Automobile air conditioner parameter adjusting method and system based on somatosensory interaction and electronic equipment

Abstract

The invention provides an automobile air conditioner parameter adjusting method and system based on somatosensory interaction and electronic equipment, and the method comprises the steps: carrying out the initialization configuration of a multi-class sensor in an automobile, and controlling the multi-class sensor to collect the somatosensory data of a user in the automobile based on the initialization configuration result; analyzing the somatosensory data based on a master control center of the automobile air conditioner, and determining a parameter adjustment strategy of the automobile air conditioner in combination with an air conditioner adjustment logic; and the parameters of the automobile air conditioner are adjusted based on the parameter adjustment strategy, autonomous adjustment action parameters existing in the user are monitored in real time, and after the parameter adjustment strategy is subjected to personalized correction based on the autonomous adjustment action parameters, the parameter adjustment strategy is associated with the corresponding user personal account. The adjusting requirements of different users for the air conditioner parameters are conveniently met, meanwhile, the accuracy and reliability of adjusting the automobile air conditioner parameters are improved, and the effect of controlling the automobile air conditioner is greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of device control, and in particular to a method, system and electronic equipment for adjusting automobile air-conditioning parameters based on somatosensory interaction. Background Art

[0002] At present, cars have become an indispensable tool for people to travel, and car air conditioners, as components of cars, provide convenience for people to effectively adjust the temperature inside the car when traveling. Therefore, it is particularly important to effectively adjust the parameters of car air conditioners.

[0003] However, traditional car air conditioning parameter adjustment mainly relies on users to manually operate the control panel, using knobs and buttons to adjust parameters such as temperature, wind speed, and wind direction. This method may distract users while driving and affect driving safety. In addition, manual adjustment is difficult to accurately adjust according to the human body's physical comfort, resulting in unstable car air conditioning parameter adjustment, making it difficult to achieve optimal comfort, and greatly reducing the effectiveness of car air conditioning parameter adjustment.

[0004] Therefore, in order to overcome the above-mentioned defects, the present invention provides a method, system and electronic device for adjusting automobile air-conditioning parameters based on somatosensory interaction. Summary of the Invention

[0005] The present invention provides a method, system and electronic device for adjusting automobile air-conditioning parameters based on somatosensory interaction, which are used to initialize and configure multiple categories of sensors to achieve comprehensive and effective collection of somatosensory data of users in the car according to the initialization configuration results, providing data support for adjusting the automobile air-conditioning parameters. Secondly, the somatosensory data is analyzed by the main control center of the automobile air-conditioning, and a parameter adjustment strategy for the automobile air-conditioning is formulated in combination with the air-conditioning adjustment logic, providing a basis for adjusting the automobile air-conditioning parameters. Finally, the automobile air-conditioning parameters are adjusted, and the user's behavioral operations are monitored in real time. When there is autonomous operation, the parameter adjustment strategy is corrected and associated with the user's personal account, so as to meet the adjustment needs of different users for the air-conditioning parameters, while also improving the accuracy and reliability of the automobile air-conditioning parameter adjustment, greatly improving the effect of automobile air-conditioning control.

[0006] The present invention provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction, comprising:

[0007] Step 1: Initialize and configure multiple types of sensors inside the car, and based on the initialization configuration results, control the multiple types of sensors to collect somatosensory data of the user in the car;

[0008] Step 2: The vehicle air conditioner's main control center analyzes the sensory data and determines a parameter adjustment strategy for the vehicle air conditioner based on the air conditioner's adjustment logic.

[0009] Step 3: Adjust the car air conditioning parameters based on the parameter adjustment strategy, monitor the user's autonomous adjustment action parameters in real time, and associate the parameter adjustment strategy with the corresponding user personal account after personalizing the parameter adjustment strategy based on the autonomous adjustment action parameters.

[0010] Preferably, a method for adjusting automobile air conditioning parameters based on somatosensory interaction, in step 1, initializing and configuring multiple types of sensors inside the automobile, includes:

[0011] Extract the business attributes of multiple categories of sensors, and at the same time, obtain the spatial structure inside the car and the spatial function of each spatial structure;

[0012] Determine the key deployment locations of multiple categories of sensors inside the car based on the matching degree between spatial attributes and spatial functions of the spatial structure, and provide deployment guidance for multiple categories of sensors based on the key deployment locations;

[0013] Based on the deployment guidance results, the deployed multi-category sensors are connected to the vehicle air conditioner through communication links, and the multi-category sensors are initialized based on the communication link connection results.

[0014] At the same time, the working accuracy of different types of sensors is determined based on the data collection requirements, and the parameters of the corresponding types of sensors are configured based on the working accuracy.

[0015] Preferably, a method for adjusting automobile air conditioning parameters based on somatosensory interaction, in step 1, controls multiple types of sensors to collect somatosensory data of the user in the vehicle based on the initialization configuration result, including:

[0016] Based on the initialization configuration results, multiple types of sensors are coordinated on the same frequency, and then the multiple types of sensors are uniformly controlled based on the same frequency coordination results;

[0017] Based on the unified control results, the somatosensory data of users in the vehicle at the same time and space are collected using multiple types of sensors, and the somatosensory data are classified based on the data source;

[0018] Based on the time series, the classified somatosensory data in the same time and space are synchronously transmitted to the main control center of the car air conditioner.

[0019] Preferably, a method for adjusting parameters of an automobile air conditioner based on somatosensory interaction, in step 2, the somatosensory data is analyzed by the main control center of the automobile air conditioner, and a parameter adjustment strategy for the automobile air conditioner is determined in combination with the air conditioner adjustment logic, including:

[0020] Obtain the somatosensory data, and trace the location of the sensor terminal corresponding to each type of somatosensory data to obtain the monitoring space area inside the car corresponding to different somatosensory data;

[0021] The somatosensory data is spatially divided based on the monitoring space area to obtain a multi-category somatosensory data set under each monitoring space area. At the same time, the multi-category somatosensory data set under each monitoring space area is divided into individual units under each category, and the somatosensory data of each category under each monitoring space area are summed and averaged based on the individual unit division results to obtain multi-category somatosensory representation data under each monitoring space area;

[0022] Determine the target values corresponding to the multi-category somatosensory representation data respectively, and compare the target values with the corresponding reference value intervals to obtain the relative deviation relationship between the target values and the corresponding reference value intervals;

[0023] Based on the somatosensory state classification standard, the contribution factor of each type of somatosensory representation data to the somatosensory state is determined, and the somatosensory state of each monitoring space area is determined based on the contribution factor and relative deviation relationship. The somatosensory states include hot state, cold state, and uncomfortable state with poor air circulation;

[0024] At the same time, determining the current climate characteristics, and performing a first analysis on the air conditioning adjustment logic based on the climate characteristics to determine the parameter adjustment amount of the air conditioning adjustment logic per unit data change amount;

[0025] Performing a second analysis of the sensory state of each monitoring space area based on the parameter adjustment amount under the unit data change amount, and determining the adjustment amount of the temperature, wind speed and wind direction in each monitoring space area based on the second analysis result;

[0026] The adjustment amounts of temperature, wind speed and wind direction in each monitoring space area are summarized to obtain the parameter adjustment strategy for the automobile air conditioner.

[0027] Preferably, a method for adjusting parameters of an automobile air conditioner based on somatosensory interaction obtains a parameter adjustment strategy for the automobile air conditioner, comprising:

[0028] Analyze the parameter adjustment strategy of automobile air conditioners, determine the correlation between body sensor data and air conditioner parameter adjustment, conduct deep learning on the correlation, and build a relationship model between body sensor data and air conditioner parameter adjustment;

[0029] Receive the somatosensory interaction sensitivity set by the user on the car air conditioner in real time and add the somatosensory interaction sensitivity to the relationship model;

[0030] A parameter adjustment strategy analysis database is constructed based on the addition results, and the parameter adjustment strategy analysis database is deployed in multiple application environments.

[0031] Preferably, a method for adjusting automobile air conditioning parameters based on somatosensory interaction, in step 3, adjusting the automobile air conditioning parameters based on the parameter adjustment strategy, includes:

[0032] Read the parameter adjustment strategy, determine the automobile air conditioning parameter type in the parameter adjustment strategy and the adjustment parameter value corresponding to each parameter type;

[0033] Generate a parameter tracking factor according to the parameter type, and at the same time, record the real-time parameter value of the automobile air conditioner under the corresponding parameter type in real time according to the parameter tracking factor;

[0034] Determine the parameter adjustment amount under each parameter type according to the real-time parameter value under each parameter type and the corresponding adjustment parameter value;

[0035] A parameter adjustment instruction is generated according to the parameter type and the corresponding parameter adjustment amount, and the corresponding parameter type is controlled to perform parameter adjustment according to the parameter adjustment instruction until the parameter adjustment value corresponding to the automobile air conditioning parameter type is reached.

[0036] Preferably, a method for adjusting automobile air conditioning parameters based on somatosensory interaction, in step 3, real-time monitoring of the user's autonomous adjustment action parameters, includes:

[0037] S301: When a user's autonomous adjustment action is detected, an adjustment request is generated, and a response is made based on the adjustment request to determine a target adjustment parameter;

[0038] S302: Locating policy parameters corresponding to the parameter adjustment policy based on the target adjustment parameter, and calculating the absolute difference between the target adjustment parameter and the policy parameter;

[0039] S303: Obtain a preset difference threshold, and compare the preset difference threshold with the absolute difference;

[0040] S304: When the absolute difference is less than or equal to the preset difference threshold, locating a target policy in the parameter adjustment policy based on the policy parameters; updating the target policy according to the absolute difference, and completing the modification of the parameter adjustment policy based on the update result;

[0041] S305: When the absolute difference is greater than the preset difference threshold, a feedback signal is generated and transmitted to the display screen for display confirmation. When the user enters a confirmation instruction, step S304 is repeated to complete the correction of the parameter adjustment strategy.

[0042] Preferably, a method for adjusting automobile air conditioning parameters based on somatosensory interaction, in step 3, after completing personalized modification of the parameter adjustment strategy, associating it with the corresponding user personal account, includes:

[0043] The personalized modified parameter adjustment strategy is used as the target parameter adjustment strategy, and at the same time, the real-time environmental characteristics based on the target parameter adjustment strategy are read;

[0044] Read the personal account of the current target user, and retrieve the air conditioning data parameter repository of the current target user according to the personal account;

[0045] Obtaining the information format of the air conditioning data parameter repository, determining an association mapping relationship based on the information format, and associating and mapping the target parameter adjustment strategy and the corresponding real-time environmental characteristics in the air conditioning data parameter repository based on the association mapping relationship;

[0046] At the same time, after the association mapping is completed, all historical target parameter adjustment strategies and corresponding real-time environmental characteristics are read from the air conditioning data parameter repository of the user's personal account;

[0047] Read the historical target parameter adjustment strategy, determine the parameter adjustment characteristics, and use the parameter adjustment characteristics as the vertical learning element and the corresponding real-time environment characteristics as the horizontal learning element;

[0048] The vertical learning element and the horizontal learning element are input into the learning layer of the preset learning model in parallel for learning. At the same time, an adaptive parameter adjustment model based on the current target user is constructed according to the learning results.

[0049] The target user's personal account is used as the model startup tag of the adaptive parameter adjustment model. When the target user logs in to the personal account, the car air-conditioning parameters are automatically controlled and adjusted based on the adaptive parameter adjustment model.

[0050] The present invention provides a vehicle air conditioning parameter adjustment system based on somatosensory interaction, comprising:

[0051] The data acquisition module is used to initialize and configure multiple types of sensors inside the car and control the multiple types of sensors to collect the body sensory data of the user in the car based on the initialization configuration results;

[0052] A strategy formulation module is used to analyze the body sensor data based on the main control center of the car air conditioner and determine the parameter adjustment strategy for the car air conditioner in combination with the air conditioner adjustment logic;

[0053] The strategy optimization and management module is used to adjust the automobile air-conditioning parameters based on the parameter adjustment strategy, monitor the user's autonomous adjustment action parameters in real time, and associate the parameter adjustment strategy with the corresponding user's personal account after personalizing the parameter adjustment strategy based on the autonomous adjustment action parameters.

[0054] The present invention provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and capable of running on the processor;

[0055] When the computer program is executed by a processor, the steps of any one of the methods for adjusting automobile air-conditioning parameters based on somatosensory interaction are implemented.

[0056] Compared with the prior art, the present invention has the following beneficial effects:

[0057] By initializing and configuring multiple categories of sensors, comprehensive and effective collection of the somatosensory data of users in the car can be achieved based on the initialization configuration results, providing data support for adjusting the parameters of the car air-conditioning. Secondly, the somatosensory data is analyzed by the main control center of the car air-conditioning, and the parameter adjustment strategy of the car air-conditioning is formulated in combination with the air-conditioning adjustment logic, providing a basis for adjusting the parameters of the car air-conditioning. Finally, the car air-conditioning parameters are adjusted, and the user's behavior and operations are monitored in real time. When there is autonomous operation, the parameter adjustment strategy is corrected and associated with the user's personal account, so as to meet the adjustment needs of different users for the air-conditioning parameters. At the same time, it also improves the accuracy and reliability of the adjustment of the car air-conditioning parameters, greatly improving the control effect of the car air-conditioning.

[0058] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be achieved and obtained through the structures specifically pointed out in this application document.

[0059] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0061] Figure 1 This is a flow chart of a method for adjusting automobile air-conditioning parameters based on somatosensory interaction in an embodiment of the present invention;

[0062] Figure 2 This is a flowchart of step 1 in a method for adjusting automobile air-conditioning parameters based on somatosensory interaction in Example 2 of the present invention;

[0063] Figure 3 This is a structural diagram of an automobile air-conditioning parameter adjustment system based on somatosensory interaction in an embodiment of the present invention. DETAILED DESCRIPTION

[0064] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0065] Example 1:

[0066] This embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction. Figure 1As shown, including:

[0067] Step 1: Initialize and configure multiple types of sensors inside the car, and based on the initialization configuration results, control the multiple types of sensors to collect somatosensory data of the user in the car;

[0068] Step 2: The vehicle air conditioner's main control center analyzes the sensory data and determines a parameter adjustment strategy for the vehicle air conditioner based on the air conditioner's adjustment logic.

[0069] Step 3: Adjust the car air conditioning parameters based on the parameter adjustment strategy, monitor the user's autonomous adjustment action parameters in real time, and associate the parameter adjustment strategy with the corresponding user personal account after personalizing the parameter adjustment strategy based on the autonomous adjustment action parameters.

[0070] In this embodiment, the multiple types of sensors include temperature sensors and humidity sensors.

[0071] In this embodiment, the initialization configuration refers to establishing communication connections between the multiple types of sensors and the automobile air conditioner, and configuring the accuracy of the multiple types of sensors to ensure accurate and effective collection of body sensory data.

[0072] In this embodiment, the somatosensory data includes the user's body surface temperature and palm humidity in the car, thereby determining whether the user is in a hot or cold state.

[0073] In this embodiment, the air conditioning adjustment logic refers to a mechanism for determining whether the temperature of the automobile air conditioning should be increased or decreased, the wind speed should be increased or decreased, and the direction of the wind when the vital sign data takes different values.

[0074] In this embodiment, the parameter adjustment strategy refers to the result obtained after determining the specific adjustment values of the temperature, wind force and wind direction of the automobile air conditioner, that is, a solution that can directly adjust the operating parameters of the automobile air conditioner.

[0075] In this embodiment, the autonomous adjustment action parameters refer to the specific data of the user adjusting the working parameters of the automobile air conditioner after adjusting the parameters of the automobile air conditioner through the parameter adjustment strategy, for example, the user actively lowers the temperature of the adjusted air conditioner by one degree.

[0076] In this embodiment, the user's personal account is known in advance, and the personal account corresponds to the user one-to-one.

[0077] The beneficial effects of the above technical solution are: by initializing and configuring multiple categories of sensors, the physical sensory data of users in the car can be comprehensively and effectively collected according to the initialization configuration results, providing data support for adjusting the car air-conditioning parameters; secondly, the physical sensory data is analyzed by the main control center of the car air-conditioning, and the parameter adjustment strategy of the car air-conditioning is formulated in combination with the air-conditioning adjustment logic, providing a basis for adjusting the car air-conditioning parameters; finally, the car air-conditioning parameters are adjusted, and the user's behavior operations are monitored in real time, so that when there is autonomous operation, the parameter adjustment strategy is corrected and associated with the user's personal account, so as to meet the adjustment needs of different users for the air-conditioning parameters, while also improving the accuracy and reliability of the adjustment of the car air-conditioning parameters, greatly improving the control effect of the car air-conditioning.

[0078] Example 2:

[0079] Based on Example 1, this embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction, such as Figure 2 As shown, in step 1, the multiple types of sensors inside the car are initialized and configured, including:

[0080] Step 101: Extract the service attributes of multiple categories of sensors and simultaneously obtain the spatial structure of the vehicle interior and the spatial function of each spatial structure;

[0081] Step 102: Determine key deployment locations of multiple types of sensors inside the vehicle based on the matching degree between the spatial attributes and the spatial functions of the spatial structure, and provide deployment guidance for the multiple types of sensors based on the key deployment locations;

[0082] Step 103: Based on the deployment guidance result, the deployed multi-category sensors are connected to the automobile air conditioner through a communication link, and the multi-category sensors are initialized based on the communication link connection result;

[0083] Step 104: At the same time, the working accuracy of sensors of different categories is determined based on the data collection requirements, and parameters of the sensors of corresponding categories are configured based on the working accuracy.

[0084] In this embodiment, the service attribute refers to the type of service performed by each category of sensors.

[0085] In this embodiment, the spatial function refers to the spatial category of each spatial structure, such as the driver's seat, the co-driver's seat, the steering wheel, and the seat.

[0086] In this embodiment, the key deployment location refers to a location where sensors need to be deployed, that is, a location where somatosensory data can be effectively collected.

[0087] The beneficial effect of the above technical solution is that by initializing and configuring parameters of multiple categories of sensors, it is convenient to comprehensively and effectively collect user body sensory data through multiple categories of sensors, which provides convenience for adjusting automobile air conditioning parameters.

[0088] Example 3:

[0089] Based on Example 1, this embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction. In step 1, based on the initialization configuration result, multiple types of sensors are controlled to collect somatosensory data of the user in the vehicle, including:

[0090] Based on the initialization configuration results, multiple types of sensors are coordinated on the same frequency, and then the multiple types of sensors are uniformly controlled based on the same frequency coordination results;

[0091] Based on the unified control results, the somatosensory data of users in the vehicle at the same time and space are collected using multiple types of sensors, and the somatosensory data are classified based on the data source;

[0092] Based on the time series, the classified somatosensory data in the same time and space are synchronously transmitted to the main control center of the car air conditioner.

[0093] In this embodiment, the same-frequency coordination refers to associating multiple types of sensors at the same time and the same frequency, that is, being able to control multiple types of sensors at the same time.

[0094] In this embodiment, the data source of the somatosensory data refers to the sensor corresponding to the somatosensory data.

[0095] The beneficial effects of the above technical solution are: by coordinating the frequency of multiple categories of sensors, unified control of multiple categories of sensors is ensured, thereby realizing effective collection of consent data of users in the car. At the same time, the collected somatosensory data is transmitted to the main control center of the car air conditioner, which facilitates the analysis of the somatosensory data, thereby providing convenience and guarantee for determining the parameter adjustment strategy.

[0096] Example 4:

[0097] Based on Example 1, this embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction. In step 2, the somatosensory data is analyzed by the main control center of the automobile air conditioning, and a parameter adjustment strategy for the automobile air conditioning is determined in combination with the air conditioning adjustment logic, including:

[0098] Obtain the somatosensory data, and trace the location of the sensor terminal corresponding to each type of somatosensory data to obtain the monitoring space area inside the car corresponding to different somatosensory data;

[0099] The somatosensory data is spatially divided based on the monitoring space area to obtain a multi-category somatosensory data set under each monitoring space area. At the same time, the multi-category somatosensory data set under each monitoring space area is divided into individual units under each category, and the somatosensory data of each category under each monitoring space area are summed and averaged based on the individual unit division results to obtain multi-category somatosensory representation data under each monitoring space area;

[0100] Determine the target values corresponding to the multi-category somatosensory representation data respectively, and compare the target values with the corresponding reference value intervals to obtain the relative deviation relationship between the target values and the corresponding reference value intervals;

[0101] Based on the somatosensory state classification standard, the contribution factor of each type of somatosensory representation data to the somatosensory state is determined, and the somatosensory state of each monitoring space area is determined based on the contribution factor and relative deviation relationship. The somatosensory states include hot state, cold state, and uncomfortable state with poor air circulation;

[0102] At the same time, determining the current climate characteristics, and performing a first analysis on the air conditioning adjustment logic based on the climate characteristics to determine the parameter adjustment amount of the air conditioning adjustment logic per unit data change amount;

[0103] Performing a second analysis of the sensory state of each monitoring space area based on the parameter adjustment amount under the unit data change amount, and determining the adjustment amount of the temperature, wind speed and wind direction in each monitoring space area based on the second analysis result;

[0104] The adjustment amounts of temperature, wind speed and wind direction in each monitoring space area are summarized to obtain the parameter adjustment strategy for the automobile air conditioner.

[0105] In this embodiment, location tracing refers to determining the deployment location of the sensor corresponding to each type of somatosensory data inside the car.

[0106] In this embodiment, the multi-category somatosensory data set refers to a plurality of different types of somatosensory data contained in each monitoring space area, for example, the somatosensory temperature of the main driver's seat, the humidity of the palm, and the user's heart rate, etc.

[0107] In this embodiment, the monomer division refers to distinguishing each category of vital sign data collected by different sensors, for example, distinguishing the vital sign data collected by different temperature sensors in the same monitoring space area.

[0108] In this embodiment, the multi-category somatosensory representation data refers to the result obtained by summing and averaging each category of somatosensory data in each monitoring space area.

[0109] In this embodiment, the target value refers to the specific numerical value corresponding to the multi-category somatosensory representation data.

[0110] In this embodiment, the reference value interval is set in advance.

[0111] In this embodiment, the somatosensory state classification standard is set in advance and is used to represent the basis or rule for classifying the somatosensory state.

[0112] In this embodiment, the contribution factor refers to the weight of the influence of each type of somatosensory representation data on the somatosensory state, and is a reference for determining the somatosensory state of the user.

[0113] In this embodiment, the climate feature refers to the current corresponding climate conditions, such as summer or winter.

[0114] The beneficial effect of the above technical solution is: by analyzing the somatosensory data through the main control center of the automobile air conditioner, the user's somatosensory state can be effectively determined, and then the parameter adjustment strategy of the automobile air conditioner can be accurately and effectively formulated based on the resulting climate characteristics and air conditioning adjustment logic, thereby ensuring the intelligence and reliability of the automobile air conditioning parameter adjustment.

[0115] Example 5:

[0116] Based on Example 4, this embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction, which obtains a parameter adjustment strategy for the automobile air conditioning, including:

[0117] Analyze the parameter adjustment strategy of automobile air conditioners, determine the correlation between body sensor data and air conditioner parameter adjustment, conduct deep learning on the correlation, and build a relationship model between body sensor data and air conditioner parameter adjustment;

[0118] Receive the somatosensory interaction sensitivity set by the user on the car air conditioner in real time and add the somatosensory interaction sensitivity to the relationship model;

[0119] A parameter adjustment strategy analysis database is constructed based on the addition results, and the parameter adjustment strategy analysis database is deployed in multiple application environments.

[0120] In this embodiment, the relationship model is used to represent the relative change relationship between the body sensory data and the adjustment of the air-conditioning parameters.

[0121] In this embodiment, the somatosensory interaction sensitivity refers to the sensitivity of the car air conditioner to respond to the somatosensory data required by the user, that is, the response of the car air conditioner when the user's somatosensory data changes to different degrees. When the somatosensory interaction sensitivity is high, once the somatosensory data changes, the car air conditioner needs to respond in a timely manner.

[0122] In this embodiment, multi-application environment deployment refers to applying the obtained parameter adjustment strategy analysis database in different environments, that is, generating corresponding parameter adjustment strategies according to different environments.

[0123] The beneficial effects of the above technical solution are: by analyzing the parameter adjustment strategy, a relationship model between somatosensory data and air-conditioning parameter adjustment is constructed; secondly, the somatosensory interaction sensitivity set by the user on the car air-conditioning is taken into consideration, and the relationship model is improved according to the somatosensory interaction sensitivity, thereby ensuring the adaptability and reliability of the parameter adjustment strategy execution in different application environments, and improving the intelligence and accuracy of the car air-conditioning parameter adjustment.

[0124] Example 6:

[0125] Based on Example 1, this embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction. In step 3, the automobile air conditioning parameters are adjusted based on the parameter adjustment strategy, including:

[0126] Read the parameter adjustment strategy, determine the automobile air conditioning parameter type in the parameter adjustment strategy and the adjustment parameter value corresponding to each parameter type;

[0127] Generate a parameter tracking factor according to the parameter type, and at the same time, record the real-time parameter value of the automobile air conditioner under the corresponding parameter type in real time according to the parameter tracking factor;

[0128] Determine the parameter adjustment amount under each parameter type according to the real-time parameter value under each parameter type and the corresponding adjustment parameter value;

[0129] A parameter adjustment instruction is generated according to the parameter type and the corresponding parameter adjustment amount, and the corresponding parameter type is controlled to perform parameter adjustment according to the parameter adjustment instruction until the parameter adjustment value corresponding to the automobile air conditioning parameter type is reached.

[0130] In this embodiment, the parameter tracking factor refers to a parameter for real-time tracking of automobile air-conditioning parameters, that is, the value of different parameter types can be determined in real time.

[0131] The beneficial effect of the above technical solution is that the automobile air-conditioning parameters are adjusted by the obtained parameter adjustment strategy, thereby ensuring the timeliness and reliability of the automobile air-conditioning parameter adjustment.

[0132] Example 7:

[0133] Based on Example 1, this embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction. In step 3, the autonomous adjustment action parameters of the user are monitored in real time, including:

[0134] S301: When a user's autonomous adjustment action is detected, an adjustment request is generated, and a response is made based on the adjustment request to determine a target adjustment parameter;

[0135] S302: Locating policy parameters corresponding to the parameter adjustment policy based on the target adjustment parameter, and calculating the absolute difference between the target adjustment parameter and the policy parameter;

[0136] S303: Obtain a preset difference threshold, and compare the preset difference threshold with the absolute difference;

[0137] S304: When the absolute difference is less than or equal to the preset difference threshold, locating a target policy in the parameter adjustment policy based on the policy parameters; updating the target policy according to the absolute difference, and completing the modification of the parameter adjustment policy based on the update result;

[0138] S305: When the absolute difference is greater than the preset difference threshold, a feedback signal is generated and transmitted to the display screen for display confirmation. When the user enters a confirmation instruction, step S304 is repeated to complete the correction of the parameter adjustment strategy.

[0139] In this embodiment, the target adjustment parameter refers to the specific adjustment behavior and adjustment value performed by the user.

[0140] In this embodiment, the policy parameter refers to the data corresponding to the target adjustment parameter in the parameter adjustment policy, that is, the data in the parameter adjustment policy that is consistent with the target adjustment parameter type.

[0141] In this embodiment, the absolute difference refers to the absolute value of the difference between the target adjustment parameter and the strategy parameter.

[0142] In this embodiment, the preset difference threshold is set in advance.

[0143] The beneficial effect of the above technical solution is: by monitoring the user's autonomous adjustment action parameters and analyzing the autonomous adjustment action parameters, the parameter adjustment strategy is corrected according to the user's autonomous adjustment action parameters, thereby ensuring the accuracy and reliability of the final parameter adjustment strategy, and also improving the accuracy of the automobile air-conditioning parameter adjustment.

[0144] Example 8:

[0145] Based on Example 1, this embodiment provides a method for adjusting automobile air conditioning parameters based on somatosensory interaction. In step 3, after completing the personalized modification of the parameter adjustment strategy, the method is associated with the corresponding user personal account, including:

[0146] The personalized modified parameter adjustment strategy is used as the target parameter adjustment strategy, and at the same time, the real-time environmental characteristics based on the target parameter adjustment strategy are read;

[0147] Read the personal account of the current target user, and retrieve the air conditioning data parameter repository of the current target user according to the personal account;

[0148] Obtaining the information format of the air conditioning data parameter repository, determining an association mapping relationship based on the information format, and associating and mapping the target parameter adjustment strategy and the corresponding real-time environmental characteristics in the air conditioning data parameter repository based on the association mapping relationship;

[0149] At the same time, after the association mapping is completed, all historical target parameter adjustment strategies and corresponding real-time environmental characteristics are read from the air conditioning data parameter repository of the user's personal account;

[0150] Read the historical target parameter adjustment strategy, determine the parameter adjustment characteristics, and use the parameter adjustment characteristics as the vertical learning element and the corresponding real-time environment characteristics as the horizontal learning element;

[0151] The vertical learning element and the horizontal learning element are input into the learning layer of the preset learning model in parallel for learning. At the same time, an adaptive parameter adjustment model based on the current target user is constructed according to the learning results.

[0152] The target user's personal account is used as the model startup tag of the adaptive parameter adjustment model. When the target user logs in to the personal account, the car air-conditioning parameters are automatically controlled and adjusted based on the adaptive parameter adjustment model.

[0153] In this embodiment, the real-time environmental characteristics refer to the environmental parameters corresponding to the target parameter adjustment strategy when it is currently in effect, including temperature and humidity.

[0154] In this embodiment, the air-conditioning data parameter storage library refers to a database that stores air-conditioning parameters of different users.

[0155] In this embodiment, the association mapping relationship refers to a condition or basis for associating the target parameter adjustment strategy with the corresponding real-time environment feature.

[0156] In this embodiment, the parameter adjustment feature refers to the user's adjustment habits when adjusting the automobile air-conditioning parameters, including the adjusted values and the like.

[0157] In this embodiment, the vertical learning element is the user's parameter adjustment feature, and the horizontal learning element is the real-time environment feature.

[0158] In this embodiment, the preset learning model is trained in advance.

[0159] In this embodiment, the adaptive parameter adjustment model refers to the result obtained by inputting the vertical learning element and the horizontal learning element in parallel into the learning layer of the preset learning model for learning, and the user's car air-conditioning parameters can be determined and retrieved accordingly based on the user's personal account.

[0160] In this embodiment, the model startup tag refers to the personal account of the target user, that is, the adaptive parameter adjustment model can be started and executed only when the personal account of the target user is logged in.

[0161] The beneficial effect of the above technical solution is: by associating the personalized modified parameter adjustment strategy with the corresponding user personal account, it is convenient to call the corresponding parameter adjustment strategy to adjust the automobile air-conditioning parameters accordingly when different users log in, thereby improving the user experience and the intelligence of the automobile air-conditioning parameter adjustment.

[0162] Example 9:

[0163] This embodiment provides a car air conditioning parameter adjustment system based on somatosensory interaction, such as Figure 3 As shown, including:

[0164] The data acquisition module is used to initialize and configure multiple types of sensors inside the car and control the multiple types of sensors to collect the body sensory data of the user in the car based on the initialization configuration results;

[0165] A strategy formulation module is used to analyze the body sensor data based on the main control center of the car air conditioner and determine the parameter adjustment strategy for the car air conditioner in combination with the air conditioner adjustment logic;

[0166] The strategy optimization and management module is used to adjust the automobile air-conditioning parameters based on the parameter adjustment strategy, monitor the user's autonomous adjustment action parameters in real time, and associate the parameter adjustment strategy with the corresponding user's personal account after personalizing the parameter adjustment strategy based on the autonomous adjustment action parameters.

[0167] The beneficial effects of the above technical solution are: by initializing and configuring multiple categories of sensors, the physical sensory data of users in the car can be comprehensively and effectively collected according to the initialization configuration results, providing data support for adjusting the car air-conditioning parameters; secondly, the physical sensory data is analyzed by the main control center of the car air-conditioning, and the parameter adjustment strategy of the car air-conditioning is formulated in combination with the air-conditioning adjustment logic, providing a basis for adjusting the car air-conditioning parameters; finally, the car air-conditioning parameters are adjusted, and the user's behavior operations are monitored in real time, so that when there is autonomous operation, the parameter adjustment strategy is corrected and associated with the user's personal account, so as to meet the adjustment needs of different users for the air-conditioning parameters, while also improving the accuracy and reliability of the adjustment of the car air-conditioning parameters, greatly improving the control effect of the car air-conditioning.

[0168] Example 10:

[0169] This embodiment provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor;

[0170] When the computer program is executed by the processor, the steps of the automobile air-conditioning parameter adjustment method based on somatosensory interaction as described in any one of Examples 1 to 8 are implemented.

[0171] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A method for adjusting automobile air conditioning parameters based on somatosensory interaction, characterized in that: include: Step 1: Initialize and configure multiple types of sensors inside the car, and based on the initialization configuration results, control the multiple types of sensors to collect somatosensory data of the user in the car; Step 2: The vehicle air conditioner's main control center analyzes the sensory data and determines a parameter adjustment strategy for the vehicle air conditioner based on the air conditioner's adjustment logic. Step 3: Adjust the car air conditioning parameters based on the parameter adjustment strategy, monitor the user's autonomous adjustment action parameters in real time, and associate the parameter adjustment strategy with the corresponding user personal account after personalizing the parameter adjustment strategy based on the autonomous adjustment action parameters.

2. The method for adjusting automobile air-conditioning parameters based on somatosensory interaction according to claim 1, characterized in that: In step 1, the various sensors inside the car are initialized and configured, including: Extract the business attributes of multiple categories of sensors and, at the same time, obtain the spatial structure inside the car and the spatial function of each spatial structure; Determine the key deployment locations of multiple categories of sensors inside the car based on the matching degree between spatial attributes and spatial functions of the spatial structure, and provide deployment guidance for multiple categories of sensors based on the key deployment locations; Based on the deployment guidance results, the deployed multi-category sensors are connected to the vehicle air conditioner through communication links, and the multi-category sensors are initialized based on the communication link connection results. At the same time, the working accuracy of different types of sensors is determined based on the data collection requirements, and the parameters of the corresponding types of sensors are configured based on the working accuracy.

3. The method for adjusting automobile air-conditioning parameters based on somatosensory interaction according to claim 1, characterized in that: In step 1, based on the initialization configuration results, multiple types of sensors are controlled to collect the user's body sensory data in the vehicle, including: Based on the initialization configuration results, multiple types of sensors are coordinated on the same frequency, and then the multiple types of sensors are uniformly controlled based on the same frequency coordination results; Based on the unified control results, the somatosensory data of the user in the vehicle at the same time and space is collected using multiple types of sensors, and the somatosensory data is classified based on the data source; Based on the time series, the classified somatosensory data in the same time and space are synchronously transmitted to the main control center of the car air conditioner.

4. The method for adjusting automobile air-conditioning parameters based on somatosensory interaction according to claim 1, characterized in that: In step 2, the main control center of the car air conditioner analyzes the body sensor data and determines the parameter adjustment strategy for the car air conditioner based on the air conditioner adjustment logic, including: Obtain the somatosensory data, and trace the location of the sensor terminal corresponding to each type of somatosensory data to obtain the monitoring space area inside the car corresponding to different somatosensory data; The somatosensory data is spatially divided based on the monitoring space area to obtain a multi-category somatosensory data set under each monitoring space area. At the same time, the multi-category somatosensory data set under each monitoring space area is divided into individual units under each category, and the somatosensory data of each category under each monitoring space area are summed and averaged based on the individual unit division results to obtain multi-category somatosensory representation data under each monitoring space area; Determine the target values corresponding to the multi-category somatosensory representation data respectively, and compare the target values with the corresponding reference value intervals to obtain the relative deviation relationship between the target values and the corresponding reference value intervals; Based on the somatosensory state classification standard, the contribution factor of each type of somatosensory representation data to the somatosensory state is determined, and the somatosensory state of each monitoring space area is determined based on the contribution factor and relative deviation relationship. The somatosensory states include hot state, cold state, and uncomfortable state caused by poor air circulation. At the same time, determining the current climate characteristics, and performing a first analysis on the air conditioning adjustment logic based on the climate characteristics to determine the parameter adjustment amount of the air conditioning adjustment logic per unit data change amount; Performing a second analysis of the sensory state of each monitoring space area based on the parameter adjustment amount under the unit data change amount, and determining the adjustment amount of the temperature, wind speed and wind direction in each monitoring space area based on the second analysis result; The adjustment amounts of temperature, wind speed and wind direction in each monitoring space area are summarized to obtain the parameter adjustment strategy for the automobile air conditioner.

5. The method for adjusting automobile air-conditioning parameters based on somatosensory interaction according to claim 4, characterized in that: Obtain the parameter adjustment strategy for the automobile air conditioner, including: Analyze the parameter adjustment strategy of automobile air conditioners, determine the correlation between body sensor data and air conditioner parameter adjustment, conduct deep learning on the correlation, and build a relationship model between body sensor data and air conditioner parameter adjustment; Receive the somatosensory interaction sensitivity set by the user on the car air conditioner in real time and add the somatosensory interaction sensitivity to the relationship model; A parameter adjustment strategy analysis database is constructed based on the addition results, and the parameter adjustment strategy analysis database is deployed in multiple application environments.

6. The method for adjusting automobile air-conditioning parameters based on somatosensory interaction according to claim 1, characterized in that: In step 3, the vehicle air conditioning parameters are adjusted based on the parameter adjustment strategy, including: Read the parameter adjustment strategy, determine the automobile air conditioning parameter type in the parameter adjustment strategy and the adjustment parameter value corresponding to each parameter type; Generate a parameter tracking factor according to the parameter type, and at the same time, record the real-time parameter value of the automobile air conditioner under the corresponding parameter type in real time according to the parameter tracking factor; Determine the parameter adjustment amount under each parameter type according to the real-time parameter value under each parameter type and the corresponding adjustment parameter value; A parameter adjustment instruction is generated according to the parameter type and the corresponding parameter adjustment amount, and the corresponding parameter type is controlled to perform parameter adjustment according to the parameter adjustment instruction until the parameter adjustment value corresponding to the automobile air conditioning parameter type is reached.

7. The method for adjusting automobile air conditioning parameters based on somatosensory interaction according to claim 1, characterized in that: In step 3, the user's presence is monitored in real time to autonomously adjust the action parameters, including: S301: When a user's autonomous adjustment action is detected, an adjustment request is generated, and a response is made based on the adjustment request to determine a target adjustment parameter; S302: Locating policy parameters corresponding to the parameter adjustment policy based on the target adjustment parameter, and calculating the absolute difference between the target adjustment parameter and the policy parameter; S303: Obtain a preset difference threshold, and compare the preset difference threshold with the absolute difference; S304: When the absolute difference is less than or equal to the preset difference threshold, locating a target policy in the parameter adjustment policy based on the policy parameters; updating the target policy according to the absolute difference, and completing the modification of the parameter adjustment policy based on the update result; S305: When the absolute difference is greater than the preset difference threshold, a feedback signal is generated and transmitted to the display screen for display confirmation. When the user enters a confirmation instruction, step S304 is repeated to complete the correction of the parameter adjustment strategy.

8. The method for adjusting automobile air conditioning parameters based on somatosensory interaction according to claim 1, characterized in that: In step 3, after completing the personalized modification of the parameter adjustment strategy, it is associated with the corresponding user personal account, including: The personalized modified parameter adjustment strategy is used as the target parameter adjustment strategy, and at the same time, the real-time environmental characteristics based on the target parameter adjustment strategy are read; Read the personal account of the current target user, and retrieve the air conditioning data parameter repository of the current target user according to the personal account; Obtaining the information format of the air conditioning data parameter repository, determining an association mapping relationship based on the information format, and associating and mapping the target parameter adjustment strategy and the corresponding real-time environmental characteristics in the air conditioning data parameter repository based on the association mapping relationship; At the same time, after the association mapping is completed, all historical target parameter adjustment strategies and corresponding real-time environmental characteristics are read from the air conditioning data parameter repository of the user's personal account; Read the historical target parameter adjustment strategy, determine the parameter adjustment characteristics, and use the parameter adjustment characteristics as the vertical learning element and the corresponding real-time environment characteristics as the horizontal learning element; The vertical learning element and the horizontal learning element are input into the learning layer of the preset learning model in parallel for learning. At the same time, an adaptive parameter adjustment model based on the current target user is constructed according to the learning results. The target user's personal account is used as the model startup tag of the adaptive parameter adjustment model. When the target user logs in to the personal account, the car air-conditioning parameters are automatically controlled and adjusted based on the adaptive parameter adjustment model.

9. A car air conditioning parameter adjustment system based on somatosensory interaction, characterized in that: include: The data acquisition module is used to initialize and configure multiple types of sensors inside the car and control the multiple types of sensors to collect the body sensory data of the user in the car based on the initialization configuration results; A strategy formulation module is used to analyze the body sensor data based on the main control center of the car air conditioner and determine the parameter adjustment strategy for the car air conditioner in combination with the air conditioner adjustment logic; The strategy optimization and management module is used to adjust the automobile air-conditioning parameters based on the parameter adjustment strategy, monitor the user's autonomous adjustment action parameters in real time, and associate the parameter adjustment strategy with the corresponding user's personal account after personalizing the parameter adjustment strategy based on the autonomous adjustment action parameters.

10. An electronic device, characterized in that: comprising a processor, a memory, and a computer program stored in the memory and operable to run on the processor; When the computer program is executed by a processor, the steps of the automobile air-conditioning parameter adjustment method based on somatosensory interaction as described in any one of claims 1 to 8 are implemented.

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