Nothing Special   »   [go: up one dir, main page]

CN108133116A - CAD floor plan wall thickness automatic identifying methods and system - Google Patents

CAD floor plan wall thickness automatic identifying methods and system Download PDF

Info

Publication number
CN108133116A
CN108133116A CN201810037523.1A CN201810037523A CN108133116A CN 108133116 A CN108133116 A CN 108133116A CN 201810037523 A CN201810037523 A CN 201810037523A CN 108133116 A CN108133116 A CN 108133116A
Authority
CN
China
Prior art keywords
wall thickness
wall
line segment
cad
endpoint
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.)
Granted
Application number
CN201810037523.1A
Other languages
Chinese (zh)
Other versions
CN108133116B (en
Inventor
黄河
陈江伟
陆志国
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.)
Every Flat Every House Designer Beijing Technology Co ltd
Original Assignee
Beijing Incredibly Design Home Chain Group 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 Beijing Incredibly Design Home Chain Group Co Ltd filed Critical Beijing Incredibly Design Home Chain Group Co Ltd
Priority to CN201810037523.1A priority Critical patent/CN108133116B/en
Publication of CN108133116A publication Critical patent/CN108133116A/en
Application granted granted Critical
Publication of CN108133116B publication Critical patent/CN108133116B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • Theoretical Computer Science (AREA)
  • Civil Engineering (AREA)
  • Structural Engineering (AREA)
  • Computational Mathematics (AREA)
  • Architecture (AREA)
  • Mathematical Analysis (AREA)
  • Mathematical Optimization (AREA)
  • Pure & Applied Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The invention discloses a kind of CAD floor plans wall thickness automatic identifying methods.This method includes:Upload CAD house type formatted files;Backstage Service is called to parse cad file, returns to the parallel segment group classified;The endpoint of loaded and displayed base map and all line segments;Line drawing wall tool in startup captures first endpoint;It attempts to capture second endpoint, starts automatic wall thickness algorithm;According to the direction of current line segment and wall thickness generation wall.The method of the present invention is capable of the thickness of automatic identification house type wall when drawing wall, so as to accelerate to copy the speed of house type, and ensure that the accuracy of thickness of wall body.The present invention also proposes a kind of corresponding CAD floor plans wall thickness automatic recognition system with the above method.

Description

CAD floor plan wall thickness automatic identifying methods and system
Technical field
The present invention relates to engineering drawing management technical field, more particularly to a kind of CAD floor plans wall thickness automatic identifying method And system.
Background technology
CAD (Computer-aided design, CAD) is as outstanding engineering achievement, extensively It is applied to architectural design field generally, designer is in dress design software to accelerate the speed of establishment house type, can pass through CAD Figure creates house type as figure is copied.During establishment, since wall thickness differs, more change the wall thickness be easy to cause mistake manually, and It is inefficient.The method for copying house type generation wall can not facilitated according to CAD diagram currently on the market.
Have in patent application, CN201410211041.5 proposes the recognition methods of wall and floor plan in a kind of floor plan Length ratio auto-correction method, however the wall recognition methods based on image identify, take image denoising, image enhancement and Gradation conversion identifies to carry out the appearance profile of floor plan, and hough is carried out to edge image and converts to obtain the identification wall straight line that arrives. This method identification wall depends on the gray scale of file, thus discrimination is low, and the thickness low LCL of wall is accurate.But when very much It waits, indoor design is very sensitive to thickness of wall body error, therefore how to accurately identify the thickness of the wall in engineering drawing Degree is a problem to be solved.In addition, wall identification needs to carry out a large amount of image procossing to drawing in this method, to user's Computer performance is more demanding, when drawing is larger, it may appear that the problem of processing time is long, inefficiency.
Invention content
In order to overcome deficiency of the prior art, efficiency is low when solving imitation house type and the inaccurate of thickness of wall body is asked Topic, the present invention provide a kind of CAD floor plans wall thickness automatic identifying method and system.It, can be automatic when drawing wall using the present invention The thickness of house type wall is identified, so as to accelerate to copy the speed of house type, and ensure that the accuracy of thickness of wall body.
The first aspect of the invention proposes a kind of CAD floor plans wall thickness automatic identifying method, includes the following steps:
Upload CAD house type formatted files;
Backstage Service is called to parse the CAD house types formatted file;
Return to base map and the parallel segment group classified, i.e. wall information;
The endpoint of base map described in loaded and displayed and all parallel segment group middle conductors;
Line drawing wall tool in startup captures first endpoint;
It attempts to capture second endpoint, starts automatic wall thickness algorithm;
According to the direction of current line segment and wall thickness generation wall.
The second aspect of the invention proposes a kind of CAD floor plans wall thickness automatic recognition system, including headend equipment and Web Server, the headend equipment include processor and memory, and the processor obtains the number of server by network communication According to computer-readable instruction being stored in memory, when the computer-readable instruction is performed by the processor so that described Processor holds following steps:
Upload CAD house type formatted files;
Backstage Service is called to parse the CAD house types formatted file;
Return to base map and the parallel segment group classified, i.e. wall information;
The endpoint of base map described in loaded and displayed and all parallel segment group middle conductors;
Line drawing wall tool in startup captures first endpoint;
It attempts to capture second endpoint, starts automatic wall thickness algorithm;
According to the direction of current line segment and wall thickness generation wall.
Background server is then similar with general computer architecture including processor, hard disk, memory, system bus etc., but It is that server needs to provide highly reliable service, and needs work without interruption for 7x24 hours, to provide service for headend equipment It supports.
The invention has the advantages that wall recognizer proposed by the present invention is more accurate to the identification of thickness of wall body, And the present invention optimizes wall recognizer, the operand of each step in wall recognizer is analyzed, by operation It measures larger step and distributes to server completion, the operation pressure of user terminal is reduced using network architecture.Using the present invention Wall thickness automatic identifying method, user can efficiently copy house type, remove the operation for being manually entered different wall thickness from, and ensure that The accuracy of thickness of wall body has been accomplished fast and accurate.
Description of the drawings
Fig. 1 is the schematic diagram of wall in CAD diagram paper;
Fig. 2 is the drawing of the drafting in AutoCAD in one embodiment;
Fig. 3 is the schematic diagram that line segment endpoint is created in one embodiment;
Fig. 4 is the schematic diagram that wall is created in one embodiment;
Fig. 5 is that there are schematic diagrames during door and window in one embodiment;
Fig. 6 is to the schematic diagram of door and window line segment processing effect in one embodiment;
Fig. 7 is the flow chart of wall thickness automatic identifying method in one embodiment;
Fig. 8 is the flow chart of automatic wall thickness algorithm in one embodiment.
Specific embodiment
Structural principle of the present invention and functional characteristics are described further in conjunction with the drawings and specific embodiments, but not as Limitation of the invention.
In CAD diagram paper, the main pel for forming wall is exactly line segment, and wall is one formed by several line segments Closed area, the closed interval that wall is surrounded are a room.For example, in drawing shown in Fig. 1, comprising a room, There are 4 walls (being respectively labeled as 1~wall of wall 4), wherein wall 1 is represented by interior line segment 11 and outer line segment 12.
In one embodiment, CAD floor plan wall thickness automatic identifying methods of the invention include the following steps:
(1) house type drawing is drawn in AutoCAD, as shown in Figure 2;
(2) front end imports the cad file for drawing house type drawing and is uploaded to Web server, and Web server parses Cad file, specific resolving are then illustrating.The wall data in house type are returned to front end later.
(3) front end is created that all endpoints of line segment to come.As shown in figure 3, open cad file is shown as Background 31, and create the endpoint 32 of each line segment on it, i.e., shown in small circle;
(4) mural painting wall order in starting, selects starting point of any one endpoint as wall;
(5) when selecting another endpoint, automatic wall thickness algorithm is called to obtain wall thickness angle value, according to the wall thickness returned The direction of value and wall creates wall.In a kind of preferred mode, another endpoint may be used close to absorption mode into Row selection, to facilitate user's fast selecting.As shown in figure 4, the wall that wherein each grey rectangle expression has created (is marked respectively It is denoted as 41~wall of wall 45).It can be seen that these walls are completely superposed with the wall in Background, it is seen that automatic wall thickness algorithm is accurate True calculates wall thickness.If two endpoints of selection there is no suitable wall, can according to acquiescence wall thickness angle value and Direction creates.
In some cad files, door and window on wall can also be represented with line segment, as shown in figure 5, have respectively window 51~ Window 53, if window 51 is represented by 4 line segments, the outer profile of window is represented by the rectangle that 1~endpoint of endpoint 4 forms.Therefore In a preferred embodiment, need to filter out the endpoint of door and window in the thickness algorithms for calculating wall automatically, i.e., not window Endpoint as the wall thickness angle value calculated.It therefore, should not be window as shown in fig. 6, when selecting wall endpoint 1 and wall endpoint 2 The line segment endpoint of the lower edge at family 61 as reference, and should reasonably automatically identify wall thickness side 1000mm to generate wall.
By above-mentioned multiple embodiments it is found that after front end importing cad file, method automatic fitration of the invention has been fallen on wall Door and window, can accurately identify real wall, be calculated automatically from wall thickness angle value.According to Background come when copying floor plan, It can accelerate it and copy the speed of house type, and the precision of automatic identification thickness of wall body can reach grade.
Web server will be illustrated next to parse the process of cad file.The process includes:
(1) using ObjectARX, house type information is read;
(2) all line segments and multi-line section in cad file are read, including the line segment stored in Block, these line segments are pressed Classify according to direction and parallel condition, specifically include:
Step 1:Initialization mapping is denoted as Map1, and wherein key is line segment direction, is worth the array for line segment;
Step 2:For current line segment L1, Map1 is searched, is seen with the presence or absence of the key identical with L1 directions.It such as finds, then L1 is added in line segment array.Otherwise, it creates the direction of L1 and the key of line segment L1 is added to value to value, and this key In Map1;
Step 3:Next line segment is set as current line segment L1, repeats Step2, until traversing all line segments, Map1 is turned Change the storage of Json data into.
(3) AutoCAD base maps and the line segment group classified are returned into front end.
The process of above parsing cad file is packaged into WebService, and be set on terminal or remote server.
In another embodiment, as described in Figure 7, CAD floor plan wall thicknesses automatic identifying method of the invention includes following Step;
(1) CAD house type formatted files are uploaded;
(2) backstage Service is called to parse cad file;
(3) base map and the parallel segment group classified, i.e. wall information are returned;
(4) endpoint of loaded and displayed base map and all line segments;
(5) line drawing wall tool in starting, captures first endpoint;
(6) it attempts to capture second endpoint, starts automatic wall thickness algorithm, direction and d according to L1 generate wall.
The processing procedure of automatic wall thickness algorithm will be illustrated next.Various known walls, which may be used, in automatic wall thickness algorithm knows Other algorithm obtains wall, then automatic measurement thickness.In a kind of preferred embodiment, the automatic wall thickness algorithm as shown in figure 8, Include the following steps:
1) line segment that two points are formed currently is captured, is denoted as L1, and it is 1000mm to initialize wall thickness d, wall thickness is effective Value is set as 30mm~1000mm
2) all parallel segment groups are traversed, check whether current line segment group is parallel with L1, it is such as parallel, preserve current line segment group For PL1 and jump out cycle.Otherwise, algorithm is exited;
3) parallel lines PL1 is searched, L1 or conllinear line segment can be found in parallel lines.It is to continue with, otherwise, exits calculation Method;
4) relevant parallel lines line segment group PL1 is traversed, current line segment is denoted as L2, performs following Step1~Step3,
Step 1:Judge whether line segment L1 and L2 are conllinear, and whether Projection Line Segment is overlapped, this time recycled if then jumping out;
Step 2:Check in PL1 whether have it is conllinear with L1, and Projection Line Segment be overlapped, if can find, L2 is alternative line Section, and L1 and L2 can form the internal and external line of wall.Otherwise it jumps out and this time recycles;
Step 3:Note the distance between L1, L2 is dist;
Step 4:If dist is between virtual value, and smaller than d, then d is denoted as dist, at the same record L1 to L2 it Between direction;
4) wall thickness d and direction are finally returned to.
One of ordinary skill in the art will appreciate that realizing all or part of flow in above-described embodiment method, being can be with Relevant hardware is instructed to complete by computer program, which can be stored in a computer-readable storage and be situated between In matter, the program is when being executed, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, aforementioned storage medium can be The non-volatile memory mediums such as magnetic disc, CD, read-only memory (Read-Only Memory, ROM) or random storage note Recall body (Random Access Memory, RAM) etc..
Embodiment described above only expresses the several embodiments of the present invention, and description is more specific and detailed, but simultaneously Cannot the limitation to the scope of the claims of the present invention therefore be interpreted as.It should be pointed out that for those of ordinary skill in the art For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to the guarantor of the present invention Protect range.Therefore, the protection domain of patent of the present invention is subject to claim.

Claims (9)

1. a kind of CAD floor plans wall thickness automatic identifying method, includes the following steps:
Upload CAD house type formatted files;
Backstage Service is called to parse the CAD house types formatted file;
Return to base map and the parallel segment group classified;
The endpoint of base map described in loaded and displayed and all parallel segment group middle conductors;
Line drawing wall tool in startup captures first endpoint;
It attempts to capture second endpoint, starts automatic wall thickness algorithm;
According to the direction of current line segment and wall thickness generation wall.
2. a kind of CAD floor plans wall thickness automatic identifying method as described in claim 1, it is characterised in that described in the parsing CAD house type formatted files include:
(1) using ObjectARX, house type information is read;
(2) all line segments and multi-line section in the CAD house types formatted file are read, by these line segments according to direction and parallel feelings Condition is classified, and is specifically included:
Step 1:Initialization mapping is denoted as Map1, and wherein key is line segment direction, is worth the array for line segment;
Step 2:Check in PL1 whether have it is conllinear with L1, and Projection Line Segment be overlapped, if can find, L2 is alternative line segment, And L1 and L2 can form the internal and external line of wall.Otherwise it jumps out and this time recycles;
Step 3:Next line segment is set as current line segment L1, repeats Step2, until traversing all line segments, Map1 is converted into Json data store.
(3) AutoCAD base maps and the line segment group classified are returned into front end.
3. a kind of CAD floor plans wall thickness automatic identifying method as described in claim 1, it is characterised in that the automatic wall thickness is calculated Method includes the following steps:
The line segment that two points are formed currently is captured, is denoted as L1, and it is 1000mm to initialize wall thickness d, wall thickness virtual value is set For 30mm~1000mm;
All parallel segment groups are traversed, check whether current line segment group is parallel with L1, such as parallel, it is PL1 to preserve current line segment group And jump out cycle.Otherwise, algorithm is exited;
Parallel lines PL1 is searched, L1 or conllinear line segment can be found in parallel lines.It is to continue with, otherwise, exits algorithm;
Relevant parallel lines line segment group PL1 is traversed, current line segment is denoted as L2, performs following Step1~Step3,
Step 1:Judge whether line segment L1 and L2 are conllinear, and whether Projection Line Segment is overlapped, this time recycled if then jumping out;
Step 2:Check in PL1 whether have it is conllinear with L1, and Projection Line Segment be overlapped.If can find, continue, at this point, L2 is Alternative line segment, i.e. L1 and L2 can form the internal and external line of wall, otherwise jump out and this time recycle;
Step 3:Note the distance between L1, L2 is dist;
Step 4:If dist is between virtual value, and smaller than d, then d is denoted as dist, while recorded between L1 to L2 Direction;
Finally return to the direction of wall thickness d and wall.
4. a kind of CAD floor plans wall thickness automatic identifying method as described in claim 1, it is characterised in that described to attempt to capture the Two endpoints are specially to be selected using close to by the way of absorption.
5. a kind of CAD floor plans wall thickness automatic identifying method as described in claim 1, it is characterised in that the automatic wall thickness is calculated Method can filter out the endpoint of door and window.
6. a kind of CAD floor plans wall thickness automatic recognition system, including headend equipment and Web server, it is characterised in that:
The headend equipment includes processor and memory, and computer-readable instruction, the calculating are stored in the memory When machine readable instruction is performed by the processor, and the processor is caused to perform any one of claim 1-5 institutes The each step of CAD floor plan wall thickness automatic identifying methods stated.
A kind of 7. CAD floor plans wall thickness automatic recognition system as claimed in claim 6, it is characterised in that the Web server Including processor and memory, work without interruption within described server 7x24 hours.
8. a kind of CAD floor plans wall thickness automatic recognition system as claimed in claim 6, it is characterised in that described in the parsing The process of CAD house type formatted files is packaged into WebService, and be set in terminal.
9. a kind of CAD floor plans wall thickness automatic recognition system as claimed in claim 6, it is characterised in that described in the parsing The process of CAD house type formatted files is packaged into WebService, and be set on remote server.
CN201810037523.1A 2018-01-15 2018-01-15 Method and system for automatically identifying wall thickness of CAD house type graph Active CN108133116B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201810037523.1A CN108133116B (en) 2018-01-15 2018-01-15 Method and system for automatically identifying wall thickness of CAD house type graph

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201810037523.1A CN108133116B (en) 2018-01-15 2018-01-15 Method and system for automatically identifying wall thickness of CAD house type graph

Publications (2)

Publication Number Publication Date
CN108133116A true CN108133116A (en) 2018-06-08
CN108133116B CN108133116B (en) 2021-08-24

Family

ID=62400563

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201810037523.1A Active CN108133116B (en) 2018-01-15 2018-01-15 Method and system for automatically identifying wall thickness of CAD house type graph

Country Status (1)

Country Link
CN (1) CN108133116B (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109241635A (en) * 2018-09-12 2019-01-18 深圳市彬讯科技有限公司 House type analysis method and device
CN110163954A (en) * 2019-04-12 2019-08-23 平安城市建设科技(深圳)有限公司 Three-dimensional house type model generating method, device, equipment and storage medium
CN112270739A (en) * 2020-07-15 2021-01-26 深圳市华橙数字科技有限公司 Indoor area confirmation method and device based on two dimensions, terminal and storage medium

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050264768A1 (en) * 2004-05-14 2005-12-01 Tetsujiro Kondo Wall structure
CN102750553A (en) * 2012-06-28 2012-10-24 北京中科广视科技有限公司 Recognizing method of wall plane profile
CN103971098A (en) * 2014-05-19 2014-08-06 北京明兰网络科技有限公司 Method for recognizing wall in house type image and method for automatically correcting length ratio of house type image
CN104732192A (en) * 2013-12-23 2015-06-24 中国移动通信集团设计院有限公司 Method and device for recognizing walls on architecture drawing
CN105975675A (en) * 2016-05-04 2016-09-28 杭州群核信息技术有限公司 Method for generating housing type by editing imported local file on line
CN106484959A (en) * 2016-09-19 2017-03-08 上海斐讯数据通信技术有限公司 A kind of house type drawing drawing method and rendering apparatus
CN107122528A (en) * 2017-04-13 2017-09-01 广州乐家数字科技有限公司 A kind of floor plan parametrization can edit modeling method again

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050264768A1 (en) * 2004-05-14 2005-12-01 Tetsujiro Kondo Wall structure
CN102750553A (en) * 2012-06-28 2012-10-24 北京中科广视科技有限公司 Recognizing method of wall plane profile
CN104732192A (en) * 2013-12-23 2015-06-24 中国移动通信集团设计院有限公司 Method and device for recognizing walls on architecture drawing
CN103971098A (en) * 2014-05-19 2014-08-06 北京明兰网络科技有限公司 Method for recognizing wall in house type image and method for automatically correcting length ratio of house type image
CN105975675A (en) * 2016-05-04 2016-09-28 杭州群核信息技术有限公司 Method for generating housing type by editing imported local file on line
CN106484959A (en) * 2016-09-19 2017-03-08 上海斐讯数据通信技术有限公司 A kind of house type drawing drawing method and rendering apparatus
CN107122528A (en) * 2017-04-13 2017-09-01 广州乐家数字科技有限公司 A kind of floor plan parametrization can edit modeling method again

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
RAMON SERRANO, JOSE等: ""On the impact of DPF downsizing and cellular geometry on filtration efficiency in pre- and post-turbine placement"", 《JOURNAL OF AEROSOL SCIENCE》 *
王禹: ""基于AutoCAD的建筑工程设计专业图库"", 《中国优秀博硕士学位论文全文数据库 (硕士) 工程科技Ⅱ辑》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109241635A (en) * 2018-09-12 2019-01-18 深圳市彬讯科技有限公司 House type analysis method and device
CN109241635B (en) * 2018-09-12 2023-05-26 深圳市彬讯科技有限公司 House type analysis method and device
CN110163954A (en) * 2019-04-12 2019-08-23 平安城市建设科技(深圳)有限公司 Three-dimensional house type model generating method, device, equipment and storage medium
CN112270739A (en) * 2020-07-15 2021-01-26 深圳市华橙数字科技有限公司 Indoor area confirmation method and device based on two dimensions, terminal and storage medium
CN112270739B (en) * 2020-07-15 2024-05-14 深圳市华橙数字科技有限公司 Indoor area confirmation method and device based on two dimensions, terminal and storage medium

Also Published As

Publication number Publication date
CN108133116B (en) 2021-08-24

Similar Documents

Publication Publication Date Title
CN108038474B (en) Face detection method, convolutional neural network parameter training method, device and medium
CN110706509B (en) Parking space and direction angle detection method, device, equipment and medium thereof
CN104732192B (en) A kind of architectural drawing wall recognition methods and device
CN105528359B (en) For storing the method and system of travel track
CN109710708B (en) Electronic map mapping method and device
CN109087510A (en) traffic monitoring method and device
CN110334390B (en) Method and device for identifying outer wall in computer-aided design (CAD), storage medium and processor
US20120321134A1 (en) Face tracking method and device
CN108133116A (en) CAD floor plan wall thickness automatic identifying methods and system
CN113657202B (en) Component identification method, training set construction method, device, equipment and storage medium
CN110263713A (en) Method for detecting lane lines, device, electronic equipment and storage medium
CN116363319B (en) Modeling method, modeling device, equipment and medium for building roof
CN110909868A (en) Node representation method and device based on graph neural network model
CN112613551A (en) Automobile part identification method, storage medium and system
CN110264452A (en) A kind of workpiece inspection method, device, equipment and storage medium
CN112381034A (en) Lane line detection method, device, equipment and storage medium
CN110874170A (en) Image area correction method, image segmentation method and device
CN109298450A (en) Method and device for analyzing attributes of seismic acquisition observation system
CN109615679B (en) Identification method of house type component
CN117612128B (en) Lane line generation method, device, computer equipment and storage medium
CN106651803A (en) House type data identification method and device
CN103837135B (en) Workpiece inspection method and system thereof
CN114037912A (en) Method and device for detecting change of remote sensing image and computer readable storage medium
CN118031985A (en) Electronic navigation map updating method and system
WO2024021350A1 (en) Image recognition model training method and apparatus, computer device, and storage medium

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

Address after: 100007 Floor 1601, No. 16, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant after: Beijing unexpectedly Home New Retail Chain Group Co.,Ltd.

Address before: 100007 Floor 1601, No. 16, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant before: BEIJING JURANZHIJIA YUNDIHUI NEW RETAIL CHAIN Co.,Ltd.

Address after: 100007 Floor 1601, No. 16, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant after: BEIJING JURANZHIJIA YUNDIHUI NEW RETAIL CHAIN Co.,Ltd.

Address before: 100007 Floor 1601, No. 16, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant before: BEIJING EASYHOME HOME FURNISHING CHAIN GROUP Co.,Ltd.

Address after: 100007 Floor 1601, No. 16, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant after: BEIJING EASYHOME HOME FURNISHING CHAIN GROUP Co.,Ltd.

Address before: 100007 Floor 1601, No. 16, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant before: BEIJING EASYHOME SHEJIJIA FURNISHING CHAIN STORE GROUP Co.,Ltd.

CB02 Change of applicant information
TA01 Transfer of patent application right

Effective date of registration: 20190329

Address after: Room 2011, 20th Floor, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant after: BEIJING HOMESTYLER NETWORK TECHNOLOGY Co.,Ltd.

Address before: 100007 Floor 1601, No. 16, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant before: Beijing unexpectedly Home New Retail Chain Group Co.,Ltd.

TA01 Transfer of patent application right
CB02 Change of applicant information
CB02 Change of applicant information

Address after: Room 2011, 20 / F, A3 Dongzhimen South Street, Dongcheng District, Beijing

Applicant after: Lie Ping Designer (Beijing) Technology Co.,Ltd.

Address before: Room 2011, 20th Floor, No. 3, Dongzhimen South Street, Dongcheng District, Beijing

Applicant before: BEIJING HOMESTYLER NETWORK TECHNOLOGY Co.,Ltd.

GR01 Patent grant
GR01 Patent grant
CP03 Change of name, title or address

Address after: 100102 room 01, 3401, 34th floor, building 6, Wangjing Dongyuan Fourth District, Chaoyang District, Beijing

Patentee after: Every flat every house designer (Beijing) Technology Co.,Ltd.

Address before: Room 2011, 20th floor, A3 Dongzhimen South Street, Dongcheng District, Beijing

Patentee before: Lie Ping Designer (Beijing) Technology Co.,Ltd.

CP03 Change of name, title or address