CN112951334B - Construction method of large-scale pressure vessel structural material integrated computing system - Google Patents
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Abstract
The invention discloses a method for constructing a large-scale pressure vessel structural material integrated computing system, and belongs to the technical field of material computing. The construction method of the invention comprises the following steps: s1, building sub-platforms, and completing development of calculation engines of all the sub-platforms; s2, constructing an overall architecture of the integrated computing system, and establishing transmission channels of all sub-platforms to jointly complete simulation prediction; s3, based on databases of all sub-platforms, establishing a database of reactor structural materials by using an integration technology; s4, developing a user operation interface and a result display interface based on the LINUX system and the visual UI technology; s5, based on a Hadoop technology, the operation data is stored by using a distributed storage technology; and establishing a data processing interface of the integrated platform, and directly importing data in a visual UI interface. The invention improves the accuracy and stability of the prediction result.
Description
Technical Field
The invention belongs to the technical field of material calculation, and particularly relates to a method for constructing a large-scale pressure vessel structural material integrated calculation system.
Background
The nuclear power material has a severe working environment, threats such as high temperature, high pressure, low temperature embrittlement, corrosion, stress corrosion, strong neutron irradiation and the like exist in service, the requirements on safety and reliability are very high, however, the development period of the nuclear power material is very long due to the severe working service environment, and the development and progress of the nuclear power technology are seriously affected. In 2008, computing material engineering (ICMC) is proposed by the national research and development institute, and the combination of computational thermodynamics and computational dynamics to simulate micro-scale to macro-scale can realize the computation of a multi-phase material system. In 2011, the United states proposes a material genome project (MGI), and the idea is promoted to the whole material field, and by utilizing a supercomputer and a big data technology, the research and development speed of materials is accelerated, the research and development cost is reduced, and further, the comprehensive reform of a material research mode is realized. In the same year, china also starts to make a Chinese version material genome plan and invests a great deal of funds for research. The core of the material genetic engineering is to introduce ideas and methods of combinatorial chemistry and material informatics into material calculation simulation, and find out the composition 'genes' determining the key properties of materials in a rational and predictable manner through material calculation so as to design new compounds.
The development of advanced material computing technologies is critical to the realization of material design, where computational thermodynamics, computational dynamics, and phase field simulation are important components of material computation. The corresponding calculation software is indispensable, and in order to ensure the accuracy of material simulation, the research, development and optimization of the corresponding material calculation software are important. The thermodynamic calculation is based on the thermodynamic properties and phase diagrams of materials under different components, temperatures and pressures, and the phase equilibrium is the main part, and common software is Thermo-Calc, pandat and the like. The first principle of sex is used to calculate the electronic structure, mechanical properties, thermodynamic properties and kinetic properties of a material. The software commonly used is: materials studio, VASP, PWSF, etc. Molecular dynamics can predict physical, chemical, mechanical and other properties of materials from atomic scale, and materials Studio, DL-POLY, lammps and other software are often used. The phase field method can study the influence of force field, flow field, intrinsic defects of materials and the like on microstructure morphology, but no general commercial software exists at present, and the method is mainly programmed by researchers. In the material research and development process, the material is ring-buckled and ring-shaped, and independent calculation software can only carry out calculation simulation on a certain direction or field, data transmission among different software can generate errors and prolong the research and development period, and the accuracy and stability of prediction are affected. How to break up the calculation of materials into pieces is a great difficulty for the scientific researchers.
Disclosure of Invention
The invention aims to overcome the defects that calculation software can only perform calculation simulation in a certain direction or field, errors can be generated in data transmission among different software and the research and development period is prolonged, and provides a method for constructing a large-scale pressure vessel structural material integrated calculation system.
In order to achieve the purpose, the invention is realized by adopting the following technical scheme:
a building method of a large-scale pressure vessel structural material integrated computing system comprises the following steps:
s1, building sub-platforms, and completing development of calculation engines of all the sub-platforms;
the sub-platform comprises a first sexual principle computing platform, a thermodynamic computing platform, a molecular dynamics computing platform, a phase field computing platform and a finite element computing platform;
the first sex principle computing platform is used for acquiring the relation between the types and the contents of alloy elements and the crystal parameters and the mechanical properties of the material;
the thermodynamic calculation platform is used for obtaining influences of alloy element types and contents on the balance phase, the unbalance phase and the hardenability of the stainless steel material;
the molecular dynamics calculation platform is used for completing the mechanical property analysis of the material and obtaining mechanical parameters of elastic modulus, elongation and stress-strain curve;
the phase field computing platform is used for obtaining the influence of the production and processing technology on the recrystallization process and the final grain shape, size and uniformity;
the finite element computing platform is used for obtaining material related mechanical parameters and providing parameters for material design research and development;
s2, constructing an overall architecture of the integrated computing system, and establishing transmission channels of all sub-platforms to jointly complete simulation prediction;
the transmission channel enables each sub-platform data to be called simultaneously and in parallel;
s3, based on databases of all sub-platforms, establishing a database of reactor structural materials by using an integration technology;
s4, developing a user operation interface and a result display interface based on the LINUX system and the visual UI technology;
s5, based on a Hadoop technology, the operation data is stored by using a distributed storage technology;
and establishing a data processing interface of the integrated platform, and directly importing data in a visual UI interface.
Further, the construction sub-platform in S1 specifically operates as:
configuring a server infrastructure to provide a simulation software installation and operation environment;
selecting a compiler to optimize the code level of the simulation software, and selecting a high-level instruction set to optimize the micro-architecture level of the simulation software;
performing secondary development on the compiled simulation software to realize different performance requirements of each sub-platform and perfect a platform computing engine;
and establishing a database of each sub-platform.
Further, a first principle computing platform is built, and the specific method is as follows:
configuring a computer server to have a first principle computing software installation environment;
installing and compiling first sexual principle calculation software VASP, and performing secondary development of the software;
corresponding to establishing a standardized model, inputting data parameters, and acquiring the relation between the types and the contents of alloy elements and the crystal parameters and the mechanical properties of the material;
the thermodynamic calculation platform is built, and the specific method is as follows:
configuring a server and a software installation basic environment;
installing and compiling thermodynamic calculation software, writing corresponding programs, and performing software secondary development;
simulating the change of phase components of a binary phase diagram and a ternary isothermal phase diagram of the material along with the temperature to obtain the influence of the types and the contents of alloy elements on the balance phase, the unbalance phase and the hardenability of the stainless steel material;
the molecular dynamics calculation platform is built, and the specific method is as follows:
configuring a server and a software installation basic environment;
installing compiling thermodynamic calculation software, and writing a development program by combining with a visualization tool to finish the development of a calculation engine;
establishing a multi-element physical model, completing the analysis of mechanical properties of the material, and obtaining mechanical parameters of elastic modulus, elongation and stress-strain curve;
the phase field computing platform is built, and the specific method is as follows:
configuring a server and a program compiling environment;
writing a phase field simulation program to finish the development of a computing engine;
obtaining the influence of the production and processing technology on the recrystallization process and the final grain shape, size and uniformity through simulation calculation;
the method for building the finite element computing platform comprises the following steps of:
configuring a server and a software installation basic environment;
installing and compiling thermodynamic calculation software to finish the development of a calculation engine;
by importing the output data, the stress-strain relation of the material in the elastic stage, the yield stage, the strengthening stage and the necking stage is obtained, and the detailed mechanical property is obtained.
Further, the specific operation of S2 is:
through a software platform development technology, integrated software, a data source, a calculation graph, a visualization and a calculation model are integrated and developed, and the whole platform architecture is designed and completed;
completing the connection of the data interfaces among all the sub-platforms, so that the data transmission forms a closed loop;
and the data transmission errors are controlled by using the related mathematical model, so that the data set transmission mode is optimized, and the data transmission precision is improved.
Further, in S2, a loop for data transmission of each sub-platform formed by the transmission channel of each sub-platform is established as follows:
the output data of the first sexual principle computing platform is used as initial parameters of the molecular dynamics platform and the finite element computing platform;
output data of the thermodynamic calculation platform provides phase composition relations of materials with different components for first sexual principle calculation and provides original parameters for phase field simulation;
the molecular dynamics computing platform imports the output parameters of the first sexual principle computing platform and the thermodynamic computing platform, and after the operation is completed, the output parameters are exported to the finite element computing platform;
the phase field computing platform imports the output parameters of the thermodynamic computing platform, and imports the output parameters into the finite element computing platform after the operation is completed;
the finite element computing platform imports the output parameters of the first sex principle computing platform, the thermodynamic computing platform, the molecular dynamics computing platform and the phase field computing platform, and the mechanical property result of the material is output after the operation is completed.
Further, the specific operation of S3 is:
collecting and storing sub-platform data to establish a sub-platform operation database;
the sub-platform operation database comprises a first sexual principle calculation platform database, a thermodynamic calculation platform database, a molecular dynamics calculation platform database, a phase field calculation platform database and a finite element calculation platform database;
integrating the databases of the sub-platforms to build an integrated platform database,
the integrated platform database comprises a standard database, a knowledge information database and respective characteristic databases, and can perform functions of adding, deleting, modifying, calling, inquiring and searching data.
Further, the specific operation of S4 is:
establishing a data processing UI interface, a DAG UI interface, a resource job management UI interface, a model hosting UI interface, a user management UI interface and a result display UI interface through corresponding development software and a visual UI technology;
and improving the UI function setting, setting a UI left functional area, a canvas area and an attribute area, and combining the attribute area and the canvas area to form a calculation flow chart.
Furthermore, in S5, the distributed storage technology is applied to store the operation data based on the Hadoop technology, which specifically comprises the following steps:
independently placing data generated during operation of each sub-platform by utilizing a corresponding data storage device;
and by using the HDFS distributed storage system technology and adopting an extensible system structure, all the data storage devices are integrated in a centralized way to form a virtual storage device, so that the data storage of the whole operation platform is realized.
Further, in S5, a data processing interface of the integration platform is established, so that the user can directly import data in the visual UI interface, and the specific operations are as follows:
configuring a corresponding environment, so that the data import support line uploads data and also supports integration and fusion of various heterogeneous data sources;
the data input work is carried out at the front end in a mode of uploading data locally or uploading a data source;
and (3) making a unified interface, and reading different heterogeneous data to integrate the data.
Compared with the prior art, the invention has the following beneficial effects:
according to the method for constructing the integrated computing system of the structural material of the large pressure vessel, disclosed by the invention, various methods of different computing scales in the material computing field are combined, so that high-precision simulation prediction of microscopic to macroscopic properties of the material is realized, and the time cost and the labor cost in the development process of the structural material of the large pressure vessel are greatly reduced; the built integrated computing platform consists of a first sexual principle computing platform, a thermodynamic computing platform, a molecular dynamics computing platform, a phase field computing platform and a finite element computing platform, optimizes the data transmission mode among the platforms, forms a loop, and ensures the high efficiency and the accuracy of data transmission; an integrated platform database is built, so that huge data volume generated in the operation process can be stored, and the requirements of searching, calling and analyzing by a user are met; meanwhile, a high-efficiency man-machine interaction port is established by combining a visualization technology, a researcher can directly complete a joint operation process by operating an integrated software input material parameter calling computing platform, the software greatly simplifies operation steps, has the characteristics of instantaneity and parallelism, saves the time of starting hands and improves the operation efficiency; and finally, a corresponding storage device is established by using a distributed storage technology, so that the speed and the number of data storage are effectively improved.
Drawings
FIG. 1 is a flow chart of the present invention;
FIG. 2 is a schematic diagram of a large pressure vessel fabric integration computing system of the present invention;
FIG. 3 is a schematic diagram of data transfer from a sub-platform of a large pressure vessel fabric integrated computing system of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The invention is described in further detail below with reference to the attached drawing figures:
referring to fig. 1, fig. 1 is a schematic flow chart of the invention, and the method for constructing the large-scale pressure vessel structural material integrated computing system comprises the following steps:
s1, building sub-platforms, and completing development of calculation engines of all the sub-platforms;
the sub-platform comprises a first sexual principle computing platform, a thermodynamic computing platform, a molecular dynamics computing platform, a phase field computing platform and a finite element computing platform;
s2, constructing an overall architecture of the integrated computing system, and establishing a transmission channel of each sub-platform, wherein the transmission channel enables the data of each sub-platform to be simultaneously and parallelly called, and simulation prediction is jointly completed;
s3, based on databases owned by all sub-platforms, establishing a reactor structural material database by using an integration technology;
s4, developing a user operation interface and a result display interface based on LINUX system and visual UI technology, and meeting the front-end operation requirement;
s5, based on the Hadoop technology, the distributed storage technology is used for storing operation data, the real-time performance and the parallelism of calculation are guaranteed, a data processing interface of the integrated platform is completed, and a user can directly import data in a visual UI interface.
According to the invention, each sub-platform is subjected to integrated processing, so that a series of simulation operation processes can be performed, a corresponding material database is established, the visual UI technology and the distributed data storage technology are utilized, the simulation calculation process can be efficiently processed, the calculation accuracy is improved, the research time cost is reduced, and the method and the idea are provided for the material selection of researchers.
In a preferred example of step 2, an integrated platform overall architecture is constructed to complete the establishment of transmission channels of all sub-platforms, so that all sub-platform data can be called simultaneously and in parallel, and the joint completion simulation prediction comprises the following steps:
configuring a server infrastructure to provide a simulation software installation and operation environment;
selecting a compiler to optimize the code level of the simulation software, and selecting a high-level instruction set to optimize the micro-architecture level of the simulation software;
performing secondary development on the compiled simulation software to realize different performance requirements of each sub-platform, perfecting a platform calculation engine, enabling calculation operation to be more efficient and accurate, and meeting high-flux calculation requirements;
establishing a database of each sub-platform;
the built computing system sub-platforms are respectively: a first principle computing platform, a thermodynamic computing platform, a molecular dynamics computing platform, a phase field computing platform and a finite element computing platform. Each computing platform completes the computation simulation of different requirements and carries out data transmission and interaction;
in a preferred embodiment of the invention, constructing a database based on all sub-platforms, and constructing a novel reactor structural material database by using an integration technology comprises the following steps:
the method can carry out simultaneous parallel call on the data of each sub-platform and jointly complete simulation prediction, and comprises the following specific steps:
through a software platform development technology, integrated software, a data source, a calculation graph, a visualization and a calculation model are integrated and developed, and the whole platform architecture is designed and completed;
completing the connection of the data interfaces among the software platforms, so that the data transmission forms a closed loop;
optimizing the data set transmission mode, and utilizing the related mathematical model to strictly control the data transmission error, thereby improving the data transmission precision.
The novel reactor structural material data gene library is an integrated result of a sub-platform library of a five-large computing system, all computing data of the sub-platform are imported into the novel reactor structural material data gene library, so that the rapid input and reading of the data can be realized, the five computing simulation processes are tightly combined, and the formed computing integrated platform can realize instantaneity, accuracy, conciseness, parallelism and safety.
In a preferred embodiment of the present invention, based on the LINUX system and the visual UI technology, developing a user operation interface and a result display interface, and satisfying the front-end operation requirement includes:
through corresponding development software and visual UI technology, a data processing UI interface, a DAG UI interface, a resource job management UI interface, a model hosting UI interface, a user management UI interface and a result display UI interface are established;
and perfecting UI interface function setting, setting a UI interface left functional area, a canvas area and an attribute area, and combining the attribute area and the canvas area to form a final calculation flow chart.
The visual UI interface is designed and developed, so that the operation of researchers is greatly facilitated, the speed of the hands on is high, and the operation difficulty is greatly reduced. In the UI interface, the material gene data can be directly input and output, the performance parameters of each aspect of the material can be comprehensively checked, and a reference basis is provided for the material selection design of researchers.
In a preferred embodiment of the present invention, based on Hadoop technology, a distributed storage technology is used to store operation data, so as to ensure real-time performance and parallelism of calculation, complete a data processing interface of an integrated platform, and enable a user to directly import data in a visual UI interface, including:
independently placing data generated during operation of each sub-platform by utilizing a corresponding data storage device;
by using the HDFS distributed storage system technology and adopting an extensible system structure, all data storage devices are integrated in a centralized way to form a virtual storage device, so that the data storage of the whole operation platform is realized;
configuring a corresponding environment, wherein data import can support online uploading of data and integrated fusion of various heterogeneous data sources (log files and txt);
the user can directly perform data input work at the front end by uploading data locally or uploading a data source;
the system establishes a unified interface, reads different heterogeneous data and performs data integration.
The distributed storage technology is an efficient storage method, so that real-time performance and parallelism of a computing platform are realized, response efficiency is met under a real-time use scene, a data storage mode is determined aiming at special data in the material field, data reading is designated, an interface is converted, and a data source is unified.
Referring to fig. 2, fig. 2 is a schematic diagram of a large-scale pressure vessel structural material integrated computing system according to the present invention; by integrating various simulation software, various calculation parameters and calculation models are imported, the simulation calculation of the first sex principle, thermodynamics, molecular dynamics, phase field and crystal plasticity finite elements is realized, and visual data analysis is carried out.
Referring to fig. 3, fig. 3 is a schematic diagram of data transmission of a sub-platform of the large-scale pressure vessel structural material integrated computing system, and a data transmission channel is built by using an integrated technology, so that output data of each sub-platform can be mutually communicated, and the purpose of efficient computation is achieved, and the specific transmission mode is as follows:
first sexual principle computing platform: outputting data as initial parameters of molecular dynamics and finite element calculation;
thermodynamic computing platform: the output data provides phase composition relations of materials with different components for first sexual principle calculation and provides original parameters for phase field simulation;
molecular dynamics calculation platform: leading in a first sexual principle and thermodynamic output parameter, and leading in the input parameter into finite element calculation;
and a phase field computing platform: importing thermodynamic output parameters as input parameters into a finite element computing platform;
finite element computing platform: and importing all the platform output data, and outputting the data to obtain the detailed mechanical properties of the material.
The above is only for illustrating the technical idea of the present invention, and the protection scope of the present invention is not limited by this, and any modification made on the basis of the technical scheme according to the technical idea of the present invention falls within the protection scope of the claims of the present invention.
Claims (7)
1. The method for constructing the large-scale pressure vessel structural material integrated computing system is characterized by comprising the following steps of:
s1, building sub-platforms, and completing development of calculation engines of all the sub-platforms;
the sub-platform comprises a first sexual principle computing platform, a thermodynamic computing platform, a molecular dynamics computing platform, a phase field computing platform and a finite element computing platform;
the first sex principle computing platform is used for acquiring the relation between the types and the contents of alloy elements and the crystal parameters and the mechanical properties of the material;
the thermodynamic calculation platform is used for obtaining influences of alloy element types and contents on the balance phase, the unbalance phase and the hardenability of the stainless steel material;
the molecular dynamics calculation platform is used for completing the mechanical property analysis of the material and obtaining mechanical parameters of elastic modulus, elongation and stress-strain curve;
the phase field computing platform is used for obtaining the influence of the production and processing technology on the recrystallization process and the final grain shape, size and uniformity;
the finite element computing platform is used for obtaining material related mechanical parameters and providing parameters for material design research and development;
s2, constructing an overall architecture of the integrated computing system, and establishing transmission channels of all sub-platforms to jointly complete simulation prediction;
the transmission channel enables each sub-platform data to be called simultaneously and in parallel;
the specific operation of S2 is as follows:
through a software platform development technology, integrated software, a data source, a calculation graph, a visualization and a calculation model are integrated and developed, and the whole platform architecture is designed and completed;
completing the connection of the data interfaces among all the sub-platforms, so that the data transmission forms a closed loop;
the data transmission errors are controlled by using the related mathematical model, so that the data set transmission mode is optimized, and the data transmission precision is improved;
s2, establishing a loop for data transmission of each sub-platform formed by a transmission channel of each sub-platform as follows:
the output data of the first sexual principle computing platform is used as initial parameters of the molecular dynamics platform and the finite element computing platform;
output data of the thermodynamic calculation platform provides phase composition relations of materials with different components for first sexual principle calculation and provides original parameters for phase field simulation;
the molecular dynamics computing platform imports the output parameters of the first sexual principle computing platform and the thermodynamic computing platform, and after the operation is completed, the output parameters are exported to the finite element computing platform;
the phase field computing platform imports the output parameters of the thermodynamic computing platform, and imports the output parameters into the finite element computing platform after the operation is completed;
the finite element computing platform imports the output parameters of the first sex principle computing platform, the thermodynamic computing platform, the molecular dynamics computing platform and the phase field computing platform, and outputs the mechanical property result of the material after the operation is completed;
s3, based on databases of all sub-platforms, establishing a database of reactor structural materials by using an integration technology;
s4, developing a user operation interface and a result display interface based on the LINUX system and the visual UI technology;
s5, based on a Hadoop technology, the operation data is stored by using a distributed storage technology;
and establishing a data processing interface of the integrated platform, and directly importing data in a visual UI interface.
2. The building method according to claim 1, characterized in that the building sub-platform in S1 operates specifically as:
configuring a server infrastructure to provide a simulation software installation and operation environment;
selecting a compiler to optimize the code level of the simulation software, and selecting a high-level instruction set to optimize the micro-architecture level of the simulation software;
performing secondary development on the compiled simulation software to realize different performance requirements of each sub-platform and perfect a platform computing engine;
and establishing a database of each sub-platform.
3. The method of building according to claim 2, wherein the specific operations of building the sub-platform in S1 are:
the first sexual principle computing platform is built, and the specific method is as follows:
configuring a computer server to have a first principle computing software installation environment;
installing and compiling first sexual principle calculation software VASP, and performing secondary development of the software;
corresponding to establishing a standardized model, inputting data parameters, and acquiring the relation between the types and the contents of alloy elements and the crystal parameters and the mechanical properties of the material;
the thermodynamic calculation platform is built, and the specific method is as follows:
configuring a server and a software installation basic environment;
installing and compiling thermodynamic calculation software, writing corresponding programs, and performing software secondary development;
simulating the change of phase components of a binary phase diagram and a ternary isothermal phase diagram of the material along with the temperature to obtain the influence of the types and the contents of alloy elements on the balance phase, the unbalance phase and the hardenability of the stainless steel material;
the molecular dynamics calculation platform is built, and the specific method is as follows:
configuring a server and a software installation basic environment;
installing compiling thermodynamic calculation software, and writing a development program by combining with a visualization tool to finish the development of a calculation engine;
establishing a multi-element physical model, completing the analysis of mechanical properties of the material, and obtaining mechanical parameters of elastic modulus, elongation and stress-strain curve;
the phase field computing platform is built, and the specific method is as follows:
configuring a server and a program compiling environment;
writing a phase field simulation program to finish the development of a computing engine;
obtaining the influence of the production and processing technology on the recrystallization process and the final grain shape, size and uniformity through simulation calculation;
the method for building the finite element computing platform comprises the following steps of:
configuring a server and a software installation basic environment;
installing and compiling thermodynamic calculation software to finish the development of a calculation engine;
by importing the output data, the stress-strain relation of the material in the elastic stage, the yield stage, the strengthening stage and the necking stage is obtained, and the detailed mechanical property is obtained.
4. The method of construction according to claim 1, characterized in that the specific operation of S3 is:
collecting and storing sub-platform data to establish a sub-platform operation database;
the sub-platform operation database comprises a first sexual principle calculation platform database, a thermodynamic calculation platform database, a molecular dynamics calculation platform database, a phase field calculation platform database and a finite element calculation platform database;
integrating the databases of the sub-platforms to build an integrated platform database,
the integrated platform database comprises a standard database, a knowledge information database and respective characteristic databases, and can perform functions of adding, deleting, modifying, calling, inquiring and searching data.
5. The method of construction according to claim 1, characterized in that the specific operation of S4 is:
establishing a data processing UI interface, a DAG UI interface, a resource job management UI interface, a model hosting UI interface, a user management UI interface and a result display UI interface through corresponding development software and a visual UI technology;
and improving the UI function setting, setting a UI left functional area, a canvas area and an attribute area, and combining the attribute area and the canvas area to form a calculation flow chart.
6. The method of claim 1, wherein the step S5 of storing the operation data by using a distributed storage technology based on Hadoop technology comprises the following specific operations:
independently placing data generated during operation of each sub-platform by utilizing a corresponding data storage device;
and by using the HDFS distributed storage system technology and adopting an extensible system structure, all the data storage devices are integrated in a centralized way to form a virtual storage device, so that the data storage of the whole operation platform is realized.
7. The method of building according to claim 1, wherein in S5, a data processing interface of the integration platform is built, so that the user can directly import data in the visual UI interface, and the specific operations are as follows:
configuring a corresponding environment, so that the data import support line uploads data and also supports integration and fusion of various heterogeneous data sources;
the data input work is carried out at the front end in a mode of uploading data locally or uploading a data source;
and (3) making a unified interface, and reading different heterogeneous data to integrate the data.
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