A monitoring system and method for the in-cabin environmental health index of a flying car

Abstract

The present invention relates to a monitoring system and method for the in-cabin environmental health index of a flying car. Inside the experimental cabin, there is a support base platform for the flying car. The support base platform for the flying car drives the experimental flying car to perform simulated movements through the flying car motion device, and obtains the corresponding vehicle states through the second sensor group. The external climate state simulation unit is arranged inside the experimental cabin and is used to simulate various external climate environment states encountered by the experimental flying car, and obtains the corresponding external climate environment states through the first sensor group. The environmental testing unit includes a plurality of detection points arranged at set positions inside the experimental flying car, and each detection point obtains the environmental parameters inside the vehicle through the third sensor group. By comprehensively considering the effects of various external climate states, different vehicle internal states, and vehicle motion states on the in-cabin environment of the flying car, the comprehensiveness and accuracy of the in-cabin environment testing of the flying car are enhanced.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental monitoring, and particularly to a monitoring system and method for the in-cabin environmental health index of a flying car. Background Technique

[0002] The statements in this part only provide background technical information related to the present invention and do not necessarily constitute prior art.

[0003] A flying car is a forward-looking means of transportation that can not only travel on the ground but also fly in the air, providing a brand-new solution for urban transportation. The in-vehicle environment detection system is an important part of the safe operation of a flying car. It involves the real-time monitoring of multiple parameters such as the air quality, temperature, humidity, pressure, and noise inside the vehicle. These parameters directly affect the health and safety of passengers and are also related to the performance and lifespan of the flying car.

[0004] In the field of flying car technology, the research on in-vehicle environment monitoring is still in its infancy, especially the correlative research on the spatial distribution and dynamic change characteristics of in-vehicle environment parameters is lacking. Since a flying car can operate in two environments, namely on the ground and in the air, it is difficult to master the specific values and change laws of the environmental indicators in different areas inside the flying car under different operating conditions and complex weather conditions. Summary of the Invention

[0005] To solve the technical problems existing in the above background technique, the present invention provides a monitoring system and method for the in-cabin environmental health index of a flying car, designs a test platform for the in-cabin environmental health indicators of a flying car under multi-scenario working conditions, designs multiple position points inside the flying car, and detects various index parameters such as the risk of allergens VAR inside the vehicle, volatile organic compounds VOC inside the vehicle, odor intensity VOI inside the vehicle, vehicle electromagnetic radiation EMR, particulate matter PM inside the vehicle, particulate matter barrier Z inside the vehicle, and particulate matter purification ability E inside the vehicle, so as to test the spatial distribution and change characteristics of the in-cabin environmental health indicators and provide necessary support for studying the internal environment of a flying car under various external climate states and vehicle states.

[0006] To achieve the above object, the present invention adopts the following technical solutions:

[0007] The first aspect of the present invention provides a monitoring system for the in-cabin environmental health index of a flying car, including:

[0008] An experimental cabin, which is internally provided with a support base platform for a flying car. The support base platform for the flying car drives the experimental flying car to perform simulated movements through a flying car motion device and obtains the corresponding vehicle states through a second sensor group;

[0009] An external climate state simulation unit, arranged inside the experimental cabin, is used to simulate various external climate environment states encountered by the experimental flying car, and obtain the corresponding external climate environment states through the first sensor group;

[0010] An environment testing unit includes multiple detection points arranged at set positions inside the experimental flying car. Each detection point obtains the environmental parameters inside the vehicle through the third sensor group;

[0011] Among them, the experimental cabin includes an inner cabin and an outer cabin arranged in a nested manner. The inner cabin surrounds the outside of the experimental flying car, the outer cabin surrounds the outside of the inner cabin, the wall surface of the outer cabin is sealed, and one side of the inner cabin is provided with an air flow generating device, and the opposite side is an opening; different flow rates of air are generated by the air flow generating device and blown towards the experimental flying car to simulate the air flow states at different vehicle speeds / flight speeds of the experimental flying car.

[0012] Furthermore, the regional model support base is connected to the bottom surface of the outer cabin and is located in the area between the air flow generating device and the experimental flying car. By driving the urban model and the mountain model to move up and down, the flow field change in front of the experimental flying car is changed to simulate the air flow changes when the flying car flies over the urban area and the mountain area.

[0013] Furthermore, a flying car support base platform is arranged at the center of the bottom of the outer cabin. The top of the flying car support base platform is connected to the experimental flying car through a flying car motion device; the flying car motion device is used to simulate the starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking postures of the flying car through unilateral lifting and rotating motions.

[0014] Furthermore, the first sensor group is located inside the experimental cabin and includes a humidity sensor, a temperature sensor, a wind speed sensor, a pressure sensor, a decibel sensor, and an air quality sensor.

[0015] Furthermore, each detection point is provided with a third sensor group, and the third sensor group includes at least a total vehicle-mounted volatile organic compound concentration sensor, a power frequency electromagnetic radiation analyzer, a vehicle-mounted PM2.5 monitor, and an electronic nose.

[0016] Furthermore, the detection points include a first point located at the headrest of each seat inside the experimental flying car, a second point located at the backrest of each seat, a third point located in the leg space of each seat, a fourth point located at the air outlet of the vehicle air conditioner, and a fifth point located in the central console area between the front seats.

[0017] Furthermore, the external climate state simulation unit includes a rainfall simulator arranged on the inner wall of the experimental cabin, a snowfall simulator arranged on the top of the experimental cabin, and a haze generator and a dust generator arranged on the top of the experimental cabin. The haze generator and the dust generator are connected to corresponding snow / haze / dust conveying pipes. The snow / haze / dust conveying pipes are arranged on the top of the experimental cabin to convey snow / haze / dust of different intensities to the experimental cabin; an air pressure regulator, an industrial humidity regulator, an industrial temperature regulator and a decibel regulator are arranged at the bottom of the inner side of the experimental cabin, and an illuminance solar simulator arranged in a circumferential direction is arranged on the inner wall of the experimental cabin; a recovery device for recovering rain, snow / haze / dust is provided at the bottom of the experimental cabin; and a detection camera is provided in the experimental cabin.

[0018] Furthermore, the environmental testing unit also includes a controller, which uses the various external climate conditions fed back by the No. 1 sensor group, the vehicle operating conditions of the flying car fed back by the No. 2 sensor group, and the values of the flying car's in-car environmental health indicators fed back by the No. 3 sensor group as inputs to the neural network to obtain the spatial distribution and change characteristics of the environmental health indicators in the car under multiple scenario conditions.

[0019] Furthermore, the controller processes the environmental parameters fed back by the No. 3 sensor group to obtain the value of the flying car's in-vehicle environmental health index, and calculates the overall environmental health index inside the experimental vehicle, specifically:

[0020]

[0021] Where N represents the number of sensor sites, w n represents the weight of the environmental health index of site n, H n Represents the environmental health index of site n.

[0022] A second aspect of the present invention provides a method for monitoring the environmental health index in a flying car cabin, comprising the following steps:

[0023] The simulation experiment uses the internal state of the flying car to simulate different vehicle loads, window opening and closing states, engine speeds, noise levels inside the car, vehicle lighting conditions, use of electronic equipment inside the car, use of the air conditioning system, and vehicle driving modes;

[0024] The flying car motion device is used to drive the experimental flying car to move, simulating the flying car's vertical take-off / vertical landing / level flight / hovering / turning / circling / diving / jumping in the air and the starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking on land and transition driving states, realizing the simulation of various vehicle state conditions;

[0025] Use an external climate state simulation unit to simulate various external climate environment states encountered by the experimental flying car, and obtain the corresponding external climate environment states;

[0026] Use an environmental test unit to obtain the environmental parameters inside the vehicle;

[0027] Based on the obtained various external climate environment states, the vehicle state of the flying car, and the numerical values of the in-vehicle environmental health indicators calculated from the environmental parameters inside the vehicle, they are jointly used as the input of the neural network to obtain the spatial distribution and variation characteristics of the in-vehicle environmental health indicators under multi-scenario working conditions.

[0028] Compared with the prior art, the above one or more technical solutions have the following beneficial effects:

[0029] 1. Comprehensively consider the impacts of various external climate states, different internal vehicle states, and vehicle motion states on the in-vehicle environment of the flying car, enhancing the comprehensiveness and accuracy of the in-vehicle environment test of the flying car.

[0030] 2. Consider the impact of gas flow field changes on environmental parameter monitoring during the movement of the flying car. Use an air flow generating device to blow airflows with different wind speeds at the experimental vehicle to simulate different vehicle speeds / flying speeds, and consider the flow field changes in front of the vehicle when the flying car flies over urban areas and mountainous areas during the simulation; as well as the gas flow field changes when the vehicle is in attitudes such as turning / climbing / spiraling.

[0031] 3. Detect multiple index parameters such as the risk VAR of sensitizers inside the vehicle, volatile organic compounds VOC inside the vehicle, odor intensity VOI inside the vehicle, vehicle electromagnetic radiation EMR, particulate matter PM inside the vehicle, particulate matter barrier Z inside the vehicle, and particulate matter purification ability E inside the vehicle at multiple designed positions inside the vehicle, so as to test the spatial distribution and variation characteristics of the in-vehicle environmental health indicators, providing necessary support for studying the in-vehicle environmental health of the flying car under various external climate states and vehicle states. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The schematic diagrams of the drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0033] Figure 1 Schematic diagram of the architecture of the in-vehicle environmental health index monitoring system for a flying car provided by one or more embodiments of the present invention;

[0034] Figure 2 Schematic diagram of a multi-weather simulation system simulating different weathers provided by one or more embodiments of the present invention;

[0035] Figure 3Schematic diagram of the urban building model in the experimental cabin provided for one or more examples of the present invention;

[0036] Figure 4 Schematic diagram of the flying car motion device in the experimental cabin provided for one or more examples of the present invention;

[0037] Figure 5 Schematic diagram of the movable robotic arm of the flying car simulation flight device in the experimental cabin provided for one or more examples of the present invention;

[0038] Figure 6 Three-dimensional distribution map of the vehicle environmental health level under a certain working condition provided for one or more embodiments of the present invention.

[0039] In the figure: 1 experimental cabin; 2 experimental flying car; 3 flying car support base platform; 4 flying car motion device; 5 regional model support base; 6 urban model; 7 mountain model; 8 industrial humidity regulator; 9 industrial temperature regulator; 10 decibel regulator; 11 air pressure regulator; 12 recovery device; 13 rainfall simulator; 14 illuminance sunlight simulator; 15 snow / haze / dust transportation pipeline; 16 snowfall simulator; 17 haze generator; 18 dust generator; 19 experimental cabin outer wall; 20 air flow generating device; 21 detection camera; 22 humidity sensor; 23 temperature sensor; 24 wind speed sensor; 25 pressure sensor; 26 decibel sensor; 27 air quality sensor; 42 robotic arm propeller; 43 guide rail. Detailed implementation manners

[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] It should be noted that the following detailed description is exemplary and is intended to provide further illustration of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0042] The following embodiments provide a monitoring system and method for the environmental health index in the flying car cabin, design a test platform for the environmental health indicators in the flying car under multi-scenario working conditions, design multiple position points in the flying car, and detect various index parameters such as the risk of sensitizers VAR in the vehicle, volatile organic compounds VOC in the vehicle, odor intensity VOI in the vehicle, vehicle electromagnetic radiation EMR, particulate matter PM in the vehicle, particulate matter barrier Z in the vehicle, and particulate matter purification ability E in the vehicle, so as to test the spatial distribution and change characteristics of the environmental health indicators in the vehicle, and provide necessary support for studying the internal environment of the flying car under various external climate states and vehicle states.

[0043] Embodiment 1:

[0044] AsFigure 1 As shown in Figure 1 , the monitoring system includes an experimental cabin 1. At the center of the bottom of the internal space of the experimental cabin 1, there is a flying car support base platform 3, which is connected to a flying car motion device 4, and the flying car motion device 4 is fixed with an experimental flying car 2.

[0045] An external climate state simulation unit is arranged in the experimental cabin 1, and the external climate state simulation unit simulates various external climate environment states encountered by the experimental flying car 2 in the experimental cabin 1.

[0046] A second sensor group is arranged in the flying car motion device 4 and the experimental flying car 2 for obtaining the real-time vehicle state of the flying car, such as a vehicle speed sensor, an inclination sensor, a slope sensor, etc.

[0047] An environment testing unit is arranged inside the experimental flying car 2. The environment testing unit includes multiple detection points, and the detection points include a first point arranged at the headrest of each seat in the vehicle, a second point arranged at the backrest of each seat in the vehicle, a third point arranged in the leg space of each seat, a fourth point arranged at the air outlet of the vehicle air conditioner, and a fifth point arranged in the central console area between the front seats.

[0048] A third sensor group is arranged at the first point, the second point, the third point, the fourth point and the fifth point. The third sensor group is used for detecting the environmental health indicators inside the flying car, and realizing the test of the spatial distribution and change characteristics of the environmental health indicators inside the flying car under multiple scenario working conditions. The third sensor group at least includes a total concentration sensor of vehicle-borne volatile organic compounds, a power frequency electromagnetic radiation analyzer, a vehicle-borne PM2.5 monitor and an electronic nose.

[0049] In this embodiment, the first point includes position one, position two, position three and position four; the second point includes position five, position six, position seven and position eight; the third point includes position nine, position ten, position eleven and position twelve; the fourth point includes position thirteen; the fifth point includes position fourteen.

[0050] The above 14 test sites are used for detecting environmental health indicators, including the risk of in-vehicle allergens VAR, in-vehicle volatile organic compounds VOC, in-vehicle odor intensity VOI, vehicle electromagnetic radiation EMR, in-vehicle particulate matter PM, in-vehicle particulate matter barrier Z, in-vehicle particulate matter purification ability E, etc., for testing the spatial distribution and change characteristics of the environmental health indicators inside the vehicle. Further, the data of the 14 test sites and the environmental health indicator data are transmitted in real time, and data processing - analysis - evaluation is carried out.

[0051] This embodiment can not only be used to study the spatial distribution and variation characteristics of the in-vehicle environmental health indicators of a flying car under various external environments and different working conditions, but also accurately analyze and evaluate the health level of the in-vehicle environment, providing a scientific basis and guidance for vehicle users in terms of in-vehicle environmental health management.

[0052] To simulate the external climate state, the external climate state simulation unit includes a rainfall simulator installed on the inner wall of the experimental cabin, a snowfall simulator installed on the top of the experimental cabin, a haze generator and a dust generator installed on the top of the experimental cabin, which are connected to a snow / haze / dust transmission pipeline. The snow / haze / dust transmission pipeline is installed on the top of the experimental cabin to convey different intensities of snow / haze / dust to the experimental cabin. An air flow generating device is installed at the rear side of the experimental cabin. A pressure regulator, an industrial humidity regulator, an industrial temperature regulator, and a decibel regulator are sequentially installed at the inner bottom of the experimental cabin. An illumination sunlight simulator is circumferentially installed on the inner wall of the experimental cabin. A recovery device is installed at the bottom of the experimental cabin to recover rain / snow / haze / dust. A detection camera is also installed in the experimental cabin. A first sensor group is installed in the experimental cabin, and the first sensor group includes a humidity sensor, a temperature sensor, a wind speed sensor, a pressure sensor, a decibel sensor, and an air quality sensor.

[0053] In this embodiment, the external climate state simulation unit includes a rainfall simulator 13 installed on the inner wall of the experimental cabin, a snowfall simulator 16 installed on the top of the experimental cabin, a haze generator 17 and a dust generator 18 installed on the top of the experimental cabin, which are connected to a snow / haze / dust transmission pipeline 15. Figure 2 As shown, the snow / haze / dust transmission pipeline 15 is installed on the top of the experimental cabin to convey different intensities of snow / haze / dust to the experimental cabin. An air flow generating device 20 is installed at the rear side of the experimental cabin. A recovery device 12 is installed at the bottom of the experimental cabin to recover rain / snow / haze / dust. The outer wall 19 of the experimental cabin is sealed, and in cooperation with the pressure regulator 11, the air pressure inside the cabin is changed to laterally represent the working state of the flying car at different altitudes. An industrial humidity regulator 8, an industrial temperature regulator 9, and a decibel regulator 10 are sequentially installed at the inner bottom of the experimental cabin. An illumination sunlight simulator 14 is circumferentially installed on the inner wall of the experimental cabin. A detection camera 21 is installed in the experimental cabin.

[0054] In this embodiment, the experimental cabin 1 includes an inner cabin and an outer cabin arranged in a nested manner. The inner cabin surrounds the experimental flying car 2 on the outside, and the outer cabin surrounds the inner cabin on the outside. Among them, the wall surface of the outer cabin, that is, the outer wall 19 of the experimental cabin, is sealed. One side of the inner cabin is the air flow generating device 20, and the opposite side is open. The air flow generating device 20 generates air with different flow rates and blows it towards the experimental flying car 2 to simulate the air flow state of the experimental flying car 2 at different vehicle speeds / flying speeds.

[0055] In this embodiment, the regional model support base 5 is connected to the lower bottom surface of the outer cabin and is located in the area between the air flow generating device 20 and the experimental flying car 2. By driving the urban model 6 and the mountain model 7 to move up and down, the flow field change in front of the experimental flying car 2 is changed, simulating the air flow change when the flying car flies over the urban area and the mountain area. The structures of the regional model support base 5, the urban model 6, and the mountain model 7 are as Figure 3 shown. The upper part of the regional model support base 5 is connected to the urban model 6 and the mountain model 7, and hydraulic columns are provided at the bottoms of the urban and mountain models.

[0056] In this embodiment, the upper top surface of the inner cabin is movably connected to a robotic arm through a guide rail 43, and a propeller is provided at the end of the robotic arm, forming the overall structure of the robotic arm propeller 42, as Figure 5 shown. Some flying cars have propellers. Considering safety during the experiment, in this embodiment, the experimental flying car 2 and the propeller are separately arranged. The propeller is driven by the robotic arm to make the angle between the experimental flying car 2 and the horizontal ground the same, for simulating the attitude of the experimental flying car 2 in the air flight state and the corresponding gas flow field change.

[0057] In this embodiment, a flying car support base platform 3 is provided at the center of the bottom of the outer cabin. The top of the flying car support base platform 3 is connected to the experimental flying car 2 through a flying car motion device 4. The flying car motion device 4 is used to simulate the starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking and other attitudes of the flying car through unilateral lifting and rotation and other motions. The structure of the flying car motion device 4 is as Figure 4 shown, including multiple groups of hydraulic cylinders arranged between the top plate and the bottom plate. The lower bottom surface of the top plate is provided with multiple groups of slide rails evenly distributed in the circumferential direction around the center, and each slide rail points to the center of the top plate; the upper surface of the bottom plate is provided with multiple groups of slide rails evenly distributed in the circumferential direction around the center, and each slide rail points to the center of the bottom plate; the directions of the slide rails on the top plate and the bottom plate are staggered with each other, and the slide rails on the top plate and the bottom plate are movably connected through connecting rods and sliders to achieve unilateral lifting and rotation and other motions.

[0058] Specifically:

[0059] The rainfall simulator 13 is used to simulate different degrees of rainfall, generally achieved by changing the fixed simulation rainfall system.

[0060] The snowfall simulator 16 is used to simulate different degrees of snowfall, generally achieved by adjusting the snow output of the snow maker.

[0061] The haze generator 17 is used to simulate different degrees of haze, generally achieved by adjusting the flow rate of the air source pump.

[0062] The different degrees of dust are simulated by the dust generator 18, generally achieved by adjusting the overall module including the dust generator and the fan.

[0063] The air pressure states of the experimental flying car 2 at different flying heights are simulated by the air pressure regulator 11, generally achieved by regulating valves in the air pressure control system, and the air pressure in the experimental cabin 1 is detected by the pressure sensor 25.

[0064] The different lighting conditions during the operation of the experimental flying car 2 are simulated by the illuminance sunlight simulator 14, generally achieved by changing the brightness of the lighting lamp.

[0065] The different degrees of air humidity during the operation of the experimental flying car 2 are simulated by the industrial humidity regulator 8, generally achieved by the overall module including the dehumidifier, humidifier and air circulation system, and the humidity in the experimental cabin 1 is detected by the humidity sensor 23.

[0066] The different temperatures during the operation of the experimental flying car 2 are simulated by the industrial temperature regulator 9, generally achieved by the overall module of the electric heating wire and the refrigeration air conditioner, and the temperature in the experimental cabin 1 is detected by the temperature sensor.

[0067] The different noise conditions during the operation of the experimental flying car 2 are simulated by the decibel regulator 10, generally achieved by the overall module including the digital-to-analog converter and the amplifier, and the temperature in the experimental cabin 1 is detected by the decibel sensor 26.

[0068] The air quality in the experimental cabin 1 is detected by the air quality sensor 27.

[0069] The vehicle state of the flying car includes the vehicle internal state and the vehicle operation state. To simulate the vehicle state of the experimental flying car, it is achieved through the flying car support base platform 3, the flying car motion device 4 and the flying car ground lock. The experimental flying car is fixed on the flying car motion device 4 by the flying car ground lock, the flying car ground lock locks the position of the experimental flying car 2, and the flying car motion device 4 is used to drive the flying car to move in the experimental cabin 1. There is a regional model support base 5 at the bottom inside the experimental cabin 1, as Figure 3 shown, the upper part of the regional model support base 5 is connected to the urban model 6 and the mountain model 7, and hydraulic columns are also provided at the bottom of the urban and mountain models.

[0070] The vehicle internal state is simulated by changing the opening and closing state of the windows, different load conditions of the vehicle, the noise level inside the vehicle, the lighting conditions of the vehicle, the use of the air conditioning system, the use of in-vehicle electronic devices, and the driving mode of the vehicle.

[0071] The vehicle operation state includes three situations: flying in the air, driving on land, and transitional driving.

[0072] In the land driving test, the flying car is driven to move by the flying car motion device 4, and the flying car ground lock is used to fix the flying car to the flying car motion device 4, so that the relative position between the flying car and the flying car motion device 4 remains unchanged. Figure 4 As shown, through the unilateral lifting and rotating movements of the flying car movement device 4, the land driving test of the flying car starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking is realized.

[0073] During the flight test, the propeller and the experimental flying car are positioned by a laser device installed at the bottom of the propeller 42 support of the mechanical arm. Figure 5 As shown, the four propellers are located in the same plane, and the propellers are adjusted by the mechanical arm so that the angles between the mechanical arm propeller 42 and the experimental flying car 2 and the horizontal ground are consistent, and the relative position change between the propeller and the experimental flying car 2 depends on the movement of the mechanical arm joint. In addition, the position of the mechanical arm can be changed by sliding the guide rail 43 set on the top of the experimental cabin 1. At the same time, the flying car is fixed on the flying car motion device 4 by the flying car ground lock. The flying car is driven to move in the experimental cabin by the lifting and rotating flying car motion device 4; the land conditions below the flying car during actual flight are simulated by the model support base and the urban model and mountain model connected thereto. By adjusting the lifting hydraulic column directly connected to the model support base, the diverse terrains encountered by the flying car below in the actual flight are simulated, including mountainous areas and urban areas of different heights and different forms, so as to simulate the changes in the airflow below the flying car during flight. A vertical take-off / vertical landing / level flight / hovering / turning / circling / diving / jumping aerial flight test of the flying car in the experimental cabin is realized.

[0074] In the transition driving test, by controlling the start and stop of the robotic arm and the movement of the flying car's motion device, the flying car can achieve the transition driving test from land driving to air flying, and from air flying to land driving.

[0075] The experimental cabin 1 is based on its cabin panel structure, with polyurethane as the core material and supplemented by thermal insulation materials. It combines many advantages such as corrosion resistance, aging resistance, flame retardancy, non-toxicity, economy, lightness and durability, stable structure, high compressive strength, and reliable and beautiful appearance.

[0076] In this embodiment, a rainfall simulator, a snowfall simulator, a haze generator, and a sandstorm generator are used, and simulated rainfall weather, snowfall weather, haze weather, and sandstorm weather are conveyed through snow / haze / sand conveying pipelines. The air pressure state is simulated by a pressure regulator, the light intensity is simulated by an illuminance sunlight simulator, the air humidity is simulated by an industrial humidity regulator, the ambient temperature is simulated by an industrial temperature regulator, the external sound level is simulated by a decibel regulator, and the multi-scenario working conditions of a flying car are simulated by a flying car vehicle state platform.

[0077] After the simulation of the external climate state and the multi-scenario working conditions of the flying car is completed, real-time environmental health index data of 14 test points of the experimental flying car are detected (risk of allergens VAR in the vehicle, volatile organic compounds VOC in the vehicle, odor intensity VOI in the vehicle, vehicle electromagnetic radiation EMR, particulate matter PM in the vehicle, particulate matter barrier Z in the vehicle, particulate matter purification ability E in the vehicle), and the data is transmitted to the controller through the ECU.

[0078] Based on the various external climate states fed back by the first sensor group, the vehicle state of the flying car fed back by the second sensor group, and the environmental health index values inside the flying car fed back by the third sensor group as the input of the convolutional neural network, the convolutional neural network outputs the spatial distribution and variation characteristics of the environmental health index inside the flying car under multi-scenario working conditions.

[0079] This embodiment can be used to study the test of the environmental health index inside a flying car, can simulate various external climate states and vehicle states, realize the detection of various environmental health indexes inside the vehicle, as well as the efficient transmission, precise analysis, and comprehensive evaluation of environmental health index data.

[0080] Furthermore, for the environmental health indicator data, the following analysis is carried out, and VAR should meet the following requirements: for polybrominated biphenyls, polybrominated diphenyl ethers, and antimony, it should be ≤ 0.01 (mg / kg); for arsenic and lead, it should be > 0.01 (mg / kg) and ≤ 0.1 (mg / kg); for cadmium, it should be > 0.1 (mg / kg) and ≤ 0.4 (mg / kg); for hexavalent chromium, it should be > 0.4 (mg / kg) and ≤ 0.7 (mg / kg); for cobalt and copper, it should be > 0.7 (mg / kg) and ≤ 0.9 (mg / kg); for nickel, it should be > 0.9 (mg / kg) and ≤ 1 (mg / kg). VOC should meet the following requirements: for formaldehyde, it should be ≤ 0.10 mg / m3; for benzene, it should be ≤ 0.11 mg / m3; for toluene, it should be ≤ 1.10 mg / m3; for xylene, it should be ≤ 1.50 mg / m3; for ethylbenzene, it should be ≤ 1.50 mg / m3; for styrene, it should be ≤ 0.26 mg / m3; for acetaldehyde, it should be ≤ 0.05 mg / m3; for acrolein, it should be ≤ 0.05 mg / m3. VOI ≤ VOI*; EMR ≤ EMR*; PM ≤ PM*. The total score of the Z index is 20 points, and according to the measured Z value in the test, the score is allocated in different intervals. The total score of the E index is 80 points, and according to the measured purification time t and the purification termination concentration Ct1 in the test, the score is allocated in different intervals. For the environmental health indicators with limits, if they do not meet the limits, it is determined that they do not meet the environmental health requirements, and finally, a three-dimensional distribution map of the vehicle environmental health grade as shown in Figure 6 is formed.

[0081] The system of this embodiment comprehensively considers the impacts of various external climate states, different vehicle internal states, and vehicle motion states on the in-vehicle environment of the flying car, enhancing the comprehensiveness and accuracy of the in-vehicle environment test of the flying car. Multiple position points are designed in the vehicle to detect various index parameters such as the risk of sensitizing substances VAR in the vehicle, volatile organic compounds VOC in the vehicle, odor intensity VOI in the vehicle, vehicle electromagnetic radiation EMR, particulate matter PM in the vehicle, particulate matter barrier Z in the vehicle, and particulate matter purification ability E in the vehicle, so as to test the spatial distribution and change characteristics of the in-vehicle environmental health indicators, providing necessary support for studying the in-vehicle environment health of the flying car under various external climate states and vehicle states.

[0082] The detection points include the first point located at the headrest of each seat in the vehicle, the second point located at the backrest of each seat in the vehicle, the third point located in the leg space of each seat, the fourth point located at the air outlet of the vehicle air conditioner, and the fifth point located in the central console area between the front seats. The third sensor group is provided at the first point, the second point, the third point, the fourth point, and the fifth point. By scientifically arranging the sensor positions, the accurate monitoring and data collection of the in-vehicle environment indicators are realized.

[0083] Embodiment 2:

[0084] This embodiment provides a method for monitoring the environmental health index of a flying car cabin, including the following steps:

[0085] By simulating external climate conditions, including rain, snow, haze, dust, light, air pressure, humidity, temperature, decibels and other external climate conditions.

[0086] The vehicle status of the experimental flying car is simulated, including three situations: air flight, land driving, and transition driving. Among them, air flight includes vertical take-off / vertical landing / level flight / hovering / turning / circling / diving / jumping / emergency operations; land driving includes starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking operations; transition driving includes from land driving to air flight and from air flight to land driving. The internal state of the experimental flying car is simulated by adjusting the opening and closing state of the windows, the noise level in the car, the use of the air conditioning system, different load conditions of the vehicle, different engine speeds, the lighting conditions of the vehicle, the use of electronic equipment in the car, and the driving mode of the vehicle.

[0087] The conditions of the experimental cabin under various external climate conditions are obtained through a No. 1 sensor group installed on the inner wall of the experimental cabin, and the conditions are fed back to the controller;

[0088] The real-time vehicle status of the flying car is simulated and fed back to the controller by means of a second sensor group installed in the flying car motion device and the flying car;

[0089] The three sensor groups set at the first, second, third, fourth and fifth points are used to obtain the real environmental health index values inside the flying car and feed them back to the controller;

[0090] The controller uses sensor group No. 1 to feedback the conditions of the experimental cabin under various external climate conditions, sensor group No. 2 to feedback the real-time vehicle status of the experimental flying car, and sensor group No. 3 to feedback the health index values of the flying car's interior environment.

[0091] The controller uses the various external climate conditions fed back by sensor group 1, the vehicle operating conditions of the flying car fed back by sensor group 2, and the values of the flying car's interior environmental health indicators fed back by sensor group 3 as inputs to the convolutional neural network. The convolutional neural network outputs the spatial distribution and change characteristics of the interior environmental health indicators under multiple scenarios.

[0092] The calculation formula for the health index of the interior environment of the experimental flying car is:

[0093]

[0094] Where N represents the number of sensor sites, w nThe weight of the environmental health index of site n, H n Represents the environmental health index of site n.

[0095] The output value of the convolutional neural network is divided into five grade intervals. When the output value is between 0 and 0.2, it corresponds to the "excellent" grade; when the output value is between 0.2 and 0.4, it corresponds to the "relatively excellent" grade; when the output value is between 0.4 and 0.6, it corresponds to the "medium" grade; when the output value is between 0.6 and 0.8, it corresponds to the "poor" grade; when the output value is between 0.8 and 1, it corresponds to the "very poor" grade.

[0096] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A monitoring system for the in-cabin environmental health index of a flying car, characterized in that, Comprising: An experimental module, inside which there is a support base platform for a flying car. The support base platform for the flying car drives the experimental flying car to perform simulated movements through a flying car motion device, and obtains the corresponding vehicle state through a second sensor group. An external climate state simulation unit, arranged inside the experimental module, used to simulate various external climate environment states encountered by the experimental flying car, and obtains the corresponding external climate environment state through a first sensor group. An environment testing unit, including a plurality of detection points arranged at set positions inside the experimental flying car. Each detection point obtains the environmental parameters inside the vehicle through a third sensor group. Among them, the experimental module includes an inner cabin and an outer cabin arranged in a nested manner. The inner cabin surrounds the outside of the experimental flying car, and the outer cabin surrounds the outside of the inner cabin. The wall surface of the outer cabin is sealed, and one side of the inner cabin is provided with an air flow generating device, and the opposite side is an opening; different flow rates of air are generated by the air flow generating device and blown towards the experimental flying car to simulate the air flow state at different vehicle speeds / flying speeds of the experimental flying car. A regional model support base is provided on the bottom surface of the outer cabin. The regional model support base is located in the area between the air flow generating device and the experimental flying car, and changes the flow field change in front of the experimental flying car by driving the urban model and the mountain model to move up and down, simulating the air flow change when the flying car flies over urban areas and mountainous areas. A support base platform for the flying car is provided at the center of the bottom of the outer cabin. The top of the support base platform for the flying car is connected to the experimental flying car through a flying car motion device.

2. The in-cabin environmental health index monitoring system for a flying car according to claim 1, characterized in that, The flying car motion device is used to simulate the starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking postures of the flying car through unilateral lifting and rotational movements.

3. The in-cabin environmental health index monitoring system for a flying car according to claim 1, characterized in that The first sensor group is located inside the experimental module and includes a humidity sensor, a temperature sensor, a wind speed sensor, a pressure sensor, a decibel sensor, and an air quality sensor.

4. The in-cabin environmental health index monitoring system for a flying car according to claim 1, wherein Each detection point is provided with a third sensor group. The third sensor group includes at least a total vehicle volatile organic compound concentration sensor, a power frequency electromagnetic radiation analyzer, a vehicle-mounted PM2.5 monitor, and an electronic nose.

5. The in-cabin environmental health index monitoring system for a flying car according to claim 1, characterized in that, The detection points include a first point set at the headrest of each seat inside the experimental flying car, a second point set at the backrest of each seat, a third point set in the leg space of each seat, a fourth point set at the air outlet of the vehicle air conditioner, and a fifth point set in the central console area between the front seats.

6. The in-cabin environmental health index monitoring system for a flying car according to claim 1, characterized in that, The external climate state simulation unit includes a rainfall simulator arranged on the inner wall of the experimental cabin, a snowfall simulator arranged on the top of the experimental cabin, and a haze generator and a dust generator arranged on the top of the experimental cabin. The haze generator and the dust generator are connected to corresponding snow / haze / dust conveying pipelines. The snow / haze / dust conveying pipelines are arranged on the top of the experimental cabin to convey snow / haze / dust of different intensities to the experimental cabin; an air pressure regulator, an industrial humidity regulator, an industrial temperature regulator and a decibel regulator are arranged at the bottom of the inner side of the experimental cabin, and an illuminance solar simulator arranged in a circumferential direction is arranged on the inner wall of the experimental cabin; a recovery device for recovering rain, snow, haze and dust is provided at the bottom of the experimental cabin; and a detection camera is provided in the experimental cabin.

7. The in-cabin environmental health index monitoring system for a flying car according to claim 1, characterized in that, The environmental testing unit also includes a controller, which uses the multiple external climate conditions fed back by the first sensor group, the vehicle operating conditions of the flying car fed back by the second sensor group, and the values of the flying car's in-car environmental health index fed back by the third sensor group as inputs of the neural network to obtain the spatial distribution and change characteristics of the environmental health indicators in the car under multiple scenario conditions.

8. The in-cabin environmental health index monitoring system for a flying car according to claim 7, characterized in that, Based on the environmental parameters fed back by the No. 3 sensor group, the controller processes the values of the flying car's in-vehicle environmental health index and calculates the overall environmental health index inside the experimental vehicle, which is: Among them, N represents the number of sensor sites, represents the weight of the environmental health index of site n, represents the environmental health index of site n.

9. A method for monitoring the in-cabin environmental health index of a flying car, implemented based on the in-cabin environmental health index monitoring system according to any one of claims 1-8, characterized in that, The following steps are involved: The simulation experiment uses the internal state of the flying car to simulate different vehicle loads, window opening and closing states, engine speeds, noise levels inside the car, vehicle lighting conditions, use of electronic equipment inside the car, use of the air conditioning system, and vehicle driving modes; The flying car motion device is used to drive the experimental flying car to move, simulating the flying car's vertical take-off / vertical landing / level flight / hovering / turning / circling / diving / jumping in the air and the starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking on land and transition driving states, realizing the simulation of various vehicle state conditions; Using the external climate state simulation unit to simulate various external climate environment states encountered by the experimental flying car, and obtaining the corresponding external climate environment states; Use the environmental test unit to obtain the environmental parameters inside the vehicle; Based on the obtained external climate environment conditions, the vehicle status of the flying car and the in-car environmental health index values calculated from the environmental parameters in the car, they are used as the input of the neural network to obtain the spatial distribution and change characteristics of the in-car environmental health indicators under multiple scenario conditions.

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