An artificial intelligence system based on satellite Internet of Things

Abstract

The present invention discloses an artificial intelligence system based on satellite Internet of Things, including: a liquid crystal phased array antenna, which has automatic beam control capability, solves the problem of real-time satellite search and tracking in satellite communication, and reduces the cost of equipment application; an AI module has a satellite link large model and an industry application large model, satellite link AI adaptive optimization configuration and adaptive anti-interference capability, improves the satellite channel communication quality, reduces satellite communication charges, and the industry application AI large model can improve the interaction accuracy through self-learning in daily interactions, and automatically update and optimize the local knowledge base; the local knowledge base has built-in solutions to common industry problems, and can be regularly updated using the satellite broadcast function. When the local knowledge base cannot find the answer, it is obtained from the cloud through the AI ​​module. The problem of knowledge acquisition in areas without public networks is solved.

Description

Technical Field

[0001] The present invention belongs to the field of artificial intelligence technology, and in particular relates to an artificial intelligence system based on high, medium and low orbit satellite Internet of Things. Background Art

[0002] In areas without public networks, traditional Internet connections and data access are severely restricted, which brings difficulties in knowledge acquisition and information transmission to local residents' lives, outdoor off-road, scientific expeditions, emergency rescue, energy and water conservancy and other related industries and applications. Due to the inability to effectively access global network resources, users in these areas often face the problem of information islands and find it difficult to obtain important content such as real-time news, emergency information, educational resources and medical consultation.

[0003] In response to this problem, the present invention aims to solve the above problem through an artificial intelligence system based on the Internet of Things of high, medium and low orbit satellites. Summary of the invention

[0004] In order to solve the above technical problems, the present invention proposes an artificial intelligence system based on satellite Internet of Things to solve the problems existing in the above-mentioned prior art.

[0005] To achieve the above-mentioned purpose, the present invention provides an artificial intelligence system based on satellite Internet of Things, including an intelligent interaction module, a local knowledge base module, an AI module, a multi-system satellite Internet of Things baseband module, and a liquid crystal phased array antenna;

[0006] The intelligent interaction module is used to identify multimodal user data information and obtain problems to be solved;

[0007] The local knowledge base module is used to pre-store and automatically update common knowledge;

[0008] The AI ​​module is used to retrieve answers to the questions to be solved from the local knowledge base module, and when there is no corresponding answer in the local knowledge base module, automatically select the configuration list of the optimal satellite link and send it to the multi-system satellite Internet of Things baseband module;

[0009] The multi-system satellite IoT baseband module is applicable to high, medium and low orbit satellites and constellations, and is used to automatically configure according to the configuration list, and issue satellite alignment instructions to the liquid crystal phased array antenna according to the configuration;

[0010] The liquid crystal phased array antenna is used to establish a satellite link according to the satellite alignment instruction, search for answers in the cloud through high, medium and low orbit satellite links based on the AI ​​module, and feed back the searched answers to the user through the intelligent interaction module.

[0011] Preferably, the intelligent interaction module includes a touch display screen, a voice interaction unit and a camera unit;

[0012] The touch screen display is used to ask questions by inputting commands;

[0013] The voice interaction unit is used to obtain questions through voice recognition;

[0014] The camera unit is used to obtain application scenarios by taking photos or recording videos.

[0015] Preferably, the AI ​​module includes a search unit, a call unit and a sending unit.

[0016] The search unit is used to search for answers according to the questions and obtain search results;

[0017] The retrieving unit is used to retrieve the search results and the configuration list of the optimal satellite link;

[0018] The sending unit is used to send the search results and the configuration list of the optimal satellite link to the intelligent interaction module and the multi-system satellite Internet of Things baseband module respectively.

[0019] Preferably, the search unit includes a first search unit and a second search unit;

[0020] The first search unit is used to search for answers from the local knowledge base module according to the question and the application scenario;

[0021] The second search unit is used to search for answers from the cloud according to the question.

[0022] Preferably, the first search unit includes a primary screening unit and a semantic analysis unit;

[0023] The primary screening unit is used to obtain a preliminary answer based on the keywords and application scenarios in the question;

[0024] The semantic analysis unit is used to perform semantic analysis on the preliminary answer to obtain a final answer.

[0025] Preferably, the local knowledge base module includes an industry-based local knowledge unit, a comprehensive local knowledge unit and an update unit;

[0026] The industry-based local knowledge unit is used to classify and store common knowledge;

[0027] The comprehensive local knowledge unit is used to store all commonly used knowledge;

[0028] The updating unit is used for updating the local knowledge base.

[0029] Preferably, the liquid crystal phased array antenna comprises a transceiver radio frequency component, a wave control module and a liquid crystal antenna transceiver panel;

[0030] The transceiver RF component is used to convert a baseband signal into a RF signal or convert a received RF signal into a baseband signal;

[0031] The wave control module is used to generate a control signal according to the instruction

[0032] The liquid crystal antenna transceiver panel is used to control the phase and amplitude of the electromagnetic wave according to the control signal;

[0033] The liquid crystal phased array antenna is suitable for establishing communications with high-orbit, medium-orbit, and low-orbit satellites and constellations.

[0034] Preferably, the artificial intelligence system also includes an expansion module, and the expansion module is used to optimize the local knowledge base module according to previous application scenarios and usage habits.

[0035] Compared with the prior art, the present invention has the following advantages and technical effects:

[0036] The present invention discloses an artificial intelligence system based on satellite Internet of Things, including an intelligent interaction module, a local knowledge base module, an AI module, a multi-system satellite Internet of Things baseband module, and a liquid crystal phased array antenna; the intelligent interaction module is used to identify multimodal user data information and obtain problems to be solved; the local knowledge base module is used to pre-store common knowledge; the AI ​​module is used to retrieve answers to problems to be solved from the local knowledge base module, and when there is no corresponding answer in the local knowledge base module, the configuration list of the optimal satellite link is automatically selected and sent to the multi-system satellite Internet of Things baseband module; the multi-system satellite Internet of Things baseband module is used to automatically configure according to the configuration list, and send a satellite alignment instruction to the liquid crystal phased array antenna according to the configuration; the liquid crystal phased array antenna is used to establish a satellite link according to the satellite alignment instruction, search for answers in the cloud through the satellite link based on the AI ​​module, and feed back the searched answers to the user through the intelligent interaction module. The present invention realizes seamless satellite communication and information retrieval functions by integrating intelligent interaction, local knowledge storage, artificial intelligence processing, multi-system satellite Internet of Things baseband technology and liquid crystal phased array antenna technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] The drawings constituting a part of the present application are used to provide a further understanding of the present application. The illustrative embodiments and descriptions of the present application are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:

[0038] Figure 1 Schematic diagram of an artificial intelligence system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] It should be noted that, in the absence of conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0040] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0041] Embodiment 1

[0042] like Figure 1 As shown, in this embodiment, an artificial intelligence system based on satellite Internet of Things is provided, which is characterized by comprising an intelligent interaction module, a local knowledge base module, an AI module, a multi-system satellite Internet of Things baseband module, and a liquid crystal phased array antenna;

[0043] The intelligent interaction module is used to identify multimodal user data information and obtain problems to be solved;

[0044] The local knowledge base module is used to pre-store and automatically update common knowledge;

[0045] The AI ​​module is used to retrieve answers to the questions to be solved from the local knowledge base module. When there is no corresponding answer in the local knowledge base module, the configuration list of the optimal satellite link is automatically selected and sent to the multi-system satellite IoT baseband module;

[0046] The multi-system satellite IoT baseband module is used to automatically configure according to the configuration list and send satellite pointing instructions to the liquid crystal phased array antenna according to the configuration;

[0047] The liquid crystal phased array antenna is used to establish a satellite link according to the satellite pointing command. Based on the AI ​​module, it searches for answers in the cloud through the satellite link and feeds back the searched answers to the user through the intelligent interaction module.

[0048] Furthermore, the intelligent interaction module is composed of a touch display, a voice interaction unit, a camera unit, etc. Users can initiate services through voice or touch keyboard input, and can choose whether to use auxiliary means such as taking photos or videos with the camera to provide more realistic, rich and intuitive application scenarios. After correct recognition and processing by the industry application AI large model, the results will be fed back to the user through voice broadcast and screen display.

[0049] Specifically, the intelligent interaction module includes a touch display screen, a voice interaction unit and a camera unit;

[0050] The touch display is used to ask questions by entering commands;

[0051] The voice interaction unit is used to obtain questions through voice recognition;

[0052] The camera unit is used to obtain application scenarios by taking photos or recording videos.

[0053] Furthermore, the AI ​​module consists of an AI computing chip, a satellite link model and an industry application model. The AI ​​computing chip mainly uses the built-in satellite link model and industry application model for inference and prediction, and obtains and feeds back the correct conclusions using the service requests input by the user. The satellite link model includes an AI satellite link adaptive optimization configuration model and an AI satellite link adaptive anti-interference model to improve the communication quality of satellite channels and reduce satellite communication charges. The industry application AI model can improve the interaction accuracy through self-learning in daily interactions, and automatically update and optimize the local knowledge base.

[0054] Specifically, the AI ​​module includes a search unit, a call unit, and a send unit.

[0055] The search unit is used to search for answers according to questions and obtain search results;

[0056] The retrieval unit is used to retrieve the search results and the configuration list of the optimal satellite link;

[0057] The sending unit is used to send the search results and the configuration list of the optimal satellite link to the intelligent interaction module and the multi-system satellite Internet of Things baseband module respectively.

[0058] Further, the search unit includes a first search unit and a second search unit;

[0059] The first search unit is used to search for answers from the local knowledge base module according to the question and the application scenario;

[0060] The second search unit is used to search for answers from the cloud according to the question.

[0061] Further, the first search unit includes a primary screening unit and a semantic analysis unit;

[0062] The primary screening unit is used to obtain preliminary answers based on the keywords and application scenarios in the questions;

[0063] The semantic analysis unit is used to perform semantic analysis on the preliminary answer to obtain the final answer.

[0064] Furthermore, based on user application scenarios, the local knowledge base is divided into a comprehensive local knowledge base and an industry local knowledge base. The industry local knowledge base has built-in common knowledge and question-answering databases related to one of the industries such as water conservancy, electricity, emergency communications, emergency rescue, outdoor off-road, scientific expeditions, etc. The comprehensive local knowledge base includes common knowledge and question-answering databases related to all the above industries. The local knowledge base can be automatically updated in the process of daily business interaction and self-learning through the industry application AI big model, and can be centrally updated by the management platform regularly through the satellite link broadcast function.

[0065] Specifically, the local knowledge base module includes industry-based local knowledge units, comprehensive local knowledge units, and update units;

[0066] Industry-based local knowledge units are used to classify and store common knowledge;

[0067] Comprehensive local knowledge units are used to store all common knowledge;

[0068] The updating unit is used for updating the local knowledge base.

[0069] Furthermore, the liquid crystal phased array antenna is composed of a liquid crystal antenna transceiver panel, transceiver RF components and a wave control module. It can operate in microwave or millimeter wave frequency bands, has an automatic beam pointing function, can be adapted to high, medium and low orbit satellite communication systems, and can automatically complete the alignment, satellite search and tracking pointing of the required satellite signals according to the instructions of the multi-system satellite Internet of Things baseband module, thereby realizing the establishment and communication of satellite links.

[0070] Specifically, the liquid crystal phased array antenna includes a transceiver RF component, a beam control module, and a liquid crystal antenna transceiver panel;

[0071] The transceiver RF component is used to convert the baseband signal into a RF signal or convert the received RF signal into a baseband signal;

[0072] The wave control module is used to generate control signals according to instructions

[0073] The liquid crystal antenna transceiver panel is used to control the phase and amplitude of the electromagnetic wave according to the control signal.

[0074] Furthermore, the artificial intelligence system also includes an extension module, which is used to optimize the local knowledge base module according to previous application scenarios and usage habits.

[0075] The extended application interface enables the present invention to have customizable functions and stronger interactive capabilities. Users can define and implement the required large model and local knowledge base function types according to different application scenarios and usage habits, thereby simplifying and optimizing the workflow.

[0076] Furthermore, the multi-system satellite IoT baseband module supports software-customized satellite IoT protocols, and is compatible with space division, time division, frequency division, code division and other communication systems. By receiving AI module configuration instructions, it completes automatic configuration of satellites, working frequency bands, communication systems, communication protocols, working bandwidths, communication rates, etc., to achieve the optimal selection and configuration of satellite links.

[0077] Specific business implementation steps:

[0078] Take the user application in the wild area without public network as an example;

[0079] The user triggers the unlocking interaction interface;

[0080] The user uses voice or screen touch, optionally with the aid of a camera, to identify multimodal user data information through the intelligent interaction module to form a problem to be solved;

[0081] The industry applies AI big models to correctly identify and handle problems and search local knowledge bases;

[0082] If the local knowledge base contains the answer to the question, the industry application AI big model will notify the intelligent interaction module to call the answer and feedback to the user through voice broadcast or screen display, and the business is completed.

[0083] If the local knowledge base does not contain the answer to the question, the industry application AI big model notifies the satellite link big model to enable the satellite communication link;

[0084] The AI ​​satellite link adaptive optimization configuration model automatically selects the optimal satellite link configuration list and notifies the multi-system satellite IoT baseband module based on the problem type, local location, time, link charges, etc.

[0085] The multi-system satellite IoT baseband module automatically configures the satellite, working frequency band, communication system, communication protocol, working bandwidth, communication rate, etc. according to the configuration instructions, and sends satellite alignment instructions to the liquid crystal phased array antenna;

[0086] The liquid crystal phased array antenna automatically completes the alignment, satellite search and tracking of the required satellite signals according to the instructions of the multi-system satellite Internet of Things baseband module, thereby realizing the establishment and communication of satellite links.

[0087] The industry application AI large model searches the user center database or public network database in the cloud through a satellite link. After obtaining the optimal answer to the question, it notifies the intelligent interaction module to call the answer and feeds back to the user through voice broadcast or screen display.

[0088] The industry application AI big model automatically updates and optimizes the local knowledge base through this business interaction.

[0089] This business is completed.

[0090] The present invention has the following effects:

[0091] The present invention provides an efficient solution to achieve seamless satellite communication and information retrieval functions by integrating intelligent interaction, local knowledge storage, artificial intelligence processing, multi-system satellite Internet of Things baseband technology and liquid crystal phased array antenna technology.

[0092] The intelligent interaction module can understand and process various data inputs from users, such as voice, text, images, etc., so as to accurately identify user needs and questions. The local knowledge base module pre-stores a large number of common knowledge points, which can quickly respond to common query needs and shorten user waiting time.

[0093] The AI ​​module is the core of the system, responsible for finding answers from the local knowledge base, and when no corresponding answers can be found, it will autonomously select the best satellite link configuration and issue instructions to the multi-system satellite IoT baseband module. This process does not require human intervention, greatly improving the system's adaptability and response speed.

[0094] The multi-system satellite IoT baseband module automatically adjusts parameters according to the configuration list of the AI ​​module to ensure the optimal performance of the communication link, and then sends precise satellite positioning (satellite positioning) instructions to the liquid crystal phased array antenna. This automatic configuration mechanism provides great flexibility and efficiency for the system.

[0095] Finally, the liquid crystal phased array antenna quickly establishes a communication link with the satellite based on the received satellite command. If the local knowledge base does not contain the answer to the user's question, the system will use the AI ​​module to search for the corresponding answer in the cloud through the established satellite link, and feedback the found answer to the user in real time through the intelligent interaction module.

[0096] In general, the satellite IoT-based artificial intelligence system of the present invention provides users with a comprehensive, efficient and intelligent solution, which is particularly suitable for remote areas or areas without network coverage. It can significantly improve the problem of information acquisition in these areas and enhance users' information interaction experience.

[0097] The above are only preferred specific implementations of the present application, but the protection scope of the present application is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed in the present application should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An artificial intelligence system based on satellite Internet of Things, characterized in that: It includes intelligent interaction module, local knowledge base module, AI module, multi-system satellite IoT baseband module and liquid crystal phased array antenna; The intelligent interaction module is used to identify multimodal user data information and obtain problems to be solved; The local knowledge base module is used to pre-store and automatically update common knowledge; The AI ​​module is used to retrieve answers to the questions to be solved from the local knowledge base module, and when there is no corresponding answer in the local knowledge base module, automatically select the configuration list of the optimal satellite link and send it to the multi-system satellite Internet of Things baseband module; The multi-system satellite IoT baseband module is applicable to high, medium and low orbit satellites and constellations, and is used to automatically configure according to the configuration list, and issue satellite alignment instructions to the liquid crystal phased array antenna according to the configuration; The liquid crystal phased array antenna is used to establish satellite links with high-, medium- and low-orbit satellites and constellations according to the satellite alignment instructions, search for answers in the cloud through satellite links based on the AI ​​module, and feed back the searched answers to users through the intelligent interaction module.

2. The artificial intelligence system based on satellite Internet of Things according to claim 1 is characterized in that: The intelligent interaction module includes a touch display screen, a voice interaction unit and a camera unit; The touch screen display is used to ask questions by inputting commands; The voice interaction unit is used to obtain questions through voice recognition; The camera unit is used to obtain application scenarios by taking photos or recording videos.

3. The artificial intelligence system based on satellite Internet of Things according to claim 1, characterized in that: The AI ​​module includes a search unit, a call unit and a sending unit The search unit is used to search for answers according to the questions and obtain search results; The retrieving unit is used to retrieve the search results and the configuration list of the optimal satellite link; The sending unit is used to send the search results and the configuration list of the optimal satellite link to the intelligent interaction module and the multi-system satellite Internet of Things baseband module respectively.

4. The artificial intelligence system based on satellite Internet of Things according to claim 3 is characterized in that: The search unit includes a first search unit and a second search unit; The first search unit is used to search for answers from the local knowledge base module according to the question and the application scenario; The second search unit is used to search for answers from the cloud according to the question.

5. The artificial intelligence system based on satellite Internet of Things according to claim 4 is characterized in that: The first search unit includes a primary screening unit and a semantic analysis unit; The primary screening unit is used to obtain a preliminary answer based on the keywords and application scenarios in the question; The semantic analysis unit is used to perform semantic analysis on the preliminary answer to obtain a final answer.

6. The artificial intelligence system based on satellite Internet of Things according to claim 1 is characterized in that: The local knowledge base module includes industry-based local knowledge units, comprehensive local knowledge units and update units; The industry-based local knowledge unit is used to classify and store common knowledge; The comprehensive local knowledge unit is used to store all commonly used knowledge; The updating unit is used for updating the knowledge base.

7. The artificial intelligence system based on satellite Internet of Things according to claim 1 is characterized in that: The liquid crystal phased array antenna includes a transceiver radio frequency component, a wave control module and a liquid crystal antenna transceiver panel; The transceiver RF component is used to convert a baseband signal into a RF signal or convert a received RF signal into a baseband signal; The wave control module is used to generate a control signal according to the instruction; The liquid crystal antenna transceiver panel is used to control the phase and amplitude of the electromagnetic wave according to the control signal.

8. The artificial intelligence system based on satellite Internet of Things according to claim 1 is characterized in that: The artificial intelligence system also includes an expansion module, which is used to optimize the local knowledge base module according to previous application scenarios and usage habits.

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