Myopia precursor early warning system and method based on behavior and physiological quantity

Abstract

The invention discloses a myopia precursor early warning system and method based on behaviors and physiological quantities. The method comprises the steps that the reading sight distance d0, the average squinting duration t0 per hour, the standard vision B0, the distinguishable minimum gray scale L0, refraction phi 0 and the eye axis length AL0 of a user in preset time are collected, and a refraction risk safety threshold value # imgabs0 #, an eye axis risk safety threshold value # imgabs1 # and a risk safety threshold sight distance # imgabs2 # are set according to the parameters; collecting the average reading sight distance d and the average squinting duration t per hour of the user within the preset time, and substituting into the following formula; if at least one of P (d) and P (t) is greater than 0.5, entering the next step; collecting the standard vision B of the user and the minimum gray scale L which can be distinguished by the user, and substituting the standard vision B and the minimum gray scale L into the following formula; if at least one of P (B) and P (L) is greater than 0.5, the user has a myopia risk. According to the method, the behavior parameters and the physiological parameters which are stable, simple and easy to measure and can reflect the human eye myopia trend are selected, and the expression of the myopia onset risk is established according to the parameters. According to the expression, a corresponding relation can be established among the behaviors, the physiological parameters and the myopia onset risk.

Description

Technical Field

[0001] The present invention relates to the technical field of myopia precursor warning, and in particular to a myopia precursor warning system and method based on behavior and physiological quantities. Background Art

[0002] Myopia is one of the main factors that endanger human visual health. People with myopia have a higher risk of blinding diseases such as cataracts, glaucoma, retinal detachment, and macular degeneration than the general population. Myopia has become one of the most common eye diseases in the world. The myopia rate among adults in most countries is 10-30%, while the myopia rate among young people in parts of East Asia and Southeast Asia is as high as 80-90%. Solving the myopia problem is urgent. From the perspective of refraction, the image point received by myopic patients is in front of the retina, so myopia is a refractive error.

[0003] Although myopia is very harmful to visual health and has a high incidence rate among the population, people still do not have a good way to effectively prevent and control myopia. One of the difficulties in preventing and controlling myopia is that it is difficult for people to detect the trend of myopia in time before it occurs, and thus it is impossible to prevent it. Therefore, myopia has already developed once it is discovered. If you want to prevent myopia in time before it occurs, you need to first clarify what characteristics myopia will show before it occurs.

[0004] Researchers have conducted a lot of research on the characteristics that occur before myopia develops. Such research mainly focuses on the manifestations of transient myopia, such as a temporary increase in corneal refraction. However, transient myopia can disappear after proper rest, so it does not directly lead to the onset of myopia. Therefore, it is necessary to explore the characteristics that occur before myopia develops, and on this basis, develop a calculation method to evaluate the risk of myopia. Summary of the invention

[0005] In view of this, the purpose of the present invention is to propose a myopia precursor warning system and method based on behavior and physiological quantities. The present invention can be applied to any field related to education, ophthalmology, public health, etc., to provide guidance for the prevention and control of myopia.

[0006] According to one aspect of the present invention, a myopia precursor warning system based on behavior and physiological quantities is provided, comprising: Collect the user's average reading distance d, average squinting time t per hour, standard visual acuity B, minimum distinguishable grayscale L0, refraction φ0 and axial length AL0 during the preset time, and set the refraction risk safety threshold based on the above parameters , Axial risk safety threshold and risk safety threshold sight distance ; Collect the average reading visual distance d and the average squinting time t of the user within the preset time, and substitute them into the following formula; if at least one of P(d) and P(t) is greater than 0.5, proceed to the next step;

[0007]

[0008] In the formula, , is an empirical parameter, = 0.5 cm, =45 s; is the risk safety threshold sight distance, with a value range of 33-35cm; The safe squinting time threshold is in the range of 1.8-2.4s; Collect the user's standard vision B and the minimum grayscale L that the user can distinguish, and substitute them into the following formula; if at least one of P(B) and P(L) is greater than 0.5, the user is at risk of myopia;

[0009]

[0010] In the formula, , is an empirical parameter, =0.8, =0.2; It is the safety threshold standard vision, with a value range of 4.9-6.3; It is the minimum grayscale of the safety threshold, and its value range is 200-225.

[0011] In the above technical scheme, in order to accurately, simply and efficiently evaluate the risk of myopia, so that people can prevent the onset of myopia in time before the human eye becomes myopic, the present invention designs a myopia precursor warning system based on behavior and physiological quantities. The present invention selects relatively stable, simple and easy to measure behavioral parameters and physiological parameters that can reflect the myopia trend of the human eye, and based on these parameters, establishes an expression for the size of the risk of myopia. According to this expression, a corresponding relationship can be established between these behavioral and physiological parameters and the risk of myopia. The present invention can be applied to any field related to education, ophthalmology, public health and other fields, and provide guidance for the prevention and control of myopia. Among them, , , , is an empirical parameter, is the safe squinting time threshold, is the safe squinting time threshold, is the safety threshold standard vision, is the minimum grayscale of the safety threshold, and these parameters are obtained based on the sample distribution measured by the team of the inventors in the previous experiments.

[0012] In some embodiments, the user's reading visual distance d0, average squinting time per hour t0, standard visual acuity B0, minimum distinguishable grayscale L0, refraction φ0 and axial length AL0 are collected at a preset time, and the refraction risk safety threshold is set according to the above parameters. , Axial risk safety threshold , specifically: Calculate the corresponding refractive risk safety threshold according to the following formula , Axial risk safety threshold

[0013]

[0014]

[0015] In the formula, , , , is an empirical parameter, =0.1D, =45D, =0.3 / mm, =24mm. These parameters are obtained based on the sample distribution measured by the inventor's team in the early stage of the experiment.

[0016] In the above technical solution, for the human eye, its refractive power φ and axial length AL directly determine the risk of myopia. Specifically, in the field of ophthalmology, there are two methods for measuring the degree of myopia (optology): subjective method (eye chart) and objective method (automated detection instrument). The KR and AL used in the present invention are collected by automated detection instruments. KR is the refraction of the human eye, and its value measures refractive myopia; AL is the axial length, and its value measures axial myopia. In some embodiments, the risk safety threshold sight distance The calculation formula is as follows:

[0017] In the formula, is the axial risk safety threshold; is the safety threshold of refractive risk.

[0018] In the above technical solution, vision has an impact on myopia, and improper vision will aggravate the development of myopia, so the numerical range of visual distance is crucial. For a certain user, his refraction φ0 and axial length AL0 are known. According to the distribution characteristics of refraction and axial length of a large sample population, the safe refraction value and safe axial length value of this user can be obtained.

[0019] According to another aspect of the present invention, a myopia precursor warning system based on behavior and physiological quantities is provided, the system comprising: a micro-control module and a measurement module electrically connected to the micro-control module; wherein: The measurement module is used to collect the user's reading distance d0, average squinting time t0 per hour, standard visual acuity B0 and the minimum grayscale L0 that can be distinguished, refraction φ0 and axial length AL0 at the preset time, and set the refraction risk safety threshold according to the above parameters , Axial risk safety threshold and risk safety threshold sight distance ; and collecting the user's average reading distance d and average squinting time t per hour within a preset time; The micro-control module is used to substitute the average reading visual distance d and the average squinting time t of the user within the preset time into the following formula; if at least one of P(d) and P(t) is greater than 0.5, proceed to the next step;

[0020]

[0021] In the formula, is an empirical parameter, = 0.5 cm, =45 s; is the risk safety threshold sight distance, with a value range of 33-35cm; The safe squinting time threshold is in the range of 1.8-2.4s; Collect the user's standard vision B and the minimum grayscale L that the user can distinguish, and substitute them into the following formula; if at least one of P(B) and P(L) is greater than 0.5, the user is at risk of myopia;

[0022]

[0023] In the formula, , is an empirical parameter, =0.8, =0.2; It is the safety threshold standard vision, with a value range of 4.9-6.3; It is the minimum grayscale of the safety threshold, and its value range is 200-225.

[0024] In some embodiments, the acquisition module is specifically used to: Calculate the corresponding refractive risk safety threshold according to the following formula , Axial risk safety threshold

[0025]

[0026]

[0027] In the formula, , , , is an empirical parameter, =0.1D, =45D, =0.3 / mm, =24mm.

[0028] In some embodiments, the acquisition module is specifically used to: Calculate risk safety threshold sight distance , the calculation formula is as follows:

[0029] In the formula, is the axial risk safety threshold; is the safety threshold of refractive risk.

[0030] In some embodiments, the system further includes an indication module and a key module electrically connected to the micro-control module; The indication module is used to send a reminder message to the user or the user's guardian according to the processing result of the micro-control module; The key module is used to receive instructions sent by the user and send the instructions to the micro-control module for processing.

[0031] According to another aspect of the present invention, there is provided a myopia precursor warning device based on behavior and physiological quantities, characterized in that it comprises: at least one processor and a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can perform the above method.

[0032] In the above technical solution, in order to better run and process the method, the above method is stored in a memory, and the stored method is executed by a processor. It should be noted that the principle and effect of each step have been described above and will not be described in detail here.

[0033] According to another aspect of the present invention, there is provided a computer-readable storage medium storing a computer program, wherein the computer program implements the above method when executed by a processor.

[0034] In the above technical solution, in order to better run and use the method, the above method is stored in a computer-readable storage medium, and the above method is implemented using a processor. It should be noted that the principle and effect of each step have been described above and will not be described in detail here. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0036] Figure 1 It is a flow chart of an embodiment of a method for early warning of myopia based on behavior and physiological quantities according to the present invention; Figure 2 It is a schematic diagram of the relationship between the visual distance d, the refraction φ and the axial length AL of the eye according to an embodiment of a myopia precursor warning method based on behavior and physiological quantities of the present invention; Figure 3 It is a connection diagram of an embodiment of a myopia precursor warning system based on behavior and physiological quantities of the present invention. DETAILED DESCRIPTION

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and examples. It is particularly noted that the following examples are only used to illustrate the present invention, but are not intended to limit the scope of the present invention. Similarly, the following examples are only partial embodiments of the present invention rather than all embodiments, and all other embodiments obtained by those of ordinary skill in the art without creative work are within the scope of protection of the present invention.

[0038] The present invention provides a myopia precursor warning system and method based on behavior and physiological quantities. In order to accurately, simply and efficiently evaluate the risk of myopia, so that people can prevent the onset of myopia in time before the human eye becomes myopic, the present invention designs a myopia precursor warning system based on behavior and physiological quantities. The present invention selects relatively stable, simple and easy to measure behavioral parameters and physiological parameters that can reflect the myopia trend of the human eye, and establishes an expression for the size of the myopia risk based on these parameters. According to this expression, a corresponding relationship can be established between these behavioral and physiological parameters and the risk of myopia. The present invention can be applied to any field related to education, ophthalmology, public health and other fields, and provide guidance for the prevention and control of myopia.

[0039] Embodiment 1 See also Figure 1, a myopia precursor warning system based on behavior and physiological quantities, including: S1. Collect the user's reading distance d0, average squinting time t0 per hour, standard visual acuity B0, minimum distinguishable grayscale L0, refraction φ0 and axial length AL0 at the preset time, and set the refraction risk safety threshold according to the above parameters. , Axial risk safety threshold and risk safety threshold sight distance ; In this embodiment, the reading visual distance d0, the average squinting time t0 per hour, the standard visual acuity B0, the minimum grayscale L0 that can be distinguished, the refraction φ0 and the axial length AL0 of the user at a preset time are collected, and the refraction risk safety threshold is set according to the above parameters. , Axial risk safety threshold , specifically: Calculate the corresponding refractive risk safety threshold according to the following formula , Axial risk safety threshold

[0040]

[0041]

[0042] In the formula, , , , is an empirical parameter, =0.1D, =45D, =0.3 / mm, =24mm.

[0043] In this embodiment, the risk safety threshold sight distance The calculation formula is as follows:

[0044] In the formula, is the axial risk safety threshold; is the safety threshold of refractive risk.

[0045] S2. Collect the average reading visual distance d and the average squinting time t of the user within the preset time, and substitute them into the following formula; if at least one of P(d) and P(t) is greater than 0.5, proceed to the next step;

[0046]

[0047] In the formula, , is an empirical parameter, = 0.5 cm, =45 s; is the risk safety threshold sight distance, with a value range of 33-35cm; The safe squinting time threshold ranges from 1.8 to 2.4 seconds. S3. Collect the user's standard vision B and the minimum grayscale L that the user can distinguish, and substitute them into the following formula; if at least one of P(B) and P(L) is greater than 0.5, the user is at risk of myopia;

[0048]

[0049] In the formula, , is an empirical parameter, =0.8, =0.2; It is the safety threshold standard vision, with a value range of 4.9-6.3; It is the minimum grayscale of the safety threshold, and its value range is 200-225.

[0050] The principle of the above method is as follows: 1. Refractive risk safety threshold and axial risk safety threshold For the human eye, its refractive power φ and axial length AL directly determine the risk of myopia. The risk of myopia caused by refractive power φ is recorded as P(φ), and the risk of myopia caused by axial length AL is recorded as P(AL).

[0051] When the refractive power φ is within the normal range, the human eye is in a normal state, and the value of P(φ) is very small, which can be considered close to 0; when the refractive power φ is less than the normal range, the human eye is in a hyperopic state, and the value of P(φ) is even smaller, which can be considered close to 0; when the refractive power φ is greater than the normal range, the human eye is in a myopic state, and the value of P(φ) is larger, which can be considered close to 1. As can be seen from the above, there is a critical point in the curve of P(φ) changing with φ. Below this point, the value of the function is small (close to 0) and changes slowly. Above this point, the function value rises rapidly to close to 1, so

[0052] When the axial length AL is within the normal range, the human eye is in a normal state, and the value of P(AL) is very small, which can be considered close to 0; when the axial length AL is less than the normal range, the human eye is in a hyperopic state, and the value of P(AL) is even smaller, which can be considered close to 0; when the axial length AL is greater than the normal range, the human eye is in a myopic state, and the value of P(AL) is larger, which can be considered close to 1. As can be seen from the above, there is also a critical point in the curve of the function change of P(AL) with AL. When it is lower than this point, the value of the function is small (close to 0) and changes slowly. When it is higher than this point, the function value will rise rapidly to close to 1, so

[0053] Let P(φ)=0.5 and P(AL)=0.5 respectively, and calculate the corresponding φ=φ0' and AL=AL0', which are defined as the refractive risk safety threshold and axial risk safety threshold.

[0054] 2. Safe sight distance threshold For a certain user, the refractive power φ0 and axial length AL0 are known. Based on the distribution characteristics of refractive power and axial length of a large sample population, the safe refractive power and safe axial length of this user can be obtained. It is necessary to first clarify the relationship between the visual distance d and the refractive power φ and axial length AL, such as Figure 2 shown.

[0055] In order to obtain the relationship between the viewing distance d, the refractive power φ and the axial length AL, we made the geometric relationship exhibited by the human eye imaging system during the imaging process, such as Figure 1 As shown. For the human eye imaging system: the lens is a whole composed of the cornea and lens at the front of the eyeball, the lens radius is the squint radius R; the object distance is the viewing distance d; the focal length of the lens can be expressed in refraction as 1 / φ; the image distance is the axial length AL, so the distance from the focus to the image plane (retina) is (AL-1 / φ); according to the geometric relationship, the triangle formed by the lens-focal length is similar to the triangle formed by the focal length to the image plane-image, so the expression of the image height can be obtained as (φR*AL-R); according to the geometric relationship, the triangle formed by the object distance-lens radius is similar to the triangle formed by the visual object to the image plane, so

[0056] Can get

[0057] For a certain user, the refractive power φ0 and the axial length AL0 are known, and the optimal viewing distance of the user can be determined according to the above formula;

[0058] Based on the refractive risk safety threshold defined in Part 1 Safety threshold of eye axis risk , and finally calculate the safe sight distance threshold

[0059] 3. Safety thresholds for sight distance risk and squinting risk When the viewing distance d is within the normal range, the human eye is in a normal state, and the value of P(d) is very small, which can be considered close to 0; when the viewing distance d is greater than the normal range, the human eye is in a hyperopic state, and the value of P(φ) is even smaller, which can be considered close to 0; when the viewing distance d is less than the safety threshold, the human eye is in a myopic state, and the value of P(d) is larger, which can be considered close to 1. As can be seen from the above, there is a critical point in the curve of the function change of P(d) with d. Below this point, the value of the function is small (close to 0) and changes slowly. Above this point, the function value will rise rapidly to close to 1, so

[0060] When the squinting time t is within the normal range, the human eye is in a normal state, and the value of P(t) is very small, which can be considered close to 0; when the squinting time t is less than the normal range, the human eye is in a hyperopic state, and the value of P(t) is even smaller, which can be considered close to 0; when the squinting time t is greater than the safety threshold, the human eye is in a myopic state, and the value of P(t) is large, which can be considered close to 1. As can be seen from the above, there is a critical point in the curve of P(t) changing with t. When it is lower than this point, the value of the function is small (close to 0) and changes slowly. When it is higher than this point, the value of the function rises rapidly to close to 1, so

[0061] 4. Standard vision risk safety threshold and grayscale risk safety threshold When the standard vision B is within the normal range, the human eye is in a normal state, and the value of P(B) is very small, which can be considered close to 0; when the standard vision B is greater than the normal range, the human eye is in a hyperopic state, and the value of P(B) is even smaller, which can be considered close to 0; when the standard vision B is less than the safety threshold, the human eye is in a myopic state, and the value of P(B) is larger, which can be considered close to 1. As can be seen from the above, there is a critical point in the curve of P(B) changing with B. Below this point, the value of the function is small (close to 0) and changes slowly. Above this point, the function value will rise rapidly to close to 1, so

[0062] When the grayscale L is within the normal range, the human eye is in a normal state, and the value of P(L) is very small, which can be considered close to 0; when the grayscale L is greater than the normal range, the human eye is in a hyperopic state, and the value of P(L) is even smaller, which can be considered close to 0; when the grayscale L is less than the safety threshold, the human eye is in a myopic state, and the value of P(L) is larger, which can be considered close to 1. As can be seen from the above, there is a critical point in the curve of the function change of P(L) with L. When it is lower than this point, the value of the function is small (close to 0) and changes slowly. When it is higher than this point, the function value will rise rapidly to close to 1, so

[0063] After adopting the above technical solution, the present invention has the following advantages compared with the background technology: The present invention selects relatively stable, simple and easy to measure behavioral parameters and physiological parameters that can reflect the myopia trend of human eyes, such as eye axis, refraction, standard visual acuity, grayscale contrast, viewing distance and squinting time, and establishes an expression for the risk of myopia based on these parameters. According to this expression, a corresponding relationship is established between the myopia risk and the behavioral parameters and physiological parameters, which can effectively assist users in myopia prevention and control and alleviate the risk of myopia.

[0064] Embodiment 2 See also Figure 3 , a myopia precursor warning system based on behavior and physiological quantities, the system comprises: a micro-control module and a measurement module electrically connected to the micro-control module; wherein, The measurement module is used to collect the user's reading distance d0, average squinting time t0 per hour, standard visual acuity B0 and the minimum grayscale L0 that can be distinguished, refraction φ0 and axial length AL0 at the preset time, and set the refraction risk safety threshold according to the above parameters , Axial risk safety threshold and risk safety threshold sight distance ; and collecting the user's average reading distance d and average squinting time t per hour within a preset time; In this embodiment, the measuring module includes a visual distance measuring module, a squinting measuring module, a standard vision measuring module, a grayscale measuring module, an indication module and a button module.

[0065] The visual distance measurement module is connected to the micro-control module, and is used to measure the user's visual distance and send the measured visual distance to the micro-control module; the visual distance measured is defined as the distance between the bridge of the nose between the eyes and the reading point where the eyes are looking.

[0066] The squinting measurement module is connected to the micro-control module, and is used to measure the squinting characteristics of the user and send the squinting characteristics to the micro-control module; the squinting duration measured by the module is the total squinting duration of the user during a fixed reading time of 60 minutes; squinting is defined as the distance between the midpoints of the upper and lower eyelids of the user remaining significantly smaller than the normal distance for more than 1 second.

[0067] The standard vision measurement module is connected to the micro-control module and is used to test the user's standard vision and send the standard vision information to the micro-control module; the standard vision measured by the module is the minimum standard vision that the user can see clearly.

[0068] The grayscale measurement module is connected to the micro-control module and is used to test the grayscale characteristics of the user and send the grayscale contrast information to the micro-control module; the grayscale measured by the module is the minimum grayscale percentage that the user can see clearly.

[0069] The microcontroller module (MCU) is connected to other modules, and the user's behavior and physiological parameters are substituted into the built-in myopia risk calculation formula, and the myopia risk is output through the indicator module. Specifically, it is used to collect the user's average reading distance d and average hourly squinting time t within the preset time, and substitute them into the following formula; if at least one of P(d) and P(t) is greater than 0.5, proceed to the next step;

[0070]

[0071] In the formula, is an empirical parameter, = 0.5 cm, =45 s; is the risk safety threshold sight distance, with a value range of 33-35cm; The safe squinting time threshold is in the range of 1.8-2.4s; Collect the user's standard vision B and the minimum grayscale L that the user can distinguish, and substitute them into the following formula; if at least one of P(B) and P(L) is greater than 0.5, the user is at risk of myopia;

[0072]

[0073] In the formula, , is an empirical parameter, =0.8, =0.2; It is the safety threshold standard vision, with a value range of 4.9-6.3; It is the minimum grayscale of the safety threshold, and its value range is 200-225.

[0074] In this embodiment, the acquisition module is specifically used for: Calculate the corresponding refractive risk safety threshold according to the following formula , Axial risk safety threshold

[0075]

[0076]

[0077] In the formula, , , , is an empirical parameter, =0.1D, =45D, =0.3 / mm, =24mm.

[0078] In this embodiment, the acquisition module is specifically used for: Calculate risk safety threshold sight distance , the calculation formula is as follows:

[0079] In the formula, is the axial risk safety threshold; is the safety threshold of refractive risk.

[0080] In this embodiment, the system further includes an indication module and a key module electrically connected to the micro-control module; the indication module is used to send a reminder message to the user or the user's guardian according to the processing result of the micro-control module, and the reminder message is used to remind the user or the user's guardian that the user has a myopia precursor risk and needs to go to a relevant medical institution for examination. The key module is used to receive instructions sent by the user and send the instructions to the micro-control module for processing.

[0081] Based on the first embodiment and the second embodiment, the present invention conducts two sets of tests, as follows: (1) Subjects aged 8-15 years old (n=20, refractive distribution of subjects: +1.00 m-1~-0.25 m-1) were asked to use this system for a long time. Within one year of using the system, the system issued risk warnings to 6 people. After examination by relevant medical institutions, it was found that two of the 6 people had mild myopia and four had pseudomyopia.

[0082] (2) For a certain age group of 20-30 years old test users (n=20, the test individual refractive distribution is: -1.00 m-1 ~-3.00m -1 )), causing them to use the system for a long time; within one year of using the system, the system issued risk warnings to three people, and after examination by relevant medical institutions, the three people's myopia had increased.

[0083] Embodiment 3 A myopia precursor warning device based on behavior and physiological quantities, comprising: at least one processor and a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method described in one of the embodiments.

[0084] In this embodiment, in order to better run and process the method described in one of the embodiments, the method described in one of the embodiments is stored in a memory, and a processor is used to execute the stored method. It should be noted that the principle and effect of each step have been described above and will not be described in detail here.

[0085] Embodiment 4 A computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the method described in one of the embodiments is implemented.

[0086] In this embodiment, in order to better run and use the method described in one of the embodiments, the above method is stored in a computer-readable storage medium, and a processor is used to implement the method described in one of the embodiments. It should be noted that the principle and effect of each step have been described above and will not be described in detail here.

[0087] The above descriptions are only some embodiments of the present invention, and are not intended to limit the protection scope of the present invention. Any equivalent device or equivalent process transformation made using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A myopia precursor warning method based on behavior and physiological quantities, characterized in that: Collect the user's average reading distance d, average squinting time t per hour, standard visual acuity B, minimum distinguishable grayscale L0, refraction φ0 and axial length AL0 during the preset time, and set the refraction risk safety threshold based on the above parameters , Axial risk safety threshold and risk safety threshold sight distance ; Substitute the user's average reading distance d and average squinting time per hour t into the following formula; if at least one of P(d) and P(t) is greater than 0.5, proceed to the next step; In the formula, is an empirical parameter, = 0.5 cm, =45 s; is the risk safety threshold sight distance, with a value range of 33-35cm; The safe squinting time threshold is in the range of 1.8-2.4s; Collect the user's standard vision B and the minimum grayscale L that the user can distinguish, and substitute them into the following formula; if at least one of P(B) and P(L) is greater than 0.5, the user is at risk of myopia; In the formula, , is an empirical parameter, =0.8, =0.2; It is the safety threshold standard vision, with a value range of 4.9-6.3; It is the minimum grayscale of the safety threshold, and its value range is 200-225.

2. A myopia precursor warning method based on behavior and physiological quantities as claimed in claim 1, characterized in that: Collect the user's reading distance d0, average squinting time t0 per hour, standard visual acuity B0, minimum distinguishable grayscale L0, refraction φ0 and axial length AL0 at the preset time, and set the refraction risk safety threshold based on the above parameters , Axial risk safety threshold , specifically: Calculate the corresponding refractive risk safety threshold according to the following formula , Axial risk safety threshold In the formula, , , , is an empirical parameter, =0.1D, =45D, =0.3 / mm, =24mm.

3. A myopia precursor warning method based on behavior and physiological quantities as claimed in claim 1 or 2, characterized in that: The risk safety threshold sight distance The calculation formula is as follows: In the formula, is the axial risk safety threshold; is the safety threshold of refractive risk.

4. A myopia precursor warning system based on behavior and physiological quantities, characterized in that: The system comprises: a micro-control module and a measuring module electrically connected to the micro-control module; wherein, The measurement module is used to collect the average reading distance d, average squinting time t, standard visual acuity B, minimum distinguishable grayscale L0, refraction φ0 and axial length AL0 of the user at the preset time, and set the refraction risk safety threshold according to the above parameters , Axial risk safety threshold and risk safety threshold sight distance ; The micro-control module is used to substitute the user's average reading visual distance d and average hourly squinting time t into the following formula; if at least one of P(d) and P(t) is greater than 0.5, proceed to the next step; In the formula, is an empirical parameter, = 0.5 cm, =45 s; is the risk safety threshold sight distance, with a value range of 33-35cm; The safe squinting time threshold is in the range of 1.8-2.4s; Collect the user's standard vision B and the minimum grayscale L that the user can distinguish, and substitute them into the following formula; if at least one of P(B) and P(L) is greater than 0.5, the user is at risk of myopia; In the formula, , is an empirical parameter, =0.8, =0.2; It is the safety threshold standard vision, with a value range of 4.9-6.3; It is the minimum grayscale of the safety threshold, and its value range is 200-225.

5. The myopia precursor warning system based on behavior and physiological quantities as claimed in claim 4, characterized in that: The acquisition module is specifically used for: Calculate the corresponding refractive risk safety threshold according to the following formula , Axial risk safety threshold In the formula, , , , is an empirical parameter, =0.1D, =45D, =0.3 / mm, =24mm.

6. The myopia precursor warning system based on behavior and physiological quantities as claimed in claim 4, characterized in that: The acquisition module is specifically used for: Calculate risk safety threshold sight distance , the calculation formula is as follows: In the formula, is the axial risk safety threshold; is the safety threshold of refractive risk.

7. The myopia precursor warning system based on behavior and physiological quantities as claimed in claim 4, characterized in that: The system also includes an indication module and a key module electrically connected to the micro-control module; The indication module is used to send a reminder message to the user or the user's guardian according to the processing result of the micro-control module; The key module is used to receive instructions sent by the user and send the instructions to the micro-control module for processing.

8. A myopia precursor warning device based on behavior and physiological quantities, characterized in that: include: at least one processor and a memory communicatively coupled to the at least one processor; The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method as claimed in any one of claims 1 to 3.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the method according to any one of claims 1 to 3 is implemented.

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