CN111366270A - Temperature anomaly screening method and system and computer storage medium - Google Patents
Temperature anomaly screening method and system and computer storage medium Download PDFInfo
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Abstract
The invention relates to a temperature anomaly screening method, a system and a computer storage medium, wherein the method comprises the steps of S1, acquiring temperature data of an object to be detected; s2, judging whether the dynamic temperature threshold is available, if not, executing S3, if so, executing S4; s3, using the fixed temperature threshold value as the judgment reference, judging whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if not, recording the temperature data; s4, using the dynamic temperature threshold value as a judgment reference to judge whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if not, recording the temperature data; and S5, based on the principle of exponential moving average value, updating the dynamic temperature threshold value according to the recorded temperature data, and returning to S1 for the next round of measurement. The invention can still realize the screening of the abnormal body temperature people in the crowd under the condition of temperature drift, and does not need to frequently carry out temperature calibration on the infrared temperature measurement system.
Description
Technical Field
The invention relates to the field of infrared temperature measurement, in particular to a method and a system for screening temperature anomaly and a computer storage medium.
Background
For malignant infectious diseases such as SARS and new coronary pneumonia, timely identification and proper treatment of infected persons are important means for preventing the spread of epidemic situation. Because the infected people of the diseases are often accompanied by fever and high fever symptoms, screening the abnormal body temperature people in the people becomes one of the main methods for identifying the infected people. The infrared rapid body temperature screening instrument can realize contactless body temperature measurement on a large number of people under the condition that the passing efficiency of pedestrians is not influenced, and the equipment is suitable for places such as airports, railway stations, subway stations and the like where people crowd density and people flow are large. Due to environmental influences and characteristics of infrared detector devices, temperature drift of the infrared rapid abnormal body temperature screening instrument inevitably occurs, namely body temperature measurement errors, and then false reports or false reports of abnormal body temperature people are caused.
The method comprises the following steps of firstly, utilizing a black body to recalibrate the temperature of the infrared quick abnormal body temperature screening instrument, namely recalibrating the reference temperature of the infrared quick body temperature screening instrument and correcting the drift temperature. This technical scheme requires that the black body equipment is laid to fixed position in infrared quick abnormal body temperature screening appearance field of vision, and the black body equipment need settle in best temperature measurement within range, has certain requirement to usage space, environment, like inconvenient field of power supply and narrow and small space all inconvenient this kind of scheme of using. In addition, the blackbody is additionally purchased, so that the cost of the whole temperature measuring system is increased.
In the second technical scheme, the normal body temperature personnel are used for recalibrating the temperature of the infrared rapid body temperature screening instrument, namely, the reference temperature is corrected by sampling the body temperature of a human body. Because human body surface temperature is different the not same position change at the moment and difference great and easily receive the environmental impact, use human body surface temperature to make infrared quick abnormal body temperature screening appearance great error appear as reference temperature, be unfavorable for the screening of the unusual person of body temperature. Moreover, the correction needs at least two persons to interrupt the current work and cooperate, and has great influence on the working efficiency of the persons and the rapid passing of the people.
Disclosure of Invention
The invention aims to provide a temperature abnormity screening method, a system and a computer storage medium, which can screen a person with abnormal body temperature in a crowd without periodic temperature correction under the condition of temperature drift in the using process.
In a first aspect, the present invention provides a method for screening for temperature anomalies, comprising the steps of,
s1, acquiring temperature data of the object to be measured;
s2, judging whether the dynamic temperature threshold is available, if not, executing S3, if so, executing S4;
s3, using a fixed temperature threshold value as a judgment reference, judging whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if not, recording the temperature data;
s4, using the dynamic temperature threshold value as a judgment reference to judge whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if not, recording the temperature data;
and S5, updating the dynamic temperature threshold according to the recorded temperature data based on the principle of exponential moving average, and returning to S1 for the next round of measurement.
In a second aspect, the present invention provides a temperature anomaly screening system, comprising the following modules,
the temperature measurement module is used for acquiring temperature data of an object to be measured;
the dynamic temperature threshold value available judging module is used for judging whether the dynamic temperature threshold value is available or not, if not, the dynamic temperature threshold value available judging module is connected with the fixed temperature threshold value judging module, and if the dynamic temperature threshold value is available, the dynamic temperature threshold value available judging module is connected with the fixed temperature threshold value judging module;
the fixed temperature threshold judging module is used for judging whether the temperature data is abnormal or not by using a fixed temperature threshold as a judging reference, alarming and discarding the temperature data if the temperature data is abnormal, and recording the temperature data if the temperature data is normal;
the dynamic temperature threshold judging module is used for judging whether the temperature data is abnormal or not by using the dynamic temperature threshold as a judging reference, alarming and discarding the temperature data if the temperature data is abnormal, and recording the normal temperature data if the temperature data is normal;
and the updating circulation module is based on an exponential moving average principle, updates the dynamic temperature threshold according to the recorded temperature data, is connected with the temperature measurement module and performs the next round of measurement.
In a third aspect, the invention provides a computer storage medium comprising a memory and a computer program stored in the memory, which computer program, when executed by a processor, performs the method steps as described above.
The invention discloses a method and a system for screening temperature anomaly and a computer storage medium, which have the beneficial effects that: the method utilizes measured and recorded normal body temperature data as a dynamic warning value for abnormal body temperature detection through statistical calculation, and utilizes the characteristic that the temperature difference is kept unchanged while the temperature reference of the infrared thermometer is changed, so that the screening of abnormal body temperature people among people can be realized under the condition of temperature drift; in addition, the invention does not need to frequently calibrate the temperature of the infrared temperature measurement system, but adopts the index moving average value to carry out weighted average on data as a dynamic temperature threshold value, the dynamic temperature threshold value fully considers irregular infrared detection offset components, and realizes the screening by using the relative temperature difference as the abnormal body temperature. The invention not only can enable the infrared quick screening system to continuously screen the abnormal body temperature of the crowd for a long time, but also can reduce the workload of the user and improve the working efficiency.
Drawings
FIG. 1 is a schematic diagram of a temperature anomaly screening method of the present invention;
fig. 2 is a block diagram of a temperature anomaly screening system according to the present invention.
Detailed Description
The principles and features of this invention are described below in conjunction with the following drawings, which are set forth by way of illustration only and are not intended to limit the scope of the invention.
Example one
As shown in fig. 1, a method for screening for temperature anomaly includes the steps of,
s1, acquiring temperature data of the object to be measured;
s2, judging whether the dynamic temperature threshold is available, if not, executing S3, if so, executing S4;
s3, using a fixed temperature threshold value as a judgment reference, judging whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if not, recording the temperature data;
s4, using the dynamic temperature threshold value as a judgment reference to judge whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if so, recording the normal temperature data;
and S5, updating the dynamic temperature threshold according to the recorded temperature data based on the principle of exponential moving average, and returning to S1 for the next round of measurement.
In the specific embodiment, when a person enters the temperature measurement area, the visible light imaging firstly identifies the face of the pedestrian in the area, the infrared thermometer measures the temperature of the visible light identification face in the face identification sequence to the area of the face, and whether the temperature data is abnormal is judged by using the fixed temperature threshold value or the dynamic temperature threshold value. The temperature data of the normal body temperature person is recorded and participates in the calculation of the dynamic temperature threshold, the dynamic temperature threshold is updated for continuous judgment, and the pedestrian can pass through the dynamic temperature threshold quickly; and if the body temperature is detected to be abnormal, immediately photographing the face of the pedestrian, recording and giving an alarm to wait for the subsequent treatment of related workers.
The fixed temperature threshold is often used as a standard for measuring whether the body temperature of a tested person is abnormal, in order to screen the person with abnormal body temperature in a crowd without temperature reference correction, a relative dynamic temperature threshold is used as a judgment standard of abnormal body temperature in the technical scheme, and the pedestrians with body temperature exceeding the body temperature of a crowd sample relative to the reference body temperature are screened.
Because the infrared detector has irregular change, the measured values of objects with the same temperature greatly change at different moments in an unstable stage, so the average value cannot be simply used for representing the body temperature reference of a group, and the change trend of the detector needs to be considered. The exponential moving average value is a trend index, is an exponential descending weighted moving average value, and is used for carrying out value taking on the normal body temperature which is subjected to temperature measurement in sequence. In order to enable the reference body temperature of the crowd to be the same as the temperature measurement change trend of the infrared detector as far as possible, the dynamic temperature threshold reference is obtained by a method of weighting and averaging an array formed by normal temperature data, and the formula of exponential moving average is as follows:
EMA in formula (1)N(xn) Is a sequence { xnThe term up to the nth term is the exponential moving average with a value period of N, i.e. the dynamic temperature threshold, xnFor the temperature data recorded at the nth, N is the sequence { x }nThe value period from the nth term, i.e. the predetermined threshold value, β is a weight parameter, and
as is apparent from equation (1), the more time is near the current time, the more weight is added to the data. The recursive formula is derived from equation (1) as follows:
order to
And the formula (3) has the following components: EMAN(xn)＝(1-β)EMAN(xn-1)+βxn。
In the formula (1), the selection of the N value is negatively correlated with the intensity of the temperature drift of the infrared detector, that is, the more the temperature drift is, the smaller the value of N is, in this embodiment, the preset threshold N related to the calculation of the exponential moving average value is 15, that is, the exponential moving average value is calculated by using the 15 detected normal body temperature values, and the value β is 0.125 by calculation.
The dynamic temperature threshold value obtained by calculation can tend to change cooperatively with the change of the temperature measurement of the infrared sensor, so that the body temperature measurement value is kept relatively stable, abnormal body temperature persons are screened according to the average value of the normal body temperature of relatively stable people, the infrared thermometer does not need to be subjected to temperature correction in use, and the abnormal body temperature can be stably detected and screened for a long time.
In this embodiment, the specific method for determining whether the dynamic temperature threshold is available in S2 is to count whether the recorded number of the temperature data reaches a preset threshold; if so, judging that the dynamic temperature threshold is available, and calculating the dynamic temperature threshold according to the recorded temperature data; if not, determining that the dynamic temperature threshold is unavailable. That is, when the recorded temperature data does not reach N-15, the dynamic temperature threshold is not available.
In this embodiment, when calculating the dynamic temperature threshold, each group of 15 normal temperature data is required, and each time a normal temperature data is added, the longest normal temperature data is subtracted and the exponential moving average value is recalculated, that is, the dynamic temperature threshold is updated once.
The method utilizes measured and recorded normal body temperature data as a dynamic warning value for abnormal body temperature detection through statistical calculation, and utilizes the characteristic that the temperature difference is kept unchanged while the temperature reference of the infrared thermometer is changed, so that the screening of abnormal body temperature people among people can be realized under the condition of temperature drift; in addition, the invention does not need to frequently calibrate the temperature of the infrared temperature measurement system, but adopts the index moving average value to carry out weighted average on data as a dynamic temperature threshold value, the dynamic temperature threshold value fully considers irregular infrared detection offset components, and realizes the screening by using the relative temperature difference as the abnormal body temperature. The invention not only can enable the infrared quick screening system to continuously screen the abnormal body temperature of the crowd for a long time, but also can reduce the workload of the user and improve the working efficiency.
Example two
As shown in fig. 2, a temperature anomaly screening system includes the following modules,
the temperature measurement module is used for acquiring temperature data of an object to be measured;
the dynamic temperature threshold value available judging module is used for judging whether the dynamic temperature threshold value is available or not, if not, the dynamic temperature threshold value available judging module is connected with the fixed temperature threshold value judging module, and if the dynamic temperature threshold value is available, the dynamic temperature threshold value available judging module is connected with the fixed temperature threshold value judging module;
the fixed temperature threshold judging module is used for judging whether the temperature data is abnormal or not by using a fixed temperature threshold as a judging reference, alarming and discarding the temperature data if the temperature data is abnormal, and recording the temperature data if the temperature data is normal;
the dynamic temperature threshold judging module is used for judging whether the temperature data is abnormal or not by using the dynamic temperature threshold as a judging reference, alarming and discarding the temperature data if the temperature data is abnormal, and recording the normal temperature data if the temperature data is normal;
and the updating circulation module is based on an exponential moving average principle, updates the dynamic temperature threshold according to the recorded temperature data, is connected with the temperature measurement module and performs the next round of measurement.
EXAMPLE III
A computer storage medium comprising a memory and a computer program stored in the memory, which computer program, when being executed by a processor, carries out the method steps as set forth above.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (7)
1. A method for screening temperature anomaly, which is characterized by comprising the following steps: comprises the following steps of (a) carrying out,
s1, acquiring temperature data of the object to be measured;
s2, judging whether the dynamic temperature threshold is available, if not, executing S3, if so, executing S4;
s3, using a fixed temperature threshold value as a judgment reference, judging whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if not, recording the temperature data;
s4, using the dynamic temperature threshold value as a judgment reference to judge whether the temperature data is abnormal, if so, alarming and discarding the temperature data, and if not, recording the temperature data;
and S5, updating the dynamic temperature threshold according to the recorded temperature data based on the principle of exponential moving average, and returning to S1 for the next round of measurement.
2. The method for screening temperature abnormality according to claim 1, characterized in that: the specific method for judging whether the dynamic temperature threshold is available in S2 is to count whether the number of records of the temperature data reaches a preset threshold; if so, judging that the dynamic temperature threshold is available, and calculating the dynamic temperature threshold according to the recorded temperature data; if not, determining that the dynamic temperature threshold is unavailable.
3. The method for screening temperature abnormality according to claim 2, characterized in that: calculating the dynamic temperature threshold using an exponential moving average formula, the exponential moving average formula being EMAN(xn)＝(1-β)EMAN(xn-1)+βxn；
Wherein, EMAN(xn) Is a sequence { xnThe term up to the nth term is the exponential moving average with a value period of N, i.e. the dynamic temperature threshold, xnFor the temperature data recorded at the nth, N is the sequence { x }nThe value period from the nth term, i.e. the predetermined threshold value, β is a weight parameter, and
4. the method for screening temperature abnormality according to any one of claims 1 to 3, characterized in that: the initial value of the dynamic temperature threshold is,
5. the method for screening temperature abnormality according to claim 1, characterized in that: the S1 is specifically to identify the object to be measured in the temperature measurement area by using visible light imaging, and obtain temperature data of the object to be measured by using the infrared thermometer according to the visible light identification sequence.
6. A temperature anomaly screening system, characterized by: comprises the following modules which are used for realizing the functions of the system,
the temperature measurement module is used for acquiring temperature data of an object to be measured;
the dynamic temperature threshold value available judging module is used for judging whether the dynamic temperature threshold value is available or not, if not, the dynamic temperature threshold value available judging module is connected with the fixed temperature threshold value judging module, and if the dynamic temperature threshold value is available, the dynamic temperature threshold value available judging module is connected with the fixed temperature threshold value judging module;
the fixed temperature threshold judging module is used for judging whether the temperature data is abnormal or not by using a fixed temperature threshold as a judging reference, alarming and discarding the temperature data if the temperature data is abnormal, and recording the temperature data if the temperature data is normal;
the dynamic temperature threshold judging module is used for judging whether the temperature data is abnormal or not by using the dynamic temperature threshold as a judging reference, alarming and discarding the temperature data if the temperature data is abnormal, and recording the normal temperature data if the temperature data is normal;
and the updating circulation module is based on an exponential moving average principle, updates the dynamic temperature threshold according to the recorded temperature data, is connected with the temperature measurement module and performs the next round of measurement.
7. A computer storage medium, characterized in that: comprising a memory and a computer program stored in the memory, which computer program, when being executed by a processor, carries out the method steps of any one of claims 1 to 5.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111829665A (en) * | 2020-07-16 | 2020-10-27 | 深兰自动驾驶研究院(山东)有限公司 | Method, device and storage medium for measuring body temperature based on human body as virtual blackbody |
| CN111982299A (en) * | 2020-08-14 | 2020-11-24 | 国家卫星气象中心(国家空间天气监测预警中心) | Dynamic data quality scoring method and system for satellite-borne microwave radiometer |
| CN112284548A (en) * | 2020-10-22 | 2021-01-29 | 深圳市思米电子有限公司 | Infrared temperature measurement method, device, equipment and storage medium |
| CN112541550A (en) * | 2020-12-16 | 2021-03-23 | 南京掌控网络科技有限公司 | Refrigerator integrity judgment method based on image classification and electronic equipment |
| CN113029392A (en) * | 2021-04-15 | 2021-06-25 | 高创(苏州)电子有限公司 | Body temperature measuring method and device and electronic equipment |
| CN115046570A (en) * | 2022-08-15 | 2022-09-13 | 深圳华大北斗科技股份有限公司 | Automatic temperature compensation method for inclination angle of antenna attitude instrument |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090072795A1 (en) * | 2003-07-03 | 2009-03-19 | Lovett Simon J | Temperature sensing device in an integrated circuit |
| CN102319060A (en) * | 2011-09-19 | 2012-01-18 | 广州天绎智能科技有限公司 | Abnormal body temperature detection method and detection system |
| CN103888315A (en) * | 2014-03-24 | 2014-06-25 | 北京邮电大学 | Self-adaptation burst flow detection device and detection method thereof |
| CN104913803A (en) * | 2014-03-11 | 2015-09-16 | 通用汽车环球科技运作有限责任公司 | Method and system for detection of erratic sensor using dynamic threshold |
| CN108896193A (en) * | 2018-07-12 | 2018-11-27 | 黑龙江科技大学 | A kind of the temperature monitoring early warning system and method for high-voltage switch cabinet of transformer substation |
| CN109347124A (en) * | 2018-11-29 | 2019-02-15 | 国网江苏省电力有限公司南京供电分公司 | Method and apparatus is stabilized using the electric heating microgrid dominant eigenvalues of regenerative heat pump group |
| CN109656793A (en) * | 2018-11-22 | 2019-04-19 | 安徽继远软件有限公司 | A kind of information system performance stereoscopic monitoring method based on multi-source heterogeneous data fusion |
-
2020
- 2020-03-19 CN CN202010193701.7A patent/CN111366270B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090072795A1 (en) * | 2003-07-03 | 2009-03-19 | Lovett Simon J | Temperature sensing device in an integrated circuit |
| CN102319060A (en) * | 2011-09-19 | 2012-01-18 | 广州天绎智能科技有限公司 | Abnormal body temperature detection method and detection system |
| CN104913803A (en) * | 2014-03-11 | 2015-09-16 | 通用汽车环球科技运作有限责任公司 | Method and system for detection of erratic sensor using dynamic threshold |
| CN103888315A (en) * | 2014-03-24 | 2014-06-25 | 北京邮电大学 | Self-adaptation burst flow detection device and detection method thereof |
| CN108896193A (en) * | 2018-07-12 | 2018-11-27 | 黑龙江科技大学 | A kind of the temperature monitoring early warning system and method for high-voltage switch cabinet of transformer substation |
| CN109656793A (en) * | 2018-11-22 | 2019-04-19 | 安徽继远软件有限公司 | A kind of information system performance stereoscopic monitoring method based on multi-source heterogeneous data fusion |
| CN109347124A (en) * | 2018-11-29 | 2019-02-15 | 国网江苏省电力有限公司南京供电分公司 | Method and apparatus is stabilized using the electric heating microgrid dominant eigenvalues of regenerative heat pump group |
Non-Patent Citations (1)
| Title |
|---|
| 阎达五: "《财务会计审计计算知识大全》", 31 May 1991 * |
Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111829665A (en) * | 2020-07-16 | 2020-10-27 | 深兰自动驾驶研究院(山东)有限公司 | Method, device and storage medium for measuring body temperature based on human body as virtual blackbody |
| CN111982299A (en) * | 2020-08-14 | 2020-11-24 | 国家卫星气象中心(国家空间天气监测预警中心) | Dynamic data quality scoring method and system for satellite-borne microwave radiometer |
| CN111982299B (en) * | 2020-08-14 | 2021-08-17 | 国家卫星气象中心(国家空间天气监测预警中心) | Dynamic data quality scoring method and system for satellite-borne microwave radiometer |
| CN112284548A (en) * | 2020-10-22 | 2021-01-29 | 深圳市思米电子有限公司 | Infrared temperature measurement method, device, equipment and storage medium |
| CN112541550A (en) * | 2020-12-16 | 2021-03-23 | 南京掌控网络科技有限公司 | Refrigerator integrity judgment method based on image classification and electronic equipment |
| CN113029392A (en) * | 2021-04-15 | 2021-06-25 | 高创(苏州)电子有限公司 | Body temperature measuring method and device and electronic equipment |
| CN113029392B (en) * | 2021-04-15 | 2024-05-31 | 高创(苏州)电子有限公司 | Body temperature measurement method and device and electronic equipment |
| CN115046570A (en) * | 2022-08-15 | 2022-09-13 | 深圳华大北斗科技股份有限公司 | Automatic temperature compensation method for inclination angle of antenna attitude instrument |
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