System and method for monitoring environmental health index in hovercar cabin

Abstract

The invention relates to a system and a method for monitoring environmental health indexes in a hovercar cabin, a hovercar supporting base platform is arranged in an experiment cabin, the hovercar supporting base platform drives an experimental hovercar to perform simulation motion through a hovercar motion device, and a corresponding vehicle state is obtained through a second sensor group; the external climate state simulation unit is arranged in the experiment module and is used for simulating various external climate environment states encountered by the aerocar for the experiment and acquiring the corresponding external climate environment states through a first sensor group; the environment test unit comprises a plurality of detection point positions arranged at set positions in the experimental hovercar, and each detection point position obtains environment parameters in the car through a third sensor group. The influence of various external climate states, different vehicle internal states and vehicle motion states on the hovercar internal environment is comprehensively considered, and the comprehensiveness and accuracy of hovercar internal environment testing are enhanced.

Description

Technical Field

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

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

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

[0004] In the field of flying car technology, the research on in-vehicle environmental monitoring is still in its infancy, especially the lack of research on the correlation between the spatial distribution and dynamic change characteristics of in-vehicle environmental parameters. Since flying cars can operate in both ground and air environments, it is difficult to grasp the specific values ​​and change patterns of environmental indicators in different areas of the vehicle under different operating conditions and complex weather conditions. Summary of the invention

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

[0006] In order to achieve the above object, the present invention adopts the following technical solution:

[0007] A first aspect of the present invention provides a flying car cabin environment health index monitoring system, comprising:

[0008] The experimental cabin is equipped with a flying car support base platform. The flying car support base platform drives the experimental flying car to perform simulated movement through the flying car movement device, and obtains the corresponding vehicle status through the No. 2 sensor group;

[0009] The external climate state simulation unit is arranged in the experimental cabin and 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 No. 1 sensor group;

[0010] The environmental test unit includes multiple detection points arranged at set positions inside the experimental flying car, and each detection point obtains the environmental parameters inside the car through a No. 3 sensor group;

[0011] The experimental cabin includes an inner cabin and an outer cabin which are nested. The inner cabin surrounds the outside of the experimental flying car, and the outer cabin surrounds the outside of the inner cabin. The wall of the outer cabin is sealed. An airflow generating device is provided on one side of the inner cabin, and the other side is open. Air with different flow rates is generated by the airflow generating device and blown toward the experimental flying car, simulating the airflow state of the experimental flying car at different vehicle speeds / flight speeds.

[0012] Furthermore, the regional model support base is connected to the lower bottom surface of the outer cabin and is located in the area between the airflow generating device and the experimental flying car. By driving the urban model and the mountain model to rise and fall, the flow field changes in front of the experimental flying car are changed, simulating the airflow changes in which the flying car is in when flying over urban and mountainous areas.

[0013] Furthermore, a flying car support base platform is provided at the center of the bottom of the outer cabin, and 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 posture of the flying car through unilateral lifting and rotating movements.

[0014] Furthermore, sensor group No. 1 is located in the experimental cabin, including 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 equipped with a No. 3 sensor group, which includes at least a vehicle-mounted volatile organic compound total concentration sensor, an industrial frequency electromagnetic radiation analyzer, a vehicle-mounted PM2.5 monitor and an electronic nose.

[0016] Furthermore, the detection points include point No. 1 set at the headrest of each seat in the experimental flying car, point No. 2 set at the backrest of each seat, point No. 3 set at the leg space of each seat, point No. 4 set at the air outlet of the air conditioner in the car, and point No. 5 set 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] 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;

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

[0027] 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.

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

[0029] 1. Comprehensively consider the impact of various external climate conditions, different vehicle internal conditions and vehicle motion conditions on the flying car's interior environment, enhancing the comprehensiveness and accuracy of the flying car's interior environment test.

[0030] 2. The impact of changes in the gas flow field on environmental parameter monitoring during the movement of the flying car was considered. An airflow generator was used to blow airflows of different wind speeds to the experimental vehicle to simulate different vehicle speeds / flight speeds. During the simulation, the changes in the flow field in front of the vehicle when the flying car flew over urban and mountainous areas were considered; as well as the changes in the gas flow field when the vehicle was in a turning / climbing / circling posture.

[0031] 3. By testing various parameters such as the risk of allergens in the car (VAR), volatile organic compounds (VOC), odor intensity (VOI), electromagnetic radiation (EMR), particulate matter (PM), particle barrier (Z), and purification capacity (E) at multiple locations designed inside the car, the spatial distribution and variation characteristics of the in-car environmental health indicators are tested, providing necessary support for studying the in-car environmental health of flying cars under various external climate conditions and vehicle conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0033] Figure 1 A schematic diagram of the architecture of a flying car cabin environment health index monitoring system provided by one or more embodiments of the present invention;

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

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

[0036] Figure 4 A schematic diagram of a flying car motion device in an experimental cabin provided for one or more embodiments of the present invention;

[0037] Figure 5 A schematic diagram of a movable mechanical arm of a flying car simulation flight device in an experimental cabin provided for one or more embodiments of the present invention;

[0038] Figure 6 A three-dimensional distribution diagram of the automobile environmental health level under certain working conditions provided by 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 illumination solar simulator; 15 snow / smog / dust transmission pipeline; 16 snowfall simulator; 17 haze generator; 18 dust generator; 19 outer wall of experimental cabin; 20 airflow 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 mechanical arm propeller; 43 guide rail. DETAILED DESCRIPTION

[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 descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0042] The following embodiment provides a flying car cabin environment health index monitoring system and method, designs a flying car cabin environment health index testing platform under multiple scenario conditions, designs multiple position points in the flying car, and detects multiple index parameters such as the in-car allergen risk VAR, in-car volatile organic compound VOC, in-car odor intensity VOI, vehicle electromagnetic radiation EMR, in-car particulate matter PM, in-car particulate matter barrier Z, and in-car particulate matter purification capacity E, thereby testing the spatial distribution and change characteristics of the in-car environment health index, and providing necessary support for studying the internal environment of the flying car under various external climate conditions and vehicle conditions.

[0043] Embodiment 1:

[0044] like Figure 1 As shown, the monitoring system includes an experimental cabin 1, and a flying car support base platform 3 is arranged at the bottom center of the internal space of the experimental cabin 1. The flying car support base platform 3 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 provided 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] The flying car motion device 4 and the experimental flying car 2 are provided with a second sensor group for obtaining the real-time vehicle status of the flying car, such as a vehicle speed sensor, an inclination sensor, and a slope sensor.

[0047] The experimental flying car 2 is equipped with an environmental test unit, which includes multiple testing points, including point 1 set at the headrest of each seat in the car, point 2 set at the backrest of each seat in the car, point 3 set at the leg space of each seat, point 4 set at the air outlet of the air conditioner in the car, and point 5 set in the central console area between the front seats.

[0048] The No. 3 sensor group is set at point 1, point 2, point 3, point 4 and point 5. The No. 3 sensor group is used to detect the health indicators of the flying car's interior environment, and to test the spatial distribution and change characteristics of the health indicators of the flying car's interior environment under multiple working conditions. The No. 3 sensor group includes at least a vehicle-mounted volatile organic compound total concentration sensor, a power frequency electromagnetic radiation analyzer, a vehicle-mounted PM2.5 monitor and an electronic nose.

[0049] In this embodiment, point number one includes position one, position two, position three and position four; point number two includes position five, position six, position seven and position eight; point number three includes position nine, position ten, position eleven and position twelve; point number four includes position thirteen; point number five includes position fourteen.

[0050] The above 14 test sites are used to detect environmental health indicators, including in-vehicle allergen risk 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 and in-vehicle particulate matter purification capacity E, etc.), and are used to test the spatial distribution and variation characteristics of environmental health indicators in the vehicle. Furthermore, the environmental health indicator data of the 14 test sites are transmitted in real time, and data processing, analysis and evaluation are performed.

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

[0052] In order to simulate the external climate state, 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, a haze generator and a dust generator arranged on the top of the experimental cabin connected to the snow / haze / dust conveying pipeline, the snow / haze / dust conveying pipeline is arranged on the top of the experimental cabin to transmit snow / haze / dust of different intensities to the experimental cabin, and the airflow generating device is arranged on the rear side of the experimental cabin. The air pressure regulator, industrial humidity regulator, industrial temperature regulator, and decibel regulator are arranged at the bottom of the experimental cabin in sequence, and the illumination solar simulator is arranged circumferentially on the inner wall of the experimental cabin. The recovery device is arranged at the bottom of the experimental cabin for recovering rain, snow, haze, and dust. A detection camera is also arranged in the experimental cabin. A sensor group No. 1 is arranged in the experimental cabin, and the sensor group No. 1 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 arranged on the inner wall of the experimental cabin, a snowfall simulator 16 arranged on the top of the experimental cabin, a haze generator 17 and a dust generator 18 arranged on the top of the experimental cabin connected to the snow / haze / dust conveying pipeline 15, such as Figure 2 As shown, the snow / smog / dust delivery pipeline 15 is arranged on the top of the experimental cabin to transmit snow / smog / dust of different intensities to the experimental cabin, the airflow generating device 20 is arranged on the rear side of the experimental cabin, and the recovery device 12 is arranged on the bottom of the experimental cabin to recover rain, snow / smog / dust. The outer wall 19 of the experimental cabin is sealed, and the air pressure regulator 11 is used to change the air pressure in the cabin to express the working state of the flying car at a high altitude in a lateral direction. The industrial humidity regulator 8, the industrial temperature regulator 9, and the decibel regulator 10 are arranged at the bottom of the experimental cabin in sequence, and the illumination solar simulator 14 is arranged circumferentially on the inner wall of the experimental cabin. A detection camera 21 is arranged 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, wherein the inner cabin surrounds the outer side of the experimental flying car 2, and the outer cabin surrounds the outer side of the inner cabin, wherein the wall surface of the outer cabin, i.e., the outer wall 19 of the experimental cabin is sealed. One side of the inner cabin is an airflow generating device 20, and the other side opposite is open. The airflow generating device 20 generates air with different flow rates and blows it toward the experimental flying car 2, so as to simulate the airflow state of the experimental flying car 2 at different vehicle speeds / flight 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 airflow 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 changes in front of the experimental flying car 2 are changed to simulate the airflow changes when the flying car flies over the urban and mountainous areas. The structures of the regional model support base 5, the urban model 6 and the mountain model 7 are shown in FIG. Figure 3 As 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 bottom of the urban and mountain models.

[0056] In this embodiment, the upper top surface of the inner cabin is movably connected to the mechanical arm through a guide rail 43, and a propeller is provided at the end of the mechanical arm to form an integral structure of the mechanical arm propeller 42, such as Figure 5 Some flying cars have propellers. Considering the safety during the experiment, the experimental flying car 2 and the propeller are set separately in this embodiment. The propeller is driven by a mechanical arm to make it consistent with the angle between the experimental flying car 2 and the horizontal ground, so as to simulate the posture of the experimental flying car 2 in the air and the corresponding changes in the gas flow field.

[0057] In this embodiment, a flying car support base platform 3 is provided at the center of the bottom of the outer cabin, and 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 flying car's starting / constant speed / acceleration / deceleration / turning / climbing / idling / braking postures through unilateral lifting and rotation and other movements. The structure of the flying car motion device 4 is as follows: Figure 4 As shown, it includes 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 around the center of the circle, 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 around the center of the circle, 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 of the top plate and the bottom plate are movably connected by connecting rods and sliders to realize single-sided lifting and rotation and other movements.

[0058] Specific:

[0059] The rainfall simulator 13 is used to simulate different rainfall levels, which is generally achieved by changing a fixed rainfall simulation system.

[0060] The snowfall simulator 16 simulates different snowfall levels, which is generally achieved by adjusting the snow output of a snowmaking machine.

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

[0062] The dust generator 18 is used to simulate different dust levels, which is generally achieved by adjusting the overall module including the dust generator and the fan.

[0063] The air pressure state of the experimental flying car 2 at different flight altitudes is simulated by the air pressure regulator 11 , which is generally achieved through an air pressure control system regulating valve, and the air pressure of the experimental cabin 1 is detected by the pressure sensor 25 .

[0064] The illumination solar simulator 14 simulates different lighting conditions when the experimental flying car 2 is running, which is generally achieved by changing the brightness of the lighting lamp.

[0065] The industrial humidity regulator 8 is used to simulate the different levels of air humidity when the experimental flying car 2 is running, which is generally achieved through an overall module including a dehumidifier, a humidifier and an air circulation system, and the humidity of the experimental cabin 1 is detected by a humidity sensor 23.

[0066] The industrial temperature regulator 9 is used to simulate the different temperatures of the experimental flying car 2 during operation, which is generally achieved through an integrated module of electric heating wires and refrigeration and air conditioning, and the temperature of the experimental cabin 1 is detected by a temperature sensor.

[0067] The decibel regulator 10 is used to simulate different noise conditions when the experimental flying car 2 is running, which is generally achieved through an integral module including a digital-to-analog converter and an amplifier, and the decibel sensor 26 is used to detect the temperature of the experimental cabin 1.

[0068] The air quality of the test chamber 1 is detected by the air quality sensor 27 .

[0069] The vehicle state of the flying car includes the internal state of the vehicle and the running state of the vehicle. In order to simulate the vehicle state of the experimental flying car, the flying car support base platform 3, the flying car motion device 4 and the flying car ground lock are used. The experimental flying car is fixed on the flying car motion device 4 by the flying car ground lock, and the flying car ground lock locks the position of the experimental flying car 2. The flying car motion device 4 is used to drive the flying car to move in the experimental cabin 1. The bottom of the experimental cabin 1 is provided with a regional model support base 5, such as Figure 3 As 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 interior state is simulated by changing the opening and closing status of the windows, different vehicle load conditions, the noise level in the vehicle, the vehicle lighting conditions, the use of the air conditioning system, the use of the electronic equipment in the vehicle, and the vehicle's driving mode.

[0071] The vehicle operation status includes three situations: flying in the air, driving on land and transition 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] This embodiment simulates rainy weather, snowy weather, haze weather and dusty weather through a rain simulator, a snow simulator, a haze generator and a dust generator and transmits them through snow / haze / dust transmission pipelines. The air pressure state is simulated by an air pressure regulator, the light intensity is simulated by an illuminance solar 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 flying car vehicle status platform simulates the multi-scenario working conditions of the flying car.

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

[0078] The controller uses the various external climate conditions fed back by sensor group 1, the vehicle status of the flying car fed back by sensor group 2, and the environmental health index values ​​of the flying car interior 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 environmental health indicators inside the flying car under multiple scenarios.

[0079] This embodiment can be used to study the test of environmental health indicators inside a flying car, and can simulate a variety of external climate conditions and vehicle conditions, realize the detection of a variety of environmental health indicators inside the car, and the efficient transmission, accurate analysis and comprehensive evaluation of environmental health indicator data.

[0080] Further, for the environmental health indicator data, VAR should meet the following requirements: polybrominated biphenyls, polybrominated diphenyl ethers, antimony ≤ 0.01 (mg / kg), arsenic, lead > 0.01 (mg / kg) and ≤ 0.1 (mg / kg), cadmium > 0.1 (mg / kg) and ≤ 0.4 (mg / kg), hexavalent chromium > 0.4 (mg / kg) and ≤ 0.7 (mg / kg), cobalt, copper > 0.7 (mg / kg) and ≤ 0.9 (mg / kg), nickel > 0.9 (mg / kg) and ≤ 1 (mg / kg); VOC should meet the following requirements: formaldehyde ≤ 0.10 mg / m3, benzene ≤ 0.11mg / m3, toluene ≤ 1.10mg / m3, xylene ≤ 1.50mg / m3, ethylbenzene ≤ 1.50mg / m3, styrene ≤ 0.26mg / m3, acetaldehyde ≤ 0.05mg / m3, acrolein ≤ 0.05mg / m3; VOI ≤ VOI*; EMR ≤ EMR*; PM ≤ PM*; The total score of the Z index is 20 points, and the score is allocated in different intervals according to the Z value measured in the test; The total score of the E index is 80 points, and the score is allocated in different intervals according to the purification time t and the purification end concentration Ct1 measured in the test. Environmental health indicators with limit values, if the limit values ​​are not met, are determined to be non-compliant with environmental health requirements, and finally form the following Figure 6 The three-dimensional distribution map of automobile environmental health level is shown.

[0081] The system of this embodiment comprehensively considers the impact of various external climate states, different vehicle internal states, and vehicle motion states on the flying car's interior environment, thereby enhancing the comprehensiveness and accuracy of the flying car's interior environment test; multiple location points are designed inside the car to detect various index parameters such as interior allergen risk VAR, interior volatile organic compound VOC, interior odor intensity VOI, vehicle electromagnetic radiation EMR, interior particulate matter PM, interior particulate matter barrier Z, and interior particulate matter purification capacity E, thereby testing the spatial distribution and variation characteristics of the interior environmental health indicators, providing necessary support for studying the interior environmental health of flying cars under various external climate states and vehicle states.

[0082] The detection points include point 1 set at the headrest of each seat in the car, point 2 set at the backrest of each seat in the car, point 3 set at the leg space of each seat, point 4 set at the air-conditioning outlet in the car, and point 5 set in the central console area between the front seats. Points 1, 2, 3, 4 and 5 are all equipped with three sensor groups. By scientifically arranging the sensor positions, accurate monitoring and data collection of environmental indicators in the car can be achieved.

[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 nrepresents the 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 levels. When the output value is between 0 and 0.2, it corresponds to the "excellent" level; when the output value is between 0.2 and 0.4, it corresponds to the "better" level; when the output value is between 0.4 and 0.6, it corresponds to the "medium" level; when the output value is between 0.6 and 0.8, it corresponds to the "poor" level; when the output value is between 0.8 and 1, it corresponds to the "poor" level.

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

Claims

1. A flying car cabin environment health index monitoring system, characterized in that: include: The experimental cabin is equipped with a flying car support base platform. The flying car support base platform drives the experimental flying car to perform simulated movement through the flying car movement device, and obtains the corresponding vehicle status through the No. 2 sensor group; The external climate state simulation unit is arranged in the experimental cabin and 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 No. 1 sensor group; The environmental test unit includes multiple detection points arranged at set positions inside the experimental flying car, and each detection point obtains the environmental parameters inside the car through a No. 3 sensor group; The experimental cabin includes an inner cabin and an outer cabin which are nested. The inner cabin surrounds the outside of the experimental flying car, and the outer cabin surrounds the outside of the inner cabin. The wall of the outer cabin is sealed. An airflow generating device is provided on one side of the inner cabin, and the other side is open. Air with different flow rates is generated by the airflow generating device and blown toward the experimental flying car, simulating the airflow state of the experimental flying car at different vehicle speeds / flight speeds.

2. A flying car cabin environment health index monitoring system as claimed in claim 1, characterized in that: A regional model support base is provided on the lower bottom surface of the outer cabin. The regional model support base is located in the area between the airflow generating device and the experimental flying car. By driving the urban model and the mountain model to rise and fall, the flow field changes in front of the experimental flying car are changed, thereby simulating the airflow changes in which the flying car is located when flying over urban and mountainous areas.

3. The flying car cabin environment health index monitoring system according to claim 1, characterized in that: A flying car support base platform is arranged at the center of the bottom of the outer cabin, and 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 posture of the flying car through unilateral lifting and rotating movements.

4. The flying car cabin environment health index monitoring system according to claim 1, characterized in that: The sensor group No. 1 is located in 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.

5. The flying car cabin environment health index monitoring system according to claim 1, characterized in that: Each detection point is equipped with a No. 3 sensor group, which includes at least a vehicle-mounted volatile organic compound total concentration sensor, an industrial frequency electromagnetic radiation analyzer, a vehicle-mounted PM2.5 monitor and an electronic nose.

6. The flying car cabin environment health index monitoring system according to claim 1, characterized in that: The detection points include point No. 1 set at the headrest of each seat in the experimental flying car, point No. 2 set at the backrest of each seat, point No. 3 set at the leg space of each seat, point No. 4 set at the air outlet of the air conditioner in the car, and point No. 5 set in the central console area between the front seats.

7. The flying car cabin environment health index monitoring system 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.

8. The flying car cabin environment health index monitoring system 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.

9. A flying car cabin environment health index monitoring system as claimed in claim 8, 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: in, 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.

10. A method for monitoring the health index of the cabin environment of a flying car, implemented based on the system for monitoring the health index of the cabin environment of a flying car according to any one of claims 1 to 9, 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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