Passenger emotion-based sightseeing vehicle control method, system and equipment and medium

Abstract

The invention relates to the technical field of intelligent traffic and tourism service, in particular to a sightseeing vehicle control method, system and device based on passenger emotion and a medium, and the method comprises the steps: obtaining passenger information corresponding to a sightseeing vehicle; based on the passenger information, determining an emotion demand of each passenger, and obtaining passenger emotion demand information corresponding to the sightseeing bus; based on the passenger emotion demand information, target operation state parameters of the vehicle are determined, and the target operation state parameters comprise an in-vehicle environment state and a driving route of the vehicle; and based on the target operation state parameter, controlling the sightseeing vehicle so as to meet the emotion demand of a passenger corresponding to the sightseeing vehicle. According to the method, the emotion of the passenger is recognized, and the exclusive target running state parameters of the vehicle are formulated according to the recognized emotion, so that the immersion and experience of the passenger are enhanced, and the sightseeing experience of the passenger is greatly improved.

Description

Background Art

[0002] The sightseeing bus service is the core competitiveness of the tourism industry, directly affecting tourists' satisfaction, loyalty, and word-of-mouth spread. It can help tourists save physical strength and provide a comfortable sightseeing environment, greatly enhancing tourists' travel experience.

[0003] However, in traditional sightseeing bus services, static environmental control and one-way routes often lead to problems such as homogenized tourist experiences and lagging emotional responses, making it difficult to meet the core needs of modern tourism for personalization and immersion. Summary of the Invention

[0004] To overcome the problem that static environmental control and one-way route planning in traditional sightseeing bus services are difficult to meet the core needs of modern tourism for personalization and immersion, the present invention provides a sightseeing bus control method, system, device, and medium based on passenger emotions.

[0005] In a first aspect, to solve the above technical problems, the present invention provides a sightseeing bus control method based on passenger emotions, including:

[0006] Obtaining passenger information corresponding to the sightseeing bus; wherein, the passenger information includes temperature information on the passenger's body surface, pressure distribution information of the seat, and voice information of the passenger;

[0007] Based on the passenger information, determining the emotional needs of each passenger to obtain passenger emotional need information corresponding to the sightseeing bus;

[0008] Based on the passenger emotional need information, determining the target operating state parameters of the vehicle, where the target operating state parameters include the in-vehicle environment state and driving route of the vehicle;

[0009] Controlling the sightseeing bus based on the target operating state parameters to meet the emotional needs of the passengers corresponding to the sightseeing bus.

[0010] In a second aspect, the present invention provides a sightseeing bus control system based on passenger emotions, including:

[0011] A passenger information acquisition module for acquiring passenger information corresponding to the sightseeing bus; wherein, the passenger information includes temperature information on the passenger's body surface, pressure distribution information of the seat, and voice information of the passenger;

[0012] A passenger emotional need information determination module for determining the emotional needs of each passenger based on the passenger information to obtain passenger emotional need information corresponding to the sightseeing bus;

[0013] A target motion state parameter determination module for determining the target operating state parameters of the vehicle based on the passenger emotional need information, where the target operating state parameters include the in-vehicle environment state and driving route of the vehicle;

[0014] A sightseeing experience dynamic adjustment module, which is used to control the sightseeing vehicle based on the target operating state parameters to meet the emotional needs of the passengers corresponding to the sightseeing vehicle.

[0015] In a third aspect, the present invention provides a computing device, including a memory, a processor, and a program stored on the memory and running on the processor. When the processor executes the program, it implements the steps of a method for controlling a sightseeing vehicle based on passenger emotions as described above.

[0016] In a third aspect, the present invention provides a computer-readable storage medium, in which instructions are stored. When the instructions run on a terminal device, the terminal device is caused to execute the steps of a method for controlling a sightseeing vehicle based on passenger emotions as described above.

[0017] The beneficial effects of the present invention are as follows: obtaining passenger information on the sightseeing vehicle, so that the emotional need information of each passenger can be determined according to the passenger information, and the target operating state parameters of the vehicle can be obtained according to the passenger emotional need information. Finally, the sightseeing vehicle is controlled based on the target operating state parameters. By identifying the emotions of passengers and formulating vehicle-specific target operating state parameters according to the identified emotions, the immersion and experience of passengers are enhanced, and the sightseeing experience of passengers is greatly improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be further described below with reference to the drawings and embodiments.

[0019] Figure 1 It is a schematic flow chart of a method for controlling a sightseeing vehicle based on passenger emotions according to an embodiment of the present invention;

[0020] Figure 2 It is a schematic structural diagram of a control system for a sightseeing vehicle based on passenger emotions according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0021] The following embodiments are further explanations and supplements to the present invention and do not constitute any limitation to the present invention.

[0022] The following describes a method, system, device, and medium for controlling a sightseeing vehicle based on passenger emotions according to an embodiment of the present invention with reference to the drawings.

[0023] As Figure 1 shown, an embodiment of the present invention provides a method for controlling a sightseeing vehicle based on passenger emotions, including:

[0024] S1. Obtain passenger information corresponding to the sightseeing vehicle; wherein, the passenger information includes temperature information on the surface of the passenger, pressure distribution information of the seat, and voice information of the passenger.

[0025] S2. Based on the passenger information, determine the emotional needs of each passenger to obtain the passenger emotional need information corresponding to the sightseeing vehicle.

[0026] S3. Based on the passenger emotional need information, determine the target operating state parameters of the vehicle. The target operating state parameters include the in-vehicle environment state and the driving route of the vehicle.

[0027] S4. Based on the target operating state parameters, control the sightseeing vehicle to meet the emotional needs of the passengers corresponding to the sightseeing vehicle.

[0028] In this embodiment, the passenger information on the sightseeing vehicle is obtained, so that the emotional need information of each passenger can be determined according to the passenger information, and the target operating state parameters of the vehicle can be obtained according to the passenger emotional need information. Finally, the sightseeing vehicle is controlled based on the target operating state parameters. By identifying the emotions of the passengers and formulating the target operating state parameters exclusive to the vehicle according to the identified emotions, the immersion and experience of the passengers are enhanced, and the sightseeing experience of the passengers is greatly improved.

[0029] The scenarios applicable to this embodiment include but are not limited to scenic area sightseeing, city sightseeing, etc. The sightseeing vehicle can be an intelligent transportation sightseeing vehicle such as a scenic area shuttle bus or a city sightseeing vehicle.

[0030] The acquisition method of the passenger information in this embodiment is as follows:

[0031] (1) Temperature information on the passenger's body surface:

[0032] Install thermal imaging cameras: Use thermal imaging cameras to collect the temperature gradient on the passenger's body surface, that is, the change rate of temperature in space-time, which reflects emotional fluctuations. These cameras are usually installed in the center of the vehicle roof and tilted downward by 30° to cover the entire passenger area of the vehicle.

[0033] (2) Pressure distribution information of the seat:

[0034] Install fiber optic pressure sensors: Fiber Bragg grating sensors are embedded in the seat surface. Based on the capture of physical deformation, each grating corresponds to a specific reflection wavelength. When seat pressure is applied, the optical fiber generates strain or temperature changes, resulting in changes in the grating period or effective refractive index and a shift in the reflection wavelength, from which the pressure value can be deduced to detect the sitting posture pressure distribution and fluctuation frequency.

[0035] (3) Voice information of the passengers:

[0036] Directional voice pickup system: Suppress background noise, focus on the target speaker, and extract and output text in real time. Use Python and some NLP libraries to match emotional words with an emotional dictionary (such as "so beautiful" → "excitement +1") to quantify the emotional value and output the quantified scores of each emotional dimension.

[0037] In this embodiment, based on temperature information, pressure distribution information, and voice information, a deep learning model Transformer is used to determine the emotional demand information of each passenger. The thermal imaging features formed by the collected temperature information, pressure features formed by the pressure distribution information, and language features formed by the voice information are precisely classified for emotions using Transformer, and corresponding emotion labels are assigned to each emotion category, thereby outputting emotion labels (excited, calm, fatigued, anxious).

[0038] For example:

[0039] Scenario: When the sightseeing vehicle makes a sharp turn

[0040] Data collection:

[0041] (1) Thermal imaging detects that the forehead temperature of passenger A has risen by 0.5°C.

[0042] (2) The pressure sensor shows that the sitting posture center of gravity of passenger B has suddenly shifted to the right.

[0043] (3) Voice recognition detects "slow down" (semantic anxiety + tone increased by 20%).

[0044] Model inference: The Transformer outputs that the emotion labels of both passenger A and B are: anxious.

[0045] In this example, the adjustment of the in-vehicle environment state of the vehicle in the target operating state parameters can be achieved with the help of various intelligent devices. For example, intelligent windows: the light transmittance is adjustable from 10% to 80%, and an integrated transparent OLED layer enables AR projection; multi-channel fragrance system: 6 types of essential oils (mint / citrus / lavender, etc.); intelligent speaker; massage seat.

[0046] In this embodiment, a lightweight AI model is deployed in a single vehicle to perform real-time emotion recognition and policy adaptation.

[0047] In this disclosure, all actions for obtaining signals, information, or data are carried out on the basis of strictly following the relevant data protection regulations and policies of the country where it is located, and with the authorization of the corresponding device owner.

[0048] The owner refers to an individual or entity that owns or controls the relevant device (which may be a device, system, or other tool that can collect data).

[0049] In the field of intelligent connected vehicles, "owners" mainly include:

[0050] (1) Automobile manufacturers: As developers of vehicle hardware and systems, they control the vehicle's underlying hardware and software platforms and have management and control rights over the data generated by vehicle operation, such as driving and fault data.

[0051] (2) Component suppliers: Provide key components for the vehicle, have certain ownership of the data collected and processed from the components, and are used for product optimization and after-sales, such as the data generated by sensors and chips.

[0052] (3) Vehicle owners or users: The actual users of the vehicle, have the right to decide the usage method and scope of vehicle data, such as whether to share data like driving trajectories and driving habits, and have the need and right to protect their own relevant data privacy.

[0053] (4) Service providers: Provide services such as software and data analysis, and have the right to use and manage the data obtained and processed under the framework of the agreement, but the ownership usually belongs to other entities.

[0054] Optionally, based on the passenger emotion demand information, determine the target operating state parameters of the vehicle, including:

[0055] Based on the passenger emotion demand information corresponding to the sightseeing vehicle, determine the emotion category of each passenger in the sightseeing vehicle, and determine the emotion label corresponding to each emotion category to obtain emotion label data;

[0056] In the case where the emotion label data includes only one emotion label, based on the preset environment adjustment database, adjust the in-vehicle environment state to the preset environment corresponding to the emotion label included in the emotion label data; wherein, the environment adjustment database includes multiple emotion labels and the preset environment corresponding to each emotion label;

[0057] In the case where the emotion label data includes at least two emotion labels, use a dynamic balance strategy to adjust the in-vehicle environment state; wherein, the dynamic balance strategy is to set different preset environments according to different emotion labels so that the in-vehicle environment state meets the emotion needs of passengers with different emotions.

[0058] In this embodiment, by identifying the emotions of passengers, customizing and adjusting the in-vehicle environment state, and real-time matching the emotion needs of passengers, the sightseeing experience of passengers is improved.

[0059] In this embodiment, each emotion label corresponds to a different preset environment, specifically as follows:

[0060] (1) Excitement: The sunroof can be opened, AR projection dynamic special effects can be turned on, and in-depth cultural explanations can be played.

[0061] (2) Fatigue: Start the seat massage, switch to the light music mode, and reduce the frequency of voice explanations.

[0062] (3) Anxiety: The light transmittance of the window is reduced to 40%, lavender fragrance is released, and static natural pictures are projected.

[0063] Optionally, the dynamic balance strategy includes:

[0064] For passengers corresponding to the same emotion label, adjust the location area where the passengers are located to the preset environment corresponding to the emotion label;

[0065] And / or, obtain the first identity type and historical preference behaviors of each passenger, and obtain the first weight corresponding to the first identity type and the second weight corresponding to the historical preference behaviors; wherein, different first identity types correspond to different first weights, and different historical preference behaviors correspond to different second weights;

[0066] Based on the first initial weight, the first weight, and the second weight of each passenger, perform a weighted sum on each emotion label to determine the first emotion index corresponding to each emotion label;

[0067] Sort the first emotion indexes from largest to smallest, and adjust the in-vehicle environment state to the preset environment corresponding to the emotion label with the maximum first emotion index.

[0068] In this embodiment, by setting a conflict detection mechanism, a dynamic balance strategy is used to balance the sightseeing experiences of passengers with different emotions, so that the adjustment of the in-vehicle environment state meets the emotional needs of all passengers with different emotions.

[0069] In this embodiment, the first identity type includes VIP passengers, children, the elderly, male passengers, female passengers, etc. The historical preference behaviors include manually turning on the fragrance, manually turning on the stereo, manually adjusting the seat, etc. In addition, the first identity type can be information self-entered by tourists before entering the park, or information uploaded by travel agencies. The identification of historical preference behaviors requires that the tourist has entered the park for sightseeing before. When the tourist played before, the tourist's face information was recorded, and the corresponding operation behaviors of the tourist were recorded, such as turning on the AR device, turning on the fragrance, etc. When the tourist enters the park for sightseeing next time, through face recognition, the tourist's historical preference behaviors can be directly called. For tourists who play for the first time, when calculating emotional needs, the second weight can be deleted, and only the first weight can be added.

[0070] Then, the sightseeing experiences of passengers with different emotions are balanced through the emotion index. For example:

[0071] The first initial weights of all passengers are the same, which can be a. The emotion label of passenger A is anxiety, the first identity type is a VIP passenger, the first weight is b1, the historical preference behaviors include turning on the fragrance, and the second weight is c1. The emotion of passenger B is impatience, the first identity type is the elderly, the first weight is b2, the historical preference behavior is turning on the seat massage, and the second weight is c2. The emotion of passenger C is anxiety, the first identity type is a child, the first weight is b3, the historical preference behavior is turning on the AR device, and the second weight is c3.

[0072] The first emotional index corresponding to the emotional label of anxiety is a + b1 + c1 + a + b3 + c3;

[0073] The first emotional index corresponding to the emotional label of excitement is a + b2 + c2;

[0074] By comparing the magnitudes of a + b1 + c1 + a + b3 + c3 and a + b2 + c2, if the first emotional index corresponding to anxiety is greater, then adjust the in-vehicle environment state such that the window light transmittance is reduced to 40%, release lavender fragrance, and project static natural images.

[0075] Optionally, the dynamic balance strategy further includes:

[0076] Continuously monitor the changes in the emotional labels of each passenger. If the emotional type of the emotional label of any passenger continues to deteriorate, then generate a warning message to notify the management staff.

[0077] In this embodiment, by continuously monitoring the emotional changes of passengers, passengers with deteriorating emotions can be detected in a timely manner and the management staff can be notified, so that the management staff can take corresponding countermeasures in a timely manner to improve the deteriorating emotions of passengers.

[0078] For example, identify the emotions of passengers every 10 minutes. If the emotional labels of a passenger are successively identified as fatigue, anxiety, and irritability for 3 consecutive times, at this time, a warning message can be generated to remind the management staff to gradually introduce compensation measures, such as separately granting the right to use the express lane for scenic spots, to soothe the emotions of the passengers.

[0079] In this embodiment, when the dynamic balance strategy is implemented each time, it can be implemented in an optional one-way manner or in a simultaneous execution manner according to the actual situation. For example:

[0080] (1) When the emotional differences among multiple passengers are large, for example, passenger A shows excitement at seat a and passenger B shows anxiety at seat b, then AR projection dynamic features can be played at seat a and static natural images can be projected at seat b.

[0081] (2) When the emotional differences among multiple passengers are small, for example, passenger A shows anxiety at seat a and passenger B shows impatience at seat b, then the in-vehicle environment state can be adjusted differently for the positions where passenger A and passenger B are located, or the in-vehicle environment state can be adjusted by calculating the first emotional index.

[0082] (3) While adjusting the in-vehicle environment state (i.e., when performing the above (1) or (2)), if it is detected that the emotional changes of the passengers continue to deteriorate, then generate a warning message and take compensation measures.

[0083] Optionally, based on the passenger emotional demand information, determine the target operating state parameters of the vehicle, including:

[0084] Based on the passenger emotion demand information corresponding to the sightseeing vehicle, determine the emotion category of each passenger in the sightseeing vehicle, and determine the emotion label corresponding to each emotion category to obtain emotion label data;

[0085] In the case that the emotion label data includes only one emotion label, based on the preset route adjustment database, adjust the driving route to the preset route corresponding to the emotion label included in the emotion label data; wherein, the route adjustment database includes multiple emotion labels and the preset route corresponding to each emotion label;

[0086] In the case that the emotion label data includes at least two emotion labels, obtain the second identity type of each passenger;

[0087] Obtain the third weight corresponding to the second identity type; different second identity types correspond to different third weights;

[0088] Based on the second initial weight and the third weight of each passenger, perform weighted summation on each emotion label to determine the second emotion index corresponding to each emotion label;

[0089] Sort the second emotion indexes from largest to smallest, and adjust the driving route to the preset route corresponding to the emotion label with the maximum second emotion index.

[0090] In this embodiment, the dynamic path planning based on emotion perception, the recommendation of personalized routes, and the enhanced immersion improve the sightseeing experience of passengers.

[0091] In this embodiment, each emotion label corresponds to a different preset route, specifically as follows:

[0092] (1) Excitement: Detour to an open view section.

[0093] (2) Fatigue: Shorten the route, with limited shaded areas.

[0094] (3) Anxiety: Skip attractions with a queue of more than 15 minutes.

[0095] In this embodiment, the second identity type includes VIP passengers, children, the elderly, male passengers, female passengers, etc.

[0096] Then, balance the sightseeing experiences of passengers with different emotions through the emotion index. For example:

[0097] The second initial weights of all passengers are the same, which can be a. The emotion label of passenger A is anxiety, the first identity type is a VIP passenger, and the third weight is b1. The emotion of passenger B is excitement, and the second identity type is the elderly, and the third weight is b2.

[0098] The second emotional index corresponding to the emotional label of anxiety is a + b1;

[0099] The second emotional index corresponding to the emotional label of excitement is a + b2;

[0100] By comparing the magnitudes of a + b1 and a + b2, if the second emotional index corresponding to anxiety is greater, the preset route is to skip the scenic spots with a queue time of more than 15 minutes.

[0101] Optionally, based on each emotional label, adjusting the driving route of the sightseeing vehicle further includes:

[0102] Receiving the passenger flow density, meteorological data, and road condition information of the target area in real time;

[0103] Based on the passenger flow density, meteorological data, and road condition information, determining whether there is a warning situation in the target area;

[0104] In the case where there is a warning situation in the target area, adjusting the in-vehicle environment state to the emergency environment corresponding to the warning situation, and adjusting the driving route to the risk avoidance route corresponding to the warning situation; wherein, different warning situations correspond to different risk avoidance routes and emergency environments.

[0105] In this embodiment, the target area can be the area corresponding to the tourist scenic area, the passenger flow density can be the number of people in each scenic spot, the meteorological data is the real-time weather condition of the tourist scenic area, and the road condition information can be the sudden situations or traffic accidents on each road of the tourist scenic area, etc.

[0106] In this embodiment, the in-vehicle system on the sightseeing vehicle receives the passenger flow density, meteorological data, and road condition information in real time through V2X (Vehicle-to-Everything, vehicle networking communication technology) or 5G technology, shortening the response time for sudden weather / congestion events and improving the success rate of risk avoidance.

[0107] In this embodiment, the corresponding situations of different warning situations, different risk avoidance routes, and different emergency environments include but are not limited to the following:

[0108] (1) The warning situation is a sudden rainstorm: Immediately navigate to the nearest rain shelter or indoor parking lot, increase the in-vehicle lighting brightness, and project a virtual clear sky;

[0109] (2) The warning situation is road congestion or an accident: Initiate a U-turn and detour, and simultaneously trigger in-vehicle entertainment interaction to relieve anxiety.

[0110] Optionally, based on each emotional label, adjusting the in-vehicle environment state information and the driving route of the sightseeing vehicle so that the in-vehicle environment state and the route meet the emotional needs of each passenger further includes:

[0111] Obtain the emotion regulation strategies for sightseeing vehicles; among them, the emotion regulation strategies include the strategies for adjusting the in-vehicle environment state and the driving route formulated according to the emotional changes of passengers;

[0112] Obtain the satisfaction degree of users for the emotion regulation strategies implemented for sightseeing vehicles;

[0113] Take the emotion regulation strategies with satisfaction degree lower than the threshold as target strategies, and analyze the target strategies to determine the negative feedback information;

[0114] Based on the negative feedback information, determine the environmental adaptation strategies for the in-vehicle environment state; among them, the environmental adaptation strategies are to eliminate the negative feedback information by adjusting the in-vehicle environment state;

[0115] Push the environmental adaptation strategies to all sightseeing vehicles.

[0116] In this embodiment, through the three-layer architecture of edge computing-blockchain evidence storage-federated evolution, the continuous optimization and secure sharing of environmental adaptation strategies are realized, the verified environmental adaptation strategies are shared across vehicles, the data islands in scenic spots are broken, a global intelligent tourism knowledge base is constructed, and the operation and maintenance costs are reduced, and the operation efficiency is improved.

[0117] In this embodiment, all emotion regulation strategies need to be stored on the cloud platform for convenient centralized retrieval. The emotion regulation strategies can be stored in the form of an emotion note-strategy mapping table, for example, "high anxiety-release lavender fragrance + switch to the main road route".

[0118] In this embodiment, V2X or 5G technology is used to push the environmental adaptation strategies to all sightseeing vehicles, and only incremental update packages are transmitted to reduce bandwidth occupancy. In addition, if the environmental adaptation strategies involve safety-related strategies, they can be pushed in real time, and other types of environmental adaptation strategies can be downloaded when the vehicle is idle. After the new strategies are pushed, the satisfaction degree is improved and the complaint rate is decreased in the same type of scenarios, and the closed-loop takes effect.

[0119] In this embodiment, the threshold can be set according to the actual situation. For example, if the full score is 5 points, 4.5 points can be set as the threshold.

[0120] Illustrate with examples:

[0121] (1) Emotion regulation strategy: Detect "high anxiety" passengers-release lavender fragrance + switch to the main road route.

[0122] (2) Data upload: After multiple sightseeing vehicles in the fleet execute, the average satisfaction degree is 4.2 points (not reaching the threshold of 4.5). Among them, after analyzing the emotion regulation strategies of 2 vehicles with scores below 4.5, the reasons for the negative feedback information are both: the strong fragrance causes dizziness.

[0123] (3) Cloud analysis: Based on the analysis of negative feedback information, it is found that the vehicles are all in high-temperature environments (>30°C), resulting in an accelerated fragrance volatilization rate.

[0124] (4) Environment adaptation strategy: Add an environment adaptation rule. When the temperature > 28°C, the fragrance concentration is automatically reduced by 40%.

[0125] (5) Strategy distribution: Push the environment adaptation strategy to other vehicles through vehicle-to-everything (V2X) or 5G to achieve data sharing.

[0126] As Figure 2 shown, the present invention provides a sightseeing vehicle control system 100 based on passenger emotions, including:

[0127] A passenger information acquisition module 101, configured to acquire the corresponding passenger information on the sightseeing vehicle; wherein, the passenger information includes the temperature information on the passenger's body surface, the pressure distribution information of the seat, and the voice information of the passenger;

[0128] A passenger emotion demand information determination module 102, configured to determine the emotion demand of each passenger based on the passenger information, and obtain the passenger emotion demand information corresponding to the sightseeing vehicle;

[0129] A target motion state parameter determination module 103, configured to determine the target operating state parameters of the vehicle based on the passenger emotion demand information, and the target operating state parameters include the in-vehicle environment state and the driving route of the vehicle;

[0130] A sightseeing experience dynamic adjustment module 104, configured to control the sightseeing vehicle based on the target operating state parameters to meet the emotion demands of the passengers corresponding to the sightseeing vehicle.

[0131] Optionally, the target motion state parameter determination module 103 is specifically configured to:

[0132] Based on the passenger emotion demand information corresponding to the sightseeing vehicle, determine the emotion category of each passenger in the sightseeing vehicle, and determine the emotion label corresponding to each emotion category to obtain emotion label data;

[0133] In the case where the emotion label data includes only one emotion label, based on a preset environment adjustment database, adjust the in-vehicle environment state to the preset environment corresponding to the emotion label included in the emotion label data; wherein, the environment adjustment database includes multiple emotion labels and the preset environment corresponding to each emotion label;

[0134] In the case where the emotion label data includes at least two emotion labels, use a dynamic balance strategy to adjust the in-vehicle environment state; wherein, the dynamic balance strategy is to set different preset environments according to different emotion labels so that the in-vehicle environment state meets the emotion demands of different emotion passengers.

[0135] Optionally, the target motion state parameter determination module 103 is specifically configured to:

[0136] For passengers corresponding to the same emotion label, adjust the location area where the passengers are located to the preset environment corresponding to the emotion label;

[0137] And / or, obtain the first identity type and historical preference behaviors of each passenger, and obtain the first weight corresponding to the first identity type and the second weight corresponding to the historical preference behaviors; wherein, different first identity types correspond to different first weights, and different historical preference behaviors correspond to different second weights;

[0138] Based on the first initial weight, the first weight, and the second weight of each passenger, perform weighted summation on each emotion label to determine the first emotion index corresponding to each emotion label;

[0139] Sort the first emotion indices from largest to smallest, and adjust the in-vehicle environment state to the preset environment corresponding to the emotion label with the maximum first emotion index.

[0140] Optionally, the target motion state parameter determination module 103 is further configured to:

[0141] Continuously monitor the changes in the emotion labels of each passenger. If the emotion type of the emotion label of any passenger deteriorates continuously, generate a warning message to notify the management staff.

[0142] Optionally, the target motion state parameter determination module 103 is specifically configured to:

[0143] Based on the passenger emotion demand information corresponding to the sightseeing vehicle, determine the emotion category of each passenger in the sightseeing vehicle, and determine the emotion label corresponding to each emotion category to obtain emotion label data;

[0144] In the case where the emotion label data includes only one emotion label, based on the preset route adjustment database, adjust the driving route to the preset route corresponding to the emotion label included in the emotion label data; wherein, the route adjustment database includes multiple emotion labels and the preset route corresponding to each emotion label;

[0145] In the case where the emotion label data includes at least two emotion labels, obtain the second identity type of each passenger;

[0146] Obtain the third weight corresponding to the second identity type; wherein, different second identity types correspond to different third weights;

[0147] Based on the second initial weight and the third weight of each passenger, perform weighted summation on each emotion label to determine the second emotion index corresponding to each emotion label;

[0148] Sort the second emotional indices from largest to smallest, and adjust the driving route to the preset route corresponding to the emotional label corresponding to the maximum value of the second emotional index.

[0149] Optionally, the sightseeing experience dynamic adjustment module 104 is further configured to:

[0150] Receive the passenger flow density, meteorological data, and road condition information of the target area in real time;

[0151] Based on the passenger flow density, meteorological data, and road condition information, determine whether there is a warning situation in the target area;

[0152] In the case where there is a warning situation in the target area, adjust the in-vehicle environment state to the emergency environment corresponding to the warning situation, and adjust the driving route to the evasion route corresponding to the warning situation; wherein, different warning situations correspond to different evasion routes and emergency environments.

[0153] Optionally, the system further includes a push module, which is specifically configured to:

[0154] Obtain the emotional regulation strategy of the sightseeing vehicle; wherein, the emotional regulation strategy includes the strategy for adjusting the in-vehicle environment state and the strategy for adjusting the driving route formulated according to the emotional changes of the passengers;

[0155] Obtain the satisfaction degree of the user for the emotional regulation strategy executed by the sightseeing vehicle;

[0156] Regard the emotional regulation strategy with a satisfaction degree lower than the threshold as the target strategy, and analyze the target strategy to determine the negative feedback information;

[0157] Based on the negative feedback information, determine the environmental adaptation strategy for the in-vehicle environment state; wherein, the environmental adaptation strategy is to eliminate the negative feedback information by adjusting the in-vehicle environment state;

[0158] Push the environmental adaptation strategy to all sightseeing vehicles.

[0159] An embodiment of the present invention further provides a computer-readable storage medium, in which instructions are stored. When the instructions run on a terminal device, the terminal device is enabled to execute the steps of a sightseeing vehicle control method based on passenger emotions as described above.

[0160] An embodiment of the present invention further provides an electronic device, including a memory, a processor, and a program stored on the memory and running on the processor. When the processor executes the program, it implements the steps of a sightseeing vehicle control method based on passenger emotions as described above.

[0161] Those skilled in the art of the present technology know that the present invention can be implemented as a system, a method, or a computer program product. Therefore, the present disclosure can be specifically implemented in the following forms: it can be entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, which is generally referred to as "circuit", "module", or "system" in this article. In addition, in some embodiments, the present invention can also be implemented in the form of a computer program product in one or more computer-readable media, which contain computer-readable program codes. Computer-readable storage media can be, for example, but not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above.

[0162] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0163] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A sightseeing vehicle control method based on passenger emotions, characterized in that, Including: Obtaining passenger information corresponding to the sightseeing vehicle; wherein, the passenger information includes temperature information of the passenger's body surface, pressure distribution information of the seat, and voice information of the passenger; Based on the passenger information, determining the emotional needs of each passenger to obtain the passenger emotional need information corresponding to the sightseeing vehicle; Based on the passenger emotional need information, determining the target operating state parameters of the vehicle, where the target operating state parameters include the in-vehicle environment state and the driving route of the vehicle; Based on the target operating state parameters, controlling the sightseeing vehicle to meet the emotional needs of the passengers corresponding to the sightseeing vehicle.

2. The method according to claim 1, wherein The determining the target operating state parameters of the vehicle based on the passenger emotional need information includes: Based on the passenger emotional need information corresponding to the sightseeing vehicle, determining the emotional category of each passenger in the sightseeing vehicle and determining the emotional label corresponding to each emotional category to obtain emotional label data; In the case where the emotional label data only includes one emotional label, based on a preset environment adjustment database, adjusting the in-vehicle environment state to the preset environment corresponding to the emotional label included in the emotional label data; wherein, the environment adjustment database includes multiple emotional labels and the preset environment corresponding to each emotional label; In the case where the emotional label data includes at least two emotional labels, using a dynamic balance strategy to adjust the in-vehicle environment state; wherein, the dynamic balance strategy is to set different preset environments according to different emotional labels so that the in-vehicle environment state meets the emotional needs of passengers with different emotions.

3. The method according to claim 2, wherein The dynamic balance strategy includes: For passengers corresponding to the same emotional label, adjusting the location area where the passengers are located to the preset environment corresponding to the emotional label; And / or, obtaining the first identity type and historical preference behaviors of each passenger, and obtaining the first weight corresponding to the first identity type and the second weight corresponding to the historical preference behaviors; wherein, different first identity types correspond to different first weights, and different historical preference behaviors correspond to different second weights; Based on the first initial weight, the first weight, and the second weight of each passenger, performing a weighted sum on each emotional label to determine the first emotional index corresponding to each emotional label; Sorting the first emotional indexes from largest to smallest, and adjusting the in-vehicle environment state to the preset environment corresponding to the emotional label corresponding to the maximum value of the first emotional index.

4. The method according to claim 3, wherein The dynamic balance strategy further includes: Continuously monitoring the change of the emotional label of each passenger. If the emotional type of the emotional label of any passenger deteriorates continuously, generating a warning message to notify the management personnel.

5. The method according to claim 1, wherein The determining the target operating state parameters of the vehicle based on the passenger emotional need information includes: Based on the passenger emotional need information corresponding to the sightseeing vehicle, determining the emotional category of each passenger in the sightseeing vehicle and determining the emotional label corresponding to each emotional category to obtain emotional label data; In the case where the emotion label data only includes one emotion label, based on a preset route adjustment database, adjust the driving route to a preset route corresponding to the emotion label included in the emotion label data; wherein, the route adjustment database includes multiple emotion labels and a preset route corresponding to each emotion label; In the case where the emotion label data includes at least two emotion labels, obtain the second identity type of each passenger; Obtain the third weight corresponding to the second identity type; wherein different second identity types correspond to different third weights; Based on the second initial weight of each passenger and the third weight, perform weighted summation on each emotion label to determine the second emotion index corresponding to each emotion label; Sort the second emotion indices from largest to smallest, and adjust the driving route to the preset route corresponding to the emotion label corresponding to the maximum value of the second emotion index.

6. The method according to any one of claims 1-5, characterized in that, Based on the target operating state parameters, controlling the sightseeing vehicle further includes: Receiving in real time the passenger flow density, meteorological data, and road condition information of the target area; Based on the passenger flow density, meteorological data, and road condition information, determine whether there is a warning situation in the target area; In the case where there is a warning situation in the target area, adjust the in-vehicle environment state to the emergency environment corresponding to the warning situation, and adjust the driving route to the evacuation route corresponding to the warning situation; wherein different warning situations correspond to different evacuation routes and emergency environments.

7. The method according to any one of claims 1-5, characterized in that, The method further includes: Obtain the emotion regulation strategy of the sightseeing vehicle; wherein the emotion regulation strategy includes a strategy for adjusting the in-vehicle environment state and a strategy for adjusting the driving route formulated according to the emotional changes of passengers; Obtain the satisfaction degree of the user for implementing the emotion regulation strategy for the sightseeing vehicle; Take the emotion regulation strategy with a satisfaction degree lower than the threshold as the target strategy, and analyze the target strategy to determine negative feedback information; Based on the negative feedback information, determine the environmental adaptation strategy for the in-vehicle environment state; wherein the environmental adaptation strategy is to eliminate negative feedback information by adjusting the in-vehicle environment state; Push the environmental adaptation strategy to all sightseeing vehicles.

8. A sightseeing vehicle control system based on passenger emotions, characterized in that, including: A passenger information acquisition module, configured to acquire the corresponding passenger information on the sightseeing vehicle; wherein the passenger information includes the temperature information on the passenger's body surface, the pressure distribution information of the seat, and the voice information of the passenger; A passenger emotion demand information determination module, configured to determine the emotion demand of each passenger based on the passenger information to obtain the passenger emotion demand information corresponding to the sightseeing vehicle; A target motion state parameter determination module, configured to determine the target operating state parameters of the vehicle based on the passenger emotion demand information, and the target operating state parameters include the in-vehicle environment state and the driving route of the vehicle; A sightseeing experience dynamic adjustment module, configured to control the sightseeing vehicle based on the target operating state parameters to meet the emotion demands of the passengers corresponding to the sightseeing vehicle.

9. A computing device, comprising a memory, a processor, and a program stored on the memory and running on the processor, characterized in that, When the processor executes the program, it implements the steps of a method for controlling a sightseeing vehicle based on passenger emotions according to any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, Instructions are stored in a computer-readable storage medium. When the instructions are run on a terminal device, the terminal device is caused to execute the steps of a method for controlling a sightseeing vehicle based on passenger emotions according to any one of claims 1-7.

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