CN115715666A - Self-service eyesight detection system - Google Patents
Self-service eyesight detection system Download PDFInfo
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Abstract
The invention discloses a vision self-service detection system, and belongs to the technical field of vision detection. A vision self-service detection system comprises a vision self-service detection all-in-one machine, a vision analysis platform and an APP applet. In order to solve the problems that data reporting is not timely and error is prone to occurring, detected data are mutually independent, a data gathering process is complicated and error prone, compared data cannot be analyzed timely, and visual detection conditions can be summarized, a visual prevention and control system integrating a school, a family and students is built, the school is taken as the leading factor, visual screening is regularly carried out, a health electronic file of children and teenagers is built, visual state changes in different periods are dynamically observed, parents and students are led to actively learn and master eye health knowledge and skills, children are urged to develop good eye using habits, recording and analyzing of visual screening data play a great role in occurrence, development, return and intervention treatment of myopia of the children, and myopia of the children and the teenagers can be accurately and effectively prevented and controlled.
Description
Technical Field
The invention relates to the technical field of vision detection, in particular to a vision self-service detection system.
Background
Along with social informatization, more and more students use electronic products such as mobile phones and computers, the factors such as heavy curriculum burden, fatigue eye use, insanitary eye use, lack of physical exercise and outdoor activities of primary and secondary school students cause that the myopia rate of children and teenagers in China is high and continuously rises, the myopia is low and severe, the myopia problem of children and teenagers is increasingly remarkable, and the myopia is related to the future of the nation and the nation, and corresponding measures are urgently needed to improve the overall level of the eyesight health of children and teenagers;
application number 201910441433.3 discloses an intelligent processing method and device for vision detection of a self-service physical examination machine, which automatically complete a series of operations of detecting the number of people in a cabin, identifying whether to wear glasses or not, and judging whether the eye shielding mode is correct or not, improves the automation degree of vision detection, saves manpower, and simultaneously improves the detection accuracy.
In the patent, 1) the detection cost is high, the efficiency is low, professional detection doctors need to be invited every time of vision screening, the cost is high, idle time is difficult to use for detection, and the course time of students and teachers needs to be occupied; the integrated statistics of the test results also take a lot of human time to process.
2) The data reporting is not timely and is easy to make mistakes, the detection data are mutually independent, the data summarizing process is complicated and is easy to make mistakes, the comparison data cannot be analyzed in time, the vision detection condition is summarized, and the intervention is performed as early as possible; therefore, the existing requirements are not met, and the vision self-service detection system is provided.
Disclosure of Invention
The invention aims to provide a vision self-help detection system, which constructs a vision prevention and control system integrating a school, a family and students, is dominated by the school, regularly carries out vision screening, establishes a health electronic file of children and teenagers, dynamically observes vision state changes in different periods, leads parents and students to actively learn and master eye health knowledge and skills, supervises and urges the children to develop good eye using habits, and records and analyzes vision screening data, thereby playing a great role in occurrence, development, regression and intervention treatment of myopia of the children, accurately and effectively preventing and controlling the myopia of the children and the teenagers and solving the problems in the prior art.
In order to achieve the purpose, the invention provides the following technical scheme: the utility model provides a self-service detecting system of vision, includes that vision detects all-in-one, visual analysis platform and APP applet by oneself, one side that vision detects all-in-one by oneself is provided with hanging seat rail, and vision detects all-in-one by oneself and passes through sliding sleeve and hanging seat rail sliding connection, the bottom of hanging seat rail is provided with standard station board, the surface that vision detects all-in-one by oneself 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 the vision detects all-in-one by oneself, the inboard of arm exhibition handle is provided with the switch response window, and the top of touch-control display screen is provided with the visual detection appearance main part, the both ends at vision detects all-in-one top by oneself all are provided with clearance louver subassembly, and the inside of clearance louver subassembly is provided with the fan structure.
The vision detector main part is through flexible groove of accomodating and vision self-service detection all-in-one sliding connection, the below of touch-control display screen is provided with the card reader.
Preferably, the surface around the touch display screen is provided with four infrared human body inductive probes, and a loudspeaker unit is arranged between the vision detector main body and the touch display screen.
Preferably, the outer surface of the vision detector main body is provided with a dustproof cover plate, a sealing partition frame is arranged between the dustproof cover plate and the vision detector main body, the dustproof cover plate is rotatably connected with the sealing partition frame through a main electric control connecting shaft, and the sealing partition frame is connected with the vision detector main body through a clamping groove.
Preferably, both ends of the inner side of the dustproof cover plate are provided with shading wing plates, the shading wing plates are rotatably connected with the dustproof cover plate through side electric control connecting shafts, the inner side of the dustproof cover plate is provided with an ion fan, and the ion fan is connected with the dustproof cover plate through screws.
Preferably, the surface of the inner side of the sealing partition frame is provided with dust collection air holes, the inside of the sealing partition frame is provided with a dust collection cavity channel, the upper parts of the two ends of the sealing partition frame are provided with air duct windows, and the air duct windows are connected with the cleaning air window assembly through pipelines.
Preferably, the vision analysis platform mainly comprises vision condition analysis, vision archives, screening plans and system management, and is used for student information entry and maintenance, screening plan establishment and tracking, statistical analysis of each screening result and risk early warning.
Preferably, the vision analysis platform performs statistical analysis and risk early warning on each screening result by the following method:
carrying out identification signs on the student information according to names and birth years, months, days and the like to form a data set corresponding to the matching of the student information and the identification signs;
sequencing the historical vision conditions corresponding to each identifier according to the detection time, comparing and analyzing the historical vision values, and calculating the rising or falling percentage of any next group of vision values compared with the previous group of vision values;
when the rising amplitude of any next group of vision numerical values compared with the previous group of vision numerical values exceeds a preset rising 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 treating vision pertinently;
and uploading the vision data information and the abnormal marking condition corresponding to each student to a cloud for storage, and forming a corresponding vision file.
Preferably, the vision self-service detection all-in-one machine further comprises identity verification, item selection, report generation and posture management, and is used for self-service vision detection of students, and a screening report is generated immediately after the detection is finished;
the APP applet mainly comprises detection feedback, historical records, 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 light shielding wing plate during vision detection is determined by the following method:
acquiring head placing position parameters of a person to be detected on a main body of the vision detector;
determining the eye position parameters of the 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 rotating distance of the two shading wing plates under the condition of not influencing the direct vision of a person to be detected based on the eye position parameter 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 a person to be detected and the visual content in the visual range of the person to be detected;
respectively determining the light reflection coefficient of the front right, the light reflection coefficient of the front left and the light reflection coefficient of the front right observed by the eyes of a person to be detected according to the visual contents;
calculating the influence degree of the ambient brightness on the vision of the person to be detected according to the parameters:
wherein F is the influence degree of the ambient brightness on the vision of the person to be detected, and Q 1 Expressed as ambient brightness, Q 2 Expressed as the human eye bearing limit brightness without affecting normal viewing, ln expressed as the natural logarithm, alpha 1 Expressed as the coefficient of light emission, alpha, directly in front of the eye of the person to be examined 2 Expressed as the light reflection coefficient, alpha, of the front left as viewed by the eyes of the person to be examined 3 Expressing the light reflection coefficient of the right front observed by the eyes of the person to be detected, expressing theta as an influence factor corresponding to the space decoration style, expressing a as the static vision score value of the person to be detected, and expressing b as the dynamic vision score value of the person to be detected; shading gain
Determining a plurality of adjusting 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;
calculating the effect value of each shading wing plate under each adjusting angle according to the influence of the shading brightness and the environment brightness of each shading wing plate under each adjusting angle on the vision of a person to be detected:
wherein ,P1i Expressed as the effect value, Q, of the shading flap 1 at the ith adjustment schedule i3 Expressed as shading brightness, beta, of the shading wing panel 1 under the ith adjustment schedule 1i Expressed as shading gain factor of shading wing panel 1 under the ith adjusting schedule;
and selecting a target adjusting angle corresponding to the maximum effect value of each shading wing plate to confirm as a rotating angle of the shading wing plates during vision detection.
Preferably, the self-service detection system comprises the following steps:
s1: the identification of the identity is carried out,
identity verification is completed through modes of identity card scanning identification, IC card identification, face identification, weChat code scanning, APP code scanning, manual input and the like;
s2: the preparation for detection is carried out by the method,
under the guidance of voice and an interface of the detection terminal, completing preparation works such as testing positions, shielding eyes, operating tests and the like;
s3: the self-service detection is carried out,
the system prompts user operation according to steps through a display, and completes self-help vision detection through interaction of equipment such as a camera and a microphone with the user;
s4: the analysis of the data storage is carried out,
the system carries out filing, data storage and data analysis through the collected test data. Storing and analyzing data;
s5: as a result of the query,
the user can print the report on site, and can search and print the report through APP \ public number \ applet \ website, and support the automatic sending of the report.
Compared with the prior art, the invention has the beneficial effects that:
1. in the self-service detection process, a student needs to stand on a standard standing board and face the vision self-service detection all-in-one machine, then both hands hold the arm-extending grip structures on the two sides of the vision self-service detection all-in-one machine, when the hands hold the arm-extending grips, the switch sensing window senses human body information and the power supply is started, the vision self-service detection all-in-one machine senses the human body height condition of the current student through the infrared human body sensing probe on the surface, and then the height of the vision self-service detection all-in-one machine is adjusted through the wall-mounted seat rail to adapt to the height of the current student, so that the situation that detection data caused by the height of students with different heights are not accurate enough when the students perform self-service detection is avoided;
2. according to the invention, the dust static on the surface of the lens can be eliminated through the ion fan, the dust is prevented from being adsorbed on the surface of the lens, then the dust is sucked into the sealing partition frame by matching with the cleaning air window assembly at the top of the integrated machine and then is discharged from the window, so that the purpose of cleaning is achieved, and the detection precision is prevented from being influenced by the dust accumulation;
3. in the invention, only one student is needed to perform self-help detection in the vision detection process, man-machine interaction is performed, voice response or gestures are used for commanding the opening direction of the sighting target, the recognition speed is high, the vision detection result can be automatically judged after the detection is finished, data are uploaded and counted in real time and are synchronized to a teacher and a parent of a school, a family and the student, a vision prevention and control system integrating three parties of the school, the family and the student is constructed, the school is taken as a leading party, vision screening is periodically performed, a health electronic file of children and teenagers is established, the vision state change in different periods is dynamically observed, the parent and the student are led to actively learn and master the eye health knowledge and skills, the children are supervised to develop good eye using habits, the recording and analysis of the screening vision data play a great role in the occurrence, development, regression and intervention treatment of the myopia of the children, and the myopia can be accurately and effectively prevented and controlled.
Drawings
FIG. 1 is an overall front view of the present invention;
FIG. 2 is a schematic view of a static structure of the vision self-service detection all-in-one machine of the present invention;
FIG. 3 is a schematic view of a dynamic structure of the vision self-service detection all-in-one machine of the present invention;
FIG. 4 is a schematic view of the main structure of the vision tester of the present invention;
FIG. 5 is a schematic view of a sealing partition frame according to the present invention;
FIG. 6 is a schematic cross-sectional view of a sealing partition frame according to the present invention;
FIG. 7 is a schematic diagram of a frame of the vision self-help detection system of the present invention;
fig. 8 is a flow chart of self-help vision detection according to the present invention.
In the figure: 1. an integrated vision self-service detection machine; 2. a wall-mounted seat rail; 3. standardizing a station board; 4. a vision analysis platform; 5. an APP applet; 101. a card reader; 102. an arm spread handle; 103. opening and closing the induction window; 104. a touch display screen; 105. an infrared human body sensing probe; 106. a vision tester body; 107. cleaning the air window assembly; 108. a speaker unit; 109. a telescopic storage groove; 1061. a dust-proof cover plate; 1062. a light-shielding wing plate; 1063. an ion blower; 1064. a side electric control connecting shaft; 1065. sealing the partition frame; 1066. dust collection air holes; 1067. a wind pipe window; 1068. a main electric control connecting shaft; 1069. a dust removal cavity.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, an embodiment of the present invention is shown: a vision self-service detection system comprises a vision self-service detection all-in-one machine 1, a vision analysis platform 4 and an APP small program 5, wherein a wall-mounted seat rail 2 is arranged on one side of the vision self-service detection all-in-one machine 1, the vision self-service detection all-in-one machine 1 is in sliding connection with the wall-mounted seat rail 2 through a sliding sleeve, a standard station 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-service detection all-in-one machine 1, arm unfolding handles 102 are arranged on two sides of the touch display screen 104, the arm unfolding handles 102 are connected with the vision self-service detection all-in-one machine 1 through screws, switch sensing windows 103 are arranged on the inner sides of the arm unfolding handles 102, a vision detector main body 106 is arranged above the touch display screen 104, cleaning air window assemblies 107 are arranged at two ends of the top of the vision self-service detection all-in-one machine 1, a fan structure is arranged inside the cleaning air window assemblies 107, the vision detector main body 106 is in sliding connection with the vision self-service detection all-in one machine 1 through a telescopic accommodating groove 109, a touch detector 101 is arranged below the touch display screen 104, infrared sensing probe 105 is arranged on the surface around the touch display screen 104, four infrared sensing probes 105, and a loudspeaker unit 108 is arranged between the vision self-service detection all-service detection machine 104;
in the in-process of carrying out self-service detection, the student need stand on standard station board 3, and detect all-in-one 1 towards the vision is self-service, the arm exhibition handle 102 structure of the vision is self-service detection all-in-one 1 both sides is held to both hands afterwards, when arm exhibition handle 102 is held to the hand, human information is sensed to switch response window 103, the starting power supply, the vision detects all-in-one 1 by oneself and comes the human height condition of perception current student through infrared human inductive probe 105 on surface, then adjust the self-service detection all-in-one 1 height of vision through hanging seat rail 2, be used for adapting to current student's height, and then avoid different height students to examine time measuring by oneself, the accurate not enough condition appears in the detected data that leads to because of the height.
Referring to fig. 4-6, a dust-proof shield plate 1061 is disposed on an outer surface of the vision detector main body 106, a seal partition frame 1065 is disposed between the dust-proof shield plate 1061 and the vision detector main body 106, the dust-proof shield plate 1061 is rotatably connected to the seal partition frame 1065 through a main electric control connecting shaft 1068, the seal partition frame 1065 is connected to the vision detector main body 106 through a clamping slot, light-shielding wing plates 1062 are disposed at two ends of an inner side of the dust-proof shield plate 1061, the light-shielding wing plates 1062 are rotatably connected to the dust-proof shield plate 1061 through a side electric control connecting shaft 1064, an ion fan 1063 is disposed at an inner side of the dust-proof shield plate 1061, the ion fan 1063 is connected to the dust-proof shield plate 1061 through a screw, a dust-collecting air hole 1066 is disposed on a surface of the inner side of the seal partition frame 1065, a dust-collecting cavity channel 1069 is disposed in the seal partition frame 1065, an air duct 1067 is disposed above two ends of the seal partition frame 1065, and the air duct 1067 is connected to the clean air duct component 107;
after the height adjustment is finished, the vision detector main body 106 can be extended out of the interior of the all-in-one machine, after the vision detector main body 106 is extended, the dustproof cover plate 1061 on the outer side is turned upwards and unfolded, when the dustproof cover plate 1061 rotates 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 reflection and scattering conditions are 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 resetting, the ion fan 1063 on the inner surface of the dustproof cover plate 1061 is started to operate, the dust static electricity on the surface of the lens can be eliminated through the ion fan 1063, the dust is prevented from being adsorbed on the surface of the lens, then the dust is sucked into the sealed partition frame 1065 by matching with the cleaning air window assembly 107 on the top of the all-in-one machine, and then is discharged from the window, so that the purpose of cleaning is achieved, and the detection precision is prevented from being influenced by the dust accumulation.
Referring to fig. 7-8, the vision analysis platform 4 mainly includes vision condition analysis, vision archives, screening plans and system management, and is used for student information entry and maintenance, screening plan establishment and tracking, statistical analysis of each screening result and risk early warning.
Preferably, the vision analysis platform 4 performs statistical analysis and risk early warning on each screening result by the following methods:
carrying out identification signs on the student information according to names and birth years, months, days and the like to form a data set corresponding to the matching of the student information and the identification signs;
sequencing the historical vision conditions corresponding to each identifier according to the detection time, comparing and analyzing the historical vision values, and calculating the rising or falling percentage of any next group of vision values compared with the previous group of vision values;
when the rising amplitude of any next group of vision numerical values compared with the previous group of vision numerical values exceeds a preset rising 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 identifier with the abnormal mark to remind the student of the requirement of pertinence vision treatment;
and uploading the vision data information and the abnormal marking 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 symbols is formed, the corresponding student information can be quickly searched through the identification symbols, the identification symbols of different students can form a set, and the student information can be correspondingly obtained through the set, so that the management is convenient;
in the embodiment, the vision conditions of any student are sequenced according to the detection 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 latter group of vision numerical values and the former group of vision numerical values, it is determined whether the latter group of vision numerical values is increased or decreased compared with the former group of vision numerical values, so that the change of vision and the magnitude of the change amplitude can be grasped;
the principle and the technical effect of the technical scheme are as follows: through dividing the identification symbol to student information, the management and the search of student information have been made things convenient for, compare around going on through the eyesight condition with the student, acquire the situation of change of eyesight, when the eyesight exists to rise and the range of rise surpasss the predetermined range of rise threshold value, then judge that student's eyesight change exists unusually, carry out unusual label mark, and remind the student that this identification label corresponds to need to treat the eyesight through the mode of alarm, every student's information of detecting at every turn all establishes the eyesight archives through the mode of uploading the high in the clouds, convenient long-term tracking management, also make things convenient for the head of a family or school to carry out real-time supervision to student's eyesight condition.
The vision self-help detection integrated machine 1 further comprises identity verification, item selection, report generation and posture management, and is used for self-help vision detection of students, a screening report is generated immediately after detection is finished, and the APP applet 5 mainly comprises detection feedback, historical records, personal information and data comparison, and is used for parents to check the vision health conditions of children and timely master the vision change conditions of the children;
human-computer interaction and self-service detection are adopted in the vision screening process, and a professional detection doctor is not required to be beside; the opening direction of the sighting target is identified by supporting voice or gesture, the identification speed is about 2S, and a sighting target can be identified; automatically judging the vision examination result after the detection result, uploading and counting the data in real time,
by adopting technologies such as big data, cloud computing, mobile internet and the like, screening data are counted comprehensively and accurately in real time through a multi-dimensional chart, a multi-layer chart and a multi-index chart, so that schools or parents can conveniently monitor and analyze the screening data, the vision health change trend and condition of students can be mastered in real time, a basis is provided for myopia prevention and control work, and early monitoring, early discovery, early warning and early intervention are really achieved.
In one embodiment, the rotation angle of the light shielding flap 1062 during vision test is determined by:
acquiring head placing position parameters of a person to be detected on the vision detector main body 106;
determining the eye position parameters of the person to be detected according to the head placing position parameters, and detecting the linear distance between the two shading wing plates 1062;
determining the respective maximum rotation distance of the two light shielding wing plates 1062 under the condition of not influencing the direct vision of a person to be detected based on the eye position parameter and the linear distance between the two light shielding wing plates 1062;
the adjustable angle range of each of the two shade flaps 1062 is determined according to the maximum rotation distance of each of the two shade flaps 1062;
detecting the environmental brightness in the horizontal direction of the eye position of a person to be detected and the visual content in the visual range of the person to be detected;
respectively determining the light emission coefficient of the front right, the light reflection coefficient of the front left and the light reflection coefficient of the front right observed by the eyes of a person to be detected according to the visual contents;
calculating the influence degree of the ambient brightness on the vision of the person to be detected according to the parameters:
wherein F is the influence degree of the ambient brightness on the vision of the person to be detected, and Q 1 Expressed as ambient brightness, Q 2 Expressed as the human eye bearing limit brightness without affecting normal viewing, ln expressed as the natural logarithm, alpha 1 Expressed as the coefficient of light emission, alpha, directly in front of the eye of the person to be examined 2 Expressed as the light reflection coefficient, alpha, of the front left as viewed by the eyes of the person to be examined 3 The visual acuity evaluation value is expressed as a light reflection coefficient of the right front observed by eyes of a person to be detected, theta is expressed as an influence factor corresponding to a space decoration style, a is expressed as a static visual acuity evaluation value of the person to be detected, and b is expressed as a dynamic visual acuity evaluation value of the person to be detected; shading gain
A plurality of adjustment angles of each of the light shield flaps 1062 are determined according to the adjustable angle range thereof;
the shading brightness of each shading wing plate 1062 at each adjusting angle is acquired;
and calculating an effect value of each shading wing plate at each adjusting angle according to the influence of the shading brightness and the ambient brightness of each shading wing plate 1062 at each adjusting angle on the vision of the person to be detected:
wherein ,P1i Expressed as the effect value, Q, of the shading flap 1 at the ith adjustment schedule i3 Expressed as shading brightness, beta, of the shading wing panel 1 under the ith adjustment schedule 1i Expressed as shading gain factor of the shading wing plate 1 under the ith adjusting schedule;
the target adjustment angle corresponding to the maximum effect value of each shutter flap is selected and confirmed as the rotation angle of the shutter flap 1062 at the time of visual acuity test.
The beneficial effects of the above technical scheme are: the influence degree of eyes of the person to be detected under the ambient brightness can be comprehensively evaluated based on the visual condition of the person to be detected and the light reflection coefficient in the space by calculating the ambient brightness, so that a reference basis is provided for subsequently determining whether to rotate the shading wing plate for shading, the practicability is improved, further, the shading evaluation value of each shading wing plate under each adjusting angle can be visually evaluated 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 person to be detected is ensured, the detection result is more accurate and objective, and the practicability is further improved.
The self-service detection system comprises the following steps:
s1: the identification of the identity is carried out,
identity verification is completed through modes of identity card scanning identification, IC card identification, face identification, weChat code scanning, APP code scanning, manual input and the like;
s2: the preparation for detection is carried out by the method,
under the guidance of voice and an interface of the detection terminal, completing preparation works such as testing positions, shielding eyes, operating tests and the like;
s3: the self-service detection is carried out,
the system prompts user operation according to steps through a display, and completes self-help vision detection through interaction of equipment such as a camera and a microphone with the user;
s4: the data is stored and analyzed in a data storage way,
the system carries out filing, data storage and data analysis through the collected test data. Storing and analyzing data;
s5: as a result of the query,
the user can print the report on site, and can search and print the report through APP \ public number \ applet \ website, and support the automatic sending of the report.
The working principle is that in the process of self-help detection, a student needs to stand on the standard standing board 3, and faces to the vision self-service detection integrated machine 1, then the arms extending handle 102 structures at the two sides of the vision self-service detection integrated machine 1 are held by two hands, when the arm-extending grip 102 is held by hands, the switch sensing window 103 senses human body information, the power supply is started, the vision self-help detection all-in-one machine 1 senses the current human body height condition of the student through the infrared human body sensing probe 105 on the surface, then the height of the vision self-help detection all-in-one machine 1 is adjusted through the wall-mounted seat rail 2 to adapt to the height of the current student, thereby avoiding the condition that the detected data is not accurate enough due to the height when students with different heights perform self-help detection, after the height is adjusted, the vision tester main body 106 can be extended out from the interior of the integrated machine, after the vision tester main body 106 is extended, the dustproof cover plate 1061 on the outer side is turned upwards and unfolded, when the dust-proof shield plate 1061 rotates to the maximum angle, the light-proof wing plate 1062 inside the dust-proof shield plate 1061 is also turned outwards and unfolded, this covers the main lens area of the vision tester body 106, preventing the occurrence of reflections and astigmatism, after the detection is finished, the dust shield plate 1061 and the shield wing plate 1062 are retracted in order, and finally reset together with the vision tester body 106, after resetting, the ion fan 1063 on the inner surface of the dustproof shield plate 1061 is started to operate, and the ion fan 1063 can eliminate the dust static electricity on the surface of the lens to prevent the dust from being adsorbed on the surface of the lens, then cooperates with the cleaning louver assembly 107 at the top of the unit to draw dust into the sealed divider frame 1065, and then the dust is discharged from the window, so that the purpose of cleaning is achieved, and the influence on the detection precision due to dust accumulation is avoided.
It should be noted that, in this document, 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. Also, 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 appreciated by those skilled in the art that various changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. The utility model provides a self-service detecting system of eyesight, includes self-service all-in-one (1), visual analysis platform (4) and APP applet (5), its characterized in that of detecting of eyesight: a wall-mounted seat rail (2) is arranged on one side of the self-help vision detection all-in-one machine (1), the self-help vision detection all-in-one 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 self-help vision detection all-in-one machine (1), arm unfolding handles (102) are arranged on two sides of the touch display screen (104), the arm unfolding handles (102) are connected with the self-help vision detection all-in-one machine (1) through screws, a switch sensing window (103) is arranged on the inner side of each arm unfolding handle (102), a vision detector main body (106) is arranged above each touch display screen (104), cleaning air window assemblies (107) are arranged at two ends of the top of the self-help vision detection all-in-one machine (1), and a fan structure is arranged inside each cleaning air window assembly (107);
the vision detector main body (106) is connected with the vision self-service detection all-in-one machine (1) in a sliding mode through a telescopic accommodating groove (109), and a card reader (101) is arranged below the touch display screen (104);
the surface around the touch display screen (104) is provided with four infrared human body induction probes (105), and a loudspeaker unit (108) is arranged between the vision detector main body (106) and the touch display screen (104);
the outer surface of vision detector main part (106) is provided with dustproof cover plate (1061), is provided with between dustproof cover plate (1061) and vision detector main part (106) and seals off frame (1065), dustproof cover plate (1061) is connected with sealed off frame (1065) rotation through main electric control even axle (1068), seals off frame (1065) and is connected through the draw-in groove with vision detector main part (106).
2. A vision self-service detection system according to claim 1, characterized in that: 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 rotatably 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.
3. The vision self-service detection system according to claim 2, characterized in that: the dust collection device is characterized in that a dust collection air hole (1066) is formed in the surface of the inner side of the sealing partition frame (1065), a dust removal cavity channel (1069) is formed in the sealing partition frame (1065), air pipe windows (1067) are formed above 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.
4. A vision self-service detection system according to claim 3, characterized in that: the vision analysis platform (4) comprises vision condition analysis, vision archives, a screening plan and system management and is used for student information entry and maintenance, screening plan establishment and tracking, statistical analysis of screening results and risk early warning.
5. The vision self-service detection system according to claim 4, characterized in that: the vision analysis platform (4) performs statistical analysis and risk early warning on each screening result by the following method:
carrying out identification signs on the student information according to names and birth years, months, days and the like to form a data set corresponding to the matching of the student information and the identification signs;
sequencing the historical vision conditions corresponding to each identifier according to the detection time, comparing and analyzing the historical vision values, and calculating the rising or falling percentage of any next group of vision values compared with the previous group of vision values;
when the rising amplitude of any next group of vision numerical values compared with the previous group of vision numerical values exceeds a preset rising 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 identifier with the abnormal mark to remind the student of the requirement of treating vision pertinently;
and uploading the vision data information and the abnormal marking condition corresponding to each student to a cloud for storage, and forming a corresponding vision file.
6. A self-help vision detection system according to claim 5, characterized in that: the vision self-service detection integrated machine (1) further comprises identity verification, item selection, report generation and posture management, and is used for self-service vision detection of students, and a screening report is generated immediately after the detection is finished;
APP applet (5) including detect feedback, historical record, personal information and data comparison for the head of a family looks over child's eyesight health condition, timely masters child's eyesight change condition.
7. A self-help vision detection system according to claim 6, characterized in that: the rotation angle of the shading wing plate (1062) in vision detection is determined by the following method:
acquiring head placing position parameters of a person to be detected on a vision detector main body (106);
determining the eye position parameters of the person to be detected according to the head placing position parameters, and detecting the linear distance between the two shading wing plates (1062);
determining the respective maximum rotation distance of the two light shielding wing plates (1062) under the condition of not influencing the direct vision of a person to be detected based on the eye position parameter and the linear distance between the two light shielding wing plates (1062);
determining an adjustable angle range of each of the two shade wings (1062) according to the respective maximum rotation distances of the two shade wings (1062);
detecting the ambient brightness in the horizontal direction of the eye position of a person to be detected and the visual content in the visual range of the person to be detected;
respectively determining the light emission coefficient of the front right, the light reflection coefficient of the front left and the light reflection coefficient of the front right observed by the eyes of a person to be detected according to the visual contents;
calculating the influence degree of the ambient brightness on the vision of the person to be detected according to the parameters:
wherein F represents the influence degree of the ambient brightness on the vision of the person to be detected, Q 1 Expressed as ambient brightness, Q 2 Expressed as the human eye bearing limit brightness without affecting normal viewing, ln expressed as the natural logarithm, alpha 1 Expressed as the coefficient of light emission, alpha, directly in front of the eye of the person to be examined 2 Expressed as the light reflection coefficient, alpha, of the front left observed by the eye of the person to be examined 3 Expressing the light reflection coefficient of the right front observed by the eyes of the person to be detected, expressing theta as an influence factor corresponding to the space decoration style, expressing a as the static vision score value of the person to be detected, and expressing b as the dynamic vision score value of the person to be detected; shading gain
Determining a plurality of adjustment angles of each shading wing plate (1062) according to the adjustable angle range of the shading wing plate;
acquiring shading brightness of each shading wing plate (1062) at each adjusting angle;
and calculating the effect value of each shading wing plate at each adjusting angle according to the influence of the shading brightness and the ambient brightness of each shading wing plate (1062) at each adjusting angle on the vision of the person to be detected:
wherein ,P1i Expressed as the value of the effect of the shading flap 1 at the ith adjustment schedule, Q i3 Expressed as shading brightness, beta, of the shading wing panel 1 under the ith adjustment schedule 1i Expressed as shading gain factor of shading wing panel 1 under the ith adjusting schedule;
and selecting a target adjusting angle corresponding to the maximum effect value of each shading wing plate to confirm the target adjusting angle as a rotating angle of the shading wing plate (1062) during vision detection.
8. A vision self-service detection system according to claim 7, characterized in that: the self-service detection system comprises the following steps:
s1: the identification of the identity is carried out,
identity verification is completed through modes of identity card scanning identification, IC card identification, face identification, weChat code scanning, APP code scanning, manual input and the like;
s2: the preparation for detection is carried out by the method,
under the guidance of voice and an interface of the detection terminal, completing preparation works such as testing positions, shielding eyes, operating tests and the like;
s3: the self-service detection is carried out,
the system prompts the user to operate according to steps through a display, and completes self-help vision detection through interaction of equipment such as a camera and a microphone with the user;
s4: the data is stored and analyzed in a data storage way,
the system carries out filing, data storage, data analysis, storage and data analysis through the collected test data;
s5: as a result of the query,
the user prints the report on site, and the report is automatically sent by inquiring and printing the report through the APP, the public number, the applet and the website.
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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 |
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