WO2019137814A1 - Procédé pour la surveillance de chantier - Google Patents

Procédé pour la surveillance de chantier Download PDF

Info

Publication number
WO2019137814A1
WO2019137814A1 PCT/EP2018/097042 EP2018097042W WO2019137814A1 WO 2019137814 A1 WO2019137814 A1 WO 2019137814A1 EP 2018097042 W EP2018097042 W EP 2018097042W WO 2019137814 A1 WO2019137814 A1 WO 2019137814A1
Authority
WO
WIPO (PCT)
Prior art keywords
construction
building
feature
data
detected
Prior art date
Application number
PCT/EP2018/097042
Other languages
German (de)
English (en)
Inventor
Darno Alexander KETTERER
Andrew Allen
Kai Liu
Kai Bohne
Udo Schulz
Achim Brenk
Heiko KLEINEDER
Jens Koenig
Elmar STAUDACHER
Original Assignee
Robert Bosch 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 Robert Bosch Gmbh filed Critical Robert Bosch Gmbh
Publication of WO2019137814A1 publication Critical patent/WO2019137814A1/fr

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06395—Quality analysis or management
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/08—Construction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/05—Geographic models
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes
    • G06V20/176—Urban or other man-made structures

Definitions

  • the invention relates to a method for monitoring at least one building object present on a construction site according to the preamble of claim 1.
  • the present invention also relates to a computer program, a machine-readable data carrier for storing the computer program and an electronic control unit, by means of which the method according to the invention can be carried out.
  • BIM Building Information Modeling
  • DE 10 2015 010 726 A1 discloses a method for monitoring the current state of a construction site having at least one working machine, in which by means of the work machine arranged on
  • Monitoring means the environment of the working machine is observed in real time.
  • corresponding observation data are generated, which by means of a computing unit for evaluating the current site condition are evaluated.
  • Suitable monitoring means are cameras or scanner devices arranged on a suitable work machine of the construction site.
  • the observation data comprise building trades, construction site objects, persons and work machines located in the vicinity of the machine, the current construction progress being determined or monitored on the basis of this data in accordance with existing, digitized construction site planning.
  • Observation data represent two- or three-dimensional pictorial representations of the machine environment.
  • the invention is based on the idea to capture by means of fixed or movably arranged sensors on a construction site structural parts of at least one building site present on site and to recognize by machine vision empirically definable features of the structural parts of the respective building object. On the basis of the features thus identified, the correctness of the construction measures carried out on the object, the quality of construction, the construction process and / or the construction progress can be compared with correspondingly available plans.
  • the proposed method can additionally or supportively also be used for the detection of working on the structural parts machinery or construction equipment. As a result, it is additionally possible to provide a logical and, in particular, computer-based plausibility check of a recognized construction measure.
  • the proposed method for monitoring the construction site or at least one building object provides, in particular, that the at least one building object is captured by means of a sensor that evaluates the captured image of the building object by means of machine vision on the basis of at least one predefinable constructional feature of the building object and that the results in the evaluation,
  • the BIM may also provide that on the basis of the resulting, object-related Data a change of the building planning or object planning or the construction process or an intervention in the construction process or the construction or
  • Processing of the building object is made.
  • the advantage of the proposed method lies in a continuous and, compared to the state of the art, automated or automatable, machine-based and still considerably more comprehensive construction control.
  • the thus made possible visualization of the exact construction process and / or the automatic warning or instructions to the staff and / or the automatic intervention and correction options in the construction process is thus ultimately a significant improvement in construction quality and a significant reduction in construction times and construction costs.
  • At least one image is detected or generated by means of a preferably imaging sensor, that a specifiable constructive feature of the construction object is evaluated from the acquired or generated image and that, in the evaluation, resulting, object-related data are compared with data or values of the corresponding feature determined in advance in the preliminary field, and with a recognized deviation of the compared characteristics by one empirically definable threshold value, a change in the building design or the construction process or an intervention in the construction process is made.
  • Such an intervention in the construction process may be that information or warnings to appropriate persons, such as site supervisor, passed.
  • one or more operating variables of a construction machine or a construction vehicle can be changed or changed to the respective one
  • Radar antenna and / or a laser beam into consideration are particularly useful in the field of automotive engineering for detecting objects, e.g. from people, for various assistance functions to automated driving become known.
  • Object detection are used, e.g. Appearance-based methods that capture the characteristic of an object type (e.g., a person) based on a training data set preferably formed of image data.
  • a training data set contains different characteristics of a single object type and expresses the possible, different expressions of a single object.
  • offline as it were, generates characteristic features from corresponding training images.
  • a collection of such features is then summarized into an overall description of the object type, a so-called feature vector.
  • classifier To be able to uniquely assign the feature vector to an object type, a so-called "classifier” must be trained. A collection of such
  • Feature vectors can then be used to describe the appearance of an object in a predeterminable image plane.
  • the mentioned feature vectors or feature numbers of the classifier describing the respective object can be converted into interlaced and automatically generated weights into a number which indicates the probability for the object to be classified in a current search window.
  • the prior art In the present case, not all object examples must be trained, whereby a correspondingly rigid structure of the preprocessing or object recognition on the basis of fixed filter masks and weights is avoided.
  • a number of image examples can be used, which represent different characteristics of the respective object. This allows machine learning of characteristic, image-based properties of a given object.
  • negative pictorial counter-representations of the respective object can also be taken as an exclusion criterion, so to speak, in order to further increase the recognition quality.
  • the computer program according to the invention is set up to carry out each step of the method, in particular if it runs on a computing device or a control device. It allows the implementation of the
  • the machine-readable data carrier is provided on which the computer program according to the invention is stored.
  • electronic control unit which is set up to monitor a construction site and / or to control a work machine present at the construction site.
  • the likewise proposed electronic control unit which cooperates with a named sensor system comprises in particular a recognizer which recognizes at least one feature of a structural part of the building object from the image data provided by the sensor system.
  • Construction vehicle works together. By means of the agent, a change in the building planning or the construction process or an intervention in the construction sequence may be made. Further advantages and embodiments of the invention will become apparent from the description and the accompanying drawings.
  • Fig. 1 shows an embodiment of the method according to the invention
  • Fig. 2 shows an application of the method according to the invention
  • the stationary sensors may be camera systems or the like, which in a conventional manner to buildings,
  • Non-stationary sensors can be those which are mounted on or on mobile objects such as vehicles, machines, drones, etc., and / or are carried or operated by persons.
  • a building object individually taken into the monitoring in the present embodiment is imaged 105 by means of imaging sensors mentioned or described below. From the image data acquired in this way is determined by means of the known method of the Computer-aided or machine vision, at least one empirically predeterminable feature of a constructive part of the building 110 recognized.
  • One possible embodiment of a building is a building construction in which finished building elements, e.g.
  • Precast reinforced concrete parts or steel construction site which by a construction machine or by a crane from a storage place or transport vehicle to the
  • Installation point are positioned to be detected by sensors.
  • the crane or arranged near the installation imaging sensors can recognize the precast concrete element.
  • the prefabricated reinforced concrete elements usually have structural features, e.g. specific
  • the feature or the corresponding features of the building object were determined 115 by means of a model calculation.
  • the aforementioned 3D data including the specific features are mostly found in a BIM database or a collaboration platform, e.g. a "cloud", available.
  • 120 Due to the three-dimensional or spatial sensory detection of the building object, 120 corresponding perspectives have to be considered in this comparison and the digitized building object or the corresponding features of the building object possibly simulate digitally.
  • the comparison 120 results in a deviation between these comparison data, the deviation preferably within an empirically predeterminable one
  • Threshold value then return to the beginning of the routine, e.g. before step 105, jumped back. However, if the comparison 120 shows that the deviation is outside the specified threshold value, then a change 125 of the present building design or of the
  • Construction process or an intervention in the construction process which may consist in that one or more operating variables of a construction machine or a construction vehicle is / are changed in order to adapt the respectively affected construction measure to the possibly changed construction state of the monitored construction object.
  • the change 125 may correspond to a message or warning from the responsible personnel, such as a site manager.
  • the sensory detection of the image data of the building object to be monitored can take place in a manner known per se by means of optical sensors.
  • Machine image processing can use the image data obtained thereby object features such. Edges, corners, surfaces etc. are extracted. With the mentioned object features of the building object, it can be e.g. one
  • Electrical installation box in a BIM database mentioned as a separate, three-dimensional object is deposited. With this, further objects can be detected within a recognized object. In addition, the spatial extent of an object can be calculated more accurately. In addition, not only can we classify coarse geometric objects, e.g. Bricks, wall elements, pipes or stair elements, but also individual objects such as a named electrical installation box.
  • coarse geometric objects e.g. Bricks, wall elements, pipes or stair elements
  • the results of the feature recognition of the respective building object can also be stored in a construction progress documentation of the BIM (Building Information Modeling) system. This is particularly advantageous for such building objects, which are no longer visible from the outside after their construction or processing.
  • An essential advantage of the described method is thus the enabling of an automated and precisely documented billing of building activities, e.g. towards a client.
  • Building object e.g. Construction drawings, construction process, construction stages and a construction schedule in terms of the BIM system.
  • both the degree of completion of the respective construction project can be determined. Also can Based on a detected target-actual deviation in advance, ie predicated recognizing whether the schedule of the construction process can be met.
  • the results of the target-actual comparison of the construction progress can also be visualized by means of methods of virtual reality known per se, for example in a stereoscopic 3D display system according to the prior art.
  • Construction participants e.g. with regard to the materials to be used.
  • the materials to be used in a subsequent operation as well as corresponding parts of the construction plan may be immediately passed to the site manager or operator of a construction vehicle or construction machine, e.g. by means of visual augmented reality on a display, together with a real video or image recording of the building object as well as synthetically inserted construction objects.
  • the site manager or operator of a construction vehicle or construction machine e.g. by means of visual augmented reality on a display, together with a real video or image recording of the building object as well as synthetically inserted construction objects.
  • the method described can be realized in the form of a control program for an electronic control unit for controlling a building measure or the sensor system mentioned here. Such, for carrying out the method described above electronic control unit is shown schematically in Fig. 2.
  • the control device shown in FIG. 2 can also be connected to a data interface to the database of a BIM system, a database of a project management, an enterprise resource planning (ERP) system and / or further
  • the data interface may also provide a cellular connection to facilitate data exchange between the controller and said databases, e.g. the cloud.
  • the aforementioned sensors for image acquisition may be communication-based or data-technically networked, stationary and non-stationary environmental sensors which are present on the construction site and which preferably supply a digital 3D image of the construction object to be monitored.
  • stationary sensors come those in consideration, which are installed on buildings, on light poles or fixed base stations stationary. In this case, the sensors can be designed to be pivotable and focusable.
  • Non-stationary sensors are those which are arranged on movable objects, such as vehicles, machines, people, drones, etc. From the of
  • Fields of view assembled and merged with respect to the image information, so that a total of a digital 3D image of an entire building object or possibly multiple building objects is present.
  • predefinable features of the respective building object are extracted from the sensory image information obtained, such as, for example, Edges, Corners, Surfaces, etc.
  • the building objects can be classified, e.g. as walls, windows, doors, pipes, pipes, breakthroughs, etc.
  • textures or the surface texture, the colors and possibly captions of the building objects can be recognized, whereby the object classification can be made even more precise or possibly even more object Attributes.
  • the features and objects extracted by means of the algorithms mentioned can additionally be provided with a global position. This makes it possible to check whether the building objects are being erected globally in the right position. Additional sensors, e.g. for detecting the spatial position of an object, or additional feature transmitters, e.g. Passive or active RFID identifiers allow an additional plausibility check and specification of the respective building object.
  • the described image processing results in a georeferenced 3D overall object model, eg a building, including the recognized, georeferenced building objects, such as foundation plates, walls in the various floors, windows, stairs, etc.
  • a georeferenced 3D overall object model eg a building
  • the recognized, georeferenced building objects such as foundation plates, walls in the various floors, windows, stairs, etc.
  • the building objects may additionally be provided with a time stamp with regard to their first recognition in the 3D overall object model.
  • a time stamp with regard to their first recognition in the 3D overall object model.
  • individual images or video sequences with a e.g. provided by a Goe medicalisationssystem time stamp are stored in a database.
  • the degree of completion of the respective building object can be recorded as a function of time. According to the present construction schedule, at a certain geo-referenced location, e.g.
  • the object recognition can be done by means of stationary sensors and camera (s).
  • Object recognition also identifies (classifies) people, machines, tools and other work equipment. This makes it possible to detect whether and, if so, how many persons, which machines, etc., are georeferenced on which part of the overall object. It can also be seen whether these tools are in motion or active. In addition, it can be recognized in good time whether the machines, tools, persons, etc. required for the next construction steps or for the next work step are already on-site or have been ordered in due time to the place of work. The information thus determined may then be in the 3D object model
  • Construction section and construction process necessary machinery, tools, persons, etc. are also available in digitized form.
  • the characteristic of an object type for example a person or a construction vehicle, can be based on a training data record generated in advance. This data record contains different characteristics of a single object type and expresses the different characteristics of a single object.
  • a desired object type e.g. a tool, a vehicle or a pedestrian
  • image examples are required for the respective object type, representing different manifestations of the object, preferably in all environmental conditions occurring.
  • Properties of a desired object can be determined, in addition a plurality of counterexamples of non-possible expressions can be based.
  • a plurality of nested and automatically generated weights converted into a number indicating the probability of the object to be classified in a current search window. This becomes the requirement of a
  • the corresponding data is created as a parametric building model, using a CAD system and suitable planning tools from an existing BIM software, so that it can be used with fused and classified information of said sensors in a said 3D object model are comparable and thus a said target-actual comparison can be performed.
  • Construction process is complied with.
  • the results of the target-actual comparison of the construction progress can also be visualized in a manner known per se by means of virtual reality methods, so that the processor can better oversee the entire construction project.
  • the free spaces available for the movement of vehicles, machines and persons from the 3D (total) object model depending on the progress of the construction can be made available to them, and e.g. serve as spatial automatic limits for tool and machine movements.
  • Measuring accuracy in the measurements mentioned geolocalized measured reference points can be used.
  • the resulting dimensions can then be compared with corresponding nominal dimensions from the respective blueprints and with a detected deviation outside an empirically predeterminable threshold value or a corresponding permissible tolerance, e.g. visualized by means of "augmented reality".
  • augmented reality e.g. those parts of the building object with impermissible tolerances, e.g. highlighted in color and / or by flashing etc.
  • a recognizer 210 at least one feature of a constructive part of the building object is recognized from the image data captured by the sensor system 205.
  • a model calculator 215 is the corresponding characteristic of the building object determined in advance.
  • a comparator 220 the sensorially recognized data and the previously calculated data are compared with one another. The result of the comparison is supplied to an agent 225 which cooperates with a said BIM system or with a construction machine or a construction vehicle 230.
  • Agent 225 is made if necessary, a change in the building design or the construction process or an intervention in the construction process.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Educational Administration (AREA)
  • Software Systems (AREA)
  • Geometry (AREA)
  • Tourism & Hospitality (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • General Health & Medical Sciences (AREA)
  • Quality & Reliability (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Health & Medical Sciences (AREA)
  • Remote Sensing (AREA)
  • Game Theory and Decision Science (AREA)
  • Operations Research (AREA)
  • Computer Graphics (AREA)
  • Multimedia (AREA)
  • Primary Health Care (AREA)

Abstract

La présente invention concerne un procédé pour la surveillance d'au moins un objet de construction situé dans un chantier lors de la réalisation d'une mesure de construction sur l'au moins un objet de construction, l'au moins un objet de construction selon l'invention étant enregistré visuellement (105) au moyen d'un capteur d'imagerie (205), au moins une caractéristique d'un élément constructif de l'objet de construction étant reconnue (110) à partir des données d'image (105) enregistrées, et sur la base de la détection (110) de l'au moins une caractéristique de la partie constructive de l'objet de construction, une modification d'une conception de bâtiment ou une intervention dans le processus de construction de la mesure de construction est effectuée (120). L'au moins une caractéristique ainsi détectée est utilisée de préférence dans une modélisation des données de bâtiment (BIM).
PCT/EP2018/097042 2018-01-09 2018-12-27 Procédé pour la surveillance de chantier WO2019137814A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102018200221.5 2018-01-09
DE102018200221.5A DE102018200221A1 (de) 2018-01-09 2018-01-09 Verfahren zur Baustellenüberwachung

Publications (1)

Publication Number Publication Date
WO2019137814A1 true WO2019137814A1 (fr) 2019-07-18

Family

ID=65009737

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2018/097042 WO2019137814A1 (fr) 2018-01-09 2018-12-27 Procédé pour la surveillance de chantier

Country Status (2)

Country Link
DE (1) DE102018200221A1 (fr)
WO (1) WO2019137814A1 (fr)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110737936A (zh) * 2019-09-23 2020-01-31 江西毕姆工程技术有限公司 一种基于bim技术的全过程项目管理平台
CN110864661A (zh) * 2019-11-11 2020-03-06 国网江苏省电力工程咨询有限公司 一种基于bim脚手架的安全监测方法和系统
CN111428299A (zh) * 2020-03-25 2020-07-17 河南华北水电工程监理有限公司 一种工程全程监控系统
CN111563680A (zh) * 2020-05-06 2020-08-21 北方工业大学 基于bim的装配式建筑施工安全防护方法、装置、电子设备
CN111910608A (zh) * 2020-07-24 2020-11-10 中交第三航务工程局有限公司 一种基于bim技术的地基沉降的可视化监测装置
CN112365160A (zh) * 2020-11-11 2021-02-12 深圳市欧瑞博科技股份有限公司 智能施工的辅助方法、装置、智能辅助设备及存储介质
CN115857474A (zh) * 2022-12-23 2023-03-28 青岛市工程建设监理有限责任公司 一种基于项目进度辅助机器人的监理监测方法
CN116630974A (zh) * 2023-05-17 2023-08-22 广东智云城建科技有限公司 一种建筑图像数据的快速标记处理方法及系统
EP4270326A1 (fr) 2022-04-29 2023-11-01 Umdasch Group NewCon GmbH Système et procédé de détection destinés à la détection d'une partie de bâtiment sur un chantier

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110502820B (zh) * 2019-08-14 2023-04-07 比姆泰客信息科技(上海)有限公司 一种基于bim的钢结构工程实时监测预警方法
DE102020209308A1 (de) * 2020-07-23 2022-01-27 Steffen Söll Verfahren zur Durchführung eines Bauprozesses bei der Errichtung eines Bauwerks mit Einsatz mindestens eines Bauroboters
DE102021203602A1 (de) 2021-04-13 2022-10-13 Zf Friedrichshafen Ag Verfahren und Steuereinrichtung zum Betreiben einer Baumaschine
CN113111827A (zh) * 2021-04-22 2021-07-13 北京房江湖科技有限公司 施工监控方法、装置、电子设备和存储介质
DE102021112046A1 (de) 2021-05-07 2022-11-10 Kewazo Gmbh Verfahren zur Analyse eines Bauprojekts, Aufzeichnungsbaugruppe, Baustellengerät sowie Aufzeichnungssystem
CN114189932B (zh) * 2021-11-15 2024-01-16 国能大渡河猴子岩发电有限公司 无gps信号施工实时监控管理系统
DE102022211958A1 (de) 2022-11-11 2024-05-16 Robert Bosch Gesellschaft mit beschränkter Haftung Verfahren zum Trainieren eines Klassifikators und Vorrichtung
CN117093822B (zh) * 2023-10-19 2024-01-12 西安艾派信息技术有限公司 基于产业知识图谱的产业大脑数据分析平台

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130096873A1 (en) * 2011-10-17 2013-04-18 Kla-Tencor Corporation Acquisition of Information for a Construction Site
DE102015010726A1 (de) 2015-08-17 2017-02-23 Liebherr-Werk Biberach Gmbh Verfahren zur Baustellenüberwachung, Arbeitsmaschine und System zur Baustellenüberwachung

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9070216B2 (en) * 2011-12-14 2015-06-30 The Board Of Trustees Of The University Of Illinois Four-dimensional augmented reality models for interactive visualization and automated construction progress monitoring

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130096873A1 (en) * 2011-10-17 2013-04-18 Kla-Tencor Corporation Acquisition of Information for a Construction Site
DE102015010726A1 (de) 2015-08-17 2017-02-23 Liebherr-Werk Biberach Gmbh Verfahren zur Baustellenüberwachung, Arbeitsmaschine und System zur Baustellenüberwachung

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110737936A (zh) * 2019-09-23 2020-01-31 江西毕姆工程技术有限公司 一种基于bim技术的全过程项目管理平台
CN110864661A (zh) * 2019-11-11 2020-03-06 国网江苏省电力工程咨询有限公司 一种基于bim脚手架的安全监测方法和系统
CN110864661B (zh) * 2019-11-11 2021-12-07 国网江苏省电力工程咨询有限公司 一种基于bim脚手架的安全监测方法和系统
CN111428299A (zh) * 2020-03-25 2020-07-17 河南华北水电工程监理有限公司 一种工程全程监控系统
CN111563680A (zh) * 2020-05-06 2020-08-21 北方工业大学 基于bim的装配式建筑施工安全防护方法、装置、电子设备
CN111910608A (zh) * 2020-07-24 2020-11-10 中交第三航务工程局有限公司 一种基于bim技术的地基沉降的可视化监测装置
CN112365160A (zh) * 2020-11-11 2021-02-12 深圳市欧瑞博科技股份有限公司 智能施工的辅助方法、装置、智能辅助设备及存储介质
EP4270326A1 (fr) 2022-04-29 2023-11-01 Umdasch Group NewCon GmbH Système et procédé de détection destinés à la détection d'une partie de bâtiment sur un chantier
WO2023209145A1 (fr) 2022-04-29 2023-11-02 Umdasch Group Newcon Gmbh Procédé et système de détection pour détecter une partie de bâtiment sur un site de construction
CN115857474A (zh) * 2022-12-23 2023-03-28 青岛市工程建设监理有限责任公司 一种基于项目进度辅助机器人的监理监测方法
CN116630974A (zh) * 2023-05-17 2023-08-22 广东智云城建科技有限公司 一种建筑图像数据的快速标记处理方法及系统
CN116630974B (zh) * 2023-05-17 2024-02-02 广东智云城建科技有限公司 一种建筑图像数据的快速标记处理方法及系统

Also Published As

Publication number Publication date
DE102018200221A1 (de) 2019-07-11

Similar Documents

Publication Publication Date Title
WO2019137814A1 (fr) Procédé pour la surveillance de chantier
DE102010006828B4 (de) Verfahren zur automatischen Erstellung eines Modells der Umgebung eines Fahrzeugs sowie Fahrerassistenzsystem und Fahrzeug
EP3491417B1 (fr) Procédé et système de détection de points de repère dans un environnement de circulation d'une unité mobile
EP3337751A1 (fr) Procédé de surveillance d'un chantier, engin de travail et système de surveillance d'un chantier
DE102007032698B3 (de) Verfahren zur Ermittlung eines Anzeigebildes
EP3824247A1 (fr) Procédé et système destiné à déterminer une position d'un véhicule
DE102010018634B4 (de) Verfahren zur Eingabe eines räumlichen Aufbaus von Fertigungseinrichtungen in ein rechnergestütztes Planungsprogramm und dessen Optimierung
WO2019072674A1 (fr) Procédé et dispositif de génération d'un modèle de capteur inverse et procédé de détection d'obstacles
WO2013029722A2 (fr) Procédé de représentation de l'environnement
Barki et al. BIM models generation from 2D CAD drawings and 3D scans: an analysis of challenges and opportunities for AEC practitioners
DE102018123393A1 (de) Erkennung von Parkflächen
EP4137981A1 (fr) Génération d'un modèle d'informations de bâtiment
WO2020225203A1 (fr) Procédé servant à détecter des données d'ascenseur et servant à générer un jumeau numérique d'un système d'ascenseur existant
DE102014210752A1 (de) Verfahren und Vorrichtung zum Überwachen einer Solltrajektorie eines Fahrzeugs
DE10151983A1 (de) Verfahren zur Dokumentation einer Unfallsituation
EP3651032A1 (fr) Procédé et dispositif de fourniture d'un modèle de bâtiment numérique mis à jour
DE102018213007A1 (de) Verfahren zum Erstellen einer Parkhauskarte für Valet-Parking
WO2019137815A1 (fr) Procédé de gestion et de détection de matériau de construction, notamment lors de l'édification de bâtiments
DE102020213294A1 (de) Verfahren zur Überwachung eines Baustellenbereichs, Überwachungssystem, Computerprogramm und Speichermedium
WO2023209145A1 (fr) Procédé et système de détection pour détecter une partie de bâtiment sur un site de construction
DE102019208448A1 (de) Verfahren zur Überprüfung eines Geräts oder einer Maschine
EP3704631A2 (fr) Procédé de calcul d'un éloignement entre un véhicule automobile et un objet
WO2020201559A1 (fr) Rapport numérique de l'état de bâtiments
DE102006014546B4 (de) Verfahren und Vorrichtung zum sensorbasierten Überwachen einer Umgebung
DE102019208008A1 (de) Verfahren und Vorrichtung zum sicheren Zuordnen identifizierter Objekte in Videobildern

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18830859

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18830859

Country of ref document: EP

Kind code of ref document: A1