Light source selection method and device based on transparency of gouache pigment, equipment and medium

Abstract

The application provides a light source selection method and device based on chroma pigment transmittance, equipment and medium, which can be applied to the fields of cultural relic protection and spectral analysis technology. The light source selection method based on chroma pigment transmittance comprises the following steps: acquiring spectral power distribution of a plurality of candidate light sources for illuminating a painted cultural relic, and a plurality of pigment types of a target chroma part on the painted cultural relic and thicknesses of pigment layers corresponding to the plurality of pigment types; selecting a target spectral transmittance model of each of the plurality of pigment types according to the identification of the plurality of pigment types; inputting the spectral power distribution and the thicknesses of the pigment layers into the target spectral transmittance model of each of the pigment types to output spectral transmittance of each of the pigment types to the candidate light sources; predicting transmission power of the candidate light sources through the pigment layers according to the spectral transmittance of each of the pigment types and the spectral power distribution of the candidate light sources; and selecting a target light source according to the transmission power.

Description

Technical Field

[0001] This invention relates to the fields of cultural relic protection and spectral analysis technology, specifically to a method, apparatus, equipment, and medium for selecting a light source based on the transmittance of colored pigments in painting. Background Technology

[0002] Ancient architectural painted decorations are an important part of Chinese cultural heritage, and painted artifacts, represented by these decorations, possess extremely high historical and artistic value. Ancient architectural painted decorations generally consist of three layers: a wooden base layer, a ground layer, and a pigment layer. The ground layer is made of animal glue, blood pigments, and fibrous materials. Over time, ancient architectural painted decorations face complex preservation environments and threats of disease, especially the deterioration of the ground layer. Furthermore, in recent years, light-emitting diode (LED) lighting technology has been introduced for exhibition and ambient lighting of ancient architectural painted decorations. The wavelengths emitted by LED light sources may further damage the painted decorations.

[0003] In order to protect painted cultural relics such as ancient architectural paintings, it is necessary to select suitable lighting sources. However, the selection of lighting sources is currently based on the fading and discoloration of the pigment layers of painted cultural relics, making it difficult to accurately and effectively select lighting sources that can protect painted cultural relics, and thus making it difficult to avoid damage to painted cultural relics. Summary of the Invention

[0004] In view of the above problems, the present invention provides a method, apparatus, equipment and medium for selecting a light source based on the transmittance of painted pigments, which can effectively reduce the damage caused by lighting sources to painted cultural relics such as ancient architectural paintings by improving the effectiveness and accuracy of light source selection.

[0005] One aspect of the present invention provides a method for selecting a light source based on the transmittance of painted pigments, comprising: acquiring the spectral power distribution of multiple candidate light sources for illuminating painted cultural relics, as well as multiple pigment types and the thickness of the pigment layer corresponding to the multiple pigment types on the target painted part of the painted cultural relics, wherein the spectral power distribution represents the irradiance of the candidate light sources at different wavelengths; selecting target spectral transmittance models for each of the multiple pigment types from a pre-constructed set of spectral transmittance models according to the identifiers of the multiple pigment types, wherein the target spectral transmittance models characterize the relationship between spectral transmittance and the wavelength of the light source and the thickness of the pigment layer corresponding to the pigment type under the influence of the pigment type; inputting the spectral power distribution of the candidate light sources and the thickness of the pigment layer corresponding to each pigment type into the target spectral transmittance model for each pigment type, and outputting the spectral transmittance of each pigment type to the candidate light sources; predicting the transmission power of the candidate light sources through the pigment layer of the target painted part based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light sources; and selecting a target light source from multiple candidate light sources based on the transmission power.

[0006] According to an embodiment of the present invention, predicting the transmission power of a candidate light source through the pigment layer of a target painted area based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source includes: predicting the sub-transmission power of the candidate light source for each pigment type based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source; determining the pigment weight of each pigment type based on the ratio of the area of ​​the color patch occupied by the color displayed by each pigment type in the target painted area to the total area of ​​the color patch in the target painted area; and obtaining the transmission power based on the pigment weight of each pigment type and the sub-transmission power of the candidate light source for each pigment type.

[0007] According to an embodiment of the present invention, predicting the sub-transmission power of a candidate light source for each pigment type based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source includes: obtaining a preset illumination band, which is determined based on the lighting protection request of the painted cultural relic; and obtaining the sub-transmission power based on the transmission power generated within the preset illumination band by the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source.

[0008] According to an embodiment of the present invention, selecting a target light source from a plurality of candidate light sources based on transmission power includes: evaluating the predicted degree of illumination damage to painted cultural relics by the plurality of candidate light sources based on transmission power; and selecting a candidate light source corresponding to the degree of illumination damage that meets predetermined conditions as the target light source.

[0009] According to an embodiment of the present invention, the spectral transmittance model in the spectral transmittance model set is constructed in the following manner: Multiple pigment samples are tested using a spectral measurement device equipped with a test light source to obtain raw test data corresponding to the multiple pigment samples; within the test range of the spectral measurement device, the distribution characteristic values ​​of the raw test data are determined, and the distribution characteristic values ​​of the raw test data are hierarchically divided according to a preset hierarchical interval to obtain the division result; based on the respective characteristic values ​​of the raw test data and the division result, the transmittance of the pigment samples is analyzed, and a modeling relationship is determined with the wavelength of the test light source and the thickness of the pigment sample as independent variables and the spectral transmittance as the dependent variable; according to the modeling relationship, the raw test data is fitted to obtain the spectral transmittance model.

[0010] According to an embodiment of the present invention, multiple pigment samples are prepared by: mixing a binder with a target solvent to obtain a binder liquid, and keeping the binder liquid in a water bath at a preset temperature; mixing multiple pigments with the binder liquid and grinding them to obtain a mixture; and coating the mixture onto a substrate using a coater so that the mixture forms a pigment coating of a preset thickness on the substrate to obtain a pigment sample.

[0011] According to an embodiment of the present invention, a spectral measurement device equipped with a test light source is used to test multiple pigment samples to obtain raw test data corresponding to the multiple pigment samples. The method includes: under the condition that the measurement device is running idle for a preset time, placing a reference substrate identical to the substrate of the pigment sample into the sample optical path of the measurement device chamber, and scanning the reference substrate with the test light source to perform baseline calibration of the measurement device. The scanning wavelength range includes 185~1400nm. After the measurement device has completed baseline calibration, placing the pigment sample in the sample optical path, and scanning the pigment sample with the test light source to obtain raw test data.

[0012] Another aspect of the present invention provides a light source selection device based on the transmittance of a painted pigment layer, comprising: an acquisition module for acquiring the spectral power distribution of multiple candidate light sources for illuminating painted cultural relics, as well as multiple pigment types and the thickness of the pigment layer corresponding to the multiple pigment types on the target painted part of the painted cultural relics, wherein the spectral power distribution represents the irradiance of the candidate light sources at different wavelengths; a first selection module for selecting target spectral transmittance models for each of the multiple pigment types from a pre-constructed set of spectral transmittance models based on the identifiers of the multiple pigment types, wherein the target spectral transmittance models characterize the relationship between spectral transmittance and the wavelength of the light source and the thickness of the pigment layer corresponding to the pigment type under the influence of the pigment type; an input module for inputting the spectral power distribution of the candidate light sources and the thickness of the pigment layer corresponding to each pigment type into the target spectral transmittance model of each pigment type, and outputting the spectral transmittance of each pigment type to the candidate light sources; a prediction module for predicting the transmission power of the candidate light sources through the pigment layer of the target painted part based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light sources; and a second selection module for selecting a target light source from multiple candidate light sources based on the transmission power.

[0013] Another aspect of the present invention provides an electronic device, comprising: one or more processors; and a memory for storing one or more computer programs, characterized in that the one or more processors execute the one or more computer programs to implement the steps of the above-described method.

[0014] Another aspect of the present invention provides a computer-readable storage medium having a computer program or instructions stored thereon, characterized in that the computer program or instructions, when executed by a processor, implement the steps of the above-described method.

[0015] According to an embodiment of the present invention, the spectral power distributions of multiple candidate light sources and the various pigment types and pigment layer thicknesses of the target painted area on the painted cultural relic are obtained. Based on the pigment type identification, a target spectral transmittance model is selected. The spectral power distributions of the candidate light sources and the pigment layer thicknesses are input into the target spectral transmittance model, and the spectral transmittance of each pigment type to the candidate light source is output. Based on the spectral transmittance and the spectral power distribution of the candidate light sources, the transmission power of the candidate light sources through the pigment layer is predicted. The target light source is selected from multiple candidate light sources based on the transmission power. Since the spectral transmittance models of different pigments are used to process the spectral power distributions of the candidate light sources and the pigment layer thicknesses of different pigment types during the light source selection process, not only can the influence of pigment type on the spectral transmittance of the candidate light source be analyzed, but also the influence of pigment layer thickness on the spectral transmittance of the candidate light source can be analyzed. Based on the transmittance of the pigment type to the candidate light source, combined with the spectral power distribution of the candidate light source, the transmission power of the candidate light source through the pigment layer can be simulated and quantified. Based on the transmission power through the pigment layer, the candidate light source corresponding to the lowest characteristic value of transmission power can be selected as the target light source that causes the least damage to the painted cultural relic. By selecting the target light source based on the simulated and quantified transmission power of candidate light sources through the pigment layer, the accuracy of target light source selection is improved. This also enables the selected light source to effectively protect the ground layer located below the surface pigment layer, thereby improving the effectiveness of target light source selection and effectively reducing the damage caused by light sources to painted cultural relics such as ancient architectural paintings. Attached Figure Description

[0016] The above-described features, other objects, and advantages of the present invention will become clearer from the following description of embodiments of the invention with reference to the accompanying drawings, in which:

[0017] Figure 1 An application scenario diagram of the light source selection method based on the transmittance of colored pigments according to an embodiment of the present invention is shown.

[0018] Figure 2 A flowchart illustrating a light source selection method based on the transmittance of colored pigments according to an embodiment of the present invention is shown.

[0019] Figure 3A An example of grinding during the preparation of a pigment sample according to an embodiment of the present invention is shown.

[0020] Figure 3B An example diagram of the fabrication of a coating device is shown during the preparation of a pigment sample according to an embodiment of the present invention.

[0021] Figure 3C A schematic diagram of an application stage and a pigment sample during the preparation of a pigment sample according to an embodiment of the present invention is shown.

[0022] Figure 3D A top view of the application stage and the pigment sample during the preparation of a pigment sample according to an embodiment of the present invention is shown.

[0023] Figure 3E A schematic diagram of a pigment sample according to an embodiment of the present invention is shown.

[0024] Figure 4A A schematic diagram of the sample chamber of a measuring device according to an embodiment of the present invention is shown.

[0025] Figure 4B The graph shows the detection results of ambient temperature and ambient humidity according to an embodiment of the present invention.

[0026] Figure 4C A schematic diagram of a measuring device according to an embodiment of the present invention measuring a pigment sample is shown.

[0027] Figure 5A A transmittance curve of a gamboge sample according to an embodiment of the present invention is shown.

[0028] Figure 5B A transmittance curve of a sample of cyanide according to an embodiment of the present invention is shown.

[0029] Figure 6 The spectral power distribution of the candidate light source is shown.

[0030] Figure 7 A structural block diagram of a light source selection device based on the transmittance of colored pigments according to an embodiment of the present invention is shown.

[0031] Figure 8 A block diagram of an electronic device suitable for implementing a light source selection method based on the transmittance of colored pigments according to an embodiment of the present invention is shown. Detailed Implementation

[0032] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the invention. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the invention for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concept of the invention.

[0033] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the invention. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0034] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0035] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0036] The ground layer of ancient architectural polychrome paintings is made of animal glue, blood pigments, and fibrous materials. Due to the organic content of these materials, the ground layer is highly sensitive to light and is prone to photodegradation when exposed to sunlight for extended periods. Simultaneously, the organic matter provides nutrients for mold growth, making the ground layer highly susceptible to mold in humid environments. These two factors lead to a fragile, powdery, and even flaking ground layer, causing structural damage to the overall polychrome painting and, in severe cases, jeopardizing the stability of the substrate to which the painting adheres. The wooden substrate itself also has inherent defects; aging and ultraviolet radiation can cause lignin to yellow and release acidic volatiles, while resin and oil migration can weaken the adhesive bond and cause pigment discoloration. Therefore, protecting the ground layer from light damage is a key focus and challenge in the preservation of ancient architectural polychrome artifacts.

[0037] In recent years, ancient building exhibition institutions have begun to introduce LED lighting technology for exhibition and environmental lighting. While LED light sources offer tunable spectra, their spectral composition can affect the internal structure of painted decorations. Certain wavelengths of light from LED sources can accelerate the photodegradation of organic components in the base layer, leading to material aging. However, current research on the effects of light on ancient architectural painted decorations largely focuses on the fading and discoloration of the pigment surface, with less research on the effect of light transmission through the painted structure. In particular, there is a lack of systematic research and data accumulation on the light transmission behavior of different pigment layers. This results in a lack of scientific basis for lighting design, making it difficult to effectively balance the conflict between lighting display needs and the protection of the inner layers of the painted decorations. Currently, there is no complete model for the transmittance of pigment layers in ancient architectural painted decorations. Museums and cultural heritage institutions mainly rely on experience in lighting selection, making it difficult to accurately control the impact of light on the inner layers of the painted decorations.

[0038] In light of this, there is an urgent need for a method that can systematically reveal the transmission patterns of light through layers of painted pigments, quantitatively describe the light transmittance under different pigment and thickness conditions, and apply this method to the optimal selection of lighting sources. This will provide a scientific lighting protection strategy for painted cultural relics of ancient buildings, ensuring viewing needs while reducing damage to the painted decorations from harmful light, and opening up new avenues for the protection of cultural relics without contact or chemical reagent contamination.

[0039] Figure 1 An application scenario diagram of the light source selection method based on the transmittance of colored pigments according to an embodiment of the present invention is shown.

[0040] like Figure 1 As shown, the application scenario 100 according to this embodiment may include a plurality of candidate light sources 101 and a painted artifact 102. The plurality of candidate light sources 101 are used to provide illumination to the painted artifact 102.

[0041] The spectral power distribution of candidate light source 101 can be obtained by measuring the light source using a spectrometer or a spectroradiometer.

[0042] The type of pigment in the painted artifact 102 can be determined by Raman spectroscopy. The pigment type of the painted artifact 102 can be determined based on the characteristic peaks of the Raman spectrum. The thickness of the pigment layer corresponding to the pigment type can be obtained by microscopy, such as laser scanning microscopy.

[0043] Based on the pigment type identifier, the target spectral transmittance model for each pigment type can be obtained. By inputting the spectral power distribution and pigment layer thickness of each candidate light source 101 into the target spectral transmittance model, the transmittance of each pigment type to each candidate light source 101 can be obtained.

[0044] Based on the transmittance and spectral power distribution of each candidate light source 101, the transmission power of the candidate light source 101 through the pigment layer can be obtained. Based on the transmission power of each candidate light source 101, the target light source can be selected from multiple candidate light sources 101.

[0045] The following will be based on Figure 1 The described scene, through Figure 2 Figure 5 provides a detailed description of the light source selection method based on the transmittance of colored pigments according to an embodiment of the present invention.

[0046] Figure 2 A flowchart illustrating a light source selection method based on the transmittance of colored pigments according to an embodiment of the present invention is shown.

[0047] like Figure 2 As shown, the light source selection based on the transmittance of the colored pigment in this embodiment includes operations S210 to S250.

[0048] In operation S210, the spectral power distribution of multiple candidate light sources used to provide illumination to the painted cultural relic is obtained, as well as the various pigment types and the thickness of the pigment layers corresponding to the various pigment types on the target painted part of the painted cultural relic. The spectral power distribution represents the irradiation power of the candidate light sources at different wavelengths.

[0049] In operation S220, based on the identification of multiple pigment types, target spectral transmittance models for each pigment type are selected from a pre-built set of spectral transmittance models. The target spectral transmittance model characterizes the relationship between spectral transmittance and the wavelength of the light source and the thickness of the pigment layer corresponding to the pigment type under the influence of pigment type.

[0050] In operation S230, the spectral power distribution of the candidate light source and the thickness of the pigment layer corresponding to each pigment type are input into the target spectral transmittance model of each pigment type, and the spectral transmittance of each pigment type to the candidate light source is output.

[0051] In operation S240, based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source, the transmission power of the candidate light source through the pigment layer of the target painted area is predicted.

[0052] In operation S250, a target light source is selected from multiple candidate light sources based on the transmitted power.

[0053] In some embodiments, the candidate light source can be a light source used to illuminate the painted cultural relic, such as a neutral white LED with a color temperature of approximately 4000K and a warm white LED with a color temperature of approximately 2900K. The spectral power distribution of the candidate light source can be obtained by measuring the light source using a spectrometer or spectroradiometer. The spectral power distribution can be a normalized spectral power distribution.

[0054] The type of pigment in painted cultural relics can be determined by measuring the Raman spectrum of the relics using a Raman spectrometer. The pigment type is identified by the characteristic peaks appearing in the Raman spectrum. The thickness of the pigment layer corresponding to the pigment type can be measured using a microscope, such as a laser scanning microscope.

[0055] The spectral transmittance model set can include pre-built mathematical models of pigment layer transmittance with respect to wavelength and thickness for each pigment type. .

[0056] For example:

[0057]

[0058]

[0059] By identifying the pigment type, a target spectral transmittance model corresponding to the pigment type can be selected.

[0060] By inputting the spectral power distribution of candidate light sources and the pigment layer thickness corresponding to each pigment type into the target spectral transmittance model for each pigment, the spectral transmittance of each pigment type to the candidate light sources can be output. In one embodiment, the input process may include the following operations: for each candidate light source among a plurality of candidate light sources, the spectral power of the candidate light source is input into each target spectral transmittance model respectively, and the thickness of the pigment layer corresponding to each pigment type is correspondingly input into each target spectral transmittance model, thereby outputting the spectral transmittance of each pigment type to the candidate light sources.

[0061] For example, given candidate light source G1 and candidate light source G2, using... The spectral power distribution of candidate light source G1 is represented by... This represents the spectral power distribution of candidate light source G2. The pigment types are gamboge and indigo; the thickness of the yellow layer corresponding to gamboge is... The thickness of the blue layer corresponding to the first blue is The spectral transmittance of gamboge to candidate light source G1 is... The spectral transmittance of gamboge to candidate light source G2 is The spectral transmittance of the first blue light source to candidate light source G1 The spectral transmittance of the first blue light source to candidate light source G2 .

[0062] Based on the spectral transmittance of each pigment type to the candidate light source and the spectral power distribution of the candidate light source, the transmission power of the candidate light source through the pigment layer of the target painted area can be predicted.

[0063] For example, based on the spectral transmittance of gamboge to candidate light source G1... , and the spectral power distribution of candidate light source G1 The transmission power of candidate light source G1 through the yellow layer corresponding to gamboge can be obtained as follows: Correspondingly, the transmission power of candidate light source G1 through the blue layer corresponding to the cyan can be... The transmission power of candidate light source G2 through the yellow layer corresponding to gamboge can be... The transmission power of candidate light source G2 through the blue layer corresponding to the blue layer can be .

[0064] In some embodiments, a preset illumination band may also be provided. And based on the preset illumination band Determine the transmission power. For example, the transmission power of candidate light source G1 through the yellow layer corresponding to gamboge can be... .

[0065] In some embodiments, by comparing the transmission power, the illumination damage to the painted cultural relic caused by the candidate light source can be determined, and the candidate light source with the transmission power that causes the least illumination damage to the painted cultural relic is selected as the target light source.

[0066] According to an embodiment of the present invention, the spectral power distributions of multiple candidate light sources and the various pigment types and pigment layer thicknesses of the target painted area on the painted cultural relic are obtained. Based on the pigment type identification, a target spectral transmittance model is selected. The spectral power distributions of the candidate light sources and the pigment layer thicknesses are input into the target spectral transmittance model, and the spectral transmittance of each pigment type to the candidate light source is output. Based on the spectral transmittance and the spectral power distribution of the candidate light sources, the transmission power of the candidate light sources through the pigment layer is predicted. The target light source is selected from multiple candidate light sources based on the transmission power. Since the spectral transmittance models of different pigments are used to process the spectral power distributions of the candidate light sources and the pigment layer thicknesses of different pigment types during the light source selection process, not only can the influence of pigment type on the spectral transmittance of the candidate light source be analyzed, but also the influence of pigment layer thickness on the spectral transmittance of the candidate light source can be analyzed. Based on the transmittance of the pigment type to the candidate light source, combined with the spectral power distribution of the candidate light source, the transmission power of the candidate light source through the pigment layer can be simulated and quantified. Based on the transmission power through the pigment layer, the candidate light source corresponding to the lowest characteristic value of transmission power can be selected as the target light source that causes the least damage to the painted cultural relic. By selecting the target light source based on the simulated and quantified transmission power of candidate light sources through the pigment layer, the accuracy of target light source selection is improved. This also enables the selected light source to effectively protect the ground layer located below the surface pigment layer, thereby improving the effectiveness of target light source selection and effectively reducing the damage caused by light sources to painted cultural relics such as ancient architectural paintings.

[0067] In some embodiments, the spectral transmittance model in the spectral transmittance model set can be constructed as follows: Multiple pigment samples are tested using a spectral measurement device equipped with a test light source to obtain raw test data corresponding to the multiple pigment samples; within the test range of the spectral measurement device, the distribution characteristic values ​​of the raw test data are determined, and the distribution characteristic values ​​of the raw test data are hierarchically divided according to a preset hierarchical interval to obtain the division result; based on the respective characteristic values ​​of the raw test data and the division result, the transmittance of the pigment samples is analyzed, and a modeling relationship is determined with the wavelength of the test light source and the thickness of the pigment sample as independent variables and the spectral transmittance as the dependent variable; according to the modeling relationship, the raw test data is fitted to obtain the spectral transmittance model.

[0068] In some embodiments, the pigment sample tested by the measuring device may be prepared by: mixing a binder with a target solvent to obtain a binder liquid, and keeping the binder liquid in a water bath at a preset temperature; mixing multiple pigments with the binder liquid and grinding them to obtain a mixture; and applying the mixture liquid onto a substrate using a coater so that the mixture liquid forms a pigment coating of a preset thickness on the substrate to obtain the pigment sample.

[0069] In some embodiments, the pigment samples are derived from mineral pigments that have undergone spectral and particle size analysis, and can cover 18 common pigments used in ancient architectural painting: indigo, sapphire, lapis lazuli, ultramarine, Prussian blue, lapis lazuli, emerald green, cinnabar, lead oxide, carmine, orpiment, ochre, gamboge, ochre, lead white, white calcite, and carbon black.

[0070] Figure 3A An example of grinding during the preparation of a pigment sample according to an embodiment of the present invention is shown. Figure 3B An example diagram of the fabrication of a coating device is shown during the preparation of a pigment sample according to an embodiment of the present invention. Figure 3C A schematic diagram of an application stage and a pigment sample during the preparation of a pigment sample according to an embodiment of the present invention is shown. Figure 3D A top view of the application stage and the pigment sample during the preparation of a pigment sample according to an embodiment of the present invention is shown.

[0071] based on Figures 3A-3E The preparation process of the pigment samples is as follows: A binder (e.g., gelatin) and a target solvent (e.g., water) are mixed at a mass ratio of 1:10 to prepare a binder solution, which is then kept at a preset temperature (e.g., 60°C) in a water bath. Subsequently, each pigment is mixed with the binder solution at a mass ratio of 1:11 and ground until homogeneous. The grinding process is as follows: Figure 3A As shown, grinding is carried out in grinding container 301.

[0072] A coating was applied to the center of a 25 mm × 25 mm × 0.5 mm quartz substrate. Coatings of approximately 100 μm, 150 μm, and 200 μm thickness were sequentially obtained using a four-sided coater (SZQ50-100-150-200 μm), resulting in 54 pigment samples. All samples were cured under controlled temperature and humidity conditions, numbered, and documented. An uncoated quartz substrate served as a blank control. The process of preparing pigment samples 303 using coater 302 is as follows: Figure 3B As shown. The coating station 3021 of the coater and the pigment sample 303 can be used as follows. Figure 3C As shown. A top view of the application table 3021 and the pigment sample 303 can be seen as follows. Figure 3D As shown. The pigment sample obtained by the above method can be as follows. Figure 3E As shown.

[0073] The pigment samples obtained using the above method can be measured using a measuring device. In this embodiment of the invention, a direct-through transmission geometry spectral measurement system can be employed. Full-spectrum testing uses a UV-Vis spectrophotometer (UV-2600i), which automatically switches between a built-in deuterium lamp (approximately 185~350 nm) and a halogen lamp (approximately 340~1400 nm). The measurement mode is set to transmittance, with a scanning range of 185~1400 nm. Dark current / baseline correction and wavelength calibration are configured, and the sample chamber and channels are treated with matte black to suppress stray light. To suppress power fluctuations, a regulated power supply (e.g., HJS-480-0-12) is connected in series at the light source end, and a blank reference set is provided for response alignment.

[0074] Figure 4A A schematic diagram of the sample chamber of a measuring device according to an embodiment of the present invention is shown. Figure 4B The graph shows the detection results of ambient temperature and ambient humidity according to an embodiment of the present invention. Figure 4C A schematic diagram of a measuring device according to an embodiment of the present invention measuring a pigment sample is shown.

[0075] like Figure 4A As shown, before measuring the pigment sample with the measuring equipment, an equipment check can be performed. Check the sample chamber 401 of the testing equipment to confirm that the measuring equipment is in good working condition (including the deuterium lamp and halogen lamp) and that the sample chamber 401 is clean and dust-free.

[0076] like Figure 4B As shown, after completing the sample chamber inspection, the ambient temperature and humidity of the measuring equipment can be recorded. For example, the ambient temperature is 21.8℃ and the ambient humidity is 56.9%.

[0077] Once the ambient temperature and humidity are recorded, the measuring equipment can be run unloaded (i.e., preheated) for a preset time (e.g., 30 minutes) to stabilize the light source and electronic system; then, the transmittance measurement mode can be selected in the control software.

[0078] When the measuring equipment is running unloaded for a preset time, a reference substrate identical to the substrate of the pigment sample can be placed in the sample optical path of the measuring equipment chamber. The reference substrate is then scanned using a test light source to perform baseline calibration of the measuring equipment. The scanning band includes the range of 185~1400nm. After the measuring equipment has completed baseline calibration, the pigment sample is placed in the sample optical path, and the pigment sample is scanned using a test light source to obtain the original test data.

[0079] For example, after the measuring equipment has been running unloaded for a preset time, the scanning band of the measuring equipment is set to 185~1400nm; and an unsampled quartz glass slide is placed in to complete the baseline scan as a reference channel for baseline correction.

[0080] With the baseline correction completed by the measuring equipment, it is possible to... Figure 4C As shown, the pigment sample 303 is flattened and fixed in front of the transmission hole 4011 in the sample chamber, ensuring that it is centered in the optical path and avoiding shaking or misalignment.

[0081] Once the pigment sample is fixed, a full-band scan can be performed to obtain raw test data on transmittance as a function of wavelength. Based on the raw test data, a transmittance curve showing the relationship between wavelength and transmittance can be generated and exported for subsequent analysis.

[0082] After the experiment, the samples were removed, the light source was turned off, the sample chamber and optical components were cleaned, and the ambient temperature and humidity were recorded. After analyzing the regularity of the transmittance curve of the pigment layer, pigment samples with transmittance greater than the predetermined threshold were selected.

[0083] Based on the raw test data obtained from the above operations, the distribution characteristics of the raw test data can be determined within the test range of the spectral measurement equipment. For example, the transmittance data across the entire wavelength range of 185–1400 nm can be averaged. The average transmittance of different pigment layer samples at each wavelength is used to quantify the overall light transmission performance of the pigment layer across the entire spectral range. The transmittance index reflects the pigment's comprehensive transmission capability to light from ultraviolet to near-infrared wavelengths. It is a simplified representation of the light transmission characteristics of a pigment layer at a specific thickness, providing a convenient reference for comparing the optical performance of pigments.

[0084] Once the distribution characteristic values ​​are determined, the distribution characteristic values ​​of the original test data can be hierarchically divided according to preset hierarchical intervals to obtain the classification results. For example, the average transmittance of the pigment layer can be graded according to the predetermined numerical intervals; the transmittance peak value of each pigment layer sample in the range of 185~1400 nm is defined as the maximum transmittance index, which is used to characterize the optical transmission peak characteristics of the pigment sample, and based on this, the thickness influence law, the difference law between pigments, and the maximum transmittance distribution law can be summarized. The predetermined numerical intervals can be divided into different levels according to the transmittance data of each pigment at different thicknesses, such as the interval with transmittance greater than 20%, the interval with transmittance between 10% and 20%, the interval with transmittance between 1% and 5%, the interval with transmittance between 0.1% and 1%, and the interval with transmittance less than 0.1%.

[0085] Figure 5A A transmittance curve of a gamboge sample according to an embodiment of the present invention is shown; Figure 5B A transmittance curve of a sample of cyanide according to an embodiment of the present invention is shown.

[0086] like Figure 5A As shown, the horizontal axis represents wavelength, and the vertical axis represents transmittance. The transmittance of the gamboge sample decreases with increasing thickness. Figure 5B As shown, the transmittance of the blue sample decreases with increasing thickness. Figure 5A and Figure 5B For example, the following pattern emerges: the thickness of the pigment layer is significantly negatively correlated with transmittance; as the pigment thickness increases, the transmittance gradually decreases. Different pigments exhibit significant differences in transmittance. Indigo, orpiment, and gamboge have high transmittance, while dark pigments such as carbon black, red lead, and cinnabar have low transmittance. Furthermore, when the pigment layer thickness exceeds a critical value, the transmittance drops sharply. In addition, various pigment layers exhibit strong absorption of short-wavelength ultraviolet light, while in the long-wavelength near-infrared region, the transmittance of most pigment layers increases, showing a trend of increasing transmittance with increasing wavelength. The experimental data clearly reveal the differences in transmittance across the entire spectrum of different pigment layers and provide comprehensive data support for establishing a mathematical model of transmittance.

[0087] Based on the above-mentioned patterns, a modeling relationship can be established by multivariate nonlinear fitting, with the wavelength of the test light source and the thickness of the pigment sample as independent variables and the spectral transmittance as the dependent variable. According to this modeling relationship, the original test data is fitted to obtain a spectral transmittance model of 18 commonly used pigments in ancient architectural painting, which varies with wavelength and pigment thickness. This model can then be used for subsequent comparison and screening of candidate light source spectra.

[0088] In some embodiments, a spectral transmittance model of the pigment layer transmittance with respect to wavelength and thickness can be constructed using a multivariate nonlinear fitting method. Specifically, with the light source wavelength λ and the pigment layer thickness d as independent variables and the transmittance T as the dependent variable, data fitting is performed separately for each pigment type to obtain a spectral transmittance model of transmittance T=f(λ,d). All measured data can be used in this fitting process. This fitting process can be implemented using fitting software.

[0089] Regarding the goodness of fit of the fitted models, except for Pran's spectral transmittance model, the spectral transmittance models for other pigment types all achieved a good fit of over 0.8, indicating that the established models can well reflect the variation characteristics of pigment layer transmittance. Because this experimental model is based on wavelength data and pigment layer thickness, there is relatively dense data in the wavelength range of 180–1400 nm. Furthermore, the transmittance variation trends of most pigments are quite complex. During the fitting process, when the power of the wavelength dimension is small, it is insufficient to describe the complex transmittance laws. Therefore, the dimensionality is gradually increased by progressively increasing the polynomial degree of the wavelength dimension to improve the fitting accuracy as much as possible while ensuring moderate model complexity. The model results show that the goodness of fit R0 for most pigments is high. 2All values ​​reached above 0.8, and the spectral transmittance model can quantitatively predict the transmittance of different pigment layers under arbitrary thickness and wavelength conditions.

[0090] The embodiments of this invention quantitatively reveal the light transmittance characteristics of painted pigment layers across the entire spectrum through experiments, filling a gap in our understanding of the influence of illumination on the internal structure of painted artifacts and clarifying the significant impact of factors such as pigment thickness and type on transmittance. Furthermore, the embodiments of this invention establish a mathematical model that can be used to predict the light transmittance performance of different pigment layers, realizing the function of calculating light transmittance based on pigment type and thickness. This model is highly accurate and widely applicable, providing a new tool for the study of the optical properties of painted cultural relic materials.

[0091] Given the spectral transmittance models for each pigment type, the spectral transmittance models can be used to quantitatively predict the transmittance of different pigment layers under arbitrary thickness and wavelength conditions, thus obtaining the spectral transmittance of each pigment type.

[0092] The process of predicting the transmission power of a candidate light source through the pigment layer of a target painted area, based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source, may include the following operations: predicting the sub-transmission power of the candidate light source for each pigment type based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source; determining the pigment weight of each pigment type based on the ratio of the area of ​​the color patch occupied by the color displayed by each pigment type in the target painted area to the total area of ​​the color patch in the target painted area; and obtaining the transmission power based on the pigment weight of each pigment type and the sub-transmission power of the candidate light source for each pigment type.

[0093] In some embodiments, the process of predicting the sub-transmission power of a candidate light source for each pigment type based on the spectral power distribution of the candidate light source with spectral transmittance for each pigment type may include the following operations: obtaining a preset illumination band, which is determined based on the lighting protection request for the painted cultural relic; and obtaining the sub-transmission power based on the transmission power generated by the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source within the preset illumination band.

[0094] In some embodiments, the illumination band may be determined based on the illumination protection request for the painted cultural relic; different protection requests correspond to different illumination bands.

[0095] For example, the lighting protection request is to protect the ground layer to the greatest extent possible (from photodegradation). However, the ground layer is sensitive to ultraviolet (UV) light, especially 300-400 nm, because the organic matter (glue, blood pigment) in the ground layer is most sensitive to UV light, and photodegradation is mainly caused by this wavelength. Therefore, the preset lighting wavelength is 300-400 nm to predict the damage that light sources in this wavelength range will cause to painted cultural relics.

[0096] For example, a lighting protection request might balance protection and visual display requirements. The preset lighting wavelength could be 380~780nm, which is the visible light band, and this operating wavelength is probably the most common.

[0097] For example, if the lighting protection request is for the most comprehensive basic research, to explore the most complete mechanism of light transmission, then the preset illumination wavelength can be consistent with the full wavelength range used in the pigment sample testing, i.e., 185~1400 nm.

[0098] The spectral power distribution of candidate light sources may cover a wide spectral range (e.g., energy from 300-1000 nm). Setting the preset illumination band to 380-780 nm means only the spectral data within this range is used for subsequent calculations. Since different operating bands correspond to different transmitted powers, leading to different target light sources, it is only meaningful to compare the relative spectra of different light sources within the same operating band.

[0099] Therefore, to ensure the comparability of the incident spectra, the embodiments of the present invention use the spectral power distribution of each candidate light source. (i can represent different candidate light sources), in the preset illumination band Internal total spectrum energy Normalized to the same scale, as shown in formula (1).

[0100] (1)

[0101] in, For the normalized spectral power distribution, i can represent a candidate light source. The purpose of normalization is to prevent a light source with higher power (brighter) from having a higher calculated transmitted power simply because it emits more total light. Therefore, it is necessary to ensure that the comparison of transmitted power occurs under the premise of emitting the same spectral power distribution.

[0102] The sub-transmission power can be obtained based on the spectral transmittance of each pigment type to the candidate light source and the transmission power generated by the spectral power distribution of the candidate light source within the preset illumination band, as shown in formula (2).

[0103] (2)

[0104] in, For the sub-transmission power, For the normalized spectral power distribution, represents the spectral transmittance for each pigment type.

[0105] Through the exist The transmission power is obtained by integrating within the range, as shown in formula (3).

[0106] (3)

[0107] in, To transmit spectral power distribution, This represents the power transmitted by the sub-transmission.

[0108] In some embodiments, formula (3) can correspond to the case where there is only one type of pigment. When the target painted part of the painted cultural relic has multiple types of pigments, it is necessary to determine the weight of each type of pigment and use the weight of the pigment type and the weighted value of the transmission power of the pigment type to obtain the transmission power.

[0109] In some embodiments, the weight of a pigment type can be determined as the ratio of the area of ​​the color patch occupied by each pigment type in the target painted area to the total area of ​​the color patches in the target painted area. A color patch is the smallest visually uniform and divisible unit of color in an image. The area of ​​a color patch can be determined based on the number of pixels it occupies.

[0110] For example, emerald green displays green; ultramarine displays blue; carmine displays red; gamboge displays yellow; charcoal black displays black; and lead white displays white. By calculating the ratio of the area occupied by each color to the total area of ​​the target painted area, the following data can be obtained: green: 20.92%, blue: 19.32%, red: 12.65%, yellow: 2.99%, black: 5.08%, and white: 5.62%. Therefore, the pigment weights of emerald green, ultramarine, carmine, gamboge, charcoal black, and lead white are 20.92%, 19.32%, 12.65%, 2.99%, and 5.08%, respectively. The transmission power can be obtained by weighting the pigment weights of emerald green, ultramarine, carmine, gamboge, charcoal black, and lead white with their respective sub-transmission power.

[0111] In some embodiments, based on the transmitted power obtained from the above operations, a target light source can be selected from a plurality of candidate light sources. Specifically, the process may include the following operations: evaluating the predicted degree of illumination damage to the painted cultural relic by a plurality of candidate light sources based on the transmitted power; and selecting the candidate light source corresponding to the degree of illumination damage that meets predetermined conditions as the target light source.

[0112] The transmitted power is obtained from the above formula (3). , It is a value that assesses the predicted degree of illumination damage to painted cultural relics caused by candidate light sources. The higher the value, the greater the predicted degree of lighting damage to painted cultural relics from the candidate light source. Therefore, by comparing different candidate light sources... And select the smallest The corresponding candidate light source is used as the target light source.

[0113] In some embodiments, during the irradiation process using the target light source, the irradiation status of the painted cultural relics can be monitored periodically, such as whether the painted cultural relics suffer lighting damage. The monitoring results can be reviewed and fed back, and the spectral composition and operating parameters of the target light source can be adjusted in a timely manner to implement the protective effect on the ground layer.

[0114] This invention utilizes a pre-constructed spectral transmittance model to output the transmittance of pigment types to candidate light sources. Combined with the spectral power distribution of these candidate light sources, it simulates the transmission power of the light sources through the pigment layer. Based on this transmission power, different candidate light sources are quantitatively compared. This allows for the scientific selection of light source spectral combinations that meet both lighting requirements and maximize the protection of the painted artwork. This approach changes the previous experience-based method of lighting selection, improving the scientific rigor and relevance of lighting schemes. Furthermore, this invention focuses on commonly used pigments and materials in ancient painted artworks, and the resulting light source selection method and model have valuable reference value for painted cultural relics. The light source selection method provided by this invention can offer guidance for lighting protection in other cultural relic preservation scenarios such as murals and painted sculptures, and has promising prospects for widespread application.

[0115] The following describes the light source selection method based on the transmittance of colored pigments provided by the present invention using an embodiment.

[0116] The candidate light sources include neutral white LEDs with a color temperature of approximately 4000K and warm white LEDs with a color temperature of approximately 2900K.

[0117] Figure 6 The spectral power distribution of the candidate light source is shown.

[0118] like Figure 6 As shown, the horizontal axis represents wavelength and the vertical axis represents relative spectral power. The spectral peaks of a 4000K neutral white LED are fewer and the overall trend is relatively flat, while the spectral peaks of a 2900K warm white LED are more numerous and the overall trend is steeper. This indicates that the spectral power distribution of the 4000K neutral white LED and the 2900K warm white LED are different.

[0119] The color proportions in ancient architectural paintings are as follows: green: 20.92%, blue: 19.32%, red: 12.65%, yellow: 2.99%, black: 5.08%, and white: 5.62%. Measurements of the ancient architectural paintings have identified the pigment types as: ultramarine, carmine, gamboge, charcoal black, and lead white. It should be noted that in practical applications, different colors may correspond to multiple pigments. Therefore, the specific pigment corresponding to each color should be identified and subdivided (using instruments such as Raman spectroscopy). This example uses six typical pigments: ultramarine, carmine, gamboge, charcoal black, and lead white.

[0120] The preset illumination band is the visible light band of 380~780nm, that is... ; .

[0121] Based on the labels of dichlorodichlorophenoxylate, ultramarine, carmine, gamboge, carbon black, and lead white, the target spectral transmittance models selected from the pre-constructed set of spectral transmittance models are as follows: , .

[0122] by For example, and Input to From the formula, we can obtain Transmittance of warm white LEDs with a color temperature of approximately 2900K Based on a similar process, a method can be obtained for warm white LEDs with a color temperature of approximately 2900K. For warm white LEDs with a color temperature of approximately 4000K, the following can be achieved: .

[0123] Taking the second green as an example, and By inputting this into formula (3), the transmission power of a warm white LED with a color temperature of approximately 2900K through the green layer can be obtained. Based on a similar process, a method can be obtained for warm white LEDs with a color temperature of approximately 2900K. For warm white LEDs with a color temperature of approximately 4000K, the following can be achieved: , .

[0124] The total transmitted power of a warm white LED with a color temperature of approximately 2900K It can be as follows:

[0125]

[0126] The total transmitted power of a warm white LED with a color temperature of approximately 4000K It can be as follows:

[0127]

[0128] Can be and Perform numerical comparisons, and The candidate light source corresponding to the minimum value is used as the target light source for illuminating the painted cultural relics. and The minimum value in the value represents the amount of effective light energy reaching the ground layer. The less effective light energy reaches the ground layer, the lower the potential risk of photochemical damage to the ground layer, which can slow down the photodegradation of the ground layer.

[0129] This invention provides a method for optimizing light sources based on the transmittance of painted pigments. The method involves designing experiments to prepare samples covering various pigment types and thickness gradients, and conducting spectral measurements to obtain transmittance data across the entire wavelength range. Based on this, the stable characteristics of transmittance variations with wavelength and thickness, as well as the pigment differences, are extracted. Spectral transmittance models for different pigments are then constructed based on these patterns. In selecting a light source, the spectral power distribution of candidate light sources, along with the pigment type and thickness of the target painted area, are input. The transmittance at each wavelength of the spectral power distribution is calculated using the spectral transmittance model, and this is superimposed with the corresponding wavelength's transmission power distribution to obtain the transmitted spectral power distribution after penetrating the pigment layer. The transmission power distribution across preset illumination bands is then summarized to form a single index reflecting the total energy reaching the ground layer. Based on this index, candidate light sources are ranked and optimized to select the optimal light source spectrum that effectively reduces the risk of photochemical damage to the ground layer, thereby achieving scientific lighting protection for painted cultural relics in ancient buildings. The light source selection method provided in this embodiment reveals the spectral transmission mechanism of the pigment layer in painted decoration and constructs a predictable transmittance model, providing a quantitative and operable basis for the selection of light source spectrum, which has important application value for cultural relic protection.

[0130] Based on the above-described light source selection method based on the transmittance of colored pigments, this invention also provides a light source selection device based on the transmittance of colored pigments. The following will be combined with... Figure 8 The device is described in detail.

[0131] Figure 7 A structural block diagram of a light source selection device based on the transmittance of colored pigments according to an embodiment of the present invention is shown.

[0132] like Figure 7As shown, the light source selection device 700 based on the transmittance of colored pigments in this embodiment includes an acquisition module 710, a first selection module 720, an input module 730, a prediction module 740, and a second selection module 750.

[0133] The acquisition module 710 is used to acquire the spectral power distribution of multiple candidate light sources for illuminating painted cultural relics, as well as the various pigment types and the thickness of the pigment layers corresponding to the target painted parts on the painted cultural relics. The spectral power distribution represents the irradiation power of the candidate light sources at different wavelengths.

[0134] The first selection module 720 is used to select target spectral transmittance models for each of the various pigment types from a pre-built set of spectral transmittance models based on the identifiers of the various pigment types. The target spectral transmittance model characterizes the relationship between spectral transmittance and the wavelength of the light source and the thickness of the pigment layer corresponding to the pigment type under the influence of the pigment type.

[0135] The input module 730 is used to input the spectral power distribution of the candidate light source and the thickness of the pigment layer corresponding to each pigment type into the target spectral transmittance model of each pigment type, and output the spectral transmittance of each pigment type to the candidate light source.

[0136] The prediction module 740 is used to predict the transmission power of the candidate light source through the pigment layer of the target painted area based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source.

[0137] The second selection module 750 is used to select a target light source from multiple candidate light sources based on the transmitted power.

[0138] In some embodiments, the prediction module 740 may include a prediction unit, a determination unit, and a result unit.

[0139] The prediction unit is used to predict the sub-transmission power of the candidate light source for each pigment type based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source.

[0140] The determining unit is used to determine the pigment weight of each pigment type based on the ratio of the area of ​​the color patch occupied by each pigment type in the target painted area to the total area of ​​the color patch in the target painted area.

[0141] The result unit is used to determine the pigment weight for each pigment type and the sub-transmission power of the candidate light source for each pigment type.

[0142] In some embodiments, the prediction unit may include an acquisition subunit and a result subunit.

[0143] The acquisition sub-unit is used to acquire the preset illumination band, which is determined based on the lighting protection request of the painted cultural relics.

[0144] The result sub-unit is used to obtain the sub-transmission power based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source within a preset illumination band.

[0145] In some embodiments, the second selection module 750 may include an evaluation unit and a selection unit.

[0146] The evaluation unit is used to assess the predicted lighting damage to painted artifacts from multiple candidate light sources based on transmitted power.

[0147] The selection unit is used to select candidate light sources that meet the predetermined conditions for the degree of lighting damage, and use them as target light sources.

[0148] In some embodiments, the light source selection device 700 based on the transmittance of colored pigments may further include a measurement module, a first determination module, a second determination module, and a fitting module.

[0149] The measurement module is used to test multiple pigment samples using a spectral measurement device equipped with a test light source, and to obtain raw test data corresponding to the multiple pigment samples.

[0150] The first determining module is used to determine the distribution characteristic values ​​of the original test data within the test range of the spectral measurement equipment, and to divide the distribution characteristic values ​​of the original test data into levels according to the preset hierarchical intervals to obtain the division results.

[0151] The second determination module is used to analyze the transmittance of pigment samples based on the respective characteristic values ​​and division results of the original test data, and to determine the modeling relationship with the wavelength of the test light source and the thickness of the pigment sample as independent variables and the spectral transmittance as the dependent variable.

[0152] The fitting module is used to fit the original test data according to the modeling relationship to obtain the spectral transmittance model.

[0153] In some embodiments, multiple pigment samples are prepared by: mixing a binder with a target solvent to obtain a binder solution, and then heat-treating the binder solution in a water bath at a preset temperature; mixing multiple pigments with the binder solution and grinding them to obtain a mixture; and then coating the mixture onto a substrate using a coater to form a pigment coating of a preset thickness on the substrate, thereby obtaining a pigment sample.

[0154] In some embodiments, before testing multiple pigment samples using a spectral measurement device equipped with a test light source, a reference substrate identical to the substrate of the pigment sample can be placed in the sample optical path of the measurement device chamber while the measurement device is running idle for a preset time. The reference substrate is then scanned using the test light source to perform baseline calibration of the measurement device. The scanning band includes the range of 185~1400nm. After the measurement device has completed baseline calibration, the pigment sample is placed in the sample optical path, and the pigment sample is scanned using the test light source to obtain the original test data.

[0155] According to embodiments of the present invention, any plurality of modules among the acquisition module 710, the first selection module 720, the input module 730, the prediction module 740, and the second selection module 750 may be combined into one module, or any one of these modules may be split into multiple modules. Alternatively, at least a portion of the functionality of one or more of these modules may be combined with at least a portion of the functionality of other modules and implemented in one module. According to embodiments of the present invention, at least one of the acquisition module 710, the first selection module 720, the input module 730, the prediction module 740, and the second selection module 750 may be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or any other reasonable means of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any one of the three implementation methods, or in a suitable combination of any of them. Alternatively, at least one of the acquisition module 710, the first selection module 720, the input module 730, the prediction module 740, and the second selection module 750 may be implemented at least partially as a computer program module, which can perform corresponding functions when the computer program module is run.

[0156] Figure 8 A block diagram of an electronic device suitable for implementing a light source selection method based on the transmittance of colored pigments according to an embodiment of the present invention is shown.

[0157] like Figure 8As shown, an electronic device 800 according to an embodiment of the present invention includes a processor 801, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 802 or a program loaded from a storage portion 808 into a random access memory (RAM) 803. The processor 801 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 801 may also include onboard memory for caching purposes. The processor 801 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.

[0158] RAM 803 stores various programs and data required for the operation of electronic device 800. Processor 801, ROM 802, and RAM 803 are interconnected via bus 804. Processor 801 executes various operations of the method flow according to embodiments of the present invention by executing programs in ROM 802 and / or RAM 803. It should be noted that the programs may also be stored in one or more memories other than ROM 802 and RAM 803. Processor 801 may also execute various operations of the method flow according to embodiments of the present invention by executing programs stored in said one or more memories.

[0159] According to an embodiment of the present invention, the electronic device 800 may further include an input / output (I / O) interface 805, which is also connected to a bus 804. The electronic device 800 may also include one or more of the following components connected to the input / output (I / O) interface 805: an input section 806 including a keyboard, mouse, etc.; an output section 807 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 808 including a hard disk, etc.; and a communication section 809 including a network interface card such as a LAN card, modem, etc. The communication section 809 performs communication processing via a network such as the Internet. A drive 810 is also connected to the input / output (I / O) interface 805 as needed. A removable medium 811, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 810 as needed so that computer programs read from it can be installed into the storage section 808 as needed.

[0160] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of the present invention.

[0161] According to embodiments of the present invention, a computer-readable storage medium may be a non-volatile computer-readable storage medium, such as including, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to embodiments of the present invention, a computer-readable storage medium may include ROM 802 and / or RAM 803 and / or one or more memories other than ROM 802 and RAM 803 described above.

[0162] Embodiments of the present invention also include a computer program product comprising a computer program containing program code for performing the methods shown in the flowchart. When the computer program product is run on a computer system, the program code is used to cause the computer system to implement the methods provided in the embodiments of the present invention.

[0163] When the computer program is executed by the processor 801, it performs the functions defined in the system / apparatus of this invention. According to embodiments of the invention, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0164] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and may be downloaded and installed via the communication section 809, and / or installed from a removable medium 811. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0165] In such an embodiment, the computer program can be downloaded and installed from a network via communication section 809, and / or installed from removable medium 811. When the computer program is executed by processor 801, it performs the functions defined in the system of this embodiment of the invention. According to embodiments of the invention, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0166] According to embodiments of the present invention, program code for executing the computer programs provided in the embodiments of the present invention can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can be executed entirely on the user's computing device, partially on the user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0167] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0168] Those skilled in the art will understand that the features described in the various embodiments of the present invention can be combined and / or combined in various ways, even if such combinations or combinations are not explicitly described in the present invention. In particular, the features described in the various embodiments of the present invention can be combined and / or combined in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or combinations fall within the scope of the present invention.

[0169] The embodiments of the present invention have been described above. However, these embodiments are merely illustrative and not intended to limit the scope of the invention. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of the invention, and all such substitutions and modifications should fall within the scope of the invention.

Claims

1. A method for selecting a light source based on the transmittance of colored pigments, characterized in that, The method includes: The spectral power distribution of multiple candidate light sources for illuminating painted cultural relics is obtained, as well as the thickness of multiple pigment types and corresponding pigment layers for the target painted parts on the painted cultural relics. The spectral power distribution represents the irradiance of the candidate light sources at different wavelengths. Based on the identification of various pigment types, target spectral transmittance models for each pigment type are selected from a pre-built set of spectral transmittance models. The target spectral transmittance model characterizes the relationship between spectral transmittance and the wavelength of the light source and the thickness of the pigment layer corresponding to the pigment type under the influence of pigment type. The spectral power distribution of the candidate light source and the thickness of the pigment layer corresponding to each pigment type are input into the target spectral transmittance model of each pigment type, and the spectral transmittance of each pigment type to the candidate light source is output. Based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source, the transmission power of the candidate light source through the pigment layer of the target painted area is predicted. Based on the transmitted power, a target light source is selected from multiple candidate light sources.

2. The method according to claim 1, characterized in that, The step of predicting the transmission power of the candidate light source through the pigment layer of the target painted area based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source includes: Based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source, predict the sub-transmission power of the candidate light source for each pigment type; The pigment weight of each pigment type is determined by the ratio of the area of ​​the color patch occupied by each pigment type in the target painted area to the total number of color patches in the target painted area. The transmission power is obtained based on the pigment weight of each pigment type and the sub-transmission power of the candidate light source for each pigment type.

3. The method according to claim 2, characterized in that, The step of predicting the sub-transmission power of the candidate light source for each pigment type based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source includes: A preset illumination band is obtained, which is determined based on the lighting protection request of the painted cultural relic; The sub-transmission power is obtained based on the spectral transmittance of each pigment type and the transmission power generated by the spectral power distribution of the candidate light source within the preset illumination band.

4. The method according to claim 1, characterized in that, The step of selecting a target light source from multiple candidate light sources based on the transmitted power includes: Based on the transmitted power, the predicted degree of illumination damage to the painted cultural relic caused by the plurality of candidate light sources is evaluated; Candidate light sources corresponding to the degree of lighting damage that meets predetermined conditions are selected as the target light source.

5. The method according to claim 1, characterized in that, The spectral transmittance models in the spectral transmittance model set are constructed in the following manner: Using a spectral measurement device equipped with a test light source, multiple pigment samples are tested to obtain raw test data corresponding to the multiple pigment samples; Within the test range of the spectral measurement device, the distribution characteristic values ​​of the original test data are determined, and the distribution characteristic values ​​of the original test data are hierarchically divided according to a preset hierarchical interval to obtain the division result; Based on the distribution characteristics of the original test data and the division results, the transmittance of the pigment sample is analyzed, and a modeling relationship is determined with the wavelength of the test light source and the thickness of the pigment sample as independent variables and the spectral transmittance as the dependent variable. Based on the modeling relationship, the original test data is fitted to obtain the spectral transmittance model.

6. The method according to claim 5, characterized in that, The plurality of pigment samples were prepared in the following manner: The adhesive is obtained by mixing the adhesive with the target solvent, and the adhesive is kept warm in a water bath at a preset temperature. Multiple pigments are mixed with the binder and ground to obtain a mixture. The mixture is applied to a substrate using a coater, forming a pigment coating of a predetermined thickness on the substrate, thus obtaining the pigment sample.

7. The method according to claim 5, characterized in that, The step of using a spectral measurement device equipped with a test light source to test multiple pigment samples and obtain raw test data corresponding to the multiple pigment samples includes: When the measuring device is running unloaded for a preset time, a reference substrate identical to the substrate of the pigment sample is placed in the sample optical path of the measuring device chamber, and the reference substrate is scanned using the test light source to perform baseline calibration of the measuring device. The scanning band includes the range of 185~1400nm. With the baseline calibration completed by the measuring device, the pigment sample is placed in the sample optical path, and the pigment sample is scanned using the test light source to obtain the original test data.

8. A light source selection device based on the transmittance of a colored pigment layer, characterized in that, The device includes: The acquisition module is used to acquire the spectral power distribution of multiple candidate light sources for illuminating painted cultural relics, as well as the various pigment types and the thickness of the pigment layers corresponding to the various pigment types on the target painted part of the painted cultural relics. The spectral power distribution represents the irradiance of the candidate light sources at different wavelengths. The first selection module is used to select target spectral transmittance models for each of the various pigment types from a pre-built set of spectral transmittance models based on the identification of various pigment types. The target spectral transmittance model characterizes the relationship between spectral transmittance and the wavelength of the light source and the thickness of the pigment layer corresponding to the pigment type under the influence of pigment type. The input module is used to input the spectral power distribution of the candidate light source and the thickness of the pigment layer corresponding to each pigment type into the target spectral transmittance model of each pigment type, and output the spectral transmittance of each pigment type to the candidate light source. The prediction module is used to predict the transmission power of the candidate light source through the pigment layer of the target painted area based on the spectral transmittance of each pigment type and the spectral power distribution of the candidate light source. The second selection module is used to select a target light source from multiple candidate light sources based on the transmitted power.

9. An electronic device, comprising: One or more processors; Memory, used to store one or more computer programs. The characteristic feature is that the one or more processors execute the one or more computer programs to implement the steps of the method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program or instructions stored thereon, characterized in that, When the computer program or instructions are executed by a processor, they implement the steps of the method according to any one of claims 1 to 7.

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