Vehicle sleeping berth thermal comfort evaluation method and device

Abstract

The invention discloses a vehicle sleeping berth thermal comfort evaluation method and device, and relates to the field of vehicle sleeping berths, and the method comprises the steps: setting a sleeping berth heating sample working condition; collecting vehicle state information according to the sleeping berth heating sample working condition; the vehicle state information comprises sleeping berth state information, sleeping berth cabin internal and external environment information and vehicle running state information; obtaining thermal comfort state index information according to the sleeping berth state information and the internal and external environment information of the sleeping berth cabin; according to the vehicle state information, obtaining process information for achieving a thermal comfort state; according to the thermal comfort state index information and the process information of achieving the thermal comfort state, evaluating the vehicle sleeping berth thermal comfort corresponding to the working condition of the sleeping berth heating sample; evaluating the thermal comfort of the sleeping berth corresponding to the actual working condition of sleeping berth heating by taking the thermal comfort of the sleeping berth corresponding to the working condition of the sleeping berth heating sample as a reference system; and according to the evaluation of the vehicle sleeping berth thermal comfort corresponding to the actual working condition of sleeping berth heating, the thermal comfort state index is debugged, and the process of achieving the thermal comfort state is achieved.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of vehicle sleeping berth, and in particular to a vehicle sleeping berth thermal comfort evaluation method, a vehicle sleeping berth thermal comfort evaluation device, an electronic device, a storage medium and a vehicle cabin. BACKGROUND

[0002] During long-distance transportation, commercial vehicle drivers need to rest in the vehicle sleeping berth to recover their energy. The thermal comfort of the sleeping berth plays a key role in the rest quality of the driver, and further affects the driving safety and transportation efficiency. However, there are many deficiencies in the current evaluation of the thermal comfort of the commercial vehicle sleeping berth. The traditional evaluation mainly relies on the subjective feedback of the driver. Due to the different sensitivity and evaluation standards of individuals to thermal sensation, the evaluation result is greatly biased and lacks objectivity. At the same time, the existing objective evaluation method of the thermal comfort of the commercial vehicle mainly targets the passenger comfort adjustment system such as air conditioner and seat heating, and does not systematically consider various thermal performance indicators of the sleeping berth and complex environmental factors in actual operation. For example, in cold weather, the advantages and disadvantages of the heating performance of the sleeping berth, including the heating speed and temperature uniformity, will greatly affect the rest experience of the driver. However, the existing evaluation system is difficult to accurately quantify the influence of these factors on the thermal comfort, which leads to the inability to provide a strong basis for the design optimization and performance improvement of the sleeping berth. SUMMARY

[0003] The purpose of the present application is to provide a vehicle sleeping berth thermal comfort evaluation method, a vehicle sleeping berth thermal comfort evaluation device, an electronic device, a storage medium and a vehicle cabin, which at least solve one of the problems of inaccurate sleeping berth thermal comfort evaluation, difficult sleeping berth thermal comfort evaluation due to complex scene, and lack of reference for personalized sleeping berth thermal comfort evaluation.

[0004] The present application provides the following solutions:

[0005] According to a first aspect of the present application, a vehicle sleeping berth thermal comfort evaluation method is provided, which comprises:

[0006] setting a sleeping berth heating sample working condition;

[0007] collecting vehicle state information according to the sleeping berth heating sample working condition;

[0008] The vehicle state information includes sleeping berth state information, sleeping berth cabin inside and outside environment information and vehicle running state information;

[0009] obtaining thermal comfort state index information according to the sleeping berth state information and the sleeping berth cabin inside and outside environment information;

[0010] obtaining process information for achieving thermal comfort state according to the vehicle state information;

[0011] According to the thermal comfort state index information and the process information of achieving the thermal comfort state, the train sleeper thermal comfort corresponding to the sleeper heating sample working condition is evaluated;

[0012] According to the evaluation of the train sleeper thermal comfort corresponding to the sleeper heating sample working condition as a reference system, the train sleeper thermal comfort corresponding to the sleeper heating actual working condition is evaluated;

[0013] According to the evaluation of the train sleeper thermal comfort corresponding to the sleeper heating actual working condition, the thermal comfort state index and the process of achieving the thermal comfort state are debugged.

[0014] Further, the sleeper heating sample working condition is set, including:

[0015] The sleeper cabin external environment temperature is set to simulate the preset cold environment;

[0016] The sleeper heating function is started until the temperature reaches the preset balance state;

[0017] Among them, based on the application simulation of the sleeper and the sleeper cabin, the states with and without people are respectively arranged and combined;

[0018] Among them, the state with people includes the state that both the sleeper and the sleeper cabin have people, only the sleeper has people, and only the sleeper cabin has people;

[0019] According to the states with and without people arranged and combined respectively, the manikin is set to simulate the human body heat dissipation and heat exchange.

[0020] Further, according to the sleeper state information and the sleeper cabin internal and external environment information, the thermal comfort state index information is obtained, including:

[0021] The collected temperature Ta, wind speed V, air water vapor partial pressure Pa and average radiation temperature Tr data are input into the PMV model to obtain the thermal comfort state index:

[0022] ;

[0023] T cl =35.7−0.028⋅(M−W)−I cl ⋅{3.96⋅10−8⋅f cl ⋅[(T cl +273) 4 −(T r +273) 4 ]+f cl ⋅h c ⋅(T cl −T a )};

[0024] h c =2.38⋅∣T cl −T a| 0.25 for 2.38⋅∣T cl −T a ∣ 0.25 >12.1⋅ ;

[0025] 12.1⋅ for 2.38⋅∣T cl −T a ∣ 0.25 <12.1⋅ ;

[0026] f cl =1.00+1.290I cl for I cl ≤0.078m 2 ⋅K / W;

[0027] 1.05+0.645I cl for I cl >0.078m 2 ⋅K / W;

[0028] wherein:

[0029] M: metabolic rate of the human body;

[0030] W: work done by the human body to the outside;

[0031] T a : air temperature;

[0032] P a : water vapor partial pressure in the air;

[0033] T r : average radiant temperature;

[0034] V: air flow rate;

[0035] I cl : clothing thermal resistance.

[0036] Further, according to the vehicle state information, the process information for achieving the thermal comfort state includes:

[0037] The heating rate includes: ;

[0038] wherein, v represents the heating rate; ΔT represents the temperature change; Δt represents the time experienced by the heating;

[0039] The temperature balance value includes: when all temperature test points reach the balance state, calculating the temperature balance value of each temperature test point ;

[0040] Wherein, Ti represents the temperature balance value of the i-th measuring point; T1, T2, Tn represent the temperature values of the 1st, 2nd, n-th seconds;

[0041] The temperature uniformity includes:

[0042] Firstly, the average value of the temperature data is calculated:

[0043] Wherein represents the average value of the temperature data; Ti is the balance value of each temperature point data;

[0044] Then, the average value of the square of the difference between each data and the average value is calculated, including, variance

[0045] Wherein, S2 represents the variance of the 24 temperatures;

[0046] The power consumption includes: the power of each time point

[0047] Wherein P represents the power of a specific time point; U is the voltage value; I is the current value;

[0048] The consumed power in the time interval [t1, tn]

[0049] Wherein, E is the power consumption per unit time;

[0050] The maximum temperature value includes: Tmax;

[0051] Wherein, Tmax is the maximum temperature value in the time interval [t1, tn].

[0052] According to the second aspect of the present application, a vehicle sleeper thermal comfort evaluation device is provided, which includes a data acquisition module, a data processing module, a calculation and analysis module, and a result storage and output module;

[0053] The data acquisition module includes a temperature acquisition module and an analog module;

[0054] The temperature acquisition module is used to acquire sleeper state information and sleeper cabin environmental information;

[0055] The sleeper state information includes information of berth and cabin temperature state and temperature rising state;

[0056] The analog module is used to acquire sleeper cabin external environmental information;

[0057] The sleeper cabin external environmental information includes information of wind speed, humidity, and solar radiation intensity affecting the sleeper cabin internal environment;

[0058] The data acquisition module sends the standardized information data to the data processing module;​​​​

[0059] a data processing module, configured to pre-process the received data;

[0060] The pre-processing comprises operations of removing outliers and filtering;

[0061] The pre-processed data is converted in format and integrated according to requirements of a PMV model and evaluation indexes, and is transmitted to a calculation and analysis module;

[0062] The calculation and analysis module is configured to receive the pre-processed data, and calculate thermal comfort indexes and heating rate and temperature uniformity evaluation indexes;

[0063] The calculation results are transmitted to a result storage and output module;

[0064] The calculation and analysis module is internally provided with a PMV model algorithm and an evaluation index calculation program;

[0065] The result storage and output module is configured to store and calculate the received thermal comfort indexes and evaluation index data;

[0066] The result storage and output module is connected with a display screen, and outputs data for human-computer interaction and waits for receiving instructions of human-computer interaction.

[0067] Further, the system further comprises a manikin module;

[0068] The manikin module is configured to simulate human body heat dissipation and heat exchange;

[0069] The manikin module is arranged in the sleeper berth and / or sleeper cabin based on the presence of a person;

[0070] The data acquisition module acquires the sleeper cabin internal and external environment information and sleeper state information according to the presence or absence of a person.

[0071] Further, the manikin module comprises a thermal sensitivity parameter item;

[0072] The thermal sensitivity parameter item parameter is adjusted according to a preset simulated human body type;

[0073] The simulated human body heat dissipation and heat exchange state is controlled according to the adjusted thermal sensitivity parameter item parameter;

[0074] The data acquisition module acquires the sleeper cabin internal and external environment information and sleeper state information according to the control of the simulated human body heat dissipation and heat exchange state.

[0075] According to a third aspect of the present application, an electronic device is provided, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete communication with each other through the communication bus;

[0076] The computer program stored in the memory, when executed by the processor, causes the processor to perform the steps of the vehicle bunk thermal comfort evaluation method.

[0077] According to a fourth aspect of the present application, a computer readable storage medium is provided, storing a computer program executable by an electronic device, which when executed on the electronic device, causes the electronic device to perform the steps of the vehicle bunk thermal comfort evaluation method.

[0078] According to a fifth aspect of the present application, a vehicle cabin is provided, comprising:

[0079] An electronic device for implementing the steps of the vehicle bunk thermal comfort evaluation method;

[0080] A processor, the processor running a program, which when executed, performs the steps of the vehicle bunk thermal comfort evaluation method on data output from the electronic device;

[0081] A storage medium for storing a program, which when executed, performs the steps of the vehicle bunk thermal comfort evaluation method on data output from the electronic device.

[0082] Through the above-mentioned scheme, the following beneficial technical effects are obtained:

[0083] The present application sets up a bunk heating sample working condition, forms a reference system for evaluating the thermal comfort of the bunk, and makes the evaluation and device debugging have describability and accuracy.

[0084] The present application arranges and combines the state of having a person and not having a person respectively, sets up a dummy to simulate human heat dissipation and heat exchange, and considers the influence of personnel on the environment in the bunk, so that the evaluation of thermal comfort is more accurate.

[0085] The present application adds personalized information of the human body by adjusting the thermal sensitivity parameter item parameter according to the preset simulated human body type, so that the demand for thermal comfort of different types of people has more accurate describability.

[0086] The present application forms a strategy selection for controlling the equipment in the vehicle, such as the strategy selection of bunk heating or air conditioning heating, through the evaluation of thermal comfort. BRIEF DESCRIPTION OF DRAWINGS

[0087] Figure 1 is a flowchart of a vehicle bunk thermal comfort evaluation method provided by one or more embodiments of the present application.

[0088] Figure 2 is a structural diagram of a vehicle bunk thermal comfort evaluation device provided by one or more embodiments of the present application.

[0089] Figure 3is a schematic diagram of a test procedure provided by one embodiment of the present application.

[0090] Figure 4 is an electronic device structure block diagram of a vehicle sleeper thermal comfort evaluation method provided by one or more embodiments of the present application. DETAILED DESCRIPTION

[0091] The technical solutions of the present application will be described clearly and completely below in conjunction with the drawings. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0092] Figure 1 is a flowchart of a vehicle sleeper thermal comfort evaluation method provided by one or more embodiments of the present application.

[0093] As Figure 1 shown, the vehicle sleeper thermal comfort evaluation method includes:

[0094] Step A1, setting a sleeper heating sample working condition;

[0095] Step A2, collecting vehicle state information according to the sleeper heating sample working condition;

[0096] The vehicle state information includes sleeper state information, sleeper cabin inside and outside environment information, and vehicle running state information;

[0097] Step A3, obtaining thermal comfort state index information according to the sleeper state information and the sleeper cabin inside and outside environment information;

[0098] Step A4, obtaining process information for achieving thermal comfort state according to the vehicle state information;

[0099] Step A5, evaluating sleeper thermal comfort of the vehicle corresponding to the sleeper heating sample working condition according to the thermal comfort state index information and the process information for achieving thermal comfort state;

[0100] Step A6, evaluating sleeper thermal comfort of the vehicle corresponding to the sleeper heating actual working condition according to the sleeper thermal comfort of the vehicle corresponding to the sleeper heating sample working condition as a reference system;

[0101] Step A7, debugging the thermal comfort state index and the process for achieving thermal comfort state according to the sleeper thermal comfort of the vehicle corresponding to the sleeper heating actual working condition.

[0102] Specifically, the thermal comfort of the human body comes from two dimensions of the bunk bed and the bunk cabin, and there is a certain correlation between the two dimensions. When the environment outside the bunk cabin is cold, the bunk cabin is affected or affected the most, and then the bunk bed. In addition, the evaluation dimensions of the personnel riding state are also different. In short, the traditional evaluation of feeling "cold" and "hot" is inaccurate and cannot guide the accurate control of the heating equipment. For example, if the personnel feels cold in the bunk bed, the heating device on the bunk bed should be started first or the engine waste heat should be introduced into the bunk bed. If the personnel feels cold in the bunk cabin, the air conditioner heating should be started first or the engine waste heat should be introduced into the bunk cabin. In this application, a bunk heating sample working condition is taken as a starting point to form a reference system of the thermal comfort of the vehicle bunk corresponding to the bunk heating sample working condition, and then the thermal comfort evaluation of the vehicle bunk corresponding to the actual bunk heating working condition is formed. Compared with the traditional "feeling" "cold" and "hot", the description can accurately implement the heating measures. Compared with only temperature readings, more environmental dimensions and user state dimensions are considered.

[0103] In this embodiment, the bunk heating sample working condition is set to include:

[0104] The temperature outside the bunk cabin is set to simulate a preset cold environment;

[0105] The bunk heating function is turned on until the temperature reaches a preset equilibrium state;

[0106] Wherein, based on the application simulation of the bunk and the bunk cabin, the states with and without people are respectively arranged and combined;

[0107] Wherein, the state with people includes the state that both the bunk and the bunk cabin have people, only the bunk has people, and only the bunk cabin has people;

[0108] According to the respectively arranged and combined states with and without people, the manikin is set to simulate the heat dissipation and heat exchange of the human body.

[0109] Specifically, the personnel itself is both a heat source and a heat demand side. The riding way of the personnel in the bunk cabin also affects the evaluation of thermal comfort. Based on this, the manikin is set to simulate the heat dissipation and heat exchange of the human body, and different application ways such as lying position, sitting position, one person, and multiple people are simulated in the bunk and the bunk cabin. Further, the personnel has different evaluation of thermal comfort due to the different temperature change efficiency of the cabin environment caused by the personnel.

[0110] In one specific embodiment, a kind of evaluation method is disclosed, comprising,

[0111] Working condition setting: set the environment temperature to-25 DEG C to simulate cold working condition, turn on the bunk heating equipment until the temperature reaches the equilibrium state, and test for two states with and without people. When testing in the state with people, the warm body manikin can be used to simulate the heat dissipation and heat exchange of the human body.

[0112] Data acquisition: 24 temperature test points are evenly distributed on the surface of the bunk, and temperature sensors are arranged for accurate measurement of the temperature of each point; at the same time, wind speed sensors, humidity sensors and solar radiation intensity sensors are installed to collect real-time data of wind speed, humidity and solar radiation intensity of the environment around the bunk; voltage test devices are installed at the positive and negative poles of the battery, and current sensors are installed at the negative pole of the power supply for measuring the voltage and current of the whole vehicle.

[0113] In this embodiment, the thermal comfort state index information is obtained according to the bunk state information and the environment information inside and outside the bunk cabin, including:

[0114] The collected temperature Ta, wind speed V, air water vapor partial pressure Pa and average radiation temperature Tr data are input into the PMV model to obtain the thermal comfort state index:

[0115] ;

[0116] T cl =35.7−0.028⋅(M−W)−I cl ⋅{3.96⋅10−8⋅f cl ⋅[(T cl +273) 4 −(T r +273) 4 ]+f cl ⋅h c ⋅(T cl −T a )};

[0117] h c =2.38⋅∣T cl −T a ∣ 0.25 for 2.38⋅∣T cl −T a ∣ 0.25 >12.1⋅ ;

[0118] 12.1⋅ for 2.38⋅∣T cl −T a ∣ 0.25 <12.1⋅ ;

[0119] f cl =1.00+1.290I cl for I cl ≤0.078m 2 ⋅K / W;

[0120] 1.05+0.645Icl for I cl >0.078m 2 ⋅K / W;

[0121] in:

[0122] M: Human metabolic rate;

[0123] W: Work done by the human body;

[0124] T a Air temperature;

[0125] P a Partial pressure of water vapor in the air;

[0126] T r Mean radiant temperature;

[0127] V: Air velocity;

[0128] I cl Thermal resistance of clothing.

[0129] Specifically, in one particular embodiment, it further includes:

[0130] Thermal comfort calculation: Using the PMV (Predicted Mean Vote) model, the collected temperature Ta (temperature data from 24 points, processed and used as input), wind speed V, water vapor partial pressure in the air Pa (converted from relative humidity), and mean radiant temperature Tr (converted from solar radiation intensity) are input into the model to calculate the thermal comfort index.

[0131] ;

[0132] T cl =35.7−0.028⋅(M−W)−I cl ⋅{3.96⋅10−8⋅f cl ⋅[(T cl +273) 4 −(T r +273) 4 ]+f cl ⋅h c ⋅(T cl -T a )};

[0133] h c =2.38⋅∣T cl -T a | 0.25 for 2.38⋅∣T cl -T a | 0.25 >12.1⋅ ;

[0134] 12.1⋅ for 2.38⋅∣T cl −T a ∣ 0.25 <12.1⋅ ;

[0135] f cl =1.00+1.290I cl for I cl ≤0.078m 2 ⋅K / W;

[0136] 1.05+0.645I cl for I cl >0.078m 2 ⋅K / W;

[0137] wherein:

[0138] M: Metabolic rate of the human body (W / m²), usually taken as 70 W / m² in sitting position;

[0139] W: Work done by the human body (usually 0);

[0140] T a : Air temperature (℃);

[0141] P a : Water vapor partial pressure in air (Pa);

[0142] T r : Mean radiant temperature (℃);

[0143] v: Air flow rate (m / s);

[0144] I cl : Clothing thermal resistance (m²·K / W), taken as 0.08 in summer and 0.155 in winter.

[0145] In the embodiment, the process information for achieving the thermal comfort state is obtained according to the vehicle state information, including:

[0146] The heating rate includes: ;

[0147] wherein, v represents the heating rate; ΔT represents the temperature change; Δt represents the time experienced by the heating;

[0148] The temperature equilibrium value includes: when all temperature test points reach the equilibrium state, the temperature equilibrium value of each temperature test point is calculated ;

[0149] Wherein, Ti represents the temperature equilibrium value of the i-th measuring point; T1, T2, Tn represent the temperature values at the 1st, 2nd, n-th second;

[0150] The temperature uniformity includes:

[0151] First, calculate the average value of the temperature data: ;

[0152] Wherein represents the average value of the temperature data; Ti is the equilibrium value of each temperature point data;

[0153] Then, calculate the average value of the square of the difference between each data and the average value, including, variance ;

[0154] Wherein, S2 represents the variance of 24 temperatures;

[0155] The power consumption includes: the power at each time point ;

[0156] Wherein P represents the power at a specific time point; U is the voltage value; I is the current value;

[0157] The power consumption in the time interval [t1, tn] ;

[0158] Wherein, E is the power consumption per unit time;

[0159] The maximum temperature value includes: Tmax;

[0160] Wherein, Tmax is the maximum temperature value in the time interval [t1, tn].

[0161] Specifically, in one specific embodiment, it further includes:

[0162] Evaluation index calculation: according to the collected data, calculate each evaluation index:

[0163] ① Heating rate: . Wherein, v represents the heating rate, the unit is usually ℃ / min (℃ per minute; ΔT represents the change of temperature, the unit is ℃ (℃); Δt represents the time experienced by heating, the unit is min (minute).

[0164] ② Temperature equilibrium value: when each temperature test point reaches the equilibrium state (within 4 consecutive min, the change value of temperature ≤1℃), calculate the temperature equilibrium value of each temperature measuring point . Wherein, Ti represents the temperature equilibrium value of the i-th measuring point, the unit is ℃ (℃); T1, T2, Tn represent the temperature values at the 1st, 2nd, n-th second, the unit is ℃ (℃).

[0165] ③Temperature uniformity (use variance analysis of 24 point temperature data to calculate the degree of dispersion): first calculate the average value of temperature data: . Wherein represents the average value of temperature data, unit: ℃ (Celsius); Ti is the equilibrium value of each temperature point data, unit: ℃ (Celsius). Then calculate the average value of the square of the difference between each data and the average value, that is, the variance . Wherein, S2 represents the variance of 24 temperatures.

[0166] ④Power consumption: power at each time point . Wherein P represents the power at a specific time point, unit: W (watt), U is the voltage value, unit: V (volt), I is the current value, unit: A (ampere). The power consumption in the time interval [t1, tn] . Wherein E is the power consumption per unit time, unit: J (joule).

[0167] ⑤Temperature maximum value: Tmax, wherein Tmax is the maximum temperature value in the time interval [t1, tn], unit: ℃ (Celsius).

[0168] Figure 2 is a structure diagram of a vehicle sleeper thermal comfort evaluation device provided by one or more embodiments of the present application.

[0169] As Figure 2 shown, the vehicle sleeper thermal comfort evaluation device comprises a data acquisition module, a data processing module, a calculation and analysis module, and a result storage and output module.

[0170] The data acquisition module comprises a temperature acquisition module and an analog module.

[0171] The temperature acquisition module is used to acquire sleeper state information and sleeper cabin environmental information.

[0172] The sleeper state information comprises information of temperature state and temperature rising state of berths and various places in the cabin.

[0173] The analog module is used to acquire sleeper cabin external environmental information.

[0174] The sleeper cabin external environmental information comprises information of wind speed, humidity, and solar radiation intensity affecting the sleeper cabin internal environment.

[0175] The data acquisition module sends the standardized information data to the data processing module.

[0176] The data processing module is used to pre-process the received data.

[0177] The pre-processing comprises operations of removing outliers and filtering.

[0178] The pre-processed data is converted and integrated according to the PMV model and evaluation index calculation requirements, and transmitted to the calculation analysis module;

[0179] The calculation analysis module is used for receiving the pre-processed data, calculating the thermal comfort index and the heating rate, and evaluating the temperature uniformity index;

[0180] The calculation results are transmitted to the result storage and output module;

[0181] The calculation analysis module is built-in PMV model algorithm and evaluation index calculation program;

[0182] The result storage and output module is used for storing and calculating the received thermal comfort index and evaluation index data;

[0183] The result storage and output module is connected to the display screen, and outputs the data for human-computer interaction and waits for the human-computer interaction instructions.

[0184] Specifically, in one specific embodiment, it also includes an evaluation device:

[0185] The data acquisition module is composed of 24 channel temperature acquisition modules, 3 channel analog modules (for collecting wind speed, humidity, and solar radiation intensity), and is responsible for accurately collecting various physical data and transmitting the data to the data processing module.

[0186] The data processing module: pre-processes the collected data, including removing outliers, filtering, etc., to ensure data accuracy. The pre-processed data is converted and integrated according to the PMV model and evaluation index calculation requirements, and transmitted to the calculation analysis module.

[0187] The calculation analysis module: built-in PMV model algorithm and evaluation index calculation program, receiving processed data, calculating thermal comfort index and heating rate, temperature uniformity and other evaluation indexes, and transmitting calculation results to the result storage and output module.

[0188] The result storage and output module: stores the calculated thermal comfort index and evaluation index data, which can be output through display screen, data interface, etc., for user to view and subsequent analysis.

[0189] It also includes an evaluation device:

[0190] The hardware part includes various sensors, data acquisition terminals, data processing units and display devices installed in the sleeper area of commercial vehicles. The sensors are connected to the data acquisition terminals, and the data acquisition terminals transmit the data to the data processing unit through wired or wireless mode, and the display device is used to present the final evaluation results.

[0191] Software part: It covers data acquisition driving software, data processing algorithm software, PMV model calculation software and result display software. The data acquisition driving software controls the sensor to work and collect data; the data processing algorithm software pre-processes and converts the data format; the PMV model calculation software runs the model to obtain the thermal comfort index; and the result display software displays the evaluation results in an intuitive form.

[0192] The storage medium is a computer readable storage medium, such as a hard disk, a flash memory, etc. The storage medium stores a computer program, which, when executed by the processor, implements the steps of the above evaluation method, including working condition setting, data acquisition, data processing, thermal comfort calculation, evaluation index calculation, and result storage and output, etc.

[0193] In this embodiment, it also includes a dummy module;

[0194] The dummy module is used to simulate human body heat dissipation and heat exchange;

[0195] Based on the state of having people, the sleeper and / or sleeper cabin is provided with a dummy module;

[0196] According to the state of having people or not, the data acquisition module acquires the sleeper cabin internal and external environment information and sleeper state information.

[0197] In this embodiment, the dummy module includes a thermal sensitivity parameter item;

[0198] According to the preset simulated human body type, the thermal sensitivity parameter item parameter is adjusted;

[0199] According to the adjustment of the thermal sensitivity parameter item parameter, the heat dissipation and heat exchange state of the simulated human body is controlled;

[0200] According to the control of the heat dissipation and heat exchange state of the simulated human body, the data acquisition module acquires the sleeper cabin internal and external environment information and sleeper state information.

[0201] Specifically, according to the individual characteristics of the personnel (such as men, women, old people, children, various special physical conditions and disease states, etc.), the thermal sensitivity parameter item is set (such as low temperature tolerance threshold, low temperature tolerance body part, accepted heating mode, etc.), and the parameter is adjusted based on the standard sample model, so that the application of the heating device is more targeted and accurate. For example, the standard model is an adult male, and on this basis, the heating process strategy for women is more aggressive, and the upper limit of the temperature threshold is more cautious. For example, the standard model is a healthy person, and for the special needs of patients, the heating strategy is adjusted in a targeted manner, such as a patient in a lying position, in addition to improving the heating efficiency, priority is given to ensuring the temperature constancy, reducing the temperature fluctuation, including forcedly giving up the energy-saving strategy of the vehicle, etc., and necessary intermittent window ventilation, taking into account the oxygen carrying capacity in the cabin, etc.

[0202] It is worth noting that although the system / device only discloses the data acquisition module, the data processing module, the calculation analysis module and the result storage and output module, the dummy module, etc., it does not mean that the device is limited to the above basic functional modules. On the contrary, the meaning expressed by the present application is that on the basis of the above basic functional modules, those skilled in the art can add one or more functional modules to form infinite embodiments or technical solutions in combination with the prior art. That is to say, the system / device is open rather than closed, and it cannot be considered that the protection scope of the present application is limited to the above disclosed basic functional modules just because the present embodiment discloses only individual basic functional modules.

[0203] In another specific embodiment, a test procedure as shown in Figure 3 is disclosed, comprising:

[0204] 1. Evaluation method implementation steps:

[0205] 1.1 Preparation stage: Select a commercial vehicle with a bunk as the test object, and park the vehicle in a test cabin that can accurately control the environmental temperature. Use professional environmental control equipment to set the environmental temperature in the test cabin to be stable at -25°C. A warm body dummy that meets the human body size and thermal characteristic standards can be prepared to simulate human body heat exchange in the presence of a person.

[0206] 1.2 Sensor installation and debugging: According to the principle of uniform distribution, install temperature sensors with an accuracy of ±1°C at 24 predetermined test points on the surface of the bunk, ensuring that the sensors are in close contact with the surface of the bunk to accurately measure the temperature at each point. Install air speed sensors around the bunk near the head, feet and middle of the body to measure the air speed at different positions. At the same time, install humidity sensors and solar radiation intensity sensors at appropriate positions above the bunk to ensure that the sensors can accurately collect humidity and solar radiation intensity data of the environment around the bunk (if the test cabin simulates solar radiation conditions, the data can be normally collected; if in an environment without simulated solar radiation, the data is recorded as 0). After completing the sensor installation, debug all sensors through the connected data acquisition terminal to ensure stable and accurate data transmission.

[0207] 1.3 Unoccupied state test: Start the bunk heating device and begin recording the time. During the heating process, the data acquisition terminal collects temperature, wind speed, humidity, and solar radiation intensity data from 24 test points in real time at a frequency of 1 per second. When the temperature of each point on the bunk surface fluctuates by no more than ±1°C within 4 consecutive minutes, it is determined that the temperature balance state has been reached. At this time, stop data collection and transfer the collected data to the computer. On the computer, use the specially written data processing software to process the temperature data and calculate the heating rate (e.g., the temperature increase of a certain point divided by the time used from the start of the heating device to the temperature balance), temperature uniformity (measured by calculating the standard deviation of the 24-point temperature data, the smaller the standard deviation, the better the temperature uniformity), power consumption (calculated using the power formula by monitoring the input voltage and current of the heating device), temperature balance value (the average of the 24-point temperature), and the highest temperature value. At the same time, input the collected wind speed, humidity, solar radiation intensity data and the calculated temperature-related evaluation indicators into the PMV model calculation software to calculate the thermal comfort index under unoccupied state.

[0208] 1.4 Occupied state test: The test personnel lie on the bunk (or place a warm body mannequin on the bunk and adjust the mannequin's posture to match the normal resting posture of the human body). Restart the bunk heating device and repeat the above data collection process until the temperature balance state is reached. Use the same data processing and calculation method as the unoccupied state test to obtain the evaluation indicators and thermal comfort indicators under the occupied state.

[0209] 2. Evaluation device implementation:

[0210] 2.1 Data acquisition module construction: Select temperature sensors with an accuracy of ±0.1°C to ensure accurate measurement of bunk surface temperature changes. The wind speed sensor is selected to have a measurement range of 0-10 m / s and an accuracy of ±0.05 m / s to meet the measurement requirements of the low wind speed environment around the bunk. The humidity sensor has a measurement accuracy of ±2% RH, and the solar radiation intensity sensor has a model that can accurately measure radiation intensity in the range of 0-1200 W / m² with an accuracy of ±5 W / m². Connect the 24 temperature sensors, wind speed sensor, humidity sensor, and solar radiation intensity sensor to the data acquisition terminal through shielded cables to ensure that data transmission is not disturbed.

[0211] 2.2 Data processing module development: Develop data processing software using Python programming language. In the software, write data cleaning programs to remove outliers by setting reasonable ranges for temperature, wind speed, humidity, and solar radiation intensity. Use digital filtering algorithms such as mean filtering to filter the collected data and eliminate noise interference.

[0212] 2.3 Calculation analysis module building: Write PMV model algorithm program and evaluation index calculation program on the computer. Import the data output by the data processing module into the calculation program, run the corresponding program, calculate the thermal comfort index and each evaluation index. Write program to calculate heating rate (such as from turning on heating equipment to reaching temperature balance, the temperature rise value of a certain point divided by the time used), temperature uniformity (measured by calculating the standard deviation of 24 point temperature data, the smaller the standard deviation, the better the temperature uniformity), power consumption (calculated by monitoring the input voltage and current of the heating equipment, using the power formula), temperature balance value (average value of 24 point temperature), and maximum temperature value.

[0213] 2.4 Result storage and output module implementation: Use database to store the thermal comfort index and each evaluation index data calculated, which is convenient for data management and query. Develop result display software based on graphical user interface, which can intuitively display thermal comfort index, heating rate, temperature uniformity, power consumption, temperature balance value, maximum temperature value and other data under unoccupied and occupied states through table and chart combination on the display screen. Users can also export data through data interface for further analysis or report writing.

[0214] 3. Evaluation equipment implementation points:

[0215] 3.1 Hardware equipment assembly: Integrate all kinds of installed sensors, data acquisition terminals, data processing units and display devices in a device frame that is easy to install and disassemble. The sensors are connected to the data acquisition terminal through cable, and the data acquisition terminal communicates with the data processing unit through wireless Wi-Fi module or wired Ethernet cable. The display device uses a 7-inch liquid crystal display screen, which is connected to the data processing unit through HDMI interface to ensure clear display of evaluation results.

[0216] 3.2 Software system integration: Integrate data acquisition driver software, data processing algorithm software, PMV model calculation software and result display software to develop a unified device control and data processing application program. In the application program, set up user operation interface, users can start and stop data collection, select test state (occupied or unoccupied), view real-time data and final evaluation results through the interface.

[0217] 4 Storage medium implementation description:

[0218] A solid state disk (SSD) with a capacity of 512 GB is selected as a storage medium, and the developed computer program is burned into the solid state disk. When the sleeper thermal comfort of the commercial vehicle is evaluated, the processor of the data processing unit reads the program in the solid state disk, and executes each step of the evaluation method according to the program instructions, so as to realize the comprehensive and accurate evaluation of the sleeper thermal comfort of the commercial vehicle. At the same time, the high-speed reading and writing characteristics of the solid state disk can ensure the rapid storage and reading of data, and improve the evaluation efficiency.

[0219] Figure 4 is a kind of electronic equipment structure block diagram of vehicle sleeper thermal comfort evaluation method provided by one or more embodiments of the present application.

[0220] As shown in Figure 4 The present application provides an electronic device, comprising: a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus;

[0221] The memory stores a computer program, which, when executed by the processor, causes the processor to execute the steps of the vehicle sleeper thermal comfort evaluation method.

[0222] The present application also provides a computer-readable storage medium storing a computer program executable by an electronic device, which, when executed on the electronic device, causes the electronic device to execute the steps of the vehicle sleeper thermal comfort evaluation method.

[0223] The present application also provides a vehicle cabin, comprising:

[0224] An electronic device for implementing the steps of the vehicle sleeper thermal comfort evaluation method;

[0225] A processor that runs a program, which, when the program is running, executes the steps of the vehicle sleeper thermal comfort evaluation method from the data output by the electronic device;

[0226] A storage medium for storing a program, which, when running, executes the steps of the vehicle sleeper thermal comfort evaluation method for data output from the electronic device.

[0227] The communication bus mentioned above can be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus, etc. The communication bus can be divided into address bus, data bus, control bus, etc. For ease of representation, only one thick line is shown in the figure, but it does not mean that there is only one bus or one type of bus.

[0228] The electronic device includes a hardware layer, an operating system layer running above the hardware layer, and an application layer running on the operating system. The hardware layer includes hardware such as a central processing unit (CPU), a memory management unit (MMU), and a memory. The operating system can be any one or more computer operating systems that implement control of the electronic device through a process, such as a Linux operating system, a Unix operating system, an Android operating system, an iOS operating system, or a windows operating system. In embodiments of the present application, the electronic device can be a handheld device such as a smartphone or a tablet computer, or an electronic device such as a desktop computer or a portable computer, and is not particularly limited in embodiments of the present application.

[0229] The execution subject of the electronic device control in embodiments of the present application can be an electronic device or a functional module in the electronic device that can call and execute a program. The electronic device can obtain firmware corresponding to a storage medium, which is provided by a vendor, and the firmware corresponding to different storage media can be the same or different, which is not limited herein. After the electronic device obtains the firmware corresponding to the storage medium, the electronic device can write the firmware corresponding to the storage medium into the storage medium, specifically, burn the firmware corresponding to the storage medium into the storage medium. The process of burning the firmware into the storage medium can be implemented by using existing technology, which is not described in embodiments of the present application.

[0230] The electronic device can also obtain a reset command corresponding to the storage medium, which is provided by a vendor, and the reset command corresponding to different storage media can be the same or different, which is not limited herein.

[0231] At this time, the storage medium of the electronic device is a storage medium into which the corresponding firmware is written, and the electronic device can respond to the reset command corresponding to the storage medium in the storage medium into which the corresponding firmware is written, so that the electronic device resets the storage medium into which the corresponding firmware is written according to the reset command corresponding to the storage medium. The process of resetting the storage medium according to the reset command can be implemented by using existing technology, which is not described in embodiments of the present application.

[0232] For the convenience of description, the above device is described as various units and modules in terms of functions. Of course, the functions of the units and modules can be implemented in one or more software and / or hardware in the implementation of the present application.

[0233] Those of skill in the art will understand that the herein-enunciated terms, unless otherwise defined, have the same meaning as commonly understood by one of ordinary skill in the art in the field of the application. It will also be understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the specification and relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined.

[0234] For the method embodiments, for the sake of simplicity, the methods will be described as a series of acts but those of skill in the art will recognize that the methods are not limited to the order of the acts presented unless explicitly stated otherwise. Further, those of skill in the art will recognize that the methods described in the specification are not limited to the steps presented in the specification unless explicitly stated otherwise.

[0235] From the above description of the embodiments, those skilled in the art can clearly understand that the present application can be implemented by means of software plus necessary universal hardware platforms. Based on such an understanding, the technical solutions of the present application can be embodied in the form of a software product. The computer software product can be stored in a storage medium, such as a ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in the various embodiments or some parts of the methods.

[0236] Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, but not limit the present application; even though the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still make modifications to the technical solutions recorded in the foregoing embodiments, or make equivalent replacements to some or all of the technical features; and these modifications or replacements do not cause the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for evaluating the thermal comfort of a vehicle sleeper berth, characterized in that, The method for evaluating the thermal comfort of the vehicle sleeper berth includes: Set up the working conditions for heating the sleeper berth sample; Based on the working conditions of the sleeper berth heating sample, vehicle status information was collected; Vehicle status information includes sleeper berth status information, sleeper compartment interior and exterior environmental information, and vehicle operating status information; Based on the sleeper berth status information and the environmental information inside and outside the sleeper cabin, thermal comfort status index information is obtained; Based on vehicle status information, obtain information about the process of achieving thermal comfort. Based on thermal comfort state index information and process information for achieving thermal comfort state, evaluate the thermal comfort of the sleeper berth under the corresponding sleeper heating sample working conditions. Using the thermal comfort of the sleeper berth under the corresponding sleeper heating sample working conditions as a reference, the thermal comfort of the sleeper berth under the corresponding sleeper heating actual working conditions is evaluated. The evaluation process involves assessing the thermal comfort of the sleeper berths under actual heating conditions, adjusting thermal comfort indicators, and achieving a thermal comfort state.

2. The method for evaluating the thermal comfort of vehicle sleeper berths according to claim 1, characterized in that, The specified working conditions for the heated sleeper berth sample include: Set the ambient temperature outside the sleeper cabin to simulate a preset cold environment; Turn on the sleeper berth heating function until the temperature reaches the preset equilibrium state; Among them, the application simulation based on sleeper berths and sleeper cabins arranges and combines manned and unmanned states respectively; Among them, the states where people are present include states where both the sleeper berth and the sleeper compartment are occupied, states where only the sleeper berth is occupied, and states where only the sleeper compartment is occupied. Based on the different combinations of occupant and unoccupied states, dummies are set up to simulate human heat dissipation and heat exchange.

3. The method for evaluating the thermal comfort of vehicle sleeper berths according to claim 1, characterized in that, The process of obtaining thermal comfort index information based on sleeper berth status information and sleeper cabin interior and exterior environmental information includes: The collected temperature Ta, wind speed V, water vapor partial pressure in the air Pa, and mean radiant temperature Tr are input into the PMV model to obtain thermal comfort state indices: ； T cl =35.7−0.028⋅(M−W)−I cl ⋅{3.96⋅10−8⋅f cl ⋅[(T cl +273) 4 −(T r +273) 4 ]+f cl ⋅h c ⋅(T cl −T a )}; h c =2.38⋅∣T cl −T a ∣ 0.25 for 2.38⋅∣T cl −T a ∣ 0.25 >12.1⋅ ; 12.1⋅ for 2.38⋅∣T cl −T a ∣ 0.25 <12.1⋅ ; f cl =1.00+1.290I cl for I cl ≤0.078m 2 ⋅K / W; 1.05+0.645I cl for I cl >0.078m 2 ⋅K / W; in: M: Human metabolic rate; W: Work done by the human body; T a Air temperature; P a Partial pressure of water vapor in the air; T r Mean radiant temperature; V: Air velocity; I cl Thermal resistance of clothing.

4. The method for evaluating the thermal comfort of vehicle sleeper berths according to claim 1, characterized in that, The process information for achieving a thermal comfort state based on vehicle status information includes: Heating rates include: ; Where v represents the heating rate; ΔT represents the change in temperature; and Δt represents the time taken for heating. The temperature equilibrium value includes: calculating the temperature equilibrium value for each temperature measurement point when all temperature measurement points reach an equilibrium state. ; Where Ti represents the temperature equilibrium value at the i-th measuring point; T1, T2, and Tn represent the temperature values ​​at the 1st, 2nd, and nth seconds, respectively. Temperature uniformity includes: First, calculate the average value of the temperature data: ; in Ti represents the average value of the temperature data; Ti is the data balance value for each temperature point. Then calculate the average of the squares of the differences between each data point and the mean, including the variance. ; Where S2 represents the variance of 24 temperatures; Power consumption includes: power at each point in time. ; Where P represents the power at a specific point in time; U is the voltage value; and I is the current value. Power consumed within the time interval [t1, tn] ; Where E is the power consumption per unit time; The highest temperature values ​​include: Tmax; Where Tmax is the maximum temperature within the time interval [t1, tn].

5. A device for evaluating the thermal comfort of a vehicle sleeper berth, characterized in that, The vehicle sleeper thermal comfort evaluation device includes: a data acquisition module, a data processing module, a calculation and analysis module, and a result storage and output module; The data acquisition module includes a temperature acquisition module and an analog quantity module; The temperature acquisition module is used to collect information on the sleeper berth status and the environment inside the sleeper cabin. The sleeper status information includes the temperature status and warming status of the berth and various parts of the cabin. The analog module is used to collect information about the external environment of the sleeper cabin; Information on the external environment of the sleeper cabin includes information on wind speed, humidity, and solar radiation intensity that affect the environment inside the sleeper cabin; The data acquisition module standardizes the information data and sends it to the data processing module; The data processing module is used to preprocess the received data; Preprocessing includes outlier removal and filtering. The preprocessed data is converted and integrated according to the PMV model and evaluation index calculation requirements, and then transmitted to the calculation and analysis module. The calculation and analysis module is used to receive preprocessed data and calculate thermal comfort indicators, as well as evaluation indicators for heating rate and temperature uniformity. The calculation results are transmitted to the result storage and output module; The calculation and analysis module includes a built-in PMV model algorithm and an evaluation index calculation program. The results storage and output module is used to store and calculate the received thermal comfort index and various evaluation index data; The results storage and output module is connected to the display screen, outputs data for human-computer interaction, and waits to receive human-computer interaction instructions.

6. The vehicle sleeper thermal comfort evaluation device according to claim 5, characterized in that, Also includes: Dummy module; The dummy module is used to simulate human heat dissipation and heat exchange; Based on the presence of human passengers, dummy modules are installed in sleeper berths and / or sleeper compartments; Depending on whether the berth is occupied or unoccupied, the data acquisition module collects information on the environment inside and outside the sleeper compartment and the status of the sleeper berth.

7. The vehicle sleeper thermal comfort evaluation device according to claim 6, characterized in that, The dummy module includes: thermal sensitivity parameters; Adjust the thermal sensitivity parameters according to the preset simulated human body type; By adjusting the thermal sensitivity parameters, the heat dissipation and heat exchange state of the simulated human body can be controlled. Based on the simulated human body heat dissipation and heat exchange state, the data acquisition module collects environmental information inside and outside the sleeper cabin and sleeper status information.

8. An electronic device, characterized in that, include: The processor, communication interface, memory, and communication bus are connected, with the processor, communication interface, and memory communicating with each other via the communication bus. The memory stores a computer program that, when executed by a processor, causes the processor to perform the steps of the vehicle sleeper thermal comfort evaluation method as described in any one of claims 1 to 4.

9. A computer-readable storage medium, characterized in that, The device stores a computer program executable by an electronic device, which, when run on the electronic device, causes the electronic device to perform the steps of the vehicle sleeper thermal comfort evaluation method as described in any one of claims 1 to 4.

10. A vehicle cabin, characterized in that, include: An electronic device for implementing the steps of the vehicle sleeper thermal comfort evaluation method as described in any one of claims 1 to 4; The processor runs a program that, when running, performs the steps of the vehicle sleeper thermal comfort evaluation method as described in any one of claims 1 to 4 from data output by the electronic device. A storage medium for storing a program that, when running, performs the steps of the vehicle sleeper thermal comfort evaluation method as described in any one of claims 1 to 4 on data output from an electronic device.

Images