Method and system for man-machine interaction based on knowledge graph of power grid data

Abstract

The invention relates to the technical field of data management, in particular to a method and system for man-machine interaction based on a knowledge graph of power grid data, and the system comprises a central processor module, a storage module, a communication module, a login module, an operation module, a man-machine conversation module and a database management module. The central processor module is bidirectionally connected with the storage module, the communication module, the login module, the operation module, the man-machine conversation module and the database management module. When the power grid data is inquired or managed, due to the fact that the man-machine conversation module is arranged, the system is more intelligent when used by operators, the aiml recognition subunit and the rasa recognition subunit are combined, the system has generalization ability and accuracy at the same time, due to the fact that the database management module is arranged, the whole power grid data is a graph map, and the system is more convenient to use. The power grid data can be more conveniently called in a knowledge graph form in cooperation with the man-machine conversation module, and the permission module is arranged, so that data protection in the storage module is safer.

Description

Technical Field

[0001] The present invention belongs to the technical field of data management, and particularly relates to a method and system for human-computer interaction based on a knowledge graph of power grid data. Background Art

[0002] At present, China's power grid has entered a development stage of large power grids, ultra-high voltage, long-distance, and AC / DC parallel transmission. The complexity of the power grid structure and the difficulty of operation control technology are rare in the world. The power grid dispatching system is the center of power grid operation and is an effective management means adopted to ensure the safe and stable operation of the power grid, reliable external power supply, and orderly progress of various power production works. It plays an important role in power grid operation monitoring. The power grid operation monitoring system directly provides data acquisition and monitoring for power grid dispatching operation, and can provide power operation information, power analysis and decision-making tools, and necessary control means for production operation dispatchers in power dispatching agencies at all levels online.

[0003] Ontology modeling based on knowledge graph technology essentially provides a unified data model with a high level of abstract concepts for multi-source, heterogeneous, and diverse types of big data. Based on such a data model, a set of graph generation tools are used to converge, fuse, and associate various sources, heterogeneous, and massive big data for storage. Big data analysis based on knowledge graphs realizes the essential semantic association of big data, which is more free and diverse than traditional relational databases and can better meet users' needs for exploring the value of power grid big data and discovering intelligence. In the existing technologies, there are still deficiencies in the knowledge graph data system for power grid data, and the efficiency is relatively low when viewing and managing data. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and system for human-computer interaction based on a knowledge graph of power grid data to solve the problems raised in the above background art.

[0005] To achieve the above purpose, the present invention provides the following technical solution: A system for human-computer interaction based on a knowledge graph of power grid data, including a central processing unit module, a storage module, a communication module, a login module, an operation module, a human-computer dialogue module, and a database management module. The central processing unit module is bidirectionally connected to the storage module, the communication module, the login module, the operation module, the human-computer dialogue module, and the database management module;

[0006] The operation module is connected to a touch screen;

[0007] The human-machine dialogue module is used to identify user intentions. The human-machine dialogue module includes a receiving unit, an identifying unit, a processing unit, an exporting unit, and a recording unit. The receiving unit is used to receive input instructions from an operator. The identifying unit is used to identify the intention of the input instructions from the operator. The processing unit is used to process the intention identified by the identifying unit. The exporting unit is used to export the processing results generated by the processing unit to the generation module. The recording module is used to record the usage records of the human-machine dialogue module;

[0008] The database management module includes a receiving module, a data management module, a knowledge graph module, a generation module, and a permission module. The receiving module is used to receive power grid data and store it in the storage module. The data management module is used to process the received power grid data information. The knowledge graph module converts the data information processed by the data management module into a corresponding knowledge graph. The generation module receives the information sent by the human-machine dialogue module and generates a corresponding knowledge graph for the information. The permission module is used to manage system permissions.

[0009] Preferably, the touch screen touch panel has dual input functions of touch and voice. The receiving unit converts the instructions input by the operator on the touch panel into text information data and transmits it to the identifying unit. If the text information input by the operator is through touch, it is transmitted to the identifying unit after the operator confirms. If the voice information input by the operator is through voice, the receiving unit will first translate the voice information into text information and then transmit it to the identifying unit after confirmation.

[0010] Preferably, the identifying unit includes an aiml identifying subunit and a rasa identifying subunit. When the identifying unit receives the input information instruction, it will send the question to the aiml identifying subunit for identification. If the aiml identifying subunit identifies the corresponding intention, it will directly output the intention to the processing unit. If the aiml identifying subunit fails to identify the intention, it will enter the rasa identifying subunit for re-identification.

[0011] Preferably, the processing unit includes a language subunit and a script subunit. The language subunit processes the received intention information. The language subunit extracts the key fields from the intention information according to the corpus, then compares them with the corpus in the storage module, and feeds back the results according to the matching similarity. Then, the corpus matched by the corpus is transmitted to the script subunit. The script subunit is used to create a generation graph command script.

[0012] Preferably, a discrimination submodule is further provided in the corpus subunit, which is a supplement to the corpus subunit and a link for manual filtering of non-existent data. The discrimination submodule loads the corpus information record to be confirmed and displays a confirmation mark of right or wrong on the touch screen. If the record is correct, click the mark for correctness. If the record is wrong, click the mark for error. The discrimination submodule provides a search input for quick search of corpus. When the corresponding corpus is found, the corresponding corpus can be clicked, and the corpus actually judged by the record will be corrected. When the corresponding corpus cannot be found, a new corpus is created and the corresponding behavior is added. According to the result of this operation, the newly added corpus and question are synchronized to the storage module, and then transmitted to the script subunit to improve the recognition rate of the human-computer dialogue module.

[0013] Preferably, the human-computer dialogue module is further connected to a testing unit. When the discrimination submodule modifies the corpus, the testing unit is used to test it, specifically by re-requesting all current online operation records to verify the recognition status.

[0014] Preferably, the data management module includes a classification unit, an import unit and a parsing unit. The classification unit is used to classify the power grid data. There are different definition subunits in the classification unit. After the definition subunit defines the data, different data labels are assigned to different data types, which can facilitate the subsequent identification of different data types. Then, these classified and defined data are sent to the import unit. The import unit contains multiple data transmission channels, each transmission channel can identify and transmit a data type. The import unit transmits the power grid data to the parsing unit through the data transmission channel. The parsing unit includes multiple groups of data parsing elements that match the receiving channels and data types. These receiving channels and parsing elements correspond one-to-one with the data transmission channels and can be used to process a type of data. The power grid data is parsed by the parsing element. During the parsing process, reasonable data is output after comparing the data in the data stream with the information of the previous data, avoiding sending out unrealistic data during the data transmission process. The multiple groups of data parsing elements are provided with several groups of data processing elements. The data processing elements pre-store a data extraction program. After extracting the power grid data, the central processing unit module outputs the calculated data as an image code signal and then transmits it to the atlas module.

[0015] Preferably, the generation module includes an acquisition unit, an analysis unit, a retrieval unit, an integration unit, and an output unit. The acquisition unit is used to receive the graph command generated by the export unit. The analysis unit analyzes the graph command and extracts the keyword field information. Then, the retrieval unit retrieves the corresponding graphical atlas according to the keyword field information. The integration unit integrates these retrieved graphical atlases uniformly, and the output unit transmits the integrated atlas to the touch panel for display.

[0016] Preferably, the permission module includes a classification unit, a verification unit, and a database management unit. The classification unit is used to classify the permissions of all the information stored in the storage module and system operations. The verification unit is used to assign corresponding permissions according to the account data logged in by the login module. The database management unit includes a system administrator subunit, a security administrator subunit, and a system auditor subunit;

[0017] The system administrator subunit is used to manage the creation of all resources within the system, grant autonomous access control permissions, and assign roles. The system administrator subunit has the security attributes of a system administrator and can only perform system management operations and cannot access the data in the storage module;

[0018] The security administrator subunit is used to manage attribute access control, specify the attributes of users, databases, and tables, and formulate security access control policies. The security administrator subunit has the security attributes of a security administrator and can only perform security management operations and cannot access the data in the storage module;

[0019] The system auditor subunit is responsible for auditing the operations of all users in the database. All users include system administrators and security administrators. The auditor subunit has the security attributes of an auditor and can only perform audit operations and cannot access the data in the storage module.

[0020] A method for human-computer interaction based on a knowledge graph of power grid data includes the following steps:

[0021] S1: The operator inputs an instruction through the touch screen, and the receiving unit converts the instruction input by the operator on the touch panel into text information data and transmits it to the recognition unit;

[0022] S2: The recognition unit recognizes the intention of the instruction input by the operator, and the processing unit processes the intention information recognized by the recognition unit to generate a graph command script;

[0023] S3: The export unit sends the graph command to the acquisition unit;

[0024] S4: After the acquisition unit receives the graph command generated by the export unit, the analysis unit analyzes the graph command and extracts the keyword field information;

[0025] S5: The retrieval unit retrieves the corresponding graphical atlas according to the keyword field information;

[0026] S6: The integration unit uniformly integrates these retrieved graphical atlases;

[0027] S7: The output unit transmits the integrated atlas to the touch panel for display.

[0028] Compared with the prior art, the beneficial effects are as follows: A method and system for human-computer interaction based on a knowledge graph of power grid data proposed by the present invention are more intelligent when querying or managing power grid data because a human-computer dialogue module is set. The aiml recognition subunit and the rasa recognition subunit are combined with each other, enabling the system to have both generalization ability and accuracy. Because a database management module is set, the power grid data is integrated into a graphical atlas, and it is more convenient to call the power grid data in the form of a knowledge graph in cooperation with the human-computer dialogue module. And a permission module is set, which makes the data protection in the storage module safer. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 It is a schematic structural diagram of the system of the present invention.

[0030] Figure 2 It is a schematic structural diagram of the human-computer dialogue module of the present invention.

[0031] Figure 3 It is a schematic structural diagram of the recognition unit of the present invention.

[0032] Figure 4 It is a schematic structural diagram of the processing unit of the present invention.

[0033] Figure 5 It is a schematic structural diagram of the database management module of the present invention.

[0034] Figure 6 It is a schematic structural diagram of the generation module of the present invention.

[0035] Figure 7 It is a schematic structural diagram of the data management module of the present invention.

[0036] Figure 8 It is a schematic structural diagram of the permission module of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0038] Please refer to Figures 1 to 8 , the present invention provides a technical solution: a human-computer interaction system based on a knowledge graph of power grid data, including a central processing unit module, a storage module, a communication module, a login module, an operation module, a human-computer dialogue module, and a database management module. The central processing unit module is bidirectionally connected to the storage module, the communication module, the login module, the operation module, the human-computer dialogue module, and the database management module.

[0039] The human-computer dialogue module is used to identify the user's intention. The human-computer dialogue module includes a receiving unit, an identifying unit, a processing unit, an exporting unit, and a recording unit. The receiving unit is used to receive the input instructions of the operator. The operation module is connected to a touch screen, and the touch panel of the touch screen has dual input functions of touch and voice. The receiving unit converts the instructions input by the operator on the touch panel into text information data and transmits it to the identifying unit. If the text information input by the operator is through touch, it is transmitted to the identifying unit after the operator confirms. If the voice information input by the operator is through voice, the receiving unit will first translate the voice information into text information and then transmit it to the identifying unit after confirmation.

[0040] The identifying unit is used to identify the intention of the input instructions of the operator. The identifying unit includes an aiml identifying subunit and a rasa identifying subunit. When the identifying unit receives the input information instruction, it will send the question to the aiml identifying subunit for identification. If the aiml identifying subunit identifies the corresponding intention, it will directly output the intention to the processing unit. If the aiml identifying subunit fails to identify the intention, it will enter the rasa identifying subunit for re-identification.

[0041] The processing unit is used to process the intent identified by the recognition unit. The processing unit includes a corpus sub-unit and a script sub-unit. The corpus sub-unit processes the received intent information. The corpus sub-unit extracts the intent information based on the corpus, extracts the key fields and then compares them with the corpus in the storage module, and feeds back the results based on the matching similarity. The corpus matched by the corpus is then transmitted to the script sub-unit. The script sub-unit is used to create a command script for generating a graph. A discrimination submodule is also provided in the corpus subunit. The discrimination submodule is a supplement to the corpus subunit and is a link for manual filtering of non-existent data. The discrimination submodule loads the corpus information record to be confirmed and displays a correct or incorrect confirmation mark on the touch screen. If the record is correct, click the mark to indicate correct. If the record is incorrect, click the mark to indicate incorrect. The discrimination submodule provides a search input for quick search of corpus. When the corresponding corpus is found, you can click the corresponding corpus, and the corpus actually judged by the record will be corrected. When the corresponding corpus cannot be found, a new corpus is created and the corresponding behavior is added. According to the result of this operation, the newly added corpus and question are synchronized to the storage module, and then transmitted to the script subunit to improve the recognition rate of the human-computer dialogue module.

[0042] The export unit is used to export the processing results generated by the processing unit to the generation module, and the recording module is used to record the use of the human-computer dialogue module. The human-computer dialogue module is also connected to the testing unit. After the discriminant submodule modifies the corpus, the testing unit is used to test it. Specifically, the testing unit requests all operation records currently online to verify the recognition status.

[0043] The database management module includes a receiving module, a data management module, a graph module, a generating module, and a permission module. The receiving module is used to receive power grid data and store it in the storage module. The data management module is used to process the received power grid data information. The data management module includes a classification unit, an import unit, and an analysis unit. The classification unit is used to classify the power grid data. In the classification unit, there are different definition subunits, including voltage, current, power consumption, power supply, etc. After the definition subunits define the data, different data tags are assigned to different data types, which can facilitate the subsequent identification of different data types. Then, these classified and defined data are sent to the import unit. The import unit contains multiple data transmission channels, and each transmission channel can identify and transmit one data type. The import unit transmits the power grid data to the analysis unit through the data transmission channels. The analysis unit includes multiple groups of receiving channels and data analysis components that match the data types. These receiving channels and analysis components correspond one-to-one with the data transmission channels and can be used to process one type of data. The power grid data is analyzed by the analysis components. During the analysis process, reasonable data is output after comparing the data in the data stream with the information of the previous data, avoiding sending unrealistic data during data transmission. Several groups of data processing components are set in multiple groups of data analysis components. The data extraction program is pre-stored in the data processing components. After the power grid data is extracted, the central processing unit module outputs the calculated data as an image code signal and then transmits it to the graph module.

[0044] The graph module converts the data information processed by the data management module into corresponding knowledge graphs. The graph module contains a multi-channel information analysis unit and a graph generation unit. Several groups of information analysis components are set on the multi-channel information analysis unit. The information analysis components are used to match the image codes and send them to the graph generation unit respectively. The graph generation unit loads the image codes and converts them into graphic graphs for output. The graph generation unit sends the graphic graphs to the storage module for storage.

[0045] The generating module receives the information sent by the human-computer dialogue module and generates corresponding knowledge graphs for the information. The generating module includes an acquisition unit, an analysis unit, a retrieval unit, an integration unit, and an output unit. The acquisition unit is used to receive the graph commands generated by the export unit. The analysis unit analyzes the graph commands and extracts key field information. Then, the retrieval unit retrieves the corresponding graphic graphs according to the key field information. The integration unit integrates these retrieved graphic graphs uniformly. The output unit transmits the integrated graphs to the touch panel for display.

[0046] The permission module is used to manage system permissions. The permission module includes a grading unit, a verification unit, and a database management unit. The grading unit is used to grade the permissions for all the information stored in the storage module and system operations. The verification unit is used to assign corresponding permissions according to the account data logged in by the login module. The database management unit includes a system administrator subunit, a security administrator subunit, and a system auditor subunit. The system administrator subunit is used to manage the creation of all resources within the system, grant discretionary access control permissions, and perform role assignments. The system administrator subunit has the security attribute of a system administrator and can only execute system management operations and cannot access the data in the storage module. The security administrator subunit is used to manage attribute access control, specify the attributes of users, databases, and tables, and formulate security access control policies. The security administrator subunit has the security attribute of a security administrator and can only execute security management operations and cannot access the data in the storage module. The system auditor subunit is responsible for auditing the operations of all users in the database. All users include system administrators and security administrators. The auditor subunit has the security attribute of an auditor and can only execute audit operations and cannot access the data in the storage module.

[0047] A method for human-computer interaction based on a knowledge graph of power grid data, comprising the following steps:

[0048] S1: The operator inputs an instruction through the touch screen, and the receiving unit converts the instruction input by the operator on the touch panel into text information data and transmits it to the recognition unit;

[0049] S2: The recognition unit recognizes the intention of the instruction input by the operator, and the processing unit processes the intention information recognized by the recognition unit to generate a graph command script;

[0050] S3: The export unit sends the graph command to the acquisition unit;

[0051] S4: After the acquisition unit receives the graph command generated by the export unit, the analysis unit analyzes the graph command and extracts key field information;

[0052] S5: The retrieval unit retrieves the corresponding graphical graph according to the key field information;

[0053] S6: The integration unit uniformly integrates these retrieved graphical graphs;

[0054] S7: The output unit transmits the integrated graph to the touch screen for display.

[0055] When querying or managing power grid data, due to the setting of a human-machine dialogue module, it is more intelligent when used by operators. The aiml recognition subunit and the rasa recognition subunit are combined with each other, enabling the system to have both generalization ability and accuracy. Due to the setting of a database management module, the power grid data is integrated into a graphical atlas, and it is more convenient to call the power grid data in the form of a knowledge graph in cooperation with the human-machine dialogue module. Moreover, a permission module is set, which provides more secure protection for the data in the storage module.

[0056] Finally, it should be noted that the technical solutions of the present invention are only described in combination with the above embodiments and are not limited thereby. Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A system for human-computer interaction based on a knowledge graph of power grid data, characterized in that It is characterized in that: It includes a central processing unit module, a storage module, a communication module, a login module, an operation module, a human-computer dialogue module, and a database management module. The central processing unit module is bidirectionally connected to the storage module, the communication module, the login module, the operation module, the human-computer dialogue module, and the database management module; The operation module is connected to a touch screen; The human-computer dialogue module is used to recognize the user's intention. The human-computer dialogue module includes a receiving unit, a recognition unit, a processing unit, an export unit, and a recording unit. The receiving unit is used to receive the input instructions of the operator. The recognition unit is used to recognize the intention of the input instructions of the operator. The processing unit is used to process the intention recognized by the recognition unit. The export unit is used to export the processing results generated by the processing unit to the generation module. The recording module is used to record the usage records of the human-computer dialogue module; The database management module includes a receiving module, a data management module, a knowledge graph module, a generation module, and a permission module. The receiving module is used to receive power grid data and store it in the storage module. The data management module is used to process the received power grid data information. The knowledge graph module converts the data information processed by the data management module into a corresponding knowledge graph. The generation module receives the information sent by the human-computer dialogue module and generates a corresponding knowledge graph for the information. The permission module is used to manage system permissions.

2. The system for human-computer interaction based on a knowledge graph of power grid data according to claim 1, wherein The touch panel of the touch screen has dual input functions of touch and voice. The receiving unit converts the instructions input by the operator on the touch panel into text information data and transmits it to the recognition unit. If the text information input by the operator is through touch, it is transmitted to the recognition unit after the operator confirms. If the operator inputs voice information through voice, the receiving unit will first translate the voice information into text information and then transmit it to the recognition unit after confirmation.

3. A human-computer interaction system based on a knowledge graph of power grid data according to claim 1, characterized in that, The recognition unit includes an aiml recognition sub-unit and a rasa recognition sub-unit. When the recognition unit receives the input information instruction, it will send the question to the aiml recognition sub-unit for recognition. If the aiml recognition sub-unit recognizes the corresponding intention, it will directly output the intention to the processing unit. If the aiml recognition sub-unit does not recognize the intention, it will enter the rasa recognition sub-unit for re-recognition.

4. A system for human-computer interaction based on a knowledge graph of power grid data according to claim 1, wherein The processing unit includes a corpus sub-unit and a script sub-unit. The corpus sub-unit processes the received intention information. The corpus sub-unit extracts the intention information according to the corpus, extracts the key fields, then compares them with the corpus in the storage module, and feedbacks the results according to the matching similarity. Then, the corpus matched by the corpus is transmitted to the script sub-unit. The script sub-unit is used to create a generation graph command script.

5. A system for human-computer interaction based on a knowledge graph of power grid data according to claim 4, characterized in that, The corpus subunit is also provided with a discrimination submodule, which is a supplement to the corpus subunit and a link for manual filtering of non-existent data. The discrimination submodule loads the corpus information record to be confirmed and displays a confirmation mark of right or wrong on the touch screen. If the record is correct, click the mark to indicate correct; if the record is wrong, click the mark to indicate wrong. The discrimination submodule provides a search input for a quick search of corpus. When the corresponding corpus is found, the corresponding corpus can be clicked, and the corpus actually discriminated by the record will be corrected. When the corresponding corpus cannot be found, a new corpus is created and the corresponding behavior is added. According to the result of this operation, the newly added corpus and question are synchronized to the storage module, and then transmitted to the script subunit to improve the recognition rate of the human-computer dialogue module.

6. The system for human-computer interaction based on a knowledge graph of power grid data according to claim 5, characterized in that, The human-computer dialogue module is also connected to a testing unit. When the discrimination submodule modifies the corpus, the testing unit is used to test it. Specifically, all operation records currently online are requested again to verify the recognition status.

7. The system for human-computer interaction based on a knowledge graph of power grid data according to claim 1, wherein The data management module includes a classification unit, an import unit and a parsing unit. The classification unit is used to classify the power grid data. There are different definition sub-units in the classification unit, including voltage, current, power consumption, power supply, etc. After the definition sub-unit defines the data, different data types are given different data labels, which can facilitate the subsequent identification of different data types. Then, these classified and defined data are sent to the import unit. The import unit contains multiple data transmission channels, each transmission channel can identify and transmit a data type, and the import unit transmits the power grid data to the parsing unit through the data transmission channel. The analysis unit includes multiple groups of data analysis elements that match receiving channels and data types. These receiving channels and analysis elements correspond to data transmission channels one by one and can be used to process one type of data. The power grid data is analyzed by the analysis element. During the analysis process, reasonable data is output after comparing the data in the data stream with the information of the previous data, so as to avoid sending unrealistic data during the data transmission process. The multiple groups of data analysis elements are provided with several groups of data processing elements. The data processing elements are pre-stored with data extraction programs. After extracting the power grid data, the central processing unit module outputs the calculated data as an image code signal and then transmits it to the atlas module.

8. A system for human-computer interaction based on a knowledge graph of power grid data according to claim 2, characterized in that, The generation module includes an acquisition unit, an analysis unit, a retrieval unit, an integration unit and an output unit. The acquisition unit is used to receive the graph command generated by the export unit, the analysis unit analyzes the graph command and extracts key field information, and then the retrieval unit retrieves the corresponding graphic graph based on the key field information. The integration unit integrates these retrieved graphic graphs, and the output unit transmits the integrated graph to the touch panel for display.

9. A system for human-computer interaction based on a knowledge graph of power grid data according to claim 1, characterized in that, The permission module includes a classification unit, a verification unit, and a database management unit. The classification unit is used to classify the permissions for all the information stored in the storage module and system operations. The verification unit is used to assign corresponding permissions to the account data logged in by the login module. The database management unit includes a system administrator subunit, a security administrator subunit, and a system auditor subunit; The system administrator subunit is used to manage the creation of all resources within the system, grant discretionary access control permissions, and perform role assignments. The system administrator subunit has the security attribute of a system administrator and can only execute system management operations and cannot access the data in the storage module; The security administrator subunit is used to manage attribute access control, specify the attributes of users, databases, and tables, and formulate security access control policies. The security administrator subunit has the security attribute of a security administrator and can only execute security management operations and cannot access the data in the storage module; The system auditor subunit is responsible for auditing the operations of all users in the database, including system administrators and security administrators. The system auditor subunit has the security attribute of an auditor and can only execute audit operations and cannot access the data in the storage module.

10. A method for human-computer interaction based on a knowledge graph of power grid data, which is used for a system for human-computer interaction based on a knowledge graph of power grid data according to any one of claims 1-9, and is characterized in that: It includes the following steps: S1: The operator inputs an instruction through the touch screen, and the receiving unit converts the instruction input by the operator on the touch panel into text information data and transmits it to the recognition unit; S2: The recognition unit identifies the intention of the instruction input by the operator, and the processing unit processes the intention information recognized by the recognition unit to generate a graph command script; S3: The export unit sends the graph command to the acquisition unit; S4: After the acquisition unit receives the graph command generated by the export unit, the analysis unit analyzes the graph command and extracts the key field information; S5: The retrieval unit retrieves the corresponding graphic atlas according to the key field information; S6: The integration unit uniformly integrates these retrieved graphic atlases; S7: The output unit transmits the integrated atlas to the touch screen for display.

Images