CN116222981A - Light source measurement system - Google Patents

Abstract

The utility model provides a light source measurement system, this system can reach the optical data measurement accuracy requirement of wavelength 1nm, because the wavelength precision of measurement is higher, make the data of the tristimulus value XYZ of the measured light source that calculate, color coordinates xy, illuminance Ev and the temperature TCP of these several parameters of the light source that obtain more accurate effective, need not the manual formula that carries the manual export of data and go the operation of complex formula after the manual repeated measurement of spectrometer, the manpower calculation time cost of engineer that can greatly increased like this, above-mentioned several parameters can all obtain the calculation through the automatic acquisition of a light source measurement system that this application provided, can save a lot of cost of labor like this, the accuracy of test data has been improved, can be quick accurate obtain each parameter of measured light source, whole test flow is whole automatic to be operated, need not the manual intervention, test efficiency of test engineer has been greatly improved, the engineer is liberated from complicated physical power, brain work.

Description

Light source measurement system

Technical Field

The application relates to the technical field of light source measurement, in particular to a light source measurement system.

Background

In the prior art, when some parameter indexes of a light source commonly used in a laboratory are required to be measured, manual measurement and analysis can only be performed through engineers, for example, the light source is lightened, the engineers manually hold a spectrometer to be close to the surface of the light source to be measured to measure, collect data, after collection is completed, the data stored in the spectrometer are manually led into a computer to be analyzed, the data precision of the collected light source to be measured can only reach the minimum of 5nm, inaccuracy of a calculation result can exist in the parameter data corresponding to the light source to be measured through manual measurement and calculation, the repeated test efficiency is low and inaccuracy is high, meanwhile, the workload of the engineers is greatly increased, because the whole process of obtaining the parameter values is manually completed, the workload is increased along with the increase of the number of the light source to be measured, a large part of time is occupied in the whole test flow, the efficiency and the accuracy of the whole test are seriously influenced, and the repeatability of measuring the parameters of the same light source are not very good, and the test environment of two times cannot be completely consistent due to the fact that the error exists in manual test. And meanwhile, engineers are required to have professional mathematics and accurate judgment capability, and the limitation and the requirement of a plurality of tests are increased intangibly.

Disclosure of Invention

An object of the application is to provide a light source measurement system, realized automatic measurement and calculate the data that the parameter of light source to be tested corresponds, not only can save a lot of cost of labor, still improved the accuracy of test data, can be quick accurate obtain each parameter of light source to be tested, whole test flow is whole automatic operation, need not manual intervention, has improved test engineer's efficiency of software testing greatly, liberates the engineer from complicated physical power, mental work.

According to one aspect of the present application, there is provided a light source measurement system comprising: the measuring equipment is arranged on the surface of the measured light source and comprises at least two light sensors composed of different continuous wave band sensitivities; wherein,,

the measured light source is lightened, and the light energy data corresponding to different wavelengths of the measured light source are collected cooperatively through the at least two light sensors;

performing normalization operation conversion on the light energy data corresponding to different wavelengths of the detected light source to obtain spectrum relative energy power distribution data corresponding to different wavelengths of the detected light source;

and calculating spectrum relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain tristimulus values XYZ, color coordinates xy, illuminance Ev and color temperature TCP of the measured light source.

Further, in the above light source measurement system, the calculating the spectrum relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain tristimulus values XYZ, color coordinates xy and color temperature TCP of the measured light source includes:

acquiring a spectrum tristimulus value CIE-XYZ corresponding to the measured light source;

the tristimulus values of the detected light source XYZ are obtained by multiplying and accumulating the spectrum tristimulus values CIE-XYZ corresponding to the detected light source and the spectrum relative energy power distribution data corresponding to different wavelengths of the detected light source respectively;

calculating tristimulus values XYZ of the detected light source to obtain a color coordinate xy of the detected light source;

and calculating the color coordinates xy of the measured light source to obtain the color temperature TCP of the measured light source.

Further, in the above light source measurement system, calculating the tristimulus values XYZ of the measured light source to obtain the color coordinates xy of the measured light source includes:

and calculating the proportion of the tristimulus values XYZ of the measured light source in the XYZ sum through the corresponding X, Y to obtain the color coordinate xy of the measured light source.

Further, in the above light source measurement system, the calculating the color coordinate xy of the measured light source to obtain the color temperature TCP of the measured light source includes:

calculating the color coordinates xy of the measured light source to obtain an index coefficient n for calculating the color temperature, wherein the calculation formula of the index coefficient n is as follows:

(x-0.332)/(y-0.1858)；

and calculating an index equation of the index coefficient n to obtain a color temperature TCP of the measured light source, wherein the calculation formula of the color temperature TCP of the measured light source is as follows:

TCP＝-437*n^3+3601*n^2-6861*n+5514.31。

further, in the above light source measurement system, the calculating the spectral relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain the illuminance Ev and the color temperature TCP of the measured light source includes:

acquiring a visual function vision corresponding to the tested light source;

and multiplying the visual function vision corresponding to the tested light source by a preset illumination coefficient after multiplying and accumulating and summing the visual function vision corresponding to the tested light source and the spectrum relative energy power distribution data corresponding to the different wavelengths respectively to obtain the illumination Ev of the tested light source.

Compared with the prior art, the light source measurement system that this application provided, this system includes: the measuring equipment is arranged on the surface of the measured light source and comprises at least two light sensors composed of different continuous wave band sensitivities; the method comprises the steps of lighting a tested light source, and cooperatively collecting light energy data corresponding to different wavelengths of the tested light source through at least two light sensors; performing normalization operation conversion on the light energy data corresponding to different wavelengths of the detected light source to obtain spectrum relative energy power distribution data corresponding to different wavelengths of the detected light source; and calculating spectrum relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain tristimulus values XYZ, color coordinates xy, illuminance Ev and color temperature TCP of the measured light source. In the application, the problem that the data wavelength precision of the light energy corresponding to different wavelengths collected by the existing spectrometer can only reach the precision of the minimum 5nm in the light source measurement field at present is solved, the light source measurement system provided by the application can meet the light data measurement precision requirement of the wavelength of 1nm, the measured wavelength precision is higher, the calculated data of the parameters of the tristimulus value XYZ, the color coordinate xy, the illuminance Ev and the color temperature TCP of the measured light source are more accurate and effective, the manual operation of manually deriving the data through a complex formula after manual repeated measurement by the spectrometer is not needed, the manual calculation time cost of an engineer is greatly increased, the parameters can be automatically obtained through the light source measurement system provided by the application, so that a lot of labor cost can be saved, the precision of test data is improved, the parameters of the measured light source can be quickly and accurately obtained, the whole test is automatically operated, the labor is not needed, the efficiency of the test engineering is greatly improved, and the manual intervention is greatly improved, and the manual labor is greatly released from the manual labor of the engineer.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings, in which:

fig. 1 is a schematic diagram illustrating a testing process of a light source measurement system in a practical application scenario according to an aspect of the present application.

The same or similar reference numbers in the drawings refer to the same or similar parts.

Detailed Description

The present application is described in further detail below with reference to the accompanying drawings.

In one typical configuration of the present application, the terminal, the device of the service network, and the trusted party each include one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.

Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer readable media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.

With the increasing demands of the domestic optical laboratory for measuring and calibrating parameters of various light sources used for testing, a measurement scheme capable of accurately and efficiently completing automatic measurement of parameters of the light sources has been developed, a test engineer can automatically calculate and obtain several parameter values of tristimulus values XYZ, color coordinates xy, illuminance Ev and color temperature TCP of the measured light sources by using the automatic light source measurement system, the engineer is not required to spend great labor and time to manually calculate the several parameter data, the engineer is prevented from spending a great deal of time to calculate and judge to obtain inaccurate parameter data, and the minimum 1nm data acquisition precision can be achieved by adopting the measurement system, so that the calculated parameters of the measured light sources are more accurate, the work load of the engineer and the accuracy of the measured parameter data can be greatly reduced by adopting the light source measurement system, the test efficiency of the test engineer is greatly improved, and the engineer is liberated from the complex physical and mental labor.

In one aspect of the present application, a light source measurement system is provided, and the implementation software of the system may include, but is not limited to, implementation by a development language such as c++. The system comprises: the measuring equipment is arranged on the surface of the measured light source and comprises at least two light sensors composed of different continuous wave band sensitivities; in the process of testing the tested light source, firstly, the tested light source is lightened, and light energy data corresponding to different wavelengths of the tested light source are collected cooperatively through the at least two light sensors; then, carrying out normalization operation conversion on the light energy data corresponding to different wavelengths of the tested light source to obtain spectrum relative energy power distribution data corresponding to different wavelengths of the tested light source; finally, the spectrum relative energy power distribution data corresponding to different wavelengths of the measured light source are calculated, so that tristimulus values XYZ, color coordinates xy, illuminance Ev and color temperature TCP of the measured light source are obtained, the accuracy of the data collection wavelength of the light source can reach the minimum accuracy of 1nm, the tristimulus values XYZ, the color coordinates xy, the illuminance Ev and the color temperature TCP of the measured light source can be automatically calculated, the whole measuring system is automatically realized, manual participation is not needed, the measuring efficiency of light source measurement is greatly improved, and the labor cost is reduced.

Next, in the foregoing embodiment of the present application, the calculating the spectral relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain tristimulus values XYZ, color coordinates xy and color temperature TCP of the measured light source specifically includes:

acquiring a spectrum tristimulus value CIE-XYZ corresponding to the measured light source;

the tristimulus values of the detected light source XYZ are obtained by multiplying and accumulating the spectrum tristimulus values CIE-XYZ corresponding to the detected light source and the spectrum relative energy power distribution data corresponding to different wavelengths of the detected light source respectively;

calculating tristimulus values XYZ of the detected light source to obtain a color coordinate xy of the detected light source;

and calculating the color coordinates xy of the measured light source to obtain the color temperature TCP of the measured light source.

For example, if the obtained spectral tristimulus values CIE-XYZ corresponding to different wavelengths of the measured light source are A1, A2, A3, … … a (m-1) and Am, respectively, and the spectral relative energy power distribution data corresponding to different wavelengths of the measured light source are V1, V2, V3, … … V (m-1) and Vm, respectively, then the spectral tristimulus values CIE-XYZ corresponding to the measured light source are used: spectral relative energy power distribution data corresponding to different wavelengths of the measured light source for A1, A2, A3, … … A (m-1) and Am, respectively: a1, A2, A3, … … A (m-1) and Am are multiplied and accumulated and summed to obtain the tristimulus values XYZ of the measured light source as the following formula:

the tristimulus values xyz=a1+a2+v2+a3+v3+ … … +a (m-1) V (m-1) +am of the light source to be measured.

Then, continuing to calculate tristimulus values XYZ of the detected light source to obtain color coordinates xy of the detected light source; and then, the color coordinates xy of the detected light source can be calculated to obtain the color temperature TCP of the detected light source, so that the calculation and the determination of three parameters, namely the tristimulus value XYZ, the color coordinates xy and the color temperature TCP of the detected light source are realized.

In this embodiment, the calculating the tristimulus values XYZ of the measured light source to obtain the color coordinates xy of the measured light source specifically includes:

and calculating the proportion of the tristimulus values XYZ of the measured light source in the XYZ sum through the corresponding X, Y to obtain the color coordinate xy of the measured light source. For example, x=x/(x+y+z) in the color coordinates xy of the measured light source, and y=y/(x+y+z) in the color coordinates xy of the measured light source, thereby obtaining the color coordinates xy of the measured light source.

In this embodiment, the calculating the color coordinate xy of the measured light source to obtain the color temperature TCP of the measured light source specifically includes:

calculating the color coordinates xy of the measured light source to obtain an index coefficient n for calculating the color temperature, wherein the calculation formula of the index coefficient n is as follows:

(x-0.332)/(y-0.1858)；

and calculating an index equation of the index coefficient n to obtain a color temperature TCP of the measured light source, wherein the calculation formula of the color temperature TCP of the measured light source is as follows:

tcp= -437 x 3+3601 x n 2-6861 x n +5514.31, the color temperature TCP of the measured light source is calculated based on the color coordinates xy of the measured light source.

Next, in the foregoing embodiments of the present application, the calculating the spectral relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain the illuminance Ev and the color temperature TCP of the measured light source specifically includes: acquiring a visual function vision corresponding to the tested light source; and multiplying the visual function vision corresponding to the tested light source by a preset illumination coefficient after multiplying and accumulating and summing the visual function vision corresponding to the tested light source and the spectrum relative energy power distribution data corresponding to the different wavelengths respectively, so as to obtain the illumination Ev of the tested light source, and calculating and determining the illumination Ev of the tested light source.

In order to solve the problem that the measurement of the parameter data of some light sources required for testing in the existing optical laboratory can only be achieved by manually removing measurement and then introducing data for calculation, and the minimum accuracy of the collected light source data wavelength can only reach 5nm, one aspect of the application provides a light source measurement system. As shown in fig. 1, a measurement process of a light source measurement system in an actual application scenario is provided for an aspect of the present application, and specific steps are as follows:

step 1, a tested light source is lightened, and measuring equipment required by measurement is placed on the surface of the tested light source;

step 2, a plurality of light sensors consisting of sensitivities in different continuous wave bands in the measuring equipment cooperatively collect light energy data which correspond to different wavelengths (including but not limited to 380nm-780nm in wavelength range and 1nm in precision) of a measured light source and are used for reflecting the light energy;

step 3, converting the light energy data corresponding to different wavelengths of the detected light source collected in the step 2 into spectrum relative energy power distribution data corresponding to different wavelengths through normalization operation;

step 4, calculating the tristimulus values XYZ of the measured light source by multiplying and accumulating and summing the spectral tristimulus values CIE-XYZ corresponding to the measured light source with the spectral relative energy power distribution data corresponding to different wavelengths of the measured light source respectively;

step 5, calculating the value of the color coordinate xy of the measured light source by the tristimulus value XYZ of the measured light source through the corresponding proportion of X, Y in the sum of XYZ;

step 6, multiplying the visual function vision corresponding to the measured light source and the spectrum relative energy power distribution data corresponding to the measured light source, accumulating and summing, and multiplying the multiplied data by a preset illumination coefficient to calculate the illumination Ev of the measured light source;

step 7, the xy value of the color coordinates of the measured light source calculated according to the step 5 is calculated according to the formula: (x-0.332)/(y-0.1858) to obtain an index coefficient n, and then calculating the color temperature TCP of the measured light source according to an index equation of the index coefficient n, wherein the calculation formula of the color temperature TCP of the measured light source is as follows: tcp= -437 x n 3+3601 x n 2-6861 x n +5514.31.

In summary, the present application provides a light source measurement system, which includes: the measuring equipment is arranged on the surface of the measured light source and comprises at least two light sensors composed of different continuous wave band sensitivities; the method comprises the steps of lighting a tested light source, and cooperatively collecting light energy data corresponding to different wavelengths of the tested light source through at least two light sensors; performing normalization operation conversion on the light energy data corresponding to different wavelengths of the detected light source to obtain spectrum relative energy power distribution data corresponding to different wavelengths of the detected light source; and calculating spectrum relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain tristimulus values XYZ, color coordinates xy, illuminance Ev and color temperature TCP of the measured light source. In the application, the problem that the data wavelength precision of the light energy corresponding to different wavelengths collected by the existing spectrometer can only reach the precision of the minimum 5nm in the light source measurement field at present is solved, the light source measurement system provided by the application can meet the light data measurement precision requirement of the wavelength of 1nm, the measured wavelength precision is higher, the calculated data of the parameters of the tristimulus value XYZ, the color coordinate xy, the illuminance Ev and the color temperature TCP of the measured light source are more accurate and effective, the manual operation of manually deriving the data through a complex formula after manual repeated measurement by the spectrometer is not needed, the manual calculation time cost of an engineer is greatly increased, the parameters can be automatically obtained through the light source measurement system provided by the application, so that a lot of labor cost can be saved, the precision of test data is improved, the parameters of the measured light source can be quickly and accurately obtained, the whole test is automatically operated, the labor is not needed, the efficiency of the test engineering is greatly improved, and the manual intervention is greatly improved, and the manual labor is greatly released from the manual labor of the engineer.

It should be noted that the present application may be implemented in software and/or a combination of software and hardware, for example, using Application Specific Integrated Circuits (ASIC), a general purpose computer or any other similar hardware device. In one embodiment, the software programs of the present application may be executed by a processor to implement the steps or functions as described above. Likewise, the software programs of the present application (including associated data structures) may be stored on a computer readable recording medium, such as RAM memory, magnetic or optical drive or diskette and the like. In addition, some steps or functions of the present application may be implemented in hardware, for example, as circuitry that cooperates with the processor to perform various steps or functions.

Furthermore, portions of the present application may be implemented as a computer program product, such as computer program instructions, which when executed by a computer, may invoke or provide methods and/or techniques in accordance with the present application by way of operation of the computer. Program instructions for invoking the methods of the present application may be stored in fixed or removable recording media and/or transmitted via a data stream in a broadcast or other signal bearing medium and/or stored within a working memory of a computer device operating according to the program instructions. An embodiment according to the present application comprises an apparatus comprising a memory for storing computer program instructions and a processor for executing the program instructions, wherein the computer program instructions, when executed by the processor, trigger the apparatus to operate a method and/or a solution according to the embodiments of the present application as described above.

It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is evident that the word "comprising" does not exclude other elements or steps, and that the singular does not exclude a plurality. A plurality of units or means recited in the apparatus claims can also be implemented by means of one unit or means in software or hardware. The terms first, second, etc. are used to denote a name, but not any particular order.

Claims (5)

1. A light source measurement system, wherein the system comprises: the measuring equipment is arranged on the surface of the measured light source and comprises at least two light sensors composed of different continuous wave band sensitivities; wherein,,

the measured light source is lightened, and the light energy data corresponding to different wavelengths of the measured light source are collected cooperatively through the at least two light sensors;

performing normalization operation conversion on the light energy data corresponding to different wavelengths of the detected light source to obtain spectrum relative energy power distribution data corresponding to different wavelengths of the detected light source;

and calculating spectrum relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain tristimulus values XYZ, color coordinates xy, illuminance Ev and color temperature TCP of the measured light source.

2. The system according to claim 1, wherein the calculating the spectral relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain tristimulus values XYZ, color coordinates xy, and color temperature TCP of the measured light source includes:

acquiring a spectrum tristimulus value CIE-XYZ corresponding to the measured light source;

the tristimulus values of the detected light source XYZ are obtained by multiplying and accumulating the spectrum tristimulus values CIE-XYZ corresponding to the detected light source and the spectrum relative energy power distribution data corresponding to different wavelengths of the detected light source respectively;

calculating tristimulus values XYZ of the detected light source to obtain a color coordinate xy of the detected light source;

and calculating the color coordinates xy of the measured light source to obtain the color temperature TCP of the measured light source.

3. The system of claim 2, wherein calculating tristimulus values XYZ of the measured light source to obtain color coordinates xy of the measured light source includes:

and calculating the proportion of the tristimulus values XYZ of the measured light source in the XYZ sum through the corresponding X, Y to obtain the color coordinate xy of the measured light source.

4. A system according to claim 2 or 3, wherein said calculating the color coordinates xy of the measured light source to obtain the color temperature TCP of the measured light source comprises:

calculating the color coordinates xy of the measured light source to obtain an index coefficient n for calculating the color temperature, wherein the calculation formula of the index coefficient n is as follows:

(x-0.332)/(y-0.1858)；

and calculating an index equation of the index coefficient n to obtain a color temperature TCP of the measured light source, wherein the calculation formula of the color temperature TCP of the measured light source is as follows:

TCP＝-437*n^3+3601*n^2-6861*n+5514.31。

5. the system according to claim 1, wherein the calculating the spectral relative energy power distribution data corresponding to different wavelengths of the measured light source to obtain the illuminance Ev and the color temperature TCP of the measured light source includes:

acquiring a visual function vision corresponding to the tested light source;

and multiplying the visual function vision corresponding to the tested light source by a preset illumination coefficient after multiplying and accumulating and summing the visual function vision corresponding to the tested light source and the spectrum relative energy power distribution data corresponding to the different wavelengths respectively to obtain the illumination Ev of the tested light source.

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