CN111198870B - Modeling method and system for process equipment - Google Patents
Modeling method and system for process equipment Download PDFInfo
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Abstract
The invention relates to the field of modeling, in particular to a modeling method and a system of process equipment, wherein the method comprises the following steps: according to the characteristic value of the process equipment, a process equipment demand database is established; acquiring process equipment demand data of a target production system, and comparing the process equipment demand data with characteristic values of process equipment stored in a process equipment demand database to determine the type of the process equipment; establishing a process equipment model library, and searching and matching corresponding reference models in the process equipment model library according to the process equipment types; if the reference model is matched with the corresponding reference model, taking the matched reference model as a target equipment model; if the reference model is not matched with the corresponding reference model, the universal reference model is used as a target equipment model; the desired data is collected from the target equipment model and process equipment instances defined by the model are generated. The invention can quickly realize modeling of process equipment and has reliability and accuracy.
Description
Technical Field
The present invention relates to the field of modeling, and in particular, to a method and system for modeling process equipment.
Background
Under the continuous promotion of intelligent manufacturing and industrial Internet, intelligent factory construction gradually becomes urgent needs of enterprise quality improvement and efficiency improvement and development, but the process equipment structure of the process industry is complex and has large variability, so that great difficulty is brought to enterprise resource integration and intelligent factory system integrated construction.
In the aspect of unified modeling of process equipment in the process industry, the existing application system lacks a unified, consistent, reliable and stable method, so that the life cycle management of production equipment is difficult, the operation management of the application system is complex, and the collaborative work of the system is difficult. In the production process of industries such as chemical industry, petroleum industry, pharmacy industry, light industry, energy industry, environmental protection, food industry and the like, a great number of models of process equipment are urgently needed to be established so as to support technical activities of the whole life cycle (development, design, construction, operation, abandonment/recovery/remanufacturing) of the equipment, and to stably improve the production economic benefit.
The model description of process equipment in different industries has great difference, the equipment information interaction among production lines, departments and enterprises is subjected to a complicated conversion process, and the conversion of each link generally requires the participation of personnel with higher expertise. Such overly complex processes and such high personnel-ability dependencies reduce the reliability and accuracy of information interaction between heterogeneous systems on the one hand, and efficiency on the other hand, and resource utilization is low.
The existing equipment modeling method is mostly based on special and customized equipment, and has the defects of high resource consumption, heavy workload and poor reusability.
Disclosure of Invention
In order to solve the problems, the invention provides a modeling method and a modeling system for process equipment.
A method of modeling process equipment, comprising:
according to the characteristic value of the process equipment, a process equipment demand database is established;
acquiring process equipment demand data of a target production system, and comparing the process equipment demand data with characteristic values of process equipment stored in a process equipment demand database to determine the type of the process equipment;
establishing a process equipment model library, and searching and matching corresponding reference models in the process equipment model library according to the process equipment types;
if the reference model is matched with the corresponding reference model, taking the matched reference model as a target equipment model; if the reference model is not matched with the corresponding reference model, the universal reference model is used as a target equipment model;
the desired data is collected from the target equipment model and process equipment instances defined by the model are generated.
Preferably, the characteristic value of the process device is extracted by a characteristic data model, wherein the characteristic data model is:
FDM i,code (t)＝f{C i ，F i ，P i ，M i ，E i (t)}，
wherein: FDM is the feature value of the single feature data in the feature data model, code represents the coding of the process equipment, C i Mechanical structure information representing process equipment, i representing characteristic values of an ith structural feature in a plurality of structural data information of the process equipment, F i Characteristic value, P, representing the ith item of functional information of process equipment i Characteristic value representing ith performance information of process equipment, M i Characteristic value representing manufacturing information of ith item of process equipment, E i (t) represents a characteristic value of the ith construction information of the process equipment at the stage t.
Preferably, after the acquiring the process equipment requirement data of the target production system, the method further comprises:
setting a process equipment data state value Vcode (state) and judging whether new demand data exists or not, wherein the code represents the code of the process equipment; the state is the state of the current process equipment demand data, and the states are start and finish;
when process equipment demand data is ready to be recorded, generating a corresponding coded state value variable, wherein a start input state value of which the state is start is true, and an end input state value of which the state is finish is false;
when the process equipment demand data is input, assigning a value to the coded state value variable again, wherein the initial input state value of the state is false, the final input state value of the state is true, and reading the characteristic value of the process equipment.
Preferably, the establishing a process equipment model library includes: information of multiple dimensions of the process equipment is acquired, and model information of the process equipment is described from the multiple dimensions.
Preferably, the information of the plurality of dimensions includes: mechanical structure information I of process equipment C The method comprises the steps of carrying out a first treatment on the surface of the Function information I of a process installation F The method comprises the steps of carrying out a first treatment on the surface of the Physical, chemical or technical Properties of Process equipment I P The method comprises the steps of carrying out a first treatment on the surface of the Environmental information of process equipment I L The method comprises the steps of carrying out a first treatment on the surface of the Business information I describing process equipment B The method comprises the steps of carrying out a first treatment on the surface of the Information I of material and mechanical safety data in process equipment operation and production system operation safety constraint S The method comprises the steps of carrying out a first treatment on the surface of the Manufacturing information I of process equipment M The method comprises the steps of carrying out a first treatment on the surface of the Build information I of process equipment E The method comprises the steps of carrying out a first treatment on the surface of the Operation information I of process equipment O 。
A modeling system for process equipment, comprising:
a process equipment demand database for storing characteristic values of process equipment;
the process equipment classification model library is used for acquiring process equipment demand data of the target production system, and comparing the process equipment demand data with characteristic values of process equipment stored in the process equipment demand database to determine the type of the process equipment;
a process equipment model library for retrieving and matching corresponding reference models in the process equipment model library according to the process equipment type; if the reference model is matched with the corresponding reference model, taking the matched reference model as a target equipment model; if the reference model is not matched with the corresponding reference model, the universal reference model is used as a target equipment model;
an equipment model data acquisition module for acquiring required data according to a target equipment model,
a process equipment instance generation module for generating a process equipment instance defined by the target equipment model.
Preferably, the process equipment requirement database extracts the characteristic value of the process equipment through a characteristic data model, wherein the characteristic data model is as follows:
FDM i,code (t)＝f{C i ，F i ，P i ，M i ，E i (t)}，
wherein: FDM is the feature value of the single feature data in the feature data model, code represents the coding of the process equipment, C i Mechanical structure information representing process equipment, i representing characteristic values of an ith structural feature in a plurality of structural data information of the process equipment, F i Characteristic value, P, representing the ith item of functional information of process equipment i Characteristic value representing ith performance information of process equipment, M i Characteristic value representing manufacturing information of ith item of process equipment, E i (t) represents a characteristic value of the ith construction information of the process equipment at the stage t.
Preferably, the method further comprises: the equipment type characteristic identification module is used for setting a process equipment data state value Vcode (state) and judging whether new demand data exists or not, wherein the code represents the coding of the process equipment; the state is the state of the current process equipment demand data, and the states are start and finish;
when process equipment demand data is ready to be recorded, generating a corresponding coded state value variable, wherein a start input state value of which the state is start is true, and an end input state value of which the state is finish is false;
when the process equipment demand data is input, assigning a value to the coded state value variable again, wherein the initial input state value of the state is false, the final input state value of the state is true, and reading the characteristic value of the process equipment.
Preferably, the process equipment model library is further configured to obtain information of a plurality of dimensions of the process equipment, and describe model information of the process equipment from the plurality of dimensions.
Preferably, the information of the plurality of dimensions includes: mechanical structure information I of process equipment C The method comprises the steps of carrying out a first treatment on the surface of the Function information I of a process installation F The method comprises the steps of carrying out a first treatment on the surface of the Physical, chemical or technical Properties of Process equipment I P The method comprises the steps of carrying out a first treatment on the surface of the Environmental information of process equipment I L The method comprises the steps of carrying out a first treatment on the surface of the Description of the inventionBusiness information I of process equipment B The method comprises the steps of carrying out a first treatment on the surface of the Information I of material and mechanical safety data in process equipment operation and production system operation safety constraint S The method comprises the steps of carrying out a first treatment on the surface of the Manufacturing information I of process equipment M The method comprises the steps of carrying out a first treatment on the surface of the Build information I of process equipment E The method comprises the steps of carrying out a first treatment on the surface of the Operation information I of process equipment O 。
By using the invention, the following effects can be achieved:
1. according to the characteristic values of the process equipment, a process equipment demand database is established, process equipment demand data of a target production system is obtained, characteristic value comparison is carried out on the process equipment demand data and the characteristic values of the process equipment stored in the process equipment demand database, the process equipment type is determined, a process equipment model library is established, corresponding reference models are searched and matched in the process equipment model library according to the process equipment type, modeling of the process equipment can be rapidly achieved, and reliability and accuracy are achieved;
2. the information of the process equipment is comprehensively considered from multiple dimensions, various key information of the process equipment can be completely stored, information support is provided for full life cycle management of the process equipment, and the integrity of modeling data information is ensured;
3. the equipment modeling not only covers static constant data of equipment in the process of creating, but also considers dynamic data in the operation process of the equipment, so that the application field of the model is wider, and the flexibility and the effectiveness of the modeling method are improved.
Drawings
The invention will be described in further detail with reference to the drawings and the detailed description.
FIG. 1 is a schematic block diagram of a modeling method of process equipment in accordance with an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a modeling method of process equipment in accordance with an embodiment of the invention;
FIG. 3 is a schematic block diagram of a modeling system for process equipment in accordance with one embodiment of the present invention.
Detailed Description
The technical scheme of the present invention will be further described with reference to the accompanying drawings, but the present invention is not limited to these examples.
The basic idea of the invention is that according to the characteristic value of the process equipment, a process equipment demand database is established, process equipment demand data of a target production system is obtained, characteristic value comparison is carried out between the process equipment demand data and the characteristic value of the process equipment stored in the process equipment demand database to determine the type of the process equipment, a process equipment model library is established, corresponding reference models are searched and matched in the process equipment model library according to the type of the process equipment, and if the corresponding reference models are matched, the matched reference models are used as target equipment models; if the model is not matched with the corresponding reference model, the universal reference model is used as a target equipment model, required data is collected according to the target equipment model, and a process equipment example defined by the model is generated, so that modeling of the process equipment can be rapidly realized, and the model has reliability and accuracy.
Based on the above inventive concept, the present embodiment proposes a modeling method of process equipment, as shown in fig. 1-2, including the following steps:
s1: and establishing a process equipment demand database according to the characteristic values of the process equipment.
A model of the characteristic data at the time of the process equipment is established is determined as the primary source of data for the subsequent determination of the process equipment type.
The characteristic data model is as follows: FDM (frequency division multiplexing) i,code (t)＝f{C i ，F i ，P i ，M i ，E i (t) }. Wherein: FDM is a feature value of single feature data in a feature data model, and is characterized by a certain feature in a post-equation expression, code represents the coding of process equipment, C i Mechanical structure information representing process equipment, i representing characteristic values of an ith structural feature in a plurality of structural data information of the process equipment, F i Characteristic value, P, representing the ith item of functional information of process equipment i Characteristic value representing ith performance information of process equipment, M i Characteristic value representing manufacturing information of ith item of process equipment, E i (t) represents a characteristic value of the ith construction information of the process equipment at the stage t.
The feature data model collects static and dynamic feature values of the process equipment from multiple dimensions, basic feature requirements of the process equipment can be obtained from related files of a target production system, and the process equipment model is described from multiple angles, so that the application field of the model is wider, and the flexibility and the effectiveness of a modeling method are improved.
And establishing a process equipment demand database according to the characteristic data model, receiving equipment data from the target production system design file, and storing corresponding characteristic value data according to a specified format.
S2: and acquiring process equipment demand data of the target production system, and comparing the process equipment demand data with characteristic values of process equipment stored in a process equipment demand database to determine the type of the process equipment.
Aiming at the target production system, the process equipment demand data to be stored is collected, the characteristic data such as the structure of the process equipment can be obtained from the design file of the target production system, and the characteristic values are filled out according to the specification requirements of the corresponding values. The data value of the non-key item is allowed to be null, the collected data set is saved to the equipment requirement database, and the equipment code is used as a unique index.
In an embodiment, after the acquiring the process equipment requirement data of the target production system, further comprises: setting a process equipment data state value Vcode (state) and judging whether new demand data exists or not, wherein the code represents the code of the process equipment; the state is the state of the current process equipment demand data, and the state is start and finish. When process equipment demand data is ready to be recorded, generating a corresponding coded state value variable, wherein a start input state value of which the state is start is true, and an end input state value of which the state is finish is false; when the process equipment demand data is input, assigning a value to the coded state value variable again, wherein the initial input state value of the state is false, the final input state value of the state is true, and reading the characteristic value of the process equipment.
The work instruction and process of setting and listening to the process equipment data state value Vcode (state) includes:
1)V code (start)＝true&V code (finish) =false. Wherein when to be inputWhen equipment demand data is ready to be recorded, generating a corresponding coded state value variable, wherein a start input state value with a state of start is true, and an end input state value with a state of finish is false;
2)V code (start)＝false&V code (finish) =true. When the input of the target equipment demand information is finished, assigning a value to a state value variable corresponding to the code again, wherein the initial input state value of the state is false, and the final input state value of the state is true;
3) When the corresponding event of 1) occurs, starting to monitor the state value in 1); when the state value corresponding to the 2) appears, starting to execute the characteristic value reading of the equipment type;
4) When a plurality of events meeting 1) exist, starting a plurality of monitoring threads to monitor the data entry state of corresponding coding equipment; when a plurality of events meeting the requirement of 2) exist, generating an event sequence to be identified according to the time sequence reaching the requirement of 2), and executing the event sequence one by one.
The data update status is monitored in a subscription/publication manner while interacting in real-time with the equipment requirements database. When new equipment requirement information is completely added to the equipment requirement database, an equipment identification function is triggered to identify the equipment information of the appointed code. A process equipment classification database is established in advance for typical process equipment types of the target industry, and characteristic values of different types of equipment are stored. And comparing the read demand data information with the type characteristics of the equipment in the classification library, and determining the characteristic value of the type of the process equipment to be established.
According to characteristic values of process equipment demand data of a target production system, equipment types are divided from a manufacturing characteristic angle aiming at typical process equipment of a flow industry:
1) Welding. Type characteristics: process equipment with welding as a main manufacturing means;
2) Machining. Type characteristics: a process machine having machining as a main manufacturing means;
3) Others. Type characteristics: a process device which is produced by a comprehensive manufacturing means according to special production process requirements.
And comparing the collected characteristic value of the equipment type with the classifying characteristics of each equipment in the process equipment demand database to determine the type of the target process equipment.
The method for establishing the process equipment model library comprises the following steps: information of multiple dimensions of the process equipment is acquired, and model information of the process equipment is described from the multiple dimensions.
The information of the plurality of dimensions includes: i C The mechanical structure information describing the process equipment can be inquired from a demand data table, and can also be supplemented by design files, and the mechanical structure information meets the requirements of specific standards; i F The function information describing the process equipment can be inquired from a demand data table or can be supplemented by a design file; i P The physical, chemical or technical characteristics describing the process equipment, including the technical and economic characteristics of the production units, can be queried from a demand data table, and can also be supplemented by design files; i L Information describing the location, geography, weather environment, etc. of the process equipment; i B Business information describing asset value, vendor, manufacturer, delivery time, packaging, etc. of the process equipment; i S Information describing material and mechanical safety data during operation of the process equipment and operational safety constraints of the production system; i M Manufacturing information describing the process equipment can be queried from a demand data table or can be supplemented by design files; i E Construction information describing field manufacturing, installation, detection, test and debugging of process equipment, production device commissioning information and the like; i O The specifications/regulations, required operational information, followed by activities describing production preparation, product production, parking, event handling, material movement, inspection, request and response, etc.
Model information of the process equipment can be more comprehensively described from the nine-dimension information, a reference model of the process equipment is built according to the model information, unified process equipment description language and semantics are formed, and an interoperation basis is provided for integrated construction of the process industry.
The equipment modeling not only covers static constant data of equipment in the process of creating, but also considers dynamic data in the operation process of the equipment, so that the application field of the model is wider, and the flexibility and the effectiveness of the modeling method are improved.
And establishing a nine-dimensional universal reference model of the process equipment according to the nine-dimensional information, and determining a specific definition model of the welding type, the machining type and other types of process equipment according to the process equipment universal reference model. Following process equipment related specifications and standards, and incorporating manufacturing knowledge, a defined model of the process equipment is formulated.
S4: if the reference model is matched with the corresponding reference model, taking the matched reference model as a target equipment model; and if the reference model is not matched with the corresponding reference model, taking the general reference model as a target equipment model.
After the types of process equipment are obtained, the equipment types in the process equipment model library are retrieved. If the sub equipment types under the welding equipment and the machining equipment are successfully matched with the target equipment, generating a corresponding target equipment model for the process equipment; if the matching fails, the universal reference model is taken as a target equipment model of the equipment.
The modeling method provides a general reference model for typical equipment in industry, and supports the derivation of a definition model for specific type equipment on the model. The modeling flow and the modeling method of the equipment are standardized, the built model can be used for various equipment of the same type, and an equipment model library can be continuously perfected and enriched through the use of the model and the accumulation of industry knowledge, so that the reusability and the resource utilization rate of the model are greatly improved.
S5: the desired data is collected from the target equipment model and process equipment instances defined by the model are generated.
After the target equipment model is determined, a data acquisition module can be started, and nine-dimensional definition data required by the model are acquired from equipment requirement databases, equipment modeling specification files, target production system files and the like through a special data acquisition system. The target process equipment instance of the production system is obtained by obtaining data information defining each definition item of the model, thereby forming final data of equipment definition.
Correspondingly, in terms of hardware convenience, the embodiment also proposes a modeling system of process equipment, as shown in fig. 3, including: a process equipment demand database for storing characteristic values of process equipment; the process equipment classification model library is used for acquiring process equipment demand data of the target production system, and comparing the process equipment demand data with characteristic values of process equipment stored in the process equipment demand database to determine the type of the process equipment; a process equipment model library for retrieving and matching corresponding reference models in the process equipment model library according to the process equipment type; if the reference model is matched with the corresponding reference model, taking the matched reference model as a target equipment model; if the reference model is not matched with the corresponding reference model, the universal reference model is used as a target equipment model; the equipment model data acquisition module is used for acquiring required data according to the target equipment model, and the process equipment instance generation module is used for generating a process equipment instance defined by the target equipment model.
The process equipment demand database extracts the characteristic value of the process equipment through a characteristic data model, wherein the characteristic data model is as follows:
FDM i,code (t)＝f{C i ，F i ，P i ，M i ，E i (t)}，
wherein: FDM is the feature value of the single feature data in the feature data model, code represents the coding of the process equipment, C i Structural data information representing process equipment, i representing characteristic values of an ith structural feature in a plurality of structural data information of the process equipment, F i Characteristic value, P, representing the ith item of functional information of process equipment i Characteristic value representing ith performance information of process equipment, M i Characteristic value representing manufacturing information of ith item of process equipment, E i (t) represents a characteristic value of the ith construction information of the process equipment at the stage t.
In one embodiment, the modeling system further comprises: the equipment type characteristic identification module is used for setting a process equipment data state value Vcode (state) and judging whether new demand data exists or not, wherein the code represents the coding of the process equipment; the state is the state of the current process equipment demand data, and the states are start and finish; when process equipment demand data is ready to be recorded, generating a corresponding coded state value variable, wherein a start input state value of which the state is start is true, and an end input state value of which the state is finish is false; when the process equipment demand data is input, assigning a value to the coded state value variable again, wherein the initial input state value of the state is false, the final input state value of the state is true, and reading the characteristic value of the process equipment.
In an embodiment, the process equipment model library is further configured to obtain information for a plurality of dimensions of the process equipment from which model information for the process equipment is described.
The information of the plurality of dimensions includes: mechanical structure information I of process equipment C The method comprises the steps of carrying out a first treatment on the surface of the Function information I of a process installation F The method comprises the steps of carrying out a first treatment on the surface of the Physical, chemical or technical Properties of Process equipment I P The method comprises the steps of carrying out a first treatment on the surface of the Environmental information of process equipment I L The method comprises the steps of carrying out a first treatment on the surface of the Business information I describing process equipment B The method comprises the steps of carrying out a first treatment on the surface of the Information I of material and mechanical safety data in process equipment operation and production system operation safety constraint S The method comprises the steps of carrying out a first treatment on the surface of the Manufacturing information I of process equipment M The method comprises the steps of carrying out a first treatment on the surface of the Build information I of process equipment E The method comprises the steps of carrying out a first treatment on the surface of the Operation information I of process equipment O 。
The principle and implementation method based on the hardware modules mentioned in the present embodiment, such as the process equipment requirement database, the process equipment classification model library, the process equipment model library, the equipment model data acquisition module, the process equipment instance generation module, the equipment type feature identification module, and the like, are disclosed in the above method embodiments, so that no description is repeated.
Those skilled in the art may make various modifications or additions to the described embodiments or substitutions thereof without departing from the spirit of the invention or exceeding the scope of the invention as defined in the accompanying claims.
Claims (4)
1. A method of modeling process equipment, comprising:
establishing a process equipment demand database according to typical process equipment types of a target industry, and storing characteristic values of equipment of different types;
acquiring process equipment demand data of a target production system, and comparing the process equipment demand data with characteristic values of process equipment stored in a process equipment demand database to determine the type of the process equipment;
establishing a process equipment model library, and searching and matching corresponding reference models in the process equipment model library according to the process equipment types;
if the reference model is matched with the corresponding reference model, taking the matched reference model as a target equipment model; if the reference model is not matched with the corresponding reference model, the universal reference model is used as a target equipment model;
collecting required data according to a target equipment model, and generating a process equipment instance defined by the model;
the characteristic value of the process equipment is extracted through a characteristic data model, wherein the characteristic data model is as follows:
FDM i,code (t)＝f{C i ，F i ，P i ，M i ，E i (t)}，
wherein: FDM is the feature value of the single feature data in the feature data model, code represents the coding of the process equipment, C i Mechanical structure information representing process equipment, i representing characteristic values of an ith structural feature in a plurality of structural data information of the process equipment, F i Characteristic value, P, representing the ith item of functional information of process equipment i Characteristic value representing ith performance information of process equipment, M i Characteristic value representing manufacturing information of ith item of process equipment, E i (t) represents a characteristic value of the ith construction information of the process equipment at the stage t;
the establishing a process equipment model library comprises the following steps: acquiring information of multiple dimensions of the process equipment, and describing model information of the process equipment from the multiple dimensions;
the information of the plurality of dimensions includes: mechanical structure information I of process equipment C The method comprises the steps of carrying out a first treatment on the surface of the Function information I of a process installation F The method comprises the steps of carrying out a first treatment on the surface of the Physical, chemical or technical Properties of Process equipment I P The method comprises the steps of carrying out a first treatment on the surface of the Environmental information of process equipment I L The method comprises the steps of carrying out a first treatment on the surface of the Business information I describing process equipment B The method comprises the steps of carrying out a first treatment on the surface of the Information I of material and mechanical safety data in process equipment operation and production system operation safety constraint S The method comprises the steps of carrying out a first treatment on the surface of the Manufacturing information I of process equipment M The method comprises the steps of carrying out a first treatment on the surface of the Build information I of process equipment E The method comprises the steps of carrying out a first treatment on the surface of the Operation information I of process equipment O 。
2. A method of modeling process equipment as claimed in claim 1 further comprising, after said obtaining process equipment demand data for the target production system:
setting a process equipment data state value Vcode (state) and judging whether new demand data exists or not, wherein the code represents the code of the process equipment; the state is the state of the current process equipment demand data, and the states are start and finish;
when process equipment demand data is ready to be recorded, generating a corresponding coded state value variable, wherein a start input state value of which the state is start is true, and an end input state value of which the state is finish is false;
when the process equipment demand data is input, assigning a value to the coded state value variable again, wherein the initial input state value of the state is false, the final input state value of the state is true, and reading the characteristic value of the process equipment.
3. A modeling system for process equipment, comprising:
a process equipment demand database established according to typical process equipment types of the target industry for storing characteristic values of different types of equipment;
the process equipment classification model library is used for acquiring process equipment demand data of the target production system, and comparing the process equipment demand data with characteristic values of process equipment stored in the process equipment demand database to determine the type of the process equipment;
a process equipment model library for retrieving and matching corresponding reference models in the process equipment model library according to the process equipment type; if the reference model is matched with the corresponding reference model, taking the matched reference model as a target equipment model; if the reference model is not matched with the corresponding reference model, the universal reference model is used as a target equipment model;
an equipment model data acquisition module for acquiring required data according to a target equipment model,
a process equipment instance generation module for generating a process equipment instance defined by the target equipment model;
the process equipment demand database extracts the characteristic value of the process equipment through a characteristic data model, wherein the characteristic data model is as follows:
FDM i,code (t)＝f{C i ，F i ，P i ，M i ，E i (t)}，
wherein: FDM is the feature value of the single feature data in the feature data model, code represents the coding of the process equipment, C i Mechanical structure information representing process equipment, i representing characteristic values of an ith structural feature in a plurality of structural data information of the process equipment, F i Characteristic value, P, representing the ith item of functional information of process equipment i Characteristic value representing ith performance information of process equipment, M i Characteristic value representing manufacturing information of ith item of process equipment, E i (t) represents a characteristic value of the ith construction information of the process equipment at the stage t;
establishing a process equipment model library for acquiring information of multiple dimensions of process equipment and describing model information of the process equipment from the multiple dimensions;
the information of the plurality of dimensions includes: mechanical structure information I of process equipment C The method comprises the steps of carrying out a first treatment on the surface of the Function information I of a process installation F The method comprises the steps of carrying out a first treatment on the surface of the Physical, chemical or technical Properties of Process equipment I P The method comprises the steps of carrying out a first treatment on the surface of the Environmental information of process equipment I L The method comprises the steps of carrying out a first treatment on the surface of the Business information I describing process equipment B The method comprises the steps of carrying out a first treatment on the surface of the Information I of material and mechanical safety data in process equipment operation and production system operation safety constraint S The method comprises the steps of carrying out a first treatment on the surface of the Manufacturing information I of process equipment M The method comprises the steps of carrying out a first treatment on the surface of the Build information I of process equipment E The method comprises the steps of carrying out a first treatment on the surface of the Operation information I of process equipment O 。
4. A modeling system for a process installation as claimed in claim 3, further comprising: the equipment type characteristic identification module is used for setting a process equipment data state value Vcode (state) and judging whether new demand data exists or not, wherein the code represents the coding of the process equipment; the state is the state of the current process equipment demand data, and the states are start and finish;
when process equipment demand data is ready to be recorded, generating a corresponding coded state value variable, wherein a start input state value of which the state is start is true, and an end input state value of which the state is finish is false;
when the process equipment demand data is input, assigning a value to the coded state value variable again, wherein the initial input state value of the state is false, the final input state value of the state is true, and reading the characteristic value of the process equipment.
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