CN109829663A - A kind of light rail train comfort level evaluating system based on cloud platform - Google Patents
A kind of light rail train comfort level evaluating system based on cloud platform Download PDFInfo
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Abstract
The invention discloses a kind of light rail train comfort level evaluating system based on cloud platform, its structure includes data acquisition module, cloud platform, mobile phone A pp module, multi-modal data is acquired by sensors such as the air pressure of the GPS of mobile phone, acceleration transducer, light sensor, microphone and Intelligent bracelet, temperature and humidity, heart rate, blood oxygen, blood pressure, body temperature, electrocardios, cloud platform is transferred data to based on 5G, through cloud computing and processing, by light rail train comfort of passenger and health assessment result, each light rail train station comfort level trend as the result is shown on mobile phone A pp；The invention can evaluate light rail train in the operating condition and comfort of each website in real time comprehensively, quick service is provided for light rail train operation maintenance personnel, comfort level and health status that passenger takes light rail train can also be evaluated and tested simultaneously, predict the following a period of time comfort inside trend of each website on light rail train line, light rail train trip information and healthy Scout service are provided for passenger, there are good market prospects.
Description
Technical field
The present invention relates to light rail train comfort levels and passenger's health to evaluate and test field, and in particular to a kind of acquisition light rail train fortune
The multi-modal informations such as row information, vehicle environment information and Human Physiology information, cloud platform pass through processing, the analysis to mass data
And prediction, real-time comfort level result, comfort level trend and the human health of each website of light rail train are obtained based on evaluation criterion
The system of evaluation result.
Background technique
Light rail train due to have the characteristics that on schedule, quickly, commuting amount and low-carbon environment-friendly greatly, used by many cities both at home and abroad
In congestion problems and environmental problem that city is effectively relieved, urban rail transit in China development is swift and violent, is gone on a journey using light rail train
Number is continuously increased, and light rail train passenger comfort and health also have been to be concerned by more and more people, therefore are highly desirable pair
The comfort level of light rail train is analyzed, evaluated and tested and is predicted；But the domestic research to light rail train passenger comfort and health is more
It lays particular emphasis on to the unitary variants such as light rail train vibration signal, environment inside car, Human Physiology or single aspect variable analysis, not yet
A kind of comprehensive light rail train operation information, the light rail train comfort of passenger of vehicle environment information and Human Physiology information and health
Assessment and the system that light rail train website comfort level is predicted based on mass data.
Existing light rail train comfort measuring device is mainly measurement target with train vibration, and it is comfortable to carry out light rail train
Degree evaluation and test, has a single function and involves great expense, and only unilaterally evaluation light rail train compartment is vibrated to light rail train passenger comfort
It influences, does not account for the influence of environmental factor and passenger's physiological parameter to light rail train passenger comfort；However, existing research table
Bright column environment inside car factor (such as noise, temperature, humidity, air pressure) and passenger's physiological parameter (such as heart rate, blood oxygen, blood pressure, body
Temperature, electrocardio etc.) vital influence is played on comfort of passenger evaluation.
Current Domestic is still far from perfect to the Comfort Evaluation of light rail train, does not formulate the light rail column for being specific to China
Vehicle Comfort Evaluation standard does not carry out specific and detailed analysis to the comfort level of light rail train, not over mass data
Real-time tendency prediction to each website comfort level.
In conclusion existing light rail train comfort evaluating system is very not perfect, it is embodied in data acquisition respectively and sets
Standby single, data analytical standard is not perfect and precision is not high, without using data mining technology and depth learning technology, can not be pre-
Survey the light rail train comfort level variation tendency of each website；Therefore, current comfort level evaluating system cannot meet train reality very well
The actual demand of border operation and passenger.
For existing deficiency, the system that the present invention designs can acquire light rail train letter by mobile phone and bracelet internal sensor
Breath, environment inside car information and Human Physiology information, Real-Time Evaluation light rail train comfort of passenger and health status, to establish single mode
State and multi-modal light rail train Comfort Evaluation standard provide technical support, provide trip information for light rail train passenger and are good for
Health Scout service；Based on deep learning frame, the real-time comfort level variation tendency of light rail train is predicted.
Summary of the invention
A kind of light rail train comfort level evaluating system based on cloud platform includes data acquisition module, cloud platform, hand
Machine App module three parts；Pass through the sensor (acceleration, light sensor, GPS, microphone) and intelligent hand built in mobile phone
Built in ring sensor (sensors such as air pressure, temperature and humidity, heart rate, blood oxygen, blood pressure, body temperature, electrocardio) acquisition compartment vibration signal,
The multi-modal datas such as environmental information and physiology signal in compartment, upload to cloud platform by 5G, are based on evaluation criterion logarithm
According to progress cloud computing, and single mode and multi-modal data evaluation result are further analyzed based on deep learning frame, finally
The comfort level variation tendency of the health assessment report of comfort level evaluation result, passenger and each website is transferred to mobile phone by 5G
It is shown in App, provides efficiently train motion monitoring service for light rail train operation maintenance personnel, provided intuitively for light rail train passenger
And practical trip information and healthy Scout service.
The data acquisition module uses acceleration transducer, acquires a certain instantaneous acceleration information when train operation
(including the acceleration information in launch train, braking, operational process)；It is strong that light in compartment is acquired by light sensor
Degree evidence；Position passenger position and light rail train site location in real time by GPS；Train and compartment inner ring are acquired by microphone
The noise intensity data in border；Temperature data and humidity data in compartment are acquired by Temperature Humidity Sensor；Pass through air pressure transmission
Sensor acquires barometric information in compartment；Human heart rate's data are acquired by heart rate sensor；It is acquired by blood oxygen transducer
Human body blood oxygen saturation data；Blood of human body systolic pressure and blood diastolic blood pressure data are acquired by blood pressure sensor；Pass through body temperature
Sensor acquires body temperature data；Each wave band, interphase situation of change are acquired by EGC sensor.
The collected data of each sensor save simultaneously simple process by the cloud platform, are based on evaluation criterion pair
Data carry out cloud computing, are compared with standard parameter, obtain evaluation result and store into cloud database, pass through channel radio
Letter is transferred to mobile phone A pp and shows；Based on deep learning frame, collected data and comfort level evaluation result are further analyzed,
The prediction of the comfort level variation tendency of each website of light rail train can be achieved, and shown on mobile phone A pp by wireless communication.
The mobile phone A pp module can be used for showing comfort level evaluation result based on cloud computing, comfort level prediction result with
And the report of passenger's health assessment, including four parts: comfort curve figure, comfort level prognostic chart, Human Physiology index curve graph,
Human health report；Comfort curve figure includes the comfort level evaluation and test figure and comprehensive comfort level evaluation and test figure two of single mode data target
Kind.
The invention is characterised in that comprehensive light rail train information of vehicles, environment inside car information and Human Physiology information, accurate complete
Face is easily evaluated, prompts and is predicted to light rail train comfort level and passenger's health in real time, once it is uncomfortable human body occur
Or it is unhealthy as a result, mobile phone A pp module can intuitively show that the website comfort level for taking light rail train at present is poor, prompt passengers are
Shi Huancheng；Data not only are provided for the monitoring of light rail train operation problem and human health status tracking to support, and are mentioned for passenger
It evaluates and tests and predicts for real-time comfort level.
Detailed description of the invention
Present invention will be further explained below with reference to the attached drawings and examples
Fig. 1 is a kind of light rail train comfort level evaluating system schematic diagram based on cloud platform of the invention.
Specific embodiment
Light rail train comfort level evaluating system schematic diagram based on cloud platform as shown in Figure 1, including data acquisition module,
Cloud platform module, mobile phone A pp module.
Data acquisition module as shown in Figure 1 includes mobile phone and Intelligent bracelet two large divisions, and interior of mobile phone includes acceleration
Sensor, light sensor, GPS, microphone；It include heart rate sensor, blood oxygen transducer, blood pressure sensor, body inside bracelet
Temperature sensor, EGC sensor, Temperature Humidity Sensor, baroceptor；Can manual adjustment data frequency acquisition；Pass through
Android application framework obtains mobile phone inner sensor data, the steps include: monitor customized first, realizes sensor
Monitor interface communication monitors the value of sensor measurement in real time；Secondly the sensor tube in Android application framework is obtained
Manage device；Each sensing data is obtained finally by sensor manager, and respectively each sensor registers monitor；Data
Cloud platform is uploaded to by Network Communication Framework after acquisition.
Cloud platform shown in FIG. 1 can realize data collecting module collected to data preparation, data analysis, comfort level comments
It surveys, comfort level prediction；Data preparation is to carry out offset plus-minus to collected initial data, unit replacement, delete invalid number
According to；Data analysis include acceleration analysis, light intensity analysis, temperature and humidity analysis, gas pressure analysis, heart rate analysis, blood oxygen analysis,
Analysis of blood pressure, body temperature analysis, ecg analysis etc.；By taking acceleration analysis as an example, respectively by tri- number of axle of xyz according to respectively when frequency-domain analysis
It carries out Fourier transformation and obtains plural number, then plural number and conjugation complex multiplication are obtained into real number, according to frequency location, to the reality
Number carries out numerical weighted, brings the virtual value that three direction numerical weighteds obtain into normalized form and obtains comfortable sex index N；Comfortably
Degree evaluation and test is that the result for obtaining time and frequency domain analysis is compared with standard parameter section, obtains comfort result；Comfort level is commented
Mobile phone A pp module is returned result to after survey, collected data and evaluation result are all stored in cloud platform, are used for comfort level
Prediction；Based on the mapping relations between measurement data, cloud platform construct based on deep learning frame can supervised machine learning
Model, using TensorFlow training neural network, after the training by largely evaluating and testing data and result, neural network can be autonomous
Ground, which is realized, predicts the comfort level of each website of light rail train, and is transmitted to mobile phone A pp module by wireless communication.
Mobile phone A pp module shown in FIG. 1 be used to show passenger can intuitivism apprehension evaluation result image, including comfortably write music
Line chart, comfort level prognostic chart, Human Physiology index curve graph, human health report four parts；Comfort curve figure includes again
Two kinds: the comfort level evaluation and test figure of single mode data, the comfort level of integrated data evaluate and test figure；The comfort level prognostic chart of single mode data
It is only to be depicted as discounting by the comfortable angle value of the single modes data such as acceleration, light intensity, noise intensity, temperature, humidity, air pressure
Figure；The comfort level evaluation and test figure of integrated data is to be analyzed all aggregation of data based on light rail train comfort of passenger evaluation criterion
The comfortable angle value obtained is plotted as histogram, and x-axis indicates the site location that the light rail train determined based on GPS is passed through, and y-axis will be every
All analysis results of a website are averaged, and the average comfort level of each website, z-axis detailed table in the form of line chart are drawn
Show all evaluation results of each website；Comfort level prognostic chart is that the following comfort level of website each in light rail train route becomes
Gesture drafting pattern；Human Physiology index curve graph is based on human healths related datas such as heart rate, blood oxygen, blood pressure, body temperature, electrocardios
The figure line being depicted as；Human health report is the human health report generated based on light rail train passenger's health assessment method；Gently
One station of the every operation of rail train, the data of sliver will all update；From uncomfortable to being by three kinds of red, yellow, and green as snug as a bug in a rug in figure
Color indicates that red indicates that the train of the website and external environment cause passenger to generate discomfort, and yellow indicates the website
Train and external environment make passenger generate comfort, and green indicates that the train of the website makes passenger feel to relax very much with external environment
It is suitable.
The railway Comfortability of Train evaluation criterion that cloud platform shown in Fig. 1 uses is vibration data (acceleration, acceleration
Change rate, vibration frequency) with reference to domestic and international rail truck comfort criterion GB5599-85 and UIC513 progress time domain and frequency domain point
Analysis, vibration amplitude X is acquired according to the 3-axis acceleration under sitting posture, and is multiplied with its conjugate complex number X ', to XX ' progress 0.4~
After the weighting of 80Hz, comfortable sex index N under light rail train passenger sitting posture is calculated1Range；According to the 3-axis acceleration under stance
Vibration amplitude X is acquired, and is multiplied with its conjugate complex number X ', after the weighting that 0.4~80Hz is carried out to XX ', light rail train is calculated and multiplies
Comfortable sex index N under passenger station's appearance2Range；Environmental data (temperature, humidity, air pressure, noise, light intensity) is according to amenity
Scale standard is graded, and human body physiological data (heart rate, blood oxygen, blood pressure, body temperature, electrocardio) is according to Human Physiology Comfort Evaluation amount
Table is evaluated, and comfort level different brackets and score value are assigned, as snug as a bug in a rug (1 point), comfortable (0.5 point), uncomfortable (0 point)；Only
There is an index Comfort Evaluation uncomfortable, total Comfort Evaluation result is then uncomfortable (0 point), and full marks 20 divide, if often
It is all comfortable, then total comfort level result can be further divided into (being greater than 18 points), comfortable (14-18 points), uncomfortable as snug as a bug in a rug
(less than 14 points) three grades；Specific each parameter evaluation table is as follows:
Light rail train passenger's health assessment method that cloud platform shown in Fig. 1 uses are as follows: according to HR values location, sentence
Determining passenger's heart rate measurements result is excellent, good, poor；According to blood pressure values location, determine passenger's blood pressure evaluation result be it is excellent,
It is good, poor；According to blood oxygen saturation numerical value location, determine that passenger's blood oxygen saturation evaluation result is excellent, good, poor；According to body
Warm numerical value location determines that passenger's body temperature evaluation result is excellent, good, poor；According to model where the time of wave band each in electrocardiogram
It encloses, determines that passenger's electrocardiogram is excellent, poor；Passenger's health different brackets is assigned with score value, excellent (1 point), good (0.5 point), poor (0
Point)；As long as have an index health assessment be it is poor, the total health assessment result of passenger is poor (0 point), and full marks 12 divide；If every
Item is all normal, then total health assessment result can be further divided into excellent (being greater than 10 points), good (8-10 points), poor (less than 8 points) three
A grade；If total health assessment result be it is poor, will give song vibration warning automatically, display module also provide text warn and
Bright light is reminded；Specific each metrics evaluation table is as follows:
Specific embodiment
Passenger prepares to take light rail train before travel, opens App and checks that the recent comfort inside of each website of certain number line is commented
The comfort level variation tendency image of altimetric image and prediction, if current site future a period of time comfort inside is good, passenger is
It can continue to take light rail train in the website, other websites otherwise can be gone to change to；Passenger dresses bracelet and mobile phone enters in compartment,
Bluetooth is opened, is bracelet and mobile communication；Train brings into operation, and passenger, which clicks " sensing data ", can check that mobile phone and bracelet pass
The real time data of sensor acquisition clicks " uploading in real time " button, sensor total data is uploaded to cloud platform, cloud platform is real-time
Data are analyzed, passenger checks oneself current single mode data comfort chart picture for taking website, comprehensive comfort level by mobile phone A pp
Image, Human Physiology index curve graph, human health report；Single mode data comfort chart picture is clicked, can check oneself
The comfort chart picture in real time such as light rail brief acceleration, light intensity, noise intensity, temperature and humidity, air pressure is taken, such as clicks and accelerates
The change curve of the change curve of acceleration and corresponding comfort level in a period of time can be seen in degree comfort chart picture；Click comprehensive relax
The comfort chart picture after all aggregation of data analyses can be seen in appropriate image；Clicking Human Physiology index curve graph can be seen oneself
The real time datas figure lines such as heart rate, blood oxygen, blood pressure, body temperature, electrocardio when taking light rail；Human health report is clicked, can be seen
To at no distant date take light rail when health status；After passenger arrives at a station, closing hand phone App.
Basic principle of the invention, implementation process and advantages of the present invention has been shown and described above；The technology of the industry
Personnel are it should be appreciated that the present invention is not limited to the above embodiments, without departing from the spirit and scope of the present invention, this hair
Bright to will also have various changes and improvements, these changes and improvements all fall within the protetion scope of the claimed invention；The present invention claims
Protection scope is defined by the appending claims and its equivalent thereof.
Claims (6)
1. the invention discloses a kind of light rail train comfort level evaluating system based on cloud platform, structure includes data acquisition module
Block, cloud platform, mobile phone A pp module；Data acquisition module includes mobile phone and Intelligent bracelet two large divisions；Pass through mobile phone and intelligent hand
The multi-modal number such as environmental information and physiology signal in sensor acquisition light rail train compartment vibration signal, compartment built in ring
According to, be uploaded to cloud platform, and based on light rail train comfort of passenger evaluation criterion with passenger's health assessment standard to collected
Data carry out cloud computing, and it is each can to evaluate in real time light rail train by evaluation result real-time display in mobile phone A pp module comprehensively
Operating condition, passenger comfort and the health status of website；Collected data are excavated by deep learning method, it can be pre- in real time
The comfort level trend for surveying each website of light rail train, provides travel information and health service for passenger.
2. data acquisition module according to claim 1 includes GPS, acceleration transducer, light sensor in mobile phone
With microphone, the baroceptor of Intelligent bracelet, Temperature Humidity Sensor, heart rate sensor, blood oxygen transducer, blood pressure sensor,
Body temperature transducer, EGC sensor, can acquire in real time light rail train vibration data (frequency and amplitude), travel position and track,
Temperature and humidity, light intensity, air pressure and noise intensity and passenger's heart rate, blood oxygen, blood pressure, body in velocity and acceleration, compartment
Temperature, electrocardio variation.
3. cloud platform according to claim 1 obtains and save the data that data collecting module collected arrives, based on evaluation mark
Standard carries out time-frequency domain processing and analysis to multi-modal data, and the comprehensive evaluation result of one-parameter evaluation result and multi-parameter is stored
To database, and it is transferred to mobile phone A pp by wireless communication and shows；Acceleration time domain analysis is without calculating, directly and accordingly
Judgment criteria is compared；The acceleration of x-axis in time-domain analysis is carried out Fourier transformation, then passed through by acceleration frequency-domain analysis
Numerical weighted is crossed, according to sitting comfort judgement schematicsObtain comfortable sex index
N compares standard section and obtains Comfort Evaluation result；Temperature and humidity analysis, light intensity analysis, noise intensity analysis, heart rate point
Analysis, blood oxygen analysis, analysis of blood pressure, body temperature analysis are all directly to compare to obtain comfort level result with standard section；When gas pressure analysis
, again divided by 0.8, the absolute value of air pressure change rate will be finally obtained after barometric information derivation；Ecg analysis, which uses, is based on intensive convolution
The automatic diagnosis algorithm of the electrocardio of network is made using a series of technologies such as subchannel convolutional coding structure, data framing and data enhancings
The validity that electrocardio diagnoses automatically is optimized；It is because port number is more using subchannel convolutional coding structure；Framing method formula
For Fs=(Sl-Fl)/(Fn-1), wherein Sl is signal length (Signal length), and Fn is frame number (Frame number),
Fs is that frame moves (Frame shift), i.e. the overlapping degree of frame and frame；Data enhancing is for data nonbalance, by data category
It is appended to equilibrium state；By all parameter weightings after analysis, summation, provide light rail train comfort of passenger and health
Thoroughly evaluating for the monitoring of light rail train operation problem and human health status tracking as a result, can also provide data and support.
4. mobile phone A pp module according to claim 1 includes four parts: comfort curve figure, comfort level prognostic chart, people
Body physical signs curve graph, human health report；Based on cloud computing, single mode parameter comfort level can be commented in cell phone terminal
The synthesis Comfort Evaluation result of valence result and multi-modal parameter is depicted as 3 dimensional drawing, and x-axis is the light rail determined based on GPS
Train website, y-axis indicate the average comfort level of each website, and the form of z-axis line chart indicates that each website is multiple in detail
Evaluation result；Also single evaluation result is depicted as line chart, including based on acceleration, light intensity, noise intensity, air pressure,
The Time-Frequency Analysis of the signals such as temperature and humidity, heart rate, blood oxygen, blood pressure, body temperature, electrocardio is as a result, and establish and light rail train comfort level
Evaluation result, the mapping relations of human health status, height visually provide comprehensive light rail train passenger comfort and health
Status evaluation result；From uncomfortable to being by three kinds of colors expressions of red, yellow, and green as snug as a bug in a rug in figure, red indicates the website
Train and external environment cause passenger to generate discomfort, and yellow indicates that the train of the website and external environment generate passenger and relax
Suitable sense, green indicate that the train of the website and external environment feel that passenger as snug as a bug in a rug；Comfort level prognostic chart is based on measurement
Mapping relations between data, cloud platform construct based on deep learning frame can supervised machine learning model, use
TensorFlow trains neural network, and after the training by largely evaluating and testing data and result, neural network can be realized automatically pair
The comfort level of each website of light rail train is predicted, prediction result is transmitted in mobile phone A pp module and is shown.
5. light rail train comfort of passenger evaluation criterion according to claim 1 are as follows: when according to train starting and braking
Acceleration value location, determine acceleration time domain be as snug as a bug in a rug, comfortably, it is uncomfortable；Accelerated according to three axis under sitting posture
Degree acquires vibration amplitude X and is multiplied with its conjugate complex number X ', calculates comfortable sex index N after the weighting of 0.4 ~ 80Hz is carried out to XX '1
Range, determine sitting posture under acceleration frequency domain be as snug as a bug in a rug, comfortably, it is uncomfortable；It is acquired according to the 3-axis acceleration under stance
Vibration amplitude X is simultaneously multiplied with its conjugate complex number X ', after the weighting that 0.4 ~ 80Hz is carried out to XX ', calculates comfortable sex index N2Model
Enclose, determine stance under acceleration frequency domain be as snug as a bug in a rug, comfortably, it is uncomfortable；According to light intensity numerical value location, vehicle is determined
In compartment light intensity be as snug as a bug in a rug, comfortably, it is uncomfortable；According to the range where air pressure change rate, determine that air pressure is in compartment
As snug as a bug in a rug, uncomfortable；According to the range where temperature value, determine in compartment temperature be as snug as a bug in a rug, comfortably, it is uncomfortable；
According to the range where humidity, determine in compartment humidity be as snug as a bug in a rug, comfortably, it is uncomfortable；According to changes in heart rate numerical value
The range at place, determine passenger's heart rate be as snug as a bug in a rug, comfortably, it is uncomfortable；According to the range where noise figure, compartment is determined
Interior noise intensity be as snug as a bug in a rug, comfortably, it is uncomfortable；According to blood pressure values location, determine passenger's blood pressure be as snug as a bug in a rug,
Comfortably, uncomfortable；According to blood oxygen saturation numerical value location, determine that passenger's blood oxygen saturation is not relax as snug as a bug in a rug, comfortably,
It is suitable；According to body temperature numerical value location, determine passenger's body temperature be as snug as a bug in a rug, comfortably, it is uncomfortable；According to wave each in electrocardiogram
Time interval whether in standard time interval, determine passenger's electrocardio comfort level be as snug as a bug in a rug, it is uncomfortable；It relaxes in addition, assigning
Appropriate different brackets and score value, as snug as a bug in a rug (1 point), comfortable (0.5 point), uncomfortable (0 point)；As long as there is an index comfort level
Evaluate uncomfortable, total Comfort Evaluation result is then uncomfortable (0 point), and full marks 20 divide, can be by light rail if each is all comfortable
The result of the total comfort level of train passenger be further divided into as snug as a bug in a rug (be greater than 18 points), comfortable (14-18 points), uncomfortable (be less than
14 points) three grades；Specific each metrics evaluation table is as follows:
。
6. light rail train passenger health assessment standard according to claim 1 is: according to HR values location, determining
Passenger's heart rate measurements result is excellent, good, poor；According to blood pressure values location, determine passenger's blood pressure evaluation result be it is excellent, good,
Difference；According to blood oxygen saturation numerical value location, determine that passenger's blood oxygen saturation evaluation result is excellent, good, poor；According to body temperature number
It is worth location, determines that passenger's body temperature evaluation result is excellent, good, poor；According to the time location of wave band each in electrocardiogram, sentence
It is excellent, poor for determining passenger's electrocardiogram；Passenger's health different brackets is assigned with score value, excellent (1 point), good (0.5 point), poor (0 point)；As long as
Have an index health assessment be it is poor, the total health assessment result of passenger is then poor (0 point), and full marks 12 divide；If each is all normal,
Total health assessment result can be then further divided into excellent (being greater than 10 points), good (8-10 points), poor (less than 8 points) three grades；Such as
The total health assessment result of fruit light rail train passenger be it is poor, bracelet will give song vibration automatically and alert, and display module also provides text
Word warning and bright light are reminded；Specific each metrics evaluation table is as follows:
。
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| CN110198354A (en) * | 2019-06-01 | 2019-09-03 | 郑州大学 | A kind of passenger on public transport comfort based on smart phone and cloud platform and healthy evaluating system |
| CN111044303A (en) * | 2020-01-02 | 2020-04-21 | 中车株洲电力机车有限公司 | Diagnosis method and device for abnormal vibration of passenger room of maglev train |
| CN111161878A (en) * | 2020-01-20 | 2020-05-15 | 南京大学 | Human body physiological and psychological high-temperature adaptive threshold value test system |
| CN112353393A (en) * | 2020-11-09 | 2021-02-12 | 清华大学 | Intelligent driving automobile passenger state detection system |
| CN112353393B (en) * | 2020-11-09 | 2022-03-22 | 清华大学 | Intelligent driving automobile passenger state detection system |
| CN112948751A (en) * | 2021-03-05 | 2021-06-11 | 成都天佑路航轨道交通科技有限公司 | Dynamic comprehensive comfort evaluation method and device, electronic equipment and storage medium |
| CN113370984A (en) * | 2021-06-30 | 2021-09-10 | 中国科学技术大学先进技术研究院 | Multi-index-based comprehensive evaluation method and system for comfort of automatic driving vehicle |
| CN114145720A (en) * | 2021-12-03 | 2022-03-08 | 中南大学 | Train HVAC control system and method based on wearable equipment |
| CN115240419A (en) * | 2022-07-22 | 2022-10-25 | 重庆交通大学 | Method for determining acceleration lane of intelligent networked vehicle under ultrahigh-speed working condition |
| CN115240419B (en) * | 2022-07-22 | 2023-05-23 | 重庆交通大学 | Method for determining acceleration lane of intelligent network-connected vehicle under ultra-high speed working condition |
| CN117612328A (en) * | 2023-11-02 | 2024-02-27 | 深圳市腾进达信息技术有限公司 | Human health condition early warning method and system based on intelligent wearing |
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Application publication date: 20190531 |