquisition module 301, and acquiring time sequence data of building rooms in the disorderly cultivated land according to the legal building data and the time sequence data of building rooms occupied by the cultivated land; the detection module 302 is used for acquiring the existing illegal building data and inputting the existing illegal building data and the time sequence data of the randomly occupied farmland building into the first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result.
According to the embodiment of the invention, the existing illegal building data can be detected by the first detection model only by inputting the existing illegal building data and the existing disorderly cultivated land building time sequence data into the first detection model. When the checking area is large, on-site verification is not needed, a large amount of manpower and material resources are not needed, and the quality of the existing illegal building data corresponding to the checking area can be detected only by acquiring the existing illegal building data corresponding to the checking area and the time sequence data of the randomly occupied cultivated land building and inputting the data into the first detection model, so that the working period is shortened, and the working efficiency is improved; and because manual detection is avoided, the automatic detection of the existing illegal building data is realized, and the detection accuracy is improved.
In consideration of social benefits, the existing illegal building data are generated after the condition of building the houses in the disorderly occupied cultivated land is found through groping work, so that the detection of the existing illegal building data can ensure the high-quality completion of the agricultural house layout work, provide scientific and reliable quality guarantee for correctly mastering the distribution condition of building the houses in the disorderly occupied cultivated land, lay a foundation for regulating and classifying the problem of building the houses in the disorderly occupied cultivated land, and finally facilitate the realization of the reasonable utilization of land resources. Meanwhile, the method can relieve the problem of rural cultivated land reduction, provides a powerful reference for realizing reasonable configuration of land resources, improves reasonable utilization of land and promotes social sustainable development. According to the detection result, the distribution condition of the disorderly-occupied cultivated land building can be accurately mastered, and then the rural disorderly-occupied cultivated land building behavior is remedied, so that the living ecological environment of the rural area is improved, reasonable use of land resources is facilitated, high-quality development is realized, and virtuous circle is kept.
In consideration of economic benefits, the distribution condition of the disorderly occupied cultivated land for building the house is accurately mastered according to the detection result and then the treatment is carried out, so that the cultivated land resources can be increased, further the grain yield of China is increased, the grain and ecological environmental benefits of China are increased, and the social and economic benefits generated by the treated agricultural land are reasonably evaluated. The quality detection of the existing illegal building data is realized through the first detection model, the detection speed and quality are greatly improved, social resources are saved, the detection time, manpower and material resources are shortened, and therefore economic benefits are obtained.
In addition, in the illegal building data detection process, the time sequence data of building the house in the occupied farmland is utilized to obtain the time sequence data of building the house in the disorderly occupied farmland, and a detection result is obtained according to the time sequence data of building the house in the disorderly occupied farmland. Because the time sequence data is generated after the time marking is carried out on the land data, the method has objectivity, the problem of low accuracy rate caused by the fact that the investigation of the building year is subject to the dictation of the rightful person in the prior art can be solved, the manual interference is reduced, and the detection effect is improved.
And finally, the important data is collected, acquired and detected through the model, so that data processing errors caused by misoperation of operators can be avoided, and the efficiency and effectiveness of processing results are improved.
The foregoing is directed to the preferred embodiment of the present invention, and it is understood that various changes and modifications may be made by one skilled in the art without departing from the spirit of the invention, and it is intended that such changes and modifications be considered as within the scope of the invention.

Claims (8)

1. A method for detecting illegal building data is characterized by comprising the following steps:
acquiring cultivated land occupation and building time sequence data and legal building data, and acquiring disorderly cultivated land building time sequence data according to the legal building data and the cultivated land occupation and building time sequence data;
the method comprises the steps of obtaining existing illegal building data, inputting the existing illegal building data and the time sequence data of the randomly occupied farmland building into a first detection model, and enabling the first detection model to detect the existing illegal building data to obtain a detection result.
2. The method according to claim 1, wherein the existing illegal building data and the time series data of building of the scattered farmland are input into a first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result, specifically:
inputting the existing illegal building data and the disorderly-occupied farmland building time sequence data into the first detection model, so that the first detection model carries out time marking on the existing illegal building data according to the disorderly-occupied farmland building time sequence data to obtain the illegal building time sequence data;
enabling the first detection model to detect the illegal building time sequence data according to the disorderly-occupied farmland building time sequence data to obtain a detection result; wherein the detection result comprises: data is missed and data is to be supplemented.
3. The method for detecting illegal building data according to claim 2, wherein the acquiring of the plowland occupied building time sequence data specifically comprises:
and acquiring building time sequence data and farmland data, and performing intersection processing on the building time sequence data and the farmland data to form and acquire farmland building time sequence data.
4. The method according to claim 3, wherein the acquiring of the building time series data specifically comprises:
acquiring latest house building data and land data of different ages, and performing spatial connection according to the latest house building data and the land data of different ages to obtain the house building time sequence data; wherein the land data comprises: the system comprises land utilization current situation change survey data, cadastral survey data, land satellite film law enforcement data, land remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data.
5. An illegal building data detection device, comprising: the device comprises an acquisition module and a detection module;
the acquisition module is used for acquiring cultivated land occupation and building time sequence data and legal building data and acquiring disorderly cultivated land building time sequence data according to the legal building data and the cultivated land occupation and building time sequence data;
the detection module is used for acquiring the existing illegal building data and inputting the existing illegal building data and the time sequence data of the disorderly cultivated land building into a first detection model so that the first detection model detects the existing illegal building data to obtain a detection result.
6. The apparatus according to claim 5, wherein the existing illegal building data and the time series data of building of the scattered farmland are input into a first detection model, so that the first detection model detects the existing illegal building data to obtain a detection result, specifically:
inputting the existing illegal building data and the disorderly-occupied farmland building time sequence data into the first detection model, so that the first detection model carries out time marking on the existing illegal building data according to the disorderly-occupied farmland building time sequence data to obtain the illegal building time sequence data;
enabling the first detection model to detect the illegal building time sequence data according to the disorderly-occupied farmland building time sequence data to obtain a detection result; wherein the detection result comprises: data is missed and data is to be supplemented.
7. The device for detecting illegal building data according to claim 6, wherein the acquiring of the plowland occupied building time sequence data specifically comprises:
and acquiring building time sequence data and farmland data, and performing intersection processing on the building time sequence data and the farmland data to form and acquire farmland building time sequence data.
8. The apparatus for detecting illegal building data according to claim 7, wherein the acquiring of building time series data specifically comprises:
acquiring latest house building data and land data of different ages, and performing spatial connection according to the latest house building data and the land data of different ages to obtain the house building time sequence data; wherein the land data comprises: the system comprises land utilization current situation change survey data, cadastral survey data, land satellite film law enforcement data, land remote sensing monitoring data, rural collective land right determination data and geographical national condition monitoring data.
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Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103049517A (en) * 2012-12-17 2013-04-17 上海市房屋土地资源信息中心 Method and system for discriminating changeable graphic spot in dynamic monitoring of present situation of land use
JP2016148850A (en) * 2015-02-12 2016-08-18 ▲ちょう▼永善 Effective numerical land registering device and method for linear form social infrastructure facility
CN110689563A (en) * 2019-09-27 2020-01-14 佛山科学技术学院 Data processing method for extracting illegal building information in remote sensing image
CN111754084A (en) * 2020-05-29 2020-10-09 广东省国土资源测绘院 Method and system for assessing land reclamation potential of rural construction land
CN111985545A (en) * 2020-08-10 2020-11-24 中国平安人寿保险股份有限公司 Target data detection method, device, equipment and medium based on artificial intelligence
CN113160239A (en) * 2021-03-08 2021-07-23 广东国地规划科技股份有限公司 Illegal land detection method and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103049517A (en) * 2012-12-17 2013-04-17 上海市房屋土地资源信息中心 Method and system for discriminating changeable graphic spot in dynamic monitoring of present situation of land use
JP2016148850A (en) * 2015-02-12 2016-08-18 ▲ちょう▼永善 Effective numerical land registering device and method for linear form social infrastructure facility
CN110689563A (en) * 2019-09-27 2020-01-14 佛山科学技术学院 Data processing method for extracting illegal building information in remote sensing image
CN111754084A (en) * 2020-05-29 2020-10-09 广东省国土资源测绘院 Method and system for assessing land reclamation potential of rural construction land
CN111985545A (en) * 2020-08-10 2020-11-24 中国平安人寿保险股份有限公司 Target data detection method, device, equipment and medium based on artificial intelligence
CN113160239A (en) * 2021-03-08 2021-07-23 广东国地规划科技股份有限公司 Illegal land detection method and device

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