CN117668204A - Intelligent question-answering system, method, equipment and medium of emergency management platform - Google Patents
Intelligent question-answering system, method, equipment and medium of emergency management platform Download PDFInfo
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Abstract
The application provides an intelligent question-answering system, method, equipment and medium of an emergency management platform, comprising the following steps: the multi-mode front end interaction module is used for carrying out information processing on input information of a user and generating target question information; the intention analysis module is used for analyzing and processing the target question information based on a natural language processing technology, determining intention information of the target question information and determining at least one keyword of the target question information based on the intention information; the data searching module is used for determining a target execution unit corresponding to the keyword based on the attribute information of the keyword so that the target execution unit determines answer information based on the keyword; the data integration module is used for integrating the data of the answer information and generating target answer information corresponding to the target question information, so that the efficiency and accuracy of emergency response are greatly improved, and more comprehensive emergency information is provided.
Description
Technical Field
The application relates to the technical field of computer processing, in particular to an intelligent question-answering system, method, equipment and medium of an emergency management platform.
Background
The emergency management platform mainly relies on a keyboard and a mouse as an interface for human-computer interaction in the prior art, and the interaction mode can be unsatisfactory in emergency or high-pressure situations although the interaction mode can meet the requirements in most cases. Conventional operator interfaces often require users to obtain the necessary information or execute specific instructions through multiple levels of menus and complex command inputs, which undoubtedly increases time costs and operational complexity. Especially in emergency managed high pressure environments, each second may affect the handling results, and thus a more efficient, intuitive and flexible way of interaction is needed. How to improve the efficiency and accuracy of emergency response of an emergency management platform has become a non-trivial technical problem.
Disclosure of Invention
In view of this, the present application aims to provide an intelligent question-answering system, method, device and medium of an emergency management platform, which can quickly obtain answer information through interaction between a user and a multi-mode front-end interaction module, so as to greatly improve efficiency and accuracy of emergency response, analyze target question information of the user to determine a target execution unit corresponding to a keyword, and determine the answer information so as to provide more comprehensive emergency information.
The embodiment of the application provides an intelligent question-answering system of an emergency management platform, which comprises a multi-mode front-end interaction module, an intention analysis module, a data searching module and a data integration module, wherein the data searching module also comprises a knowledge graph unit, a business data storage unit and a functional instruction scheduling unit; the multi-mode front end interaction module is in communication connection with the intention analysis module, and the data searching module is in communication connection with the intention analysis module and the data integration module respectively; wherein,
the multi-mode front-end interaction module is used for carrying out information processing on input information of a user, generating target question information and sending the target question information to the intention analysis module;
the intention analysis module is used for analyzing and processing the target questioning information based on a natural language processing technology, determining intention information of the target questioning information, determining at least one keyword of the target questioning information based on the intention information, and sending each keyword to the data searching module;
the data searching module is used for determining a target execution unit corresponding to the keyword from the knowledge graph unit, the business data storage unit and the functional instruction scheduling unit based on the attribute information of the keyword, so that the target execution unit determines answer information based on the keyword and sends the answer information to the data integrating module;
And the data integration module is used for integrating the data of the answer information and generating target answer information corresponding to the target question information.
In one possible implementation, the intelligent question-answering system further comprises an information display module, wherein the information display module is in communication connection with the data integration module; wherein,
the information display module is used for displaying characters and broadcasting voice of the target answer information after receiving the target answer information corresponding to the target question information sent by the data integration module, if the target answer information is text information, displaying a function card corresponding to the function instruction information if the target answer information is the function instruction information, so that clicking the function card enters an interactive interface, and broadcasting voice of contents on the function card.
In one possible implementation manner, when the data searching module is used for determining the target execution unit corresponding to the keyword from the knowledge graph unit, the service data storage unit and the function instruction scheduling unit based on the attribute information of the keyword, the data searching module is specifically configured to:
If the attribute information of the keywords is knowledge attribute information, determining that a target execution unit corresponding to the keywords is the knowledge graph unit;
if the attribute information of the keywords is business attribute information, determining that a target execution unit corresponding to the keywords is the business data storage unit;
and if the attribute information of the keywords is the functional instruction attribute information, determining that the target execution units corresponding to the keywords are the functional instruction scheduling units.
In one possible implementation manner, the knowledge-graph unit is configured to:
searching in a preset knowledge graph based on the keywords, and determining answer information corresponding to the keywords.
In one possible implementation, the service data storage unit is configured to:
searching in a preset service database based on the keywords, and determining answer information corresponding to the keywords.
In one possible implementation, the functional instruction scheduling unit is configured to:
determining function instruction information corresponding to the keywords based on the keywords, calling an API interface corresponding to the function instruction information, and sending the keywords to an external service unit corresponding to the function instruction information based on the API interface so that the external service unit determines answer information of the keywords based on the keywords; the functional instruction information comprises a weather forecast functional instruction, a typhoon path tracking functional instruction, an earthquake information functional instruction and a geographic positioning functional instruction.
In one possible implementation, the intelligent question-answering system further includes:
the intention analysis module is used for extracting keywords of the open treatment scheme instruction input by the user and sent by the multi-mode front-end interaction module, determining keywords corresponding to the open treatment scheme instruction, and sending the keywords to the knowledge graph unit and the business data storage unit;
the knowledge graph unit is used for searching in a preset knowledge graph based on the keywords and determining graph data corresponding to the keywords;
the business data storage unit is used for searching in a preset business database based on the keywords and determining video monitoring data, internet of things sensing data, enterprise business data and scheme information templates corresponding to the keywords;
the data integration module is used for automatically summarizing and integrating the received map data, the video monitoring data, the internet of things perception data and the enterprise business data based on the scheme information template to generate a target treatment scheme corresponding to the treatment scheme opening instruction;
The information display module is used for displaying the received target treatment scheme in a popup window mode after the target treatment scheme is received.
In one possible implementation, the intelligent question-answering system further includes:
the intention analysis module is used for determining the keywords of the target question information, and if the content information of the keywords is video information, the keywords are directly sent to the function instruction scheduling unit;
the function instruction scheduling unit is used for determining video monitoring data corresponding to the keywords based on a data interface and sending the video monitoring data to the data integration module;
and the data integration module is used for integrating the video monitoring data with a preset answer template to generate target answer information corresponding to the target question information.
The embodiment of the application also provides an intelligent question-answering method of the emergency management platform, which comprises the following steps:
information processing is carried out on the input information of the user, and target question information is generated;
analyzing and processing the target question information based on a natural language processing technology, determining intention information of the target question information, and determining at least one keyword of the target question information based on the intention information;
Determining a target execution unit corresponding to the keyword from a knowledge graph unit, a business data storage unit and a function instruction scheduling unit based on attribute information of the keyword, so that the target execution unit determines answer information based on the keyword;
and carrying out data integration on the answer information to generate target answer information corresponding to the target question information.
The embodiment of the application also provides electronic equipment, which comprises: the system comprises a processor, a memory and a bus, wherein the memory stores machine-readable instructions executable by the processor, the processor and the memory are communicated through the bus when the electronic device runs, and the machine-readable instructions are executed by the processor to execute the steps of the intelligent question-answering method of the emergency management platform.
Embodiments of the present application also provide a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the intelligent question-answering method of an emergency management platform as described above.
The embodiment of the application provides an intelligent question-answering system, method, equipment and medium of an emergency management platform, wherein the intelligent question-answering system comprises a multi-mode front-end interaction module, an intention analysis module, a data searching module and a data integration module, and the data searching module further comprises a knowledge graph unit, a business data storage unit and a functional instruction scheduling unit; the multi-mode front end interaction module is in communication connection with the intention analysis module, and the data searching module is in communication connection with the intention analysis module and the data integration module respectively; the multi-mode front end interaction module is used for carrying out information processing on input information of a user, generating target question information and sending the target question information to the intention analysis module; the intention analysis module is used for analyzing and processing the target questioning information based on a natural language processing technology, determining intention information of the target questioning information, determining at least one keyword of the target questioning information based on the intention information, and sending each keyword to the data searching module; the data searching module is used for determining a target execution unit corresponding to the keyword from the knowledge graph unit, the business data storage unit and the functional instruction scheduling unit based on the attribute information of the keyword, so that the target execution unit determines answer information based on the keyword and sends the answer information to the data integrating module; and the data integration module is used for integrating the data of the answer information and generating target answer information corresponding to the target question information. The answer information is quickly obtained through the interaction between the user and the multi-mode front-end interaction module, so that the efficiency and accuracy of emergency response are greatly improved, the target question information of the user is analyzed to determine the target execution unit corresponding to the keyword, and the target execution unit determines the answer information to provide more comprehensive emergency information.
In order to make the above objects, features and advantages of the present application more comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered limiting the scope, and that other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic structural diagram of an intelligent question-answering system of an emergency management platform according to an embodiment of the present application;
FIG. 2 is a second schematic structural diagram of an intelligent question-answering system of an emergency management platform according to an embodiment of the present disclosure;
fig. 3 is an interface display schematic diagram of an information display module according to an embodiment of the present disclosure;
fig. 4 is a flow chart of an intelligent question-answering method of an emergency management platform according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Icon: 100-an intelligent question-answering system of an emergency management platform; 110-a multi-modal front end interaction module; 120-an intent analysis module; 130-a data lookup module; 131, a knowledge graph unit; 132-a service data storage unit; 133-a functional instruction dispatch unit; 140-a data integration module; 150-an information display module; 500-an electronic device; 510-a processor; 520-memory; 530-bus.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more clear, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it should be understood that the accompanying drawings in the present application are only for the purpose of illustration and description, and are not intended to limit the protection scope of the present application. In addition, it should be understood that the schematic drawings are not drawn to scale. A flowchart, as used in this application, illustrates operations implemented according to some embodiments of the present application. It should be appreciated that the operations of the flow diagrams may be implemented out of order and that steps without logical context may be performed in reverse order or concurrently. Moreover, one or more other operations may be added to the flow diagrams and one or more operations may be removed from the flow diagrams as directed by those skilled in the art.
In addition, the described embodiments are only some, but not all, of the embodiments of the present application. The components of the embodiments of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, as provided in the accompanying drawings, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present application without making any inventive effort, are intended to be within the scope of the present application.
In order to enable those skilled in the art to use the present application, the following embodiments are provided in connection with a specific application scenario "intelligent question-answering to an emergency management platform", and the general principles defined herein may be applied to other embodiments and application scenarios by those skilled in the art without departing from the spirit and scope of the present application.
First, application scenarios applicable to the present application will be described. The method and the device can be applied to the technical field of computer processing.
It has been found that, in the prior art, an emergency management platform mainly relies on a keyboard and a mouse as an interface for man-machine interaction, and this interaction mode, although meeting the requirements in most cases, may not be satisfactory in emergency or high-voltage situations. Conventional operator interfaces often require users to obtain the necessary information or execute specific instructions through multiple levels of menus and complex command inputs, which undoubtedly increases time costs and operational complexity. Especially in emergency managed high pressure environments, each second may affect the handling results, and thus a more efficient, intuitive and flexible way of interaction is needed. How to improve the efficiency and accuracy of emergency response of an emergency management platform has become a non-trivial technical problem.
Based on the above, the embodiment of the application provides an intelligent question-answering system of an emergency management platform, which can quickly acquire answer information through interaction between a user and a multi-mode front-end interaction module, so that the efficiency and accuracy of emergency response are greatly improved, target question information of the user is analyzed to determine a target execution unit corresponding to a keyword, and the target execution unit determines the answer information to provide more comprehensive emergency information.
Referring to fig. 1, fig. 1 is a schematic structural diagram of an intelligent question-answering system 100 of an emergency management platform according to an embodiment of the present application. As shown in fig. 1, the intelligent question-answering system 100 of the emergency management platform provided in the embodiment of the present application includes a multi-mode front-end interaction module 110, an intent analysis module 120, a data search module 130, and a data integration module 140, where the data search module 130 further includes a knowledge graph unit 131, a service data storage unit 132, and a function instruction scheduling unit 133; the multi-mode front-end interaction module 110 is in communication connection with the intent analysis module 120, and the data search module 130 is in communication connection with the intent analysis module 120 and the data integration module 140, respectively.
Specifically, the multi-mode front end interaction module 110 is configured to perform information processing on input information of a user, generate target question information, and send the target question information to the intent analysis module 120; the intent analysis module 120 is configured to analyze and process the target question information based on a natural language processing technology, determine intent information of the target question information, determine at least one keyword of the target question information based on the intent information, and send each keyword to the data search module 130; the data searching module 130 is configured to determine, based on attribute information of the keyword, a target execution unit corresponding to the keyword from the knowledge graph unit 131, the service data storage unit 132, and the function instruction scheduling unit 133, so that the target execution unit determines answer information based on the keyword, and sends the answer information to the data integrating module 140; the data integration module 140 is configured to integrate the data of the answer information, and generate target answer information corresponding to the target question information.
Here, the multi-mode front-end interaction module 110 is configured to receive an input from a user, where two interaction modes of text and voice may be supported. In the text interaction process, a keyboard and a mouse can be used for inputting questioning or instruction information. In the voice interaction process, the multi-mode front-end interaction module 110 invokes a voice recognition service to convert voice input of a user into text data in real time, and further forms a text of a question in a chat interface to obtain target question information. The target question information may be question data, question business data, question weather information, and other questions.
In the scheme, the system can rapidly analyze the user requirements under emergency by using voice recognition and Natural Language Processing (NLP) technology, so that the speed and the efficiency of emergency response are greatly improved. Through voice interaction, a user does not need to navigate through a complex interface or a multi-level menu, so that the operation is more visual and convenient.
Among them, the intention analysis module 120 performs deep analysis on target question information presented by a user through Natural Language Processing (NLP) technology and large model technology to recognize a specific intention thereof. And determining at least one keyword of the target question information according to the analysis result, and preparing for subsequent data retrieval and information provision. The prior art means of how to perform deep analysis on the target question information in the natural language processing technology can be realized, and this part will not be described in detail.
The data searching module 130 determines a target execution unit corresponding to the keyword from the knowledge graph unit 131, the service data storage unit 132 and the function instruction scheduling unit 133 according to the attribute information of the keyword. The attribute information of the keywords comprises knowledge attribute information, business attribute information and function instruction attribute information, wherein the keywords of the knowledge attribute information comprise professional knowledge keywords related to natural disasters and safety production, such as 'chloroethylene', the keywords of the business attribute information comprise other related keywords of organizations, emergency materials and the like, and the keywords of the function instruction attribute information comprise other keywords with scheduling instructions, such as 'weather', 'map', and the like.
In a possible implementation manner, when the data searching module 130 is configured to determine, from the knowledge graph unit 131, the service data storage unit 132, and the function instruction scheduling unit 133, the target execution unit corresponding to the keyword based on the attribute information of the keyword, the data searching module 130 is specifically configured to:
if the attribute information of the keyword is knowledge attribute information, determining that the target execution unit corresponding to the keyword is the knowledge graph unit 131; if the attribute information of the keyword is service attribute information, determining that the target execution unit corresponding to the keyword is the service data storage unit 132; if the attribute information of the keyword is functional instruction attribute information, it is determined that the target execution unit corresponding to the keyword is the functional instruction scheduling unit 133.
Here, if the attribute information of the keyword is knowledge attribute information, it is determined that the target execution unit corresponding to the keyword is a knowledge graph unit 131; if the attribute information of the keywords is service attribute information, determining that the target execution unit corresponding to the keywords is a service data storage unit 132; if the attribute information of the keyword is the functional instruction attribute information, it is determined that the target execution unit corresponding to the keyword is the functional instruction scheduling unit 133.
In one possible implementation manner, the knowledge-graph unit 131 is configured to: searching in a preset knowledge graph based on the keywords, and determining answer information corresponding to the keywords.
Here, the knowledge-graph unit 131 performs a search in a preset knowledge graph according to the keyword, and determines answer information corresponding to the keyword. In the knowledge graph unit 131, a comprehensive knowledge graph is included, in which rich data and knowledge related to a specific business and domain are stored. The knowledge graph is designed to respond to the keywords and provide data corresponding to the keywords.
In a specific embodiment, the knowledge-graph unit 131 stores MSDS data of dangerous chemicals, such as physical properties, chemical properties, dangerous properties, leakage treatment measures, etc., of vinyl chloride, which are stored in the attribute part of the knowledge-graph node "vinyl chloride". When a user asks for the dangerous characteristic of vinyl chloride through the multi-mode front end interaction module 110, the intent analysis module 120 extracts the keywords of vinyl chloride and dangerous characteristic, searches the keyword in the knowledge graph unit 131 to obtain the entity of vinyl chloride and the entity attribute of dangerous characteristic, combusts the attribute value, and can form explosive mixture by mixing with air, and the dangerous of combustion and explosion occurs when the user encounters a heat source and an open flame. When burning or no inhibitor, violent polymerization can occur, steam is heavier than air, and can be spread to a quite far place at a lower place, and the answer information of the fire back combustion can happen when a fire source is encountered. The answer information is returned to the data integration module 140, and the data integration module 140 performs data integration on the answer information to generate target answer information corresponding to the question information.
In this scheme, the built-in knowledge graph unit 131 and the business data storage unit 132 ensure the accuracy of information retrieval, and meanwhile, the system can call various external services (such as weather, typhoon paths and other services) to provide more comprehensive emergency information.
In one possible implementation, the service data storage unit 132 is configured to: searching in a preset service database based on the keywords, and determining answer information corresponding to the keywords.
Here, the service data storage unit 132 is configured to search a preset service database according to the keyword, and determine answer information corresponding to the keyword. The business data storage unit 132 is used to store the perceived data collected in real time as well as static data of the business or other business premises. These data may be invoked when needed to support more accurate and personalized information provision.
In a specific embodiment, in a flood and drought disaster scenario, the data of the emergency materials belong to service data, and are stored in the service data storage unit 132, and when a user asks for a "flying crane town emergency material situation" through the multi-mode front end interaction module 110, the intent analysis module 120 extracts keywords "flying crane town", "emergency material", and searches in the service database of the service data storage unit 132 to obtain a "disaster relief tent (roof): 60"," rubber boat (holder): 2"," lifeboat (vessel): 1"," life jacket (piece): 380"," life buoy(s): 60"," pump (table): 2"," generator (stand): 1", the information is returned to the data integration module 140, and the data integration module 140 performs data integration on the information to generate target answer information corresponding to the question information.
In one possible implementation, the functional instruction scheduling unit 133 is configured to:
determining function instruction information corresponding to the keywords based on the keywords, calling an API interface corresponding to the function instruction information, and sending the keywords to an external service unit corresponding to the function instruction information based on the API interface so that the external service unit determines answer information of the keywords based on the keywords; the functional instruction information comprises a weather forecast functional instruction, a typhoon path tracking functional instruction, an earthquake information functional instruction and a geographic positioning functional instruction.
Here, the function instruction information corresponding to the keyword is determined according to the keyword, an API interface corresponding to the function instruction information is called, and the keyword is sent to an external service unit corresponding to the function instruction information through the API interface, so that the external service unit determines answer information of the keyword according to the keyword.
Further, referring to fig. 2, fig. 2 is a second schematic structural diagram of an intelligent question-answering system 100 of an emergency management platform according to an embodiment of the present application. As shown in fig. 2, the intelligent question-answering system 100 of the emergency management platform further includes an information display module 150, and the information display module 150 is communicatively connected to the data integration module 140.
Specifically, the information display module 150 is configured to, after receiving the target answer information corresponding to the target question information sent by the data integration module 140, perform text display and voice broadcast on the target answer information if the target answer information is text information, and display a function card corresponding to the function instruction information if the target answer information is the function instruction information, so that clicking the function card enters an interactive interface, and perform voice broadcast on content on the function card.
Here, the information presentation module 150 presents the response generated by the data integration module 140 in an intuitive manner using an advanced front-end presentation technique, so that a user can easily acquire and understand desired information. When the front end is displayed as characters, the characters can be displayed and voice broadcasting can be carried out. When the front end needs to display the scheduled function instruction, a function card with a corresponding function is displayed, the card can click an interactive interface entering the corresponding function, and voice broadcasting is carried out on the content on the function card.
Further, referring to fig. 3, fig. 3 is a schematic diagram illustrating an interface of the information display module 150 according to an embodiment of the present application. As shown in fig. 3, when the user asks "guangzhou weather" at the multi-mode front-end interaction module 110, the intent analysis module 120 extracts keywords "weather", "guangzhou weather", and invokes the external API interface of the weather service in the function instruction scheduling unit 133, and transmits location information data "guangzhou weather", the weather service returns data such as air temperature, wind direction, wind speed, humidity, etc. of guangzhou, and the data integration module 140 combines the weather data in a manner of weather display templates, and the information display module 150 displays and voice broadcasts the weather information data at the front end in a manner of information cards, where the display contents are: temperature information, visibility information, weather conditions, and temperature sensing information.
In a specific embodiment, when the user asks the "southern sand area map in guangzhou city" at the multi-mode front-end interaction module 110, the intent analysis module 120 extracts the keywords "map" and "southern sand area in guangzhou city", and invokes the external API interface of the map service in the function command scheduling unit 133, and transmits the location information data "southern sand area in guangzhou city", the map service returns to the southern sand area map data in guangzhou city, the data integration module 140 integrates the answer information and the map data, and the information display module 150 displays and voice broadcasts the map information data by means of an information card. When the user clicks the map card, a map popup window can appear, and interactive operations such as zooming in, zooming out, dragging and the like can be performed.
Here, the typhoon path tracking function instruction and the seismic information function instruction are consistent with the scheduling manner of the geographic positioning function instruction, and this part will not be described in detail.
Further, the intelligent question-answering system 100 of the emergency management platform further includes:
the intent analysis module 120 is configured to extract keywords from the open treatment plan instruction input by the user and sent by the multi-mode front-end interaction module 110, determine keywords corresponding to the open treatment plan instruction, and send the keywords to the knowledge graph unit 131 and the service data storage unit 132; the knowledge graph unit 131 is configured to search in a preset knowledge graph based on the keyword, and determine graph data corresponding to the keyword; the service data storage unit 132 is configured to search in a preset service database based on the keyword, and determine video monitoring data, internet of things sensing data, enterprise service data and a scheme information template corresponding to the keyword; the data integration module 140 is configured to automatically integrate the received map data, the video monitoring data, the internet of things sensing data, and the enterprise business data based on the scheme information template, and generate a target treatment scheme corresponding to the open treatment scheme instruction; the information display module 150 displays the received target treatment plan in a popup window manner.
Here, in the safety production scenario, the emergency management platform interface issues an alarm, the user issues an instruction of "opening a treatment scheme" through the multi-mode front-end interaction module 110, the intention analysis module 120 extracts a keyword "treatment scheme", the knowledge graph unit 131 schedules graph data such as a plan knowledge graph, a hazardous chemical substance MSDS graph, a disaster chain graph, and the like, the service data storage unit 132 schedules data such as video monitoring data, AIOT sensing data, enterprise service data, and the like, and a scheme information template, the data integration module 140 integrates the data according to the treatment scheme information template, and the information display module 150 displays the received target treatment scheme in a popup window manner after the received target treatment scheme.
In one possible implementation, the intelligent question-answering system 100 of the emergency management platform further includes:
the intent analysis module 120 is configured to determine the keyword of the target question information, and if the content information of the keyword is video information, send the keyword directly to the function instruction scheduling unit 133; the function instruction scheduling unit 133 is configured to determine video monitoring data corresponding to the keyword based on a data interface, and send the video monitoring data to the data integration module 140; the data integration module 140 is configured to integrate the video monitoring data with a preset answer template to generate target answer information corresponding to the target question information.
Here, when the user asks the multi-mode front-end interaction module 110 for "open production area video", the intent analysis module 120 extracts keywords "video", "production area", the function command scheduling unit 133 schedules the data interface, returns production area monitoring data, and the data integration module 140 integrates the preset answer template and the video data to generate target answer information corresponding to the question information.
The intelligent question-answering system of the emergency management platform comprises a multi-mode front-end interaction module, an intention analysis module, a data searching module and a data integration module, wherein the data searching module further comprises a knowledge graph unit, a business data storage unit and a functional instruction scheduling unit; the multi-mode front end interaction module is in communication connection with the intention analysis module, and the data searching module is in communication connection with the intention analysis module and the data integration module respectively; the multi-mode front end interaction module is used for carrying out information processing on input information of a user, generating target question information and sending the target question information to the intention analysis module; the intention analysis module is used for analyzing and processing the target questioning information based on a natural language processing technology, determining intention information of the target questioning information, determining at least one keyword of the target questioning information based on the intention information, and sending each keyword to the data searching module; the data searching module is used for determining a target execution unit corresponding to the keyword from the knowledge graph unit, the business data storage unit and the functional instruction scheduling unit based on the attribute information of the keyword, so that the target execution unit determines answer information based on the keyword and sends the answer information to the data integrating module; and the data integration module is used for integrating the data of the answer information and generating target answer information corresponding to the target question information. The answer information is quickly obtained through the interaction between the user and the multi-mode front-end interaction module, so that the efficiency and accuracy of emergency response are greatly improved, the target question information of the user is analyzed to determine the target execution unit corresponding to the keyword, and the target execution unit determines the answer information to provide more comprehensive emergency information.
Referring to fig. 4, fig. 4 is a flow chart of an intelligent question-answering method of an emergency management platform according to an embodiment of the present application. As shown in fig. 4, the intelligent question-answering method provided in the embodiment of the present application includes:
s401: and processing the input information of the user to generate target question information.
In this step, information processing is performed on the input information of the user, and target question information is generated.
S402: analyzing and processing the target question information based on a natural language processing technology, determining intention information of the target question information, and determining at least one keyword of the target question information based on the intention information.
In the step, target questioning information is analyzed and processed according to a natural language processing technology, intention information of the target questioning information is determined, and at least one keyword of the target questioning information is determined according to the intention information.
S403: and determining a target execution unit corresponding to the keyword from a knowledge graph unit, a business data storage unit and a function instruction scheduling unit based on the attribute information of the keyword, so that the target execution unit determines answer information based on the keyword.
In the step, a target execution unit corresponding to the keyword is determined among a knowledge graph unit, a business data storage unit and a function instruction scheduling unit according to attribute information of the keyword, so that the target execution unit determines answer information according to the keyword.
S404: and carrying out data integration on the answer information to generate target answer information corresponding to the target question information.
In the step, data integration is carried out on the answer information, and target answer information corresponding to the target question information is generated.
In one possible implementation manner, the intelligent question-answering method further comprises:
the information display module is used for displaying characters and broadcasting voice of the target answer information after receiving the target answer information corresponding to the target question information sent by the data integration module, if the target answer information is text information, displaying a function card corresponding to the function instruction information if the target answer information is the function instruction information, so that clicking the function card enters an interactive interface, and broadcasting voice of contents on the function card.
In one possible implementation manner, the determining, based on the attribute information of the keyword, the target execution unit corresponding to the keyword among the knowledge graph unit, the service data storage unit and the function instruction scheduling unit includes:
If the attribute information of the keywords is knowledge attribute information, determining that a target execution unit corresponding to the keywords is the knowledge graph unit;
if the attribute information of the keywords is business attribute information, determining that a target execution unit corresponding to the keywords is the business data storage unit;
and if the attribute information of the keywords is the functional instruction attribute information, determining that the target execution units corresponding to the keywords are the functional instruction scheduling units.
In one possible implementation manner, the intelligent question-answering method further comprises:
searching in a preset knowledge graph based on the keywords, and determining answer information corresponding to the keywords.
In one possible implementation manner, the intelligent question-answering method further comprises:
searching in a preset service database based on the keywords, and determining answer information corresponding to the keywords.
In one possible implementation manner, the intelligent question-answering method further comprises:
determining function instruction information corresponding to the keywords based on the keywords, calling an API interface corresponding to the function instruction information, and sending the keywords to an external service unit corresponding to the function instruction information based on the API interface so that the external service unit determines answer information of the keywords based on the keywords; the functional instruction information comprises a weather forecast functional instruction, a typhoon path tracking functional instruction, an earthquake information functional instruction and a geographic positioning functional instruction.
In one possible implementation manner, the intelligent question-answering method further comprises:
the intention analysis module is controlled to extract keywords of the open treatment scheme instruction input by the user and sent by the multi-mode front-end interaction module, keywords corresponding to the open treatment scheme instruction are determined, and the keywords are sent to the knowledge graph unit and the business data storage unit;
controlling the knowledge graph unit to search in a preset knowledge graph based on the keywords, and determining graph data corresponding to the keywords;
the business data storage unit is controlled to search in a preset business database based on the keywords, and video monitoring data, internet of things sensing data, enterprise business data and scheme information templates corresponding to the keywords are determined;
controlling the data integration module to automatically collect and integrate the received map data, the video monitoring data, the Internet of things perception data and the enterprise business data based on the scheme information template, and generating a target treatment scheme corresponding to the treatment scheme opening instruction;
After controlling the information display module to display the received target treatment scheme, displaying the target treatment scheme in a popup window mode.
In one possible implementation manner, the intelligent question-answering method further comprises:
controlling the intention analysis module to determine the keywords of the target questioning information, and if the content information of the keywords is video information, directly sending the keywords to the function instruction scheduling unit;
controlling the function instruction scheduling unit to determine video monitoring data corresponding to the keywords based on a data interface, and sending the video monitoring data to the data integration module;
and controlling the data integration module to integrate the video monitoring data with a preset answer template, and generating target answer information corresponding to the target question information.
The intelligent question-answering method of the emergency management platform provided by the embodiment of the application comprises the following steps: information processing is carried out on the input information of the user, and target question information is generated; analyzing and processing the target question information based on a natural language processing technology, determining intention information of the target question information, and determining at least one keyword of the target question information based on the intention information; determining a target execution unit corresponding to the keyword from a knowledge graph unit, a business data storage unit and a function instruction scheduling unit based on attribute information of the keyword, so that the target execution unit determines answer information based on the keyword; and carrying out data integration on the answer information to generate target answer information corresponding to the target question information. The answer information is quickly obtained through the interaction between the user and the multi-mode front-end interaction module, so that the efficiency and accuracy of emergency response are greatly improved, the target question information of the user is analyzed to determine the target execution unit corresponding to the keyword, and the target execution unit determines the answer information to provide more comprehensive emergency information.
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 5, the electronic device 500 includes a processor 510, a memory 520, and a bus 530.
The memory 520 stores machine-readable instructions executable by the processor 510, and when the electronic device 500 is running, the processor 510 communicates with the memory 520 through the bus 530, and when the machine-readable instructions are executed by the processor 510, the steps of the intelligent question-answering method of the emergency management platform in the method embodiment shown in fig. 4 can be executed, and detailed implementation manner can be referred to the method embodiment and will not be repeated herein.
The embodiment of the present application further provides a computer readable storage medium, where a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the intelligent question-answering method of the emergency management platform in the method embodiment shown in fig. 4 may be executed, and a specific implementation manner may refer to the method embodiment and will not be described herein.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, and are not repeated herein.
In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a non-volatile computer readable storage medium executable by a processor. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
Finally, it should be noted that: the foregoing examples are merely specific embodiments of the present application, and are not intended to limit the scope of the present application, but the present application is not limited thereto, and those skilled in the art will appreciate that while the foregoing examples are described in detail, the present application is not limited thereto. Any person skilled in the art may modify or easily conceive of the technical solution described in the foregoing embodiments, or make equivalent substitutions for some of the technical features within the technical scope of the disclosure of the present application; such modifications, changes or substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. The intelligent question-answering system of the emergency management platform is characterized by comprising a multi-mode front-end interaction module, an intention analysis module, a data searching module and a data integration module, wherein the data searching module further comprises a knowledge graph unit, a business data storage unit and a functional instruction scheduling unit; the multi-mode front end interaction module is in communication connection with the intention analysis module, and the data searching module is in communication connection with the intention analysis module and the data integration module respectively; wherein,
the multi-mode front-end interaction module is used for carrying out information processing on input information of a user, generating target question information and sending the target question information to the intention analysis module;
the intention analysis module is used for analyzing and processing the target questioning information based on a natural language processing technology, determining intention information of the target questioning information, determining at least one keyword of the target questioning information based on the intention information, and sending each keyword to the data searching module;
the data searching module is used for determining a target execution unit corresponding to the keyword from the knowledge graph unit, the business data storage unit and the functional instruction scheduling unit based on the attribute information of the keyword, so that the target execution unit determines answer information based on the keyword and sends the answer information to the data integrating module;
And the data integration module is used for integrating the data of the answer information and generating target answer information corresponding to the target question information.
2. The intelligent question-answering system according to claim 1, further comprising an information presentation module communicatively connected to the data integration module; wherein,
the information display module is used for displaying characters and broadcasting voice of the target answer information after receiving the target answer information corresponding to the target question information sent by the data integration module, if the target answer information is text information, displaying a function card corresponding to the function instruction information if the target answer information is the function instruction information, so that clicking the function card enters an interactive interface, and broadcasting voice of contents on the function card.
3. The intelligent question-answering system according to claim 1, wherein the data search module is specifically configured to, when the attribute information based on the keyword is used to determine a target execution unit corresponding to the keyword from among the knowledge graph unit, the service data storage unit, and the function instruction scheduling unit:
If the attribute information of the keywords is knowledge attribute information, determining that a target execution unit corresponding to the keywords is the knowledge graph unit;
if the attribute information of the keywords is business attribute information, determining that a target execution unit corresponding to the keywords is the business data storage unit;
and if the attribute information of the keywords is the functional instruction attribute information, determining that the target execution units corresponding to the keywords are the functional instruction scheduling units.
4. The intelligent question-answering system according to claim 3, wherein the knowledge-graph unit is configured to:
searching in a preset knowledge graph based on the keywords, and determining answer information corresponding to the keywords.
5. The intelligent question-answering system according to claim 3, wherein the business data storage unit is configured to:
searching in a preset service database based on the keywords, and determining answer information corresponding to the keywords.
6. The intelligent question-answering system according to claim 3, wherein the function instruction scheduling unit is configured to:
determining function instruction information corresponding to the keywords based on the keywords, calling an API interface corresponding to the function instruction information, and sending the keywords to an external service unit corresponding to the function instruction information based on the API interface so that the external service unit determines answer information of the keywords based on the keywords; the functional instruction information comprises a weather forecast functional instruction, a typhoon path tracking functional instruction, an earthquake information functional instruction and a geographic positioning functional instruction.
7. The intelligent question-answering system according to claim 2, wherein the intelligent question-answering system further comprises:
the intention analysis module is used for extracting keywords of the open treatment scheme instruction input by the user and sent by the multi-mode front-end interaction module, determining keywords corresponding to the open treatment scheme instruction, and sending the keywords to the knowledge graph unit and the business data storage unit;
the knowledge graph unit is used for searching in a preset knowledge graph based on the keywords and determining graph data corresponding to the keywords;
the business data storage unit is used for searching in a preset business database based on the keywords and determining video monitoring data, internet of things sensing data, enterprise business data and scheme information templates corresponding to the keywords;
the data integration module is used for automatically summarizing and integrating the received map data, the video monitoring data, the internet of things perception data and the enterprise business data based on the scheme information template to generate a target treatment scheme corresponding to the treatment scheme opening instruction;
The information display module is used for displaying the received target treatment scheme in a popup window mode after the target treatment scheme is received.
8. The intelligent question-answering system according to claim 1, wherein the intelligent question-answering system further comprises:
the intention analysis module is used for determining the keywords of the target question information, and if the content information of the keywords is video information, the keywords are directly sent to the function instruction scheduling unit;
the function instruction scheduling unit is used for determining video monitoring data corresponding to the keywords based on a data interface and sending the video monitoring data to the data integration module;
and the data integration module is used for integrating the video monitoring data with a preset answer template to generate target answer information corresponding to the target question information.
9. The intelligent question-answering method of the emergency management platform is characterized in that the intelligent question-answering method of the emergency management platform is applied to the intelligent question-answering system of the emergency management platform according to any one of claims 1-8, and the intelligent question-answering method comprises the following steps:
Information processing is carried out on the input information of the user, and target question information is generated;
analyzing and processing the target question information based on a natural language processing technology, determining intention information of the target question information, and determining at least one keyword of the target question information based on the intention information;
determining a target execution unit corresponding to the keyword from a knowledge graph unit, a business data storage unit and a function instruction scheduling unit based on attribute information of the keyword, so that the target execution unit determines answer information based on the keyword;
and carrying out data integration on the answer information to generate target answer information corresponding to the target question information.
10. An electronic device, comprising: a processor, a memory and a bus, said memory storing machine-readable instructions executable by said processor, said processor and said memory in communication via said bus when the electronic device is running, said machine-readable instructions when executed by said processor performing the steps of the intelligent question-answering method of the emergency management platform according to claim 9.
11. A computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, which when executed by a processor performs the steps of the intelligent question-answering method of an emergency management platform according to claim 9.
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