CN113593530A - Safety helmet system based on NLP technology and operation method - Google Patents
Safety helmet system based on NLP technology and operation method Download PDFInfo
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/04—Segmentation; Word boundary detection
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- A—HUMAN NECESSITIES
- A42—HEADWEAR
- A42B—HATS; HEAD COVERINGS
- A42B3/00—Helmets; Helmet covers ; Other protective head coverings
- A42B3/04—Parts, details or accessories of helmets
- A42B3/0406—Accessories for helmets
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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
- G06F16/36—Creation of semantic tools, e.g. ontology or thesauri
- G06F16/367—Ontology
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/22—Procedures used during a speech recognition process, e.g. man-machine dialogue
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- 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 provides a safety helmet system based on NLP technology and an operation method, comprising a voice recognition module, a semantic analysis module and a display module, wherein the voice recognition module is used for recognizing the voice content of a user and transmitting the recognized voice content to the semantic analysis module; the semantic analysis module is used for receiving the voice content sent by the voice recognition module, realizing word segmentation of the received voice content through an NLP technology and extracting keywords; the knowledge graph module is used for storing the standard words and comparing the keywords extracted by the semantic analysis module with the standard words; the voice broadcasting module is used for broadcasting the comparison result of the knowledge map module; the intelligent module is used for establishing connection with the server, receiving an instruction sent by the server and sending voice query information to the server; the server is used for receiving the voice query information that the intelligent module sent to intelligent module send instruction, make the technical staff can read various regulations standard fast, improve the accuracy of site operation normalization and supervision greatly, and improve on-the-spot work efficiency greatly.
Description
Technical Field
The invention relates to the technical field of safety helmets, in particular to a safety helmet system based on an NLP technology and an operation method.
Background
With the rapid development of national economy and the continuous improvement of the living standard of people, the demand of power users for electricity is increased year by year, the scale of power grid infrastructure is increased year by year, the safety and the quality of engineering are key points of the infrastructure, however, in the engineering construction, the following problems often occur: 1) during the construction of the electric power infrastructure project or the supervision and acceptance of the project, due to the fact that personnel are inexperienced or are not familiar with the regulation, construction which does not meet the regulation occurs in the construction process; 2) the electric power infrastructure project rules and specifications are large in quantity and strong in speciality, and the specifications need to be searched for in a long time; 3) under the condition of high-altitude operation, construction and supervision personnel can only work by experience and impression and cannot timely consult and master relevant regulation specifications of engineering construction; this often results in illegal actions during construction, and sometimes results in unqualified key point check results.
In-situ construction, a business expert robot is urgently needed to assist field personnel to work, and wrong or irregular construction is avoided.
Disclosure of Invention
The safety helmet system based on the NLP technology and the operation method solve the problem that in the process of electric power infrastructure supervision and acceptance, due to the fact that supervision or acceptance personnel are not familiar with various regulation specifications or are inconvenient to search, the acceptance result is not qualified, various regulation specifications can be quickly retrieved, the site construction normalization and the supervision accuracy are greatly improved, and the site work efficiency is greatly improved.
In order to achieve the purpose, the technical scheme of the invention is realized as follows:
the invention discloses a safety helmet system based on NLP technology, which comprises a voice recognition module, a semantic analysis module, a knowledge map module, a voice broadcast module, an intelligent module and a server, wherein the voice recognition module is used for recognizing voice content of a user and transmitting the recognized voice content to the semantic analysis module; the semantic analysis module is used for receiving the voice content sent by the voice recognition module, realizing word segmentation of the received voice content through an NLP technology and extracting keywords; the knowledge graph module is used for storing standard words and comparing the keywords extracted by the semantic analysis module with the standard words; the voice broadcasting module is used for broadcasting the comparison result of the knowledge map module; the intelligent module is used for establishing connection with the server, receiving an instruction sent by the server and sending voice query information to the server; the server is used for receiving the voice query information sent by the intelligent module and sending an instruction to the intelligent module.
Further, the voice recognition module is based on a smart SDK.
Furthermore, the intelligent module comprises an MCU unit, a mobile data network state unit, an http end link unit, a voice synthesis unit and a TCP/IP link unit, wherein the MCU unit is used for receiving and judging the instruction received by the intelligent module unit; the mobile data network state unit is used for detecting the state of the mobile data network in real time; the http end linking unit is used for establishing short link between the intelligent module and the http end to realize the transmission of the voice query information; the voice synthesis unit is used for converting the character result returned by the server into voice information; the TCP/IP link unit is used for establishing long link between the intelligent module and the server and acquiring the instruction issued by the server.
Furthermore, the intelligent module also comprises a local database unit for storing locally when the network state is abnormal.
The invention discloses an operation method of a safety helmet system based on NLP technology, which comprises the following steps:
the knowledge map module establishes a professional word bank and stores standard words;
wearing the safety helmet and waking up the safety helmet;
the voice recognition module recognizes the voice content of a user and transmits the recognized voice content to the semantic analysis module;
the semantic analysis module receives the voice content sent by the voice recognition module, realizes word segmentation of the received voice content through an NLP technology, and extracts keywords;
the knowledge map module compares the keywords extracted by the semantic analysis module with the standard words to obtain a comparison result;
the voice broadcasting module broadcasts the comparison result of the knowledge map module;
storing and analyzing the frequency of the keywords, and refining common problems.
The beneficial technical effects are as follows:
1. the invention discloses a safety helmet system based on NLP technology, which comprises a voice recognition module, a semantic analysis module, a knowledge map module, a voice broadcast module, an intelligent module and a server, wherein the voice recognition module is used for recognizing voice content of a user and transmitting the recognized voice content to the semantic analysis module; the semantic analysis module is used for receiving the voice content sent by the voice recognition module, realizing word segmentation of the received voice content through an NLP technology and extracting keywords; the knowledge graph module is used for storing standard words and comparing the keywords extracted by the semantic analysis module with the standard words; the voice broadcasting module is used for broadcasting the comparison result of the knowledge map module; the intelligent module is used for establishing connection with the server, receiving an instruction sent by the server and sending voice query information to the server; the server is used for receiving the voice query information sent by the intelligent module and sending an instruction to the intelligent module, so that the problem that the acceptance result is unqualified due to the fact that an administrator or an acceptance staff is not familiar with or inconvenient to search various regulation specifications in the process of electric power infrastructure supervision and acceptance is solved, various regulation specifications can be quickly reviewed, the site construction normalization and the supervision accuracy are greatly improved, and the site working efficiency is greatly improved;
2. the safety helmet is used as a safety protection device in engineering construction, and each site constructor and supervisor must wear the safety helmet system based on the NLP technology, disclosed by the invention, can realize technology enhancement and application expansion on the basis of the traditional safety helmet, so that the application value of the safety helmet is higher;
3. in the invention, the safety helmet system stores and analyzes the keyword frequency, extracts common problems, continuously enriches the power grid infrastructure engineering knowledge base, continuously improves the professional level of the safety helmet system, and continuously perfects and perfects the service capability of the safety helmet system.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description of the embodiments will be briefly described below.
Fig. 1 is a schematic structural diagram of a safety helmet system based on NLP technology according to the present invention;
fig. 2 is a schematic structural diagram of an intelligent module in a safety helmet system based on NLP technology according to the present invention;
FIG. 3 is a flow chart of the steps of a method for operating a helmet system based on NLP technology according to the present invention;
fig. 4 is a logic flow diagram of a method for operating a safety helmet system based on NLP technology according to the present invention.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
Embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The invention discloses a safety helmet system based on NLP technology on one hand, and referring to fig. 1, the safety helmet system comprises a voice recognition module, a semantic analysis module, a knowledge map module, a voice broadcast module, an intelligent module and a server, wherein the voice recognition module is used for recognizing the voice content of a user and transmitting the recognized voice content to the semantic analysis module; the semantic analysis module is used for receiving the voice content sent by the voice recognition module, realizing word segmentation of the received voice content through an NLP technology and extracting keywords; the knowledge graph module is used for storing the standard words and comparing the keywords extracted by the semantic analysis module with the standard words; the voice broadcasting module is used for broadcasting the comparison result of the knowledge map module; the intelligent module is used for establishing connection with the server, receiving an instruction sent by the server and sending voice query information to the server; the server is used for receiving voice query information sent by the intelligent module and sending instructions to the intelligent module, and technicians can quickly read various regulations and specifications as long as wearing the safety helmet system, so that the site construction normative and the supervision accuracy are greatly improved, and the site working efficiency is greatly improved.
As an embodiment of the present invention, the voice recognition module is designed based on the SDK of the messenger, and implements service function operations through a voice interaction manner.
As an embodiment of the invention, the basic software function of the intelligent module is to establish long connection with the server, acquire an instruction sent by the server, and send voice query information by short connection with http. Referring to fig. 2, the intelligent module comprises an MCU unit, a mobile data network status unit, an http end link unit, a voice synthesis unit, and a TCP/IP link unit, wherein the MCU unit is configured to receive and determine an instruction received by the intelligent module unit; the mobile data network state unit is used for detecting the state of the mobile data network in real time; the http end linking unit is used for establishing short link between the intelligent module and the http end to realize the transmission of the voice query information; the voice synthesis unit is used for converting the character result returned by the server into voice information; the TCP/IP link unit is used for establishing long link between the intelligent module and the server and acquiring the instruction issued by the server.
As an embodiment of the present invention, the intelligent module further includes a local database unit, configured to perform local storage when the network status is abnormal.
The invention discloses an operation method of a safety helmet system based on NLP technology on the other hand, referring to fig. 3, comprising the following steps:
s1: the knowledge map module establishes a professional word bank and stores standard words;
s2: wearing the safety helmet and waking up the safety helmet;
s3: the voice recognition module recognizes the voice content of a user and transmits the recognized voice content to the semantic analysis module;
s4: the semantic analysis module receives the voice content sent by the voice recognition module, realizes word segmentation of the received voice content through an NLP technology, and extracts keywords;
s5: the knowledge map module compares the keywords extracted by the semantic analysis module with the standard words to obtain a comparison result;
s6: the voice broadcasting module broadcasts the comparison result of the knowledge map module;
s7: storing and analyzing the frequency of the key words, and refining common problems.
The invention discloses a specific working process and a flow of a safety helmet system based on NLP technology, which are shown in figure 4 and specifically comprise the following steps:
the method comprises the steps of combing national network foundation construction engineering standards, specifications, service processing flows and service entities and relations among the entities, and constructing a knowledge graph in a service background;
initializing equipment, wherein field personnel wear a safety helmet and judge whether an MIC opening instruction is received or not;
the MCU unit receives and judges an MIC opening instruction;
if the instruction is judged to be the correct 'MIC opening' instruction, the MCU controls the opening of the MIC to record voice;
the voice recognition module carries out voice recognition on the recorded voice and monitors awakening words;
judging whether to call the awakening word, if so, playing ' please say ' by voice synthesis, and if not, broadcasting ' not clearly listening ' and please say again ';
monitoring instructions, and performing voice recognition on the recorded voice;
judging whether the recording is overtime, if so, feeding back the MCU unit and recovering the original state; if not, receiving the instruction;
the voice synthesis module converts the instruction voice into characters;
according to the NLP technology, a semantic analysis module divides the instruction words, identifies entities according to the part of speech and extracts keywords;
the semantic analysis module transmits the extracted keywords to a knowledge graph system, and updates the nodes of the knowledge graph and the searching frequency of the nodes;
judging whether to acquire a node corresponding to the acquired keyword or not according to the knowledge graph; if yes, voice broadcasting of the query result is carried out through voice synthesis
The process is finished and the original state is recovered;
if the node corresponding to the keyword is obtained, searching the content of the adjacent node, and broadcasting by voice, wherein the content is found for you: (neighboring nodes and contents) "
And ending the process and recovering the original state.
According to the safety helmet system based on the NLP technology, only a technician wears a safety helmet, professional technical guidance can be timely and conveniently provided for field personnel through the voice quick-retrieval standard specification, background big data analysis is performed, keywords in the voice interaction process are extracted, a power grid infrastructure engineering knowledge base is continuously enriched, and the professional level and the service capacity of a 'business expert' safety helmet are continuously improved.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above examples are only for describing the preferred embodiments of the present invention, and are not intended to limit the scope of the present invention, and various modifications and improvements made to the technical solution of the present invention by those skilled in the art without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.
Claims (5)
1. A safety helmet system based on NLP technology, comprising:
the voice recognition module is used for recognizing the voice content of a user and transmitting the recognized voice content to the semantic analysis module;
the semantic analysis module is used for receiving the voice content sent by the voice recognition module, realizing word segmentation of the received voice content through an NLP technology and extracting keywords;
the knowledge graph module is used for storing standard words and comparing the keywords extracted by the semantic analysis module with the standard words;
the voice broadcasting module is used for broadcasting the comparison result of the knowledge graph module;
the intelligent module is used for establishing connection with the server, receiving an instruction sent by the server and sending voice query information to the server;
and the server is used for receiving the voice query information sent by the intelligent module and sending an instruction to the intelligent module.
2. The NLP technology based helmet system of claim 1 wherein said speech recognition module is a smart fly SDK.
3. The NLP technology based helmet system of claim 1 wherein said smart module comprises:
the MCU unit is used for receiving and judging the instruction received by the intelligent module unit;
a mobile data network state unit for detecting the state of the mobile data network in real time;
the http end linking unit is used for establishing short link between the intelligent module and the http end to realize the transmission of the voice query information;
the voice synthesis unit is used for converting the character result returned by the server into voice information;
and the TCP/IP link unit is used for establishing long link between the intelligent module and the server and acquiring the instruction issued by the server.
4. The system of claim 3, further comprising a local database unit for storing locally when the network status is abnormal.
5. An operation method of a safety helmet system based on NLP technology is characterized by comprising the following steps:
the knowledge map module establishes a professional word bank and stores standard words;
wearing the safety helmet and waking up the safety helmet;
the voice recognition module recognizes the voice content of a user and transmits the recognized voice content to the semantic analysis module;
the semantic analysis module receives the voice content sent by the voice recognition module, realizes word segmentation of the received voice content through an NLP technology, and extracts keywords;
the knowledge map module compares the keywords extracted by the semantic analysis module with the standard words to obtain a comparison result;
the voice broadcasting module broadcasts the comparison result of the knowledge map module;
storing and analyzing the frequency of the key words, and refining common problems.
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| CN202110842316.5A CN113593530A (en) | 2021-07-26 | 2021-07-26 | Safety helmet system based on NLP technology and operation method |
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| CN202110842316.5A CN113593530A (en) | 2021-07-26 | 2021-07-26 | Safety helmet system based on NLP technology and operation method |
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Cited By (1)
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| CN116434733A (en) * | 2023-04-25 | 2023-07-14 | 深圳市中诺智联科技有限公司 | AI voice interaction processing method for intelligent safety helmet |
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