[go: up one dir, main page]

WO2025176268A1 - Procédé de gestion d'un site industriel et système associé - Google Patents

Procédé de gestion d'un site industriel et système associé

Info

Publication number
WO2025176268A1
WO2025176268A1 PCT/DK2024/050031 DK2024050031W WO2025176268A1 WO 2025176268 A1 WO2025176268 A1 WO 2025176268A1 DK 2024050031 W DK2024050031 W DK 2024050031W WO 2025176268 A1 WO2025176268 A1 WO 2025176268A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
processing apparatus
data processing
image data
computer unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/DK2024/050031
Other languages
English (en)
Inventor
Kasper Koops Kratmann
Mathias KAASTRUP-OLSEN
Hans LAUERBERG
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Claviate Aps
Original Assignee
Claviate Aps
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 Claviate Aps filed Critical Claviate Aps
Priority to PCT/DK2024/050031 priority Critical patent/WO2025176268A1/fr
Priority to PCT/DK2025/050027 priority patent/WO2025176271A1/fr
Publication of WO2025176268A1 publication Critical patent/WO2025176268A1/fr
Priority to DKPA202530633A priority patent/DK202530633A1/en
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/10—Terrestrial scenes

Definitions

  • the present invention also comprises a system configured to perform the method steps mentioned above.
  • the present invention further comprises a computer program configured to execute the method steps mentioned above and a computer-readable medium configured to store the computer program.
  • objects of interest may be tracked automatically by processing the captured image data using object detection algorithms or machine learning algorithms implemented in a remote server or local data processing unit.
  • object detection algorithms or machine learning algorithms implemented in a remote server or local data processing unit.
  • Such algorithms can be trained and evaluated via various available programming platforms provided by software providers using either open-source datasets or custom datasets.
  • WO 2021/110226 Al discloses a method and system for monitoring an industrial site, comprising a plurality of cameras connected to a data processing apparatus.
  • the raw image data is processed in data processing apparatus by an object detection algorithm, where the detected object is anonymised in the image data and the altered image data is stored in a database for later inspection.
  • This solution focuses on anonymising image data so it may be stored for later analysis.
  • US 11321944 B2 discloses a system for monitoring repeating actions in an overall process, where a neural network and long-short term memory are trained to detect actions in video data.
  • the neural network is trained to detect the start, the end, and other details of each action based on the image frames, and to generate statistical data based on the details of the actions. This solution is designed specifically for monitoring assembly lines in a factory.
  • Another object of the present invention is to provide a method and system that allows for managing events of an industrial process at an industrial site.
  • Another object of the present invention is to provide a method and system that allows for contractual terms and claim statements of the industrial process to be verified.
  • One object of the present invention is achieved by a method of managing an industrial site according to claim 1, comprising the steps of:
  • the data processing apparatus comprising a computer unit
  • the term “industrial process” is defined as an overall process being performed at the industrial site, wherein the industrial process is composed of a plurality of interrelated operations (or actions) which may be performed in parallel or in a sequential order. Further, a plurality of operational states (or tasks) is performed during each operation.
  • the term “industrial site” should in this case be understood as a site for the production, assembly, installation or handling of units or large structures, or components thereof.
  • the present system and method are particularly suited for, but not limited to, use in the energy sector, such as wind energy, the shipping (freight transport) industry, or the construction industry.
  • the present system and method are also suited for use in factories comprising one or more production lines.
  • the present method uses a set of cameras to monitor the entire industrial site, or subareas of particular interest.
  • the placement of the cameras is adapted to the dynamic or static mapping of the site and can easily be changed in accordance with changes to the site mapping. This allows a user of the present system to visually monitor the industrial site, or sub-areas thereof, during the entire industrial process.
  • the captured image data e.g., videos or still pictures, are inputted to a data processing apparatus for data storage and data analysis and evaluation.
  • the image data may be stored in a shared database, or in a dedicated database. This allows the user to access and evaluate image data of the industrial site during the verification process.
  • the present invention allows for a simple and easy installation of the present system, wherein the data processing apparatus is adapted to the changing layup of the industrial site.
  • the user uses at least the stored image data to determine any deviations between the contractual requirements and recorded events of the industrial process. This allows for an easier and more accurate verification of the claim requirements compared to conventional methods.
  • At least the image data is synchronised with a selected timestamp signal, wherein said timestamp signal is used to determine at least one event, such as events of the industrial process, in the image data.
  • the image data inputted from each camera may be synchronized with a reference signal, such as a timestamp signal.
  • the timestamp signal may be an internal clock of the data processing apparatus.
  • the timestamp signal may also be a timestamp signal embedded in the image data from one of the cameras or a timestamp signal embedded in position data transmitted from a positioning system.
  • the timestamp signal may be a timestamp signal selected by the user.
  • the timestamp signal may be globally recognised time standard.
  • the reference signal may be specified in the contract established between the parties of the industrial process. This allows for the various data to be synchronized to a reference signal agreed to by the contracting parties.
  • the synchronization may be performed during installation or operation of the present system.
  • the synchronization may also be performed during data processing in the computer unit.
  • the data processing apparatus may instead automatically determine the position of one or more objects within the industrial site.
  • the data processing apparatus may further track the motion of these objects throughout the industrial site.
  • a coordinate system of the industrial site may be stored in the data processing apparatus for determining the (global or local) position of objects within the coordinate system.
  • the position of an object may be determined based on the image data using a localization algorithm implemented in the computer unit. For example, the geographical position of one or more cameras in combination with computer vision-based triangulation may be used to determine the geographical positions of the objects.
  • the computer unit may then use a tracking algorithm to predict and track the positions of the objects within the image data.
  • An example of a geo-localization algorithm is disclosed in the article “Object Tracking and Geo-Localization from Street Images” by Wilson, Daniel et al.
  • a positioning system may communicate with the data processing apparatus for determining the position of one or more objects.
  • the positioning system may transmit position data directly to the data processing apparatus.
  • the position data may be transmitted to a local receiving unit on the object, and then transmitted further from the object to the data processing apparatus. This allows objects to be tracked even if no or limited image data is available.
  • the method further comprises the step of
  • the manually or automatically added timestamps may also be used to identify the image segment of a particular event in the stored image data.
  • a copy of the image segment may be stored together with the structured dataset.
  • the verification of the at least one contractual requirement or at least one claim statement is performed manually based on the at least one events, wherein an output of the verification process is generated based on at least the individual contractual requirements or claim statements.
  • the administrator, or the data analyst, of the present system may manually verify the contractual requirements based on the detected events stored in the data processing apparatus.
  • the events may be determined manually or automatically by the computer unit, as mentioned earlier.
  • the administrator, or the data analyst, of the present system may manually verify one or more claim statements from a user based on the detected events stored in the data processing apparatus.
  • the administrator or data analyst may use the structured dataset and the timestamps and optional comments of the detected events to verify the individual claim statements.
  • the verification output may then be updated, or a new verification output may be generated, based these claim statements.
  • the present system may also automatically verify the contractual requirements in the computer unit using computer algorithms, custom logics, or a combination thereof.
  • the contractual requirements may be inputted into the data processing apparatus and stored in the database, or in a dedicated database.
  • the contractual requirements may be inputted as quantifiable measures so that the computer unit is able to determine if the measures have been met. This allows for an automatic verification of the contractual requirements compared to conventional methods.
  • the computer unit may simply compare the timestamps and/or number of detected events with the individual contractual requirements to determine any deviations.
  • the computer unit may also compare one or more of the various signals in the structured dataset with the individual contractual requirements to determine any deviations.
  • a verification signal and an optional dedicated output may be generated by the computer unit for each contractual requirement. This allows for a fast and accurate verification which reduces the amount of manual labour compared to conventional methods.
  • the computer may simply generate a verification output indicating that all contractual requirements are met. If one or more deviations are determined, then the computer unit may generate a dedicated output for each deviation of a contractual requirement, as mentioned later.
  • the operational states of an operation may also be determined based on the radio communications between two or more radio communications devices and/or audio signals pick up at the industrial site.
  • the raw radio communications may be picked up by a radio scanner unit or dedicated radio unit and transmitted to the data processing apparatus and stored in the database for data analysis.
  • One or more microphones may pick up audio signals from the industrial site, wherein the audio signals may include voice communications between workers, various machine sounds, audio alarms, announcements over speakers, weather related sounds, and the like.
  • the raw audio signals may be stored in the database for data analysis.
  • the administrator or data analysis may replay the radio communications or audio signals, alone or in combination with other data, when manually determining the events. This also allows users to review the radio communications or audio signals when settling a contractual requirement or claim statement.
  • One or more speed recognition algorithms implemented in the computer unit may detect unique voice commands in the radio communications and/or audio signals.
  • the unique voice commands may be representative of the start, stop, resumption, and/or end of the operational states.
  • a spectral analysis and discrete transformation of the voice signals may be used to extract the unique voice commands.
  • Classifications for voice commands or parameters thereof may be set up by the user or administrator of the present system and stored in the computer unit.
  • the speed recognition algorithms may be trained to detect the voice commands in one or more languages. This allows unique voice commands spoken by workers during various operations to be stored in the computer unit. This allows the computer unit to automatically determine the operational states based on the radio communications.
  • One or more audio feature extraction algorithms implemented in the computer unit may detect unique audio signals in the radio communications and/or audio signals.
  • the unique audio signals may be warnings, alarms, machine, or tool related sounds and/or environmental sounds. Noise reduction, filtering, and spectral analysis of the audio signals may be used to extract the unique audio signals. Classifications for unique audio signals or parameters thereof may be set up by the user or administrator of the present system and stored in the computer unit.
  • the audio feature extraction algorithms may be trained to detect unique audio signals such as warning alarms, start or stop of engines or winches, operation of tools, or other characteristic operational sounds. This allows the computer unit to automatically detect unique audio signals associated with or affecting the performance of operations.
  • a transcription (speech-to-text) algorithm may be implemented in the computer unit, wherein the transcription algorithm may perform an automatic transcription of the radio communications.
  • the transcription may then be stored in the database for later analysis. This allows users to review the verbal communication between workers when settling a contractual requirement or claim statement.
  • the other data comprises telemetry data from one or more telemetry devices located within the industrial site, which is transmitted to the data processing apparatus.
  • the operational states may also be determined based on telemetry data from one or more telemetry devices.
  • the telemetry data may be transmitted to the data processing apparatus and stored in the database for data analysis.
  • the telemetry data may be representative of the operating conditions or performance of machines or tools, health conditions of workers, environmental conditions, or the like.
  • the telemetry data may also comprise accelerations from accelerometers, movements from gyroscopes, or compass headings from magnetometers.
  • the position data may form part of the telemetry data.
  • the telemetry data may be standard telemetry data.
  • the administrator or data analysis may analyse the telemetry data, alone or in combination with other data, when manually determining the events.
  • standard telemetry data should be understood as telemetry data that is presented in accordance with an open or globally recognised standard, such as ISO 15143-3. This allows for easy access to third-party data provided by multiple OEMs.
  • the other data comprises meteorological data from a meteorological unit or system, which is transmitted to the data processing apparatus.
  • the meteorological data from one or more meteorological units or systems may be transmitted to the data processing apparatus and stored in the database.
  • the meteorological data is representative of the environmental conditions relating to the industrial site.
  • the meteorological data may comprise wind speed, temperature, lightning, humidity, precipitation, visibility, cloud cover, air pressure, wave height, wavelength, wave dwell, wave direction, or other relevant weather, wind data, or wave data.
  • the administrator or data analysis may review these environmental conditions, alone or in combination with other data, when manually determining the events.
  • the meteorological data may be actual historical weather data or weather forecasts hereof, as planning decisions often are made based on the forecast.
  • Actual historical weather data can be used to determine e.g., abort scenarios where actual weather conditions exceeded safe working conditions despite the weather forecast predicting safe weather conditions.
  • One or more feature extraction algorithms implemented in the computer unit may extract one or more unique environmental features from the meteorological data.
  • Reference parameters or thresholds may be set up by the user or administrator of the present system and stored in the computer unit.
  • the selected meteorological signal may be compared to the reference parameters or thresholds in the computer unit, which may determine if the meteorological signals is within safe operating conditions.
  • the image data or other data may be combined with the meteorological data to confirm that the actual environmental conditions were within safe working conditions during the events.
  • a training dataset may be used to train the algorithms implemented in the computer unit using machine learning to automatically detect and identify various events.
  • the training dataset may be historic data from a previous industrial site or previous data from the industrial site.
  • the training dataset may comprise the events, the image data, the inputted data, or any combination thereof.
  • the administrator may evaluate the output of the computer unit after each training run and correct any errors and/or missed objects or events in the output. Once the evaluation is completed, a subsequent training run may be performed. The training section may be repeated until an acceptable level of performance is achieved.
  • the training dataset may be updated upon request, at regular intervals, or after each training run. New objects and/or events may be added to the classifications, and/or the parameters for existing objects or events may be adjusted.
  • the computer unit may thus be trained to detect objects and/or events unique for a particular industrial site, as the size and complexity of each industrial site may vary during the overall industrial process.
  • the method further comprises the steps of:
  • One or more claim statements may further be inputted into the data processing apparatus by the user or the administrator.
  • the claim statement may relate to a particular contractual requirement or relate to an event or incident not related to any contractual requirements. This allows additional issues or issues not mentioned in the contractual requirements to be added by the user or administrator.
  • the verification output may be accessed via a dedicated website or dashboard module stored in the data processing apparatus, e.g., the computer unit.
  • the verification output may also be presented as a readable report, which can be downloaded or mailed to the user. This allows the users to access and interact with the data processing apparatus via dedicated interfaces.
  • the administrator or user may manually enter data into the verification output during the verification process. Alternatively, or additionally, data may be automatically downloaded into the verification output by the computer unit.
  • the computer unit may generate a verification signal, e.g., a standardised verification signal, indicative of whether the respective contractual requirement has been verified, pending, or not verified.
  • the verification signals may be combined with the structured dataset and linked to each contractual requirement or claim statement.
  • the data processing apparatus comprises a client user profile, at least one contractor user profile and optionally at least one supplier user profile, wherein the client, contractor or supplier accesses and interacts with the data processing unit via their respective user profile.
  • a plurality of user profiles each defining the respective user rights may be stored in the computer unit.
  • a dedicated client user profile may define the access and user rights for a client.
  • one or more dedicated contractor user profiles may define the access and user rights for one or more contractors or sub-contractors.
  • one or more dedicated supplier user profiles may define the access and user rights for one or more suppliers.
  • one or more dedicated third-party user profiles may define the access and user rights for one or more third-parties, such as insurance companies, service providers or so on. This allows the respective users of the present system to gain access to the verification output and optionally interact with the data processing apparatus.
  • the user may input comments and/or change the verification status of one or more of the contractual requirements.
  • the user may add comments to a particular contractual requirement and/or upload further information relating to the events of the contractual requirement.
  • the user may request that further signals of the inputted data and/or additional signals are added to the structured dataset.
  • the cameras are arranged relative to the industrial site to capture image data of the industrial site, or sub-areas thereof, wherein the resolution and frame rate is selected based on the application and type of industrial site.
  • Each camera is connected to the data processing apparatus via a first communications link, e.g., an encrypted communications link.
  • the data processing apparatus comprises a computer unit and at least a database in communication with computer unit, wherein a computer program is implemented on the computer unit and configured to execute the method step described above.
  • the data processing apparatus is configured to communicate with a positioning system via a communications link, wherein the positioning system is configured to input position data to the data processing apparatus.
  • the positioning system may be a Global Navigation Satellite System (such as GPS or GLONASS), a Local Positioning System (such as a radio, BLE, WIFI, UWB, or LIFI- based positioning system) or an Indoor Positioning System (such as HPPS).
  • GPS Global Navigation Satellite System
  • LEO Local Positioning System
  • HPPS Indoor Positioning System
  • a plurality of cameras may be positioned relative to the industrial site and angled so that they cover the monitored area from different angles.
  • the inputted image data may be combined in the computer unit to generate a multi-dimensional mapping of the monitored area, e.g., a 2D or 3D map. This allows for a better tracking of the objects as the installation often requires the objects to be moved in multiple directions within the coordinate system before being mounted or assembled to another object or structure.
  • radio communications devices configured to communicate with each other via a radio communications link, the radio communication between the radio communications devices being transmitted to the data processing apparatus, and/or
  • At least one microphone connected to the data processing apparatus, wherein the at least one microphone is configured to pick up audio signals from at least one position at the industrial site, and/or - a plurality of telemetry devices located within the industrial site and/or at least one meteorological unit or system, wherein the telemetry devices and/or the meteorological unit or system are configured to communicate with the data processing apparatus via one or more communications links.
  • the data processing apparatus may be configured to further receive other data from other sources via another communications link, wherein the other data may be representative of conditions at or related to the industrial site.
  • the radio communications may be conducted via encrypted communications links to prevent unauthorized access to the radio communications.
  • An encrypted communications link may be established between the individual radio communications devices and/or between the radio communications devices and the data processing apparatus.
  • one or more microphones may pick up audio signals from one or more positions at the industrial site, wherein the audio signals may include voice communications between workers, various machine sounds, audio alarms, announcements over speakers, weather sounds, and the like.
  • the audio signals picked up by the microphones may be transmitted to and stored in the database of the data processing apparatus for data analysis.
  • An encrypted communications link may be established between the microphones and the data processing apparatus to prevent unauthorized access to the audio signals.
  • Speed recognition algorithms may be implemented in the computer unit to extract unique voice commands from the radio communications and/or the audio signals, as mentioned earlier.
  • audio feature extraction algorithms may be implemented in the computer unit to extract unique audio signals associated with the performance of an operation and/or other characteristic audio signals that indirectly or directly affect the performance of an operation. For example, classes comprising machine operating sounds may be used for determining machine operating conditions. For example, classes comprising weather related sounds may be used for determining environmental operating conditions.
  • the data processing apparatus may be configured to communicate with a plurality of telemetry devices located within the industrial site for receiving telemetry data.
  • the telemetry data may be provided from a third- party provider.
  • Feature extraction algorithms may be implemented in the computer unit may be used to extract operational states from the telemetry data, such as crane based operational states.
  • the data processing apparatus may establish a wired or wireless communications link with the telemetry devices or a server of the third-party provider. These operational states may also be used to determine one or more operations of the industrial process.
  • the data processing apparatus may be configured to communicate with a meteorological unit or system located relative to the industrial site for receiving meteorological data.
  • a third-party provider may provide the meteorological data.
  • the data processing apparatus may establish a wired or wireless communications link with the meteorological unit or system or a server of the third-party provider.
  • the meteorological data may be stored in the database and combined with the image data and/or position data to form a structured dataset.
  • the data processing apparatus comprises:
  • dashboard module configured to provide users access to at least the verification output via dedicated user profiles, and/or
  • a dashboard module may be implemented in the computer unit so that users can access the verification output and optionally the structured dataset via dedicated user profiles.
  • the users may also interact with the data processing apparatus via the dashboard module to download a report of the results of the verification process.
  • the users may also enter comments to the deviations, add claim statements, and/or add further inputted signals to a particular deviation or claim statement via the dashboard module.
  • an API module may be implemented in the computer unit so that third-party service providers may access the data processing apparatus and input third-party data for data analysis.
  • the third-party data may be position data, telemetry data, meteorological data, and/or radio communications.
  • Users may also upload additional data to the data processing apparatus via the API module.
  • This additional data may be analysed manually or automatically by the computer unit to determine events of the industrial process. Alternatively, this additional data may be used to verify a claim statement or contractual requirement manually or automatically.
  • the industrial site is:
  • the present system and method are suited for managing dynamic sites where repetitive events are performed, but the location for these events may change during the overall industrial process.
  • the mapping of such sites may change dynamically due to the large structures, or components thereof, having a size and weight unsuited for high-volume mass production.
  • the dynamic site may be a construction site or an installation site for a large structure (e.g., a wind turbine, a building, or another large structure) where objects are temporary stored between usage or installed directly upon arrival, and where the mapping of the site changes during the construction process.
  • the dynamic site may also be a site (such as a temporary site) where various tasks or operations are performed at dedicated areas under controlled environments, and objects are moved between said areas during the industrial process.
  • the dynamic site may be a base port for the handling and loading of offsite components before installation.
  • the base port may comprise local assembly and/or production facilities so that the offshore components can be pre-assembled and/or produced onsite at the base port.
  • the dynamic site may also be an installation or shipping vessel where objects must be loaded and stored in predetermined pattern for optimal usage of the available storage space, and where the objects must be installed or unloaded in a particular order.
  • the dynamic site may also be a shipping terminal (such as airports, seaports, or standalone inland terminals), where objects must be loaded or unloaded and optionally stored in predetermined pattern, and where the movement of objects must be coordinated with the loading/unloading process to reduce idle time.
  • the present system and method are also suited for managing factories where a number of repetitive events are performed along each production line during the overall industrial process.
  • the mapping of such sites is fixed and the units, or components thereof, have a size and weight suited for high-volume, mass production.
  • One object of the present invention is achieved by a computer program, as mentioned in claim 20, comprising instructions which, when loaded and run on the system described above, causes the data processing apparatus to execute the method steps described earlier.
  • the present method is implemented into the data processing apparatus, wherein the computer unit is configured to execute the steps of the present method.
  • This allows the use and training of artificial intelligence, such as neutral networks (e.g., FNN, CNN, RNN, attention networks, DNN, or SNN) using machine learning to automatically determine the events of the industrial process.
  • neutral networks e.g., FNN, CNN, RNN, attention networks, DNN, or SNN
  • One object of the present invention is achieved by a computer-readable medium, as mentioned in claim 21, having stored thereon the computer program described above.
  • the present computer program is implemented on the computer-readable medium of a remote server (or server network) or local computer unit, thus allowing the data processing and storage to be adapted to desired site configuration and application.
  • a hybrid version of the data processing apparatus may be used where parts of the computer program may be implemented in the remote server and parts of the computer program may be implemented on the local computer unit.
  • the data analysis, the data storage, the data evaluation, the data verification, and the data access and interaction may be implemented on and executed by one or more remote servers or server networks.
  • the present data processing apparatus to be configured as a local-based data service, a remote- or cloud-based data service, or a hybrid data service thereof.
  • Fig. 1 shows a block diagram of a first embodiment of the method according to the present invention
  • Fig. 2 shows a first embodiment of the present system according to the present invention
  • Fig. 3 shows a second embodiment of the present system
  • Fig. 4 shows a third embodiment of the present system
  • Fig. 5 shows a fourth embodiment of the present system
  • Fig. 7 shows an example of the structured data set stored in the database
  • Fig. 8 shows an exemplary application of the present system for an offshore site
  • Fig. 9 shows an exemplary application of the present system for an onshore site
  • Fig. 10 shows an exemplary manual configuration of the present system
  • Fig. 11 shows an exemplary semi-automated configuration of the present system
  • Fig. 12 shows an exemplary automated configuration of the present system.
  • the figures will be described one by one, and the distinct parts and positions seen in the figures will be numbered with the same numbers throughout the different figures. Not all parts and positions indicated in a specific figure will necessarily be discussed together with that figure.
  • the frame resolution, shutter speed and other settings of the cameras are optionally adapted to the industrial process performed at the industrial site.
  • the image data is inputted to a data processing apparatus via a communications link, e.g., an encrypted communications link, wherein the image data is processed and analysed 2 as mentioned later.
  • the location data 3a is inputted via a positioning system, such as a global or local positioning system, in communication with the data processing apparatus.
  • the location data 3a is indicative of the locations of one or more objects within the industrial site.
  • the location data 3a, the telemetry data 3b and/or the acceleration and gyroscopic data 3c may be supplied by the same third-party provider.
  • the meteorological data 3d is inputted via a local meteorological unit or a third-party provider to the data processing apparatus.
  • the meteorological data 3d is representative of the environmental conditions relating to the industrial site.
  • the meteorological data 3d includes, but is not limited to, historical weather data and/or weather forecasts.
  • Workers at the industrial site can manually log further data relating to the conditions at the industrial site or to operations performed at the industrial site.
  • the inputted image data 1 and the inputted other data 3 are analysed 2 by a computer unit in the data processing apparatus to determine a number of operational states within the image data and the other types of data 3.
  • the operational states are preferably determined by the computer unit using computer vision algorithms, feature extraction algorithms, or a combination thereof.
  • the inputted data 1, 3 are filtered and pre-processed into signals or signal ranges suitable for the subsequent data analysis.
  • the operational states are further evaluated 4 by the computer unit to determine a number of events 5 using classification algorithms, custom logics, or a combination thereof.
  • the events 5 as well as the verification output, including the deviations 9, are stored in a database 10.
  • the verification output 9 together with the events 5 may be presented to the user as a report I la or in a dedicated graphic user interface 11b.
  • the user or administrator of the present system is further able to input data from third-party providers via a dedicated API interface 11c.
  • Fig. 2 shows a first embodiment of the system according to the present invention.
  • the data processing apparatus is configured as a hybrid data service, where parts 12’ of the data processing (ref. data analysis and evaluation and verification) are performed locally while other parts 12’ of the data processing are performed remotely.
  • the verification output from the local computer unit together with the data 14c and the events 5 are then stored in a remote database 10.
  • Users are then able to access the remote data processing apparatus by a dedicated API interface 11c using their respective user profiles.
  • the user can then view or download the events 5 and the verification output by transmitting data requests 16 to the remote data processing apparatus.
  • the user may request corrections or changes to the verification output via the API interface 11c.
  • Fig. 3 shows a second embodiment of the present system.
  • the data processing apparatus is configured as a remote data service, where the data processing 12 is performed remotely.
  • the remote computer unit evaluates the events 5 based on the contractual requirements 6 and claim statements 7 to determine any deviations 9.
  • the remote computer unit generates the verification output.
  • the events 5 and verification output, including deviations 9, are then stored in the remote database 10.
  • Fig. 4 shows a third embodiment of the present system.
  • the data processing apparatus is configured as an alternative remote data service, where the data storage 10 is performed in a remote database 10’ separate from the data processing 12.
  • the image data 1 and other data 3 are captured or measured locally 13” using cameras, sensors, or other data recording devices 14a, 14b.
  • the image data 1 and other data 3 are inputted to the local data processing unit, wherein the inputted data together with the data 14c inputted from third-party providers are analysed and evaluated locally 13” to determine the events 5.
  • the events 5 and structured dataset associated with each event 5 are then stored in a local database 10”.
  • Fig. 6 shows an example of synchronizing the image data 1 and the other data 3 to form a structured dataset 17.
  • the image data 1 and the other data 3 are synchronised using a timestamp signal 18.
  • the data associated with each event 5 in the structured dataset 17 are synchronised using this timestamp signal 18.
  • One or more timestamps 18a are logged and linked to each event 5. Thus, allowing the user to view at least the start, the end, and the time period for each event 5.
  • the structured dataset 17 along with the events 5 determined by the computer unit are then stored in the database for later verification of the contractual requirements 6 or claim statements 7.
  • Fig. 7 shows an example of the verification output 19 generated by the computer unit.
  • the verification output 19 is presented as a matrix where the relevant inputted data 1, 3 for each event 5 are listed together with the number of deviations 9 determined by the computer unit.
  • the matrix may be changed or altered upon request from the users, wherein the administrator of the present system may control the configuration of the matrix.
  • the matrix comprises information regarding the industrial site and the type of deviation 9 and inputted data 1, 3 related to each deviation 9.
  • the parties can access the data processing unit and manually enter or upload additional data related to the deviation 9 via the API interface 11c. Once the deviation 9 has been settled, the responsible party may then add an electronic signature in the matrix to indicate that this deviation 9 has been settled.

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Entrepreneurship & Innovation (AREA)
  • General Physics & Mathematics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Human Resources & Organizations (AREA)
  • Economics (AREA)
  • Physics & Mathematics (AREA)
  • Game Theory and Decision Science (AREA)
  • Educational Administration (AREA)
  • Development Economics (AREA)
  • Multimedia (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • General Business, Economics & Management (AREA)
  • Image Processing (AREA)
  • General Factory Administration (AREA)

Abstract

La présente invention concerne un procédé et un système de gestion d'un site industriel, comprenant une pluralité de caméras agencées par rapport au site industriel capturant des données d'image du site industriel. Les données d'image sont transmises à un appareil de traitement de données pour l'analyse et l'évaluation de données dans une unité informatique. L'unité informatique utilise des algorithmes informatiques pour déterminer une pluralité d'états opérationnels, l'unité informatique utilisant des classifications et une logique personnalisée pour déterminer des événements d'un processus industriel. Des exigences contractuelles ou des déclarations de revendication sont entrées dans l'appareil de traitement de données. L'unité informatique génère un ensemble de données structuré et vérifie les exigences contractuelles ou les déclarations de revendication sur la base des événements détectés. Les utilisateurs peuvent accéder à l'ensemble de données structuré par l'intermédiaire de profils d'utilisateur lors de la sédimentation des exigences contractuelles ou des déclarations de revendication.
PCT/DK2024/050031 2024-02-21 2024-02-21 Procédé de gestion d'un site industriel et système associé Pending WO2025176268A1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
PCT/DK2024/050031 WO2025176268A1 (fr) 2024-02-21 2024-02-21 Procédé de gestion d'un site industriel et système associé
PCT/DK2025/050027 WO2025176271A1 (fr) 2024-02-21 2025-02-21 Procédé de détermination de conformité contractuelle d'un processus industriel et système associé
DKPA202530633A DK202530633A1 (en) 2024-02-21 2025-10-13 A method of determining contractual compliance of an industrial process and a system thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/DK2024/050031 WO2025176268A1 (fr) 2024-02-21 2024-02-21 Procédé de gestion d'un site industriel et système associé

Publications (1)

Publication Number Publication Date
WO2025176268A1 true WO2025176268A1 (fr) 2025-08-28

Family

ID=90105391

Family Applications (2)

Application Number Title Priority Date Filing Date
PCT/DK2024/050031 Pending WO2025176268A1 (fr) 2024-02-21 2024-02-21 Procédé de gestion d'un site industriel et système associé
PCT/DK2025/050027 Pending WO2025176271A1 (fr) 2024-02-21 2025-02-21 Procédé de détermination de conformité contractuelle d'un processus industriel et système associé

Family Applications After (1)

Application Number Title Priority Date Filing Date
PCT/DK2025/050027 Pending WO2025176271A1 (fr) 2024-02-21 2025-02-21 Procédé de détermination de conformité contractuelle d'un processus industriel et système associé

Country Status (2)

Country Link
DK (1) DK202530633A1 (fr)
WO (2) WO2025176268A1 (fr)

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018191555A1 (fr) 2017-04-14 2018-10-18 Drishti Technologies. Inc Système d'apprentissage profond d'analyse en temps réel d'opérations de fabrication
CA3015879A1 (fr) 2018-08-29 2020-02-29 Westernone Inc. Systeme et procede de surveillance pour chantier de construction
CN111242574A (zh) 2020-01-08 2020-06-05 中国建筑第二工程局有限公司西南分公司 一种基于gps技术的智慧工地现场巡检管理系统及方法
CN111429107A (zh) 2020-04-08 2020-07-17 乌鲁木齐富迪信息技术有限公司 智慧工地管理系统
US20210004591A1 (en) 2019-09-14 2021-01-07 Ron Zass Sequence of events monitoring in construction sites
WO2021110226A1 (fr) 2019-12-02 2021-06-10 Claviate Aps Procédé de surveillance d'une zone de production et système associé
US11175650B2 (en) 2017-11-03 2021-11-16 Drishti Technologies, Inc. Product knitting systems and methods
US11321944B2 (en) 2019-10-17 2022-05-03 Drishti Technologies, Inc. Cycle detection techniques
US11531943B1 (en) * 2021-11-18 2022-12-20 Slate Technologies Inc. Intelligence driven method and system for multi-factor optimization of schedules and resource recommendations for smart construction

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018191555A1 (fr) 2017-04-14 2018-10-18 Drishti Technologies. Inc Système d'apprentissage profond d'analyse en temps réel d'opérations de fabrication
US11175650B2 (en) 2017-11-03 2021-11-16 Drishti Technologies, Inc. Product knitting systems and methods
CA3015879A1 (fr) 2018-08-29 2020-02-29 Westernone Inc. Systeme et procede de surveillance pour chantier de construction
US20210004591A1 (en) 2019-09-14 2021-01-07 Ron Zass Sequence of events monitoring in construction sites
US11321944B2 (en) 2019-10-17 2022-05-03 Drishti Technologies, Inc. Cycle detection techniques
WO2021110226A1 (fr) 2019-12-02 2021-06-10 Claviate Aps Procédé de surveillance d'une zone de production et système associé
CN111242574A (zh) 2020-01-08 2020-06-05 中国建筑第二工程局有限公司西南分公司 一种基于gps技术的智慧工地现场巡检管理系统及方法
CN111429107A (zh) 2020-04-08 2020-07-17 乌鲁木齐富迪信息技术有限公司 智慧工地管理系统
US11531943B1 (en) * 2021-11-18 2022-12-20 Slate Technologies Inc. Intelligence driven method and system for multi-factor optimization of schedules and resource recommendations for smart construction

Also Published As

Publication number Publication date
WO2025176271A1 (fr) 2025-08-28
DK202530633A1 (en) 2025-11-06

Similar Documents

Publication Publication Date Title
US11557009B2 (en) System and method for generating financial assessments based on construction site images
US11080838B1 (en) Systems and methods for image labeling using artificial intelligence
KR102674832B1 (ko) 엘리베이터 시스템의 유지 보수 과정의 추적
CN119963036B (zh) 基于三维云模型的大型建筑工程施工质量管理方法
Omar et al. Using BIM to automate construction site activities
US20190382113A1 (en) Drone cloud connectivity for asset and facility operations
US20200167931A1 (en) Controlling components of an energy industry operation using a processing system
CN120607187B (zh) 一种用于智慧工地的塔吊集群协同控制方法、系统及介质
WO2025176268A1 (fr) Procédé de gestion d'un site industriel et système associé
CN118759553B (zh) 一种基于国际运输的货物实时信息定位追踪方法及系统
CN120492872A (zh) 一种基于bim与物联网的工程进度、质量、安全协同管控系统及方法
WO2025176269A1 (fr) Procédé de gestion d'un site industriel et système associé
US20240256725A1 (en) Infrastructure asset prioritization software technologies for steel and concrete assets
CN119647923A (zh) 基于bim和gis的智慧梁场施工管理系统
US20240189996A1 (en) Building a robot mission based on mission metrics
Kassem et al. Measuring and improving the productivity of construction’s site equipment fleet: an integrated IoT and BIM system
US20240189998A1 (en) Building a robot mission based on mission inventory
CN119399654A (zh) 执行进度的确定方法和装置、存储介质及电子装置
Deria et al. An Audio Data-Driven Roadway Digital Twin and its Underlying Framework for Digitized Transportation Construction Environment
TWM594124U (zh) 智慧巡檢系統
CN120278599A (zh) 一种建筑智能3d成像安全质量监测系统
CN121119957A (zh) 基于多源数据动态分析智能体的施工关键环节管控方法
CN120893964A (zh) 基建现场工程数据服务运营方法和装置
CN120975636A (zh) 一种基于数据分析的机电管线安装质量管理系统
JP2025541815A (ja) ロボットミッションを構築するためのシステム、方法、およびデバイス

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: 24708353

Country of ref document: EP

Kind code of ref document: A1