[go: up one dir, main page]

CN114238537B - House general survey data grouping processing method and system - Google Patents

House general survey data grouping processing method and system Download PDF

Info

Publication number
CN114238537B
CN114238537B CN202111577038.1A CN202111577038A CN114238537B CN 114238537 B CN114238537 B CN 114238537B CN 202111577038 A CN202111577038 A CN 202111577038A CN 114238537 B CN114238537 B CN 114238537B
Authority
CN
China
Prior art keywords
user
house
model
area
layer
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202111577038.1A
Other languages
Chinese (zh)
Other versions
CN114238537A (en
Inventor
卞海波
李伟剑
张锡捷
高斌
刘文彬
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Zhongda Intelligent Technology Co ltd
Original Assignee
Zhongda Intelligent Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Zhongda Intelligent Technology Co ltd filed Critical Zhongda Intelligent Technology Co ltd
Priority to CN202111577038.1A priority Critical patent/CN114238537B/en
Publication of CN114238537A publication Critical patent/CN114238537A/en
Application granted granted Critical
Publication of CN114238537B publication Critical patent/CN114238537B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/16Real estate
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Tourism & Hospitality (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Remote Sensing (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Primary Health Care (AREA)
  • Strategic Management (AREA)
  • General Business, Economics & Management (AREA)
  • Processing Or Creating Images (AREA)
  • Instructional Devices (AREA)

Abstract

The invention relates to the technical field of image data processing, and discloses a house census data grouping processing method and a house census data grouping processing system, which are used for conveniently and efficiently realizing reliable data acquisition. The method comprises the following steps: the method comprises the steps that an APP client for house surveying and mapping is loaded in a mobile communication terminal with the GPS position information capable of being obtained and tracked in real time; in the data acquisition process, the client is loaded with at least two superposed layers, wherein at least one layer is a map image base map; at least one layer is an editing layer for recording live acquisition data; the APP client acquires GPS position information from the mobile communication terminal to position the current position of a user, and displays information of each layer in a radiation area of the current position according to a set map scale; and the user realizes the grouping drawing and attribute assignment of the external contour lines corresponding to the house in the editing layer by a mode of model copying-zooming correction on the target cell.

Description

House general survey data grouping processing method and system
Technical Field
The invention relates to the technical field of image data processing, in particular to a house census data grouping processing method and system.
Background
Surveying and mapping refers to measuring, collecting and drawing the shape, size, spatial position and attributes of natural geographic elements or surface artificial facilities.
The general survey of the house based on mapping is beneficial to the management of related national departments and can promote the protection and the full utilization of land resources. In the house general investigation process, how to conveniently and efficiently realize reliable data acquisition becomes a technical problem which needs to be solved urgently.
Disclosure of Invention
The invention aims to disclose a house census data grouping processing method and a house census data grouping processing system so as to conveniently and efficiently realize reliable data acquisition.
In order to achieve the purpose, the invention discloses a house census data grouping processing method, which comprises the following steps:
an APP (Application) client for house surveying and mapping is loaded in a mobile communication terminal with a GPS (Global Positioning System) capable of acquiring and tracking position information in real time;
establishing a data channel between the APP client and a remote server;
after the user logs in, the APP client side and the remote server perform data synchronization;
after the user selects a corresponding displayed and hidden layer in the menu of the APP client, starting data acquisition processing; in the data acquisition process, the client is loaded with at least two superposed layers, wherein at least one layer is a map image base map; at least one layer is an editing layer for recording live acquisition data;
the APP client acquires GPS position information from the mobile communication terminal to position the current position of a user, and displays information of each layer in a radiation area of the current position according to a set map scale;
acquiring a target cell currently delineated and surveyed by the user in the editing layer;
after the user divides the target cell into at least two sub-regions with the number consistent with the actual house number through a dividing line, acquiring grouping information of the user for numbering the sub-regions and dividing at least two houses with approximate visual house contour lines into the same group according to the numbers;
after the user finishes editing the external contour line corresponding to any house in the same group according to the measured data, packaging the edited house contour line into a reproducible model;
acquiring information of each house attribute in the user group, wherein the house attribute comprises an actual building area and a house type; then extracting corresponding models according to the actual building area and the map scale, displaying the models in the corresponding sub-regions after correction processing, and filling corresponding different colors in the models according to different house types to finish data acquisition;
the method for extracting the corresponding model according to the actual building area and the map scale to perform the correction processing specifically comprises the following steps:
and acquiring the stored actual building area, calculating and judging whether the filling area of the current model is in an allowable error range compared with the actual building area, segmenting the external contour line according to the identified inflection point if the filling area of the current model is out of the error range, and then uniformly translating all segments of the external contour line outwards or inwards according to the calculated equal interval to obtain the zoomed contour lines which are connected end to end.
To achieve the above object, the present invention also discloses a house census data packet processing system, which includes a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the above method when executing the computer program.
The invention has the following beneficial effects:
data acquisition is carried out based on a mobile communication network and a GPS position, so that the authenticity of data acquisition is ensured; and the parallel data acquisition of multiple users in different regions is facilitated. In the process of executing data acquisition by any user, the user realizes the grouping drawing and attribute assignment of the external contour line corresponding to the house in an editing layer by a mode of model copying-zooming correction on a target cell; the excellent effect of accelerating the data acquisition efficiency of the target cell by grouping is achieved. Especially for the residential community with aggregation, the outline line type of each building in the community is only two to three, and the data acquisition efficiency can be greatly improved through grouping.
Moreover, most house main parts and external connecting roads have guardrails and green belts, so that a user is not convenient to directly occupy the wall feet for surveying and mapping, and the user is forced to perform GPS dotting and connect into a contour map model only at points which are equidistant from the wall edges (can be assisted by equipment such as laser ranging) on the external connecting roads. Therefore, the scaling processing can realize that each acquisition point is equidistant to the house in the process of actually drawing the house outline drawing by the user, and the acquisition points can be automatically mapped into the external outline consistent with the actual building area in the editing layer. Consistency between the collected data is ensured.
Meanwhile, corresponding different colors are filled according to different house types, so that the user experience is improved, the visual presentation effect is clear at a glance, and the decision of a related management layer is facilitated.
The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a schematic flow chart of a house census data grouping processing method disclosed by the embodiment of the invention.
FIG. 2 is a schematic diagram of an exemplary trimming process according to an embodiment of the present invention.
Detailed Description
The embodiments of the invention will be described in detail below with reference to the drawings, but the invention can be implemented in many different ways as defined and covered by the claims.
Example 1
The embodiment discloses a house surveying and mapping data processing method, as shown in fig. 1, including the following steps:
s1, loading an APP client for house surveying and mapping in a mobile communication terminal with the GPS position information capable of being obtained and tracked in real time.
In this step, the specific type of the mobile communication terminal includes, but is not limited to, 4G/5G mobile phone, PAD, robot, or even drone. Preferably, in the navigation and positioning using the GPS, the mobile communication terminal may assist based on base station positioning, wifi positioning, or the like to improve the accuracy of positioning.
And S2, establishing a data channel between the APP client and the remote server, and after the user logs in, performing data synchronization on the APP client and the remote server.
In this step, the validity of the user operation can be ensured by data synchronization. Preferably, when the mobile communication network signal is not good in the process of subsequently executing data editing by the user, the current operation data is preferentially stored in the offline APP client, and once the environment that the mobile communication network is available is detected, the acquisition data acquired by the APP client can be continuously uploaded to the remote server at periodic intervals.
S3, after the user selects a corresponding displayed and hidden layer in the menu of the APP client, starting data acquisition processing; in the data acquisition process, the client is loaded with at least two superposed layers, wherein at least one layer is a map image base map; at least one layer is an editing layer for recording live acquisition data.
In this step, the map image map may adopt map data of a third party, including but not limited to a map image such as a sky map or google. Then, a new acquisition layer is superposed on the base map to present the position, the area and the attribute information related to the mapping of the detected house; the attribute information includes, but is not limited to, owner information, house type, building area, and the like.
It should be noted that the map image of the base map (which may present information of buildings, greenery, roads, terrain, preparation, and the like) is usually non-real-time historical data, and there are some data that do not match the current actual situation, and some image data also have the problems of shadows caused by oblique sun rays, low definition, and the like, so that inconvenience is brought to accurately drawing the actual contour of a building, and therefore, in this embodiment, only the map image of a third party is used as a reference in the data acquisition process, and meanwhile, because the position relationship between the upper and lower layers is synchronously zoomed based on the same scale, the position of the layer of the editing layer determined by a mouse corresponds to the position information of the same point of the base map one to one, so that convenience is provided for realizing functions of line segment distance measurement, area measurement, and the like by subsequently using the API interface of the third party of the base map; thereby contributing to saving development time and cost.
And S4, the APP client acquires GPS position information from the mobile communication terminal to position the current position of the user, and displays information of each layer in a radiation area of the current position according to the set map scale. Wherein the range of the irradiated area is related to the screen resolution of the mobile communication terminal.
In the step, the essence is that the region range which can be operated by the user is determined according to the GPS position, so that the phenomenon that the multiple users generate serial lines in the parallel data acquisition process can be effectively avoided, and the system problems that some more serious data distortion and even loss are caused by related misoperation caused by the serial lines and the like are further avoided. Meanwhile, the bad behavior that the user forges the related collected data without actually reaching the corresponding operation area is avoided, and the reliability of the collected data is ensured.
And S5, acquiring a target cell currently defined and generally checked by the user in the editing layer, dividing the target cell into at least two sub-regions with the number consistent with the actual house number through a dividing line, and acquiring grouping information of numbering the sub-regions by the user and dividing at least two houses with visual house outline approximate to the house outline into the same group according to the numbers.
In this step, on the basis of common knowledge, at least two buildings with identical house outlines are usually arranged in a matrix in the same target cell (especially in the residential category); in the attribute information recorded subsequently based on the editing layer, the closed model contour line is automatically corrected according to the actual house area, or a single object in the group is manually corrected in a subsequent trimming mode and the like, so that the influence of the houses with approximate house contour lines visually observed in the step is reduced to a group, and the final acquisition result is almost ignored relative to the accuracy of the user sense. Thus, the so-called "approximate" criterion can be set as: the length and the trend of more than 80% of the segments in the contour line are the same as the reference house contour. And those skilled in the art can understand that the standard can be flexibly adjusted according to different user requirements.
And S6, after the user finishes editing the corresponding external contour line of any house in the same group according to the measured data, packaging the edited house contour line into a reproducible model.
When the user finishes editing the corresponding contour line of any house in the same group according to the measured data, the contour lines of the houses connected end to end can be drawn firstly in the following way:
1. and in the hand drawing mode, the user performs dotting and edge drawing by referring to the map image of the base map.
2. And in the GPS mode, the GPS position information of the user at least four different positions is acquired at intervals according to the corresponding operation of the user, and the dotting is performed in the editing layer according to the GPS position information of each fixed point position and then the dotting is connected into end-to-end contour lines.
3. And in the mode of combining the hand drawing and the GPS, at least one dotting point recorded according to the GPS position information of the live position of the user is connected in the formed contour lines which are connected end to end, so that the benign compatibility between the acquisition efficiency and the acquisition data precision is realized. For example: the hand-drawing and GPS combined mode comprises the following steps: acquiring GPS position information of a user at least four different positions at intervals in a GPS mode according to corresponding operation of the user, and connecting the GPS position information into a quadrilateral initial contour line; and then splicing the initial contour line with at least three trimming line segments connected with the opening, filling a blank area adjacent to the initial contour line into a newly added convex area of the initial contour line, and removing an intersection area enclosed by the trimming line segments in the initial contour line into a concave area from the model.
In general, the positions of the points located by each GPS point and the hand drawing are preferably the positions of inflection points in the contour line (i.e. the points at which the contour line trend changes suddenly), and adjacent points may be connected by a straight line or an arc line.
Then filling the drawn outline lines connected end to end of the house with default colors and packaging the outline lines into an initial model capable of being copied; and according to the corresponding instruction of the user, carrying out corresponding hole digging and/or trimming treatment on the initial model to obtain a final model similar to the trend of the substantial outline of the house.
Further, the deburring process specifically includes:
splicing at least three trimming line segments connected with each other with an opening with the initial model, filling a blank area adjacent to the initial model into a newly added convex area of the model, and removing an intersection area surrounded by the trimming line segments in the initial model into a concave area from the model. The trimming specifically includes the steps shown in fig. 2, wherein five trimming line segments shown by dotted lines and the original rectangular initial model form an adjacent blank area B and an intersection area a, in the trimmed model, the area B is fused with the outline area of the initial model, and the area a is removed from the outline area of the initial model. By trimming, the dependence on dotting on each inflection point is avoided, and the efficiency of data acquisition is improved while the precision of the house outline is effectively reflected.
Further, the hole digging treatment specifically comprises:
intersecting a closed graph (such as a circle or a rectangle) with the initial model, removing an intersection region which is in the closed graph and is common with the initial model into a hole region of the model, and filling a blank region which is in the closed graph and is adjacent to the initial model into a newly added protruding region of the model.
In this embodiment, the APP client identifies whether the user operation is trimming or holing according to whether the trimming line segment is closed. Further, the APP client in the embodiment of the present invention further provides a function that a user performs operations such as moving and rotating to align the image data of the editing layer with the map image in the base map.
S7, acquiring information of each house attribute in the user group, wherein the house attribute comprises an actual building area and a house type; and then extracting corresponding models according to the actual building area and map scale, carrying out correction processing on the models, displaying the models in the corresponding sub-regions, and filling corresponding different colors in the models according to different house types to finish data acquisition.
In this step, the relevant house types include, but are not limited to: independent houses, collective houses, auxiliary houses, rural non-houses and the like. Wherein, when the hole digging is carried out, the filling color in the hole is removed, and the area of the hole is brought into the actual building area; therefore, in the zooming process, the size parameters of the hollow hole in the inner part do not need to be zoomed synchronously, the system design is simplified while the management specification of the land is met, and the visual effect of a user is met with the objective condition. Further, the concrete steps of extracting a corresponding model according to the actual building area and the map scale for correction processing include:
and acquiring the stored actual building area, calculating and judging whether the filling area of the current model is within an allowable error range (for example, 10%) compared with the actual building area, segmenting the external contour line according to the identified inflection point if the filling area of the current model is beyond the error range, and then uniformly translating all segments of the external contour line outwards or inwards according to the calculated equal intervals to obtain the zoomed contour line which is connected end to end.
For example, in this step, it is assumed that the external contour line drawn in advance is a rectangle with 4 × 5cm, and when the user is 5 meters equidistant from the corresponding wall edge at the position where the external contour line is substantially occupied by drawing, and the substantial distance mapped by 1cm is 10 meters, the error with the actual building area exceeds 10%, the size of the modified rectangle displayed corresponding to the scaled actual building area should be 3 × 5cm, the diagonal center of the rectangle before and after adjustment is unchanged, and the equidistant distance of the actual inward movement of each rectangle edge is 0.5cm.
Based on the above example, unexpected technical effects can be obtained by: guard rails and green belts are arranged between most buildings and external connection roads, so that a user is inconvenient to directly occupy the positions of wall feet to carry out surveying and mapping, and the user is forced to carry out GPS dotting and connect the points to form a contour map only at the positions, which are equidistant to the wall edges (can be assisted by equipment such as laser ranging) on the external roads. Therefore, the scaling processing can realize that each acquisition point is equidistant to the house in the process of actually drawing the house outline drawing by the user, and the acquisition points can be automatically mapped into the external outline consistent with the actual building area in the editing layer. Consistency between the collected data, especially consistency between the visual effect and the actual building area, is ensured. Meanwhile, the situation that the top of part of the building main body extends to the ground to actually draw the outline of the house exists, and therefore the same technical effect can be achieved through outward translation.
Further, considering most cells, the whole structure of some buildings is a multiple extension of another part of buildings based on symmetry, the APP client of this embodiment further generates a corresponding mirror model from any selected model according to a corresponding instruction of the user, and then combines the model and the corresponding mirror model into a new model for copying the remaining group; therefore, the model base is expanded, and the output efficiency of the model is improved.
In summary, in the embodiment, by comparing the map image of the editing layer view with the map image of the base map, the acquired region and the region to be acquired can be observed clearly. Moreover, based on the common knowledge of the skilled person, the method of the embodiment further comprises: after the APP client data acquisition is completed, hiding or deleting each partition line of the partition subarea of the target cell; and uploading corresponding acquisition information to the remote server according to a user instruction, or at a fixed time interval, or triggered by a corresponding event.
Example 2
The embodiment discloses a house census data packet processing system, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps corresponding to the method embodiments.
To sum up, the house census data grouping processing method and system disclosed by the embodiment of the invention at least have the following beneficial effects: data acquisition is carried out based on a mobile communication network and a GPS position, so that the authenticity of data acquisition is ensured; and the parallel data acquisition of multiple users in different regions is facilitated. In the process of executing data acquisition by any user, the user realizes the grouping drawing and attribute assignment of the external contour line corresponding to the house in an editing layer by a mode of model copying-zooming correction on a target cell; the excellent effect of accelerating the data acquisition efficiency of the target cell by grouping is achieved. Especially for the residential community with gathering property, the outline line type of each building in the community is generally only two to three, and the data acquisition efficiency can be greatly improved through grouping.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (9)

1. A house census data packet processing method is characterized by comprising the following steps:
the method comprises the steps that an APP client for house surveying and mapping is loaded in a mobile communication terminal with the GPS position information capable of being obtained and tracked in real time;
establishing a data channel between the APP client and a remote server;
after the user logs in, the APP client side and the remote server perform data synchronization;
the user starts data acquisition processing after selecting a corresponding displayed and hidden layer in a menu of the APP client; in the data acquisition process, the client is loaded with at least two superposed layers, and at least one layer is a map image base map; at least one layer is an editing layer for recording live acquisition data;
the APP client acquires GPS position information from the mobile communication terminal to position the current position of a user, and displays information of each layer in a radiation area of the current position according to the set map scale;
acquiring a target cell currently delineated and surveyed by the user in the editing layer;
after the user divides the target cell into at least two sub-regions with the number consistent with the actual house number through a dividing line, acquiring grouping information of the user for numbering the sub-regions and dividing at least two houses with approximate visual house contour lines into the same group according to the numbers;
after the user finishes editing the external contour line corresponding to any house in the same group according to the measured data, packaging the edited house contour line into a reproducible model;
acquiring information of each house attribute in the user group, wherein the house attribute comprises an actual building area and a house type; then extracting corresponding models according to actual building areas and map scales, displaying the models in the corresponding sub-regions after correction processing, and filling corresponding different colors in the models according to different house types to finish data acquisition;
the method for extracting the corresponding model according to the actual building area and the map scale to perform the correction processing specifically comprises the following steps:
and acquiring the stored actual building area, calculating and judging whether the filling area of the current model is in an allowable error range compared with the actual building area, segmenting the external contour line according to the identified inflection point if the filling area of the current model is out of the error range, and then uniformly translating all segments of the external contour line outwards or inwards according to the calculated equal interval to obtain the zoomed contour lines which are connected end to end.
2. The method of claim 1, further comprising:
and the APP client generates a corresponding mirror image model from any selected model according to the corresponding instruction of the user, and then combines the model and the corresponding mirror image model into a new model for copying the rest groups.
3. The method according to claim 1 or 2, characterized in that during the editing process of the corresponding contour line of any house in the same group by the user according to the measured data, the contour lines of the houses connected end to end are drawn in the following way:
a hand drawing mode in which the user performs dotting and outlining with reference to the map image of the base map;
in the GPS mode, the GPS position information of the user at least four different positions is acquired at intervals according to the corresponding operation of the user, and the GPS position information of each fixed point position is dotted in the editing layer and then connected into end-to-end contour lines;
connecting at least one dotting point recorded according to the GPS position information of the live position of the user in the formed contour line connected end to end in a manner of combining the hand drawing and the GPS;
filling the drawn outline lines of the house in the end-to-end connection mode by default colors, and packaging the outline lines into an initial model capable of being copied; and according to the corresponding instruction of the user, performing corresponding hole digging and/or trimming processing on the initial model to obtain a final model similar to the trend of the substantial outline of the house.
4. The method according to claim 3, characterized in that said edging process comprises in particular:
splicing at least three trimming line segments connected with an opening with the initial model, filling a blank area adjacent to the initial model into a newly added convex area of the model, and removing an intersection area surrounded by the trimming line segments in the initial model into a concave area from the model;
the hole digging treatment specifically comprises the following steps:
performing intersection processing on a closed graph and the initial model, removing an intersection region which is in the closed graph and is common with the initial model into a hole region of the model, and filling a blank region which is in the closed graph and is adjacent to the initial model into a newly added protruding region of the model;
and the APP client side identifies whether the user operation is trimming or holing according to whether the trimming line segment is closed.
5. The method of claim 3, further comprising, during the boring process: the filling color in the hole is removed, and the area of the hole is taken into the actual building area.
6. The method of claim 3, further comprising: and after the data acquisition is finished, hiding or deleting each partition line of the partition subarea of the target cell.
7. The method of claim 3, wherein the hand-drawing and GPS combined manner comprises:
acquiring GPS position information of a user at least four different positions at intervals in a GPS mode according to corresponding operation of the user, and connecting the GPS position information into a quadrilateral initial contour line;
and then splicing the initial contour line with at least three trimming line segments connected with the opening, filling a blank area adjacent to the initial contour line into a newly added convex area of the initial contour line, and removing an intersection area enclosed by the trimming line segments in the initial contour line into a concave area from the model.
8. The method of claim 3, further comprising:
and the APP client uploads corresponding acquisition information to the remote server according to a user instruction, or according to a fixed time interval, or by corresponding time trigger.
9. A census data packet processing system comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the steps of the method of any one of claims 1 to 8.
CN202111577038.1A 2021-12-22 2021-12-22 House general survey data grouping processing method and system Active CN114238537B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111577038.1A CN114238537B (en) 2021-12-22 2021-12-22 House general survey data grouping processing method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111577038.1A CN114238537B (en) 2021-12-22 2021-12-22 House general survey data grouping processing method and system

Publications (2)

Publication Number Publication Date
CN114238537A CN114238537A (en) 2022-03-25
CN114238537B true CN114238537B (en) 2022-11-22

Family

ID=80760914

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111577038.1A Active CN114238537B (en) 2021-12-22 2021-12-22 House general survey data grouping processing method and system

Country Status (1)

Country Link
CN (1) CN114238537B (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1838164A (en) * 2006-04-26 2006-09-27 东南大学 Full digital field information collection, recording and processing method for land survey
CN105913347A (en) * 2016-04-25 2016-08-31 中国测绘科学研究院 House coding method orienting house information acquisition
CN108491545A (en) * 2018-04-04 2018-09-04 重庆高南房地产信息服务有限责任公司 A kind of Land and resources datas movement supervisory systems
CN110570428A (en) * 2019-08-09 2019-12-13 浙江合信地理信息技术有限公司 method and system for segmenting roof surface patch of building from large-scale image dense matching point cloud
CN113014906A (en) * 2016-04-12 2021-06-22 奎蒂安特有限公司 Daily scene reconstruction engine

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4525816B2 (en) * 2007-09-28 2010-08-18 株式会社デンソー Electronic device and program
JP5227110B2 (en) * 2008-08-07 2013-07-03 株式会社トプコン Omnidirectional camera with GPS and spatial data collection device

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1838164A (en) * 2006-04-26 2006-09-27 东南大学 Full digital field information collection, recording and processing method for land survey
CN113014906A (en) * 2016-04-12 2021-06-22 奎蒂安特有限公司 Daily scene reconstruction engine
CN105913347A (en) * 2016-04-25 2016-08-31 中国测绘科学研究院 House coding method orienting house information acquisition
CN108491545A (en) * 2018-04-04 2018-09-04 重庆高南房地产信息服务有限责任公司 A kind of Land and resources datas movement supervisory systems
CN110570428A (en) * 2019-08-09 2019-12-13 浙江合信地理信息技术有限公司 method and system for segmenting roof surface patch of building from large-scale image dense matching point cloud

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
IEEE 14th International Conference on Smart City *
IEEE 2nd International Conference on Data Science and Systems (HPCC/SmartCity/DSS)》.2017, *
Qichuan Yang 等.A Time Localization System in Smart Home Using Hierarchical Structure and Dynamic Frequency.《2016 IEEE 18th International Conference on High Performance Computing and Communications *
基于Android的城市建筑物信息外业采集系统研究;龙立 等;《震灾防御技术》;20160915;第11卷(第3期);682-691 *
基于Android的移动GIS昆明市市容环境督查考核信息系统研究;杨林;《中国优秀硕士学位论文全文数据库 工程科技Ⅰ辑》;20200315(第03期);B027-300 *

Also Published As

Publication number Publication date
CN114238537A (en) 2022-03-25

Similar Documents

Publication Publication Date Title
CN109238239B (en) Digital measurement three-dimensional modeling method based on aerial photography
JP5105643B2 (en) System for texture rising of electronic display objects
CN111724477A (en) Method for constructing multi-level three-dimensional terrain model through multi-source data fusion
WO2022227910A1 (en) Virtual scene generation method and apparatus, and computer device and storage medium
KR101305059B1 (en) A method and system for editing numerical map in real time, and a sever, and recording medium storing a program thereof
CN109883418A (en) Indoor positioning method and device
CN112800516A (en) Building design system with real-scene three-dimensional space model
CN116957887B (en) Intelligent meter reading method and meter reading system
CN114937130A (en) A method, device, equipment and storage medium for topographic map mapping
CN110516304B (en) A Modeling Method for Indoor Space
CN115408750A (en) Power transmission line measurement finished product diagram generation method, device, equipment and storage medium
CN115962755A (en) Earth and stone calculation method based on unmanned aerial vehicle oblique photography technology
CN114238537B (en) House general survey data grouping processing method and system
CN116086411A (en) Digital topography generation method, device, equipment and readable storage medium
CN107729511B (en) Customizable geographic information data rectangular framing method
CN111986320B (en) Smart city application-oriented DEM and oblique photography model space fitting optimization method
CN112884890A (en) Multi-format basic geographic information data fusion display method
CN112665562A (en) Land surveying and mapping method for homeland planning
CN113935102A (en) House surveying and mapping data processing method and system
CN113076803A (en) Building vector extraction method and system based on high-resolution remote sensing image
CN118968073B (en) Building change area identification method and system based on unmanned aerial vehicle and electronic equipment
CN118965535B (en) Three-dimensional planning and design method, device, medium and computing equipment for residential landscape
CN116912320B (en) Positioning method and device of object elevation coordinate, electronic equipment and medium
CN115937304B (en) Method and device for accurately estimating stump position and breast diameter through sparse point cloud
CN118052947B (en) Method and device for establishing three-dimensional geographic model based on big data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 410000 Bachelor's Street, Yuelu District, Changsha City, Hunan Province, 755 Bachelor's Road

Applicant after: Zhongda Intelligent Technology Co.,Ltd.

Address before: 410000 Bachelor's Street, Yuelu District, Changsha City, Hunan Province, 755 Bachelor's Road

Applicant before: CUHK testing (Hunan) Co.,Ltd.

GR01 Patent grant
GR01 Patent grant