US20180275630A1 - System and method for machine tool maintenance and repair - Google Patents

System and method for machine tool maintenance and repair Download PDF

Info

Publication number
US20180275630A1
US20180275630A1 US15/933,379 US201815933379A US2018275630A1 US 20180275630 A1 US20180275630 A1 US 20180275630A1 US 201815933379 A US201815933379 A US 201815933379A US 2018275630 A1 US2018275630 A1 US 2018275630A1
Authority
US
United States
Prior art keywords
machine tool
expert
state model
maintenance procedure
visual
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.)
Abandoned
Application number
US15/933,379
Inventor
Yung-Chou KAO
Haw-Ching Yang
Fan-Tien Cheng
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.)
National Cheng Kung University NCKU
Original Assignee
National Cheng Kung University NCKU
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 National Cheng Kung University NCKU filed Critical National Cheng Kung University NCKU
Priority to US15/933,379 priority Critical patent/US20180275630A1/en
Assigned to NATIONAL CHENG KUNG UNIVERSITY reassignment NATIONAL CHENG KUNG UNIVERSITY ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: CHENG, FAN-TIEN, KAO, YUNG-CHOU, YANG, HAW-CHING
Publication of US20180275630A1 publication Critical patent/US20180275630A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/09Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
    • B23Q17/0995Tool life management
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/24Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves
    • B23Q17/2452Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves for measuring features or for detecting a condition of machine parts, tools or workpieces
    • B23Q17/2457Arrangements for observing, indicating or measuring on machine tools using optics or electromagnetic waves for measuring features or for detecting a condition of machine parts, tools or workpieces of tools
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/0213Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B23MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23QDETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/09Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool
    • B23Q17/0952Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool during machining
    • B23Q17/0971Arrangements for observing, indicating or measuring on machine tools for indicating or measuring cutting pressure or for determining cutting-tool condition, e.g. cutting ability, load on tool during machining by measuring mechanical vibrations of parts of the machine
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N3/00Investigating strength properties of solid materials by application of mechanical stress
    • G01N3/58Investigating machinability by cutting tools; Investigating the cutting ability of tools
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/048Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators using a predictor
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/18Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form
    • G05B19/406Numerical control [NC], i.e. automatically operating machines, in particular machine tools, e.g. in a manufacturing environment, so as to execute positioning, movement or co-ordinated operations by means of programme data in numerical form characterised by monitoring or safety
    • G05B19/4065Monitoring tool breakage, life or condition
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5041Network service management, e.g. ensuring proper service fulfilment according to agreements characterised by the time relationship between creation and deployment of a service
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24065Real time diagnostics
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/32Operator till task planning
    • G05B2219/32214Display on screen what fault and which tool and what order to repair fault
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/30Nc systems
    • G05B2219/37Measurements
    • G05B2219/37252Life of tool, service life, decay, wear estimation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45595Network integration; Enabling network access in virtual machine instances
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T19/00Manipulating 3D models or images for computer graphics
    • G06T19/006Mixed reality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00Network arrangements, protocols or services for addressing or naming
    • H04L61/50Address allocation
    • H04L61/5007Internet protocol [IP] addresses
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/02Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L69/00Network arrangements, protocols or services independent of the application payload and not provided for in the other groups of this subclass
    • H04L69/30Definitions, standards or architectural aspects of layered protocol stacks
    • H04L69/32Architecture of open systems interconnection [OSI] 7-layer type protocol stacks, e.g. the interfaces between the data link level and the physical level
    • H04L69/322Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions
    • H04L69/325Intralayer communication protocols among peer entities or protocol data unit [PDU] definitions in the network layer [OSI layer 3], e.g. X.25
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning

Definitions

  • the disclosure relates to a system and a method for machine tool maintenance and repair, and more particularly, to a system and a method for machine tool maintenance and repair by using a virtual reality (VR) or augmented reality (AR) technology.
  • VR virtual reality
  • AR augmented reality
  • a conventional tool maintenance method still relies on an electronic or paper manual for inspecting a machine tool, and sometimes a maintenance instruction film may be recorded and provided for teaching and enabling a maintenance personnel to perform tool maintenance and repair by using audio-video instructions besides literal instructions.
  • a spindle of a machine tool is out of order, maintenance personnel may first look for the maintenance data of the spindle for inspecting the spindle, and thus the maintenance personnel has to look up in the manuals to find out the solutions according to the actual failure causes of the spindle.
  • this convention tool maintenance and repair method merely has literal descriptions with few corresponding photos, and thus it takes a lot of time for a maintenance notice to recover the spindle.
  • the maintenance data When being shown in a video mode (maintenance film), the maintenance data may be shown by using images, sound and words.
  • the maintenance film shows all the problems linking to the solutions, such that the maintenance personnel will have difficulty in finding main points for processing, thus prolonging the maintenance time.
  • a processing plant generally has several machine tools using the same cutting tool product (type). It takes a lot of time to judge the abnormal statuses of the machine tools one by one, and it is quite likely to make wrong judgements. Hence, there is need to develop and provide a method for simultaneously monitoring and maintaining several machine tools.
  • An object of the disclosure is to provide a system and a method for machine tool maintenance and repair, thereby shortening the maintenance time by using a virtual reality (VR) manner or an augmented reality (AR) manner.
  • VR virtual reality
  • AR augmented reality
  • Another object of the disclosure is to provide a system and a method for machine tool maintenance and repair, thereby using a cyber physical agent (CPA) to simultaneously monitor and repair plural machines of the same machine type.
  • CPA cyber physical agent
  • an aspect of the disclosure is to provide a system for machine tool maintenance and repair, the system includes at least one machine tool, a human cyber physical system, a cyber-physical agent (CPA) and an on-site device.
  • Plural sensors are installed on each of the at least one machine tool for collecting plural sets of state data of the machine tool that is in operation, and the at least one machine tool has the same tool type.
  • the human cyber physical system has a visual initial-state model and a standard maintenance procedure, in which plural component models of respective parts of the machine tool are built in accordance with measured dimension data of the parts of the machine tool, and the component models are assembled to form the visual initial-state model in accordance with exploded view data of the machine tool.
  • the human cyber physical system analyzes periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building the standard maintenance procedure.
  • the CPA is communicatively connected to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data, in which the CPA or the human cyber physical system updates the visual initial-state model as a visual operating-state model in accordance with the sets of state data, and the CPA obtains an event standard maintenance procedure from the standard maintenance procedure in accordance with the sets of state data.
  • the on-site device is communicatively connected to the CPA for enabling an on-site personnel to access the visual operating-state model and the event standard maintenance procedure.
  • the aforementioned system further includes an expert device communicatively connected to the human cyber physical system for enabling an expert to access the visual operating-state model, in which the expert device provides an expert maintenance procedure to the on-site personnel.
  • the visual initial-state model and the visual operating-state model are VR models or AR models
  • the on-site device and the expert device are VR devices or AR devices.
  • the at least one machine tool is a rotary machine
  • the sensors includes a dynamometer, an energy consumption sensor and a temperature sensor.
  • the aforementioned system further includes a cloud layer, a networking layer and a factory layer.
  • the cloud layer includes the human cyber physical system
  • the factory layer includes the at least one machine tool and the CPA
  • the networking layer communicatively connects the factory layer to the cloud layer.
  • another aspect of the disclosure is to provide a method for machine tool maintenance and repair.
  • the method includes installing plural sensors on each of at least one machine tool for collecting a plurality of sets of state data of the machine tool that is in operation; building plural component models of respective parts of the machine tool in accordance with measured dimension data of the parts of the machine tool, and assembling the component models are assembled to form a visual initial-state model in accordance with exploded view data of the machine tool; analyzing periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building a standard maintenance procedure; storing the visual initial-state model and the standard maintenance procedure in a human cyber physical system; communicatively connecting a cyber-physical agent (CPA) to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data; updating the visual initial-state model as a visual operating-state model in accordance with the sets of state data, and obtaining an event standard maintenance procedure from the standard maintenance procedure in accordance with the sets of state data; and
  • CPA cyber
  • an expert device is communicatively connected to the human cyber physical system for enabling an expert to access the visual operating-state model, and the expert enters an expert maintenance procedure into the expert device, and the expert device uploads the expert maintenance procedure to the human cyber physical system, thereby enabling the on-site personnel to access the expert maintenance procedure through the on-site device.
  • the aforementioned method further includes disposing the human cyber physical system in a cloud layer; disposing the at least one machine tool and the CPA in a factory layer; and communicatively connecting the factory layer to the cloud layer via a networking layer.
  • the maintenance time can be shortened by using a VR manner or an AR manner, and a cyber physical agent (CPA) can be used to simultaneously monitor and repair plural machines of the same machine type.
  • CPA cyber physical agent
  • FIG. 1 is a schematic diagram showing a system for machine tool maintenance and repair in accordance with some embodiments of the disclosure
  • FIG. 2 is a schematic diagram explaining a SOP-AVR mode and an EG-AVR mode for machine tool maintenance and repair in accordance with some embodiments of the disclosure
  • FIG. 3A illustrates a schematic flow chart showing a method for machine tool maintenance and repair in a modeling stage according to some embodiments of the disclosure
  • FIG. 3B illustrates a schematic flow chart showing a method for machine tool maintenance and repair in an operating stage according to some embodiments of the disclosure.
  • FIG. 3C illustrates a schematic flow chart showing a method for machine tool maintenance and repair in an updating stage according to some embodiments of the disclosure.
  • Embodiments of the disclosure provide a system and a method for machine tool maintenance and repair, thereby enabling an expert at a remote site to collaborate with an on-site personnel located beside a machine tool to maintain or repair the machine tool by integrating a VR or AR model with the physical machine tool.
  • Embodiments of the disclosure provide two maintenance modes which are an augmented virtual reality model guided by a standard operation procedure (referred as a SOP-AVR mode), and an augmented virtual reality model guided by an expert operation procedure (referred as an EG-AVR mode).
  • the on-site personnel enters a maintenance instruction mode to perform maintenance or repair, and during the maintenance or repair, the system will instruct the on-site personnel step by step in accordance with a state of the tool machine maintained or repaired by the on-site personnel. If the maintenance causes are beyond the expected or predetermined states of the machine tool, the system will contact the expert (such as a vendor) and send operation states of the machine tool before malfunction to the expert, thereby enabling the expert to well know the operating information for effectively resolving the failure causes, i.e. the EG-AVR mode. After the EG-AVR mode begins, in addition to resolving the failure causes, the new contents of resolving the failure causes will be added to the standard operating procedure via the cloud layer, so as to provide a robust maintenance procedure.
  • the expert such as a vendor
  • AVR is a collective term of AR and VR. Both of the AR and VR are used for displaying a virtual world, but there are differences between them, in which the AR enables a virtual world and a physical world to be integrated and interactive by calculating the position and angle of an image captured by a camera in addition to an image analysis technology; and the VR generates a virtual world by computer simulation, thereby allowing a user to sense the environment with hearing and vision, such that the user may experience the environment personally and be free to observe the objects in the environment in time. Meanwhile, in the VR, when the user moves to a new position, the virtual scene is changed at the same time, thus providing the user with actual liveness.
  • FIG. 1 is a schematic diagram showing a system for machine tool maintenance and repair in accordance with some embodiments of the disclosure.
  • the system includes a cloud layer, a networking layer and a factory layer.
  • a human cyber physical system 100 is a cloud server disposed on the cloud layer.
  • the networking layer includes a gateway 110 and firewalls 112 and 114 for data transmission between the cloud layer and the factory layer.
  • a plant (on-site) and a remote-site are located on the factory layer.
  • An expert device 140 is located at the remote site for allowing an expert 142 to access data.
  • At least one cyber-physical agents (CPA) 120 a , 120 b and/or 120 c are disposed at the plant, in which each of the CPAs is in charge of one or more machine tools.
  • the CPA 120 a is in charge of the machine tools 122 a - 122 c ;
  • the CPA 120 b is in charge of the machine tools 124 a and 124 b ;
  • the CPA 120 c is in charge of the machine tool 126 , in which the machine tools 122 a - 122 c have the same machine type, and the machine tools 124 a and 124 b have the same machine type.
  • An on-site device 130 is disposed at the plant for allowing an on-site personal 132 to access data.
  • Plural sensors are installed on each of the machine tools 122 a / 122 b / 122 c , 124 a / 124 b , and 126 for collecting plural sets of state data of the machine tool that is in operation.
  • the machine tools 122 a / 122 b / 122 c are rotary machines
  • the sensors includes a dynamometer, an energy consumption sensor and a temperature sensor for detecting abnormalities and preventive maintenance of the machine tools.
  • the dynamometer is used to capture vibration signals of the rotary machine (mechanism), thereby detecting vibration frequencies of the rotary machine that is in operation, and determining the operation state of the rotary machine in accordance with magnitudes and wave forms of the vibration frequencies.
  • the energy consumption sensor is used to collect signals of voltage, current, power consumption, etc. of the machine tool that is in operation, and to diagnose the operating state of the machine tool.
  • the temperature sensor is used to determine the operating state of the machine tool when the rotary mechanism is in operation by detecting a temperature cure change of the machine tool.
  • the CPA 120 a integrates and weighted all the sensing information to evaluate the current states of the machine tool 122 a , 122 b or 122 c.
  • the human cyber physical system 100 includes a processor and a database.
  • the human cyber physical system has a visual initial-state model 102 a and a standard maintenance procedure 104 a , in which the processor builds plural component models of respective parts of the machine tool is built in accordance with measured dimension data of the parts of the machine tool 122 a / 122 b / 122 c , 124 a / 124 b , or 126 , and assembles the component models to form the visual initial-state model in accordance with exploded view data of the machine tool.
  • the processor analyzes periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building the standard maintenance procedure.
  • the machine tools 122 a , 122 b and 122 c have the same machine type, only one visual initial-state model 102 a and only one standard maintenance procedure 104 a are needed. Because the machine tools 124 a and 124 b have the same machine type, only one visual initial-state model 102 a and only one standard maintenance procedure 104 a are needed. The visual initial-state model 102 a and the standard maintenance procedure 104 a are stored into the database of the human cyber physical system 100 .
  • the CPAs 120 a , 120 b and 120 c are software or firmware circuits, and includes memories.
  • the CPAs 120 a , 120 b and 120 c are communicatively connected to the human cyber physical system 100 for receiving the standard maintenance procedure 104 a .
  • the CPA 120 a is communicatively connected to the machine tools 122 a , 122 b and 122 c for receiving the sets of state data collected by the corresponding sensors.
  • the CPA 120 b is communicatively connected to the machine tools 124 a and 124 b for receiving the sets of state data collected by the corresponding sensors.
  • the CPA 120 c is communicatively connected to the machine tool 126 for receiving the sets of state data collected by the corresponding sensors.
  • the CPA 120 a , 120 b or 120 c or the human cyber physical system 100 updates the visual initial-state model 102 a as a visual operating-state model 102 b in accordance with the sets of state data, and the CPA 120 a , 120 b or 120 c obtains an event standard maintenance procedure 104 b from the standard maintenance procedure 104 a in accordance with the sets of state data.
  • the visual initial-state model 102 a is first downloaded to the CPA 120 a , 120 b or 120 c , and then is updated as the visual operating-state model 102 b in the CPA 120 a , 120 b or 120 c , and thereafter the visual operating-state model 102 b is sent back to the human cyber physical system 100 .
  • the visual initial-state model 102 a is directly updated as the visual operating-state model 102 b in the human cyber physical system 100 , and then the visual operating-state model 102 b is downloaded to the CPA 120 a , 120 b or 120 c.
  • the on-site device 130 is communicatively connected to the CPA 120 a , 120 b or 120 c for enabling the on-site personnel 132 to access the visual operating-state model 102 b and the event standard maintenance procedure 104 b .
  • the expert device 140 is communicatively connected to the human cyber physical system 100 for enabling the expert 142 to access the visual operating-state model 102 b , in which the expert 142 enters an expert maintenance procedure 144 into the expert device 140 , and then the expert device 140 provides the expert maintenance procedure 144 to the on-site personnel 132 through the human cyber physical system 100 .
  • the on-site device 130 and the expert device 140 are VR devices or AR devices.
  • the processor of the human cyber physical system 100 can be realized by, for example, one or more processors, such as central processors and/or microprocessors, but are not limited in this regard.
  • the memory of the human cyber physical system 100 includes one or more memory devices, each of which comprises, or a plurality of which collectively comprise a computer readable storage medium.
  • the memory may include a read-only memory (ROM), a flash memory, a floppy disk, a hard disk, an optical disc, a flash disk, a flash drive, a tape, a database accessible from a network, or any storage medium with the same functionality that can be contemplated by persons of ordinary skill in the art to which this invention pertains.
  • Each of the on-site device 130 and the expert device 140 includes a display device and a controller.
  • the display device can be realized by, for example, a display, such as a liquid crystal display, or an active matrix organic light emitting display (AMOLED), but is not limited in this regard.
  • the controller can be realized by, for example, a handheld controller, such as a controller for Vive or a controller for Gear, but is not limited in this regard.
  • the CPA 120 a is used for explaining the SOP-AVR mode and the EG-AVR mode of the disclosure.
  • a 3-D model of the machine tool 126 is built. Before building the 3D model, dimensions of respective parts of the machine tool 126 are measured. Then, component models of the parts of the machine tool 126 are built. Thereafter, the component models are assembled under an AVR software environment in accordance with exploded view data of the machine tool, so as to form the visual initial-state model 102 a . Then, an operation is performed to set up motion states of the components, in which periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation (i.e. when the machine tool is being operated) are analyzed. After the periodical maintenance conditions and abnormal states listed, the standard maintenance procedure 104 a is built in accordance with the strategic analysis and discussion of the expected issues.
  • the CPA 120 c will automatically trigger an abnormal event and record the state history (state data) of the machine tool 126 .
  • the items include changes of application or operation states (such as various states of “Auto”, “Jog” or “MDI” (Manual Data Input)), user-defined triggers (such as M code), override changes, axial over-travel warnings and controller warnings.
  • the abnormal event includes an over-travel event, an over-heat event or an over-load event.
  • the CPA 120 c or the human cyber physical system 100 updates the visual initial-state model 102 a as the visual operating-state model 102 b in accordance with the sets of state data, and the CPA 120 c obtains the event standard maintenance procedure 104 b from the standard maintenance procedure 104 a in accordance with the sets of state data, in which the event standard maintenance procedure 104 b displays the trigger conditions and the problem solutions that are listed by features under the AVR environment, in which the display is designed to classify the malfunction categories by subjects, thereby allowing the on-site personnel 132 to conveniently inspect and resolve the malfunctions of the machine tool 126 under the AVR environment, After the malfunctions of the machine tool 126 are resolved, the sensors of the machine tool 126 will collected the update state data of the machine tool 126 and the visual operating-state model 102 b will be updated accordingly.
  • the aforementioned description is the explanation of the SOP-AVR mode.
  • the EG-AVR mode is activated by a trigger instruction under the SOP-AVR mode.
  • the on-site personnel 132 may select to activate the EG-AVR mode.
  • the EG-AVR mode brings two or more expert 142 and the on-site personnel 132 at different sites (the on-site and the remote-site) to one identical virtual display, thereby allowing them to discuss with respect to the same machine tool in the same display, in which sound and captions may added to the display, such as shown in FIG. 2 .
  • the expert 142 may speak through a microphone of the expert device 140 to say “Hello, this is a development engineer of this machine tool.”, and meanwhile, the on-site personnel 132 in the same VR environment may hear the voice of the expert 142 through a speaker of the on-site device 130 , and a dialog window may appear besides a virtual character representing the expert 142 , thereby displaying the captions.
  • the expert device 140 provides the expert maintenance procedure 144 to the on-site personnel 132 to resolve the malfunctions or emergencies that are not expected by the SOP-AVR mod, the expert maintenance procedure 144 is used to update synchronously the standard maintenance procedure 104 a corresponding to the machine tools having the same machine type with the machine tool 126 .
  • a method for machine tool maintenance and repair according to embodiments of the disclosure is explained hereinafter, in which the method is divided into a modeling stage, an operating stage and an updating stage.
  • FIG. 3A illustrates a schematic flow chart showing a method for machine tool maintenance and repair in the modeling stage according to some embodiments of the disclosure.
  • operation 310 is performed to install plural sensors on each of at least one machine tool for collecting plural sets of state data of the machine tool that is in operation.
  • Operation 312 is performed to build a visual initial-state model (state model) in accordance with a physical machine tool structure (measured dimension data of parts of the machine tool), assembling procedures (exploded view data of the machine tool), positions of the sensors and operating states.
  • Operation 314 is performed to analyze possible events of periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, so as to build SOP-VAR maintenance procedures for the respective events and then build a standard maintenance procedure, in which the SOP-VAR maintenance procedures includes sub-procedures of checking, disassembling and inspecting.
  • Operation 316 is performed to store the visual initial-state model and the standard maintenance procedure in a human cyber physical system.
  • FIG. 3B illustrates a schematic flow chart showing a method for machine tool maintenance and repair in the operating stage according to some embodiments of the disclosure.
  • operation 320 is performed to communicatively connect a CPA to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data collected by the sensors of the machine tool that is in operation.
  • the CPA may automatically record the operating history of the machine tool and synchronously updates the visual initial-state model as a visual operating-state model.
  • operation 322 is performed to communicatively connect an on-site device to the CPA for enabling an on-site personnel to access the visual operating-state model and to obtain an event standard maintenance procedure from the standard maintenance procedure.
  • the on-site personnel first handles the abnormal machine tool in accordance with a SOP-AVR maintenance procedure (the standard maintenance procedure) suggested by the CPA. If the SOP-AVR maintenance procedure fails to resolve the problems of the machine tool, operation 324 is performed to communicatively connect an expert device to the human cyber physical system for enabling an expert to access the visual operating-state model. After the communication between the CPA and the human cyber physical system is built, the on-site personnel and the expert at the remote-site may be collaborated together to perform maintenance and repair on the machine tool.
  • operation 326 in which the expert enters an expert maintenance procedure into the expert device, and then the expert device uploads the expert maintenance procedure to the human cyber physical system, thereby enabling the on-site personnel to access the expert maintenance procedure through the on-site device.
  • the expert may simulate the maintenance procedures under various conditions by using the visual operating-state model, for example, changing the order of different axial motors, so as to inspect the causes of abnormality of the machine tool.
  • the human cyber physical system will instruct the on-site personnel with the simulated maintenance steps of the machine tool (the expert maintenance procedure) step by step.
  • the method enters the updating stage to update the standard maintenance procedure synchronously by using the expert maintenance procedure, such as shown in operation 330 of FIG. 3C .
  • the maintenance time is shortened by using a VR manner or an AR manner, and a cyber physical agent (CPA) is used to simultaneously monitor and repair plural machines of the same machine type.
  • CPA cyber physical agent

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Automation & Control Theory (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Manufacturing & Machinery (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Analytical Chemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biochemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Optics & Photonics (AREA)
  • General Engineering & Computer Science (AREA)
  • Machine Tool Sensing Apparatuses (AREA)
  • Stored Programmes (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Testing And Monitoring For Control Systems (AREA)
  • Numerical Control (AREA)
  • Automatic Control Of Machine Tools (AREA)

Abstract

A system and a method for machine tool maintenance and repair is provided for allowing an expert at a remote site to collaborate with an on-site personnel to maintain or repair a physical machine in a manner of combining the physical machine with a virtual reality (VR) model or an augmented reality (AR) model. Two maintenance modes are provided, which are an augmented virtual reality model guided by a standard operation procedure (referred as a SOP-AVR mode), and an augmented virtual reality model guided by an expert operation procedure (referred as an EG-AVR mode). A cyber physical agent (CPA) is adopted for simultaneously monitoring and repairing plural machines of the same machine type.

Description

    RELATED APPLICATIONS
  • This application claims the benefit of the Provisional Application Ser. No. 62/475,889, filed on Mar. 24, 2017. The entire disclosures of all the above applications are hereby incorporated by reference herein.
  • BACKGROUND Field of Invention
  • The disclosure relates to a system and a method for machine tool maintenance and repair, and more particularly, to a system and a method for machine tool maintenance and repair by using a virtual reality (VR) or augmented reality (AR) technology.
  • Description of Related Art
  • In an after-sale service, maintenance and repair is an important task provided to a client after a machine tool is delivered, and machine malfunctions often interrupt the production at the client side, thus resulting in cost loss.
  • In general, a conventional tool maintenance method still relies on an electronic or paper manual for inspecting a machine tool, and sometimes a maintenance instruction film may be recorded and provided for teaching and enabling a maintenance personnel to perform tool maintenance and repair by using audio-video instructions besides literal instructions. For example, when a spindle of a machine tool is out of order, maintenance personnel may first look for the maintenance data of the spindle for inspecting the spindle, and thus the maintenance personnel has to look up in the manuals to find out the solutions according to the actual failure causes of the spindle. However, this convention tool maintenance and repair method merely has literal descriptions with few corresponding photos, and thus it takes a lot of time for a maintenance notice to recover the spindle. When being shown in a video mode (maintenance film), the maintenance data may be shown by using images, sound and words. However, the maintenance film shows all the problems linking to the solutions, such that the maintenance personnel will have difficulty in finding main points for processing, thus prolonging the maintenance time.
  • On the other hand, a processing plant generally has several machine tools using the same cutting tool product (type). It takes a lot of time to judge the abnormal statuses of the machine tools one by one, and it is quite likely to make wrong judgements. Hence, there is need to develop and provide a method for simultaneously monitoring and maintaining several machine tools.
  • SUMMARY
  • An object of the disclosure is to provide a system and a method for machine tool maintenance and repair, thereby shortening the maintenance time by using a virtual reality (VR) manner or an augmented reality (AR) manner.
  • Another object of the disclosure is to provide a system and a method for machine tool maintenance and repair, thereby using a cyber physical agent (CPA) to simultaneously monitor and repair plural machines of the same machine type.
  • According to the aforementioned objects, an aspect of the disclosure is to provide a system for machine tool maintenance and repair, the system includes at least one machine tool, a human cyber physical system, a cyber-physical agent (CPA) and an on-site device. Plural sensors are installed on each of the at least one machine tool for collecting plural sets of state data of the machine tool that is in operation, and the at least one machine tool has the same tool type. The human cyber physical system has a visual initial-state model and a standard maintenance procedure, in which plural component models of respective parts of the machine tool are built in accordance with measured dimension data of the parts of the machine tool, and the component models are assembled to form the visual initial-state model in accordance with exploded view data of the machine tool. The human cyber physical system analyzes periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building the standard maintenance procedure. The CPA is communicatively connected to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data, in which the CPA or the human cyber physical system updates the visual initial-state model as a visual operating-state model in accordance with the sets of state data, and the CPA obtains an event standard maintenance procedure from the standard maintenance procedure in accordance with the sets of state data. The on-site device is communicatively connected to the CPA for enabling an on-site personnel to access the visual operating-state model and the event standard maintenance procedure.
  • In some embodiments, the aforementioned system further includes an expert device communicatively connected to the human cyber physical system for enabling an expert to access the visual operating-state model, in which the expert device provides an expert maintenance procedure to the on-site personnel.
  • In some embodiments, the visual initial-state model and the visual operating-state model are VR models or AR models, and the on-site device and the expert device are VR devices or AR devices.
  • In some embodiments, the at least one machine tool is a rotary machine, and the sensors includes a dynamometer, an energy consumption sensor and a temperature sensor.
  • In some embodiments, the aforementioned system further includes a cloud layer, a networking layer and a factory layer. The cloud layer includes the human cyber physical system, the factory layer includes the at least one machine tool and the CPA, and the networking layer communicatively connects the factory layer to the cloud layer.
  • According to the aforementioned objects, another aspect of the disclosure is to provide a method for machine tool maintenance and repair. the method includes installing plural sensors on each of at least one machine tool for collecting a plurality of sets of state data of the machine tool that is in operation; building plural component models of respective parts of the machine tool in accordance with measured dimension data of the parts of the machine tool, and assembling the component models are assembled to form a visual initial-state model in accordance with exploded view data of the machine tool; analyzing periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building a standard maintenance procedure; storing the visual initial-state model and the standard maintenance procedure in a human cyber physical system; communicatively connecting a cyber-physical agent (CPA) to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data; updating the visual initial-state model as a visual operating-state model in accordance with the sets of state data, and obtaining an event standard maintenance procedure from the standard maintenance procedure in accordance with the sets of state data; and communicatively connecting an on-site device to the CPA for enabling an on-site personnel to access the visual operating-state model and the event standard maintenance procedure.
  • In some embodiments, in the aforementioned method, an expert device is communicatively connected to the human cyber physical system for enabling an expert to access the visual operating-state model, and the expert enters an expert maintenance procedure into the expert device, and the expert device uploads the expert maintenance procedure to the human cyber physical system, thereby enabling the on-site personnel to access the expert maintenance procedure through the on-site device.
  • In some embodiments, the aforementioned method further includes disposing the human cyber physical system in a cloud layer; disposing the at least one machine tool and the CPA in a factory layer; and communicatively connecting the factory layer to the cloud layer via a networking layer.
  • Thus, with the applications of the embodiments of the disclosure, the maintenance time can be shortened by using a VR manner or an AR manner, and a cyber physical agent (CPA) can be used to simultaneously monitor and repair plural machines of the same machine type.
  • It is to be understood that both the foregoing general description and the following detailed description are by examples, and are intended to provide further explanation of the invention as claimed.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • The invention can be more fully understood by reading the following detailed description of the embodiment, with reference made to the accompanying drawings as follows:
  • FIG. 1 is a schematic diagram showing a system for machine tool maintenance and repair in accordance with some embodiments of the disclosure;
  • FIG. 2 is a schematic diagram explaining a SOP-AVR mode and an EG-AVR mode for machine tool maintenance and repair in accordance with some embodiments of the disclosure;
  • FIG. 3A illustrates a schematic flow chart showing a method for machine tool maintenance and repair in a modeling stage according to some embodiments of the disclosure;
  • FIG. 3B illustrates a schematic flow chart showing a method for machine tool maintenance and repair in an operating stage according to some embodiments of the disclosure; and
  • FIG. 3C illustrates a schematic flow chart showing a method for machine tool maintenance and repair in an updating stage according to some embodiments of the disclosure.
  • DETAILED DESCRIPTION
  • Reference will now be made in detail to the present embodiments of the invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the description to refer to the same or like parts.
  • Embodiments of the disclosure provide a system and a method for machine tool maintenance and repair, thereby enabling an expert at a remote site to collaborate with an on-site personnel located beside a machine tool to maintain or repair the machine tool by integrating a VR or AR model with the physical machine tool. Embodiments of the disclosure provide two maintenance modes which are an augmented virtual reality model guided by a standard operation procedure (referred as a SOP-AVR mode), and an augmented virtual reality model guided by an expert operation procedure (referred as an EG-AVR mode). In the SOP-AVR mode, if the maintenance causes and items belong to known standard operation procedures, the on-site personnel enters a maintenance instruction mode to perform maintenance or repair, and during the maintenance or repair, the system will instruct the on-site personnel step by step in accordance with a state of the tool machine maintained or repaired by the on-site personnel. If the maintenance causes are beyond the expected or predetermined states of the machine tool, the system will contact the expert (such as a vendor) and send operation states of the machine tool before malfunction to the expert, thereby enabling the expert to well know the operating information for effectively resolving the failure causes, i.e. the EG-AVR mode. After the EG-AVR mode begins, in addition to resolving the failure causes, the new contents of resolving the failure causes will be added to the standard operating procedure via the cloud layer, so as to provide a robust maintenance procedure.
  • AVR is a collective term of AR and VR. Both of the AR and VR are used for displaying a virtual world, but there are differences between them, in which the AR enables a virtual world and a physical world to be integrated and interactive by calculating the position and angle of an image captured by a camera in addition to an image analysis technology; and the VR generates a virtual world by computer simulation, thereby allowing a user to sense the environment with hearing and vision, such that the user may experience the environment personally and be free to observe the objects in the environment in time. Meanwhile, in the VR, when the user moves to a new position, the virtual scene is changed at the same time, thus providing the user with actual liveness.
  • Referring to FIG. 1, FIG. 1 is a schematic diagram showing a system for machine tool maintenance and repair in accordance with some embodiments of the disclosure. As shown in FIG. 1, the system includes a cloud layer, a networking layer and a factory layer. A human cyber physical system 100 is a cloud server disposed on the cloud layer. The networking layer includes a gateway 110 and firewalls 112 and 114 for data transmission between the cloud layer and the factory layer. A plant (on-site) and a remote-site are located on the factory layer. An expert device 140 is located at the remote site for allowing an expert 142 to access data. At least one cyber-physical agents (CPA) 120 a, 120 b and/or 120 c are disposed at the plant, in which each of the CPAs is in charge of one or more machine tools. For example, the CPA 120 a is in charge of the machine tools 122 a-122 c; the CPA 120 b is in charge of the machine tools 124 a and 124 b; and the CPA 120 c is in charge of the machine tool 126, in which the machine tools 122 a-122 c have the same machine type, and the machine tools 124 a and 124 b have the same machine type. An on-site device 130 is disposed at the plant for allowing an on-site personal 132 to access data.
  • Plural sensors are installed on each of the machine tools 122 a/122 b/122 c, 124 a/124 b, and 126 for collecting plural sets of state data of the machine tool that is in operation. In one embodiment, the machine tools 122 a/122 b/122 c are rotary machines, and the sensors includes a dynamometer, an energy consumption sensor and a temperature sensor for detecting abnormalities and preventive maintenance of the machine tools. The dynamometer is used to capture vibration signals of the rotary machine (mechanism), thereby detecting vibration frequencies of the rotary machine that is in operation, and determining the operation state of the rotary machine in accordance with magnitudes and wave forms of the vibration frequencies. The energy consumption sensor is used to collect signals of voltage, current, power consumption, etc. of the machine tool that is in operation, and to diagnose the operating state of the machine tool. The temperature sensor is used to determine the operating state of the machine tool when the rotary mechanism is in operation by detecting a temperature cure change of the machine tool. The CPA 120 a integrates and weighted all the sensing information to evaluate the current states of the machine tool 122 a, 122 b or 122 c.
  • The human cyber physical system 100 includes a processor and a database. The human cyber physical system has a visual initial-state model 102 a and a standard maintenance procedure 104 a, in which the processor builds plural component models of respective parts of the machine tool is built in accordance with measured dimension data of the parts of the machine tool 122 a/122 b/122 c, 124 a/124 b, or 126, and assembles the component models to form the visual initial-state model in accordance with exploded view data of the machine tool. The processor analyzes periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building the standard maintenance procedure. Because the machine tools 122 a, 122 b and 122 c have the same machine type, only one visual initial-state model 102 a and only one standard maintenance procedure 104 a are needed. Because the machine tools 124 a and 124 b have the same machine type, only one visual initial-state model 102 a and only one standard maintenance procedure 104 a are needed. The visual initial-state model 102 a and the standard maintenance procedure 104 a are stored into the database of the human cyber physical system 100.
  • The CPAs 120 a, 120 b and 120 c are software or firmware circuits, and includes memories. The CPAs 120 a, 120 b and 120 c are communicatively connected to the human cyber physical system 100 for receiving the standard maintenance procedure 104 a. The CPA 120 a is communicatively connected to the machine tools 122 a, 122 b and 122 c for receiving the sets of state data collected by the corresponding sensors. The CPA 120 b is communicatively connected to the machine tools 124 a and 124 b for receiving the sets of state data collected by the corresponding sensors. The CPA 120 c is communicatively connected to the machine tool 126 for receiving the sets of state data collected by the corresponding sensors. The CPA 120 a, 120 b or 120 c or the human cyber physical system 100 updates the visual initial-state model 102 a as a visual operating-state model 102 b in accordance with the sets of state data, and the CPA 120 a, 120 b or 120 c obtains an event standard maintenance procedure 104 b from the standard maintenance procedure 104 a in accordance with the sets of state data. In one embodiment, the visual initial-state model 102 a is first downloaded to the CPA 120 a, 120 b or 120 c, and then is updated as the visual operating-state model 102 b in the CPA 120 a, 120 b or 120 c, and thereafter the visual operating-state model 102 b is sent back to the human cyber physical system 100. In the other embodiment, the visual initial-state model 102 a is directly updated as the visual operating-state model 102 b in the human cyber physical system 100, and then the visual operating-state model 102 b is downloaded to the CPA 120 a, 120 b or 120 c.
  • The on-site device 130 is communicatively connected to the CPA 120 a, 120 b or 120 c for enabling the on-site personnel 132 to access the visual operating-state model 102 b and the event standard maintenance procedure 104 b. The expert device 140 is communicatively connected to the human cyber physical system 100 for enabling the expert 142 to access the visual operating-state model 102 b, in which the expert 142 enters an expert maintenance procedure 144 into the expert device 140, and then the expert device 140 provides the expert maintenance procedure 144 to the on-site personnel 132 through the human cyber physical system 100. The on-site device 130 and the expert device 140 are VR devices or AR devices.
  • In one embodiment, the processor of the human cyber physical system 100 can be realized by, for example, one or more processors, such as central processors and/or microprocessors, but are not limited in this regard. In one embodiment, the memory of the human cyber physical system 100 includes one or more memory devices, each of which comprises, or a plurality of which collectively comprise a computer readable storage medium. The memory may include a read-only memory (ROM), a flash memory, a floppy disk, a hard disk, an optical disc, a flash disk, a flash drive, a tape, a database accessible from a network, or any storage medium with the same functionality that can be contemplated by persons of ordinary skill in the art to which this invention pertains. Each of the on-site device 130 and the expert device 140 includes a display device and a controller. The display device can be realized by, for example, a display, such as a liquid crystal display, or an active matrix organic light emitting display (AMOLED), but is not limited in this regard. The controller can be realized by, for example, a handheld controller, such as a controller for Vive or a controller for Gear, but is not limited in this regard.
  • Hereinafter, the CPA 120 a is used for explaining the SOP-AVR mode and the EG-AVR mode of the disclosure. At first, a 3-D model of the machine tool 126 is built. Before building the 3D model, dimensions of respective parts of the machine tool 126 are measured. Then, component models of the parts of the machine tool 126 are built. Thereafter, the component models are assembled under an AVR software environment in accordance with exploded view data of the machine tool, so as to form the visual initial-state model 102 a. Then, an operation is performed to set up motion states of the components, in which periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation (i.e. when the machine tool is being operated) are analyzed. After the periodical maintenance conditions and abnormal states listed, the standard maintenance procedure 104 a is built in accordance with the strategic analysis and discussion of the expected issues.
  • When the following items occur during the operation of the machine tool 126, the CPA 120 c will automatically trigger an abnormal event and record the state history (state data) of the machine tool 126. The items include changes of application or operation states (such as various states of “Auto”, “Jog” or “MDI” (Manual Data Input)), user-defined triggers (such as M code), override changes, axial over-travel warnings and controller warnings. The abnormal event includes an over-travel event, an over-heat event or an over-load event. The CPA 120 c or the human cyber physical system 100 updates the visual initial-state model 102 a as the visual operating-state model 102 b in accordance with the sets of state data, and the CPA 120 c obtains the event standard maintenance procedure 104 b from the standard maintenance procedure 104 a in accordance with the sets of state data, in which the event standard maintenance procedure 104 b displays the trigger conditions and the problem solutions that are listed by features under the AVR environment, in which the display is designed to classify the malfunction categories by subjects, thereby allowing the on-site personnel 132 to conveniently inspect and resolve the malfunctions of the machine tool 126 under the AVR environment, After the malfunctions of the machine tool 126 are resolved, the sensors of the machine tool 126 will collected the update state data of the machine tool 126 and the visual operating-state model 102 b will be updated accordingly. The aforementioned description is the explanation of the SOP-AVR mode.
  • Hereinafter, the EG-AVR mode is explained. The EG-AVR mode is activated by a trigger instruction under the SOP-AVR mode. When the malfunction of the machine tool 126 is beyond that listed or expected in the SOP-AVR mode, the on-site personnel 132 may select to activate the EG-AVR mode. The EG-AVR mode brings two or more expert 142 and the on-site personnel 132 at different sites (the on-site and the remote-site) to one identical virtual display, thereby allowing them to discuss with respect to the same machine tool in the same display, in which sound and captions may added to the display, such as shown in FIG. 2. For example, the expert 142 may speak through a microphone of the expert device 140 to say “Hello, this is a development engineer of this machine tool.”, and meanwhile, the on-site personnel 132 in the same VR environment may hear the voice of the expert 142 through a speaker of the on-site device 130, and a dialog window may appear besides a virtual character representing the expert 142, thereby displaying the captions. After the expert device 140 provides the expert maintenance procedure 144 to the on-site personnel 132 to resolve the malfunctions or emergencies that are not expected by the SOP-AVR mod, the expert maintenance procedure 144 is used to update synchronously the standard maintenance procedure 104 a corresponding to the machine tools having the same machine type with the machine tool 126.
  • A method for machine tool maintenance and repair according to embodiments of the disclosure is explained hereinafter, in which the method is divided into a modeling stage, an operating stage and an updating stage.
  • Referring to FIG. 3A, FIG. 3A illustrates a schematic flow chart showing a method for machine tool maintenance and repair in the modeling stage according to some embodiments of the disclosure. In the modeling stage, operation 310 is performed to install plural sensors on each of at least one machine tool for collecting plural sets of state data of the machine tool that is in operation. Operation 312 is performed to build a visual initial-state model (state model) in accordance with a physical machine tool structure (measured dimension data of parts of the machine tool), assembling procedures (exploded view data of the machine tool), positions of the sensors and operating states. Operation 314 is performed to analyze possible events of periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, so as to build SOP-VAR maintenance procedures for the respective events and then build a standard maintenance procedure, in which the SOP-VAR maintenance procedures includes sub-procedures of checking, disassembling and inspecting. Operation 316 is performed to store the visual initial-state model and the standard maintenance procedure in a human cyber physical system.
  • Referring to FIG. 3B, FIG. 3B illustrates a schematic flow chart showing a method for machine tool maintenance and repair in the operating stage according to some embodiments of the disclosure. In the operating stage, operation 320 is performed to communicatively connect a CPA to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data collected by the sensors of the machine tool that is in operation. Through the sensors of the machine tool, the CPA may automatically record the operating history of the machine tool and synchronously updates the visual initial-state model as a visual operating-state model. When the machine tool is abnormal, operation 322 is performed to communicatively connect an on-site device to the CPA for enabling an on-site personnel to access the visual operating-state model and to obtain an event standard maintenance procedure from the standard maintenance procedure. Meanwhile, the on-site personnel first handles the abnormal machine tool in accordance with a SOP-AVR maintenance procedure (the standard maintenance procedure) suggested by the CPA. If the SOP-AVR maintenance procedure fails to resolve the problems of the machine tool, operation 324 is performed to communicatively connect an expert device to the human cyber physical system for enabling an expert to access the visual operating-state model. After the communication between the CPA and the human cyber physical system is built, the on-site personnel and the expert at the remote-site may be collaborated together to perform maintenance and repair on the machine tool. Thereafter, operation 326 is performed, in which the expert enters an expert maintenance procedure into the expert device, and then the expert device uploads the expert maintenance procedure to the human cyber physical system, thereby enabling the on-site personnel to access the expert maintenance procedure through the on-site device. In operation 326, the expert may simulate the maintenance procedures under various conditions by using the visual operating-state model, for example, changing the order of different axial motors, so as to inspect the causes of abnormality of the machine tool. Then, the human cyber physical system will instruct the on-site personnel with the simulated maintenance steps of the machine tool (the expert maintenance procedure) step by step.
  • If the result of maintenance and repair does not meet the expectation of the expert maintenance procedure, then the expert is asked to provide another suggestion. If the result of maintenance and repair meets the expectation of the expert maintenance procedure, the method enters the updating stage to update the standard maintenance procedure synchronously by using the expert maintenance procedure, such as shown in operation 330 of FIG. 3C.
  • It can be known from the aforementioned embodiments that, the maintenance time is shortened by using a VR manner or an AR manner, and a cyber physical agent (CPA) is used to simultaneously monitor and repair plural machines of the same machine type.
  • It will be apparent to those skilled in the art that various modifications and variations can be made to the structure of the disclosure without departing from the scope or spirit of the invention. In view of the foregoing, it is intended that the disclosure cover modifications and variations of this invention provided they fall within the scope of the following claims.

Claims (10)

What is claimed is:
1. A system for machine tool maintenance and repair, the system comprising:
at least one machine tool, wherein a plurality of sensors are installed on each of the at least one machine tool for collecting a plurality of sets of state data of the machine tool that is in operation, and the at least one machine tool has the same tool type;
a human cyber physical system having a visual initial-state model and a standard maintenance procedure, wherein a plurality of component models of respective parts of the machine tool are built in accordance with measured dimension data of the parts of the machine tool, and the component models are assembled to form the visual initial-state model in accordance with exploded view data of the machine tool; and the human cyber physical system analyzes periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building the standard maintenance procedure;
a cyber-physical agent (CPA) communicatively connected to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data, wherein the CPA or the human cyber physical system updates the visual initial-state model as a visual operating-state model in accordance with the sets of state data, and the CPA obtains an event standard maintenance procedure from the standard maintenance procedure in accordance with the sets of state data; and
an on-site device communicatively connected to the CPA for enabling an on-site personnel to access the visual operating-state model and the event standard maintenance procedure.
2. The system of claim 1, further comprising:
an expert device communicatively connected to the human cyber physical system for enabling an expert to access the visual operating-state model, wherein the expert device provides an expert maintenance procedure to the on-site personnel.
3. The system of claim 1, wherein the visual initial-state model and the visual operating-state model are virtual reality (VR) models or augmented reality (AR) models, and the on-site device and the expert device are VR devices or AR devices.
4. The system of claim 1, wherein the at least one machine tool is a rotary machine, and the sensors comprises a dynamometer, an energy consumption sensor and a temperature sensor.
5. The system of claim 1, further comprising:
a cloud layer comprising the human cyber physical system;
a factory layer comprising the at least one machine tool and the CPA; and
a networking layer communicatively connecting the factory layer to the cloud layer.
6. A method for machine tool maintenance and repair, the method comprising:
installing a plurality of sensors on each of at least one machine tool for collecting a plurality of sets of state data of the machine tool that is in operation;
building a plurality of component models of respective parts of the machine tool in accordance with measured dimension data of the parts of the machine tool, and assembling the component models are assembled to form a visual initial-state model in accordance with exploded view data of the machine tool;
analyzing periodical maintenance conditions and abnormal states encountered by the machine tool that is in operation, thereby building a standard maintenance procedure;
storing the visual initial-state model and the standard maintenance procedure in a human cyber physical system;
communicatively connecting a cyber-physical agent (CPA) to the at least one machine tool and the human cyber physical system for receiving the standard maintenance procedure and the sets of state data;
updating the visual initial-state model as a visual operating-state model in accordance with the sets of state data, and obtaining an event standard maintenance procedure from the standard maintenance procedure in accordance with the sets of state data; and
communicatively connecting an on-site device to the CPA for enabling an on-site personnel to access the visual operating-state model and the event standard maintenance procedure.
7. The method of claim 6, further comprising:
communicatively connecting an expert device to the human cyber physical system for enabling an expert to access the visual operating-state model;
entering, by the expert, an expert maintenance procedure into the expert device; and
uploading, by the expert device, the expert maintenance procedure to the human cyber physical system, thereby enabling the on-site personnel to access the expert maintenance procedure through the on-site device.
8. The method of claim 7, wherein the visual initial-state model and the visual operating-state model are VR models or AR models, and the on-site device and the expert device are VR devices or AR devices.
9. The method of claim 6, further comprising:
disposing the human cyber physical system in a cloud layer;
disposing the at least one machine tool and the CPA in a factory layer; and
communicatively connecting the factory layer to the cloud layer via a networking layer.
10. The method of claim 6, wherein the at least one machine tool is a rotary machine, and the sensors comprises a dynamometer, an energy consumption sensor and a temperature sensor.
US15/933,379 2017-03-24 2018-03-23 System and method for machine tool maintenance and repair Abandoned US20180275630A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US15/933,379 US20180275630A1 (en) 2017-03-24 2018-03-23 System and method for machine tool maintenance and repair

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201762475889P 2017-03-24 2017-03-24
US15/933,379 US20180275630A1 (en) 2017-03-24 2018-03-23 System and method for machine tool maintenance and repair

Publications (1)

Publication Number Publication Date
US20180275630A1 true US20180275630A1 (en) 2018-09-27

Family

ID=63581509

Family Applications (3)

Application Number Title Priority Date Filing Date
US15/928,104 Active 2038-06-14 US10618137B2 (en) 2017-03-24 2018-03-22 Automated constructing method of cloud manufacturing service and cloud manufacturing system
US15/933,380 Active 2038-07-11 US10695884B2 (en) 2017-03-24 2018-03-23 Tool wear monitoring and predicting method
US15/933,379 Abandoned US20180275630A1 (en) 2017-03-24 2018-03-23 System and method for machine tool maintenance and repair

Family Applications Before (2)

Application Number Title Priority Date Filing Date
US15/928,104 Active 2038-06-14 US10618137B2 (en) 2017-03-24 2018-03-22 Automated constructing method of cloud manufacturing service and cloud manufacturing system
US15/933,380 Active 2038-07-11 US10695884B2 (en) 2017-03-24 2018-03-23 Tool wear monitoring and predicting method

Country Status (3)

Country Link
US (3) US10618137B2 (en)
CN (3) CN108628661B (en)
TW (3) TWI670672B (en)

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110472774A (en) * 2019-07-19 2019-11-19 西北工业大学 Variable working condition bottom tool method for predicting residual useful life based on LSTM network
US20200111689A1 (en) * 2018-10-09 2020-04-09 Applied Materials, Inc. Adaptive control of wafer-to-wafer variability in device performance in advanced semiconductor processes
US10705514B2 (en) 2018-10-09 2020-07-07 Applied Materials, Inc. Adaptive chamber matching in advanced semiconductor process control
JP2020170392A (en) * 2019-04-04 2020-10-15 ファナック株式会社 Numerical control device and numerical control system
EP3742247A1 (en) * 2019-05-23 2020-11-25 SCM Group S.p.A. System and method for managing the maintenance of machining centers, machines and the like
US10929586B2 (en) * 2018-10-09 2021-02-23 Applied Materials, Inc. Predictive spatial digital design of experiment for advanced semiconductor process optimization and control
US11112135B2 (en) * 2018-11-09 2021-09-07 Johnson Controls Technology Company Maintenance procedure updating in HVAC system service log
US20210302945A1 (en) * 2020-03-25 2021-09-30 Fujifilm Business Innovation Corp. Information processing apparatus, information processing system, and non-transitory computer readable medium storing program
CN113458873A (en) * 2021-07-01 2021-10-01 太原科技大学 Method for predicting wear loss and residual life of cutter
CN114585326A (en) * 2019-11-01 2022-06-03 登士柏西诺德公司 Dental machining system for predicting wear condition of dental tool
CN114871850A (en) * 2022-04-22 2022-08-09 浙江大学 Cutter wear state evaluation method based on vibration signal and BP neural network
CN114952420A (en) * 2022-05-23 2022-08-30 大连理工大学 Wear prediction calculation method for milling CFRP (carbon fiber reinforced plastics) of ball end mill based on path dispersion
CN115157005A (en) * 2022-08-12 2022-10-11 华侨大学 Cutter wear monitoring method, device, equipment and storage medium based on strain
US11604456B2 (en) * 2020-03-11 2023-03-14 Ford Global Technologies, Llc System for monitoring machining processes of a computer numerical control machine
CN116551467A (en) * 2023-07-05 2023-08-08 南京维拓科技股份有限公司 Cutter abrasion state identification method based on internet of things monitoring data
US11869278B2 (en) * 2017-11-27 2024-01-09 Lenze Automation Gmbh Method for determining a status of one of multiple machine components of a machine and status-determining system

Families Citing this family (66)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2018231363A1 (en) 2017-06-15 2018-12-20 Drillscan France Sas Generating drilling paths using a drill model
US11445651B2 (en) * 2018-02-16 2022-09-13 Fuji Corporation Substrate work system
CN108776444B (en) * 2018-05-25 2021-09-03 江西博异自动化科技有限公司 Augmented reality man-machine interaction system suitable for CPS automation control system
JP6980929B2 (en) * 2018-09-18 2021-12-15 株式会社日立国際電気 Software defined radio
US11630435B2 (en) * 2018-10-12 2023-04-18 Tata Consultancy Services Limited Method and system for monitoring tool wear to estimate RUL of tool in machining
CN109249284B (en) * 2018-10-15 2019-07-23 基准精密工业(惠州)有限公司 Tool sharpening parameter compensation device and method
US11496584B2 (en) 2018-12-06 2022-11-08 Sap Se Extraction and distribution of content packages in a digital services framework
US11394626B2 (en) * 2018-12-06 2022-07-19 Sap Se Digital services framework
CN109648397B (en) * 2018-12-07 2020-01-21 杭州电子科技大学 Broach life prediction method based on correlation between width of cutting edge strip and broaching load
CN111381556A (en) * 2018-12-29 2020-07-07 鸿富锦精密电子(成都)有限公司 Processing equipment error correction method and system
CN111381563B (en) * 2018-12-29 2023-08-15 鸿富锦精密电子(成都)有限公司 Error correction method and system for processing equipment
TW202026096A (en) * 2019-01-02 2020-07-16 財團法人工業技術研究院 Tool life prediction system and method thereof
CN111429395A (en) * 2019-01-08 2020-07-17 鸿富锦精密电子(成都)有限公司 Tool life prediction method, device and computer storage medium
US11015323B2 (en) * 2019-02-07 2021-05-25 Caterpillar Inc. System and method for determining usage of work implement
TWI712938B (en) * 2019-02-18 2020-12-11 台灣松下電器股份有限公司 Auxiliary teaching method for product installation and portable electronic device
TWI791949B (en) * 2019-03-15 2023-02-11 日商住友重機械工業股份有限公司 Monitoring device, display device, monitoring method, and monitoring program
TWI708197B (en) * 2019-04-26 2020-10-21 國立成功大學 Predictive maintenance method for component of production tool and computer program product thereof
TWI716880B (en) * 2019-05-22 2021-01-21 施耐德電機股份有限公司 Classification models of cutting tool wear as well as training methods and evaluation methods of cutting tool wear and computer program product based thereon
TWI687277B (en) * 2019-05-24 2020-03-11 國立虎尾科技大學 Tool wear prediction method
TWI695286B (en) * 2019-05-24 2020-06-01 國立虎尾科技大學 Cutting dynamic simulation method
CN110263474A (en) * 2019-06-27 2019-09-20 重庆理工大学 A kind of cutter life real-time predicting method of numerically-controlled machine tool
TWI724467B (en) * 2019-07-19 2021-04-11 國立中興大學 The diagnosis method of machine ageing
CN110378045A (en) * 2019-07-24 2019-10-25 湘潭大学 A kind of pre- maintaining method of guide precision based on deep learning
DE102019211656A1 (en) * 2019-08-02 2021-02-04 Siemens Aktiengesellschaft Determination of the degree of wear of a tool
CN110488753B (en) * 2019-08-29 2020-11-24 山东大学 Periscopic detection mechanism, prediction system and method for cyclone milling cutter
CN112631370B (en) * 2019-09-24 2024-10-18 旺捷智能感知股份有限公司 Machine focus analysis system and wearable device with machine focus analysis function
TWI725552B (en) * 2019-09-24 2021-04-21 旺捷智能感知股份有限公司 Machine failure analyzing system and wearable electronic device having machine failure analyzing function
CN112785006A (en) * 2019-10-22 2021-05-11 捷普电子(广州)有限公司 Machine equipment state monitoring system and method, computer readable storage medium
CN111300146B (en) * 2019-11-29 2021-04-02 上海交通大学 Numerical control machine tool cutter abrasion loss online prediction method based on spindle current and vibration signal
AU2020267181A1 (en) * 2019-12-06 2021-06-24 Techtronic Cordless Gp Power tool element indicating system and method
JP2023506457A (en) 2019-12-10 2023-02-16 バーンズ グループ インコーポレーテッド Wireless sensor, storage medium and smart device application method
CN111242202B (en) * 2020-01-07 2022-03-08 燕山大学 Method for monitoring wear state of turning tool based on metric learning
US11219978B2 (en) * 2020-02-26 2022-01-11 Ritesafety Products Int'l, Llc Utility knife with a replacement blade and a system and method for determining the end of life of the blade
TWI775059B (en) * 2020-03-18 2022-08-21 百德機械股份有限公司 Tool wear prediction system using evolutionary fuzzy neural network and method thereof
TWI792011B (en) * 2020-06-24 2023-02-11 財團法人精密機械研究發展中心 Adaptive model adjustment system of tool life prediction model and method thereof
JP6966604B1 (en) * 2020-07-07 2021-11-17 Dmg森精機株式会社 Machine tools, machine tool control methods, and machine tool control programs
US20220091860A1 (en) * 2020-09-18 2022-03-24 Salesforce.Com, Inc. Integrating learning data provided by an external learning platform to create a custom learner experience within the context of an application provided by a cloud computing platform
TWI810486B (en) * 2020-09-21 2023-08-01 國立虎尾科技大學 Augmented reality real-time interactive service sales and maintenance system
JP7443213B2 (en) * 2020-09-28 2024-03-05 株式会社日立製作所 Tool condition detection system
TW202216353A (en) * 2020-10-20 2022-05-01 財團法人工業技術研究院 Method and system of tool status detection
TWI810502B (en) 2020-12-11 2023-08-01 財團法人工業技術研究院 Motion control system and method
US20220187798A1 (en) * 2020-12-15 2022-06-16 University Of Cincinnati Monitoring system for estimating useful life of a machine component
TWI775285B (en) * 2021-01-21 2022-08-21 正鉑雷射股份有限公司 Maintenance system and methodof cloud-based laser processing device
TWI769676B (en) * 2021-01-22 2022-07-01 許冠文 Artificial intelligence assisted real-world machine maintenance training method
CN112884717A (en) * 2021-01-29 2021-06-01 东莞市牛犇智能科技有限公司 System and method for real-time workpiece surface detection and tool life prediction
US12111644B2 (en) 2021-02-16 2024-10-08 Ecolab Usa Inc. Creping process performance tracking and control
DE102021108312A1 (en) * 2021-04-01 2022-10-06 Lisa Dräxlmaier GmbH Device and method for monitoring a stamping process
EP4071573A3 (en) * 2021-04-07 2022-11-30 Liebherr-Components Colmar SAS A method for predicting a remaining lifetime parameter of a component
JP7039752B1 (en) 2021-06-07 2022-03-22 Dmg森精機株式会社 Information output system and information output method
CN113569903B (en) * 2021-06-09 2024-04-09 西安电子科技大学 Method, system, equipment, medium and terminal for predicting cutter abrasion of numerical control machine tool
CN113369979B (en) * 2021-06-12 2022-05-17 杭州职业技术学院 Online monitoring numerically controlled lathe cooling system based on cloud computing
CN113359655A (en) * 2021-07-19 2021-09-07 大连誉洋工业智能有限公司 Method for establishing casting polishing intelligent production information model
TWI801958B (en) * 2021-08-06 2023-05-11 方榮傑 System and method for equipment maintenance
CN113664612A (en) * 2021-08-24 2021-11-19 沈阳工业大学 Numerical control machine tool milling cutter abrasion real-time monitoring method based on deep convolutional neural network
WO2023028645A1 (en) * 2021-09-06 2023-03-09 V2 Innovations Pty Ltd Machine operations and management systems
CN113780153B (en) * 2021-09-07 2024-08-02 北京理工大学 Cutter wear monitoring and predicting method
US20230135705A1 (en) * 2021-10-29 2023-05-04 Deere & Company Non-transitory computer-readable media and devices for blade wear monitoring
TWI800108B (en) * 2021-11-23 2023-04-21 台達電子工業股份有限公司 Processing machine, and determining method for determining abnormal processing of the processing machine
CN116149256A (en) 2021-11-23 2023-05-23 台达电子工业股份有限公司 Processing machine and processing abnormality determination method thereof
CN114102261A (en) * 2021-12-27 2022-03-01 爱派尔(常州)数控科技有限公司 Machine tool cutter safety detection method and system and machine tool
CN114888635B (en) * 2022-04-27 2023-07-25 哈尔滨理工大学 Cutter state monitoring method
TWI833251B (en) * 2022-06-21 2024-02-21 南亞科技股份有限公司 Failure mode analysis system and failure mode analysis method
CN115168873B (en) * 2022-09-09 2022-11-29 南京国睿信维软件有限公司 Based on C + + language software anti-cracking method
CN115383515A (en) * 2022-09-15 2022-11-25 沈阳航远航空技术有限公司 Electric heating auxiliary cutting system and method for online monitoring and adjusting cutter abrasion
TWI830384B (en) * 2022-09-16 2024-01-21 國立成功大學 Hybrid system and method of carbon and energy managements for green intelligent manufacturing
CN115660019B (en) * 2022-12-26 2023-06-02 帕莱克机械(南京)有限公司 Tool data supervision system and method based on cloud computing platform

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060250269A1 (en) * 2005-05-09 2006-11-09 Bwt Property, Inc. Optical signaling apparatus with precise beam control
US20090005928A1 (en) * 2007-06-29 2009-01-01 Caterpillar Inc. Visual diagnostic system and subscription service
US20170169617A1 (en) * 2015-12-14 2017-06-15 II Jonathan M. Rodriguez Systems and Methods for Creating and Sharing a 3-Dimensional Augmented Reality Space
US20180130260A1 (en) * 2016-11-08 2018-05-10 Rockwell Automation Technologies, Inc. Virtual reality and augmented reality for industrial automation

Family Cites Families (54)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5251144A (en) * 1991-04-18 1993-10-05 Texas Instruments Incorporated System and method utilizing a real time expert system for tool life prediction and tool wear diagnosis
US5689062A (en) * 1996-01-11 1997-11-18 University Of Kentucky Research Foundation Method of assessing tool-life in grooved tools
WO2002069086A2 (en) * 2001-02-22 2002-09-06 Accenture Global Services Gmbh Distributed development environment for building internet applications by developers at remote locations
US20050125271A1 (en) * 2003-12-09 2005-06-09 Peltz Christopher J. Web services project planning
US7404188B2 (en) * 2003-12-18 2008-07-22 Microsoft Corporation Method and software for publishing a business process orchestration as a web service
JP4923409B2 (en) * 2005-01-27 2012-04-25 村田機械株式会社 Tool life prediction device
US7765519B2 (en) * 2005-12-16 2010-07-27 International Business Machines Corporation Efficient builds for installation software
US8051405B2 (en) * 2006-01-11 2011-11-01 Oracle International Corporation System and method for build script generation in a software development environment
DE102006006273B4 (en) * 2006-02-10 2014-09-04 Siemens Aktiengesellschaft System for determining the state of wear of a machine tool
US8505005B1 (en) * 2007-07-24 2013-08-06 United Services Automobile Association (Usaa) Multi-platform network-based software distribution
US8949788B2 (en) * 2008-12-17 2015-02-03 Red Hat, Inc. Building and packaging software
TWM381439U (en) * 2010-01-15 2010-06-01 Lashings Technology Co Ltd Virtual reality dynamic simulation device
JP5411055B2 (en) * 2010-04-26 2014-02-12 三菱電機株式会社 Tool life detection method and tool life detection device
US9009696B2 (en) * 2010-04-27 2015-04-14 Red Hat, Inc. Generating encoded identifications of selected subsets of installed software packages on a client machine
CN102255934B (en) * 2010-05-20 2015-10-21 中兴通讯股份有限公司 Cloud service dissemination method and cloud service intermediary
US8495614B2 (en) * 2010-05-28 2013-07-23 Red Hat, Inc. Mechanism for dynamically generating spec files for software package managers
US8645672B2 (en) * 2010-07-02 2014-02-04 International Business Machines Corporation Configuring a computer system for a software package installation
WO2012069284A1 (en) * 2010-11-25 2012-05-31 Komet Group Gmbh Server of a computer network
CN102172849A (en) * 2010-12-17 2011-09-07 西安交通大学 Cutter damage adaptive alarm method based on wavelet packet and probability neural network
TWI419761B (en) * 2010-12-28 2013-12-21 Nat Univ Chung Hsing Tool State Detection Method and Device for Machining Machine
TWI422460B (en) * 2010-12-28 2014-01-11 Nat Univ Chung Hsing Tool nose detection method for cutting machine tool
CN102073300B (en) * 2010-12-28 2013-04-17 华中科技大学 Tool wear monitoring system capable of realizing self-learning in numerical control machining state
US8261295B1 (en) * 2011-03-16 2012-09-04 Google Inc. High-level language for specifying configurations of cloud-based deployments
US8856736B2 (en) * 2011-05-10 2014-10-07 Microsoft Corporation Web service proxy interface augmentation
CN102289552B (en) * 2011-09-09 2012-12-26 中国运载火箭技术研究院 Combined test system and method adopting material object devices and mathematical models
US8909358B2 (en) * 2012-06-01 2014-12-09 Sap Ag Method and system for complex smart grid infrastructure assessment
TWM447284U (en) * 2012-10-23 2013-02-21 Goodway Machine Corp Tool monitoring system of machine tool
US9189285B2 (en) * 2012-12-14 2015-11-17 Microsoft Technology Licensing, Llc Scalable services deployment
CN103064742B (en) * 2012-12-25 2016-05-11 中国科学院深圳先进技术研究院 A kind of automatic deployment system and method for hadoop cluster
CN103067507A (en) * 2012-12-28 2013-04-24 国家计算机网络与信息安全管理中心 Internet cloud computing resource virtualization packaging system and method
US8819241B1 (en) * 2013-03-14 2014-08-26 State Farm Mutual Automobile Insurance Company System and method for a self service portal and automation for internally hosted virtual server resources
US10677685B2 (en) * 2013-04-05 2020-06-09 Aktiebolaget Skf Method, computer program product and system
CN104657526B (en) * 2013-11-21 2017-09-29 郑芳田 The Forecasting Methodology of the processing quality of toolroom machine
WO2015120293A1 (en) * 2014-02-06 2015-08-13 Arizona Board Of Regents On Behalf Of Arizona State University Systems and methods for real-time monitoring of micromilling tool wear
US20150269130A1 (en) * 2014-03-21 2015-09-24 Ptc Inc. System and method of using multi-level hierarchical data in displaying real-time web-service objects
CN103962888A (en) * 2014-05-12 2014-08-06 西北工业大学 Tool abrasion monitoring method based on wavelet denoising and Hilbert-Huang transformation
TWI576755B (en) * 2014-05-30 2017-04-01 蘋果公司 Method executable in a first controller device, controller device, and computer-readable storage medium
US10649742B2 (en) * 2014-06-13 2020-05-12 James L. Bosworth Computing expression medium, development environment, and device communication and control architecture
US9472028B2 (en) * 2014-06-23 2016-10-18 GM Global Technology Operations LLC Augmented reality based interactive troubleshooting and diagnostics for a vehicle
TWI641934B (en) * 2014-08-05 2018-11-21 聯華電子股份有限公司 Virtual metrology system and method
US10139311B2 (en) * 2014-09-26 2018-11-27 Palo Alto Research Center Incorporated Computer-implemented method and system for machine tool damage assessment, prediction, and planning in manufacturing shop floor
CN104484523B (en) * 2014-12-12 2017-12-08 西安交通大学 A kind of augmented reality induction maintenance system realizes apparatus and method for
US9471303B2 (en) * 2015-02-04 2016-10-18 Sap Se Façade framework for IDE
US10091270B2 (en) * 2015-04-22 2018-10-02 SafeNet International LLC Method and system for allowing cloud-based applications to automatically integrate network enabled sensors during runtime
CN104834379A (en) * 2015-05-05 2015-08-12 江苏卡罗卡国际动漫城有限公司 Repair guide system based on AR (augmented reality) technology
US20160335067A1 (en) * 2015-05-11 2016-11-17 Microsoft Technology Licensing, Llc Source code customization framework
SG11201707940VA (en) * 2015-05-18 2017-10-30 Halliburton Energy Services Inc Condition based maintenance program based on life-stress acceleration model and cumulative damage model
EP3329433A1 (en) * 2015-07-29 2018-06-06 Illinois Tool Works Inc. System and method to facilitate welding software as a service
TWM516718U (en) * 2015-10-22 2016-02-01 Buffalo Machinery Company Ltd Abrasion detection module of process cutting tool
CN105357045B (en) * 2015-11-20 2019-09-17 曙光云计算集团有限公司 A kind of cloud platform service creating method and device
TWM533289U (en) * 2016-05-06 2016-12-01 Bitspower Internat Co Ltd Virtual reality control platform
CN106217128B (en) * 2016-07-06 2018-07-13 陕西柴油机重工有限公司 The variable working condition bottom tool state of wear prediction technique excavated based on big data
CN106339094B (en) * 2016-09-05 2019-02-26 山东万腾电子科技有限公司 Interactive remote expert cooperation examination and repair system and method based on augmented reality
CN106340217B (en) * 2016-10-31 2019-05-03 华中科技大学 Manufacturing equipment intelligence system and its implementation based on augmented reality

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060250269A1 (en) * 2005-05-09 2006-11-09 Bwt Property, Inc. Optical signaling apparatus with precise beam control
US20090005928A1 (en) * 2007-06-29 2009-01-01 Caterpillar Inc. Visual diagnostic system and subscription service
US20170169617A1 (en) * 2015-12-14 2017-06-15 II Jonathan M. Rodriguez Systems and Methods for Creating and Sharing a 3-Dimensional Augmented Reality Space
US20180130260A1 (en) * 2016-11-08 2018-05-10 Rockwell Automation Technologies, Inc. Virtual reality and augmented reality for industrial automation

Cited By (20)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11869278B2 (en) * 2017-11-27 2024-01-09 Lenze Automation Gmbh Method for determining a status of one of multiple machine components of a machine and status-determining system
US10955832B2 (en) 2018-10-09 2021-03-23 Applied Materials, Inc. Adaptive chamber matching in advanced semiconductor process control
US20200111689A1 (en) * 2018-10-09 2020-04-09 Applied Materials, Inc. Adaptive control of wafer-to-wafer variability in device performance in advanced semiconductor processes
US10705514B2 (en) 2018-10-09 2020-07-07 Applied Materials, Inc. Adaptive chamber matching in advanced semiconductor process control
US10930531B2 (en) * 2018-10-09 2021-02-23 Applied Materials, Inc. Adaptive control of wafer-to-wafer variability in device performance in advanced semiconductor processes
US10929586B2 (en) * 2018-10-09 2021-02-23 Applied Materials, Inc. Predictive spatial digital design of experiment for advanced semiconductor process optimization and control
US11112135B2 (en) * 2018-11-09 2021-09-07 Johnson Controls Technology Company Maintenance procedure updating in HVAC system service log
JP2020170392A (en) * 2019-04-04 2020-10-15 ファナック株式会社 Numerical control device and numerical control system
US11586170B2 (en) * 2019-04-04 2023-02-21 Fanuc Corporation Numerical controller and numerical control system
JP7132166B2 (en) 2019-04-04 2022-09-06 ファナック株式会社 Numerical controller and numerical control system
EP3742247A1 (en) * 2019-05-23 2020-11-25 SCM Group S.p.A. System and method for managing the maintenance of machining centers, machines and the like
CN110472774A (en) * 2019-07-19 2019-11-19 西北工业大学 Variable working condition bottom tool method for predicting residual useful life based on LSTM network
CN114585326A (en) * 2019-11-01 2022-06-03 登士柏西诺德公司 Dental machining system for predicting wear condition of dental tool
US11604456B2 (en) * 2020-03-11 2023-03-14 Ford Global Technologies, Llc System for monitoring machining processes of a computer numerical control machine
US20210302945A1 (en) * 2020-03-25 2021-09-30 Fujifilm Business Innovation Corp. Information processing apparatus, information processing system, and non-transitory computer readable medium storing program
CN113458873A (en) * 2021-07-01 2021-10-01 太原科技大学 Method for predicting wear loss and residual life of cutter
CN114871850A (en) * 2022-04-22 2022-08-09 浙江大学 Cutter wear state evaluation method based on vibration signal and BP neural network
CN114952420A (en) * 2022-05-23 2022-08-30 大连理工大学 Wear prediction calculation method for milling CFRP (carbon fiber reinforced plastics) of ball end mill based on path dispersion
CN115157005A (en) * 2022-08-12 2022-10-11 华侨大学 Cutter wear monitoring method, device, equipment and storage medium based on strain
CN116551467A (en) * 2023-07-05 2023-08-08 南京维拓科技股份有限公司 Cutter abrasion state identification method based on internet of things monitoring data

Also Published As

Publication number Publication date
CN108628286B (en) 2020-06-16
US10695884B2 (en) 2020-06-30
TW201835722A (en) 2018-10-01
TWI662440B (en) 2019-06-11
CN108628286A (en) 2018-10-09
US20180272491A1 (en) 2018-09-27
TWI670672B (en) 2019-09-01
TW201835841A (en) 2018-10-01
TWI640390B (en) 2018-11-11
CN108628661B (en) 2021-11-26
CN108620949B (en) 2020-05-22
TW201834784A (en) 2018-10-01
CN108628661A (en) 2018-10-09
US20180278494A1 (en) 2018-09-27
US10618137B2 (en) 2020-04-14
CN108620949A (en) 2018-10-09

Similar Documents

Publication Publication Date Title
US20180275630A1 (en) System and method for machine tool maintenance and repair
US20190171540A1 (en) Apparatus fault detecting system and fault detection device
US10142596B2 (en) Method and apparatus of secured interactive remote maintenance assist
US9251582B2 (en) Methods and systems for enhanced automated visual inspection of a physical asset
RU2724466C2 (en) Nondestructive testing systems and methods involving a remote expert
CN105283400B (en) Elevator noise monitoring
KR102118966B1 (en) System and method for fault forecast and diagnostic of power plant
JP2018160232A (en) System and method for interactive cognitive task assistance
US20130218783A1 (en) Apparatus and method for real-time data capture and usage for fault repair
KR20190021560A (en) Failure prediction system using big data and failure prediction method
CN110866310B (en) Automated supervision and inspection of assembly processes
US20030163217A1 (en) Semiconductor manufacturing apparatus and its diagnosis apparatus and operating system
CN110874832A (en) Automatic supervision and inspection of assembly process
KR102212390B1 (en) Apparatus and method for deriving optimum operating rule of real plant using digital twin simulator and machine learning
CN110502356A (en) System to the computing hardware in monitoring calculation infrastructure equipment
JP2022551978A (en) Systems and methods for using virtual or augmented reality in data center operations or cloud infrastructure
KR102284282B1 (en) Remote collaboration monitering method using augmented reality image
EP3762797B1 (en) Method and system for managing a technical installation
CN113508349B (en) 360 ° assistance for QCS gantry with mixed reality and machine learning techniques
US11107284B2 (en) System and method for visualization of system components
Alijani Mamaghani et al. A framework to implement augmented reality based on BIM to improve operation and maintenance of mechanical facilities of commercial complexes
JP6591120B2 (en) Device maintenance support system, device maintenance support device, and device maintenance support program
KR101788115B1 (en) Case-based diagnostic system and server thereof
KR102568060B1 (en) Apparatus for artificial intelligence based safety diagnosis through 3d model and method thereof
US20220221849A1 (en) Method and System for Monitoring Condition of Drives

Legal Events

Date Code Title Description
AS Assignment

Owner name: NATIONAL CHENG KUNG UNIVERSITY, TAIWAN

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:KAO, YUNG-CHOU;YANG, HAW-CHING;CHENG, FAN-TIEN;REEL/FRAME:045714/0431

Effective date: 20180316

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: ADVISORY ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: DOCKETED NEW CASE - READY FOR EXAMINATION

STPP Information on status: patent application and granting procedure in general

Free format text: NON FINAL ACTION MAILED

STPP Information on status: patent application and granting procedure in general

Free format text: RESPONSE TO NON-FINAL OFFICE ACTION ENTERED AND FORWARDED TO EXAMINER

STPP Information on status: patent application and granting procedure in general

Free format text: FINAL REJECTION MAILED

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION