EP4411080A1 - Bereitstellung von feedback an einen bediener eines bergbaufahrzeugs - Google Patents

Bereitstellung von feedback an einen bediener eines bergbaufahrzeugs Download PDF

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Publication number
EP4411080A1
EP4411080A1 EP23154320.8A EP23154320A EP4411080A1 EP 4411080 A1 EP4411080 A1 EP 4411080A1 EP 23154320 A EP23154320 A EP 23154320A EP 4411080 A1 EP4411080 A1 EP 4411080A1
Authority
EP
European Patent Office
Prior art keywords
mining vehicle
operator
memory
data
deviation
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
EP23154320.8A
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English (en)
French (fr)
Inventor
ESA Mattila
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.)
Sandvik Mining and Construction Oy
Original Assignee
Sandvik Mining and Construction Oy
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 Sandvik Mining and Construction Oy filed Critical Sandvik Mining and Construction Oy
Priority to EP23154320.8A priority Critical patent/EP4411080A1/de
Priority to PCT/EP2024/052154 priority patent/WO2024160771A1/en
Publication of EP4411080A1 publication Critical patent/EP4411080A1/de
Pending legal-status Critical Current

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Classifications

    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02F—DREDGING; SOIL-SHIFTING
    • E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
    • E02F9/26—Indicating devices
    • E02F9/267—Diagnosing or detecting failure of vehicles
    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02F—DREDGING; SOIL-SHIFTING
    • E02F9/00—Component parts of dredgers or soil-shifting machines, not restricted to one of the kinds covered by groups E02F3/00 - E02F7/00
    • E02F9/20—Drives; Control devices
    • E02F9/2025—Particular purposes of control systems not otherwise provided for
    • E02F9/2054—Fleet management

Definitions

  • Various example embodiments generally relate to the field of underground worksites and vehicles used therein.
  • some example embodiments relate to a solution for providing feedback to an operator of a mining vehicle.
  • Mining or construction excavation worksites such as underground hard rock or soft rock mines, use work machines, such as load and/or haul machines and drilling rigs, which may also be referred to generally as mining vehicles.
  • a mining vehicle may be operated by a human operator.
  • the actions performed by the operator may not always be ideal in the working environment of the mining vehicle.
  • the operator may drive too fast in a mine or may wrongly apply brakes of the mining vehicle.
  • the mining vehicle may collect performance data relating to the operator, and the performance data may then be post-processed, for example, after a shift, using, for example, cloud processing. After the post-processing, a performance evaluation of the operator may be established. However, as the performance evaluation is performed only afterwards, it may be difficult afterwards to link the operator's actions accurately, for example, to challenging sections in the mine, where the work is performed.
  • Example embodiments may provide a solution that may enable provision of feedback to an operator of a mining vehicle in real-time or substantially in real-time.
  • an apparatus for a mining vehicle comprises at least one processor and at least one memory including computer program code.
  • the at least one memory and the computer program code are configured to, with the at least one processor, cause the apparatus at least to: obtain, from the at least one memory, mining vehicle reference performance data; obtain first machine control data associated with the mining vehicle, when an operator operates the mining vehicle; compare the first machine control data associated with the mining vehicle to the mining vehicle reference performance data to detect at least one first deviation from the mining vehicle reference performance data; and provide a first feedback to the operator in response to detecting the at least one first deviation from the mining vehicle reference performance data.
  • the at least one memory and the computer program code are further configured to with the at least one processor, cause the apparatus at least to: obtain identification information identifying the operator of the mining vehicle before the operator starts to operate the mining vehicle; associate the detected at least one deviation with the identification information to provide identified deviation data; and store the identified deviation data in the at least one memory.
  • the at least one memory and the computer program code are further configured to with the at least one processor, cause the apparatus at least to: read the identified deviation data from the at least one memory; obtain second machine control data associated with the mining vehicle, when the operator operates the mining vehicle; compare the second machine control data associated with the mining vehicle to the mining vehicle reference performance data to detect at least one second deviation from the mining vehicle reference performance data; compare the detected at least one second deviation to the identified deviation data from the memory; and provide a second feedback to the operator based on the comparison.
  • the at least one memory and the computer program code are further configured to with the at least one processor, cause the apparatus at least to provide an overview associated with a time period to the operator based on the stored identified deviation data in the at least one memory.
  • the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to transmit the identified deviation data stored in the at least one memory to a network entity.
  • the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to: obtain, via a network connection, historical data associated with the operator operating the mining vehicle; and provide third feedback to the operator based on the stored identified deviation data and the historical data.
  • the first feedback, the second feedback, the third feedback and/or the overview comprises at least one of audio feedback and visual feedback.
  • the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to: receive updated mining vehicle reference performance data via a network connection; and store the updated mining vehicle reference performance data in the at least one memory.
  • a mining vehicle comprising an apparatus according to the first aspect.
  • a method comprises obtaining, from at least one memory, mining vehicle reference performance data; obtaining first machine control data associated with the mining vehicle, when an operator operates the mining vehicle; comparing the first machine control data associated with the mining vehicle to the mining vehicle reference performance data to detect at least one first deviation from the mining vehicle reference performance data; and providing a first feedback to the operator in response to detecting the at least one first deviation from the mining vehicle reference performance data.
  • the method further comprises obtaining identification information identifying the operator of the mining vehicle before the operator starts to operate the mining vehicle; associating the detected at least one deviation with the identification information to provide identified deviation data; and storing the identified deviation data in the at least one memory.
  • the method further comprises reading the identified deviation data from the at least one memory; obtaining second machine control data associated with the mining vehicle, when the operator operates the mining vehicle; comparing the second machine control data associated with the mining vehicle to the mining vehicle reference performance data to detect at least one second deviation from the mining vehicle reference performance data; comparing the detected at least one second deviation to the identified deviation data from the memory; and providing a second feedback to the operator based on the comparison.
  • the method further comprises providing an overview associated with a time period to the operator based on the stored identified deviation data in the at least one memory.
  • the method further comprises transmitting the identified deviation data stored in the at least one memory to a network entity for further analysis.
  • the method further comprises obtaining, via a network connection, historical data associated with the operator operating the mining vehicle; and providing third feedback to the operator based on the stored identified deviation data and the historical data.
  • the first feedback, the second feedback, third feedback and/or the overview comprises at least one of audio feedback and visual feedback.
  • the method further comprises receiving updated mining vehicle reference performance data via a network connection; and storing the updated mining vehicle reference performance data in the at least one memory.
  • a computer program comprises instructions for causing an apparatus to carry out the method of the third aspect.
  • a non-transitory computer readable medium comprises a computer program comprising instructions for causing an apparatus to carry out the method of the third aspect.
  • FIG. 1 illustrates an example of a system according to an example embodiment.
  • a mining vehicle 100 may operate in a worksite, for example, an underground worksite or an aboveground worksite.
  • the mining vehicle 100 may be any type of a mobile work machine suitable to be used in mine operations, such as lorries, dumpers, vans, mobile rock drilling or cutting rigs, mobile reinforcement machines, trucks, dumpers, and bucket loaders.
  • the mining vehicle 100 may comprise an apparatus 102 configured to provide real-time or substantially real-time performance evaluation of an operator of the mining vehicle 100.
  • the apparatus 102 may be configured to provide feedback data to the operator using a feedback interface 104 or a feedback device, providing, for example, audio and/or visual feedback, for example, with a speaker and/or display device.
  • the feedback device may be a tablet computer arranged in the mining vehicle 100.
  • the apparatus 102 may be connected to a cloud system or systems 106 via a network connection.
  • the cloud system 106 may be configured to provide to the apparatus 102 mining vehicle reference performance data providing information, for example, about approved performance of the operator of the mining vehicle, and the apparatus 102 may use this information when providing feedback with the feedback interface 104 to the operator.
  • the feedback interface 104 may be an integral part of the apparatus 102. Alternatively, the feedback interface 104 may be an external device communicatively connected to the apparatus 102.
  • FIG. 2 illustrates an example of a method according to an example embodiment.
  • the method may comprise a computer-implemented method implemented by an apparatus 102 configured for providing feedback, such as a controller workstation, a mobile unit, such as a mobile cellular device or other type of mobile communications device, a vehicle on-board control device, or other kind of appropriately configured data processing device in a mining vehicle.
  • an apparatus 102 configured for providing feedback, such as a controller workstation, a mobile unit, such as a mobile cellular device or other type of mobile communications device, a vehicle on-board control device, or other kind of appropriately configured data processing device in a mining vehicle.
  • the apparatus 102 may be configured to obtain, from a memory, mining vehicle reference performance data.
  • the mining vehicle reference performance data may provide information, for example, about approved performance of operating the mining vehicle.
  • the mining vehicle reference performance data may comprise, for example, one or more algorithms that have been determined based on measured data relating to operating a plurality of mining vehicles by a plurality of operators, and the algorithms may set a predefined performance level or levels for an operator of the mining vehicle 100.
  • the mining vehicle reference performance data may comprise location dependent data, thus applicable only to predetermined locations in a mine. Additionally, or alternatively, the mining vehicle reference performance data may comprise universal data that applies to all mining vehicles of a specific model or type.
  • the mining vehicle reference performance data may be associated with the operator (for example, comprising historical performance data associated with the operator, operational parameters of the vehicle associated with the operator, etc.) and/or with the mining vehicle itself.
  • approved performance used herein may refer, for example, to one or more thresholds relating to one or more operating parameters of the mining vehicle.
  • the mining vehicle reference performance data may be stored in a memory of the apparatus 102 or a memory accessible by the apparatus 102.
  • the mining vehicle reference performance data may be obtained and stored in the memory before an operator starts his/her shift.
  • the mining vehicle reference performance data may be stored in the memory and updated when necessary by the cloud system 106.
  • the apparatus 102 may be configured to obtain machine control data associated with the mining vehicle, when an operator operates the mining vehicle.
  • the machine control data may refer, for example, to data that the mining vehicle 100 provides when the operator operates the mining vehicle 100.
  • the machine control data may comprise a mining vehicle speed used by the operator at a plurality of points, various mining vehicle actions or operations performed by the operator, information relating to braking and/or accelerating of the mining vehicle, etc.
  • the apparatus 102 may be configured to compare the machine control data associated with the mining vehicle to the mining vehicle reference performance data to detect at least one deviation from the mining vehicle reference performance data.
  • the term "deviation” used herein may mean a deviation or a violation from a desired or expected behavior of the operator, when the operator operates the mining vehicle 100. For example, in a certain location or section in the mine the operator is allowed to use a maximum speed of 10 km/h. However, if the operator exceeds this maximum speed for more than 30 seconds, this may be considered as a "deviation” or "violation.”
  • Other examples of the deviation or violation may comprise, for example, at least one of the following:
  • the apparatus 102 may be configured to provide feedback to the operator in response to detecting the at least one deviation from the mining vehicle reference performance data.
  • the feedback may comprise audio and/or visual feedback.
  • a speaker may be controlled to inform the operator that "you have maintained the maximum allowed speed for too long" or "you are driving too fast" once the deviation or violation is detected.
  • the deviation may also be a positive deviation indicating operator's good performance, and the feedback provided to the operator may comprise positive feedback.
  • the operator of the mining vehicle 100 can be provided with real-time or substantially real-time feedback on his/her performance, thus enabling real-time operator competence development.
  • a display or a tablet computer arranged, for example, in the vicinity of the operator may be used to provide the feedback in an image form to the operator.
  • FIG. 3 illustrates an example of a method according to another example embodiment.
  • the method may comprise a computer-implemented method implemented by an apparatus configured for providing feedback, such as a controller workstation, a mobile unit, such as a mobile cellular device or other type of mobile communications device, a vehicle on-board control device, or other kind of appropriately configured data processing device in a mining vehicle.
  • an apparatus configured for providing feedback, such as a controller workstation, a mobile unit, such as a mobile cellular device or other type of mobile communications device, a vehicle on-board control device, or other kind of appropriately configured data processing device in a mining vehicle.
  • the apparatus 102 may be configured to obtain identification information identifying the operator of the mining vehicle 100 before the operator starts to operate the mining vehicle 100.
  • the identification information may be obtained, for example, by a radio frequency identification (RFID) reader arranged in the mining vehicle 100 reading an RFID tag associated with the operator.
  • RFID radio frequency identification
  • the operator may be identified via other solutions, for example, via the feedback interface 104, an image recognition system, a fingerprint reader, a PIN code, etc. When the operator is identified, this enables all actions performed by the operator to be linked to the operator.
  • the apparatus 102 may be configured to obtain, from a memory, mining vehicle reference performance data.
  • the mining vehicle reference performance data may provide information, for example, about approved performance of operating the mining vehicle.
  • the mining vehicle reference performance data may comprise, for example, one or more algorithms that have been determined based on measured data relating to operating a plurality of mining vehicles by a plurality of operators, and the algorithms may set a predefined performance level or levels for an operator of the mining vehicle 100.
  • the mining vehicle reference performance data may comprise location dependent data, thus applicable only to predetermined locations in a mine. Additionally, or alternatively, the mining vehicle reference performance data may comprise universal data that applies to all mining vehicles of a specific model or type.
  • the mining vehicle reference performance data may be associated with the operator (for example, comprising historical performance data associated with the operator, operational parameters of the vehicle associated with the operator, etc.) and/or with the mining vehicle itself.
  • the mining vehicle reference performance data may be stored in the memory of the apparatus 102 or a memory accessible by the apparatus 102.
  • the mining vehicle reference performance data may be obtained and stored in the memory before an operator starts his/her shift.
  • the mining vehicle reference performance data may be stored in the memory at any time and be updatable when necessary by the cloud system 106.
  • the apparatus 102 may be configured to obtain first machine control data associated with the mining vehicle 100, when the operator operates the mining vehicle 100.
  • the first machine control data may refer, for example, to data that the mining vehicle 100 provides when the operator controls the mining vehicle 100.
  • the first machine control data may comprise a mining vehicle speed used by the operator, various mining vehicle actions or operations performed by the operator, etc.
  • the apparatus 102 may be configured to compare the first machine control data associated with the mining vehicle to the mining vehicle reference performance data to detect 308 at least one first deviation from the mining vehicle reference performance data.
  • the term "deviation” used herein may mean a deviation or a violation from a desired or expected behavior of the operator, when the operator operates the mining vehicle 100. For example, in a certain location or section in the mine the operator is allowed to use a maximum speed of 10 km/h. However, if the operator exceeds this maximum speed for more than 30 seconds, this may be considered as a "deviation” or "violation.”
  • the apparatus 102 may be configured to provide feedback to the operator in response to detecting the at least one first deviation from the mining vehicle reference performance data.
  • the feedback may comprise audio and/or visual feedback.
  • a speaker may be controlled to inform the operator that "you have maintained the maximum allowed speed for too long" or "you are driving too fast” once the deviation or violation is detected.
  • the operator of the mining vehicle 100 can be provided with real-time or substantially real-time feedback about his/her performance.
  • a display or a tablet computer arranged, for example, in the vicinity of the operator may be used to provide the feedback to the operator.
  • the steps 304-310 may be performed repeatedly to constantly monitor the performance of the operator and to provide real-time or substantially real-time feedback to the operator whenever necessary.
  • the apparatus 102 may be configured to associate the detected at least one deviation with the identification information to provide identified deviation data.
  • the apparatus may be configured to store the identified deviation data in the memory.
  • all the deviations or violations associated with the operator can be linked to a specific operator and can be used to prepare, for example, historical analysis associated with the operator.
  • the apparatus 102 may be configured to transmit the identified deviation data stored in the memory to a network entity, for example, to a server or to the cloud system 106, for further analysis. The transmission may be performed, for example, periodically during an operator's shift or once at the end of the operator's shift.
  • the stored identified deviation data may be read from the memory.
  • the reading operation may be performed, for example, when the operator starts a new, second shift, and steps 304-314 have been performed during a first shift.
  • the apparatus 102 may be configured to again obtain the identification information identifying the operator of the mining vehicle 100 before the operator starts to operate the mining vehicle 100 again.
  • the apparatus 102 may be configured to obtain second machine control data associated with the mining vehicle 100, when an operator operates the mining vehicle 100.
  • the second machine control data may refer, for example, to data that the mining vehicle 100 stores when the operator controls the mining vehicle 100.
  • the second machine control data may comprise a mining vehicle speed used by the operator, various mining vehicle actions or operations performed by the operator, etc.
  • the apparatus 102 may be configured to compare the second machine control data associated with the mining vehicle to the mining vehicle reference performance data to detect 322 at least one second deviation from the mining vehicle reference performance data. For example, in a certain location or section in the mine the operator is allowed to use a maximum speed of 10 km/h. However, if the operator exceeds this maximum speed for more than 30 seconds, this may be considered as a "deviation" or "violation.”
  • the apparatus 102 may be configured compare the detected at least one second deviation to the identified deviation data read from the memory.
  • the memory may be used to store short-term data about the operator's performance and this data may be used in evaluating the subsequent performance of the operator.
  • the identified deviation data stored in the memory may comprise information relating to a first shift of an operator.
  • deviations or violations detected at 322 may be compared at 324 to the stored identified deviation data. This enables a solution in which at 326 second feedback may be provided to the operator based on the comparison. For example, the operator may be informed that "you have exceeded the maximum speed now two times more than during the first shift," etc.
  • the detected deviations may be associated with the identification data relating to the operator and the identified deviation data may be stored in the memory and transmitted at 332 to the network entity, for example, to a server or to the cloud system 106, for further analysis.
  • the apparatus 102 may be configured to provide an overview associated with a time period to the operator based on the stored identified deviation data in the memory.
  • the time period may be, for example, one shift.
  • the operator is able to see how he/she performed during the shift.
  • the apparatus 102 may be configured to obtain, via a network connection, historical data associated with the operator operating the mining vehicle, and provide feedback to the operator based on the stored identified deviation data and the historical data. For example, after each shift historical data may be requested, for example, from the cloud system 106 to enable comparison of the performance of the most recent shift with the historical data. Thus, the operator can immediately after the shift see how he/she performed compared to the historical data.
  • FIG. 4 illustrates an example of an apparatus 102 configured to practice one or more example embodiments.
  • the apparatus 102 may comprise, for example, a server, a controller workstation, a mobile communications device, a vehicle on-board control device, or other kind of appropriately configured data processing device configured to implement functionality described herein.
  • the apparatus 102 is illustrated as a single device, it is appreciated that, wherever applicable, functions of the apparatus 102 may be distributed to a plurality of devices.
  • the apparatus 102 may comprise at least one processor 400.
  • the at least one processor 400 may comprise, for example, one or more of various processing devices or processor circuitry, such as, for example, a co-processor, a microprocessor, a controller, a Digital Signal Processor (DSP), a processing circuitry with or without an accompanying DSP, or various other processing devices including integrated circuits such as, for example, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), a Microcontroller Unit (MCU), a hardware accelerator, a special-purpose computer chip, or the like.
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA Field Programmable Gate Array
  • MCU Microcontroller Unit
  • hardware accelerator a special-purpose computer chip, or the like.
  • the apparatus 102 may further comprise at least one memory 402.
  • the at least one memory 402 may be configured to store, for example, computer program code or the like, for example, operating system software and application software, and mining vehicle reference performance data and deviation data associated with an operator of a mining vehicle.
  • the at least one memory 402 may comprise one or more volatile memory devices, one or more nonvolatile memory devices, and/or a combination thereof.
  • the at least one memory 402 may be embodied as storage devices (such as hard disk drives, solid state drives, magnetic tapes, etc.), optical magnetic storage devices, or semiconductor memories (such as mask ROM, PROM (programmable ROM), EPROM (erasable PROM), flash ROM, RAM (random access memory), etc.).
  • the apparatus 102 may further comprise a communication interface 406 configured to enable the apparatus 102 to transmit and/or receive information to/from other devices, for example, the cloud system 106.
  • the apparatus 102 may use the communication interface 406 to transmit or receive signaling information and data in accordance with at least one data communication or cellular communication protocol.
  • the communication interface 406 may be configured to provide at least one wireless radio, such as, for example, a 3GPP mobile broadband connection (e.g., 3G, 4G, 5G, 6G, etc.), or a wired connection.
  • the apparatus 102 may further comprise a display 408 or an interface to which a display can be connected to.
  • the apparatus 102 may further comprise an input device 410, for example, a keyboard, a mouse etc., for receiving user input.
  • the apparatus 102 When the apparatus 102 is configured to implement some functionality, some component and/or components of the apparatus 102, for example, the at least one processor 400 and/or the at least one memory 402, may be configured to implement this functionality. Furthermore, when the at least one processor 400 is configured to implement some functionality, this functionality may be implemented using the program code 404 comprised, for example, in the at least one memory 402.
  • the apparatus may comprise a processor or processor circuitry, for example, a microcontroller, configured by the program code when executed to execute the embodiments of the operations and functionality described herein.
  • the program code 404 is provided as an example of instructions which, when executed by the at least one processor 400, cause performance of apparatus.
  • the functionality described herein can be performed, at least in part, by one or more hardware logic components.
  • illustrative types of hardware logic components include Field-programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application-Specific Standard Products (ASSPs), System-on-a-chip systems (SOCs), Complex Programmable Logic Devices (CPLDs), and Graphics Processing Units (GPUs).
  • FPGAs Field-programmable Gate Arrays
  • ASICs Application-Specific Integrated Circuits
  • ASSPs Application-Specific Standard Products
  • SOCs System-on-a-chip systems
  • CPLDs Complex Programmable Logic Devices
  • GPUs Graphics Processing Units
  • the apparatus 102 may be configured to perform or cause performance of any aspect of the method(s) described herein.
  • a computer program may comprise instructions for causing, when executed, an apparatus to perform any aspect of the method(s) described herein.
  • the computer program may be stored on a computer-readable medium.
  • the apparatus 102 may comprise means for performing any aspect of the method(s) described herein.
  • the means comprises the at least one processor 400, the at least one memory 402 including the program code 404 (instructions) configured to, when executed by the at least one processor 400, cause the apparatus 102 to perform the method(s).
  • computer program instructions may be executed on means providing generic processing functions.
  • the method(s) may be thus computer-implemented, for example based algorithm(s) executable by the generic processing functions, an example of which is the at least one processor 400.
  • the means may comprise transmission and/or reception means, for example one or more radio transmitters or receivers, which may be coupled or be configured to be coupled to one or more antennas, or transmitter(s) or receiver(s) of a wired communication interface.
  • circuitry' may refer to one or more or all of the following: (a) hardware-only circuit implementations (such as implementations in only analog and/or digital circuitry) and (b) combinations of hardware circuits and software, such as (as applicable) : (i) a combination of analog and/or digital hardware circuit(s) with software/firmware and (ii) any portions of hardware processor(s) with software (including digital signal processor(s)), software, and memory(ies) that work together to cause an apparatus, such as a mobile phone or server, to perform various functions) and (c) hardware circuit(s) and or processor(s), such as a microprocessor(s) or a portion of a microprocessor(s), that requires software (e.g., firmware) for operation, but the software may not be present when it is not needed for operation.
  • This definition of circuitry applies to all uses of this term in this application, including in any claims.

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  • Engineering & Computer Science (AREA)
  • Mining & Mineral Resources (AREA)
  • Civil Engineering (AREA)
  • General Engineering & Computer Science (AREA)
  • Structural Engineering (AREA)
  • Traffic Control Systems (AREA)
EP23154320.8A 2023-01-31 2023-01-31 Bereitstellung von feedback an einen bediener eines bergbaufahrzeugs Pending EP4411080A1 (de)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP23154320.8A EP4411080A1 (de) 2023-01-31 2023-01-31 Bereitstellung von feedback an einen bediener eines bergbaufahrzeugs
PCT/EP2024/052154 WO2024160771A1 (en) 2023-01-31 2024-01-30 Provision of feedback to an operator of a mining vehicle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
EP23154320.8A EP4411080A1 (de) 2023-01-31 2023-01-31 Bereitstellung von feedback an einen bediener eines bergbaufahrzeugs

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EP4411080A1 true EP4411080A1 (de) 2024-08-07

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150004572A1 (en) * 2013-06-26 2015-01-01 Caterpillar Inc. Real-Time Operation-Based Onboard Coaching System
US20160078391A1 (en) * 2014-01-14 2016-03-17 Deere & Company Agricultural information sensing and retrieval
DE102019207141A1 (de) * 2019-05-16 2020-11-19 Robert Bosch Gmbh Verfahren zur Analyse der Verwendung einer Arbeitsmaschine
EP4079976A1 (de) * 2020-03-11 2022-10-26 Komatsu Ltd. Betriebsführungsvorrichtung

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150004572A1 (en) * 2013-06-26 2015-01-01 Caterpillar Inc. Real-Time Operation-Based Onboard Coaching System
US20160078391A1 (en) * 2014-01-14 2016-03-17 Deere & Company Agricultural information sensing and retrieval
DE102019207141A1 (de) * 2019-05-16 2020-11-19 Robert Bosch Gmbh Verfahren zur Analyse der Verwendung einer Arbeitsmaschine
EP4079976A1 (de) * 2020-03-11 2022-10-26 Komatsu Ltd. Betriebsführungsvorrichtung

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