WO2016155996A1 - Système de production et son procédé de commande - Google Patents

Système de production et son procédé de commande Download PDF

Info

Publication number
WO2016155996A1
WO2016155996A1 PCT/EP2016/054980 EP2016054980W WO2016155996A1 WO 2016155996 A1 WO2016155996 A1 WO 2016155996A1 EP 2016054980 W EP2016054980 W EP 2016054980W WO 2016155996 A1 WO2016155996 A1 WO 2016155996A1
Authority
WO
WIPO (PCT)
Prior art keywords
production system
quality
industrial
optimization
industrial device
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.)
Ceased
Application number
PCT/EP2016/054980
Other languages
English (en)
Inventor
Shun Jie Fan
Ming JIE
Xian Tao Meng
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.)
Siemens AG
Siemens Corp
Original Assignee
Siemens AG
Siemens Corp
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 Siemens AG, Siemens Corp filed Critical Siemens AG
Publication of WO2016155996A1 publication Critical patent/WO2016155996A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41875—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by quality surveillance of production
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Program-control systems
    • G05B19/02—Program-control systems electric
    • G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
    • G05B19/41865—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by job scheduling, process planning, material flow
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/32—Operator till task planning
    • G05B2219/32015—Optimize, process management, optimize production line
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G05B2219/33—Director till display
    • G05B2219/33334—Load balancing, distribution between processors
    • Y—GENERAL 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
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]

Definitions

  • the present invention relates to industrial production automation techniques, and in particular to a production system and a method for controlling same.
  • the existing production system is constituted by numerous distributed automatic industrial devices integrated themselves with a server, and through the server, these industrial devices can communicate with other industrial devices, products with an electronic tag, enterprise resource planning (“ERP” for short) , manufacturing execution system (“MES” for short) and the like in the production system so as to provide a systematic and automatic production service.
  • ERP enterprise resource planning
  • MES manufacturing execution system
  • the present invention In order to solve the problems mentioned in the background art that the processing efficiency of the execution system of the industrial device is not high with regard to the cases that a plurality of tasks are concurrent, or a plan task is changed temporarily and an operating abnormality or fault occurs to the industrial device and the like, and slow working process running easily occurs to the production system and production security is caused, and the like, the present invention
  • an optimization working state and/or an optimization working parameter of an industrial device generating each procedure of the production system are estimated by performing quality of service (“QoS” for short) estimation on the quality of service of each industrial device in the production system, according to an estimated quality of service parameter and based on a pre-set production system model (“PSM” for short) or a pre-set production system optimization form, so as to ensure the whole working process of the production system to be smooth, improves production efficiency and ensures the security performance of the production system.
  • QoS quality of service
  • PSM pre-set production system model
  • the present invention provides a production system, comprising at least two industrial devices, wherein the
  • QoS quality of service
  • the quality of service (QoS) evaluation unit is used for acquiring a quality of service parameter of the industrial devices, wherein the quality of service parameter is used for measuring an instruction execution situation of the industrial devices and/or the working performance of the industrial devices, and when the quality of service parameter of the industrial devices does not satisfy a pre-set threshold value, sending an optimization request to the production system model (PSM) unit of the industrial devices, wherein the optimization request contains the quality of service parameter; and
  • PSM production system model
  • PSD production system model
  • the pre-set production system model comprises a model of each industrial device constituting the production system, and the pre-set production system
  • optimization form comprises a quality of service optimization strategy of each industrial device constituting the production system .
  • the present invention further provides a method for controlling a production system, comprising:
  • a quality of service (QoS) evaluation unit of a first industrial device acquiring a quality of service parameter of the first industrial device, wherein the quality of service parameter is used for measuring an instruction execution situation of the first industrial device and/or the working performance of the first industrial device, and when the quality of service parameter of the industrial device does not satisfy a pre-set threshold value, sending an optimization request to a production system model (PS ) unit of the first industrial device, wherein the optimization request contains the quality of service parameter; and
  • QoS quality of service
  • the pre-set production system model comprises a model of the first industrial device and each of the second industrial devices constituting the production system
  • the pre-set production system optimization form comprises a quality of service optimization strategy of the first industrial device and each of the second industrial devices constituting the production system
  • the present invention further provides a method for controlling a production system, comprising:
  • a quality of service (QoS) evaluation unit of a first industrial device acquiring a quality of service parameter of the first industrial device, wherein the quality of service parameter is used for measuring an instruction execution situation of the first industrial device and/or the working performance of the first industrial device, and when the quality of service parameter does not satisfy a pre-set
  • production system model (PSM) unit of the first industrial device and various second industrial devices wherein the optimization request contains the quality of service parameter, so that the production system model (PSM) unit of the first industrial device and various second industrial devices
  • a pre-set production system model a pre-set respective industrial device model, a pre-set
  • the pre-set production system model comprises a model of the first industrial device and each of the second industrial devices constituting the production system
  • the pre-set production system optimization form comprises a quality of service optimization strategy of the first industrial device and each of the second industrial devices constituting the production system
  • an optimization working state and/or an optimization working parameter of an industrial device generating each procedure of the production system are estimated by performing quality of service (QoS) estimation on the quality of service of each industrial device in the production system, according to an estimated quality of service parameter and based on a pre-set production system model (PSM) or a pre-set production system optimization form, so as to ensure the whole working process of the production system to be smooth, improves production
  • QoS quality of service
  • Fig. 1 is a structural diagram of Embodiment I of a production system of the present invention
  • Fig. 2 is a structural diagram of Embodiment II of a production system of the present invention.
  • Fig. 3 is a structural diagram of Embodiment III of a production system of the present invention.
  • Fig. 4 is a flowchart of Embodiment I of a method for controlling a production system of the present invention
  • Fig. 5 is a flowchart of Embodiment II of a method for controlling a production system of the present invention.
  • Fig. 6 is a flowchart of Embodiment I of another method for controlling a production system of the present invention.
  • Fig. 1 is a structural diagram of Embodiment I of a
  • the production system of the present embodiment comprises: at least two industrial devices 10-20, wherein the industrial devices 10-20 comprise: a quality of service (QoS) evaluation unit 101 and a production system model (PSM) unit 102, wherein the quality of service (QoS) evaluation unit 101 is used for acquiring a quality of service parameter of the industrial devices 10-20, wherein the quality of service parameter is used for measuring an instruction execution situation of the
  • QoS quality of service
  • PSM production system model
  • optimization form or according to the quality of service parameter and a pre-set production system model, or according to the quality of service parameter and a pre-set production system optimization form, and sending the optimization working state and/or the optimization working parameter of each of the industrial devices 10-20 to each of the corresponding
  • the pre-set production system model comprises a model of each industrial device constituting the production system
  • the pre-set production system optimization form comprises a quality of service optimization strategy of each industrial device constituting the production system
  • the production system comprises at least two industrial devices 10-20, wherein the industrial devices 10-20, respectively serving as a network node, perform communication via a network interface, and the industrial devices 10-20 may be any device, such as computers, electrical motors, robots and numerical control machine tools, which is required in an industrial production line.
  • the industrial devices 10-20 receive a task instruction sent by a management-layer server, a product, a real-time instruction control platform and the like, wherein if the task instruction comes from a product, by attaching an electronic tag to the product, the industrial devices 10-20 can identify the task instruction by scanning the electronic tag on the product when the product flows through the industrial devices 10-20.
  • the quality of service (QoS) evaluation unit 101 can monitor the industrial devices 10-20 in real time to obtain the quality of service parameter of the industrial devices 10-20, wherein the quality of service mainly reflects the instruction execution situation of the industrial devices 10-20, and/or the working performance of the industrial devices 10-20; can comprise: the load condition, the device performance and the like of the industrial devices 10-20; if a plurality of task instructions arrive simultaneously, or the task instructions are changed temporarily, relatively high load is caused; or due to the cases of a performance fault (such as sharp dropping of the rotation speed of an electrical motor, robot program error and so on) of the industrial devices 10-20, delay of the working process, overstocking of products on the production line and the like, the quality of service of the industrial devices 10-20 is further caused to reduce and cannot satisfy the pre-set threshold value.
  • a performance fault such as sharp dropping of the rotation speed of an electrical motor, robot program error and so on
  • cases such as when the load condition exceeds a pre-set load threshold value, and/or when the device performance is lower than the pre-set device performance threshold value.
  • the pre-set threshold value can be provided with different pre-set threshold value indicators by engineering technicians according to the specific indicators, such as the type and performance of the industrial device and the working process flow and performance.
  • the industrial device 10 is an electrical motor.
  • the quality of service (QoS) evaluation unit 101 monitors that the quality of service of the industrial device 10 is reduced and cannot satisfy the pre-set rotation speed threshold value of the electrical motor, and then sends an optimization request to the production system model (PSM) unit 102; the optimization request contains: a quality of service parameter; and the specific representation form of the quality of service parameter is provided according to indicators, such as the type and performance of the
  • the quality of service parameter can contain a current rotation speed value of the electrical motor, and can further contain a task processing time
  • an execution time ⁇ exe a waiting time twa , a transmission time tl " s , data size, transmission speed and the like, wherein the
  • execution time texe refers to the time of the process when the task instruction is executed
  • waiting time twak refers to the time required to wait when the task instruction is executed in a task instruction queue
  • transmission time ttmm refers to the transmission time of the task instruction
  • evaluation unit 101 calculates a delay time t ⁇ ielay of task
  • delay Mn " exe “ ' “” s wherein " ⁇ am data size/transmission speed, if t(ie ' ay exceeds a pre-set time threshold value, it is indicated that the industrial devices 10-20 do not process the task instruction in time, then the above-mentioned time delay value can also serve as the quality of service (QoS) parameter P T/EP2016/054980
  • the above-mentioned quality of service parameter being the delay time or the rotation speed of the electrical motor is merely used as an example.
  • the present invention does not limit the quality of service parameter, which can be any quality of service estimation parameter representing the device
  • the quality of service QoS
  • evaluation unit 101 acquires the quality of service parameter of the industrial devices 10-20, and in the acquisition process, the industrial devices 10-20 can be either actively monitored by the quality of service (QoS) evaluation unit 101 so as to obtain the quality of service parameter, or the industrial devices 10-20 can report various quality of service parameters thereof to the quality of service (QoS) evaluation unit 101.
  • the present embodiment does not limit the specific acquisition method.
  • an optimization request is sent to the production system model (PSM) unit 102, and the production system model (PSM) unit 102 pre-stores a pre-set overall model of the production system, and/or the pre-set optimization form of the production system.
  • the quality of service parameter is substituted in the pre-set production system model to calculate the optimization working state and/or the optimization working parameter of each of the industrial devices 10-20, wherein the working state is such as shut-down, standby, operating, forward rotation and reverse rotation; and the working parameter is such as a time parameter, a speed parameter, a priority parameter and voltage and current parameters.
  • the working state is such as shut-down, standby, operating, forward rotation and reverse rotation
  • the working parameter is such as a time parameter, a speed parameter, a priority parameter and voltage and current parameters.
  • the production system model (PSM) unit 102 stores form files, such as a configuration file, process data, a working logic file and operating time data, of each
  • the industrial devices 10-20 can be adjusted more quickly, so that the case that the quality of service of the industrial device is reduced can be processed in time and efficiently.
  • these three i.e. the pre-set production system model, the preset production system optimization form and the quality of service parameter, can also be combined to jointly obtain the optimized strategy.
  • the optimization working state and/or the optimization working parameter corresponding to each of the industrial devices 10-20 are generated according to the working state and the working parameter, and the optimized working state and/or the optimized working parameter are sent to each of the industrial devices 10-20, so that the industrial devices 10-20 adjust the working process or adjust an operation parameter and the like of the industrial devices 10-20
  • an optimization working state and/or an
  • QoS quality of service
  • Fig. 2 is a structural diagram of Embodiment II of a production system of the present invention.
  • the production system further comprises an integrated server 103, wherein the integrated server 103 is used for: receiving a task instruction to be executed by the industrial devices 10-20, and performing statistical analysis on the received task instruction, so as to obtain the load condition of the industrial devices 10-20;
  • the quality of service (QoS) evaluation unit 101 is specifically used for monitoring the integrated server 103 and acquiring the quality of service parameter of the industrial devices 10-20 from the integrated server 103.
  • the integrated server 103 receives the task instruction sent to the industrial devices 10-20 via a network communication interface, can perform operations, such as queue 2016/054980
  • the integrated server 103 can further learn the current working state of the industrial devices 10-20 in time by receiving the operating parameter fed back by various sensor elements of the industrial devices 10-20, so as to find whether a fault occurs to or an abnormality exists in the industrial devices 10-20 in time.
  • the integrated server 103 performs comprehensive analysis again according to the load condition and/or the operating parameter of the industrial devices 10-20 to obtain the quality of service parameter of the industrial devices 10-20; for example, with regard to each instruction in the task
  • the quality of service (QoS) evaluation unit 101 acquires, by monitoring the integrated server 103, execution capability information about the
  • the quality of service (QoS) evaluation unit 101 acquires the quality of service parameter of the industrial devices 10-20 from the integrated server 103, and then estimates the quality of service parameter of the industrial devices 10-20 according to the pre-set threshold value.
  • the working process and time of the quality of service (QoS) evaluation unit 101 directly acquiring the quality of service parameter from the industrial devices 10-20 can be greatly saved, and the processing
  • the quality of service (QoS) evaluation unit 101 and the production system model (PSM) unit 102 is integrated into the integrated server 103.
  • the quality of service (QoS) evaluation unit 101 and the production system model (PSM) unit 102 can be integrated with the integrated server 103 into one piece, and can also be arranged as separate bodies .
  • Fig. 3 is a structural diagram of Embodiment III of a production system of the present invention.
  • the industrial devices 10-20 further comprise: a permission control unit 104 for verifying an access right of a task instruction, and if the verification is passed, sending a permission instruction to the integrated server 103 so that the industrial devices 10-20 execute the task instruction; and the permission control unit 104 further for receiving the optimization working state and/or the optimization working parameter sent by the production system model (PSM) unit 102 so as to update access right data of the industrial devices 10-20.
  • PSM production system model
  • identity verification of an initiator of the task instruction such as whether an IP address of the initiator is legal, and whether the category of the task to be executed by the initiator is matched, and further comprises: an attribute right of the industrial devices 10-20 allowed to access, such as allowing to access one or more of read or write function of the industrial devices 10-20.
  • the permission control unit 104 is further used for receiving the optimization working state and/or the optimization working parameter sent by the production system model (PSM) unit 102, and the permission control unit 104 updates the access right data of the corresponding industrial devices 10-20 according to the optimization working state and/or the optimization working parameter.
  • PSM production system model
  • the industrial device 10 is a robot arm, and the access right data thereof originally does not comprise pasting a bar code label on a product; however, since the number of awaiting products in the production line is overstocked, and the optimization working state and/or the optimization working parameter can indicate to open the function of the robot arm pasting the bar code label, the permission control unit 104 updates the access right data of the robot arm according to the newly added function.
  • the production system further comprises: an engineering data unit 30 for storing a configuration file of each of the industrial devices 10-20, so that the production system model (PSM) unit 102 acquires the configuration file corresponding to each of the industrial devices 10-20
  • PSM production system model
  • the production system model (PSM) unit 102 acquires the quality of service optimization strategy corresponding to each of the industrial devices 10-20 constituting the production system from the engineering data unit 30 so as to form the pre-set production system optimization form.
  • the engineering data unit 30 can be a
  • the configuration platform developed by engineering technicians for use which has the complete configuration development file, data, production system optimization strategy form of the production system and the like, wherein the production system is composed by numerous industrial devices 10-20 with different combination forms; if a current production system is composed by ten industrial devices 10-20, and then due to the production task demand, the production system is changed into twenty industrial devices 10-20, the production system model (PSM) unit 102 of each of the industrial devices 10-20 can acquire the configuration file and the quality of service optimization strategy corresponding to each of the industrial devices 10-20 constituting the current production system from the engineering data unit 30 so as to form the pre-set production system model and the pre-set production system optimization form of the current production system. That is to say, the engineering data unit 30 provides diversified modeling requirements of the production system, which can enable the production system to possess better flexibility and plasticity.
  • Fig. 4 is a flowchart of Embodiment I of a method for controlling a production system of the present invention, as shown in Fig. 4, comprising:
  • a quality of service (QoS) evaluation unit of a first industrial device acquiring a quality of service parameter of the first industrial device, wherein the quality of service parameter is used for measuring an instruction execution situation of the first industrial device and/or the working performance of the first industrial device, and when the quality of service parameter of the industrial device does not satisfy a pre-set threshold value, sending an optimization request to a production system model (PSM) unit of the first industrial device, wherein the optimization request contains the quality of service parameter; and
  • QoS quality of service
  • the production system model (PSM) unit of the first industrial device receiving the optimization request, estimating an optimization working state and/or an optimization working parameter of the first industrial device and various second industrial devices according to the quality of service parameter, a pre-set production system model and a pre-set production system optimization form, or according to the quality of service parameter and a pre-set production system model, or according to the quality of service parameter and a pre-set production system optimization form, and sending the optimization working state and/or the optimization working parameter to the first industrial device and each of the second industrial devices, wherein the pre-set production system model comprises a model of the first industrial device and each of the second industrial devices constituting the production system, and the pre-set production system optimization form comprises a quality of service optimization strategy of the first industrial device and each of the second industrial devices constituting the production system.
  • the pre-set production system model comprises a model of the first industrial device and each of the second industrial devices constituting the production system
  • the pre-set production system optimization form comprises a quality of service optimization strategy of the first industrial device and each of
  • the method of the present embodiment may be implemented by using the technical solution of Embodiment I of the production system shown in Fig. 1, and the implementation principles and technical effects are similar and will not be described herein.
  • an optimization working state and/or an optimization working parameter of an industrial device generating each procedure of the production system are
  • QoS quality of service
  • Fig. 5 is a flowchart of Embodiment II of a method for controlling a production system of the present invention, and as shown in Fig. 5, on the basis of Embodiment I shown in Fig. 4 above, the method comprises:
  • step 201 a permission control unit of the first
  • step 202 the integrated server of the first industrial device receiving the task instruction to be executed by the first industrial device, and performing statistical analysis on the received task instruction, so as to obtain the load condition of the first industrial device; and/or receiving an operating parameter fed back by the first industrial device; and generating the quality of service parameter of the first industrial device according to the load condition and/or the operating parameter of the first industrial device;
  • step 203 the quality of service (QoS) evaluation unit of the first industrial device monitoring the integrated server of the first industrial device, and acquiring the quality of service parameter of the first industrial device from the integrated server of the first industrial device, wherein the quality of service parameter is used for measuring an
  • step 204 when the quality of service parameter of the industrial device does not satisfy a pre-set threshold value, the quality of service (QoS) evaluation unit of the first industrial device sending the optimization request to a
  • PSM production system model
  • the production system model (PSM) unit of the first industrial device receiving the optimization request, estimating an optimization working state and/or an optimization working parameter of the first industrial device and various second industrial devices according to the quality of service parameter, a pre-set production system model and a pre-set production system optimization form, or according to the quality of service parameter and a pre-set production system model, or according to the quality of service parameter and a pre-set production system optimization form, wherein the preset production system model comprises a model of the first industrial device and each of second industrial devices constituting the production system, and the pre-set production system optimization form comprises a quality of service optimization strategy of the first industrial device and each of the second industrial devices constituting the production system;
  • step 206 the production system model (PSM) unit of the first industrial device sending the optimization working state and/or the optimization working parameter to the first
  • step 207 the production system model (PSM) unit of the first industrial device sending the optimization working state and/or the optimization working parameter to a permission control unit of the first industrial device and each of the second industrial devices, so that the permission control unit of the first industrial device and each of the second
  • industrial devices updates access right data of respective industrial devices.
  • step 206 There is no necessary sequential relationship between step 206 and step 207, and it can be set by a person skilled in the art at his/her will according to actual working conditions.
  • the method further comprises: the production system model (PSM) unit of the first industrial device
  • the engineering data unit is used for storing a configuration file of the first industrial device and each of the second industrial devices, so that the production system model (PSM) unit acquires the configuration file corresponding to each of the industrial devices constituting the production system from the engineering data unit so as to form the pre-set production system model, and is further used for storing a quality of service optimization strategy of the first industrial device and each of the second industrial devices, so that the production system model (PSM) unit
  • step 205 acquires the quality of service optimization strategy corresponding to each of the industrial devices constituting the production system from the engineering data unit so as to form the pre-set production system optimization form. This step can be performed in any step before step 205.
  • the method of the present embodiment may be implemented by using the technical solutions of the embodiments of the production system shown in Figs. 1 to 3 , and the implementation principles and technical effects are similar and will not be described herein.
  • Fig. 6 is a flowchart of Embodiment I of another method for controlling a production system of the present invention, as shown in Fig. 6, comprising:
  • a quality of service (QoS) evaluation unit of a first industrial device acquires a quality of service
  • the quality of service parameter is used for measuring an instruction execution situation of the first industrial device and/or the working performance of the first industrial device.
  • step 302 when the quality of service parameter does not satisfy a pre-set threshold value, an optimization request is sent to a production system model (PSM) unit of the first industrial device and various second industrial devices, wherein the optimization request contains the quality of service parameter, so that the production system model (PSM) unit of the first industrial device and various second
  • industrial devices estimates an optimization working state and/or an optimization working parameter of the respective industrial devices according to at least one of a pre-set production system model, a pre-set respective industrial device model, a pre-set production system optimization form and a preset respective industrial device optimization form, and the quality of service parameter.
  • the quality of service (QoS) evaluation unit not only sends the optimization request to the PSM unit of the first industrial device, but also sends the optimization request to the production system model (PSM) unit of various second industrial devices. That is to say, when finding that there is a case that the first industrial device has a
  • the QoS evaluation unit reports the current situation of the quality of service
  • any one of the industrial devices in the production system learns the reason in advance why the performance of the first industrial device is reduced and takes precautions in advance, thereby further ensuring the security performance of the production system.
  • all the industrial devices, i.e. the first industrial device and various second industrial devices, that constitute the production system estimate the working state and working parameter of respective industrial devices according to the overall production system model in the production system model (PSM) unit thereof or the model of respective industrial devices.
  • the first industrial device and various second industrial devices estimate the working state and working parameter of respective industrial devices according to the overall production system optimization form in the production system model (PSM) unit thereof or the
  • each industrial device model is contained in a production system model, and each industrial device can perform calculation to obtain an optimization working state and/or an optimization working parameter of respective
  • step 303 the optimization working state and/or the optimization working parameter are sent to respective
  • the pre-set production system optimization form comprises a quality of service optimization strategy of the first industrial device and each of the second industrial devices constituting the production system.
  • the method for controlling a production system of the present embodiment pre-warns, by performing quality of service (“QoS”) estimation on the quality of service of each industrial device in the production system, and reporting the condition of the industrial device with bad QoS estimation to other
  • each industrial device on the production system in time, each industrial device to make estimation based on a pre-set model, or a pre-set optimization form to generate a respective

Landscapes

  • Engineering & Computer Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Quality & Reliability (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • General Factory Administration (AREA)

Abstract

La présente invention concerne un système de production, et un procédé de commande correspondant. Le système de production comprend au moins deux dispositifs industriels, les dispositifs industriels comprenant une unité d'évaluation de qualité de service (QoS) pour l'acquisition d'un paramètre de qualité de service des dispositifs industriels, et lorsque le paramètre de qualité de service des dispositifs industriels ne satisfait pas une valeur-seuil prédéfinie, pour envoyer une demande d'optimisation à une unité de modèle de système de production (PSM) des dispositifs industriels, la demande d'optimisation contenant le paramètre de qualité de service ; et une unité de modèle de système de production (PSM) pour recevoir la demande d'optimisation, pour estimer un état de travail d'optimisation et/ou un paramètre de travail d'optimisation de chaque dispositif industriel selon le paramètre de qualité de service, un modèle pré-établi de système de production et/ou une forme pré-établie d'optimisation de système de production, et pour l'envoi de l'état de travail d'optimisation et/ou du paramètre de travail d'optimisation de chaque dispositif industriel correspondant à chaque dispositif industriel. La qualité de service assure ainsi que l'ensemble du processus de fonctionnement du système de production se déroule sans heurt, et améliore l'efficacité de production et garantit les performances de sécurité du système de production.
PCT/EP2016/054980 2015-03-31 2016-03-09 Système de production et son procédé de commande Ceased WO2016155996A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201510150046.6 2015-03-31
CN201510150046.6A CN106154992A (zh) 2015-03-31 2015-03-31 生产系统及生产系统的控制方法

Publications (1)

Publication Number Publication Date
WO2016155996A1 true WO2016155996A1 (fr) 2016-10-06

Family

ID=55542637

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2016/054980 Ceased WO2016155996A1 (fr) 2015-03-31 2016-03-09 Système de production et son procédé de commande

Country Status (2)

Country Link
CN (1) CN106154992A (fr)
WO (1) WO2016155996A1 (fr)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110928933A (zh) * 2018-09-20 2020-03-27 鸿富锦精密电子（成都）有限公司 生产管理方法、装置及计算机可读存储介质
JP2021026479A (ja) * 2019-08-05 2021-02-22 ファナック株式会社 アプリケーション実行用制御システム
CN120653930A (zh) * 2025-06-06 2025-09-16 广州宏仕达包装科技有限公司 一种印刷生产数据实时采集与分析方法

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106774267B (zh) * 2016-12-28 2019-04-02 中南大学 一种时序输出的控制系统的性能评估方法及装置
CN107450491B (zh) * 2017-08-04 2021-02-23 杭州南江机器人股份有限公司 一种机器人调度系统、方法、电子设备和存储介质
CN110231810A (zh) * 2019-06-19 2019-09-13 盐城工学院 一种自动化生产线信息控制系统及方法、生产线控制系统
JP6738466B1 (ja) * 2019-06-28 2020-08-12 Dmg森精機株式会社 情報処理装置、情報処理方法および情報処理プログラム
CN111861181A (zh) * 2020-07-14 2020-10-30 深圳市安科讯电子制造有限公司 一种数字能源产品智造生产系统及生产线制定方法
CN116227754B (zh) * 2023-05-09 2023-07-25 张家港大裕橡胶制品有限公司 一种橡胶手套的生产自适应优化控制方法及系统

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007257657A (ja) * 2007-05-07 2007-10-04 Hitachi Ltd 分散制御装置、システム及びコントローラ
US20080208361A1 (en) * 2007-02-27 2008-08-28 Rockwell Automation Technologies, Inc. Dynamic load balancing using virtual controller instances
WO2009105724A2 (fr) * 2008-02-22 2009-08-27 Asyst Technologies Inc . Suite de productivité vao
EP2339418A1 (fr) * 2009-12-18 2011-06-29 Siemens Aktiengesellschaft Procédé et dispositif pour améliorer les performances d'une installation de fabrication
EP2677378A1 (fr) * 2012-06-21 2013-12-25 Siemens Aktiengesellschaft Procédé de fonctionnement d'une installation d'automatisation
WO2014044298A1 (fr) * 2012-09-18 2014-03-27 Siemens Aktiengesellschaft Procédé servant à réaliser une meilleure répartition de la charge de calcul dans un système d'automatisation

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1240009C (zh) * 2003-06-19 2006-02-01 上海交通大学 基于网络的设备状态监控与性能退化预测方法
CN101770615A (zh) * 2010-01-25 2010-07-07 重庆大学 基于混合智能优化算法的炼钢-连铸生产作业计划与实时调度优化方法与系统
CN102253662A (zh) * 2011-04-11 2011-11-23 同济大学 基于多蚁群优化的半导体生产线排程方法
CN102917362B (zh) * 2012-10-12 2015-06-17 南京邮电大学 泛在无线网络下基于协同优化的多域资源分配方法
US9009653B2 (en) * 2013-02-28 2015-04-14 Tata Consultancy Services Limited Identifying quality requirements of a software product
CN104102211B (zh) * 2014-07-29 2017-02-22 浙江中控软件技术有限公司 一种燃煤热电厂热电联产系统的调度方法、服务器和系统

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20080208361A1 (en) * 2007-02-27 2008-08-28 Rockwell Automation Technologies, Inc. Dynamic load balancing using virtual controller instances
JP2007257657A (ja) * 2007-05-07 2007-10-04 Hitachi Ltd 分散制御装置、システム及びコントローラ
WO2009105724A2 (fr) * 2008-02-22 2009-08-27 Asyst Technologies Inc . Suite de productivité vao
EP2339418A1 (fr) * 2009-12-18 2011-06-29 Siemens Aktiengesellschaft Procédé et dispositif pour améliorer les performances d'une installation de fabrication
EP2677378A1 (fr) * 2012-06-21 2013-12-25 Siemens Aktiengesellschaft Procédé de fonctionnement d'une installation d'automatisation
WO2014044298A1 (fr) * 2012-09-18 2014-03-27 Siemens Aktiengesellschaft Procédé servant à réaliser une meilleure répartition de la charge de calcul dans un système d'automatisation

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110928933A (zh) * 2018-09-20 2020-03-27 鸿富锦精密电子（成都）有限公司 生产管理方法、装置及计算机可读存储介质
CN110928933B (zh) * 2018-09-20 2023-05-16 鸿富锦精密电子（成都）有限公司 生产管理方法、装置及计算机可读存储介质
JP2021026479A (ja) * 2019-08-05 2021-02-22 ファナック株式会社 アプリケーション実行用制御システム
JP7381244B2 (ja) 2019-08-05 2023-11-15 ファナック株式会社 アプリケーション実行用制御システム
CN120653930A (zh) * 2025-06-06 2025-09-16 广州宏仕达包装科技有限公司 一种印刷生产数据实时采集与分析方法

Also Published As

Publication number Publication date
CN106154992A (zh) 2016-11-23

Similar Documents

Publication Publication Date Title
WO2016155996A1 (fr) Système de production et son procédé de commande
CN113051019A (zh) 流程任务执行管控方法、装置以及设备
CN103745107B (zh) 基于故障模式的装备基层级维修保障仿真系统构建方法
CN109324962B (zh) 一种基于云物联技术的应用程序的测试方法及设备
CN109656782A (zh) 可视化调度监控方法、装置及服务器
CN112380089A (zh) 一种数据中心监控预警方法及系统
US20170039501A1 (en) Workflow management apparatus, workflow management method, and workflow management program
CN117579626B (zh) 基于分布式实现边缘计算下的优化方法及系统
CN114661462A (zh) 资源分配方法、系统、计算机可读存储介质及电子设备
US20160004566A1 (en) Execution time estimation device and execution time estimation method
CN111988240B (zh) 一种数据发送方法、装置、电子设备及存储介质
CN114490371A (zh) 基于人工智能的数据测试方法、装置、测试设备及介质
CN113641124A (zh) 一种算力分配方法、装置、控制器及楼宇控制系统
CN111078480B (zh) 一种异常恢复方法和服务器
CN106059940A (zh) 一种流量控制方法及装置
CN116820026B (zh) 一种数控机床集群监控方法及相关设备
KR20100052634A (ko) 공장 상황 시뮬레이션을 위한 시스템 및 방법
CN111130920B (zh) 硬件信息获取方法、装置、服务器及存储介质
CN117331668A (zh) 一种作业调度方法、装置、设备及存储介质
CN114358578B (zh) 基于消息队列的订单处理方法和装置
CN113658351B (zh) 一种产品生产的方法、装置、电子设备及存储介质
KR102421633B1 (ko) 자원 사용량을 고려한 소프트웨어 배포 스케줄링 방법 및 장치
JP5387083B2 (ja) ジョブ管理システムおよび方法
US8891515B2 (en) Method for node communication
CN110688207B (zh) 一种嵌入式任务调度方法及系统

Legal Events

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

Ref document number: 16710410

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 16710410

Country of ref document: EP

Kind code of ref document: A1