CN111261291A - Staff health management system based on infrared perception - Google Patents
Staff health management system based on infrared perception Download PDFInfo
- Publication number
- CN111261291A CN111261291A CN202010022314.7A CN202010022314A CN111261291A CN 111261291 A CN111261291 A CN 111261291A CN 202010022314 A CN202010022314 A CN 202010022314A CN 111261291 A CN111261291 A CN 111261291A
- Authority
- CN
- China
- Prior art keywords
- data
- body temperature
- early warning
- module
- health
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000036541 health Effects 0.000 title claims abstract description 149
- 230000008447 perception Effects 0.000 title claims description 22
- 230000036760 body temperature Effects 0.000 claims abstract description 146
- 238000012544 monitoring process Methods 0.000 claims abstract description 45
- 238000004458 analytical method Methods 0.000 claims abstract description 38
- 230000003862 health status Effects 0.000 claims description 34
- 241001465754 Metazoa Species 0.000 claims description 26
- 238000012545 processing Methods 0.000 claims description 15
- 230000009471 action Effects 0.000 claims description 5
- 238000000034 method Methods 0.000 abstract description 4
- 238000007726 management method Methods 0.000 description 28
- 238000010586 diagram Methods 0.000 description 13
- 206010037660 Pyrexia Diseases 0.000 description 4
- 239000000284 extract Substances 0.000 description 4
- 238000013473 artificial intelligence Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 201000010099 disease Diseases 0.000 description 2
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 208000021760 high fever Diseases 0.000 description 2
- 210000002027 skeletal muscle Anatomy 0.000 description 2
- 206010008531 Chills Diseases 0.000 description 1
- 230000036772 blood pressure Effects 0.000 description 1
- 230000001149 cognitive effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 238000013500 data storage Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 230000003340 mental effect Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 230000007170 pathology Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 239000002510 pyrogen Substances 0.000 description 1
- 230000001960 triggered effect Effects 0.000 description 1
Images
Classifications
-
- 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
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- General Health & Medical Sciences (AREA)
- Public Health (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Biomedical Technology (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- Pathology (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Medical Treatment And Welfare Office Work (AREA)
- Measuring And Recording Apparatus For Diagnosis (AREA)
Abstract
The invention provides an employee health management system based on infrared sensing. The method comprises the following steps: the data acquisition module is used for acquiring employee body temperature data and face data to be recognized; the information identification module is used for identifying the face data to be identified; the health monitoring module analyzes the body temperature data of the staff according to the body temperature health model and sends an analysis result to the early warning module; and the early warning module is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through different early warning modes. According to the invention, the body temperature monitoring model is established, and the current body state of the staff is judged according to the body temperature data of the staff collected in real time, so that the staff can be warned in time, the body health of the staff can be effectively protected in real time, and the belonging feeling of the staff is improved.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an employee health management system based on infrared perception.
Background
The staff is the basis of enterprise development, and the healthy of staff also is the focus of enterprise's concern simultaneously, and in present work, the staff need sit the desk for a long time and carry out work, and mental work time is longer, and sit for a long time and also lack the exercise, and from this time on, the staff's health and work efficiency probably all can descend. And the staff exchange the labor progress through prolonging the labor time under the condition that the work efficiency is reduced, so that the system is not beneficial to the body of the staff, and the cost of an enterprise is increased.
Therefore, need for an staff health management system urgently, can have a preliminary understanding to staff's health state before staff carries out work, not only can in time adjust to staff's health state like this, manage staff's health state, also can not trail the whole progress of work simultaneously yet.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
In view of this, the invention provides an employee health management system based on infrared sensing, and aims to solve the technical problems that in the prior art, before an employee works, the employee has a preliminary understanding on the physical state of the employee, and the health condition of the employee is managed in time.
The technical scheme of the invention is realized as follows:
in one aspect, the present invention provides an infrared perception-based employee health management system, including:
the data acquisition module is used for acquiring employee body temperature data and face data to be recognized;
the information identification module is used for acquiring local face data, generating a face database according to the local face data, identifying the face data to be identified according to the face database, and sending the acquired employee body temperature data to the health monitoring module when the identification is successful; when the identification is not successful, early warning information is sent to an early warning module;
the health monitoring module is used for acquiring the historical body temperature data of local employees and corresponding health status reports, establishing a body temperature health model according to the historical body temperature data of the local employees and the corresponding health status reports, analyzing the body temperature data of the employees according to the body temperature health model, and sending an analysis result to the early warning module;
and the early warning module is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through different early warning modes.
On the basis of the above technical solution, preferably, the data acquisition module includes an infrared sensing and camera module, and is configured to capture biological information within a set range through an infrared temperature sensor and a camera, where the biological information includes: when a biological signal is captured, the system enters a working state; when the biological signal is not captured, part of the system enters a sleep state.
On the basis of the technical scheme, preferably, the data acquisition module further comprises a data processing module for setting a body temperature data format and a face data format, judging the captured biological body temperature data and the biological picture data according to the body temperature data format and the face data format, and reserving the biological body temperature data and the biological picture data which meet the body temperature data format and the face data format as the employee body temperature data and the face data to be recognized; and marking the biological body temperature data and the biological picture data which do not meet the body temperature data format and the face data format as animal data, and sending the animal data and the early warning information to the early warning module.
On the basis of the above technical scheme, preferably, the information recognition module includes an employee identity recognition module, which is used for generating a face database according to local face data, searching the face data to be recognized according to the face database, marking the face data to be recognized as employee data when the face database can find the face data same as the face data to be recognized, and sending the corresponding employee body temperature data to the health monitoring module; and when the face database does not find the face data same as the face data to be recognized, marking the face data to be recognized as visitor data, and sending early warning information to the early warning module.
On the basis of the above technical scheme, preferably, the health monitoring module includes a body temperature health table generation module, which is used for acquiring the historical body temperature data of the local staff and the corresponding health status report, establishing a corresponding body temperature health model according to the historical body temperature data of the local staff and the corresponding health status report, and generating different body temperature value labels.
On the basis of the above technical scheme, preferably, the health monitoring module further includes an employee health status report generation module, which is used for matching different body temperature value labels with employee body temperature data, finding a corresponding health status report from the body temperature health model according to a matching result, combining the health status report with the corresponding employee body temperature data, storing the health status report into the body temperature health model, and sending the health status report to the early warning module.
On the basis of the above technical scheme, preferably, the early warning module comprises an animal early warning driving module for receiving animal data and early warning information sent by the data processing module, searching for relevant sound and light waves for driving the animal from the network, and driving the animal according to the sound and the light waves.
On the basis of the technical scheme, preferably, the early warning module comprises a visitor early warning module used for capturing visitor actions in real time after receiving the employee identity recognition module, retrieving whether a corresponding admission instruction exists locally or not when the visitor is captured to enter a company, and sending warning information to a worker if the visitor does not exist.
On the basis of the above technical scheme, preferably, the early warning module further includes an employee safety early warning module, which is used for receiving the health status report sent by the employee health status report generating module, extracting an analysis result in the health status report, and sending early warning information to the employee and the staff when the analysis result is unhealthy.
Still further preferably, the cognitive cloud system-based blood pressure monitoring device comprises:
the data acquisition unit is used for acquiring body temperature data of the staff and face data to be recognized;
the information identification unit is used for acquiring local face data, generating a face database according to the local face data, identifying the face data to be identified according to the face database, and sending the collected employee body temperature data to the health monitoring module when successful identification is achieved; when the identification is not successful, early warning information is sent to an early warning module;
the health monitoring unit is used for acquiring the historical body temperature data of local staff and a corresponding health state report, establishing a body temperature health model according to the historical body temperature data of the local staff and the corresponding health state report, analyzing the body temperature data of the staff according to the body temperature health model, and sending an analysis result to the early warning module;
and the early warning unit is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through the different early warning modes.
Compared with the prior art, the employee health management system based on infrared perception has the following beneficial effects:
(1) by recording the face data of the employees of the company and forming a corresponding face database, then identifying the acquired face data according to the face database, and carrying out health diagnosis only when the working hours of the employees of the company are identified, the employees of the company and the external personnel can be accurately identified by using the mode, and the safety guarantee of the company can be improved;
(2) through establishing the staff body temperature health model, the staff body temperature data acquired in real time is judged according to the staff body temperature health model, the body health state of the staff is quickly obtained, early warning is timely carried out on the staff, and the staff can be quickly subjected to health early warning by using the method.
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 some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a first embodiment of the present invention, based on infrared sensing, employee health management system;
FIG. 2 is a block diagram of a second embodiment of the employee health management system based on infrared sensing according to the present invention;
FIG. 3 is a block diagram of a third embodiment of the employee health management system based on infrared sensing according to the present invention;
FIG. 4 is a block diagram of a fourth embodiment of the employee health management system based on infrared sensing according to the present invention;
FIG. 5 is a block diagram of a fifth embodiment of the employee health management system based on infrared sensing according to the present invention;
FIG. 6 is a block diagram of a specific implementation flow of the infrared sensing-based employee health management system of the present invention;
fig. 7 is a structural block diagram of an infrared sensing-based employee health management device of the infrared sensing-based employee health management system 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 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 obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, fig. 1 is a block diagram illustrating a first embodiment of an employee health management system based on infrared sensing according to the present invention. Wherein, staff health management system based on infrared perception includes: data acquisition module 10, information identification module 20, health monitoring module 30 and early warning module 40.
The data acquisition module 10 is used for acquiring employee body temperature data and face data to be recognized;
the information identification module 20 is configured to acquire local face data, generate a face database according to the local face data, identify the face data to be identified according to the face database, and send the collected employee body temperature data to the health monitoring module when successful identification is performed; when the identification is not successful, early warning information is sent to an early warning module;
the health monitoring module 30 is used for acquiring the historical body temperature data of local employees and corresponding health status reports, establishing a body temperature health model according to the historical body temperature data of the local employees and the corresponding health status reports, analyzing the body temperature data of the employees according to the body temperature health model, and sending an analysis result to the early warning module;
and the early warning module 40 is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through different early warning modes.
It should be understood that the employee health management system based on infrared sensing in this embodiment is capable of sensing the entrance of a person. When a living being enters, the infrared sensor is activated, the whole system is started, the working state is entered, the sensed data is acquired, the attribute of the living being is judged, when the attribute of the living being is a person, the acquired face and body temperature data and the cloud data are compared and analyzed, the identity of the entering person is confirmed, the physical condition of the entering person is detected, and the health data of the staff are formed into files.
It should be understood that, simultaneously, this system also has attendance function and security protection function, when the biology touches the outer sensing of red, the biological information can be caught to the camera, if be the animal, then can get into the biology and drive the module, if be human, then the future visitor's face information contrasts with the data in high in the clouds, if when the identity confirms that company's staff is man-hour, the system gets into the attendance mode, the system acquires the current time, bind staff information and current time simultaneously, and it is the attendance record to go into the database, entrance guard is open to this user simultaneously. If the identity of the current visitor cannot be judged, the system enters a security mode, the system prompts the current user as a visitor and pushes a real-time message to a foreground, the foreground staff carries out release and registration processing on the visitor information on the system, the system carries out archive processing on the acquired face and the registration information after the registration is finished, if non-company staff do not allow forced gate violation through the company foreground, the system sends a warning message to prompt 'gate violation forbidding', pushes a message to the foreground in real time, pops up a page of whether to alarm or not, the foreground confirms whether to alarm or not, and if the alarm is selected, the system carries out alarm processing through a network telephone.
It should be understood that, in this embodiment, a cloud is also required to provide technical support, where the cloud is a large data platform cluster composed of a plurality of computers, and the platform can integrate the computing power and the storage power of each computer, and conveniently expand the computing power and the storage power, so as to improve the data analysis capability and the data storage capacity. In this embodiment, the cloud end is mainly responsible for storage of employee data, authentication of visitor identities and analysis and processing of body temperature information, wherein the health monitoring center compares a model formed according to historical data of a user, a medical body temperature reference value, current weather information and a model generated by historical weather information to prompt related health information.
Further, as shown in fig. 2, a structural block diagram of a second embodiment of the employee health management system based on infrared sensing is provided based on the above embodiments, in this embodiment, the data acquisition module 10 further includes:
the infrared sensing and camera shooting module 101 is configured to capture biological information within a set range through an infrared temperature sensor and a camera, where the biological information includes: when a biological signal is captured, the system enters a working state; when the biological signals are not captured, part of the system enters a dormant state;
the data processing module 102 is configured to set a body temperature data format and a face data format, judge the captured biological body temperature data and biological image data according to the body temperature data format and the face data format, and reserve the biological body temperature data and the biological image data meeting the body temperature data format and the face data format as employee body temperature data and face data to be recognized; the method comprises the steps of marking biological body temperature data and biological picture data which do not meet a body temperature data format and a face data format as animal data, and sending the animal data and early warning information to an early warning module;
the system captures biological information within a set range according to the infrared temperature sensor and the camera, wherein the biological information includes: when a biological signal is captured, the system enters a working state; when the biological signals are not captured, part of the system enters a dormant state, so that the use of system resources can be saved, then the system judges the captured biological body temperature data and the biological picture data according to a preset body temperature data format and a preset face data format, firstly, the face data format is judged, namely whether the captured biological data is a person or not is identified, if the captured biological data is not in accordance with the preset face data format, the captured biological data is marked as animal data, and the animal is driven through an early warning module; if the human face data format is met, the captured human face data is represented, and the captured human face data and the captured body temperature data are reserved for further recognition.
Further, as shown in fig. 3, a structural block diagram of a third embodiment of the employee health management system based on infrared sensing according to the present invention is proposed based on the foregoing embodiments, in this embodiment, the information identification module 20 further includes:
the employee identity recognition module 201 is configured to generate a face database according to the local face data, search the face data to be recognized according to the face database, mark the face data to be recognized as employee data when the face database can find the face data identical to the face data to be recognized, and send the corresponding employee body temperature data to the health monitoring module; and when the face database does not find the face data same as the face data to be recognized, marking the face data to be recognized as visitor data, and sending early warning information to the early warning module.
It should be understood that the system generates a face database according to local face data, the local face data is entered by company employees, the face data of each employee is provided, and the camera can accurately recognize the face data, then the system recognizes the face data to be recognized according to the face database, if the face database has the same data as the face data to be recognized, the face to be recognized is the company employee, and at the moment, the system sends body temperature data corresponding to the face data to be recognized to the health monitoring module; if the data identical to the face data to be recognized does not exist in the face database, the system marks the face data to be recognized as visitor data, sends early warning information to the early warning module and sends an access request to a foreground.
Further, as shown in fig. 4, a block diagram of a fourth embodiment of the employee health management system based on infrared sensing according to the present invention is provided based on the foregoing embodiments, in this embodiment, the health monitoring module 30 further includes:
the body temperature health table generation module 301 is configured to obtain local employee historical body temperature data and a corresponding health status report, establish a corresponding body temperature health model according to the local employee historical body temperature data and the corresponding health status report, and generate different body temperature value labels;
the employee health status report generation module 302 is configured to match different body temperature value labels with employee body temperature data, find a corresponding health status report from the body temperature health model according to a matching result, combine the health status report with the corresponding employee body temperature data and store the health status report in the body temperature health model, and send the health status report to the early warning module.
It should be understood that the system not only obtains the historical body temperature data of the local staff and the corresponding health status report, but also obtains the relevant advice information from the network, and then establishes the corresponding body temperature health model according to the information, the body temperature health model essentially consists of information and the corresponding information, one information may have a plurality of corresponding information, for example, the historical body temperature data of one staff is 39 ℃, and the body temperature data may correspond to the relevant pathology, for example: normal fever, low fever and high fever, and the like, and possibly correspond to relevant doctor suggestions, then the system can generate different body temperature value labels, the label is used for finding corresponding body temperature data and health reports from the body temperature health model, then the system can match with the body temperature value labels according to the body temperature data of employees, and generate corresponding health reports, then the health status reports and the corresponding body temperature data of the employees are combined and stored in the body temperature health model, and the health status reports are sent to the early warning module.
It should be understood that the health monitoring module is a platform combining big data and artificial intelligence, and it combines the medical related data about body temperature to distinguish according to the level of fever: low heat: 37.4-38 ℃; moderate heat: 38.1 ℃ -39 ℃: high heat: 39.1-41 ℃; ultra-high heat: above 41 ℃. Because the heat energy of the body mainly comes from skeletal muscle, the skeletal muscle is very strongly contracted under the action of pyrogen, so that a patient is afraid of cold and shivering before the body temperature rises, and then has high fever. Fever is not a disease per se, but is only a clinical manifestation of a certain disease, and patients can be reminded to go to a hospital for treatment if necessary. The normal human body temperature is 36-37 degrees. The normal adult body temperature is lowest in the early morning at 2-6 hours and highest in the afternoon at 1-6 hours, but the fluctuation range is generally not more than 1 degree. After the onset of puberty, female body temperature was on average 0.3 degrees higher than male body temperature. Therefore, according to the data, the module can draw a body temperature model of a person according to a large amount of body temperature data, monitor the health of the person by combining a medical body temperature partition, the historical body temperature and the meteorological information of the person, and prompt information on how to pay attention to personal maintenance and the like in the season.
Further, as shown in fig. 5, a structural block diagram of a fifth embodiment of the employee health management system based on infrared sensing is provided based on the foregoing embodiments, in this embodiment, the early warning module 40 further includes:
the animal early warning driving module 401 is configured to receive animal data and early warning information sent by the data processing module, search for relevant sounds and light waves for driving the animal from the network, and drive the animal according to the sounds and the light waves;
the visitor early warning module 402 is used for capturing the action of the visitor in real time after receiving the employee identity recognition module, searching whether a corresponding admission instruction exists locally or not when the visitor is captured to enter the company, and sending alarm information to the staff if the visitor is not captured;
and the employee safety early warning module 403 is configured to receive the health status report sent by the employee health status report generating module, extract an analysis result in the health status report, and send early warning information to the employee and the staff when the analysis result is unhealthy.
It should be understood that the early warning module realizes early warning through different early warning modes which are set in advance, for example, an animal early warning driving mode, receives animal data and early warning information which are sent by the data processing module, searches relevant sound and light waves for driving the animal from a network, and drives the animal according to the sound and the light waves; the visitor driving mode is to give an early warning according to whether the release instruction is received or not and the action of the visitor, and if the release instruction is not received and the visitor breaks into the company, the early warning module gives an alarm; for the staff, the early warning module extracts the analysis result in the health status report, and sends early warning information to the staff and the staff when the analysis result is unhealthy.
It should be understood that, as shown in fig. 6, fig. 6 is a block diagram of a specific implementation flow of the employee health management system based on infrared perception according to the present invention.
When someone enters the entrance guard, the infrared sensing and camera module is triggered, and the dormant system is activated and enters a working state;
when the system is activated, the data acquisition module reads data streams in the infrared temperature sensor and the camera through the WIFI network and forwards the read data to the data processing module;
after the data processing module receives the data of the data acquisition module, the data processing module sends a complete video data stream to the real-time monitoring platform, extracts a biological picture in the video at the same time, and sends the picture and temperature information to the biological information identification module at the cloud end;
when the biological information identification module at the cloud receives the picture and the temperature information, the biological information identification module at the cloud extracts the biological information in the picture by means of big data and artificial intelligence and analyzes the biological information in combination with the temperature information, when the analysis result is an animal, the related analysis result is sent to the biological driving module, and when the analysis result is a person, the related analysis result is sent to the face identity identification module;
after the biological information is received by the biological driving module, the relevant sound and light wave of the organism can be driven through network retrieval, and the relevant sound and light wave are played to drive the organism;
when the face identity recognition module receives the face picture and the temperature information sent by the biological information recognition module, the person in the picture is compared by means of big data and artificial intelligence to judge whether the person in the picture is a company employee or not, when the person in the picture is judged not to be the man-hour of the company, the module sends the picture and the temperature information to the security and protection early warning module, when the person in the picture is judged to be the man-hour of the company, the module sends the registration information of the person in the picture to the attendance management module, and simultaneously sends the registration information and the temperature information of the person in the picture to the health file module of the employee;
when the security early warning module receives the data sent by the face identity recognition module, a security mechanism is started, the taken temperature data is sent to the health monitoring module for analysis and processing, and a return result of the health monitoring module is received;
when the attendance management module receives the data sent by the face identity recognition module, the attendance management module generates attendance information according to the identity information recognized by the face identity recognition module and the current system time and stores the attendance information into the system;
when the employee health file module receives the data sent by the face identity recognition module, the module sends temperature information to the health monitoring module, the data is processed by the health monitoring module, the result returned by the health monitoring module is received, and the identity information, the temperature information and the health state are filed and processed;
when the health monitoring module receives data of the security early warning module or the employee health archive module, the module analyzes and processes the sent data, optimizes the model, improves the accuracy of the model, and sends the processed data to the request module.
The above description is only for illustrative purposes and does not limit the technical solutions of the present application in any way.
As is apparent from the above description, the present embodiment includes: the data acquisition module is used for acquiring employee body temperature data and face data to be recognized; the information identification module is used for acquiring local face data, generating a face database according to the local face data, identifying the face data to be identified according to the face database, and sending the acquired employee body temperature data to the health monitoring module when the identification is successful; when the identification is not successful, early warning information is sent to an early warning module; the health monitoring module is used for acquiring the historical body temperature data of local employees and corresponding health status reports, establishing a body temperature health model according to the historical body temperature data of the local employees and the corresponding health status reports, analyzing the body temperature data of the employees according to the body temperature health model, and sending an analysis result to the early warning module; and the early warning module is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through different early warning modes. According to the embodiment, the body temperature monitoring model is established, the current body state of the staff is judged according to the body temperature data of the staff collected in real time, early warning can be timely carried out on the staff, real-time protection can be effectively carried out on the health of the staff, and the belonging feeling of the staff is improved.
In addition, the embodiment of the invention also provides staff health management equipment based on infrared perception. As shown in fig. 6, the employee health management device based on infrared perception includes: the system comprises a data acquisition unit 10, an information identification unit 20, a health monitoring unit 30 and an early warning unit 40.
The data acquisition unit 10 is used for acquiring employee body temperature data and face data to be recognized;
the information identification unit 20 is used for acquiring local face data, generating a face database according to the local face data, identifying the face data to be identified according to the face database, and sending the acquired employee body temperature data to the health monitoring module when the identification is successful; when the identification is not successful, early warning information is sent to an early warning module;
the health monitoring unit 30 is used for acquiring the historical body temperature data of local employees and corresponding health status reports, establishing a body temperature health model according to the historical body temperature data of the local employees and the corresponding health status reports, analyzing the body temperature data of the employees according to the body temperature health model, and sending an analysis result to the early warning module;
and the early warning unit 40 is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through different early warning modes.
In addition, it should be noted that the above-described embodiments of the apparatus are merely illustrative, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of the modules to implement the purpose of the embodiments according to actual needs, and the present invention is not limited herein.
In addition, technical details that are not described in detail in this embodiment may be referred to an infrared sensing-based employee health management system provided in any embodiment of the present invention, and are not described herein again.
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 (10)
1. An employee health management system based on infrared perception is characterized in that the employee health management system based on infrared perception comprises:
the data acquisition module is used for acquiring employee body temperature data and face data to be recognized;
the information identification module is used for acquiring local face data, generating a face database according to the local face data, identifying the face data to be identified according to the face database, and sending the acquired employee body temperature data to the health monitoring module when the identification is successful; when the identification is not successful, early warning information is sent to an early warning module;
the health monitoring module is used for acquiring the historical body temperature data of local employees and corresponding health status reports, establishing a body temperature health model according to the historical body temperature data of the local employees and the corresponding health status reports, analyzing the body temperature data of the employees according to the body temperature health model, and sending an analysis result to the early warning module;
and the early warning module is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through different early warning modes.
2. The infrared perception-based employee health management system according to claim 1, wherein the data acquisition module comprises an infrared perception and camera module for capturing biological information within a set range through an infrared temperature sensor and a camera, the biological information comprising: when a biological signal is captured, the system enters a working state; when the biological signal is not captured, part of the system enters a sleep state.
3. The infrared perception-based employee health management system of claim 2, wherein: the data acquisition module also comprises a data processing module which is used for setting a body temperature data format and a face data format, judging the captured biological body temperature data and biological picture data through the body temperature data format and the face data format, and reserving the biological body temperature data and the biological picture data which meet the body temperature data format and the face data format as employee body temperature data and face data to be recognized; and marking the biological body temperature data and the biological picture data which do not meet the body temperature data format and the face data format as animal data, and sending the animal data and the early warning information to the early warning module.
4. The infrared perception-based employee health management system of claim 3, wherein: the information identification module comprises an employee identity identification module and a health monitoring module, wherein the employee identity identification module is used for generating a face database according to local face data, searching the face data to be identified according to the face database, marking the face data to be identified as employee data when the face database can find the face data which is the same as the face data to be identified, and sending the corresponding employee body temperature data to the health monitoring module; and when the face database does not find the face data same as the face data to be recognized, marking the face data to be recognized as visitor data, and sending early warning information to the early warning module.
5. The infrared perception-based employee health management system of claim 4, wherein: the health monitoring module comprises a body temperature health table generation module and is used for acquiring the historical body temperature data of local staff and corresponding health state reports, establishing corresponding body temperature health models according to the historical body temperature data of the local staff and the corresponding health state reports, and generating different body temperature value labels.
6. The infrared perception-based employee health management system of claim 5, wherein: the health monitoring module further comprises an employee health state report generating module, the employee health state report generating module is used for matching different body temperature value labels with employee body temperature data, finding a corresponding health state report from the body temperature health model according to a matching result, combining the health state report with the corresponding employee body temperature data, storing the health state report and the corresponding employee body temperature data into the body temperature health model, and sending the health state report to the early warning module.
7. The infrared perception-based employee health management system of claim 3, wherein: the early warning module comprises an animal early warning driving module, is used for receiving animal data and early warning information sent by the data processing module, searches relevant sound and light waves for driving the animal from a network, and drives the animal according to the sound and the light waves.
8. The infrared perception-based employee health management system of claim 4, wherein: the early warning module comprises a visitor early warning module used for capturing visitor actions in real time after receiving the employee identity recognition module, retrieving whether corresponding admission instructions exist locally or not when the visitors are captured to enter a company, and sending warning information to the staff if the corresponding admission instructions do not exist.
9. The infrared perception-based employee health management system of claim 6, wherein: the early warning module also comprises an employee safety early warning module which is used for receiving the health state report sent by the employee health state report generating module, extracting the analysis result in the health state report and sending early warning information to the employee and the staff when the analysis result is unhealthy.
10. An infrared perception-based employee health management device, the infrared perception-based employee health management device comprising:
the data acquisition unit is used for acquiring body temperature data of the staff and face data to be recognized;
the information identification unit is used for acquiring local face data, generating a face database according to the local face data, identifying the face data to be identified according to the face database, and sending the collected employee body temperature data to the health monitoring module when successful identification is achieved; when the identification is not successful, early warning information is sent to an early warning module;
the health monitoring unit is used for acquiring the historical body temperature data of local staff and a corresponding health state report, establishing a body temperature health model according to the historical body temperature data of the local staff and the corresponding health state report, analyzing the body temperature data of the staff according to the body temperature health model, and sending an analysis result to the early warning module;
and the early warning unit is used for setting different early warning modes, receiving the early warning information sent by the information identification module and the analysis result sent by the health monitoring module, and sending different early warning information to the staff according to the early warning information and the analysis result through the different early warning modes.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010022314.7A CN111261291A (en) | 2020-01-09 | 2020-01-09 | Staff health management system based on infrared perception |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010022314.7A CN111261291A (en) | 2020-01-09 | 2020-01-09 | Staff health management system based on infrared perception |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111261291A true CN111261291A (en) | 2020-06-09 |
Family
ID=70948605
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010022314.7A Pending CN111261291A (en) | 2020-01-09 | 2020-01-09 | Staff health management system based on infrared perception |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111261291A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111615028A (en) * | 2020-06-19 | 2020-09-01 | 歌尔科技有限公司 | Temperature detection method and device, sound box equipment and storage medium |
| CN111916104A (en) * | 2020-07-20 | 2020-11-10 | 湖北美和易思教育科技有限公司 | Artificial intelligence Internet of things dormitory management system and method |
| CN112417504A (en) * | 2020-11-23 | 2021-02-26 | 烟台职业学院 | Company safety alarm system based on computer |
| CN113517070A (en) * | 2021-08-13 | 2021-10-19 | 广州尚衡信息科技有限公司 | Personnel health record management system |
| CN113903415A (en) * | 2020-06-22 | 2022-01-07 | 苏州沈苏自动化技术开发有限公司 | Method and system for automatically recording body temperature data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130013331A1 (en) * | 2011-07-05 | 2013-01-10 | Saudi Arabian Oil Company | Systems, Computer Medium and Computer-Implemented Methods for Monitoring Health of Employees Using Mobile Devices |
| CN107506983A (en) * | 2017-08-31 | 2017-12-22 | 济南浪潮高新科技投资发展有限公司 | A kind of attendance checking system and Work attendance method |
| CN107563137A (en) * | 2017-08-31 | 2018-01-09 | 郑州云海信息技术有限公司 | A kind of employee's health states monitoring method and system |
| CN108537910A (en) * | 2018-04-13 | 2018-09-14 | 上海思依暄机器人科技股份有限公司 | A kind of employee work attendance method, device and Work attendance management system based on recognition of face |
| CN109215806A (en) * | 2018-10-31 | 2019-01-15 | 绍兴文理学院 | A kind of public place health monitoring systems and method based on recognition of face |
| WO2019071489A1 (en) * | 2017-10-11 | 2019-04-18 | 深圳传音通讯有限公司 | Intelligent terminal-based method and system for measuring temperature by photographing |
-
2020
- 2020-01-09 CN CN202010022314.7A patent/CN111261291A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130013331A1 (en) * | 2011-07-05 | 2013-01-10 | Saudi Arabian Oil Company | Systems, Computer Medium and Computer-Implemented Methods for Monitoring Health of Employees Using Mobile Devices |
| CN107506983A (en) * | 2017-08-31 | 2017-12-22 | 济南浪潮高新科技投资发展有限公司 | A kind of attendance checking system and Work attendance method |
| CN107563137A (en) * | 2017-08-31 | 2018-01-09 | 郑州云海信息技术有限公司 | A kind of employee's health states monitoring method and system |
| WO2019071489A1 (en) * | 2017-10-11 | 2019-04-18 | 深圳传音通讯有限公司 | Intelligent terminal-based method and system for measuring temperature by photographing |
| CN108537910A (en) * | 2018-04-13 | 2018-09-14 | 上海思依暄机器人科技股份有限公司 | A kind of employee work attendance method, device and Work attendance management system based on recognition of face |
| CN109215806A (en) * | 2018-10-31 | 2019-01-15 | 绍兴文理学院 | A kind of public place health monitoring systems and method based on recognition of face |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111615028A (en) * | 2020-06-19 | 2020-09-01 | 歌尔科技有限公司 | Temperature detection method and device, sound box equipment and storage medium |
| CN113903415A (en) * | 2020-06-22 | 2022-01-07 | 苏州沈苏自动化技术开发有限公司 | Method and system for automatically recording body temperature data |
| CN111916104A (en) * | 2020-07-20 | 2020-11-10 | 湖北美和易思教育科技有限公司 | Artificial intelligence Internet of things dormitory management system and method |
| CN111916104B (en) * | 2020-07-20 | 2022-09-13 | 武汉美和易思数字科技有限公司 | Artificial intelligence Internet of things dormitory management system and method |
| CN112417504A (en) * | 2020-11-23 | 2021-02-26 | 烟台职业学院 | Company safety alarm system based on computer |
| CN113517070A (en) * | 2021-08-13 | 2021-10-19 | 广州尚衡信息科技有限公司 | Personnel health record management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111261291A (en) | Staff health management system based on infrared perception | |
| CN108830226A (en) | Intelligent campus system based on Internet of Things | |
| CN104799826A (en) | Intelligent health service system and alarming reliable detection method | |
| CN108852282A (en) | A kind of monitor system and method for being remotely hospitalized | |
| CN111540105A (en) | Method, system, equipment and storage medium for controlling access control | |
| US20040101178A1 (en) | Imaging method and system for health monitoring and personal security | |
| CN104799825A (en) | Cloud health service platform and drug assessment method for middle-aged and aged people | |
| CN110660472A (en) | Hospital management early warning system and method based on face recognition technology | |
| CN104952447A (en) | Intelligent wearing equipment for safety and health service for old people and voice recognition method | |
| CN104796485A (en) | Cloud good health service platform of elderly people and big data processing method | |
| CN104867309A (en) | Middle aged and elderly people good health service intelligent wearing device and deep learning method | |
| CN111564224A (en) | Intelligent monitoring system with health monitoring function and implementation method thereof | |
| CN206449532U (en) | People face identifying system and intelligent road-lamp | |
| CN110516568B (en) | College multi-scene data management method and system based on face recognition | |
| CN106447861A (en) | Efficient and intelligent access control management system | |
| CN108231147A (en) | Generate the system and method for resident's Electronic Health Record | |
| CN109977870A (en) | A kind of monitoring identifying system | |
| CN106439656A (en) | Human face recognition system and intelligent street lamp | |
| CN114677826A (en) | Mental patient violence early warning system based on individual behaviors and physiological characteristics | |
| CN109949272B (en) | Data acquisition method and system for identifying skin disease types and acquiring human skin pictures | |
| CN203287910U (en) | Search system based on face recognition | |
| CN106127617A (en) | A kind of based on the indoor occupant locating and monitoring system under accident and method | |
| CN117038027A (en) | Nurse station information management system | |
| CN103207990A (en) | People recognition system based on mobile terminal and for police | |
| CN113724853A (en) | Intelligent medical system based on deep learning |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200609 |
|
| RJ01 | Rejection of invention patent application after publication |