TWI768386B - Industrial plant, particularly plant of the metal-producing industry or the aluminium or steel industry, and method of operating an industrial plant, particularly plant of the metal-producing industry or the aluminium or steel industry - Google Patents

Abstract

The invention relates to an industrial plant (1) and a method for operation an industrial plant (1), particularly plant of the metal-producing industry or the aluminium or steel industry, comprising: a production planning system (2) for creating a production sequence, an automation system (3) for controlling the industrial plant (1) and for carrying out the created production sequence, a status monitoring system (4) for monitoring one or more regions of the industrial plant (1), a quality management system (5) for detection of quality characteristics of the products produced and a maintenance planning system (6) for planning maintenance operations, which are to be carried out, in the industrial plant (1), which is distinguished by the fact that the industrial plant (1) further comprises a central data collecting and analysis unit (7) for collection of the data of the production planning system (2), the automation system (3), the status monitoring system (4), the quality management system (5) and the maintenance planning system (6) and for analysis of the collected data for optimisation of the production and maintenance processes of the industrial plant (1).

Description

Industrial plants, especially for the metal production industry or for the aluminium or steel industry, and methods for operating industrial plants, especially for the metal production industry or for the aluminium or steel industry

The present invention relates to an industrial plant, in particular a plant for the metal production industry or the aluminium or steel industry. The invention further relates to a method of operating an industrial plant, in particular a plant for the metal production industry or the aluminium or steel industry.

The present invention relates to industrial plants, in particular plants for the metal production industry or the aluminium or steel industry. Examples of industrial plants of this type are blast furnaces, direct reduction plants, electric arc furnaces, converters or plants for the ladle process, primary forming or shaping plants for metals, such as continuous casting plants or billet foundries and hot rolling plants and/or Cold-rolling plants, or plants upstream or downstream of such plants, such as furnaces, such as reheat or holding furnaces, precision machining equipment, coating lines, cooling paths, pickling or annealing facilities, and parts of plants directly required by the process, such as raw material storage areas (e.g. ore storage areas), intermediate products (e.g. such as slab storage areas or coil storage areas) or final products, storage tanks (eg gas) or other auxiliary plants such as transport equipment or transport means such as cranes, barrel cars or trains. In detail, an industrial plant according to the invention also relates to a combination of several plants in a stated plant for producing a plurality of products in a production sequence.

An industrial plant of that kind usually contains the following systems: a production planning system for creating production sequences for the industrial plant, an automation system for controlling the industrial plant and for carrying out the production sequences created by the production planning system, a condition monitoring system, It is used to monitor one or more areas of an industrial plant, a quality management system, which is used to detect the quality characteristics of products produced in an industrial plant, and a maintenance planning system, which is used to plan maintenance to be performed in an industrial plant operate.

A disadvantage of the industrial plants known from the prior art is that the individual systems are closed and usually no data exchange takes place. Since the system additionally uses individual data structures, data exchange will be difficult. Furthermore, there are beneficial tasks in the operation of industrial plants that cannot be uniquely associated with a single system and therefore cannot be considered.

Due to the division into stated systems, there is additionally the disadvantage that the user has to be familiar with each system, especially its operation, and in case of changes and/or expansions of the industrial plant, it is possible to adapt several systems.

In order to improve the operation of an industrial plant, WO 2018/145947 A1 proposes data exchange between individual systems of an industrial plant. However, due to the different systems, different data structures of individual systems and interfaces that do not match each other, this can only be achieved with a relatively high initial outlay.

The present invention has the goal of optimizing the operation of industrial plants, in particular for improving plants Utilization, component life, average product quality and compliance with delivery dates.

According to the invention, this object is achieved by an industrial plant, in particular a plant for the metal production industry or the aluminum or steel industry, comprising: a production planning system for creating production sequences for the industrial plant, an automation system , which is used to control an industrial plant and to carry out production sequences created by a production planning system, a condition monitoring system, which is used to monitor one or more zones of an industrial plant, a quality management system, which is used to detect in the industrial plant Quality characteristics of the products produced, and a maintenance planning system for planning maintenance operations to be carried out in an industrial plant characterized by the fact that the industrial plant further comprises a central data collection and analysis unit for Data from production planning systems, automation systems, condition monitoring systems, quality management systems and/or maintenance planning systems is collected and used to analyze the collected data for optimizing production and maintenance processes in chemical industrial plants.

Therefore, data from production planning systems, automation systems, condition monitoring systems, quality management systems and maintenance planning systems are collected centrally, for example, because these systems transmit data to a central data collection and analysis unit. Since all data for an industrial plant exists at a central point, all collected data can be evaluated relative to process improvements in an industrial plant. Thanks to this analysis, the operation of the industrial plant can be optimized with respect to different criteria.

Depending on the individual optimization goals, it is not absolutely necessary to collect and analyze data from all systems in an industrial plant in a central data collection and analysis unit. If the data for one or more of the systems is not relevant to a particular optimization goal, the corresponding system and its data may be ignored.

Since the individual systems of an industrial plant transmit data to a central data collection and analysis unit in each case, the expenditure on data exchange is significantly reduced since individual systems do not have to transmit their data to several different systems. Especially with respect to different data structures, interfaces and transport protocols Certainly, this will be a complex task and will need to be comprehensively adapted to all systems of the industrial plant.

Furthermore, a centralized analysis of the collected data has the advantage of optimizing the overall performance of an industrial plant, whereas in the case of a decentralized analysis of the data, only the parameters that are relevant in one system will be considered for optimization. Even if individual systems do exchange data with each other, the optimization will only be done within one system, and in some cases optimizations of other systems will be ignored.

According to an advantageous variant of the invention, the data collection and analysis unit is configured for controlling a production planning system, an automation system, a condition monitoring system, a quality management system and/or a maintenance planning system. The data collection and analysis unit, after analyzing the collected data, can thus directly implement the optimizations found in the production planning system, the automation system, the condition monitoring system, the quality management system and/or the maintenance planning system. For that purpose, appropriate information items about the control of the corresponding system are transmitted and converted locally. Thus, it is no longer necessary to perform control actions in individual systems in order to achieve the found optimizations.

According to a particularly advantageous variant of the invention, the data collection and analysis unit comprises a graphical user interface, in particular a unified user interface for production planning systems, automation systems, condition monitoring systems, quality management systems and/or maintenance planning systems. The data collection and analysis unit is intuitively operated through a graphical user interface. It is particularly advantageous that the graphical user interface of the data collection and analysis unit simultaneously provides a unified graphical user interface for the production planning system, the automation system, the condition monitoring system, the quality management system and/or the maintenance planning system. Therefore, the operator only needs to be familiar with the graphical interface, and for this operator, the operation of the entire industrial plant is simplified.

In a variant of the invention, the data of the production planning system, the automation system, the condition monitoring system, the quality management system and the maintenance planning system are divided into a quality catalog, a planning list, a process catalog, a maintenance catalog, a condition monitor, a maintenance monitor , Process Monitor and/or Quality Monitor. The quality catalog contains the quantities of all products that can be produced, together with the individual quality requirements for those products. The planning list contains the quantities of all products to be produced, together with the quality requirements of these products, in particular the reference quality catalogue. The Process Catalog lists the process criteria required to achieve specific quality requirements from the Quality Catalog. maintenance directory List all maintenance measures appropriate or required to remove existing or anticipated limitations. The Status Monitor contains the current and predicted status of the plant with respect to existing or expected constraints, especially with respect to entries from the Process Catalog. The Maintenance Monitor contains information about all planned maintenance actions. The Process Monitor contains process data from production. The quality monitor contains the realized quality of the individual product.

This object is additionally achieved by a method of operating an industrial plant, in particular a plant for the metal production industry or the aluminium or steel industry, preferably an industrial plant according to the invention, the method comprising the steps of: central data collection and The data of the production planning system, automation system, condition monitoring system, quality management system and/or maintenance planning system is collected in the analysis unit, and the collected data is analyzed by the data collection and analysis unit to optimize the production in the chemical industry plant and maintenance process, and implement optimized production and maintenance process by means of production planning system and maintenance planning system.

Collect 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, and transmit their data to the central data collection and analysis unit through individual systems. to be executed, or thus from individual system call data. Likewise, the central data collection and analysis unit can transmit data to individual systems or individual systems, which can call data from the central data collection and analysis unit. In particular, the data collection and analysis unit can provide a database for storing data of individual systems, which can be accessed by all systems in an industrial plant. With a central data collection and analysis unit, the outlays associated with data exchange between individual systems can be significantly reduced, especially since not all systems have to be suitable for every data exchange with another system.

Due to the fact that the data of all relevant systems of an industrial plant are present in the data collection and analysis unit, it is possible to provide an integrated analysis and optimization, whereas according to the prior art, in all cases only part of the implementation in the subsystem optimize.

According to an advantageous variant of the invention, the method comprises, by means of a production planning system, automatic The steps for accessing, processing and/or modifying the collected data in the data collection and analysis unit by the chemical system, condition monitoring system, quality management system and/or maintenance planning system. All systems in the industrial plant thus have full access to the data in the central data collection and analysis unit.

In a particularly advantageous variant of the invention, the analysis of the collected data is based on machine-based learning methods and/or based on statistical methods, wherein machine-based learning methods and/or statistical methods in particular reproduce the entire process experienced in an industrial plant . Machine-based learning methods and/or statistical methods are selected, for example, from classification by, for example, linear models, neural networks, decision trees, ensemble methods, support vector machines, Hidden-Markov models, etc. ,return. However, methods from unmonitored domains of learning, such as clustering algorithms (eg, k-means, k-mode, k-prototype, DBSCAN, Gaussian mixture models, etc.) can also be utilized. To train these methods, algorithms such as gradient descent, backpropagation, reinforcement learning, actor-critic methods, evolutionary development can be utilized. In particular, machine-based learning methods have the advantage that the prediction accuracy of processes in industrial plants continues to improve over time, thereby similarly improving optimization.

According to a variant of the invention, the collection of data includes: monitoring the status of components, plant parts or the entire industrial plant, monitoring the rate/frequency of component failures, downtime and maintenance expenditures, monitoring product quality, monitoring used material inventory, monitoring replacement part inventory , planning the use of personnel for the operation of industrial plants, and/or establishing technical target specifications for the production of individual products in industrial plants.

According to a particularly advantageous variant of the invention, the optimization of the production and maintenance processes in the industrial plant is based on predictions of the future state of the industrial plant. Predictions about the future state of industrial plants are formed based on collected data. This prediction is made by, for example, machine-based learning processes, especially continuous Created with improved artificial intelligence. Optimization of production and maintenance processes in industrial plants is carried out based on forecasts and subsequently validated.

According to a variant of the invention, the prediction of the future state of the industrial plant comprises: a prediction for achieving the target quality of each product item, a prediction of a possible delivery date, a prediction about the consumption of the resources used, and/or about Prediction of consumption of used replacement parts/consumables.

According to another variant of the invention, the optimization of production and maintenance processes in industrial plants aims at: maximization of plant serviceability, maximization of output, maximization of output (yield and product quality), maximization of used resources Minimize, minimize maintenance expenditure

Minimization of replacement part costs, minimization of personnel expenditures, minimization of resource costs, maximization of benefits, especially in the sense of product mix control, maximization of reliability of compliance with delivery dates, factory serviceability maximization of reliability, minimization of storage costs, minimization of occupied capital, and/or maximization of the overall economics of the operation of the industrial plant.

According to a variant of the invention, the optimization of production and maintenance processes in industrial plants is achieved by This is achieved by: planning production sequences in the entire industrial plant and/or in individual sub-areas/production units, allocating production orders to individual production units, planning transport and storage operations, ordering materials for use, and/or ordering replacement parts .

In a particularly advantageous variant of the invention, the method comprises the step of evaluating the optimization of the production and maintenance processes in the industrial plant, wherein the evaluation of the optimization includes, for example: evaluating the reliability of the production plan, evaluating the performance of the measures/processes Economical utilization, assessing the achievement of optimization objectives, especially compared to the assumed unoptimized operation of industrial plants.

According to this variant according to the invention, it is checked whether the optimization made actually achieves the predicted advantages/uses.

According to another variant of the invention, a unified graphical user interface is provided for performing the method according to the invention on a computing device. Advantageously, production planning systems, automation systems, condition monitoring systems, quality management systems and/or maintenance planning systems are similarly controlled by means of the unified graphical user interface. Therefore, a unified graphical user interface is provided for controlling all systems in an industrial plant. Thus, the operator only needs to be familiar with one graphical user interface in order to control the entire industrial plant and execute the method according to the invention for optimizing production and maintenance processes.

According to an advantageous variant of the invention, an interface for transferring, interrogating and/or modifying data in the central data collection and analysis unit is provided. By providing interfaces, data collection and analysis units can be integrated into existing industrial plants, since these interfaces take over communication with existing systems within the industrial plant.

In a particularly preferred variant of the invention, the data in the central data collection and analysis unit comprises: a quality catalog containing the quantities of all producible products, together with the individual quality requirements for these products, a planning list containing The quantity of all products to be produced, together with the quality requirements of these products such as the reference quality catalog, the process catalog, which lists the process criteria needed to achieve specific quality requirements from the quality catalog, the maintenance catalog, which lists the All maintenance measures appropriate and/or required by or anticipated limitations, Condition Monitors, which contain the current and/or predicted state of industrial plants and/or current or anticipated limitations, in particular with regard to the Process Catalog, Maintenance Monitors, which contain Information items for all planned maintenance actions, process monitors, which contain process data from production, and/or quality monitors, which contain the achieved quality of individual products.

In a variant, it is possible to automatically plan maintenance measures, eg based on the quality requirements of the production to be carried out. For that purpose, the following data are interconnected and analysed in the central data collection and analysis unit: Planning List→Quality List→Condition Monitor→Maintenance List→Plan.

In another variation, the production plan may be limited to those products, or the preferred production of those products that are compatible with current and expected until-production constraints, thereby reducing downtime and increasing output and Component service life. For that purpose, the following data are interconnected and analysed in the central data collection and analysis unit: Condition Monitor→Maintenance Monitor→Maintenance Catalog→Plan List→Plan.

In another variation, the output can be increased due to the systematic reconciliation between process state and achievable quality. For that purpose, the following information is exchanged in the Central Data Collection and Analysis Unit: Connect and analyze: Condition Monitor→Process Monitor→Quality Monitor→Process Catalog→Plan List→Plan.

In another variation, output can be increased and product quality decreased because data from condition monitors and planning lists are linked together in production planning and replanning actions are avoided.

In another variation, the data from the process monitor and the data from the quality monitor are correlated, creating new entries or modifying existing entries in the process directory. The system thus continuously learns which conditions for a particular quality requirement are actually relevant.

In another variant, the data from the status monitor and the data from the quality monitor are correlated, creating new entries or modifying existing entries in the maintenance directory. The system thus continuously learns which correlation exists between plant conditions and production quality, and which measures positively influence which plant conditions and product characteristics.

In another variant, adherence to delivery dates is increased by better predictability of downtime, by more frequent realization of desired product qualities, and by more targeted planning of products.

In another variant, maintenance costs are reduced by an increase in the service life of the components and continuous optimization of the maintenance schedule.

1: Industrial Factory

2: Production planning system

3: Automation system

4: Condition Monitoring System

5: Quality Management System

6: Maintenance planning system

7: Central data collection and analysis unit

8: Unified user interface

The invention is explained in more detail below by means of the embodiment illustrated in the figure, in which: [ FIG. 1 ] shows a schematic view of an industrial plant according to the invention.

Figure 1 shows an industrial plant 1 according to the invention, in particular for the metal production industry or for aluminium Or a schematic diagram of a factory in the steel industry. The industrial plant comprises a production planning system 2 for creating production sequences for the industrial plant 1, an automation system 3 for controlling the industrial plant 1 and for executing the production sequences created by the production planning system 2, for monitoring the industrial plant 1 A condition monitoring system 4 of one or more zones, a quality management system 5 for detecting the quality characteristics of products produced in the industrial plant 1, and a maintenance plan for planning maintenance operations to be carried out in the industrial plant 1 System 6.

According to the present invention, the industrial plant 1 further comprises a central data collection and analysis unit 7 for collecting data from 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 Used to analyze the collected data for optimizing the production and maintenance process of Chemical Industrial Plant 1. The data exchange between the individual systems 2, 3, 4, 5, 6 and the central data collection and analysis unit is preferably bidirectional, as illustrated by the double arrows.

Advantageously, the data collection and analysis unit 7 is configured for controlling 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 further comprises a graphical user interface 8 , in particular a unified 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 condition monitor, Maintenance monitors, process monitors and/or quality monitors.

The invention relates in particular to an industrial plant 1 , in particular a plant for the metal production industry or the aluminium or steel industry, for example the method according to the industrial plant 1 of FIG. 1 . The method according to the invention comprises the steps of collecting data from 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 in the central data collection and analysis unit 7, by means of the data The collection and analysis unit 7 analyzes the collected data for optimizing the Production and maintenance processes, and the implementation of optimized production and maintenance processes by the production planning system 2 and the maintenance planning system 6 .

Production planning system 2, automation system 3, condition monitoring system 4, quality management system 5, and maintenance planning system 6 can access the collected data in the central data collection and analysis unit 7, process such data and/or modify such data .

The analysis of the collected data is preferably based on machine-based learning methods and/or statistical methods, wherein machine-based learning methods and/or statistical methods especially reproduce the entire process experienced in the industrial plant (1).

According to the method according to the invention, the collection of data includes: monitoring the status of components, plant parts or the entire industrial plant 1, monitoring the rate/frequency of component failures, downtime and maintenance expenditure, monitoring product quality, monitoring used material inventory, monitoring replacement Part of the inventory, planning the use of personnel for the operation of Industrial Plant 1, and/or establishing technical target specifications for the production of individual products in Industrial Plant 1.

Advantageously, the optimization of the production and maintenance processes in the industrial plant 1 is based on predictions of the future state of the industrial plant 1 . The forecast of the future state of the industrial plant 1 includes, for example: forecasts for achieving the target quality of each product item, forecasts for possible delivery dates, forecasts for the consumption of used resources, and/or about used replacements Prediction of consumption of parts/consumables.

The optimization of the production and maintenance process in industrial plant 1 aims, for example, to maximize the serviceability of the plant, Maximize output, maximize output (yield and product quality), minimize used resources, and minimize maintenance costs

Minimization of replacement part costs, minimization of personnel expenditures, minimization of resource costs, maximization of benefits, especially in the sense of product mix control, maximization of reliability of compliance with delivery dates, factory serviceability maximization of reliability, minimization of storage costs, minimization of occupied capital, and/or maximization of the overall economics of the operation of the industrial plant 1.

In that case, the optimization of the production and maintenance process in industrial plant 1 is achieved by planning production sequences in the entire industrial plant 1 and/or in individual sub-areas/production units, placing production orders Assign to individual production units, plan transport and storage operations, reserve materials for use, and/or reserve replacement parts.

Advantageously, the optimization of the production and maintenance processes in the industrial plant 1 is evaluated. Therefore, check whether the optimized production and maintenance process achieves the expected benefits. The evaluation of optimization includes, for example: evaluating the reliability of the production plan, evaluating the economical utilization of the measures/processes, Evaluate the achievement of optimization goals, especially compared to the assumed unoptimized operation of the industrial plant.

The method according to the invention makes a unified graphical user interface 8 available for executing the method according to the invention on a computing device, which can be constructed as a central data collection and analysis unit 7 . As stated previously, 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 can in particular be controlled by means of the unified graphical user interface 8 .

The central data collection and analysis unit 7 especially provides interfaces for transmitting, querying and/or modifying data, by means of which, in particular, the production planning system 2, the automation system 3, the condition monitoring system 4, the quality management system 5 and the /or maintenance planning system 6 may access data in the central data collection and analysis unit, and may process and/or modify such data as appropriate.

The data in the central data collection and analysis unit 7 include, for example: a quality catalog, which contains the quantities of all products that can be produced, together with the individual quality requirements for those products, a planning list, which contains the quantities of all products to be produced, together with Such products are, for example, the quality requirements of the reference quality catalog, the process catalog, which lists the process criteria needed to achieve specific quality requirements from the quality catalog, and the maintenance catalog, which lists suitable and/or all necessary to eliminate existing or anticipated constraints. All maintenance measures required, Condition Monitor, which contains current and/or predicted state and/or current or expected limitations of Industrial Plant 1, especially with respect to the Process Catalog, Maintenance Monitor, which contains information about all planned maintenance measures Information items, Process Monitors, which contain process data from production, and/or Quality Monitors, which contain the achieved quality of individual products.

1: Industrial Factory

2: Production planning system

3: Automation system

4: Condition Monitoring System

5: Quality Management System

6: Maintenance planning system

7: Central data collection and analysis unit

8: Unified user interface

Claims (18)

An industrial plant (1), in particular for the metal production industry or the aluminium or steel industry, comprising: a production planning system (2) for creating a production sequence for the industrial plant (1), an automation A system (3) for controlling the industrial plant (1) and for carrying out the production sequence created by the production planning system (2), a condition monitoring system (4) for monitoring the industrial plant ( 1), a quality management system (5) for detecting the quality characteristics of products produced in the industrial plant (1), and a maintenance planning system (6) for Maintenance operations planned to be performed in the industrial plant (1) characterized in that 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 used for integrated analysis of the collected data , for optimizing the production and maintenance processes of the industrial plant (1), wherein the optimization is performed by methods based on machine learning and/or statistical methods, unmonitored methods, and/or training methods , wherein the machine learning-based method and/or the statistical method comprises one or more of classification, regression, linear models, neural networks, decision trees, ensemble methods, support vector machines and hidden Markov models; The unmonitored method includes a clustering method, and the clustering method includes one or more of k-means, k-mode, k-prototype, DBSCAN, and Gaussian mixture models; and the training method includes gradient descent, backpropagation , reinforcement learning, one or more of evaluation-decision methods and evolutionary development. The industrial plant (1) of claim 1, wherein the data collection and analysis unit (7) is configured for controlling the production planning system (2), the automation system (3), the condition monitoring system (4) , the quality management system (5) and/or the maintenance plan planning system (6). An industrial plant (1) as claimed in claim 1 or 2, wherein the data collection and analysis unit (7) comprises a graphical user interface (8), in particular for the production planning system (2), the automation system (3) ), a unified user interface (8) of the condition monitoring system (4), the quality management system (5) and/or the maintenance planning system (6). The industrial plant (1) of claim 1 or 2, wherein the production planning system (2), the automation system (3), the condition monitoring system (4), the quality management system (5) and the maintenance planning system ( 6) The data is divided into a quality directory, a planning list, a process directory, a maintenance directory, a status monitor, a maintenance monitor, a process monitor and/or a quality monitor. A method of operating an industrial plant (1), in particular a plant in the metal production industry or in the aluminium or steel industry, comprising the steps of collecting a production planning system in a central data collection and analysis unit (7) (2), data of an automation system (3), a condition monitoring system (4), a quality management system (5) and/or a maintenance planning system (6) by means of the data collection and analysis unit (7) Integrating and analyzing the collected data for optimizing the production and maintenance processes in the industrial plant (1), and implementing the optimized production planning system (2) and the maintenance planning system (6) by means of the production planning system (2) and the maintenance planning system (6). optimization of the production and maintenance processes, wherein the optimization is performed by methods based on machine learning and/or statistical methods, unmonitored methods, and/or training methods, wherein the The statistical methods include one or more of classification, regression, linear models, neural networks, decision trees, ensemble methods, support vector machines, and hidden Markov models; the unmonitored methods include cluster methods, The clustering method includes k-means, k-mode, k-prototype, one or more of DBSCAN and a Gaussian mixture model; and the training method includes one or more of gradient descent, backpropagation, reinforcement learning, evaluation-decision methods, and evolutionary development. The method of claim 5, comprising using 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) ) to access, process and/or modify the data collected in the data collection and analysis unit (7). The method of claim 5 or 6, wherein the analysis of the collected data is based on a machine-based learning method and/or based on a statistical method, wherein the machine-based learning method and/or the statistical method are reproduced in particular in The entire process experienced in the industrial plant (1). The method of claim 5 or 6, wherein the collecting of the data comprises: monitoring the status of components, parts of the plant or the entire industrial plant (1), monitoring the rate/frequency of component failures, downtime and maintenance costs, monitoring product quality , monitor the inventory of used materials, monitor the inventory of replacement parts, plan the use of personnel for the operation of the industrial plant (1), and/or establish technical target specifications for the production of individual products in the industrial plant (1). The method of claim 5 or 6, wherein the optimization of the production and maintenance processes in the industrial plant (1) is based on a prediction of the future state of the industrial plant (1). The method of claim 9, wherein the prediction of the future states of the industrial plant (1) comprises: Forecasts for achieving the target quality for each product item, forecasts for possible delivery dates, forecasts for consumption of used resources, and/or forecasts for consumption of used replacement parts/consumables. The method of claim 5 or 6, wherein the optimization of the production and maintenance processes in the industrial plant (1) is aimed at: maximization of plant serviceability, maximization of output, output (yield and product quality) ), minimized use of resources, minimized maintenance expenditure, minimized replacement cost, minimized personnel expenditure, minimized resource cost, maximized revenue, especially in the sense of product mix control , maximization of reliability of compliance with delivery dates, maximization of reliability of plant serviceability, minimization of storage costs, minimization of occupied capital, and/or the overall operation of the industrial plant (1) Maximize economy. The method of claim 5 or 6, wherein the optimization of the production and maintenance processes in the industrial plant (1) is achieved by: in the entire industrial plant (1) and/or in individual sub-systems A production sequence is planned in the area/production unit, Allocate production orders to individual production units, plan transport and storage operations, reserve materials for use, and/or reserve replacement parts. The method of claim 5 or 6, comprising the step of evaluating the optimization of the production and maintenance processes in the industrial plant (1). The method of claim 13, wherein the evaluating of the optimization comprises: evaluating the reliability of the production plan, evaluating the economical utilization of the measures/processes, evaluating the achievement of optimization goals, especially compared to the industrial plant ( 1) An assumed unoptimized operation. The method of claim 5 or 6, which includes providing a unified graphical user interface (8) for performing the method of claim 5 or 6 on a computing device. The method of claim 15, wherein the production planning system (2), the automation system (3), the condition monitoring system (4), the quality management system (5) are controlled by means of the unified graphical user interface (8) ) and/or the maintenance planning system (6). The method of claim 5 or 6, which includes providing an interface for transmitting, querying and/or modifying data in the central data collection and analysis unit (7). The method of claim 5 or 6, wherein the data in the central data collection and analysis unit (7) includes: A quality list containing the quantities of all products that can be produced, together with the individual quality requirements of these products, a planning list containing the quantities of all products to be produced, together with these products, for example, refer to those in the quality list Quality requirements, a process catalog listing the process criteria needed to achieve a particular quality requirement from the quality catalog, a maintenance catalog listing all maintenance appropriate and/or required to eliminate an existing or anticipated limitation measures, a condition monitor containing the current and/or predicted state and/or current or expected limits of the industrial plant (1), a maintenance monitor containing items of information on all planned maintenance measures, a process A monitor, which contains process data from production, and/or a quality monitor, which contains the achieved quality of the individual products.

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