Automobile state prompt information display method and related equipment
By detecting and analyzing the driver's voice information, combined with artificial intelligence models and dynamic display styles, the system interprets vehicle status prompts, solving the problem of high difficulty for drivers to understand and improving driving safety.
Patent Information
- Application Number
- CN202511786148.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-28
- Publication Date
- 2026-01-23
AI Technical Summary
Vehicle status alerts can be easily misunderstood or difficult for drivers to comprehend, thus affecting driving safety.
By detecting the voice information of the people in the vehicle, using speech recognition and artificial intelligence models to generate detailed explanatory information, interpreting the meaning of the vehicle status prompts, and performing semantic matching and urgency ranking when displaying them, combined with static and dynamic display styles, the comprehensibility of the information is improved.
It improves the speed and accuracy of drivers' understanding of vehicle status prompts, reduces the risk of misunderstanding, and ensures driving safety.
Smart Images

Figure CN121375477A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of automotive technology, and in particular to a vehicle state prompt information display method and related device. BACKGROUND
[0002] A vehicle has many components and works for a long time in complex road conditions, so there are many states and working conditions that the vehicle can appear in. In order to let the people on the vehicle, especially the driver, understand the state and working condition information of the vehicle, devices such as an instrument cluster, a center screen, and a HUD are used to display vehicle state prompt information.
[0003] Due to the limited space of display devices such as an instrument cluster, a center screen, and a HUD, vehicle state prompt information is usually displayed in a highly summarized and abstract style. This can have positive effects such as efficient information transmission, reducing the time required by the driver to obtain vehicle state prompt information, and allowing the driver to devote more time and effort to vehicle driving to ensure traffic safety. However, this generally requires the driver to have sufficient experience or to have previously read the vehicle's user manual to understand the meaning of the vehicle state prompt information. However, this ideal state is difficult to fully meet, so it is easy for the driver to not be able to understand the meaning of the vehicle state prompt information in a short period of time, thereby spending a lot of time thinking about the meaning of the vehicle state prompt information and neglecting vehicle driving operations, which can endanger traffic safety, or misinterpreting the meaning of the vehicle state prompt information, and so on. For example, in some vehicle products, if it is detected that the driver has been driving the vehicle for a long time, a warning light shaped like a "coffee cup" is displayed on the display device. This warning light expresses the direct information "suggesting that the driver drink coffee to refresh" through the shape of the "coffee cup", thereby expressing the information "detecting long-time driving, there is a risk of fatigue driving, suggesting stopping and resting". However, the driver may not be able to immediately understand the meaning, and cannot refer to the vehicle manual during driving, and may even misinterpret the shape of the "coffee cup" as the shape of a component of the vehicle, thereby mistakenly thinking that the component has failed. SUMMARY
[0004] In view of the technical problems that current vehicle state prompt information is easy to be misunderstood or misinterpreted, the purpose of the present application is to provide a vehicle state prompt information display method and related device.
[0005] In one aspect, an embodiment of the present application includes a vehicle state prompt information display method, which includes the following steps: displaying vehicle state prompt information; detecting first voice information of a person on the vehicle; performing voice recognition on the first voice information to obtain first semantic information; According to the automobile state prompt information and the first semantic information, generate an explanation information; the explanation information is used for meaning explanation of the automobile state prompt information; Display the explanation information.
[0006] Further, the display automobile state prompt information includes: Detect the working state of the components of the automobile to obtain at least one component working state information; Iterate through all the component working state information, and for any component working state information, call a corresponding first display style as the automobile state prompt information corresponding to the component working state information; the first display style represents the content of the corresponding component working state information through a specific style; Display each automobile state prompt information.
[0007] Further, the generation of the explanation information according to the automobile state prompt information and the first semantic information includes: Iterate through all the automobile state prompt information, and for any automobile state prompt information, perform semantic matching between the automobile state prompt information and the first semantic information to obtain a semantic matching degree corresponding to the automobile state prompt information; Determine the automobile state prompt information with the highest semantic matching degree; Generate the explanation information according to the determined automobile state prompt information.
[0008] Further, the display automobile state prompt information includes: Detect the working state of the components of the automobile to obtain at least one component working state information; Obtain the emergency degree corresponding to each component working state information; Sort each component working state information according to the order of the emergency degree to obtain a state information queue with order; Iterate through all the component working state information, and for any component working state information, call a corresponding first display style, call a corresponding second display style according to the order of the component working state information in the state information queue, fuse the first display style and the second display style to obtain a corresponding third display style as the automobile state prompt information corresponding to the component working state information; the first display style represents the content of the corresponding component working state information through a specific static style, and the second display style represents the order in the state information queue through a specific dynamic style; Display each automobile state prompt information.
[0009] Further, the generating the instruction information according to the automobile state prompt information and the first semantic information comprises: Traversing all the automobile state prompt information, for any one of the automobile state prompt information, performing semantic matching between the second display style part in the automobile state prompt information and the first semantic information to obtain a semantic matching degree corresponding to the automobile state prompt information; Determining the automobile state prompt information corresponding to the highest semantic matching degree; Generating the instruction information according to the determined automobile state prompt information.
[0010] Further, the generating the instruction information according to the automobile state prompt information and the first semantic information comprises: According to the automobile state prompt information, calling a corresponding instruction information template; Taking the instruction information template as the instruction information.
[0011] Further, the generating the instruction information according to the automobile state prompt information and the first semantic information comprises: Calling an artificial intelligence text generation model; Taking the automobile state prompt information and the first semantic information as prompt words and inputting the prompt words into the artificial intelligence text generation model; Obtaining text generated by the artificial intelligence text generation model in response to the prompt words as the instruction information.
[0012] Further, the automobile state prompt information display method further comprises: Generating and displaying request information; the request information is used for requesting a person on the vehicle to issue an instruction related to the instruction information; Detecting second voice information of the person on the vehicle; Performing voice recognition on the second voice information to obtain second semantic information; According to the second semantic information, controlling an automobile component corresponding to the instruction information.
[0013] In another aspect, the embodiment of the present application further comprises a computer device comprising a memory and a processor, the memory is used for storing at least one program, and the processor is used for loading the at least one program to execute the automobile state prompt information display method in the embodiment.
[0014] In another aspect, the embodiment of the present application further comprises a computer readable storage medium, wherein a program executable by a processor is stored, and the program executable by the processor is used for executing the automobile state prompt information display method in the embodiment when executed by the processor.
[0015] The beneficial effects of the present application are: the automobile state prompt information display method in the embodiment, by displaying the automobile state prompt information; detecting the first voice information and the first semantic information of the people on the car, and generating the explanation information according to the automobile state prompt information and the first semantic information, so as to explain the meaning of the automobile state prompt information by displaying the explanation information, which can process and respond to the voice expression of the people on the car in time in the case that the people on the car do not understand the meaning of the automobile state prompt information, so as to make the people on the car understand the real meaning of the automobile state prompt information in time, which is beneficial to ensure the safety of the automobile use. BRIEF DESCRIPTION OF DRAWINGS
[0016] Figure 1 A schematic diagram of the automobile system to which the automobile state prompt information display method in the embodiment can be applied; Figure 2 A schematic diagram of the steps of the automobile state prompt information display method in the embodiment; Figure 3 A schematic diagram of the automobile state prompt information with the first display style in the embodiment; Figure 4 A schematic diagram of the automobile state prompt information with the third display style in the embodiment. DETAILED DESCRIPTION
[0017] The automobile state prompt information processing method in the embodiment can be applied to the automobile system shown in Figure 1 Referring to Figure 1 , the automobile system includes control modules, screen terminals, voice modules and other hardware devices, which can be used to execute the automobile state prompt information processing method. Among them, the control module is a component with data acquisition, processing, output and control functions, for example, an electronic control unit ECU can be used as the control module; the screen terminal can be an instrument, a central control screen, a HUD (Head-Up Display, Head-Up Display) and other display devices, the voice module includes a microphone, a speaker and a processing unit, the microphone can collect the human voice waveform on the car and send it to the processing unit, the processing unit can perform voice recognition on the human voice waveform, and output the information in text format, the content of the information in text format is the content of the human voice, the processing unit sends the information in text format to the control module for processing, and the control module sends the voice data to be played to the speaker for playing.
[0018] The automobile further comprises a plurality of functional components, hardware devices such as CSC, and corresponding underlying software. Each functional component is a component on the automobile that is used to implement a certain function and has a certain degree of automation (including being capable of controlled adjustment of working parameters, being capable of detection and feedback of real-time state data, etc.) or intelligence, such as a vehicle-mounted air conditioner (capable of accepting control to adjust working parameters such as refrigeration and heating temperature, air volume, air direction, etc., and detecting and feeding back real-time state data such as measured temperature, actual air speed, etc., and being capable of detecting and feeding back fault information existing in itself through self-checking), a lane keeping assistance system (capable of accepting control to turn on or off the lane keeping assistance function, and detecting and feeding back real-time state data such as the distance between the automobile and the sides of the lane, and being capable of detecting and feeding back fault information existing in itself through self-checking), a fatigue driving monitoring system (capable of accepting control to turn on or off the lane keeping assistance function, and detecting and feeding back real-time state data such as the facial expression and body movement of the driver to identify the fatigue state of the driver, and being capable of detecting and feeding back fault information existing in itself through self-checking). Since each functional component has a certain degree of automation, the underlying software runs inside or outside (such as a control module) of each functional component, and the underlying software functions to perform self-checking, control, driving, and communication of the functional component, thereby ensuring the operation of the functional component. The CSC can control the screen terminal and the functional components.
[0019] In this embodiment, based on the hardware foundation shown in Figure 1 , a processing method for automobile state prompt information can be executed. Referring to Figure 2 , the processing method for automobile state prompt information comprises the following steps: S1. displaying automobile state prompt information; S2. detecting first voice information of a person on the automobile; S3. performing voice recognition on the first voice information to obtain first semantic information; S4. generating explanation information according to the automobile state prompt information and the first semantic information; S5. displaying the explanation information.
[0020] Figure 1 The flow performed by each component in the automobile system when executing the processing method for automobile state prompt information is shown in
[0021] Referring to Figure 1 and Figure 2 , when executing step S1, that is, the step of displaying automobile state prompt information, the following steps can be executed in this embodiment: S101A. performing working state detection on components of the automobile to obtain at least one component working state information; S102A. Traverse all component working state information, for any component working state information, call a corresponding first display style as a car state prompt information corresponding to the component working state information; S103A. Display each car state prompt information.
[0022] Steps S101A-S103A are a first execution manner of step S1.
[0023] In step S101A, the working state of the components of the car is detected to obtain at least one component working state information. The component working state information can be information indicating the working state of the functional components of the car itself, such as fault information detected through self-checking, information that the vehicle-mounted air conditioner is in a cooling state and the current cooling target temperature, etc. The component working state information can also be information detected and needed to be fed back when the functional components of the car execute their functions, such as an event of “current car driving deviates from the lane” detected by the lane keeping auxiliary system, an event of “current driver continuous driving time is too long (for example, more than 4 hours)” detected by the fatigue driving monitoring system, etc.
[0024] In step S102A, all component working state information is traversed, for any component working state information, a corresponding first display style is called as a car state prompt information corresponding to the component working state information.
[0025] In this embodiment, the first display style represents the content of the corresponding component working state information through a specific style. The first display style can be a concise shape, pattern, icon, short or single word or letter, which represents the component working state information in a highly summarized manner. Each component working state information has a corresponding first display style, and different component working state information generally has different first display styles.
[0026] For example, referring to Figure 3 For the vehicle-mounted air conditioner, the component working state information detected in step S101A can be “in a cooling state, the current cooling target temperature is 20℃”, etc. Then, in step S102A, a first display style with the content of “snowflake icon and ‘20℃’ word” can be called as the car state prompt information corresponding to the component working state information of the vehicle-mounted air conditioner.
[0027] For example, referring to Figure 3For the lane keeping assistant system, the component working state information detected in step S101A can be specifically "detecting a 'current vehicle is deviating from the lane' event", and then in step S102A, the first display style of "tilted car icon" can be called as the vehicle state prompt information corresponding to the component working state information of the lane keeping assistant system.
[0028] For example, referring to Figure 3 For the fatigue driving monitoring system, the component working state information detected in step S101A can be specifically "detecting a 'current driver has been driving for too long' event", and then in step S102A, the first display style of "coffee cup icon" can be called as the vehicle state prompt information corresponding to the component working state information of the fatigue driving monitoring system.
[0029] Figure 3 The number and content of the vehicle state prompt information in the above table are for illustration only. In actual use, there can be only one vehicle state prompt information at the same time, or there can be more vehicle state prompt information.
[0030] In step S103A, the control module sends each vehicle state prompt information to the screen terminal for display. The screen terminal can display the vehicle state prompt information in the form of warning lights, i.e. the screen terminal has been provided with a plurality of fixed pattern warning lights, and each warning light has the same display effect as the corresponding first display style when it is on. In this way, the control module can control the on-off of the warning lights in the screen terminal, thereby controlling the screen terminal to display a specific vehicle state prompt information.
[0031] In step S103A, the control module can also call the picture file corresponding to the first display style from the local pattern library and send it to the screen terminal for display.
[0032] By executing steps S101A-S103A, the on-board personnel can quickly understand the component working state information by watching the vehicle state prompt information with the first display style.
[0033] However, among the technical problems faced by the present embodiment, the on-board personnel can not understand the meaning of the vehicle state prompt information displayed on the screen terminal due to lack of driving experience, etc. For example, for the lane keeping assistant system, Figure 3In the case that the driver is not familiar with the "coffee cup" pattern in the instrument panel, the driver on the vehicle can not understand the meaning of the "coffee cup" pattern, which indicates that long-time driving is detected and there is a risk of fatigue driving, and the driver on the vehicle is suggested to stop and rest. In this case, the driver on the vehicle can express his / her doubt by speaking, for example, the driver on the vehicle can speak the voice "What does the coffee cup on the instrument panel mean?". Such voice is detected by the voice module in step S2, and the first voice information is detected, and the voice module or the control module performs step S3 to detect the first semantic information, where the first semantic information can be information in the text format "What does the coffee cup on the instrument panel mean?".
[0034] In the embodiment, on the basis of performing steps S101A-S103A, in step S4, that is, generating the explanation information according to the vehicle state prompt information and the first semantic information, the following steps can be performed: S401A. Iterating all vehicle state prompt information, for any vehicle state prompt information, performing semantic matching between the vehicle state prompt information and the first semantic information to obtain a semantic matching degree corresponding to the vehicle state prompt information; S402A. Determining the vehicle state prompt information with the highest corresponding semantic matching degree; S403A. Generating the explanation information according to the determined vehicle state prompt information.
[0035] Steps S401A-S403A are a first execution mode of step S4. Steps S401A-S403A can be run by the control module. The control module can call an artificial intelligence model running locally or on a server to perform steps S401A-S403A.
[0036] Referring to Figure 3 In step S401A, the control module can input the "snowflake icon and '20℃' text, the tilted car icon, and the coffee cup icon" and the first semantic information into the artificial intelligence model for semantic matching. The artificial intelligence model is trained to have the performance of semantic recognition and calculation of graphics and text, so as to obtain the semantic matching degrees corresponding to the vehicle state prompt information.
[0037] In this embodiment, for the first semantic information with the content of "What does the coffee cup on the instrument mean?", since the first semantic information contains the keyword "coffee cup", in step S402A, the artificial intelligence model identifies that the first semantic information has the highest semantic matching degree with the vehicle state prompt information of the first display style with the coffee cup icon, and the semantic matching degree of the vehicle state prompt information of the first display style with the snowflake icon and the tilted car icon is lower or even zero. In step S403A, the explanation information is generated according to the vehicle state prompt information determined in step S402A, that is, the vehicle state prompt information of the first display style with the coffee cup icon (the vehicle state prompt information corresponding to the fatigue driving monitoring system). The control module can call the pre-stored explanation information template with fixed content, for example, "This function is the fatigue driving monitoring function, which indicates that you have fatigue driving, and it is suggested that you stop and rest", as the explanation information.
[0038] In this embodiment, for the first semantic information with the content of "What does the coffee cup on the instrument mean?", since the first semantic information contains the keyword "coffee cup", in step S402A, the artificial intelligence model identifies that the first semantic information has the highest semantic matching degree with the vehicle state prompt information of the first display style with the coffee cup icon, and the semantic matching degree of the vehicle state prompt information of the first display style with the snowflake icon and the tilted car icon is lower or even zero. In step S403A, the explanation information is generated according to the vehicle state prompt information determined in step S402A, that is, the vehicle state prompt information of the first display style with the coffee cup icon (the vehicle state prompt information corresponding to the fatigue driving monitoring system). The control module can call the pre-stored explanation information template with fixed content, for example, "This function is the fatigue driving monitoring function, which indicates that you have fatigue driving, and it is suggested that you stop and rest", as the explanation information.
[0039] The control module can send the explanation information to the voice module, so that the voice module plays the explanation information in the form of voice. The control module can also send the explanation information to the screen terminal, so that the screen terminal displays the explanation information in the form of text. The person on the vehicle understands the explanation information by listening to the voice module or watching the screen terminal, and understands the meaning of the vehicle state prompt information such as "coffee cup icon" and "car icon" displayed on the screen terminal.
[0040] The automobile state prompt information display method in this embodiment can display the automobile state prompt information when displaying; detect the first voice information and the first semantic information of the person on the vehicle, and generate the explanation information according to the automobile state prompt information and the first semantic information, so as to explain the meaning of the automobile state prompt information through the display of the explanation information. When the person on the vehicle does not understand the meaning of the automobile state prompt information and expresses confusion through voice, the voice expression of the person on the vehicle can be processed and responded in time, so as to explain the meaning of the automobile state prompt information in detail through the explanation information, which can make up for the high generalization of the automobile state prompt information, and can reduce the high understanding difficulty, the possible influence on the automobile driving operation or the misunderstanding, so as to make the person on the vehicle understand the real meaning of the automobile state prompt information in time, and is beneficial to the safety of the automobile use. Moreover, the control module can use the semantic recognition and processing algorithm such as the artificial intelligence model to accurately locate the automobile state prompt information that the person on the vehicle feels confused even if the first voice information of the person on the vehicle is somewhat fuzzy, so as to reduce the knowledge requirement of the person on the vehicle and improve the automobile use experience.
[0041] However, the person on the vehicle may be caused by insufficient knowledge reserve, difficult to see the automobile state prompt information in the driving process and other reasons, so that the first voice information is too fuzzy, so that the effect of the processing method of the automobile state prompt information executed based on steps S101A-S103A is not good. For example, for the coffee cup pattern in Figure 3 The person on the vehicle may misinterpret it as a "gas canister", so as to speak the first voice information with the content of "what does the gas canister on the instrument mean?", and the first semantic information with the corresponding content is obtained. For such first semantic information, when steps S401A-S403A are executed, the key word "gas canister" in the first semantic information may have too low semantic matching degree with the automobile state prompt information such as snowflake icon, inclined car icon, coffee cup icon (for example, all are zero), so as to fail to effectively determine which automobile state prompt information the first semantic information points to, and thus fail to generate the explanation information for the determined automobile state prompt information.
[0042] For the problems that may occur in the execution of steps S101A-S103A and steps S401A-S403A, steps S101B-S104B and steps S401B-S403B can be executed instead.
[0043] In this embodiment, when step S1 is executed, that is, when the automobile state prompt information is displayed, the following steps can be executed: S101B. Detecting the working state of the automobile component to obtain at least one component working state information; S102B. Obtain the emergency degree corresponding to each component working state information respectively; S103B. Sort the component working state information according to the order of the emergency degree, and obtain a state information queue with order; S104B. Traverse all the component working state information, for any component working state information, call a corresponding first display style, call a corresponding second display style according to the order of the component working state information in the state information queue, fuse the first display style and the second display style to obtain a corresponding third display style as a corresponding automobile state prompt information of the component working state information; S105B. Display each automobile state prompt information.
[0044] The principle of step S101B is the same as that of S101A.
[0045] In step S102B, the emergency degree corresponding to each component working state information can be determined according to whether the component working state information indicates a component failure and the degree of influence on driving safety. A mapping relationship between the component working state information and the emergency degree can be established in the database, and the emergency degree can be obtained by querying the database when step S102B is executed.
[0046] For example, in this embodiment, for the component working state information “in refrigeration state, the current refrigeration target temperature is 20℃” of the air conditioning functional component, it does not indicate a component failure, and the influence on driving safety is relatively small, so in step S102B, the component working state information will be determined to correspond to a lower emergency degree (for example, the specific value is 1); for the component working state information “detecting a ‘current automobile driving off the lane’ event, which has a considerable influence on driving safety, so in step S102B, the component working state information will be determined to correspond to a higher emergency degree (for example, the specific value is 5); for the component working state information “detecting a ‘current driver continuous driving time is too long’ event” of the fatigue driving monitoring system functional component, the influence on driving safety is not as great as the automobile driving off the lane, which belongs to the medium degree, so in step S102B, the component working state information will be determined to correspond to a medium emergency degree (for example, the specific value is 3).
[0047] In step S103B, the component working state information can be sorted according to the order of the urgency determined in step S102B from high to low or from low to high, and a state information queue with order is obtained. For example, based on the urgency determined in step S102B, if the order is from high to low, the state information queue obtained in the embodiment is "component working state information of the lane keeping assistance system, component working state information of the fatigue driving monitoring system, component working state information of the vehicle air conditioner".
[0048] In step S104B, all the component working state information is traversed. For any component working state information, a corresponding first display style is called, and the principle is the same as that in step S102A. The first display style represents the content of the corresponding component working state information through a specific static style.
[0049] In step S104B, a corresponding second display style is also called according to the order of the component working state information in the state information queue, wherein the second display style represents the order in the state information queue through a specific dynamic style.
[0050] In the embodiment, the second display style is a specific dynamic style, for example, "fast flashing (flashing frequency is 1 Hz)", "slow flashing (flashing frequency is 0.5 Hz)", "rotation", "color change", "highlight", "none (equivalent to no second display style)", etc. In the embodiment, different second display styles have different visual effects on the human eye, thereby playing different roles in attracting attention. For example, the second display style of "fast flashing" generally produces a stronger visual effect than the second display style of "slow flashing", thereby playing a stronger role in attracting attention.
[0051] In the embodiment, since there are three automobile state prompt information to be displayed, the same number of second display styles, i.e., three second display styles, can be called. Specifically, the three second display styles of "fast flashing", "slow flashing" and "none" can be called. Among them, the "fast flashing" with the strongest visual effect corresponds to the front order (the highest urgency) in the state information queue, the "slow flashing" with the medium visual effect corresponds to the middle order (the medium urgency) in the state information queue, and the "none" with the weakest visual effect corresponds to the last order (the lowest urgency) in the state information queue.
[0052] In step S104B, the state information queue with order is obtained by referring to the component working state information of the lane keeping assistance system, the component working state information of the fatigue driving monitoring system and the component working state information of the vehicle air conditioner. Figure 4For example, for the first display style "snowflake icon" corresponding to the functional component of the vehicle air conditioner, the second display style "none" is called, and the control module fuses the first display style and the second display style to obtain a third display style, which contains the content of the first display style and the content of the second display style. The final display effect is the same as the first display style "snowflake icon" itself, which is a car state prompt information corresponding to the vehicle air conditioner; for the first display style "inclined car icon" corresponding to the functional component of the lane keeping assistant system, the second display style "fast flashing" is called, and the control module fuses the first display style and the second display style to obtain a third display style, which contains the content of the first display style and the content of the second display style. The final display effect is "fast flashing inclined car icon", which is a car state prompt information corresponding to the lane keeping assistant system; for the first display style "coffee cup icon" corresponding to the functional component of the fatigue driving monitoring system, the second display style "slow flashing" is called, and the control module fuses the first display style and the second display style to obtain a third display style, which contains the content of the first display style and the content of the second display style. The final display effect is "slow flashing coffee cup icon", which is a car state prompt information corresponding to the fatigue driving monitoring system.
[0053] In step S105B, the control module sends each car state prompt information to the screen terminal for display, so that the screen terminal displays the car state prompt information such as "snowflake icon (without any second display style added)", "fast flashing inclined car icon" and "slow flashing coffee cup icon".
[0054] In this embodiment, the principle of performing steps S101B-S105B is that: by fusing the second display style on the basis of the first display style to obtain the third display style, the car state prompt information displayed by the screen terminal is the third display style, which contains the content of the second display style, so that the on-board personnel can watch the content of the second display style when watching the screen terminal; in this way, when the on-board personnel feel confused about the car state prompt information displayed by the screen terminal, the on-board personnel can be guided to provide more description information, for example, the on-board personnel see Figure 4If the passenger doesn't understand the meaning of the "coffee cup icon," even if they mistake it for a gasoline can, they might say, "What does that slowly flashing gasoline can on the dashboard mean?" This voice prompt is processed by the voice module in step S2, which detects the first voice information. Then, the voice module or control module processes the first semantic information in step S3, which ultimately makes the first semantic information contain the keyword "slowly flashing." This helps improve the accuracy of the explanatory information generated in the subsequent step S4.
[0055] In this embodiment, based on the execution of steps S101B-S105B, when executing step S4, which is the step of generating explanatory information based on the vehicle status prompt information and the first semantic information, the following steps can be specifically executed: S401B. Traverse all vehicle status prompts. For any vehicle status prompt, perform semantic matching between the second display style part of the vehicle status prompt and the first semantic information to obtain the semantic matching degree corresponding to the vehicle status prompt. S402B. Determine the vehicle status prompt message with the highest semantic matching degree; S403B. Generate explanatory information based on the determined vehicle status information.
[0056] Steps S401B-S403B are the second execution method of step S4.
[0057] In step S401B, the control module can run an artificial intelligence model to first semantically match the first semantic information with the second display style portion of each vehicle status prompt information to obtain the semantic matching degree corresponding to the vehicle status prompt information. Since, based on the execution of steps S101B-S105B, the first semantic information may carry keywords such as "slowly flashing," and such keywords are easily associated with… Figure 4 The second display style, "slow flashing," has a high semantic matching degree, while its semantic matching degree with other second display styles is low. This makes the multiple semantic matching degrees obtained in step S401B highly distinguishable. In step S402B, it is easy to determine the car status prompt information with the highest corresponding semantic matching degree, and then step S403B is executed to generate explanatory information based on the car status prompt information determined in step S402B.
[0058] In this embodiment, the principle of executing steps S401B-S403B is as follows: by utilizing the information related to the second display style carried in the first semantic information obtained by executing steps S101B-S105B, the vehicle status prompt information pointed to by the speech of the person in the vehicle can be quickly located, thereby improving the accuracy of the generated explanatory information.
[0059] In this embodiment, in the step of generating the explanation information according to the determined vehicle state prompt information, in addition to calling the fixed explanation information template as the explanation information, an artificial intelligence text generation model can also be called, and the vehicle state prompt information displayed in step S1 and the first semantic information obtained in step S3 are input into the artificial intelligence text generation model as prompt words. The artificial intelligence text generation model has the performance of text processing on the prompt words, and can process the vehicle state prompt information and the first semantic information, so as to generate a text capable of answering the doubt represented by the first semantic information and introducing the meaning of the vehicle state prompt information as the explanation information. Compared with the explanation information obtained by calling the explanation information template, the explanation information generated by calling the artificial intelligence text generation model has better text content richness, flexibility and ease of understanding.
[0060] In this embodiment, the vehicle state prompt information display method further includes the following steps: S6. Generating and displaying request information; S7. Detecting second voice information of the person on the vehicle; S8. Performing voice recognition on the second voice information to obtain second semantic information; S9. Controlling the vehicle component corresponding to the explanation information according to the second semantic information.
[0061] Referring to Figure 1 In step S6, the request information can be generated and played by the voice module. The request information is used to request the person on the vehicle to issue an instruction related to the explanation information. For example, when the content of the explanation information displayed in step S5 is “this function is a fatigue driving monitoring function, which indicates that you have fatigue driving, and it is suggested that you stop and rest”, the request information displayed in step S6 can be a voice with the content of “do you need to help you turn off the fatigue driving monitoring function?”.
[0062] After hearing the request information played by the voice module, the person on the vehicle can speak the second voice information, and the content of the second voice information can be “OK” or “not off” and the like. The voice module detects the second semantic information by performing steps S7-S8.
[0063] Referring to Figure 1In step S9, the automobile component corresponding to the explanation information can be controlled by the CSC according to the second semantic information. For example, when the content of the explanation information is "this function is a fatigue driving monitoring function, which indicates that you have fatigue driving, and it is suggested that you stop and rest", the automobile component corresponding to the explanation information is a fatigue driving monitoring system; if the content of the second semantic information is "OK", then in step S9, the CSC closes the fatigue driving monitoring system, and if the content of the second semantic information is "not to close", then in step S9, the CSC maintains the working state of the fatigue driving monitoring system unchanged.
[0064] By performing steps S6-S9, flexible control of the function components of the automobile by the person on the automobile can be realized, and the use experience of the automobile is improved.
[0065] The computer program for executing the automobile state prompt information display method in the embodiment can be written into a computer device or a storage medium, and when the computer program is read out and run, the automobile state prompt information display method and / or the automobile state prompt information display method in the embodiment are executed, so as to realize the same technical effects as the automobile state prompt information display method and / or the automobile state prompt information display method in the embodiment.
[0066] It should be noted that, unless otherwise specified, when a certain feature is referred to as "fixed" or "connected" to another feature, it can be directly fixed or connected to the other feature, or indirectly fixed or connected to the other feature. In addition, the up, down, left, right and other descriptions used in the disclosure are only relative to the relative position relationship of the components of the disclosure in the drawings. The singular forms "a", "an" and "the" used in the disclosure are also intended to include the plural forms, unless the context clearly indicates otherwise. In addition, unless otherwise defined, all technical and scientific terms used in the embodiments have the same meanings as generally understood by those skilled in the art. The terms used in the embodiments are only used to describe the specific embodiments, and are not intended to limit the present application. The term "and / or" used in the embodiments includes any combination of one or more related listed items.
[0067] It should be understood that although the terms first, second, third, etc. can be used in the disclosure to describe various elements, these elements should not be limited to these terms. These terms are only used to distinguish one type of element from another. For example, without departing from the scope of the disclosure, the first element can also be referred to as the second element, and similarly, the second element can also be referred to as the first element. The use of any and all examples or exemplary language ("for example", "for example", etc.) provided in the embodiments is only intended to better illustrate the embodiments of the present application, and unless otherwise required, does not impose any limitation on the scope of the present application.
[0068] It should be appreciated that embodiments of the present application can be realized by computer hardware, a combination of hardware and software, or by computer instructions stored on a non-transitory computer-readable storage medium. The methods can be implemented in a computer program product by using standard programming techniques including non-transitory computer readable storage media configured with computer programs to implement the methods described herein according to the methods and accompanying drawings described in the detailed description. Each program can be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the programs can be implemented in assembly or machine language, if desired. In any case, the language can be a compiled or interpreted language. Also, the programs can be able to run on standalone systems or in networked environments.
[0069] Furthermore, the operations of the processes described in this embodiment can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described in this embodiment (or variations and / or combinations thereof) can be implemented under the control of one or more computer systems configured with executable instructions (e.g., computer programs, one or more computer programs, or one or more applications) to perform the operations of the processes, by hardware, or combinations thereof. The computer programs include machine instructions operable to cause one or more processors to perform the processes described herein.
[0070] Further, the methods can be implemented in any suitable type of computing platform operably connected to any suitable type of computing platform, including but not limited to a personal computer, a mini-computer, a mainframe, a workstation, a network or distributed computing environment, a stand-alone or integrated computer platform, or in communication with a charged particle tool or other imaging device, etc. Aspects of the present application can be implemented in machine readable code stored on a non-transitory storage medium or device, whether removable or integrated into the computing platform, such as a hard disk, an optical read and / or write storage medium, RAM, ROM, etc., such that it can be read by a programmable computer to configure and operate the computer to perform the processes described herein when the storage medium or device is read by the computer. Furthermore, the machine readable code, or portions thereof, can be transmitted over a wired or wireless network. The present application includes these and other different types of non-transitory computer readable storage media when the instructions or programs implementing the above steps are included in conjunction with a microprocessor or other data processor. The present application also includes the computer itself when programmed according to the methods and techniques of the present application.
[0071] A computer program can be applied to input data to perform the functions of the present embodiments to transform the input data to generate output data that is stored to non-volatile memory. The output information can also be applied to one or more output devices such as a display. In a preferred embodiment of the present application, the transformed data represents a physical and tangible object, including a particular visual depiction of a physical and tangible object produced on a display.
[0072] The above merely preferred embodiments of the present application and are not intended to limit the present application. The present application can be variously modified and changed without departing from the spirit and scope of the present application. Therefore, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the present application.
Claims
1. A method of processing vehicle status prompt information, characterized by, The processing method of the automobile state prompt information comprises: displaying automobile state prompt information; detecting first voice information of a person in the vehicle; performing voice recognition on the first voice information to obtain first semantic information; generating explanation information according to the automobile state prompt information and the first semantic information; the explanation information is used for explaining the meaning of the automobile state prompt information; displaying the explanation information.
2. The automobile state cue information display method according to claim 1, characterized by The displaying of the automobile state prompt information comprises: detecting the working state of components of the vehicle to obtain at least one component working state information; traversing all the component working state information, for any one of the component working state information, calling a corresponding first display style as the automobile state prompt information corresponding to the component working state information; the first display style represents the content of the corresponding component working state information through a specific style; displaying each automobile state prompt information.
3. The automobile state cue information display method according to claim 2, characterized by The generating of the explanation information according to the automobile state prompt information and the first semantic information comprises: traversing all the automobile state prompt information, for any one of the automobile state prompt information, performing semantic matching between the automobile state prompt information and the first semantic information to obtain a semantic matching degree corresponding to the automobile state prompt information; determining the automobile state prompt information with the highest corresponding semantic matching degree; generating the explanation information according to the determined automobile state prompt information.
4. The automobile state cue information display method according to claim 1, characterized by The displaying of the automobile state prompt information comprises: detecting the working state of components of the vehicle to obtain at least one component working state information; obtaining the emergency degree corresponding to each component working state information; sorting each component working state information according to the order of the emergency degree to obtain a state information queue with order; traversing all the component working state information, for any one of the component working state information, calling a corresponding first display style, calling a corresponding second display style according to the order of the component working state information in the state information queue, fusing the first display style and the second display style to obtain a corresponding third display style as the automobile state prompt information corresponding to the component working state information; the first display style represents the content of the corresponding component working state information through a specific static style, and the second display style represents the order in the state information queue through a specific dynamic style; displaying each automobile state prompt information.
5. The automobile state cue information display method according to claim 4, characterized by The generating of the explanation information according to the automobile state prompt information and the first semantic information comprises: traversing all the automobile state prompt information, for any one of the automobile state prompt information, performing semantic matching between the second display style part in the automobile state prompt information and the first semantic information to obtain a semantic matching degree corresponding to the automobile state prompt information; determining the automobile state prompt information with the highest corresponding semantic matching degree; generating the explanation information according to the determined automobile state prompt information.
6. The automobile state cue information display method according to claim 3 or 5, characterized by The generating the description information according to the determined automobile state prompt information comprises: calling a corresponding description information template according to the automobile state prompt information; using the description information template as the description information.
7. The automobile state cue information display method according to claim 3 or 5, characterized by The generating the description information according to the determined automobile state prompt information comprises: calling an artificial intelligence text generation model; inputting the automobile state prompt information and the first semantic information into the artificial intelligence text generation model as prompt words; obtaining the text generated by the artificial intelligence text generation model in response to the prompt words as the description information.
8. The automobile state cue information display method according to any one of claims 1 to 5, characterized by The automobile state prompt information display method further comprises: generating and displaying request information; the request information is used for requesting a person on the vehicle to issue an instruction related to the description information; detecting second voice information of the person on the vehicle; performing voice recognition on the second voice information to obtain second semantic information; controlling an automobile component corresponding to the description information according to the second semantic information.
9. A computer apparatus, comprising: The automobile state prompt information display method comprises a memory and a processor, the memory is used for storing at least one program, and the processor is used for loading the at least one program to execute the automobile state prompt information display method.
10. A computer readable storage medium having stored therein a program which is executable by a processor, characterized in that, The program executable by the processor is used for executing the automobile state prompt information display method when executed by the processor.