CN102928071A - Road traffic noise detecting system and method based on electrocardiographic index - Google Patents

Road traffic noise detecting system and method based on electrocardiographic index Download PDF

Info

Publication number
CN102928071A
CN102928071A CN2012104110586A CN201210411058A CN102928071A CN 102928071 A CN102928071 A CN 102928071A CN 2012104110586 A CN2012104110586 A CN 2012104110586A CN 201210411058 A CN201210411058 A CN 201210411058A CN 102928071 A CN102928071 A CN 102928071A
Authority
CN
China
Prior art keywords
noise
road traffic
traffic noise
data
playback
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2012104110586A
Other languages
Chinese (zh)
Other versions
CN102928071B (en
Inventor
王书云
孙福梓
杨志信
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Municipal Engineering Research Institute
Original Assignee
Beijing Municipal Engineering Research Institute
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Municipal Engineering Research Institute filed Critical Beijing Municipal Engineering Research Institute
Priority to CN201210411058.6A priority Critical patent/CN102928071B/en
Publication of CN102928071A publication Critical patent/CN102928071A/en
Application granted granted Critical
Publication of CN102928071B publication Critical patent/CN102928071B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)

Abstract

The invention discloses a road traffic noise detecting system and method based on an electrocardiographic index. The road traffic noise detecting method comprises the following steps of: establishing a road traffic noise evaluation characteristic information detecting system; establishing the road traffic noise detecting system based on the electrocardiographic index and a method model; and using the road traffic noise evaluation characteristic information detecting system and a calculation model, so as to determine an urban road traffic noise sound pressure level through data analysis. Compared with the conventional subjective qualitative evaluation method, the road traffic noise detecting method based on the electrocardiographic index disclosed by the invention can more objectively and qualitatively describe the influence of road traffic noise on human bodies because the method is built on the basis of tests of the influences of traffic noise on psychology and physiology of human bodies, so that the influence degree of the noise on the human health can be actually reflected.

Description

Road traffic noise detection system and method based on electrocardiographicdata data
Technical field
The invention belongs to road traffic noise detection technique field, relate to particularly road traffic noise detection system and method based on electrocardiographicdata data.
Background technology
At present, urban environment noise pollutes has become the important environmental protection problem that the big city, countries in the world faces.Along with the quick propelling of urban industry process, traffic noise becomes the chief component of city noise gradually.Noise pollution has had a strong impact on people's normal operation, study and rest, and the first place that noise pollution complains event number to occupy all kinds of environmental pollution contentious matters has always directly affected social stability and social normal order.
Human body suffers noise, can produce the discomfort of psychology, physiological status, and these discomfort are divided into the in short-term irrecoverable two kinds of situations that may cause to human body potential hazard that reach that can recover in short-term.It is the hommization index of evaluation path, traffic and environmental safety that human body is differentiated without the noise of potential impact, by the judgement to safe noise, can analyze and estimate the degree that road traffic noise affects human body from people body-centered physiological angle, to construction and the management of perfect road, traffic, environment, reduce road traffic noise significant.
So far, research about the traffic noise on urban roads evaluation, mainly contain following characteristics: (1) is many from questionnaire about the road traffic noise Appraising Methods both at home and abroad, the noise social investigation is difficult to handle noise exposure flux and makes it need to change according to our research, also is not easy to make tested activity, expectation or attitude level to keep identical state simultaneously.Simultaneously, the subject is subjected to the impact of the factors such as self economic situation, heart physiological situation, political culture background, living environment, and the subjective response of same noise situation is differed greatly.So road traffic noise evaluation method and evaluation index based on noise dose~reaction relation characteristic, be mainly conceptual and discussion reasoning, there are not relevant subject's heart Physiological Experiment data to support, lack enough theoretical foundation, easily cause existing road traffic noise assessment index and human health status not to be inconsistent, have healthy hidden danger.(2) domestic and international medical circle has begun to inquire into the relation based between subject's electrocardiographicdata data and road traffic noise dosage, but the discussion of this research only limits to medical pathologies research at present, aspect the evaluation method of road traffic noise, not yet systematic research and achievement.
Therefore, although at present both at home and abroad at the psycho-acoustic criterion of having formulated comparatively perfect aspect the road noise evaluation, but the establishment of present noise threshold lacks enough rationales, because present threshold value of traffic noise determines that method is generally from the subjective response of human body, formulate with reference to the problem develop of questionnaire, do not have the tested personnel's of objective consideration heart physical signs characteristic.Although tested personnel's objective heart physical signs has been considered in the pathological research field to a certain extent, its purpose only limits to the pathological study of noise on human body, does not have systematic science data to can be used to support the foundation of noise threshold.
Thereby whether the noise control measures that utilizes present road traffic noise evaluation criterion to formulate meets the heart physiological property of human body and the security of health, there is no experimental data and is explained.Because present psycho-acoustic criterion and the impression of the heart physiology of human body are isolated and come, whether road traffic noise evaluation method and the standard formulated at present be reasonable, lacks the objective appraisal standard.
Although a lot of countries and scientific research institution all propose to disturb the noise threshold of sleeping, having a rest on the basis of questionnaire, and also successfully set up the relation of noise effect people body-centered physical signs in the medical domain, but aspect the road traffic noise evaluation of subject's heart physiological property, almost do not related to.
Summary of the invention
Problem to be solved by this invention provides a kind of road traffic noise based on people body-centered physical signs that can the objective evaluation road traffic noise and estimates computing method, whether the road traffic noise evaluation method and the standard that are intended to solve present formulation be reasonable, lacks the problem of objective appraisal standard.
The present invention is achieved in that
A kind of road traffic noise detection system based on electrocardiographicdata data is characterized in that, comprising:
Site road traffic noise signal acquiring system is used for the collection site road traffic noise;
Indoor road traffic noise signal playback and detection system are used for to tested personnel's test process, the traffic noise that gathers at the described site road traffic noise of indoor playback signal acquiring system, and detect the noise sound of described playback noise;
Tested personnel's heart Physiological Signal Acquiring System, be used for gathering described tested personnel before test heart physiological data and at the heart physiological data of the test process of described indoor road traffic noise signal playback and the described traffic noise of detection system playback;
Data handling system, the noise sound data that are used for the playback noise that detects according to the tested personnel's of described tested personnel's heart Physiological Signal Acquiring System collection heart physiological data and described indoor road traffic noise signal playback and acquisition system are processed calculating, estimate and determine to affect the road traffic noise sound pressure level of human body.
Described site road traffic noise signal acquiring system comprises precision sound level meter and the high-fidelity sound pick-up outfit that is connected with described precision sound level meter.
Described indoor road traffic noise signal playback and detection system comprise noise signal playback unit and playback noise signal sound pressure level detecting unit; Described noise signal playback unit comprises high-fidelity sound pick-up outfit and high-fidelity audio equipment; Described playback noise signal sound pressure level detecting unit is precision sound level meter.
Described tested personnel's heart Physiological Signal Acquiring System adopts multi-functional dynamic physiology detector.
Described data handling system is the computing machine that is built-in with Data Management Analysis software.
A kind of road traffic noise detection method based on electrocardiographicdata data may further comprise the steps:
1) makes up road traffic noise evaluating characteristic information detecting system
Described road traffic noise evaluating characteristic information detecting system comprises:
Site road traffic noise signal acquiring system is used for gathering a traffic noise on urban roads signal as the noise signal of carrying out indoor human body heart physiological test; Indoor road traffic noise signal playback system, the traffic noise signal that is used for the collection of the described site road traffic noise of reproduction true to nature signal acquiring system carries out indoor human body heart physiological test; People body-centered physiology test macro is used for real-time synchronization and obtains tested personnel's body fatigue resistance, heart rate, breathing, body temperature and indoor playback road traffic noise sound pressure level;
2) by screening and analysis to road traffic noise safety evaluation detecting information, set up the road traffic noise evaluation model based on people body-centered physical signs; May further comprise the steps:
Time series to people body-centered physical signs and noise objective is carried out cross-correlation analysis one by one, chooses electrocardiographicdata data LF/HF and the noise objective L of degree of correlation maximum AeqCharacteristic index as road traffic noise evaluation calculating;
Human body electrocardio index LF/HF time series under the different noise levels is carried out autocorrelation analysis, obtain the road traffic noise sound pressure level to the rule that electrocardiographicdata data LF/HF exerts an influence, obtain the scatter diagram that the coefficient of autocorrelation decay postpones issue and noise sound;
Described scatter diagram is carried out fitting a straight line, obtain the relation between human body electrocardio index LF/HF time series coefficient of autocorrelation delay issue and noise sound, set up the computation model between described coefficient of autocorrelation decay delay issue and noise sound;
3) use road traffic noise evaluating characteristic information detecting system, gather the traffic noise on urban roads signal and carry out synchronously people body-centered physiological test in indoor playback, the noise objective L of the tested personnel's of real time record electrocardiographicdata data LF/HF and playback noise (comprise indoor ground unrest, the traffic noise sound pressure level need exceed more than the ground unrest sound pressure level 10dB) AeqAccording to described computation model, by the data analysis of large sample amount, thereby determine described traffic noise on urban roads sound pressure level.
Described people body-centered physiology test macro is comprised of multi-functional dynamic physiology detector and noise meter.
Described site road traffic noise signal acquiring system is comprised of BK 2250 precision sound level meters and Noise Acquisition device.
Described indoor road traffic noise signal playback system is by noise player and high-fidelity music center installation composition.
Described computation model comprises:
Be applicable to the first computation model that the clear-headed or shallow state of sleeping uses: K=0.3288N-2.1168, and
Be applicable to the second computation model that the state of sleeping soundly uses: K=0.2135N-0.906;
K-coefficient of autocorrelation decay postpones issue, N-road traffic noise sound pressure level.
The present invention is by a whole set of road traffic noise data acquisition coupled system collection and with the somatic data and the road traffic noise Data Integration that gather, process calculating, and then evaluation determines to affect the road traffic noise sound pressure level of human body, thereby realized road traffic noise than objective appraisal, having solved does not have a cover to can be applicable to road at present, the complete again problem of objective road traffic noise detecting and assessing system in traffic and the safety engineering field, owing to the present invention is based on the noise sound that people body-centered physical signs detects the evaluation path traffic noise, thereby its evaluation result is relatively objective, accurately.
The present invention is by making up and use road traffic noise evaluating characteristic information detecting system, gather the traffic noise on urban roads signal in indoor playback, and carry out synchronously people body-centered physiological test, the tested personnel's of real time record electrocardiographicdata data LF/HF and the noise objective L of playback noise AeqAccording to calculating by the road traffic noise evaluation model based on people body-centered physical signs that screening and the analysis of road traffic noise safety evaluation detecting information are set up, and by large capacity sample data analysis, determine the traffic noise on urban roads sound pressure level.Based on the road traffic noise evaluation method of heart physical signs owing to being to be based upon on the physiological test basis, impact of traffic noise people body-centered, compare with present subjective qualitative evaluating method, road traffic noise is described to the impact of human body in objective quantitative ground more, reflects more truly the influence degree of noise on human body health.
Description of drawings
Fig. 1 is that the road traffic noise safety evaluation multi-channel information that the embodiment of the invention provides obtains schematic diagram;
Fig. 2 is that integrated information is obtained schematic diagram in the road traffic noise safety evaluation shop experiment process that provides of the embodiment of the invention;
Fig. 3 is human body the coefficient of autocorrelation decay postpones issue and noise sound under clear-headed or the shallow state of sleeping scatter diagram and the fitting a straight line figure that the embodiment of the invention provides;
Fig. 4 is human body the coefficient of autocorrelation decay postpones issue and noise sound under the state of sleeping soundly scatter diagram and the fitting a straight line figure that the embodiment of the invention provides.
Fig. 5 is the systematic schematic diagram that the embodiment of the invention provides;
Fig. 6 is the process flow diagram of the test process that provides of system embodiment of the present invention:
Fig. 7 is the layout schematic diagram of the work space build-in test equipment of the noise testing that provides of system embodiment of the present invention;
Fig. 8 is the layout schematic diagram of the sleep space build-in test equipment of the noise testing that provides of system embodiment of the present invention;
Fig. 9 is the coupled structure schematic diagram of checkout equipment in the test process that provides of system embodiment of the present invention.
Among the figure: 1, noise meter, 2, sound-track engraving apparatus, 3, the sound equipment power amplifying device, 4, tested personnel.
Embodiment
In order to make purpose of the present invention, technical scheme and advantage clearer, below in conjunction with accompanying drawing, the present invention is further elaborated.
The present invention is by the fusion of the synchronous acquisition of human body information affected by noise, multidimensional information and screening, determines the noise objective L of accurate description noise effect people body-centered physiological relation Aeq, pass through different noise sound L again AeqLower heart physical signs LF/HF time series is carried out autocorrelation analysis, determines the evaluation model to noise on human body influence degree, finally determines the noise rating standard according to model.
By heart physiological theory as can be known, human body can reflect by physical signs the psychoreaction of noise, referring to shown in Figure 1, the present invention just is being based on this, according to engineering physiology, road traffic noise is theoretical, Time-series Theory, in conjunction with tested personnel's cognitive process, by site road traffic noise signals collecting, then based on people body-centered physiology dynamic test system platform, road traffic noise in indoor playback collection, by gathering indoor coupled noise, synchronously, moving by the tested personnel's of multi-functional dynamic physiology detector body in real time, body temperature, breathe (rate), the heart physiological reaction data such as electrocardio (dirty) data, thereby acquire road traffic noise safety evaluation information by hyperchannel, and set up accordingly the road traffic noise evaluation model based on heart physical signs, then determine to affect the green route traffic noise sound pressure level of human body according to this module.
Referring to shown in Figure 2, the figure shows the method that integrated information is obtained in the road traffic noise safety evaluation shop experiment process that the invention provides.The present invention is by a large amount of indoor and outdoor tests, according to above-mentioned relevant theoretical analysis, merge, screen indoor coupled noise, comprise playback road traffic noise and ground unrest, and the physiological concrete measurement index in noise effect people body-centered, such as body temperature, position, respiratory rate, electrocardio, obtain road traffic noise safety evaluation information
The present invention is by the fusion of the synchronous acquisition of human body multidimensional information affected by noise, multidimensional information and screening, but determines the noise objective L of accurate description noise effect people body-centered physiological relation AeqWith heart physical signs LF/HF, by the statistical study of large capacity sample data, set up the green route threshold value of traffic noise again.
The present invention is achieved in that road traffic noise detection system and the method based on electrocardiographicdata data, may further comprise the steps:
1) structure is based on the road traffic noise evaluating characteristic information detecting system of people body-centered physical signs
Described road traffic noise evaluating characteristic information detecting system based on people body-centered physical signs comprises:
Site road traffic noise signal acquiring system is used for gathering the traffic noise on urban roads signal as the noise signal of carrying out indoor human body heart physiological test; Indoor road traffic noise signal playback system, the traffic noise signal that is used for the collection of the described site road traffic noise of reproduction true to nature signal acquiring system carries out indoor human body heart physiological test; People body-centered physiology test macro is used for real-time synchronization and obtains tested personnel's body fatigue resistance, heart rate, breathing, body temperature and indoor playback road traffic noise sound pressure level.
Described site road traffic noise signal acquiring system, should gather the conduct of typical urban road traffic noise signal in order to carry out the noise signal of indoor human body heart physiological test, site road traffic noise signal should be accomplished to reproduce as far as possible realistically by described indoor road traffic noise signal playback system.
2) by screening and analysis to road traffic noise safety evaluation detecting information, set up the road traffic noise evaluation model based on people body-centered physical signs; May further comprise the steps:
S201: the time series to people body-centered physical signs and noise objective is carried out cross-correlation analysis one by one, chooses electrocardiographicdata data LF/HF and the noise objective L of degree of correlation maximum AeqCharacteristic index as road traffic noise evaluation calculating; Comprise heart physical signs, such as position, body temperature, respiratory rate, electrocardiographicdata data, comprise root-mean-square value RMSSD, high frequency HF, low frequency LF, ultralow frequency VLF, low high frequency ratio LF/HF, the low frequency standardized value LF of heart rate HR, adjacent normal R ~ R interval difference NU, high frequency standardized value HF NU, total frequency spectrum TF and noise objective, comprise under the A weighted fast sound level maximal value L AFmax, quick sound level minimum value L under the A weighted AFmin, sound level peak L under the C weighted Cpeak, the continuous sound pressure level L of pulse equivalence AIeq, equivalent continuous A sound level L Aeq, the continuous C sound level L of equivalence CeqTime series carry out one by one cross-correlation analysis, the corresponding index that obtains degree of correlation maximum is: electrocardiographicdata data LF/HF and noise objective L Aeq
Use the SPSS Statistical software system, to noise objective and electrocardiographicdata data cross-correlation analysis, see Table shown in one.
Figure 282238DEST_PATH_IMAGE001
The cross-correlation analysis of noise objective and part heart physical signs sees Table shown in two.
Figure 199379DEST_PATH_IMAGE002
In the above-mentioned table one, two, N representative data sample number; Two-sided test when correlation analysis is carried out in SIG (2-TAILED) representative; GX GZ represent body fatigue resistance (Z axis and X-axis), X represents horizontal direction, Z represents vertical direction.
Among the present invention, described cross-correlation analysis refers to, supposing has two column data A and B.Can not judge relation between two column datas only according to statistical indicators such as mean value, standard deviations.By A and B two column datas are regarded as time series, carry out correlation analysis with the time sequencing theory, the implication relation between two column datas is judged.The related coefficient absolute value is larger, proves that correlativity is better.Be that impact is closer between A, B data sequence.
Described noise objective L AeqRefer in official hour, the A weighted acoustic pressure of a certain continuous steady-state sound, have with the time noise that becomes identical all square A weighted acoustic pressures, then the sound level of this continuous steady-state sound is exactly the equivalent sound level that becomes noise this moment.Unit is shellfish (B), is representation unit with dB usually.
HRV HRV(Heart rate variability) is the index of reflection cardiac sympathetic nerve and vagus nerve activity and balance coordination thereof relation.The analysis indexes of HRV has time domain index and frequency-domain index two classes.
Frequency-domain index commonly used has: 1) total frequency spectrum TF(Total frequency); 2) low frequency LF(Low frequency); 3) high frequency HF(High frequency); 4) ratio of low frequency and high frequency (LF/HF).
HRV frequency-domain analysis index to draw process as follows: first electrocardiosignal is carried out power spectrumanalysis, power spectrum density unit is ms 2/ Hz is then with the measured value of the area integral under the power spectrum curve as the power spectrum energy.The total area of 0~0.4Hz is total frequency spectrum TF, the ms of unit 20.04~0.15Hz frequency band area is low frequency LF, the ms of unit 20.15~0.40Hz frequency band area is high frequency HF, the ms of unit 2The ratio of low-frequency band area and high frequency band area is LF/HF.
Because some are given birth to, psychological variables can be measured under the laboratory environment that condition is accurately controlled comparatively accurately, but under human body natural's waking state and sleep state, because the interference such as change of human body position are difficult to Measurement accuracy, feasibility is not high in actual applications.And electrocardio is less demanding to experimental enviroment, can reflect preferably the impact of noise on human body, therefore in the embodiment of the invention, the characteristic index of selecting electrocardiographicdata data to estimate as road traffic noise.
In the embodiment of the invention, for accurately excavating the relation between noise data and heart data of physiological index, adopt take the normative reference of minute as calculating synchronously.
S202: human body electrocardio index LF/HF time series under the different noise levels is carried out autocorrelation analysis, obtain the road traffic noise sound pressure level to the rule that electrocardiographicdata data LF/HF exerts an influence, obtain the coefficient of autocorrelation decay and postpone issue lags and noise sound L AeqScatter diagram; Its rule is: when raising along with the road traffic noise sound pressure level, LF/HF time series coefficient of autocorrelation diminishes gradually with the decay that postpones issue lags.When human body was in rest state (being the less state of road traffic noise sound pressure level), LF/HF time series coefficient of autocorrelation was very fast with the decay that postpones issue lags, and the LF/HF time series is the short-term auto-correlation, and namely there is not cumulative effect in the noise on human body.Decay when slow with the increase that postpones issue when coefficient of autocorrelation, think that the LF/HF time series is long-term autocorrelation performance; And reduce the road traffic noise sound pressure level this moment, the long-term autocorrelation performance of LF/HF time series still can short-term exist, and its release time is relevant with noise sound size and influence time length, and sound pressure level is larger, and influence time is longer, and release time is longer;
The autocorrelation analysis of LF/HF sees Table shown in three, and take coefficient of autocorrelation 0.5 as critical point, each analysis refers to that all coefficient of autocorrelation decays at 0.5 o'clock and postpones issue in this table.
Figure 979116DEST_PATH_IMAGE003
Among the present invention, described autocorrelation analysis refers to, autocorrelation analysis is the degree of correlation of the same event of tolerance between two different times (cross-correlation analysis be two different event of tolerance influence each other to each other degree).In autocorrelation analysis, different times is with representing 1,2 period of delay ...., etc., this is an abstract time, not free unit.For example the sequence of former data sequence A after through 5 period of delays becomes A5, and the related coefficient of A and A5 is 0.9, illustrate that experience postpones for 5 times after, two column datas are still preserved higher influence degree, namely relation remains unchanged close.The present invention utilizes this principle, and the LF/HF time series under the different sound pressure levels is carried out autocorrelation analysis, judges the Changing Pattern that coefficient of autocorrelation increased with period of delay.As shown in Table 3, the horizontal line that * number forms among the figure represents the related coefficient size, and lags represents period of delay.Be 1 o'clock period of delay, and coefficient of autocorrelation is near .983, and be 2 o'clock period of delay, and coefficient of autocorrelation is near .955 (first two columns data).
S203: described scatter diagram is carried out fitting a straight line, obtain the relation between human body electrocardio index LF/HF time series coefficient of autocorrelation delay issue and noise sound, set up the computation model between described coefficient of autocorrelation decay delay issue and noise sound.
In the embodiment of the invention, utilize above-mentioned analytical approach, respectively human body human body electrocardio index LF/HF time series under the different noise levels under clear-headed or the shallow state of sleeping is carried out autocorrelation analysis, obtain scatter diagram and fitting a straight line figure that the coefficient of autocorrelation decay of human body under clear-headed or the shallow state of sleeping postpones issue and noise sound, as shown in Figure 3.
Human body human body electrocardio index LF/HF time series under the different noise levels under the ripe awake state is carried out autocorrelation analysis, obtain scatter diagram and fitting a straight line figure that the coefficient of autocorrelation decay of human body under the state of sleeping soundly postpones issue and noise sound; As shown in Figure 4.
Described computation model comprises:
Be applicable to the first computation model that the clear-headed or shallow state of sleeping uses: K=0.3288N-2.1168, and be applicable to the second computation model that the state of sleeping soundly uses: K=0.2135N-0.906; K-coefficient of autocorrelation decay postpones issue, N-road traffic noise sound pressure level.
3) use road traffic noise evaluating characteristic information detecting system, gather a traffic noise on urban roads signal and carry out synchronously people body-centered physiological test in indoor playback, the tested personnel's of real time record electrocardiographicdata data LF/HF and the noise objective L of playback noise AeqAccording to described computation model, by the data analysis of large sample amount, thereby determine described traffic noise on urban roads sound pressure level.
By above method, the present invention determines the quiet road traffic noise sound pressure level of human body sensory (L Aeq≤ 27dB), feel more quiet road traffic noise sound pressure level (27dB<L Aeq<43dB), human body had a road traffic noise sound pressure level (L of potential impact Aeq〉=43dB).
Figure 2012104110586100002DEST_PATH_IMAGE001
Because the variation of people body-centered, physical signs is subjected to various factors, therefore, evaluation result is more accurate in order to make, science, is set up the following factor of consideration in tested personnel selection and laboratory cloth:
Tested personnel satisfy different sexes, age bracket requirement, and are healthy, are not in the mood for popular name for, are emotionally stable, and condition comparatively easily loosens; Tested personnel's routine work, recreating facility selected in the laboratory, eliminates strange experimental enviroment to its heart physical signs impact.
In the embodiment of the invention, described people body-centered physiology test macro is comprised of the multi-functional dynamic physiology detector of KF2 and noise meter.Described KF2 multi-functional dynamic physiology detector has been included the function of the moving instrument of body, electrocardiogram equipment, respirometer, four instruments of thermometer.Described site road traffic noise signal acquiring system is comprised of BK 2250 precision sound level meters and Noise Acquisition device (high-fidelity sound pick-up outfit).Described indoor road traffic noise signal playback system is by noise player (high-fidelity sound pick-up outfit) and high-fidelity music center installation composition.
Described BK 2250 precision sound level meters, the 120dB dynamic range guarantees to measure in range ability.3Hz-20kHz wide-band linearity frequency range, 1/1 and the real-time acoustic pressure analysis of third-octave bandwidth.
Described noise player and Noise Acquisition device are selected the professional recording machine.
Described high-fidelity music center device adopts Hi-Fi power amplifier stereo set, and frequency response is 20Hz-20kHz, and distortion rate is less than 1%, signal to noise ratio (S/N ratio) 〉=100dB.
Application example:The tested personnel of certain women, 42 years old, readme was insensitive to road traffic noise.It by the inventive method test, is obtained noise data and electrocardiogram (ECG) data under this women's waking state, such as table five, six.
Figure 126380DEST_PATH_IMAGE005
Figure DEST_PATH_121984DEST_PATH_IMAGE006
By the described computation model of the inventive method, calculating noise is to human influence's degree:
L AeqWhen mean value is 68.5dBA, K=0.3288N-2.1168=20.406,
L AeqWhen mean value is 25.5dBA, K=0.3288N-2.1168=6.268,
L AeqWhen mean value is 35.7dBA, K=0.3288N-2.1168=9.621.
Referring to shown in the table seven, this table seven is that these tested personnel are subjected to the LF/HF autocorrelation analysis figure of road traffic noise under affecting.
Actual tests data by above-mentioned acquisition are carried out correlation analysis, from described autocorrelation analysis figure (table seven), check in corresponding coefficient of autocorrelation and be period of delay of 0.5 as follows:
(1), works as L AeqWhen mean value was 35.7dBA, coefficient of autocorrelation decayed to 0.5, and be the 9.42(interpolation period of delay), see Table shown in eight.
Figure 352459DEST_PATH_IMAGE009
(2) (checking 3S recovers) L AeqWhen reducing to 30dBA from 35.7dBA, get data analysis in the 3S, be the 7.178(interpolation period of delay), see Table nine,
Figure 21338DEST_PATH_IMAGE010
(3), L AeqWhen mean value was 68.5dBA, coefficient of autocorrelation decayed to 0.5, and be the 22.903(interpolation period of delay), see Table ten.
Figure 949455DEST_PATH_IMAGE011
(4) electrocardio 3S release time is tested, get 68.5dBA and be reduced to suddenly behind the 37dBA data in the 3S, postponing issue is the 19.583(interpolation).See Table 11
Figure 703785DEST_PATH_IMAGE012
(5) L AeqWhen mean value was 29.7dBA, coefficient of autocorrelation decayed to 0.5, and be the 6.178(interpolation period of delay), see Table shown in 12.
Find by above analysis:
1) sensation told of human body subjectivity is inconsistent with actual heart physiological reaction, adopts heart Evaluation of physiological road traffic noise more scientific; 2) road traffic noise can reflect substantially that on the influence degree computation model of human body road traffic noise is on the situation that affects of human body.
The present invention and existing road traffic noise evaluation method, the key distinction: 1) existing evaluation method is many based on the subjective survey questionnaire, and data age, accuracy are low.Complete checkout equipment is adopted in this research, and medically sophisticated equipment is incorporated into road traffic noise evaluation, obtains the result that affects of noise on human body by the analysis on the detection data, and data objectivity, accuracy are strong.2) fasten more the pass that is based upon between noise and disease of the impact of medical circle research noise on human body, and the noise on human body has produced irreversible impact.This research method is started with from the short-term effect of noise on human body, by the statistical study to somatic data, inquire into and the implicit potential impact of acquisition noise on human body, the noise that may affect health is played the effect of advanced prediction, before human body does not produce pathological phenomenon, determine hazardous noise.Have with respect to the research between noise ~ disease advanced, advance.3) minority is used the research that heart physiology instrument launches the noise effect human body, and detecting instrument, detection data, method of determination and evaluation disperse, and there is no complete detection method.This research has been carried out comprehensive integration from aspects such as testing laboratory's layout, checkout equipment system combination, detection method, evaluation model method for building up, noise rating normalization methods, determines that a whole set of standardization detects appraisement system.
The present invention is by recording the real-time dynamic data of the various heart physical signs of human body in process of the test, and the coupling data of indoor playback road traffic noise and ground unrest, statistical study theory and the correlation theory of operate time sequence realize the fusion of road traffic noise safety evaluation data message.Cross-correlation analysis by to Time sequence of noise and each heart physiological time sequence filters out the noise objective L that can explain the noise effect health AeqWith heart physical signs LF/HF, the data message of multidimensional, hyperchannel Human Tolerance road traffic noise is permeated on can the Efficient Characterization road traffic noise affecting the parameter of health.By the LF/HF electrocardiographicdata data under the different noise levels is carried out autocorrelation analysis, obtain road traffic noise safety evaluation grade scale.
The present invention is owing to being to be based upon on the heart physiological test basis of impact of traffic noise human body electrocardio, compare with present subjective qualitative evaluating method, can describe road traffic noise to the impact of human body in objective quantitative ground, reflect more truly the influence degree of noise on human body health.
Evaluation method of the present invention since the objective determination value of Main Basis Human Physiology index analyze and obtain, therefore, evaluation method of the present invention is compared with the noise threshold method of disturbing sleep in the proposition of the basis of questionnaire, having a rest in the past, more science, accurate.
Referring to Fig. 5, the figure shows the system principle of the embodiment of the invention.For convenience of explanation, only show the part relevant with the embodiment of the invention.
This system comprises:
Site road traffic noise signal acquiring system is used for the collection site road traffic noise;
Indoor road traffic noise signal playback and detection system are used for to tested personnel's test process, the traffic noise that gathers at the described site road traffic noise of indoor playback signal acquiring system, and detect the noise sound of described playback noise;
Tested personnel's heart Physiological Signal Acquiring System, be used for gathering described tested personnel before test heart physiological data and at the heart physiological data of the test process of described indoor road traffic noise signal playback and the described traffic noise of detection system playback;
Data handling system, the noise sound data that are used for the playback noise that detects according to the tested personnel's of described tested personnel's heart Physiological Signal Acquiring System collection heart physiological data and described indoor road traffic noise signal playback and acquisition system are processed calculating, estimate and determine to affect the road traffic noise sound pressure level of human body.Described site road traffic noise signal acquiring system comprises precision sound level meter and the high-fidelity sound pick-up outfit that is connected with described precision sound level meter.Described high-fidelity sound pick-up outfit can adopt the wideband sound-track engraving apparatus, and (the 150dB dynamic range, 40HZ-20KHZ), described precision sound level meter requires 120dB dynamic range, 3Hz-20kHz wide-band linearity frequency range.
Described indoor road traffic noise signal playback and detection system comprise noise signal playback unit and playback noise signal sound pressure level detecting unit; Described noise signal playback unit comprises high-fidelity sound pick-up outfit and high-fidelity audio equipment; Described playback noise signal sound pressure level detecting unit is precision sound level meter.
Described high-fidelity sound pick-up outfit adopts the wideband sound-track engraving apparatus, and (the 150dB dynamic range, 40HZ-20KHZ), high-fidelity audio equipment adopts wideband power amplifier stereo set (20HZ-20KHZ).
Described tested personnel's heart Physiological Signal Acquiring System adopts multi-functional dynamic physiology detector.
Described data handling system is the computing machine that is built-in with Data Management Analysis software.Described Data Management Analysis software includes the softwares such as origin, R, matlab, spss, specifically when the above-mentioned software analysis of maintenance data disposal system is processed the indoor playback noise data that gathers and tested personnel's heart physiological data, should first integrated application statistical theory and Time-series Theory the indoor playback noise data that obtains and tested personnel's heart physiological data are processed.
Described site road traffic noise signal acquiring system, indoor road traffic noise signal playback and detection system and described multi-functional dynamic physiology detector be dynamic Real-Time Monitoring continuously, the data that gather all can be stored in corresponding medium, can copy to flexibly as carrying out analytical calculation on the data handling system computing machine.
Because human body bears the dynamic change of road traffic noise impact and can characterize by relative heart physiological change feature, thus can be by people body-centered physiological detection to its degree affected by noise to quantizing.The road traffic noise that the present invention is based on people body-centered physical signs is estimated complete checkout equipment is applied to road and traffic engineering field by the heart physiological detection equipment with medical domain noise research, in real time, specifically, gather exactly the position of human body under the road traffic noise impact, electrocardio, heart rate variability, breathing waits heart physiological change, detection of dynamic and the tested personnel of record are at the condition change information of " human body-road traffic noise " system, and then realize characterizing by the condition change information (cardiac electrophysiology data) of human body and affect the safety traffic of human body noise grade, because people body-centered physiological detection is a kind of science and objective detection method, thereby the present invention has realized quantizing affecting the traffic noise sound pressure level of health.
Can be used for detecting road traffic noise has brain electro-detection instrument, eye movement instrument detecting instrument, instrument for measuring blood pressure device and EGC detecting Instrument etc. to human influence's medical science heart physiological detection equipment, and these instruments are mainly used at medical domain that patient detects when static.And the tested personnel that bear the road traffic noise impact in traffic engineering and road engineering field are in static state, have dynamic and uncertainty, therefore, the heart physiological detection instrument of part medical domain has limitation in road traffic noise affects the evaluation of human body, and detects data deficiency validity.In addition, by human body being given birth to the screening of psychological indicator, determine that electrocardiographicdata data (LF/HF) can describe the physiological Changing Pattern in noise effect people body-centered, this index vary stable, and because the portable design of the multi-functional dynamic physiology detector of KF2 is so that electrocardio detection difficulty and require relatively low, simultaneously, this instrument also synchronous set body temperature, body moving, breathe three road heart physiological datas.But this three road hearts physiological data auxiliary evaluation road traffic noise is on the impact of human body.Therefore affect in the testing process of human body at road traffic noise, the present invention adopts multi-functional dynamic physiology detector to gather the human body electrocardio data.
Because road traffic noise on the impact of people body-centered physiological situation obviously, in " human body-road traffic noise " detection system, human body bears the road traffic noise impact, and the heart physical signs under its rest, the duty changes with noise.The leading indicator of describing road traffic noise is sound pressure level and frequency.Because it is little a lot of on its impact that the road traffic noise frequency change is compared acoustic pressure to the human influence, therefore, for accuracy and the validity that detects, research is mainly started with from acoustic pressure.Be that road traffic noise is recorded at first at the scene, then introduce testing laboratory's environment and carry out playback, carry out Real-time and Dynamic Detection in the time of playback.
Below in conjunction with shown in Figure 6, application process of the present invention is described in detail as follows:
1, testing laboratory arranges (shown in Fig. 7 ~ 8)
The test site is chosen in the place of tested personnel's routine work and rest, like this can the Elimination test room environmental to the heart physiological effect of its sleep and work, strengthen the reliability of the data.(existing research concentrates on specific testing laboratory environment mostly, people body-centered physiological parameter a lot of changes can occur in foreign environment, be difficult to accurately to capture noise it is affected rule), when the test affected by noise of tested personnel's duty is carried out, attentional selection ground unrest generally, the office space is without emergent high-decibel noise.Referring to shown in Figure 8, during the test affected by noise of tested personnel's sleep state, select the permanent institute of tested personnel, indoor ground unrest is with situation is consistent at ordinary times.When two kinds of tests of duty and sleep state were carried out, sound-track engraving apparatus and power amplifying device all were placed on the curtain back, and the analogue noise signal passes into indoor design condition from road outside window, forms invisible sound source.Noise meter is placed on from the position of tested personnel 1 ~ 1.5m, receives the noise signal of sound pick-up outfit playback, as the noise data of the tested personnel's heart physiological reaction of impact.
In order to refine tested this principal element of personnel's electrocardio of noise effect, lab space is chosen at the own family of tested personnel.Parlor (or study) is as work space, the layout of testing apparatus is referring to shown in Figure 7, the parlor is as the work test duration, sound-track engraving apparatus 2 and power amplifying device 3 are all placed the curtain back in parlor, noise meter 1 is placed on from the position of tested personnel 1 ~ 1.5m, test tested personnel 1 reading under the thinking cap electrocardio and the relation between noise.Referring to shown in Figure 4, its bedroom as the sleep space, test tested personnel in sleep procedure electrocardio and the relation between noise.Noise signal is shelved on curtain the inside, hidden sound source.Noise meter 1 is shelved near the tested personnel 1, and sound-track engraving apparatus 2 and power amplifying device 3 all are placed on the curtain back.
2, tested personnel selection
What time following consider when tested personnel are chosen in research: healthy, be not in the mood for popular name for; All ages and classes section, different sexes; The factors such as life living environment, economic situation, job category, education background.Simultaneously, be the compatibility test interpretation of result, tested personnel have carried out subjective survey before selection, and the main suit reacts and thinks the own part of getting to noise-sensitive in the investigation, think the part that accounts for that oneself never is subjected to the noise harassing and wrecking.
3, site road traffic noise collection, record
It is rear in indoor playback for site road traffic noise signal is gathered as far as possible realistically, note 2 points during the road collection in worksite: the one, the purity of road traffic noise signal, be the pollution of getting rid of as far as possible other social noise sources in the testing process, avoid the impact of other non-road traffic noises.More excellent test section is selected in the highway section away from slightly from the residential district, gathers after being chosen in the stand-by time 10:00 that carries on construction work at night evening, and this time period, other social noises were tending towards faint state.The 2nd, signal is representative.Considered the factors such as highway section, different vehicle composition of the different road structure forms of Different Traffic Flows state during detection, signal all has collection under the various states.
4, room noise test expansion and human body are subjected to road traffic to affect heart physiological detection
Described indoor road traffic noise signal playback should be reproduced site road traffic noise signal as far as possible realistically.Human body is suffering the physiological indexes such as position, heart rate, breathing, body temperature under the impact of traffic noise, often adopt respectively plurality of devices to measure in the former research, for example body moves instrument, electrocardiogram equipment, respirometer, thermometer etc., wear simultaneously many instruments to tested personnel work normally, resting state exerts an influence, and is difficult to guarantee that this research detects target.In the embodiment of the invention, adopt multi-functional dynamic physiology detector, can detect synchronously position, heart rate, breathing, 4 physical signs of body temperature.This instrument volume is small and exquisite, wears very conveniently, gets rid of body kinematics fully to the interference of data, and testing result accurately and reliably.
When shop experiment is carried out, say process of the test for first tested personnel, allow it that psychological preparation is arranged.Require that tested personnel loosen fully in the process of the test, with work at ordinary times, the rest situation is consistent as far as possible.
1) at first time of electrocardio equipment (Multifunctional heart physiological detector) and noise meter equipment is transferred to consistent state; 2) arrange sound-track engraving apparatus and power amplifier stereo set; 3) arrange noise meter, and open; 4) wear the Multifunctional heart physiological detector for tested personnel; 5) test first 30 seconds heart physical signs during without the traffic noise signal, in order to reference; Then regulate tone playing equipment, play noise signal, playing process guarantees that test noise and ground unrest difference are more than or equal to 12db.In the process of the test, change noise signal kind and size by regulating outer volume of putting equipment, obtain the required different sound pressure level noise effect factors of test.
5, the processing of test figure
1) adopts electrocardiographicdata data (LF/HF) and road traffic noise index (L Aeq) as the characteristic index of road traffic noise safety evaluation measuring method.Described data analysis comprises, to heart physical signs (position, body temperature, respiratory rate, electrocardiographicdata data (HR, RMSSD, HF, LF, VLF, LF/HF, LFNU, HFNU, TF) and noise objective (LAF Max, LAF Min, L Cpeak, L AFmax, L AIeq, L Aeq, L Ceq) time series carry out one by one cross-correlation analysis, the corresponding index that obtains degree of correlation maximum is: electrocardiographicdata data (LF/HF) and noise objective L Aeq
2) by electrocardiographicdata data (LF/HF) time series under the different noise levels is carried out autocorrelation analysis, confirm that the road traffic noise sound pressure level can exert an influence to LF/HF, its rule is: when raising along with the road traffic noise sound pressure level, LF/HF time series coefficient of autocorrelation slows down gradually with the decay that postpones issue (lags), and the LF/HF time series is long-term correlation properties.And reduce the road traffic noise sound pressure level this moment, and the long-term correlation properties of LF/HF time series still can exist, and its release time is relevant with influence time length with the noise sound size, and sound pressure level is larger, and influence time is longer, and release time is longer.
Determine relation to characterize noise to cardiac electrical potential implicit impact by the coefficient of autocorrelation that utilizes gained in the electrocardiogram (ECG) data autocorrelation analysis with the rule that postpones the issue decay owing to being difficult to find between electrocardiogram (ECG) data itself and noise data.The time dependent separation of series correlation degree take coefficient of autocorrelation 0.5 as electrocardiogram (ECG) data, think that greater than 0.5 o'clock still there is stronger correlativity in the passing of electrocardiogram (ECG) data sequence elapsed time, think that less than 0.5 o'clock electrocardiogram (ECG) data sequence elapsed time passing correlativity has become very weak.The passage of time length that represents data sequence period of delay, the delay issue is larger, and the passing time of description time sequence experience is longer.Relation between noise sound, period of delay and the coefficient of autocorrelation three is as follows: along with the increase of noise sound, electrocardiogram (ECG) data time series (larger delay issue) in the long time section keeps higher coefficient of autocorrelation, index when the impact of this explanation noise on human body can not return to rest state in a short time fully judges that namely noise sound may produce potential implicit impact to human body.This implicit impact is accumulated to a certain degree, may cause pathological state medically to occur.
To L Aeq, the LF/HF scatter diagram carries out fitting a straight line, get under the different sound pressure levels (27dB (A) 38 dB (mean value of all tested personnel's electrocardiographicdata data autocorrelation analyses of A) 51 dB (A) 70 dB (A)) period of delays, obtain human body electrocardio index LF/HF time series auto-correlation and postpone relation between issue and noise sound: noise on human body influence degree model is as follows:
K=0.3288N-2.1168 (being applicable to clear-headed or the shallow state of sleeping)
K=0.2135N-0.906 (being applicable to the state of sleeping soundly)
In the formula, K-coefficient of autocorrelation decay postpones issue, N-road traffic noise sound pressure level (L Aeq).
Known by above-mentioned model, postpone to have linear relationship between issue and noise sound.As follows without the method for the noise sound of impact according to setting up period of delay human body: the coefficient of autocorrelation of getting electrocardiogram (ECG) data under the different noise sound is that period of delay of 0.5 o'clock is as judging starting point, then regulate the stereo set volume, sound pressure level is returned in 20-27dB scope, see in the time at 3S and to reach period of delay of 0.5 o'clock by the coefficient of autocorrelation of electrocardiogram (ECG) data (whether the period of delay under 20-27dB) is consistent with this tested personnel's rest state, if substantially can return to rest state in the 3S after sound pressure level reduces, then think this sound pressure level on human body electrocardio without potential implicit impact.On the contrary, think that then this sound pressure level forms potential implicit impact to human heart.About 3S limit value regulation, all definite by 3S design rate length of stroke with reference to minimum length of transition curve and minimum vertical curve length in China " highway technical standard JTG B01-2003 ".Get 3S as human body electrocardio self-adaptation length at this, surpass self-adaptation length, think that namely noise effect has exceeded the human body adaptive ability, might produce potential hazard to heart.
Analyze according to above-mentioned computation model and large sample capacity data, can determine that (LAeq≤27dB), more comfortable road traffic noise sound pressure level (27dB<LAeq<43dB), have the road traffic noise sound pressure level (LAeq 〉=43dB) of potential implicit impact to comfortable road traffic noise sound pressure level on human body.See the following form:
Figure DEST_PATH_IMAGE015
The present invention in use will realize the multinomial coupling between instrument and equipment:
Owing to can detect road traffic the detecting instrument that human body produces the road traffic noise sound pressure level of implicit impact had common detection index " time ".Be coordinate axis by the detecting instrument data acquisition time, the data of the multi-functional dynamic physiology detector of KF2 and noise meter can be coupled to synchronously the computing machine of data handling system, its coupled relation structural drawing as shown in Figure 9.
1) for realizing detecting the time coupling of data, needs before detecting noise meter and multi-functional dynamic physiology detector time of KF2 are carried out the consistance calibration.Before detecting the multi-functional dynamic physiology detector of KF2 is carried out set of time, itself and the computer time that the KF2 data handling system is housed are consistent; Then adjust the noise meter time, be consistent with this computer time.
2) when experimental data processing, need to be coupled according to unified frequency acquisition.
Time precision and the frequency of all kinds of detecting instrument image data information are inconsistent, need to carry out normalized to it, count standard with the noise that frequency acquisition is minimum, and unit is " inferior/second ", i.e. 1HZ.KF2 dynamic multifunctional physiological detector frequency acquisition is adjusted as follows:
Frequency acquisition is not adjusted front electrocardiogram (ECG) data:
Name Time Gz Gx Average heart rate Activity intensity RMSSD VLF LF HF LFNU HFNU LF/HF TOTAL
A 23:01:49 1.07 0.12 82 2.65 8.98 3050.2 526.3 80.5 86.74 13.26 6.54 3656.98
A 23:01:49 1.08 -0.06 83 2.69 8.93 2983.88 518.78 80.5 86.56 13.44 6.44 3583.2
A 23:01:50 1 -0.1 86 2.78 8.9 2845.72 503.75 80.6 86.21 13.79 6.25 3430.07
A 23:01:51 1.18 0.04 87 2.87 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:52 0.85 0.12 84 2.96 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:52 1.1 0.02 195 3.01 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:52 1.11 0.13 169 3.02 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:53 0.77 0.04 90 3.03 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:53 0.35 -0.1 91 2.98 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:54 0.32 -0.41 94 2.98 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
Frequency acquisition is adjusted to the electrocardiogram (ECG) data behind the 1HZ:
Name Time Gz Gx Average heart rate Activity intensity RMSSD VLF LF HF LFNU HFNU LF/HF TOTAL
A 23:01:49 1.075 0.03 83 2.67 8.955 3017.04 522.54 80.5 86.65 13.35 6.49 3620.09
A 23:01:50 1 -0.1 86 2.78 8.9 2845.72 503.75 80.6 86.21 13.79 6.25 3430.07
A 23:01:51 1.18 0.04 87 2.87 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:52 1.105 0.075 182 3.02 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:53 0.56 -0.03 91 3.01 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
A 23:01:54 0.32 -0.41 94 2.98 8.85 2771.83 496.25 80.6 86.03 13.97 6.16 3348.68
3) reject data inferior.
In process of the test, the generation of noise data inferior mainly is that ground unrest is undergone mutation on every side, and the recording events time of origin is rejected before data are processed; Electrocardiogram (ECG) data inferior may change suddenly relevant with tested personnel's condition, tested personnel's emergency situations in the record test process, for example, tested personnel turn round suddenly the improper fluctuation that the large a little movement ranges such as getting thing of holding out easily causes electrocardiosignal when testing under the duty, and data should be rejected before processing.
4) road traffic noise affects the coupling application of the detection system of human body
The achievement data that detection system is collected carries out respectively the rejecting processing of time, frequency acquisition coupling and data inferior, and is coupled take the time as axle, can obtain the tested personnel's of noise effect valid data.
Compare with noise rating in the past, the present invention has following advantage:
(1) can from the complex environment noise, more effectively extract the impact of traffic noise.Index about the road traffic noise evaluation is many from questionnaire both at home and abroad, the noise social investigation is difficult to handle noise exposure flux and makes it need to change according to our research, also is not easy to make tested activity, expectation or attitude level to keep identical state simultaneously;
2) overcome the subjective uncertainty of subjective scoring, strengthened the objectivity of test findings.The subject is subjected to the impact of the factors such as self economic situation, heart physiological situation, political culture background, living environment, and the subjective response of same noise situation is differed greatly.So road traffic noise evaluation method and evaluation index based on noise dose~reaction relation characteristic, be mainly conceptual and discussion reasoning, there are not relevant subject's heart Physiological Experiment data to support, lack enough theoretical foundation, easily cause existing road traffic noise assessment index and human health status not to be inconsistent, have healthy hidden danger;
3) this detection system is measured the short-term potential hazard of noise on human body, but not final pathology effects than the research of noise and disease, has advance with advanced, nips in the bud, and has more Research Significance.

Claims (10)

1. the road traffic noise detection system based on electrocardiographicdata data is characterized in that, comprising:
Site road traffic noise signal acquiring system is used for the collection site road traffic noise;
Indoor road traffic noise signal playback and detection system are used for to tested personnel's test process, the traffic noise that gathers at the described site road traffic noise of indoor playback signal acquiring system, and detect the noise sound of described playback noise;
Tested personnel's heart Physiological Signal Acquiring System, be used for gathering described tested personnel before test heart physiological data and at the heart physiological data of the test process of described indoor road traffic noise signal playback and the described traffic noise of detection system playback;
Data handling system, the noise sound data that are used for the playback noise that detects according to the tested personnel's of described tested personnel's heart Physiological Signal Acquiring System collection heart physiological data and described indoor road traffic noise signal playback and acquisition system are processed calculating, estimate and determine to affect the road traffic noise sound pressure level of human body.
2. the road traffic noise detection system based on electrocardiographicdata data according to claim 1 is characterized in that, described site road traffic noise signal acquiring system comprises precision sound level meter and the high-fidelity sound pick-up outfit that is connected with described precision sound level meter.
3. the road traffic noise detection system based on electrocardiographicdata data according to claim 1 is characterized in that, described indoor road traffic noise signal playback and detection system comprise noise signal playback unit and playback noise signal sound pressure level detecting unit; Described noise signal playback unit comprises high-fidelity sound pick-up outfit and high-fidelity audio equipment; Described playback noise signal sound pressure level detecting unit is precision sound level meter.
4. the road traffic noise detection system based on electrocardiographicdata data according to claim 1 is characterized in that, described tested personnel's heart Physiological Signal Acquiring System adopts multi-functional dynamic physiology detector.
5. each described road traffic noise detection system based on electrocardiographicdata data is characterized in that according to claim 1 ~ 4, and described data handling system is the computing machine that is built-in with Data Management Analysis software.
6. the road traffic noise detection method based on electrocardiographicdata data is characterized in that, may further comprise the steps:
1) makes up road traffic noise evaluating characteristic information detecting system
Described road traffic noise evaluating characteristic information detecting system comprises:
Site road traffic noise signal acquiring system is used for gathering the traffic noise on urban roads signal as the noise signal of carrying out indoor human body heart physiological test; Indoor road traffic noise signal playback system, the traffic noise signal that is used for the collection of the described site road traffic noise of reproduction true to nature signal acquiring system carries out indoor human body heart physiological test; People body-centered physiology test macro is used for real-time synchronization and obtains tested personnel's body fatigue resistance, heart rate, breathing, body temperature and indoor playback road traffic noise sound pressure level;
2) by screening and analysis to road traffic noise safety evaluation detecting information, set up the road traffic noise evaluation model based on people body-centered physical signs; May further comprise the steps:
Time series to people body-centered physical signs and noise objective is carried out cross-correlation analysis one by one, chooses electrocardiographicdata data LF/HF and the noise objective L of degree of correlation maximum AeqCharacteristic index as road traffic noise evaluation calculating;
Human body electrocardio index LF/HF time series under the different noise levels is carried out autocorrelation analysis, obtain the road traffic noise sound pressure level to the rule that electrocardiographicdata data LF/HF exerts an influence, obtain the scatter diagram that the coefficient of autocorrelation decay postpones issue and noise sound;
Described scatter diagram is carried out fitting a straight line, obtain the relation between human body electrocardio index LF/HF time series coefficient of autocorrelation delay issue and noise sound, set up the computation model between described coefficient of autocorrelation decay delay issue and noise sound;
3) use described road traffic noise evaluating characteristic information detecting system, gather the traffic noise on urban roads signal and carry out synchronously people body-centered physiological test in indoor playback, the tested personnel's of real time record electrocardiographicdata data LF/HF and the noise objective L of playback noise AeqAccording to described computation model, by the data analysis of large sample amount, thereby determine described traffic noise on urban roads sound pressure level.
7. the road traffic noise detection method based on electrocardiographicdata data according to claim 6 is characterized in that, described people body-centered physiology test macro is comprised of multi-functional dynamic physiology detector and noise meter.
8. the road traffic noise detection method based on electrocardiographicdata data according to claim 6 is characterized in that, described site road traffic noise signal acquiring system is comprised of BK 2250 precision sound level meters and Noise Acquisition device.
9. the road traffic noise detection method based on electrocardiographicdata data according to claim 6 is characterized in that, described indoor road traffic noise signal playback system is by noise player and high-fidelity music center installation composition.
10. each described road traffic noise detection method based on electrocardiographicdata data is characterized in that according to claim 6 ~ 9, and described computation model comprises:
Be applicable to the first computation model that the clear-headed or shallow state of sleeping uses: K=0.3288N-2.1168, and
Be applicable to the second computation model that the state of sleeping soundly uses: K=0.2135N-0.906;
K-coefficient of autocorrelation decay postpones issue, N-road traffic noise sound pressure level.
CN201210411058.6A 2012-10-25 2012-10-25 Road traffic noise detecting system and method based on electrocardiographic index Active CN102928071B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210411058.6A CN102928071B (en) 2012-10-25 2012-10-25 Road traffic noise detecting system and method based on electrocardiographic index

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210411058.6A CN102928071B (en) 2012-10-25 2012-10-25 Road traffic noise detecting system and method based on electrocardiographic index

Publications (2)

Publication Number Publication Date
CN102928071A true CN102928071A (en) 2013-02-13
CN102928071B CN102928071B (en) 2014-04-02

Family

ID=47642926

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210411058.6A Active CN102928071B (en) 2012-10-25 2012-10-25 Road traffic noise detecting system and method based on electrocardiographic index

Country Status (1)

Country Link
CN (1) CN102928071B (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103440411A (en) * 2013-08-15 2013-12-11 中山大学 Traffic noise pollution model based on exposed crowd/area/acoustic environment functional area
CN104008644A (en) * 2014-06-06 2014-08-27 中国民航大学 Urban road traffic noise measurement method based on gradient descent
CN108871552A (en) * 2018-06-22 2018-11-23 哈尔滨工业大学(深圳) A kind of noise monitoring method and system based on identification of sound source
CN110196098A (en) * 2019-05-23 2019-09-03 山东理工大学 Vehicle sound quality evaluation method based on changes in heart rate
CN113008572A (en) * 2021-02-22 2021-06-22 东风汽车股份有限公司 Loudness area map generation system and method for evaluating noise in N-type automobiles
CN113739907A (en) * 2021-09-04 2021-12-03 天津大学 Sound environment quality judgment method in mental labor working state
CN113884178A (en) * 2021-09-30 2022-01-04 江南造船(集团)有限责任公司 Modeling device and method of noise sound quality evaluation model
CN115159285A (en) * 2022-07-01 2022-10-11 重庆大学 Elevator state monitoring method and elevator state monitoring device

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08317919A (en) * 1995-05-29 1996-12-03 Matsushita Electric Ind Co Ltd Sound oscillation evaluating device
CN102478423A (en) * 2010-11-24 2012-05-30 比亚迪股份有限公司 Environmental sound monitoring system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH08317919A (en) * 1995-05-29 1996-12-03 Matsushita Electric Ind Co Ltd Sound oscillation evaluating device
CN102478423A (en) * 2010-11-24 2012-05-30 比亚迪股份有限公司 Environmental sound monitoring system

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103440411B (en) * 2013-08-15 2016-08-24 中山大学 Set up based on exposed population group area the method for traffic noise pollution model of acoustic environment functional areas
CN103440411A (en) * 2013-08-15 2013-12-11 中山大学 Traffic noise pollution model based on exposed crowd/area/acoustic environment functional area
CN104008644A (en) * 2014-06-06 2014-08-27 中国民航大学 Urban road traffic noise measurement method based on gradient descent
CN108871552A (en) * 2018-06-22 2018-11-23 哈尔滨工业大学(深圳) A kind of noise monitoring method and system based on identification of sound source
WO2019242302A1 (en) * 2018-06-22 2019-12-26 哈尔滨工业大学(深圳) Noise monitoring method and system based on sound source identification
CN110196098B (en) * 2019-05-23 2021-10-29 山东理工大学 Heart rate change-based vehicle sound quality evaluation method
CN110196098A (en) * 2019-05-23 2019-09-03 山东理工大学 Vehicle sound quality evaluation method based on changes in heart rate
CN113008572A (en) * 2021-02-22 2021-06-22 东风汽车股份有限公司 Loudness area map generation system and method for evaluating noise in N-type automobiles
CN113008572B (en) * 2021-02-22 2023-03-14 东风汽车股份有限公司 Loudness area map generation system and method for evaluating noise in N-type automobiles
CN113739907A (en) * 2021-09-04 2021-12-03 天津大学 Sound environment quality judgment method in mental labor working state
CN113739907B (en) * 2021-09-04 2024-02-20 天津大学 Acoustic environment quality judging method under working state of mental labor
CN113884178A (en) * 2021-09-30 2022-01-04 江南造船(集团)有限责任公司 Modeling device and method of noise sound quality evaluation model
CN113884178B (en) * 2021-09-30 2023-10-17 江南造船(集团)有限责任公司 Modeling device and method for noise sound quality evaluation model
CN115159285A (en) * 2022-07-01 2022-10-11 重庆大学 Elevator state monitoring method and elevator state monitoring device
CN115159285B (en) * 2022-07-01 2023-11-03 重庆大学 Elevator state monitoring method and elevator state monitoring device

Also Published As

Publication number Publication date
CN102928071B (en) 2014-04-02

Similar Documents

Publication Publication Date Title
CN102928071B (en) Road traffic noise detecting system and method based on electrocardiographic index
Öhrström et al. Sleep disturbances from road traffic and ventilation noise—laboratory and field experiments
Nilsson A-weighted sound pressure level as an indicator of short-term loudness or annoyance of road-traffic sound
Hunter et al. Variations in intensity, fundamental frequency, and voicing for teachers in occupational versus nonoccupational settings
Kang et al. Towards soundscape indices
Vallet et al. Long term sleep disturbance due to traffic noise
Deliyski et al. Influence of data acquisition environment on accuracy of acoustic voice quality measurements
Torija et al. Relationship between road and railway noise annoyance and overall indoor sound exposure
CN101797150B (en) Computerized test apparatus and methods for quantifying psychological aspects of human responses to stimuli
Kurra et al. Transportation noise annoyance—a simulated-environment study for road, railway and aircraft noises, Part 1: overall annoyance
CN102973277A (en) Frequency following response signal test system
CN115778352B (en) Sleep quality assessment method, equipment, system and medium based on millimeter wave radar
CN208520476U (en) A kind of high-speed transplanter noise qualities evaluation system
CN103190911B (en) Upper airway change monitoring method based on snore formants and power ratio tracks
Lane et al. INTERNATIONAL PERSPECTIVES: Impacts of industrial wind turbine noise on sleep quality: Results from a field study of rural residents in Ontario, Canada
Xiang et al. Soundscape diversity: Evaluation indices of the sound environment in urban green spaces–Effectiveness, role, and interpretation
CN101313849A (en) Ear acoustic emission auditory capacity detecting instrument
CN202916005U (en) Road noise evaluation whole-set detection system based on psychological and physiological indexes
CN108344503A (en) A kind of high-speed transplanter noise qualities evaluation system
Li et al. Investigation of road-traffic noise and annoyance in Beijing: A cross-sectional study of 4th ring road
Öhrström et al. Sleep disturbance before and after traffic noise attenuation in an apartment building
CN113782053B (en) Automatic monitoring method for urban sound landscape quality worthy of protection
Kepplinger et al. Perspectives about personalization for mHealth solutions against noise pollution
Wang et al. Developing multivariate models for predicting the levels of multi-dimensional critical perceptions due to metro noise inside buildings
CN113851224A (en) Digital simulator for AMS risk assessment

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C53 Correction of patent of invention or patent application
CB03 Change of inventor or designer information

Inventor after: Wang Shuyun

Inventor after: Sun Fuzi

Inventor after: Yang Zhixin

Inventor after: Li Zongqi

Inventor after: Li Juan

Inventor after: Guo Mingyang

Inventor after: Yan Chunyu

Inventor after: Li Pei

Inventor before: Wang Shuyun

Inventor before: Sun Fuzi

Inventor before: Yang Zhixin

COR Change of bibliographic data

Free format text: CORRECT: INVENTOR; FROM: WANG SHUYUN SUN FUZI YANG ZHIXIN TO: WANG SHUYUN SUN FUZI YANG ZHIXIN LI ZONGQI LI JUAN GUO MINGYANG YAN CHUNYU LI PEI