CN114889546A - Living body detection method and device based on carbon dioxide sensor - Google Patents
Living body detection method and device based on carbon dioxide sensor Download PDFInfo
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- CN114889546A CN114889546A CN202210313071.1A CN202210313071A CN114889546A CN 114889546 A CN114889546 A CN 114889546A CN 202210313071 A CN202210313071 A CN 202210313071A CN 114889546 A CN114889546 A CN 114889546A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/015—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, and the related safety parameters therefor, e.g. speed or timing of airbag inflation in relation to occupant position or seat belt use
- B60R21/01512—Passenger detection systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/015—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, and the related safety parameters therefor, e.g. speed or timing of airbag inflation in relation to occupant position or seat belt use
- B60R21/01512—Passenger detection systems
- B60R21/0153—Passenger detection systems using field detection presence sensors
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
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Abstract
The invention provides a life body detection method and a device based on a carbon dioxide sensor, wherein the device comprises a life body detection sensor and a host; the host is connected with the life detection sensor and used for completing the life detection method based on the carbon dioxide sensor: s1, recording the time for closing the door and the window; s2, starting a life detection signal; s3, judging whether the current time exceeds the threshold time relative to the last closing time of the door and the window; s4, reading the sampling data at a certain sampling rate within the set sampling time after the threshold time is reached; s5, grouping N groups of read sampling data, and firstly, checking each group of sampling data by using a Mann-Kendall checking method to obtain a trend result of each group of sampling data; and S6, comparing all the obtained trend results with a given life body judgment alarm threshold value to judge whether a life body is detected.
Description
Technical Field
The invention belongs to the technical field of intelligent monitoring of automobiles, and particularly relates to a life body detection method and device based on a carbon dioxide sensor.
Background
In recent years, a serious accident caused by lack of oxygen in children due to the fact that the children are left in a car by carelessness of guardians occurs. Aiming at the problems, some manufacturers propose corresponding solutions, and the adopted technologies comprise sensors such as camera detection, radar and infrared, but the technical solutions have higher relative hardware cost, and dead angles exist in the camera and the privacy problem of users exists; such as 201110389047.8 an infrared in-vehicle environment monitoring system based on a CAN/LIN bus.
A life sign detection scheme based on a carbon dioxide sensor is provided by some manufacturers, 202011144066.X is a method and a device for detecting life signs in a parked vehicle, the carbon dioxide sensor acquires the concentration of carbon dioxide in the vehicle after a vehicle door is locked, the problem of high hardware cost is solved, however, a difference value between a plurality of sampling points is compared with a threshold value to serve as a judgment standard, and the sampling result is influenced by certain contingency due to the fact that the sampled data is local data, and therefore the accuracy of detection is influenced.
Disclosure of Invention
In order to solve the above problems, it is necessary to provide a method and an apparatus for detecting a living body using a carbon dioxide sensor.
The invention provides a life body detection method based on a carbon dioxide sensor, which comprises the following steps:
s1, recording the time for closing the door and the window;
s2, starting a life detection signal;
s3, judging whether the current time exceeds the threshold time relative to the last closing time of the door and the window;
s4, reading the sampling data at a certain sampling rate within the set sampling time after the threshold time is reached;
s5, grouping N groups of read sampling data, and firstly, checking each group of sampling data by using a Mann-Kendall checking method to obtain a trend result of each group of sampling data;
and S6, comparing all the obtained trend results with a given life body judgment alarm threshold value to judge whether a life body is detected.
The invention provides a life body detection device based on a carbon dioxide sensor, which comprises:
the life body detection sensor is used for detecting the concentration of carbon dioxide in the vehicle and sending the carbon dioxide concentration data to a sampling data buffer area of the host at a certain sampling rate;
the host computer is used for setting a sampling data buffer area;
the host is connected with the life body detection sensor and used for completing the life body detection method based on the carbon dioxide sensor.
Compared with the prior art, the invention has prominent substantive characteristics and remarkable progress, in particular:
1. the invention adopts the carbon dioxide sensor and matches with a matched detection method, realizes the detection function of the life body, and has the characteristics of accurate and reliable detection, lower cost and the like;
2. the method adopts a Mann-Kendall inspection method to process concentration data and judge the existence of a living body, can shield the influence of abnormal points or fluctuation of signals on detection to a greater extent, has better anti-interference capability, is also effective on nonlinear data, has higher detection accuracy and reliability and stronger robustness;
3. the invention considers that the survival time of the life body is shorter at extreme temperature, particularly high temperature, and the invention is specially optimized aiming at the extreme temperature, thereby improving the detection sensitivity and speed.
Additional aspects and advantages of the invention will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
FIG. 1 is a block flow diagram of the method of the present invention.
FIG. 2 is a graph showing the change in carbon dioxide concentration in the case of no living body in example 3 of the present invention.
FIG. 3 is a graph showing a change in carbon dioxide concentration in the living body in example 3 of the present invention.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, the present invention will be described in further detail below with reference to the accompanying drawings and detailed description. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Example 1
This embodiment proposes a life body detection device based on carbon dioxide sensor, includes: the life body detection sensor is used for detecting the concentration of carbon dioxide in the vehicle and sending the carbon dioxide concentration data to a sampling data buffer area of the host at a certain sampling rate; the host computer is used for setting a sampling data buffer area; the temperature sensor is used for detecting temperature data in the vehicle; the host is connected with the life detection sensor and the temperature sensor to complete the life detection method based on the carbon dioxide sensor.
The specific method for detecting a living body based on a carbon dioxide sensor, as shown in fig. 1, comprises the following steps:
s1, the host computer records the time for closing the door and the window;
s2, the host sends a signal for starting the detection of the living body, the detection sensor of the living body starts to detect the concentration of the carbon dioxide in the vehicle, and the concentration data of the carbon dioxide is sent to a sampling data buffer area of the host at a certain sampling rate;
s3, judging whether the current time exceeds the threshold time relative to the last closing time of the door and the window;
s4, reading the sampling data at a certain sampling rate within the set sampling time after the threshold time is reached;
s5, grouping N groups of read sampling data, and firstly, checking each group of sampling data by using a Mann-Kendall checking method to obtain a trend result of each group of sampling data;
and S6, comparing all the obtained trend results with a given life body judgment alarm threshold value to judge whether a life body is detected.
Particularly, considering that the living body in the car is more easily damaged at the extreme temperature and the damage degree is increased along with the time, the temperature self-adaptive adjustment is needed, namely the given living body judgment alarm threshold value and the given detection time are adjusted according to the current temperature. Specifically, when the current temperature rises, a given living body determination alarm threshold is lowered, and the detection time is shortened.
In this embodiment, the life detection sensor is a carbon dioxide sensor based on NDIR technology. The host is connected with the automobile host through the LIN bus. When the automobile host is used for specific application, when the life body is judged to be detected, the automobile host is used for processing according to a preset strategy, such as opening an automobile air-conditioning ventilation system, sending alarm information to an automobile owner and the like; and after the determination that the living body is not detected and the determination time is overtime, controlling the carbon dioxide sensor to be dormant.
Example 2
The present embodiment differs from embodiment 1 in that: the method for obtaining the trend result of each group of sampling data by using the Mann-Kendall test method is provided:
s51, listing the read data according to the acquisition time: x is the number of 1 ,x 2 ,…,x n ；
S52, determining all n (n-1)/2 x j −x k Sign of difference, where j> k；
S53, let sgn (x) j −x k ) As an indication function, in accordance with x j −x k The sign value of (A) is 1,0 or-1;
s54, calculating the number of positive differences minus the number of negative differences S = ∑ n-1 k-1 ∑ nj-k +1sgn (x) j −x k )；
S55, calculating the variance of S: var(s) =118[ n (n-1) (2n +5) - ∑ gp-1 tp (tp-1) (2tp +5) ], where g is the number of knots and tp is the number of observations in group p;
s56, calculating MK test statistic Z _ { MK }:
s57, according to
Obtaining a trend result T of each group of sampling data;
wherein, -1 represents a downward trend, 0 represents no trend, and 1 represents an upward trend.
The method for comparing all trend results obtained with a given life body judgment alarm threshold value comprises the following steps:
setting the life body judgment alarm threshold value to be 70% of the group number N of the sampling data;
adding the result values of the general trend = N groups of trends;
if the total trend is greater than 70% N, determining that the living body is detected;
if the total trend is <70% N, it is determined that no living body is detected.
Example 3
This example differs from example 2 in that: a specific test case is provided in which all trend results are compared to a given life decision alarm threshold.
And (3) testing conditions are as follows: assuming that the sample data buffer area is 300 groups of data, the data are divided into 15 groups, the sampling rate is 1s, the detection time is 5 minutes, and the temperature is 20-30 ℃.
After processing 15 sets of data using the Mann-Kendall test method, 15 trend results were obtained, as shown in table 1:
TABLE 1
As shown in fig. 2, fig. 3, and table 1, the total trend was 15 when a living body was detected, and 2 when a living body was not detected.
In particular, the body reacts at different temperatures as follows:
according to the reaction of the body at different temperatures, the given life body judgment alarm threshold value is properly reduced by combining the current temperature, and meanwhile, the detection time (sampling time) is shortened, so that the detection sensitivity and the detection rate of the life body are improved, and the risk that the life body is injured is reduced. When the temperature environment is severe, the given life body is adjusted by the temperature adjusting coefficient to judge the alarm threshold value, and the detection time is adjusted by the detection time adjusting coefficient:
the given life body judgment alarm threshold value adjustment strategy is as follows:
and (3) detecting a time adjustment strategy:
the above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (9)
1. A method for detecting a living body based on a carbon dioxide sensor is characterized by comprising the following steps:
s1, recording the time for closing the door and the window;
s2, starting a life detection signal;
s3, judging whether the current time exceeds the threshold time relative to the last closing time of the door and the window;
s4, reading the sampling data at a certain sampling rate within the set sampling time after the threshold time is reached;
s5, grouping N groups of read sampling data, and firstly, checking each group of sampling data by using a Mann-Kendall checking method to obtain a trend result of each group of sampling data;
and S6, comparing all the obtained trend results with a given life body judgment alarm threshold value to judge whether a life body is detected.
2. The carbon dioxide sensor-based life body detection method according to claim 1, characterized in that: in step S6, a predetermined living body determination alarm threshold value and detection time are adjusted in accordance with the current temperature.
3. The carbon dioxide sensor-based life body detection method according to claim 2, characterized in that: when the current temperature rises, the given life body judgment alarm threshold value is reduced, and meanwhile, the detection time is shortened.
4. The method for detecting life body based on carbon dioxide sensor as claimed in claim 2, wherein in step S5, the method for obtaining trend result of each set of sampling data by using Mann-Kendall test method comprises:
s51, listing the read data according to the acquisition time: x is the number of 1 ,x 2 ,…,x n ；
S52, determining all n (n-1)/2 x j −x k Sign of difference, where j>k；
S53, let sgn (x) j −x k ) As an indication function, in accordance with x j −x k The sign value of (A) is 1,0 or-1;
s54, calculating the number of positive differences minus the number of negative differences S = ∑ n-1 k-1 ∑ nj-k +1sgn (x) j −x k )；
S55, calculating the variance of S: var(s) =118[ n (n-1) (2n +5) - ∑ gp-1 tp (tp-1) (2tp +5) ], where g is the number of knots and tp is the number of observations in group p;
s56, calculating MK test statisticsAmount Z _ { MK }:
s57, according to
Obtaining a trend result T of each group of sampling data;
wherein, -1 represents a downward trend, 0 represents no trend, and 1 represents an upward trend.
5. The method for detecting a living body based on a carbon dioxide sensor as claimed in claim 4, wherein the step S6 for comparing all trend results obtained with the given living body judgment alarm threshold value comprises:
setting the life body judgment alarm threshold value to be 70% of the group number N of the sampling data;
adding the result values of the general trend = N groups of trends;
if the total trend is greater than 70% x N, determining that the living body is detected;
if the total trend is <70% N, it is determined that no living body is detected.
6. A life body detection device based on a carbon dioxide sensor, comprising:
the life body detection sensor is used for detecting the concentration of carbon dioxide in the vehicle and sending the carbon dioxide concentration data to a sampling data buffer area of the host at a certain sampling rate;
the host computer is used for setting a sampling data buffer area;
the host computer is connected with the life detection sensor to complete the carbon dioxide sensor-based life detection method of any one of claims 1 to 5.
7. The carbon dioxide sensor-based living body detecting device according to claim 6, wherein: the life body detection sensor is a carbon dioxide sensor based on NDIR technology.
8. The carbon dioxide sensor-based living body detecting device according to claim 7, wherein: the host is also connected with a temperature sensor for detecting temperature data in the vehicle.
9. The carbon dioxide sensor-based living body detecting device according to claim 6, wherein: the host is connected with the automobile host through an LIN bus; the automobile host is used for processing according to a preset strategy when the life body is judged to be detected; and after the determination that the living body is not detected and the determination time is overtime, controlling the carbon dioxide sensor to be dormant.
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