CN114519494A - Intelligent regulation and control system and method for distribution network uninterrupted operation - Google Patents
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Abstract
The application discloses an intelligent regulation and control system and method for distribution network uninterrupted operation, mainly relates to the technical field of intelligent regulation, and aims to solve the technical problem that an existing distribution network regulation and control scheme excessively depends on artificial intervention and is prone to errors. The method comprises the following steps: the state acquisition module is used for acquiring meteorological information, operation task information, a preset personnel database and a preset tool database; the operation distribution module is used for determining operation link information corresponding to the operation task information; determining a job schedule corresponding to the job task information; generating a job distribution table; the job updating module is used for updating the job distribution table; generating a job newly-added task and a job canceling task; the operation issuing module is used for issuing the operation tasks to the operation terminals corresponding to the personnel numbers; and issuing a revocation task to the operation terminal corresponding to the personnel number. This application has realized furthest's the intelligent management of realization personnel and instrument through above-mentioned scheme, has promoted the operating efficiency.
Description
Technical Field
The application relates to the technical field of intelligent regulation, in particular to an intelligent regulation and control system and method for distribution network uninterrupted operation.
Background
At present, the electric power industry widely uses distribution network uninterrupted operation tools to carry out live-wire operation and operation. The common project of the distribution network uninterrupted operation is relatively fixed and standardized. In addition, tools related to common projects of distribution network uninterrupted operation are relatively fixed and standardized. However, maintenance personnel and the types and the number of required tools are different for each operation. In actual attendance, a plurality of work items are often involved, and therefore, when a maintenance person and a tool are dispatched, the maintenance person and the type and number of tools required need to be checked repeatedly to avoid omission. Therefore, the current distribution network uninterrupted operation specialized management mainly starts from the aspects of personnel, tools, operation projects and the like.
Therefore, an intelligent regulation and control system and method for distribution network uninterrupted power operation are needed to solve the technical problems that personnel and tool allocation are mainly performed by relying on special manpower resources, professional management personnel are involved, and errors are easy to occur in management in distribution network uninterrupted power operation.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an intelligent regulation and control system and method for distribution network uninterrupted operation, so as to solve the technical problems.
In a first aspect, an embodiment of the present application provides an intelligent control system for distribution network uninterrupted operation, and the system includes: the state acquisition module is used for acquiring meteorological information, operation task information, a preset personnel database and a preset tool database; the job task information comprises a task level and job information; the operation distribution module is used for determining operation link information corresponding to the operation task information according to the operation information; determining an operation time table corresponding to the operation task information based on operation links, operation types and weather limitations in the operation link information; generating an operation distribution table based on the task level, a preset personnel database, a preset tool database, the operation type and an operation time table; wherein, the operation distribution table comprises the corresponding relation among the personnel number, the tool number and the preset operation time period; the operation updating module is used for receiving the adjustment information uploaded by the operation terminal so as to update the operation distribution table according to the adjustment information; when detecting that the job distribution table has changed data, generating a job adding task and a job canceling task; the operation issuing module is used for issuing the operation tasks to the operation terminals corresponding to the personnel numbers according to the personnel numbers in the operation distribution table and the personnel numbers corresponding to the operation newly added tasks; issuing the revocation task to an operation terminal corresponding to the personnel number according to the personnel number corresponding to the operation revocation task; the job task and the revocation task both comprise a personnel number, a tool number and a preset job time period.
Further, the system also comprises a data storage module; the data storage module is used for storing a preset personnel database and a preset tool database; the preset personnel database at least comprises personnel numbers, operation efficiency, rest information and training information; the preset tool database at least comprises tool numbers and wear information.
Further, the job distribution module comprises a job analysis unit, a duration determination unit, a time generation unit, a job distribution unit and a job generation unit; the operation analysis unit is used for determining a plurality of operation links corresponding to the operation information based on the semantic segmentation algorithm and the operation information; obtaining semantic keywords corresponding to each operation link and an execution sequence among the semantic keywords through a voice correlation algorithm; determining the operation type and weather limitation corresponding to the operation link according to the semantic keyword and a preset keyword-link database; the duration determining unit is used for determining an operation duration range corresponding to each operation link according to the operation-duration database; further determining the operation duration based on the task level; wherein the task grade is divided into a red grade, a yellow grade and a green grade; when the task level is divided into a red level, determining the minimum value in the operation duration range as the operation duration; when the task level is divided into a yellow level, determining a middle value in the operation duration range as the operation duration; when the task level is divided into green levels, determining the maximum value in the operation duration range as the operation duration; the time generation unit is used for generating an operation time table according to the meteorological information and the operation duration; wherein, the operation time table comprises an operation link, link weather limitation and link operation time period; the operation distribution unit is used for determining the personnel number and the tool number corresponding to each operation link according to the operation time table, the preset personnel database and the preset tool database; when detecting that no personnel number and/or tool number which can be called exists in any operation time period in the operation time table, acquiring task levels corresponding to all the personnel numbers and/or tool numbers in any operation time period; acquiring a personnel number and/or a tool number of which the task level is a green level and which corresponds to any operation time period; the job generating unit is used for generating job tasks and sending the job tasks to the corresponding job terminals; the work task at least comprises a task grade, work duration, work content, a personnel number, a tool number and a work time period.
Further, the job updating module comprises a data receiving unit, a data adjusting unit and a job updating unit; the data receiving unit is used for receiving the adjustment information uploaded by the operation terminal; wherein the adjustment information comprises the rest information and/or the wear information; the data adjusting unit is used for updating the preset personnel database and/or the preset tool database according to the adjusting information; generating a job update instruction to cause the job generation unit to update the job allocation table; the job updating unit is used for detecting whether the job distribution table has changed data or not; when detecting that the job distribution table has the changed data, generating a job adding task and a job canceling task.
Further, the system also comprises a safety maintenance module; the safety maintenance module comprises a personnel maintenance unit and a tool maintenance unit; the personnel maintenance unit is used for generating a retraining instruction to the operation terminal corresponding to the training information within a preset training time period according to the training information in the personnel database;
and the tool maintenance unit is used for determining a maintenance task of the tool corresponding to the wear information according to the wear information in the preset tool database and sending the maintenance task to the maintenance terminal.
In a second aspect, an embodiment of the present application provides an intelligent regulation and control method for distribution network uninterrupted power operation, where the method includes: acquiring meteorological information, operation task information, a preset personnel database and a preset tool database; the job task information comprises a task level and job information; determining operation link information corresponding to the operation task information according to the operation information; determining an operation time table corresponding to the operation task information based on operation links, operation types and weather limitations in the operation link information; generating an operation distribution table based on the task grade, a preset personnel database, a preset tool database, the operation type and an operation time table; wherein, the operation distribution table comprises the corresponding relation among the personnel number, the tool number and the preset operation time period; receiving adjustment information uploaded by the operation terminal so as to update the operation distribution table according to the adjustment information; when detecting that the job distribution table has changed data, generating a job adding task and a job canceling task; issuing the operation task to an operation terminal corresponding to the personnel number according to the personnel number in the operation distribution table and the personnel number corresponding to the operation newly added task; issuing the revocation task to an operation terminal corresponding to the personnel number according to the personnel number corresponding to the operation revocation task; the job task and the cancel task both comprise a personnel number, a tool number and a preset job time period.
Further, the operation link information comprises operation links, operation types and weather limits; according to the operation information, determining operation link information corresponding to the operation task information, which specifically comprises the following steps: determining a plurality of operation links corresponding to the operation information based on a semantic segmentation algorithm and the operation information; obtaining semantic keywords corresponding to each operation link and an execution sequence among the semantic keywords through a voice correlation algorithm; according to the semantic keywords and the preset keyword-link database, the operation type and the weather limitation corresponding to each operation link are determined.
Further, the method further comprises: determining a retraining time point corresponding to the training information according to the training information in the preset personnel database to generate a retraining instruction to an operation terminal corresponding to the training information; and determining a maintenance task of the tool corresponding to the wear information according to the wear information in the preset tool database, and sending the maintenance task to the maintenance terminal.
As can be appreciated by those skilled in the art, the present invention has at least the following beneficial effects:
the method comprises the steps of obtaining a preset personnel database and a preset tool database, and when operation is carried out, intelligently arranging and listing required tools according to weather information, personnel data and tool data and according to the degree of urgency (task level) of the operation. On the personnel side: the training reminding is sent out to the operating personnel, the state early warning is carried out on the operating personnel, and the operation is reasonably arranged according to the operation capability. In the aspect of tools: the tools are periodically checked and a tool requirements plan is automatically listed based on job type. The aspect of the operating efficiency: personnel and tools are intelligently matched, and the construction period and the operation sequence are reasonably arranged. Specialized management: the intelligent management of personnel and instrument is realized to furthest, promotes the operating efficiency.
Drawings
Some embodiments of the disclosure are described below with reference to the accompanying drawings, in which:
fig. 1 is a schematic diagram of an internal structure of an intelligent control system for distribution network operation without power outage, provided by an embodiment of the present application.
Fig. 2 is a flowchart of an intelligent control method for distribution network uninterrupted operation according to an embodiment of the present disclosure.
Detailed Description
It should be understood by those skilled in the art that the embodiments described below are only preferred embodiments of the present disclosure, and do not mean that the present disclosure can be implemented only by the preferred embodiments, which are merely for explaining the technical principles of the present disclosure and are not intended to limit the scope of the present disclosure. All other embodiments that can be derived by one of ordinary skill in the art from the preferred embodiments provided by the disclosure without undue experimentation will still fall within the scope of the disclosure.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The technical solutions proposed in the embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is an intelligent control system for distribution network uninterrupted operation according to an embodiment of the present application. As shown in fig. 1, the intelligent control system provided in the embodiment of the present application mainly includes: a status acquisition module 110, a job distribution module 120, a job update module 130, and a job issuing module 140.
The state obtaining module 110 is configured to obtain weather information, job task information, a preset personnel database, and a preset tool database; the job task information comprises a task level and job information;
note that the task level indicates the importance of the job task information.
As an example, the task levels are divided into a red level, a yellow level, and a green level; the importance degrees represented by the three parts are gradually decreased.
In addition, the present embodiment may further store a preset personnel database and a preset tool database.
Illustratively, the system further includes a data storage module 150; the data storage unit 150 is used for storing a preset personnel database and a preset tool database; the preset personnel database at least comprises personnel numbers, operation efficiency, rest information and training information; the preset tool database at least comprises tool numbers and wear information.
The job allocation module 120 is configured to determine, according to the job information, job link information corresponding to the job task information; determining an operation time table corresponding to the operation task information based on operation links, operation types and weather limitations in the operation link information; generating an operation distribution table based on the task level, a preset personnel database, a preset tool database, the operation type and an operation time table; wherein, the operation distribution table comprises the corresponding relation among the personnel number, the tool number and the preset operation time period;
the job assigning module 120 illustratively includes a job analyzing unit 121, a duration determining unit 122, a time generating unit 123, a job assigning unit 124, and a job generating unit 125.
The job analysis unit 121 is configured to determine a plurality of job links corresponding to job information based on a semantic segmentation algorithm and the job information; obtaining semantic keywords corresponding to each operation link and an execution sequence among the semantic keywords through a voice correlation algorithm; according to the semantic keywords and a preset keyword-link database, the operation type and weather limitation corresponding to the operation link are determined.
A duration determining unit 122, configured to determine, according to the operation-duration database, an operation duration range corresponding to each operation link; and further determining the working time length based on the task level. For example, when the task level is divided into a red level, the minimum value in the working duration range is determined as the working duration; when the task level is divided into a yellow level, determining a middle value in the operation duration range as the operation duration; and when the task level is divided into the green level, determining the maximum value in the working duration range as the working duration.
A time generation unit 123, configured to generate an operation schedule according to the weather information and the operation duration; the operation time table comprises an operation link, link meteorological limitation and link operation time period.
The operation allocation unit 124 is used for determining the personnel number and the tool number corresponding to each operation link according to the operation schedule, the preset personnel database and the preset tool database; when detecting that no personnel number and/or tool number which can be called exists in any operation time period in the operation time table, acquiring task levels corresponding to all the personnel numbers and/or tool numbers in any operation time period; and acquiring the personnel number and/or the tool number of which the task level is green as the personnel number and/or the tool number corresponding to any operation time period.
A job generating unit 125 for generating a job task and transmitting the job task to a corresponding job terminal; the job task at least comprises a task level, a job duration, job contents, a personnel number, a tool number and a job time period.
The job updating module 130 is configured to receive adjustment information uploaded by the job terminal, and update the job distribution table according to the adjustment information; when detecting that the job distribution table has the change data, generating a job adding task and a job canceling task.
Illustratively, the job update module 130 includes a data receiving unit 131, a data adjusting unit 132, and a job updating unit 133; a data receiving unit 131, configured to receive adjustment information uploaded by the job terminal; wherein the adjustment information comprises the rest information and/or the wear information; a data adjusting unit 132, configured to update the preset personnel database and/or the preset tool database according to the adjustment information; and generates a job update instruction to cause the job generation unit 125 to update the job allocation table; a job updating unit 133 for detecting whether there is change data in the job allocation table; when detecting that the job distribution table has the changed data, generating a job adding task and a job canceling task.
The operation issuing module 140 is configured to issue the operation task to the operation terminal corresponding to the person number according to the person number in the operation allocation table and the person number corresponding to the operation newly added task; issuing the revocation task to an operation terminal corresponding to the personnel number according to the personnel number corresponding to the operation revocation task; the job task and the cancel task both comprise a personnel number, a tool number and a preset job time period.
In addition, the embodiment can also detect the training condition of personnel and the abrasion condition of a tool.
Illustratively, the system further includes a security maintenance module 160; the safety maintenance module 160 includes a personnel maintenance unit and a tool maintenance unit; the personnel maintenance unit is used for generating a retraining instruction to the operation terminal corresponding to the training information within a preset training time period according to the training information in the personnel database; and the tool maintenance unit is used for determining a maintenance task of the tool corresponding to the wear information according to the wear information in the preset tool database and sending the maintenance task to the maintenance terminal. It should be noted that the preset training time period may be any feasible time period.
In addition, the embodiment of the application further provides an intelligent regulation and control method for distribution network uninterrupted operation, and the execution main body is the server. As shown in fig. 2, the intelligent control method provided in the embodiment of the present application mainly includes the following steps:
and step 210, acquiring meteorological information, job task information, a preset personnel database and a preset tool database.
The job task information includes task level and job information.
The work allocation table includes a correspondence relationship among a person number, a tool number, and a preset work time period.
Specifically, the operation link information includes an operation link, an operation type, and weather restrictions; according to the operation information, determining operation link information corresponding to the operation task information, which may specifically be: determining a plurality of operation links corresponding to the operation information based on a semantic segmentation algorithm and the operation information; obtaining semantic keywords corresponding to each operation link and an execution sequence among the semantic keywords through a voice correlation algorithm; according to the semantic keywords and the preset keyword-link database, the operation type and the weather limitation corresponding to each operation link are determined.
The job task and the revocation task both comprise a personnel number, a tool number and a preset job time period.
In addition, the embodiment can also detect the training condition of personnel and the wear condition of a tool.
As an example, according to training information in a preset personnel database, determining a retraining time point corresponding to the training information to generate a retraining instruction to an operation terminal corresponding to the training information;
and determining a maintenance task of the tool corresponding to the wear information according to the wear information in the preset tool database, and sending the maintenance task to the maintenance terminal.
So far, the technical solutions of the present disclosure have been described in connection with the foregoing embodiments, but it is easily understood by those skilled in the art that the scope of the present disclosure is not limited to only these specific embodiments. The technical solutions in the above embodiments can be split and combined, and equivalent changes or substitutions can be made on related technical features by those skilled in the art without departing from the technical principles of the present disclosure, and any changes, equivalents, improvements, and the like made within the technical concept and/or technical principles of the present disclosure will fall within the protection scope of the present disclosure.
Claims (8)
1. The utility model provides an intelligent control system for joining in marriage net work of not having a power failure which characterized in that, the system includes:
the state acquisition module is used for acquiring meteorological information, operation task information, a preset personnel database and a preset tool database; the job task information comprises a task level and job information;
the operation distribution module is used for determining operation links, operation types and weather limits corresponding to the operation task information according to the operation information so as to determine an operation time table corresponding to the operation task information; generating an operation distribution table based on the task grade, the preset personnel database, the preset tool database, the operation type and the operation time table; the work distribution table comprises corresponding relations among a personnel number, a tool number and a preset work time period;
the operation updating module is used for receiving the adjustment information uploaded by the operation terminal so as to update the operation distribution table according to the adjustment information; when detecting that the job distribution table has changed data, generating a job adding task and a job canceling task;
the operation issuing module is used for issuing the operation tasks to the operation terminals corresponding to the personnel numbers according to the personnel numbers in the operation distribution table and the personnel numbers corresponding to the operation newly added tasks; and issuing the revocation task to the operation terminal corresponding to the personnel number according to the personnel number corresponding to the operation revocation task.
2. The intelligent regulation and control system for distribution network uninterrupted power operation of claim 1, wherein the system further comprises a data storage module;
the data storage module is used for storing a preset personnel database and a preset tool database; the preset personnel database at least comprises personnel numbers, operation efficiency, rest information and training information; the preset tool database at least comprises tool numbers and wear information.
3. The intelligent regulation and control system for distribution network uninterrupted power operation according to claim 2, wherein the operation distribution module comprises an operation analysis unit, a duration determination unit, a time generation unit, an operation distribution unit and an operation generation unit;
the operation analysis unit is used for determining a plurality of operation links corresponding to the operation information based on a semantic segmentation algorithm and the operation information; obtaining semantic keywords corresponding to each operation link and an execution sequence among the semantic keywords through a voice correlation algorithm; determining the operation type and weather limitation corresponding to the operation link according to the semantic keyword and a preset keyword-link database;
the time length determining unit is used for determining the operation time length range corresponding to each operation link according to the operation-time length database; further determining the operation duration based on the task level; wherein the task grade is divided into a red grade, a yellow grade and a green grade; when the task level is a red level, determining the minimum value in the operation duration range as the operation duration; when the task level is divided into a yellow level, determining a middle value in the operation duration range as the operation duration; when the task level is divided into green levels, determining the maximum value in the operation duration range as the operation duration;
the time generation unit is used for generating an operation time table according to the meteorological information and the operation duration; wherein, the operation time table comprises an operation link, link weather limitation and link operation time period;
the operation distribution unit is used for determining the personnel number and the tool number corresponding to each operation link according to the operation time table, the preset personnel database and the preset tool database; when detecting that no personnel number and/or tool number which can be called exists in any operation time period in the operation time table, acquiring task levels corresponding to all the personnel numbers and/or tool numbers in any operation time period; acquiring a personnel number and/or a tool number with a green task level as a personnel number and/or a tool number corresponding to any operation time period;
the job generating unit is used for generating job tasks and sending the job tasks to corresponding job terminals; the work task at least comprises a task grade, work duration, work content, a personnel number, a tool number and a work time period.
4. The intelligent regulation and control system for distribution network uninterrupted operation according to claim 3, wherein the operation updating module comprises a data receiving unit, a data adjusting unit and an operation updating unit;
the data receiving unit is used for receiving the adjustment information uploaded by the operation terminal; wherein the adjustment information comprises a rest information and/or a wear information;
the data adjusting unit is used for updating a preset personnel database and/or a preset tool database according to the adjusting information; generating a job update instruction to cause the job generation unit to update the job allocation table;
the job updating unit is used for detecting whether the job distribution table has changed data or not; when detecting that the job distribution table has the changed data, generating a job adding task and a job canceling task.
5. The intelligent regulation and control system for distribution network uninterrupted power operation of claim 2, wherein the system further comprises a safety maintenance module;
the safety maintenance module comprises a personnel maintenance unit and a tool maintenance unit;
the personnel maintenance unit is used for generating a retraining instruction to the operation terminal corresponding to the training information within a preset training time period according to the training information in the personnel database;
and the tool maintenance unit is used for determining a maintenance task of a tool corresponding to the wear information according to the wear information in a preset tool database, and sending the maintenance task to a maintenance terminal.
6. An intelligent regulation and control method for distribution network uninterrupted operation is characterized by comprising the following steps:
acquiring meteorological information, operation task information, a preset personnel database and a preset tool database; the job task information comprises a task level and job information;
according to the operation information, determining operation links, operation types and weather limits corresponding to the operation task information, and further determining an operation time table corresponding to the operation task information; generating an operation distribution table based on the task level, a preset personnel database, a preset tool database, the operation type and an operation time table; the operation distribution table comprises corresponding relations among a personnel number, a tool number and a preset operation time period;
receiving adjustment information uploaded by an operation terminal so as to update an operation distribution table according to the adjustment information; when detecting that the job distribution table has changed data, generating a job adding task and a job canceling task;
according to the personnel number in the operation distribution table and the personnel number corresponding to the operation newly added task, the operation task is issued to the operation terminal corresponding to the personnel number; and issuing the revocation task to the operation terminal corresponding to the personnel number according to the personnel number corresponding to the operation revocation task.
7. The intelligent regulation and control method for distribution network uninterrupted power operation according to claim 6, wherein the operation link information comprises operation links, operation types and weather restrictions;
according to the operation information, determining operation link information corresponding to the operation task information, which specifically comprises the following steps:
determining a plurality of operation links corresponding to the operation information based on a semantic segmentation algorithm and the operation information;
obtaining semantic keywords corresponding to each operation link and an execution sequence among the semantic keywords through a voice correlation algorithm; and determining the operation type and weather limitation corresponding to each operation link according to the semantic keywords and a preset keyword-link database.
8. The intelligent regulation and control method for distribution network uninterrupted power operation according to claim 6, further comprising:
determining a retraining time point corresponding to training information according to the training information in a preset personnel database to generate a retraining instruction to an operation terminal corresponding to the training information;
and determining a maintenance task of the tool corresponding to the wear information according to the wear information in a preset tool database, and sending the maintenance task to a maintenance terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111634670.5A CN114519494A (en) | 2021-12-29 | 2021-12-29 | Intelligent regulation and control system and method for distribution network uninterrupted operation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202111634670.5A CN114519494A (en) | 2021-12-29 | 2021-12-29 | Intelligent regulation and control system and method for distribution network uninterrupted operation |
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| CN117172517A (en) * | 2023-11-03 | 2023-12-05 | 南通康盛医疗器械有限公司 | Intelligent system for safe production of medical supplies |
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| CN117172517A (en) * | 2023-11-03 | 2023-12-05 | 南通康盛医疗器械有限公司 | Intelligent system for safe production of medical supplies |
| CN117172517B (en) * | 2023-11-03 | 2023-12-29 | 南通康盛医疗器械有限公司 | Intelligent system for safe production of medical supplies |
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