CN113112236A - Intelligent distribution network scheduling system and method based on voice and voiceprint recognition - Google Patents
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Abstract
The application provides a distribution network intelligent scheduling system and a distribution network intelligent scheduling method based on voice and voiceprint recognition, wherein the method can be realized through the system, and the method comprises the steps of starting text input and intelligent voice input, and acquiring identity information of a user and input text and voice information of the user; acquiring keyword information in text and voice information input by a user; generating scheduling service information and acquiring a scheduling work order; establishing a log, and recording the execution process of the scheduling work order in real time; and after all the services of the scheduling work order are executed, closing the scheduling work order to complete the scheduling work. The system and the method apply the voice recognition and voiceprint recognition technology of deep learning to the distribution network dispatching service, greatly simplify the dispatching service process, improve the efficiency of the processes of log filling, duty switching, service quality inspection, statistical analysis and the like in the dispatching service, reduce the workload of dispatching personnel, and provide support for the safe and stable operation of a power grid.
Description
Technical Field
The application relates to the technical field of power information systems, in particular to a distribution network intelligent scheduling system and method based on voice and voiceprint recognition.
Background
Distribution network scheduling not only requires a scheduler to master the practical professional knowledge, but also needs to comprehensively master related information, data and the like, and has the capabilities of random strain, flexible response and the like so as to timely handle emergency situations encountered in the working process. Therefore, the existing distribution network dispatching work has high requirements on the aspects of professional quality, working strength and the like of dispatching personnel.
Disclosure of Invention
The application provides a distribution network intelligent scheduling system and method based on voice and voiceprint recognition, which simplify the process of scheduling services and improve the working efficiency of the scheduling services.
On the one hand, the application provides a net intelligent dispatching system is joined in marriage based on pronunciation and voiceprint discernment, includes:
a voice voiceprint recognition module configured to recognize an identity of a user from voice information input by the user;
an intelligent language search module configured to perform a fast search on a scheduled voice file;
the scheduling work order management module is configured to manage the scheduling work orders in the system and generate scheduling service information;
the log management module is configured to generate log information according to scheduling service information of a current process;
the voice voiceprint recognition module is connected with the intelligent language search module, the intelligent language search module is connected with the scheduling work order management module, and the scheduling work order management module is connected with the log management module.
Optionally, the system further comprises a traditional human-computer interaction module, wherein the traditional human-computer interaction module is configured to provide traditional mouse and keyboard input as auxiliary input of the system;
and the traditional man-machine interaction module is connected with the dispatching work order management module.
Optionally, the system further comprises a shift switching management module and an organization ledger module, wherein the shift switching management module and the organization ledger module are both connected with the scheduling work order management module;
the shift management module is configured to generate shift information in scheduling business, and the organization ledger module is configured to provide identity information of organizations and personnel;
optionally, the voice recognition system further comprises a voice acquisition module, wherein the voice acquisition module is connected with the voice voiceprint recognition module, and the voice acquisition module is configured to perform whole-course recording on the voice input into the voice voiceprint recognition module.
Optionally, the voice and voiceprint recognition module performs text transcription on the input voice through a voice recognition algorithm, and recognizes the identity information of the input voice through the voiceprint recognition algorithm.
Optionally, the voice voiceprint recognition rate of the voice voiceprint recognition module is 95% or more.
On the other hand, the application also provides a distribution network intelligent scheduling method based on voice and voiceprint recognition, which comprises the following steps:
the method comprises the following steps: starting text input and intelligent voice input, and acquiring identity information of a user and input text and voice information of the user;
step two: acquiring keyword information in text and voice information input by a user;
step three: generating scheduling service information and acquiring a scheduling work order;
step four: establishing a log, and recording the execution process of the scheduling work order in real time;
step five: and after all the services of the scheduling work order are executed, closing the scheduling work order to complete the scheduling work.
Optionally, in the step of acquiring keyword information in text and voice information input by the user, the keyword information includes scheduled time information, working user information, and scheduling service information.
According to the technical scheme, the method can be realized through the system, and comprises the steps of starting text input and intelligent voice input, and obtaining identity information of a user and input text and voice information of the user; acquiring keyword information in text and voice information input by a user; generating scheduling service information and acquiring a scheduling work order; establishing a log, and recording the execution process of the scheduling work order in real time; and after all the services of the scheduling work order are executed, closing the scheduling work order to complete the scheduling work. The system and the method apply the voice recognition and voiceprint recognition technology of deep learning to the distribution network scheduling service, realize the voice regulation and control of the distribution network scheduling work, enable a computer to understand the voice indication of a scheduling staff, and carry out related comparison and analysis according to the indication content, greatly simplify the scheduling service process, improve the efficiency of the processes of log filling, switching, service quality inspection, statistical analysis and the like in the scheduling service, reduce the workload of the scheduling staff, enable the scheduling staff to concentrate on the scheduling service needing higher safety guarantee, furthest ensure the safety of the scheduling operation, and provide support for the safe and stable operation of a power grid.
Drawings
In order to more clearly explain the technical solution of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious to those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a distribution network intelligent scheduling system based on voice and voiceprint recognition according to the present application;
fig. 2 is a flowchart of a distribution network intelligent scheduling method based on voice and voiceprint recognition according to the present application.
Detailed Description
Reference will now be made in detail to embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following examples do not represent all embodiments consistent with the present application. But merely as exemplifications of systems and methods consistent with certain aspects of the application, as recited in the claims.
On the one hand, the application provides a net intelligent dispatching system is joined in marriage based on pronunciation and voiceprint discernment.
Referring to fig. 1, a schematic structural diagram of a distribution network intelligent scheduling system based on voice and voiceprint recognition is provided. As can be seen from fig. 1, the distribution network intelligent scheduling system based on voice and voiceprint recognition provided by the present application includes:
the voice voiceprint recognition module 1, wherein the voice voiceprint recognition module 1 is configured to recognize the identity of a user according to voice information input by the user;
the intelligent language searching module 2 is configured to perform fast searching on the scheduling voice file;
the scheduling work order management module 3 is configured to manage the scheduling work orders in the system and generate scheduling service information;
the log management module 4 is configured to generate log information according to scheduling service information of a current process;
the voice voiceprint recognition module 1 is connected with the intelligent language search module 2, the intelligent language search module 2 is connected with the scheduling work order management module 3, and the scheduling work order management module 3 is connected with the log management module 4.
Further, the utility model provides a join in marriage net intelligent dispatching system based on pronunciation and voiceprint discernment still includes:
a conventional human-computer interaction module 5, said conventional human-computer interaction module 5 being configured to provide conventional mouse-keyboard input as an auxiliary input to the system;
a shift management module 6, wherein the shift management module 6 is configured to generate shift information in a scheduling service;
an organization ledger module 7, the organization ledger module 7 configured to provide identity information of organizations and personnel;
a voice acquisition module 8, wherein the voice acquisition module 8 is configured to perform whole-course recording on the voice input into the voice voiceprint recognition module 1.
The traditional human-computer interaction module 5, the shift-to-shift management module 6 and the organization ledger module 7 are all connected with the scheduling work order management module 3, and the voice acquisition module 8 is connected with the voice voiceprint recognition module 1.
Further, the voice voiceprint recognition module 1 performs text transcription on the input voice through a voice recognition algorithm, and recognizes the identity information of the input voice through the voiceprint recognition algorithm, and the voice voiceprint recognition rate of the voice voiceprint recognition module 1 is 95% or more.
After a user issues a voice instruction to the system, the voice voiceprint recognition module 1 firstly recognizes the identity information of the user and judges that the user has the management authority. If the user is judged to have the management authority, the intelligent language searching module 2 starts to be started, fast searching is carried out according to keywords in the voice information of the user, such as time, scheduling personnel, work content and other information, and a scheduling work order is automatically generated according to information provided by the shift management module 6 and the organization ledger module 7. The working staff works according to the scheduling work order and feeds back the working result to the log management module 4 in real time in a voice or text mode, and the log management module 4 generates log information according to the scheduling service information of the current process and records the whole working process in real time. In addition, the voice acquisition module 8 carries out whole-process recording on all recorded voices in the scheduling work in the whole process.
On the other hand, the application provides a distribution network intelligent scheduling method based on voice and voiceprint recognition, and the method can be realized through the system.
Referring to fig. 2, a flowchart of a distribution network intelligent scheduling method based on voice and voiceprint recognition is provided in the present application. As can be seen from fig. 2, the present application provides a distribution network intelligent scheduling method based on voice and voiceprint recognition, including:
the method comprises the following steps: starting text input and intelligent voice input, and acquiring identity information of a user and input text and voice information of the user;
step two: acquiring keyword information in text and voice information input by user
Step three: generating scheduling service information and acquiring a scheduling work order;
step four: establishing a log, and recording the execution process of the scheduling work order in real time;
step five: and after all the services of the scheduling work order are executed, closing the scheduling work order to complete the scheduling work.
In the step of acquiring the keyword information in the text and voice information input by the user, the keyword information includes scheduling time information, working user information and scheduling service information.
According to the technical scheme, the intelligent distribution network scheduling system based on voice and voiceprint recognition comprises a voice voiceprint recognition module 1, an intelligent language search module 2, a scheduling work order management module 3, a log management module 4, a traditional human-computer interaction module 5, a shift management module 6, an organization account module 7 and a voice acquisition module 8. The method can be realized through the system, and comprises the steps of starting text input and intelligent voice input, and acquiring identity information of a user and input text and voice information of the user; acquiring keyword information in text and voice information input by a user; generating scheduling service information and acquiring a scheduling work order; establishing a log, and recording the execution process of the scheduling work order in real time; and after all the services of the scheduling work order are executed, closing the scheduling work order to complete the scheduling work. The system and the method apply the voice recognition and voiceprint recognition technology of deep learning to the distribution network scheduling service, realize the voice regulation and control of the distribution network scheduling work, enable a computer to understand the voice indication of a scheduling staff, and carry out related comparison and analysis according to the indication content, greatly simplify the scheduling service process, improve the efficiency of the processes of log filling, switching, service quality inspection, statistical analysis and the like in the scheduling service, reduce the workload of the scheduling staff, enable the scheduling staff to concentrate on the scheduling service needing higher safety guarantee, furthest ensure the safety of the scheduling operation, and provide support for the safe and stable operation of a power grid.
While there have been shown and described what are at present considered the fundamental principles and essential features of the application, and advantages thereof, it will be apparent to those skilled in the art that the application is not limited to the details of the foregoing exemplary embodiments, but is capable of other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein.
Furthermore, it should be understood that although the present description refers to embodiments, not every embodiment may contain only a single embodiment, and such description is for clarity only, and those skilled in the art should integrate the description, and the embodiments may be combined as appropriate to form other embodiments understood by those skilled in the art.
The embodiments provided in the present application are only a few examples of the general concept of the present application, and do not limit the scope of the present application. Any other embodiments extended according to the scheme of the present application without inventive efforts will be within the scope of protection of the present application for a person skilled in the art.
Claims (8)
1. The utility model provides a net intelligent dispatching system is joined in marriage based on pronunciation and voiceprint discernment which characterized in that includes:
a voice voiceprint recognition module (1), wherein the voice voiceprint recognition module (1) is configured to recognize the identity of a user according to voice information input by the user;
an intelligent language search module (2), wherein the intelligent language search module (2) is configured to perform fast search on the scheduling voice file;
the scheduling work order management module (3), the scheduling work order management module (3) is configured to manage the scheduling work order in the system, and generates scheduling service information;
the log management module (4), the log management module (4) is configured to generate log information according to the scheduling service information of the current process;
the voice voiceprint recognition module (1) is connected with the intelligent language search module (2), the intelligent language search module (2) is connected with the scheduling work order management module (3), and the scheduling work order management module (3) is connected with the log management module (4).
2. The intelligent dispatching system for distribution networks based on voice and voiceprint recognition, as claimed in claim 1, further comprising a traditional human-computer interaction module (5), wherein the traditional human-computer interaction module (5) is configured to provide traditional mouse and keyboard input as auxiliary input of the system;
and the traditional man-machine interaction module (5) is connected with the scheduling work order management module (3).
3. The distribution network intelligent scheduling system based on voice and voiceprint recognition of claim 1, further comprising a shift management module (6) and an organization ledger module (7), wherein the shift management module (6) and the organization ledger module (7) are both connected to the scheduling work order management module (3);
the shift management module (6) is configured to generate shift information in scheduling business, and the organization ledger module (7) is configured to provide identity information of organizations and personnel.
4. The distribution network intelligent dispatching system based on voice and voiceprint recognition as claimed in claim 1, further comprising a voice collection module (8), wherein the voice collection module (8) is connected to the voice voiceprint recognition module (1), and the voice collection module (8) is configured to perform full-range recording on the voice input into the voice voiceprint recognition module (1).
5. The distribution network intelligent scheduling system based on voice and voiceprint recognition as claimed in claim 1, wherein the voice voiceprint recognition module (1) performs text transcription on the input voice through a voice recognition algorithm, and recognizes the identity information of the user through a voiceprint recognition algorithm.
6. The distribution network intelligent dispatching system based on voice and voiceprint recognition as claimed in claim 5, wherein the voice voiceprint recognition rate of the voice voiceprint recognition module (1) is 95% or more.
7. A distribution network intelligent scheduling method based on voice and voiceprint recognition is characterized by comprising the following steps:
the method comprises the following steps: starting text input and intelligent voice input, and acquiring identity information of a user and input text and voice information of the user;
step two: acquiring keyword information in text and voice information input by a user;
step three: generating scheduling service information and acquiring a scheduling work order;
step four: establishing a log, and recording the execution process of the scheduling work order in real time;
step five: and after all the services of the scheduling work order are executed, closing the scheduling work order to complete the scheduling work.
8. The intelligent distribution network scheduling method based on voice and voiceprint recognition according to claim 7, wherein in the step of obtaining keyword information in text and voice information input by a user, the keyword information includes scheduled time information, working user information and scheduling service information.
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| CN114239593A (en) * | 2021-12-02 | 2022-03-25 | 国网山东省电力公司信息通信公司 | Scheduling recording intelligent monitoring method and system based on semantic analysis |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114239593A (en) * | 2021-12-02 | 2022-03-25 | 国网山东省电力公司信息通信公司 | Scheduling recording intelligent monitoring method and system based on semantic analysis |
| CN114171011A (en) * | 2021-12-25 | 2022-03-11 | 中国人民解放军战略支援部队信息工程大学 | Monophonic voice recognition method and system based on railway scheduling |
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