CN-121632529-B - Lighting fixture light source efficiency testing method and system

CN121632529BCN 121632529 BCN121632529 BCN 121632529BCN-121632529-B

Abstract

The invention relates to the technical field of photoelectric testing, and discloses a method and a system for testing the light source efficiency of a lighting fixture, wherein the method uses a uniform angle grid to scan and sample a light source to obtain an initial light intensity sample set; the method comprises the steps of calculating the light intensity gradient change between the adjacent sampling points in space based on the set, identifying the area with the light intensity gradient change exceeding a threshold value as a high variation area, then carrying out self-adaptive encryption sampling in the high variation area to obtain a supplementary light intensity sample, fusing the supplementary light intensity sample with an initial sample to form a high-quality three-dimensional light intensity data set, calculating the total luminous flux based on the data set through numerical integration, determining a target illumination area according to an actual application scene, calculating the local luminous flux of the area, and finally taking the ratio of the local luminous flux to the total luminous flux as a light source efficiency index. According to the method, through intelligent identification and local encryption, the accuracy of measurement accuracy and energy utilization efficiency evaluation of a high variation area is effectively improved while the overall test efficiency is ensured.

Inventors

LIU WEIJIA
FU JINLIN
WANG MENGMENG
WEI BINGBING
WANG WEIHONG
PAN RUAN
WU XUJIA
LIU YI
DAI WEIHUI
WANG XIAOFEI

Assignees

苏州市产品质量监督检验院(苏州市质量认证中心)
苏州市产品质量检验院有限公司

Dates

Publication Date: 20260512
Application Date: 20260204

Claims (9)

1. The method for testing the efficiency of the light source of the lighting fixture is characterized by comprising the following steps: scanning and sampling the illumination device light source by using a uniform angle grid to obtain an initial light intensity sample set; calculating the light intensity gradient change value between the adjacent sampling points of the space according to the initial light intensity sample set, and identifying the area of which the light intensity gradient change value exceeds a threshold value as a high variation area; the high variation area is adaptively encrypted and sampled to obtain a supplementary light intensity sample, and the supplementary light intensity sample and the initial light intensity sample set are fused to obtain a three-dimensional light intensity data set; calculating a total luminous flux of the luminaire light source based on the three-dimensional light intensity dataset; Acquiring a target illumination area of the lighting fixture in an application scene, calculating local luminous flux of the target illumination area based on the three-dimensional light intensity data set, and calculating the ratio of the local luminous flux to the total luminous flux as the light source efficiency of the lighting fixture; The method comprises the steps of calculating the light intensity gradient change value between the adjacent sampling points in space according to the initial light intensity sample set, calculating the light intensity difference between the sampling points and the adjacent sampling points in the horizontal direction under the spherical coordinate system according to each sampling point in the uniform angle grid to obtain a first light intensity difference, calculating the light intensity difference between the sampling points and the adjacent sampling points in the vertical direction to obtain a second light intensity difference, and determining the light intensity gradient change value between the adjacent sampling points in space according to the following modes: ; Wherein I represents a sampling point sequence number, gi represents a light intensity gradient change value of the sampling point I, deltaI Ci represents a first light intensity difference of the sampling point I, deltaC i represents an angle difference between the sampling point I and a sampling point adjacent to the sampling point in the horizontal direction; a second light intensity difference representing the sampling point i; representing the angular difference between the sampling point i and the adjacent sampling point in the vertical direction; Representing the average change rate of the light intensity of the sampling point i in the horizontal direction; the average rate of change of the light intensity of the sampling point i in the vertical direction is represented.
2. The method of claim 1, wherein identifying the region where the intensity gradient change value exceeds the threshold as a high variance region comprises: screening out sampling points with the light intensity gradient change value exceeding a first threshold value based on the light intensity gradient change values of all the initial sampling points to obtain a sampling point set; Iteratively combining adjacent sampling points meeting a continuity criterion according to the continuity of the light intensity gradient change value between each sampling point and the space adjacent sampling points by taking each sampling point in the sampling point set as a starting point to obtain one or more initial coherent regions; Calculating average light intensity gradient change values of all sampling points in the initial continuous region, and judging the initial continuous region with the average light intensity gradient change value exceeding a second threshold value as the high variation region, wherein the second threshold value is smaller than the first threshold value.
3. The method according to claim 1, wherein the adaptive encryption sampling comprises dynamically allocating the density of the encryption sampling points according to the average light intensity gradient change value in the high variation region for each high variation region, wherein the higher the average light intensity gradient change value is, the higher the encryption sampling point density is.
4. A method of testing the efficiency of a light source of a lighting fixture as recited in claim 1, wherein calculating a total luminous flux of the light source of the lighting fixture based on the three-dimensional light intensity dataset comprises: Dividing spherical space radiated by the light source of the lighting fixture into a high-density sampling area and a low-density sampling area according to the space density distribution of sampling points; Calculating the luminous flux of the high-density sampling area according to a high-order numerical integration method to obtain luminous flux I; Calculating the luminous flux of the low-density sampling area according to a low-order value integration method to obtain luminous flux II; And calculating the sum of the first luminous flux and the second luminous flux to obtain the total luminous flux.
5. A lighting fixture light source efficiency test method as recited in claim 4, wherein said higher order numerical integration method comprises: according to the three-dimensional space coordinates of sampling points in the high-density sampling area, performing spherical Delaunay triangulation to generate triangular grids, wherein each triangle in the triangular grids takes three sampling points as vertexes; Calculating the sub-luminous flux of each triangle in the triangular mesh according to the light intensity measured values at the three vertexes of the triangle; summing up the sub-luminous fluxes of all the triangles in the triangular mesh to obtain first luminous flux; The calculation mode of the sub-luminous flux phi is as follows: ; Phi represents the sub-luminous flux, A represents the area of the triangle on the unit sphere, and I1, I2, I3 represent the intensity measurements at the three vertices of the triangle, respectively.
6. The method of claim 4, wherein the low-order numerical integration method comprises: dividing the low-density sampling area into a plurality of Voronoi cells, wherein each Voronoi cell is associated with one sampling point; multiplying the light intensity measured value at each sampling point by the area of the Voronoi unit cell associated with the sampling point on the unit sphere to obtain the single-point luminous flux of the sampling point; And summing the single-point luminous fluxes of all the sampling points in the low-density sampling area to obtain the luminous flux II.
7. The method according to claim 1, wherein calculating the local luminous flux of the target illumination area based on the three-dimensional light intensity data set comprises multiplying light intensity measurement values of all sampling points falling within a solid angle range corresponding to the target illumination area by solid angles represented by the sampling points, respectively, and adding all the product results to obtain the local luminous flux.
8. The method of claim 1, further comprising controlling the luminaire to warm up to a steady state prior to scanning sampling, the steady state being defined as a fluctuation of a total luminous flux of the luminaire over a continuous plurality of sampling periods being less than a fluctuation threshold.
9. A lighting fixture light source efficiency test system, comprising: The scanning sampling module is used for scanning and sampling the illumination device light source by using the uniform angle grid to obtain an initial light intensity sample set; The region identification module is used for calculating the light intensity gradient change value between the adjacent sampling points of the space according to the initial light intensity sample set and identifying a region with the light intensity gradient change value exceeding a threshold value as a high variation region; The self-adaptive sampling module performs self-adaptive encryption sampling on the high variation area to obtain a supplementary light intensity sample; The data fusion module fuses the supplementary light intensity sample and the initial light intensity sample set to obtain a three-dimensional light intensity data set; The light source efficiency processing module calculates the total luminous flux of the light source of the lighting fixture and the local luminous flux of a target lighting area based on the three-dimensional light intensity data set, and calculates the ratio of the local luminous flux to the total luminous flux to obtain the light source efficiency of the lighting fixture; The method comprises the steps of calculating the light intensity gradient change value between the adjacent sampling points in space according to the initial light intensity sample set, calculating the light intensity difference between the sampling points and the adjacent sampling points in the horizontal direction under the spherical coordinate system according to each sampling point in the uniform angle grid to obtain a first light intensity difference, calculating the light intensity difference between the sampling points and the adjacent sampling points in the vertical direction to obtain a second light intensity difference, and determining the light intensity gradient change value between the adjacent sampling points in space according to the following modes: ; Wherein I represents a sampling point sequence number, gi represents a light intensity gradient change value of the sampling point I, deltaI Ci represents a first light intensity difference of the sampling point I, deltaC i represents an angle difference between the sampling point I and a sampling point adjacent to the sampling point in the horizontal direction; a second light intensity difference representing the sampling point i; representing the angular difference between the sampling point i and the adjacent sampling point in the vertical direction; Representing the average change rate of the light intensity of the sampling point i in the horizontal direction; the average rate of change of the light intensity of the sampling point i in the vertical direction is represented.

Description

Lighting fixture light source efficiency testing method and system Technical Field The invention relates to the technical field of photoelectric testing, in particular to a method and a system for testing the light source efficiency of a lighting fixture. Background The light source efficiency reflects not only the overall ability of the electrical energy to be converted into light energy, but also the ability of the optical system to efficiently distribute light energy to the target illumination area, i.e., the effective light utilization. Currently, the mainstream light source efficiency testing method in industry relies on an integrating sphere system, and the total luminous flux emitted by the light source to be tested is measured by placing the light source into the integrating sphere, so that the method has the advantages of simplicity and convenience in operation and rapidness in measurement, and is widely used for factory inspection and basic authentication of products. However, the integrating sphere method has a fundamental technical limitation that it can only provide a total luminous flux value, and cannot obtain information on the distribution of light rays in a three-dimensional space. In fact, most of lighting apparatuses, especially products with optical elements such as lenses and reflectors, emit light with complicated nonuniform distribution in all directions of space, and only by means of total luminous flux data, research and development and testing personnel are difficult to judge the actual regulation and control effects of the optical devices on the light, and cannot distinguish how much light is accurately projected to an area needing to be illuminated and how much light is wasted in a non-target direction, so that evaluation of the actual efficiency or the light distribution efficiency of the light source is lost, and the test result cannot provide effective feedback for accurate optimization of optical design. In order to acquire spatial light distribution information, a distribution photometer has been introduced in the industry, which draws a light distribution curve by systematically rotating a light source in a three-dimensional space and measuring light intensity point by point, and can calculate total luminous flux by numerical integration. However, in practice, this method faces a contradiction that it is difficult to achieve both measurement accuracy and measurement efficiency. In order to ensure accuracy, particularly in order to capture the area (such as the beam edge and the cut-off line) where the light intensity changes rapidly in the light distribution curve, dense angular sampling is required, which leads to exponential increase of measurement time, huge data volume and difficulty in meeting the requirement of rapid detection on a production line. On the contrary, if a sparse sampling grid is adopted to improve the efficiency, key details may be omitted, so that the calculated total luminous flux is inaccurate, the drawn light distribution curve is distorted, and finally, the efficiency of energy space distribution still cannot be reliably evaluated. Disclosure of Invention Therefore, the invention aims to overcome the defects that the precision and the efficiency of the measurement of the spatial light distribution are difficult to be compatible and the effective illumination efficiency cannot be accurately quantified when the light source efficiency of the lighting fixture is tested in the prior art, and provides a method and a system for testing the light source efficiency of the lighting fixture, which acquire the spatial light intensity distribution profile based on the preliminary scanning of a uniform angle grid, and identifying a light intensity rapid change area by utilizing numerical gradient calculation and a threshold criterion, and executing variable encryption sampling only in the light intensity rapid change area, thereby effectively improving the measurement accuracy of a key area while guaranteeing the overall measurement efficiency, calculating the total luminous flux and the local luminous flux of a target area based on the obtained non-uniform three-dimensional light intensity data, and finally obtaining the light source efficiency index truly reflecting the effective light energy utilization rate of the light source. In order to solve the above technical problems, the present invention provides a method for testing the efficiency of a light source of a lighting apparatus, including: scanning and sampling the illumination device light source by using a uniform angle grid to obtain an initial light intensity sample set; calculating the light intensity gradient change value between the adjacent sampling points of the space according to the initial light intensity sample set, and identifying the area of which the light intensity gradient change value exceeds a threshold value as a high variation area; the high variation area is adaptively encrypted