Design solution generating system using artificial intelligence

Abstract

This invention primarily discloses an artificial intelligence-based design scheme generation system, comprising: an automatic design scheme generation module and a main control electronic device (e.g., a server with computing capabilities). The main control electronic device receives customer preference data from a user-end electronic device (e.g., a smartphone), and generates a design requirement based on the customer preference data, which is then sent to the automatic design scheme generation module. Specifically, the automatic design scheme generation module includes a generative artificial intelligence model, which generates a text-guided design scheme and / or a diagram-guided design scheme that meets the design requirements by running the generative artificial intelligence model. Finally, the main control electronic device generates a customer preference-guided design scheme based on the text-guided design scheme and / or the diagram-guided design scheme, and sends the customer preference-guided design scheme to the user-end electronic device.

Claims

1. An artificial intelligence-based design scheme generation system, comprising: A design scheme automatic generation module includes at least one pre-trained generative artificial intelligence model and is configured to execute; the at least one pre-trained generative artificial intelligence model is enabled to generate a text-oriented design scheme and / or a diagram-oriented design scheme based on a customer preference-oriented design requirement; and the at least one pre-trained generative artificial intelligence model is enabled to modify the text-oriented design scheme according to a customer modification requirement to generate a revised text-oriented design scheme, and / or modify the diagram-oriented design scheme according to the customer modification requirement to generate a revised diagram-oriented design scheme; The system includes a main control electronic device, which is connected to the automatic design generation module and at least one user terminal electronic device, and is configured to perform the following: connecting to a client electronic device to receive customer preference data; generating customer preference-oriented design requirements based on the customer preference data and sending them to the automatic design generation module; receiving text-oriented design schemes and / or diagram-oriented design schemes from the automatic design generation module; generating a customer preference-oriented design scheme based on the text-oriented design scheme and / or the diagram-oriented design scheme; connecting to the client electronic device to receive customer modification feedback; generating customer modification requirements based on the customer modification feedback and sending them to the automatic design generation module; receiving revised text-oriented design schemes and / or revised diagram-oriented design schemes from the automatic design generation module; and generating a revised customer preference-oriented design scheme based on the revised text-oriented design scheme and / or the revised diagram-oriented design scheme; wherein the automatic design generation module includes: A first database stores N first reference materials, each of which includes a reference text-guided design scheme, and N is a positive integer; and a first server is connected to the first database and the main control electronic device, and is equipped with at least one pre-trained generative artificial intelligence model; wherein the pre-trained generative artificial intelligence model is a pre-trained text-guided design scheme generation model, and the first server is configured to perform: accessing the first database to obtain P first reference materials according to the customer preference-guided design requirements; wherein P is a positive integer less than or equal to N; inputting the P first reference materials into the pre-trained text-guided design scheme generation model, causing the pre-trained text-guided design scheme generation model to output the text-guided design scheme; Based on the customer's modification requirements, access the first database to obtain Q first reference materials; where Q is a positive integer less than or equal to N; and input the Q first reference materials and the text-guided design scheme into the pre-trained text-guided design scheme generation model, so that the pre-trained text-guided design scheme generation model outputs the revised text-guided design scheme.

2. The artificial intelligence design scheme generation system as described in claim 1, wherein, The automatic design scheme generation module further includes: a second database storing M second reference data, wherein the second reference data includes a reference layout-oriented design scheme, and M is a positive integer; and a second server, informationally linked to the second database and the main control electronic device, and equipped with the at least one pre-trained generative artificial intelligence model; wherein the pre-trained generative artificial intelligence model is a pre-trained graph-oriented design scheme generation model, and the second server is configured to perform: accessing the second database to obtain K second reference data according to the customer preference-oriented design requirements; wherein K is a positive integer less than or equal to M; inputting the K second reference data into the pre-trained graph-oriented design scheme generation model, causing the pre-trained graph-oriented design scheme generation model to output the graph-oriented design scheme; Based on the customer's modification requirements, access the second database to obtain L second reference materials; where L is a positive integer less than or equal to M; and input the L second reference materials and the graph-guided design scheme into the pre-trained graph-guided design scheme generation model, so that the pre-trained graph-guided design scheme generation model outputs the revised graph-guided design scheme.

3. The artificial intelligence design scheme generation system as described in claim 1, wherein, The master control electronic device is also configured to: connect to an electronic device and transmit the customer preference-oriented design scheme and the customer preference data to the electronic device; receive a designer-adjusted version of the customer preference-oriented design scheme sent by the electronic device; and transmit the customer preference-oriented design scheme or the designer-adjusted version of the customer preference-oriented design scheme to the client electronic device according to a first delivery instruction sent by the electronic device.

4. The artificial intelligence design scheme generation system as described in claim 3, wherein, The master control electronic device is also configured to: connect to the electronic device and transmit the revised customer preference-oriented design scheme and the customer's modification comments to the electronic device; receive a designer-revised customer preference-oriented design scheme sent by the electronic device; and transmit the revised customer preference-oriented design scheme or the designer-revised customer preference-oriented design scheme to the client electronic device according to a second delivery instruction sent by the electronic device.

5. The artificial intelligence design scheme generation system as described in claim 4, wherein, Both the electronic device and the client electronic device are selected from the group consisting of smartphones, tablets, desktop computers, laptops, and all-in-one computers.

6. The artificial intelligence design scheme generation system as described in claim 4, wherein, The client electronic device includes a processor and a memory, the memory having an application installed thereon, and the processor executing the application to be configured to perform: controlling the client electronic device to connect information to the main control electronic device; controlling a display on the client electronic device to display a user interface; and accepting a user operation through the user interface; wherein the user operation is selected from any one of the group consisting of user registration, user data management, text-based customer preference data input, voice-based customer preference data input, text-based customer modification suggestion input, and voice-based customer modification suggestion input.

7. The artificial intelligence design scheme generation system as described in claim 6, wherein, The application is either a browser or an interactive interface application used to establish a communication channel between a server and a client.

8. The artificial intelligence design scheme generation system as described in claim 6, wherein, The main control electronic device is equipped with a chatbot module, and the main control electronic device is configured to perform the following: during the operation of the user interface, activate the chatbot module to send a text chat message and / or a voice chat message to the user interface.

9. The artificial intelligence design scheme generation system as described in claim 1, wherein, The automatic design scheme generation module includes: a data center, comprising: a first database storing N first reference materials, wherein each first reference material includes a reference version of a text-oriented design scheme, and N is a positive integer; and a second database storing M second reference materials, wherein each second reference material includes a reference version of a graph-oriented design scheme, and M is a positive integer; and a server connected to the data center, and equipped with a pre-trained text-oriented design scheme generation model and a pre-trained graph-oriented design scheme generation model; wherein the server is configured to perform: accessing the first database to obtain P first reference materials according to the customer preference-oriented design requirements; wherein P is a positive integer less than or equal to N; inputting the P first reference materials into the pre-trained text-oriented design scheme generation model, causing the pre-trained text-oriented design scheme generation model to output the text-oriented design scheme; and accessing the first database to obtain Q first reference materials according to the customer modification requirements; wherein Q is a positive integer less than or equal to N. The first reference materials (Q) and the text-oriented design scheme are input into the pre-trained text-oriented design scheme generation model, causing the pre-trained text-oriented design scheme generation model to output the revised text-oriented design scheme; K second reference materials are obtained from the second database based on the customer preference-oriented design requirements, where K is a positive integer less than or equal to M; the K second reference materials are input into the pre-trained graph-oriented design scheme generation model, causing the pre-trained graph-oriented design scheme generation model to output the graph-oriented design scheme; L second reference materials are obtained from the second database based on the customer modification requirements, where L is a positive integer less than or equal to M; and the L second reference materials and the graph-oriented design scheme are input into the pre-trained graph-oriented design scheme generation model, causing the pre-trained graph-oriented design scheme generation model to output the revised graph-oriented design scheme.

10. An artificial intelligence design scheme generation system, comprising: A design scheme automatic generation module includes at least one pre-trained generative artificial intelligence model and is configured to perform: connecting to a client electronic device to receive customer preference data and generating a customer preference-oriented design requirement based on the customer preference data; activating the at least one pre-trained generative artificial intelligence model to generate a text-oriented design scheme and / or a diagram-oriented design scheme based on the customer preference-oriented design requirement; generating a customer preference-oriented design scheme based on the text-oriented design scheme and / or the diagram-oriented design scheme; connecting to the client electronic device to receive customer modification feedback and generating a customer modification requirement based on the customer modification feedback; and activating the at least one pre-trained generative artificial intelligence model to modify the text-oriented design scheme according to the customer modification requirement to generate a revised text-oriented design scheme, and / or modify the diagram-oriented design scheme according to the customer modification requirement to generate a revised diagram-oriented design scheme; wherein, the design scheme automatic generation module includes: a data center, including: A first database stores N first reference materials, each containing a reference text-oriented design scheme, where N is a positive integer; a second database stores M second reference materials, each containing a reference graph-oriented design scheme, where M is a positive integer; and a server, connected to a data center and the client electronic device, and equipped with a pre-trained text-oriented design scheme generation model and a pre-trained graph-oriented design scheme generation model; wherein the server is configured to perform: accessing the first database to obtain P first reference materials based on the client's preference-oriented design requirements; where P is a positive integer less than or equal to N; inputting the P first reference materials into the pre-trained text-oriented design scheme generation model, causing the pre-trained text-oriented design scheme generation model to output the text-oriented design scheme; and accessing the first database to obtain Q first reference materials based on the client's modification requirements; where Q is a positive integer less than or equal to N. The first reference materials (Q) and the text-oriented design scheme are input into the pre-trained text-oriented design scheme generation model, causing the pre-trained text-oriented design scheme generation model to output the revised text-oriented design scheme; K second reference materials are obtained from the second database based on the customer preference-oriented design requirements, where K is a positive integer less than or equal to M; K second reference materials are input into the pre-trained graph-oriented design scheme generation model, causing the pre-trained graph-oriented design scheme generation model to output the graph-oriented design scheme; L second reference materials are obtained from the second database based on the customer modification requirements, where L is a positive integer less than or equal to M;The model inputs L sets of the second reference data and the graph-guided design scheme into a pre-trained graph-guided design scheme generation model, causing the pre-trained graph-guided design scheme generation model to output the revised graph-guided design scheme.

11. The artificial intelligence design scheme generation system as described in claim 10, wherein, The server is also configured to: connect to an electronic device and transmit the customer preference-oriented design scheme and customer preference data to the electronic device; receive a designer-modified customer preference-oriented design scheme sent by the electronic device; and transmit the customer preference-oriented design scheme or the designer-modified customer preference-oriented design scheme to the client electronic device according to a first delivery instruction sent by the electronic device.

12. The artificial intelligence design scheme generation system as described in claim 11, wherein, The server is also configured to: connect to the electronic device and transmit the revised customer preference-oriented design and the customer's modification comments to the electronic device; receive a designer-revised customer preference-oriented design sent by the electronic device; and transmit the revised customer preference-oriented design or the designer-revised customer preference-oriented design to the client electronic device according to a second delivery instruction sent by the electronic device.

13. The artificial intelligence design scheme generation system as described in claim 11, wherein, Both the electronic device and the client electronic device are selected from the group consisting of smartphones, tablets, desktop computers, laptops, and all-in-one computers.

14. The artificial intelligence design solution generation system as described in claim 11, wherein, The client electronic device includes a processor and a memory, the memory having an application installed thereon, and the processor executing the application to be configured to: control the client electronic device to connect to the server; control a display on the client electronic device to display a user interface; and accept a user operation through the user interface; wherein the user operation is selected from any one of the group consisting of user registration, user data management, text-based customer preference data input, voice-based customer preference data input, text-based customer modification suggestion input, and voice-based customer modification suggestion input.

15. The artificial intelligence design solution generation system as described in claim 14, wherein, The application is either a browser or an interactive interface application used to establish a communication channel between a server and a client.

16. The artificial intelligence design scheme generation system as described in claim 14, wherein, The server is also equipped with a chatbot module and is configured to: enable the chatbot module to send a text message, a voice message, and / or an image message to the user interface while the user interface is being operated.

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