CN114708711A - Epidemic situation alarm method and system based on machine vision - Google Patents
Epidemic situation alarm method and system based on machine vision Download PDFInfo
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- CN114708711A CN114708711A CN202210330626.3A CN202210330626A CN114708711A CN 114708711 A CN114708711 A CN 114708711A CN 202210330626 A CN202210330626 A CN 202210330626A CN 114708711 A CN114708711 A CN 114708711A
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 230000036760 body temperature Effects 0.000 claims abstract description 39
- 230000002159 abnormal effect Effects 0.000 claims abstract description 15
- 230000002265 prevention Effects 0.000 claims abstract description 13
- 241000282414 Homo sapiens Species 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 6
- 238000005516 engineering process Methods 0.000 claims description 6
- 201000010099 disease Diseases 0.000 claims description 5
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims description 5
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000011835 investigation Methods 0.000 claims description 3
- 238000012806 monitoring device Methods 0.000 claims description 3
- 238000012800 visualization Methods 0.000 claims description 3
- 230000001960 triggered effect Effects 0.000 claims 1
- 238000012544 monitoring process Methods 0.000 abstract description 7
- 244000052769 pathogen Species 0.000 description 6
- 230000001717 pathogenic effect Effects 0.000 description 5
- 208000015181 infectious disease Diseases 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 150000007523 nucleic acids Chemical class 0.000 description 2
- 102000039446 nucleic acids Human genes 0.000 description 2
- 108020004707 nucleic acids Proteins 0.000 description 2
- 208000003322 Coinfection Diseases 0.000 description 1
- 208000035473 Communicable disease Diseases 0.000 description 1
- 241000423790 Pseudophycis bachus Species 0.000 description 1
- 238000009529 body temperature measurement Methods 0.000 description 1
- 230000006870 function Effects 0.000 description 1
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- 230000000750 progressive effect Effects 0.000 description 1
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/182—Level alarms, e.g. alarms responsive to variables exceeding a threshold
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/117—Identification of persons
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/10—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors
- G01J5/28—Radiation pyrometry, e.g. infrared or optical thermometry using electric radiation detectors using photoemissive or photovoltaic cells
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B25/00—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems
- G08B25/01—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium
- G08B25/08—Alarm systems in which the location of the alarm condition is signalled to a central station, e.g. fire or police telegraphic systems characterised by the transmission medium using communication transmission lines
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B3/00—Audible signalling systems; Audible personal calling systems
- G08B3/10—Audible signalling systems; Audible personal calling systems using electric transmission; using electromagnetic transmission
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The invention discloses an epidemic situation alarming method and system based on machine vision, and relates to the field of machine vision. The invention comprises the following steps: acquiring personal information and body temperature indexes of individuals in the current gathered crowd; comparing the body temperature index with a preset body temperature threshold value; when the body temperature is abnormal: sending out alarms with different levels according to the body temperature data, and marking individuals in the current gathered crowd; when the body temperature is normal: and comparing the personal information with the flow regulation information in the epidemic situation prevention and control network to determine whether the individual reaches an excessively high risk area, if so, sending alarms of different levels according to the risk level, and marking the individuals in the current gathered crowd. The invention realizes the digital, automatic, intelligent, miniaturized and mobile management of epidemic situation report and monitoring, thereby greatly improving the work efficiency of epidemic situation management.
Description
Technical Field
The invention relates to the field of machine vision, in particular to an epidemic situation alarm method and system based on machine vision.
Background
The epidemic situation of a large range of infectious diseases in the history of human beings frequently occurs, and the indirect influence on economy and the harm to social stability are very serious. When people gather, the risk of epidemic situation is correspondingly increased. Therefore, effective epidemic monitoring is of great importance.
At present, in the prior art, only temperature measurement can be carried out on individuals in crowds, and close monitoring on various information of the crowds cannot be realized. Therefore, the technical personnel in the field need to solve the problem of how to efficiently and accurately judge the epidemic situation risk by monitoring the gathered people in real time.
Disclosure of Invention
In view of the above, the present invention provides an epidemic situation warning method and system based on machine vision, so as to solve the problems existing in the background art.
In order to achieve the purpose, the invention adopts the following technical scheme:
an epidemic situation alarming method based on machine vision comprises the following steps:
acquiring personal information and body temperature indexes of individuals in the current gathered crowd;
comparing the body temperature index with a preset body temperature threshold value;
when the body temperature is abnormal: sending out alarms with different levels according to the body temperature data, and marking individuals in the current gathered crowd;
when the body temperature is normal: and comparing the personal information with the flow regulation information in the epidemic situation prevention and control network to determine whether the individual reaches an excessively high risk area, if so, sending alarms of different levels according to the risk level, and marking the individuals in the current gathered crowd.
Optionally, the method further includes investigating the individuals who trigger the alarm according to the alarm information, and when the investigation result is normal, removing the alarm and removing the mark of the marked individuals.
Optionally, the method further includes acquiring the number of the current crowd and the number of people contacted by each individual, and storing the number of the current crowd and the number of people contacted by each individual.
Optionally, the obtaining of the personal information and the body temperature index of the individuals in the current aggregated population specifically includes: the face information is acquired through the monitoring device, and the individual body temperature index is acquired through an infrared human body detection technology.
Optionally, the method further comprises the step of investigating the abnormal information and transmitting the abnormal information determined to be free of errors to the disease control center through the LoRa wireless communication technology.
An epidemic alarm system based on machine vision, comprising:
people flow data acquisition module: the system is used for acquiring the number of the current crowds, and also used for acquiring the individual information and the individual body temperature of the current crowds;
the network epidemic situation data acquisition module: the system is used for acquiring individual information and flow modulation information in the epidemic situation prevention and control network;
a data comparison module: the device is used for comparing the body temperature of an individual with a preset threshold value; the system is also used for comparing the information of the current crowd gathering individuals with the abnormal information in the epidemic situation prevention and control network;
an alarm module: and judging whether to give an alarm or not according to the comparison result.
Optionally, the system further comprises a visualization module: the human face information and the body temperature information are displayed.
Optionally, the system further includes a data uploading module: and the system is used for transmitting the abnormal data to the epidemic situation prevention and control network.
According to the technical scheme, compared with the prior art, the invention discloses and provides the epidemic situation alarming method and system based on machine vision, so that the digitalized, automatic, intelligent, miniaturized and mobile management of epidemic situation report and monitoring is realized, and the work efficiency of epidemic situation management is greatly improved; meanwhile, the system can replace manual automatic identification of real-time health codes and dynamic travel codes of people entering and leaving, screen shots, red codes and yellow codes are discriminated, voice broadcasting is carried out for forbidding passage, omission is reduced, and working efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a schematic structural diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The embodiment of the invention discloses an epidemic situation alarming method based on machine vision, which comprises the following steps as shown in figure 1:
acquiring personal information and body temperature indexes of individuals in the current gathered crowd;
comparing the body temperature index with a preset body temperature threshold value;
when the body temperature is abnormal: sending out alarms with different levels according to the body temperature data, and marking individuals in the current gathered crowd;
when the body temperature is normal: and comparing the personal information with the flow regulation information in the epidemic situation prevention and control network to determine whether the individual reaches an excessively high risk area, if so, sending alarms of different levels according to the risk level, and marking the individuals in the current gathered crowd.
Specifically, the time of an infected person appearing in each subarea is collected, the subareas are sorted according to the sequence from far to near of the appearing time of the infected person, and the first sorted subarea is marked as an occurrence area; collecting the time period of the second occurrence of the infected person in the corresponding area by taking the time of the first occurrence of the infected person as a time monitoring starting point; repeatedly monitoring the time period of an infected person appearing in each subarea, and marking the shortest time period as a real-time latency; collecting the disease onset time of the infected persons in each subregion in real time, analyzing the corresponding disease onset time and the real-time latency, and collecting the time when the infected persons infect pathogens; the time when the infected person actually contacts the pathogen is collected through investigation inquiry of workers; if the difference time length between the time when the infected person infects the pathogen and the time when the infected person actually contacts the pathogen is less than the time length threshold value, generating a primary infection signal and sending the primary infection signal to a server; if the difference time length between the time when the infected person infects the pathogen and the time when the infected person actually contacts the pathogen is more than or equal to the time length threshold value, a secondary infection signal is generated and sent to the server.
Further, the method comprises the steps of surveying the individuals triggering the alarm according to the alarm information, and when the survey result is normal, removing the alarm and removing the marks of the marked individuals; the method also comprises the steps of obtaining the number of current crowds and the number of people contacted by each individual, and storing the number of current crowds and the number of people contacted by each individual; the method also comprises the steps of investigating the abnormal information and transmitting the abnormal information without errors to the disease control center through the LoRa wireless communication technology.
Furthermore, the alarm information can be directly broadcast to allow access through a voice broadcast mode, the alarm information is transmitted to current staff on duty, and the staff further confirms whether risks exist. Persons who verify that the health code and the travel code are abnormal are directly out of the way and check whether they have negative nucleic acid detection proofs within 24 hours. If no negative detection proves, nucleic acid detection is needed for admittance.
The method for acquiring the personal information and the body temperature index of the individuals in the current crowd is as follows: the face information is acquired through the monitoring device, and the individual body temperature index is acquired through an infrared human body detection technology.
This embodiment also discloses an epidemic situation alarm system based on machine vision, as shown in fig. 2, includes:
people flow data acquisition module: the system is used for acquiring the number of the current crowds, and also used for acquiring the individual information and the individual body temperature of the current crowds;
the network epidemic situation data acquisition module: the system is used for acquiring individual information and flow modulation information in the epidemic situation prevention and control network;
a data comparison module: the device is used for comparing the body temperature of an individual with a preset threshold value; the system is also used for comparing the information of the current crowd gathering individuals with the abnormal information in the epidemic situation prevention and control network;
an alarm module: and judging whether to give an alarm or not according to the comparison result.
In this embodiment, the method further includes a visualization module: the human face information and the body temperature information are displayed; still include the data upload module: and the system is used for transmitting the abnormal data to the epidemic situation prevention and control network.
Specifically, the epidemic situation staff receive the epidemic situation data automatically sent by the system, after being checked and identified, the epidemic situation data are fed back to the epidemic situation automatic alarm system server according to corresponding and responding number keys on the mobile phone or the computer, and whether the epidemic situation data are automatically reported to the mobile phone or the computer of the hospital leader is determined according to the severity of the epidemic situation. And the system can automatically lock epidemic situation information which is not checked and confirmed by the epidemic situation staff. When the epidemic situation staff are in the office, the epidemic situation computer warning is started, and when the computer warning is turned off due to participation in centralized learning, centralized meetings, holidays, festivals and the like, the mobile phone is started to implement the epidemic situation warning function. Ensure to obtain instant epidemic situation information anytime and anywhere
The embodiments in the present description are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (8)
1. An epidemic situation alarming method based on machine vision is characterized by comprising the following steps:
acquiring personal information and body temperature indexes of individuals in the current gathered crowd;
comparing the body temperature index with a preset body temperature threshold value;
when the body temperature is abnormal: sending out alarms with different levels according to the body temperature data, and marking individuals in the current gathered crowd;
when the body temperature is normal: and comparing the personal information with the flow regulation information in the epidemic situation prevention and control network to determine whether the individual reaches an excessively high risk area, if so, sending alarms of different levels according to the risk level, and marking the individuals in the current gathered crowd.
2. The machine vision-based epidemic situation warning method according to claim 1, further comprising investigating the individuals who triggered the alarm according to the alarm information, and when the investigation result is normal, releasing the alarm and releasing the marking of the individuals who have been marked.
3. The machine vision-based epidemic situation warning method according to claim 1, further comprising obtaining the number of people currently gathered and the number of people each individual contacts, and storing the number of people currently gathered and the number of people each individual contacts.
4. The machine vision-based epidemic situation alarming method according to claim 1, wherein the obtaining of the personal information and body temperature indicators of individuals in the current crowd comprises: the face information is acquired through the monitoring device, and the individual body temperature index is acquired through an infrared human body detection technology.
5. The machine vision-based epidemic situation warning method according to claim 1, further comprising investigating the anomaly information and transmitting the anomaly information determined to be error-free to the disease control center through the LoRa wireless communication technology.
6. An epidemic situation alarm system based on machine vision, which is characterized by comprising:
people flow data acquisition module: the system is used for acquiring the number of the current gathered people, and also used for acquiring the individual information and the individual body temperature of the current gathered people;
the network epidemic situation data acquisition module: the system is used for acquiring individual information and flow modulation information in the epidemic situation prevention and control network;
a data comparison module: the device is used for comparing the body temperature of an individual with a preset threshold value; the system is also used for comparing the information of the current crowd gathering individuals with the abnormal information in the epidemic situation prevention and control network;
an alarm module: and judging whether to give an alarm or not according to the comparison result.
7. The machine vision based epidemic alarm system of claim 6, further comprising a visualization module: the human face information and the body temperature information are displayed.
8. The machine vision based epidemic alarm system of claim 6, further comprising a data upload module: and the system is used for transmitting the abnormal data to the epidemic situation prevention and control network.
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| CN202210330626.3A CN114708711A (en) | 2022-03-31 | 2022-03-31 | Epidemic situation alarm method and system based on machine vision |
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| CN202210330626.3A CN114708711A (en) | 2022-03-31 | 2022-03-31 | Epidemic situation alarm method and system based on machine vision |
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| US20180046778A1 (en) * | 2015-12-28 | 2018-02-15 | National Taiwan University | Fever epidemic detection system and method thereof |
| CN111595453A (en) * | 2020-05-27 | 2020-08-28 | 成都电科崇实科技有限公司 | Infrared temperature measurement system and method based on face recognition |
| CN111863277A (en) * | 2020-07-28 | 2020-10-30 | 张竞博 | Crowd body temperature monitoring system based on big data |
| CN113763613A (en) * | 2021-09-30 | 2021-12-07 | 福建工程学院 | Method and system for managing information of people entering and leaving cell |
| CN114120597A (en) * | 2021-11-26 | 2022-03-01 | 云赛智联股份有限公司 | Public place epidemic situation normalized prevention and control system based on machine vision |
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2022
- 2022-03-31 CN CN202210330626.3A patent/CN114708711A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180046778A1 (en) * | 2015-12-28 | 2018-02-15 | National Taiwan University | Fever epidemic detection system and method thereof |
| CN111595453A (en) * | 2020-05-27 | 2020-08-28 | 成都电科崇实科技有限公司 | Infrared temperature measurement system and method based on face recognition |
| CN111863277A (en) * | 2020-07-28 | 2020-10-30 | 张竞博 | Crowd body temperature monitoring system based on big data |
| CN113763613A (en) * | 2021-09-30 | 2021-12-07 | 福建工程学院 | Method and system for managing information of people entering and leaving cell |
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Application publication date: 20220705 |