CN115056626A - Passenger thermal comfort based shared automobile rear row microclimate optimization and adjustment method - Google Patents

Passenger thermal comfort based shared automobile rear row microclimate optimization and adjustment method Download PDF

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Publication number
CN115056626A
CN115056626A CN202210718478.2A CN202210718478A CN115056626A CN 115056626 A CN115056626 A CN 115056626A CN 202210718478 A CN202210718478 A CN 202210718478A CN 115056626 A CN115056626 A CN 115056626A
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dressing
air conditioner
temperature
metabolism
coefficient
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陈子龙
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Xihua University
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Xihua University
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/0065—Control members, e.g. levers or knobs
    • B60H1/00657—Remote control devices
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00735—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models
    • B60H1/00742—Control systems or circuits characterised by their input, i.e. by the detection, measurement or calculation of particular conditions, e.g. signal treatment, dynamic models by detection of the vehicle occupants' presence; by detection of conditions relating to the body of occupants, e.g. using radiant heat detectors
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00814—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
    • B60H1/00821—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation the components being ventilating, air admitting or air distributing devices
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60H—ARRANGEMENTS OF HEATING, COOLING, VENTILATING OR OTHER AIR-TREATING DEVICES SPECIALLY ADAPTED FOR PASSENGER OR GOODS SPACES OF VEHICLES
    • B60H1/00—Heating, cooling or ventilating [HVAC] devices
    • B60H1/00642—Control systems or circuits; Control members or indication devices for heating, cooling or ventilating devices
    • B60H1/00814—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation
    • B60H1/00878—Control systems or circuits characterised by their output, for controlling particular components of the heating, cooling or ventilating installation the components being temperature regulating devices

Abstract

The invention belongs to the technical field of information, and particularly relates to a shared automobile rear-row microclimate optimization and adjustment method based on passenger thermal comfort. Calculating a metabolism correction coefficient through the heartbeat frequency, the body surface temperature and the walking distance, and correcting the preset air conditioner temperature by using the metabolism correction coefficient to obtain the actual air conditioner temperature; the dressing correction coefficient is calculated according to the dressing style, the dressing thickness and the ambient temperature, the preset air conditioner flow rate is corrected by using the dressing correction coefficient to obtain the actual air conditioner flow rate, the metabolism condition of a passenger, the dressing condition and the influence of the ambient temperature in a rear row room are comprehensively considered, and the thermal comfort of the passenger is considered in a multi-angle mode.

Description

Passenger thermal comfort based shared automobile rear row microclimate optimization and adjustment method
The application has the following application numbers: 202110150489.0, filing date: 2021-02-03, patent name "shared vehicle rear row micro climate regulating method and system with multi-parameter influence".
Technical Field
The invention belongs to the technical field of information, and particularly relates to a shared automobile rear-row microclimate optimization and adjustment method based on passenger thermal comfort.
Background
In order to improve the riding comfort of passengers in the back row, taxis and the like often need to arrange two independently controllable partitioned air conditioners in the front row and the back row of an automobile, the temperature of the back row of the automobile can be controlled by the passengers through taxi taking software before the passengers get on the automobile, and the temperature of the back row is proper when the passengers conveniently take the automobile.
In the prior art, the passenger is required to independently set the temperature of the rear-row chamber, but if the passenger does not know the adaptive temperature of the passenger, the temperature of the rear-row chamber may be set to be lower or higher. The back row room temperature that previous passenger set up is higher, and when the back row room temperature that later passenger set up was lower, the air conditioner of back row room can increase the amount of wind automatically with rapid cooling, if the back passenger dressed short-sleeved shorts on the same day, then great amount of wind can let the position that the back passenger exposed outside feel cool. Moreover, when the passenger walks for a long distance, the passenger metabolizes in the body quickly, the temperature of the back row room is required to be properly reduced, the humidity is properly reduced, the air volume is moderate, but the passenger sets a higher temperature or pre-judges a lower temperature according to the habit of the passenger, and the riding comfort is poorer at the moment.
According to the interior microclimate analysis of car, except that the temperature influences passenger's hot comfort, humidity, wind speed, heat radiation, the metabolism condition of oneself, dress all have an influence to passenger's hot comfort on the same day, consequently, need urgently one kind can be according to passenger's metabolism, a plurality of factors such as the dress condition on the same day, finely tune the back row room temperature that the passenger set for in order to obtain satisfied hot comfort.
Disclosure of Invention
The invention aims to provide a shared automobile rear-row microclimate optimization and regulation method based on passenger thermal comfort, which can automatically regulate the temperature and the flow rate of an air conditioner in an automobile rear-row chamber according to the metabolism of passengers and the wearing condition of the passengers on the same day.
In order to achieve the purpose of the invention, the technical scheme adopted by the invention is as follows: an optimal adjustment method for shared rear-row microclimate of an automobile based on passenger thermal comfort is characterized in that the preset air-conditioning temperature T is adjusted 0 Correcting metabolism parameters to obtain the actual air conditioner temperature T; will preset the air conditioner flow velocity V 0 And (4) correcting the dressing parameters and the ambient temperature in the rear row of the automobile to obtain the actual air conditioner flow velocity V.
Preferably: comprises the following steps of (a) carrying out,
a1, collecting the metabolism parameters, wherein the metabolism parameters comprise heartbeat frequency, body surface temperature and walking distance, and calculating a metabolism correction coefficient a according to the metabolism parameters;
a2, collecting the dressing parameters, wherein the dressing parameters comprise dressing patterns and dressing thickness, and calculating a dressing correction coefficient b according to the dressing parameters and by combining the environmental temperature;
a3, setting the preset air-conditioning temperature T by passengers 0 And the preset air conditioner flow velocity V 0 ；
A4, setting air-conditioning temperature T according to metabolism correction coefficient a and metabolism coefficient alpha 0 Correcting to obtain the actual air conditioner temperature T, and extracting the metabolism coefficient alpha from a database; and the preset air conditioner flow velocity V is matched according to the dressing correction coefficient b and the dressing coefficient beta 0 And correcting to obtain the actual air conditioner flow velocity V, and extracting the dressing coefficient beta from a database.
Preferably: the actual air conditioner temperature T is calculated according to the formula T ═ T 0 (1+ a [. alpha.), a ranges from [ -0.2,0.2 []The value range of alpha is (0, 1); the calculation formula of the actual air conditioner flow velocity V is V ═ V 0 + b is beta, b takes on the range [0.2, 2.0%]And the value range of beta is (0, 1).
Preferably: also comprises the following steps of (1) preparing,
a5, monitoring whether the air conditioner temperature T 'and the air conditioner flow rate V' in the rear row of rooms are adjusted in real time in the passenger riding process, wherein the air conditioner temperature T 'is the actual air conditioner temperature T at the moment, and the air conditioner flow rate V' is the actual air conditioner flow rate V at the moment;
a5.1, if the temperature T 'and the flow rate V' of the air conditioner are not adjusted, storing the metabolism coefficient alpha and the dressing coefficient beta into a database;
a5.2, if the air-conditioning temperature T ' is adjusted, adjusting the air-conditioning temperature T ' according to the air-conditioning temperature T ' and the preset air-conditioning temperature T 0 And recalculating a metabolism coefficient alpha by the metabolism correction coefficient a, wherein the metabolism coefficient alpha is calculated by a formula of alpha ═ T' -T 0 ) V (a × T'); if the air conditioner flow velocity V 'is adjusted, the preset air conditioner flow velocity V is adjusted according to the air conditioner flow velocity V' and the preset air conditioner flow velocity V 0 And recalculating the dressing coefficient beta by the dressing correction coefficient b, wherein the dressing coefficient beta is calculated by a formula of beta ═ V' -V 0 ) B; storing the recalculated metabolism coefficient alpha and dressing coefficient beta into a database;
and A5.3, if the air conditioner temperature T 'and/or the air conditioner flow rate V' in the rear row of rooms are adjusted for multiple times in the riding process, the step A5.2 is repeated once, the recalculated metabolism coefficient alpha and/or the dressing coefficient beta are stored in the database, and the metabolism coefficient alpha and/or the dressing coefficient beta stored last time in the current riding process are replaced.
Preferably: and grouping the metabolism coefficients alpha and the dressing coefficients beta stored in the database according to age, sex, height and weight, and respectively recalculating the mean value of all the metabolism coefficients alpha and the mean value of all the dressing coefficients beta in each group.
Preferably, the following components: the calculation formula of the metabolism coefficient alpha of each group in the database is alpha ═ alpha [ (. alpha.) ] 1 2 +α 2 2 +α 3 2 +···+α n 2 )/n] 1/2 ，α n (ii) the nth value of the metabolic coefficient stored in the database; the dressing coefficient beta of each group in the database is calculated as beta ═ beta [ (beta) 1 2 +β 2 2 +β 3 2 +···+β n 2 )/n] 1/2 ，β n The value of the loading coefficient for the nth stored to the database.
Correspondingly: the shared automobile rear row micro-climate regulating system influenced by multiple parameters comprises an information input module, a sensor module, an information processing module and a database module, wherein the information input module is used for passengers to input information and transmitting the information to the information processing module;
the sensor module collects the walking distance, the heartbeat frequency and the body surface temperature of a passenger, transmits the data to the information processing module and is in wireless communication connection with the information processing module;
the parameters input by the information input module comprise dressing parameters and preset air conditioner temperature T 0 And the preset air conditioner flow velocity V 0 ；
The information processing module acquires the dressing style, the dressing thickness and the ambient temperature in the rear row chamber of the passenger, the information processing module analyzes and calculates the actual air conditioner temperature T according to the walking distance, the heartbeat frequency and the body surface temperature of the passenger, analyzes and calculates the actual air conditioner flow velocity V according to the dressing style, the dressing thickness and the ambient temperature of the passenger, and transmits the calculation result to an air conditioner controller in the rear row chamber of the automobile, and the air conditioner controller controls the temperature and the flow velocity of the air conditioner according to the actual air conditioner temperature T and the actual air conditioner flow velocity V;
the database module stores data of the information processing module, is a cloud database and is in wireless communication connection with the information processing module.
Preferably: the sensor module comprises a step counting sensor, a heartbeat frequency sensor and a body surface temperature sensor; the sensor module is carried by a passenger or is installed and carried in a smart phone used by the passenger.
Preferably: the information processing module is in wireless communication connection with the air conditioner controller, and the air conditioner controller is in wireless communication connection or electric connection with an air volume control circuit and a wind direction control circuit of the air conditioner; the information processing module is one of an AT89C52 singlechip, a PLC industrial controller and a micro integrated CPU industrial control mainboard.
Preferably: the information processing module is in wireless communication connection with an ambient temperature sensor, and the ambient temperature sensor is arranged in a rear row of an automobile; the environment temperature sensor is a central air-conditioning YMAC YCAE temperature sensor or an environment temperature sensor used on a car.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the metabolism correction coefficient is calculated through the heartbeat frequency, the body surface temperature and the walking distance, and then the preset air conditioner temperature is corrected by utilizing the metabolism correction coefficient to obtain the actual air conditioner temperature; the dressing correction coefficient is calculated according to the dressing style, the dressing thickness and the ambient temperature, the preset air conditioner flow rate is corrected by using the dressing correction coefficient to obtain the actual air conditioner flow rate, the metabolism condition of a passenger, the dressing condition and the influence of the ambient temperature in a rear row room are comprehensively considered, and the thermal comfort of the passenger is considered in a multi-angle mode.
2. The metabolism coefficient alpha and the dressing coefficient beta in the database are grouped according to age, sex, height and weight, the metabolism coefficient alpha and the dressing coefficient beta in each group are continuously updated, and the mean value is recalculated, so that better thermal comfort performance is realized, and the requirements of different crowds can be better adapted. The method can continuously learn the metabolism coefficient alpha and the dressing coefficient beta, continuously update data, does not need to specially establish a database, is continuously perfect in the using process and has low cost.
Drawings
FIG. 1 is a block diagram of the present invention for optimizing and adjusting rear row micro-climate of a shared vehicle based on thermal comfort of passengers.
FIG. 2 is a block diagram of a multi-parameter influenced shared vehicle rear-row micro-climate regulation system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. Unless otherwise specified, the technical means used in the examples are conventional means well known to those skilled in the art.
The method for optimally adjusting the rear row micro-climate of the shared automobile based on the thermal comfort of passengers as shown in figure 1 is to preset the air-conditioning temperature T 0 Correcting metabolism parameters to obtain the actual air conditioner temperature T; will preset the air conditioner flow velocity V 0 And (4) correcting the dressing parameters and the ambient temperature to obtain the actual air conditioner flow velocity V. It should be noted that the preset air-conditioning temperature T 0 The temperature is the air-conditioning temperature set by the passenger independently, the actual air-conditioning temperature T is the corrected air-conditioning temperature, and the temperature set by the rear row room air conditioner is the actual air-conditioning temperature T finally; presetting air conditioner flow velocity V 0 The flow rate of the air conditioner is set by the passenger independently, the actual flow rate V of the air conditioner is the corrected flow rate of the air conditioner, and the flow rate set by the air conditioner in the back row room is the actual flow rate V of the air conditioner. The metabolism parameters refer to heartbeat frequency, respiratory frequency, body surface temperature, walking distance and perspiration, and the dressing parameters refer to length of clothes/trousers, thickness of clothes/trousers, number of clothes/trousers, and spring/summer/autumn/winter clothes/trousers.
Further, the method for optimally adjusting the rear row micro-climate of the shared automobile based on the thermal comfort of passengers comprises the following steps:
a1, collecting the metabolism parameters of passengers, wherein the metabolism parameters comprise heartbeat frequency, body surface temperature and walking distance, and calculating a metabolism correction coefficient a according to the metabolism parameters;
a2, collecting dressing parameters including dressing pattern and dressing thickness, and calculating a dressing correction coefficient b according to the dressing parameters and the environment temperature;
a3, setting the preset air-conditioning temperature T by the passenger 0 And the preset air conditioner flow velocity V 0 ；
A4, setting air-conditioning temperature T according to metabolism correction coefficient a and metabolism coefficient alpha 0 Correcting to obtain the actual air conditioner temperature T, and extracting the metabolism coefficient alpha from the database; and the preset air conditioner flow velocity V is matched according to the dressing correction coefficient b and the dressing coefficient beta 0 And correcting to obtain the actual air conditioner flow velocity V, and extracting the dressing coefficient beta from the database.
It should be noted that according to the microclimate analysis in the automobile room, besides the temperature affecting the thermal comfort of the passengers, the humidity, the wind speed, the thermal radiation, the self-metabolism condition and the wearing condition in the same day all affect the thermal comfort of the passengers, wherein the humidity and the thermal radiation change in the automobile are small, and the influence on the human body is smaller than the temperature and the wind speed, so the influence of the humidity and the thermal radiation in the automobile on the thermal comfort of the passengers is not considered in order to simplify the data model, and only the influence of the self-metabolism condition and the wearing condition in the same day is considered. The dressing style mentioned in step a2 refers to whether the garment/trousers is spring wear, summer wear, autumn wear, winter wear, whether the garment is long-sleeved or short-sleeved, and whether the trousers are long-pants or short-pants; dressing thickness means that the thickness of the garment/pants is thinner, medium, thicker; the environment temperature refers to the temperature in the automobile back row chamber, and the environment temperature sensor is arranged in the automobile back row chamber and can monitor the temperature in the back row chamber in real time. The dressing condition of the current passenger can be actively selected by the passenger or can be selected by default according to seasons.
Further, the actual air conditioner temperature T is calculatedFormula is T ═ T 0 (1+ a [. alpha.), a ranges from [ -0.2,0.2 []The value range of alpha is (0, 1); the actual air-conditioning flow velocity V is calculated by the formula V ═ V 0 + b is beta, b takes on the range [0.2, 2.0%]And the value range of beta is (0, 1). It should be noted that, in order to enable passengers to have better thermal comfort experience, the actual air-conditioning temperature T has an optimal value range, when the clothing thickness is thin, thin and medium, the actual air-conditioning temperature T has a value range of 23-27 ℃, and when the clothing thickness is thick and thick, the actual air-conditioning temperature T has a value range of 20-25 ℃; the actual air conditioner flow velocity V has an optimal value range, when the clothing thickness is thin, thin and medium, the actual air conditioner flow velocity V has a value range of 0.2-0.8m/s, and when the clothing thickness is thick and thick, the actual air conditioner flow velocity V has a value range of 0.5-1.2 m/s.
Further, the method for optimally adjusting the rear row micro-climate of the shared automobile based on the thermal comfort of passengers further comprises the following steps,
step A5, monitoring whether the air-conditioning temperature T 'and the air-conditioning flow rate V' in the rear row chamber are adjusted in real time in the passenger riding process, wherein the air-conditioning temperature T 'is the actual air-conditioning temperature T of the rear row chamber at the moment, namely the set temperature of the air conditioner, and the air-conditioning flow rate V' is the actual air-conditioning flow rate V of the rear row chamber at the moment, namely the set flow rate of the air conditioner;
a5.1, if the temperature T 'and the flow rate V' of the air conditioner are not adjusted, the metabolism coefficient alpha and the dressing coefficient beta provided by the database are proper, and the metabolism coefficient alpha and the dressing coefficient beta used in the riding process are stored in the database for next matching;
a5.2, if the passenger adjusts the air conditioner temperature T 'in the riding process, the metabolism coefficient alpha provided by the database is not appropriate, and the air conditioner temperature T' needs to be preset according to the air conditioner temperature T 0 And recalculating a metabolism coefficient alpha by the metabolism correction coefficient a, wherein the metabolism coefficient alpha is calculated by a formula of alpha ═ T' -T 0 ) (a x T'), and storing the recalculated metabolic coefficient α to a database;
if the flow rate V' of the air conditioner is adjusted during the passenger riding process, the dressing coefficient beta provided by the database is not appropriate, and the air conditioner flow is required to be adjusted according to the dressing coefficient betaSpeed V' and preset air conditioner flow speed V 0 And recalculating the dressing coefficient beta by the dressing correction coefficient b, wherein the dressing coefficient beta is calculated by a formula of beta ═ V' -V 0 ) B, storing the recalculated dressing coefficients beta into a database;
and A5.3, if the air conditioner temperature T 'and/or the air conditioner flow rate V' in the rear row of rooms are adjusted for one time in the riding process, repeating the step A5.2 once, storing the recalculated metabolism coefficient alpha and/or the dressing coefficient beta into the database, and replacing the metabolism coefficient alpha and/or the dressing coefficient beta stored last time in the current riding process.
Furthermore, in order to better adapt to the needs of different people, the metabolism coefficients alpha and the dressing coefficients beta stored in the database are divided into 4 different groups according to age, sex, height and weight, and when new metabolism coefficients alpha and dressing coefficients beta are stored in the database, the mean values of all the metabolism coefficients alpha and the mean values of all the dressing coefficients beta in each group need to be recalculated, so that the next matching is facilitated. The average means is an average value of a group of numbers, and may be one of an arithmetic average, a geometric average, a root mean square average, a harmonic average, a weighted average, and the like. The method can continuously learn the metabolism coefficient alpha and the dressing coefficient beta, continuously update data, does not need to specially establish a database, is continuously perfect in the using process and has low cost.
In order to provide better thermal comfort for the passengers and better adapt to the needs of different people, the passenger has a better riding experience, and the calculation formula of the metabolic coefficient alpha of each group in the database is alpha ═ alpha [ (. alpha.) ] 1 2 +α 2 2 +α 3 2 +···+α n 2 )/n] 1/2 ，α n The nth value of the metabolism coefficient stored in the database; the dressing coefficient beta of each group in the database is calculated as beta ═ beta [ (beta) 1 2 +β 2 2 +β 3 2 +···+β n 2 )/n] 1/2 ，β n Is as followsn values of the loading coefficients stored in the database.
The multi-parameter influence shared automobile rear row micro-climate regulating system shown in figure 2 comprises a sensor module, an information input module, an information processing module and a database module,
the sensor module comprises a step counting sensor, a heartbeat frequency sensor and a body surface temperature sensor, the step counting sensor, the heartbeat frequency sensor and the body surface temperature sensor can be additionally and independently arranged, or the step counting sensor, the heartbeat frequency sensor and the body surface temperature sensor which are arranged in the mobile phone can be directly used, if the sensor module is carried by a passenger or is arranged in an intelligent mobile phone used by the passenger, the sensor module collects the walking distance, the heartbeat frequency and the body surface temperature of the passenger and transmits the collected data to the information processing module, and the sensor module is in wireless communication connection with the information processing module;
the information input module is used for passengers to input information, the input information comprises the age, sex, height, weight, dressing style and dressing thickness of the passengers, and meanwhile, the preset air conditioner temperature T is required to be input 0 And the preset air conditioner flow velocity V 0 ；
The information processing module acquires the dressing style, the dressing thickness and the ambient temperature in the rear row of rooms of passengers, the information processing module analyzes and calculates the actual air conditioner temperature T of the rear row of indoor air conditioners according to the walking distance, the heartbeat frequency and the body surface temperature of the passengers, analyzes and calculates the actual air conditioner flow velocity V of the rear row of indoor air conditioners according to the dressing style, the dressing thickness and the ambient temperature of the passengers, and transmits the calculation results to an air conditioner controller in the rear row of rooms of the automobile, and the air conditioner controller controls the temperature and the flow velocity of the air conditioners according to the actual air conditioner temperature T and the actual air conditioner flow velocity V;
the data can be interacted between the database module and the information processing module, the database module stores the data of the information processing module, the information processing module can extract the data from the database module for use, the database module can be a hard disk, a magnetic disk or a cloud disk numerical control library, and the preferred embodiment is that the database module is a cloud database and is in wireless communication connection with the information processing module.
Further, the information processing module is in wireless communication connection with an ambient temperature sensor, the ambient temperature sensor is arranged in a rear row of the automobile and is a central air conditioner YMAC YCAE temperature sensor or an ambient temperature sensor used on the automobile; the information processing module is in wireless communication connection with the air conditioner controller, the air conditioner controller is arranged in a rear row of a vehicle, the air conditioner controller is in wireless communication connection or electric connection with an air volume control circuit and an air direction control circuit of an air conditioner, and the information processing module is one of an AT89C52 single chip microcomputer, a PLC industrial control machine and a micro integrated CPU industrial control mainboard.
Further, an algorithm analysis program of the air conditioner temperature and the flow rate is arranged in the information processing module, and the specific working logic of the algorithm analysis program is as follows:
calculating a metabolism correction coefficient a according to the heartbeat frequency, the body surface temperature and the walking distance, and combining the metabolism coefficient alpha stored in the database module to preset air conditioner temperature T 0 Correcting the temperature T of the air conditioner to obtain the actual air conditioner temperature T with the calculation formula of T ═ T 0 (1+a*α)，T 0 The preset air-conditioning temperature set for the passenger independently, a is a metabolism correction coefficient calculated by heartbeat frequency, body surface temperature and walking distance, and the value range is [ -0.2,0.2]Alpha is a metabolism coefficient, and the value range is (0, 1);
calculating dressing correction coefficient b according to the dressing style, the dressing thickness and the ambient temperature, and combining the dressing correction coefficient beta to preset air conditioner flow velocity V 0 Correcting to obtain the actual air conditioner flow velocity V with the calculation formula of V ═ V 0 +b*β，V 0 Preset air-conditioning flow rate set for passenger, and b is dressing correction coefficient calculated from dressing pattern, dressing thickness and ambient temperature, and its value range is [0.2,2.0 ]]Beta is dressing coefficient, and the value range is (0, 1);
if the temperature T 'and the flow rate V' of the air conditioner are not adjusted in the riding process, the metabolism coefficient alpha and the dressing coefficient beta are stored in a database; if the air-conditioning temperature T 'is adjusted, the air-conditioning temperature T' is preset according to the air-conditioning temperature T 0 And recalculating the metabolism coefficient alpha by the metabolism correction coefficient a, wherein the metabolism coefficient alpha is calculated by the formula of alpha ═ T' -T 0 )/(a*T`)；If the air conditioner flow velocity V' is adjusted, the air conditioner flow velocity V is preset according to the air conditioner flow velocity V 0 And recalculating the dressing coefficient beta by the dressing correction coefficient b, wherein the dressing coefficient beta is calculated by a formula of beta ═ V' -V 0 ) B, storing the recalculated metabolism coefficient alpha and the dressing coefficient beta into a database; if the air conditioner temperature T 'and/or the air conditioner flow rate V' in the rear row of rooms are adjusted for a plurality of times in the riding process, the adjustment is performed once, the metabolism coefficient alpha and/or the dressing coefficient beta need to be calculated repeatedly, the recalculated metabolism coefficient alpha and/or the dressing coefficient beta are stored in the database, and the metabolism coefficient alpha and/or the dressing coefficient beta stored last time in the current riding process are replaced;
and grouping the metabolism coefficients alpha and the dressing coefficients beta stored in the database according to age, sex, height and weight, and respectively recalculating the mean value of all the metabolism coefficients alpha and the mean value of all the dressing coefficients beta in each group.
Furthermore, each passenger can generate a metabolism coefficient alpha and a dressing coefficient beta in the riding process and store the metabolism coefficient alpha and the dressing coefficient beta into a cloud database, the passengers are grouped in the cloud database according to age, sex, height and weight, all the metabolism coefficients alpha and the dressing coefficients beta in each group are averaged, the calculated metabolism coefficient alpha average value and the dressing coefficient beta average value are used for next matching, and the calculation formula of the metabolism coefficient alpha is alpha [ (alpha-alpha) 1 2 +α 2 2 +α 3 2 +···+α n 2 )/n] 1/2 ，α n The value of the metabolism coefficient stored to the database module for the nth; the dressing coefficient beta is calculated by the formula of beta ═ beta [ (beta) 1 2 +β 2 2 +β 3 2 +···+β n 2 )/n] 1/2 ，β n The value of the loading coefficient is stored for the nth to the database module.
The working process of the multi-parameter influence shared automobile rear row micro-climate regulation system is as follows:
b1, the passenger inputs the age, sex, height and weight information of the person through the information input module, and inputs the current dressing style and dressing thickness at the same time, and the information input module transmits the information to the information processing module;
b2, acquiring the walking distance of the passenger by the sensor module through the step counting sensor, acquiring the heartbeat frequency of the passenger by the heartbeat frequency sensor, acquiring the body surface temperature of the passenger by the body surface temperature sensor, and transmitting the acquired walking distance, heartbeat frequency and body surface temperature data to the information processing module;
b3, the passenger inputs the preset air-conditioning temperature T through the information input module 0 And the preset air conditioner flow velocity V 0 ；
B4, the information processing module calculates a metabolism correction coefficient a according to the heartbeat frequency, the body surface temperature and the walking distance data of the passengers, and calculates a dressing correction coefficient B according to the dressing style, the dressing thickness and the environmental temperature in the rear row chamber of the passengers;
b5, the information processing module extracts the metabolism coefficient alpha and the dressing coefficient beta from the database module, and the preset air-conditioning temperature T is adjusted according to the metabolism correction coefficient a and the metabolism coefficient alpha 0 Correcting to obtain the actual air-conditioning temperature T, wherein the calculation formula of the actual air-conditioning temperature T is T ═ T 0 (1+ a [. alpha.), a ranges from [ -0.2,0.2 []The value range of alpha is (0, 1); according to the dressing correction coefficient b and the dressing coefficient beta, the preset air conditioner flow velocity V is matched 0 Correcting to obtain the actual air-conditioning flow velocity V, wherein the calculation formula of the actual air-conditioning flow velocity V is V ═ V 0 + b is beta, b takes on the range [0.2, 2.0%]The value range of beta is (0, 1);
b6, the information processing module wirelessly transmits the actual air conditioner temperature T and the actual air conditioner flow velocity V calculated by B5 to the air conditioner controller, and the air conditioner controller controls the temperature and the flow velocity of the air conditioner according to the received control instruction;
b7, monitoring whether the temperature T 'and the flow rate V' of the air conditioner in the rear row room are adjusted in real time during the passenger riding process,
b7.1, if the temperature T 'and the flow rate V' of the air conditioner are not adjusted, storing the metabolism coefficient alpha and the dressing coefficient beta generated in the riding process to a database module;
b7.2, if the air conditioner temperature T ' is adjusted, adjusting the air conditioner temperature T ' according to the air conditioner temperature T ' and the preset air conditioner temperature T 0 And recalculating the metabolism coefficient alpha by the metabolism correction coefficient a, wherein the metabolism coefficient alpha is calculated by the formula of alpha ═ T' -T 0 ) V (a × T'); if the air conditioner flow velocity V' is adjusted, the air conditioner flow velocity V is preset according to the air conditioner flow velocity V 0 And recalculating the dressing coefficient beta by the dressing correction coefficient b, wherein the dressing coefficient beta is calculated by a formula of beta ═ V' -V 0 ) B; storing the recalculated metabolism coefficient alpha and dressing coefficient beta into a database;
and B7.3, if the air conditioner temperature T 'and/or the air conditioner flow rate V' in the rear row of rooms are adjusted for multiple times in the riding process, repeating the step A7.2 once every adjustment, storing the recalculated metabolism coefficient alpha and/or the dressing coefficient beta into the database, and replacing the metabolism coefficient alpha and/or the dressing coefficient beta stored last time in the current riding process.
B8, grouping the metabolism coefficients alpha and the dressing coefficients beta generated in the step B7 in the database module according to age, sex, height and weight, recalculating the mean value of all the metabolism coefficients alpha and the mean value of all the dressing coefficients beta in each group, storing the mean value of the metabolism coefficients alpha and the mean value of all the dressing coefficients beta in the database module, and carrying out next matching.
The above-described embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various changes, modifications, alterations, and substitutions which may be made by those skilled in the art without departing from the spirit of the present invention shall fall within the protection scope defined by the claims of the present invention.

Claims (3)

1. Passenger thermal comfort based shared automobile rear-row microclimate optimization and regulation method is characterized by comprising the following steps: the system used by the adjusting method comprises an information input module, a sensor module, an information processing module and a database module, wherein the information input module is used for passengers to input information and transmitting the information to the information processing module;
the sensor module collects the walking distance, the heartbeat frequency and the body surface temperature of a passenger, transmits the data to the information processing module and is in wireless communication connection with the information processing module;
the parameters input by the information input module comprise dressing parameters and preset air conditioner temperature T 0 And the preset air conditioner flow velocity V 0 ；
The information processing module acquires the dressing style, the dressing thickness and the ambient temperature in the rear row chamber of the passenger, the information processing module analyzes and calculates the actual air-conditioning temperature T according to the walking distance, the heartbeat frequency and the body surface temperature of the passenger, analyzes and calculates the actual air-conditioning flow velocity V according to the dressing style, the dressing thickness and the ambient temperature of the passenger, and transmits the actual air-conditioning temperature T and the actual air-conditioning flow velocity V to an air-conditioning controller in the rear row chamber of the automobile, and the air-conditioning controller controls the temperature and the flow velocity of the air conditioner according to the actual air-conditioning temperature T and the actual air-conditioning flow velocity V;
the database module stores data of the information processing module, is a cloud database and is in wireless communication connection with the information processing module;
the sensor module comprises a step counting sensor, a heartbeat frequency sensor and a body surface temperature sensor; the sensor module is carried by a passenger or is installed and carried in a smart phone used by the passenger; the information processing module is in wireless communication connection with an ambient temperature sensor, and the ambient temperature sensor is arranged in a rear row of an automobile;
the passenger thermal comfort based shared automobile rear-row microclimate optimization and adjustment method comprises the following steps:
will preset the air-conditioning temperature T 0 Correcting metabolism parameters to obtain the actual air conditioner temperature T; will preset the air conditioner flow velocity V 0 Obtaining the actual air conditioner flow velocity V through dressing parameters and the correction of the environmental temperature in the rear row of the automobile; the method comprises the following steps:
a1, collecting the metabolism parameters, wherein the metabolism parameters comprise heartbeat frequency, respiratory frequency, body surface temperature, walking distance and perspiration, and calculating a metabolism correction coefficient a according to the metabolism parameters;
a2, acquiring the dressing parameters, wherein the dressing parameters comprise a dressing pattern and a dressing thickness, and the dressing pattern comprises clothes length or trousers length, clothes thickness or trousers thickness, clothes quantity or trousers quantity, spring or summer or autumn or winter clothes, and spring or summer or autumn or winter trousers; the dressing thickness refers to that the thickness of the clothes or trousers is thinner, medium, thicker and thicker; calculating a dressing correction coefficient b according to the dressing parameters and by combining the environmental temperature;
a3, setting the preset air-conditioning temperature T by passengers 0 And the preset air conditioner flow velocity V 0 ；
A4, setting the air-conditioning temperature T according to the metabolism correction coefficient a and the metabolism coefficient alpha 0 Correcting to obtain the actual air conditioner temperature T, and extracting the metabolism coefficient alpha from a database; and the preset air conditioner flow velocity V is matched according to the dressing correction coefficient b and the dressing coefficient beta 0 Correcting to obtain the actual air conditioner flow velocity V, and extracting the dressing coefficient beta from a database; the actual air conditioner temperature T is calculated according to the formula T ═ T 0 (1+ a [. alpha.), a ranges from [ -0.2,0.2 []The value range of alpha is (0, 1); the calculation formula of the actual air conditioner flow velocity V is V ═ V 0 + b is beta, b takes on the range [0.2, 2.0%]The value range of beta is (0, 1);
a5, monitoring whether the air conditioner temperature T 'and the air conditioner flow rate V' in the rear row of rooms are adjusted in real time in the passenger riding process, wherein the air conditioner temperature T 'is the actual air conditioner temperature T at the moment, and the air conditioner flow rate V' is the actual air conditioner flow rate V at the moment;
a5.1, if the temperature T 'and the flow rate V' of the air conditioner are not adjusted, storing the metabolism coefficient alpha and the dressing coefficient beta into a database;
a5.2, if the air-conditioning temperature T 'is adjusted, presetting the air-conditioning temperature T' according to the air-conditioning temperature T 0 And recalculating a metabolism coefficient alpha by the metabolism correction coefficient a, wherein the metabolism coefficient alpha is calculated by a formula of alpha ═ T' -T 0 ) V (a × T'); if the air conditioner flow velocity V 'is adjusted, the preset air conditioner flow velocity V is adjusted according to the air conditioner flow velocity V' and the preset air conditioner flow velocity V 0 And recalculating the dressing coefficient beta by the dressing correction coefficient b, wherein the dressing coefficient beta is calculated by a formula of beta ═ V' -V 0 ) B; storing the recalculated metabolism coefficient alpha and dressing coefficient beta into a database;
a5.3, if the temperature T 'and/or the flow rate V' of the air conditioner in the rear row of rooms are adjusted for a plurality of times in the riding process, the step A5.2 is repeated once, the recalculated metabolism coefficient alpha and/or the dressing coefficient beta are stored in the database, and the metabolism coefficient alpha and/or the dressing coefficient beta stored last time in the current riding process are replaced;
in the step A4, when the dressing thickness is thin, thin and medium, the value range of the actual air-conditioning temperature T is 23-27 ℃, and when the dressing thickness is thick and thick, the value range of the actual air-conditioning temperature T is 20-25 ℃; when the dressing thickness is thin, thin and medium, the actual air conditioner flow velocity V ranges from 0.2 m/s to 0.8m/s, and when the dressing thickness is thick and thick, the actual air conditioner flow velocity V ranges from 0.5 m/s to 1.2 m/s.
2. The passenger thermal comfort-based shared automobile rear-row micro-climate optimization adjustment method according to claim 1, characterized in that: and grouping the metabolism coefficients alpha and the dressing coefficients beta stored in the database according to age, sex, height and weight, and respectively recalculating the mean value of all the metabolism coefficients alpha and the mean value of all the dressing coefficients beta in each group.
3. The passenger thermal comfort based shared automobile rear micro-climate optimization adjustment method according to claim 2, characterized in that: the calculation formula of the metabolism coefficient alpha of each group in the database is alpha ═ alpha [ (. alpha.) ] 1 2 +α 2 2 +α 3 2 +···+α n 2 )/n] 1/2 ，α n (ii) the nth value of the metabolic coefficient stored in the database; the dressing coefficient beta of each group in the database is calculated as beta ═ beta [ (beta) 1 2 +β 2 2 +β 3 2 +···+β n 2 )/n] 1/2 ，β n The value of the loading coefficient for the nth stored to the database.
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