CN116430821A - Data processing method and device for industrial production process model - Google Patents
Data processing method and device for industrial production process model Download PDFInfo
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Abstract
The invention relates to the technical field of industrial intelligent application, in particular to a data processing method and device of an industrial production process model. The method comprises the following steps: acquiring industrial production data; according to the industrial production data, building an industrial production scene by utilizing a light engine; according to the industrial production scene, the corresponding industrial production rule is called; binding the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model; and controlling the target process operation by using the industrial production process model. According to the scheme, the industrial production process model is established according to the industrial production data and the industrial production rules, and the actual production process is controlled by using the model, so that the rapid establishment, rapid deployment and rapid application of the industrial production process model are realized, the landing intelligent application period and difficulty of an industrial enterprise are reduced, and the intelligent level of the industrial enterprise is improved.
Description
Technical Field
The invention relates to the technical field of industrial intelligent application, in particular to a data processing method and device of an industrial production process model.
Background
The industrial intellectualization is to continuously integrate various terminals with environmental awareness capability, computing modes based on ubiquitous technology, mobile communication and the like into various links of industrial production, greatly improve the manufacturing efficiency, improve the product quality, reduce the product cost and the resource consumption and promote the traditional industry to a new stage of intellectualization. Along with the development of industrial intelligence, various processes of industrial production are built into models, so that various controls on actual production are realized. The current method for constructing the model for the industrial production process is complex, the technical threshold is high, and the maintenance and management cost is high for enterprises without professional talents.
Disclosure of Invention
The invention aims to solve the technical problems of complex construction method and high cost of the existing production process model by providing a construction method and device of an industrial production process model.
In order to solve the technical problems, the technical scheme of the invention is as follows:
a data processing method of an industrial production process model, comprising:
acquiring industrial production data;
according to the industrial production data, building an industrial production scene by utilizing a light engine;
according to the industrial production scene, the corresponding industrial production rule is called;
binding the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model;
and controlling the target process operation by using the industrial production process model.
Further, the industrial production data includes: operating parameters, production state parameters and material product parameters of industrial production equipment; according to the industrial production data, building an industrial production scene by using a light engine, comprising:
determining an industrial production type according to the industrial production data;
and constructing a planar or three-dimensional industrial production scene by utilizing a light engine according to the industrial production type, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment.
Further, according to the industrial production type, building a planar or stereoscopic industrial production scene by using a lightweight engine, including:
according to the industrial production type, a target resource package is called;
and constructing a planar or three-dimensional industrial production scene by utilizing the light engine and the target resource, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment, production environment and parameters of the production environment.
Further, according to the industrial production scene, the corresponding industrial production rule is called, which comprises the following steps:
according to the industrial production scene, a target industrial production rule is called;
and preprocessing the target industrial production rule to obtain the preprocessed target industrial production rule.
Further, preprocessing the target industrial production rule to obtain a preprocessed target industrial production rule, including:
and carrying out at least one of mean value processing, difference value processing and filtering processing on the target industrial production rule to obtain the pretreated target industrial production rule.
Further, the target industrial production rule includes: the pre-stored control rules, early warning rules, pushing rules and algorithms for industrial production bind the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model, comprising:
binding the industrial production data with the industrial production equipment and the operation parameters of the industrial production equipment, the production environment and the parameters of the production environment to obtain a dynamic industrial production scene;
binding the target industrial production rule with the dynamic industrial production scene to obtain an industrial production process model.
Further, controlling the target process operation using the industrial process model includes:
and controlling the chemical adding operation of the water making process or the water feeding operation of the secondary water supply process water tank by utilizing the industrial production process model.
In another aspect of the present invention, there is provided a data processing apparatus for an industrial process model, comprising:
the acquisition module is used for acquiring industrial production data and sending the industrial production data to the construction module and the binding construction module;
the building module is used for building an industrial production scene by utilizing a light engine according to the industrial production data and sending the industrial production scene to the calling module and the binding building module;
the calling module is used for calling the corresponding industrial production rules according to the industrial production scene and sending the industrial production rules to the binding construction module;
and the binding construction module is used for binding the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model.
And the control module is used for controlling the target process operation by utilizing the industrial production process model.
The scheme of the invention at least comprises the following beneficial effects:
according to the scheme, the industrial production process model is obtained by binding industrial production data, the called industrial production rules and the built industrial production scenes, and the actual production process operation is controlled by using the model, so that the method can be applied to the technical fields of production process simulation, dynamic monitoring, production process optimization and the like, is simple and easy to operate, overcomes the defects of high cost, high specialized requirements and strong dependence of a traditional model construction method, realizes quick construction, quick deployment and quick application of the industrial production process model, reduces the landing intelligent application period and difficulty of industrial enterprises, and improves the intelligent level of the industrial enterprises.
Drawings
FIG. 1 is a step diagram of a data processing method of an industrial process model of the present invention;
fig. 2 is a schematic diagram of a data processing apparatus of an industrial process model of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
As shown in fig. 1, an embodiment of the present invention provides a data processing method of an industrial production process model, including:
s1, acquiring industrial production data;
s2, building an industrial production scene by utilizing a light engine according to the industrial production data;
s3, according to the industrial production scene, the corresponding industrial production rule is called;
step S4, binding the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model;
and S5, controlling target process operation by utilizing the industrial production process model.
According to the scheme, the industrial production process model is obtained by binding industrial production data, the called industrial production rules and the built industrial production scenes, and the actual production process operation is controlled by using the model, so that the method can be applied to the technical fields of production process simulation, dynamic monitoring, production process optimization and the like, is simple and easy to operate, overcomes the defects of high cost, high specialized requirements and strong dependence of a traditional model construction method, realizes quick construction, quick deployment and quick application of the industrial production process model, reduces the landing intelligent application period and difficulty of industrial enterprises, and improves the intelligent level of the industrial enterprises.
In an alternative embodiment of the present invention, the actual industrial production data is obtained in step S1, where the industrial production data includes: industrial production equipment operating parameters, production state parameters and material product parameters. The parameter data provide parameter data for the operation of equipment in the constructed industrial production scene so as to ensure that the constructed industrial production scene is consistent with the actual production scene and improve the applicability and the effectiveness of the industrial production scene. Industrial production data such as equipment operation data (voltage, current, frequency, etc.), production status data (fault signals, operation signals, alarm signals, etc.), material and product data (raw material quality, product quality, etc.) collected by a collection gateway, OPC (in order to establish an interface standard for communication between industrial control system applications, a unified data access specification is established between industrial control equipment and control software), a server, a terminal, etc. devices.
In an alternative embodiment of the present invention, step S2 includes:
s21, determining the industrial production type according to the industrial production data;
and S22, constructing a planar or three-dimensional industrial production scene by utilizing a light engine according to the industrial production type, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment.
The industrial production data specifically include parameters such as current, voltage, pressure, temperature, rotating speed, frequency and the like of production related equipment (such as a grate, an air compressor and a fan), the production type specifically related to industrial production can be determined according to the industrial production data, and a plane or three-dimensional industrial production scene is built by utilizing a lightweight engine according to the production type, so that the industrial production system has practicability and effectiveness.
In an alternative embodiment of the present invention, step S22 includes:
step S221, according to the industrial production type, a target resource package is called;
step S222, a plane or three-dimensional industrial production scene is built by utilizing the lightweight engine and the target resource, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment, production environment and parameters of the production environment.
The resource package comprises various plane or three-dimensional components of equipment, such as physical static components of equipment, pipelines, valves, buildings, environments and the like, and dynamic components of point position parameters, indexes, data curves and the like for visualization, after the industrial production type is determined, the corresponding resource package is called according to the equipment and the like required by the type, and the components of the equipment and the like in the resource package are built by utilizing the lightweight engine, so that the industrial production scene corresponding to the industrial production type can be obtained. Planar or stereoscopic industrial production scenes can be selected according to the needs of users.
In an alternative embodiment of the present invention, step S3 includes:
s31, according to industrial production scene, invoking and targeting industrial production rules; the target industrial production rules include: pre-stored control rules, early warning rules, pushing rules and algorithms for industrial production;
and step S32, preprocessing the target industrial production rule to obtain the preprocessed target industrial production rule.
The early warning rule mainly standardizes standard management of data collected in the production process and algorithm calculation result data, such as upper and lower limits, intervals, enumeration values and the like. The control rules mainly complete the control rules among industrial production equipment, environment and production states, and the control parameters of the equipment can be adjusted through the early warning rules, for example: the frequency of the fan is adjusted by temperature. The pushing rule is combined with the characteristics of the production scene parameters, and information pushing can be performed according to the triggering times and the triggering time period, wherein the pushing mode comprises in-station messages, mails and short messages. For example: and pushing information to equipment management personnel when the vibration of the fan exceeds a threshold value for 3 times within 5 minutes.
After the industrial production scene is built, corresponding control rules, early warning rules, pushing rules and algorithms are called according to actual application, and are used for controlling equipment and production environment in the industrial production scene and subsequently controlling actual production process operation, so that industrial intelligent application is completed.
In an alternative embodiment of the present invention, step S32 is specifically: and carrying out one or more pretreatment(s) of mean value treatment or difference value treatment or filtering treatment on the target industrial production rule to obtain the pretreated target industrial production rule.
And the target industrial production rule is preprocessed, noise or other influences are eliminated, and accuracy is improved.
In an alternative embodiment of the present invention, step S4 includes:
step S41, binding industrial production data with industrial production equipment and operation parameters of the industrial production equipment, production environment and parameters of the production environment to obtain a dynamic industrial production scene;
and step S42, binding the target industrial production rule with the dynamic industrial production scene to obtain an industrial production process model.
The operation parameters, production state parameters and material product parameters of the industrial production equipment in the obtained industrial production data are associated and bound with the industrial production scene, and after the industrial production scene is bound, the industrial production scene is changed into a dynamic industrial production scene, and the industrial production equipment in the industrial production scene starts to operate as the actual production process; the control rule, algorithm and early warning rule in the industrial production rule are bound with the dynamic industrial production scene, and specifically, various operation parameters of the industrial production equipment are associated with the control rule, the early warning rule and the access parameters of the algorithm, normal product production can be realized in the industrial production scene, and when the industrial production equipment fails or production goes wrong, alarm information can be given out and output.
In an alternative embodiment of the present invention, step S4 further includes:
and step S43, packaging and outputting the industrial production process model.
After the industrial production process model is packed, the industrial production process model can be installed in a server or a controller of target process operation, so that the actual target process operation is controlled and early-warned, and the intelligent popularization and application of industrial production are realized.
In an alternative embodiment of the present invention, step S5 includes:
and controlling the chemical adding operation of the water making process or the water feeding operation of the secondary water supply process water tank by utilizing an industrial production process model.
Take PAC dosing application in water plants as an example.
The medicine adding link of the water plant is in a very important position in the operation of the water plant, and is one of important links for ensuring water quality. The main purpose of adding medicine is to adjust the pH value, water temperature and dissolved oxygen index of water to meet the requirement of users on water quality. Meanwhile, the dosing is also an important means for ensuring the stability of water quality, and can effectively prevent the water quality from being influenced by external pollution and natural factors. The current dosing links are typically controlled manually by specialized dosing equipment and operators (pharmacists).
In the embodiment, an industrial production scene of water production process dosing is built by utilizing components in a lightweight engine, such as a dosing pump, a production line, detection equipment (SCD detector, sensor and the like) and other static physical equipment or production environments, actual monitoring points including turbidity, flow, SCD monitoring values, dosing pump frequency and other actual physical parameters are added in the industrial production scene, linear regression and support vector machine algorithms are prepared, dosing amount is predicted, an algorithm with a good evaluation result is selected, the predicted value is converted into a control parameter result of the dosing pump through a mathematical algorithm and output, the actual physical parameters and algorithm access parameters are bound one by one to establish an association relation, a production process model of water production process dosing is generated, the model is packaged and input into an actual water production process dosing controller, or the actual water production process dosing controller is in remote wireless connection, real-time data acquisition, processing and execution can be carried out on actual water production process dosing operation, dosing pump control (or remote control) is realized, and intelligent dosing application is realized.
The processing procedure of the algorithm involved is: SCD (flowing current detector, index of monitoring is swimming current) is taken as main influencePrediction of the dosage of factors
The ginseng mainly comprises raw water turbidity +.>
And
instantaneous flow of water intake->
Turbidity before sinking->
and />
SCD value detected by flowing current detector, turbidity of effluent +.>
Establishing an access parameter relation through an algorithm: />
。
By establishing the relation between the frequency of the dosing pump and the predicted value
Conversion algorithm with pump frequency F:
after the dosing pump frequency F is obtained, the dosing pump frequency F is issued to a pump machine, so that a closed loop for controlling dosing is realized.
The secondary water supply pump house is used for controlling water inflow of a water tank based on water consumption.
The intelligent water inlet model of the secondary pump house can realize real-time monitoring of the information such as water quality, water quantity, water temperature, water outlet flow and pressure in the municipal water supply network, so that the water inlet flow and water quality can be better controlled. Through intelligent control, the water inlet of the two-supply pump house can be managed more intelligently, so that the water inlet efficiency and the water quality are improved.
In this embodiment, an industrial production scene of water inlet operation of a secondary water supply process water tank is built by using components in a lightweight engine, such as production equipment (water tank, pipeline and the like), detection equipment (pressure, flow and other sensors), control equipment (network management, butterfly valve, pump and the like), wall body, floor and other static physical equipment or production environment, and actual monitoring points including actual physical parameters such as pressure, water tank liquid level, butterfly valve opening and the like are added in the industrial production scene. The method comprises the steps of calling a LightGbm algorithm and a support vector machine to predict the water consumption of a pump room, calculating the water consumption of the pump room by using a linear regression algorithm and a decision tree algorithm, selecting an algorithm with a good evaluation result, binding actual physical parameters with algorithm access parameters one by one to establish an association relationship, converting the association relationship into the opening degree of a water inlet control butterfly valve by using a mathematical algorithm, generating a production process model of water inlet operation of a secondary water supply process water tank, packaging the model and inputting the model into a controller of the actual water inlet operation of the secondary water supply process water tank, or carrying out remote wireless connection with the controller, and acquiring, processing and executing real-time data of the actual water inlet operation of the secondary water supply process water tank to realize the management of water inlet of a secondary water supply pump room.
The algorithm involved therein is calculated as: obtaining a predicted value of the water consumption
Therefore, it is
。
Predicted value of water consumption
Pressure of pipe network->
Flow->
Water tank level L, outlet pipe pressure
Flow->
As a reference, the opening degree of the butterfly valve is +.>
Calculation is performed, so
Obtaining the opening degree of the butterfly valve>
And then, issuing a command to the pump to realize the closed loop control of water inlet of the water tank.
As shown in fig. 2, the present embodiment provides a data processing apparatus of an industrial process model, including:
the acquisition module is used for acquiring industrial production data and sending the industrial production data to the construction module and the binding construction module;
the construction module is used for constructing an industrial production scene by utilizing a light engine according to the industrial production data and sending the industrial production scene to the calling module and the binding construction module;
the calling module is used for calling corresponding industrial production rules according to the industrial production scene and sending the industrial production rules to the binding construction module;
and the binding construction module is used for binding the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model.
And the control module is used for controlling the target process operation by utilizing the industrial production process model.
According to the scheme, the industrial production process model is obtained by binding industrial production data, the called industrial production rules and the built industrial production scenes, and the actual production process operation is controlled by using the model, so that the method can be applied to the technical fields of production process simulation, dynamic monitoring, production process optimization and the like, is simple in device and easy to operate, overcomes the defects of high cost, high specialized requirements and strong dependence of a traditional model building method, realizes quick construction, quick deployment and quick application of the industrial production process model, reduces the landing intelligent application period and difficulty of industrial enterprises, and improves the intelligent level of the industrial enterprises.
In an alternative embodiment of the present invention, the obtaining module obtains actual industrial production data, where the industrial production data includes: industrial production equipment operating parameters, production state parameters and material product parameters. The parameter data provide parameter data for the operation of equipment in the constructed industrial production scene so as to ensure that the constructed industrial production scene is consistent with the actual production scene and improve the applicability and the effectiveness of the industrial production scene. Industrial production data such as equipment operation data (voltage, current, frequency, etc.), production status data (fault signals, operation signals, alarm signals, etc.), material and product data (raw material quality, product quality, etc.) collected by a collection gateway, OPC (in order to establish an interface standard for communication between industrial control system applications, a unified data access specification is established between industrial control equipment and control software), a server, a terminal, etc. devices.
In an alternative embodiment of the present invention, the building module is specifically configured to:
determining the industrial production type according to the industrial production data;
according to the industrial production type, a planar or three-dimensional industrial production scene is built by utilizing a light engine, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment.
The industrial production data specifically include parameters such as current, voltage, pressure, temperature, rotating speed, frequency and the like of production related equipment (such as a grate, an air compressor and a fan), the production type specifically related to industrial production can be determined according to the industrial production data, and a plane or three-dimensional industrial production scene is built by utilizing a lightweight engine according to the production type, so that the industrial production system has practicability and effectiveness.
In an alternative embodiment of the present invention, the building module is specifically configured to:
according to the industrial production type, a target resource package is called;
and constructing a planar or three-dimensional industrial production scene by utilizing the light engine and the target resource package, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment, production environment and parameters of the production environment.
The resource package comprises various plane or three-dimensional components of equipment, such as physical static components of equipment, pipelines, valves, buildings, environments and the like, and dynamic components of point position parameters, indexes, data curves and the like for visualization, after the industrial production type is determined, the corresponding resource package is called according to the equipment and the like required by the type, and the components of the equipment and the like in the resource package are built by utilizing the lightweight engine, so that the industrial production scene corresponding to the industrial production type can be obtained. Planar or stereoscopic industrial production scenes can be selected according to the needs of users.
In an alternative embodiment of the present invention, the retrieving module is specifically configured to:
according to industrial production scene, calling and target industrial production rules; the target industrial production rules include: pre-stored control rules, early warning rules, pushing rules and algorithms for industrial production;
and preprocessing the target industrial production rule to obtain the preprocessed target industrial production rule.
The early warning rule mainly standardizes standard management of data collected in the production process and algorithm calculation result data, such as upper and lower limits, intervals, enumeration values and the like. The control rules mainly complete the control rules among industrial production equipment, environment and production states, and the control parameters of the equipment can be adjusted through the early warning rules, for example: the frequency of the fan is adjusted by temperature. The pushing rule is combined with the characteristics of the production scene parameters, and information pushing can be performed according to the triggering times and the triggering time period, wherein the pushing mode comprises in-station messages, mails and short messages. For example: and pushing information to equipment management personnel when the vibration of the fan exceeds a threshold value for 3 times within 5 minutes.
After the industrial production scene is built, corresponding control rules, early warning rules, pushing rules and algorithms are called according to actual application, and are used for controlling equipment and production environment in the industrial production scene and subsequently controlling actual production process operation, so that industrial intelligent application is completed.
In an alternative embodiment of the present invention, the retrieving module is specifically configured to: and carrying out one or more pretreatment(s) of mean value treatment or difference value treatment or filtering treatment on the target industrial production rule to obtain the pretreated target industrial production rule.
And the target industrial production rule is preprocessed, noise or other influences are eliminated, and accuracy is improved.
In an alternative embodiment of the present invention, the binding construction module is specifically configured to:
binding industrial production data with industrial production equipment and operation parameters of the industrial production equipment, production environment and parameters of the production environment to obtain a dynamic industrial production scene;
binding the target industrial production rule with the dynamic industrial production scene to obtain the industrial production process model.
The operation parameters, production state parameters and material product parameters of the industrial production equipment in the obtained industrial production data are associated and bound with the industrial production scene, and after the industrial production scene is bound, the industrial production scene is changed into a dynamic industrial production scene, and the industrial production equipment in the industrial production scene starts to operate as the actual production process; the control rule, algorithm and early warning rule in the industrial production rule are bound with the dynamic industrial production scene, and specifically, various operation parameters of the industrial production equipment are associated with the control rule, the early warning rule and the access parameters of the algorithm, normal product production can be realized in the industrial production scene, and when the industrial production equipment fails or production goes wrong, alarm information can be given out and output.
In an alternative embodiment of the present invention, the binding building module is further configured to:
and packaging and outputting the industrial production process model.
After the industrial production process model is packed, the industrial production process model can be installed in a server or a controller of target process operation, so that the actual target process operation is controlled and early-warned, and the intelligent popularization and application of industrial production are realized.
In an alternative embodiment of the present invention, the control module is specifically configured to:
and controlling the chemical adding operation of the water making process or the water feeding operation of the secondary water supply process water tank by utilizing an industrial production process model.
The embodiment of the invention also provides a processing device, which comprises: a processor, a memory storing a computer program which, when executed by the processor, performs the method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
Embodiments of the present invention also provide a computer-readable storage medium comprising instructions which, when run on a computer, cause the computer to perform a method as described above. All the implementation manners in the method embodiment are applicable to the embodiment, and the same technical effect can be achieved.
While the foregoing is directed to the preferred embodiments of the present invention, it will be appreciated by those skilled in the art that various modifications and adaptations can be made without departing from the principles of the present invention, and such modifications and adaptations are intended to be comprehended within the scope of the present invention.
Claims (10)
1. A method of data processing for an industrial process model, comprising:
acquiring industrial production data;
according to the industrial production data, building an industrial production scene by utilizing a light engine;
according to the industrial production scene, the corresponding industrial production rule is called;
binding the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model;
and controlling the target process operation by using the industrial production process model.
2. The method of claim 1, wherein the industrial process data comprises: operating parameters, production state parameters and material product parameters of industrial production equipment; according to the industrial production data, building an industrial production scene by using a light engine, comprising:
determining an industrial production type according to the industrial production data;
and constructing a planar or three-dimensional industrial production scene by utilizing a light engine according to the industrial production type, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment.
3. The data processing method of an industrial process model according to claim 2, wherein constructing a planar or stereoscopic industrial process scene with a lightweight engine according to the industrial process type comprises:
according to the industrial production type, a target resource package is called;
and constructing a planar or three-dimensional industrial production scene by utilizing the light engine and the target resource, wherein the industrial production scene comprises industrial production equipment and operation parameters of the industrial production equipment, production environment and parameters of the production environment.
4. A method of processing data of an industrial process model according to claim 3, wherein retrieving the corresponding industrial rules according to the industrial scenario comprises:
according to the industrial production scene, a target industrial production rule is called;
and preprocessing the target industrial production rule to obtain the preprocessed target industrial production rule.
5. The method for processing data of an industrial process model according to claim 4, wherein preprocessing the target industrial process rule to obtain a preprocessed target industrial process rule comprises:
and carrying out at least one of mean value processing, difference value processing and filtering processing on the target industrial production rule to obtain the pretreated target industrial production rule.
6. The method of claim 4, wherein the target industrial process rule comprises: the pre-stored control rules, early warning rules, pushing rules and algorithms for industrial production bind the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model, comprising:
binding the industrial production data with the industrial production equipment and the operation parameters of the industrial production equipment, the production environment and the parameters of the production environment to obtain a dynamic industrial production scene;
binding the target industrial production rule with the dynamic industrial production scene to obtain an industrial production process model.
7. The method of claim 1, wherein controlling the target process operation using the industrial process model comprises:
and controlling the chemical adding operation of the water making process or the water feeding operation of the secondary water supply process water tank by utilizing the industrial production process model.
8. A data processing apparatus for an industrial process model, comprising:
the acquisition module is used for acquiring industrial production data and sending the industrial production data to the construction module and the binding construction module;
the building module is used for building an industrial production scene by utilizing a light engine according to the industrial production data and sending the industrial production scene to the calling module and the binding building module;
the calling module is used for calling the corresponding industrial production rules according to the industrial production scene and sending the industrial production rules to the binding construction module;
the binding construction module is used for binding the industrial production data, the industrial production rules and the industrial production scene to obtain an industrial production process model;
and the control module is used for controlling the target process operation by utilizing the industrial production process model.
9. A computing device, comprising: a processor, a memory storing a computer program which, when executed by the processor, performs the method of any one of claims 1 to 7.
10. A computer storage medium having instructions stored thereon which, when run on a computer, cause the computer to perform the method of any of claims 1 to 7.
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