CN109558675A - Elevator shaft design method and system based on image recognition - Google Patents
Elevator shaft design method and system based on image recognition Download PDFInfo
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- CN109558675A CN109558675A CN201811436244.9A CN201811436244A CN109558675A CN 109558675 A CN109558675 A CN 109558675A CN 201811436244 A CN201811436244 A CN 201811436244A CN 109558675 A CN109558675 A CN 109558675A
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- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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Abstract
Present disclose provides a kind of elevator shaft design method and system based on image recognition, the hoistway image of perpendicular separation acquisition, image is successively identified, splicing and A/D conversion, form the maximum allowable Shell model for containing space of complete elevator shaft, parametric data is generated using Shell model, the parametric data and specified elevator parameter specification carry out intelligent matching, if successful match, the elevator parameter specification is then exported as design scheme, it such as matches unsuccessful, it is matched again after then adjusting elevator parameter specification, until successful match, the disclosure avoids personnel, and incidental eminence falls object when operation process in the hazardous environment of elevator shaft, step on sky, the life injury accidents and being capable of Design of automatic generation scheme such as shearing.
Description
Technical field
This disclosure relates to a kind of elevator shaft design method and system based on image recognition.
Background technique
Only there is provided background technical informations relevant to the disclosure for the statement of this part, it is not necessary to so constitute first skill
Art.
Elevator shaft is lift car, balances the channel re-run, is the space of a relative closure under construction.Hoistway
Structure, shape and geometric dimension play a significant role for the determination of elevator parameter, be the basis of elevator design.
Under the prior art, structure, shape and the geometric dimension of elevator shaft must be entered scene inside hoistway by professional
Exploration obtains, therefore there is artificial or environment (such as accumulation of measurement error, sundries, the covering of ponding mud, dust light), dangerous field
The influence of factors such as (there are the personal injuries such as high falling, eminence junk, cavity shearing) is closed, and increasingly with skyscraper
Increase, manually successively climbs building exploration and expend very much physical strength, with causing work mistake and safety accident often and easily.
Hoistway structure, shape and geometric dimension measurement error excessive (required precision of elevator design is grade) cause to set
Count mistake: such as, design size is overproof, carriage etc. may dress does not cause to do over again or even scrap into hoistway, it is on the contrary then waste building sides
Product；In addition, the beam, column in concealed work may protrude hoistway boundary, and manned surveys are influenced to fail by the factors such as environment, artificial
It was found that the associated components of elevator may be interfered with these projections then when installing elevator；Meanwhile geometric dimension is surveyed
Error is big, inevitably exists and lacks or have more waste with configurations such as dimension relationship components such as guide rail, cable, fastener.
More influential to be, elevator design (type selecting, configuration, pattern) generally uses the ginseng based on engineering drawing software at present
Numberization secondary development, and design input and front end is the data based on above-mentioned artificial hoistway exploration, under the prior art, these numbers
It is associated with according to the design cell not yet with rear end, but by manually putting down transmission, there is greatly distortion, erroneous judgement and lagging influence.
Summary of the invention
The disclosure to solve the above-mentioned problems, proposes a kind of elevator shaft design method based on image recognition and is
System, the truth that the disclosure can fast, accurately describe hoistway both ensure that data without being manually entered dangerous situation
It is complete, complete, accurate, and ensured personnel safety.
According to some embodiments, the disclosure is adopted the following technical scheme that
A kind of elevator shaft design method based on image recognition, comprising the following steps:
The hoistway image of perpendicular separation acquisition successively identifies image, is spliced and A/D conversion, forms complete electricity
Stair shaft road it is maximum allowable contain space Shell model, using Shell model generate parametric data, the parametric data with
Specified elevator parameter specification carries out intelligent matching, if successful match, exports the elevator parameter specification and is used as design side
Case, such as matches unsuccessful, then matches again after adjusting elevator parameter specification, until successful match.
It is limited as further, the parametric data that the Shell model is generated and pre-stored each standardization
Empirical value template is matched, and is specified elevator parameter specification with each normalized template, and optimal elevator choosing is generated after matching
Type design scheme.
It is limited as further, all boundary points of hoistway Shell model, which are inclusive in the maximum of empirical value template, to be held
Perhaps boundary and minimum are allowed between boundary.
It is limited as further, the hoistway maximum for setting permission contains space as A, and it is A ' that minimum, which contains space, then
A tolerance band is formed between A-A ' is set as logical if the boundary of the Shell model is all inclusive between A-A '
It crosses, allows next design and manufacture；If the boundary of the Shell model is beyond except A-A ' range, then adaptability reduces or increases
The elevator specification in empirical value template set greatly.
A kind of elevator shaft designing system based on image recognition, runs on processor or memory, is configured as holding
Row following steps:
The hoistway image for receiving perpendicular separation acquisition successively identifies image, is spliced and A/D conversion, formed complete
Elevator shaft it is maximum allowable contain space Shell model, utilize Shell model generate parametric data, the parametrization number
Intelligent matching is carried out according to specified elevator parameter specification, if successful match, elevator parameter specification conduct is exported and sets
Meter scheme, such as matches unsuccessful, then matches again after adjusting elevator parameter specification, until successful match.
A kind of elevator shaft designing system based on image recognition, including image collecting device, processor and communication module,
Wherein:
Described image acquisition device, be configured as vertically moving in elevator shaft include in acquisition hoistway hoistway structure,
The image data of shape and geometric dimension；
The communication module is configured as image data being transferred to processor by wireless communication mode；
The processor, be configured as storage described image data, and image data is identified, splice and A/D turn
It changes, forms the maximum allowable Shell model for containing space of hoistway, generate parametric data, the parametrization number using Shell model
Intelligent matching is carried out according to specified elevator parameter specification, if successful match, elevator parameter specification conduct is exported and sets
Meter scheme, such as matches unsuccessful, then matches again after adjusting elevator parameter specification, until successful match.
It being limited as further, the processor includes data memory module, image processing module and matching module,
In:
The data memory module is configured as storage described image data；
Described image processing module is configured as identifying image data, splice and A/D conversion, forms hoistway most
The Shell model for allowing to contain space greatly generates parametric data using Shell model；
The matching module is configured as matching the parametric data and specified elevator parameter specification, if matching
Success, then export the elevator parameter specification as design scheme, such as matches unsuccessful, then adjusts after elevator parameter specification again
Match, until successful match.
It is limited as further, moving track or slip rope is provided in the hoistway, camera can be slided by connector
It is dynamic to be connected on the moving track or slip rope, form image collecting device.
It is limited as further, described image acquisition device includes flying robot and is arranged on flying robot
Camera.
It is limited as further, the wireless communication mode includes but is not limited to mobile communication, Wifi, bluetooth, Yun Ping
Platform etc..
Compared with prior art, the disclosure has the beneficial effect that
The disclosure is matched, if it does, then corresponding mould by the building maximum allowable model of hoistway with corresponding template
Plate is that determining design scheme modifies corresponding template if matching is unsuccessful, is allowed to be adapted with Shell model, formation can
Capable design scheme guarantees the feasibility and accuracy of elevator design.
The disclosure substitutes the artificial data for carrying out elevator shaft by image collecting device and acquires, and avoids human error,
Data collected are truer, comprehensive and accurate, while avoiding personnel's operation process in the hazardous environment of elevator shaft
When incidental eminence pendant object, step on the life injury accidents such as empty, shearing；
Measurement, calculating, design fault has been reduced or avoided by carrying out image recognition, conversion and matching automatically in the disclosure
Or error correction loss, the delivery cycle is shortened, increases the scientific and technological content of product, create more values for user, be conducive to elevator
Intelligence is realized in product design manufacture, is conducive to the technological progress of elevator industry.
Detailed description of the invention
The accompanying drawings constituting a part of this application is used to provide further understanding of the present application, and the application's shows
Meaning property embodiment and its explanation are not constituted an undue limitation on the present application for explaining the application.
Fig. 1 is the system construction drawing of the disclosure；
Fig. 2 is the work flow diagram of the disclosure.
Specific embodiment:
The disclosure is described further with embodiment with reference to the accompanying drawing.
It is noted that following detailed description is all illustrative, it is intended to provide further instruction to the application.Unless another
It indicates, all technical and scientific terms used herein has usual with the application person of an ordinary skill in the technical field
The identical meanings of understanding.
It should be noted that term used herein above is merely to describe specific embodiment, and be not intended to restricted root
According to the illustrative embodiments of the application.As used herein, unless the context clearly indicates otherwise, otherwise singular
Also it is intended to include plural form, additionally, it should be understood that, when in the present specification using term "comprising" and/or " packet
Include " when, indicate existing characteristics, step, operation, device, component and/or their combination.
In the disclosure, term for example "upper", "lower", "left", "right", "front", "rear", "vertical", "horizontal", " side ",
The orientation or positional relationship of the instructions such as "bottom" is to be based on the orientation or positional relationship shown in the drawings, only to facilitate describing this public affairs
The relative for opening each component or component structure relationship and determination, not refers in particular to either component or element in the disclosure, cannot understand
For the limitation to the disclosure.
In the disclosure, term such as " affixed ", " connected ", " connection " be shall be understood in a broad sense, and indicate may be a fixed connection,
It is also possible to be integrally connected or is detachably connected；It can be directly connected, it can also be indirectly connected through an intermediary.For
The related scientific research of this field or technical staff can determine the concrete meaning of above-mentioned term in the disclosure as the case may be,
It should not be understood as the limitation to the disclosure.
The explanation of 3.1.15 in GB/T7024-2008 " elevator, escalator, moving sidewalk term ": hoistway
(Well) refer to space needed for guaranteeing lift car, counterweight (balance weight) safe operation.The space is usually with pit bottom, well
Road wall and hoistway top are boundary.
It is a kind of based on image recognition technology elevator shaft measurement and designing system, be based on image recognition technology, system by
Intelligent data acquisition equipment (removable camera, data storage card, data management software etc.) and back-end data processing system
Composition.Related data is transmitted by wireless communication modes such as Wifi, cloud platform, mobile communication.
Removable camera vertically moves the image datas such as acquisition hoistway structure, shape, geometric dimension in elevator shaft,
Scheduled acquisition data completely pass through wireless communication mode for the data transmission to image processing system, image processing software afterwards
Described image data carry out A/D conversion, form the maximum allowable Shell model for containing space of complete elevator shaft, the shell mould
By the template having standardized pre-stored in software systems and elevator design unit, (empirical value of one group of difference parameter holds type
Difference space) intelligent matching is carried out, automatically generate optimal elevator selection design scheme.
Specifically includes the following steps:
(1) intelligent data acquisition equipment and its course of work
Intelligent data acquisition equipment includes one group of camera, data storage device, transmitting and attachment device, moving track
Or slip rope.The intelligent data acquisition equipment is in elevator shaft by the mobile collecting work for completing image data of instruction, institute
It states image data and image processing system is sent to by wireless communication mode, scheduling algorithm is converted by image recognition, splicing, A/D,
The maximum elevator for converting the data into permission contains the Shell model in space, the basic number that related data is inputted as elevator design
According to；
(2) Shell model that image data is established is matched with the intelligence of experience template
Shell model is matched by the algorithm software of design cell with the empirical value template being stored in design cell,
Automatically generate optimal elevator selection design scheme.The algorithm of the algorithm software imposes a condition: assuming that the well that the elevator allows
It is A that road maximum, which contains space, and it is A ' that minimum, which contains space, then a tolerance band is formed between A-A ': if the Shell model
Boundary be all inclusive between A-A ', then be set as passing through, allow next design and manufacture；Such as the Shell model
Boundary exceeds except A-A ' range, then is set as interrupting, the system prompt model is not suitable for selectively empirical value template, can Shen
It please change (as reduced elevator specification or increase).
Minimum contains space and refers to the space for accommodating lift facility by the smallest possible that image measurement is got, it is by measuring
The enveloping surface that constitutes of image data form a shell, with storage certain specification in the database established based on experience value
Elevator installation space: and a containing space is compared.If appropriate then conduct design input, it is improper, it is transferred to it
The containing space of its specification is designed.
To sum up, elevator shaft parameter can fast, accurately describe well using intelligent sensing equipment data acquisition
The truth in road not only ensure that the complete, complete, accurate of data, but also ensured personnel's peace without being manually entered dangerous situation
Entirely；
Image data by long distance wireless mode can be realized with back-end data processing system, design and manufacture system object
Connection is conducive to technological progress to make a node for becoming Intelligent elevator manufacture using the elevator design of this project.
Specifically, provide a kind of embodiment, the present embodiment using remote control distributor cameras people (be not limited to, can also
To use the guiding devices such as setting guide rail, slip rope guidance data acquisition equipment in hoistway to move in hoistway) carry out picture number
According to acquisition.
As shown in Figure 1, image data acquiring equipment enters in elevator shaft, operator uses operation control outside hoistway
Device (such as smart phone) observes the position of acquisition equipment by indicator screen, and adjustment acquisition equipment to scheduled position carries out
Image Acquisition, acquired image data are saved in storage device, pass through wireless facilities (such as mobile communication, Wifi, cloud platform
Deng) image data is sent to image processing system (such as designing unit or user), by image procossing, complete elevator shaft
Each parameter generates effectively profile diagram by algorithm software, and establishes corresponding Shell model, and Shell model data are turned by A/D
It changes, becomes parametric data, the data are compared with empirical value template data and match, and automatically generate effectively elevator design side
Case.
Certainly, above-mentioned image recognition is the prior art.Pass through position using devices such as three-dimensional camera, image sensors
Image (pixel) information required for variation acquires is set, splicing is that the image of a frame frame is connected by computerized algorithm (software)
Get up, makes an entirety.A/D conversion refers to the process of that analogue data (such as image) is converted into numerical data, also uses
Computer software data processing technique can be realized.
As shown in Fig. 2, the data processing system of design cell starts, the control operating system of live image acquisition device is opened
It is dynamic.
Image collecting device moves in elevator shaft according to operational order and obtains image data, passes through control operation system
System or remote data processing system confirmation, if image is met the requirements, then image data is wirelessly sent to elevator design
The data processing system of unit；Acquired image data are such as confirmed not by control operating system or remote data processing system
It is able to satisfy requirement, then controls operating system by amendment or the motion profile or parameter of adjustment image collecting device, acquires again
Image data is until meet the requirements.Image data is remotely sent to data processing system, generates shell by data processing and conversion
Body Model or parametric data, the Shell model or parametric data and the specified empirical value template (electricity that such as user requires
Terraced parameter specification) carry out intelligent matching, it is such as matched the result shows that, the Shell model or parametric data and described specified
Empirical value template matching success (structure, shape, the geometric dimension of the elevator shaft meet scheduled product specification parameter), then
System is set as passing through；If matching result cannot be met the requirements, then system is set as interrupting, or re-starts data processing and (adjust
Matched again after whole specifications parameter), or terminate this operation.
The foregoing is merely preferred embodiment of the present application, are not intended to limit this application, for the skill of this field
For art personnel, various changes and changes are possible in this application.Within the spirit and principles of this application, made any to repair
Change, equivalent replacement, improvement etc., should be included within the scope of protection of this application.
Although above-mentioned be described in conjunction with specific embodiment of the attached drawing to the disclosure, model not is protected to the disclosure
The limitation enclosed, those skilled in the art should understand that, on the basis of the technical solution of the disclosure, those skilled in the art are not
Need to make the creative labor the various modifications or changes that can be made still within the protection scope of the disclosure.
Claims (10)
1. a kind of elevator shaft design method based on image recognition, it is characterized in that: the following steps are included:
Perpendicular separation acquisition hoistway image, image is successively identified, splice and A/D conversion, form complete elevator
The maximum allowable Shell model for containing space in road generates parametric data using Shell model, the parametric data and specified
Elevator parameter specification carry out intelligent matching and export the elevator parameter specification as design scheme, such as if successful match
It matches unsuccessful, is then matched again after adjusting elevator parameter specification, until successful match.
2. a kind of elevator shaft design method based on image recognition as described in claim 1, it is characterized in that: by the shell
The parametric data that model generates is matched with pre-stored each standardization empirical value template, with each normalized template
For specified elevator parameter specification, optimal elevator selection design scheme is generated after matching.
3. a kind of elevator shaft design method based on image recognition as described in claim 1, it is characterized in that: hoistway shell mould
All boundary points of type are inclusive in the maximum allowable boundary of empirical value template and minimum is allowed between boundary.
4. a kind of elevator shaft design method based on image recognition as claimed in claim 3, it is characterized in that: what setting allowed
It is A that hoistway maximum, which contains space, and it is A ' that minimum, which contains space, then a tolerance band is formed between A-A ', if the shell mould
The boundary of type is all inclusive between A-A ', then is set as passing through, and allows next design and manufacture；Such as the Shell model
Boundary beyond except A-A ' range, then adaptability reduces or increases the elevator specification in the empirical value template of setting.
5. a kind of elevator shaft designing system based on image recognition is matched it is characterized in that: running on processor or memory
It is set to execution following steps:
The hoistway image for receiving perpendicular separation acquisition successively identifies image, is spliced and A/D conversion, forms complete electricity
Stair shaft road it is maximum allowable contain space Shell model, using Shell model generate parametric data, the parametric data with
Specified elevator parameter specification carries out intelligent matching, if successful match, exports the elevator parameter specification and is used as design side
Case, such as matches unsuccessful, then matches again after adjusting elevator parameter specification, until successful match.
6. a kind of elevator shaft designing system based on image recognition, it is characterized in that: including image collecting device, processor and leading to
Believe module, in which:
Described image acquisition device, being configured as vertically moving in elevator shaft in acquisition hoistway includes hoistway structure, shape
With the image data of geometric dimension；
The communication module is configured as image data being transferred to processor by wireless communication mode；
The processor, be configured as storage described image data, and image data is identified, splice and A/D conversion, shape
At hoistway it is maximum allowable contain space Shell model, using Shell model generate parametric data, the parametric data with
Specified elevator parameter specification carries out intelligent matching, if successful match, exports the elevator parameter specification and is used as design side
Case, such as matches unsuccessful, then matches again after adjusting elevator parameter specification, until successful match.
7. a kind of elevator shaft designing system based on image recognition as claimed in claim 6, it is characterized in that: the processor
Including data memory module, image processing module and matching module, in which:
The data memory module is configured as storage described image data；
Described image processing module is configured as identifying image data, splice and A/D conversion, forms hoistway maximum and permit
Perhaps the Shell model for containing space generates parametric data using Shell model；
The matching module is configured as matching the parametric data and specified elevator parameter specification, if successful match,
The elevator parameter specification is then exported as design scheme, such as matches unsuccessful, then is matched again after adjusting elevator parameter specification, until
Successful match.
8. a kind of elevator shaft designing system based on image recognition as claimed in claim 6, it is characterized in that: in the hoistway
It is provided with moving track or slip rope, camera on the moving track or slip rope, forms figure by connector slidable connection
As acquisition device.
9. a kind of elevator shaft designing system based on image recognition as claimed in claim 6, it is characterized in that: described image is adopted
Acquisition means include flying robot and the camera that is arranged on flying robot.
10. a kind of elevator shaft designing system based on image recognition as claimed in claim 6, it is characterized in that: described wireless
Communication modes include but is not limited to mobile communication, Wi f i and bluetooth.
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| CN109974585A (en) * | 2019-04-18 | 2019-07-05 | 甘肃博程技术咨询服务有限公司 | A kind of elevator shaft structure recognition and data measurement unit |
| CN110110966A (en) * | 2019-04-08 | 2019-08-09 | 日立楼宇技术（广州）有限公司 | Method for early warning, device, computer equipment and the storage medium of hoistway danger |
| CN111369674A (en) * | 2020-04-13 | 2020-07-03 | 长沙纵横电梯工程有限公司 | Intelligent elevator model selection system, method and medium based on BIM model |
| CN113177777A (en) * | 2021-05-05 | 2021-07-27 | 深圳市行识未来科技有限公司 | Product design system based on industrial internet |
| CN117645221A (en) * | 2024-01-29 | 2024-03-05 | 通用电梯股份有限公司 | Elevator dangerous area identification and boundary crossing alarm method and device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110110966A (en) * | 2019-04-08 | 2019-08-09 | 日立楼宇技术（广州）有限公司 | Method for early warning, device, computer equipment and the storage medium of hoistway danger |
| CN110110966B (en) * | 2019-04-08 | 2021-10-01 | 日立楼宇技术（广州）有限公司 | Well danger early warning method and device, computer equipment and storage medium |
| CN109974585A (en) * | 2019-04-18 | 2019-07-05 | 甘肃博程技术咨询服务有限公司 | A kind of elevator shaft structure recognition and data measurement unit |
| CN111369674A (en) * | 2020-04-13 | 2020-07-03 | 长沙纵横电梯工程有限公司 | Intelligent elevator model selection system, method and medium based on BIM model |
| CN113177777A (en) * | 2021-05-05 | 2021-07-27 | 深圳市行识未来科技有限公司 | Product design system based on industrial internet |
| CN113177777B (en) * | 2021-05-05 | 2024-04-30 | 深圳市行识未来科技有限公司 | Product design system based on industrial Internet |
| CN117645221A (en) * | 2024-01-29 | 2024-03-05 | 通用电梯股份有限公司 | Elevator dangerous area identification and boundary crossing alarm method and device |
| CN117645221B (en) * | 2024-01-29 | 2024-04-16 | 通用电梯股份有限公司 | Elevator dangerous area identification and boundary crossing alarm method and device |
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|---|---|
| CN109558675B (en) | 2023-04-07 |
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