CN114397861A - Reaction rectification intelligent factory simulation test system and development method - Google Patents
Reaction rectification intelligent factory simulation test system and development method Download PDFInfo
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Abstract
The application provides a reaction rectification intelligent factory simulation test system based on an industrial operation system. Carrying out virtual system development through three-dimensional software, and developing related controls and designing a system UI interface by combining object-oriented programming design; building a dynamic model through a big data module of an industrial operating system, and compiling a mathematical model of the reactive distillation process through codes to form a functional module; embedding a three-dimensional virtual simulation release Web version into the platform through an industrial operation system by using a webpage component module to form a complete experiment platform; and the three-dimensional virtual simulation experiment carries out data interaction with the industrial operating system through the correspondingly developed API interface. The simulation test platform integrates three-dimensional virtual simulation modeling, an industrial operating system and a big data analysis technology to realize dynamic flow simulation of a reactive distillation production unit, provides data with flexibility and authenticity, and provides a simulation test platform which is closer to reality for the performance of an industrial intelligent system.
Description
Technical Field
The application relates to the field of three-dimensional simulation and industrial operation systems, in particular to a reaction rectification intelligent factory simulation test system and a development method based on an industrial operation system.
Background
The transformation and upgrading of the industry become a new competitive focus of global economic development, and the innovation and development of the industrial economy are pulled by leading the change of industrial production modes through applying new technologies such as cloud computing, big data, Internet of things, artificial intelligence and the like. With the rapid development of information technology, relevant research institutions at home and abroad develop an industrial operating system APP module in the process industry field by deeply exploring the intelligent manufacturing process of the process industry, so as to meet the application requirements of process enterprises in specific industrial scenes such as safety, environmental protection, energy conservation, consumption reduction, quality control, production coordination and the like.
The reactive distillation process is used as a typical chemical production process and widely used in chemical enterprises, not only relates to high-risk or extreme environments, but also has complex and various dynamic characteristics in the production process, and links such as design of a reactive distillation process control system, parameter setting, performance evaluation and the like not only directly influence the product quality, energy conservation, emission reduction and other economic indexes in the whole production process, but also are of great importance for ensuring the safe production and stable operation of the system.
Disclosure of Invention
The application provides an APPs simulation test system of a reactive distillation intelligent factory based on an industrial operation system aiming at the complicated control reactive distillation system process of a typical dangerous process. The technical scheme of the application is as follows:
in a first aspect, an embodiment of the present application provides an intelligent factory simulation test system for reactive distillation based on an industrial operating system, which is characterized by comprising:
the experimental model module comprises a dynamic model for simulating the whole reaction rectification process and an experimental object example; wherein the dynamic model is obtained based on a mathematical model of a reactive distillation process under the framework of an industrial operation system; the dynamic model acquires input data through the object attributes of the experimental object example;
the three-dimensional simulation module comprises a three-dimensional virtual simulation process model for simulating a reactive distillation process and a relational database, wherein the three-dimensional virtual simulation process model comprises an equipment simulation model, a controller, a factory model and a virtual environment; the three-dimensional virtual simulation process model is embedded into a platform of a simulation test system developed based on an industrial operating system in a webpage component mode, the controller adopts a PID control algorithm, and the output of the controller is the valve opening of a valve in the three-dimensional virtual simulation process model; the relational database is used for storing relevant data of the three-dimensional virtual simulation process model;
the data interaction module is used for realizing data interaction between the experimental model module and the three-dimensional simulation module through an API (application program interface) of the three-dimensional simulation module;
and the output result of the controller of the three-dimensional virtual simulation process model is stored in the object attribute of the experimental object example through the data interaction module.
In a second aspect, an embodiment of the present application provides a method for developing a reactive distillation intelligent factory simulation test system based on an industrial operating system, which is characterized by including:
s1, building a system platform of the reaction rectification intelligent factory simulation test system based on the industrial operation system architecture;
s2, creating a three-dimensional end, namely creating a system module control and a system UI interface through Unity3D respectively, and building a three-dimensional virtual simulation process model for simulating a reactive distillation process, wherein the three-dimensional virtual simulation process model comprises an equipment simulation model, a controller, a factory model and a virtual environment, the controller adopts a PID control algorithm, and the output of the controller is the valve opening of a valve in the three-dimensional virtual simulation process model;
s3, acquiring a mathematical model of the reactive distillation process, and acquiring a dynamic model of the whole reactive distillation process according to the mathematical model through a big data module of an industrial operating system, wherein the dynamic model acquires input data through object attributes of an experimental object example;
s4, releasing a Web version of the system module control, the system UI interface and the three-dimensional virtual simulation process model created by the three-dimensional end, and embedding the Web version into the system platform through an industrial operating system in a webpage component module form; and creating an API interface for external calling;
and S5, based on the three-dimensional virtual simulation process model, the dynamic model and the acquired real-time data of the reactive distillation experiment control process, realizing system test of the reactive distillation intelligent factory simulation test system, wherein the system test comprises parameter setting, performance index confirmation and monitoring alarm.
Based on the technical scheme, the method and the device have the advantages that the dynamic flow simulation of the reactive distillation production unit is realized by combining three-dimensional virtual simulation modeling, an industrial operation system and a big data analysis technology, data with flexibility and authenticity are provided, various application scenes and test environments are provided, and a simulation test platform closer to the reality is provided for the performance of an industrial intelligent system.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the application and are not to be construed as limiting the application.
Fig. 1 is an architecture diagram of a reactive distillation smart factory simulation test system according to an embodiment of the present application.
FIG. 2 is a schematic flow chart diagram of a method for developing an industrial operating system based reactive distillation intelligent factory simulation test system according to an embodiment of the application.
Fig. 3 is a block diagram of a test platform of a reactive distillation intelligent factory simulation test system according to an embodiment of the application.
Fig. 4 is an architecture diagram of a three-dimensional simulation module of a reactive distillation smart factory simulation test system according to an embodiment of the application.
Fig. 5 is a test development framework diagram of a reactive distillation smart factory simulation test system according to an embodiment of the application.
FIG. 6 is a flow chart of an implementation of the reactive distillation smart factory simulation test system according to an embodiment of the application.
FIG. 7 is a diagram of an experimental model architecture for an industrial operating system according to an embodiment of the present application.
Fig. 8 is a schematic diagram illustrating the construction of a reactive distillation intelligent factory simulation test system according to an embodiment of the present application.
FIG. 9 is a schematic diagram of a platform page display of a reactive distillation intelligent factory simulation test system according to an embodiment of the present application
Detailed Description
In order to make the technical solutions of the present application better understood by those of ordinary skill in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings.
It should be noted that the terms "first," "second," and the like in this application are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or otherwise described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
A UI (User Interface) is a medium for interaction and information exchange between a system and a User, and it implements conversion between an internal form of information and a human-acceptable form. The user interface is designed between a user and hardware to interactively communicate with each other, aims to enable the user to conveniently and efficiently operate the hardware to achieve bidirectional interaction and complete work expected to be completed by means of the hardware, is widely defined and comprises a human-computer interaction user interface and a graphical user interface, and the user interface exists in the field of human and mechanical information communication.
Unity3D refers generally to Unity (game engine), which is a real-time 3D interactive content authoring and operation platform. Creatives including game development, art, architecture, automobile design, and movie are realized by Unity.
WebGL (Web Graphics Library) is a 3D Graphics protocol.
According to the embodiment of the application, aiming at a multi-unit reaction and separation production process and a reaction rectification strengthening process, based on a strict dynamic process model and actual industrial design data, a flow simulation technology is utilized to simulate real production scenes under different process conditions for an A + B → C ideal material system and a methyl acetate hydrolysis actual reaction rectification production object, and a complete complex control virtual simulation application and test platform is established, so that high-risk, unreachable or irreversible operation, high cost, high consumption, large-scale or comprehensive training and the like can be safely carried out.
The embodiment of the application provides a reaction rectification intelligent factory simulation test system based on an industrial operation system, as shown in figure 1, the test system comprises an experiment model module, a three-dimensional simulation module and a data interaction module,
the experimental model module comprises a dynamic model for simulating the whole reaction rectification process and an experimental object example; wherein the dynamic model is obtained based on a mathematical model of a reactive distillation process under the framework of an industrial operation system; the dynamic model acquires input data through the object attributes of the experimental object example;
the three-dimensional simulation module comprises a three-dimensional virtual simulation process model for simulating a reactive distillation process and a relational database, wherein the three-dimensional virtual simulation process model comprises an equipment simulation model, a controller, a factory model and a virtual environment; the three-dimensional virtual simulation process model is embedded into a platform of a simulation test system developed based on an industrial operating system in a webpage component mode, the controller adopts a PID control algorithm, and the output of the controller is the valve opening of a valve in the three-dimensional virtual simulation process model; the relational database is used for storing relevant data of the three-dimensional virtual simulation process model;
the data interaction module is used for realizing data interaction between the experimental model module and the three-dimensional simulation module through an API (application program interface) of the three-dimensional simulation module;
and the output result of the controller of the three-dimensional virtual simulation process model is stored in the object attribute of the experimental object example through the data interaction module.
The test system provided by the embodiment of the application provides virtual reality simulation of single-loop control and complex multi-loop control of the reactive distillation process of a batch reactor, realizes real-scene reproduction of production detection and control equipment, can know the production process flow at a first visual angle, checks the structure and the working principle of a field detection instrument, and can also manually disassemble and assemble actuating mechanisms such as a detection instrument, a regulating valve and the like.
Corresponding to the reaction rectification intelligent factory simulation test system based on the industrial operation system, the embodiment of the application also provides a development method of the reaction rectification intelligent factory simulation test system based on the industrial operation system. As shown in fig. 2-9, the development method may include the following steps.
S101, building a system platform of the reaction rectification intelligent factory simulation test system based on an industrial operation system architecture.
Wherein, the system platform is called as a reaction rectification intelligent industrial APPs test platform on the page.
In this embodiment, the industry operating system architecture selects the supOS industry operating system, and may perform typesetting and combination, style design, and data binding development industry APP page configuration in a dragging, pulling, and dragging manner through charts, forms, controls, primitives, and custom controls, and implement visual definition of the controls through online configuration of object properties.
The system platform can provide the controls such as charts, forms, controls and primitives required by industrial APP page configuration development, support the realization of visual definition of the controls through online configuration of attributes, support the joint binding of interaction events and data contents, and meet the design requirements of flow monitoring, online reports, workflow management, trend graph analysis and the like.
S102, creating a three-dimensional end, namely respectively creating a system module control and a system UI interface through Unity3D, and building a three-dimensional virtual simulation process model for simulating a reactive distillation process, wherein the three-dimensional virtual simulation process model comprises an equipment simulation model, a controller, a factory model and a virtual environment, as shown in FIG. 3, the controller adopts a PID control algorithm, and the output of the controller is the valve opening of a valve in the three-dimensional virtual simulation process model;
in one embodiment, building a three-dimensional virtual simulation process model simulating a reactive distillation process comprises:
performing three-dimensional virtual modeling through Unity3D based on process analysis of the reactive distillation production process;
and (3) mapping and baking all models obtained by three-dimensional virtual modeling, exporting and converting all models into a format required by the Unity3D software, and importing the models into a Unity3D engine to create a virtual assembly system.
For example, building a three-dimensional virtual simulation process model of a reactive distillation production process, including building equipment simulation models such as a reactor, a distillation column and an instrument, building the equipment simulation models into a plant model, adjusting the equipment simulation models to proper sizes and positions, and pasting and baking all models; and exporting and converting all the three-dimensional virtual simulation process models into a format required by the Unity3D software, and importing the three-dimensional virtual simulation process models into a Unity3D engine to create a virtual assembly system.
The three-dimensional virtual simulation process model (also called three-dimensional simulation model) reads and writes data through a business logic program and an interactive program based on a MySQL database.
The PID control algorithm is based on a mathematical model of the reactive distillation process.
The embodiment of the application provides an industrial operation system-based APPs simulation test platform of a reactive distillation intelligent factory. The platform displays the original visual effect of the equipment through three-dimensional virtual design; the method comprises the production process control of a typical operation unit reactor and a rectifying tower in the process industry; the method also comprises main equipment, pipelines, factory layout, regulation control schemes and operation; the method comprises the steps of detecting instrument type selection, and adjusting the gas switch action mode and the working flow characteristic of a valve.
In this embodiment, the UI front end develops a three-dimensional process model and an operating environment for a real project, and develops an interactive function by a three-dimensional drawing technology, an imaging technology, and a C # language. And (4) developing related system module controls and system UI interfaces in combination with C # programming design.
In one implementation, the UI base control (i.e., root class) of the UI interface of the system takes Canvas as the root class, and the parameter settings include Position, Rotation, Scale, anchor, and the like. All UGUI controls can choose to draw on this root class, for example, a Text control, an Image control, and a Button control in the interface. After the button is clicked, the next instruction is triggered.
S103, acquiring a mathematical model of the reactive distillation process, and acquiring a dynamic model of the whole reactive distillation process according to the mathematical model through a big data module of an industrial operating system, wherein the dynamic model acquires input data through object attributes of an experimental object example.
It can be understood that the experimental management of the supOS in the industrial operating system provides a platform for managing the experimental models, so as to perform unified management on the experimental models.
In an embodiment, as shown in fig. 7, the obtaining a mathematical model of the reactive distillation process and obtaining a dynamic model of the reactive distillation overall process according to the mathematical model through a big data module of the industrial operating system includes:
based on a reaction process dynamics model and a rectifying tower CESH mechanism model, compiling a mathematical model of a reaction rectifying process into a functional module through software codes, and packaging the functional module into a user-defined component in the system platform;
building a first model of the whole reaction rectification process from input to output in the experimental management of the industrial operation system based on the custom component;
obtaining a model input and a training set, and operating the first model through the system platform to obtain a model structure, wherein the model input is the initial opening of a valve involved in a reactive distillation process, and the training set comprises a plurality of parameters involved in the reactive distillation process;
and releasing the model structure to obtain an experimental model, defining the experimental model as an experimental task, setting the number limit and the time interval of the operation data of the experimental task, and repeatedly operating the experimental model in the experimental task to obtain a dynamic model.
After the steps are completed, the dynamic model can continuously run in the industrial operating system.
Optionally, a mathematical model of the reactive distillation process is obtained, and the mathematical model is written by python codes to form a functional module and packaged into a custom component.
It can be understood that the experimental management of the supOS requires that the experimental model is defined as an experimental task, and the experimental task may define an experimental operation period, for example, the experimental model is operated once per second. And repeatedly operating the experiment model in the experiment task, wherein after the operation, a dynamic model is obtained. And according to the input and the output of the dynamic model, forming a repeated and cyclic dynamic process by combining the valve opening output by the controller of the three-dimensional virtual simulation process model. Only this dynamic process requires a start-up condition that starts the dynamic process through the training set and model inputs.
It can be understood that the dynamic model can only run in the industrial operating system by inputting the starting condition, and the dynamic calculation process is realized. The training set and the model input are given initial inputs, and based on the training set and the model input, the system platform forms a dynamic model after initial operation. And updating the input and output of the industrial operating system experiment model every time the industrial operating system experiment task runs out.
It is understood that each example of an industrial operating system subject (abbreviated as subject example) corresponds to a variable, and each variable can be defined and assigned a value, such as defining a temperature 1. The experimental object example of the industrial operating system is equivalent to a data transfer station of the industrial operating system, and experimental data required in the experimental model of the industrial operating system are all obtained from the experimental object example of the industrial operating system. The subject is assigned specific meanings by defining and assigning subject instances.
And the valve opening output by the controller of the three-dimensional virtual simulation process model is interactively transmitted to the object attribute of the experimental object example of the industrial operating system through a data interaction module and data. Namely, the valve opening is used as input, and the dynamic model calculates according to the valve opening to obtain an experimental output result.
In this embodiment, the valve opening output by the controller of the three-dimensional virtual simulation process model is used as the input of the dynamic model, the mathematical model of the reaction rectification process built by packaging is input for calculation, and the parameters of the reaction rectification process, such as temperature, flow and the like, obtained by the mathematical model are output. And after the three-dimensional end receives the operation result data of the dynamic model, updating the control simulation effect of the experiment of the three-dimensional end, and sending the updated output of the controller to an industrial operation system.
S104, releasing a Web version of a system module control, a system UI interface and a three-dimensional virtual simulation process model created by the three-dimensional end, and embedding the Web version into the system platform in a webpage component module form through an industrial operating system; and creates an API interface for external calls.
In this embodiment, the development result of the three-dimensional end is released as the latest WebGL version, so as to implement a plug-in-free HTTP page integration mode; the development result of the three-dimensional end can be embedded into a system platform through a webpage component of an industrial operation system to form a complete experiment platform.
In the embodiment, a HTTP webpage mode of a B/S framework is adopted, and based on a client access mode of a special Web browser server, a virtual simulation experiment project can be released as a latest WebGL version, so that a plug-in-free HTTP page integration mode is realized; the user terminal can directly access the reaction rectification intelligent industrial APPs test platform by using a web browser supporting WebGL.
The API interface for external calling of the industrial operating system needs to be developed independently, and the API interface is used for realizing real-time interaction of external application and data of the industrial operating system.
And S105, based on the three-dimensional virtual simulation process model, the dynamic model and the acquired real-time data of the reactive distillation experiment control process, realizing system test of the reactive distillation intelligent factory simulation test system, wherein the system test comprises parameter setting, performance index confirmation and monitoring alarm.
In the test process, PID parameters and set values can be input into the three-dimensional virtual simulation process model, and control results output by the controller for running and calculating the three-dimensional virtual simulation are sent and stored in the object attributes of the corresponding experimental objects in the system platform.
And periodically operating a dynamic model of the reactive distillation experimental process on the basis of a big data module of the system platform, calculating parameters such as temperature and flow, transmitting the parameters to corresponding object attributes of the platform, and transmitting parameter changes back to the three-dimensional virtual simulation through interface parameters carried in the authorization instruction.
The object attributes are read as input values by the dynamic model at intervals, the dynamic model runs, the output result after the dynamic model completes calculation is returned to the three-dimensional virtual simulation process model through the API of the data interaction module, and then the temperature and the flow in the three-dimensional virtual simulation process model are changed accordingly. The three-dimensional virtual simulation process model and the dynamic model realize the circulation of bidirectional input and output through an API (application program interface).
The main construction content of the reaction rectification intelligent factory simulation test system in the embodiment of the application comprises the following steps: and (3) establishing a mechanism model of the reactive distillation process, and selecting types of instruments and meters, designing a reactive distillation experiment control system, intelligently controlling an industrial process and the like in the reactive distillation process. The platform page of the reactive distillation intelligent factory simulation test system is presented.
The system platform realizes the functions of a dynamic test response process, complex control parameter setting, system test debugging, safety emergency interlocking and the like under different operation conditions of reactive distillation. The system platform can complete the comprehensive design experiment process of a multi-variable control scheme under different operating conditions by knowing three experiment system process flows of simple control of the intermittent reaction of the phenylmethylamine, complex control of the reaction rectification process and control of the reaction rectification process of the methyl acetate, and as shown in fig. 8, a reaction rectification process model (model), instrument and meter model selection (feeling), a complex control system (control) and intelligent control APP (intelligent) multi-dimensional and multi-level experiment are carried out.
The development method of the reaction rectification intelligent factory simulation test system based on the industrial operating system integrates three-dimensional virtual simulation modeling, the industrial operating system, a big data analysis technology and the like to realize dynamic flow simulation of the reaction rectification production unit, provides data with flexibility and authenticity, various application scenes and test environments, and provides a simulation test platform closer to reality for the performance of the reaction rectification industrial intelligent APPs system.
According to the embodiment of the application, a dynamic model is built through a big data module of a system platform, as shown in FIG. 3, a mathematical model of reactive distillation is built, and a classical PID calculation algorithm is introduced. And (3) building an overall process model structure from input to output in the experiment management of the industrial operating system, completing debugging and publishing of the experiment tasks, starting the published experiment tasks, setting the number limit and time interval of the running data, and continuously running the dynamic model obtained by completing the steps in the industrial operating system.
The mathematical model of the reactive distillation process comprises the following expression:
the method comprises the steps of describing a mechanism model of the whole reactive distillation process by analyzing an internal mechanism of the whole reactive distillation process and applying momentum conservation, heat conservation, mass conservation and a reaction dynamics principle, establishing a model structure and an internal relation of the process, and solving by using mathematics and a control theory principle to obtain an expression of the process model.
The reactor was a jacketed, cooled CSTR, in which the irreversible reaction occurred as shown below:
A+B→C
wherein R isCIs the yield of C; cAThe concentration of A in the reaction kettle; cBThe concentration of B in the reaction kettle.
Assuming constant density, the kinetic model of the reactor and jacket can be represented by four non-linear equations as follows:
wherein, FA0Is A material feed flow rate, CA0Concentration of reactant A, FB0Is the material feed flow rate of B, CB0Concentration of reactant B, VRIs the reactor volume, D is the overhead take-off flow, xDAConcentration of A in the overhead reflux, F the reactor outlet flow, zAIs the concentration of A in the reactor outlet flow, xDBIs the concentration of A in the overhead reflux, zBIs the concentration of A in the reactor outlet flow, DvolIs the overhead reflux volume flow, FvolIs the reactor outlet volume flow, TRIs the reactor temperature, T0Is the initial temperature, TJFor cooling the water temperature, AJFor the heat-supply coefficient, ρ is the density, CPAs heat capacity, TCinFor feed temperature, U is the overall heat transfer coefficient, ρJFor cooling water density, CJIs the cooling water heat capacity.
The mole fractions of each stage of trays were calculated as follows:
wherein M isnIs the molar holdup on the column plate, L is the liquid flow rate, V is the vapor flow rate, x is the liquid component, and y is the vapor component.
Assuming that each tray reaches a gas-liquid phase equilibrium, the order composition can be calculated from the known relative volatilities and liquid compositions:
in this experiment, take αA，αB，αCRespectively 3,1.5 and 1.
The relationship between the flow rates and the composition of the reflux tank and the bottom of the column is as follows:
a tower kettle:
a reflux tank:
wherein P is the bottom production flow, D is the top production flow, MPxPAIs the molar mass of P, MDIs the molar mass of D, xPAIs the mole fraction of A in P, xPBIs the mole fraction of B in P, xDAIs the mole fraction of A in D, xDBIs the mole fraction of B in D, and NT is the number of plates.
And compiling the mathematical model of the reactive distillation process into a functional module through Python codes, and packaging the functional module into a custom assembly.
As shown in fig. 6, through the process analysis of the reactive distillation production process, on one hand, a dynamic mechanism model of the reactive distillation production process is obtained through strong coupling and nonlinear processing, and a mathematical model of the reactive distillation process is obtained; on the other hand, industrial production data is obtained through analysis. And then, completing a dynamic control scheme of the reactive distillation process based on a dynamic model of the reactive distillation process and a CESH mechanism model of the distillation tower, performing three-dimensional virtual modeling according to the dynamic control scheme, and finally realizing an APPs simulation test platform of the reactive distillation intelligent factory by combining a process simulation technology, an industrial database and an industrial operation system architecture.
As shown in fig. 9, the system platform of the present embodiment includes a monitoring interface for mastering the adjustment method of the operating parameters such as temperature, flow rate, liquid level, pressure, etc.; the method comprises the complex control principles of PID control, cascade control, multi-loop coupling control and the like.
According to the embodiment of the application, a three-dimensional interactive, three-dimensional and intelligent virtual simulation experiment scene is constructed by fusing a process mechanism model and actual industrial data according to an actual reaction rectification process operation environment. The virtual simulation experiment scene provides application scenes such as multivariable dynamic control tests and the like for an actual reactive distillation production process based on a strict reactive dynamics model and an MESH distillation separation model through data which are generated by the reactive distillation unit flow simulation and have flexibility and reality.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only.
It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (5)
1. A reaction rectification intelligent factory simulation test system based on an industrial operation system is characterized by comprising:
the experimental model module comprises a dynamic model for simulating the whole reaction rectification process and an experimental object example; wherein the dynamic model is obtained based on a mathematical model of a reactive distillation process under the framework of an industrial operation system; the dynamic model acquires input data through the object attributes of the experimental object example;
the three-dimensional simulation module comprises a three-dimensional virtual simulation process model for simulating a reactive distillation process and a relational database, wherein the three-dimensional virtual simulation process model comprises an equipment simulation model, a controller, a factory model and a virtual environment; the three-dimensional virtual simulation process model is embedded into a platform of a simulation test system developed based on an industrial operating system in a webpage component mode, the controller adopts a PID control algorithm, and the output of the controller is the valve opening of a valve in the three-dimensional virtual simulation process model; the relational database is used for storing relevant data of the three-dimensional virtual simulation process model;
the data interaction module is used for realizing data interaction between the experimental model module and the three-dimensional simulation module through an API (application program interface) of the three-dimensional simulation module;
and the output result of the controller of the three-dimensional virtual simulation process model is stored in the object attribute of the experimental object example through the data interaction module.
2. The development method of the reaction rectification intelligent factory simulation test system based on the industrial operation system is characterized by comprising the following steps of:
s1, building a system platform of the reaction rectification intelligent factory simulation test system based on the industrial operation system architecture;
s2, creating a three-dimensional end, namely creating a system module control and a system UI interface through Unity3D respectively, and building a three-dimensional virtual simulation process model for simulating a reactive distillation process, wherein the three-dimensional virtual simulation process model comprises an equipment simulation model, a controller, a factory model and a virtual environment, the controller adopts a PID control algorithm, and the output of the controller is the valve opening of a valve in the three-dimensional virtual simulation process model;
s3, acquiring a mathematical model of the reactive distillation process, and acquiring a dynamic model of the whole reactive distillation process according to the mathematical model through a big data module of an industrial operating system, wherein the dynamic model acquires input data through object attributes of an experimental object example;
s4, releasing a Web version of the system module control, the system UI interface and the three-dimensional virtual simulation process model created by the three-dimensional end, and embedding the Web version into the system platform through an industrial operating system in a webpage component module form; and creating an API interface for external calling;
and S5, based on the three-dimensional virtual simulation process model, the dynamic model and the acquired real-time data of the reactive distillation experiment control process, realizing system test of the reactive distillation intelligent factory simulation test system, wherein the system test comprises parameter setting, performance index confirmation and monitoring alarm.
3. The method of claim 2, wherein building a three-dimensional virtual simulation process model that simulates the reactive distillation process comprises:
performing three-dimensional virtual modeling through Unity3D based on process analysis of the reactive distillation production process;
and (3) mapping and baking all models obtained by three-dimensional virtual modeling, exporting and converting all models into a format required by the Unity3D software, and importing the models into a Unity3D engine to create a virtual assembly system.
4. The method of claim 3, wherein obtaining a mathematical model of the reactive distillation process and deriving a dynamic model of the reactive distillation overall process from the mathematical model via a big data module of the industrial operating system comprises:
based on a reaction process dynamics model and a rectifying tower CESH mechanism model, compiling a mathematical model of a reaction rectifying process into a functional module through software codes, and packaging the functional module into a user-defined component in the system platform;
building a first model of the whole reaction rectification process from input to output in the experimental management of the industrial operation system based on the custom component;
obtaining a model input and a training set, and operating the first model through the system platform to obtain a model structure, wherein the model input is the initial opening of a valve involved in a reactive distillation process, and the training set comprises a plurality of parameters involved in the reactive distillation process;
and releasing the model structure to obtain an experimental model, defining the experimental model as an experimental task, setting the number limit and the time interval of the operation data of the experimental task, and repeatedly operating the experimental model in the experimental task to obtain a dynamic model.
5. The method according to claim 4, wherein the system test of the reactive distillation intelligent factory simulation test system is realized based on the three-dimensional virtual simulation process model, the dynamic model and the acquired real-time data of the reactive distillation experiment control process, and comprises the following steps:
transmitting and storing the valve opening output by the controller of the three-dimensional virtual simulation process model in the object attribute of the corresponding experimental object example in the system platform through a data interaction module;
the dynamic model takes the valve opening degree in the object attribute as input, the mathematical model in the dynamic model in the reactive distillation process is periodically calculated, the temperature and flow parameters obtained by calculation are transmitted to the object attribute of the experimental object example corresponding to the system platform, and the temperature and flow parameter changes are reversely transmitted to the three-dimensional virtual simulation process model through the interface parameters carried in the authorization instruction.
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| Publication number | Priority date | Publication date | Assignee | Title |
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102903268A (en) * | 2012-08-23 | 2013-01-30 | 上海国际化建工程咨询公司 | Dynamic simulation training system for synthesis gas chemical engineering and petrochemical engineering production processes |
| CN107563922A (en) * | 2017-09-11 | 2018-01-09 | 安徽天恩信息科技有限公司 | A kind of Virtual Simulative Experiment management platform and its method |
| US20180189442A1 (en) * | 2015-07-02 | 2018-07-05 | Neuroinitiative, Llc | Simulation environment for experimental design |
| CN108769022A (en) * | 2018-05-29 | 2018-11-06 | 浙江大学 | A kind of industrial control system safety experiment platform for penetration testing |
| CN110264816A (en) * | 2019-06-05 | 2019-09-20 | 武汉工程大学 | Intelligence manufacture factory simulation teaching system and method based on 3D virtual technology |
| CN112528525A (en) * | 2020-12-31 | 2021-03-19 | 河钢数字技术股份有限公司 | Visual industrial process management and control platform based on modeling technology |
| CN113673948A (en) * | 2021-08-02 | 2021-11-19 | 江苏杰瑞信息科技有限公司 | Industrial Internet-based digital twin foundation development platform |
-
2021
- 2021-12-02 CN CN202111460564.XA patent/CN114397861B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102903268A (en) * | 2012-08-23 | 2013-01-30 | 上海国际化建工程咨询公司 | Dynamic simulation training system for synthesis gas chemical engineering and petrochemical engineering production processes |
| US20180189442A1 (en) * | 2015-07-02 | 2018-07-05 | Neuroinitiative, Llc | Simulation environment for experimental design |
| CN107563922A (en) * | 2017-09-11 | 2018-01-09 | 安徽天恩信息科技有限公司 | A kind of Virtual Simulative Experiment management platform and its method |
| CN108769022A (en) * | 2018-05-29 | 2018-11-06 | 浙江大学 | A kind of industrial control system safety experiment platform for penetration testing |
| CN110264816A (en) * | 2019-06-05 | 2019-09-20 | 武汉工程大学 | Intelligence manufacture factory simulation teaching system and method based on 3D virtual technology |
| CN112528525A (en) * | 2020-12-31 | 2021-03-19 | 河钢数字技术股份有限公司 | Visual industrial process management and control platform based on modeling technology |
| CN113673948A (en) * | 2021-08-02 | 2021-11-19 | 江苏杰瑞信息科技有限公司 | Industrial Internet-based digital twin foundation development platform |
Non-Patent Citations (2)
| Title |
|---|
| 丁帅 等: ""苯氯化反应精馏双目标控制系统设计与仿真"", 《计算机仿真》, vol. 32, no. 10, pages 259 - 262 * |
| 陆文捷 等: ""重介质选煤过程控制的Unity 3D虚拟仿真平台"", 《中国科技论文》, vol. 15, no. 11, pages 1241 - 1247 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114880037A (en) * | 2022-05-31 | 2022-08-09 | 南京工业大学 | Industrial APP self-adaptive evolution method based on parameter dynamic configuration and environment driving |
| CN114880037B (en) * | 2022-05-31 | 2024-02-06 | 南京工业大学 | Industrial APP self-adaptive evolution method based on parameter dynamic configuration and environment driving |
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