EP3055745A1 - Système d'exploitation flexible d'une installation d'automatisation - Google Patents

Système d'exploitation flexible d'une installation d'automatisation

Info

Publication number
EP3055745A1
EP3055745A1 EP14771532.0A EP14771532A EP3055745A1 EP 3055745 A1 EP3055745 A1 EP 3055745A1 EP 14771532 A EP14771532 A EP 14771532A EP 3055745 A1 EP3055745 A1 EP 3055745A1
Authority
EP
European Patent Office
Prior art keywords
computer
investment
field devices
network
field 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
EP14771532.0A
Other languages
German (de)
English (en)
Inventor
Romuald Girardey
Günter Jahl
Harald Freimark
Stefan Robl
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.)
Endress and Hauser SE and Co KG
Original Assignee
Endress and Hauser SE and Co KG
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 Endress and Hauser SE and Co KG filed Critical Endress and Hauser SE and Co KG
Publication of EP3055745A1 publication Critical patent/EP3055745A1/fr
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—Programme-control systems
    • G05B19/02—Programme-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]
    • G05B19/41845—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 system universality, reconfigurability, modularity
    • 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
    • G05B2219/32019—Dynamic reconfiguration to maintain optimal design, fabrication, assembly
    • 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
    • G05B2219/42—Servomotor, servo controller kind till VSS
    • G05B2219/42155—Model
    • 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
    • Y02P80/00—Climate change mitigation technologies for sector-wide applications
    • Y02P80/10—Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
    • 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]
    • 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
    • Y02P90/80—Management or planning

Definitions

  • the invention relates to a system for the flexible operation of an automation system of automation technology.
  • field devices are often used which serve to detect and / or influence process variables.
  • Process variables are measured by measuring devices, such as level gauges, flowmeters, pressure and temperature measuring devices, pH meters, conductivity meters, etc., which record the respective process variables level, flow, pressure, temperature, pH or conductivity .
  • actuators are used, such as valves or pumps, via which e.g. the flow of a liquid in a pipeline or the level of a medium in a container is changed.
  • the term 'field device' used in connection with the invention thus includes all types of measuring devices and actuators.
  • field devices are also all devices which are used close to the process and which are process-relevant
  • Measuring devices / sensors and actuators are generally referred to as field devices also those units which are connected directly to a field bus and to
  • the bus systems can be designed both wired and wireless.
  • the at least one higher-level control unit is used for process control, process visualization, process monitoring and commissioning and operation of the field devices and is also referred to as a configuration / management system.
  • the field devices are connected to at least one PLC. Often several PLCs are connected in series
  • the known automation systems are hierarchically structured and have a static structure.
  • the disadvantage of a static or fixed wiring is that there is no flexibility in the structure and data exchange. Access to the field devices is only possible indirectly, since the field devices usually fix
  • the at least one PLC forms a central one
  • the invention has for its object to make a system of automation system flexible.
  • the object is achieved by a system having at least one computer and a multiplicity of field devices for determining and / or monitoring physical or chemical process variables, wherein the at least one computer and the field devices are network-capable and interconnected via a network or
  • each computer and each field device assigned a unique address in the network or can be assigned and wherein the communication is via a defined network protocol, wherein the networkable computer or the networkable computers at least one investment model is assigned to the
  • Investment model is designed so that it is flexible to different investment topologies, different investment functions and / or a different interaction of the field devices with each other and with the at least one computer adaptable, and wherein the at least one computer via the investment model, the automation system according to the current investment topology, the current System function and / or the current interaction of the field devices with each other and with the at least one computer controls.
  • All field devices are connected or connectable directly via a network (eg TCP / IP, WLAN, EtherCAT, Ethernet / IP, ModbusTCP, ProfiNET, ...) to at least one computer arranged in the cloud.
  • a network eg TCP / IP, WLAN, EtherCAT, Ethernet / IP, ModbusTCP, ProfiNET, .
  • Each of the field devices has a one-to-one address and is equipped to handle the network protocol.
  • the term "cloud” is understood to mean a usually redundant network of computers that has an internal or external network and a standard IT infrastructure. The system according to the invention offers increased security and flexibility against a hardware failure.
  • Field devices connected to the computers of the cloud can either send the data or measured values generated by them cyclically automatically, or the field devices deliver the data or measured values to the computers via a classical request / reply communication via polling.
  • the investment system according to the invention is mapped virtualized via an investment model in the cloud.
  • the investment model corresponds to the investment structure and the investment function and defines the interaction of the field devices.
  • the investment model is one
  • An asset is model-based planned and executed as a software model.
  • the cloud provides computing and storage capacity for the execution of the investment model.
  • Each model of the system may have u.U. also other properties. So can the
  • adjustments may reflect changes in product characteristics or the amount of product fume.
  • it can be adapted to changed energy tariffs during different times of day, failed system parts can be replaced by any existing equivalent redundant system parts, etc.
  • changing the investment model it may u.U. necessary, the
  • the automation system can be scaled much easier, i. the plant can be extended by additional field devices, since the plant topology is independent of the underlying network structure. This is not possible in the prior art, since only one defined, maximum possible number of field devices can be connected to a controller. If this maximum possible number is exceeded, an additional controller must be used.
  • the processing capacity of the computers in the cloud can also be done without
  • the system can be optimally adapted in terms of energy consumption, waste reduction or yield and the speed with which a process takes place in the system. For example, it is possible to
  • the solution according to the invention is highly reliable against failure, a) If a measuring device fails, the corresponding measured value is obtained from an alternative, equivalent source. For example, in the event of failure of a temperature sensor, the system structure is redesigned so that an alternative temperature sensor located in the system from another
  • Measuring system e.g. a pH sensor or a flow sensor
  • the plant has a high variability.
  • it is possible to use different products in the system e.g. produce a product A and a product B, as the system can be adapted to the manufacturing process of different products.
  • An advantageous embodiment of the system according to the invention provides for a plurality of computers, that is to say a computer network, the computers being redundant and / or diversified are configured and the computers work redundantly or in combination with each other.
  • any safety standards can be implemented in an automation system. Redundancy means increased safety through double or multiple design of all safety-related hardware and software components. Diversity means that the hardware components responsible for the measurement conditioning, such as one
  • Microprocessor come from different manufacturers and / or that they are of different types. In the case of software components, diversity requires that the software stored in the computers come from different sources, ie from different manufacturers or programmers.
  • Automation system runs a production process that controls at least one computer the process flow production process so that the yield of the products produced is maximum and / or that the amount of waste generated is minimal.
  • Predictive Maintenance, and Advanced Diagnostics ie generation of additional information, eg lifetime of the field device, from diagnostic data, recognizes the at least one computer based on the diagnostic data malfunction and / or predictable or actual failures of faulty field devices. Furthermore, upon detection of a malfunction, the computer transmits the system function of the malfunctioning or failed field device to at least one redundant field device which is likewise available to the system and which is able to take over the system function of the faulty or failed field device.
  • a display is provided on the field device or an external service tool via which the field device is serviced, in particular adjusted, calibrated or verified, or a mobile service tool is provided, which waits for the field device via the at least one computer, in particular adjusted, calibrated or verified.
  • maintenance is defined as either the adjustment (for example, the correction of the calibration factor), the calibration (the determination of the measurement deviation) or the verification (the verification of the calibration factor)
  • the cloud can easily handle at least one
  • Diagnostic data of the sensors / actuators supplied to the computers of the cloud whereby it is possible to process the diagnostic data in the overall context of the system.
  • the known systems for operating an automation system the
  • Diagnostic data is defined and processed using a separate condition monitoring system.
  • the device is locally maintained via a display or a service tool locally and thus without connection to the cloud.
  • the calibration via the connection to the cloud realized via a mobile device (such as a smartphone, a laptop or a tablet).
  • the cloud is used in the first case as a connection to the field device; the calibration routines continue to run in the field device here.
  • the complete calibration algorithm including the possibly associated menu guidance runs completely in the cloud - automatically or on manual request.
  • a high degree of availability of the system according to the invention can be achieved if the network-capable computer or the network-capable computers are assigned several investment models that the investment topology, the investment function and the interaction of the field devices with each other and with the at least one computer for different automation systems and / or virtually map production processes, and wherein the computer or the computer, the production plant so
  • the invention relates to a system in which field device-specific or field device type-specific drivers are provided for the individual field devices, the at least one computer parameterizing the field devices via the drivers in such a way that they can be used in the production process and / or in the automation system which corresponds to the selected investment model.
  • the firmware and / or the device drivers of the individual field devices are preferably assigned to the at least one computer.
  • each of the field devices is associated with an electronics, wherein the electronics is configured either as minimum electronics, the raw data of the field devices available - for example, electrical signals that the
  • Information about the process size include - or the electronics is as
  • Transmitter designed and provides processed and / or evaluated data.
  • the electronics are a minimum of electronics
  • the at least one computer performs the processing and / or evaluation of the data provided.
  • the "intelligence" of the field devices is shifted to the cloud, and the evaluation of the data takes place in the cloud.
  • a coupler is provided which makes the field device networkable.
  • the intelligent field device is capable of providing those available in the field device
  • Raw data and the processed and / or evaluated data transmitted to the at least one computer wherein the computer prepares the raw data and / or evaluates and compares the provided prepared and / or evaluated data with the data prepared by the computer and / or evaluated become. It is therefore possible to verify the data transmitted by the field device in the cloud.
  • field devices which can be used are classical field devices which contain the complete signal processing.
  • such field devices are referred to as intelligent (SMART) sensors or actuators.
  • SMART intelligent
  • An example of this is a Coriolis or pH transmitter.
  • the signal processing of field devices can also be easily transferred to the cloud in the system according to the invention.
  • the field device e.g. In this case, a sensor merely takes care of coupling to the analogue world; digital signal processing no longer takes place in the field device itself, but rather in the cloud.
  • improved diagnostic and measurement algorithms are used, which were previously not possible due to size limitations in the firmware in the field devices.
  • the previously extremely time-consuming and complicated firmware updates of the field devices can be realized by a central update of the software in the cloud.
  • the hardware complexity and thus the price of the field devices can also be reduced.
  • By updating the field device algorithms in the cloud an update during operation of the field device can also be realized. This is a temporary parallel operation of old and new
  • Measuring operation must be interrupted.
  • the at least one computer, the firmware and / or the device driver of the individual field devices in at least two different versions, one
  • First version and a successor version are assigned / is and that the at least one computer replaced the first version during operation of the automation system by the successor version, as soon as the successor version works correctly.
  • the investment model or investment models is / are modular and that in the case of multiple computers, the modular investment model and the investment models are divided among the individual computers.
  • the software structure of the cloud is modularized.
  • the cloud software infrastructure can be distributed on the available hardware and adapt to changes, in particular extensions in the hardware resources.
  • the modularity gives the possibility of individual during operation
  • An advantageous further development of the system according to the invention provides that the investment model or investment models are developed on a test system and tested with virtual field device models and that the developed investment model is copied or transferred after the test phase to at least one analog automation system.
  • a plant operator has several physically identical plants, it is possible to develop and optimize the plant model on a plant or on a test plant and then transfer it to the identical plants by means of a "copying process". Thus, a significant simplification of the plant commissioning and plant maintenance can be achieved.
  • a test system with virtual field device models will be developed, simulated and tested. An investment model developed in this way is subsequently transferred to a real investment using "Copy & Paste". Findings from the practical operation of the plant are then transferred to the simulation, where they are optimized and reused in the real operation of the plant. An iterative optimization process is thus carried out. In addition, worst-case scenarios can be checked and improved on the basis of the real investment model.
  • the possibility opens up of copying or transmitting a tested investment model or tested investment models of an automation plant to identical automation plants.
  • the system according to the invention is integrated into an internal company network.
  • the communication is preferably via a VPN tunnel structure.
  • an operator-internal local cloud is to be preferred.
  • the tunnel structure can be extended, so that spatially very large plants can be realized. Examples include gas pipelines, wind farms, water distribution networks, etc.
  • the field devices are operated via the computer or via a mobile operating tool. As a result, the field device can be made specifically for the operation
  • Web server the operation alternatively via a standard device driver.
  • FIG. 1 shows a schematic representation of a system known from the prior art for operating an automation system
  • FIG. 2 shows a schematic illustration of an embodiment of the system according to the invention for operating an automation system
  • FIG. 3 shows a schematic representation which illustrates how two different automation systems can be operated via the system according to the invention.
  • Fig. 1 shows a schematic representation of a known from the prior art system for operating an automation system.
  • the automation system is, as already mentioned, for example, the production of a product, the filling of a medium, the control of a sewage treatment plant, etc.
  • controllers PLC A, PLC B are arranged on the field level depending on the size of the plant.
  • the PLC A, PLC B controllers supply theirs from the
  • Field devices A, S collected data and / or further processed measured values to a higher-level control unit, e.g. a SCADA.
  • a SCADA higher-level control unit
  • Control level a high speed bus BS, e.g. Industrial Ethernet, too
  • Fig. 2 shows a schematic representation of an embodiment of the system according to the invention for operating an automation system.
  • the automation system itself is not shown separately in FIG. 1. However, as already said several times, it can be any industrial plant.
  • the monitoring and / or control of the system also takes place here via different field devices A, S. In the case shown are actuators A and sensors S.
  • the field devices A, S serve for the determination and / or monitoring of physical or chemical
  • the number of computers RE depends on the extent of the calculation and control operations predetermined and to be performed by the at least one investment model AM and also on the desired one
  • Both the computers RE and the field devices A, S must be configured network-capable. They are connected or connectable via a network - ie a wireless or wired Internet or intranet. Each computer RE and each field device A, S is a unique address in the
  • the investment model AM is a virtual image, ie a software image of the system for operating the respective automation system, the investment topology, the investment function and the interaction of the field devices S, A with each other and with the computers RE possibly on the time track describes.
  • the investment model AM is designed such that it can be flexibly adapted to different investment topologies, different investment functions and / or a different interaction of the field devices A, S with each other and with the computers RE.
  • the computers RE control via the respective investment model AM the automation system according to the current investment topology, the current investment function and / or the current interaction of the field devices A, S with each other and with the at least one computer RE.
  • Field devices A, S coupled to the cloud can use the data generated by them or
  • cloud computing Either automatically send measured values cyclically or deliver them to the cloud via a classic request / reply communication via polling by the computers in the cloud.
  • cloud computing or
  • Cloud computing describes the approach, abstracted IT infrastructures, such as hardware, computing capacity, data storage,
  • the system according to the invention makes it possible, if necessary, flexible between
  • the computer RE 2 is in connection with the actuator A1 and the two sensors S1, S2.
  • the computer RE 3 also has connection to the sensor S2 - again redundancy is given here -, the sensor S3 and the actuator A2.
  • the investment model AM B differs from the investment model AM A.
  • two computers RE1, RE3 are needed to operate the automation system.
  • the computer RE1 is connected to the sensor S2 and the additional sensor S4 as well as to the actuator A3.
  • the computer RE3 is according to investment model AM B in conjunction with the sensors S2, S3, S4 and the additional actuator A4. Either there is redundancy and / or diversity again here with respect to the sensors S2 and S4, or individual modules of the software for operating the system are stored in each computer.
  • the computer RE1 could process the raw data of the sensor S4 and process it into measured values, while the computer RE3 carries out a diagnosis on the sensor S4. Or both computers RE1, RE3 can process the raw data and compare the results with each other for verification.

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)
  • Testing And Monitoring For Control Systems (AREA)
  • General Factory Administration (AREA)

Abstract

L'invention concerne un système d'exploitation flexible d'une installation d'automatisation comprenant au moins un calculateur (RE) et une pluralité de appareils de terrain (A, S) servant à déterminer et/ou à surveiller des grandeurs de processus physiques ou chimiques. Le ou les calculateurs (RE) et les appareils de terrain (A, S) sont conçus en vue de leur mise en réseau et ils sont ou peuvent être reliés les uns aux autres par le biais d'un réseau. Une adresse univoque dans le réseau est ou peut être allouée à chaque calculateur (RE) et à chaque appareil de terrain (A, S) et la communication se fait au moyen d'un protocole de réseau défini. Le ou les calculateurs (RE) aptes à la mise en réseau sont associés à au moins un modèle d'installation (AM) qui reproduit sous forme virtuelle la topologie de l'installation, la fonction de l'installation et la coopération des appareils de terrain (S, A) entre eux et avec le ou les calculateurs (RE). Le modèle d'installation (AM) est configuré de telle façon qu'il peut s'adapter de manière flexible à différentes topologies d'installations, à différentes fonctions d'installations et/ou à une coopération différente des appareils de terrain (A, S) entre eux et avec le ou les calculateurs (RE). Le ou les calculateurs (RE) pilotent l'installation d'automatisation, par le biais du modèle d'installation (AM), en fonction de la topologie effective de l'installation, de la fonction effective de l'installation et/ou de la coopération effective des appareils de terrain (A, S) entre eux et avec le ou les calculateurs (RE).
EP14771532.0A 2013-10-07 2014-09-15 Système d'exploitation flexible d'une installation d'automatisation Ceased EP3055745A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE201310111052 DE102013111052A1 (de) 2013-10-07 2013-10-07 System zum flexiblen Betreiben einer Automatisierungsanlage
PCT/EP2014/069588 WO2015051974A1 (fr) 2013-10-07 2014-09-15 Système d'exploitation flexible d'une installation d'automatisation

Publications (1)

Publication Number Publication Date
EP3055745A1 true EP3055745A1 (fr) 2016-08-17

Family

ID=51585086

Family Applications (1)

Application Number Title Priority Date Filing Date
EP14771532.0A Ceased EP3055745A1 (fr) 2013-10-07 2014-09-15 Système d'exploitation flexible d'une installation d'automatisation

Country Status (5)

Country Link
US (1) US20160246294A1 (fr)
EP (1) EP3055745A1 (fr)
CN (1) CN105612467B (fr)
DE (1) DE102013111052A1 (fr)
WO (1) WO2015051974A1 (fr)

Families Citing this family (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102015113981A1 (de) * 2015-08-24 2017-03-02 Endress+Hauser Gmbh+Co. Kg Verfahren und System zur Instandhaltung von zumindest einem einer Vielzahl von Feldgeräten in einer Anlage der Automatisierungstechnik
WO2017077013A1 (fr) * 2015-11-04 2017-05-11 Hochschule Düsseldorf Dispositif de commande avec un programme de commande et une configuration d'appareil pour faire fonctionner un appareil d'automatisation
DE102016124162A1 (de) * 2016-12-13 2018-06-14 Endress+Hauser Process Solutions Ag Verfahren zur applikationsspezifischen Einstellung eines Feldgeräts
US10620613B2 (en) * 2017-08-21 2020-04-14 Fisher-Rosemount Systems, Inc. High performance control server system
EP3454152A1 (fr) * 2017-09-06 2019-03-13 Leuze electronic GmbH + Co. KG Système d'automatisation pour commander une machine ou une installation
EP3454151A1 (fr) * 2017-09-06 2019-03-13 Leuze electronic GmbH + Co. KG Système d'automatisation pour commander une machine ou une installation
EP3467600A1 (fr) * 2017-10-04 2019-04-10 Siemens Aktiengesellschaft Module central de nuage pour une commande programmable par mémoire
DE102018106514A1 (de) * 2018-03-20 2019-09-26 Endress+Hauser Process Solutions Ag Speichern von gerätebezogenen Daten zu Feldgeräten in einer Cloud
EP3554050A1 (fr) * 2018-04-09 2019-10-16 Siemens Aktiengesellschaft Procédé de sécurisation d'un composants d'automatisation
US10955833B2 (en) * 2018-05-29 2021-03-23 Uop Llc Cloud based control for remote engineering
DE102018128254A1 (de) * 2018-11-12 2020-05-14 Endress+Hauser SE+Co. KG Verfahren zur Verbesserung derMessperformance eines zu konfigurierenden Feldgeräts der Automatisierungstechnik
CN113168166A (zh) * 2019-03-19 2021-07-23 千兆跃香港有限公司 灵活动态的工厂
DE102019116120A1 (de) * 2019-06-13 2020-12-17 Endress+Hauser Process Solutions Ag Verfahren zum Bereitstellen eines digitalen Zwillings für ein nicht digitales Feldgerät der Automatisierungstechnik
DE102019121799B3 (de) * 2019-08-13 2021-01-07 Sick Ag Verfahren zur Herstellung eines Sensors
DE102022108940B3 (de) 2022-04-12 2023-08-31 Festo Se & Co. Kg Automatisierungseinrichtung, Prozessventilbaueinheit und Verfahren

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE19639424A1 (de) * 1995-09-25 1997-03-27 Siemens Ag Entwurfsverfahren für die Anlagentechnik und rechnergestütztes Projektierungssystem zur Verwendung bei diesem Verfahren
DE19900884A1 (de) * 1999-01-12 2000-07-20 Siemens Ag System und Verfahren zum Bedienen und Beobachten eines Automatisierungssystems mit Prozeßvisualisierung und Prozeßsteuerung durch virtuelle Anlagenmodelle als Abbild einer realen Anlage
US7720727B2 (en) * 2001-03-01 2010-05-18 Fisher-Rosemount Systems, Inc. Economic calculations in process control system
US7568000B2 (en) * 2001-08-21 2009-07-28 Rosemount Analytical Shared-use data processing for process control systems
US9565275B2 (en) * 2012-02-09 2017-02-07 Rockwell Automation Technologies, Inc. Transformation of industrial data into useful cloud information
DE102011006786B4 (de) * 2011-04-05 2013-04-11 Siemens Aktiengesellschaft Produktsensor, Produkt mit Produktsensor, Anlage und Verfahren zur Kommunikation zwischen Produktsensor und Anlage
US9110452B2 (en) * 2011-09-19 2015-08-18 Fisher-Rosemount Systems, Inc. Inferential process modeling, quality prediction and fault detection using multi-stage data segregation
US9551986B2 (en) * 2011-12-06 2017-01-24 Siemens Aktiengesellschaft SCADA system real-time data and event management on a PC card
US9529348B2 (en) * 2012-01-24 2016-12-27 Emerson Process Management Power & Water Solutions, Inc. Method and apparatus for deploying industrial plant simulators using cloud computing technologies
US9860135B2 (en) * 2013-03-14 2018-01-02 Invensys Systems, Inc. Bulk device preparation
US9472119B2 (en) * 2013-08-26 2016-10-18 Yokogawa Electric Corporation Computer-implemented operator training system and method of controlling the system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
None *
See also references of WO2015051974A1 *

Also Published As

Publication number Publication date
US20160246294A1 (en) 2016-08-25
CN105612467B (zh) 2018-12-18
WO2015051974A1 (fr) 2015-04-16
DE102013111052A1 (de) 2015-04-23
CN105612467A (zh) 2016-05-25

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