Simple method for distinguishing sunlight-like LEDs

文档序号:1919456 发布日期:2021-12-03 浏览:26次 中文

阅读说明:本技术 一种辨别类太阳光led的简易方法 (Simple method for distinguishing sunlight-like LEDs ) 是由 李阳 王金亮 马正红 任国芳 于 2021-09-02 设计创作,主要内容包括:本发明涉及一种辨别类太阳光LED的简易方法,将允许透射波长范围440~460nm的第一带通滤光片及允许透射波长范围470~490nm的第二带通滤光片分别贴合智能终端的摄像头,用照度软件分别获得第一带通滤光片下测得的类太阳光LED光源照度值X1和待测LED光源照度值Y1;以及获得第二带通滤光片下的类太阳光LED光源照度值X2和待测LED光源照度值Y2;计算N=X1/X2和M=Y1/Y2,若M/N>1.4,则待测LED光源为“非类太阳光光源”;若M/N≤1.4,则待测LED光源为“类太阳光光源”。本发明所需测试设备简单且便于携带,辨别方法简单易行,可快速辨别出待测LED光源是否为类太阳光光源。(The invention relates to a simple method for distinguishing a sunlight-like LED (light-emitting diode), which is characterized in that a first band-pass filter allowing the transmission wavelength range to be 440-460nm and a second band-pass filter allowing the transmission wavelength range to be 470-490nm are respectively attached to a camera of an intelligent terminal, and illuminance software is used for respectively obtaining a sunlight-like LED light source illuminance value X1 measured under the first band-pass filter and an LED light source illuminance value Y1 to be measured; obtaining a sunlight-like LED light source illumination value X2 and an LED light source illumination value Y2 to be detected under the second band-pass filter; calculating N-X1/X2 and M-Y1/Y2, and if M/N is more than 1.4, the LED light source to be detected is a non-sunlight-like light source; and if the M/N is less than or equal to 1.4, the LED light source to be detected is a similar sunlight light source. The required test equipment is simple and convenient to carry, the distinguishing method is simple and easy to implement, and whether the LED light source to be tested is a sunlight-like light source or not can be quickly distinguished.)

1. A simple method for distinguishing sunlight-like LEDs is characterized in that: the system comprises a first band-pass filter allowing transmission wavelength range of 440-460nm, a second band-pass filter allowing transmission wavelength range of 470-490nm, an intelligent terminal, a sunlight-like LED light source and an LED light source to be detected, wherein illumination software capable of detecting the illumination of the light source is installed on the intelligent terminal; the method for judging whether the LED light source to be detected is a sunlight-like LED light source comprises the following steps:

attaching the first band-pass filter to a camera or a photoreceptor of the intelligent terminal, respectively enabling the known sunlight-like LED light source and the LED light source to be detected to face the first band-pass filter for irradiation, and turning on the illumination software to respectively obtain the illumination value X1 of the sunlight-like LED light source and the illumination value Y1 of the LED light source to be detected, which are measured under the first band-pass filter;

attaching the second band-pass filter to a camera or a photoreceptor of the intelligent terminal, respectively enabling the known sunlight-like LED light source and the LED light source to be detected to face the second band-pass filter for irradiation, and turning on the illumination software to respectively obtain the illumination value X2 of the sunlight-like LED light source and the illumination value Y2 of the LED light source to be detected, which are measured under the second band-pass filter;

calculating the illuminance ratio N of the known sunlight-like LED light source measured under two band-pass filters, wherein N is X1/X2; calculating the illuminance ratio M of the LED light source to be measured under the two band-pass filters, wherein the M is Y1/Y2;

calculating the magnitude of the M/N value, and if the M/N value is larger than 1.4, obtaining that the LED light source to be detected is a non-sunlight-like light source; if the M/N value is less than or equal to 1.4, the LED light source to be detected is a 'quasi-sunlight light source'.

2. The simple method for distinguishing sunlight-like LEDs as claimed in claim 1, wherein: the intelligent terminal is any one of a smart phone, a tablet personal computer and an intelligent bracelet.

3. The simple method for distinguishing sunlight-like LEDs as claimed in claim 1, wherein: the testing distance from the known sunlight-like LED light source to the first band-pass filter is SN1The testing distance between the LED light source of the known sunlight and the second band-pass filter is SN2,SN1=SN2(ii) a The test distance between the LED light source to be tested and the first band-pass filter is SM1The test distance between the LED light source to be tested and the second band-pass filter is SM2,SM1=SM2

4. The simple method for distinguishing the sunlight-like LED according to claim 3, wherein: and adjusting the testing distance between each light source and the two filters, wherein the values of the illumination values X1, X2, Y1 and Y2 are all larger than 10 lux.

5. The simple method for distinguishing LED similar to sunlight according to claim 3 or 4, wherein the method is characterized in thatIn the following steps: said SN1=SN2=SM1=SM2

6. The simple method for distinguishing the sunlight-like LED according to claim 3 or 4, wherein: said SN1=SN2≠SM1=SM2

7. The simple method for distinguishing sunlight-like LEDs as claimed in claim 1, wherein: the known sunlight-like LED light source is a light source which adopts a plurality of blue light chips to excite a plurality of fluorescent powders to generate a white light LED.

8. The simple method for distinguishing sunlight-like LEDs as claimed in claim 1, wherein: the known sunlight-like LED light source is a light source which adopts a plurality of purple light chips to excite a plurality of fluorescent powders to generate a white light LED.

Technical Field

The invention relates to the technical field of illumination, in particular to identification of a sunlight-like LED light source, and particularly relates to a simple method for identifying a sunlight-like LED.

Background

LEDs are widely used in lighting products due to high efficiency, energy saving, and environmental protection, and the light sources used in white light LED lighting products sold in the existing market are mainly classified into two types: the first product generally adopts a single blue chip to obtain white light by exciting yellow fluorescent powder, the dominant wavelength of the blue chip is generally between 450-460nm, and because the half width of the blue chip is narrow and the emission energy is high, a blue light peak is generally formed between 440-460nm and a blue light peak valley is formed between 470-490nm (as shown in fig. 1). The conventional LED has high harmful blue light radiation intensity, is easy to damage human eyes under long-term irradiation, but the manufacturing cost is relatively low, so that more conventional LED products are still circulated in the market.

The definition of "sunlight-like LED" is given in the group standard (standard number: T/CSA066-2020, published by the national semiconductor lighting engineering research and development and industry alliance) published and implemented at 14.12.2020. sunlight-like LED refers to a light source with high light quality, i.e. a light source which uses LED as a light emitter and simulates the spectrum of the sunlight on the earth surface in the visible light region by different spectrum combination techniques, and is expected to achieve the purposes of health, comfort and the like when applied to artificial lighting. Therefore, the second product on the market is a solar-like LED. In order to reduce the harm of blue light to human eyes, when realizing the similar-sunlight spectrum, many manufacturers use a plurality of blue light chips to excite a plurality of fluorescent powders to generate a white light LED light source, or use a purple light chip to excite the fluorescent powders to obtain the similar-sunlight spectrum, the white light LED light source emitted by the method effectively reduces the harmful light intensity (such as blue light) between 440 and 460nm, and simultaneously improves the blue light intensity between 470 and 490nm, so that the white light spectrum is closer to the solar spectrum (as shown in FIG. 1). Just because the harm of blue light to human eyes is reduced by the sunlight-like LED, the LED is more popular with consumers compared with the first product. However, compared with the first type of product, the second type of product has higher cost, so that the two types of LED lighting products on the market exist at present, and under the condition that professional detection equipment (such as an illumination instrument) is lacked, a consumer cannot distinguish the products well when choosing a lighting lamp, and especially when a child learns to use and choose the lighting lamp, if a parent selects the first type of product by mistake, the eye health of the child is threatened. Therefore, it is very necessary to develop a simple method suitable for consumer use and capable of rapidly identifying and distinguishing the two products.

Disclosure of Invention

The invention discloses a simple method for distinguishing a similar sunlight LED, which is realized by the following technical scheme:

a simple method for distinguishing a sunlight-like LED comprises a first band-pass filter allowing transmission wavelength range of 440-460nm, a second band-pass filter allowing transmission wavelength range of 470-490nm, an intelligent terminal, a sunlight-like LED light source and an LED light source to be detected, wherein illumination software capable of detecting the illumination of the light source is installed on the intelligent terminal; the method for judging whether the LED light source to be detected is a sunlight-like LED light source comprises the following steps:

attaching the first band-pass filter to a camera or a photoreceptor of the intelligent terminal, respectively enabling the known sunlight-like LED light source and the LED light source to be detected to face the first band-pass filter for irradiation, and turning on the illumination software to respectively obtain the illumination value X1 of the sunlight-like LED light source and the illumination value Y1 of the LED light source to be detected, which are measured under the first band-pass filter;

attaching the second band-pass filter to a camera or a photoreceptor of the intelligent terminal, respectively enabling the known sunlight-like LED light source and the LED light source to be detected to face the second band-pass filter for irradiation, and turning on the illumination software to respectively obtain the illumination value X2 of the sunlight-like LED light source and the illumination value Y2 of the LED light source to be detected, which are measured under the second band-pass filter;

calculating the illuminance ratio N of the known sunlight-like LED light source measured under two band-pass filters, wherein N is X1/X2; calculating the illuminance ratio M of the LED light source to be measured under the two band-pass filters, wherein the M is Y1/Y2;

calculating the magnitude of the M/N value, and if the M/N value is larger than 1.4, obtaining that the LED light source to be detected is a non-sunlight-like light source; if the M/N value is less than or equal to 1.4, the LED light source to be detected is a 'quasi-sunlight light source'.

Furthermore, the intelligent terminal is any one of a smart phone, a tablet personal computer and an intelligent bracelet.

Further, the testing distance from the known sunlight-like LED light source to the first band-pass filter is SN1The testing distance between the LED light source of the known sunlight and the second band-pass filter is SN2,SN1=SN2(ii) a The test distance between the LED light source to be tested and the first band-pass filter is SM1The test distance between the LED light source to be tested and the second band-pass filter is SM2,SM1=SM2

Further, the testing distance between each light source and the two filters is adjusted, and the values of the illumination values X1, X2, Y1 and Y2 are all larger than 10 lux.

Further, said SN1=SN2=SM1=SM2

Further, said SN1=SN2≠SM1=SM2

Further, the known sunlight-like LED light source is a light source that generates a white LED by exciting various phosphors with a plurality of blue light chips.

Further, the known sunlight-like LED light source is a light source that generates a white LED by exciting various phosphors with a plurality of violet chips.

The distinguishing method provided by the invention does not need complex special equipment, the needed testing equipment is common and easy to obtain in life and is convenient to carry about, the distinguishing method disclosed based on the testing equipment is simple and easy to implement, whether the LED light source to be tested is a sunlight-like light source or not can be quickly distinguished without professional knowledge, and the distinguishing method is very suitable for distinguishing and using the selected lamp when a user purchases an illuminating lamp.

Drawings

FIG. 1 is a spectrum diagram of a sunlight-like LED light source and a conventional LED light source;

fig. 2 is a schematic diagram of the principle of the apparatus used when the discrimination method of the present invention is employed.

Detailed Description

The technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

The embodiment discloses a simple method for distinguishing a sunlight-like LED, and required equipment and a test principle are shown in figure 2. In order to allow a user to quickly and easily distinguish whether the selected lighting lamp is a sunlight-like LED light source or not when the user purchases the lighting lamp in daily life, the invention selects some articles which are common and easily obtained in life on the whole test equipment, and is convenient to carry. Therefore, the required testing device is divided into a first band-pass filter, a second band-pass filter and an intelligent terminal, wherein the intelligent terminal can be any one of a smart phone, a tablet personal computer and an intelligent bracelet, and the intelligent terminal is provided with a camera or a photoreceptor and can be provided with illumination software for detecting the illumination of a light source. The "illuminance" referred to in this embodiment is the illumination intensity, and refers to the luminous flux of the received visible light per unit area, and the unit is lux. There are many methods and mobile phones capable of detecting illuminance, wherein a patent of invention publication No. CN101169338B discloses a mobile phone and a method thereof with a function of measuring illuminance, and since the detection of illuminance in this section belongs to the prior art, the present invention does not explain a specific illuminance detection method. At present, there are many software for measuring illuminance, for example, after an application market of a mobile phone searches for a "light intensity meter" or a "Luxmeter" and downloads and installs the software, the existing illuminance software is not limited to the above two types, and since the "light intensity meter" can be used for free, the invention also performs detection based on the free software in a series of comparison tests.

The first band-pass filter allows the transmitted light to have a wavelength range of 440-460nm, and the second band-pass filter allows the transmitted light to have a wavelength range of 470-490 nm. In addition, a sample known as a sunlight-like LED light source needs to be prepared in advance, and for simplification, the known sunlight-like LED light source sample is referred to as a "reference piece" below, and the reference piece may be a white light source generated by a plurality of blue light chips exciting a plurality of phosphors, or a white light source generated by a plurality of violet light chips exciting a plurality of phosphors. Before the discrimination test is carried out, the illumination software is installed on the intelligent terminal, and then discrimination is carried out according to the following test method:

attaching the first band-pass filter to a camera or a photoreceptor of the intelligent terminal, respectively enabling the reference piece and the LED light source to be detected to face the first band-pass filter for irradiation, and turning on the illumination software to respectively obtain a reference piece illumination value X1 and an LED light source illumination value Y1 measured under the first band-pass filter; attaching the second band-pass filter to a camera or a photoreceptor of the intelligent terminal, respectively enabling the reference piece and the LED light source to be detected to face the second band-pass filter for irradiation, and turning on the illumination software to respectively obtain a reference piece illumination value X2 and an LED light source illumination value Y2 measured under the second band-pass filter; calculating the illuminance ratio N of the reference piece measured under the two band-pass filters, wherein N is X1/X2; calculating the illuminance ratio M of the LED light source to be measured under the two band-pass filters, wherein the M is Y1/Y2; calculating the magnitude of the M/N value, and if the M/N value is larger than 1.4, obtaining that the LED light source to be detected is a non-sunlight-like light source (also called as a conventional LED); if the M/N value is less than or equal to 1.4, the LED light source to be detected is a 'quasi-sunlight light source'.

According to the invention, two different band-pass filters are adopted to test the blue light or purple light illumination of two different wave bands, and the ratio calculation is carried out, on one hand, although the blue light peak value of the conventional white light LED light source and the sunlight-like white light LED light source between 440 and 460nm in a spectrogram is obvious, when the blue light peak value is converted into illumination, the blue light illumination of the conventional white light LED light source and the sunlight-like white light LED light source are not greatly different when the filters are used for testing, and the blue light illumination is difficult to distinguish for common consumers. If the blue light illumination between 470-490nm is adopted, although the illumination value difference is large, the influence of the power and distance of the detected light source is easily caused; meanwhile, on the other hand, the two different band-pass filters are adopted for testing, so that adverse effects caused by factors such as power, testing distance and the like of different tested light sources can be eliminated.

In order to draw the conclusion in the above identification method and the test details which should be noticed, the inventor uses mobile phones of different brands and different illumination software to respectively carry out comparison tests on prepared sunlight-like LED light sources and conventional LED light sources, and verifies that the test method provided by the invention is feasible. In the verification process, three types of mobile phones, namely mobile phone 1(VIVO Y6 model), mobile phone 2 (red rice) and mobile phone 3 (Hua is P8), are selected for comparison and test. Software 'light intensity meter' for free illumination test is downloaded and installed on the three types of mobile phones, and products serving as the comparison test at this time comprise: the reference piece 1 (known as a quasi-sunlight LED light source and excited by a blue light chip), the reference piece 2 (known as a quasi-sunlight LED light source and excited by a purple light chip), the conventional LED light source 1 (known as a non-quasi-sunlight LED light source) and the conventional LED light source 2 (known as a non-quasi-sunlight LED light source), wherein the conventional LED light source 1 and the conventional LED light source 2 are two different products randomly selected in the market. In the comparison test process, test data from the light source to the two optical filters at different distances are respectively selected for comparison and analysis, and the test data are shown in tables 1 to 6:

table 1: reference 1 and reference 2 data obtained by testing with mobile phone 1

Table 2: reference part 1 and reference part 2 are tested by mobile phone 2 to obtain data

Table 3: reference 1 and reference 2 are tested with mobile phone 3 to obtain data

Table 4: data obtained by testing the conventional LED light source 1 and the conventional LED light source 2 by using the mobile phone 1

Table 5: data obtained by testing the conventional LED light source 1 and the conventional LED light source 2 by using the mobile phone 2

Table 6: the conventional LED light source 1 and the conventional LED light source 2 use the mobile phone 3 to test the obtained data

In tables 1 to 6, the "illuminance 1" corresponding data is the illuminance value obtained under the first bandpass filter, and the "illuminance 2" corresponding data is the illuminance value obtained under the second bandpass filter. Analyzing and comparing the ratio of the illumination 1/the illumination 2 in the tables under different test distances from the same light source to the optical filter, it can be seen that under different test distances, the test data are relatively close as long as the obtained illumination value is greater than 10 lux, but the test data difference is obviously increased when the test illumination value is less than 10 lux, therefore, when the test method of the present invention is adopted, the test distance from each light source to each optical filter should be adjusted to satisfy the condition that the obtained illumination value is greater than 10 lux. For the accuracy of data statistics, the calculation of the average AVG of illuminance 1/illuminance 2 in tables 1 to 6 only calculates the average of data obtained at a distance of 30cm to 60 cm. It can be seen from the data in the tables that, for the result of calculating the illumination ratio of the same product, the data obtained by the mobile phones 1 and 3 are relatively close, while the data obtained by the mobile phone 2 are relatively large, and the main influence factor causing the difference of the data is related to the sensitivity of the mobile phone camera through analysisThe same mobile phone and the same illumination software are used, and the same judgment result can be obtained according to the judgment conditions given by the invention. It should be noted that, when determining the test distance between the light source and the filter, the following condition is satisfied: the test distance S between the reference piece 1 (or the reference piece 2) and the first band-pass filterN1The test distance from the reference 1 (or the reference 2) to the second band-pass filter is SN2, and SN1 is SN 2; the testing distance from the LED light source to be tested to the first band-pass filter is SM1, the testing distance from the LED light source to be tested to the second band-pass filter is SM2, and SM1 is SM 2; and, the illuminance value measured at the above-mentioned distance must be greater than 10 lux; SN 1-SN 2-SM 1-SM 2 or SN 1-SN 2-SM 1-SM 2.

When different products in the tables are respectively used as a reference piece and an LED light source to be detected, the M and N values in the tables and the proportional relation of the M and N values are analyzed and counted, and the final judgment condition is further determined, wherein the data are shown in the following tables 7 and 8:

table 7: when the reference piece 1 is taken as a reference piece (known sunlight-like light source) in the test method and the reference piece 2, the conventional LED light source 1 and the conventional LED light source 2 are respectively taken as LED light sources to be tested, the calculated M/N ratio data

Table 8: when the reference piece 2 is taken as a reference piece (known sunlight-like light source) in the test method and the reference piece 1, the conventional LED light source 1 and the conventional LED light source 2 are respectively taken as LED light sources to be tested, the calculated M/N ratio data

The N and M values in tables 7 and 8 are the AVG data of the mean value in the list of illuminance 1/illuminance 2 in tables 1 to 6, and the M/N data calculated in tables 7 and 8 indicates that, when the reference piece 1 or the reference piece 2 is used as the known sunlight-like light source in the test method, and another LED light source known as sunlight-like light source is used as the LED light source to be tested, the calculated M/N ratio is less than 1.4, and when the other two LED light sources known as the conventional LED light source are used as the LED light source to be tested, the calculated M/N ratio is greater than 2, considering that in the actual test process, the light difference of the environment where the user is located, the sensitivity difference of the used mobile phone camera, and the difference of different illuminance software may cause a certain data error, in order to make the final judgment condition more accurate, the invention determines the M/N calculation result as: when M/N is more than 1.4, the LED light source to be detected is a conventional LED light source, and when M/N is less than or equal to 1.4, the LED light source to be detected is a sunlight-like LED light source. The subsequent comparison tests under different conditions of the judgment condition verify that the value is appropriate, and the determination of the value is reasonable as a simple method capable of quickly distinguishing whether the LED light source is a sunlight-like LED light source.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

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