WO2020201559A1 - Rapport numérique de l'état de bâtiments - Google Patents

Rapport numérique de l'état de bâtiments Download PDF

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Publication number
WO2020201559A1
WO2020201559A1 PCT/EP2020/059676 EP2020059676W WO2020201559A1 WO 2020201559 A1 WO2020201559 A1 WO 2020201559A1 EP 2020059676 W EP2020059676 W EP 2020059676W WO 2020201559 A1 WO2020201559 A1 WO 2020201559A1
Authority
WO
WIPO (PCT)
Prior art keywords
system arrangement
components
arrangement according
deviations
actual
Prior art date
Application number
PCT/EP2020/059676
Other languages
German (de)
English (en)
Inventor
Fabian Schmidt
Rolf KRETSCHMER
Frank PELZER
Original Assignee
raumdichter GmbH
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 raumdichter GmbH filed Critical raumdichter GmbH
Priority to EP20716791.7A priority Critical patent/EP3942435A1/fr
Publication of WO2020201559A1 publication Critical patent/WO2020201559A1/fr

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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
    • G06F16/56—Information retrieval; Database structures therefor; File system structures therefor of still image data having vectorial format
    • 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
    • G06F16/53—Querying
    • G06F16/532—Query formulation, e.g. graphical querying
    • G—PHYSICS
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/20—Scenes; Scene-specific elements in augmented reality scenes

Definitions

  • the present invention is directed to a system arrangement for automated and digital building status control and to a correspondingly set up method.
  • a system arrangement for automated and digital building status control With the proposed system arrangement or the proposed method, it is possible to assess a construction process fully automatically and to ensure that trades have been implemented in accordance with the specifications.
  • the present invention consequently enables a corresponding control with only minor technical aids.
  • the present invention is further directed to a computer program product with control commands which operate the system arrangement or implement the method.
  • EP 2 418 588 A1 shows a visual localization method which is based on the fact that images are stored in a database and these are then processed.
  • DE 10 2016 116 572 A1 shows an alignment of point clouds for modeling interior spaces. For this purpose, partial models of the interior of a building structure are created.
  • EP 2 711 670 A1 also shows a method for visual localization. This is done on the basis of provided images.
  • DE 10 2018 204 417 A1 shows a method for managing and monitoring a project, in particular a construction project.
  • Construction site equipment and construction site logistics are to be set up and implemented, both locally and qualitatively and quantitatively. These can be installations or building components in general.
  • a room can have a radiator and a certain number of windows.
  • the windows are specified with regard to their dimensions and are also arranged at a predetermined location in the room. While the position in the room is predetermined by the opening in the shell of a window, there are a number of options for installing a radiator. But planning is only one real option. These different options include, among other things, the horizontal or vertical spacing of the radiator and, in addition, special requirements are placed on a radiator, e.g. a very specific brand.
  • this exemplary component must have a certain size and also provide a certain function. If a shell is fitted with such components, it is a considerable effort to check which trades in a list have already been implemented and which have not. In addition, it is necessary to check whether the work has been carried out in accordance with the specifications.
  • radiators are stolen from a shell or damaged. In the event of damage, such radiators must then be replaced or reassembled. Consequently, it must also be examined whether there has been a step backwards in the construction process and whether a trade has to be carried out again.
  • the radiator is only to be understood as an example for any component of a building project.
  • Imaging methods are known for checking specifications, which are used, for example, in larger factories.
  • the prior art only knows such methods in highly standardized applications in which, for example, a product runs through a predetermined processing chain.
  • the prior art essentially only shows a comparison of previously stored images with dynamically recorded images.
  • the prior art shows imaging or image processing methods that enable an algorithm to recognize objects in a data stream.
  • traffic sign recognition is known which examines the edges of the lane using an optical sensor and then identifies traffic signs using an image comparison and then interprets them. The corresponding content can then be semantically adopted from this.
  • Procedures for supporting construction projects are typically carried out manually, which is time-consuming and prone to errors.
  • the prior art does not show any satisfactory methods of how corresponding models are used dynamically at runtime in such a way that certain processes in construction projects are automatically supported.
  • When checking components, for example in a shell there is typically manual acceptance by an employee. In general, this task is time-consuming and also prone to errors.
  • trades have to be carried out again and thus manual recording of the progress of a construction project must be carried out be carried out again manually. It is precisely these iterations that make a corresponding process error-prone and complex.
  • Aids are known for measuring and checking certain specifications which, for example, use a laser to check geometric shapes and, if necessary, read out dimensions. This is typically an expensive device, which must always be brought to the building project in a complex manner.
  • a system arrangement for automated and digital building status control is proposed, with an imaging unit set up to create a visual image of a real-world space having actual building components; an interface unit set up to provide a virtual target model having target structural components which are described on the basis of a specification; a comparison unit set up to identify deviations of the target model from the actual model and a visualization unit set up to visually display the identified deviations in the created image.
  • the proposed system arrangement can be operated in an automated manner, since no human intervention is necessary, e.g. through a WEB cam. Only when recording a room is it advantageous if an optical sensor or a camera is guided by a person. However, this can also be automated in such a way that a camera is arranged centrally in a room and then creates an image of the room. A digital construction status check can then be carried out, since real-world conditions are checked using a virtual model.
  • the construction status check is carried out by providing a specification which indicates which components must be installed and how.
  • the real-world space is then virtualized and described by means of corresponding data.
  • the components to be provided can be listed on the basis of a specification and then on the basis of the construction status check it can be identified which components have already been installed or implemented and which have not. In addition, it can be recorded whether the work was carried out properly. This means that trades carried out by one Specification list can be deleted and finally a report or a report is created that indicates which components are still to be installed and which components have been installed at a time. Each recording is given a time stamp and the information about who made the recording is given by the IP of the user when logging into the system.
  • an imaging unit which can be an optical sensor or, in general, a camera.
  • conventional cell phones typically have a camera with sufficient image resolution and thus no technical devices are required that the user does not already have with him.
  • the imaging unit does not necessarily have to work in the visible light range, but rather it is also possible to check a heat specification.
  • a thermal imaging camera can also be used as the imaging unit, which then shows whether the work has been carried out in accordance with the specifications.
  • the image of the room can thus also provide a temperature map that shows, for example, how a temperature distribution runs over a wall. It can thus be measured whether, for example, windows are installed properly or whether they have leaks at the joints, for example. A completion of an insulation according to the specification can also be determined.
  • the visual image is a set of image data that contains the physical or physical conditions in the visible light range Reflect the space. Consequently, conventional image processing or imaging methods can also be used and the space can then be checked on the basis of the specification obtained. In particular, it is advantageous here that the corresponding image data can be evaluated intuitively by a user and additional information can consequently also be displayed in the image data obtained.
  • the creation of the visual image takes place in such a way that a user, typically an employee, films desired parts of a room by means of the imaging unit and in particular films those subcomponents or actual components that are to be checked. If, for example, a plurality of radiators is installed along a wall, it is possible for a user to walk the wall with his smartphone and hold the camera at the radiator along the wall. The camera then takes a picture of the room and films the components in particular. The position of each component and the dimensions of each component are implicitly recorded. A comparison of the target specification is then used to determine whether the radiators or, in general, the components are correctly arranged or correctly selected.
  • radiators each 1 m long, have to be arranged at a distance of 1 m.
  • the user then films the relevant part of the room and walks through the five mounted radiators.
  • image processing methods it can then be determined whether the installed components are actually each 1 m long and whether they are spaced 1 m apart. However, if it is identified that four radiators have a length of 1 m and one radiator has a length of over 1 m, this can be done graphically are displayed in the filmed image and the user is given appropriate feedback at runtime.
  • the position can be measured and then a radiator which is not arranged according to the specification can be highlighted.
  • the incorrectly positioned radiator can be visually highlighted with a first frame and a second visual frame can indicate where the radiator should actually be positioned.
  • the radiator is to be understood as a component only as an example. A missing component or components that are severely damaged can also be displayed.
  • a target specification which describes the building components. This relates to both the physical and physical properties of the components. In this way, the component itself can be described and it can also be described where the component is attached.
  • a specification of the component describes, for example, a material, a quality, a dimension or the like. It is advantageous here that those properties of the components are specified which can also be evaluated using an optical method. So everything that can be read out optically can also be mapped in a corresponding specification and then checked. If both models are available, namely the actual model and the target model, they can be compared and deviations can then also be identified. For this purpose, image processing methods can again be used and deviations are documented. The deviation can be that the wrong component is installed or the component is not installed correctly or is missing.
  • a component can also be, for example, a wall painting and consequently it can be determined whether a certain texture or color is present. The deviation is then logged or displayed to the user.
  • the display can take place in such a way that the identified deviations are displayed visually in the created image. So it is possible for the user to film the room using his mobile phone and at the same time the display shows him an image of the room, which is enriched with further information, or user-specific relevant components such as the radiators at the heating engineer. This additional information can indicate the deviation. In this way it can be indicated that the wrong component is installed or it can be indicated that a component is incorrectly arranged.
  • the present invention typically does not relate to a single component, but to a large number of different components, so that an entire room can be evaluated on the basis of a single process. For example, the user positions his mobile phone in the middle of the room and rotates around his own axis in such a way that the entire room is filmed horizontally.
  • the visual image specifies physical and / or physical properties of the space. This has the advantage that both the component itself can be described which is arranged in the room, or an arrangement within the room can be displayed.
  • a physical property of a component is, for example, a certain material that can be read out optically. Another example of such a physical property is the dimension of a component.
  • a physical property is, for example, the spacing of the component from another component. For example, two radiators can be physically arranged at a distance of 2 m.
  • the virtual target model is stored on a central data memory. This has the advantage that a client can store a corresponding model and this can then be called up using an interface. It is not necessary for a user to always carry such a model with him on his technical device, but rather this can be called up spontaneously. Evaluations according to the invention are thus possible at any time.
  • the interface unit and the visualization unit are provided in one piece or as a client / server or as a client in one component.
  • This has the advantage that there is little technical effort, since all units can be present in one device and, in particular, a conventional mobile phone can be used.
  • the mobile phone is merely to adapt in terms of data technology and must be set up to carry out the proposed method or to provide the system arrangement.
  • the specification provides at least one indication of a dimension, a position, a texture, a number, a surface finish, a serial number, unique identifier - e.g. QR or barcode, a product name, a color, a physical and / or a physical property.
  • a dimension e.g. a dimension, a position, a texture, a number, a surface finish, a serial number, unique identifier - e.g. QR or barcode, a product name, a color, a physical and / or a physical property.
  • the target model describes information relating to a library that describes the building components graphically.
  • the target building components are identified on the basis of a visual representation of the actual components in the room.
  • This has the advantage that different images can be saved for each component, and the state of the component can also be described using the image.
  • a radiator can be specified on the basis of five images and consequently it can be identified which radiator it is and whether it is possibly damaged.
  • the actual components can be identified using pattern matching. This has the advantage that techniques that have already been implemented can be reused and, in particular, a tolerance range can be created which specifies when a stored image corresponds to a real-world component. As a result, the created image can be interpreted.
  • the target model has vector data. This has the advantage that an efficient data structure is selected and a point cloud is not used, as the prior art shows. As a result, there is, in turn, little technical effort.
  • tolerance ranges can be specified which describe when a deviation is present. This has the advantage that, for example, a faulty arrangement of only a few millimeters can be accepted and there is actually a deviation when such a tolerance range is exceeded. Components are typically installed manually and consequently not every actual deviation has to be interpreted as a faulty deviation in the sense of the proposed method.
  • the identified deviations can be prioritized. This has the advantage that it can be determined when a deviation is or is critical to safety but a deviation is only aesthetic. Consequently, a corresponding warning can be given to the user depending on the prioritization. If a statics requirement is violated, the user can be warned vehemently.
  • the identified deviations are logged in a report.
  • This has the advantage that a list of defects can be created automatically and, in particular, it can be specified which trades have not yet been properly implemented or have been hindered during assembly. Corresponding withholdings are displayed in the AVA program, defects or delay reports are automatically created.
  • the structural components are in the form of heating bodies, fittings, blinds, door leaves, window frames, window components, installations, operating elements and / or product components.
  • the components can be present as any components which are typically e.g. be arranged in a shell.
  • the components can also relate to the shell construction or expansion itself, so that, for example, a wall that meets the specifications can be checked. Wells and recesses can also be checked accordingly.
  • the object is also achieved by a method for automated and digital building status control, with creating a visual image of a real-world space having actual actual building components, providing a virtual target model having target building components which are described on the basis of a specification, identification of deviations of the target model from the actual model and a visual display of the identified deviations in the created image.
  • the object is also achieved by a computer program product with control commands which implement the proposed method or operate the proposed system arrangement.
  • the proposed method is set up to operate the system arrangement and the system arrangement is set up to carry out the method.
  • the method thus comprises method steps which can be functionally simulated by the structural properties of the system arrangement.
  • the system arrangement comprises structural features which correspond to the method steps with regard to their function.
  • Figure 1 a schematic flow diagram of the proposed
  • a digital construction status control / automated target / actual comparison according to one aspect of the present invention is proposed.
  • There is a digital 3D twin of the building e.g. as a 3D BIM model with idealized textures for the respective components.
  • the user e.g. Craftsman
  • the system knows which trade should now be examined, as well as which project it is.
  • the user can now enter their location in the corresponding floor plan, so the system knows which room or part of the building is to be examined with regard to the performance level, or the user switches the camera on via an app function and scans the by means of a 360-degree pan Space off.
  • the system now compares the images actually recorded with those of the digital twin and thus automatically determines the location of the user in the project. In contrast to competitors, no point clouds but a 3D model, e.g. from BIM objects, are compared with photos of the craftsman's location.
  • the user scans the room with the mobile phone using a 360-degree swivel.
  • the system compares the recordings with the components assigned to the user and carries out a target / actual comparison.
  • the performance levels are then compared both in terms of cost and time with the target specifications with regard to the actual conditions in the system and a daily construction report of the user's performance is automatically created.
  • the schedules are also adjusted automatically if necessary.
  • the system e.g. client-server system
  • automatically selects the views from its digital twin that make sense If, for example, the cable delays for the heating trade on the unfinished floor are completed, it switches to the services that follow from the construction process, which with regard to the target / actual Should be considered for comparison. Logical would then be, for example, the footfall sound insulation, then the underfloor heating and then the screed, etc. The raw ceiling is no longer examined, since without the raw ceiling the cable distortions for the heating trade would not be possible. The system is intelligent enough to recognize such logics.
  • the services of other users that have not yet been performed from the level of service are compared. Multiple monitoring by all users is possible and possible errors when scanning services by the respective users are minimized. The control process is stabilized.
  • a corresponding warning is issued by the system to the respective user and the institutions responsible for monitoring the performance levels, e.g. the construction management or project control are responsible.
  • deviations from dimensional tolerances can also be recognized by the system and a corresponding note can be reported to those responsible as to where these deviations were recognized, how large they are and whether there is an immediate need for action, these structural ones Correct performance if necessary.
  • the advantage of this approach is that deviations are recognized immediately by the system and corrective measures can be initiated as quickly as possible. This saves resources in terms of personnel, material and time.
  • This target / actual comparison can also be made using a surveillance camera system such as web cameras or drone cameras as a higher-level system. In this way, assembly times can be monitored in real time and deviations from the construction can be recognized at an early stage, as far as the camera perspective allows.
  • FIG. 1 shows a method for automated and digital building status control, with creating 100 a visual image of a real-world space having actual actual building components, providing 101 a virtual target model having target building components which are described on the basis of a specification , an identification 102 of deviations of the target model from the actual model and a visual display 103 of the identified deviations in the created image.
  • the system arrangement is designed analogously to the method.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
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Abstract

La présente invention concerne un système de contrôle automatisé et numérique de l'état de bâtiments, ainsi qu'un procédé correspondant. À l'aide du système proposé ou du procédé proposé, il est possible d'évaluer un processus de construction de manière entièrement automatique et de s'assurer que les corps de métiers ont été mis en œuvre conformément aux spécifications. La présente invention permet donc un contrôle approprié avec peu d'aides techniques. La présente invention concerne en outre un produit programme informatique avec des instructions de contrôle qui font fonctionner le système et mettent en œuvre le procédé.
PCT/EP2020/059676 2019-04-04 2020-04-03 Rapport numérique de l'état de bâtiments WO2020201559A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP20716791.7A EP3942435A1 (fr) 2019-04-04 2020-04-03 Rapport numérique de l'état de bâtiments

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019108807.0A DE102019108807A1 (de) 2019-04-04 2019-04-04 Digitaler Bautenstandsbericht
DE102019108807.0 2019-04-04

Publications (1)

Publication Number Publication Date
WO2020201559A1 true WO2020201559A1 (fr) 2020-10-08

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DE (1) DE102019108807A1 (fr)
WO (1) WO2020201559A1 (fr)

Cited By (1)

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Publication number Priority date Publication date Assignee Title
EP3828363A3 (fr) * 2019-11-27 2021-08-25 Peri Gmbh Aide aux travaux sur coffrages et échafaudages

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EP2418588A1 (fr) 2010-08-10 2012-02-15 Technische Universität München Procédé de localisation visuel
EP2711670A1 (fr) 2012-09-21 2014-03-26 Technische Universität München Localisation visuelle
DE102016116572A1 (de) 2016-09-05 2018-03-08 Navvis Gmbh Ausrichtung von Punktwolken zur Modellierung von Innenräumen
US20180082414A1 (en) * 2016-09-21 2018-03-22 Astralink Ltd. Methods Circuits Assemblies Devices Systems Platforms and Functionally Associated Machine Executable Code for Computer Vision Assisted Construction Site Inspection
DE102018204417A1 (de) 2017-03-29 2018-10-04 Robert Bosch Gmbh Verfahren und System zum Management und/oder zur Überwachung eines Projekts oder eines Prozesses

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EP2418588A1 (fr) 2010-08-10 2012-02-15 Technische Universität München Procédé de localisation visuel
EP2711670A1 (fr) 2012-09-21 2014-03-26 Technische Universität München Localisation visuelle
DE102016116572A1 (de) 2016-09-05 2018-03-08 Navvis Gmbh Ausrichtung von Punktwolken zur Modellierung von Innenräumen
US20180082414A1 (en) * 2016-09-21 2018-03-22 Astralink Ltd. Methods Circuits Assemblies Devices Systems Platforms and Functionally Associated Machine Executable Code for Computer Vision Assisted Construction Site Inspection
DE102018204417A1 (de) 2017-03-29 2018-10-04 Robert Bosch Gmbh Verfahren und System zum Management und/oder zur Überwachung eines Projekts oder eines Prozesses

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3828363A3 (fr) * 2019-11-27 2021-08-25 Peri Gmbh Aide aux travaux sur coffrages et échafaudages

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DE102019108807A1 (de) 2020-10-08

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