CN109978818B - Evaluation method for cleaning result of yellow mud on surface of slogan - Google Patents

Evaluation method for cleaning result of yellow mud on surface of slogan Download PDF

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CN109978818B
CN109978818B CN201811628482.XA CN201811628482A CN109978818B CN 109978818 B CN109978818 B CN 109978818B CN 201811628482 A CN201811628482 A CN 201811628482A CN 109978818 B CN109978818 B CN 109978818B
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area
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CN109978818A (en
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王菊琳
刘波涛
晏雪飞
喻婷
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Hanlin Garden Xiamen Wenbo Technology Co ltd
Beijing University of Chemical Technology
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Hanlin Garden Xiamen Wenbo Technology Co ltd
Beijing University of Chemical Technology
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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B08—CLEANING
    • B08B—CLEANING IN GENERAL; PREVENTION OF FOULING IN GENERAL
    • B08B3/00—Cleaning by methods involving the use or presence of liquid or steam
    • B08B3/04—Cleaning involving contact with liquid
    • B08B3/08—Cleaning involving contact with liquid the liquid having chemical or dissolving effect
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics

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Abstract

An evaluation method for a slogan surface yellow mud cleaning result belongs to the technical field of slogan surface cleaning evaluation. According to the analysis of a large amount of scientific survey and test data In the laboratory, a FIO (five In one) method is provided for evaluating the effect and the side effect of cleaning pollutants, wherein a pollutant residue method is used for evaluating the cleaning effect, and a pH value method, a color difference analysis method, a wear area ratio analysis method and a hardness change rate analysis method are used for evaluating the cleaning side effect. The FIO method can integrate the five evaluation methods, so as to scientifically and comprehensively judge the cleaning result.

Description

Evaluation method for cleaning result of yellow mud on surface of slogan
Technical Field
The invention belongs to the technical field of surface cleaning evaluation of slogans, and particularly relates to an evaluation method for a cleaning result of yellow mud on the surface of a slogan.
Background
At present, the cleaning technology for cultural relics is relatively mature, such as adsorption desalination technology, chemical cleaning technology, steam jet cleaning technology, particle jet cleaning technology, laser cleaning technology, ultrasonic cleaning technology and the like. However, the evaluation of the cleaning result lacks a uniform standard, most of the cleaning results are evaluated by a direct observation method, and different people may draw different conclusions about the same cleaning result according to the evaluation of the cleaning result by experience, so that the direct observation method has high subjectivity and lacks scientificity. In addition, surface color measurement, hardness measurement, strength measurement and the like are respectively carried out on the cleaning results of the surface of the cultural relic, but the single judging methods have obvious limitations, and the cleaning effect cannot be comprehensively judged on the advantages and disadvantages of a single value.
According to the protection criterion of ancient cultural relics in China, the protection and repair of the ancient cultural relics need to meet the principles of 'no change of the original state of the cultural relics' and 'minimum human intervention', namely, the cultural relics cannot be damaged by the cleaning work on the surfaces of the cultural relics, so that the evaluation of the cleaning result of the cultural relics is very important, a certain cleaning effect is achieved, and meanwhile, excessive cleaning cannot be carried out, and the cultural relic body cannot be damaged.
Disclosure of Invention
According to a large amount of scientific survey and test data In the laboratory, the data are analyzed, and the cleaning effect and the side effect of pollutants are evaluated by an FIO (five In one) method, wherein the pollutant residue method is used for evaluating the cleaning effect, and the pH value method, the chromatic aberration analysis method, the abrasion area ratio analysis method and the hardness change rate analysis method are used for evaluating the cleaning side effect. The FIO method can integrate the five evaluation methods, so as to scientifically and comprehensively judge the cleaning result.
A method for evaluating the cleaning result of yellow mud on the surface of a slogan is characterized by comprising the following specific implementation steps of:
evaluating cleaning results by adopting five methods respectively, and evaluating the five cleaning results as pollutant residue, pH value, color difference analysis, surface wear area ratio and surface hardness analysis according to corresponding detection results respectively to be excellent, better, qualified, poorer and extremely poor;
the method comprises the following specific steps:
(1) method for remaining pollutants
In order to meet the minimum intervention principle of cultural relic protection, the pollutant cleaning is completed in the shortest time possible by using a cleaning agent with the lowest concentration as possible and taking the condition that no pollutant is observed by naked eyes and the cultural relic body is not damaged as a cleaning endpoint. If the surface of the cultural relic still has the pollutants and the cultural relic is damaged by the continuous cleaning, the cleaning is stopped and the pollutants are remained. Therefore, the analysis of the residual rate of contaminants is crucial to the evaluation of the cleaning results.
Conventionally, the cleaning effect evaluation of the surface pollutants of the cultural relics is mainly based on a visual inspection method, but the method is greatly influenced by human factors. The pollutant residue evaluation method provided by the invention can greatly reduce the influence of human factors. For some slogans, the most serious contaminant is yellow mud, and the cleaning effectiveness of the slogans can be evaluated using this method.
The contaminant residual rate is an area ratio of an area where the contaminants remain to the cleaning area. The specific operation steps of the pollutant residue method are as follows:
firstly, defining an area needing to be cleaned, cleaning the area, and taking pictures of the defined area and the cleaned area by using a digital camera.
And secondly, observing the photo after the cleaning is finished, and coiling the area of the surface, which still has the pollutants, by using a black line by using Photoshop software.
Thirdly, calculating the area ratio of the black coil area to the cleaning area by using Photoshop software, namely the pollutant residual rate.
The correspondence between the remaining rate of contaminants and the cleaning results is shown in table 1.
TABLE 1 correlation between contaminant residual rate and cleaning result
Figure GDA0003113562190000021
(2) Method of pH value
Acidic or alkaline cleaners may cause some damage to the cultural relics, so that the cultural relic cleaner is required to be as close to neutral as possible, and the evaluation of the change of the acidity or alkalinity of the surface of the cultural relics caused by the cleaner is very important. After the cleaning was completed, the side effects of the cleaning results were evaluated by the rate of change of pH in the uncontaminated and post-cleaning areas of the surface of the slogan. The specific operation steps are as follows:
firstly, according to a surface pH value measuring method of SN/T2302.1-2009, pH values of slogans and carrier surfaces before and after cleaning are detected by a pH meter, and the operation steps are as follows: dripping a proper amount of deionized water to the surface to be detected by a dropper to fully wet the surface to be detected; vertically pointing the flat-head electrode to the surface to be measured, and applying certain pressure to make the flat-head electrode tightly contact with the wetted part; simultaneously, a stopwatch is pressed for timing, and a test value is read after a certain time interval (180s) till the pH value tends to be stable; and selecting the pH values of 5 positions to calculate the average value as the surface pH value before and after cleaning.
② the pH value P of the uncontaminated region on the surface of the slogan1And pH value P after cleaning2The pH change rate ψ before and after cleaning was calculated according to formula 1, and the cleaning results were evaluated according to table 2.
Figure GDA0003113562190000022
TABLE 2 correspondence between pH variation rate psi and washing result grade
Figure GDA0003113562190000023
(3) Color difference analysis method
The consistency of the appearance color of the cleaned area of the object after cleaning and the appearance color of the uncontaminated area is also an important index. And evaluating the appearance color index after cleaning by adopting a color difference analysis method.
According to the regulation of GB/T1766-. The value of L represents the lightness, and is from 0 (black) to 100 (white), + a represents red, -a represents green, + b represents yellow, and-b represents blue. And analyzing whether the detected object has color change and color fading and the degree thereof according to the colorimetric value. When two colors are respectively marked by L, a and b, the color difference delta E ═ L1-L2)2+(a1-a2)2+(b1-b2)2]1/2(wherein L1、a1、b1The colorimetric value of the original material of the uncontaminated area is shown; l is2、a2、b2The colorimetric value of the material of the cleaned region). The conversion relation between the NBS and the delta E color difference value is that NBS is 0.92 multiplied by delta E;
and obtaining the color difference value of the uncontaminated area and the cleaned area through a color difference calculation formula, and judging the cleaning result according to the table 3.
TABLE 3 correlation between color difference values and washing results
Delta E color difference value NBS color difference value Cleaning results
0≤ΔE＜0.54 0≤NBS＜0.5 Is excellent in
0.54≤ΔE＜3.26 0.5≤NBS＜3.0 Is preferably used
3.26≤ΔE＜6.52 3.0≤NBS＜6.0 Qualified
6.52≤ΔE＜13.04 6.0≤NBS＜12.0 Is poor
ΔE≥13.04 NBS≥12.0 Extreme difference
(4) Surface wear area ratio
And evaluating the damage degree of the cleaning to the surface of the cultural relic by adopting the surface wear area ratio. The surface wear area ratio is an area ratio of a surface worn area to a cleaning area after cleaning. Physical cleaning and chemical cleaning may cause some micro damage to the surface of the cultural relic, and the micro damage is difficult to observe by naked eyes and needs to be observed by a microscope. The specific implementation steps are as follows:
firstly, a video microscope is used for photographing an area to be cleaned by magnifying by 200 times, and the area is photographed by magnifying by 200 times after cleaning is finished.
And secondly, comparing the photos before and after cleaning, and using Photoshop software to circle the worn area on the surface after cleaning.
Thirdly, calculating the percentage of the area of the black coil area in the total area of the photo by using Photoshop software, namely surface abrasion.
The correspondence between the surface wear rate and the cleaning results is shown in table 4. The method can be used only when the surface abrasion can not be observed by naked eyes after the cleaning is finished, and if the surface abrasion can be directly observed by naked eyes, the index detection result is regarded as extremely poor.
TABLE 4 correlation of surface wear rate to cleaning results
Figure GDA0003113562190000031
(5) Surface hardness analysis method
And evaluating the influence of cleaning on the mechanical property of the cultural relic by adopting a surface hardness analysis method.
The Leeb hardness tester uses an impact body with certain mass to impact the surface of a sample under certain test force action, measures the impact speed and rebound speed of the impact body at a position 1mm away from the surface of the sample, and has the calculation formula as follows: HL 1000 (VB/VA), wherein: HL-the symbol of the Leeb hardness; VA is the impact velocity of the ball head, m/s; VB is the rebound velocity of the ball head, m/s. The intact region of the slogan and the region after cleaning are detected by referring to a JB/T9378-2001 Leeb hardness tester, and the Leeb hardness value can be used for evaluating the surface structure of the material.
10 test points are selected to obtain 10 data, and then the average value is calculated to obtain the Leeb hardness value of the test object.
Determining the intact area of slogansHardness value H of the interior1And the linear hardness value H of the cleaned area2The surface hardness change rate ω was calculated according to the formula 2, and the cleaning result was evaluated according to table 5.
Figure GDA0003113562190000041
TABLE 5 correlation between surface hardness change rate omega and cleaning result grade
Figure GDA0003113562190000042
(II) comprehensive evaluation of cleaning results
(1) The cleaning results are detected by the five detection methods respectively, and the cleaning results of each method are recorded: excellent, better, qualified, worse, and extremely bad.
(2) The FIO diagram is drawn as shown in the left diagram of FIG. 2. Drawing a 5-edge structure, wherein 5 top ends respectively correspond to a pollutant residue method, a pH value method, a chromatic aberration analysis method, a surface wear area ratio method and a surface hardness analysis method, four nested small pentagonal structures which are parallel and similar to the pentagonal structures are sequentially manufactured from the centers of the pentagons to the outside, and five points from the outside to the inside on five lines respectively correspond to excellent, better, qualified, poorer and extremely poor points;
(3) respectively finding out corresponding vertexes according to the cleaning result obtained by each detection method, connecting the found five vertexes to form a new pentagon, and representing the interior by using a shadow; as shown in the right diagram of FIG. 2, the cleaning results of the five indexes in the diagram respectively correspond to a better pH value method, a poorer pollutant residue method, a better color difference analysis method, a qualified surface wear rate analysis method and a qualified hardness change rate analysis method, and the direct effect of each method can be visually seen from the diagram;
(4) determining a weight factor Q of the parameter by using a 0-4 scoring method according to the correlation between the 5 evaluation methods and the cleaning effect; the use rule of the 0-4 scoring method is that when the indexes are compared one by one, the scoring distance is enlarged, namely the importance degree is merged into the comparison. If the importance of the two elements is greatly different, the important is given a score of 4, and the unimportant is given a score of 0; if the importance of the two elements is not very different, the important is scored by 3, and the unimportant is scored by 1; if the importance of the two indexes is basically not different, 2 points are respectively marked; the sum of the scores of pairwise comparisons must equal 4 points; the weights are then calculated according to the cumulative scores.
The specific weight calculation by the 0-4 scoring method is shown in table 6, and the point value corresponding to the cleaning effect is shown in table 7.
TABLE 60-4 scoring method weight calculation TABLE
Figure GDA0003113562190000043
Figure GDA0003113562190000051
TABLE 7 cleaning results and corresponding point values
Number i 1 2 3 4 5
Cleaning results Is excellent in Is preferably used Qualified Is poor Extreme difference
Dot value P i 1 0.8 0.6 0.4 0.2
And finally, calculating each index by adopting a weighted average method according to a formula 3 to obtain a cleaning result comprehensive evaluation value W. According to
The correspondence of table 8 gives the overall cleaning results.
Figure GDA0003113562190000052
Wherein W is a comprehensive evaluation value of cleaning results, QiWeight values of the evaluation methods, Pi-point value corresponding to the washing result level.
TABLE 8 correspondence of evaluation values W to integrated cleaning results
Figure GDA0003113562190000053
Compared with the existing cleaning result evaluation method, the method has the following advantages:
(1) five evaluation methods are provided aiming at the cleaning result of the slogan from five angles of the residual rate of pollutants, the change of the acid-base property of the surface after cleaning, the change of the appearance color of the surface after cleaning, the abrasion of the slogan caused by cleaning and the influence of the cleaning on the mechanical property of the slogan, so that the evaluation is more scientific and comprehensive.
(2) The detection results of the five evaluation methods can be intuitively and quickly observed through the FIO diagram.
(3) The FIO method gives weight values corresponding to the five evaluation methods and point values corresponding to the cleaning result, and the five evaluation methods are integrated through a weighted average method to obtain an integrated cleaning result.
Obviously, the patent of the invention not only applies to slogans, but also to the evaluation of the cleaning results of other types of cultural relics, and can generate a plurality of variants, and all variants can be directly derived or suggested by a person skilled in the art from the disclosure of the patent of the invention and are considered to be the protection scope of the patent of the invention.
Drawings
Fig. 1 is a technical route diagram of the present invention.
FIG. 2 is a FIO diagram showing the cleaning results.
FIG. 3 is a cleaning technique roadmap.
Fig. 4 photograph of lime mud cleaning process.
(a) Fresh brick samples, (b) lime water brushing, (c) yellow mud brushing, (d) mechanical stripping, and (e) chemical cleaning.
Fig. 5 cleans the contaminant residual area after completion of the cleaning.
FIG. 6 surface microtopography before and after cleaning (200X magnification).
(a) Fresh lime samples, and (b) after cleaning, the area in the black frame is the area where abrasion occurs.
FIG. 7 is a FIO diagram showing the cleaning results of a simulation base stick sample.
Detailed Description
The present invention will be further illustrated with reference to the following examples, but the present invention is not limited to the following examples.
Example 1
The practice of the invention is further illustrated by the slogan simulating the washing of the sample. The washing technical route of the slogan is shown in fig. 3.
Sample preparation: cutting the blue brick into a sample of 5cm multiplied by 1cm, painting lime water on the surface of the sample to simulate white characters on the surface of the blue brick, and then curing for 7 days in a natural state. Preparing lime mud after curing, sieving loess by a 60-mesh sieve, adding water accounting for 15% of the mass of the loess and slaked lime accounting for 5% of the mass of the loess, uniformly stirring, coating the mixture on the surface of a sample to completely cover a white area, and curing for 7 days in a natural state.
Photograph of the cleaning process as shown in fig. 4, the cleaning process was as follows:
(1) mechanical layer-by-layer peeling: when thick lime mud on the slogan is cleaned, the lime mud layer is wetted by distilled water to be soft and loose, and then the yellow mud layer is peeled layer by a medical scalpel until the thickness of the mud layer is about 0.5 mm.
(2) Preparing a cleaning agent: preparing a 5% EDTA disodium salt solution, and then adding a proper amount of ammonium bicarbonate solution into the solution until the pH value of the solution is 6.5-7.5.
(3) Dipping a proper amount of chemical cleaning agent by using a cotton ball to clean the surface of the lime ground layer.
(4) The area was spray cleaned with a small spray of deionized water to remove residual solvent.
And (I) respectively evaluating the cleaning results.
(1) Method for remaining pollutants
The areas of contaminant residue on the surface of the sample after cleaning is shown in fig. 5. The part of the black coil is the area with the residual pollutants, and through calculation of Photoshop software, the pixel point occupied by the residual pollutant area is 224469, and the pixel point occupied by the cleaning area is 2705717, so that the residual pollutant rate is 8.30%, and the cleaning result is better according to judgment of the table 1.
(2) Method of pH value
The pH value of the white area before the yellow slurry is coated is 8.0, the pH value of the surface of the sample after the cleaning is finished is 7.4, and the change rate of the pH value is
Figure GDA0003113562190000071
The cleaning results were better as judged from table 2.
(3) Color difference analysis method
The L, a, b values for the white area before application of the lime mud and after completion of the cleaning were recorded as shown in table 9.
TABLE 9 recording table of colorimetric values before and after cleaning
Item L a b
Before coating lime mud 90.2 1.3 4.4
After the cleaning is finished 87.0 0.8 3.5
The color difference value delta E before the lime mud is coated and after the lime mud is cleaned is 3.36 through calculation, and the cleaning effect is judged to be qualified according to the table 3.
(4) Surface wear area ratio analysis method
As shown in fig. 6, the area within the black frame is an area where wear occurs.
Photoshop is adopted to calculate that the area of the selected region accounts for 2.92% of the area of the cleaning region, and the cleaning result is judged to be better according to the table 4.
(5) Hardness change rate analysis method
The hardness value of the surface before the lime mud is coated is 254, the hardness value after the cleaning is 230, the hardness change rate obtained according to the formula 2 is 9.45%, and the cleaning result is judged to be better according to the table 5.
(II) comprehensively evaluating the cleaning result by adopting an FIO method
(1) FIO is plotted from the above analysis results as shown in FIG. 7, and the evaluation results of each evaluation method can be visually seen from FIG. 7.
(2) The cleaning result comprehensive evaluation value is calculated by formula 3.
Figure GDA0003113562190000072
From table 8, it can be judged that the comprehensive cleaning result is good.

Claims (1)

1. A method for evaluating the cleaning effect of yellow mud on the surface of a slogan is characterized by comprising the following steps:
A. method for remaining pollutants
The pollutant residual rate is the area ratio of the area with the residual pollutants to the cleaning area, and the specific operation steps of the pollutant residual method are as follows:
(1) firstly, defining an area needing to be cleaned, cleaning the area, and taking a picture of the area needing to be cleaned and the area after cleaning by using a digital camera;
(2) observing the cleaned photo, and coiling the area of the surface still remaining with the pollutants after the cleaning by using a Photoshop software;
(3) calculating the area ratio of the black coil area to the cleaning area by using Photoshop software, namely the pollutant residual rate epsilon%; when the epsilon is more than or equal to 0 and less than or equal to 5, the cleaning effect is excellent, when the epsilon is more than 5 and less than or equal to 10, the cleaning effect is better, when the epsilon is more than 10 and less than or equal to 15, the cleaning effect is qualified, when the epsilon is more than 15 and less than or equal to 20, the cleaning effect is poorer, and when the epsilon is more than 20, the cleaning effect is extremely poor;
B. method of pH value
After the cleaning, the side effect of the cleaning result is evaluated by the change rate of the pH of the uncontaminated region and the cleaned region on the surface of the slogan, which is specifically as follows:
(1) according to the SN/T2302.1-2009 surface pH value measuring method, pH values of the slogan and the carrier surface before and after cleaning are checked by a pH meter, and the operation steps are as follows: dripping a proper amount of deionized water to the surface to be detected by a dropper to fully wet the surface to be detected; vertically pointing the flat-head electrode to the surface to be measured, and applying certain pressure to make the flat-head electrode tightly contact with the wetted part; simultaneously, a stopwatch is pressed for timing, and a test value is read after a certain time interval of 180s till the pH value tends to be stable; selecting the pH values of 5 points to calculate an average value as the surface pH values before and after cleaning;
(2) measuring the pH value P of the uncontaminated region on the surface of the slogan1And pH value P after cleaning2Calculating the pH value change rate psi/%, before and after cleaning, according to the following formula;
Figure FDA0003113562180000011
when psi is more than or equal to 0 and less than or equal to 5, the cleaning effect is excellent; when psi is more than 5 and less than or equal to 10, the cleaning effect is better; when psi is more than 10 and less than or equal to 20, the cleaning effect is qualified; when psi is more than 20 and less than or equal to 25, the cleaning effect is poor; when ψ >25, the cleaning effect is extremely poor;
C. color difference analysis method
According to the regulation of GB/T1766-; the value of L represents the brightness of light, the value is 0-100, 0 represents black, 100 represents white, + a represents red, -a represents green, + b represents yellow, -b represents blue; whether the detected object has color change and color fading and the degree thereof can be analyzed according to the colorimetric value; when two colors are respectively marked by L, a and b, the total color difference delta E is ═ L1-L2)2+(a1-a2)2+(b1-b2)2]1/2Wherein L is1、a1、b1The colorimetric value of the original material of the uncontaminated area is shown; l is2、a2、b2The chroma value of the material of the cleaned area is shown; the conversion relation between the NBS color difference unit and the delta E color difference value is NBS which is 0.92 multiplied by delta E;
when the delta E is more than or equal to 0 and less than 0.54, the cleaning effect is excellent when the NBS is more than or equal to 0 and less than 0.5, when the delta E is more than or equal to 0.54 and less than 3.26 and more than or equal to 0.5 and less than 3.0, the cleaning effect is good when the delta E is more than or equal to 3.26 and less than 6.52 and less than or equal to 3.0 and less than 6.0, when the delta E is more than or equal to 6.52 and less than 13.04 and the NBS is more than or equal to 6.0, the cleaning effect is very poor when the delta E is more than or equal to 13.04 and the NBS is more than or equal to 12.0;
D. surface wear area ratio method
The observation is carried out by a microscope, and the specific implementation steps are as follows:
(1) a video microscope is adopted to photograph the area to be cleaned by amplifying by 200 times, and after the cleaning is finished, the area is photographed by amplifying by 200 times;
(2) comparing the photos before and after cleaning, and using Photoshop software to coil out the worn area on the surface after cleaning;
(3) calculating the percentage of the area of the black coil area in the total area of the photo by using Photoshop software, namely the surface wear rate lambda/%; when the lambda is more than or equal to 0 and less than or equal to 2, the cleaning effect is excellent, when the lambda is more than 2 and less than or equal to 5, the cleaning effect is better, when the lambda is more than 5 and less than or equal to 10, the cleaning effect is qualified, when the lambda is more than 10 and less than or equal to 20, the cleaning effect is poorer, and when the lambda is more than 20, the cleaning effect is extremely poor; the method can be used only when surface abrasion cannot be observed by naked eyes after cleaning is finished, and if the surface abrasion can be directly observed by naked eyes, the index detection result is regarded as extremely poor;
E. surface hardness analysis method
The method comprises the following steps of evaluating the influence of cleaning on the mechanical property of the cultural relics by adopting a surface hardness analysis method, wherein a Leeb hardness tester impacts the surface of a sample by using an impact body with certain mass under a certain test force action, and measures the impact speed and rebound speed of the impact body at a position 1mm away from the surface of the sample, and the calculation formula is as follows:
HL＝1000*(VB/VA)
in the formula: HL-Leeb hardness; VA is the impact velocity of the ball head, m/s; VB is the rebound speed of the ball head, m/s;
selecting 10 test points to obtain 10 data, and calculating an average value to obtain the Leeb hardness value of the test object; determination of the internal hardness H of the intact region of the slogan1And the linear hardness value H of the cleaned area2Calculating the surface hardness change rate omega% according to the following formula; when omega is more than or equal to 0 and less than or equal to 5, the cleaning effect is excellent, the cleaning effect is better when omega is more than 5 and less than or equal to 10, the cleaning effect is qualified when omega is more than 10 and less than or equal to 15, and omega is more than 15 and less than or equal to 20Poor cleaning effect, omega>20, the cleaning effect is extremely poor;
Figure FDA0003113562180000021
F. comprehensive evaluation of cleaning results
(1) Drawing a FIO (Fidelity image) diagram, namely drawing a 5-edge structure, wherein 5 top ends respectively correspond to a pollutant retention method, a pH value method, a chromatic aberration analysis method, a surface wear area ratio method and a surface hardness analysis method, four nested small-edge structures which are parallel and similar to the five-edge structure are sequentially manufactured from the center of the five-edge structure to the outside, and five vertexes from the outside to the inside on a five-line respectively correspond to excellent, better, qualified, poorer and extremely poor; dot value Pi1, 0.8, 0.6, 0.4, 0.2;
(2) respectively finding out corresponding vertexes according to the evaluation result of each detection method, connecting the five found vertexes to form a new pentagon, wherein the interior of the new pentagon is represented by a shaded part, and the evaluation result of each method can be visually seen from the figure;
(3) determining a weight factor Q of the parameter by using a 0-4 scoring method according to the correlation between the 5 evaluation methods and the cleaning effect; the use rule of the 0-4 scoring method is that when the indexes are compared one by one, the scoring distance is enlarged, namely the importance degree is integrated into the comparison; if the importance of the two elements is greatly different, the important is given a score of 4, and the unimportant is given a score of 0; if the importance of the two elements is not very different, the important is scored by 3, and the unimportant is scored by 1; if the importance of the two indexes is basically not different, 2 points are respectively marked; the sum of the scores of pairwise comparison must be equal to 4 points, and then the weight is calculated according to the accumulated scores; obtaining the weight values Qi of a pollutant residue method, a PH value method, a chromatic aberration analysis method, a surface wear rate analysis method and a hardness change rate analysis method by a 0-4 scoring method, wherein the weight values Qi are respectively 0.35, 0.275, 0.2, 0.125 and 0.05;
(4) finally, calculating each index by adopting a weighted average method according to the following formula to obtain a cleaning result comprehensive evaluation value W;
Figure FDA0003113562180000022
wherein W is a comprehensive evaluation value of cleaning results, QiWeight values of the evaluation methods, Pi-point values corresponding to the washing result grades;
when the comprehensive evaluation value W/percent is greater than or equal to 100, greater than or equal to 90, greater than or equal to 80, greater than or equal to 60, greater than or equal to 40, and W is less than 40, the comprehensive cleaning effect is excellent, good, qualified, poor and extremely poor.
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