CN114115843A - Low code production method of index data and visualized data processing system thereof - Google Patents
Low code production method of index data and visualized data processing system thereof Download PDFInfo
- Publication number
- CN114115843A CN114115843A CN202111247471.9A CN202111247471A CN114115843A CN 114115843 A CN114115843 A CN 114115843A CN 202111247471 A CN202111247471 A CN 202111247471A CN 114115843 A CN114115843 A CN 114115843A
- Authority
- CN
- China
- Prior art keywords
- index
- service
- operator
- result
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/34—Graphical or visual programming
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/36—Preventing errors by testing or debugging software
- G06F11/3668—Software testing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/30—Creation or generation of source code
- G06F8/36—Software reuse
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/70—Software maintenance or management
- G06F8/71—Version control; Configuration management
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Quality & Reliability (AREA)
- Computer Security & Cryptography (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to the field of business data processing, in particular to a low-code production method of index data and a visualized data processing system thereof. The method comprises the following steps: s1, analyzing index metadata information, judging according to current business feature information, and extracting index feature information in the index metadata; s2, calling an operator for addition and maintenance, and combining the operator with index characteristic information to create and form an index data basic operator library; s3, calling an engineering service management module, selecting a proper index operator on a service construction page, configuring index parameters according to index characteristic information, and arranging and connecting input and output among the index operators; and S4, storing the running service and entering a test, returning parameter correction and re-executing the step S3 if the test result is not satisfied, and outputting an index result and issuing the index result in a service form if the test result is satisfied. The effect obtained by quickly checking different index parameters reduces the use difficulty and improves the configuration efficiency and accuracy.
Description
Technical Field
The invention relates to the field of business data processing, in particular to a low-code production method of index data and a visualized data processing system thereof.
Background
With the development of informatization, the data volume, the data types and the data storage types of various industries form a certain scale and form corresponding data specifications. The important problem is how to quickly extract important data concerned by various industries by the rich data so as to facilitate data analysts to quickly master the condition of the industry data information.
The combination of the service and the data forms a data index, the data index is the basis of data statistics and also becomes an important basis for quantifying the service effect, the data index has the characteristic of change along with the time, and how to quickly respond to the change of index calculation is an important requirement for ensuring the accuracy of data analysis.
The calculation of the data indexes is rigorous, the index algorithm is generally high in specialty, the understanding and mastering degrees of different business personnel on the index algorithm are inconsistent, through a unified industry index library, ordinary business personnel only need to set index parameters to apply a bottom-layer algorithm to obtain a calculation result, and the bottom-layer algorithm is maintained by experts or staff high in specialty, so that the ordinary business personnel can simply and quickly build professional authoritative index data.
At present, index processing of a large amount of data is based on a big data processing concept, a processed data identifier is provided with a field with an index calculation unique identifier through steps of conversion, cleaning, summarization and the like in a processing process, and index data are automatically generated based on a special identifier. In the big data processing technology, the faced technical complexity and the technical stack range are very wide, professional personnel are required to produce data each time the index data is generated, and timely response cannot be achieved by frequently processing the data in a continuously updated service scene.
In order to solve the problem of rapid and accurate generation of index data, to realize automatic production of the index data, a batch of index operator libraries are created firstly, metadata are associated through parameter configuration of index operators, automatic calculation based on the index operators is formed, and calculation results are responded in real time. In the whole process, the arrangement personnel only need to clear what calculation is done, what the calculation type is and the configuration of the data source, and professional and accurate index calculation result output can be finished.
The most similar case to the present case is the real-time data index calculation system scheme. The real-time data index calculation system is characterized in that fields used for calculating indexes are separately stored in a data table, and association relation information and association field information are recorded in the table. And then storing the data index calculated in real time through a memory database by using the read association relationship and the read association field, wherein the process of maintaining the index is the process of maintaining the association relationship information and the association field information. All indexes are configured according to the fields of the database, the output result of the index data is list data, and for data needing secondary processing, the data needs to be processed to generate a new data table, and then the new index associated information and the new field information are configured by adding the indexes, so that the method is not enough in the environment of quickly adding the indexes and using complex data to display.
The existing index data automatic generation method is based on the identification of adding or recording data fields to realize the automatic generation of index data, when the index data is newly increased, the method relates to the data processing, a lot of personnel and time are needed, the defects of low efficiency, large workload, high cost, long time, poor effect and the like are overcome, and the existing mode has single index output format and is difficult to adapt to various use environments.
Disclosure of Invention
The invention provides a low-code production method of index data and a visualized data processing system thereof, aiming at solving the problems of low efficiency, large workload, single output format and the like of the existing index data processing mode.
The invention provides a low code production method of index data, which comprises the following steps:
s1, calling and checking index metadata, analyzing index metadata information, judging according to current business feature information, and extracting index feature information in the index metadata;
s2, calling an operator to perform new addition and maintenance according to the index characteristic information, and combining the operator with the index characteristic information to create and form an index data basic operator library;
s3, calling an engineering service management module, selecting a proper index operator on a service construction page, configuring index parameters according to the index characteristic information obtained in the step S1, and arranging and connecting input and output among the index operators;
and S4, storing the running service and entering a test, returning parameter correction and re-executing the step S3 if the test result is not satisfied, and outputting an index result and issuing the index result in a service form if the test result is satisfied.
As a further improvement of the present invention, the specific steps of analyzing the index metadata information in step S1 are as follows:
s11, calling a metadata management system to check metadata information;
s12, acquiring the characteristic information of the industry indexes to be analyzed by a scheduler;
and S13, extracting and recording table information and field information required by the arrangement personnel in the metadata.
As a further improvement of the present invention, the step S2 specifically includes:
s21, calling an operator in the operator list management module for addition or maintenance;
s22, arranging a service construction page in a dragging mode, wherein the arranging process comprises operator input and output setting, database connection, data calculation and data format conversion;
and S23, storing the arrangement result to form an index basic operator library.
As a further improvement of the present invention, in step S2, the new addition and maintenance of the index operator in the index operator library includes the following form:
a1. generating a new index result by the newly added algorithm rule;
a2. performing combined calculation on the existing algorithm rules to obtain a new index result;
a3. and performing various conversion outputs on the index generation results, including re-fusing and calculating the generated results to obtain high-order index results.
As a further improvement of the present invention, the specific steps of configuring the index parameter according to the index characteristic information in step S3 are as follows:
s31, selecting an index operator in use in a visual operation area of a service construction page and opening an attribute item of the operator in an attribute editing area;
s32, filling or selecting parameter values corresponding to the index characteristic information in the attribute items of the attribute editing area according to requirements;
and S33, storing the parameter configuration result.
As a further improvement of the present invention, the arrangement manner of the indicator operator in step S3 includes:
and the index operator generates an index result according to the configured index parameters, the index result is directionally connected with other index operators through a connecting line in an operation area of the service construction page to form a flow direction, the next index operator receives the result of the previous index operator and obtains a new index result by combining the secondary calculation of the index parameter of the next index operator, and the flow is terminated and the final index calculation result is output after the connecting line is connected to the end node.
As a further improvement of the present invention, in step S4, when the index data format directly calculated by the index operator does not meet the requirement, the index result is corrected by introducing a script processing operator, and the script processing operator is connected to the main process through a connection line for processing.
The invention also provides a visualized data processing system, comprising:
a system management module: the system comprises user information management and authority distribution management, and is responsible for user login registration and user authority control;
a metadata management module: the data storage and calling module is responsible for storing and calling metadata;
operator list management module: the operator is called for adding and maintaining, and is combined with the index characteristic information to establish and form an index data basic operator library;
a visualization arrangement module: the directional connection between the operators responsible for arranging the connection indexes forms the flow direction;
the engineering service management module: the system is responsible for managing engineering information and service information, and performing new construction, editing, deleting, inquiring and simulation test on the engineering and the service;
the service operation management module: the system is responsible for managing the running state of the service, starting or stopping engineering service information singly or in batches, and deleting, inquiring and simulating the running service;
an approval management module: the system is in charge of carrying out approval on-line on the engineering service to be approved;
a log management module: the system is responsible for recording system operation, simultaneously prompts running service monitoring management, monitors service use conditions and assists in analyzing the service use conditions.
As a further improvement of the present invention, in the engineering service management module, the engineering information includes: project name, project description, port number, project type, service quantity, creator, operation time and operation; the service information includes: running state, service name, service description, service identifier, category label, theoretical basis, service type, creator, release time, operation.
The invention has the beneficial effects that: the method and the system can quickly check the effect obtained by different index parameters by optimizing the parameters, reduce the use difficulty and improve the configuration efficiency and accuracy. In the process of generating the complex indexes, a plurality of indexes can be fused through secondary calculation to obtain new index data, the output format of the index data can be customized and converted to adapt to various display requirements, and the complex indexes can be quickly approved and released, namely, online, so that real-time response is realized.
Drawings
FIG. 1 is a flow chart of index result generation of the index data low code production method of the present invention;
FIG. 2 is a block diagram of the foreground and background modules of the visual data processing system of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments.
The method comprises the steps of analyzing characteristic information of the service by means of a computer technology, a visual arrangement technology, a data stream processing technology and a big data processing technology to generate an index operator, connecting metadata of related service resources with the index operator to generate index data, managing in an engineering mode, and outputting the index data in a service form.
As shown in fig. 1, a low code automatic production method for index data automatic generation includes the following steps:
s1, calling and checking index metadata, analyzing index metadata information, judging according to current business feature information, and extracting index feature information in the index metadata;
s2, calling an operator to perform new addition and maintenance according to the index characteristic information, and combining the operator with the index characteristic information to create and form an index data basic operator library;
s3, calling an engineering service management module, selecting a proper index operator on a service construction page, configuring index parameters according to the index characteristic information obtained in the step S1, and arranging and connecting input and output among the index operators;
and S4, storing the running service and entering a test, returning parameter correction and re-executing the step S3 if the test result is not satisfied, and outputting an index result and issuing the index result in a service form if the test result is satisfied.
In the analysis of the index metadata information in step S1, to achieve the technical goal, the index metadata information is first analyzed, and the judgment is performed according to the current service feature information to clear up the index feature information required in the data.
The specific steps of index metadata information analysis are as follows:
s11, calling a metadata management system to check metadata information;
s12, acquiring the characteristic information of the industry indexes to be analyzed by a scheduler;
and S13, extracting and recording table information and field information required by the arrangement personnel in the metadata.
In step S2, the basic operator database of index data is maintained, and the key point of index data generation is to maintain the basic operator database of index data. The index operator is an abstract defined algorithm aiming at one index processing type and can be multiplexed for multiple times.
The specific steps of adding and maintaining the operator library are as follows:
s21, calling an operator list management module of the visual data processing system integrated by the customized algorithm to perform a new addition or maintenance function;
s22, arranging a constructed page in a dragging mode, wherein the arranging comprises the processes of input and output setting, database connection, data calculation, data format conversion and the like;
and S23, storing the arrangement result to form an index basic operator.
In step S2, the new addition and maintenance of the index operator in the index operator library includes the following form:
a1. generating a new index result by the newly added algorithm rule;
a2. performing combined calculation on the existing algorithm rules to obtain a new index result;
a3. and performing various conversion outputs on the index generation results, including re-fusing and calculating the generated results to obtain high-order index results.
The method generates indexes through an index operator library, the index operator is an abstract concept and is a general algorithm for generating one type of index data, and the process of adding the indexes can add new rules to produce new index results and can also calculate and obtain the latest index data based on the existing rule combination. Meanwhile, various conversion outputs can be carried out on the index generation result, and the result data can be fused and calculated again to obtain more complex indexes when needed. In the process of continuously improving the index operator library, the generation efficiency of the index is higher and higher, and the use cost is lower and lower along with the time.
The specific steps of configuring the index parameter according to the index characteristic information in step S3 are as follows:
s31, selecting an index operator in use in a visual operation area of a service construction page and opening an attribute item of the operator in an attribute editing area;
s32, filling or selecting parameter values corresponding to the index characteristic information in the attribute items of the attribute editing area according to requirements;
and S33, storing the parameter configuration result.
The arrangement manner of the index operator in step S3 includes:
in the arrangement process, each index operator is an independent calculation unit, the index operators generate index results according to configured index parameters, the index results are directionally connected with other index operators through connecting lines in an operation area of a service construction page to form a flow direction, the next index operator receives the result of the previous index operator and obtains a new index result by combining the secondary calculation of the index parameters of the next index operator, and the flow is terminated and the final index calculation result is output after the connecting lines are connected to the end nodes.
The method designs the calculation range by establishing an index operator library, arranging the configuration parameters and the visual flow, and continuously adjusting and optimizing by means of the calculation capacity of a computer system.
In step S4, when the index data format directly calculated by the index operator does not satisfy the requirement, the result can be corrected by introducing a script processing operator that supports codes in ECMAScript, Groovy, and Python languages, and the script processing operator is also used by processing according to the flow through a connection line.
The invention relates to a visual data processing system, and the low-code automatic production method for automatically generating index data is realized based on the system.
As shown in fig. 2, the system includes: the system comprises a system management module, a login module, an engineering service management module, an operator list management module, an approval management module, a service operation management module, a log management module and a visual arrangement module.
Wherein, the system management module: including user information management and rights assignment management. The system is in butt joint with a single sign-on module supported uniformly and is responsible for user login registration and user authority control. Providing guarantee capability for the system;
a metadata management module: the data storage and calling module is responsible for storing and calling metadata;
operator list management module: the operator is called for adding and maintaining, and is combined with the index characteristic information to establish and form an index data basic operator library;
a visualization arrangement module: the directional connection between the operators responsible for arranging the connection indexes forms the flow direction;
the engineering service management module: is responsible for managing engineering service information, the engineering information includes: project name, project description, port number, project type, number of services, creator, operation time, operation. The service information includes: running state, service name, service description, service identifier, category label, theoretical basis, service type, creator, release time, operation. The engineering and the service can be newly built, edited, deleted, inquired and simulated tested;
the service operation management module: the system is responsible for managing the running state of the service, can start or stop engineering service information singly or in batches, and can delete, inquire and simulate the running service;
an approval management module: and the system is responsible for carrying out approval on-line on the engineering service to be approved. Examining and approving the submitted and issued service, wherein the service can be officially issued and on-line only after passing the examination and approval;
a log management module: the system is responsible for recording system operation, provides traceability tracing for the system, and ensures that problems encountered by the system can be well-documented and can be quickly solved. And simultaneously, the running service monitoring management is prompted, the service use condition is monitored, and the service use condition is analyzed in an auxiliary manner.
The invention continuously adjusts the parameters to adjust the integrity of the index data in a visual arrangement mode, improves the reliability of the data, reduces the cost of manually analyzing the data, can quickly respond to the latest service condition along with the updating of the data to automatically update and output, simultaneously provides data conversion processing to carry out secondary fusion calculation on the response result, and carries out secondary analysis on the result so as to adapt to more complex data display environment.
The invention has the following characteristics:
(1) by maintaining the index operator library, the service index data can be produced by visually adjusting the parameters, and a calculation formula and code logic do not need to be considered in the process, so that the error probability is low. By maintaining and expanding the operator library, the method can be suitable for continuous and complex service requirements, achieves quick response and reduces the application difficulty;
(2) the result of the index output can be corrected through a simple code, so that the method can adapt to various complex application scenes and meet various display requirements;
(3) the test and debugging can be carried out in real time, the effect of index generation can be visually seen, and the result reliability is higher through the optimization and adjustment of parameters;
(4) the engineering service can be stored and released immediately, and the release and online operation are performed immediately, so that secondary errors of the index data in the development and deployment process are avoided.
The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (9)
1. A low code production method of index data is characterized by comprising the following steps:
s1, calling and checking index metadata, analyzing index metadata information, judging according to current business feature information, and extracting index feature information in the index metadata;
s2, calling an operator to perform new addition and maintenance according to the index characteristic information, and combining the operator with the index characteristic information to create and form an index data basic operator library;
s3, calling an engineering service management module, selecting a proper index operator on a service construction page, configuring index parameters according to the index characteristic information obtained in the step S1, and arranging and connecting input and output among the index operators;
and S4, storing the running service and entering a test, returning parameter correction and re-executing the step S3 if the test result is not satisfied, and outputting an index result and issuing the index result in a service form if the test result is satisfied.
2. The low-code production method of index data according to claim 1, wherein the specific steps of index metadata information analysis in step S1 are:
s11, calling a metadata management system to check metadata information;
s12, acquiring the characteristic information of the industry indexes to be analyzed by a scheduler;
and S13, extracting and recording table information and field information required by the arrangement personnel in the metadata.
3. The method for producing low-code index data according to claim 1, wherein the step S2 specifically includes:
s21, calling an operator in the operator list management module for addition or maintenance;
s22, arranging a service construction page in a dragging mode, wherein the arranging process comprises operator input and output setting, database connection, data calculation and data format conversion;
and S23, storing the arrangement result to form an index basic operator library.
4. The method for low-code production of index data according to claim 1, wherein the new addition and maintenance of the index operator in the index operator library in step S2 includes the following forms:
a1. generating a new index result by the newly added algorithm rule;
a2. performing combined calculation on the existing algorithm rules to obtain a new index result;
a3. and performing various conversion outputs on the index generation results, including re-fusing and calculating the generated results to obtain high-order index results.
5. The method for producing low-code index data according to claim 1, wherein the step S3 of configuring the index parameter according to the index characteristic information includes the specific steps of:
s31, selecting an index operator in use in a visual operation area of a service construction page and opening an attribute item of the operator in an attribute editing area;
s32, filling or selecting parameter values corresponding to the index characteristic information in the attribute items of the attribute editing area according to requirements;
and S33, storing the parameter configuration result.
6. The method for low-code production of index data according to claim 1, wherein the arrangement of the index operators in step S3 includes:
and the index operator generates an index result according to the configured index parameters, the index result is directionally connected with other index operators through a connecting line in an operation area of the service construction page to form a flow direction, the next index operator receives the result of the previous index operator and obtains a new index result by combining the secondary calculation of the index parameter of the next index operator, and the flow is terminated and the final index calculation result is output after the connecting line is connected to the end node.
7. A low-code production method of index data according to claim 1, wherein in step S4, when the index data format directly calculated by the index operator does not satisfy the requirement, the index result is corrected by introducing a script processing operator, and the script processing operator is connected to the main process through a connection line for processing.
8. A visual data processing system, comprising
A system management module: the system comprises user information management and authority distribution management, and is responsible for user login registration and user authority control;
a metadata management module: the data storage and calling module is responsible for storing and calling metadata;
operator list management module: the operator is called for adding and maintaining, and is combined with the index characteristic information to establish and form an index data basic operator library;
a visualization arrangement module: the directional connection between the operators responsible for arranging the connection indexes forms the flow direction;
the engineering service management module: the system is responsible for managing engineering information and service information, and performing new construction, editing, deleting, inquiring and simulation test on the engineering and the service;
the service operation management module: the system is responsible for managing the running state of the service, starting or stopping engineering service information singly or in batches, and deleting, inquiring and simulating the running service;
an approval management module: the system is in charge of carrying out approval on-line on the engineering service to be approved;
a log management module: the system is responsible for recording system operation, simultaneously prompts running service monitoring management, monitors service use conditions and assists in analyzing the service use conditions.
9. A visual data processing system according to claim 8, wherein in said engineering services management module, engineering information includes: project name, project description, port number, project type, service quantity, creator, operation time and operation; the service information includes: running state, service name, service description, service identifier, category label, theoretical basis, service type, creator, release time, operation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111247471.9A CN114115843A (en) | 2021-10-26 | 2021-10-26 | Low code production method of index data and visualized data processing system thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111247471.9A CN114115843A (en) | 2021-10-26 | 2021-10-26 | Low code production method of index data and visualized data processing system thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114115843A true CN114115843A (en) | 2022-03-01 |
Family
ID=80376737
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111247471.9A Pending CN114115843A (en) | 2021-10-26 | 2021-10-26 | Low code production method of index data and visualized data processing system thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114115843A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115545401A (en) * | 2022-08-26 | 2022-12-30 | 广州市规划和自然资源自动化中心(广州市基础地理信息中心) | City physical examination evaluation method and system based on visual index model configuration and computer equipment |
-
2021
- 2021-10-26 CN CN202111247471.9A patent/CN114115843A/en active Pending
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115545401A (en) * | 2022-08-26 | 2022-12-30 | 广州市规划和自然资源自动化中心(广州市基础地理信息中心) | City physical examination evaluation method and system based on visual index model configuration and computer equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107844424B (en) | Model-based testing system and method | |
| CN112799321B (en) | DBC file rapid creating method following CAN bus communication protocol | |
| CN115934680B (en) | One-stop big data analysis processing system | |
| WO2021068692A1 (en) | Method, apparatus and device for workflow migration, and computer-readable storage medium | |
| WO2021228118A1 (en) | Central air conditioner intelligent design method, system and device | |
| CN114115843A (en) | Low code production method of index data and visualized data processing system thereof | |
| CN115169011A (en) | Editing system and application system of airplane assembly outline | |
| CN111190814A (en) | Software test case generation method and device, storage medium and terminal | |
| CN108959391B (en) | Apparatus, system, method, and storage medium for presenting database cluster architecture diagram | |
| CN113157551B (en) | ROS-oriented differential fuzzy test method | |
| CN111767205A (en) | Online detection method and system supporting task splitting | |
| US8051048B2 (en) | System and method for automated transfer and evaluation of the quality of mass data of a technical process or a technical project | |
| CN114911773B (en) | Universal meta-model design method | |
| CN110570646A (en) | Four-remote signal acceptance method and system based on historical data | |
| CN115587720A (en) | Configuration management system | |
| CN113609698A (en) | Process reliability analysis method and system based on process fault database | |
| CN113887754A (en) | Construction method and system of power distribution terminal unified operation and maintenance platform and constructed platform | |
| KR930010286B1 (en) | Maintenace system in electronic exchange | |
| CN112416367A (en) | Application resource change influence analysis system based on software reverse disassembly and analysis | |
| CN112346966A (en) | Automatic analysis method for test data of special controller | |
| CN112764396B (en) | Configuration method and device | |
| CN113065256B (en) | Calibration method of ICD (interface control document) model of intelligent device of transformer substation based on rule file | |
| US11042536B1 (en) | Systems and methods for automated data visualization | |
| CN117609158A (en) | Rapid generation system and generation method for final assembly PFMEA file | |
| CN115828524A (en) | Unified management method, system, equipment and medium for power market basic model |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |