CN111012309B - Morning check self-service system - Google Patents
Morning check self-service system Download PDFInfo
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- CN111012309B CN111012309B CN201911220636.6A CN201911220636A CN111012309B CN 111012309 B CN111012309 B CN 111012309B CN 201911220636 A CN201911220636 A CN 201911220636A CN 111012309 B CN111012309 B CN 111012309B
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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
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0077—Devices for viewing the surface of the body, e.g. camera, magnifying lens
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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
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0088—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for oral or dental 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
- A61B5/103—Measuring devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
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- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G19/00—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups
- G01G19/44—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons
- G01G19/50—Weighing apparatus or methods adapted for special purposes not provided for in the preceding groups for weighing persons having additional measuring devices, e.g. for height
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- 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
- G06V40/12—Fingerprints or palmprints
- G06V40/13—Sensors therefor
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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
- G06V40/161—Detection; Localisation; Normalisation
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- 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
- G06V40/18—Eye characteristics, e.g. of the iris
- G06V40/19—Sensors therefor
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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- G06V40/70—Multimodal biometrics, e.g. combining information from different biometric modalities
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- 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
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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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Abstract
The invention discloses a morning check self-service system, which comprises a morning check machine body, wherein the morning check machine body comprises a base, a bracket and a controller, a standing area for standing a detected person is arranged on the base, a trigger signal is generated when a human body stands in the standing area, the bracket extends upwards on the base and is provided with a middle detection mechanism and an upper detection mechanism, the middle detection mechanism comprises a middle detection cavity, a detection opening for extending a hand is formed in the middle detection cavity, the detection opening faces the detected person, the middle detection mechanism also comprises a middle shooting component, the middle shooting component is positioned on one wall of the middle detection cavity and faces a cavity of the middle detection cavity, and hand image information is generated when the middle shooting component works; the upper part detection mechanism is arranged above the middle part detection mechanism, the upper part shooting component facing the detected person is arranged, and the upper part shooting component generates oral cavity image information when working. The beneficial effects are that: the infant can be rapidly checked and the image information of the characteristic disease reflecting part of the hand-foot-and-mouth disease can be acquired.
Description
Technical Field
The invention relates to the technical field of hand and mouth disease monitoring, in particular to a morning check self-service system.
Background
Hand and mouth diseases, also known as hand and mouth syndrome, are common infectious diseases. The hand and oral mucosa are used as main clinical characteristics, and the hand and oral mucosa can be transmitted through various ways such as mouth, hands, air spray, polluted water source, food and the like. Hand and mouth diseases. The hand and mouth diseases usually occur in children under 5 years old, and the hand, foot, back buttocks and mouth can cause herpes and fever.
Today's Artificial Intelligence (AI) has been able to solve specific medical problems for medicine, and has made tremendous progress, realized through deep learning techniques, mainly applied to five fields of medical robots, intelligent drug development, intelligent diagnosis and treatment, intelligent influence recognition, intelligent health management, and even able to solve many problems that cannot be solved at present in medicine. By way of example of the current typical application cases, intelligent exoskeletons of Russian ExoAtlet can help paralyzed patients to perform daily life activities, stanford university can successfully identify skin cancer, china Airdoc has the ability to identify diabetic retinopathy comparable to that of a trimethyl ophthalmologist, product Arterys Cardio DL under the American Arterys company is approved by the FDA, hundred degrees is pushed out of the hundred degrees of medical brains, diagnosis is 80% the same as that of North big hospital doctors, and artificial intelligence application is now a trend in the medical field.
When a machine is used for checking the hand-foot-and-mouth disease of children, data are required to be acquired from the characteristic disease reflecting parts.
Disclosure of Invention
The invention aims to provide a device capable of rapidly checking infants and collecting image information of a characteristic disease reflecting part of hand-foot-and-mouth disease.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
The utility model provides a self-service system is examined in morning, includes the morning and examines the organism, the morning is examined the organism and is included base, support and controller, be equipped with the region of standing that is used for standing the detected person on the base, generate the trigger signal when the human body stands in the region of standing, the support upwards extends on the base and is provided with middle part detection mechanism and upper portion detection mechanism, middle part detection mechanism includes middle part detection chamber, set up the detection opening that supplies the hand to stretch into on the middle part detection chamber, the detection opening sets up towards the detected person, middle part detection mechanism still includes middle part shooting subassembly, middle part shooting subassembly is located on a wall of middle part detection chamber and towards the cavity setting of middle part detection chamber, the during operation of middle part shooting subassembly generates hand image information; an upper detection mechanism is arranged above the middle detection mechanism, the upper detection mechanism is provided with an upper shooting component facing a detected person, and oral cavity image information is generated when the upper shooting component works;
the middle detection mechanism is provided with a shoulder detection infrared sensor, the upper detection mechanism is provided with a head detection infrared sensor, the shoulder detection infrared sensor is used for outputting first feedback information, the head detection infrared sensor is used for outputting second feedback information,
A first height adjusting mechanism is arranged between the middle detecting mechanism and the base, and the first height adjusting mechanism is used for adjusting the distance between the middle detecting mechanism and the base;
a second height adjusting mechanism is arranged between the upper detecting mechanism and the middle detecting mechanism and is used for adjusting the distance between the upper detecting mechanism and the middle detecting mechanism;
The controller is configured with an execution strategy, when the controller receives the trigger signal, the execution strategy comprises first feedback information to control the first height adjusting mechanism to work, and the first height adjusting mechanism is stopped when an edge signal in the first feedback information is captured; the execution strategy further comprises second feedback information to control the second height adjusting mechanism to work until the second height adjusting mechanism stops working when the edge signal in the second feedback information is captured.
Preferably, the base is provided with a weight detecting mechanism, the weight detecting mechanism is arranged in the standing area, when a detected person stands in the standing area, the weight detecting mechanism detects the pressure born by the standing area and generates a detected person weight value, and the controller comprises a weight data processing module, and the weight data processing module generates weight information according to the detected person weight value.
Preferably, the head detection infrared sensor is further provided with a distance detection infrared sensor perpendicular to the standing area, when the second height adjusting mechanism stops working, the distance detection infrared sensor detects the distance between the head detection infrared sensor and the standing area and generates a detected height value, and the controller comprises a height data processing module, and the height data processing module generates height information according to the detected height value.
Preferably, the execution strategy includes first feedback information, the shoulder detection infrared sensor emits infrared rays, when the shoulder detection infrared sensor detects infrared rays reflected by a human body, the first feedback information controls the first height adjustment mechanism to extend, and the middle detection mechanism to rise; when the shoulder detection infrared sensor does not detect infrared rays reflected by a human body, the first feedback information controls the first height adjusting mechanism to be shortened, and the middle detection mechanism descends.
Preferably, the execution strategy includes second feedback information, the head detection infrared sensor emits infrared rays, when the head detection infrared sensor detects infrared rays reflected by a human body, the second feedback information controls the second height adjustment mechanism to extend, and the upper detection mechanism rises; when the head detection infrared sensor does not detect infrared rays reflected by a human body, the second feedback information controls the second height adjusting mechanism to be shortened, and the upper detection mechanism descends.
Preferably, a horizontal adjusting mechanism is arranged between the base and the first height adjusting mechanism, the horizontal adjusting mechanism is used for adjusting the horizontal distance between the base and the first height adjusting mechanism,
The middle detection cavity is internally provided with a hand placement area for placing hands, the hand placement area comprises a fingertip placement area for placing fingers and a palm placement area for placing a palm, the fingertip placement area is provided with a finger detection infrared sensor for outputting third feedback information, the palm placement area is provided with a palm detection infrared sensor for outputting fourth feedback information,
The execution strategy further comprises third feedback information and fourth feedback information, and the execution strategy controls the horizontal adjusting mechanism to work until the third feedback information and the fourth feedback information are received at the same time.
Preferably, the middle detection mechanism is further provided with a manually operable control panel.
Preferably, the upper photographing assembly comprises a camera, a supporting frame for supporting the camera and a rotating assembly for adjusting the photographing angle of the camera, and the rotating assembly is arranged between the camera and the supporting frame.
Preferably, the rotating assembly comprises a rotating ball and a ball seat for supporting the rotating ball, an arc-shaped rotating groove for placing the rotating ball is formed in the side face of the ball seat, the rotating assembly further comprises a miniature multi-stage cylinder, the miniature multi-stage cylinder is arranged between the rotating ball and the supporting frame, the ball seat is provided with a through groove for a telescopic rod of the miniature multi-stage cylinder to pass through, the telescopic rod of the miniature multi-stage cylinder is hinged to the rotating ball, a plurality of miniature multi-stage cylinders are arranged, and at least two miniature multi-stage cylinders are arranged on the linear directions of two diameters of the rotating ball, which are perpendicular to each other.
Preferably, the middle part detection mechanism further comprises an identity detection mechanism, wherein the identity detection mechanism is used for collecting one or more of fingerprint information, vein information, pupil information and face information of the identified person, and sending the collected information to the background server.
Compared with the prior art, the invention has the beneficial effects that:
1. collecting detected human body distribution information by arranging a shoulder detection infrared sensor and a head detection infrared sensor, analyzing the information by an execution strategy in a controller, and controlling a first height adjusting mechanism and a second height adjusting mechanism to carry out adaptive adjustment, so that the position distribution of an upper shooting assembly and a middle shooting assembly is matched with the human body proportion distribution of a detected human body;
2. The execution strategies are all written in the controller, so that the compiling performance is higher, the data interaction is more reasonable, and the later modification or recompilation is convenient.
Drawings
FIG. 1 is a front three-dimensional view of a morning check engine block;
FIG. 2 is a rear three-dimensional view of the morning check engine block;
FIG. 3 is a front three-dimensional view of the morning check engine block with the horizontal adjustment mechanism extended;
FIG. 4 is an enlarged view of portion a of FIG. 1;
fig. 5 is a cross-sectional view of the upper photographing assembly.
Reference numerals illustrate: 1. a base; 11. a standing area; 2. a first height adjustment mechanism; 3. a middle detection mechanism; 31. a middle shooting component; 32. a control panel; 33. an identity detection mechanism; 4. an upper detection mechanism; 41. an upper photographing assembly; 411. a camera; 412. a support frame; 413. a rotating assembly; 4131. a rotating ball; 4132. a ball seat; 4133. a micro multi-stage cylinder; 5. a second height adjustment mechanism.
Detailed Description
The invention is further illustrated by the following figures and examples.
Example 1:
As shown in fig. 1-2, a self-service system for morning inspection comprises a morning inspection body, wherein the morning inspection body comprises a base 1, a bracket and a controller, a standing area 11 for standing a detected person is arranged on the base 1, a trigger signal is generated when a human body stands in the standing area 11, the bracket extends upwards on the base 1 and is provided with a middle detection mechanism 3 and an upper detection mechanism 4, the middle detection mechanism 3 comprises a middle detection cavity, a detection opening for extending in a hand is formed in the middle detection cavity, the detection opening is arranged facing the detected person, the middle detection mechanism 3 further comprises a middle shooting component 31, the middle shooting component 31 is positioned on one wall of the middle detection cavity and faces a cavity of the middle detection cavity, and the middle shooting component 31 generates hand image information when working; an upper detection mechanism 4 is arranged above the middle detection mechanism 3, the upper detection mechanism 4 is provided with an upper shooting component 41 facing a detected person, and the upper shooting component 41 generates oral cavity image information when working;
The middle detection mechanism 3 is provided with a shoulder detection infrared sensor, the upper detection mechanism 4 is provided with a head detection infrared sensor, the shoulder detection infrared sensor is used for outputting first feedback information, the head detection infrared sensor is used for outputting second feedback information,
A first height adjusting mechanism 2 is arranged between the middle detecting mechanism 3 and the base 1, and the first height adjusting mechanism 2 is used for adjusting the distance between the middle detecting mechanism 3 and the base 1;
A second height adjusting mechanism 5 is arranged between the upper detecting mechanism 4 and the middle detecting mechanism 3, and is used for adjusting the distance between the upper detecting mechanism 4 and the middle detecting mechanism 3;
The controller is configured with an execution strategy, and the execution strategy is executed when the controller receives the trigger signal, and comprises first feedback information to control the first height adjusting mechanism 2 to work until the first height adjusting mechanism 2 stops working when an edge signal in the first feedback information is captured; the execution strategy further comprises second feedback information to control the second height adjustment mechanism 5 to work until the second height adjustment mechanism 5 stops working when the edge signal in the second feedback information is captured.
Preferably, the execution strategy includes first feedback information, the shoulder detection infrared sensor emits infrared rays, when the shoulder detection infrared sensor detects infrared rays reflected by a human body, the first feedback information controls the first height adjustment mechanism to extend, and the middle detection mechanism 3 rises; when the shoulder detection infrared sensor does not detect infrared rays reflected by the human body, the first feedback information controls the first height adjusting mechanism to shorten, and the middle detection mechanism 3 descends.
Preferably, the execution strategy includes second feedback information, the head detection infrared sensor emits infrared rays, when the head detection infrared sensor detects infrared rays reflected by a human body, the second feedback information controls the second height adjustment mechanism to extend, and the upper detection mechanism 4 is lifted; when the head detection infrared sensor does not detect infrared rays reflected by the human body, the second feedback information controls the second height adjustment mechanism to shorten, and the upper detection mechanism 4 descends.
Preferably, a horizontal adjusting mechanism is arranged between the base 1 and the first height adjusting mechanism 2, the horizontal adjusting mechanism is used for adjusting the horizontal distance between the base 1 and the first height adjusting mechanism 2,
The middle detection cavity is internally provided with a hand placement area for placing hands, the hand placement area comprises a fingertip placement area for placing fingers and a palm placement area for placing a palm, the fingertip placement area is provided with a finger detection infrared sensor for outputting third feedback information, the palm placement area is provided with a palm detection infrared sensor for outputting fourth feedback information,
The execution strategy further comprises third feedback information and fourth feedback information, and the execution strategy controls the horizontal adjusting mechanism to work until the third feedback information and the fourth feedback information are received at the same time.
Preferably, the middle detecting mechanism 3 is further provided with a manually operable control panel 32.
As shown in fig. 4 to 5, the upper photographing assembly 41 preferably includes a camera 411, a support frame 412 for supporting the camera 411, and a rotation assembly 413 for adjusting a photographing angle of the camera 411, the rotation assembly 413 being disposed between the camera 411 and the support frame 412.
As shown in fig. 5, the rotating assembly 413 includes a rotating ball 4131 and a ball seat 4132 for supporting the rotating ball 4131, an arc-shaped rotating groove for placing the rotating ball 4131 is formed on a side surface of the ball seat 4132, the rotating assembly 413 further includes a micro multi-stage cylinder 4133, the micro multi-stage cylinder 4133 is arranged between the rotating ball 4131 and the supporting frame 412, the ball seat 4132 is provided with a through groove for passing through a telescopic rod of the micro multi-stage cylinder 4133, the telescopic rod of the micro multi-stage cylinder 4133 is hinged with the rotating ball 4131, the micro multi-stage cylinder 4133 is provided with a plurality of micro multi-stage cylinders 4133, and at least two micro multi-stage cylinders 4133 are arranged in two straight directions of diameters perpendicular to each other of the rotating ball 4131.
As shown in fig. 1 and3, the middle detecting mechanism 3 further includes an identity detecting mechanism 33, where the identity detecting mechanism 33 is configured to collect one or more of fingerprint information, vein information, pupil information, and face information of the identified person, and send the collected information to the background server.
The identity detection mechanism 33 is internally configured with an identity information acquisition module, an identity information sending module, a constitution information receiving module and an identified person information output module, wherein the identity information acquisition module is used for acquiring one or more of fingerprint information, vein information, pupil information and face information of an identified person, the identity information sending module is used for sending information acquired by the identity information acquisition module to a background server, the constitution information receiving module is used for receiving the identified person quality information sent by the background server, and the identified person information output module is used for outputting the identity information and the identified person quality information. The identified human body quality information comprises name information, weight information, height information, historical disease times information, disease healing time information and age information of the identified human body, and numerical values in the identified human body quality information are intercepted. Specific examples are as follows:
The method comprises the steps that a person to be identified is Zhang III, one or more of fingerprint information, vein information, pupil information and facial information of Zhang III are obtained to serve as identity information to be identified, a background server identifies the identity information to be identified, constitution information of Zhang III is obtained from a database by taking the identity information to be identified as an index, constitution information of Zhang III is used for reflecting constitution information related to constitution health of the person to be identified, constitution information of Zhang III comprises name information, historical illness times information, illness time information and age information of Zhang III, numerical values in human body quality information of Zhang III are intercepted, and numerical values 3 are intercepted if the history is ill for 3 times; the cure time is 5 days, 14 days, 7 days, and the numerical value 5,14,7 is intercepted; age 4 years, intercept number 4.
Preferably, the base 1 is provided with a weight detecting mechanism, the weight detecting mechanism is disposed in the standing area 11, when a detected person stands in the standing area 11, the weight detecting mechanism detects the pressure applied to the standing area 11 and generates a detected person weight value, and the controller includes a weight data processing module, and the weight data processing module generates weight information according to the detected person weight value.
Preferably, the head detecting infrared sensor is further provided with a distance detecting infrared sensor perpendicular to the standing area 11, and after the second height adjusting mechanism 5 stops working, the distance detecting infrared sensor detects the distance between the head detecting infrared sensor and the standing area 11 and generates a detected height value, and the controller comprises a height data processing module, and the height data processing module generates height information according to the detected height value.
The morning check self-service system also comprises an information processing module, wherein the information processing module comprises a basic information identification unit, an infectious rate estimation unit, a disease characteristic identification unit and a disease index calculation unit, and the basic information identification unit is input with a basic information identification strategy. The health value is used for reflecting the age and physical health condition of the identified person. And (3) a basic information identification strategy, namely acquiring the identified human body quality information, and calculating a health value according to the identified human body quality information by a health value algorithm.
The health value algorithm comprises a BMI value sub-algorithm, the BMI value sub-algorithm obtains height information and weight information as identity information to be calculated, the BMI algorithm calculates to obtain a BMI value to be matched according to the identity information to be calculated, and the BMI health value is obtained by carrying out matching calculation on the BMI value to be matched,
When the BMI value to be matched is <10, a=4, when 10 is less than or equal to the BMI value to be matched is <12, when 12 is less than or equal to the BMI value to be matched is <16, a=0, when 16 is less than or equal to the BMI value to be matched is <17, a=1, when 17 is less than or equal to the BMI value to be matched is <18, a=2, and when the BMI value to be matched is more than or equal to 18, a=4. Specific examples are as follows:
BMI=body weight/[ height ]. Times.2 to be matched
Bmi=19/[ 1.03 ] =17.909, a=2 to be matched, and the value 2 is truncated.
The health value algorithm also comprises an immunity value sub-algorithm, the immunity value sub-algorithm obtains historical disease times information and disease healing time information as the historical information to be matched, the disease condition matching algorithm performs matching calculation on the historical information to be matched to obtain an immunity value,
The disease condition matching algorithm is as follows: when the number of historic diseases=0, b=0, when 1.ltoreq.historic diseases <3, b=1, when 3.ltoreq.historic diseases <5, b=2, when 5.ltoreq.historic diseases <7, b=3, when the number of historic diseases is not less than 7, b=5; when the disease-curing time is less than or equal to 1 day and less than or equal to 2 days, B=B, when the disease-curing time is less than or equal to 2 days and less than or equal to 8 days, B=B+2 when the disease-curing time is less than or equal to 8 days and less than or equal to 14 days, B=B+3 when the disease-curing time is less than or equal to 14 days and less than or equal to 20 days, and B=B+5 when the disease-curing time is more than or equal to 20 days. Specific examples are as follows:
history 3 times, b=2; the cure time was 5 days, 14 days, 7 days, b=2+1+3+1=7, and the value of 7 was taken.
The health value algorithm also comprises a body age value sub-algorithm, the body age value sub-algorithm obtains age information as the age information to be matched, the age matching algorithm carries out matching calculation on the age information to be matched to obtain a body age value,
The age matching algorithm is: c=5 when 1 year <4 years old, c=3 when 4 years <7 years old, c=2 when 7 years <10 years old, c=1 when 10 years <13 years old, c=0 when the years <13 years old. Specific examples are as follows:
age 4 years, c=3, intercept number 3.
The device comprises an infected rate estimation unit and an infected rate estimation unit, wherein the infected rate estimation unit comprises an identity information sending subunit, a real-time mobile information receiving subunit, a screening subunit and an infected rate estimation subunit, the identity information sending subunit is used for obtaining identity information and sending the identity information to a background server, the real-time mobile information receiving subunit is used for receiving real-time mobile effective information of an identified person and real-time mobile effective information of a diseased person, which are sent by the background server, the real-time mobile effective information of the identified person is used for reflecting the real-time mobile condition of the identified person within X days from the identified time point, the real-time mobile effective information of the diseased person is used for reflecting the real-time mobile condition of the diseased person within X days from the identified time point, the screening subunit is used for screening the real-time mobile information of the identified person to obtain effective proximity information of the mobile person within Ym range of the diseased person, obtaining and outputting a risk data set, and the infected rate estimation subunit calculates the effective proximity information in the risk data set according to the infected rate estimation parameter to obtain and output the infected rate value, and the infected rate is used for reflecting the infected rate after the identified person approaches the diseased person and the diseased person.
The method comprises the steps that an transmissibility estimation policy is input into an transmissibility estimation unit, the transmissibility estimation policy is obtained, identity information to be identified is used as information of identified people to be matched, a background server identifies the information of the identified people to be matched, the information of the identified people to be matched is used as an index, real-time moving information of the identified people and real-time moving information of a diseased person within X days from an identified time point are obtained from a moving person real-time information data set in a database, a screening algorithm screens the real-time moving information of the identified people to obtain effective approaching information of the moving person entering a range of the diseased person Ym, a risk data set is obtained, the transmissibility algorithm calculates the effective approaching information in the risk data set according to the transmissibility estimation parameter, and the transmissibility value is used for reflecting the transmissibility of the identified people approaching the diseased person.
The screening algorithm is as follows: when the mover enters the range of the diseased mover 5m, the starting time point is marked, when the mover leaves the range of the diseased mover 5m, the ending time point is marked, and the real-time movement information of the mover from the starting time point to the ending time point is moved into the risk data set.
The infection rate estimation algorithm is: calculating the distance between the mobile and the diseased mobile in the risk data set at the same time point, recording the dangerous distance, the duration of the dangerous distance and the time period from the measurement time point, recording the dangerous distance as Lm, the duration of the dangerous distance as T hours and the time period from the measurement time point as T hours, when 120 is less than or equal to T <240, D= (4.5 (1+dt) -v T)/L, when T <120, D= (1+dt)/(2-T)/L, when D <0, D=0, and when D is more than or equal to 8, D=8. Specific examples are as follows:
The method comprises the steps of acquiring identity information of Zhang three as identified person information to be matched, identifying the identified person information to be matched by a background server, acquiring real-time moving information of Zhang three and real-time moving information of sick Lifour within 10 days from an identified time point from a moving person real-time information data set in a database by taking the identified person information to be matched as an index, marking a starting time point when a moving person enters a range of 5m of the sick moving person, marking an ending time point when the moving person leaves the range of 5m of the sick moving person, and moving the moving person real-time moving information of the period from the starting time point to the ending time point into a risk data set. The infected rate algorithm calculates effective approaching information in the risk data set according to the infected rate estimation parameters to obtain an infected rate value, wherein the infected rate value is used for reflecting the infected probability of the identified person approaching the diseased person.
L=3.6m, t=0.2 h; l=1.6m, t=0.9 h; l=0.1 m, t=3 h; l=2.8m, t=2h; l=4m, t=10h; l=3.2 m, t=0.03 h; l=4.2 m, t=1.2 h, intercept value 3.6,0.2;1.6,0.9;0.1,3;2.8,2;4,10;3.2,0.03;4.2,1.2.
D=8 according to the formula calculation, and the value 8 is truncated.
The disease feature recognition unit obtains the pictures shot by the middle shooting component 31 and the upper shooting component 41 as image information to be recognized, extracts disease feature information to be recognized from the image information to be recognized by using a neural network diagnosis model, and then calculates and outputs a disease feature similarity value according to the disease feature information to be recognized and typical disease feature information, wherein the disease feature similarity value is used for reflecting the similarity between the disease feature and typical disease feature of the recognized human hand and the oral cavity.
The disease feature recognition unit is input with a disease feature recognition strategy, a convolutional neural network model is constructed, a hand-foot-and-mouth disease focus sample set is obtained, and the convolutional neural network extracts typical disease feature information from images in the hand-foot-and-mouth disease focus sample set to obtain a neural network diagnosis model of the hand-foot-and-mouth disease; and acquiring images of the identified human hand and the oral cavity as image information to be identified, extracting to-be-identified disease feature information from the image information to be identified by utilizing a neural network diagnosis model, and calculating to obtain a disease feature similarity value by a similarity algorithm according to the to-be-identified disease feature information and typical disease feature information, wherein the disease feature similarity value is used for reflecting the similarity between the disease feature and the typical disease feature of the identified human hand and the oral cavity. Specific examples are as follows:
Constructing a convolutional neural network model to obtain a hand-foot-and-mouth disease focus sample set, and extracting typical disease characteristic information from images in the hand-foot-and-mouth disease focus sample set by the convolutional neural network to obtain a neural network diagnosis model of the hand-foot-and-mouth disease; obtaining Zhang Sanzhu and an oral photo as image information to be identified, extracting to-be-identified disease feature information from the image information to be identified by utilizing a neural network diagnosis model, calculating Euclidean distance between the to-be-identified disease feature information and typical disease feature information, marking the Euclidean distance as a disease feature similarity value, marking the disease feature similarity value as E, marking the Zhang Sanzhu and the Euclidean distance value between the disease feature information and the typical disease feature information in the oral photo as 3, E=3, and intercepting the numerical value of 3.
The disease index calculating unit is used for obtaining a health value, an infected rate value and a disease characteristic similarity value, wherein the health value comprises a BMI health value, an immunity value and a body age value, the BMI health value is marked as A, the immunity value is marked as B, the body age value is marked as C, the infected rate value is marked as D, the infected rate estimation parameter is marked as D, the disease characteristic similarity value is marked as E, the disease index algorithm calculates A, B, C, D, E in a weighted calculation mode to obtain a disease index value, the disease index value is marked as beta, and the disease index value is used for reflecting the risk of the identified person suffering from the disease.
The disease index calculation unit is input with a disease index calculation strategy, and acquires a health value, an infected rate value and a disease characteristic similarity value, wherein the health value comprises a BMI health value, an immunity value and a body age value, the BMI health value is marked as A, the immunity value is marked as B, the body age value is marked as C, the infected rate value is marked as D, the infected rate estimation parameter is marked as D, the disease characteristic similarity value is marked as E, the disease index value is marked as beta, and beta=0.1×A+0.3×B+0.2×C+0.4×D+0.6×E. Substituting the values into the formula resulted in β=7.9, zhang san being at risk of severe illness.
Preferably, the central detecting mechanism 3 is further provided with a manually operable control panel 32. The operator can directly manually input the relevant data.
Preferably, the upper photographing assembly 41 includes a camera 411, a supporting frame 412 for supporting the camera 411, and a rotating assembly 413 for adjusting a photographing angle of the camera 411, the rotating assembly 413 being disposed between the camera 411 and the supporting frame 412.
Preferably, the rotating assembly 413 includes a rotating ball 4131 and a ball seat 4132 for supporting the rotating ball 4131, an arc-shaped rotating groove for placing the rotating ball 4131 is formed on a side surface of the ball seat 4132, the rotating assembly 413 further includes a micro multi-stage cylinder 4133, the micro multi-stage cylinder 4133 is arranged between the rotating ball 4131 and the supporting frame 412, the ball seat 4132 is provided with a through groove for passing through a telescopic rod of the micro multi-stage cylinder 4133, the telescopic rod of the micro multi-stage cylinder 4133 is hinged with the rotating ball 4131, and the micro multi-stage cylinder 4133 is provided with a plurality of at least two micro multi-stage cylinders 4133 arranged in two straight directions of diameters perpendicular to each other of the rotating ball 4131.
The self-help system for morning check also comprises a bracelet provided with a positioning mechanism, the bracelet transmits positioning information to a background server every Z seconds, a real-time information data subset of the mobile with the name or code of the mobile is built in a database of the background server, and the background server inputs the positioning information into the real-time information data subset of the mobile.
The information processing module further comprises an infectious rate estimation training unit, the infectious rate estimation training unit comprises a real-time movement information receiving training subunit, a screening training subunit and an infectious rate estimation training subunit, the real-time movement information receiving training subunit is used for receiving real-time movement information of a patient and real-time movement information of other movers in contact with the patient, which are sent by a background server, the real-time movement information of the patient is used for reflecting real-time movement conditions of the patient within X days from a confirmed diagnosis time point, the real-time movement information of the other movers is used for reflecting real-time movement conditions of the other movers within X days from the confirmed diagnosis time point, the screening training subunit is used for screening historical real-time movement information of the patient, effective movement information of the other movers within Ym of the patient is obtained, a training risk data set is obtained, the infectious rate estimation training subunit calculates effective movement information of the other movers in the training risk data set according to infectious rate estimation parameters, obtains and outputs an infectious rate training value, the actual infectious rate of the other movers within Ym range is recorded according to actual conditions, and the infectious rate estimation training value is recorded as an actual infectious rate estimation training value D according to the actual condition.
The infected rate estimation training unit inputs an infected rate estimation training sub-strategy, the infected rate estimation training sub-strategy obtains historical real-time movement information of the diseased person in X days before a diagnosed time point from a mover real-time information data set in a database, a screening training algorithm screens the historical real-time movement information of the diseased person to obtain real-time movement information of other movers in the Ym range of the diseased person, a training risk data set is obtained, and the infected rate estimation training algorithm is as follows: calculating distances between other movers and ill persons in the training risk data set at the same time point, recording training risk distances, duration of the training risk distances and time periods from the measurement time point, recording the risk distances as L1m, recording the duration of the risk distances as T1 hours and the time periods from the measurement time point as T1 hours, recording the transmissibility value as D1, when 120 is less than or equal to T1<240, D_1= (4.5 (1+d ×t_1) - [ t_1 ])/L_1, when T1<120, D_1= ((1+d ×t_1))) as 2-T_1)/L_1, when D1 is less than or equal to 0, D1=8, calculating to obtain transmissibility training information, and D1; and recording the actual transmissibility of other movers within the range of 5m of the diseased movers according to the actual situation, marking as D0, and correcting the transmissibility estimation parameter according to the difference value between the transmissibility training information D1 and the actual transmissibility D0.
It should be noted that it will be apparent to those skilled in the art that various changes and modifications can be made to the present invention without departing from the principles of the invention, and such changes and modifications will fall within the scope of the appended claims.
Claims (6)
1. The morning check self-service system is characterized by comprising a morning check machine body, wherein the morning check machine body comprises a base (1), a bracket and a controller, a standing area (11) for standing a detected person is arranged on the base (1), a trigger signal is generated when a human body stands in the standing area (11), the bracket extends upwards on the base (1) and is provided with a middle detection mechanism (3) and an upper detection mechanism (4), the middle detection mechanism (3) comprises a middle detection cavity, a detection opening for extending in a hand is formed in the middle detection cavity, the detection opening is arranged facing the detected person, the middle detection mechanism (3) further comprises a middle shooting component (31), the middle shooting component (31) is positioned on one wall of the middle detection cavity and faces a cavity of the middle detection cavity, and hand image information is generated when the middle shooting component (31) works; an upper detection mechanism (4) is arranged above the middle detection mechanism (3), the upper detection mechanism (4) is provided with an upper shooting component (41) facing a detected person, and the upper shooting component (41) generates oral cavity image information when working;
the middle detection mechanism (3) is provided with a shoulder detection infrared sensor, the upper detection mechanism (4) is provided with a head detection infrared sensor, the shoulder detection infrared sensor is used for outputting first feedback information, the head detection infrared sensor is used for outputting second feedback information,
A first height adjusting mechanism (2) is arranged between the middle detecting mechanism (3) and the base (1), and the first height adjusting mechanism (2) is used for adjusting the distance between the middle detecting mechanism (3) and the base (1);
A second height adjusting mechanism (5) is arranged between the upper detecting mechanism (4) and the middle detecting mechanism (3), and the second height adjusting mechanism is used for adjusting the distance between the upper detecting mechanism (4) and the middle detecting mechanism (3);
The controller is configured with an execution strategy, the execution strategy is executed when the controller receives the trigger signal, the execution strategy comprises first feedback information to control the first height adjusting mechanism (2) to work, and the first height adjusting mechanism (2) is stopped when an edge signal in the first feedback information is captured; the execution strategy further comprises second feedback information to control the second height adjustment mechanism (5) to work until the second height adjustment mechanism (5) stops working when the edge signal in the second feedback information is captured;
The execution strategy comprises second feedback information, wherein the head detection infrared sensor emits infrared rays, and when the head detection infrared sensor detects the infrared rays reflected by a human body, the second feedback information controls the second height adjusting mechanism to extend, and the upper detection mechanism (4) rises; when the head detection infrared sensor does not detect infrared rays reflected by a human body, the second feedback information controls the second height adjusting mechanism to be shortened, and the upper detection mechanism (4) descends;
a horizontal adjusting mechanism is arranged between the base (1) and the first height adjusting mechanism (2), the horizontal adjusting mechanism is used for adjusting the horizontal distance between the base (1) and the first height adjusting mechanism (2),
The middle detection cavity is internally provided with a hand placement area for placing hands, the hand placement area comprises a fingertip placement area for placing fingers and a palm placement area for placing a palm, the fingertip placement area is provided with a finger detection infrared sensor for outputting third feedback information, the palm placement area is provided with a palm detection infrared sensor for outputting fourth feedback information,
The execution strategy further comprises third feedback information and fourth feedback information, and the execution strategy controls the horizontal adjusting mechanism to work until the third feedback information and the fourth feedback information are received at the same time;
The upper shooting assembly (41) comprises a camera (411), a supporting frame (412) for supporting the camera (411) and a rotating assembly (413) for adjusting the shooting angle of the camera (411), wherein the rotating assembly (413) is arranged between the camera (411) and the supporting frame (412);
The rotating assembly (413) comprises a rotating ball (4131) and a ball seat (4132) for supporting the rotating ball (4131), an arc-shaped rotating groove for placing the rotating ball (4131) is formed in the side face of the ball seat (4132), the rotating assembly (413) further comprises a micro multistage cylinder (4133), the micro multistage cylinder (4133) is arranged between the rotating ball (4131) and the supporting frame (412), the ball seat (4132) is provided with a through groove for a telescopic rod of the micro multistage cylinder (4133) to pass through, the telescopic rod of the micro multistage cylinder (4133) is hinged to the rotating ball (4131), and the micro multistage cylinder (4133) is provided with a plurality of telescopic rods, at least two micro multistage cylinders (4133) are arranged in the straight line directions of two diameters perpendicular to each other of the rotating ball (4131).
2. The self-help morning check system according to claim 1, wherein the base (1) is provided with a weight detection mechanism, the weight detection mechanism is arranged in the standing area (11), when a person to be checked stands in the standing area (11), the weight detection mechanism detects the pressure born by the standing area (11) and generates a weight value of the person to be checked, and the controller comprises a weight data processing module, and the weight data processing module generates weight information according to the weight value of the person to be checked.
3. The self-help morning check system according to claim 1, wherein the head detection infrared sensor is further provided with a distance detection infrared sensor perpendicular to the standing area (11), and the distance detection infrared sensor detects a distance between the head detection infrared sensor and the standing area (11) and generates a detected height value after the second height adjustment mechanism (5) stops working, and the controller includes a height data processing module that generates height information according to the detected height value.
4. The self-help morning check system according to claim 1, wherein the execution strategy comprises a first feedback information, the shoulder detection infrared sensor emits infrared rays, when the shoulder detection infrared sensor detects infrared rays reflected by a human body, the first feedback information controls the first height adjusting mechanism to extend, and the middle detection mechanism (3) is lifted; when the shoulder detection infrared sensor does not detect infrared rays reflected by a human body, the first feedback information controls the first height adjusting mechanism to be shortened, and the middle detection mechanism (3) descends.
5. A self-help morning check system according to claim 1, characterized in that the central detection means (3) are also provided with a manually operable control panel (32).
6. A self-help morning check system according to claim 1, wherein the central detection means (3) further comprises an identity detection means (33), the identity detection means (33) being adapted to collect one or more of fingerprint information, vein information, pupil information, facial information of the person to be identified and to send the collected information to a background server.
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