CN113378418A - Model construction method and device based on event network technology and electronic equipment - Google Patents
Model construction method and device based on event network technology and electronic equipment Download PDFInfo
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Abstract
The invention discloses a model construction method and device based on an event network technology and electronic equipment, wherein the method comprises the following steps: according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type and the incidence relation data representing the entity equipment composition, a modeling simulation platform is established to carry out modeling operation to obtain a virtual system model corresponding to the physical system model to be simulated, and the virtual system model comprises library nodes representing each entity equipment; carrying out simulation operation on the virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model; diagnosing and predicting operation according to the state value corresponding to each library node and the incidence relation data among the library nodes; and when the diagnosis result or the prediction result does not meet the preset condition, performing simulation optimization operation on the simulation modeling platform by combining the virtual system model according to a preset optimization target until the simulation optimization result meets the preset condition.
Description
Technical Field
The invention relates to the technical field of modeling simulation, in particular to a model construction method and device based on an event network technology and electronic equipment.
Background
With the development of industrial technology, the composition of physical equipment under the physical system architecture is becoming larger and more complicated. In order to manage more conveniently and efficiently, a digital twin technology is brought forward. The digital twinning technique can be viewed as a digital mapping system of one or more important equipment systems that depend on each other.
In the related art, the traditional simulation modeling platform can only realize basic modeling simulation operation of a digital twin model, but with higher and higher industrialization degree, the traditional single-function digital twin model cannot better manage a physical system, so that a new model construction mode based on an event network technology is urgently needed to be provided, so that the constructed digital twin model can more intelligently perform auxiliary management on the physical system.
Disclosure of Invention
Therefore, the technical problem to be solved by the invention is to overcome the defect of low intelligent degree of the existing digital twin model, so that a model construction method and device based on the event network technology and electronic equipment are provided.
According to a first aspect, the embodiment of the invention discloses a model construction method based on an event network technology, which is applied to a modeling simulation platform and comprises the following steps: according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated and incidence relation data representing the entity equipment composition, a modeling simulation platform is established to perform modeling operation to obtain a virtual system model corresponding to the physical system model to be simulated, wherein the virtual system model comprises a library node representing each entity equipment; carrying out simulation operation on a virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model; diagnosing and predicting operation according to the state value corresponding to each library node and the incidence relation data among the library nodes; and when the diagnosis result or the prediction result does not meet the preset condition, performing simulation optimization operation on the simulation modeling platform by combining the virtual system model according to a preset optimization target until the simulation optimization result meets the preset condition.
Optionally, the creating and simulating a real platform to perform modeling operation according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated, and the incidence relation data representing the entity equipment composition to obtain the virtual system model corresponding to the physical system model to be simulated includes: different entity equipment in the entity equipment composition is mapped on a modeling simulation platform, and a library node corresponding to each entity equipment is obtained on the modeling simulation platform; all nodes of a database are responded to and directionally connected according to the incidence relation among the entity equipment components; setting an initial state value for each library node; and displaying a modeling result on a modeling interface of the simulation modeling platform.
Optionally, performing a diagnosis operation according to the state value corresponding to each library node and the association relationship data between the library nodes, including: comparing the initial state value before the simulation operation with the state value obtained after the simulation operation; and diagnosing the simulation modeling process according to the comparison result and the flow direction of the state value corresponding to the node of each library.
Optionally, performing a prediction operation according to the state value corresponding to each library node and the association relationship data between the library nodes, including: when the physical system to be simulated comprises a plurality of subsystems, controlling the corresponding virtual system model to perform local accelerated simulation according to the received selection operation of a user on the virtual system model corresponding to any subsystem; and predicting the operation result of the physical system within the preset time according to the simulation result.
According to a second aspect, the embodiment of the present invention further discloses a model building apparatus based on event network technology, which is applied to a modeling simulation platform, and includes: the modeling module is used for modeling and simulating a real platform according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated and incidence relation data representing the entity equipment composition to obtain a virtual system model corresponding to the physical system model to be simulated, wherein the virtual system model comprises a library node representing each entity equipment; the simulation module is used for carrying out simulation operation on the virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model; the diagnosis and prediction module is used for carrying out diagnosis and prediction operation according to the state value corresponding to each library node and the incidence relation data among the library nodes; and the optimization module is used for combining the virtual system model on the simulation modeling platform according to a preset optimization target to perform simulation optimization operation when the diagnosis result or the prediction result does not meet the preset condition until the simulation optimization result meets the preset condition.
Optionally, the modeling module includes: the mapping submodule is used for carrying out mapping operation on different entity equipment in the entity equipment composition on a modeling simulation platform, and a library node corresponding to each entity equipment is obtained on the modeling simulation platform; the connection sub-module is used for responding to directed connection operation of all nodes of the database according to the incidence relation data among the entity equipment components; the setting submodule is used for setting an initial state value for each library node; and the display submodule is used for displaying the modeling result on a modeling interface of the simulation modeling platform.
Optionally, the diagnosis and prognosis module comprises: the comparison submodule is used for comparing the initial state value before the simulation operation with the state value obtained after the simulation operation; and the diagnosis submodule is used for carrying out diagnosis operation on the simulation modeling process according to the comparison result and the flow direction of the state value corresponding to the node of each library.
Optionally, the diagnosis and prognosis module further comprises: the simulation submodule is used for controlling a corresponding virtual system model to perform local accelerated simulation according to the received selection operation of a user on the virtual system model corresponding to any subsystem when the physical system to be simulated comprises a plurality of subsystems; and the prediction submodule is used for predicting the operation result of the physical system within the preset time length according to the simulation result.
According to a third aspect, an embodiment of the present invention further discloses an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to cause the at least one processor to perform the steps of the method for model building based on event mesh technology according to the first aspect or any one of the optional embodiments of the first aspect.
According to a fourth aspect, the embodiments of the present invention further disclose a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of the model construction method based on event network technology according to the first aspect or any optional embodiment of the first aspect.
The technical scheme of the invention has the following advantages:
according to the model construction method/device based on the event network technology, a virtual system model corresponding to the physical system model to be simulated is obtained by modeling and simulating a real platform according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated and incidence relation data between the represented entity equipment compositions, wherein the virtual system model comprises library nodes representing each entity equipment; carrying out simulation operation on a virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model; diagnosing and predicting operation according to the state value corresponding to each library node and the incidence relation data among the library nodes; and when the diagnosis result or the prediction result does not meet the preset condition, performing simulation optimization operation on the simulation modeling platform by combining the virtual system model according to a preset optimization target until the simulation optimization result meets the preset condition. The digital twin model is constructed through a simulation modeling platform with integrated modeling simulation, diagnosis, prediction and optimization functions, so that the constructed digital twin model can assist in managing a physical system more intelligently.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a flowchart of a specific example of a model construction method based on an event network technology in an embodiment of the present invention;
FIG. 2 is a diagram illustrating a specific example of a model construction method based on event network technology according to an embodiment of the present invention;
FIG. 3 is a schematic block diagram of a specific example of a model building apparatus based on event network technology according to an embodiment of the present invention;
fig. 4 is a diagram of a specific example of an electronic device in an embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; can be mechanically or electrically connected; the two elements may be directly connected or indirectly connected through an intermediate medium, or may be communicated with each other inside the two elements, or may be wirelessly connected or wired connected. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The embodiment of the invention discloses a model construction method based on an event network technology, which is applied to a modeling simulation platform. In the embodiment of the present application, an Event network EN ═ P, E, T, a, F, where P is a set of places (Place), E is a set of events (Event), T is a set of transitions (Transition), a is a set of directed arcs (Arc), and F is a set of occurrence functions, as shown in fig. 1 and fig. 2, the method includes the following steps:
For example, the type of physical system to be simulated may be a discrete event dynamic system, such as a discrete system made up of a plurality of processing equipment that process a workpiece; it can also be a continuous event dynamic system, such as a pipeline processing system constructed according to fluid mechanics or aerodynamics, or a system comprising both a discrete event dynamic system and a continuous event dynamic system, such as a steel making system after iron ore is converted into molten iron. The type of physical system to be simulated is not limited in the implementation of the present application.
For a system for steel making, locations or devices required by the whole production link, such as a location for storing iron ores, a device for processing iron ores, a device for containing molten iron, a device for processing molten iron, a location for placing steel products, and the like, can be referred to as physical equipment of a physical system to be simulated, and during the whole steel making process, the locations or devices have an association relationship, which can include a circulation relationship of different materials in different locations or devices in the processing production link.
And mapping the entity equipment in the physical system to be simulated in the simulation modeling platform, and representing each entity equipment in the physical system to be simulated by using different library variables (P) to establish a library node obtained by simulating the mapping of the real platform. As shown in fig. 2, each library variable P1, P2, and P3 corresponds to an entity equipment in the physical system to be simulated, and performs directional association on the library node in a manner of dragging, pulling, dragging, and the like on an association module preset in the simulation modeling platform according to association relationship data among the entity equipment components to obtain a virtual system model. And describing factors needing to be considered in the physical world through an event network component by modeling operation, so as to realize the mapping of the physical world and the Saybolt space.
And adopting different types of variables to represent the state values of the nodes of the library according to the acquired type of the physical system to be simulated. When the type of a physical system to be simulated is a discrete event dynamic system, state values of different libraries in a virtual system model are represented by using discrete variables, for example, a discrete value of '1' can be used for representing that entity equipment in a steelmaking system is in an open state, a discrete value of '2' can be used for representing that entity equipment in the steelmaking system is in a closed state, and a discrete value of '1000' tons can be used for representing the yield of iron ore in the libraries; when the type of the physical system to be simulated is a continuous event dynamic system, state values of different libraries in a virtual system model are represented by continuous variables, for example, the change of the molten iron amount in the libraries can be represented in a real number or continuous function expression form, the real number or continuous function expression for representing the molten iron amount can be obtained by statistical analysis according to the change of the historical molten iron amount in the actual production process, and the real number or continuous function expression obtained by statistics is stored in a simulation modeling platform and used for representing the change of the molten iron amount at different moments and under different states; when the simulation of the flow direction of the generated molten iron is considered at the same time, the flow direction of the molten iron can be expressed while representing the molten iron amount by using a vector form. In the embodiment of the present application, the state value of each warehouse is denoted by "token", for example, for a place storing iron ore, the "token" is 1000 tons.
102, performing simulation operation on a virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model.
For example, the preset simulation trigger condition may be a trigger event constructed based on historical data, association between nodes in the library, and a mathematical algorithm. The state transition of different physical systems to be simulated requires triggering of events, for example, in the process of converting iron ore into molten iron, high temperature and heating treatment are required to be performed on the iron ore, when the temperature reaches a set transition threshold, the iron ore is converted into the molten iron, the triggering events can be that the heating temperature of the iron ore reaches the set transition threshold, similarly, the molten iron is converted into steel, and the same time is required to reach a certain standard, so that all triggering events related to the whole physical system to be simulated can be compiled into a modeling simulation platform in a code form for subsequent simulation and other operations.
In this embodiment of the present application, the state change relationship may also be referred to as an occurrence weight function F, and includes a first subfunction (pre), a second subfunction (training), and a third subfunction (post), where the first subfunction (pre) represents a precondition for occurrence of a trigger event, the first subfunction stores token numbers required by each library when different trigger events occur, the second subfunction (training) represents a change process of the token when the trigger event occurs, the third subfunction (post) represents a change condition of the token numbers in the corresponding library after the trigger event occurs, the occurrence weight function corresponding to each trigger event is pre-programmed to the modeling-side simulation platform in a code form, and the three subfunctions can be dynamically adjusted according to the change condition in the actual simulation process.
When any trigger event is executed, the state value 'token' of different storehouses is changed, and if 500 tons of iron ores in 1000 tons of iron ores are converted into 100 tons of molten iron, the 'token' value of the storehouse for storing the iron ores is reduced by 500 tons and the 'token' value of the storehouse corresponding to the equipment for storing the molten iron is increased by 100 tons according to the state change relation. Triggering events in different conditions and corresponding state change relations are stored in a modeling simulation platform and are associated with a virtual system model, when any triggering event is generated, a token value of a library in the virtual system model is changed, the simulation of the whole physical system is realized, and a result obtained by the simulation can play a role in guiding, early warning, diagnosing, predicting and the like in production, processing, purchasing and other links related to the physical system.
And 103, performing diagnosis and prediction operation according to the state value corresponding to each library node and the incidence relation data among the library nodes.
As an alternative embodiment of the present invention, step 103 includes: comparing the initial state value before the simulation operation with the state value obtained after the simulation operation; and diagnosing the simulation modeling process according to the comparison result and the flow direction of the state value corresponding to the node of each library, namely the circulation direction of the token value.
Illustratively, the diagnosis and prediction operation of the system can be carried out on the basis of simulation, the diagnosis operation is used for analyzing the precursor consequence of the problem, and the relationship among the physical factors represented by the nodes of each library is searched through the network structure of the virtual system model in the event network. In the embodiment of the application, an occurrence weight function F is predefined in an event network, the occurrence weight function defines three variables of "pre", "ring" and "post", the variable "pre" represents an initial state value before simulation optimization, the "ring" represents a state value in a simulation process, and the "post" represents a state value after simulation optimization, diagnosis and prediction operations are performed according to changes of state values of library nodes recorded by the three variables, for example, when an initial state value of a library node a recorded in the "pre" variable is 10, after simulation, the state value of the library node a is 20, and according to the definition of an association relation or an occurrence weight function of the library nodes, the state value of the library node should be a consumable part, the state value should be decreased, and at the same time, the state value should be increased, and then a fault such as a connection error of a system at the time can be diagnosed or a token alarm threshold value is set at the library node, the alarm threshold value can be recorded and stored through vector pheromones, the token circulation direction and the circulation or generation number among different libraries are recorded in the vector pheromones, and when the token value of any library exceeds the specified number threshold value in the pheromones, diagnosis operation can be carried out by combining the circulation relation in the pheromones.
Furthermore, a mathematical model can be constructed in advance in the relation between the nodes of the library and stored in a simulation modeling platform, the change condition of the state value of the nodes of the library can be theoretically calculated through the mathematical model, and the fault diagnosis of the system is realized by comparing the theoretical state value change quantity derived by the mathematical model with the state value change quantity obtained by actual simulation; or the prediction of the state value of the node of the library at the next moment or after the target duration is realized through the constructed mathematical model based on the state value of the node of the library at the current moment.
And 104, when the diagnosis result or the prediction result does not meet the preset condition, performing simulation optimization operation on the simulation modeling platform by combining the virtual system model according to a preset optimization target until the simulation optimization result meets the preset condition.
Illustratively, the simulation optimization method based on the event network may be to set an objective function, record a logical relationship or a physical condition included in the objective function in the event network, perform simulation according to different set logical relationships or physical conditions, find an optimal initial condition or a logical relationship obtained according to the objective function, and minimize the cost or maximize the benefit of the system when a token between nodes in the library satisfies a preset logical relationship or a preset physical condition.
The simulation optimization mode based on the event network can also be a mode of setting a comprehensive objective function, then disassembling the objective function to indexes of library nodes in the event network, then performing analog simulation according to the disassembled indexes, solving the optimal solution of the disassembled part, and then performing aggregation and summarization. The two modes can be used respectively or together, or the sequential use order can be set, which is not limited in the embodiment of the application, and the technical personnel in the field can carry out flexible configuration. The specific disassembly mode can be that the simulation target of an integral system is averagely disassembled to each subsystem for analog simulation according to the number of subsystems in the system, then the analog simulation results are aggregated and summarized, and the analog simulation process can be accelerated by disassembling.
The obtained optimal solution can be used for adjusting node parameters (such as the number of nodes in a library or the number of tokens contained in the nodes in the library) in an event network, or modifying an algorithm of a weight generation function or modifying a connection relation between network nodes, simulation calculation is carried out according to the adjusted virtual model system, and simulated data and actual data are compared and analyzed to obtain an optimization scheme under the virtual system model.
As an alternative embodiment of the present invention, step 101 includes: different entity equipment in the entity equipment composition is mapped on a modeling simulation platform, and a library node corresponding to each entity equipment is obtained on the modeling simulation platform; all nodes of a database are responded to and directionally connected according to the incidence relation among the entity equipment components; setting an initial state value for each library node; and displaying a modeling result on a modeling interface of the simulation modeling platform.
Exemplarily, the modeling mode can automatically connect variables by a connection mode, define variable units by user, bring the variable units into unified variable management of the system, and the system can automatically identify, match variables and perform prompt association, thereby greatly improving the modeling efficiency; or sequencing and displaying the library nodes with the target relation for the user to select and connect, and simultaneously displaying the set state values of the library nodes, the modeling result such as the modeling process and the like in real time in the modeling process, so that the user can see the flow condition of token and the building condition of a bottom model of the event network in real time.
In the process of carrying out simulation modeling, simulation under the conditions of data and no data can be realized. The data is the real enterprise data which is used as the boundary, and the simulation can be carried out by using some distribution functions under the condition of data lack, for example, the simulation can be carried out by normal distribution, exponential distribution and user self-defining distribution function according to the requirement of the user.
As an optional implementation manner of the present invention, step 103 further includes: when the physical system to be simulated comprises a plurality of subsystems, controlling the corresponding virtual system model to perform local accelerated simulation according to the received selection operation of a user on the virtual system model corresponding to any subsystem; and predicting the operation result of the physical system within the preset time according to the simulation result.
Illustratively, on the basis of ensuring that simulation is finished aiming at physical world mapping, different boundary conditions and/or network structure change forms are set, the final calculation result of the network is influenced by the change of the boundary conditions and the network structure, and the calculation of the future result is finished by simulation acceleration or local acceleration aiming at acceleration of part of modules or specified modules, so that the prediction effect is achieved. For example, for a steel plant comprising a plurality of steel making departments, each steel making department corresponds to one subsystem, the local accelerated simulation of the corresponding subsystem relative to the whole steel making simulation system can be performed by receiving the selection operation of a user on any subsystem, and the prediction of the future preset time length of the whole steel making system is realized according to the local accelerated simulation of the virtual system model corresponding to only one subsystem, so that the prediction efficiency is improved.
In the embodiment of the application, the Event network is a static network composed of a Place, a Transition and an Event, the token is a consumable, flows in the network, reacts in the Transition, and is converted from one Place to another Place, and the Event is a trigger Event. The definition of Event Net (Event-Net) is: EN ═ (P, E, T, a, F) is a directed network of five-membered groups, the symbols having the following meanings:
p is the set of places;
e is a set of events (Event) that guide the behavior of system state change, and the dynamic process of the system is driven by events and can be divided into: inevitable events and conditional events;
t is a set of transitions;
a is a set of directed arcs (Arc), wherein A ⊊ ((PueE) x T @ U (T × (PueE));
f is the set of generating functions (training Funtcion)
T is the duration, t>=0。
Wherein, Place, Transition and Event form a network, and Event can be timing trigger, external Event trigger and token condition trigger. When the token in the input P1 and P2 satisfies the precondition of Transition and is in the Ready state, Event triggers Transition, realizes the Transition of duration t and outputs the token in P3, and the cycle can complete all transitions in the network.
As shown in FIG. 2, the preconditions required for each Transition (Transition) occurrence include:
A. the Event Hub comprises an Event required for transition;
B. which libraries (Places) the migration prefix has;
C. the number of tokens in the library that need to be consumed.
Defining Event duration t, allowing t =0, when the duration is completed, generating (setting) is completed, and generating a corresponding token according to a post-function calculation after the occurrence is completed, and simultaneously, the post-function can generate one or more events to be placed in an Event Hub to generate a new Event +1 which can be used as an Event of the next Transition, for example, in the process of converting molten iron into steel, the generated heat can heat circulating water in the system, so as to realize the simulation of the working state of the circulating water system in the heating state.
The event network in the embodiment of the application is based on event driving, and compared with the difference of modeling simulation based on message driving in the traditional technology, the event network has the advantages that information and content contained in each event in the event driving are richer than information, for example, the event can write time and generate content, and different types of events can be defined, such as random events, artificial disturbance events, timing events and the like; and the event can generate an event for analog simulation of other systems or subsystems associated with the system, compared with the traditional modeling simulation technology, the method is more efficient and intelligent, and when the scale of the physical system to be simulated is larger, the physical system to be simulated can be split and subjected to distributed modeling simulation based on the unified clock technology, so that the modeling simulation efficiency is improved.
The embodiment of the invention also discloses a model construction device based on the event network technology, which is applied to a modeling simulation platform, and as shown in figure 3, the device comprises:
the modeling module 301 is configured to perform modeling operation on a modeling simulation platform according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated, and incidence relation data representing the entity equipment composition, so as to obtain a virtual system model corresponding to the physical system model to be simulated, where the virtual system model includes a library node representing each entity equipment;
the simulation module 302 is configured to perform a simulation operation on a virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model;
a diagnosis and prediction module 303, configured to perform diagnosis and prediction operations according to the state value corresponding to each library node and association relationship data between the library nodes;
and the optimization module 304 is configured to, when the diagnosis result or the prediction result does not satisfy the preset condition, perform simulation optimization operation on the simulation modeling platform in combination with the virtual system model according to a preset optimization target until the simulation optimization result satisfies the preset condition.
As an optional embodiment of the present invention, the modeling module includes: the mapping submodule is used for carrying out mapping operation on different entity equipment in the entity equipment composition on a modeling simulation platform, and a library node corresponding to each entity equipment is obtained on the modeling simulation platform; the connection sub-module is used for responding to directed connection operation of all nodes of the database according to the incidence relation data among the entity equipment components; the setting submodule is used for setting an initial state value for each library node; and the display submodule is used for displaying the modeling result on a modeling interface of the simulation modeling platform.
As an optional embodiment of the present invention, the diagnosis and prognosis module comprises: the comparison submodule is used for comparing the initial state value before the simulation operation with the state value obtained after the simulation operation; and the diagnosis submodule is used for carrying out diagnosis operation on the simulation modeling process according to the comparison result and the flow direction of the state value corresponding to the node of each library.
As an optional embodiment of the present invention, the diagnosis and prediction module further comprises: the simulation submodule is used for controlling a corresponding virtual system model to perform local accelerated simulation according to the received selection operation of a user on the virtual system model corresponding to any subsystem when the physical system to be simulated comprises a plurality of subsystems; and the prediction submodule is used for predicting the operation result of the physical system within the preset time length according to the simulation result.
An embodiment of the present invention further provides an electronic device, as shown in fig. 4, the electronic device may include a processor 401 and a memory 402, where the processor 401 and the memory 402 may be connected by a bus or in another manner, and fig. 4 takes the connection by the bus as an example.
The memory 402, which is a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the model construction method based on event network technology in the embodiments of the present invention. The processor 401 executes various functional applications and data processing of the processor by running non-transitory software programs, instructions and modules stored in the memory 402, that is, implements the model building method based on the event network technology in the above method embodiments.
The memory 402 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by the processor 401, and the like. Further, the memory 402 may include high speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, memory 402 may optionally include memory located remotely from processor 401, which may be connected to processor 401 via a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 402 and when executed by the processor 401, perform a model building method based on event net technology as in the embodiment shown in fig. 1.
The details of the electronic device may be understood with reference to the corresponding related description and effects in the embodiment shown in fig. 1, and are not described herein again.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard Disk (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (10)
1. A model construction method based on event network technology is applied to a modeling simulation platform and is characterized by comprising the following steps:
according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated and incidence relation data representing the entity equipment composition, a modeling simulation platform is established to perform modeling operation to obtain a virtual system model corresponding to the physical system model to be simulated, wherein the virtual system model comprises a library node representing each entity equipment;
carrying out simulation operation on a virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model;
diagnosing and predicting operation according to the state value corresponding to each library node and the incidence relation data among the library nodes;
and when the diagnosis result or the prediction result does not meet the preset condition, performing simulation optimization operation on the simulation modeling platform by combining the virtual system model according to a preset optimization target until the simulation optimization result meets the preset condition.
2. The method according to claim 1, wherein the step of modeling a simulation platform under construction according to the obtained physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated, and the incidence relation data characterizing the entity equipment composition to obtain the virtual system model corresponding to the physical system model to be simulated comprises the steps of:
different entity equipment in the entity equipment composition is mapped on a modeling simulation platform, and a library node corresponding to each entity equipment is obtained on the modeling simulation platform;
all nodes of a database are responded to and directionally connected according to the incidence relation among the entity equipment components;
setting an initial state value for each library node;
and displaying a modeling result on a modeling interface of the simulation modeling platform.
3. The method according to claim 2, wherein performing the diagnosis operation according to the state value corresponding to each library node and the association relationship data between the library nodes comprises:
comparing the initial state value before the simulation operation with the state value obtained after the simulation operation;
and diagnosing the simulation modeling process according to the comparison result and the flow direction of the state value corresponding to the node of each library.
4. The method according to claim 1, wherein the performing the prediction operation according to the state value corresponding to each library node and the association relationship data between the library nodes comprises:
when the physical system to be simulated comprises a plurality of subsystems, controlling the corresponding virtual system model to perform local accelerated simulation according to the received selection operation of a user on the virtual system model corresponding to any subsystem;
and predicting the operation result of the physical system within the preset time according to the simulation result.
5. A model building device based on event network technology is applied to a modeling simulation platform and is characterized by comprising the following components:
the modeling module is used for modeling and simulating a real platform according to the acquired physical system type to be simulated, the entity equipment composition corresponding to the physical system type to be simulated and incidence relation data representing the entity equipment composition to obtain a virtual system model corresponding to the physical system model to be simulated, wherein the virtual system model comprises a library node representing each entity equipment;
the simulation module is used for carrying out simulation operation on the virtual system model according to a preset simulation trigger condition to obtain a state value corresponding to a node of each library in the virtual system model;
the diagnosis and prediction module is used for carrying out diagnosis and prediction operation according to the state value corresponding to each library node and the incidence relation data among the library nodes;
and the optimization module is used for combining the virtual system model on the simulation modeling platform according to a preset optimization target to perform simulation optimization operation when the diagnosis result or the prediction result does not meet the preset condition until the simulation optimization result meets the preset condition.
6. The apparatus of claim 5, wherein the modeling module comprises:
the mapping submodule is used for carrying out mapping operation on different entity equipment in the entity equipment composition on a modeling simulation platform, and a library node corresponding to each entity equipment is obtained on the modeling simulation platform;
the connection sub-module is used for responding to directed connection operation of all nodes of the database according to the incidence relation data among the entity equipment components;
the setting submodule is used for setting an initial state value for each library node;
and the display submodule is used for displaying the modeling result on a modeling interface of the simulation modeling platform.
7. The apparatus of claim 6, wherein the diagnosis and prognosis module comprises:
the comparison submodule is used for comparing the initial state value before the simulation operation with the state value obtained after the simulation operation;
and the diagnosis submodule is used for carrying out diagnosis operation on the simulation modeling process according to the comparison result and the flow direction of the state value corresponding to the node of each library.
8. The apparatus of claim 5, wherein the diagnosis and prognosis module further comprises:
the simulation submodule is used for controlling a corresponding virtual system model to perform local accelerated simulation according to the received selection operation of a user on the virtual system model corresponding to any subsystem when the physical system to be simulated comprises a plurality of subsystems;
and the prediction submodule is used for predicting the operation result of the physical system within the preset time length according to the simulation result.
9. An electronic device, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the steps of the method of model construction based on event net techniques according to any of claims 1-4.
10. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method for model construction based on event net technology according to any one of claims 1 to 4.
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