Novel head-mounted myopia prevention system

Abstract

The invention relates to the technical field of myopia prevention, and discloses a novel head-mounted myopia prevention system, which comprises an ambient light data acquisition module used for acquiring ambient light data at a set frequency; and the data processing unit is used for performing mathematical transformation on the ambient light data acquired in a period of time, comparing a transformation result with a preset threshold value, and obtaining whether the ambient light source stroboscopes or not and whether the electronic product is used or not according to a comparison result. Compared with an existing method for detecting flicker of an electronic screen, the intelligent glasses have the advantages that excessive sensors do not need to be arranged, on the basis of not increasing hardware cost, the functions of the existing intelligent glasses for preventing and treating myopia are expanded, whether electronic products are used or not is judged by detecting the stroboscopic frequency of ambient light, and the economical efficiency is very good.

Description

Technical Field

[0001] The present invention relates to the technical field of myopia prevention, and particularly to a novel head-mounted myopia prevention system. Background Art

[0002] All lamps have the problem of stroboscopic light. Stroboscopic light can cause the user's eyes to easily get tired, and in severe cases, it can also affect the user's brain. Many lamps do not have a serious stroboscopic problem when they are first used, but the stroboscopic problem becomes serious after being used for a period of time. Stroboscopic light with a frequency of 50 Hz or below has a particularly serious impact on eyesight.

[0003] The existing intelligent devices for preventing and controlling myopia rarely involve the control of the use of electronic products and stroboscopic light. Even if they do, the following problems exist:

[0004] 1) There is a corresponding hardware foundation, but there is no control over the usage time of electronic products and stroboscopic light. The methods described in the invention patents with application numbers 《CN201510430427.X》, 《CN201210252333.4》, 《201810453096.5》, and 《201710979780.2》 all use light intensity-related sensors to obtain the light intensity information of the environment where the user is located, but none of them use this information to calculate the stroboscopic information of the lights in the user's environment and the information on whether the user is using the screen of an electronic product.

[0005] The invention patent with application number 《202410249770.3》, although it detects stroboscopic light and glare, requires the use of multiple sensors to achieve, which is not economical. Summary of the Invention

[0006] The purpose of the present invention is to solve the problems existing in the prior art, and a novel head-mounted myopia prevention system is proposed.

[0007] In order to achieve the above purpose, the present invention adopts the following technical solutions:

[0008] A novel head-mounted myopia prevention system, comprising:

[0009] An ambient light data acquisition module, configured to acquire ambient light data;

[0010] The ambient light data acquisition module may acquire one or several of the illuminance, brightness, and light intensity data in the visible light band, or may acquire data of one or several wavelengths within the visible light band;

[0011] A data processing unit performs a mathematical transformation on the ambient light data collected at a set frequency over a period of time, compares the transformation result with a preset threshold, and determines whether the ambient light is flickering and whether an electronic product with a screen is in use based on the comparison result. Hereinafter, the electronic product with a screen is referred to as an electronic product.

[0012] Preferably, when determining that an electronic product is in use, it also includes collecting the duration information of the use of the electronic product.

[0013] Preferably, the process of the mathematical transformation is: extracting the frequency information in the ambient light data collected over a period of time at a set sampling frequency.

[0014] Preferably, when comparing the transformation result with a preset threshold, when analyzing the transformation result, the energy of each frequency component and the ratio of the total energy are referred to. Among them, the total energy data is the sum of the energies of each component. And according to the ratio of the energy of the frequency component to the total energy data, if it is greater than the set threshold, it is considered that the electronic product is in use; it can also be based on the relationship between each frequency component, that is, if the amplitude of a certain frequency component exceeds the average amplitude or exceeds a set multiple of one or more adjacent frequency components, it is considered that the electronic product is in use.

[0015] Preferably, it also includes a ranging module for detecting the distance between the head-mounted device and the electronic product, and judging whether the electronic product is used at a short distance according to different ratios of the energy of different frequency components and the total light intensity energy data corresponding to different distances.

[0016] Preferably, when judging whether the ambient light has flicker, the pre-calibrated data is used to judge whether there is flicker. During calibration, the frequency of flicker in the ambient light is recorded, that is, the frequency with the largest ratio of the energy of the frequency component to the total energy is calibrated as the flicker frequency, and this frequency is used to judge whether the ambient light has flicker.

[0017] Preferably, it also includes a communication module for communicating with the server or the mobile phone, and transmitting the time and distance data of the use of the electronic product to the server or the mobile phone.

[0018] Preferably, it also includes an alarm module. When the electronic product is in use and the time of using eyes at a short distance exceeds the preset value, an alarm for overtime use of the electronic product is given, and different distances can correspond to different preset times.

[0019] A method for preventing myopia uses a new type of head-mounted myopia prevention system, including the following steps:

[0020] Collect ambient light data over a period of time at a set frequency;

[0021] Perform mathematical transformation on the ambient light data collected over a period of time, compare the transformation result with a preset threshold, and determine whether the ambient light is flickering and whether an electronic product is in use based on the comparison result;

[0022] If an electronic product is in use, collect the usage time and distance information of the electronic product, and upload the statistics of the electronic product usage time to the mobile phone and the cloud;

[0023] If the time of using the eyes at a close distance exceeds the preset value when using the electronic product, an alarm is issued.

[0024] An intelligent myopia correction glasses, comprising an intelligent glasses main body and a new type of head-mounted myopia prevention system mounted on the intelligent glasses main body.

[0025] Compared with the prior art, the beneficial effects of the present invention are:

[0026] Compared with the existing inventions for detecting flicker and screen flicker of electronic products, the present invention does not require setting too many sensors. On the basis of not increasing the hardware cost, the functions of the myopia prevention intelligent glasses are expanded. By detecting the flicker frequency of the ambient light and determining whether an electronic product is in use, the economy is very good. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 It is a schematic implementation flowchart of a new type of head-mounted myopia prevention system proposed by the present invention;

[0028] Figure 2 It is a schematic composition diagram of a new type of head-mounted myopia prevention system proposed by the present invention.

[0029] In the figure, 201, data processing unit; 202, communication module; 203, ambient light data acquisition module; 204, ambient light data acquisition module; 205, ranging module. DETAILED DESCRIPTION OF THE INVENTION

[0030] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments.

[0031] Refer to Figure 1 - Figure 2 , a new type of head-mounted myopia prevention system, comprising:

[0032] An ambient light data acquisition module 203, configured to convert the collected ambient light intensity into an analog voltage and output it;

[0033] The ambient light data acquisition module 203 can transmit the ambient light data to the data processing unit 201. The transmission method is that the ambient light data acquisition module 203 outputs an analog voltage, which is subjected to A / D conversion and sampling by the data processing unit 201 at a sampling frequency of 720 times per second;

[0034] In another embodiment, when using other ambient light data acquisition modules, the data processing unit 201 can also directly acquire data through a digital interface;

[0035] The data processing unit 201 samples the ambient light data from the ambient light data acquisition module 203 at 8 times the pre-calibrated frequency. Calculate the peak value, valley value, and average value of a group according to 8 data as a group, and calculate the average peak value, valley value, and average value within 1 second. Next, calculate the fluctuation depth, flicker index, and flicker percentage using the average peak value, valley value, and average value. The calculation method is as follows:

[0036] Fluctuation depth (Fm - Fn) / Fm

[0037] Flicker index Q1 / (Q1 + Q2)

[0038] Flicker percentage (Fm - Fn) / (Fm + Fn);

[0039] Fm is the flicker peak value, Fn is the flicker valley value, F0 is the average value, Q1 is the integral energy above F0, and Q2 is the integral energy under the curve below F0;

[0040] If a certain one of the above data is greater than the preset value, it is marked as stroboscopic;

[0041] Of course, in other embodiments, it can also be determined that the stroboscopic exceeds the standard when the energy proportion of stroboscopy exceeds the preset threshold; in addition to calculating one or several of the indicators such as fluctuation depth, flicker index, and flicker percentage, and comparing with the preset threshold to determine whether the stroboscopic exceeds the standard, methods recommended by relevant national standards, local standards, IEC, etc. can also be used;

[0042] The data processing unit 201 performs Fourier transform on the ambient light data sampled at a sampling frequency of 720 times per second for a period of time, and calculates the energy of each frequency for the transformation result; the energy of each frequency component is calculated using Parseval's theorem, and the total energy is calculated using Parseval's theorem to obtain the percentage of the energy of each frequency component in the total energy.

[0043] Of course, in other embodiments, Fourier transform can also be replaced by wavelet transform, Hilbert transform, or it can be ensemble empirical mode decomposition (EEMD).

[0044] When the ranging result of the ranging module 205 is within the set range, if the energy percentage of one or several frequencies among other frequencies except the pre-calibrated frequency is greater than the set percentage, it is marked that the electronic product is in use, and the usage time is accumulated and the distance is recorded;

[0045] Among them, the 205 ranging module uses a TOF ranging device;

[0046] In another embodiment, a PSD ranging device or an infrared energy method ranging device can be used;

[0047] Among them, in addition to determining that the electronic product is in use when the ratio of the energy of the frequency component to the total light intensity energy data is greater than a certain threshold, it can also be determined that the electronic product is in use according to the relationship between the frequency components, that is, when the amplitude of a certain frequency component exceeds the average amplitude or exceeds a set multiple of one or more adjacent frequency components;

[0048] When the usage duration of the electronic product by the data processing unit 201 is greater than the set duration limit, it alarms through the vibrator. When the data processing unit 201 marks it as stroboscopic, it alarms through the vibrator;

[0049] The data processing unit 201 reports the time information of using the electronic product to the cloud service through the communication module 202;

[0050] The data processing unit 201 obtains the probability of possible myopia deepening from the server through the communication module 202.

[0051] In this embodiment, the data processing unit 201 and the communication module 202 use Qichen CH592, and Qichen CH592 is a RISC-V MCU microcontroller integrated with BLE wireless communication;

[0052] The ambient light data acquisition module 203 selects Everlight ALS-PT19-315C / L177 / TR8;

[0053] The alarm module uses a vibrator, and a 1020-size vibrator is used;

[0054] The ranging module 205 selects ST's VL53L0CXV0DH / 1;

[0055] In another embodiment, the communication module 202 can also communicate in ways such as WIFI and XingFlash.

[0056] This system is used on the smart glasses of the existing technology, and the above modules are installed in the smart glasses.

[0057] Compared with the prior art, the present invention first takes into account the impact of the electronic product screen and stroboscopic on the eye fatigue degree of users, and adds three main dimensions for understanding the decline of eye vision, namely stroboscopic, the time and distance of using electronic products. Existing products and patents do not distinguish them, resulting in the inability to explain the problem with data. For example, two users use their eyes closely at the same time for the same period. One user uses an electronic product with a screen, and the other user reads a book (because in the view of existing products and patents, the two are the same). Subsequently, the user who uses the electronic product with a screen has a rapid decline in vision. Existing products and patents cannot distinguish and cannot predict through big data. The present invention solves this problem.

[0058] In addition, all the methods described in the present invention are to add functions for achieving the purpose of preventing and controlling myopia on the premise of achieving this purpose, which can make the cloud big data more accurate, and can prompt different times according to the different impacts of looking at electronic products and other objects on the eye fatigue degree, and the different eye use times of users looking at different types of objects closely for too long.

[0059] The above is only the preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art within the technical scope disclosed by the present invention, according to the technical solution and inventive concept of the present invention, makes equivalent substitutions or changes, and should be covered by the protection scope of the present invention.

Claims

1. A new head-mounted myopia prevention system, characterized in that: include: An ambient light data collection module, used for collecting ambient light data; The data processing unit performs mathematical transformation on the ambient light data collected at a set frequency over a period of time, and compares the transformation result with a pre-set threshold value, and determines whether the ambient light is flickering and whether an electronic product is being used based on the comparison result.

2. A novel head-mounted myopia prevention system according to claim 1, characterized in that: When judging whether an electronic product is in use, it also includes collecting time information of the use of the electronic product.

3. The novel head-mounted myopia prevention system according to claim 1, characterized in that: The process of the mathematical transformation is: extracting frequency information from ambient light data collected over a period of time at a set sampling frequency.

4. The novel head-mounted myopia prevention system according to claim 3 is characterized in that: When the transformation result is compared with a pre-set threshold, the ratio of the energy of each frequency component to the total energy is referred to when analyzing the transformation result, wherein the total energy data is the sum of the energies of each component, and according to the ratio of the frequency component energy to the total energy data, if it is greater than the set threshold, it is considered that the electronic product is in use; and it also includes a ranging module for detecting the distance between the head-mounted device and the electronic product, and judging whether the electronic product is used at a close distance according to the ratio of different frequency component energies and total light intensity energy data corresponding to different distances.

5. The novel head-mounted myopia prevention system according to claim 3 is characterized in that: When the transformation result is compared with a pre-set threshold, based on the relationship between the frequency components, that is, if the amplitude of a certain frequency component exceeds the average amplitude or exceeds the set multiple of one or more adjacent frequency components, it is considered that the electronic product is in use; it also includes a ranging module for detecting the distance between the head-mounted device and the electronic product, and judging whether the electronic product is used at a close distance based on the relationship between the frequency components.

6. The novel head-mounted myopia prevention system according to claim 5, characterized in that: When determining whether the ambient light is stroboscopic, the pre-calibrated data is used to determine whether the ambient light is stroboscopic. The calibration is to record the frequency of the ambient light that meets the stroboscopic condition, and the frequency is used to determine when determining.

7. A novel head-mounted myopia prevention system according to claim 2 or 6, characterized in that: It also includes a communication module for communicating with a server or a mobile phone to transmit the time data of the electronic product being used to the server or the mobile phone.

8. A novel head-mounted myopia prevention system according to claim 2 or 6, characterized in that: It also includes an alarm module, which will sound an alarm if the time of close eye use exceeds a preset value when electronic products are used.

9. A method for preventing myopia, using a novel head-mounted system for preventing myopia according to any one of claims 1 to 8, characterized in that: The following steps are involved: Collect ambient light data over a period of time at a set frequency; Perform mathematical transformation on the ambient light data collected over a period of time, and compare the transformation result with the pre-set threshold value, and determine whether the ambient light is flickering and whether electronic products are being used based on the comparison result; If electronic products are being used, the time information of use is collected and the usage time statistics of electronic products are uploaded to the mobile phone and the cloud; If the time spent using eyes at close range exceeds a preset value when using electronic products, an alarm will be triggered.

10. A pair of intelligent myopia correction glasses, characterized by: A novel head-mounted myopia prevention system comprising a smart glasses body and the smart glasses body as described in any one of claims 1 to 8.

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