WO2014191177A1

WO2014191177A1 - System and method for calculating a productivity of an industrial plant

Info

Publication number: WO2014191177A1
Application number: PCT/EP2014/059458
Authority: WO
Inventors: Francesco Montrone
Original assignee: Siemens Aktiengesellschaft
Priority date: 2013-05-28
Filing date: 2014-05-08
Publication date: 2014-12-04
Also published as: CN105229680B; DE102013209917A1; CN105229680A

Abstract

The invention relates to a system (B-SYS) for calculating a productivity of an industrial plant consisting of plant modules, wherein the plant modules (AM) each have an associated status time share allocation (ZZAV), which are linked by logical elements (VE) that are selected in accordance with a configuration of the industrial plant to form a layout model of the industrial plant, wherein the productivity of the industrial plant in terms of at least one end product is calculated on the basis of the generated layout model by a calculation unit (BE).

Description

description

System and method for calculating productivity of an industrial plant

The invention relates to a method and a system for calculating a productivity of an existing industrial plant of plant modules, in particular an industrial plant, which produces chemical, biochemical or pharmaceutical products. A product may also be electrical energy or the provision of sensor data, e.g. in the case of a building surveillance the provision of video images or data of a fire protection system. When operating an industrial plant, in particular an industrial plant for the production of one or more products, for example chemical, biological or pharmaceutical products, the reliability, availability and maintainability of the industrial plant is of great importance. Therefore, even during the design of such an industrial plant, there is a need to computer-simulate various possible configurations of the industrial plant when planning the industrial plant, in order to increase the productivity of the industrial plant with respect to one or more end products, particularly in the case of plant component failures determine.

This object is achieved by a system having the features specified in claim 1.

According to a first aspect of the invention, therefore, there is provided a system for calculating a productivity of an industrial plant consisting of plant modules,

wherein the plant modules each have an associated state time-share distribution that is linked by configuration elements selected according to a configuration of the industrial plant to a productivity layout model of the industrial plant, wherein Based on the generated layout model, the productivity of the industrial plant with respect to at least one end product is calculated by a calculation unit of the system. In a possible embodiment of the invention

System indicates the state time component distribution of a system module for at least two discrete operating states of the respective system module, the time part of an operating time, during which the system module is in the respective operating state.

In a further possible embodiment of the system according to the invention, the operating states of the state time component distribution of a system module indicate in each case a productivity measure with regard to at least one product delivered by the respective system module.

In a further possible embodiment of the system according to the invention comprises a certain proportion of time at an operating time in which a plant module is in an inactive operating state, a planned time share, which is used in particular for performing maintenance and repair of the respective plant module, and a for Failure events provided for time share.

An advantage here is that maintenance measures or repair measures according to a maintenance or repair plan are included in the calculation of the productivity of the industrial plant.

In a further possible embodiment of the system according to the invention, the state time component distribution of the selectable installation modules is stored in a system module database to which the calculation unit has access.

In another possible embodiment of the system according to the invention are in the state time distribution specified states and / or time shares for the various operating conditions of the system module adjustable.

In one possible embodiment, the time proportions given in the state time proportion distribution can be changed for the various operating states of the system module as a function of system parameters of the industrial system or as a function of environmental parameters. In one possible embodiment of the system according to the invention, the linking elements have arithmetic and / or logic linking elements.

In one possible embodiment of the system according to the invention, one of the selectable linking elements is a combination linking element which generates a state time-share distribution for each possible combination of operating states of upstream plant modules, indicating a productivity measure for each combined state with respect to a product output from the upstream plant modules.

In a further possible embodiment of the system according to the invention, one of the selectable link elements is a minimization link element which generates a state time component distribution for each possible combination of operating states of upstream plant modules, which for each combined state is the minimum of the productivity measures associated with the operating states with respect to one of indicates the upstream product of the delivered product.

In one possible embodiment of the system according to the invention, the plant modules and the linking elements are linked together by means of a graphical editor via link lines for generating the layout model of the industrial plant. In a further possible embodiment of the system according to the invention, the linking lines are each weighted with positive or negative weighting factors. In another possible embodiment of the system according to the invention, the various intermediate and end products of the industrial plant have associated production priorities, which are modeled by link lines with negative weighting factors.

In another possible embodiment of the system according to the invention, a result-state time distribution is calculated for each end product of the industrial plant, which indicates a productivity measure for each operating condition of the entire industrial plant in terms of the final product delivered by the industrial plant.

In another possible embodiment of the system according to the invention, the result-time-share distributions of the various end-products dispensed by the industrial plant are weighted with the respective assigned value per generated amount of the respective final product, maximizing the total value of all final products dispensed by the industrial plant.

In one possible embodiment of the system according to the invention, the end products of the industrial plant have chemical or biochemical or pharmaceutical products. Furthermore, the end products may also be electrical energy or sensor data.

According to a further aspect of the invention, there is provided a method of calculating a productivity of an industrial plant consisting of plant modules having the features of claim 16.

Accordingly, a method for calculating a productivity of an industrial plant consisting of plant modules is described. The plant modules each have an associated state time-share distribution, which is linked by linking elements, which are selected according to a configuration of the industrial plant to a layout model of the industrial plant, based on the generated layout model, the productivity of the industrial Plant is calculated in terms of at least one end product. According to a further aspect of the invention, a planning software tool for planning an industrial installation according to the features specified in claim 17 is provided.

Accordingly, a planning software tool is provided for planning an industrial installation with program instructions for carrying out a calculation method, wherein the calculation method calculates a productivity of an industrial installation consisting of installation modules, wherein the installation modules each have an associated state time share distribution which is determined by linking elements be selected according to a configuration of the industrial plant, are linked to a layout model of the industrial plant, based on the generated layout model, the productivity of the industrial plant is calculated with respect to at least one end product.

According to a further aspect of the invention, an industrial plant with a plant control having the features specified in claim 18 is provided.

Accordingly, an industrial plant with a plant control is provided, which controls plant components of the industrial plant depending on productivity, which are calculated in terms of end products of the industrial plant by a system for calculating a productivity, the plant modules each have an associated state time share distribution, by linking elements , which correspond to a configuration of the industrial can be selected to be linked to a layout model of the industrial plant, wherein based on the generated layout model, the productivity of the industrial plant with respect to at least one end product is calculated by a calculation unit of the system.

In the following, possible embodiments of the system according to the invention and method for calculating a productivity of an industrial plant consisting of plant modules will be explained in more detail with reference to the attached figures.

1 is a block diagram of one possible embodiment of a system for calculating productivity of an industrial plant consisting of plant modules in accordance with an aspect of the invention;

Figures 2, 3, diagrams for explaining the operation of the system according to the invention for calculating a productivity of an industrial plant consisting of plant modules by means of a simple example;

FIGS. 5, 6, 7 are diagrams for explaining linking elements which can be used in the method and system according to the invention;

Fig. 8 diagrams for explaining a time-dependent

Calculating a productivity of an industrial plant consisting of plant modules according to an embodiment of the invention; 9 shows a diagram for explaining the mode of operation of the system according to the invention and method for calculating a productivity of an industrial installation consisting of installation modules;

10 shows a simple example of a layout model generated according to the method and system according to the invention, with which a

Prioritization of end products is possible.

As can be seen from FIG. 1, in the illustrated exemplary embodiment of a calculation system B-SYS according to the invention for calculating a productivity of an industrial plant consisting of plant modules AM, the calculation system B-SYS has a calculation unit BE which, for example, has one or more microprocessors for Execution of program instructions contains. In the exemplary embodiment illustrated, the calculation unit BE has access to a system module database AM-DB and a linking element database VE-DB. In the system module database AM-DB, associated state time-share distributions ZZAV are stored for a large number of different system modules AM. The system modules AM can be simple or elementary system modules, for example valves or pumps, or more complex system components or subsystems, which are composed of elementary system modules. Each plant module AM models an associated plant component in the configurable industrial plant. The industrial plant is, for example, a plant for the production of one or more end products. For example, the industrial plant may be an IGCC (Integrated Gasification Combined Cycle) plant. The IGCC plant is an installation in which a primary fuel, such as coal, biomass or waste, is substoichiometrically converted into high-energy fuel gas in a gasifier. A resulting raw gas is cooled, whereby the waste heat from the exothermic Verga- tion process in a steam cycle of the industrial plant is performed. The raw gas can be cleaned and passes through desulphurisation plants and corresponding filters. Furthermore, the gas is burned in a gas turbine. In addition to the generation of electricity from the synthesis gas, it is possible to generate further material products, in particular hydrogen, methanol, fuels or synthetic natural gas. Such an industrial plant consists of a plurality of plant components, which are connected to each other, in particular via pipes and pipes. An IGCC plant includes, for example, coal mills, silos, soot water systems, and coal gasifiers, the coal gasifiers providing a crude synthesis gas which can be post-processed to ultimately be fed to a combustor of a gas turbine. The coal mills, for example, grind coal, with the crushed coal being stored in special containers or silos containing nitrogen to prevent explosions. The crushed intermediate coal is fed to coal gasifiers, which produce synthesis gas. Coal gasifiers are connected to soot water systems for their purification. Several plant components can form a technical subsystem of the entire industrial plant. For example, a system module AM for a subsystem may consist of interlinked system modules of elementary system components.

Each plant module AM has at least two discrete operating states. For example, a plant module AM has a first operating state in which it is inactive and delivers no product or intermediate product, and a second active state in which it emits a product or intermediate product to a downstream plant component. In this simple example, the plant component in the first non-active operating state has a productivity P of 0% and in the second operating state a productivity P of

100% with regard to the respective intermediate product. A plant component of the industrial plant can deliver one or more intermediates. More complex subsystems or Compound plant components of the industrial plants can have a higher number of different discrete operating states, with productivity measures being able to be given for each operating state for the respective intermediate products which are supplied by the plant component. For the system components there are state time partial distributions ZZAV for at least two discrete operating states of the respective system module AM, wherein a time component ZA is specified at the operating time during which the system module AM is in the respective discrete operating state. For example, in the simple example shown in FIG. 5, the first plant module AM-1 with a time component ZA of 90% in its operating time is in an operating state in which it has a productivity P of 100% with respect to its end product and only too

10% of its operating time in an operating condition in which it gives no product (P = 0%). The majority of the system components have an inactive operating state. The time component ZA at the operating time in which the system module AM is in an inactive operating state may include a planned time component and an unplanned time component. The planned predetermined time portion includes a portion of the time used to perform maintenance and repair on the particular plant module. The unplanned time component can be provided for failure events in the system module AM. In the simple example shown in FIG. 5, the plant module AM-1 is in an inactive operating state during 10% of its operating time and produces 0% of the end product. This 10% time portion can be composed of a planned time share of, for example, 5%, during which the AM-1 system module is serviced or repaired, and a time portion intended for possible failure events. For example, this time portion provided for failure events may comprise 5% of the operating time. The time component provided for failure events can be estimated or calculated on the basis of empirical values or historical data available for the respective plant component of the industrial plant become. In addition, the time portion which is provided for failure events may depend on further parameters, for example the service life or aging of the respective installation module AM, as well as parameters of the industrial installation or environmental parameters. For example, for a plant module that has already been used, which is removed from another plant and which is installed for the new plant to be created, its lifetime or operating time can be taken into account in the dimensioning of the time interval or time proportion provided for failure events. If, for example, a system module AM-1 already has an operating time of a few years behind it, the time component ZA to be provided for failure events must be set higher than for a similar system module that is newly installed in the industrial system. The planned time share in which the plant module is in an inactive operating state can be set or changed depending on a maintenance or repair plan for the respective plant component. For each system module AM provided in the system module database AM-DB, a corresponding state time component distribution ZZAV can be stored as a data record. The time components ZA indicated in the stored state time component distribution ZZAV for the various operating states of the system module AM can be set in one possible embodiment. In one possible embodiment, the setting of the state time component distributions ZZAV by a user takes place via a user interface UI, as shown in FIG. Furthermore, the state time component distributions ZZAV of the various system modules AM can be changed as a function of simulated system parameters AP of the industrial system or as a function of simulated environmental parameters UP ZZAV (AP). For example, the state time component distribution ZZAV may change as the internal pressure in the industrial plant decreases or increases. Furthermore, the state time component distribution ZZAV of a system module AM can change as a function of an ambient temperature (UP = T) of the industrial system ZZAV (UP). If, for example, the industrial plant is to be set up in a desert in which high temperatures T and high temperature fluctuations ΔΤ prevail, for each plant component AM assigned to a plant component of the industrial plant, a state time-share distribution ZZAV suitable for the high ambient temperature can be determined in the plant module database AM. DB are stored. The state time component distribution of a system module AM thus depends on the lifetime LZ due to the aging of the associated system component AK, on internal system parameters AP of the industrial system and on environmental parameters UP, for example the prevailing outside temperature ZZAV (LZ, AP, UP).

Furthermore, the state time component distribution ZZAV of a system component can depend on a maintenance plan for the respective system component AK. If, for example, a maintenance or repair to a system component is provided for a certain day of the week, the state time component distribution ZZAV of the system component for a first operating state of 100% productivity (P = 100%) can have a time ZA of 0% and for a second Operating state with 0% productivity (P = 0%) have a time share ZA of 100% on this maintenance day. Each physical plant component of the industrial plant or each subsystem of the industrial plant can be assigned a corresponding plant module AM with associated state time component distribution ZZAV.

The state time component distributions ZZAV of the system modules AM are linked manually or semi-automatically in the calculation system B-SYS by linking elements VE to a layout model of the industrial system. In this case, the link is made according to a planned or possible configuration of the industrial plant, for example manually, ie, the linking elements VE are selected according to this configuration by a user, for example by means of the user interface UI of the calculation system B-SYS. In one possible embodiment, the plant modules AM, each of which represents a plant component or a subsystem of the industrial plant as a data model, as well as the linking elements VE linked by means of a graphical editor by a user via link lines to each other for generating the layout data model of the industrial plant. The plant modules can be selected from a library of plant modules. The layout model generated using the editor can in one possible embodiment be stored in a data memory MEM of the system B-SYS. On the basis of the generated layout model, the productivity of the industrial plant with respect to at least one end product is then calculated by the calculation unit BE. The calculation thus simulates the productivity of the planned industrial plant with regard to at least one end product, for example a chemical, biological, electrical or pharmaceutical end product, by the calculation unit BE on the basis of the layout data model of the industrial plant. The selection of the system modules AM from the system module database AM-DB and the selection of the linking elements used VE from the logic element database VE-DB is preferably carried out using a graphical editor, such as a Visio-based RAM (Reliability, Availability,

Maintainability) Layout Editors. This layout editor makes it possible to model the interconnections or links between the plant modules or subsystems of the industrial plant. The layout editor is preferably displayed on a screen to the user by means of a graphical user interface UI. The various system modules AM can be placed on the screen of the interface UI and are linked together by means of linking elements VE. The linking elements VE selected from the linking element database VE-DB can comprise arithmetic and / or logical linking elements. The selected plant modules AM and the linking elements VE can be connected to each other via linking lines to create the layout model of the industrial plant. In one possible embodiment, the linking lines are positive or negative weighting factors. The selectable linking elements VE are preferably located in the linking element database VE-DB of the calculation system B-SYS, as shown in FIG. In one possible embodiment, one of the selectable logic elements is a combination logic element KOM-VE which generates a state time component distribution ZZAV for each possible combination of operating states of upstream system modules AM, which for each combined state is a productivity measure P with respect to one of the upstream system modules AM indicates the delivered product. An example of such a combination linking element is given in Fig. 6 for the simple example shown in Fig. 5. Furthermore, in the linking element database VE-DB as a further linking element VE there can be a minimization linking element which generates a state time component distribution ZZAV for each possible combination of operating states of upstream plant modules AM, which for each combined state is the minimum of the operating states associated productivity measures P with respect to one of the upstream system modules AM delivered product indicates. An example of such a minimization linking element MIN-VE is shown in FIG. 7 for the simple example shown in FIG. The various selectable linking elements VE can be displayed on the screen with different graphical symbols to the user. The various logic elements receive as input the state time component distributions of the upstream system modules, which are linked on the input side to the logic element VE, and provides as output a state time component distribution ZZAV for the various possible combined discrete operating states. This is explained below by way of example with reference to FIGS. 2, 3, 4.

FIG. 2 shows state time component distributions ZZAV for installation modules AM, which are linked to one another via a linking element VE, as shown in FIG. In the plant mo- For example, AM-1, AM-2, AM-3, AM-4, AM-5 may be coal-gas turbine plant modules that are connected by busbars or headers and deliver a crude synthesis gas. In the example shown in FIG. 3, five plant modules each modeling a coal gasifier plant component are linked together via a linking element VE whose end product or intermediate product is the crude synthesis gas produced. The state time distributions ZZAV for the various system modules AM-1 to AM-5 are shown in FIG. In the simple one

For example, each plant module AM-i has two discrete operating states, namely an active operating state with a productivity measure P of 100% with regard to the product for the active operating state and with a productivity measure P of 0% for the inactive or failed operating state of the respective one conditioning module. For example, the time portion ZA for the active operating state (productivity measure P = 100%) may be 95%, while the time portion ZA for the inactive operating state (productivity measure P = 0%) is 5%. The sum of all time components ZA within the state time component distribution ZZAV is 100%. As shown in FIG. 2, the state time component distributions ZZAV are approximately equal for example for the system modules AM-1 to AM-4, while the state time component distribution for the fifth system module AM-5 or the fifth coal gasifier modeled thereby has a time component of 50% for the active Operating state and indicates 50% for the inactive operating state. As a result, it can be modeled, for example, that the fifth AM-5 system module is significantly older and therefore has a higher time share for failure events or

Maintenance or repair required. With the aid of the linking element VE selected from the linking element database VE-DB, a state time component distribution Z ZAV _V E is automatically calculated for the entire subsystem shown in FIG. 3, as indicated graphically in FIG. 4. In the simple example shown in FIG. 3, the subsystem has a productivity of 100% when four of the five upstream plant modules or coal gasifiers operate. If all five upstream coal gasifiers work, the subsystem will have a productivity measure of 125% as shown in FIG. If all five coal gasifiers fail at the same time, the productivity measure P of the subsystem is 0%. However, the time share ZA in this combined operating state is very small, since it is very unlikely that all five coal gasifiers will fail at the same time. In the simple example shown in FIG. 4, the time proportion of the total operation time in which four of the five coal gasifiers operate simultaneously is the largest. In this operating state, a productivity measure of 100% of the subsystem is achieved, which corresponds, for example, to 1 t of the end product of the respective subsystem in a given operating period. The subsystem shown in FIG. 3 and the corresponding calculated time-domain distribution ZZAV shown in FIG. 4 can be linked to further system modules AM and subsystems for calculating the configuration of the industrial plant to be created. By changing the links as well as adding or eliminating plant modules AM, the associated state time share distribution ZZAV of a subsystem or subsystem can be selectively changed with regard to at least one end product or intermediate product. Furthermore, the state time component distributions ZZAV of the various elementary system modules can be changed in a simulation. In one possible embodiment, this can take place as a function of system parameters of the industrial installation, for example a prevailing internal pressure acting on the boiler or pipes, or depending on ambient parameters, for example an ambient temperature. If, for example, a very high outside temperature is simulated, the state time component distributions ZZAV of the system modules AM can change such that the time component ZA for the active operating state (productivity measure P = 100%) reduces, while the time component ZA for the inactive operating state (productivity measure P = 0%) for the respective affected system module AM. In case of a possible version variant or implementation of the system according to the invention, the coordinates or location coordinates of the associated system components within the industrial plant are taken into account for the various system modules AM. This makes it possible, for example, to simulate temperature gradients within an industrial plant. If, for example, the system module AM-1 in FIG. 3 is located on a side of the industrial installation facing the sun, it has a different time-share distribution due to the higher temperature than, for example, the system module AM-5, which is located on a side of the industrial building facing away from the sun Plant is mounted.

Figures 5, 6, 7 show diagrams for explaining possible linking elements VE, as in the inventive

System for calculating a productivity of an existing plant modules of industrial plant can be used. In the case of the simple subsystem shown in FIG. 5, two system modules AM-1, AM-2 are linked to each other via an arithmetic logic element VE with respect to an end product. The two system modules AM-1, AM-2 have different state time component distributions ZZAV, as shown in FIG. In the simple example shown in FIG. 5, both system modules AM each have two discrete operating states, namely an active operating state and an inactive operating state. The first plant module AM-1 has a productivity of 100% in the active operating state and a productivity of 0% in the inactive operating state. The AM-1 plant module is in the active operating state for 90% of the operating time and in the inactive operating state for 10% of the operating time. In contrast, the other system module AM-2 in the active operating state only on a productivity of 70%. For example, the AM-2 plant module can have a considerably higher operating age compared to the AM-1 plant module, so that its productivity in the active operating state is significantly lower than the productivity of the AM-1 plant module. It is also in the example shown the AM-2 plant module only 80% of the total operating time in the active operating state and 20% in the inactive operating state. In this case, it can be taken into account, for example, that more time is reserved for maintenance and repairs for the further installation module AM-2 and, in addition, the probability of unexpected failure events is higher. The linking element VE shown in FIG. 5 now links the state-time-share distributions ZZAV of the two upstream plant modules AM-1, AM-2.

The linking element VE can be, for example, a combination linking element, as shown in FIG. In this case, a state time component distribution is generated for each possible combination of operating states of the two upstream system modules AM-1, AM-2, which indicates a productivity measure P with regard to the product delivered by the upstream system modules for each combined state. FIG. 6 shows the generated state time-share distribution for a combination link KOM-VE in the simple example shown in FIG.

As shown in FIG. 6, four different combinations of states are possible, namely a first state with a production measure of 170% when both plant modules AM-1, AM-2 are in an active operating state, an operating state with a productivity measure of 100%, if the first plant module AM-1 is in the active operating state while the second plant module AM-2 has failed or is in an inactive operating state, a third operating state with a productivity measure of 70% if the first plant module AM -1 is inactive and only the second plant module AM-2 is active and a fourth operating state with a productivity measure of 0%, if both plant modules AM-1, AM-2 are simultaneously in an inactive operating state. For each combined state of the subsystem, a time share ZA is automatically calculated. Thus, the time component ZA for the first operating state with a productivity measure of P = 170% is 0.72, namely the product of the time component ZA, in which the first plant module AM-1 is in the active operating state, and the time component ZA, in which the second plant module AM-2 is in an active operating state. As can be seen in FIG. 6, the subsystem comprising both interconnected investment modules AM-1, AM-2 is in a second operating state with a productivity measure of P = 100% only in 18% of the operating time. In the third operating state of the subsystem (productivity measure P = 70%), the time part is 8% and in the fourth operating state (productivity measure P = 0%) the subsystem is only in 2% of the operating time, ie, the time part ZA is for this combined state in which both system components have failed, 2%. Another possible selectable linking element VE is a minimization linking element, as shown in FIG. This generates for each possible combination of operating states of upstream system modules AM a state time component distribution ZZAV, which indicates for each combined state the minimum of the operating conditions associated productivity measures P with respect to one of the upstream system modules AM delivered product. In the example shown, a first possible combination of operating states is when both plant modules AM-1, AM-2 are in active operating state and fully producing, ie the first plant module with a productivity measure of 100% and the second plant module with a productivity measure of 70%. The minimum of the two productivity measures is 70%. The time proportion thereof is 72% as shown in FIG. The remaining possible combinations are P = 100% for system module AM-1 and P = 0% for system module AM-2, P = 0% for system module AM-1 and P = 70% for system module AM-2 and P = 0% for System module AM-1 and P = 0% for system module AM-2. The minimum regarding the productivity measure for these combinations is 0%. The corresponding calculated time fraction for this combined state is 28% as shown in FIG. With the two linking elements shown in FIGS. Menten VE, namely the combination linking element KOM-VE and the minimization linking element MI -VE, can be modeled essentially all configurations of industrial plants. The layout editor enables the modeling of the interconnections between the subsystems of the industrial plant. In a first step, a RAM layout of the industrial plant can be analyzed, for example, to detect dependencies between the subsystems of the industrial plant and, for example, the effects of reduced productivity of at least one subsystem on the productivity of the industrial plant with respect to a final or intermediate product. By assembling or linking the productivity characteristics or state time proportion distributions ZZAV of coupled and dependent subsystems to composite subsystems with associated productivity characteristics, it is possible successively to calculate a state time component distribution with regard to the productivity of the overall system or the entire industrial plant with respect to one or more end products. This avoids a single view of the different combinations of productivity levels of partially functioning or defective subsystems and allows an overall view of the entire industrial plant in terms of their productivity.

The state time share distributions ZZAV of the various plant components may vary depending on a maintenance schedule, as exemplified in FIG. 8. In the example shown in FIG. 8, on a Monday (MO), the plant module AM-1 is maintained so that it is in the active operating state with a time proportion of 0% on Monday, while it is in the inactive operating state (P) for the entire Monday. Productivity measure P = 0%) has a time share of 100%. The other system module AM-2 has a normal time distribution for Monday, for example, the time share for the active operating state is 95% and for the inactive operating state 5%. On Tuesday (DIE) in the example shown becomes the other one Plant module AM-2 is serviced so that it is on Tuesday in inactive operating state (productivity measure 0%) with a time share of 100%. On the third day (Wednesday), neither of the two AM-1, AM-2 system modules will be serviced. Accordingly, the linking element VE results in a different distribution of state time components for each of the three days, as indicated in FIG. 8. If, for example, neither of the two system modules is being serviced on Wednesday (MITT), the time share for the maximum productivity (productivity measure 200%) is higher than on the other two days, Monday or Tuesday, when one of the two system modules is being maintained. The calculated state time share distributions ZZAV of subsystems thus change dynamically depending on a schedule, for example a maintenance or repair plan, for the various plant modules of the industrial plant (ZZAV (t)). Further, in the system and method of the invention, it is possible to optimally tune a maintenance schedule to the industrial plant to maximize the productivity of the industrial plant with respect to one or more products. In addition, the effects of a changed maintenance or repair plan on the productivity of the industrial plant can be investigated or analyzed. Furthermore, it can be examined to what extent intended redundancies within sub-systems increase the plant productivity with regard to all end products or receive maintenance measures. For example, in the example shown in FIG. 3, it may be questioned whether or not the provision of a fifth redundant coal gasifier as the plant module AM-5 is worthwhile due to the increase in productivity. With the method and system according to the invention it is possible to calculate an expected production of the industrial plant for various end products. The calculated productivity can be multiplied by expected productivity values for the different products. For example, a result-state time-share distribution for various end products discharged from the industrial plant can be calculated with the respective added value of the end product per produced quantity of the end product Weighted or multiplied respective final product. In one possible embodiment, the total value of all final products delivered by the industrial plant is then maximized. In this way, the total value of the products produced over the expected operating time of the industrial plant can be set in relation to the investment costs of the complex industrial technical plant. In one possible embodiment of the system according to the invention, the system modules AM and the logic elements VE are linked by means of a graphical editor via link lines for generating the layout model of the industrial system. The linkage lines may be weighted with positive or negative weighting factors wi as in

Fig. 9 shown. Each plant module AM can have a state time proportion distribution m. After receipt receives the

Plant module AM a state time component distribution v of the upstream modules, which can be weighted with a weighting factor wi. The output of the system module AM can also be weighted with a weighting factor w ₂ , as shown in FIG. The state time component distribution ZZAV, which is output by the system module or subsystem, is calculated as follows: ZZAV = min (wi xv, m) xw ₂ .

In one possible embodiment of the system according to the invention, the various end products of the industrial plant have associated production priorities. In one possible embodiment, these can be modeled by link lines with negative weighting factors. This can be explained with reference to the simple example shown in FIG. In that shown in Fig. 10

Example of an industrial plant produces these two end products A, B. The AM-1, AM-2 plant modules model two coal gasifiers as plant components of the industrial plant. The synthesis gas supplied by the coal gasifiers is combined and applied to a synthesis plant for the production of the end product A, which is modeled by the plant module AM-A. A second synthesis component produces the second end product B. This second synthesis component becomes modeled by the plant module AM-B, as shown in Fig. 10. The synthesis gas supplied by the coal gasifiers is applied to the synthesis component for the product B, but priority is given to the product A. For this purpose, the output of the system module AM-A via a logic line, which is weighted with a weighting factor of -100%, returned to an input of the second coupling element VE-2, as shown in Fig. 10. While the first linking element VE-1 models the merging of the synthesis gases emitted by the coal gasifiers, the second linking element VE-2 models the

Prioritization of the first end product A with respect to the second end product B of the industrial plant. For example, if both coal gasifiers are working at 100% productivity, the output of linkage VE-1 will have a 200% productivity, both at the input of the plant module AM-A to synthesize the product A and at the second input of the linkage element VE-1. 2 is created. If the system module AM-A is in an active operating state, at least 100% are fed back and a condition time share distribution is calculated at the second logic element VE-2. Since both coal gasifiers work fully in this case (P = 200%), the synthesis gas is also sufficient for the production of product B. However, if one of the two coal gasifiers fails and then has a productivity measure P of 0%, the output of the linking element supplies VE-1 only a productivity measure of 100%, of which are deducted by the linking element VE-2 due to the negative feedback 100%, so that for the plant module AM-B only 0% are available at the entrance. In this

Trap is thus all the synthesis gas produced used to produce the final product A, so that no product B is generated. In addition, if the system module AM-A has failed and has a productivity measure P of 0%, then the negative weight at the input of VE-2 is multiplied by 0% and the synthesis gas is in this time proportion for the production of product B in AM-B to disposal. Due to the negative weighting, a prioritization of a final product, For example, the product A, compared to another end product, such as the product B, be modeled using the layout editor. From the synthesis gas produced by the coal gasifiers, in the example shown in FIG. 10, the synthesis gas consumed in synthesis A is withdrawn to calculate the amount of synthesis gas available for synthesis B. The Layout Editor can be used to model differences in productivity levels. This enables modeling and general calculation in the case of prioritization of products, which is particularly effective in the case of reduced productivity of a subsystem or has an effect on the quantity of final products produced. In one possible embodiment, the prioritization of the various end products may change as a function of an instantaneous value of the respective end product. In one possible embodiment, the result-state time component distributions of the various end products emitted by the industrial plant are weighted with the respective value per produced quantity of the respective end product. For example, this value can be assigned.

In another possible embodiment, the values of the various end products are communicated over a data network from a server. For example, the value per amount produced may be a market price of the product market. In one possible embodiment of the system according to the invention, the total value of all final products delivered by the industrial plant is automatically maximized as a function of current or predicted product values. The graphic modeling of the dependencies of the subsystems used and the analysis of the productivity for the entire system or industrial plant thus enables the efficient assessment of even more complex technical installations including prioritization strategies for their end products. This can be relevant for comparative economic evaluations of plant designs and operating concepts in order to obtain a plant configuration of the industrial plant that is optimally adapted to the technical conditions and customer needs. The inventive and system is suitable for predicting productivity values of any industrial plant, especially for industrial plants producing chemical, biological or pharmaceutical products. The products may also be generated electric power or power generated, for example, in the generation of electricity from fuels. The products may further include data, in particular sensor data provided, for example, by a video surveillance system or a fire alarm system. Again, there are redundancies when two smoke detectors each monitor 60% of the room, or video recordings show part of the subway section twice. With the system and method according to the invention, in particular redundancies of plant components or plant modules as well as complex dependencies of plant parts and prioritization strategies of different end products can be calculated or simulated. The calculation or simulation of the quantity of the generated end products and their production values can be based on current or predicted product values. With the method and system according to the invention, it is possible to accurately calculate or evaluate a productivity of an industrial plant, in particular in the event of a possible age-related failure or maintenance-related restrictions. The method according to the invention for calculating a productivity of an industrial installation consisting of installation modules AM can be implemented as a program software tool that is executed on a computer system. The planning software tool can be used above all for planning an industrial plant before it is put into operation. In addition, the planning software tool can also be used while the industrial plant is in operation to support control measures. A plant control of the industrial plant can, depending on productive! control plant components of the industrial plant, wherein the productivities with respect to various end products of the industrial plant by a calculation system according to the invention B-SYS, as shown in Fig. 1, be calculated. Furthermore, the method or planning tool according to the invention can be used for calculating or simulating maintenance plans, in order to keep the productivity of the industrial installation as high as possible despite necessary maintenance measures. Generated Layout

Data models for various subsystems or entire systems can be stored or stored in a data memory MEM in order to be reused in further projects for similarly structured industrial installations. In a further possible embodiment, the actual occurring time-share distributions ZZAV are recorded within the operated industrial plant and the state time share distributions ZZAV of the corresponding plant modules AM adjusted according to the real progressions to ensure a realistic as possible simulation of the productivities of the components or subsystems.

Claims

claims

System (B-SYS) for calculating a productivity of an industrial plant consisting of plant modules, the plant modules (AM) each having an associated state time distribution (ZZAV) selected by linking elements (VE) selected according to a configuration of the industrial plant be linked to a layout model of the industrial plant, based on the generated layout model, the productivity of the industrial plant is calculated with respect to at least one end product by a calculation unit (BE).

System according to claim 1,

wherein the state time component distribution (ZZAV) of a system module (AM) for at least two discrete Betriebszu states of the respective system module indicates the time portion of egg ner operating time during which the system module (AM) is in the respective operating state.

System according to claim 1 or 2,

wherein the operating states of the state time proportion distribution (ZZAV) of a plant module (AM) in each case indicates a productivity measure (P) with regard to at least one product delivered by the respective plant module (AM).

System according to claim 2 or 3,

wherein a time share (ZA) at an operating time in which a plant module (AM) is in an inactive Betriebszu state, a planned time share, in particular for performing maintenance and repair of the respective plant module, and a scheduled time for failure events includes.

System according to one of the preceding claims 1 to 4, wherein the state time share distribution (ZZAV) of the selectable plant modules (AM) in a plant module Database (AM-DB) are stored, to which the calculation unit (BE) has access.

System according to one of the preceding claims 1 to 5, wherein the in the state time distribution (ZZAV) given at time shares (ZA) for the various operating states of the system module (AM) are adjustable and / or depending on system parameters of industial plant or in Dependent on environmental parameters are changeable.

System according to one of the preceding claims 1 to 6, wherein the linking elements (VE) have arithmetic and / or logic operation elements.

System according to claim 7,

wherein one of the selectable linking elements (VE) is a combination linking element (KOM-VE) which generates a state time-share distribution (ZZAV) for each possible combination of operating states of upstream plant modules, which for each combined state is a measure of productivity (P) with respect to one of indicates upstream product modules delivered product.

System according to claim 7,

wherein one of the selectable linking elements (VE) is a minimization linking element (MIN-VE) which generates for each possible combination of operating states of upstream plant modules (AM) a state time share distribution (ZZAV) which for each combined state is the minimum of the productivity measures associated with the operating states (P) in terms of a product delivered by the upstream equipment modules.

10. System according to one of the preceding claims 1 to 9, wherein the plant modules (AM) and the linking element Elements (VE) can be linked with each other by means of a graphical editor via linking lines to generate the layout model of the industrial plant.

System according to claim 10,

wherein the link lines are each weighted by positive or negative weighting factors (w).

A system according to any one of the preceding claims 1 to 11, wherein various end products of the industrial plant have associated production priorities modeled by link lines with negative weighting factors.

System according to one of the preceding claims 1 to 12, wherein for each end product of the industrial plant, a result-time proportion distribution is calculated, which indicates a productivity measure for each operating state of the entire industrial plant with respect to the final product delivered by the industrial plant.

System according to claim 13,

wherein the result-time distribution (ZZAV) of the various end-products dispensed by the industrial plant are weighted at the respective assigned value per generated amount of the respective end-product, maximizing the total value of all final products dispensed by the industrial plant.

System according to one of the preceding claims 1 to 14, wherein the end products of the industrial plant have chemical and / or biochemical and / or pharmaceutical products and / or sensor data and / or electric current.

A method of calculating a productivity of an industrial plant consisting of plant modules (AM), the plant modules each having an associated state time have partial distribution (ZZAV),

which are linked by linking elements (VE), which are selected according to a configuration of the industrial plant, to form a layout model of the industrial plant,

based on the generated layout model, the productivity of the industrial plant is calculated with regard to at least one end product.

17. Planning software tool for planning an industrial plant with program instructions for carrying out the method according to claim 16.

18. Industrial plant with a plant control, which controls plant components of the industrial plant depending on productivity, which are calculated in terms of end products of the industrial plant by a system (B-SYS) according to one of the preceding claims 1 to 15.