Control method and system for intelligent air conditioner in vehicle

Abstract

The invention relates to the technical field of vehicles, and provides an in-vehicle intelligent air conditioner control method and system. The method comprises the following steps: acquiring basic environment data of each area in a vehicle in real time; with optimal comfort evaluation as a target, pre-configuring a mapping relationship between the environmental data of each region and comfort evaluation parameters; obtaining a first evaluation weight coefficient of each region in the vehicle at the current moment based on the basic environment data of each region through a mapping relation between the environment data and a comfort evaluation parameter; calculating a first evaluation value of the total area in the vehicle at the current moment through a first environment comfort algorithm; preset judgment is carried out based on the first evaluation value, if the judgment result meets a first preset condition, the next step is carried out, and if the judgment result does not meet the first preset condition, an air conditioner intelligent regulation and control function is triggered; and if the judgment result meets the first preset condition, triggering a second environment comfort algorithm, and dynamically adjusting the second evaluation value of each area. The driving experience of the user is greatly improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of vehicle technology, in particular to an intelligent air conditioner control method and system in a vehicle. BACKGROUND

[0002] The current vehicle has become an indispensable necessity for users, and with the increasing frequency of people's travel, the general users have not only limited to the practicality of the vehicle, but also increasingly demand intelligent functions. The vehicle has gradually upgraded from a transportation tool to a mobile home. Especially in the intelligent application of the air conditioning system in the vehicle. The traditional means has the following deficiencies: the current vehicle air conditioning system mainly relies on manual setting and switching, the system has low intelligence, and the efficiency still has a large optimization space; secondly, the analysis and designation of the intelligent control strategy lack quantitative index support, and the means are relatively vague; finally, the existing air conditioning system is not flexible in use, cannot respond to the changes of the vehicle environment in time, and the means are relatively rough, which seriously affects the user experience.

[0003] In view of the above situation, the present application aims to provide an intelligent air conditioner control method and system in a vehicle to solve the above technical problems. SUMMARY

[0004] The purpose of the present application is to provide an intelligent air conditioner control method and system in a vehicle, which improves the vehicle environment by adopting a combination of strategies and algorithms, so that the vehicle environment reaches the best comfort zone, greatly improving the user's driving experience. The specific scheme is as follows:

[0005] An intelligent air conditioner control method in a vehicle, the method comprising the following steps:

[0006] S1: Real-time collection of basic environment data of each area in the vehicle; the basic environment data at least includes temperature data, humidity data and air index of each area;

[0007] S2: Pre-configure the mapping relationship between the environment data of each area in the vehicle and the comfort evaluation parameters with the optimal comfort evaluation as the target;

[0008] S3: Based on the basic environment data of each area and the collected local information, the environment data corresponding to the local information and the comfort evaluation parameter mapping relationship are retrieved, and the first evaluation weight coefficient of each area in the vehicle at the current time is obtained;

[0009] S4: Calculate the first evaluation value of the total area in the vehicle at the current time by the first environment comfort algorithm according to the first evaluation weight coefficient, the basic environment data and the environment state parameters of each area;

[0010] S5: based on the first evaluation value, if the judgment result meets the first preset condition, then enter step S6, if the judgment result does not meet the first preset condition, then trigger the air conditioner intelligent control function;

[0011] S6: if the judgment result meets the first preset condition, then trigger the second environment comfort algorithm, calculate the second evaluation value of each region in the vehicle at the current time through the second environment comfort algorithm;

[0012] S7: predict the comfort level in the vehicle according to the second evaluation value, and dynamically adjust the second evaluation value of each region with the optimal level as the target.

[0013] Optionally, the environmental state parameters of each region in step S4 are obtained by the following steps:

[0014] Determine whether each region in the vehicle has a passenger;

[0015] According to the judgment result of each region, dynamically configure the state parameter; wherein, each region at least includes: main driver position region, co-driver position region, left rear seat position region and right rear seat position region;

[0016] If the region has a passenger, the environmental state parameter is configured as the first value;

[0017] If the region has no passenger, the environmental state parameter is configured as the second value.

[0018] Optionally, in step S4, the first evaluation value of the total region in the vehicle at the current time is calculated by the first environment comfort algorithm according to the first evaluation weight coefficient, the basic environment data and the environmental state parameters of each region, which specifically includes:

[0019] The first evaluation value of the total region in the vehicle at the current time is calculated by the first calculation formula;

[0020] The formula is: Wherein, is the temperature data of different region positions of the vehicle collected by the sensor, represents the upper limit value of the expected temperature interval, represents the lower limit value of the expected temperature interval, is the first evaluation optionally,

[0021] Optionally, the step S5: based on the first evaluation value, if the judgment result meets the first preset condition, then enter step S6, if the judgment result does not meet the first preset condition, then trigger the air conditioner intelligent control function, which specifically includes:

[0022] When the absolute value of the first evaluation value falls into the first interval, the preset judgment result based on the first evaluation value meets the first preset condition;

[0023] When the absolute value of the first evaluation value falls into the second interval, an air conditioner intelligent control function is triggered; wherein, the air conditioner intelligent control function adjusts the basic temperature data of each region in the vehicle according to a first instruction issued by the vehicle-side application based on the basic environment data, until the absolute value of the first evaluation value falls into the first interval.

[0024] Optionally, the step S5 further comprises the following steps:

[0025] When the absolute value of the first evaluation value falls into the third interval, an air conditioner intelligent control function is triggered; wherein, the air conditioner intelligent control function controls the side door glass of the vehicle to descend to a preset position and keep for a first time according to a second instruction issued by the vehicle-side application based on the basic environment data;

[0026] When the first time arrives, the air conditioner intelligent control function outputs a feedback signal, at this time, the air conditioner intelligent control function closes the side door glass and adjusts the basic temperature data of each region in the vehicle according to a third instruction issued by the vehicle-side application based on the received feedback signal, until the absolute value of the first evaluation value falls into the first interval.

[0027] Optionally, the step S7 specifically comprises:

[0028] When the absolute value of each region's second evaluation value falls into the first preset interval, the comfort level in the vehicle is output as the first level;

[0029] When there is a second evaluation value with an absolute value falling into the second preset interval in the second evaluation values, the comfort level in the vehicle is output as the second level;

[0030] When there are N second evaluation values with absolute values falling into the second preset interval in the second evaluation values, the comfort level in the vehicle is output as the third level, and based on the third level of the comfort level in the vehicle, an air conditioner intelligent control function is triggered;

[0031] In response to the air conditioner intelligent control function, the vehicle-side application generates a third instruction based on the second evaluation value with an absolute value falling into the second preset interval and the corresponding region in the vehicle, and issues the third instruction to the air conditioner intelligent control function;

[0032] The air conditioner intelligent control function adjusts the basic temperature data of each region in the vehicle according to the third instruction, until the comfort level in the vehicle is output as the second level.

[0033] Optionally, the step S7 further comprises the following steps:

[0034] When there is only one second evaluation value with an absolute value falling into the third preset interval in the second evaluation values, the comfort level in the vehicle is output as the fourth level;

[0035] trigger the air conditioner intelligent regulation function to adjust the basic temperature data of each area in the vehicle within a preset time based on the fourth level of in-vehicle comfort level;

[0036] If there is still a second evaluation value with an absolute value falling into the third preset interval in the second evaluation value after the air conditioner intelligent regulation function is regulated, and the in-vehicle area corresponding to the second evaluation value is the same as the in-vehicle area corresponding to the second evaluation value with an absolute value falling into the third preset interval before regulation, an alarm is triggered.

[0037] An in-vehicle intelligent air conditioner control system, the system comprising the following steps:

[0038] A data acquisition module configured to acquire basic environmental data of each area in the vehicle in real time; the basic environmental data at least includes temperature data and humidity data of each area;

[0039] A weight preset module configured to pre-configure a mapping relationship between environmental data of each area and comfort evaluation parameters as a target of optimal comfort evaluation;

[0040] An acquisition module configured to acquire first evaluation weight coefficients of each area in the vehicle at the current time based on the basic environmental data of each area through the mapping relationship between environmental data and comfort evaluation parameters;

[0041] An evaluation calculation module configured to calculate first evaluation values of all areas in the vehicle at the current time by a first environmental comfort algorithm according to the first evaluation weight coefficients, the basic environmental data, and environmental state parameters of each area;

[0042] An intelligent regulation module configured to make a preset judgment based on the first evaluation values, if the judgment result meets the first preset condition, step S6 is entered, and if the judgment result does not meet the first preset condition, an air conditioner intelligent regulation function is triggered;

[0043] A comfort calculation module configured to trigger a second environmental comfort algorithm if the judgment result meets the first preset condition, and calculate second evaluation values of each area in the vehicle at the current time by the second environmental comfort algorithm;

[0044] A comfort regulation module configured to predict an in-vehicle comfort level according to the second evaluation values, and dynamically adjust the second evaluation values of each area as a target of optimal level.

[0045] An electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus; characterized in that the memory stores a computer program, when the computer program is executed by the processor, the processor executes the steps of the method.

[0046] A computer-readable storage medium storing a computer program executable by an electronic device, which when executed on the electronic device, causes the electronic device to perform the steps of the method.

[0047] An emulation platform comprising:

[0048] An electronic device for implementing the steps of the method;

[0049] A processor, the processor running a program, which when running, performs the steps of the method on data output from the electronic device;

[0050] A storage medium for storing a program, which when running, performs the steps of the method on data output from the electronic device.

[0051] By the above scheme, the following beneficial technical effects are obtained:

[0052] The application provides a vehicle interior intelligent air conditioner control method and system, which collects basic environment data of each area in the vehicle in real time, and calculates a first evaluation value of the total area in the vehicle at the current time based on a preset mapping relationship between the environment data and comfort evaluation parameters. If the first evaluation value does not meet the comfort condition, the air conditioner is triggered for intelligent control and data is collected and re-evaluated in a loop until the condition is met, and a second environment comfort algorithm is started to calculate a second evaluation value of each area. The environment of each area is optimized by dynamically adjusting the air conditioner parameters until the second evaluation value reaches the comfort level in the vehicle. Through the above design, the user can optimize and control each area in the vehicle accurately and differently by using the strategy combined with the algorithm during driving, so as to achieve optimal control of the comfort level in the vehicle. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 A flowchart of a vehicle interior intelligent air conditioner control method;

[0054] Figure 2 A structural block diagram of a vehicle interior intelligent air conditioner control system. DETAILED DESCRIPTION

[0055] In order to make the purposes, technical solutions and advantages of the application clearer, specific embodiments will be described below with reference to the accompanying drawings. Figures 1-2 The application will be described in further detail below. It should be apparent that the described embodiments are only a part of the embodiments of the application, but not all the embodiments. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the application.

[0056] The terminology used in the description of the application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in the description of the application and the appended claims, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be understood that the terms "and / or," "at least one of," and "one or more of" as used herein refer to and encompass any one of the items in the list, any combination of two or more of the items in the list, and / or all of the items in the list.

[0057] It should be understood that the term "and / or" as used herein is merely an associative relationship of the associated objects, and means that there can be three relationships, for example, A and / or B, which can mean that A exists alone, A and B exist together, and B exists alone. In addition, the character " / " herein generally means that the front and rear associated objects are in an "or" relationship.

[0058] It should be understood that although the terms first, second, third, etc. can be used in the description of the application, these descriptions are not limited to these terms. These terms are only used to distinguish the description. For example, without departing from the scope of the application, the first can also be called the second, and similarly, the second can also be called the first.

[0059] Depending on the context, the word "if" as used herein can be interpreted to mean "when" or "while" or "in response to determining" or "in response to detecting." Similarly, the phrase "if it is determined" or "if [a stated condition or event] is detected" can be interpreted to mean "when it is determined" or "in response to determining" or "when [a stated condition or event] is detected" or "in response to detecting [a stated condition or event]."

[0060] It should also be noted that the terms "comprising", "comprises", "including", "includes" or any other variation thereof are intended to cover a non-exclusive inclusion, such that a product or process that comprises a list of elements does not include only those elements but can also include other elements not expressly listed or inherent to such product or process. Without more limitations, an element defined by the phrase "comprising a" does not exclude the presence of additional identical elements in the product or process that includes the element.

[0061] It should be particularly noted that the symbols and / or numbers present in the specification, if not marked in the description of the drawings, are not drawing reference numbers.

[0062] The optional embodiments of the application will be described in detail below with reference to the accompanying drawings.

[0063] Figure 1 An in-vehicle intelligent air conditioning control method is shown, the method comprising the following steps:

[0064] S1: collecting basic environment data of each area in the vehicle in real time; the basic environment data at least includes temperature data, humidity data and air index of each area;

[0065] S2: pre-configuring mapping relationship between environment data of each area and comfort evaluation parameter with optimal comfort evaluation as target;

[0066] S3: obtaining first evaluation weight coefficient of each area in the vehicle at the current time based on the basic environment data of each area and through the mapping relationship between environment data and comfort evaluation parameter;

[0067] S4: calculating first evaluation value of the total area in the vehicle at the current time through the first environment comfort algorithm according to the first evaluation weight coefficient, the basic environment data and the environment state parameter of each area;

[0068] S5: performing preset judgment based on the first evaluation value, if the judgment result meets the first preset condition, then entering step S6, if the judgment result does not meet the first preset condition, then triggering the intelligent control function of the air conditioner;

[0069] S6: if the judgment result meets the first preset condition, then triggering the second environment comfort algorithm, and calculating second evaluation value of each area in the vehicle at the current time through the second environment comfort algorithm;

[0070] S7: predicting the comfort level in the vehicle according to the second evaluation value, and dynamically adjusting the second evaluation value of each area with the optimal level as target.

[0071] Specifically, the application collects basic environment data of each area in the vehicle in real time during driving; the basic environment data at least includes temperature data, humidity data and air index of each area; then pre-configures mapping relationship between environment data of each area in the vehicle and comfort evaluation parameter with optimal comfort evaluation as target; calculates first evaluation value of the total area in the vehicle at the current time through the first environment comfort algorithm; if the first evaluation value does not meet the comfort condition, triggers the intelligent control of the air conditioner and cyclically collects data for re-evaluation, until the second evaluation value reaches the comfort level in the vehicle after the second environment comfort algorithm is started to calculate the second evaluation value of each area and the environment of each area is optimized through dynamic adjustment of the air conditioner parameter. Through the above design, each area in the vehicle can be accurately and differentially optimized and controlled in the driving process of the user through the strategy combined with the algorithm, so as to realize optimal control of the comfort level in the vehicle.

[0072] In one specific embodiment, step S2: pre-configuring mapping relationship between environment data of each area in the vehicle and comfort evaluation parameter with optimal comfort evaluation as target, specifically includes:

[0073] calling vehicle-end environment question and answer survey data of the local area from the cloud;

[0074] obtain the local information of the current position of the vehicle; wherein the local information at least includes the geographical position of the area where the vehicle is located and climate data;

[0075] According to the vehicle-end environment question and answer survey data and the local information, the mapping relationship between the environmental data of each area in the vehicle and the comfort evaluation parameters is pre-set with the optimal comfort evaluation as the target.

[0076] Specifically, the mapping relationship between the environmental data of each area in the vehicle and the comfort evaluation parameters is pre-configured according to the vehicle-end environment question and answer survey data and the local information, so that in the driving process, the local information and the local user's environmental survey data can be fully combined, the user's most expected vehicle environment can be accurately positioned, and the vehicle environment most suitable for the user can also be provided.

[0077] In a specific embodiment, the environmental state parameters of each area in the step S4 are obtained by the following steps:

[0078] It is respectively judged whether each area in the vehicle has a passenger;

[0079] According to the judgment result of each area, the state parameters are dynamically configured; wherein each area at least includes a main driver position area, a co-driver position area, a left rear seat position area and a right rear seat position area;

[0080] If the area has a passenger, the environmental state parameter is configured as a first value;

[0081] If the area has no passenger, the environmental state parameter is configured as a second value.

[0082] It can be understood that in the embodiment, by distinguishing whether the area has a passenger, the state parameters are dynamically configured, so as to ensure that the comfort demand of the core area is preferentially referred; the second value is used to reduce the weight of the area without a passenger, so as to avoid invalid resource consumption (such as excessive adjustment for the empty area), which not only improves the accuracy and individualization of the vehicle environmental regulation, but also optimizes the energy consumption, so that the air conditioning system is more suitable for the actual use scene.

[0083] In step S4, a first evaluation weight coefficient, basic environmental data and environmental state parameters of each area are used to calculate a first evaluation value of the total area in the vehicle at the current time by a first environmental comfort algorithm, which specifically includes:

[0084] The first evaluation value of the total area in the vehicle at the current time is calculated by a first calculation formula;

[0085] The formula is as follows: wherein, is the temperature data of different area positions of the vehicle collected by the sensor, represents the upper limit value of the expected temperature interval, a lower limit value representing a desired temperature interval, is a first evaluation weight coefficient, is an environmental state parameter, is a first evaluation value for evaluating the overall environmental comfort in the vehicle.

[0086] Further, the step S5: based on the first evaluation value, if the judgment result meets the first preset condition, then enter step S6, if the judgment result does not meet the first preset condition, then trigger the air conditioner intelligent control function, specifically including:

[0087] When the absolute value of the first evaluation value falls into the first interval, the preset judgment result based on the first evaluation value meets the first preset condition;

[0088] When the absolute value of the first evaluation value falls into the second interval, the air conditioner intelligent control function is triggered; wherein, the air conditioner intelligent control function adjusts the basic temperature data of each area in the vehicle according to the first instruction issued by the vehicle-side application based on the basic environmental data, until the absolute value of the first evaluation value falls into the first interval.

[0089] Specifically, in order to save resources and realize efficient use of resources in this embodiment, through hierarchical response design, the overall environment of the vehicle space is preferentially adjusted, so that the vehicle environment reaches the expected effect, providing a basis guarantee for the fine adjustment of the subsequent air conditioner intelligent control function, that is, building a clear operation boundary for subsequent fine adjustment operation, without occupying a large amount of system operation resources in the early stage, causing excessive intervention in the vehicle environment.

[0090] For example, when 0≤S≤20, it indicates that the vehicle environment temperature is most suitable; when 20<S≤35, it indicates that the vehicle environment temperature deviates too much, the environment is not too suitable but can still be maintained, that is, the environment temperature deviates too much from the expectation; when 35<S, it indicates that the vehicle environment temperature deviates too much, the environment is poor, that is, the environment temperature deviates too much from the expectation; when the air conditioner intelligent control function is triggered, the first evaluation value is changed from 36 to 15 (falls into the first interval) after continuous adjustment and then stops; if the first evaluation value is 20 (falls into the first interval), then directly enter step S6, calculate the second evaluation value of each area through the second environmental comfort algorithm, and further optimize the local details.

[0091] Further, the step S5 further includes the following steps:

[0092] When the absolute value of the first evaluation value falls into the third interval, the air conditioner intelligent control function is triggered; wherein, the air conditioner intelligent control function controls the side door glass of the vehicle to descend to a preset position and remain for a first time according to the second instruction issued by the vehicle-side application based on the basic environmental data;

[0093] When the first time arrives, the air conditioner intelligent regulation function outputs a feedback signal. At this time, the air conditioner intelligent regulation function closes the side door glass and adjusts the basic temperature data of each area in the vehicle according to the third instruction issued by the vehicle terminal application based on the received feedback signal, and stops when the absolute value of the first evaluation value falls within the first interval.

[0094] It can be understood that when the absolute value of the first evaluation value falls within the third interval, the air conditioner intelligent regulation function controls the side door glass of the vehicle to drop 5 cm and keep for 2 min according to the second instruction issued by the vehicle terminal application, so as to avoid the safety risk or energy consumption caused by long-time window opening, and finally take the first interval as the target to ensure the consistency of the regulation effect.

[0095] Further, step S7: predicting the comfort level in the vehicle according to the second evaluation value, and dynamically adjusting the second evaluation value of each area with the optimal level as the target, specifically including:

[0096] When the absolute value of each second evaluation value falls within the first preset interval, the comfort level in the vehicle is output as the first level;

[0097] When there is a second evaluation value with an absolute value falling within the second preset interval in the second evaluation value, the comfort level in the vehicle is output as the second level;

[0098] When there are N second evaluation values with absolute values falling within the second preset interval in the second evaluation value, the comfort level in the vehicle is output as the third level, and the air conditioner intelligent regulation function is triggered based on the third level of the comfort level in the vehicle; wherein, 1

[0099] In response to the air conditioner intelligent regulation function, the vehicle terminal application generates a third instruction based on the second evaluation value with the absolute value falling within the second preset interval and the corresponding area in the vehicle, and issues the third instruction to the air conditioner intelligent regulation function;

[0100] The air conditioner intelligent regulation function adjusts the basic temperature data of each area in the vehicle according to the third instruction, and stops when the comfort level in the vehicle is output as the second level.

[0101] Specifically, in this embodiment, the comfort level in the vehicle is divided into three levels, i.e. the first level corresponds to the comfort of the whole area, the second level corresponds to the slight discomfort of individual area, and the third level corresponds to the discomfort of multiple areas. This design avoids the simple processing method of regulating as soon as discomfort occurs, so as to be more consistent with the difference of the local environment in the vehicle. When the third level is regulated, only the instruction is generated for the second evaluation value with the absolute value falling within the second preset interval and the corresponding area, so as to realize directional adjustment instead of uniform adjustment of the whole vehicle, which improves the efficiency while reducing the energy consumption. It can be understood that this design balances the user experience and cost, and takes into account the practicability and economy.

[0102] The step S7 further comprises the following steps:

[0103] When there is only one second evaluation value with an absolute value falling into the third preset interval in the second evaluation values, the in-vehicle comfort level is output as the fourth level;

[0104] Based on the in-vehicle comfort level of the fourth level, the air conditioner intelligent control function is triggered to adjust the basic temperature data of each region in the vehicle within a preset time;

[0105] If there is still one second evaluation value with an absolute value falling into the third preset interval in the second evaluation values after the air conditioner intelligent control function is regulated, and the in-vehicle region corresponding to the second evaluation value is the same as the in-vehicle region corresponding to the second evaluation value with an absolute value falling into the third preset interval before the regulation, an alarm is triggered.

[0106] Specifically, in the embodiment, when the fourth level regulation is triggered, the air conditioner intelligent control function is first regulated to try to adjust within a preset time, so as to avoid triggering an alarm directly due to temporary fluctuations (such as the region being suddenly directly irradiated by sunlight), thereby reducing the false alarm probability and taking into account the user experience. It can be understood that if there is still a second evaluation value of the same region falling into the third preset interval after the regulation, it indicates that there may be a hardware abnormality in the region, and at this time, the alarm can be directed to prompt the user to troubleshoot the problem of the specific region, thereby avoiding ambiguous early warning and quickly locating potential faults and improving problem solving efficiency.

[0107] The in-vehicle intelligent air conditioner control method provided by the present application will be further described below in combination with specific examples.

[0108] Taking a four-seater car in summer as an example, the environmental data of each part of the current vehicle is collected from the vehicle-mounted temperature sensor. The temperature data modeling result table is obtained. Among them, the left rear seat is not occupied by a person.

[0109] Table 1 is an environmental data modeling result table:

[0110]

[0111] 2: Combine the evaluation standard index matrix (i.e. the mapping relationship between environmental data and comfort evaluation parameters) in Table 2 with the real-time collected temperature data to obtain the corresponding weight α value;

[0112]

[0113] Among them, the content of the evaluation level in the evaluation standard index matrix table includes the level and the first evaluation weight coefficient.

[0114] The formula is The overall temperature evaluation value (i.e. the first evaluation value) is calculated according to the obtained weight;

[0115] The formula is The overall environment temperature in the vehicle is calculated; the greater the value, the greater the overall temperature deviates from the expected value; wherein As the pollutant weight parameter, it is tentatively divided into three levels:

[0116] Excellent: 1

[0117] Low or high: 4

[0118] Extremely low or extremely high: 16

[0119] The above example data is used for calculation (the left rear area is not occupied by anyone, so the parameter λ value is 0)

[0120] Driver position area Co-driver position area Left rear seat area Right rear seat area

[0121] At this time, the initial control is carried out through the intelligent control function of the air conditioner, so that the first evaluation value falls within the first interval.

[0122] When the first evaluation value falls within the first interval, the value of each area is calculated by the formula The temperature of each area in the vehicle is fine-tuned in precision to make the temperature of each area in the vehicle reach the most suitable temperature for the user,

[0123] This design not only narrows the temperature difference between different areas through precise fine-tuning of the temperature of each area in the vehicle, avoiding the influence of the temperature difference on the user's driving experience, but also sensitively and quickly identifies abnormal areas in the vehicle and accurately guides the user to investigate the abnormal areas.

[0124] On the other hand, the present application provides an intelligent air conditioner control system in the vehicle, which comprises the following steps:

[0125] The data acquisition module is configured to acquire the basic environment data of each area in the vehicle in real time; the basic environment data at least includes the temperature data and humidity data of each area;

[0126] The weight preset module is configured to pre-configure the mapping relationship between the environmental data of each area and the comfort evaluation parameter as the target of optimal comfort evaluation;

[0127] The acquisition module is configured to obtain the first evaluation weight coefficient of each area in the vehicle at the current time based on the basic environment data of each area through the mapping relationship between the environmental data and the comfort evaluation parameter;

[0128] The evaluation calculation module is configured to calculate the first evaluation value of the total area in the vehicle at the current time by the first environmental comfort algorithm according to the first evaluation weight coefficient, the basic environment data, and the environmental state parameter of each area;

[0129] The intelligent control module is configured to make a preset judgment based on the first evaluation value, and if the judgment result meets the first preset condition, the intelligent control function of the air conditioner is triggered in step S6, and if the judgment result does not meet the first preset condition, the intelligent control function of the air conditioner is triggered.

[0130] The comfort calculation module is configured to trigger a second environmental comfort algorithm if the judgment result meets the first preset condition, and calculate the second evaluation value of each region in the vehicle at the current time through the second environmental comfort algorithm.

[0131] The comfort control module is configured to predict the comfort level in the vehicle according to the second evaluation value, and dynamically adjust the second evaluation value of each region with the optimal level as the target.

[0132] It is worth noting that although the system only discloses the data acquisition module, the weight preset module, the acquisition module, the evaluation calculation module, the intelligent control module, the comfort calculation module and the comfort control module, it does not mean that the system is limited to the above basic functional modules. On the contrary, the meaning expressed by the present application is that on the basis of the above basic functional modules, those skilled in the art can add one or more functional modules to form an infinite number of embodiments or technical solutions in combination with the prior art. That is to say, the system is open rather than closed, and it cannot be considered that the protection scope of the present application is limited to the above disclosed basic functional modules just because the present embodiment discloses only individual basic functional modules.

[0133] On the other hand, the present application provides an electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;

[0134] The memory stores a computer program, and when the computer program is executed by the processor, the processor executes the steps of the method.

[0135] On the other hand, the present application provides a computer readable storage medium, which stores a computer program / instruction, and the computer program / instruction is executed by the processor to realize the steps of the method.

[0136] It should be noted that the user information (including but not limited to user equipment information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present application are all information and data authorized by the user or authorized by all parties.

[0137] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer readable storage medium, and when the computer program is executed, the processes of the above-mentioned embodiments of the methods can be included. Any reference to memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, high-density embedded non-volatile memory, resistive memory (ReRAM), magnetic variable memory, etc. The volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration but not limitation, the RAM can be in various forms. The database involved in the embodiments provided in the present application can include at least one of a relational database and a non-relational database. The non-relational database can include a distributed database based on a block chain, etc., and is not limited thereto. The processor involved in the embodiments provided in the present application can be a general-purpose processor, a central processing unit, a graphics processing unit, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., and is not limited thereto.

[0138] An emulation platform comprising:

[0139] An electronic device for implementing the steps of the method;

[0140] A processor, the processor running a program, the program when running performing the steps of the method on data output from the electronic device;

[0141] A storage medium for storing a program, the program when running performing the steps of the method on data output from the electronic device.

[0142] The technical features of the above embodiments can be combined in any way. To make the description concise, not all possible combinations of the technical features in the above embodiments are described, but as long as the combinations of the technical features do not contradict, they should be considered within the scope of the present disclosure.

[0143] The above embodiments only express several implementation manners of the present application, and the description is more specific and detailed, but it should not be understood as a limitation on the scope of the patent of the present application. It should be pointed out that for ordinary skilled in the art, without departing from the concept of the present application, a number of modifications and improvements can be made, which are within the scope of protection of the present application. Therefore, the protection scope of the present application should be subject to the appended claims.

Claims

1. A method for controlling an intelligent in-vehicle air conditioning system, characterized in that, The method includes the following steps: S1: Real-time collection of basic environmental data for each area inside the vehicle; the basic environmental data includes at least temperature data, humidity data, and air quality indicators for each area. S2: With the goal of achieving optimal comfort evaluation, pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each area inside the vehicle; S3: Based on the basic environmental data of each region and the collected local information, retrieve the mapping relationship between the environmental data corresponding to the local information and the comfort evaluation parameters, and obtain the first evaluation weight coefficient of each region in the vehicle at the current moment. S4: Calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area; S5: Make a preset judgment based on the first evaluation value. If the judgment result meets the first preset condition, proceed to step S6. If the judgment result does not meet the first preset condition, trigger the air conditioning intelligent control function. S6: If the judgment result meets the first preset condition, the second environmental comfort algorithm is triggered, and the second evaluation value of each area in the vehicle at the current moment is calculated through the second environmental comfort algorithm. S7: Predict the in-vehicle comfort level based on the second assessment value, and dynamically adjust the second assessment value of each area with the optimal level as the target.

2. The method according to claim 1, characterized in that, The environmental state parameters of each region in step S4 are obtained through the following steps: Determine whether there are occupants in each area of ​​the vehicle; Based on the judgment results of each area, the status parameters are dynamically configured; each area includes at least: the driver's seat area, the passenger seat area, the left rear seat area, and the right rear seat area. If there are occupants within the area, the environmental state parameter is configured to a first value; If there are no occupants within the area, the environmental state parameter is configured to the second value.

3. The method according to claim 2, characterized in that, Step S4: Based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each region, the first environmental comfort algorithm calculates the first evaluation value of the total area inside the vehicle at the current moment, specifically including: The first evaluation value of the total area inside the vehicle at the current moment is calculated using the first calculation formula. The following formula: ,in, It is based on temperature data collected by sensors at different locations within the vehicle. This represents the upper limit of the desired temperature range. This represents the lower limit of the desired temperature range. The first evaluation weight coefficient, These are environmental state parameters. This is the first evaluation value used to assess the overall comfort level of the in-vehicle environment.

4. The method according to claim 3, characterized in that, Step S5: Based on the first evaluation value, a preset judgment is made. If the judgment result meets the first preset condition, then proceed to step S6. If the judgment result does not meet the first preset condition, then the air conditioning intelligent control function is triggered, specifically including: When the absolute value of the first evaluation value falls into the first interval, the preset judgment result based on the first evaluation value satisfies the first preset condition. When the absolute value of the first evaluation value falls into the second interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function adjusts the basic temperature data of each area in the vehicle according to the first instruction issued by the vehicle application based on basic environmental data, until the absolute value of the first evaluation value falls into the first interval.

5. The method according to claim 4, characterized in that, Step S5 further includes the following steps: When the absolute value of the first evaluation value falls into the third interval, the air conditioning intelligent control function is triggered; wherein, the air conditioning intelligent control function controls the side door glass of the vehicle to descend to a preset position and maintain it for a first time according to the second instruction issued by the vehicle application based on basic environmental data; Upon arrival, the intelligent air conditioning control function outputs a feedback signal. At this time, based on the third instruction issued by the vehicle application based on the received feedback signal, the intelligent air conditioning control function closes the side door glass and adjusts the basic temperature data of each area inside the vehicle until the absolute value of the first evaluation value falls into the first interval.

6. The method according to claim 5, characterized in that, Step S7 specifically includes: When the absolute value of the second evaluation value in each region falls within the first preset range, the in-vehicle comfort level is output as Level 1. When there is a second evaluation value whose absolute value falls within the second preset range, the in-vehicle comfort level is output as Level 2. When there are N absolute values ​​in the second evaluation value that fall into the second preset range, the in-vehicle comfort level is output as level three, and the air conditioning intelligent control function is triggered based on the level three in-vehicle comfort level. In response to the intelligent air conditioning control function, the vehicle application generates a third instruction and sends it to the intelligent air conditioning control function based on the second evaluation value whose absolute value falls within the second preset range and its corresponding in-vehicle area. The intelligent air conditioning control function adjusts the basic temperature data of each area inside the vehicle according to the third instruction until the output of the vehicle comfort level is the second level.

7. The method according to claim 6, characterized in that, Step S7 further includes the following steps: If only one of the second evaluation values ​​falls within the third preset range, then the in-vehicle comfort level will be output as Level 4. Based on the fourth level of in-vehicle comfort, the intelligent air conditioning control function is triggered to adjust the basic temperature data of each area in the vehicle within a preset time. If, after the air conditioning intelligent control function has been completed, there is still a second evaluation value whose absolute value falls within the third preset range, and the in-vehicle area corresponding to the second evaluation value is the same as the in-vehicle area corresponding to the second evaluation value whose absolute value falls within the third preset range before the control, then an alarm will be triggered.

8. An in-vehicle intelligent air conditioning control system, characterized in that, The system includes the following steps: The data acquisition module is configured to collect basic environmental data of various areas inside the vehicle in real time; the basic environmental data includes at least temperature and humidity data of each area. The weight preset module is configured to pre-configure the mapping relationship between environmental data and comfort evaluation parameters for each area with the goal of achieving the optimal comfort evaluation. The acquisition module is configured to obtain the first evaluation weight coefficient of each area in the vehicle at the current moment by mapping the environmental data with the comfort evaluation parameters based on the basic environmental data of each area. The evaluation calculation module is configured to calculate the first evaluation value of the total area inside the vehicle at the current moment using the first environmental comfort algorithm based on the first evaluation weight coefficient, basic environmental data, and environmental state parameters of each area. The intelligent control module is configured to make a preset judgment based on a first evaluation value. If the judgment result meets the first preset condition, it proceeds to step S6. If the judgment result does not meet the first preset condition, it triggers the intelligent control function of the air conditioner. The comfort calculation module is configured to trigger the second environmental comfort algorithm if the judgment result meets the first preset condition, and calculate the second evaluation value of each area in the vehicle at the current moment through the second environmental comfort algorithm. The comfort control module is configured to predict the in-vehicle comfort level based on the second evaluation value, and dynamically adjust the second evaluation value of each area with the optimal level as the target.

9. An electronic device, comprising: The system comprises a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory communicate with each other via the communication bus; characterized in that the memory stores a computer program, which, when executed by the processor, causes the processor to perform the steps of the method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that, The device stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the method as described in any one of claims 1 to 7.

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