CN111582097A - Epidemic situation monitoring system - Google Patents
Epidemic situation monitoring system Download PDFInfo
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- CN111582097A CN111582097A CN202010348149.4A CN202010348149A CN111582097A CN 111582097 A CN111582097 A CN 111582097A CN 202010348149 A CN202010348149 A CN 202010348149A CN 111582097 A CN111582097 A CN 111582097A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 57
- 230000002265 prevention Effects 0.000 claims abstract description 26
- 230000036760 body temperature Effects 0.000 claims abstract description 20
- 238000012360 testing method Methods 0.000 claims abstract description 18
- 238000004422 calculation algorithm Methods 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims abstract description 4
- 238000009529 body temperature measurement Methods 0.000 claims description 18
- 230000001413 cellular effect Effects 0.000 claims description 9
- 238000003384 imaging method Methods 0.000 claims description 9
- 230000006855 networking Effects 0.000 claims description 7
- 241000700605 Viruses Species 0.000 claims description 3
- 230000002159 abnormal effect Effects 0.000 claims description 3
- 238000001931 thermography Methods 0.000 claims description 3
- 206010037660 Pyrexia Diseases 0.000 description 3
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007717 exclusion Effects 0.000 description 1
- 230000036541 health Effects 0.000 description 1
- 238000002372 labelling Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000005180 public health Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06K—GRAPHICAL DATA READING; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K17/00—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations
- G06K17/0022—Methods or arrangements for effecting co-operative working between equipments covered by two or more of main groups G06K1/00 - G06K15/00, e.g. automatic card files incorporating conveying and reading operations arrangements or provisious for transferring data to distant stations, e.g. from a sensing device
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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
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
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Abstract
The invention discloses an epidemic situation monitoring system, and belongs to the technical field of Internet of things. The system comprises a cloud server and a monitoring end, wherein the cloud server comprises identity information of an object to be detected and is used for monitoring and analyzing epidemic situation data and commanding and scheduling epidemic prevention personnel to carry out epidemic prevention; the monitoring end is used for monitoring the face information and the body temperature information of the person passing through the testing channel, and is loaded with a prevention and control software platform, so that the detected data can be analyzed, and the processed information is sent to the cloud server for connection; personnel pass through the test channel, the monitoring end records personnel images in real time and transmits the personnel images to the PC end, and the prevention and control platform software of the monitoring end processes and calculates the images transmitted back by the camera in real time by means of black body data and a face recognition algorithm. The invention can effectively monitor epidemic situation data.
Description
Technical Field
The invention belongs to the technical field of Internet of things, and particularly relates to an epidemic situation monitoring system.
Background
Epidemic control and monitoring are also a major task in public health services today. However, at present, all fever epidemics are reported to a government disease control center after statistics of fever crowds by hospitals, so that the epidemic situations are controlled under the intervention of the disease control center and health departments. The mode reported by the hospital statistics belongs to a post statistics type, namely the epidemic situation can be known after the epidemic situation is generated in a larger scale, the control and the processing of the epidemic situation are not facilitated, and the control can not be realized just when the epidemic situation occurs or is in a potential occurrence period.
Disclosure of Invention
The invention aims to provide an epidemic situation monitoring system which can effectively monitor epidemic situation data.
In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
an epidemic situation monitoring system comprises a cloud server and a monitoring end;
the cloud server comprises identity information of the object to be detected, and is used for monitoring and analyzing epidemic situation data, commanding and scheduling epidemic prevention personnel to carry out epidemic prevention; the monitoring end is used for monitoring the face information and the body temperature information of the person passing through the testing channel, and is loaded with a prevention and control software platform, so that the detected data can be analyzed, and the processed information is sent to the cloud server for connection;
personnel pass through the test channel, the monitoring end records personnel images in real time and transmits the personnel images to the PC end, the prevention and control platform software of the monitoring end processes the images returned by the camera in real time by means of black body data and a face recognition algorithm, the test temperature matched with the face in the images is calculated, and then temperature measurement data and alarm video are transmitted to the cloud server through cellular network equipment; the prevention and control software utilizes a face recognition local library to combine with a face recognition algorithm to recognize and label returned face data, the face data which cannot be recognized are uploaded to a cloud server by means of cellular network networking equipment, the face data are recognized and labeled by a cloud face big database, and the recognized face label data can be used for the monitoring center to check suspicious personnel; the cloud server collects and analyzes data of each epidemic situation prevention and control platform, body temperature monitoring data of each region, particularly key prevention and control regions, can be known in real time, abnormal body temperature personnel can be found in time by related organizations and units, a rapid intervention means is executed, and the danger that the virus epidemic situation is spread by infected personnel in a large range in public places is prevented.
Further, the identity information comprises face information of the object to be detected and a name of the object to be detected; the monitoring end shoots the face of the object to be detected and sends the face image to the cloud server, and the cloud server confirms the name of the object to be detected according to the face image.
Further, the monitoring end includes human temperature measurement imaging camera, human temperature measurement black body, handheld check and control terminal, computer and based on the honeycomb network networking of eSIM, human temperature measurement imaging camera and human temperature measurement black body are located in the test channel, and when personnel passed through the test channel, the human imaging camera who carries out the video recording in real time returned the PC end with the image, with the help of temperature measurement black body and relevant thermal imaging body temperature calculation algorithm, the PC end was in real time with personnel's body temperature display on monitoring platform and was reported to the police to super temperature personnel's image.
Further, the cloud server further comprises map information, and when the body temperature of the testee exceeds a preset value, areas with concentrated marks are marked on the electronic map and an alarm is given out.
Further, the cloud server further comprises the travel information of the person to be detected.
Furthermore, the monitoring terminal communicates with the cloud server through a 4G or 5G network.
Due to the adoption of the technical scheme, the invention has the following beneficial effects:
1. the system can identify the identity of a detected object through the monitoring end and monitor the body temperature of the detected object, so that the state of the fever epidemic situation is rapidly screened and judged.
2. The cellular network networking equipment (4G or 5G CPE) based on the eSIM can select the network with the best quality according to the network condition of the system deployment on the spot, and ensures that real-time monitoring data can be uploaded to a cloud monitoring center in time. The cloud monitoring center mainly comprises a prevention and control center web platform for displaying and managing users, a big data platform for collecting and processing a large amount of monitoring data, a cloud storage platform for storing mass data, and a face recognition AI system for matching and labeling face recognition data.
Drawings
FIG. 1 is a flow chart of an epidemic monitoring connection system according to the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Throughout the specification and claims, unless explicitly stated otherwise, the word "comprise", or variations such as "comprises" or "comprising", will be understood to imply the inclusion of a stated element or component but not the exclusion of any other element or component.
As shown in fig. 1, an epidemic situation monitoring system includes a cloud server and a monitoring end; the cloud server comprises identity information of the object to be detected, and is used for monitoring and analyzing epidemic situation data, commanding and scheduling epidemic prevention personnel to carry out epidemic prevention; the monitoring end is used for monitoring face information and body temperature information of a person passing through the testing channel, is loaded with a prevention and control software platform, can analyze detected data, and sends processed information to the cloud server for connection.
Personnel pass through the test channel, the monitoring end records personnel images in real time and transmits the personnel images to the PC end, the prevention and control platform software of the monitoring end processes the images returned by the camera in real time by means of black body data and a face recognition algorithm, the test temperature matched with the face in the images is calculated, and then temperature measurement data and alarm video are transmitted to the cloud server through cellular network equipment; the prevention and control software utilizes a face recognition local library to combine with a face recognition algorithm to recognize and label returned face data, the face data which cannot be recognized are uploaded to a cloud server by means of cellular network networking equipment, the face data are recognized and labeled by a cloud face big database, and the recognized face label data can be used for the monitoring center to check suspicious personnel; the cloud server collects and analyzes data of each epidemic situation prevention and control platform, body temperature monitoring data of each region, particularly key prevention and control regions, can be known in real time, abnormal body temperature personnel can be found in time by related organizations and units, a rapid intervention means is executed, and the danger that the virus epidemic situation is spread by infected personnel in a large range in public places is prevented.
The identity information comprises face information of the object to be detected and the name of the object to be detected; the monitoring end shoots the face of the object to be detected and sends the face image to the cloud server, and the cloud server confirms the name of the object to be detected according to the face image. The monitoring terminal includes human temperature measurement imaging camera, human temperature measurement black body, handheld check and control terminal, computer and based on the honeycomb network networking of eSIM, human temperature measurement imaging camera and human temperature measurement black body are located in the test channel, and when personnel passed through the test channel, the human imaging camera who carries out the video recording in real time returned the image PC end, with the help of temperature measurement black body and relevant thermal imaging body temperature calculation algorithm, the PC end was in real time with personnel's body temperature demonstration on monitoring platform and is reported to the police to super temperature personnel's image.
The working principle of the eSIM-based cellular network networking equipment (4G or 5G CPE) is as follows: the equipment installer tests the local network condition through the mobile phone; after the equipment is started, an installer uses a CPE management APP to connect to the equipment through Bluetooth, and then selects and orders an operator package with the strongest network signal; after ordering is completed, the cloud server further comprises map information, and when the body temperature of the tested person exceeds a preset value, an area with concentrated marks is marked on the electronic map and an alarm is given out. The cloud server further comprises the travel information of the person to be detected, and the monitoring end is communicated with the cloud server through a 4G or 5G network.
The above description is directed to the preferred embodiments of the present invention, but the embodiments are not intended to limit the scope of the claims of the present invention, and all equivalent changes and modifications made within the technical spirit of the present invention should fall within the scope of the claims of the present invention.
Claims (6)
1. An epidemic situation monitoring system is characterized by comprising a cloud server and a monitoring end;
the cloud server comprises identity information of the object to be detected, and is used for monitoring and analyzing epidemic situation data, commanding and scheduling epidemic prevention personnel to carry out epidemic prevention; the monitoring end is used for monitoring the face information and the body temperature information of the person passing through the testing channel, and is loaded with a prevention and control software platform, so that the detected data can be analyzed, and the processed information is sent to the cloud server for connection;
personnel pass through the test channel, the monitoring end records personnel images in real time and transmits the personnel images to the PC end, the prevention and control platform software of the monitoring end processes the images returned by the camera in real time by means of black body data and a face recognition algorithm, the test temperature matched with the face in the images is calculated, and then temperature measurement data and alarm video are transmitted to the cloud server through cellular network equipment; the prevention and control software utilizes a face recognition local library to combine with a face recognition algorithm to recognize and label returned face data, the face data which cannot be recognized are uploaded to a cloud server by means of cellular network networking equipment, the face data are recognized and labeled by a cloud face big database, and the recognized face label data can be used for the monitoring center to check suspicious personnel; the cloud server collects and analyzes data of each epidemic situation prevention and control platform, body temperature monitoring data of each region, particularly key prevention and control regions, can be known in real time, abnormal body temperature personnel can be found in time by related organizations and units, a rapid intervention means is executed, and the danger that the virus epidemic situation is spread by infected personnel in a large range in public places is prevented.
2. An epidemic monitoring system as in claim 1, wherein the identity information comprises face information of the object to be detected, name of the object to be detected; the monitoring end shoots the face of the object to be detected and sends the face image to the cloud server, and the cloud server confirms the name of the object to be detected according to the face image.
3. An epidemic monitoring system as claimed in claim 1, wherein the monitoring end comprises a human body temperature measurement imaging camera, a human body temperature measurement black body, a handheld check and control terminal, a computer and a cellular network based on eSIM, the human body temperature measurement imaging camera and the human body temperature measurement black body are arranged in a test channel, when a person passes through the test channel, the human body imaging camera which records video in real time sends an image back to the PC end, and the PC end displays the body temperature of the person on the monitoring platform in real time and gives an alarm for the image of the person with excessive temperature by means of the temperature measurement black body and a related thermal imaging body temperature calculation algorithm.
4. An epidemic situation monitoring system according to claim 1, wherein the cloud server further comprises map information, and when the body temperature of the tested person exceeds a preset value, areas with concentrated marks are marked on the electronic map and an alarm is given.
5. An epidemic monitoring system, as claimed in claim 1, wherein the cloud server further comprises trip information of the person to be detected.
6. An epidemic monitoring system according to claim 1, wherein the monitoring end communicates with the cloud server via a 4G or 5G network.
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| CN202010348149.4A CN111582097A (en) | 2020-04-28 | 2020-04-28 | Epidemic situation monitoring system |
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| CN202010348149.4A CN111582097A (en) | 2020-04-28 | 2020-04-28 | Epidemic situation monitoring system |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112168148A (en) * | 2020-08-28 | 2021-01-05 | 广东亚灏科技有限公司 | Intelligent body temperature monitoring method based on Internet of things technology |
| CN112216398A (en) * | 2020-09-23 | 2021-01-12 | 四川省电子产品监督检验所 | Urban and rural body temperature monitoring, alarming and epidemic preventing system and method based on face recognition |
| CN112258718A (en) * | 2020-09-27 | 2021-01-22 | 中国建设银行股份有限公司 | Human body temperature measurement and personnel identification method and system |
| CN112422641A (en) * | 2020-10-30 | 2021-02-26 | 深圳市美兆环境股份有限公司 | Internet of things equipment normalized epidemic prevention early warning and linkage control method and device |
| CN112472043A (en) * | 2020-11-16 | 2021-03-12 | 深圳市航通智能技术有限公司 | Temperature measurement method, device and system based on infrared imaging and readable storage medium |
| US10991185B1 (en) | 2020-07-20 | 2021-04-27 | Abbott Laboratories | Digital pass verification systems and methods |
| CN112992372A (en) * | 2021-03-09 | 2021-06-18 | 深圳前海微众银行股份有限公司 | Epidemic situation risk monitoring method, device, equipment, storage medium and program product |
| CN113393942A (en) * | 2021-07-01 | 2021-09-14 | 深圳市联影医疗数据服务有限公司 | Epidemic situation prevention and control information system for emergency public health events |
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| CN112216398A (en) * | 2020-09-23 | 2021-01-12 | 四川省电子产品监督检验所 | Urban and rural body temperature monitoring, alarming and epidemic preventing system and method based on face recognition |
| CN112258718A (en) * | 2020-09-27 | 2021-01-22 | 中国建设银行股份有限公司 | Human body temperature measurement and personnel identification method and system |
| CN112422641A (en) * | 2020-10-30 | 2021-02-26 | 深圳市美兆环境股份有限公司 | Internet of things equipment normalized epidemic prevention early warning and linkage control method and device |
| CN112422641B (en) * | 2020-10-30 | 2023-10-24 | 深圳市美兆环境股份有限公司 | Method and device for normalized epidemic prevention early warning and linkage control of Internet of things equipment |
| CN112472043A (en) * | 2020-11-16 | 2021-03-12 | 深圳市航通智能技术有限公司 | Temperature measurement method, device and system based on infrared imaging and readable storage medium |
| CN112992372A (en) * | 2021-03-09 | 2021-06-18 | 深圳前海微众银行股份有限公司 | Epidemic situation risk monitoring method, device, equipment, storage medium and program product |
| CN113393942A (en) * | 2021-07-01 | 2021-09-14 | 深圳市联影医疗数据服务有限公司 | Epidemic situation prevention and control information system for emergency public health events |
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Application publication date: 20200825 |
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