CN111723232B - Method and device for positioning and identifying building through Internet of things - Google Patents
Method and device for positioning and identifying building through Internet of things Download PDFInfo
- Publication number
- CN111723232B CN111723232B CN202010638787.XA CN202010638787A CN111723232B CN 111723232 B CN111723232 B CN 111723232B CN 202010638787 A CN202010638787 A CN 202010638787A CN 111723232 B CN111723232 B CN 111723232B
- Authority
- CN
- China
- Prior art keywords
- building
- photo
- map
- difference
- module
- 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
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/587—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using geographical or spatial information, e.g. location
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C11/00—Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying
- G01C11/04—Interpretation of pictures
- G01C11/06—Interpretation of pictures by comparison of two or more pictures of the same area
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
- G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
- G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention belongs to the field of building identification, in particular to a method and a device for identifying a building by positioning through the Internet of things, wherein the method for identifying the building by positioning through the Internet of things comprises the following steps: s1: taking a photo: shooting a photo of a target building, and then inputting the shot photo into a computer for storage; s2: photo comparison: acquiring a map of a building site, and comparing the picture in the computer with the map of the building site; s3: comparison and confirmation: and outputting the compared result to a computer, and confirming the result output by the computer. The invention can quickly identify and position the building on the photo by taking the photo, has higher accuracy of identifying and positioning, is convenient and quick, can update the map at the building place according to the taken photo, and is convenient for identifying and positioning when other people use the building.
Description
Technical Field
The invention relates to the technical field of building identification, in particular to a method and a device for positioning and identifying a building through the Internet of things.
Background
Building is a generic term for buildings and structures. Is an artificial environment created by people to meet social life needs, by using the mastered material technical means and by using certain scientific laws, geomantic omen ideas and aesthetic laws. Some classifications are intended to distinguish buildings from non-building structures that people do not occupy for a long period of time in order to clearly express usability, and other architects are intended to avoid confusion by deliberately subdividing buildings whose shapes have been created consciously by people into "buildings". It is noted that sometimes buildings may also be extended to include "non-building structures," such as bridges, towers, tunnels, and the like.
The method and the device for identifying the building based on the intelligent terminal positioning are disclosed by the application number 201410511008.4 after searching. The method comprises the following steps: the intelligent terminal shoots a picture of the target building and extracts the top outline of the target building in the picture; acquiring a map corresponding to the position of the shooting point of the photo, and taking a building in the map as a candidate building; and determining a building which is best matched with the top outline of the target building from the candidate buildings, and positioning and identifying the target building according to the position information of the building. According to the technical scheme, the positioning and identification of the target building can be realized rapidly based on the single photo of the target building, the time delay is low, the database deployed in advance is not needed to be relied on, but the building cannot be identified and positioned rapidly, the accuracy of identifying and positioning is low, the data of the building cannot be updated, and the use of subsequent others is inconvenient.
Disclosure of Invention
The invention aims to solve the defects that in the prior art, a building cannot be quickly identified and positioned, the accuracy of identification and positioning is low, the data of the building cannot be updated, and the use of subsequent others is inconvenient.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
a method for positioning and identifying a building by using the Internet of things comprises the following steps:
s1: taking a photo: shooting a photo of a target building, and then inputting the shot photo into a computer for storage;
s2: photo comparison: acquiring a map of a building site, and comparing the picture in the computer with the map of the building site;
s3: comparison and confirmation: outputting the compared result to a computer, and confirming the result output by the computer;
s4: and (3) difference identification: comparing the difference between the shot picture and the map picture of the building site, and marking the difference point;
s5: and (3) difference uploading: uploading the marked difference points so that the original map at the building site on the computer can be automatically identified with the original map;
s6: map updating: the computer automatically re-identifies the identified difference points, and then updates the map at the building site according to the identification result.
Preferably, in the step S1, 3-5 pictures are taken, and the horizontal distance between each picture and the building to be taken is 3-5 meters after each picture is taken.
Preferably, in the step S2, when comparing with the photographed picture, the overall contour of the building is first selected, and the detail points are compared after the comparison according to the overall contour.
Preferably, in the step S3, when the non-comparison result is displayed, the building needs to be further photographed, and the surrounding buildings need to be simply photographed.
Preferably, in S4, the photographed photo is compared with the original photo on the map in detail difference, and the difference point is marked by different colors.
Preferably, in the step S5, the marked difference points are uploaded manually, the number of times of automatic identification is 3-5, and the total difference points after automatic identification are taken.
Preferably, in the step S6, when the map is updated, different difference points are replaced, and the original map is replaced according to the local definition.
An apparatus for positioning and identifying a building by using the Internet of things comprises
The photo shooting module is used for shooting the target building;
the photo comparison module is used for comparing with the map of the building place;
the comparison and confirmation module is used for confirming the comparison result;
the difference identification module is used for carefully identifying differences of map photos acquired at the building site;
the difference uploading module is used for uploading the marked difference points;
the map updating module is used for updating the map of the building place;
the photo shooting module is connected with the photo comparison module, the photo comparison module is connected with the comparison confirmation module, the photo comparison module is connected with the difference identification module, the difference identification module is connected with the difference uploading module, and the difference uploading module is connected with the map updating module.
According to the method and the device for positioning and identifying the building through the Internet of things, a photo is shot on a target building, the shot photo is compared with a map of a place where the building is obtained, then a computer confirms an output comparison result, the shot photo is compared with the map of the place where the building is obtained after confirmation, the difference point is marked, the marked difference point is uploaded after marking is completed, finally the computer automatically identifies the difference point again, and the map of the place where the building is replaced according to an identification result.
The invention can quickly identify and position the building on the photo by taking the photo, has higher accuracy of identifying and positioning, is convenient and quick, can update the map at the building place according to the taken photo, and is convenient for identifying and positioning when other people use the building.
Drawings
Fig. 1 is a schematic block diagram of a device for positioning and identifying a building through internet of things according to 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.
A method for positioning and identifying a building by using the Internet of things comprises the following steps:
s1: taking a photo: shooting a photo of a target building, and then inputting the shot photo into a computer for storage;
s2: photo comparison: acquiring a map of a building site, and comparing the picture in the computer with the map of the building site;
s3: comparison and confirmation: outputting the compared result to a computer, and confirming the result output by the computer;
s4: and (3) difference identification: comparing the difference between the shot picture and the map picture of the building site, and marking the difference point;
s5: and (3) difference uploading: uploading the marked difference points so that the original map at the building site on the computer can be automatically identified with the original map;
s6: map updating: the computer automatically re-identifies the identified difference points, and then updates the map at the building site according to the identification result.
In the invention, in S1, 3-5 pictures are taken, and the horizontal distance between each picture taken and a building to be taken is 3-5 meters.
In the invention, in S2, when comparing with the shot photo, firstly, the whole outline of the building is selected, and then the detail points are compared after the comparison according to the whole outline.
In the present invention, when the comparison-free result is displayed in S3, it is necessary to take a still further photograph of the building and to take a simple photograph of the surrounding building.
In the invention, in S4, the detail difference comparison is carried out on the shot photo and the original photo on the map, and the difference points are marked by different colors.
In the invention, in S5, the marked difference points are uploaded manually, the number of times of automatic identification is 3-5, and the total difference points after automatic identification are taken.
In the invention, in S6, when the map is updated, different difference points are replaced, and meanwhile, the original map is replaced according to the local definition.
Referring to fig. 1, an apparatus for positioning and identifying a building by using internet of things includes
The photo shooting module is used for shooting the target building;
the photo comparison module is used for comparing with the map of the building place;
the comparison and confirmation module is used for confirming the comparison result;
the difference identification module is used for carefully identifying differences of map photos acquired at the building site;
the difference uploading module is used for uploading the marked difference points;
the map updating module is used for updating the map of the building place;
the photo shooting module is connected with the photo comparison module, the photo comparison module is connected with the comparison confirmation module, the photo comparison module is connected with the difference identification module, the difference identification module is connected with the difference uploading module, and the difference uploading module is connected with the map updating module.
While the fundamental and principal features of the invention and advantages of the invention have been shown and described, it will be apparent to those skilled in the art that the invention is not limited to the details of the foregoing exemplary embodiments, but may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Furthermore, it should be understood that although the present disclosure describes embodiments, not every embodiment is provided with a separate embodiment, and that this description is provided for clarity only, and that the disclosure is not limited to the embodiments described in detail below, and that the embodiments described in the examples may be combined as appropriate to form other embodiments that will be apparent to those skilled in the art.
Claims (8)
1. The method for positioning and identifying the building by using the Internet of things is characterized by comprising the following steps of:
s1: taking a photo: shooting a photo of a target building, and then inputting the shot photo into a computer for storage;
s2: photo comparison: acquiring a map of a building site, and comparing the picture in the computer with the map of the building site;
s3: comparison and confirmation: outputting the compared result to a computer, and confirming the result output by the computer;
s4: and (3) difference identification: comparing the difference between the shot picture and the map picture of the building site, and marking the difference point;
s5: and (3) difference uploading: uploading the marked difference points so that the original map at the building site on the computer can be automatically identified with the original map;
s6: map updating: the computer automatically re-identifies the identified difference points, and then updates the map at the building site according to the identification result.
2. The method for positioning and identifying a building through internet of things according to claim 1, wherein in the step S1, 3-5 pictures are taken, and the horizontal distance between each picture taken and the building to be taken is 3-5 meters.
3. The method for positioning and identifying a building by using the internet of things according to claim 1, wherein in the step S2, when comparing with the shot photo, the overall outline of the building is selected first, and the minutiae points are compared after the comparison according to the overall outline.
4. The method for positioning and identifying a building by using the internet of things according to claim 1, wherein in S3, when the comparison-free result is displayed, the building needs to be shot again, and meanwhile, surrounding buildings need to be shot simply.
5. The method for positioning and identifying a building by using the internet of things according to claim 1, wherein in S4, the photographed photo is compared with the original photo on the map in detail difference, and the difference point is marked by different colors.
6. The method for positioning and identifying a building by using the internet of things according to claim 1, wherein in the step S5, the marked difference points are uploaded manually, the number of times of automatic identification is 3-5, and the total difference points after automatic identification are taken.
7. The method for positioning and identifying a building by using the internet of things according to claim 1, wherein in S6, when the map is updated, different difference points are replaced, and the original map is replaced according to the local definition.
8. The device for positioning and identifying the building by using the Internet of things is characterized by comprising
The photo shooting module is used for shooting the target building;
the photo comparison module is used for comparing with the map of the building place;
the comparison and confirmation module is used for confirming the comparison result;
the difference identification module is used for carefully identifying differences of map photos acquired at the building site;
the difference uploading module is used for uploading the marked difference points;
the map updating module is used for updating the map of the building place;
the photo shooting module is connected with the photo comparison module, the photo comparison module is connected with the comparison confirmation module, the photo comparison module is connected with the difference identification module, the difference identification module is connected with the difference uploading module, and the difference uploading module is connected with the map updating module.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010638787.XA CN111723232B (en) | 2020-07-06 | 2020-07-06 | Method and device for positioning and identifying building through Internet of things |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010638787.XA CN111723232B (en) | 2020-07-06 | 2020-07-06 | Method and device for positioning and identifying building through Internet of things |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN111723232A CN111723232A (en) | 2020-09-29 |
| CN111723232B true CN111723232B (en) | 2023-09-08 |
Family
ID=72571684
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010638787.XA Active CN111723232B (en) | 2020-07-06 | 2020-07-06 | Method and device for positioning and identifying building through Internet of things |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111723232B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112124A (en) * | 2014-07-15 | 2014-10-22 | 北京邮电大学 | Image identification based indoor positioning method and device |
| CN104281840A (en) * | 2014-09-28 | 2015-01-14 | 无锡清华信息科学与技术国家实验室物联网技术中心 | Method and device for positioning and identifying building based on intelligent terminal |
| CN105956081A (en) * | 2016-04-29 | 2016-09-21 | 深圳电航空技术有限公司 | Ground station map updating method and apparatus |
| CN109509255A (en) * | 2018-07-26 | 2019-03-22 | 京东方科技集团股份有限公司 | A kind of labeling map structuring and space map updating method and device |
| CN110390721A (en) * | 2018-04-20 | 2019-10-29 | 曜宇航空科技（上海）有限公司 | It is a kind of to be uniformly distributed the method and system for drawing real-time live-action map |
| CN111368112A (en) * | 2020-03-30 | 2020-07-03 | 许广明 | Method and device for positioning and identifying building based on intelligent terminal |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8483715B2 (en) * | 2009-03-26 | 2013-07-09 | Yahoo! Inc. | Computer based location identification using images |
-
2020
- 2020-07-06 CN CN202010638787.XA patent/CN111723232B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104112124A (en) * | 2014-07-15 | 2014-10-22 | 北京邮电大学 | Image identification based indoor positioning method and device |
| CN104281840A (en) * | 2014-09-28 | 2015-01-14 | 无锡清华信息科学与技术国家实验室物联网技术中心 | Method and device for positioning and identifying building based on intelligent terminal |
| CN105956081A (en) * | 2016-04-29 | 2016-09-21 | 深圳电航空技术有限公司 | Ground station map updating method and apparatus |
| CN110390721A (en) * | 2018-04-20 | 2019-10-29 | 曜宇航空科技（上海）有限公司 | It is a kind of to be uniformly distributed the method and system for drawing real-time live-action map |
| CN109509255A (en) * | 2018-07-26 | 2019-03-22 | 京东方科技集团股份有限公司 | A kind of labeling map structuring and space map updating method and device |
| CN111368112A (en) * | 2020-03-30 | 2020-07-03 | 许广明 | Method and device for positioning and identifying building based on intelligent terminal |
Also Published As
| Publication number | Publication date |
|---|---|
| CN111723232A (en) | 2020-09-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102647449B (en) | Based on the intelligent photographic method of cloud service, device and mobile terminal | |
| CN110826549A (en) | Inspection robot instrument image identification method and system based on computer vision | |
| CN103106272B (en) | Interest point information acquisition methods and device | |
| CN110674805A (en) | Insect identification method and system | |
| KR20190080009A (en) | Automatic drawing method using lane information | |
| US10726262B2 (en) | Imaging support system, device and method, and imaging terminal | |
| WO2020211427A1 (en) | Segmentation and recognition method, system, and storage medium based on scanning point cloud data | |
| CN110956196B (en) | Automatic recognition method for window wall ratio of urban building | |
| CN104778190B (en) | Method for obtaining map and electronic device | |
| US20180204153A1 (en) | Architectural Planning Method | |
| WO2018129910A1 (en) | Management system for collection, editing and application of building information | |
| CN114862946B (en) | Location prediction method, system, device, and medium | |
| JP7092615B2 (en) | Shadow detector, shadow detection method, shadow detection program, learning device, learning method, and learning program | |
| CN111221997A (en) | Scenic spot person searching method based on portrait recognition and positioning | |
| CN111723232B (en) | Method and device for positioning and identifying building through Internet of things | |
| Einaudi et al. | From archive documentation to online 3d model visualization of no longer existing structures: The turin 1911 project | |
| CN111199539A (en) | Crack detection method based on integrated neural network | |
| CN110688500B (en) | Database construction method, positioning method and related equipment thereof | |
| JP2019066920A (en) | Construction information acquirement apparatus, construction information management system, and information terminal | |
| KR100924008B1 (en) | Digital drawing based Aerial Photograph Enhancement Method | |
| CN115620264B (en) | Vehicle positioning method and device, electronic equipment and computer readable medium | |
| JP2000047579A (en) | Map data base updating device | |
| CN112906507B (en) | Method for measuring and calculating pedestrian track of commercial street based on digital photo | |
| CN114119973A (en) | Spatial distance prediction method and system based on image semantic segmentation network | |
| CN113971813A (en) | Accurate identification method for parking spaces in construction professional general plane construction drawing and underground garage construction drawing |
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 | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20230815 Address after: 518000 Hanjing Financial Center 3604, No. 9968 Shennan Avenue, Maling Community, Yuehai Street, Nanshan District, Shenzhen, Guangdong Province Applicant after: Shenzhen Expressway Group Digital Technology Co.,Ltd. Address before: Changshu planning and Architectural Design Institute, 127 Nansha Road, Changshu City, Suzhou City, Jiangsu Province 215000 Applicant before: Xu Guangming |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |