EP3987371A1 - Installation industrielle, en particulier installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier et procédé d'exploitation d'une installation industrielle, en particulier d'une installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier - Google Patents

Installation industrielle, en particulier installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier et procédé d'exploitation d'une installation industrielle, en particulier d'une installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier

Info

Publication number
EP3987371A1
EP3987371A1 EP20734713.9A EP20734713A EP3987371A1 EP 3987371 A1 EP3987371 A1 EP 3987371A1 EP 20734713 A EP20734713 A EP 20734713A EP 3987371 A1 EP3987371 A1 EP 3987371A1
Authority
EP
European Patent Office
Prior art keywords
industrial plant
maintenance
production
quality
planning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP20734713.9A
Other languages
German (de)
English (en)
Inventor
Carsten Andreas Klein
Torsten OHM
Jakob Sanders
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.)
SMS Group GmbH
Original Assignee
SMS Group GmbH
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 SMS Group GmbH filed Critical SMS Group GmbH
Publication of EP3987371A1 publication Critical patent/EP3987371A1/fr
Pending 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], 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], 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
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0283—Predictive maintenance, e.g. involving the monitoring of a system and, based on the monitoring results, taking decisions on the maintenance schedule of the monitored system; Estimating remaining useful life [RUL]
    • 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
    • G05B2219/32061—Central controls modules grouped according to function
    • 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

  • Industrial plant in particular plant in the metal-producing industry or the aluminum or steel industry, and method for operating an industrial plant, in particular a plant in the metal-producing industry or the aluminum or steel industry
  • the invention relates to an industrial plant, in particular a plant for the metal-producing industry or the aluminum or steel industry.
  • the invention also relates to a method for operating an industrial plant, in particular a plant in the metal-producing industry or in the aluminum or steel industry.
  • the present invention relates to industrial plants, in particular plants in the metal-producing industry or in the aluminum or steel industry.
  • industrial systems are blast furnaces, direct reduction systems, electric arc furnaces, converters or systems for ladle processes, systems for primary or forming of metals such as continuous or billet casting systems and hot and / or cold rolling systems, or systems upstream or downstream of these systems such as Ovens, e.g. B. rewarming or holding ovens, finishing facilities, coating lines, cooling sections, pickling or annealing, and plant components that are indirectly required for the process, e.g. B. also storage for raw materials (for example ore storage), intermediate products (for example slab or coil storage) or end products, storage (for example for gases) or other auxiliary systems such.
  • B. Transport facilities or devices such as cranes, ladle cars or trains.
  • the industrial plant according to the invention also relates to a combination of several of the mentioned plants for the production of several products in one production sequence.
  • Such industrial plants typically include the following systems: a production planning system for creating a production sequence for the industrial plant, an automation system for controlling the industrial plant and for executing the production sequence created by the production planning system, a condition monitoring system for monitoring one or more areas of the industrial plant, a quality management system for recording quality properties of the industrial plant, a maintenance planning system for planning maintenance work to be carried out in the industrial plant.
  • a disadvantage of the industrial systems known from the prior art is that the individual systems are closed and data is generally not exchanged. Since the systems also use their own data structures, data exchange would be difficult to implement. Furthermore, there are useful tasks in the operation of the industrial plant that cannot be clearly assigned to a single system and therefore cannot be taken into account.
  • WO 2018/145947 A1 proposes an exchange of data between the individual systems of the industrial plant to improve the operation of an industrial plant.
  • the invention is based on the object of optimizing the operation of an industrial plant, in particular to improve the plant utilization, the component service life, the average quality of the products and the adherence to deadlines.
  • an industrial plant in particular a plant for the metal producing industry or the aluminum or steel industry, comprising: a production planning system for creating a production sequence for the industrial plant, an automation system for controlling the industrial plant and for executing the ones created by the production planning system Production sequence, a condition monitoring system for monitoring one or more areas of the industrial plant, a quality management system for recording quality characteristics of the products manufactured in the industrial plant, a maintenance planning system for planning maintenance work to be carried out in the industrial plant, which is characterized by the fact that the industrial plant furthermore comprises a central data collection and analysis unit for collecting the data from the production planning system, the automation system, and the status monitoring management system, the quality management system and / or the maintenance planning system and to analyze the collected data to optimize the production and maintenance processes of the industrial plant.
  • a production planning system for creating a production sequence for the industrial plant
  • an automation system for controlling the industrial plant and for executing the ones created by the production planning system Production sequence
  • a condition monitoring system for monitoring one or more areas of the industrial plant
  • a quality management system for recording
  • the data of the production planning system, the automation system, the condition monitoring system, the quality management system and the Maintenance planning systems are thus collected centrally, for example in that these systems transfer the data to the central data collection and analysis unit. Since all data of the industrial plant are available at a central point, all of the collected data can be evaluated with regard to improving the process in the industrial plant. From the analysis, the operation of the industrial plant can be optimized with regard to different criteria.
  • a central analysis of the collected data has the advantage that the overall performance of the industrial plant can be optimized, while in a decentralized analysis of the data only the parameters relevant in a system would be taken into account during an optimization. Even if the individual systems exchange data with one another, the optimization would only take place within one system and, under certain circumstances, would neglect optimizations from other systems.
  • the data collection and analysis unit is used to control the production planning system, the automation system, the condition monitoring system, the Quality management system and / or the maintenance planning system.
  • the data collection and analysis unit can thus, after analyzing the collected data, implement the optimization found directly in the production planning system, automation system, condition monitoring system, quality management system and / or maintenance planning system. For this purpose, suitable information regarding the control of the corresponding systems is transmitted and implemented locally. Control actions no longer have to be carried out in the individual systems in order to implement the optimization found.
  • the data collection and analysis unit has a graphical user interface, in particular a uniform user interface for the production planning system, the automation system
  • the data collection and analysis unit can be operated intuitively using a graphical user interface. It is particularly useful if the graphical user interface of the data collection and analysis unit at the same time has a uniform graphical user interface for the production planning system, the automation system
  • Condition monitoring system the quality management system and / or the maintenance planning system provides.
  • the operating personnel only have to familiarize themselves with a graphical user interface and the operation of the entire industrial system is simplified for the operating personnel.
  • the data of the production planning system, the automation system, the condition monitoring system, the quality management system and / or the maintenance planning system are divided into a quality catalog, a planning list, a process catalog, a maintenance catalog, a status monitor, a maintenance monitor, a process monitor and / or a Quality monitor.
  • the quality catalog contains the quantity of all producible products with their respective quality requirements.
  • the planning list contains the quantity of all products due for production together with their quality requirements, in particular references to the quality catalog.
  • the process criteria are listed that are necessary to achieve a certain quality requirement from the quality catalog.
  • the maintenance catalog lists all maintenance measures that are suitable or necessary to remedy an existing or expected restriction.
  • the status monitor contains the current and the forecast status of the system with regard to existing or expected restrictions, in particular related to entries from the process catalog.
  • the maintenance monitor contains information on all maintenance measures that have already been planned.
  • the process monitor contains the process data from production.
  • the quality monitor contains the achieved qualities of the individual products.
  • the object is also achieved by a method for operating an industrial plant, in particular a plant in the metal-producing industry or the aluminum or steel industry, preferably an industrial plant according to the invention, comprising the steps:
  • the collection of data from the production planning system, automation system, condition monitoring system, quality management system and / or maintenance planning system in the central data collection and Analysis unit can take place in that the individual systems transmit their data to the central data collection and analysis unit or this calls up the data from the individual systems.
  • the central data collection and analysis unit can transmit data to the individual systems or the individual systems can call up data from the central data collection and analysis unit.
  • the data collection and analysis unit can provide a database for storing the data of the individual systems, which is accessible from all systems of the industrial plant.
  • the central data collection and analysis unit makes it possible to significantly reduce the effort involved in exchanging data between the individual systems, especially since not all systems have to be adapted for each data exchange with a different system.
  • the method comprises the step of accessing, processing and / or modifying the collected data in the data collection and analysis unit by the production planning system, the automation system, the condition monitoring system, the quality management system and / or the maintenance planning system. All systems of the industrial plant thus have full access to the data in the central data collection and analysis unit.
  • the analysis of the collected data is based on a machine learning method and / or a statistical method, the machine learning method and / or the statistical method, in particular, depicting the entire process running in the industrial plant.
  • the machine learning method and / or the Static methods are selected, for example, from: classification, regression, for example using linear models, neural networks, decision trees, ensemble methods, support vector machines, hidden Markov models, or the like.
  • methods from the area of unsupervised learning such as cluster algorithms (e.g. k-means, k-modes, k-prototypes, DBSCAN, Gaussian Mixture Models, etc.) can also be used.
  • Algorithms such as Gradient Descent, Backpropagation, Reinforcement Learning, Actor-Critic-Process, Evolutionary Development can be used to train the methods.
  • the machine learning methods have the advantage that the accuracy of the predictions of the process in the industrial plant improves continuously over time, which also improves the optimization.
  • the collection of data comprises:
  • the optimization of the production and maintenance processes in the industrial plant is based on a prognosis of future states of the industrial plant. Based on the Collected data from the individual systems of the industrial plant, a forecast is made with respect to future states of the industrial plant. This prognosis is created, for example, by a machine learning process, in particular a continuously improving artificial intelligence. On the basis of the forecast, the manufacturing and maintenance processes are optimized in the industrial plant and then carried out.
  • the prognosis of the future states of the industrial plant comprises: prognosis for the achievement of target qualities per product piece,
  • Forecast of the consumption of resources used and / or
  • Forecast of the consumption of spare parts / consumables used is aimed at:
  • the optimization of the manufacturing and maintenance processes in the industrial plant is achieved by:
  • the method comprises the step of evaluating the optimization of the manufacturing and maintenance process in the industrial plant, the evaluation of the optimization comprising, for example:
  • a uniform graphical user interface for executing the method according to the invention on a computing device.
  • the production planning system, the automation system, the condition monitoring system, the quality management system and / or the maintenance planning system are also expediently controlled via the uniform graphical user interface.
  • a uniform graphical user interface for controlling all systems of the industrial plant is provided.
  • interfaces for transmitting, querying and / or modifying data are provided in the central data collection and analysis unit. Thanks to the interfaces provided, the data collection and analysis unit can be integrated into existing industrial systems, as the interfaces take over communication with the existing systems within the industrial system.
  • the data in the central data collection and analysis unit include: a quality catalog in which the quantity of all products that can be produced are contained with their respective quality requirements, a planning list in which the quantity of all products to be produced together with their quality requirements are contained, for example by reference to the quality catalog, a process catalog in which the process criteria are listed that are required to achieve a certain quality requirement from the quality catalog, a maintenance catalog in which all Maintenance measures are listed that are suitable and / or necessary to remedy an existing or expected restriction, a status monitor in which the current and / or forecast status of the industrial system and / or existing or expected restrictions, in particular with regard to the process catalog, contain are, a maintenance monitor in which information is contained on all maintenance measures already planned, a process monitor in which the process data from production are contained, and / or a quality monitor in which the quality achieved of the individual products are included.
  • a quality catalog in which the quantity of all products that can be produced are contained with their respective quality requirements
  • a planning list in which the quantity of all products to be produced together with their quality requirements are
  • Maintenance measures can be planned automatically based on the quality requirements of the upcoming production.
  • the following data are linked and analyzed in the central data collection and analysis unit: Planning list -> Quality catalog -> Condition monitor -> Maintenance catalog -> Planning.
  • the production planning can be restricted to those products or their production can be brought forward that are compatible with the current and expected restrictions up to production, whereby the Downtimes are reduced and output and component service life are increased.
  • the following data is linked and analyzed in the central data collection and analysis unit: Status monitor -> Maintenance monitor -> Maintenance catalog -> Planning list -> Planning.
  • the output can be increased in that a systematic comparison is carried out between process states and the achievable quality.
  • the following data is linked and analyzed in the central data collection and analysis unit: Status monitor -> Process monitor -> Quality monitor -> Process catalog -> Planning list -> Planning.
  • the output can be increased and reduced product quality reduced by linking information from the status monitor and the planning list together in production planning and avoiding rescheduling.
  • the data from the process monitor and data from the quality monitor are linked to one another in order to create new entries in the process catalog or to modify existing entries. This means that the system constantly learns which conditions are really relevant for a certain quality requirement.
  • the data from the condition monitor and those from the quality monitor are linked to one another in order to create new entries in the maintenance catalog or to modify existing entries. In this way, the system constantly learns the relationship between the system status and product quality and which measures have a positive effect on which system status and product properties.
  • adherence to deadlines increases through better predictability of downtimes, through the more frequent achievement of the required product quality and the more targeted planning of products.
  • the maintenance costs are reduced by increasing the component service life and continuously optimizing maintenance planning.
  • Fig. 1 is a schematic view of an industrial plant according to the invention
  • the industrial plant 1 shows a schematic view of an industrial plant 1 according to the invention, in particular a plant in the metal-producing industry or the aluminum or steel industry.
  • the industrial plant 1 comprises a production planning system 2 for creating a production sequence for the industrial plant 1, an automation system 3 for controlling the industrial plant 1 and for executing the
  • the industrial plant 1 further comprises a central data collection and analysis unit 7 for collecting the data of the production planning system 2, the automation system 3, the condition monitoring system 4, the quality management system 5 and / or the maintenance planning system 6 and for analyzing the collected data to optimize the production and maintenance processes of the industrial plant 1.
  • the data exchange between the individual systems 2, 3, 4, 5, 6 and the central data collection and analysis device 7 is preferably carried out bi directional, as illustrated by the double arrows.
  • the data collection and analysis device 7 is expediently designed to control the production planning system 2, the automation system 3, the condition monitoring system 4, the quality management system 5 and / or the maintenance planning system 6.
  • the data collection and analysis unit 7 also has a graphical user interface 8, in particular a uniform user interface 8 for the production planning system 2, the automation system 3, the condition monitoring system 4, the quality management system 5 and / or the maintenance planning system 6.
  • the data of the production planning system 2, the automation system 3, the condition monitoring system 4, the quality management system 5 and / or the maintenance planning system 6 are preferably divided into a quality catalog, a planning list, a process catalog, a maintenance catalog, a status monitor, a maintenance monitor, a process monitor and / or a quality monitor.
  • the invention relates in particular to a method of an industrial plant 1, in particular a plant in the metal producing industry or the aluminum or steel industry, for example an industrial plant 1 according to FIG. 1.
  • the method according to the invention comprises the steps:
  • the production planning system 2 and the maintenance planning system 6 can access, process and / or modify the data collected in the central data collection and analysis unit 7.
  • the analysis of the collected data is preferably based on a machine learning method and / or a statistical method, the machine learning method and / or the statistical method in particular depicting the entire process running in the industrial plant 1.
  • the collection of data includes, for example:
  • the optimization of the manufacturing and maintenance processes in the industrial installation 1 is advantageously based on a forecast of future states of the industrial installation 1.
  • the forecast of the future states of the industrial installation 1 includes, for example: Forecast for the achievement of target qualities per product piece,
  • Forecast of the consumption of resources used and / or
  • Forecast of the consumption of spare parts / consumables used is a forecast of the consumption of spare parts / consumables used.
  • the optimization of the manufacturing and maintenance processes in the industrial plant 1 is aimed, for example, at:
  • the optimization of the manufacturing and maintenance processes in the industrial plant 1 is expediently evaluated. It is therefore checked whether the optimized manufacturing and maintenance processes have achieved the expected benefits.
  • the evaluation of the optimization includes, for example:
  • the method according to the invention provides a uniform graphical user interface 8 for executing the method according to the invention on a computing device, wherein the computing device can be designed as the central data collection and analysis unit 7.
  • the computing device can be designed as the central data collection and analysis unit 7.
  • the central data collection and analysis unit 7 in particular provides interfaces for transmitting, querying and / or modifying data, via which in particular the production planning system 2, the automation system 3, the condition monitoring system 4, the quality management system 5 and / or the maintenance planning system 6 access the data in can access the central data collection and analysis unit and process and / or modify them if necessary.
  • the data in the central data collection and analysis unit 7 include, for example: a quality catalog in which the quantity of all producible products with their respective quality requirements are contained, a planning list in which the quantity of all products pending production together with their quality requirements, for example by reference to the quality catalog , a process catalog in which the process criteria are listed that are required to achieve a specific quality requirement from the quality catalog, a maintenance catalog in which all maintenance measures are listed that are suitable and / or necessary to remedy an existing or expected restriction, a Status monitor in that the current and / or forecast status of the industrial plant 1 and / or existing or expected restrictions, in particular with regard to the process catalog, are included, a maintenance monitor in the Infor information on all planned maintenance measures are included, a process monitor in which the process data from production are contained, and / or a quality monitor in which the achieved qualities of the individual products are contained.
  • a quality catalog in which the quantity of all producible products with their respective quality requirements are contained
  • a planning list in which the quantity of all products pending production together with their quality requirements

Abstract

La présente invention concerne une installation industrielle (1) et un procédé d'exploitation d'une installation industrielle (1), en particulier une installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier, comportant un système de planification de production (2) pour générer une séquence de production, un système d'automatisation (3) pour commander l'installation industrielle (1) et pour exécuter la séquence de production générée, un système de surveillance d'états (4) pour surveiller une ou plusieurs zones de l'installation industrielle (1), un système de gestion de la qualité (5) pour saisir des caractéristiques de qualité des produits fabriqués, un système de planification d'entretien (5) pour planifier des travaux d'entretien à effectuer dans l'installation industrielle (1) qui est caractérisée en ce que l'installation industrielle (1) comporte en outre une unité centrale de collecte et d'analyse de données (7) pour collecter les données du système de planification de production (2), du système d'automatisation (3), du système de surveillance d'états (4), du système de gestion de la qualité (5) et du système de planification d'entretien (6) et pour analyser les données collectées pour optimiser les processus de production et d'entretien de l'installation industrielle (1).
EP20734713.9A 2019-06-24 2020-06-24 Installation industrielle, en particulier installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier et procédé d'exploitation d'une installation industrielle, en particulier d'une installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier Pending EP3987371A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102019209110.5A DE102019209110A1 (de) 2019-06-24 2019-06-24 Industrielle Anlage, insbesondere Anlage der metallerzeugenden Industrie oder der Aluminium- oder Stahlindustrie und Verfahren zum Betreiben einer industriellen Anlage, insbesondere einer Anlage der metallerzeugenden Industrie oder der Aluminium- oder Stahlindustrie
PCT/EP2020/067642 WO2020260361A1 (fr) 2019-06-24 2020-06-24 Installation industrielle, en particulier installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier et procédé d'exploitation d'une installation industrielle, en particulier d'une installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier

Publications (1)

Publication Number Publication Date
EP3987371A1 true EP3987371A1 (fr) 2022-04-27

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Family Applications (1)

Application Number Title Priority Date Filing Date
EP20734713.9A Pending EP3987371A1 (fr) 2019-06-24 2020-06-24 Installation industrielle, en particulier installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier et procédé d'exploitation d'une installation industrielle, en particulier d'une installation de l'industrie métallurgique ou de l'industrie de l'aluminium ou de l'acier

Country Status (5)

Country Link
EP (1) EP3987371A1 (fr)
CN (1) CN114026511A (fr)
DE (1) DE102019209110A1 (fr)
TW (1) TWI768386B (fr)
WO (1) WO2020260361A1 (fr)

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CN114026511A (zh) 2022-02-08
WO2020260361A1 (fr) 2020-12-30
TW202109222A (zh) 2021-03-01
TWI768386B (zh) 2022-06-21

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