Color picking system for ancient building repair

Abstract

The invention belongs to the technical field of ancient building color decoration repair, provides a color picking system for ancient building repair, and aims to solve the problems that traditional color picking is subjective, has no attenuation adaptation and is disjointed with an ancient process. The system comprises five modules: a hardware processing and current color acquisition module for calibrating a color photometer and an environment detector to obtain current color data and an environment attenuation factor; the original color acquisition module measures ores of the same material to obtain original color data; the color decay rule analysis module is used for analyzing a linear relation between time and color decay by using a CL-color grade measurement method; the color attenuation model building module integrates the environment factors into a comprehensive attenuation coefficient K, and a model is built after fitting; according to the method, accurate quantification of the color is realized, experience dependence is reduced, the color matching period is shortened, vulnerable cultural relics are protected, and standardized support is provided for repairing the old as the old.

Description

Technical Field

[0001] This invention belongs to the field of ancient building decoration restoration technology, specifically a color sampling system for ancient building restoration. It is particularly suitable for color data collection, quantitative analysis and primary color matching in the restoration of official ancient building decorations with mineral pigments as the core. It can achieve accurate correspondence and attenuation law correlation between the ancient reflective colors and the original colors of ancient building decorations, providing standardized color sampling support for the goal of restoring ancient buildings to their original state. Background Technology

[0002] Ancient architectural decorations are one of the core carriers of traditional Chinese architectural culture. Their colors largely rely on natural mineral pigments, such as malachite, azurite, cinnabar, and vermilion, and adhere to the imperial color scheme of red, green, yellow, and blue. Typical examples include the caisson ceiling decorations and dragon-patterned beam paintings of the Qianqiu Pavilion in the Imperial Garden of Beijing. However, in the practice of ancient building restoration, existing color selection methods have the following key problems: Color selection is highly subjective and lacks standardization. Traditional color selection relies on the visual experience of restorers. There is no unified quantitative standard for judging the color characteristics of ancient buildings, such as cool and warm colors. This can easily lead to a large deviation between the restored color and the original decoration, which violates the restoration principle of restoring the old to its original state. The color decay factor cannot be correlated. After hundreds of years of natural effects, such as ultraviolet refraction, temperature and humidity changes, sulfur dioxide, and the adhesion of composite solid adhesives, the colors of ancient building decorations will chalk, fade, and decay. Existing color extraction methods do not take into account decay factors, such as ultraviolet UV-A band radiation, ambient temperature and humidity, and air quality, into color extraction logic, making it difficult to accurately restore the original colors of ancient methods. Color picking tools are poorly compatible with traditional pigments. Existing color measuring tools are mostly designed for modern industrial pigments and do not take into account the physical characteristics of traditional mineral pigments used in ancient buildings, such as particle size distribution, reflectance spectrum, and the process requirements of lacquer painting and colored painting in the eight major styles of ancient architecture. Therefore, they cannot achieve accurate matching between the original color of mineral pigments and the residual colors of ancient buildings. Lacking a color gradation decay trajectory to support it, the color decay of ancient building decorations has a linear time characteristic. For example, the amount of black in the Qianqiu Pavilion decorations increases significantly every 10-20 years. The existing color sampling system cannot construct a color gradation relationship between time and decay, making it difficult to guide the planning of long-term restoration cycles.

[0003] Therefore, there is an urgent need for a color-selection system for ancient building restoration that can achieve standardization, quantification, and attenuation factor correlation, in order to solve the problems of subjective color selection, lack of attenuation adaptation, and disconnection from ancient techniques in existing technologies.

[0004] Therefore, the present invention provides a color-selection system for the restoration of ancient buildings. Summary of the Invention

[0005] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.

[0006] The technical solution adopted by this invention to solve its technical problem is: In one aspect, the present invention provides a color-selection system for the restoration of ancient buildings, comprising: Hardware processing and current color acquisition module: calibrates the colorimeter, uses the calibrated colorimeter to sample the color of the painted parts of the ancient building, obtains the current color data of the painted parts of the ancient building, calibrates the environmental monitoring instrument, and obtains the environmental attenuation factor; Original Color Acquisition Module: Acquire color raw material minerals of the same material as the painted parts of the ancient building, measure the color raw material minerals using a CDS-2000 colorimeter, and obtain the original color data of the painted parts of the ancient building; Color decay law analysis module: By comparing the original color data with the current color data, the decay gradient is constructed using the CL-color level measurement method, and the linear relationship between time and color decay of the ancient building's decorative parts is analyzed. Color decay model construction module: Based on the linear relationship between time and the decay of color in the painted parts of ancient buildings, the environmental decay factor is integrated into a comprehensive decay coefficient K. Through multi-factor orthogonal experiments, the real environment of the painted parts of ancient buildings is simulated, the collected data is fitted to the comprehensive decay coefficient K, and a color decay model is constructed based on the decay coefficient K. Ancient building restoration module: Based on the color attenuation model, it outputs the original color data according to the collected current color data, which is used to restore the painted parts of ancient buildings.

[0007] As a further improvement of the present invention, the specific process of calibrating the colorimeter is as follows: A CDS-2000 colorimeter was used and calibrated according to the color design system standard. The CDS-2000 colorimeter was compared with a standard color chart to ensure color accuracy. .

[0008] As a further improvement of the present invention, the specific process of obtaining the current color data of ancient buildings is as follows: Using a calibrated CDS-2000 colorimeter, the light source was standardized according to a color temperature of 5000-6500K, an illuminance of 750-2000lx, and a color rendering index of ≥90. Color samples were taken from the painted parts of the ancient building to ensure that the sampling points were the original painted parts. A CDS-2000 colorimeter was used to collect the color values ​​of the image at the sampling point three times and the average value was taken. The color values ​​of the image at the sampling point were then converted into the current color data using the CDS color design and harmony analysis system. The current color data is: the current color CDS code.

[0009] As a further improvement of the present invention, the specific process for obtaining the environmental degradation factor is as follows: Calibrate the accuracy of air quality monitors, ultraviolet (UV) detectors, and temperature and humidity (THU) meters. Air quality monitors are used to measure PM2.5, sulfur concentration, and acid concentration. UV detectors are used to measure UV-A bands. Temperature and humidity (THU) meters acquire ambient temperature and humidity. Environmental degradation factors include: PM2.5, sulfur concentration, acid concentration, UV-A band, ambient temperature, and ambient humidity.

[0010] As a further improvement of the present invention, the specific process of obtaining the original color data of the painted parts of ancient buildings is as follows: Obtain color raw material ore of the same material as the painted parts of the ancient building. Cut the color raw material ore into sections and magnify the sections 2000 times. Measure the magnified color raw material ore sections with a CDS-2000 colorimeter calibrated with a standard light source to obtain the original color data, which includes the original color CDS code.

[0011] As a further improvement of the present invention, the specific process for determining whether the analysis time has a linear relationship with the color decay of the painted parts of the ancient building is as follows: The method of color quantization and CL-color level measurement is adopted by inverse intervention of color decay. Each level is calculated in 10 years. The age of the painted parts of ancient buildings is quantified into N levels. The original color CDS code and the current color CDS code are quantitatively analyzed by CDS color design and harmony analysis system to calculate the lightness decay and chroma decay. Based on the linear relationship between lightness decay and chroma decay and time, a color decay model is constructed.

[0012] As a further improvement of the present invention, the specific process of integrating the environmental degradation factor into the comprehensive degradation coefficient K is as follows: The PM2.5, sulfur concentration, acid concentration, UV-A band, ambient temperature, and ambient humidity in the environmental attenuation factor are normalized into a single variable, namely the comprehensive attenuation coefficient K.

[0013] As a further improvement of the present invention, the specific process of fitting the comprehensive attenuation coefficient K to the collected data is as follows: The environmental attenuation factor of the painted parts of ancient buildings was simulated, and the factors in the environmental attenuation factor were normalized to obtain the normalized standard value of each factor. The difference ΔE between the color of the aged sample and the initial fresh pigment color was obtained by accelerating the test on the material sample of the decorative part. The difference ΔE was used to perform quantitative analysis on each factor in the environmental attenuation factor through grey relational analysis, and the grey relational degree of each factor was calculated. The grey relational degree of each factor was normalized to obtain the normalized weight of each factor. The normalized weight of each factor was multiplied by the normalized standard value, and the product of the normalized weight and the normalized standard value of all factors was accumulated to obtain the comprehensive attenuation coefficient K.

[0014] As a further improvement of the present invention, the specific process of constructing the color attenuation model is as follows: Based on the attenuation coefficient K, a color attenuation model is constructed: ,in, This refers to the amount of color attenuation. These are the initial color parameters. For the overall attenuation coefficient, For time.

[0015] As a further improvement of the present invention, the specific process of outputting the original color data is as follows: Based on the collected current color data and the time period of the painted parts of the ancient buildings, the original color data is calculated by substituting them into the color decay model.

[0016] As a further improvement of the present invention, the specific process of outputting the original color data is as follows: Based on the collected current color data and the time period of the painted parts of the ancient buildings, the original color data is calculated by substituting them into the color decay model.

[0017] On the other hand, the present invention provides a color sampling method for the restoration of ancient buildings, including: S1: Calibrate the colorimeter, use the calibrated colorimeter to sample the colors of the painted parts of the ancient building, obtain the current color data of the painted parts of the ancient building, calibrate the environmental monitoring instrument, and obtain the environmental attenuation factor; S2: Obtain color raw material ore of the same material as the painted parts of the ancient building, measure the color raw material ore using CDS-2000 colorimeter, and obtain the original color data of the painted parts of the ancient building; S3: By comparing the original color data with the current color data, the CL-color level measurement method is used to construct the attenuation gradient and analyze the linear relationship between time and the attenuation of the colors of the ancient building's decorative parts. S4: Based on the linear relationship between time and the color decay of the painted parts of ancient buildings, the environmental decay factor is integrated into a comprehensive decay coefficient K. Through multi-factor orthogonal experiments, the real environment of the painted parts of ancient buildings is simulated, the collected data is fitted to the comprehensive decay coefficient K, and a color decay model is constructed based on the decay coefficient K. S5: Based on the color attenuation model, it outputs the original color data according to the collected current color data, which is used to repair the painted parts of ancient buildings.

[0018] The beneficial effects of this invention are as follows: 1. Breaking away from traditional reliance on experience, this system achieves precise quantification of restoration colors. By constructing a scientific color sampling logic, it completely changes the extensive mode of traditional manual color adjustment based on experience. Its core advantage lies in controlling the color attenuation error to ΔE≤2, achieving an accuracy that is indistinguishable to the human eye, far superior to the error level of traditional methods where ΔE is often >5. By integrating the synergistic effect of attenuation factors such as ultraviolet light, temperature, and humidity, combined with non-contact CDS color measurement technology, it can accurately deduce the original color parameters of ancient buildings, avoiding deviations in restoration that are not as old as they were due to subjective judgment, and truly realizing the principle of cultural relic protection that restores the old as it was.

[0019] 2. The system introduces grey relational analysis and orthogonal experimental methods to quantify and assign weights to factors affecting color decay, transforming the degree of influence of factors from empirical judgment to data-supported numerical relationships. Through a pre-set scenario-K-value database, the intermediate repair process is standardized, reducing reliance on the individual experience of restorers. This not only reduces the difficulty and randomness of color matching but also makes the repair results of different teams and at different times repeatable, solving the industry pain point of traditional manual restoration of the same object with different colors.

[0020] 3. Restoration personnel no longer need to conduct repeated multi-factor experiments. They only need to input parameters such as building type and regional climate to quickly obtain the target color formula, shortening the traditional color matching cycle of several weeks to several hours. At the same time, the non-contact color measurement technology avoids the squeezing damage to the fragile painted surface of the instrument. It is particularly suitable for color collection of fragile cultural relics such as murals and textiles, and solves the problem of pigment layer peeling that may be caused by traditional contact measurement. Attached Figure Description

[0021] The invention will now be further described with reference to the accompanying drawings.

[0022] Figure 1 This is a system module diagram of the color-selection system for ancient building restoration according to the present invention; Figure 2 This is a flowchart illustrating the steps of the color sampling method for ancient building restoration according to the present invention. Figure 3 This is a schematic diagram of the green decorative pattern at position A of the caisson ceiling of Qianqiu Pavilion; Figure 4 This is a schematic diagram of the CDS color code for position A of the green decorative pattern on the ceiling of Qianqiu Pavilion; Figure 5 This is a magnified diagram of a cut surface of turquoise raw ore, magnified 2000 times. Figure 6 This is a CDS code comparison chart of the original color and the current color of the green decoration at position A of the Qianqiu Pavilion's caisson ceiling; Figure 7 This is a table of 48 CDS color value codes that correlate the original color and the current color of the green decoration at position A of the Qianqiu Pavilion's caisson ceiling. Figure 8This is a linear trend chart showing the color decay of the green decorative element at position A in the Qianqiu Pavilion's caisson ceiling over time. Detailed Implementation

[0023] To make the technical means, creative features, objectives and effects of this invention easy to understand, the following uses the restoration and color sampling of the green decoration of the Qianqiu Pavilion caisson ceiling in the Imperial Garden of Beijing as an example to explain in detail the usage process of this system. The invention will be further elaborated below with specific implementation methods.

[0024] Example 1 like Figure 1 As shown in the embodiment of the present invention, the color-selective system for ancient building restoration includes: Hardware processing and current color acquisition module: calibrates the colorimeter, uses the calibrated colorimeter to sample the color of the painted parts of the ancient building, obtains the current color data of the painted parts of the ancient building, calibrates the environmental monitoring instrument, and obtains the environmental attenuation factor; In the hardware processing and acquisition module, the first specific step, calibrating the colorimeter, is as follows: A CDS-2000 colorimeter was used and calibrated according to the color design system standard. The CDS-2000 colorimeter was compared with a standard color chart to ensure color accuracy. To avoid instrument errors; In the hardware processing and acquisition module, the second specific step, which involves using a calibrated colorimeter to sample the colors of the painted parts of the ancient building and obtain the current color data of the ancient building, is as follows: Using a calibrated CDS-2000 colorimeter, the light source was standardized according to a color temperature of 5000-6500K, an illuminance of 750-2000lx, and a color rendering index of ≥90. Color samples were taken from the painted parts of the ancient building to ensure that the color sampling points were the original paint. A CDS-2000 colorimeter was used to collect the color values ​​of the image at the sampling points three times and the average value was taken. The color values ​​of the image at the sampling points were then converted into the current color data using the CDS color design and harmony analysis system. The current color data is: the current color CDS code. For example, such as Figure 3 As shown, based on the calibrated CDS-2000 colorimeter, inside the Qianqiu Pavilion caisson ceiling, with strong ambient light turned off and controlled, the light source was standardized according to a color temperature of 5000-6500K, illuminance of 750-2000lx, and color rendering index ≥90. The green decoration A around the gilded dragon in the Qianqiu Pavilion caisson ceiling, which had not peeled off in large areas, was selected, avoiding areas contaminated by water stains and paint, to ensure that the color sampling point was the original decoration and not a later repair or adjustment. The CDS-2000 colorimeter was placed close to the color sampling point, and the color values ​​of the image at the color sampling point were collected three times and the average value was taken. The current color data was obtained by converting the image at the color sampling point using CDS color design and harmonization analysis. Simultaneously take photos of the color sampling points along with the color chart for easy comparison later; For the green decorative element A, the color quantification communication language of the color design system and the CDS color design harmony analysis software are used to analyze and evaluate the color appearance characteristics of the green decorative element A, mainly analyzing and describing the color quantification relationship and evaluation of color hue H, color quantity c, black quantity b, and white quantity w; like Figure 4 As shown, the green decoration A position in the Qianqiu Pavilion caisson ceiling decoration is first used as the analysis object. The green color of the green decoration A position is extracted from the Qianqiu Pavilion caisson ceiling decoration using a colorimeter, and the reflectance value of the green decoration A position under the standard light source is obtained. Simultaneously, the color positioning and current color CDS code (T90G10w30b38) of the CDS system were obtained, providing quantitative basic data and basis for the analysis of the green decoration A position of the Qianqiu Pavilion caisson ceiling.

[0025] In the hardware processing and acquisition module, the third specific step, calibrating the environmental detector and obtaining the environmental attenuation factor, is as follows: The accuracy of air quality monitors, UV detectors, and temperature and humidity detectors is calibrated in advance. Air quality monitors are used to measure PM2.5, sulfur concentration, and acid concentration. UV detectors are used to measure the UV-A band. Temperature and humidity detectors are used to obtain ambient temperature and humidity. Among them, environmental degradation factors include: PM2.5, sulfur concentration, acid concentration, UV-A band, ambient temperature, and ambient humidity; Original Color Acquisition Module: Acquire color raw material minerals of the same material as the painted parts of the ancient building, measure the color raw material minerals using a CDS-2000 colorimeter, and obtain the original color data of the painted parts of the ancient building; In the primary color acquisition module, the specific process of obtaining the original color data of the painted parts of ancient buildings is as follows: Obtain color raw material ore of the same material as the painted parts of the ancient building, cut the color raw material ore into sections, magnify the sections 2000 times, and measure the magnified color raw material ore sections with a CDS-2000 colorimeter calibrated with a standard light source to obtain the original color data, which includes: original color CDS code; For example, such as Figure 5 As shown, turquoise raw material with the same material as the Qianqiuting caisson ceiling was collected. The turquoise raw material was cut and the cut surface was magnified 2000 times. The magnified turquoise raw material cut surface was measured with a CDS-2000 colorimeter to obtain the original color data. The original color data includes: original color CDS code and Lab value. Color decay law analysis module: By comparing the original color data with the current color data, the decay gradient is constructed using the CL-color level measurement method, and the linear relationship between time and color decay of the ancient building's decorative parts is analyzed. In the attenuation law analysis module, the first specific step, using the CL-color level measurement method to construct the attenuation gradient and analyze the linear relationship between time and the color attenuation of the painted parts of ancient buildings, is as follows: The color quantization and CL-color level measurement method are adopted by inverse intervention of color decay. Each level is calculated in 10 years. The age of the ancient building decoration parts is quantified into N levels. The original color CDS code and the current color CDS code are quantitatively analyzed by CDS color design and harmony analysis system to calculate the lightness decay and chroma decay. A color decay model is constructed based on the linear relationship between lightness decay and chroma decay and time. For example, such as Figure 6 , Figure 7 , Figure 8 As shown, the original color CDS code of the turquoise raw ore (T90G10b05w34) is compared with the current color CDS code of the green decoration A position extracted from the Qianqiuting caisson ceiling decoration (G90T10b30w38). A logical connection is established between the original color CDS code and the existing color CDS code to obtain a color band combining the two colors. The color band is then analyzed on CDS color design and harmonization analysis software to obtain 48 CDS color value codes.

[0026] Analysis using the CL-color level measurement method clearly revealed that every 2 to 3 data points would repeat, meaning that there would be a significant change in blackness measurement every 10 to 20 years. For example, if the CDS code is G90T10b05w34, after 10 years the CDS code will decay to G90T10b06w34, and after 20 years the CDS code will decay to G90T10b07w34. Judging from the caisson ceiling environment and light radiation conditions, the refracted light will have a significant decrease in chroma and brightness over 10 to 20 years. Analysis shows that the decrease in chroma and brightness has a linear relationship with the change over time; Color decay model construction module: Based on the linear relationship between time and the decay of color in the painted parts of ancient buildings, the environmental decay factor is integrated into a comprehensive decay coefficient K. Through multi-factor orthogonal experiments, the real environment of the painted parts of ancient buildings is simulated, the collected data is fitted to the comprehensive decay coefficient K, and a color decay model is constructed based on the decay coefficient K. In the color attenuation model construction module, the first specific step, integrating the environmental attenuation factor into the comprehensive attenuation coefficient K, is as follows: The environmental attenuation factors, including PM2.5, sulfur concentration, acid concentration, UV-A band, ambient temperature, and ambient humidity, are normalized into a single variable, namely the comprehensive attenuation coefficient K. By normalizing PM2.5, sulfur concentration, acid concentration, UV-A band, ambient temperature, and ambient humidity into a single variable, redundancy in calculation and analysis is reduced. In the color attenuation model construction module, the second specific step, which involves simulating the real environment of the painted parts of ancient buildings through multi-factor orthogonal experiments and collecting data to fit the comprehensive attenuation coefficient K, is as follows: The environmental attenuation factor of the painted parts of ancient buildings was simulated, and the factors in the environmental attenuation factor were normalized to obtain the normalized standard value of each factor. The difference ΔE between the color of the aged sample and the initial fresh pigment color was obtained by accelerating the test on the sample material of the decorative part. The difference ΔE was used to perform quantitative analysis on each factor in the environmental attenuation factor through grey relational analysis, and the grey relational degree of each factor was calculated. The grey relational degree of each factor was normalized to obtain the normalized weight of each factor. The normalized weight of each factor was multiplied by the normalized standard value, and the product of the normalized weight and the normalized standard value of all factors was accumulated to obtain the comprehensive attenuation coefficient K. The overall attenuation coefficient K is corrected by utilizing the historical context of the painted decorations on ancient buildings; In the color attenuation model construction module, the third specific step, based on the attenuation coefficient K, is to construct the color attenuation model as follows: Based on the attenuation coefficient K, a color attenuation model is constructed: ,in, This refers to the amount of color attenuation. These are the initial color parameters. For the overall attenuation coefficient, For time; Ancient building restoration module: Based on the color attenuation model, it outputs the original color data according to the collected current color data, which is used to restore the painted parts of ancient buildings; In the ancient building restoration module, the first specific step, outputting the original color data, is as follows: Based on the collected current color data and the age of the painted parts of the ancient building, the original color data is calculated by substituting it into the color decay model and used to restore the painted parts of the ancient building. For example, the green enamel decoration A position of the Qianqiu Pavilion caisson ceiling was collected using a CDS-2000 colorimeter, and the current color CDS code G90T10b30w38 was obtained. Combined with the age of the Qianqiu Pavilion caisson ceiling, the color decay model was substituted to back-calculate the original color data, and the original color CDS code G90T10b05w34 was obtained. The mineral pigments that match the original color were used to make the restoration material for the ancient building's enamel decoration parts according to traditional techniques, and used to restore the ancient building's enamel decoration parts. The technical solution of this invention is as follows: calibrate the colorimeter, use the calibrated colorimeter to sample the color of the ancient building's decorative parts, obtain the current color data of the ancient building's decorative parts, calibrate the environmental monitoring instrument, obtain the environmental attenuation factor, obtain the color raw material ore of the same material as the ancient building's decorative parts, use the CDS-2000 colorimeter to measure the color raw material ore, and obtain the original color data of the ancient building's decorative parts. By comparing the original color data with the current color data, the CL-color level measurement method was used to construct the attenuation gradient. The linear relationship between time and the color attenuation of the ancient building's painted parts was analyzed. Based on the linear relationship between time and the color attenuation of the ancient building's painted parts, the environmental attenuation factor was integrated into a comprehensive attenuation coefficient K. Through multi-factor orthogonal experiments, the real environment of the ancient building's painted parts was simulated, and the collected data was fitted to the comprehensive attenuation coefficient K. Based on the attenuation coefficient K, a color attenuation model was constructed. Based on the color attenuation model, the original color data was output according to the collected current color data, which was used to repair the ancient building's painted parts.

[0027] The colorimeter is calibrated.

[0028] Example 2 like Figure 2 As shown in Example 1, the present invention provides a color sampling method for the restoration of ancient buildings, including: S1: Calibrate the colorimeter, use the calibrated colorimeter to sample the colors of the painted parts of the ancient building, obtain the current color data of the painted parts of the ancient building, calibrate the environmental monitoring instrument, and obtain the environmental attenuation factor; S2: Obtain color raw material ore of the same material as the painted parts of the ancient building, measure the color raw material ore using CDS-2000 colorimeter, and obtain the original color data of the painted parts of the ancient building; S3: By comparing the original color data with the current color data, the CL-color level measurement method is used to construct the attenuation gradient and analyze the linear relationship between time and the attenuation of the colors of the ancient building's decorative parts. S4: Based on the linear relationship between time and the color decay of the painted parts of ancient buildings, the environmental decay factor is integrated into a comprehensive decay coefficient K. Through multi-factor orthogonal experiments, the real environment of the painted parts of ancient buildings is simulated, the collected data is fitted to the comprehensive decay coefficient K, and a color decay model is constructed based on the decay coefficient K. S5: Based on the color attenuation model, it outputs the original color data according to the collected current color data, which is used to repair the painted parts of ancient buildings.

[0029] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.

Claims

1. A color picking system for ancient building restoration, characterized by: include: Hardware processing and current color acquisition module: calibrates the colorimeter, uses the calibrated colorimeter to sample the color of the painted parts of the ancient building, obtains the current color data of the ancient building's painted parts, calibrates the environmental monitoring instrument, and obtains the environmental attenuation factor; Original Color Acquisition Module: Acquire color raw material ore of the same material as the painted parts of the ancient building, measure the color raw material ore using a CDS-2000 colorimeter, and obtain the original color data of the painted parts of the ancient building; Color decay law analysis module: By comparing the original color data with the current color data, the decay gradient is constructed using the CL-color level measurement method, and the linear relationship between time and color decay of the ancient building's decorative parts is analyzed. Color decay model construction module: Based on the linear relationship between time and the decay of color in the painted parts of ancient buildings, the environmental decay factor is integrated into a comprehensive decay coefficient K. Through multi-factor orthogonal experiments, the real environment of the painted parts of ancient buildings is simulated, the collected data is fitted to the comprehensive decay coefficient K, and a color decay model is constructed based on the decay coefficient K. Ancient building restoration module: Based on the color attenuation model, it outputs the original color data according to the collected current color data, which is used to restore the painted parts of ancient buildings.

2. The color picking system for restoration of ancient buildings according to claim 1, characterized in that: The specific process for calibrating the colorimeter is as follows: A CDS-2000 colorimeter was used and calibrated according to the color design system standard. The CDS-2000 colorimeter was compared with a standard color chart to ensure color accuracy. .

3. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process for obtaining the current color data of ancient buildings is as follows: Using a calibrated CDS-2000 colorimeter, the light source was standardized according to a color temperature of 5000-6500K, an illuminance of 750-2000lx, and a color rendering index of ≥90. Color samples were taken from the painted parts of the ancient building to ensure that the sampling points were the original painted parts. A CDS-2000 colorimeter was used to collect the color values ​​of the image at the sampling points three times and the average value was taken. The CDS color design and harmony analysis system was used to convert the color values ​​of the image at the sampling points to obtain the current color data. The current color data is: the current color CDS code.

4. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process for obtaining the environmental degradation factor is as follows: Calibrate the accuracy of air quality monitors, ultraviolet (UV) detectors, and temperature and humidity (THU) meters. Air quality monitors are used to measure PM2.5, sulfur concentration, and acid concentration. UV detectors are used to measure UV-A bands. Temperature and humidity (THU) meters acquire ambient temperature and humidity. Environmental degradation factors include: PM2.5, sulfur concentration, acid concentration, UV-A band, ambient temperature, and ambient humidity.

5. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process for obtaining the original color data of the painted parts of ancient buildings is as follows: Obtain color raw material ore of the same material as the painted parts of the ancient building. Cut the color raw material ore into sections and magnify the sections 2000 times. Measure the magnified color raw material ore sections with a CDS-2000 colorimeter calibrated with a standard light source to obtain the original color data, which includes the original color CDS code.

6. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process for determining whether there is a linear relationship between the analysis time and the color decay of the painted parts of the ancient building is as follows: The method of color quantization and CL-color level measurement is adopted by inverse intervention of color decay. Each level is calculated in 10 years. The age of the painted parts of ancient buildings is quantified into N levels. The original color CDS code and the current color CDS code are quantitatively analyzed by CDS color design and harmony analysis system to calculate the lightness decay and chroma decay. A color decay model is constructed based on the linear relationship between lightness decay and chroma decay and time.

7. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process of integrating environmental attenuation factors into a comprehensive attenuation coefficient K is as follows: The PM2.5, sulfur concentration, acid concentration, UV-A band, ambient temperature, and ambient humidity in the environmental attenuation factor are normalized into a single variable, namely the comprehensive attenuation coefficient K.

8. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process of fitting the comprehensive attenuation coefficient K to the collected data is as follows: The environmental attenuation factor of the painted parts of ancient buildings was simulated, and the factors in the environmental attenuation factor were normalized to obtain the normalized standard value of each factor. The difference ΔE between the color of the aged sample and the initial fresh pigment color was obtained by accelerating the test on the material sample of the decorative part. The difference ΔE was used to perform quantitative analysis on each factor in the environmental attenuation factor through grey relational analysis, and the grey relational degree of each factor was calculated. The grey relational degree of each factor was normalized to obtain the normalized weight of each factor. The normalized weight of each factor was multiplied by the normalized standard value, and the product of the normalized weight and the normalized standard value of all factors was accumulated to obtain the comprehensive attenuation coefficient K.

9. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process for constructing the color attenuation model is as follows: Based on the attenuation coefficient K, a color attenuation model is constructed: ,in, This refers to the amount of color attenuation. These are the initial color parameters. For the overall attenuation coefficient, For time.

10. The color-selective system for ancient building restoration according to claim 1, characterized in that: The specific process of outputting the original color data is as follows: Based on the collected current color data and the time period of the painted parts of the ancient buildings, the original color data is calculated by substituting them into the color decay model.

Images