Automobile air conditioner comfort evaluation method and system

Abstract

The invention relates to an automobile air conditioner comfort evaluation method and system, and the method comprises the steps: calculating a total score initial value related to the comfort of an automobile air conditioner based on initial data obtained by a data obtaining device worn on a human body in a testing process; meanwhile, an evaluation person obtains a deduction value according to the self feeling and the adjustment frequency of adjusting the temperature of the air conditioner; subtracting the deducted score value from the total score initial value to obtain a total score determined value about the comfort of the vehicle air conditioner; meanwhile, a sensible temperature change cloud picture of each target part of the human body is output; the deduction value reflecting the personal subjective feeling is obtained through the adjustment times, the total score initial value calculated according to the body feeling temperature data is corrected, the total score determined value is obtained, the total score determined value can effectively reflect the comfort of the air conditioner, the difference between different evaluation individuals is considered, and the personal subjective feeling of evaluation personnel is reduced; in addition, the change trend of the sensible temperature of each part of the human body can be more visually observed through the sensible temperature change cloud picture, and a basis is provided for later optimization.

Description

Technical Field

[0001] The present application relates to the technical field of automobile air conditioning, and in particular to a method and system for evaluating the comfort of automobile air conditioning. Background Art

[0002] At present, after continuous iteration, car air conditioners have been able to achieve highly intelligent functions such as temperature control zoning, fine control of wind direction, and automatic adjustment of wind speed. People have also had higher expectations for the comfort of car air conditioners. In order to test the air conditioning comfort of newly developed models, during the model development process, professional evaluators are needed to evaluate the air conditioning comfort and obtain evaluation results, and put forward modification suggestions to provide ideas and methods for subsequent functional improvements.

[0003] In related technologies, the mainstream air conditioning comfort evaluation is mainly based on the evaluator's personal subjective feelings, and scores are given to the main performance indicators of the air conditioner, such as cooling and heating effects, and the suitability of air volume and direction. However, the evaluation results lack the actual support of objective data and are not convincing.

[0004] In other related technologies, dummies are used to obtain temperature and humidity data, and the evaluation results are output based on the calculation results of formulas. However, the differences between individuals are ignored. The use of such a completely objective evaluation method in the air-conditioning comfort module is questionable. Furthermore, the dummies are large in size and weight, and need to be installed and disassembled during the evaluation, which is not very convenient to operate. In addition, the production cost of air-conditioning dummies is high, and subsequent maintenance and upkeep is also a relatively troublesome problem.

[0005] Therefore, it is necessary to design a tool that can help air conditioning comfort evaluators to carry out their work effectively, and to develop corresponding evaluation methods to take into account the differences between different evaluators and reduce the influence of the evaluators' personal subjective feelings. Summary of the Invention

[0006] The embodiments of the present application provide a method and system for evaluating the comfort of automobile air conditioning to solve the problem in related technologies that it is difficult to effectively take into account the differences between different evaluation individuals and reduce the personal subjective feelings of the evaluators.

[0007] In a first aspect, a method for evaluating the comfort of an automobile air conditioner is provided, comprising:

[0008] Calculating perceived temperature data based on initial data acquired by a data acquisition device worn on the human body; and simultaneously recording the number of times the evaluator adjusts the air conditioning temperature based on their own feelings; the perceived temperature data includes the perceived temperature of various target parts of the human body located in the vehicle that changes over time;

[0009] Calculate the initial total score of vehicle air conditioning comfort based on the perceived temperature data; and calculate the deduction value based on the number of adjustments;

[0010] The deduction value is subtracted from the initial total score to obtain a determined total score for vehicle air conditioning comfort; and a cloud map of the perceived temperature change of each target part of the human body is outputted at the same time.

[0011] In some embodiments, calculating an initial total score of vehicle air conditioning comfort based on perceived temperature data includes the following steps:

[0012] Based on the perceived temperature data and the comfort level classification table, the evaluation data corresponding to each moment in the test process is obtained; the evaluation data includes the total comfort score corresponding to all target parts;

[0013] Output the evaluation curve of time and comfort according to the evaluation data corresponding to each moment during the test;

[0014] The evaluation curve is fitted into a function, and then its integral value is output; the integral value is divided by the design function, and then multiplied by one hundred to obtain the initial value of the total score.

[0015] In some embodiments, the steps for obtaining evaluation data at different times during the test process are the same;

[0016] Based on the perceived temperature data and the comfort level classification table, the evaluation data corresponding to a certain moment in the test process is obtained. The specific steps include:

[0017] Obtain the body temperature of each target part corresponding to a certain moment from the body temperature data;

[0018] The perceived temperature of each target area is calculated according to the comfort level classification table to obtain the comfort score of each target area;

[0019] Calculate the sum of the comfort scores of all target parts and use the sum as the evaluation data corresponding to a certain moment.

[0020] In some embodiments, obtaining the comfort level classification table specifically includes the following steps:

[0021] Obtain the theoretical optimal comfortable temperature for a healthy human body, using the latitude corresponding to the test location and the month corresponding to the test time;

[0022] Correcting the theoretical optimal comfort temperature according to the latitude and month to obtain the actual optimal comfort temperature; then calculating the deviation between the theoretical optimal comfort temperature and the actual optimal comfort temperature;

[0023] Divide the human body into multiple sensory comfort levels and set a corresponding initial temperature range for each level;

[0024] Correcting the maximum and minimum values ​​of each initial perceived temperature interval using the deviation value to obtain a plurality of final perceived temperature intervals;

[0025] A corresponding comfort score is assigned to each final perceived temperature interval, and then a comfort level classification table is produced based on multiple human sensory comfort levels, multiple final perceived temperature intervals, and multiple comfort scores.

[0026] In some embodiments, the following steps are included before testing:

[0027] Set the target test vehicle and the test mode of air conditioning operation according to the evaluation items.

[0028] In some embodiments, when the evaluation item is heating comfort, the target test vehicle is a vehicle that has been frozen outdoors at an ambient temperature of below zero and less than or equal to a first threshold, and the average temperature inside the vehicle drops to a design temperature difference from the ambient temperature; the test mode is to set the air-conditioning temperature to the maximum value, the air volume to the highest level, the air supply mode to the foot blowing mode, and the circulation mode to the internal circulation mode; then, after the vehicle idles for a second set time, the air-conditioning temperature is adjusted to 25°C, and the vehicle is driven at a first set speed for a first set time.

[0029] In some embodiments, when the evaluation item is cooling comfort, the target test vehicle is a vehicle that has been exposed to the sun outdoors for a third set time at an ambient temperature above zero and greater than or equal to a second threshold. The sunlight radiation intensity of the environment in which the vehicle is located is greater than the third threshold, the relative humidity is within a preset range, and the wind speed is less than or equal to a fourth threshold; the test mode is to set the air-conditioning temperature to the lowest value, the air volume to the highest level, the air supply mode to the face-blowing mode, and the circulation mode to the internal circulation mode; after the vehicle idles for the second set time, the air-conditioning temperature is adjusted to 25°C, and the vehicle is driven at a first set speed for the first set time.

[0030] In some embodiments, the data acquisition device includes a headgear, a top and knee pads; the headgear, top and knee pads are all provided with sensors for collecting temperature, humidity and wind speed.

[0031] In some embodiments, the headgear includes an outer shell with an inner lining provided inside the outer shell; an infrared camera is mounted on the outer shell through a bracket, and the infrared camera is used to monitor the temperature of the face, hands, and neck of a human body exposed to the air;

[0032] The lining, top and knee pads are all made of graphene material.

[0033] In a second aspect, a vehicle air conditioning comfort evaluation system is provided, which includes:

[0034] processing unit;

[0035] data acquisition device;

[0036] The first module is configured to calculate, during the test, perceived temperature data using the processing unit based on initial data acquired by a data acquisition device worn on the human body; and simultaneously record the number of times the evaluator adjusts the air conditioning temperature based on their own feelings; the perceived temperature data includes the perceived temperature of various target parts of the human body located in the vehicle that changes over time;

[0037] The second module is used to calculate the initial total score of the vehicle air conditioning comfort based on the perceived temperature data after the test using the processing unit; and to obtain the deduction value based on the number of adjustments;

[0038] The third module is used to use the processing unit to subtract the deduction value from the initial total score to obtain a determined total score for vehicle air conditioning comfort in this test; and at the same time output a cloud map of the perceived temperature changes of various target parts of the human body.

[0039] The beneficial effects of the technical solution provided by this application include:

[0040] The present application provides a method and system for evaluating vehicle air conditioning comfort. During a test, perceived temperature data is calculated based on initial data acquired by a data acquisition device worn on the human body. An initial total score for vehicle air conditioning comfort is calculated based on the perceived temperature data. The perceived temperature data includes the perceived temperature of various target parts of the human body that change over time. The number of times the evaluator adjusts the air conditioning temperature based on their own feelings is recorded. A deduction value is then determined based on the number of adjustments. The deduction value is subtracted from the initial total score to obtain a determined total score for vehicle air conditioning comfort for the test. A cloud map of perceived temperature changes for various target parts of the human body is also output. In the above steps, the deduction value reflecting the individual's subjective feelings is derived using the number of adjustments. The initial total score calculated based on the perceived temperature data is then corrected to obtain a determined total score. The determined total score accurately and effectively reflects the comfort of the air conditioning, takes into account the differences between different evaluators, and reduces the subjective feelings of the evaluators. In addition, the cloud map of perceived temperature changes allows developers to more intuitively observe the changing trends of perceived temperature at various parts of the human body, providing ideas and basis for improving and optimizing the air conditioning system in future research and development. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0042] Figure 1 A schematic structural diagram showing the entire headgear and its components provided in an embodiment of the present application;

[0043] Figure 2 A schematic diagram showing the distribution of sensor setting points on the front of the data acquisition device provided in an embodiment of the present application;

[0044] Figure 3 A schematic diagram showing the distribution of sensor setting points on the back of the data acquisition device provided in an embodiment of the present application;

[0045] Figure 4 A schematic diagram of an evaluation curve for time and comfort provided in an embodiment of the present application;

[0046] Figure 5 A schematic diagram of the general flow of the automobile air conditioning comfort evaluation method provided in the embodiment of the present application.

[0047] In the figure: 100, outer shell; 200, inner lining; 300, infrared camera; 400, bracket; 1, top of head; 2, right temple; 3, left temple; 4, forehead; 5, right shoulder; 6, left shoulder; 7, right chest; 8, left chest; 9, right elbow; 10, left elbow; 11, right abdomen; 12, left abdomen; 13, navel; 14, right wrist; 15, left wrist; 16, upper end of right knee; 17, upper end of left knee; 18, right knee; 19, left knee; 20, Right side of right knee; 21. Left side of left knee; 22. Lower end of right knee; 23. Lower end of left knee; 24. Left side of right knee; 25. Right side of right knee; 26. Back of head; 27. Left shoulder; 28. Right shoulder; 29. ​​Middle of left back; 30. Middle of right back; 31. Lower part of left back; 32. Lower part of right back; 33. Upper end of back of left knee; 34. Upper end of back of right knee; 35. Left knee pit; 36. Right knee pit; 37. Lower end of back of left knee; 38. Lower end of back of right knee. DETAILED DESCRIPTION

[0048] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0049] Definitions of Key Terms

[0050] Automobile air conditioning comfort evaluation: Automobile air conditioning comfort is a very important part of the overall vehicle driving comfort. The air conditioning temperature, wind speed, wind direction and other performance indicators will have a significant impact on the driving experience of the passengers. In order to test the air conditioning comfort of newly developed models and confirm their differences with competing products, evaluators need to stand from the user's perspective, based on their personal subjective feelings and opinions, and refer to objective data to conduct a comprehensive evaluation of the vehicle air conditioning comfort.

[0051] The maximum and minimum values ​​of the air-conditioning temperature in the following text are relative to the performance of each actual air-conditioning; the highest level of the air-conditioning air volume is relative to each actual adjustable level.

[0052] The root cause of the problem

[0053] The subjective evaluation method of automobile air conditioning comfort is roughly as follows:

[0054] By converting the evaluators' subjective feelings into quantitative indicators of vehicle air conditioning performance, this approach addresses the lack of objectivity, large errors, and inability to quantify indicators in mainstream air conditioning performance evaluations. The specific steps are as follows:

[0055] (1) Convert the evaluator's subjective feelings into quantitative indicators of target performance and establish a substitution relationship diagram between evaluator's perception and target performance;

[0056] (2) Determine the evaluator's perception range, design target indicators, actual measurement result indicators, and judge the measurement results;

[0057] (3) Determine the evaluator's perception scoring criteria;

[0058] (4) Determine the target performance quantitative indicator area;

[0059] (5) Determine the target performance substitution relationship area, convert the evaluator's subjective feelings into quantitative indicators of target performance, and complete the evaluation of automobile air-conditioning performance.

[0060] This technical solution has the following disadvantages:

[0061] (1) This evaluation method does not take into account the perceived temperature of the evaluator. The perceived temperature is an important indicator of human comfort and should be used as a reference when evaluating air conditioners to focus on the user's actual experience.

[0062] (2) This evaluation method has two types of relationships when determining the target performance substitution relationship area: general correlation and strong correlation. However, the difference between these two relationships is not reflected in the actual scoring evaluation.

[0063] The method of using dummy test to evaluate the comfort of automobile air conditioning is roughly as follows:

[0064] Sensor elements are installed on the dummy's surface to collect information such as temperature, humidity, and wind speed. The data is then processed by a data processing unit and a data storage unit, and finally transmitted to an evaluation unit to complete the evaluation of the vehicle air conditioning thermal comfort. The specific evaluation steps are as follows:

[0065] (1) Set up the test environment for the test vehicle, such as the temperature and humidity range of the environmental chamber, cooling fan parameters, etc.;

[0066] (2) Set up the test process for the test vehicle, including the inspection of relevant functions, the arrangement of measuring point sensors, and the installation of the air-conditioning dummy;

[0067] (3) Setting the test conditions for the test vehicle;

[0068] (4) The data acquisition unit records the data collected by sensors inside the vehicle and on the surface of the air-conditioning dummy;

[0069] (5) The data processing unit and the data storage unit process and calculate the collected data;

[0070] (6) The evaluation unit outputs the evaluation results based on the input evaluation criteria and score calculation formula.

[0071] This technical solution has the following disadvantages:

[0072] (1) This evaluation method completely abandons the subjective feelings of the evaluators and outputs the evaluation results through the collected data and formula calculation results, ignoring the differences between individuals. The use of this completely objective evaluation method in the air conditioning comfort module is questionable;

[0073] (2) In this evaluation method, the air-conditioning dummy is large in size and weight, and needs to be installed and disassembled during the evaluation, which is not very convenient to operate. In addition, the production cost of the air-conditioning dummy is high, and subsequent maintenance and care are also a relatively troublesome problem.

[0074] The embodiments of the present application provide a method and system for evaluating the comfort of automobile air conditioning to solve the problem in related technologies that it is difficult to effectively take into account the differences between different evaluation individuals and reduce the personal subjective feelings of the evaluators.

[0075] See also Figure 5 , a method for evaluating the comfort of automobile air conditioning, comprising:

[0076] Step 100: During the test, the perceived temperature data is calculated based on the initial data acquired by the data acquisition device worn on the human body; and the number of times the evaluator adjusts the air conditioning temperature based on their own feelings is recorded. The perceived temperature data includes the perceived temperature of each target part of the human body located in the vehicle that changes over time.

[0077] Step 200: After the test, calculate an initial total score for vehicle air conditioning comfort based on the perceived temperature data; and calculate a deduction value based on the number of adjustments.

[0078] Step 300: Subtract the deduction value from the total score to determine the total score for vehicle air conditioning comfort in this test. Simultaneously, a cloud map of perceived temperature changes at each target site on the human body is output. The cloud map of perceived temperature changes is a cloud map of time and perceived temperature.

[0079] In the above steps, the number of adjustments is used to obtain a deduction value that reflects personal subjective feelings. Then, the initial total score calculated based on the perceived temperature data is corrected to obtain a determined total score. The determined total score can accurately and effectively reflect the comfort of the air conditioner, while taking into account the differences between different evaluation individuals and reducing the evaluator's personal subjective feelings. In addition, the perceived temperature change cloud map allows developers to more intuitively observe the changing trends of the perceived temperature of various parts of the human body, providing ideas and basis for the improvement and optimization of the air-conditioning system in future research and development.

[0080] It should be understood that the present application aims to address the defects of the subjective method of evaluating automobile air-conditioning comfort and the method of using dummy tests to evaluate automobile air-conditioning comfort. That is, it can take into account the factor that a simple dummy test ignores the differences between individuals, and the factor that a simple subjective evaluation lacks the actual support of objective data and is unconvincing. In addition, the use of a data acquisition device worn on the human body can avoid the problems of the large size and weight of the air-conditioning dummy, the need for installation and disassembly during evaluation, which is not very convenient to operate, and the high cost of making the air-conditioning dummy, and the troublesome subsequent maintenance and upkeep.

[0081] In some preferred embodiments, in step 200, calculating an initial total score of vehicle air conditioning comfort based on the perceived temperature data includes the following steps:

[0082] Step 2001: Based on the perceived temperature data and the comfort level classification table, obtain evaluation data corresponding to each moment during the test; the evaluation data includes the total comfort score corresponding to all target parts;

[0083] Step 2002: Output the evaluation curve of time and comfort according to the evaluation data corresponding to each moment during the test time and test process; Figure 4 .

[0084] Step 2003: Fit the evaluation curve into a function, and then output its integral value; divide the integral value by the design function y=100, and then multiply by 100 to obtain the initial value of the total score.

[0085] Wherein, step 2001 specifically includes:

[0086] The steps for obtaining evaluation data at different moments during the test are the same;

[0087] Based on the perceived temperature data and the comfort level classification table, the evaluation data corresponding to a certain moment in the test process is obtained. The specific steps include:

[0088] Obtain the body temperature of each target part corresponding to a certain moment from the body temperature data;

[0089] The perceived temperature of each target area is calculated according to the comfort level classification table to obtain the comfort score of each target area;

[0090] Calculate the sum of the comfort scores of all target parts and use the sum as the evaluation data corresponding to a certain moment.

[0091] In step 2001, the sum is calculated as follows:

[0092]

[0093] Among them, S is the sum of the comfort scores of all target parts; Q j The comfort score of the perceived temperature of a target part is calculated based on the comfort level classification table; 40 includes 38 sensor placement points, and two points at the philtrum of the face and the center of the neck where perceived temperature is monitored by infrared cameras.

[0094] Furthermore, obtaining a comfort level classification table specifically includes the following steps:

[0095] Obtain the theoretical optimal comfortable temperature for a healthy human body, using the latitude corresponding to the test location and the month corresponding to the test time;

[0096] Correct the theoretical optimal comfort temperature according to the latitude and month to obtain the actual optimal comfort temperature; then calculate the deviation between the theoretical optimal comfort temperature and the actual optimal comfort temperature;

[0097] Divide the human body into multiple sensory comfort levels and set a corresponding initial temperature range for each level;

[0098] Correcting the maximum and minimum values ​​of each initial perceived temperature interval using the deviation value to obtain multiple final perceived temperature intervals;

[0099] A corresponding comfort score is assigned to each final perceived temperature interval, and then a comfort level classification table is produced based on multiple human sensory comfort levels, multiple final perceived temperature intervals, and multiple comfort scores.

[0100] Please refer to the following instructions for details

[0101] 1. Calculate the "optimal comfortable temperature" T for a healthy human body based on the golden ratio s ≈22.7℃,

[0102] 2. T according to time (season) and space (geographic latitude) s Make corrections:

[0103]

[0104] in, is the latitude and M is the month.

[0105] 3. The data acquisition device collects three physical quantities: temperature, humidity, and wind speed. That is, the initial data is combined with the wet-bulb temperature and the perceived temperature calculation method to obtain the perceived temperature of each target area of ​​the evaluator. The perceived temperature can be calculated during or after the test. There are many methods in the related art for calculating the perceived temperature based on the three physical quantities of temperature, humidity, and wind speed. This application only provides a general method and does not explain the specific calculation method in detail. Other methods can also be used to calculate the perceived temperature.

[0106] 4. Classify the comfort level according to the perceived temperature. The classification standards are shown in Table 1, where D T =22.7-T S , which represents the deviation between the actual optimal comfort temperature and the theoretical optimal comfort temperature in a certain place, and thus dynamically adjusts the comfort level classification; T g The perceived temperature.

[0107]

[0108] Table 1

[0109] In some preferred embodiments, the deduction value is obtained based on the number of adjustments, and the following description can be referred to:

[0110] Appropriate points will be deducted based on the number of adjustments. The deduction rules are shown in Table 2.

[0111] Adjustment times Deduction value 0～1 0 2 2 3 4 ≥4 8

[0112] Table 2

[0113] In some preferred embodiments, the following steps are included before testing:

[0114] Set the target test vehicle and the test mode of air conditioning operation according to the evaluation items.

[0115] When the evaluation item is heating comfort, the target test vehicle is a vehicle that has been frozen outdoors at an ambient temperature of below zero and less than or equal to a first threshold, and the average temperature inside the vehicle drops to a design temperature difference from the ambient temperature; the test mode is to set the air-conditioning temperature to the maximum value, the air volume to the highest level, the air supply mode to the foot blowing mode, and the circulation mode to the internal circulation mode; then after the vehicle has been idling for the second set time, the air-conditioning temperature is adjusted to 25°C, and the vehicle is driven at the first set speed for the first set time.

[0116] When the evaluation item is cooling comfort, the target test vehicle is a vehicle that has been exposed to the sun outdoors for a third set time at an ambient temperature above zero and greater than or equal to a second threshold. The sunlight radiation intensity of the vehicle's environment is greater than the third threshold, the relative humidity is within a preset range, and the wind speed is less than or equal to a fourth threshold. The test mode is to set the air-conditioning temperature to the lowest value, the air volume to the highest level, the air supply mode to the face-blowing mode, and the circulation mode to the internal circulation mode. After the vehicle has been idling for the second set time, the air-conditioning temperature is adjusted to 25°C, and the vehicle is driven at a first set speed for the first set time.

[0117] In this embodiment, the following description is provided:

[0118] (1) Determine the evaluation environment

[0119] The present invention can evaluate the comfort of air conditioning in both cooling and heating modes. The specific evaluation environment is as follows:

[0120] Evaluate project environmental requirements

[0121] Heating comfort, temperature ≤ -20℃

[0122] Cooling comfort, ambient temperature ≥35℃, sunlight radiation intensity ≥800W / , relative humidity 40%-75%, wind speed ≤5m / s

[0123] (2) Vehicle status inspection

[0124] Ensure the air conditioning system is functioning properly: Check the airtightness of each air conditioning system component, the air ducts within the vehicle, and any blockages or restrictions in the airflow to ensure it meets the design specifications. It is recommended to use a prototype vehicle that has been tested for airtightness for comfort evaluation of the air conditioning system.

[0125] Check the sealing of the windows, interior, front panel, etc. If there are air leaks, the body system needs to be adjusted.

[0126] Make sure that the engine coolant, engine oil, lubricant, tire pressure and battery meet the requirements.

[0127] Make sure there is sufficient fuel and electricity.

[0128] Record the test vehicle number, and record the status and version of the main components of the air conditioning system.

[0129] (3) Determine the specific evaluation process

[0130] Heating comfort evaluation process: The evaluation is carried out in weather without rain or snow, and the ambient temperature meets the requirements. The vehicle is frozen outdoors for more than 3 hours, so that the average temperature inside the vehicle drops to within 2°C of the ambient temperature. The evaluator wears the patented sensor clothing of this invention and sits in the passenger seat. The air conditioner is set to the highest temperature, the air volume is set to the highest level, the air supply mode is the foot blowing mode, and the circulation mode is the internal circulation. After the vehicle has been idling for 10 minutes, the air conditioner temperature is adjusted to 25°C, and the rest remain unchanged. The vehicle is driven on the designated route at a speed of 40km / h for 50 minutes. During the driving process, the evaluator can adjust the air conditioner setting temperature according to his or her own feelings (the number of adjustments needs to be recorded). After the driving process, the evaluator gets off the vehicle, and the evaluation system processes the data collected by the sensor and outputs the evaluation results.

[0131] Cooling comfort evaluation process: The evaluation environment should meet the conditions set in step 1, and the vehicle should be exposed to the sun outdoors for more than 3 hours. The evaluator wears the patented sensor clothing of this invention and sits in the passenger seat. The air conditioner is set to the lowest temperature, the highest air volume, the face blowing mode, and the internal circulation mode. After the vehicle has been idling for 10 minutes, the air conditioner temperature is adjusted to 25°C, and the rest remain unchanged. The vehicle is driven on the designated route at a speed of 40km / h for 50 minutes. During the driving process, the evaluator can adjust the air conditioner setting temperature according to his or her own feelings (the number of adjustments needs to be recorded, and appropriate points will be deducted based on the number of adjustments. The deduction details are shown in Table 2). After the driving process, the evaluator gets off the vehicle, and the evaluation system processes the data collected by the sensor and outputs the evaluation results.

[0132] In some preferred embodiments, the data acquisition device includes a headgear, a top, and kneepads; each of the headgear, top, and kneepads is equipped with sensors for collecting temperature, humidity, and wind speed. The headgear includes a shell 100, which is provided with an inner lining 200; an infrared camera 300 is mounted on the outside of the shell 100 via a bracket 400, and the infrared camera 300 is used to monitor the temperature of the face, hands, and neck of a person exposed to the air;

[0133] Liner 200, top and knee pads are all made of graphene material

[0134] The data acquisition device is a wearable multi-parameter recording sensor clothing, which includes a headgear, a top, knee pads and multiple smart sensors with three modules: temperature, humidity and wind speed. Figure 1As shown, the garment consists of four components: an outer shell 100, an inner lining 200, an infrared camera 300, and a bracket 400. The outer shell secures the bracket, which is mounted on top of the outer shell and connected to a high-precision infrared camera (which monitors the temperature of exposed human tissue, such as the face, hands, and neck). The inner lining, sewn into the inner shell, serves as a carrier for the sensor. The garment has no special structure and is sized based on the height distribution of Asian adults. The kneepad features four compression straps and high-viscosity Velcro, allowing for flexible adjustment of tightness to accommodate a wide range of body shapes.

[0135] The headgear lining, top, and knee pads of this example are all made of graphene material. Graphene material can be used to make fabrics that are both waterproof and breathable, which does not affect the comfort of air conditioning evaluators after wearing this clothing, making the evaluation results more accurate; graphene can be integrated with sensors and electronic components for monitoring physiological parameters, recording data, etc., and has excellent strength and durability, perfectly meeting the requirements of the present invention.

[0136] The smart sensor in this example has three modules: temperature, humidity, and wind speed. It can directly obtain the body temperature of various parts of the human body by collecting the above three components and using artificial intelligence and big data algorithms. The specific installation locations are as follows: Figure 2 and Figure 3 As shown, the top of the head 1, right temple 2, left temple 3, forehead 4, right shoulder 5, left shoulder 6, right chest 7, left chest 8, right elbow 9, left elbow 10, right abdomen 11, left abdomen 12, navel 13, right wrist 14, left wrist 15, upper end of right knee 16, upper end of left knee 17, right knee 18, left knee 19, right side of right knee 20, left side of left knee 21, lower end of right knee 22, lower end of left knee 23, left side of right knee 24, right side of right knee 25, back of the head 26, left shoulder 27, right shoulder 28, middle part of left back 29, middle part of right back 30, lower part of left back 31, lower part of right back 32, upper end of the back of left knee 33, upper end of the back of right knee 34, left knee fossa 35, right knee fossa 36, ​​lower end of the back of left knee 37, lower end of the back of right knee 38. The installation positions are distributed across temperature-sensitive and sweat-prone parts of the human body, which can satisfy the in-vehicle evaluators' need to know the status of various parts of the body.

[0137] During specific use, the evaluator wears the headgear, the top on the upper body, and the knee pads adjusted to the appropriate tightness through the straps and worn on the knees. The sensors and high-precision infrared cameras on the clothes are activated on the smart device to monitor the temperature, humidity, and wind speed of various parts of the evaluator's body, and the data is recorded in real time. By calculating the perceived temperature of various parts of the human body, all data are displayed on the human body model of the smart device app, helping the evaluator to obtain intuitive data display at each time point; providing a strong and objective basis for the evaluator to evaluate the comfort of air conditioning.

[0138] This application also proposes an automobile air conditioning comfort evaluation system, which includes:

[0139] processing unit;

[0140] data acquisition device;

[0141] The first module is used to calculate the perceived temperature data based on the initial data acquired by the data acquisition device worn on the human body during the test using the processing unit; and simultaneously record the number of times the evaluator adjusts the air conditioning temperature based on their own feelings; the perceived temperature data includes the perceived temperature of various target parts of the human body located in the vehicle that changes over time;

[0142] The second module is used to calculate the initial total score of the vehicle air conditioning comfort based on the perceived temperature data after the test using the processing unit; and to obtain the deduction value based on the number of adjustments;

[0143] The third module is used to use the processing unit to subtract the deduction value from the initial total score to obtain a determined total score for vehicle air conditioning comfort in this test; and at the same time output a cloud map of the perceived temperature changes of various target parts of the human body.

[0144] The functions and methods of various modules of an automobile air-conditioning comfort evaluation system are the same and will not be explained in detail.

[0145] This application has the following beneficial effects:

[0146] (1) Multi-sensor integration and layout: The clothing integrates three modules of temperature, humidity, and wind speed sensors, covering 40 key parts of the human body (including face, neck, joints, torso, etc.), covering the main heat exchange areas of the human body, breaking through the limitations of traditional fixed sensors and realizing dynamic and multi-dimensional data collection.

[0147] Innovative combination of headgear and infrared camera: The infrared camera monitors the temperature of exposed parts (face and neck), complementing the clothing sensor, solving the problem of insufficient monitoring of exposed skin by traditional wearable devices.

[0148] Application of graphene materials: Graphene is used as the base material for clothing, which combines waterproof and breathable properties, electronic component compatibility and durability, significantly improving wearing comfort and sensor stability.

[0149] The deep integration of wearable sensing technology (multi-parameter sensor), infrared thermal imaging technology (camera) and automobile air-conditioning evaluation methods solves the problems of strong subjectivity and single data dimension in traditional evaluation.

[0150] (2) Introducing latitude The "optimal comfortable temperature" (22.7℃) is corrected according to the month (M). The dynamic adaptability of the environment is added to the algorithm of the comfortable temperature correction based on geographical latitude and seasonal changes to achieve personalized environmental adaptability evaluation.

[0151] A multi-dimensional data fusion scoring mechanism converts multi-source data into a 100-point quantitative score by integrating the temporal comfort curve and categorizing comfort levels using deduction rules, enhancing the objectivity of the evaluation. Using the golden ratio (≈22.7°C) as a theoretical benchmark and combining it with human physiological feedback (such as sweating site monitoring), a scientific evaluation framework is formed.

[0152] In the description of this application, it should be noted that the terms "upper" and "lower" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application. Unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or an indirect connection through an intermediate medium, or it can be internal communication between two elements. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to the specific circumstances.

[0153] It should be noted that, in this application, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element.

[0154] The foregoing is merely a list of specific embodiments of the present application, intended to enable those skilled in the art to understand or implement the present application. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the broadest scope consistent with the principles and novel features of the present application.

Claims

1. A method for evaluating the comfort of automobile air conditioning, characterized in that: It includes: Calculating body temperature data based on initial data acquired by a data acquisition device worn on the human body; At the same time, the number of times the evaluator adjusts the air conditioning temperature according to his or her own feelings is recorded; the perceived temperature data includes the perceived temperature of each target part of the human body located in the car changing over time; Calculate the initial total score of vehicle air conditioning comfort based on the perceived temperature data; The deduction value is calculated based on the number of adjustments; The deduction value is subtracted from the initial total score to obtain a determined total score for vehicle air conditioning comfort; and a cloud map of the perceived temperature change of each target part of the human body is outputted at the same time.

2. The automobile air conditioning comfort evaluation method according to claim 1, wherein: Calculating an initial total score for vehicle air conditioning comfort based on perceived temperature data includes the following steps: Based on the perceived temperature data and the comfort level classification table, the evaluation data corresponding to each moment in the test process is obtained; the evaluation data includes the total comfort score corresponding to all target parts; Output the evaluation curve of time and comfort according to the evaluation data corresponding to each moment during the test; The evaluation curve is fitted into a function, and then its integral value is output; the integral value is divided by the design function, and then multiplied by one hundred to obtain the initial value of the total score.

3. The automobile air conditioning comfort evaluation method according to claim 2, wherein: The steps for obtaining evaluation data at different moments during the test are the same; Based on the perceived temperature data and the comfort level classification table, the evaluation data corresponding to a certain moment in the test process is obtained. The specific steps include: Obtain the body temperature of each target part corresponding to a certain moment from the body temperature data; The perceived temperature of each target area is calculated according to the comfort level classification table to obtain the comfort score of each target area; Calculate the sum of the comfort scores of all target parts and use the sum as the evaluation data corresponding to a certain moment.

4. The automobile air conditioning comfort evaluation method according to claim 2, wherein: Obtaining a comfort level classification table includes the following steps: Obtain the theoretical optimal comfortable temperature for a healthy human body, using the latitude corresponding to the test location and the month corresponding to the test time; Correcting the theoretical optimal comfort temperature according to the latitude and month to obtain the actual optimal comfort temperature; then calculating the deviation between the theoretical optimal comfort temperature and the actual optimal comfort temperature; Divide the human body into multiple sensory comfort levels and set a corresponding initial temperature range for each level; Correcting the maximum and minimum values ​​of each initial perceived temperature interval using the deviation value to obtain a plurality of final perceived temperature intervals; A corresponding comfort score is assigned to each final perceived temperature interval, and then a comfort level classification table is produced based on multiple human sensory comfort levels, multiple final perceived temperature intervals, and multiple comfort scores.

5. The automobile air conditioning comfort evaluation method according to claim 1, wherein: Include the following steps before testing: Set the target test vehicle and the test mode of air conditioning operation according to the evaluation items.

6. The automobile air conditioning comfort evaluation method according to claim 5, wherein: When the evaluation item is heating comfort, the target test vehicle is a vehicle that has been refrigerated outdoors at an ambient temperature of sub-zero and less than or equal to a first threshold, and the average temperature inside the vehicle drops to a design temperature difference from the ambient temperature; the test mode is to set the air conditioner temperature to the maximum value, the air volume to the highest level, the air supply mode to the foot blowing mode, and the circulation mode to the internal circulation mode; Then, after the vehicle idles for a second set time, the air-conditioning temperature is adjusted to 25° C., and the vehicle is driven at a first set speed for a first set time.

7. The automobile air conditioning comfort evaluation method according to claim 5, wherein: When the evaluation item is cooling comfort, the target test vehicle is a vehicle that has been exposed to the sun outdoors for a third set time at an ambient temperature above zero and greater than or equal to a second threshold. The sunlight radiation intensity of the environment in which the vehicle is located is greater than the third threshold, the relative humidity is within a preset range, and the wind speed is less than or equal to a fourth threshold. The test mode is to set the air-conditioning temperature to the lowest value, the air volume to the highest level, the air supply mode to the face-blowing mode, and the circulation mode to the internal circulation mode. After the vehicle has been idling for the second set time, the air-conditioning temperature is adjusted to 25°C, and the vehicle is driven at a first set speed for the first set time.

8. The automobile air conditioning comfort evaluation method according to claim 1, wherein: The data acquisition device comprises a head cover, a coat and a knee pad; the head cover, the coat and the knee pad are all provided with sensors for collecting temperature, humidity and wind speed.

9. The automobile air conditioning comfort evaluation method according to claim 8, wherein: The headgear comprises a shell (100), wherein an inner lining (200) is provided in the shell (100); an infrared camera (300) is mounted on the outside of the shell (100) via a bracket (400), and the infrared camera (300) is used to monitor the temperature of the face, hands, and neck of a human body exposed to the air; The lining (200), the top and the kneepad are all made of graphene material.

10. An automobile air conditioning comfort evaluation system, characterized in that: It includes: processing unit; data acquisition device; The first module is configured to calculate, during the test, perceived temperature data using the processing unit based on initial data acquired by a data acquisition device worn on the human body; and simultaneously record the number of times the evaluator adjusts the air conditioning temperature based on their own feelings; the perceived temperature data includes the perceived temperature of various target parts of the human body located in the vehicle that changes over time; The second module is used to calculate the initial total score of the vehicle air conditioning comfort based on the perceived temperature data after the test using the processing unit; and to obtain the deduction value based on the number of adjustments; The third module is used to use the processing unit to subtract the deduction value from the initial total score to obtain a determined total score for vehicle air conditioning comfort in this test; and at the same time output a cloud map of the perceived temperature changes of various target parts of the human body.

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