A multi-modal oriented intelligent cooking equipment adaptive control system

Abstract

The application discloses a kind of multi-modal oriented intelligent cooking equipment adaptive control system, processor, for identifying signal processing, and realizing control signal generation;Input module is connected with the processor, for signal acquisition;Multi-modal driving module, signal input end is connected with the processor, and signal output end is connected with intelligent cooking equipment, for intelligent cooking equipment adaptive driving control;And equipment control interface is connected with the processor, for realizing data connection by data line with remote terminal and for reporting state data.The input module of the application can effectively realize the identification operation of input signal, and realize signal processing through controller and through multi-modal driving module, which is beneficial to output the optimal cooking control operation after different input signals are processed by the processor, realize intelligent cooking equipment adaptive control operation, improve control intelligence, solve the technical deficiency of limited intelligent degree in the prior art.

Description

Technical Field

[0001] This invention belongs to the field of cooking equipment technology, specifically relating to an adaptive control system for intelligent cooking equipment oriented towards multimodal operation. Background Technology

[0002] Existing cooking equipment has a relatively simple interaction mode and fails to integrate multiple sensory information for joint decision-making. Its level of intelligence is limited and it is difficult to meet market demands. Summary of the Invention

[0003] The purpose of this invention is to provide an adaptive control system for intelligent cooking equipment oriented towards multimodal operation, aiming to address the shortcomings of existing technologies with limited intelligence.

[0004] The technical solution for achieving the purpose of this invention is an adaptive control system for a multimodal intelligent cooking device, including a processor for recognizing signal processing and generating control signals; An input module, connected to the processor, is used for signal acquisition; The multimodal drive module has a signal input terminal connected to the processor and a signal output terminal connected to the intelligent cooking device, and is used for adaptive drive control of the intelligent cooking device. It also includes a device control interface, which is connected to the processor and used to establish a data connection with a remote terminal via a data cable and to report status data.

[0005] A further preferred embodiment is that the processor includes a speech processing module, a graph processing module, and a text parsing module.

[0006] A further preferred embodiment is that the input module includes a voice acquisition circuit, a text input circuit, an image acquisition circuit, and a sensor data interface.

[0007] A further preferred embodiment is that the voice acquisition circuit is a microphone circuit, the image acquisition circuit is a camera circuit, and the text input circuit is an APP, button, or keyboard input circuit.

[0008] A further preferred embodiment is that the multimodal driving module includes a feature alignment circuit, a confidence evaluation circuit, a fusion decision circuit, a cooking parameter mapping circuit, and an execution feedback circuit.

[0009] A further preferred embodiment is that the system includes the following steps: Step A: Cooking equipment is in standby mode; Step B: The input module acquires multimodal input information and sends detection signals to the processor; Step C: The processor extracts features from the detection signal, generates a drive instruction signal, and sends the drive signal to the multimodal drive module; Step D: The multimodal driving module drives the intelligent cooking device to perform cooking actions.

[0010] A further preferred embodiment is that, in step C, the feature extraction includes speech intent features, image intent features, and text keyword features.

[0011] Compared with the prior art, the present invention has the following positive effects: The input module of the present invention can effectively realize the recognition operation of input signals, and the signal processing is realized through the controller and the multi-modal driving module, which is conducive to outputting the optimal cooking control operation after different input signals are processed by the processor, realizing the adaptive control operation of intelligent cooking equipment, improving the intelligence of control, and solving the technical shortcomings of the limited intelligence level in the prior art. Attached Figure Description

[0012] To make the content of this invention easier to understand, the invention will be further described in detail below with reference to specific embodiments and accompanying drawings, wherein: Figure 1 This is a schematic diagram of the structure of the present invention; Figure 2 This is a flowchart of the present invention.

[0013] Reference numerals: Processor 1, Voice processing module 11, Image processing module 12, Text parsing module 13, Input module 2, Voice acquisition circuit 21, Text input circuit 22, Image acquisition circuit 23, Sensor data interface 24, Multimodal driving module 3, Feature alignment circuit 31, Confidence assessment circuit 32, Fusion decision circuit 33, Cooking parameter mapping circuit 34, Execution feedback circuit 35, Device control interface 4, Intelligent cooking device 5. Detailed Implementation

[0014] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention. Example

[0015] See Figure 1 and Figure 2As shown, an adaptive control system for a multimodal intelligent cooking device includes a processor 1 for signal processing and control signal generation; an input module 2 connected to the processor for signal acquisition; a multimodal drive module 3 with its signal input end connected to the processor and its signal output end connected to the intelligent cooking device 5 for adaptive drive control of the intelligent cooking device; and a device control interface 4 connected to the processor for data connection with a remote terminal via a data cable and for reporting status data.

[0016] Furthermore, in practical applications, the processor includes a voice processing module 11, an image processing module 12, and a text parsing module 13. Simultaneously, the input module includes a voice acquisition circuit 21, a text input circuit 22, an image acquisition circuit 23, and a sensor data interface 24. In practical applications, the voice acquisition circuit is a microphone circuit, the image acquisition circuit is a camera circuit, and the text input circuit is an APP, button, or keyboard input circuit. This allows for multiple input methods, including voice, text, and images, improving usability. The multimodal driving module includes a feature alignment circuit 31, a confidence evaluation circuit 32, a fusion decision circuit 33, a cooking parameter mapping circuit 34, and an execution feedback circuit 35. The execution feedback circuit is primarily used for customer confirmation and error correction.

[0017] In practical applications, the system includes the following steps: Step A: Cooking equipment is in standby mode; Step B: The input module acquires multimodal input information and sends detection signals to the processor; Step C: The processor extracts features from the detection signal, generates a drive instruction signal, and sends the drive signal to the multimodal drive module; Step D: The multimodal driving module drives the intelligent cooking device to perform cooking actions.

[0018] In step C, the feature extraction includes speech intent features, image intent features, and text keyword features.

[0019] Compared with the prior art, the present invention has the following positive effects: The input module of the present invention can effectively realize the recognition operation of input signals, and the signal processing is realized through the controller and the multi-modal driving module, which is conducive to outputting the optimal cooking control operation after different input signals are processed by the processor, realizing the adaptive control operation of intelligent cooking equipment, improving the intelligence of control, and solving the technical shortcomings of the limited intelligence level in the prior art.

[0020] The standard parts used in this embodiment can be purchased directly from the market, and the non-standard structural parts described in the instruction manual can also be processed without any doubt based on existing technical common sense. At the same time, the connection methods of each component adopt mature conventional methods in the existing technology, and the machinery, parts and equipment all adopt conventional models in the existing technology, so they will not be described in detail here.

[0021] Obviously, the above embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the implementation of the present invention. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, these obvious variations or modifications derived from the essential spirit of the present invention still fall within the scope of protection of the present invention.

Claims

1. An adaptive control system for a multimodal intelligent cooking device, characterized in that: The processor is used to identify signal processing and generate control signals; An input module, connected to the processor, is used for signal acquisition; The multimodal drive module has a signal input terminal connected to the processor and a signal output terminal connected to the intelligent cooking device, and is used for adaptive drive control of the intelligent cooking device. It also includes a device control interface, which is connected to the processor and used to establish a data connection with a remote terminal via a data cable and to report status data.

2. The adaptive control system for a multimodal intelligent cooking device according to claim 1, characterized in that: The processor includes a speech processing module, a graph processing module, and a text parsing module.

3. The adaptive control system for a multimodal intelligent cooking device according to claim 1, characterized in that: The input module includes a voice acquisition circuit, a text input circuit, an image acquisition circuit, and a sensor data interface.

4. The adaptive control system for a multimodal intelligent cooking device according to claim 3, characterized in that: The voice acquisition circuit is a microphone circuit, the image acquisition circuit is a camera circuit, and the text input circuit is an APP, button, or keyboard input circuit.

5. The adaptive control system for a multimodal intelligent cooking device according to claim 1, characterized in that: The multimodal driving module includes a feature alignment circuit, a confidence evaluation circuit, a fusion decision circuit, a cooking parameter mapping circuit, and an execution feedback circuit.

6. The adaptive control system for a multimodal intelligent cooking device according to claim 1, characterized in that: The system includes the following steps: Step A: Cooking equipment is in standby mode; Step B: The input module acquires multimodal input information and sends detection signals to the processor; Step C: The processor extracts features from the detection signal, generates a drive instruction signal, and sends the drive signal to the multimodal drive module; Step D: The multimodal driving module drives the intelligent cooking device to perform cooking actions.

7. The adaptive control system for a multimodal intelligent cooking device according to claim 6, characterized in that: In step C, the feature extraction includes speech intent features, image intent features, and text keyword features.

Images