CN112820282A - Power grid dispatching system based on voice recognition and natural language processing - Google Patents
Power grid dispatching system based on voice recognition and natural language processing Download PDFInfo
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- CN112820282A CN112820282A CN202011508553.XA CN202011508553A CN112820282A CN 112820282 A CN112820282 A CN 112820282A CN 202011508553 A CN202011508553 A CN 202011508553A CN 112820282 A CN112820282 A CN 112820282A
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- 238000003058 natural language processing Methods 0.000 title claims abstract description 16
- 230000003993 interaction Effects 0.000 claims abstract description 34
- 238000005457 optimization Methods 0.000 claims abstract description 23
- 238000007405 data analysis Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000002159 abnormal effect Effects 0.000 claims abstract description 11
- 230000002452 interceptive effect Effects 0.000 claims abstract description 9
- 230000008569 process Effects 0.000 claims abstract description 8
- 238000012502 risk assessment Methods 0.000 claims description 18
- 230000005540 biological transmission Effects 0.000 claims description 14
- 238000000605 extraction Methods 0.000 claims description 3
- 230000009467 reduction Effects 0.000 claims description 3
- 238000011156 evaluation Methods 0.000 abstract description 5
- 238000010586 diagram Methods 0.000 description 4
- 239000012141 concentrate Substances 0.000 description 3
- 230000007774 longterm Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/18—Speech classification or search using natural language modelling
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/20—Speech recognition techniques specially adapted for robustness in adverse environments, e.g. in noise, of stress induced speech
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
Abstract
The invention discloses a power grid dispatching system based on voice recognition and natural language processing, which comprises a voice recognition unit, a dispatching system and a playing system, wherein the dispatching system comprises a language receiving module, a processing module I, a data acquisition module, a data analysis module, a big data module, a scheme optimization module, an interaction module I, a risk evaluation module and an alarm module, the information can be transmitted to the interactive module II through the interactive module I, the information is broadcasted by the processing module II through the broadcasting module, thereby reminding the dispatcher, the invention can collect the language instruction of the dispatcher through the language identification unit, process the language instruction and send the processed language instruction to the dispatching system, therefore, the instruction is sent to the first processing module, and the first processing module processes the abnormal information of the power grid according to the instruction, so that the workload of dispatching personnel is effectively reduced.
Description
Technical Field
The invention relates to the technical field of power grid dispatching, in particular to a power grid dispatching system based on voice recognition and natural language processing.
Background
The power grid dispatching system is a central system of a power system, can determine distribution of power load and power flow, and is related to safe and stable operation of the power system, the most important work of the power grid dispatching system is to comprehensively and intuitively display real-time operation conditions of a power grid to a dispatcher and quickly respond to various problems, the dispatcher needs to log in the power grid dispatching system, natural language generally refers to language evolving along with culture naturally, voice recognition is a task of realizing automatic conversion from natural language to characters through processing equipment, the existing dispatching system is mainly dispatched through a host, the dispatcher needs to concentrate on mind to observe power grid data so as to quickly process the conditions, and eyes can generate fatigue in the long term, so that the working efficiency is low.
Disclosure of Invention
The invention aims to provide a power grid dispatching system based on voice recognition and natural language processing, which aims to solve the problems that dispatching personnel need to concentrate on observing power grid data so as to quickly process the condition and the eyes can be fatigued in the long term, which are provided by the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: based on speech recognition and natural language processing electric wire netting dispatch system, including language identification unit, dispatch system and play system, the language identification unit includes voice acquisition module, signal processing module, decoding module, preview module, fuzzy understanding module and transmission module, the dispatch system includes language receiving module, processing module one, data acquisition module, data analysis module, big data module, scheme optimization module, interaction module one, risk assessment module and alarm module, the play system includes interaction module two, processing module two and reports the module, pass through internet of things between language identification unit, dispatch system and the play system and be connected.
Preferably, the signal processing module is connected with the voice acquisition module and the decoding module, and the fuzzy understanding module is connected with the decoding module, the rehearsal module and the transmission module.
Preferably, the voice acquisition module is one or more of a microphone and a sound pickup.
Preferably, the processing module I is connected with the language receiving module, the data acquisition module and the data analysis module, the scheme optimization module is connected with the data analysis module, the big data module and the risk assessment module, the alarm module is connected with the risk assessment module, and the interaction module I is connected with the processing module I, the data analysis module, the scheme optimization module, the risk assessment module and the alarm module.
Preferably, the processing module II is connected with the interaction module II and the broadcasting module, and the broadcasting module is a loudspeaker.
Preferably, the voice acquisition module is configured to acquire voice, the signal processing module is configured to process the voice acquired by the voice acquisition module, the decoding module is configured to decode the processed voice information, the rehearsal module stores a large amount of language information, the fuzzy understanding module is configured to match the decoded voice information with the voice information in the rehearsal module and understand the decoded voice information by using a fuzzy understanding method, and the transmission module is configured to send the understood voice information to the scheduling system.
Preferably, the processing of the voice collected by the voice collecting module by the signal processing module is one or more of noise reduction processing and feature extraction processing.
Preferably, the language receiving module is configured to receive voice information of the transmission module, the data acquisition module is configured to acquire data in the power grid and transmit the acquired data to the processing module i, one of the processing modules performs corresponding processing according to a voice instruction received by the language receiving module, the data analysis module is configured to analyze abnormal data in the power grid, the scheme optimization module is configured to optimize the abnormal data in the power grid, the big data module transmits scheme optimization information in the big data to the scheme optimization module, the risk assessment module is configured to assess a scheme optimized by the scheme optimization module, the alarm module is configured to alarm when the risk assessment module assesses a higher risk of the scheme, and the interaction module i is configured to perform alarm when the risk assessment module i, the data analysis module, the scheme optimization module, the risk assessment module i, the, And receiving the information in the alarm module and realizing data interaction with the interaction module II.
Preferably, the interactive module II is used for carrying out data interaction with the interactive module I and transmitting data to the processing module II, the processing module II transmits the data to the broadcasting module, and the broadcasting module is used for broadcasting data information for reminding.
Compared with the prior art, the invention has the beneficial effects that:
1) when the data of the power grid is abnormal, the information can be transmitted to the interaction module II through the interaction module I, and the information is broadcasted by the broadcasting module through the processing module II, so that a dispatcher can be reminded, and the dispatcher does not need to concentrate on observing the data of the power grid.
2) According to the invention, the language identification unit can collect the language instruction of the dispatcher, process the language instruction and send the processed language instruction to the dispatching system, so that the instruction is sent to the processing module I, and the processing module I processes the abnormal information of the power grid according to the instruction, so that the workload of dispatching personnel is effectively reduced.
Drawings
FIG. 1 is a logic block diagram of the system of the present invention;
FIG. 2 is a logic block diagram of a speech recognition unit according to the present invention;
FIG. 3 is a logic block diagram of a scheduling system of the present invention;
fig. 4 is a logic block diagram of the broadcast system of the present invention.
In the figure: the system comprises a language identification unit 1, a scheduling system 2, a playing system 3, a voice acquisition module 4, a signal processing module 5, a decoding module 6, a preview module 7, a fuzzy understanding module 8, a transmission module 9, a language receiving module 10, a data acquisition module 11, a processing module I12, a data analysis module 13, a big data module 14, a scheme optimization module 15, an interaction module I16, a risk assessment module 17, an alarm module 18, an interaction module II 19, a processing module II 20 and a broadcasting module 21.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments 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.
In the description of the present invention, it is to be understood that the terms "upper", "lower", "front", "rear", "left", "right", "top", "bottom", "inner", "outer", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention.
Example (b):
referring to fig. 1-4, the present invention provides a technical solution: based on speech recognition and natural language processing electric wire netting dispatch system, including language identification unit 1, dispatch system 2 and play system 3, language identification unit 1 includes voice acquisition module 4, signal processing module 5, decoding module 6, rehearsal module 7, fuzzy understanding module 8 and transmission module 9, dispatch system 2 includes language receiving module 10, processing module 12, data acquisition module 11, data analysis module 13, big data module 14, scheme optimization module 15, interaction module 16, risk evaluation module 17 and alarm module 18, play system 3 includes interaction module two 19, processing module two 20 and reports module 21, connect through the thing networking between language identification unit 1, dispatch system 2 and the play system 3.
The signal processing module 5 is connected with the voice acquisition module 4 and the decoding module 6, and the fuzzy understanding module 8 is connected with the decoding module 6, the preview module 7 and the transmission module 9.
The voice acquisition module 4 is one or more of a microphone and a sound pickup.
The processing module I12 is connected with the language receiving module 10, the data acquisition module 11 and the data analysis module 13, the scheme optimization module 15 is connected with the data analysis module 13, the big data module 14 and the risk assessment module 17, the alarm module 18 is connected with the risk assessment module 17, and the interaction module I16 is connected with the processing module I12, the data analysis module 13, the scheme optimization module 15, the risk assessment module 17 and the alarm module 18.
The second processing module 20 is connected with the second interaction module 19 and the broadcast module 21, and the broadcast module 21 is a loudspeaker.
The voice acquisition module 4 is used for acquiring voice, the signal processing module 5 is used for processing the voice acquired by the voice acquisition module 4, the decoding module 6 is used for decoding the processed voice information, a large amount of language information is stored in the rehearsal module 7, the fuzzy understanding module 8 is used for matching the decoded voice information with the voice information in the rehearsal module 7 and understanding the voice information by adopting a fuzzy understanding method, and the transmission module 9 is used for transmitting the understood voice information to the scheduling system 2.
The processing of the voice collected by the voice collecting module 4 by the signal processing module 5 is one or more of noise reduction processing and feature extraction processing.
The language receiving module 10 is configured to receive voice information of the transmission module 9, the data collecting module 11 is configured to collect data in a power grid and transmit the data to the processing module 1 12, the processing module 12 performs corresponding processing according to a voice instruction received by the language receiving module 10, the data analyzing module 13 is configured to analyze abnormal data in the power grid, the plan optimizing module 15 is configured to optimize the abnormal data in the power grid, the big data module 14 transmits plan optimizing information in the big data to the plan optimizing module 15, the risk evaluating module 17 is configured to evaluate a plan optimized by the plan optimizing module 15, the alarm module 18 is configured to alarm when the risk evaluating module 17 evaluates that a plan risk is large, and the interaction module 16 is configured to alarm when the risk evaluating module 12, the data analyzing module 13, and the processing module 12 are both, And the information in the scheme optimization module 15, the risk assessment module 17 and the alarm module 18 is received, and data interaction is realized with the interaction module II 19.
The second interactive module 19 is used for carrying out data interaction with the first interactive module 16 and transmitting data to the second processing module 20, the second processing module 20 transmits the data to the broadcast module 21, and the broadcast module 21 is used for broadcasting data information for reminding.
The working principle is as follows: the dispatcher sends out a voice instruction, the voice acquisition module 4 is used for acquiring voice, the signal processing module 5 is used for processing the voice acquired by the voice acquisition module 4, the decoding module 6 is used for decoding the processed voice information, a large amount of language information is stored in the preview module 7, the fuzzy understanding module 8 is used for matching the decoded voice information with the voice information in the preview module 7 and understanding the voice information by adopting a fuzzy understanding method, the transmission module 9 is used for sending the understood voice instruction to the dispatching system 2, the data acquisition module 11 is used for acquiring data in the power grid and transmitting the data to the processing module 12, the processing module 12 performs corresponding processing according to the voice instruction received by the language receiving module 10, the data analysis module 13 is used for analyzing abnormal data in the power grid, and the scheme optimization module 15 is used for optimizing the abnormal data in the power grid, the big data module 14 transmits scheme optimization information in big data to the scheme optimization module 15, the risk evaluation module 17 is used for evaluating a scheme optimized by the scheme optimization module 15, the alarm module 18 is used for giving an alarm when the risk evaluation module 17 evaluates that the scheme has a high risk, the interaction module I16 is used for receiving information in the processing module I12, the data analysis module 13, the scheme optimization module 15, the risk evaluation module 17 and the alarm module 18 and realizing data interaction with the interaction module II 19, the interaction module II 19 is used for carrying out data interaction with the interaction module I16 and transmitting data to the processing module II 20, the processing module II 20 transmits the data to the broadcast module 21, and the broadcast module 21 is used for prompting the data information.
While there have been shown and described the fundamental principles and essential features of the invention and advantages thereof, it will be apparent to those skilled in the art that the invention 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 invention 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, and any reference signs in the claims are not intended to be construed as limiting the claim concerned.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (9)
1. Based on speech recognition and natural language processing electric wire netting dispatch system, including language identification unit (1), dispatch system (2) and play system (3), its characterized in that: the language identification unit (1) comprises a voice acquisition module (4), a signal processing module (5), a decoding module (6), a rehearsal module (7), a fuzzy understanding module (8) and a transmission module (9), the scheduling system (2) comprises a language receiving module (10), a processing module I (12), a data acquisition module (11), a data analysis module (13), a big data module (14), a scheme optimization module (15), an interaction module I (16), a risk assessment module (17) and an alarm module (18), the playing system (3) comprises an interaction module II (19), a processing module II (20) and a broadcasting module (21), and the language identification unit (1), the scheduling system (2) and the playing system (3) are connected through a network.
2. The power grid dispatching system based on speech recognition and natural language processing of claim 1, wherein: the signal processing module (5) is respectively connected with the voice acquisition module (4) and the decoding module (6), and the fuzzy understanding module (8) is respectively connected with the decoding module (6), the rehearsal module (7) and the transmission module (9).
3. The power grid dispatching system based on speech recognition and natural language processing of claim 2, wherein: the voice acquisition module (4) is one or more of a microphone and a sound pickup.
4. The power grid dispatching system based on speech recognition and natural language processing of claim 1, wherein: the system comprises a processing module I (12), a language receiving module (10), a data acquisition module (11) and a data analysis module (13), a scheme optimization module (15) is connected with the data analysis module (13), a big data module (14) and a risk assessment module (17), an alarm module (18) is connected with the risk assessment module (17), and an interaction module I (16) is connected with the processing module I (12), the data analysis module (13), the scheme optimization module (15), the risk assessment module (17) and the alarm module (18) respectively.
5. The power grid dispatching system based on speech recognition and natural language processing of claim 1, wherein: processing module two (20) and interactive module two (19), report module (21) and be connected, report module (21) for the speaker.
6. The power grid dispatching system based on speech recognition and natural language processing of claim 1, wherein: the voice acquisition module (4) is used for acquiring voice, the signal processing module (5) is used for processing the voice acquired by the voice acquisition module (4), the decoding module (6) is used for decoding the processed voice information, a large amount of language information is stored in the preview module (7), the fuzzy understanding module (8) is used for matching the decoded voice information with the voice information in the preview module (7) and understanding by adopting a fuzzy understanding method, and the transmission module (9) is used for transmitting the understood voice information to the scheduling system (2).
7. The power grid dispatching system based on speech recognition and natural language processing of claim 6, wherein: the signal processing module (5) processes the voice collected by the voice collecting module (4) into one or more of noise reduction processing and feature extraction processing.
8. The power grid dispatching system based on speech recognition and natural language processing of claim 1, wherein: the language receiving module (10) is used for receiving voice information of the transmission module (9), the data collecting module (11) is used for collecting data in a power grid and transmitting the data to the processing module I (12), the processing module I (12) performs corresponding processing according to a voice instruction received by the language receiving module (10), the data analyzing module (13) is used for analyzing abnormal data in the power grid, the scheme optimizing module (15) is used for optimizing the abnormal data in the power grid, the big data module (14) transmits scheme optimizing information in big data to the scheme optimizing module (15), the risk evaluating module (17) is used for evaluating a scheme optimized by the scheme optimizing module (15), and the alarm module (18) is used for giving an alarm when the risk evaluating module (17) evaluates that the scheme has a high risk, the interaction module I (16) is used for receiving the information in the processing module I (12), the data analysis module (13), the scheme optimization module (15), the risk assessment module (17) and the alarm module (18) and realizing data interaction with the interaction module II (19).
9. The power grid dispatching system based on speech recognition and natural language processing of claim 1, wherein: the interactive module II (19) is used for carrying out data interaction with the interactive module I (16) and transmitting data to the processing module II (20), the processing module II (20) transmits the data to the broadcasting module (21), and the broadcasting module (21) is used for broadcasting data information for reminding.
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