CN114360699A - Myopia training management system based on big data - Google Patents

Abstract

The invention belongs to the technical field of myopia management, and particularly relates to a myopia training management system based on big data, which comprises a screening module, a data module, a training module and a management module; the technical problem of insufficient management of comprehensive prevention and control conditions of myopia symptoms is caused by the lack of statistics of the implementation process of a myopia training scheme after data statistics of myopia degrees are carried out; therefore, the myopia training system performs data tracking of myopia degrees on individuals executing the myopia training scheme through the arranged management module, informs the content of the myopia training scheme to family members and school members of the individuals (children and teenagers) through medical staff, plays a role in supervision, avoids the problem that the individuals are difficult to correct bad eye using habits by themselves, is matched with the data interconnected modules in the myopia training management system, achieves dynamic monitoring of the execution situation of the myopia training scheme, and ensures guidance of eye using behaviors of the children and the teenagers in daily life.

Description

Myopia training management system based on big data

Technical Field

The invention belongs to the technical field of myopia management, and particularly relates to a myopia training management system based on big data.

Background

In recent years, the proportion of myopia suffered by children and teenagers in China is rising year by year, and the trend of low age and severe myopia is obvious;

the eye organs of children and teenagers are in the key period of development, the poor eye using habit can cause the generation of myopia at this stage, after the occurrence of myopia symptoms, the eye using habit is not emphasized by self and environments of families and schools, the deepening of myopia degrees is difficult to control, myopia training management is performed, and the deepening of the myopia degrees can be restrained by effectively managing eye using hygiene and training individuals to keep good eye using habit; the factors that influence near-sighted number of degrees simultaneously are numerous, including near-sighted number of degrees, interpupillary distance, the visual variation that increases formation along with age, the optical parameter of lens is the lens parameter, daily life's the condition of using the eye, outdoor exercises time, optometry inspection level, factors such as medicine in service behavior carry out effective processing to each item data to provide corresponding near-sighted training management scheme, prevent controlling the aggravation of near-sighted symptom.

In view of this, in order to solve the problem of managing the myopia training scheme in the comprehensive prevention and control, the invention provides a myopia training management system based on big data.

Disclosure of Invention

In order to solve the defects of the prior art, the invention provides a myopia training management system based on big data; the problems are solved: the technical problem of insufficient management of comprehensive prevention and control conditions of myopia symptoms caused by lack of statistics on the implementation process of a myopia training scheme after data statistics of myopia degrees is carried out;

in order to achieve the above purpose, the invention is realized by the following technical scheme:

the invention relates to a myopia training management system based on big data, which comprises:

the screening module records the myopia degree of an individual through optometry and inspects the myopia degree once every half year in a fixed period;

the data module is used for processing the data of the myopia degrees recorded by the screening module and marking according to the variation of the myopia degrees of the individuals, and the marking method comprises the following steps: in the myopia degree examination of once every half year in a fixed period, when the variation of the myopia degree is less than 50 degrees, marking the corresponding individual as A class; when the variation of the myopia degrees is 50-100 degrees, marking the corresponding individual as a B class; when the variation of the myopic degree is more than 100 degrees; marking the corresponding individual as class C;

training module, training module set for has different near-sighted training scheme, slows down with eye pressure through near-sighted training scheme, restraines the rise of near-sighted degree, includes: the method comprises the following steps of firstly, popularizing eye knowledge for health; controlling the duration of continuous eye use in a single close range to be less than 45 minutes; the third scheme requires that the total length of outdoor exercises every day is more than 2 hours;

the management module, management module are arranged in tracking the change condition of individual myopia number of degrees in the data module to according to the mark classification of data module to individual myopia number of degrees correspondence, increase the project of the myopia training scheme of execution in proper order from A class to C class, wherein carry out the myopia training scheme and include: for class A individuals, at least a scheme one is executed, for class B individuals, at least a scheme one and a scheme two are executed, and for class C individuals, a scheme one, a scheme two and a scheme three are executed; the management module propagates the near vision training scheme to family members and school members so as to supervise when the near vision training scheme is executed;

the screening module, the data module, the training module and the management module are in data interconnection.

Preferably, the management module is interconnected with the intelligent terminal device, the executive condition of the myopia training scheme is recorded by the family members and the school members in a mode of manually inputting data, and the ambient illuminance is recorded by the intelligent terminal device with the ambient light sensor when outdoor exercises are performed.

Preferably, the screening module further counts vision correction modes, wherein the types of the worn glasses are divided into frame glasses and shaping glasses, and the data of the counted myopia degrees are grouped according to the types of the worn glasses.

Preferably, the screening module also records the starting degree and age of the individual at the time of the optometric examination, wherein the statistical age range of the optometric examination is selected from the age range of 8 to 18 years and the starting degree is grouped at intervals of 100 degrees.

Preferably, the screening module marks the vision condition of an individual with far vision power at the time of optometry.

Preferably, the screening module marks the pupil distance parameter counted in the optometry examination.

Preferably, the screening module also counts optical parameters of the worn frame glasses, including peripheral defocus, glasses displacement and optical center distance.

Preferably, the data module further comprises an analysis unit, the analysis unit is configured to perform integrity processing on the refractive data counted by the screening module, and supplement the myopia degrees in the refractive data by using the sequence linear interpolation to obtain complete refractive data of the individual in recent years, where the complete refractive data is defined as data of the myopia degrees counted in a set time period by using the sequence linear interpolation, such as the myopia degrees counted by the data module in a six-month period, and the myopia degrees actually counted in a year period, that is, a myopia degree is inserted between the annual myopia degrees by using the sequence linear interpolation, so that the myopia degrees meet the requirement of the data of the myopia degrees counted in six months.

Preferably, the reference quantity of the sequence linear interpolation further comprises statistical myopia degree increment, implementation condition and age condition of the myopia training scheme.

Preferably, the data module further comprises a prediction unit, the prediction unit calculates a variation curve and a functional relation of the myopia degrees through a fitting tool according to the myopia degrees of the refraction data complemented by the analysis unit, and then determines a variation trend of the myopia degrees through the functional relation, so as to predict the variation relation of the different refraction data and the eye degrees of the children of the age group.

The invention has the following beneficial effects:

1. according to the myopia training management system based on the big data, the data tracking of the myopia degrees is carried out on the individual executing the myopia training scheme through the arranged management module, the content of the myopia training scheme is informed to family members and school members of the individual (children and teenagers) through medical staff, so that the monitoring effect is achieved, the problem that the individual is difficult to self-correct the bad eye using habit is avoided, the execution condition of the myopia training scheme is dynamically monitored by matching with the modules of data interconnection in the myopia training management system, and the guidance of the eye using behaviors of the children and the teenagers in daily life is ensured.

2. After each optometry examination, the myopia training management system based on the big data compares the refractive data of the eyes, such as the change of the pupil distance displacement, with the optical parameters of a refractive correction lens, namely frame glasses, and replaces the situation that a single-focus lens is worn to generate far-vision defocusing with a full-focus lens; for the change of the displacement of the glasses and the optical center distance of the lenses, the glasses are adjusted to be worn like Medcall medical child spectacle frames, the displacement of the spectacle frames is reduced, the change of the optical center distance of the lenses is reduced, and the condition of aggravating myopia is slowed down.

3. According to the myopia training management system based on the big data, the change curve and the function relation of the statistical myopia degree data are obtained by means of Matlab, SPSS, Origin and other fitting tools through the arranged prediction unit, the optimal function relation is selected to determine the change trend of the degree, the change relation of the children's eye degrees according to different initial degrees and ages can be predicted, the attention of mild myopia patients to healthy eyes is increased, for patients with high myopia degrees, such as patients with refractive correction lenses, the trend of the myopia degrees is predicted to be stable by combining the execution condition of the myopia training scheme, positive feedback is provided for the patients executing the myopia training scheme, good eye using habits are kept, and the deepening of the myopia degrees is slowed down.

Drawings

The invention will be further explained with reference to the drawings.

Fig. 1 is an architecture diagram of the myopia training management system of the present invention.

Detailed Description

In order to make the objects, technical means and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are a part of the embodiments of the present invention, but 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.

The embodiment of the invention provides a myopia training management system based on big data, and solves the technical problem that the comprehensive prevention and control condition management of myopia symptoms is insufficient due to the lack of statistics on the myopia training scheme execution process after the data statistics of myopia degrees is carried out in the prior art;

in order to solve the technical problems, the technical scheme in the embodiment of the invention has the following general idea: after the individual myopia symptoms are inspected by optometry, a corresponding myopia training scheme is formulated, family members and school members supervise the execution situation of the myopia training scheme mutually through a management module, and compared with the existing myopia data of the optometry statistics individual and issued healthy eye use behavior specifications, the myopia training scheme has the advantages that other people supervise and remind to correct the bad eye use situation of myopic children and teenagers, and the problem that bad eye use habits are difficult to correct is solved;

for better understanding of the above technical solutions, the following detailed descriptions will be provided in conjunction with the drawings and the detailed description of the embodiments.

As shown in fig. 1, the myopia training management system based on big data according to the present invention includes:

the screening module is used for checking and recording the individual myopia degrees through the optometry instrument, transmitting the checking data of the optometry instrument to an application program in an operating system of intelligent terminal equipment such as a computer or a smart phone and checking the myopia degrees once every half year in a fixed period;

the data module is used for processing the data of the myopia degrees recorded by the screening module and marking according to the variation of the myopia degrees of the individuals, and the marking method comprises the following steps: in the myopia degree examination of once every half year in a fixed period, when the variation of the myopia degree is less than 50 degrees, marking the corresponding individual as A class; when the variation of the myopia degrees is 50-100 degrees, marking the corresponding individual as a B class; when the variation of the myopic degree is more than 100 degrees; marking the corresponding individual as class C;

training module, the myopia training scheme of having the difference set for in the training module slows down with eye pressure through the myopia training scheme, restraines the rise of myopia number of degrees, includes: the method comprises the following steps of firstly, popularizing eye knowledge for health; controlling the duration of continuous eye use in a single close range to be less than 45 minutes; the third scheme requires that the total length of outdoor exercises every day is more than 2 hours;

management module, management module are arranged in tracking the change condition of individual myopia number of degrees in the data module to reflecting the effect that the training module alleviates the visual degradation, and according to the mark classification of data module to the individual myopia number of degrees correspondence, increase the project of the myopia training scheme of execution in proper order from A class to C class, wherein carry out the myopia training scheme and include: for class A individuals, at least a scheme one is executed, for class B individuals, at least a scheme one and a scheme two are executed, and for class C individuals, a scheme one, a scheme two and a scheme three are executed; the management module informs propaganda to family members and school members through printing the near vision training scheme on an optometry sheet prescribed by medical staff or through telephone, short message and other modes so as to supervise when the near vision training scheme is executed;

the screening module, the data module, the training module and the management module are interconnected through network data of running intelligent terminal equipment, for example, application programs in operating systems of equipment such as computers or smart phones are used as carriers for executing running of the modules, and data interconnection is carried out through a network;

in the embodiment, the optometrist of the ophthalmic medical institution organizes the optometrist to collect the vision of the individual, record the refraction data of the individual, check the myopia degrees in a fixed period such as half a year once to form the data of the myopia degrees of the individual increased along with the age, analyze the myopia degrees of the individual through a set algorithm through an application program in an equipment operating system such as a computer or a smart phone in a data module, compare the difference values of the myopia degrees checked in adjacent time, select different myopia training schemes in a training module according to the change of the myopia degrees, and if the change of the myopia degrees is less than 50 degrees in statistical time of one year, the knowledge of health eye use is informed, the scientific cognition of myopia is popularized, good eye use habits are kept, the stability of the myopia is maintained, and when the change of the myopia degrees is within 50-100 degrees or above 100 degrees, controlling the single short-distance eye using time length in the myopia training scheme to be less than 45 minutes so as to relieve the eye muscle pressure in the myopia state and maintain the adjusting capacity of the eye muscle to crystalline lens; meanwhile, the outdoor exercise duration of more than 2 hours per day is ensured, the eye muscle adjusting spasm and fatigue can be relieved in an environment with an open visual field, the eyeballs can receive more natural light and proper ultraviolet irradiation, and the imaging can be clearer when the outdoor pupils become smaller, so that the development of myopia is slowed down;

in the embodiment, the set management module is utilized, so that the application program in the equipment operating system such as a computer or a smart phone corresponding to the management module counts the data of the myopia degrees detected by the optometry instrument of the screening module at each time, the purpose of tracking the data of the myopia degrees of the individual executing the myopia training scheme is achieved, the content of the myopia training scheme is informed to family members and school members of the individual (children and teenagers) through medical staff, the supervision effect is achieved, the problem that the individual is difficult to correct the bad eye using habit by self is avoided, the execution condition of the myopia training scheme is dynamically monitored by matching with the modules of data interconnection in the myopia training management system, and the guidance of the eye using behaviors of the children and the teenagers in daily life is ensured.

As an embodiment of the present invention, the devices such as the computer or the smart phone in the management module and the devices such as the computers of the family members and the school members or the smart phones are interconnected through network data, the family members and the school members record the execution condition of the myopia training scheme by manually inputting data to the application program in the operating system of the devices such as the computers or the smart phones, and when performing outdoor exercises, the environment illumination is recorded through the intelligent terminal device with an environment light sensor, such as the smart phone with an automatic screen brightness adjustment function; through the intelligent terminal device which is interconnected with the management module data, through programs such as APP and the like which are installed on the intelligent terminal device, family members and school members input and count the execution condition of the myopia training scheme, so that the comparison and analysis with the change condition of the myopia degree can be conveniently carried out during the optometry examination in a fixed period; meanwhile, the intelligent terminal equipment with the ambient light sensor is utilized, for example, the intelligent mobile phone with the screen brightness automatically adjusted is used for reflecting the duration of outdoor sports under the irradiation of sunlight, pupils can contract under the irradiation environment of the sunlight, the cohesion of the pupils is enhanced, and people cannot be in a close-range eye using state and are in a overlooking state and a moving state at a distant place more times when the sunlight is strong, so that the intelligent terminal equipment is beneficial to myopia prevention and control.

As an embodiment of the present invention, when the optometry instrument in the screening module checks and records the myopia degree of an individual, the vision correction mode of the myope is counted by medical staff, including that the type of glasses worn is divided into frame glasses and shaping glasses, and the counted data of the myopia degree is grouped according to the type of glasses worn; after the myopia symptom appears, in order to prevent the increase of the myopia degree, two vision correction modes of the existing wearing frame glasses and the existing shaping glasses adopt different principles respectively to reset light rays entering eyeballs onto retinas for imaging so as to overcome the vision problem caused by myopia; through once carrying out optometry inspection myopia number of degrees at fixed cycle like half a year, count respectively the children who wears frame glasses and moulding mirror and teenagers' myopia number of degrees according to the eyesight correction mode, distinguish the control effect that two kinds of myopia correction modes increase the myopia number of degrees, promote the accuracy of changing the influence factor statistics to myopia number of degrees on the one hand, on the other hand embodies the difference effect of two kinds of eyesight correction modes.

As an embodiment of the present invention, the screening module further records the starting degree and age of the individual at the time of the optometry, wherein the statistical age range of the optometry is selected from the age range of 8 to 18 years, and the starting degree is divided into groups at intervals of 100 degrees; the normal length of the eye axis of an adult is about 24mm, corresponding to the myopia degree of 0 degree, the myopia degree is increased by about 300 degrees every 1mm, an immature child is still in a growth and development stage, the eye axis is only grown to 24mm at the age of 12-14 years, the eye axis length is not grown to 24mm before, therefore, the eye axis has the hyperopia degree and is called hyperopia reserve, therefore, initial degree and age data are counted during optometry, when the data module predicts the development condition of the myopia degree, the myopia degree increased due to the growth and development of the eye axis is additionally calculated, and the accuracy of the data module for predicting the myopia degree is improved.

As one embodiment of the invention, the screening module marks the vision condition of an individual with far vision power during the optometry examination; the normal length of the eye axis of an adult is about 24mm, the normal length of the eye axis of the adult is increased by about 300 degrees every 1mm, while an immature child is still in a growth and development stage, the eye axis is increased to 24mm at the age of 12-14, the length of the eye axis is not grown to 24mm before, so that the eye axis has far vision degrees and is called far vision reserve, therefore, the more far vision reserve, the less possibility of myopia is generated, and the accuracy of myopia prediction is increased by detecting the change of the original degree along with the age, and combining factors such as the implementation condition of a myopia training scheme and the class of glasses worn by a vision correction mode.

As an embodiment of the present invention, the screening module marks the pupil distance parameter counted in the optometry; with the growth and development of children, the interpupillary distance is constantly changed, while the focus in the current myopia prevention and control work is the degree, and the interpupillary distance is one of the key factors which are ignored; along with the growth and development of children, the change of the interpupillary distance causes the shift of the optical center, thereby causing the undesirable prism effect in the horizontal direction, which is one of the key factors neglected at present; the pupil distance change is recorded, and the parameters of the lens are correspondingly adjusted for the patient wearing the refractive correction lens, so that the effective vision correction effect of the lens is kept.

As an embodiment of the present invention, the screening module further performs statistics on optical parameters of the worn frame glasses, including peripheral defocus, glasses displacement and optical center distance;

after the occurrence of myopia symptoms, the optical parameters of the wearing of the refractive correction lens are fixed, and especially for the immature children in the process of growth and development, the refractive data of the eyes of the children are changed, so that the adaptability of the lens to the eyes is insufficient, and for the monofocal lens, the correction is the problem of ray projection in the macular region, because of the radian of the eyeball, the peripheral part of the retina forms myopic defocus and hyperopic defocus, wherein the hyperopic defocus can be one of important factors for the development of myopia; hyperopic defocus may induce elongation of the axis of the eye, resulting in axial myopia; when the glasses are worn for a long time, the glasses can be displaced in the horizontal and vertical directions, and the displacement can cause the separation of the optical centers of the lenses and the pupils of the glasses, so that the prism effect in the vertical direction is generated, and the myopia is aggravated; the optical center of the lens and the pupil should coincide horizontally and vertically; therefore, after the primary optometry examination, the myope wearing the monofocal lens is replaced by the full-focus lens; after follow-up optometry is examined, refractive data such as interpupillary distance displacement variation of eyes is compared with optical parameters of refractive correction lenses, namely frame glasses, and the variation of the displacement of the glasses and the optical center distance of the lenses is adjusted to be worn such as Medcall medical child spectacle frames, so that the displacement of spectacle frames is reduced, the variation of the optical center distance of the lenses is reduced, and the condition of aggravating myopia is relieved.

As an embodiment of the present invention, the data module further comprises an analysis unit, the analysis unit is configured to perform integrity processing on the refractive data counted by the screening module, and obtain complete refractive data of the individual in recent years by supplementing the myopia degrees in the refractive data with a sequence of linear interpolation, wherein the complete refractive data is defined as data for supplementing the myopia degrees counted in a set time period by the sequence of linear interpolation, numerical estimation is performed according to two data points adjacent to the point needing interpolation in the one-dimensional data sequence in the left and right, and specific gravity is assigned according to the distance from the interpolation point to the two points, such as the myopia degrees counted by the data module in six month period, and the myopia degrees of the actual statistics are interpolated between the annual myopia degrees by the sequence of linear interpolation, the myopia degree of the first time point for performing the optometry is 200 degrees, the myopia degree of the second time point for performing the optometry is 300 degrees, 250 degrees are inserted between the first time point and the second time point, and the data of the myopia degrees meet the data of counting the myopia degrees in a period of six months;

the success of myopia training management needs to be verified by relying on big data, and the change data of myopia degrees in the same time period is inconvenient to compare and analyze if the data amount is different, and the data with shorter time period can increase the monitoring precision of the change of the myopia degrees; therefore, by adopting a sequential linear interpolation mode, the inserted myopia degree data is complemented with the individual myopia degree data, the condition that the actually counted myopia degree data is insufficient is made up, and the complete myopia degree data after completing can be convenient for the follow-up fitting calculation of the change trend of the myopia degree.

As an embodiment of the invention, the reference quantity of the sequence linear interpolation also comprises statistical myopia degree increment, execution condition and age condition of a myopia training scheme, wherein the myopia degree increment refers to the change condition of historical myopia degrees and reflects the attention degree of an individual to control the own myopia degree, the execution condition of the myopia training scheme collects the eye use condition in daily life such as near-distance continuous eye use time and outdoor exercise duration by carrying out scientific myopia prevention and control knowledge teaching and scoring, and the age condition is used for considering the eye axis lengthening condition caused by growth and development, comprehensively considering and enhancing the accuracy of the sequence linear interpolation supplement data.

As an embodiment of the invention, the data module further comprises a prediction unit, the prediction unit calculates a variation curve and a functional relation of the myopic degrees through a fitting tool according to the myopic degrees of the refractive data complemented by the analysis unit, and then determines a variation trend of the myopic degrees through the functional relation, so as to predict the variation relation of the myopic degrees of children with different refractive data and ages;

in the myopia prevention and control management process, mild myopia symptoms, such as myopia degrees within 100 degrees, do not have obvious influence on daily life, so that the individual cannot pay attention to the self healthy eye using behavior, the myopia degrees are deepened, the daily life is obviously influenced, and further the refractive correction lens needs to be worn; through the prediction unit who sets up, obtain the change curve and the functional relation formula of the data of the near-sighted number of degrees of statistics with the help of fitting instruments such as Matlab, SPSS, Origin, select the change trend of the optimal functional relation formula definite number of degrees, and then can predict according to different initial number of degrees and age, the change relation of children's eye number of degrees, increase the attention of mild myopia patient to healthy eye, it is higher to the near-sighted number of degrees, if the patient who has worn the refraction correction lens, combine its execution situation to the near-sighted training scheme, in the time of follow-up many optometry examinations that carries on, it is stable to tend to through observing the near-sighted number of degrees of prediction, provide positive feedback for the patient that carries out the near-sighted training scheme, keep good habit of using the eye, slow down the deepening of near-sighted number of degrees.

The specific working process is as follows:

the eyesight of an individual is collected by an organization optometrist of an ophthalmic medical institution, the refractive data of the individual is recorded, the myopia degrees are checked once in a fixed period such as half a year to form data of the myopia degrees of the individual increasing along with the age, the myopia degrees of the individual are analyzed in a data module, the difference values of the myopia degrees checked in adjacent time are compared, different myopia training schemes in a training module are selected according to the change of the myopia degrees, if the change of the myopia degrees is less than 50 degrees in statistical time of one year, the cognition of myopia science is popularized by informing healthy eye using knowledge, good eye using habits are kept, the stability of the myopia degrees is maintained, when the change of the myopia degrees is within 50-100 degrees or above 100 degrees, the short-distance eye using time length of a single time in the myopia training scheme is controlled to be less than 45 minutes, so as to relieve the pressure of eye muscles in a myopia state and maintain the adjusting capacity of the eye muscles to crystalline lenses; meanwhile, the outdoor exercise duration of more than 2 hours per day is ensured, the eye muscle adjusting spasm and fatigue can be relieved in an environment with an open visual field, the eyeballs can receive more natural light and proper ultraviolet irradiation, and the imaging can be clearer when the outdoor pupils become smaller, so that the development of myopia is slowed down; the management module is arranged to track the data of the myopia degrees of individuals executing the myopia training scheme, inform the content of the myopia training scheme to family members and school members of the individuals (children and teenagers) through medical staff, play a role in supervision, avoid the problem that the individuals are difficult to self-correct bad eye using habits, realize dynamic monitoring of the execution situation of the myopia training scheme by matching with each module of data interconnection in the myopia training management system, ensure a prediction unit which guides and sets the eye using behaviors of the children and the teenagers in daily life, obtain the change curve and the function relation of the data of the statistic myopia degrees by means of fitting tools such as Matlab, SPSS, Origin and the like, select the optimal function relation to determine the change trend of the degrees, further predict the change relation of the eye degrees of the children according to different starting degrees and ages, and increase the attention of mild myopia patients to healthy eyes, for the patients with higher myopia degrees, such as the patients who wear the refractive correction lenses, the myopia degrees are predicted to tend to be stable by combining the execution conditions of the myopia training scheme, so that the patients who execute the myopia training scheme provide positive feedback, good eye using habits are kept, and the deepening of the myopia degrees is slowed down.

The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.

Claims (10)

1. A big data based myopia training management system, comprising:

the screening module records the myopia degree of an individual through optometry and inspects the myopia degree once every half year in a fixed period;

the data module is used for processing the data of the myopia degrees recorded by the screening module and marking according to the variation of the myopia degrees of the individuals;

the training module is provided with different myopia training schemes, and the myopia training schemes are used for relieving the eye pressure and inhibiting the increase of the myopia degrees;

the management module is used for tracking the change condition of the individual myopia degrees in the data module, classifying marks of the individual corresponding to the myopia degrees according to the data module, sequentially increasing the items of the executed myopia training schemes from the class A to the class C, and propagating the myopia training schemes to family members and school members so as to supervise when the myopia training schemes are executed;

and the screening module, the data module, the training module and the management module are interconnected through a network of running intelligent terminal equipment.

2. The big-data-based myopia training management system according to claim 1, wherein the management module is in data interconnection with the intelligent terminal device, family members and school members record the execution situation of the myopia training scheme through a manual data entry mode, and when outdoor exercises are performed, the intelligent terminal device with the ambient light sensor records the ambient light illumination.

3. A big data based myopia training management system according to claim 1, wherein the screening module further counts vision correction modes, including glasses type including frame glasses and shaping glasses, and groups the counted data of myopia degrees according to the glasses type.

4. A big data based myopia training management system according to claim 3 wherein the screening module also records the starting number of degrees and age of the individual at the time of the optometric examination.

5. A big data based myopia training management system according to claim 4 wherein the screening module marks the vision of individuals with far vision power at the time of the optometry.

6. A big data based myopia training management system according to claim 5 wherein the screening module marks the interpupillary distance parameters of the statistics in the optometry exam.

7. A big data based myopia training management system according to claim 6 wherein the screening module also makes statistics of optical parameters of the frame glasses worn, including peripheral defocus, glasses displacement and optical center distance.

8. A big data based myopia training management system according to claim 1, wherein the data module further comprises an analysis unit for performing integrity processing on the refractive data counted by the screening module to obtain the complete refractive data of the individual in the last few years by supplementing the myopic degree in the refractive data with the sequential linear interpolation, wherein the complete refractive data is defined as the data for supplementing the myopic degree counted in the set time period by the sequential linear interpolation.

9. A big data based myopia training management system according to claim 8 wherein the references to the series of linear interpolations further include statistical myopia power increments, performance of myopia training protocols and age.

10. A big data based myopia training management system according to claim 9, wherein the data module further comprises a prediction unit, the prediction unit calculates the variation curve of the myopia degree and the functional relation by the fitting tool according to the myopia degree of the refraction data complemented by the analysis unit, and then determines the variation trend of the myopia degree by the functional relation, so as to predict the variation relation of the different refraction data and the eye degree of the children of the age.

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