CN115715666B - Vision self-help detection system - Google Patents
Vision self-help detection system Download PDFInfo
- Publication number
- CN115715666B CN115715666B CN202211447146.1A CN202211447146A CN115715666B CN 115715666 B CN115715666 B CN 115715666B CN 202211447146 A CN202211447146 A CN 202211447146A CN 115715666 B CN115715666 B CN 115715666B
- Authority
- CN
- China
- Prior art keywords
- vision
- detection
- self
- person
- detected
- 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.)
- Active
Links
- 230000004438 eyesight Effects 0.000 title claims abstract description 213
- 238000001514 detection method Methods 0.000 title claims abstract description 112
- 238000012216 screening Methods 0.000 claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000036541 health Effects 0.000 claims abstract description 11
- 239000000428 dust Substances 0.000 claims description 24
- 238000005192 partition Methods 0.000 claims description 24
- 238000007789 sealing Methods 0.000 claims description 19
- 238000012360 testing method Methods 0.000 claims description 15
- 238000004140 cleaning Methods 0.000 claims description 13
- 230000000694 effects Effects 0.000 claims description 13
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 239000000523 sample Substances 0.000 claims description 11
- 230000000007 visual effect Effects 0.000 claims description 11
- 230000006698 induction Effects 0.000 claims description 10
- 230000001174 ascending effect Effects 0.000 claims description 9
- 238000007726 management method Methods 0.000 claims description 9
- 230000008859 change Effects 0.000 claims description 7
- 230000003068 static effect Effects 0.000 claims description 7
- 238000003860 storage Methods 0.000 claims description 7
- 210000003128 head Anatomy 0.000 claims description 6
- 238000002360 preparation method Methods 0.000 claims description 6
- 238000007619 statistical method Methods 0.000 claims description 6
- 238000012795 verification Methods 0.000 claims description 6
- 230000003993 interaction Effects 0.000 claims description 5
- 238000007405 data analysis Methods 0.000 claims description 4
- 238000013500 data storage Methods 0.000 claims description 4
- 238000005034 decoration Methods 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 230000004304 visual acuity Effects 0.000 claims 4
- 208000001491 myopia Diseases 0.000 abstract description 11
- 230000004379 myopia Effects 0.000 abstract description 11
- 230000008569 process Effects 0.000 abstract description 9
- 230000002265 prevention Effects 0.000 abstract description 4
- 238000011161 development Methods 0.000 abstract description 2
- 230000009466 transformation Effects 0.000 abstract description 2
- 230000000630 rising effect Effects 0.000 description 4
- 101001017827 Mus musculus Leucine-rich repeat flightless-interacting protein 1 Proteins 0.000 description 3
- 238000009825 accumulation Methods 0.000 description 3
- 230000009471 action Effects 0.000 description 3
- 230000005611 electricity Effects 0.000 description 3
- 201000009310 astigmatism Diseases 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 230000005856 abnormality Effects 0.000 description 1
- 230000004075 alteration Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 239000011521 glass Substances 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000003892 spreading Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Landscapes
- Eye Examination Apparatus (AREA)
Abstract
The invention discloses a vision self-help detection system, and belongs to the technical field of vision detection. A vision self-help detection system comprises a vision self-help detection integrated machine, a vision analysis platform and an APP applet. In order to solve the problems that data reporting is not timely and error-prone, detection data are mutually independent, a data summarizing process is tedious and error-prone, comparison data cannot be analyzed timely, and vision detection conditions are summarized, a three-party integrated vision prevention and control system for schools, families and students is built, the schools are used as main lines, vision screening is conducted regularly, health electronic files for children and teenagers are built, vision state changes in different periods are observed dynamically, parents and students are led to learn and master eye health knowledge and skills actively, children are urged to develop good eye habits, recording and analysis of vision screening data play a great role in occurrence, development, transformation and intervention treatment of myopia of the children, and myopia of the children can be prevented and controlled accurately and effectively.
Description
Technical Field
The invention relates to the technical field of vision detection, in particular to a vision self-help detection system.
Background
Along with social informatization, more and more students use electronic products such as mobile phones, computers and the like, the burden of courses of middle and primary school students is increased, the students use eyes in fatigue, insanitation, lack of physical exercise, outdoor activities and the like, so that the myopia rate of children and teenagers in China is high, the myopia rate is continuously increased, the myopia is low-age and serious, the myopia problem of the children and teenagers is increasingly remarkable and is related to the future of China and nationality, and corresponding measures are urgently needed to be taken to improve the vision health overall level of the children and teenagers;
the application number 201910441433.3 discloses an intelligent processing method and device for vision detection of a self-help physical examination machine, which automatically completes a series of operations of detecting the number of people in a cabin, identifying whether to wear glasses and judging whether an eye shielding mode is correct, improves the automation degree of vision detection, saves manpower and improves the detection accuracy.
In the above patent, 1) the detection cost is high, the efficiency is low, the special detection doctor is required to be invited for each vision screening, the cost is high, the idle time detection is difficult to use, and the course time of students and teachers is required to be occupied; integration statistics of the detection results also take a lot of manpower time to process.
2) The data reporting is not timely, errors are easy to occur, the detection data are mutually independent, the data summarizing flow is tedious, errors are easy to occur, the comparison data cannot be analyzed timely, the vision detection situation is summarized, and the intervention is performed as soon as possible; therefore, the existing requirements are not met, and a vision self-help detection system is provided for the vision self-help detection system.
Disclosure of Invention
The invention aims to provide a vision self-help detection system, which is used for constructing a vision prevention and control system integrating a school, a family and a student, taking the school as a main guide, periodically carrying out vision screening, establishing a child teenager health electronic file, dynamically observing vision state changes in different periods, guiding parents and students to actively learn and master eye health knowledge and skills, prompting the child to develop good eye habit, recording and analyzing vision screening data can play a great role in the occurrence, development, transformation and intervention treatment of myopia of the child, can accurately and effectively prevent and control the myopia of the child teenager, and can solve the problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides a vision self-service detecting system, includes vision self-service detection all-in-one, vision analysis platform and APP applet, one side of vision self-service detection all-in-one is provided with hanging seat rail, and vision self-service detection all-in-one passes through sliding sleeve and hanging seat rail sliding connection, the bottom of hanging seat rail is provided with standardizes standing board, the surface of vision self-service detection all-in-one is provided with the touch-control display screen, the both sides of touch-control display screen all are provided with arm exhibition handle, and arm exhibition handle passes through screw connection with vision self-service detection all-in-one, the inboard of arm exhibition handle is provided with the switch response window, and the top of touch-control display screen is provided with vision detector main part, the both ends at vision self-service detection all are provided with clearance wind window subassembly, and the inside of clearance wind window subassembly is provided with fan structure.
The vision detector main body is in sliding connection with the vision self-service detection integrated machine through the telescopic storage groove, and a card reader is arranged below the touch display screen.
Preferably, the surface around the touch display screen is provided with infrared human body sensing probes, the number of the infrared human body sensing probes is four, and a loudspeaker unit is arranged between the vision detector main body and the touch display screen.
Preferably, the outer surface of vision detector main part is provided with the dust cover board, is provided with sealed partition frame between dust cover board and the vision detector main part, the dust cover board is connected with sealed partition frame rotation through main automatically controlled connecting axle, and sealed partition frame is connected through the draw-in groove with the vision detector main part.
Preferably, both ends of the inner side of the dustproof cover plate are respectively provided with a shading wing plate, the shading wing plates are rotationally connected with the dustproof cover plate through a side electric control connecting shaft, an ion fan is arranged on the inner side of the dustproof cover plate, and the ion fan is connected with the dustproof cover plate through screws.
Preferably, dust collection air holes are formed in the surface of the inner side of the sealing partition frame, a dust collection cavity is formed in the sealing partition frame, air pipe windows are formed in the upper portions of the two ends of the sealing partition frame, and the air pipe windows are connected with a cleaning air window assembly through pipelines.
Preferably, the vision analysis platform mainly comprises vision condition analysis, vision files, screening plans and system management, and is used for student information input and maintenance, screening plan establishment and tracking, statistical analysis of screening results and risk early warning.
Preferably, the vision analysis platform performs statistical analysis and risk early warning on each screening result by the following method:
the student information is marked according to the name, the birth year, the month and the day to form a data set corresponding to the student information and the marking sign in a matching way;
the historical vision conditions corresponding to each identification symbol are ranked according to the detected time, the historical vision values are compared and analyzed, and the ascending or descending percentage of any later group of vision values compared with the former group of vision values is calculated;
when the ascending amplitude of any later group of vision values compared with the previous group of vision values exceeds a preset ascending amplitude threshold value, judging that the vision of the student corresponding to the identification symbol is abnormal, and carrying out abnormal marking on the identification symbol;
the vision analysis platform carries out alarm reminding on the identification symbol with the abnormal mark to remind the student of the requirement of targeted vision treatment;
and uploading the vision data information and the abnormal mark condition corresponding to each student to a cloud for storage, and forming a corresponding vision file.
Preferably, the vision self-help detection all-in-one machine further comprises identity verification, project selection, report generation and posture management, and is used for self-help vision detection of students, and screening reports are generated immediately after the detection is finished;
the APP applet mainly comprises detection feedback, a history record, personal information and data comparison, and is used for parents to check the vision health condition of children and timely master the vision change condition of the children.
Preferably, the rotation angle of the shading wing plate when the vision test is performed is determined by the following method:
acquiring the head placement position parameters of a person to be detected in the vision detector main body;
determining eye position parameters of a person to be detected according to the head placing position parameters, and detecting the linear distance between the two shading wing plates;
determining the respective maximum rotation distance of the two shading wing plates under the condition that the direct vision of a person to be detected is not affected on the basis of the eye position parameters and the linear distance between the two shading wing plates;
determining the adjustable angle range of each shading wing plate according to the respective maximum rotation distance of the two shading wing plates;
detecting the ambient brightness in the horizontal direction of the eye position of the person to be detected and the visual content in the visual range of the person to be detected;
respectively determining a light emission coefficient in front, a light reflection coefficient in front left and a light reflection coefficient in front right, which are observed by eyes of a person to be detected, according to the visual content;
calculating the vision influence degree of the ambient brightness on the person to be detected according to the parameters:
wherein F is expressed as the influence of the ambient brightness on the vision of the person to be detected,expressed as ambient brightness>Is expressed as the limit brightness of the human eye which does not affect normal viewing, ln is expressed as natural logarithm,/->Expressed as the light emission coefficient directly in front of the eye of the person to be detected, is +.>Represented as the light reflection coefficient in the left front observed by the eyes of the person to be detected,expressed as the light reflection coefficient of the right front observed by the eyes of the person to be detected, +.>The influence factors are expressed as influence factors corresponding to the space decoration style, a is expressed as a static vision grading value of the person to be detected, and b is expressed as a dynamic vision grading value of the person to be detected;
determining a plurality of adjustment angles of each shading wing plate according to the adjustable angle range of the shading wing plate;
acquiring shading brightness of each shading wing plate under each adjusting angle;
according to the shading brightness and the environment brightness of each shading wing plate under each adjusting angle, calculating the effect value of each shading wing plate under each adjusting angle on the vision influence degree of the person to be detected:
wherein ,expressed as the effect value of the shade flap 1 under the ith adjustment schedule,/for>Represented as shading brightness of shading flap under ith adjustment schedule, +.>A shading gain factor denoted as shading flap 1 at the ith adjustment schedule;
and selecting a target adjustment angle corresponding to the maximum effect value of each shading wing plate to confirm the target adjustment angle as the rotation angle of the shading wing plate during vision detection.
Preferably, the self-help detection system comprises the following steps:
s1: the identity of the person is identified and,
the identity verification is completed through the modes of identity card scanning, IC card recognition, face recognition, weChat code scanning, APP code scanning, manual input and the like;
s2: the preparation for the detection is carried out,
under the guidance of the voice and interface of the detection terminal, preparation works such as testing positions, shielding eyes, operating and testing are completed;
s3: the self-help detection is carried out,
the system prompts the user to operate according to steps through the display, and the self-help vision detection is completed through interaction between equipment such as a camera, a microphone and the like and the user;
s4: the data is stored and analyzed to determine,
the system performs profiling, data storage and data analysis through the collected test data. Storing and analyzing data;
s5: the results of the query are presented in the form of a query,
the user can print the report on site, and can inquire and print the report through APP\public number\applet\website\support the automatic sending of the report.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, in the self-help detection process, a student needs to stand on a standard standing board and face the vision self-help detection integrated machine, then holds the arm stretching handle structures at two sides of the vision self-help detection integrated machine by two hands, when holding the arm stretching handle by two hands, the switch induction window senses human body information, a power supply is started, the vision self-help detection integrated machine senses the human body height condition of the current student through the infrared human body induction probe on the surface, and then the height of the vision self-help detection integrated machine is adjusted through the wall-hanging seat rail so as to adapt to the height of the current student, and further avoid the situation that the detection data caused by the height are inaccurate when the students of different heights are self-help detected;
2. according to the invention, the ion fan can eliminate dust static electricity on the surface of the lens, so that dust is prevented from being adsorbed on the surface of the lens, then the dust is sucked into the sealing partition frame by being matched with the cleaning air window assembly at the top of the integrated machine, and then the dust is discharged from the window, so that the aim of cleaning is achieved, and the influence on detection precision due to dust accumulation is avoided;
3. according to the invention, only one student is required to detect by himself in the vision detection process, man-machine interaction, voice response or gesture command on the opening direction of the sighting target is fast in recognition speed, vision detection results can be automatically judged after detection is finished, data are uploaded and counted in real time and synchronized to a school leader teacher and parents, a three-party vision prevention and control system for schools, families and students is built, vision screening is conducted regularly by taking schools as the leading, a child teenager health electronic file is built, vision state changes in different periods are observed dynamically, parents and students are led to learn and master eye health knowledge and skills actively, good eye habit is urged to develop for children, and recording and analysis of vision screening data play a great role in generating, developing, returning and intervening treatment of myopia of children, and myopia of children can be prevented and controlled accurately and effectively.
Drawings
FIG. 1 is an overall front view of the present invention;
FIG. 2 is a schematic view of the static structure of the vision self-help detection all-in-one machine of the invention;
FIG. 3 is a schematic diagram of the dynamic structure of the vision self-help detection all-in-one machine of the invention;
FIG. 4 is a schematic view of the main structure of the vision detector of the present invention;
FIG. 5 is a schematic view of a seal partition frame structure according to the present invention;
FIG. 6 is a schematic cross-sectional view of a seal partition frame according to the present invention;
FIG. 7 is a schematic diagram of a self-help vision inspection system of the present invention;
fig. 8 is a flow chart of the vision self-help test of the present invention.
In the figure: 1. vision self-help detection all-in-one machine; 2. wall hanging seat rail; 3. normalizing the standing board; 4. a vision analysis platform; 5. APP applet; 101. a card reader; 102. an arm-spreading grip; 103. switching the induction window; 104. a touch display screen; 105. an infrared human body induction probe; 106. a vision tester body; 107. cleaning the wind window assembly; 108. a speaker unit; 109. a telescopic storage groove; 1061. a dust-proof cover plate; 1062. a shading wing plate; 1063. an ion blower; 1064. a side electric control connecting shaft; 1065. sealing the partition frame; 1066. dust collection air holes; 1067. an air duct window; 1068. a main electric control connecting shaft; 1069. dust removal channel.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, an embodiment of the present invention is provided: the vision self-help detection system comprises a vision self-help detection integrated machine 1, a vision analysis platform 4 and an APP applet 5, wherein a wall-mounted seat rail 2 is arranged on one side of the vision self-help detection integrated machine 1, the vision self-help detection integrated machine 1 is in sliding connection with the wall-mounted seat rail 2 through a sliding sleeve, a standard standing board 3 is arranged at the bottom of the wall-mounted seat rail 2, a touch display screen 104 is arranged on the outer surface of the vision self-help detection integrated machine 1, an arm display grip 102 is arranged on two sides of the touch display screen 104, the arm display grip 102 is connected with the vision self-help detection integrated machine 1 through screws, a switch induction window 103 is arranged on the inner side of the arm display grip 102, a vision detector main body 106 is arranged on the upper side of the touch display screen 104, a cleaning air window assembly 107 is arranged on two ends of the top of the vision self-help detection integrated machine 1, a fan structure is arranged inside the cleaning air window assembly 107, the vision detector main body 106 is in sliding connection with the vision self-help detection integrated machine 1 through a telescopic storage groove 109, a card reader 101 is arranged below the touch display screen 104, an infrared human body induction probe 105 is arranged on the surface around the touch display screen 104, and an infrared human body induction probe 105 is arranged between the infrared human body induction probe 105 and the four touch detection main bodies 106 and the touch display screen 108;
in the process of self-help detection, a student needs to stand on the standard standing board 3 and face the vision self-help detection integrated machine 1, then the hands hold the arm stretching handles 102 on two sides of the vision self-help detection integrated machine 1, when the hands hold the arm stretching handles 102, the switch sensing window 103 senses human body information, a power supply is started, the vision self-help detection integrated machine 1 senses the human body height condition of the current student through the infrared human body sensing probe 105 on the surface, and then the height of the vision self-help detection integrated machine 1 is adjusted through the wall-hanging seat rail 2 so as to adapt to the height of the current student, and further, the condition that the detection data caused by the height are inaccurate when the students of different heights carry out self-help detection is avoided.
Referring to fig. 4-6, a dust-proof cover plate 1061 is disposed on the outer surface of the vision detector main body 106, a sealing partition frame 1065 is disposed between the dust-proof cover plate 1061 and the vision detector main body 106, the dust-proof cover plate 1061 is rotatably connected with the sealing partition frame 1065 through a main electric control connecting shaft 1068, the sealing partition frame 1065 is connected with the vision detector main body 106 through a clamping slot, two ends of the inner side of the dust-proof cover plate 1061 are both provided with shading wing plates 1062, the shading wing plates 1062 are rotatably connected with the dust-proof cover plate 1061 through a side electric control connecting shaft 1064, an ion fan 1063 is disposed on the inner side of the dust-proof cover plate 1061, the ion fan 1063 is connected with the dust-proof cover plate 1061 through screws, dust-absorbing air holes 1066 are disposed on the inner side surface of the sealing partition frame 1065, dust-proof channels 1069 are disposed in the inner side of the sealing partition frame 1065, air pipe windows 1067 are disposed above two ends of the sealing partition frame 1065, and the cleaning air pipe windows 1067 are connected with the cleaning air window assembly 107 through pipes;
after the height is adjusted, the vision detector main body 106 can be stretched out from the inside of the all-in-one machine, after the vision detector main body 106 is stretched, the outer dustproof cover plate 1061 is turned upwards and unfolded, when the dustproof cover plate 1061 is rotated to the maximum angle, the shading wing plate 1062 on the inner side of the dustproof cover plate 1061 is also turned outwards and unfolded, so that the lens main body area of the vision detector main body 106 can be covered, the situation of light reflection and astigmatism is prevented, after the detection is finished, the dustproof cover plate 1061 and the shading wing plate 1062 are sequentially retracted and finally reset together with the vision detector main body 106, after the reset, the ion fan 1063 on the inner surface of the dustproof cover plate 1061 is started to operate, dust static electricity on the lens surface can be eliminated through the ion fan 1063, dust is prevented from being adsorbed on the lens surface, then the dust is sucked into the sealing partition frame 1065 by matching with the cleaning wind window assembly 107 on the top of the all-in-one machine, the aim of cleaning is achieved, and the detection precision is prevented from being influenced by dust accumulation.
Referring to fig. 7-8, the vision analysis platform 4 mainly includes vision condition analysis, vision files, screening plans and system management, and is used for student information input and maintenance, screening plan establishment and tracking, statistical analysis of screening results and risk early warning.
Preferably, the vision analysis platform 4 performs statistical analysis and risk early warning on each screening result by the following method:
the student information is marked according to the name, the birth year, the month and the day to form a data set corresponding to the student information and the marking sign in a matching way;
the historical vision conditions corresponding to each identification symbol are ranked according to the detected time, the historical vision values are compared and analyzed, and the ascending or descending percentage of any later group of vision values compared with the former group of vision values is calculated;
when the ascending amplitude of any later group of vision values compared with the previous group of vision values exceeds a preset ascending amplitude threshold value, judging that the vision of the student corresponding to the identification symbol is abnormal, and carrying out abnormal marking on the identification symbol;
the vision analysis platform 4 carries out alarm reminding on the identification symbol with the abnormal mark to remind the student of the requirement of targeted vision treatment;
and uploading the vision data information and the abnormal mark condition corresponding to each student to a cloud for storage, and forming a corresponding vision file.
In the embodiment, the data set corresponding to the matching of the student information and the identification symbol is formed, the corresponding student information can be quickly searched through the identification symbol, the identification symbols of different students can form a set, and the student information can be correspondingly acquired through the set, so that the management is convenient;
in the embodiment, the vision condition of any student is sequenced according to the detected time, so that the change curve of the vision along with the time can be conveniently known;
in the above embodiment, by comparing the difference between the vision value of the latter group and the vision value of the former group, whether the vision value of the latter group is rising or falling compared with the vision value of the former group is judged, the vision change and the magnitude of the change can be mastered;
the principle and the technical effect of the technical scheme are as follows: through dividing the identification sign to student information, the management and the search of student information have been made things convenient for, through carrying out the front and back comparison with student's eyesight condition, obtain the variation condition of eyesight, when there is rising and rising the amplitude exceeds the threshold value of predetermineeing rising amplitude in the eyesight, then it has the abnormality to judge that student's eyesight variation exists, carry out the unusual label mark, and remind the student that this identification label corresponds through the mode of alarm to need treat the eyesight, the information of every student's every turn detects all establishes the eyesight archives through the mode that uploads the high in the clouds, make things convenient for long-term tracking management, also make things convenient for parents or school to carry out real-time supervision to student's eyesight condition.
The vision self-help detection all-in-one machine 1 also comprises identity verification, project selection, report generation and posture management, is used for student self-help vision detection, and immediately generates a screening report after detection is finished, and the APP applet 5 mainly comprises detection feedback, history records, personal information and data comparison, is used for parents to check the vision health condition of the child and timely master the vision change condition of the child;
man-machine interaction and self-help detection are adopted in the vision screening process, and a professional detection doctor is not required to be aside; the opening direction of the visual target is supported by voice or gesture recognition, the recognition speed is high, and a visual target can be recognized about 2S; automatically judging vision inspection results after detecting the results, uploading and counting the data in real time,
by adopting technologies such as big data, cloud computing, mobile internet and the like, screening data is counted in real time, comprehensively and accurately through a multi-dimensional chart, a multi-level chart and a multi-index chart, so that schools or parents can conveniently monitor and analyze the vision health change trend and condition of students in real time, basis is provided for myopia prevention and control work, and early monitoring, early discovery, early warning and early intervention are truly achieved.
In one embodiment, the angle of rotation of the shield wing 1062 during vision testing is determined by:
acquiring the head placement position parameters of a person to be detected in the vision detector main body 106;
determining eye position parameters of a person to be detected according to the head placement position parameters, and detecting a linear distance between the two shading wing plates 1062;
determining respective maximum rotational distances of the two light shielding wings 1062 without affecting direct vision of the person to be detected based on the eye position parameter and the linear distance between the two light shielding wings 1062;
determining an adjustable angular range of each of the two light shielding flaps 1062 based on the respective maximum rotational distance of the two light shielding flaps 1062;
detecting the ambient brightness in the horizontal direction of the eye position of the person to be detected and the visual content in the visual range of the person to be detected;
respectively determining a light emission coefficient in front, a light reflection coefficient in front left and a light reflection coefficient in front right, which are observed by eyes of a person to be detected, according to the visual content;
calculating the vision influence degree of the ambient brightness on the person to be detected according to the parameters:
wherein F is expressed as the influence of the ambient brightness on the vision of the person to be detected,expressed as ambient brightness>Is expressed as the limit brightness of the human eye which does not affect normal viewing, ln is expressed as natural logarithm,/->Expressed as the light emission coefficient directly in front of the eye of the person to be detected, is +.>Represented as the light reflection coefficient in the left front observed by the eyes of the person to be detected,expressed as the light reflection coefficient of the right front observed by the eyes of the person to be detected, +.>The influence factors are expressed as influence factors corresponding to the space decoration style, a is expressed as a static vision grading value of the person to be detected, and b is expressed as a dynamic vision grading value of the person to be detected; shading gain
Determining a plurality of adjustment angles for each of the light shield wings 1062 based on the adjustable angular range of that light shield wing;
acquiring the shading brightness of each shading wing plate 1062 under each adjustment angle;
the effect value of each shading wing plate under each adjusting angle is calculated according to the shading brightness and the environmental brightness of each shading wing plate 1062 under each adjusting angle and the vision influence degree of the personnel to be detected:
wherein ,expressed as the effect value of the shade flap 1 under the ith adjustment schedule,/for>Represented as shading luminance at the ith adjustment schedule, denoted as shading flap 1062,>a shading gain factor denoted as shading flap 1062 at the ith adjustment schedule;
the target adjustment angle corresponding to the maximum effect value of each light shielding flap is selected to be confirmed as the rotation angle of the light shielding flap 1062 at the time of vision detection.
The beneficial effects of the technical scheme are as follows: the influence degree of the environment brightness on the vision of the person to be detected can be comprehensively estimated based on the vision condition of the person to be detected and the light reflection coefficient in the space, so that a reference basis is provided for determining whether to rotate the shading wing plates for shading or not subsequently, the practicability is improved, and further, the shading evaluation value of each shading wing plate under each adjusting angle can be intuitively estimated by calculating the effect value of each shading wing plate under each adjusting angle, so that the optimal adjusting angle is selected to ensure the optimal shading effect, the external interference is reduced while the vision detection stability of the subsequent person to be detected is ensured, the detection result is more accurate and objective, and the practicability is further improved.
The self-help detection system comprises the following steps:
s1: the identity of the person is identified and,
the identity verification is completed through the modes of identity card scanning, IC card recognition, face recognition, weChat code scanning, APP code scanning, manual input and the like;
s2: the preparation for the detection is carried out,
under the guidance of the voice and interface of the detection terminal, preparation works such as testing positions, shielding eyes, operating and testing are completed;
s3: the self-help detection is carried out,
the system prompts the user to operate according to steps through the display, and the self-help vision detection is completed through interaction between equipment such as a camera, a microphone and the like and the user;
s4: the data is stored and analyzed to determine,
the system performs profiling, data storage and data analysis through the collected test data. Storing and analyzing data;
s5: the results of the query are presented in the form of a query,
the user can print the report on site, and can inquire and print the report through APP\public number\applet\website\support the automatic sending of the report.
The working principle is that a student needs to stand on the standard standing board 3 and face the vision self-help detection integrated machine 1 in the self-help detection process, then holds the structures of the arm display handles 102 on two sides of the vision self-help detection integrated machine 1 by two hands, when holding the arm display handles 102 by two hands, the switch sensing window 103 senses human body information, a power supply is started, the vision self-help detection integrated machine 1 senses the human body height condition of the current student through the infrared human body sensing probe 105 on the surface, then the height of the vision self-help detection integrated machine 1 is adjusted through the wall-mounted seat rail 2 so as to adapt to the height of the current student, the condition that the detection data caused by the height are inaccurate when the students of different heights are detected by two hands is avoided, the vision detector main body 106 can extend out from the inside of the integrated machine after the height adjustment is finished, after the vision detector main body 106 is stretched, the outer dust-proof cover plate 1061 is turned upwards to be unfolded, when the dust-proof cover plate 1061 rotates to the maximum angle, the shading wing plate 1062 on the inner side of the dust-proof cover plate 1061 is also turned outwards to be unfolded, so that the lens main body area of the vision detector main body 106 can be covered to prevent the situation of reflection and astigmatism, after the detection is finished, the dust-proof cover plate 1061 and the shading wing plate 1062 are sequentially retracted and finally reset together with the vision detector main body 106, after the reset, the ion fan 1063 on the inner surface of the dust-proof cover plate 1061 is started to operate, dust static electricity on the lens surface can be eliminated through the ion fan 1063, dust is prevented from being adsorbed on the lens surface, then the dust is sucked into the sealing partition frame 1065 by being matched with the cleaning wind window assembly 107 on the top of the integrated machine, and then the dust is discharged from the window to achieve the aim of cleaning, the influence on the detection precision caused by dust accumulation is avoided.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. The utility model provides a vision self-service detecting system, includes vision self-service detection all-in-one (1), vision analysis platform (4) and APP applet (5), its characterized in that: one side of vision self-service detection all-in-one machine (1) is provided with hanging seat rail (2), and vision self-service detection all-in-one machine (1) passes through sliding sleeve and hanging seat rail (2) sliding connection, the bottom of hanging seat rail (2) is provided with standardizes standing board (3), the surface of vision self-service detection all-in-one machine (1) is provided with touch display screen (104), the both sides of touch display screen (104) all are provided with arm exhibition handle (102), and arm exhibition handle (102) passes through screw connection with vision self-service detection all-in-one machine (1), the inboard of arm exhibition handle (102) is provided with switch sensing window (103), and the top of touch display screen (104) is provided with vision detector main part (106), the both ends at vision self-service detection all-in-one machine (1) top all are provided with clearance window subassembly (107), and the inside of clearance window subassembly (107) is provided with fan structure;
the vision detector main body (106) is in sliding connection with the vision self-service detection integrated machine (1) through the telescopic storage groove (109), and a card reader (101) is arranged below the touch display screen (104);
an infrared human body induction probe (105) is arranged on the surface around the touch display screen (104), four infrared human body induction probes (105) are arranged, and a loudspeaker unit (108) is arranged between the vision detector main body (106) and the touch display screen (104);
the visual acuity detector comprises a visual acuity detector main body (106), a dustproof cover plate (1061) and a sealing partition frame (1065) arranged between the dustproof cover plate (1061) and the visual acuity detector main body (106), wherein the dustproof cover plate (1061) is rotationally connected with the sealing partition frame (1065) through a main electric control connecting shaft (1068), and the sealing partition frame (1065) is connected with the visual acuity detector main body (106) through a clamping groove;
both ends of the inner side of the dustproof cover plate (1061) are provided with shading wing plates (1062), the shading wing plates (1062) are rotationally connected with the dustproof cover plate (1061) through side electric control connecting shafts (1064), the inner side of the dustproof cover plate (1061) is provided with an ion fan (1063), and the ion fan (1063) is connected with the dustproof cover plate (1061) through screws;
the rotation angle of the shading wing plate (1062) during vision detection is determined by the following steps:
acquiring the head placement position parameters of a person to be detected in the vision detector main body (106);
determining eye position parameters of a person to be detected according to the head placement position parameters, and detecting a linear distance between two shading wing plates (1062);
determining a respective maximum rotational distance of the two light shielding flaps (1062) without affecting direct vision of the person to be detected, based on the eye position parameter and a linear distance between the two light shielding flaps (1062);
determining an adjustable angular range of each of the shade wings (1062) based on the respective maximum rotational distance of the two shade wings (1062);
detecting the ambient brightness in the horizontal direction of the eye position of the person to be detected and the visual content in the visual range of the person to be detected;
respectively determining a light emission coefficient in front, a light reflection coefficient in front left and a light reflection coefficient in front right, which are observed by eyes of a person to be detected, according to the visual content;
calculating the vision influence degree of the ambient brightness on the person to be detected according to the parameters:
；
wherein F is expressed as the influence of the ambient brightness on the vision of the person to be detected,expressed as ambient brightness>Is expressed as the limit brightness of the human eye which does not affect normal viewing, ln is expressed as natural logarithm,/->Expressed as the light emission coefficient directly in front of the eye of the person to be detected, is +.>Expressed as the light reflection coefficient of the left front observed by the eyes of the person to be detected, +.>Expressed as the light reflection coefficient of the right front observed by the eyes of the person to be detected, +.>The influence factors are expressed as influence factors corresponding to the space decoration style, a is expressed as a static vision grading value of the person to be detected, and b is expressed as a dynamic vision grading value of the person to be detected;
determining a plurality of adjustment angles for each of the shade wings (1062) based on the adjustable angular range of the shade wing;
acquiring shading brightness of each shading wing plate (1062) under each adjusting angle;
according to the shading brightness and the environment brightness of each shading wing plate (1062) under each adjusting angle, calculating the effect value of each shading wing plate under each adjusting angle on the vision influence degree of the person to be detected:
；
wherein ,expressed as the effect value of the shade flap in the ith adjustment schedule, < >>Represented as shading luminance at the ith adjustment schedule, represented as shading flap (1062),/>A shading gain factor denoted as shading flap (1062) at the ith adjustment schedule;
the target adjustment angle corresponding to the maximum effect value of each shading wing plate is selected to be confirmed as the rotation angle of the shading wing plate (1062) during vision detection.
2. A vision self-help detection system as defined in claim 1, wherein: the dust collection device is characterized in that dust collection air holes (1066) are formed in the inner side surface of the sealing partition frame (1065), dust collection channels (1069) are formed in the sealing partition frame (1065), air pipe windows (1067) are formed in the upper portions of the two ends of the sealing partition frame (1065), and the air pipe windows (1067) are connected with the cleaning air window assembly (107) through pipelines.
3. A vision self-help detection system as defined in claim 2, wherein: the vision analysis platform (4) comprises vision condition analysis, vision files, screening plans and system management, and is used for student information input and maintenance, screening plan establishment and tracking, statistical analysis of screening results and risk early warning.
4. A vision self-help test system as defined in claim 3, wherein: the vision analysis platform (4) performs statistical analysis and risk early warning on each screening result by the following method:
the student information is marked according to the name, the birth year, the month and the day to form a data set corresponding to the student information and the marking sign in a matching way;
the historical vision conditions corresponding to each identification symbol are ranked according to the detected time, the historical vision values are compared and analyzed, and the ascending or descending percentage of any later group of vision values compared with the former group of vision values is calculated;
when the ascending amplitude of any later group of vision values compared with the previous group of vision values exceeds a preset ascending amplitude threshold value, judging that the vision of the student corresponding to the identification symbol is abnormal, and carrying out abnormal marking on the identification symbol;
the vision analysis platform (4) carries out alarm reminding on the identification symbol with the abnormal mark to remind the student of the requirement of targeted vision treatment;
and uploading the vision data information and the abnormal mark condition corresponding to each student to a cloud for storage, and forming a corresponding vision file.
5. A vision self-service testing system as defined in claim 4, wherein: the vision self-help detection integrated machine (1) further comprises identity verification, project selection, report generation and posture management, and is used for self-help vision detection of students, and screening reports are generated immediately after the detection is finished;
the APP applet (5) comprises detection feedback, a history record, personal information and data comparison, and is used for parents to check the vision health condition of children and timely master the vision change condition of the children.
6. A vision self-service testing system as defined in claim 5, wherein: the self-help detection system comprises the following steps:
s1: the identity of the person is identified and,
the identity verification is completed through the modes of identity card scanning, IC card recognition, face recognition, weChat code scanning, APP code scanning, manual input and the like;
s2: the preparation for the detection is carried out,
under the guidance of the voice and interface of the detection terminal, preparation works such as testing positions, shielding eyes, operating and testing are completed;
s3: the self-help detection is carried out,
the system prompts the user to operate according to steps through the display, and the self-help vision detection is completed through interaction between equipment such as a camera, a microphone and the like and the user;
s4: the data is stored and analyzed to determine,
the system performs profiling, data storage, data analysis, storage and data analysis through the collected test data;
s5: the results of the query are presented in the form of a query,
the user prints the report on site, and supports the automatic sending of the report through APP, public number, applet, website query and report printing.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211447146.1A CN115715666B (en) | 2022-11-18 | 2022-11-18 | Vision self-help detection system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211447146.1A CN115715666B (en) | 2022-11-18 | 2022-11-18 | Vision self-help detection system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN115715666A CN115715666A (en) | 2023-02-28 |
| CN115715666B true CN115715666B (en) | 2023-08-15 |
Family
ID=85255578
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211447146.1A Active CN115715666B (en) | 2022-11-18 | 2022-11-18 | Vision self-help detection system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115715666B (en) |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007082732A (en) * | 2005-09-22 | 2007-04-05 | Kowa Co | Ophthalmic apparatus |
| CN109106333A (en) * | 2018-09-29 | 2019-01-01 | 广西南宁园丁医疗器械有限公司 | A kind of self-service vision drop system of automatic adjustable and device |
| CN110435400A (en) * | 2019-09-18 | 2019-11-12 | 戴姆勒股份公司 | Automotive sunshade panel automatic regulating system based on image recognition |
| CN211460157U (en) * | 2019-12-02 | 2020-09-11 | 陶梦璋 | Multifunctional visual chart for ophthalmology |
| JP2020162933A (en) * | 2019-03-29 | 2020-10-08 | 株式会社ニデック | Optometry device, optometry program, and optometry system |
| CN112932402A (en) * | 2021-02-07 | 2021-06-11 | 浙江工贸职业技术学院 | Self-service vision screening system based on artificial intelligence and intelligent perception |
| CN114052651A (en) * | 2021-11-15 | 2022-02-18 | 北京泓淇科技股份有限公司 | Vision test equipment and test method for vision detection |
| CN216652259U (en) * | 2021-10-21 | 2022-06-03 | 柳州市工人医院 | Head limiting device for ophthalmologic examination |
-
2022
- 2022-11-18 CN CN202211447146.1A patent/CN115715666B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2007082732A (en) * | 2005-09-22 | 2007-04-05 | Kowa Co | Ophthalmic apparatus |
| CN109106333A (en) * | 2018-09-29 | 2019-01-01 | 广西南宁园丁医疗器械有限公司 | A kind of self-service vision drop system of automatic adjustable and device |
| JP2020162933A (en) * | 2019-03-29 | 2020-10-08 | 株式会社ニデック | Optometry device, optometry program, and optometry system |
| CN110435400A (en) * | 2019-09-18 | 2019-11-12 | 戴姆勒股份公司 | Automotive sunshade panel automatic regulating system based on image recognition |
| CN211460157U (en) * | 2019-12-02 | 2020-09-11 | 陶梦璋 | Multifunctional visual chart for ophthalmology |
| CN112932402A (en) * | 2021-02-07 | 2021-06-11 | 浙江工贸职业技术学院 | Self-service vision screening system based on artificial intelligence and intelligent perception |
| CN216652259U (en) * | 2021-10-21 | 2022-06-03 | 柳州市工人医院 | Head limiting device for ophthalmologic examination |
| CN114052651A (en) * | 2021-11-15 | 2022-02-18 | 北京泓淇科技股份有限公司 | Vision test equipment and test method for vision detection |
Also Published As
| Publication number | Publication date |
|---|---|
| CN115715666A (en) | 2023-02-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105825189B (en) | A kind of device automatically analyzed for university student to class rate and focus of attending class | |
| WO2020186480A1 (en) | Myopia prediction system and method | |
| CN109157186A (en) | Unmanned self-service vision monitoring instrument | |
| CN105300854B (en) | Droplet parameter measuring apparatus and the droplet parameter measurement analysis method for utilizing the device | |
| CN112932402A (en) | Self-service vision screening system based on artificial intelligence and intelligent perception | |
| CN104605810B (en) | A kind of for the dioptric detecting system of progressive multi-focus lens | |
| CN104840181A (en) | Cloud intelligent vision health physical examination instrument | |
| CN110710796A (en) | Intelligent sitting posture monitoring and management system and method | |
| CN109003665A (en) | Eyesight detection method, device, equipment and storage medium based on terminal equipment | |
| CN112099375A (en) | Intelligent home control method, device and system based on health strategy | |
| CN115715666B (en) | Vision self-help detection system | |
| CN112836945B (en) | Quantitative evaluation method for teaching states of teachers and students | |
| CN111700584A (en) | Intelligent eyesight detection system | |
| CN109924941A (en) | A kind of automatic carry out data collection and the quick vision drop method of analysis | |
| CN115937928A (en) | Learning state monitoring method and system based on multi-vision feature fusion | |
| CN110889908A (en) | Intelligent sign-in system integrating face recognition and data analysis | |
| CN118212584A (en) | Learning accompanying method, device, robot and medium based on environment light monitoring | |
| CN117339184A (en) | Intelligent easy-to-operate body-building sports equipment | |
| CN115732091A (en) | Self-service vision screening system | |
| CN111765921A (en) | Wisdom campus environmental monitoring system | |
| KR20200000680U (en) | The Device for improving the study concentration | |
| CN203929911U (en) | The multi-functional analysis instrument of portable power | |
| CN212853442U (en) | Unattended group vision screening device | |
| CN113884172A (en) | Intelligent height and weight measuring system for infants | |
| CN209591267U (en) | A kind of selected by flow cytometry apoptosis displaying simulation system |
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 | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |