CN115796759A - Intelligent operation and maintenance statistical analysis system suitable for being based on data driving - Google Patents
Intelligent operation and maintenance statistical analysis system suitable for being based on data driving Download PDFInfo
- Publication number
- CN115796759A CN115796759A CN202211299890.1A CN202211299890A CN115796759A CN 115796759 A CN115796759 A CN 115796759A CN 202211299890 A CN202211299890 A CN 202211299890A CN 115796759 A CN115796759 A CN 115796759A
- Authority
- CN
- China
- Prior art keywords
- report
- data
- database
- authority
- person
- 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
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses an intelligent operation and maintenance statistical analysis system suitable for being based on data driving, which comprises a report design module, a report service module, a report platform database module and a report service module, wherein the report design module is used for carrying out format and field design of a visual report, the report service module is used for carrying out authority management of submitting and checking the report after submitting content organization for the report design module, the report platform database module is used for carrying out data classified storage for the report service module, the report design module, the report service module and the report platform database module are connected in parallel for processing, and external data enters from the report service module. The intelligent operation and maintenance statistical analysis system based on data driving can effectively reduce the workload of operators and the number of required workers, and by taking Carling river company as an example, the cost can be reduced by 29.3 ten thousand yuan each year, so that the industrial intelligentization level can be increased, and the condition of healthy production of power station equipment is provided.
Description
Technical Field
The invention belongs to the technical field of intelligent operation and maintenance statistics, and particularly relates to an intelligent operation and maintenance statistical analysis system based on data driving.
Background
With the continuous improvement of the refining, lean and standardized requirements of the production, operation and maintenance work of the power plant, production personnel always face a large amount of basic data calculation analysis and report, most reports are filled in a manual timing and fixed-point manual calculation mode, the copying accuracy, timeliness and data calculation accuracy of data of the filling personnel are high in requirements, and the accuracy of reported data cannot be guaranteed.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above and/or other problems occurring in the prior art that are applicable to an intelligent operation and maintenance statistical analysis system based on data driving.
Therefore, the problem to be solved by the present invention is how to provide an intelligent operation and maintenance statistical analysis system suitable for data-driven.
In order to solve the technical problems, the invention provides the following technical scheme: an intelligent operation and maintenance statistical analysis system suitable for being driven based on data comprises,
the report design module is used for designing the format and the field of the visual report;
the report service module is used for carrying out authority management on the submission and report examination after the submission of the content organization of the report design module;
the report platform database module is used for storing the data of the report service module in a classified manner;
the report design module, the report service module and the report platform database module are connected in parallel for processing, and external data enters from the report service module.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the report design module is directly integrated into the system to visually design the fields and the styles of the report and query the rules.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the report service module uses a field report data model to intelligently analyze and selectively collect the incoming data in real time;
and the selective collection is to provide a corresponding data report template after the intelligent analysis of the data type and the content so that the data can be correspondingly input.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the data model comprises a to-be-researched production report, a water regulation report, an electric quantity report, an operation log report and an auxiliary machine report, and the data collection of the operation equipment is required by the reports.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the report platform database module comprises:
a standard report database, a storage position for storing a set standardized report;
self-defining a report database, wherein personnel can design a report storage position according to the management requirements of relevant units and the actual operation and maintenance work requirements;
and the second speed database can provide an optimized query function.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the second-speed database aggregates historical data through pre-reducing precision, so that storage space is saved for processing, and network overhead is reduced; data is written into a memory first, and then the data is periodically converted into an immutable file to be stored so as to solve the storage problem.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the report platform database module has a report forwarding mechanism, and allows the generated report or a part of tables thereof to be forwarded outwards in formats such as text, webpage, excel file and the like.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: data in the report platform database module is extracted and divided into five categories, namely a first category P1, a second category P2, a third category P3, a fourth category P4 and a fifth category P5, wherein the first category P1 comprises a standard report database, the second category P2 comprises a standard report database and a self-defined report database, the third category P3 comprises the standard report database and a second speed report database, the fourth category P4 comprises the self-defined report database and the second speed report database, and the fifth category P5 comprises the standard report database, the self-defined report database and the second speed report database;
when the classification is carried out, the following judging steps are adopted:
firstly, comparing and extracting the relation between the person authority and the database authority requirement;
predicting the authority T 'of the person to be extracted, and the relation between the authority T' of the person to be extracted and the expected authority T of the person to be extracted;
thirdly, dividing the predicted result T into a first type of person extraction permission T1, a second type of person extraction permission T2, a third type of person extraction permission T3, a fourth type of person extraction permission T4 and a fifth type of person extraction permission T5;
wherein the first level extraction person authority T1 is more than the second level extraction person authority T2 is more than the third level extraction person authority T3 is more than the fourth level extraction person authority T4 is more than the fifth level extraction person authority T5;
and fourthly, judging the relation between the current state of the extracted person authority and the extracted person authority T of each level.
When the authority of the person to be extracted is T5, triggering a fifth-level condition P5 to extract data of a standard report database self-defined report database and a second-speed database;
when the authority of the person to be extracted is T4, triggering a fourth level condition P4 to extract data of a custom report database and a second-speed database;
when the authority of the person to be extracted is T3, triggering a third level of condition P3 to extract data of the standard report database and the second-speed report database;
when the authority of the person to be extracted is T2, triggering a second level condition P2 to extract data of a standard report database and a custom report database;
and when the authority of the person to be extracted is T1, triggering the first-level condition P1 to extract the data of the standard report database.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the plan task management of the second-speed database allows the system to automatically execute tasks of generating reports and forwarding files according to a plan customized by a user.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the database block of the report platform does not provide the actual business data of the report and extracts the data from the table with converted data.
The invention has the advantages that firstly, the workload of operators and the number of required workers can be effectively reduced by the intelligent operation and maintenance statistical analysis system based on data drive, the cost of 29.3 ten thousand yuan can be reduced every year by taking the Jialing river company as an example, secondly, the workload of production personnel can be reduced, the happiness index of production personnel is improved, and finally, the industrial intelligence level can be increased, and the condition of healthy production of power station equipment is provided.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a working structure diagram of an intelligent operation and maintenance statistical analysis system based on data driving in embodiment 1.
Fig. 2 is a flowchart of the intelligent operation and maintenance statistical analysis system based on data driving in embodiment 1.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
Example 1
Referring to fig. 1 and 2, a first embodiment of the present invention provides an intelligent operation and maintenance statistical analysis system suitable for data-driven based, including:
the report design module 100 is used for designing the format and the field of the visual report;
the report service module 200 is used for performing authority management on the submission and report examination after the report design module 100 submits content organization;
the report platform database module 300 is used for storing the data of the report service module 200 in a classified mode;
the report design module 100, the report service module 200 and the report platform database module 300 are processed in parallel, external data enters from the report service module 200, and the process is as shown in fig. 1.
A report designer: the report designer based on the open source business intelligent project JimuReport can be directly integrated into a system, and can be used for visually designing the fields and the styles of reports and inquiring rules.
The report server: the report server application of the J2EE + Web2.0 technology can release the designed report to the report server, organize the mechanism and manage the authority of the report, and different mechanisms only need to care about the report of the mechanism, can provide online inquiry and preview reports, manually export and download the reports in real time, and provide a daily batch report exporting task.
Report platform database: support for storage is provided to the report server itself, including user permissions, organizations, and report definitions.
Note that: the report platform database does not provide the actual service data of the report, and the data for generating the report is directly connected with the database of the core system and extracted from the table with converted data.
As a preferred solution of the present invention, the system is suitable for an intelligent operation and maintenance statistical analysis system based on data driving, wherein: the report design module 100 is directly integrated into the system to visually design the fields and styles of the report and query the rules.
The reporting service module 200 uses a field reporting data model to intelligently analyze and selectively collect incoming data in real-time;
and the selective collection is to provide a corresponding data report template after the intelligent analysis of the data type and the content so that the data can be correspondingly input.
The data model comprises a production report to be researched, a water regulation report, an electric quantity report, an operation log report and an auxiliary machine report, and the reports need to collect data of the operation equipment.
The invention is about to research a production report, a water regulation report, an electric quantity report, an operation log report and an auxiliary machine report. The report forms need to collect data of running equipment, and meanwhile, the development work of the running report forms needs to be completed by combining specialized knowledge and experience of operation and maintenance personnel, and fig. 1 is a work structure diagram of the invention.
The reporting platform database module 300 includes:
a standard report database, a storage position for storing a set standardized report;
self-defining a report database, wherein personnel can design a report storage position according to the management requirements of relevant units and the actual operation and maintenance work requirements;
and the second speed database can provide an optimized query function.
And establishing a second speed database, and applying the second speed database to the acquisition and application of thousands of data of two stations. And establishing a mass database, applying to the storage of second-level data of two stations, and providing data support for a subsequent data analysis model. In an online scene, the storage cost, high concurrent writing, low query delay and high query concurrency exist, so that the database can reasonably select a coding compression algorithm by utilizing the characteristics of time increment, dimension repetition and index smooth change, and the data compression ratio is improved; through pre-reducing the precision, the historical data are aggregated, and the storage space is saved for processing. By reducing network overhead; data is written into a memory firstly, and then the periodic dump is an invariable file storage to deal with the storage problem. The query delay is reduced by optimizing a common query mode and by the technologies such as indexing and the like; the query concurrency is improved through technologies such as caching and routing.
The report platform database module 300 has a report forwarding mechanism, which allows the generated report or a part of the table thereof to be forwarded in a format of text, web page, excel file, etc.
The invention is not only an application software for automatically generating reports, but also an integrated management system of the report business of the whole power plant enterprise, and establishes a template library and a report library, wherein the templates and the reports are stored in a centralized way and are shared globally; a flexible authority management scheme is designed; the report forwarding mechanism allows the generated report (or part of the Sheet) to be forwarded outwards in the formats of text, webpage, excel file and the like; the plan task management allows the system to automatically execute tasks such as generating reports, forwarding files and the like according to a plan customized by a user; the system state management can easily complete the backup, recovery, transplantation and other works of the system, and the loss caused by system failure is reduced.
Data in the report platform database module 300 are extracted and divided into five categories, namely a first category P1, a second category P2, a third category P3, a fourth category P4 and a fifth category P5, wherein the first category P1 comprises a standard report database, the second category P2 comprises a standard report database and a self-defined report database, the third category P3 comprises the standard report database and a second speed report database, the fourth category P4 comprises the self-defined report database and the second speed report database, and the fifth category P5 comprises the standard report database, the self-defined report database and the second speed report database;
the data extraction categories are classified according to the authority of an extractor, and the authority is in the sequence of P5> P4> P3> P2> P1.
When the classification is carried out, the following judgment steps are adopted:
firstly, comparing and extracting the relation between the person authority and the database authority requirement;
predicting an extractor authority T ', and predicting the relation between the extractor authority T' and the predicted extractor authority T;
thirdly, dividing the predicted result T into a first type of person extraction permission T1, a second type of person extraction permission T2, a third type of person extraction permission T3, a fourth type of person extraction permission T4 and a fifth type of person extraction permission T5;
wherein the first level extraction person authority T1 is more than the second level extraction person authority T2 is more than the third level extraction person authority T3 is more than the fourth level extraction person authority T4 is more than the fifth level extraction person authority T5;
and fourthly, judging the relation between the current state of the extracted person authority and the extracted person authority T of each level.
When the authority of the person to be extracted is T5, triggering a fifth-level condition P5 to extract data of a standard report database self-defined report database and a second-speed database;
when the authority of the person to be extracted is T4, triggering a fourth level condition P4 to extract data of a custom report database and a second-speed database;
when the authority of the person to be extracted is T3, triggering a third level of condition P3 to extract data of the standard report database and the second-speed report database;
when the authority of the person to be extracted is T2, triggering a second level condition P2 to extract data of a standard report database and a custom report database;
and when the authority of the person to be extracted is T1, triggering the first-level condition P1 to extract the data of the standard report database.
Example 2
The second embodiment of the present invention, which is different from the first embodiment, further includes:
the value of the centralized control center of Jialing river company is only 2 people, the gate is required to be opened and closed remotely in the flood season, related reports are required to be filled in during night shifts, the filling is started in the morning generally, the filling time is about 2-3 hours each time, and the working intensity of operators on duty is very high. The operation time of two power station auxiliary equipment belonging to the company of Jialing river has been long, faults frequently occur in the near future, and auxiliary equipment performance statistics needs to be made in order to better monitor the operation state of the auxiliary equipment more visually; in addition, after the switch-on of the electric station is carried out, the working strength of auxiliary equipment is increased, and if the equipment is damaged, non-stop can be caused, so that provincial dispatching examination can be caused. Therefore, the requirement for constructing an intelligent operation and maintenance analysis system is very urgent, and therefore, an intelligent operation and maintenance statistical analysis system based on data driving is adopted.
The project is intended to complete a set of standard report libraries, which include: establishing 20 standard report libraries related to the water consumption rate of the two-station production report, the water transfer-year report, the water transfer-provincial and lunar reports, the operation-monthly water regime report, the operation-green station library capacity flow report and the operation-east-west gateway. And a report template selection library is reserved, and the operation and maintenance personnel of the power station can self-define the format of the non-standard report according to the management requirements of relevant units and the requirements of actual operation and maintenance work. The project is intended to research production reports, water regulation reports, electric quantity reports, running log reports, auxiliary machine reports and the like. The report forms need to collect data of running equipment, and meanwhile, the development work of the running report forms needs to be completed by combining specialized knowledge and experience of operation and maintenance personnel.
The average time for operating personnel to process the report in the morning of each day reaches more than 2 hours, centralized control personnel of the Carling river company are fewer, and the report to be filled easily influences the efficient development of the monitoring operation. If the investment of the reporting system is estimated according to the wage of 200 yuan per hour of a single person, the Jialing river company can save at least 29.2 ten thousand yuan of labor cost every year,
wherein the calculation is 200 x 2 h 2 man 365 day =292000,
therefore, the investment of the report system can recover the cost within two years, the cost is calculated only according to the wages of the personnel, and the loss of the electric quantity caused by provincial and dispatching assessment is not included.
Through the performance statistics of the auxiliary machine, the running time interval and the running time of the auxiliary machine under each working condition of the unit can be visually known, especially, the AGC is required to be put into operation in province of this year, the number of times of obviously starting and stopping the auxiliary machine equipment is increased, the auxiliary machine equipment needs to be deeply monitored, the stable running of each pump is ensured, problems are found in time, and the problem that the unit is not stopped and province-dispatched and examined after the AGC is put into operation is avoided.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. Data-driven intelligent operation and maintenance statistical analysis system is characterized by comprising:
the report design module (100) is used for designing the format and the field of the visual report;
the report service module (200) is used for carrying out authority management on the submission and report examination after the submission of the content organization of the report design module;
the report platform database module (300) is used for storing the data of the report service module in a classified mode;
the report design module (100), the report service module (200) and the report platform database module (300) are connected in parallel for processing, and external data enter from the report service module (200).
2. The intelligent operation and maintenance statistical analysis system based on data driving as claimed in claim 1, wherein: the report design module (100) is directly integrated into the system to visually design the fields and the styles of the report and inquire the rules.
3. The intelligent operation and maintenance statistical analysis system suitable for being driven based on data as claimed in claim 1 or 2, wherein: the report service module (200) uses a field report data model to intelligently analyze and selectively collect the incoming data in real time;
and the selective collection is to provide a corresponding data report template after the intelligent analysis of the data type and the content so that the data can be correspondingly input.
4. The intelligent operation and maintenance statistical analysis system suitable for being driven based on data as claimed in claim 3, wherein: the data model comprises a to-be-researched production report, a water regulation report, an electric quantity report, an operation log report and an auxiliary machine report, and the data collection of the operation equipment is required by the reports.
5. The intelligent operation and maintenance statistical analysis system suitable for being based on data driving as claimed in any one of claims 1, 2 and 4, characterized in that said report platform database module (300) comprises:
a standard report database, a storage position for storing a set standardized report;
self-defining a report database, wherein personnel can design a report storage position according to the management requirements of relevant units and the actual operation and maintenance work requirements;
and the second speed database can provide an optimized query function.
6. The intelligent operation and maintenance statistical analysis system suitable for being driven based on data as claimed in claim 5, wherein: the second-speed database aggregates historical data through pre-reduction of precision, so that storage space is saved for processing, and network overhead is reduced; data is written into a memory first, and then the data is periodically converted into an immutable file to be stored so as to solve the storage problem.
7. The intelligent operation and maintenance statistical analysis system suitable for being driven based on data as claimed in claim 6, wherein: the report platform database module (300) has a report forwarding mechanism, and allows the generated report or a part of the report to be forwarded outwards in the formats of text, web pages, excel files and the like.
8. The intelligent operation and maintenance statistical analysis system suitable for being driven based on data as claimed in claim 6 or 7, wherein: the data extraction in the report platform database module (300) is divided into five categories, namely a first category P1, a second category P2, a third category P3, a fourth category P4 and a fifth category P5, wherein the first category P1 comprises a standard report database, the second category P2 comprises a standard report database and a self-defined report database, the third category P3 comprises a standard report database and a second speed report database, the fourth category P4 comprises a self-defined report database and a second speed report database, and the fifth category P5 comprises a standard report database self-defined report database and a second speed report database;
when the classification is carried out, the following judgment steps are adopted:
firstly, comparing and extracting the relation between the person authority and the database authority requirement;
predicting an extractor authority T ', and predicting the relation between the extractor authority T' and the predicted extractor authority T;
thirdly, dividing the predicted result T into a first type of person extraction permission T1, a second type of person extraction permission T2, a third type of person extraction permission T3, a fourth type of person extraction permission T4 and a fifth type of person extraction permission T5;
wherein the first level extraction person authority T1 is more than the second level extraction person authority T2 is more than the third level extraction person authority T3 is more than the fourth level extraction person authority T4 is more than the fifth level extraction person authority T5;
and fourthly, judging the relation between the current state of the extracted person authority and the extracted person authority T of each level.
When the authority of the person to be extracted is T5, triggering a fifth-level condition P5 to extract data of a standard report database self-defined report database and a second-speed database;
when the authority of the person to be extracted is T4, triggering a fourth level condition P4 to extract data of a custom report database and a second-speed database;
when the authority of the person to be extracted is T3, triggering a third level of condition P3 to extract data of the standard report database and the second-speed report database;
when the authority of the person to be extracted is T2, triggering a second level condition P2 to extract data of a standard report database and a custom report database;
and when the authority of the person to be extracted is T1, triggering the first-level condition P1 to extract the data of the standard report database.
9. The intelligent operation and maintenance statistical analysis system suitable for being driven based on data as claimed in claim 8, wherein: the plan task management of the second-speed database allows the system to automatically execute tasks of generating reports and forwarding files according to a plan customized by a user.
10. The intelligent operation and maintenance statistical analysis system suitable for being driven based on data as claimed in any one of claims 1, 2, 4, 6, 7 and 9, characterized in that: the report platform database block (300) does not provide the actual business data of the report, and extracts the data from the converted data table.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211299890.1A CN115796759A (en) | 2022-10-24 | 2022-10-24 | Intelligent operation and maintenance statistical analysis system suitable for being based on data driving |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211299890.1A CN115796759A (en) | 2022-10-24 | 2022-10-24 | Intelligent operation and maintenance statistical analysis system suitable for being based on data driving |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115796759A true CN115796759A (en) | 2023-03-14 |
Family
ID=85433502
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211299890.1A Pending CN115796759A (en) | 2022-10-24 | 2022-10-24 | Intelligent operation and maintenance statistical analysis system suitable for being based on data driving |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115796759A (en) |
-
2022
- 2022-10-24 CN CN202211299890.1A patent/CN115796759A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113179173B (en) | Operation and maintenance monitoring system for expressway system | |
| CN111476390A (en) | Wisdom energy supervision service system | |
| CN108898248B (en) | Power load influence factor quantitative analysis method, device, equipment and medium | |
| CN113642299A (en) | One-key generation method based on power grid statistical form | |
| CN105335822A (en) | Smart power grid unified data model modeling method for big data analysis | |
| WO2023020194A1 (en) | Energy data anomaly cause analysis method based on random forest and support vector machine | |
| CN108230183A (en) | A kind of processing method of the grid equipment various dimensions comprehensive warning based on time scale measurement | |
| CN103020023A (en) | Automatic storing and reading method for electronic document data of technical supervision system in electric power industry | |
| CN115796759A (en) | Intelligent operation and maintenance statistical analysis system suitable for being based on data driving | |
| CN114389231B (en) | Load prediction diagnosis method based on power distribution network protection and equipment real-time data | |
| CN113032651A (en) | Dispatching operation data automatic acquisition and submission management system | |
| Li et al. | Research on Grid Basic Data Synchronization Method for Electricity IoT Cloud Platform | |
| CN202795451U (en) | Asset entire life-cycle management process control application system based on topic base | |
| CN111915048A (en) | Novel power failure management method based on intelligent analysis decision theory technology | |
| CN114218216A (en) | Resource management method, device, equipment and storage medium | |
| CN111861790A (en) | Electric power full-service data management system | |
| Xiong et al. | Embodied energy of parts in sheet metal forming: modeling and application for energy saving in the workshop | |
| Tian | Research on big data platform of power grid enterprise accounting business based on cloud computing analysis | |
| CN115660606A (en) | Intelligent microgrid planning design management system | |
| CN115511461A (en) | Full-automatic data analysis and visualization platform for production business process management | |
| Zheng et al. | Research on Text Classification Method of Distribution Network Terminal Debugging Job Based on Hierarchical Comprehensive Context | |
| Li | Design and Implementation of Logistics Public Information System for SMEs | |
| Sang et al. | Research on Design Model of Enterprise Safety Risk Monitoring System Based on Information Technology | |
| Yan et al. | Energy Efficiency Analysis and the Design of Risk Early Warning System | |
| Xiaowei et al. | Technique Support System Design of Electric Dispatching Automation Based on Big Data Technology |
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 |