CN111048080A - Intelligent dispatching command system based on voice recognition technology - Google Patents
Intelligent dispatching command system based on voice recognition technology Download PDFInfo
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- G10L15/00—Speech recognition
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- G10L15/00—Speech recognition
- G10L15/02—Feature extraction for speech recognition; Selection of recognition unit
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- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
- G10L2015/223—Execution procedure of a spoken command
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Abstract
The invention discloses a dispatching intelligent command system based on a voice recognition technology, which comprises an intelligent voice recognition system, an operation ticket generation system and an operation ticket auditing and submitting system which are sequentially connected, wherein the voice recognition system recognizes the voice of a dispatcher and performs man-machine voice interaction to simplify the operation; the operation ticket generating system produces the operation ticket with the standard format according to the identified oral operation ticket and the established database; the generated operation ticket in the standard format is submitted to a corresponding execution unit after receiving the verification confirmation of the dispatcher in the operation ticket verifying and submitting system; the ticket writing process based on the voice recognition technology can greatly improve the working efficiency of a dispatcher and reduce the workload of the dispatcher; because the standard operation order is generated, the next worker can clearly understand the operation content of the previous dispatcher, and the possibility of error caused by the fact that the operation order is not filled in the specification is reduced.
Description
Technical Field
The embodiment of the invention relates to the technical field of power dispatching, in particular to a dispatching intelligent command system based on a voice recognition technology.
Background
The existing dispatching command system is mainly based on a manual experience power system operation dispatching mode, adopts a manual input mode to compile a dispatching instruction ticket, has the problems that analysis software is usually numerical analysis software, results cannot be integrated and analyzed, and various analysis results need to be manually called and relevant comprehensive decisions need to be made to carry out dispatching command.
The problems faced by the traditional power system operation scheduling mode based on manual experience are as follows:
firstly, a statistical, mining and analysis method based on data driving is urgently required to be introduced in the aspects of power grid characteristics and behavior analysis;
secondly, an intelligent analysis and decision method is needed to be introduced in the aspects of learning and simulation of regulating and controlling operation knowledge experience;
thirdly, the man-machine interaction means is single, and the intelligent requirement of dispatching is difficult to meet.
The existing regulation and control integrated system also has the following defects:
(1) mass information is introduced, and operators need to manually associate, analyze and process a large amount of data and knowledge rules, so that effective and rapid decision support cannot be obtained;
(2) the traditional methods for compiling operation tickets by using a point diagram ticket-making method and a historical data ticket-making method are too complicated, cannot adapt to changeable power grid forms and the requirements for quickly handling fault problems, and urgently need a quick, intelligent and accurate ticket-making method;
(3) the deep data query of power dispatching is difficult, the traditional system menu is complex and is not easy to master quickly, and the man-machine interaction mode is single and not convenient enough.
Disclosure of Invention
The invention aims to provide an intelligent dispatching command system based on a voice recognition technology, which solves the problems of complex operation and low working efficiency caused by single man-machine interaction in the prior art through an operation ticket generation system based on man-machine voice interaction.
In order to achieve the above object, the embodiment of the present invention discloses the following technical solutions:
a dispatching intelligent command system based on voice recognition technology comprises an intelligent voice recognition system, an operation ticket generation system and an operation ticket auditing and submitting system which are connected in sequence;
the intelligent voice recognition system comprises a voice signal input module, a preprocessing and feature extraction module, a mode matching module and a text output module which are sequentially connected, wherein the mode matching module is also connected with a scheduling model library;
the operation ticket generating system comprises a key information extracting module, a model comparing and matching module, a content and structure mapping module and an operation ticket generating module which are sequentially connected;
the operation ticket checking and submitting system comprises an operation ticket checking and confirming module, a dispatcher operation ticket information archiving module and an operation ticket checking and submitting module which are sequentially connected.
Furthermore, the voice signal input module collects and identifies the dictation operation order of the dispatcher and sends the dictation operation order to the preprocessing and feature extraction module;
and after the preprocessing and feature extraction module preprocesses the dictation operation ticket, extracting key information in the dictation operation ticket.
Furthermore, a scheduling model containing the key information is stored in the scheduling model library, the received key information is compared with the scheduling model stored in the model scheduling library by the mode matching module, and corresponding human-computer voice interaction and oral content output are performed according to the key information based on the scheduling model;
and the text output module generates a dictation content text based on a scheduling model according to the dictation content output by the matching module.
Further, the key information extraction module extracts key information and scheduling model structure information in the dictation content text;
the model comparison and matching module compares and matches key information and scheduling model structure information with a stored operation order model, and sends the key information and the corresponding operation order model to the content and structure mapping module.
Further, the content and structure mapping module fills the key information into corresponding positions on the operation order model;
and the operation ticket generating module generates a standard operation ticket according to the operation ticket model filled with the key information.
Furthermore, the dispatcher performs auditing and confirmation on the standard operation ticket through the operation ticket auditing and confirming module; the dispatcher operation ticket information archiving module stores the confirmed standard operation tickets, and inputs and stores corresponding dispatcher information; and the operation ticket submitting module submits the confirmed standard operation ticket to a corresponding execution unit.
Furthermore, the voice recognition system also comprises a semantic analysis module, a voice control module and an integrated analysis module, wherein the semantic analysis module, the voice control module and the integrated analysis module are all connected with the voice signal input module, and the functions of voice data real-time translation, voice navigation and voice retrieval are realized through the semantic analysis module, the voice control module and the integrated analysis module.
Furthermore, the voice recognition system also comprises a voice database, wherein the voice database stores voice characteristic information corresponding to a plurality of dispatchers one by one, and the voice characteristic information comprises use habit information and recognition mode information.
Further, the pre-processing includes pre-emphasis, frame windowing and endpoint monitoring of the received speech digital signal in sequence.
Further, the key information includes device parameter information, operation term information, and work content information.
The embodiment of the invention has the following advantages:
(1) the ticket writing process based on the voice recognition technology can enable the dispatcher to realize automatic generation of the operation ticket through a natural speaking mode, so that the working efficiency of the dispatcher can be greatly improved, and the workload of the dispatcher is reduced;
(2) because the standard operation order is generated, the next worker can clearly understand the operation content of the previous dispatcher, and the possibility of error caused by the fact that the operation order is not filled in the specification is reduced.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so that those skilled in the art can understand and read the present invention, and do not limit the conditions for implementing the present invention, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the functions and purposes of the present invention, should still fall within the scope covered by the contents disclosed in the present invention.
FIG. 1 is a system block diagram of an embodiment of the present invention.
In the figure:
100-intelligent speech recognition system; 200-operation ticket generating system; 300-operation ticket auditing and submitting system;
101-a voice signal input module; 102-preprocessing and feature extraction module; 103-a pattern matching module; 104-text output module;
201-key information extraction module; 202-model alignment and matching module; 203-content and structure mapping module; 204-operation ticket generating module;
301-operation ticket checking and confirming module; 302-a dispatcher operation ticket information archiving module; 303-operation ticket submission module.
Detailed Description
In order to make the objects, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the embodiments described below are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the invention discloses a dispatching intelligent command system based on a voice recognition technology, which comprises an intelligent voice recognition system 100, an operation ticket generation system 200 and an operation ticket auditing and submitting system 300 which are sequentially connected, simplifies the operation of processing the power grid fault through human-computer voice interaction, and intelligently generates operation tickets with unified standards, so that the next worker can easily know the operation content of the previous dispatcher, and the possibility of errors caused by the non-standard filling of the operation tickets is reduced.
The intelligent voice recognition system 100 comprises a voice signal input module 101, a preprocessing and feature extraction module 102, a pattern matching module 103 and a text output module 104 which are connected in sequence, wherein the pattern matching module 103 is further connected with a scheduling model library 105.
Specifically, the voice signal input module 101 collects and identifies a dictation operation order of a dispatcher, and sends the dictation operation order to the preprocessing and feature extraction module 102; the preprocessing and feature extraction module 102 preprocesses the dictation operation ticket and extracts key information in the dictation operation ticket, wherein the key information includes device parameter information, operation term information and work content information.
The scheduling model base 105 stores the scheduling model containing the key information, and the pattern matching module 103 compares the received key information with the scheduling model stored in the model scheduling base 105, and performs corresponding human-computer voice interaction and oral content output according to the key information based on the scheduling model; the text output module 104 generates a dictation text based on the scheduling model according to the dictation output by the matching module, wherein the scheduling model is an existing scheduling model.
The operation ticket generating system 200 comprises a key information extracting module 201, a model comparing and matching module 202, a content and structure mapping module 203, and an operation ticket generating module 204, which are connected in sequence.
Specifically, the key information extraction module 201 extracts key information and scheduling model structure information in the spoken content text; the model comparison and matching module 202 compares and matches the key information and the scheduling model structure information with the stored operation order model, and sends the key information and the corresponding operation order model to the content and structure mapping module 203.
The content and structure mapping module 203 fills the key information into corresponding positions on the operation order model; the operation order generation module 204 generates a standard operation order according to the operation order model filled with the key information.
The operation ticket auditing and submitting system 300 comprises an operation ticket auditing and confirming module 301, a dispatcher operation ticket information archiving module 302 and an operation ticket submitting module 303 which are connected in sequence.
Specifically, the dispatcher performs auditing and confirmation on the standard operation ticket through the operation ticket auditing and confirming module 301; the dispatcher operation ticket information archiving module 302 stores the confirmed standard operation ticket, and inputs and stores corresponding dispatcher information; the operation ticket submitting module 303 submits the confirmed standard operation ticket to a corresponding execution unit.
In addition, the voice recognition system 100 further includes a semantic analysis module, a voice control module, and an integrated analysis module, which are all connected to the voice signal input module 101, and the functions of real-time translation of voice data, voice navigation, and voice retrieval are realized through the semantic analysis module, the voice control module, and the integrated analysis module.
In addition, the speech recognition system 100 further includes a speech database storing speech feature information corresponding to a plurality of dispatchers one to one, the speech feature information including usage habit information and recognition mode information.
The preprocessing generally comprises pre-emphasis, framing and windowing and end point monitoring of the received voice digital signal in sequence.
Pre-emphasis is a signal processing approach that compensates for the high frequency components of the input signal at the transmitting end. The idea of the pre-emphasis technique is to enhance the high-frequency component of the signal at the beginning of the transmission line to compensate for the excessive attenuation of the high-frequency component during transmission. And pre-emphasis has no influence on noise, so that the output signal-to-noise ratio is effectively improved.
Windowing and framing are both pre-processing stages of speech signal extraction features. Firstly, dividing frames, then adding windows, and then performing fast Fourier transform.
Framing: in the later speech processing, a stationary signal is required to be input, so that the whole speech signal is framed, that is, cut into a plurality of segments, to ensure the stability of the signal.
Windowing: after framing according to the above method, discontinuous places appear at the beginning and end of each frame, so the more framing, the larger the error with the original signal. Windowing is to solve this problem, so that the signal after framing becomes continuous, and each frame will show the characteristics of a periodic function.
End point monitoring: when the voice signal is collected, the voice signal between the starting node and the ending node of the voice signal is collected, so that the space and the CPU resource are saved.
The ticket writing process based on the voice recognition technology can enable the dispatcher to automatically generate the operation ticket through a natural speaking mode, so that the working efficiency of the dispatcher can be greatly improved, and the workload of the dispatcher is reduced.
In addition, as the standard operation order is generated, the next worker can clearly understand the operation content of the previous dispatcher, and the possibility of error caused by the fact that the operation order is not filled in the specification is reduced.
The terminology used herein is for the purpose of describing particular example embodiments only and is not intended to be limiting. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The terms "comprises," "comprising," "including," and "having" are intended to be inclusive and therefore specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed and illustrated, unless explicitly indicated as an order of performance. It should also be understood that additional or alternative steps may be employed.
When an element or layer is referred to as being "on" … … "," engaged with "… …", "connected to" or "coupled to" another element or layer, it can be directly on, engaged with, connected to or coupled to the other element or layer, or intervening elements or layers may also be present. In contrast, when an element or layer is referred to as being "directly on … …," "directly engaged with … …," "directly connected to" or "directly coupled to" another element or layer, there may be no intervening elements or layers present. Other words used to describe the relationship of elements should be interpreted in a similar manner (e.g., "between … …" and "directly between … …", "adjacent" and "directly adjacent", etc.). As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items. Although the terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region or section from another element, component, region or section. Unless clearly indicated by the context, use of terms such as the terms "first," "second," and other numerical values herein does not imply a sequence or order. Thus, a first element, component, region, layer or section discussed below could be termed a second element, component, region, layer or section without departing from the teachings of the example embodiments.
Spatially relative terms, such as "inner," "outer," "below," "… …," "lower," "above," "upper," and the like, may be used herein for ease of description to describe a relationship between one element or feature and one or more other elements or features as illustrated in the figures. Spatially relative terms may be intended to encompass different orientations of the device in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "below" or "beneath" other elements or features would then be oriented "above" the other elements or features. Thus, the example term "below … …" can encompass both an orientation of facing upward and downward. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A dispatching intelligent command system based on voice recognition technology is characterized by comprising an intelligent voice recognition system (100), an operation ticket generation system (200) and an operation ticket auditing and submitting system (300) which are connected in sequence;
the intelligent voice recognition system (100) comprises a voice signal input module (101), a preprocessing and feature extraction module (102), a pattern matching module (103) and a text output module (104) which are sequentially connected, wherein the pattern matching module (103) is also connected with a scheduling model library (105);
the operation ticket generating system (200) comprises a key information extracting module (201), a model comparing and matching module (202), a content and structure mapping module (203) and an operation ticket generating module (204) which are sequentially connected;
the operation ticket auditing and submitting system (300) comprises an operation ticket auditing and confirming module (301), a dispatcher operation ticket information archiving module (302) and an operation ticket submitting module (303) which are sequentially connected.
2. The intelligent dispatching command system based on the voice recognition technology as claimed in claim 1, wherein the voice signal input module (101) collects and identifies the dictation operation order of a dispatcher and sends the dictation operation order to the preprocessing and feature extraction module (102);
and the preprocessing and characteristic extracting module (102) is used for preprocessing the dictation operation ticket and extracting key information in the dictation operation ticket.
3. The intelligent scheduling command system based on the voice recognition technology as claimed in claim 2, wherein the scheduling model library (105) stores the scheduling model containing the key information, and the pattern matching module (103) compares the received key information with the scheduling model stored in the model scheduling library (105), and performs corresponding human-computer voice interaction and oral content output according to the key information based on the scheduling model;
the text output module (104) generates a dictation text based on the scheduling model according to the dictation output by the matching module.
4. The intelligent command system based on speech recognition technology for dispatching of claim 3, characterized in that the key information extraction module (201) extracts key information and dispatching model structure information in the spoken content text;
the model comparison and matching module (202) compares and matches key information and scheduling model structure information with stored operation order models, and sends the key information and corresponding operation order models to the content and structure mapping module (203).
5. The intelligent command system for dispatching based on voice recognition technology as claimed in claim 4, wherein the content and structure mapping module (203) populates the key information to corresponding positions on the operation ticket model;
and the operation ticket generating module (204) generates a standard operation ticket according to the operation ticket model filled with the key information.
6. The intelligent command system based on voice recognition technology for dispatching of claim 5, characterized in that the dispatcher audits and confirms the standard operation ticket through the operation ticket auditing and confirming module (301); the dispatcher operation ticket information archiving module (302) stores the confirmed standard operation tickets, and inputs and stores corresponding dispatcher information; and the operation ticket submitting module (303) submits the confirmed standard operation ticket to a corresponding execution unit.
7. The intelligent scheduling command system based on the voice recognition technology as claimed in claim 1, wherein the voice recognition system (100) further comprises a semantic analysis module, a voice control module and an integrated analysis module, and the semantic analysis module, the voice control module and the integrated analysis module are all connected with the voice signal input module (101) to realize the functions of real-time translation of voice data, voice navigation and voice retrieval.
8. The intelligent command system for dispatching based on voice recognition technology as claimed in claim 1, wherein the voice recognition system (100) further comprises a voice database, the voice database stores voice feature information corresponding to a plurality of dispatchers one by one, and the voice feature information comprises using habit information and recognition mode information.
9. The intelligent command system for dispatching based on voice recognition technology as claimed in claim 2, wherein the preprocessing comprises pre-emphasis, frame windowing and endpoint monitoring of the received voice digital signal in sequence.
10. The intelligent command system for dispatching based on voice recognition technology as claimed in claim 2, wherein the key information includes equipment parameter information, operation term information and work content information.
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Application publication date: 20200421 |