Display control system and method
Patent Information
- Application Number
- TW114143931
- Authority / Receiving Office
- TW · TW
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-11-11
- Publication Date
- 2026-10-11
- Estimated Expiration
- 2045-11-10
Smart Images

Figure TWG2TB001915760_001 
Figure TWG2TB001915760_002 
Figure TWG2TB001915760_003
Abstract
Claims
1. A display control system, adapted to communicate with a display module and a user device, comprising: a processing unit; and a storage unit electrically connected to the processing unit, storing a plurality of control program tools corresponding to a plurality of instruction codes, a prompt word data, and a decision model; when the processing unit receives input data from the user device, it generates at least one control request data based on the input data, the prompt word data, and the control program tools, using the decision model, each control request data including one of the control program tools and setting parameter data; the processing unit identifies the instruction code corresponding to the control program tool included in each control request data, and transmits the instruction code and the setting parameter data included in the control request data to the display module.
2. The display control system as described in claim 1, wherein the storage unit further stores a plurality of preprocessing tools, a plurality of first parameter structure data corresponding to each preprocessing tool, a plurality of second parameter structure data corresponding to each control tool, and capability detection result data, wherein each first parameter structure data represents the parameter structure and type that the corresponding preprocessing tool can receive, each second parameter structure data indicates the parameter structure and type that the corresponding control tool can receive, and the capability detection result data indicates the code attributes of a plurality of corresponding instruction codes; wherein, The processing unit, based on the input data and / or the prompt word data, the first parameter structure data, the capability exploration result data, and the preprocessing tools, uses the decision model to select at least one target preprocessing tool from the preprocessing tools; the processing unit, based on the input data, executes the at least one target preprocessing tool to generate a preprocessing result corresponding to the input data; the processing unit, based on the preprocessing result, and / or the prompt word data, the second parameter structure data, the capability exploration result data, and the control tools, uses the decision model to generate the at least one control request data.
3. The display control system as described in claim 1, wherein the storage unit further stores a plurality of reading program tools corresponding to the instruction codes, a plurality of third parameter structure data corresponding to the reading program tools, and capability detection result data, wherein each third parameter structure data is used to represent the parameter structure and type that the corresponding reading program tool can receive, and the capability detection result data is used to indicate the code attributes of the plurality of codes corresponding to the instruction codes; wherein, The processing unit uses the decision model to generate at least one viewing request based on the input data, and / or the prompt word data, the third parameter structure data, the capability exploration result data, and the reading program tools. Each viewing request includes one of the reading program tools. Based on each viewing request, the processing unit identifies the instruction code corresponding to the reading program tool included in each viewing request and transmits the instruction code to the display module. Based on each instruction code, the processing unit receives a current setting value corresponding to the instruction code from the display module.
4. The display control system as described in claim 3, wherein the storage unit further stores multiple preprocessing tools and multiple sets of first parameter structure data corresponding to each preprocessing tool, each set of first parameter structure data representing the parameter structure and type that the corresponding preprocessing tool can receive; wherein, The processing unit, based on the input data, and / or the prompt word data, the first parameter structure data, the capability exploration result data, and the preprocessing tools, uses the decision model to select at least one target preprocessing tool from the preprocessing tools; the processing unit executes the at least one target preprocessing tool based on the input data to generate a preprocessing result corresponding to the input data; the processing unit, based on the preprocessing result, and / or the prompt word data, the third parameter structure data, the capability exploration result data, and the reading tools, uses the decision model to generate data including the at least one viewing request.
5. The display control system as described in claim 1, wherein, The input data can be one of the following: voice data, text data, image data, or IoT sensor data.
6. A display control method, implemented by a display control system adapted to communicate with a display module and a user device, and comprising a processing unit and a storage unit, the storage unit storing a plurality of control program tools corresponding to a plurality of instruction codes, a prompt word data, and a decision model; the display control method comprising: (A) when the processing unit receives input data from the user device, generating at least one control request data based on the input data, the prompt word data, and the control program tools, using the decision model, each control request data including one of the control program tools and setting parameter data; (B) the processing unit finding the instruction code corresponding to the control program tool included in each control request data, and transmitting the instruction code and the setting parameter data included in the control request data to the display module.
7. The display control method as described in claim 6, wherein the storage unit further stores a plurality of preprocessing tools, a plurality of first parameter structure data corresponding to the corresponding preprocessing tools, a plurality of second parameter structure data corresponding to the corresponding control tools, and capability detection result data, wherein each first parameter structure data is used to represent the parameter structure and type that the corresponding preprocessing tool can receive, each second parameter structure data is used to indicate the parameter structure and type that the corresponding control tool can receive, and the capability detection result data is used to indicate a plurality of code attributes corresponding to the corresponding instruction codes; in step (A), The processing unit, based on the input data, and / or the prompt word data, the first parameter structure data, the capability exploration result data, and the preprocessing tools, uses the decision model to select at least one target preprocessing tool from the preprocessing tools; the processing unit, based on the input data, executes the at least one target preprocessing tool to generate a preprocessing result corresponding to the input data; the processing unit, based on the preprocessing result, and / or the prompt word data, the second parameter structure data, the capability exploration result data, and the control tools, uses the decision model to generate data including the at least one control request.
8. The display control method as described in claim 6, wherein the storage unit further stores a plurality of reading program tools corresponding to the instruction codes, a plurality of third parameter structure data corresponding to the reading program tools, and capability detection result data, each third parameter structure data representing the parameter structure and type that the corresponding reading program tool can receive, and the capability detection result data indicating the multiple code attributes corresponding to the instruction codes; the display control method further comprises: (C) the processing unit generating at least one viewing request data based on the input data, and / or the prompt data, the third parameter structure data, the capability detection result data, and the reading program tools, using the decision model, each viewing request data including one of the reading program tools; (D) the processing unit finding the instruction code corresponding to the reading program tool included in each viewing request data, and transmitting the instruction code to the display module; (E) the processing unit receiving a current setting value corresponding to the instruction code from the display module based on each instruction code.
9. The display control method as described in claim 8, wherein the storage unit further stores a plurality of preprocessing tools and a plurality of first parameter structure data corresponding to each of the preprocessing tools, each first parameter structure data representing the parameter structure and type that the corresponding preprocessing tool can receive; in step (C), the processing unit selects at least one target preprocessing tool from the preprocessing tools using the decision model based on the input data, and / or the prompt word data, the first parameter structure data, the capability exploration result data, and the preprocessing tools; the processing unit executes the at least one target preprocessing tool based on the input data to generate a preprocessing result corresponding to the input data; the processing unit generates the at least one viewing request data based on the preprocessing result, and / or the prompt word data, the third parameter structure data, the capability exploration result data, and the reading tool using the decision model.
10. The display control method as described in claim 6, wherein the input data is one of voice data, text data, image data, and Internet of Things sensing data.
Citation Information
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