Second-hand commodity evaluation method and system based on appearance function double-track grading

Abstract

The invention relates to the technical field of second-hand evaluation, in particular to a second-hand commodity evaluation method and system based on appearance function double-track grading, and the method comprises the following steps: comparing a second-hand commodity picture with a picture of a brand new commodity of the same style, recognizing the appearance defect of the second-hand commodity, and determining the second-hand commodity according to the type of the appearance defect and the corresponding coverage range; and evaluating the appearance integrity level of the second-hand commodity to obtain an appearance integrity evaluation result. According to the invention, by comparing the appearances of the second-hand commodity and the brand new commodity, identifying the defects of the second-hand commodity, combining evaluation with the functional information and the maintenance record of the commodity, and considering the maintenance type and frequency, the functional state of the commodity can be accurately judged, and the service life of the commodity can be accurately judged by comparing the used time of the commodity with the average life of the same new commodity. The remaining service life can be effectively estimated, a scientific basis is provided for pricing of second-hand commodities, and judgment of the commodity value is more comprehensive and scientific by combining double evaluation of appearance and functions.

Description

Technical Field

[0001] The present invention relates to the field of second-hand evaluation technology, and in particular to a second-hand commodity evaluation method and system based on dual-track grading of appearance and function. Background Art

[0002] The field of second-hand appraisal technology involves the systematic analysis and assessment of the condition, value and suitability of used items. This field uses various techniques and methods, such as visual inspection, functional testing and market trend analysis, to determine the current state and market value of an item. In addition, second-hand appraisals may also include estimates of the item's need for repair, possible renovation and resale value, so that buyers and sellers have a clear and fair value benchmark in the transaction.

[0003] Among them, the second-hand goods evaluation method refers to the technical method used to determine the value of second-hand goods. The method aims to evaluate factors such as the appearance wear and tear, technical performance, remaining service life and market demand of the goods, so as to provide buyers and sellers with a reliable commodity value evaluation. The purpose of this topic is to help users make quick and accurate value judgments on second-hand goods, optimize the buying and selling decision-making process, reduce transaction risks, and also provide a reference for price setting in the second-hand market.

[0004] Traditional evaluation methods rely on relatively subjective evaluation methods such as visual inspection and functional testing. They lack a comprehensive analysis of the detailed condition of the goods and ignore in-depth comparisons of the goods’ repair history and service life, making it impossible to accurately estimate the residual value of the goods. They fail to fully consider the price dynamics between new and second-hand goods of the same model, making the evaluation results lack market sensitivity to a certain extent, limiting the accuracy and fairness of second-hand goods evaluation, resulting in different understandings of the value of goods between buyers and sellers during the transaction process, increasing transaction uncertainty and the risk of disputes. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a second-hand commodity evaluation method and system based on dual-track grading of appearance and function.

[0006] In order to achieve the above-mentioned purpose, the present invention adopts the following technical solution: a second-hand commodity evaluation method based on dual-track grading of appearance and function, comprising the following steps:

[0007] S1: Based on the pictures of second-hand goods, compare them with pictures of new goods of the same style to identify the appearance defects of second-hand goods, including scratches, paint loss and surface wear, and evaluate the appearance integrity level of second-hand goods according to the type of appearance defects and the corresponding coverage, and obtain the appearance integrity evaluation results;

[0008] S2: Based on the functional information and maintenance records of the second-hand goods provided by the user, the functional integrity level of the second-hand goods is evaluated according to the type and number of functional problems, combined with the type and number of maintenance, to obtain the functional integrity evaluation result;

[0009] S3: Based on the functional integrity assessment result, the remaining service life of the second-hand product is assessed according to the usage time of the second-hand product and the average service life of the same product, and a remaining service life assessment result is obtained;

[0010] S4: Based on the appearance integrity assessment results, the functional integrity assessment results and the remaining service life assessment results, the quality level of the second-hand goods is assessed, and combined with the price of the new goods, the current price of the second-hand goods is assessed to obtain the second-hand goods assessment results.

[0011] The present invention is improved in that the method for identifying the appearance defects of second-hand goods is:

[0012] S111: Based on the second-hand goods, collect pictures of new goods of the same style, and take pictures of the second-hand goods according to the shooting angle of the pictures of the new goods to obtain picture information of the second-hand goods;

[0013] S112: Based on the image information of the second-hand product, compare it with the image of a new product of the same style, using the formula:

[0014]

[0015] Calculate the deviation index of the pixel;

[0016] Among them, P R , P G , P B Represents the red, green, and blue channel values ​​of the pixels in the second-hand goods image, Q R , Q G , Q B They represent the values ​​of the red, green, and blue channels of the corresponding pixels in the new product image, and D represents the deviation index of the pixel;

[0017] S113: Based on the deviation index of the pixel point, the deviation index is compared with a preset deviation threshold, and the pixel point whose deviation index exceeds the preset deviation threshold is marked as a defective pixel point to obtain an appearance defect recognition result.

[0018] The present invention is improved in that the steps of obtaining the appearance integrity evaluation result are:

[0019] S121: Based on the appearance defect recognition result, extract the area of ​​each defect and collect the total surface area of ​​the product to obtain appearance related data;

[0020] S122: Based on the appearance-related data, combined with the maximum appearance integrity level and the minimum appearance integrity level, the formula:

[0021]

[0022] Calculate the appearance integrity level, evaluate the appearance integrity of the second-hand goods, and obtain the appearance integrity evaluation result;

[0023] Among them, N L Indicates the number of defect types, K L is the adjustment factor, L max is the maximum appearance integrity level, w i is the weight of the i-th defect, A i is the area of ​​the ith defect, A total is the total surface area of ​​the commodity, L min is the minimum appearance integrity level, and L is the appearance integrity level.

[0024] The present invention is improved in that the step of obtaining the functional integrity evaluation result is:

[0025] S211: extracting the types and quantities of functional problems of the second-hand goods based on the functional information and maintenance records of the second-hand goods provided by the user, and analyzing the maintenance records of the goods to extract the maintenance types and corresponding times, and obtain function-related data;

[0026] S212: Based on the function association data, by formula:

[0027]

[0028] Calculate the functional integrity level, evaluate the functional integrity of the second-hand goods, and obtain the functional integrity evaluation result;

[0029] Among them, F max is the maximum functional integrity level, F min is the minimum functional integrity level, K f and K r is the adjustment factor, N F is the total number of functional problem types, N K is the total number of maintenance types, w fj represents the weight of the jth functional problem, F j is the number of occurrences of the jth functional problem, w rk represents the weight of the kth maintenance type, R k is the number of executions of the kth maintenance type, and F is the functional integrity level.

[0030] The present invention is improved in that the steps for obtaining the remaining useful life assessment result are:

[0031] S311: extracting the start time of product use based on the user's product use record, analyzing the start time and the current time length, and obtaining the product use time;

[0032] S312: Based on the usage time of the product, collect service life data of the same product, calculate the average service life of the same product, and obtain service life related data;

[0033] S313: Based on the service life correlation number and the functional integrity evaluation result, the formula:

[0034] T=max((1-β T ·(F max -F))·(T avg -T used ),0

[0035] Calculate the remaining useful life of second-hand goods and obtain the remaining useful life assessment result;

[0036] Where T is the remaining useful life, β T is the adjustment factor, F max is the maximum functional integrity level, F is the functional integrity level, T avg is the average service life of the same new product, T used The time the product has been used.

[0037] The present invention is improved in that the method for evaluating the quality grade of second-hand goods is:

[0038] S411: extracting the appearance integrity level, functional integrity level and remaining service life of the second-hand goods based on the appearance integrity assessment result, functional integrity assessment result and remaining service life assessment result to obtain quality-related data;

[0039] S412: Based on the quality-related data, by formula:

[0040]

[0041] Calculate the quality grade of second-hand goods and obtain the quality assessment result of second-hand goods;

[0042] Among them, λ L , F , T is the weight coefficient, F is the functional integrity level, T is the remaining service life, F is the functional integrity level, T avg is the average service life of the same new product, L is the appearance integrity level, Q min is the lowest quality level, and Q is the quality level.

[0043] The present invention is improved in that the steps of obtaining the second-hand commodity evaluation result are:

[0044] S421: Based on the second-hand commodity quality assessment result, extract the maximum quality grade of the same commodity and the price of a new commodity to obtain second-hand price related data;

[0045] S422: Based on the second-hand price associated data, the formula:

[0046]

[0047] Calculate the price of second-hand goods and obtain the evaluation results of second-hand goods;

[0048] Among them, P used is the price of second-hand goods, P new is the price of a new product, and Q is the quality grade. max is the maximum quality level, γ P is the adjustment coefficient, δ P is the offset coefficient.

[0049] A second-hand commodity evaluation system based on dual-track grading of appearance and function, the second-hand commodity evaluation system based on dual-track grading of appearance and function is used to execute the second-hand commodity evaluation method based on dual-track grading of appearance and function, the system comprises:

[0050] The product appearance analysis module compares the pictures of second-hand products with pictures of new products of the same style to identify the appearance defects of second-hand products, including scratches, paint peeling and surface wear, and evaluates the appearance integrity level of second-hand products according to the type of appearance defects and the corresponding coverage, and obtains the appearance integrity evaluation results;

[0051] The product function analysis module evaluates the functional integrity level of the second-hand product based on the functional information and maintenance records of the second-hand product provided by the user, according to the type and number of functional problems, combined with the type and number of repairs, and obtains the functional integrity evaluation result;

[0052] The product life evaluation module evaluates the remaining service life of the second-hand product based on the functional integrity evaluation result, according to the usage time of the second-hand product and the average service life of the same product, and obtains the remaining service life evaluation result;

[0053] The product quality analysis module evaluates the quality level of the second-hand product based on the appearance integrity evaluation result, the functional integrity evaluation result and the remaining service life evaluation result to obtain a second-hand product quality evaluation result;

[0054] The commodity price analysis module evaluates the current price of the second-hand commodity based on the second-hand commodity quality evaluation result and the price of the new commodity to obtain the second-hand commodity evaluation result.

[0055] Compared with the prior art, the advantages and positive effects of the present invention are:

[0056] In the present invention, by comparing the appearance of second-hand goods with that of brand-new goods, identifying the defects of second-hand goods, such as scratches and wear, and refining the types and coverage of defects, the accuracy of the evaluation of the integrity of the appearance of goods is improved, and the evaluation is combined with the functional information and maintenance records of the goods. By considering the type and frequency of maintenance, the functional status of the goods can be accurately determined. By comparing the usage time of the goods with the average lifespan of new goods of the same model, the remaining service life can be effectively estimated, providing a scientific basis for the pricing of second-hand goods. By combining the dual evaluation of appearance and function, the judgment of the value of the goods is more comprehensive and scientific, which improves the transparency and reliability of the evaluation, provides more reasonable transaction prices for buyers and sellers, and effectively reduces transaction risks. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 is a flow chart of the method of the present invention;

[0058] Figure 2 A flow chart of the present invention for identifying appearance defects of second-hand goods;

[0059] Figure 3 A flow chart for obtaining appearance integrity evaluation results for the present invention;

[0060] Figure 4 A flow chart for obtaining functional integrity assessment results for the present invention;

[0061] Figure 5 A flow chart for obtaining the remaining useful life evaluation result for the present invention;

[0062] Figure 6 A flow chart for evaluating the quality level of second-hand goods for the present invention;

[0063] Figure 7 The present invention is a flow chart for obtaining the evaluation results of second-hand goods. DETAILED DESCRIPTION

[0064] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0065] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0066] See also Figure 1 The present invention provides a technical solution: a second-hand commodity evaluation method based on dual-track grading of appearance and function, comprising the following steps:

[0067] S1: Based on the pictures of second-hand goods, compare them with pictures of new goods of the same style to identify the appearance defects of second-hand goods, including scratches, paint loss and surface wear, and evaluate the appearance integrity level of second-hand goods according to the type of appearance defects and the corresponding coverage, and obtain the appearance integrity evaluation results;

[0068] S2: Based on the functional information and maintenance records of the second-hand goods provided by the user, the functional integrity level of the second-hand goods is evaluated according to the type and number of functional problems, combined with the type and number of maintenance, to obtain the functional integrity evaluation result;

[0069] S3: Based on the functional integrity assessment results, the remaining service life of the second-hand goods is assessed according to the time the second-hand goods have been used and the average service life of the same goods, and the remaining service life assessment result is obtained;

[0070] S4: Based on the appearance integrity assessment results, the functional integrity assessment results and the remaining service life assessment results, the quality level of the second-hand goods is assessed, and combined with the price of the new goods, the current price of the second-hand goods is assessed to obtain the second-hand goods assessment results.

[0071] The results of the appearance integrity assessment include the appearance integrity score, defect type identification results and defect area percentage; the results of the functional integrity assessment include the functional integrity level, failure frequency statistics and maintenance history records; the results of the remaining service life assessment include the remaining life percentage, service life comparison results and expected life information; the results of the second-hand goods assessment include pricing estimation information, quality grade information and market value comparison information.

[0072] See also Figure 2 , the method to identify the appearance defects of second-hand goods is:

[0073] S111: Based on the second-hand goods, collect pictures of new goods of the same style, and take pictures of the second-hand goods according to the shooting angle of the pictures of the new goods to obtain picture information of the second-hand goods;

[0074] S112: Based on the image information of second-hand goods, compare it with the images of new goods of the same style, using the formula:

[0075]

[0076] Calculate the deviation index of the pixel;

[0077] Among them, P R , P G , P B Represents the red, green, and blue channel values ​​of the pixels in the second-hand goods image, Q R , Q G , Q B They represent the values ​​of the red, green, and blue channels of the corresponding pixels in the new product image, and D represents the deviation index of the pixel;

[0078] S113: comparing the deviation index of the pixel point with a preset deviation threshold, marking the pixel point whose deviation index exceeds the preset deviation threshold as a defective pixel point, and obtaining an appearance defect recognition result.

[0079] formula:

[0080]

[0081] Parameter details and how to obtain them:

[0082] P R , P G , P B They respectively represent the values ​​of the red, green, and blue channels of the pixels in the second-hand commodity image, and the values ​​are directly read from the digital image of the second-hand commodity through image processing software or programming libraries (such as PIL or OpenCV in Python).

[0083] Q R , Q G , Q B It is the red, green, and blue channel values ​​of the corresponding pixel points in the new product image, and the acquisition method is the same as that of second-hand products.

[0084] Calculation example:

[0085] The following pixel values ​​are set: Second-hand product image pixel P R =120, P G =100, P B =90, new product image pixel Q R =130,QG =102,Q B =95.

[0086] Red channel deviation square: (P R -Q R ) 2 =(120-130) 2 =100;

[0087] Green channel deviation square: (P G -Q G ) 2 =(100-102) 2 =4;

[0088] Blue channel deviation square: (P B -Q B ) 2 =(90-95) 2 =25;

[0089] Compute the square root of the sum of squared deviations:

[0090] Sum of squared deviations: 100+4+25=129;

[0091] Square root:

[0092] deviation:

[0093] The calculation result D represents the average color deviation of the pixel between the second-hand goods and the new goods. If the threshold is set to 5, then D<5, indicating that the pixel has no obvious appearance defects. Such deviation values ​​can help us evaluate the appearance integrity of second-hand goods. A lower deviation value means that the appearance of the second-hand goods is similar to that of the new goods, while a pixel with a higher deviation value may indicate appearance defects such as scratches, paint peeling or wear.

[0094] See also Figure 3 , the steps to obtain the appearance integrity assessment results are:

[0095] S121: Based on the appearance defect recognition result, extract the area of ​​each defect and collect the total surface area of ​​the product to obtain appearance related data;

[0096] S122: Based on the appearance-related data, combined with the maximum appearance integrity level and the minimum appearance integrity level, the formula is:

[0097]

[0098] Calculate the appearance integrity level, evaluate the appearance integrity of the second-hand goods, and obtain the appearance integrity evaluation result; where N LIndicates the number of defect types, K L is the adjustment factor, L max is the maximum appearance integrity level, w i is the weight of the i-th defect, A i is the area of ​​the ith defect, A total is the total surface area of ​​the commodity, L min is the minimum appearance integrity level, and L is the appearance integrity level.

[0099] formula:

[0100]

[0101] Parameter details and how to obtain them:

[0102] L max It is the maximum appearance integrity level, which is usually preset according to the product category, such as 10 means perfect.

[0103] K L It is an adjustment factor, which is set according to product category and market demand to adjust the sensitivity of the impact of defects.

[0104] N L Indicates the number of defect types, such as scratches, paint peeling, wear, etc. The defect types can be provided by the user or through image similarity analysis.

[0105] w i is the weight of the i-th defect, reflecting the influence of different defects on the evaluation of product appearance integrity. These weights are usually set based on industry experience or previous customer feedback data.

[0106] A i is the area of ​​the ith defect, determined by image processing techniques such as edge detection or color analysis.

[0107] A total It is the total surface area of ​​a product, usually calculated from physical dimensions or obtained directly from the product specifications.

[0108] L min It is the minimum appearance integrity level, which guarantees that the evaluation result will not fall below this value, and is usually set based on the minimum market acceptable standard.

[0109] Calculation example:

[0110] It is assumed that second-hand goods have three main defects: scratches, paint peeling, and wear and tear, and their corresponding weights are w1 = 0.5, w2 = 0.3, and w3 = 0.2. total = 100 square centimeters, the defect areas are as follows: A1 = 3 square centimeters, A2 = 2 square centimeters, A3 = 1 square centimeter. Set L max=10, K L =10,L min =1.

[0111] Calculate defect coverage:

[0112] Calculate the total weighted defect impact score: 0.5×0.03+0.3×0.02+0.2×0.01=0.015+0.006+0.002=0.023;

[0113] Calculate the appearance integrity level:

[0114] The calculation result L = 9, indicating that the second-hand product has a high degree of appearance integrity, with only minor defects, reflecting that the defect type and coverage area have little impact on the overall rating. Such a rating helps to quickly identify the market value and customer acceptance of the product, while providing an objective evaluation method.

[0115] See also Figure 4 ,The steps to obtain the functional integrity assessment results are:

[0116] S211: extracting the types and quantities of functional problems of the second-hand goods based on the functional information and maintenance records of the second-hand goods provided by the user, and analyzing the maintenance records of the goods to extract the maintenance types and corresponding times, and obtain function-related data;

[0117] S212: Based on the functional association data, the formula is:

[0118]

[0119] Calculate the functional integrity level, evaluate the functional integrity of the second-hand goods, and obtain the functional integrity evaluation result;

[0120] Among them, F max is the maximum functional integrity level, F min is the minimum functional integrity level, K f and K r is the adjustment factor, N F is the total number of functional problem types, N K is the total number of maintenance types, w fj represents the weight of the jth functional problem, F j is the number of occurrences of the jth functional problem, w rk represents the weight of the kth maintenance type, R k is the number of executions of the kth maintenance type, and F is the functional integrity level.

[0121] formula:

[0122]

[0123] Parameter details and how to obtain them:

[0124] F max : The maximum functional integrity level, usually an ideal state set according to the product type, for example 10 means no functional issues.

[0125] F min : Minimum functional completeness level, ensuring the lower limit of the evaluation results, such as 1, indicating that the product function is extremely limited.

[0126] K f and K r : Adjustment factor to balance the impact of functional problems and maintenance types on the functional integrity assessment, preset according to needs.

[0127] N F and N K :The number of types of functional problems and the number of types of maintenance types are determined by the number of different problems and maintenance activities that exist in the actual records.

[0128] w fj and w rk :The weights of functional problems and repair types reflect the impact of different problems and repairs on functional integrity. The weights are determined through expert evaluation or market research.

[0129] F j and R k : The number of occurrences of functional problem j and the number of executions of maintenance type k are directly obtained from service records and user feedback.

[0130] Calculation example:

[0131] It is assumed that there are 3 functional problems and 2 types of repairs for second-hand goods. The number of occurrences and weights of each functional problem and repair type are as follows: Number of functional problem occurrences: F1 = 2, F2 = 1, F3 = 1. Number of repair type executions: R1 = 1, R2 = 2, K f =0.6, K r =0.4, F max =10, F min =1,N F =3,N K =2,w f1 =0.5, w f2 =0.3, w f3 =0.2, w r1 =0.7, w r2 =0.3.

[0132] Calculate the weighted sum of functional issues and repair types:

[0133] 0.5 2 + 0.3 1 + 0.2 1 = 1.0 + 0.3 + 0.2 = 1.5;

[0134] 0.7·1+0.3·2=0.7+0.6=1.3;

[0135] Enter the formula for the level:

[0136]

[0137] The calculation result F=8 indicates that the functional integrity of the second-hand product is relatively high, despite some problems and repair records. The evaluation method can provide buyers with a clear indicator of the functional status of the product, which helps to make a purchase decision.

[0138] See also Figure 5 , the steps to obtain the remaining useful life assessment results are:

[0139] S311: extracting the start time of product use based on the user's product use record, analyzing the start time and the current time length, and obtaining the product use time;

[0140] S312: Based on the usage time of the product, collect the service life data of the same product, calculate the average service life of the same product, and obtain service life related data;

[0141] S313: Based on the service life correlation number and functional integrity assessment results, the formula:

[0142] T=max((1-β T ·(F max -F))·(T avg -T used ),0)

[0143] Calculate the remaining useful life of second-hand goods and obtain the remaining useful life assessment result;

[0144] Where T is the remaining useful life, β T is the adjustment factor, F max is the maximum functional integrity level, F is the functional integrity level, T avg is the average service life of the same new product, T used The time the product has been used.

[0145] formula:

[0146] T=max((1-β T ·(F max -F))·(T avg -T used ),0)

[0147] Parameter details and how to obtain them:

[0148] T used :The usage time of the product, usually the time difference from the start date to the current date, obtained directly from the user or sales record.

[0149] T avg : The average service life of a new product of the same model, usually based on manufacturer data or obtained through market research, reflecting the typical life of this type of product under normal use conditions.

[0150] F: The functional integrity level of the current second-hand product, calculated by the previous evaluation step, reflecting the functional status of the product.

[0151] F max : The maximum level of functional integrity, which is the theoretical highest state set according to product design and manufacturing standards.

[0152] β T : Attenuation adjustment factor, used to adjust the impact of the functional integrity level on the remaining useful life, is a coefficient set based on experience or statistical data to balance the impact of functional decline on life expectancy.

[0153] Calculation process:

[0154] Suppose a second-hand TV set has the following parameters: Used time T used =5 years, average service life T avg = 12 years, functional integrity level F = 7, maximum functional integrity level F max = 10. Attenuation adjustment coefficient β T =0.05.

[0155] Calculate the remaining basic time: T base =T avg -T used =12-5=7 years;

[0156] Calculate the impact of functional integrity: 1-β T ·(F max -F)=1-0.05·(10-7)=1-0.15=0.85;

[0157] Calculate the remaining life: T = max(0.85·7,0) = max(5.95,0) = 5.95 years;

[0158] The calculated result T = 5.95 years means that after considering the current functional status, the second-hand TV is expected to have a service life of approximately 6 years. The evaluation provides practical and specific information to help potential buyers understand the value and expected service life of the product, while providing sellers with a basis for pricing and market positioning.

[0159] See also Figure 6 , the method for evaluating the quality level of second-hand goods is:

[0160] S411: Based on the appearance integrity assessment results, the functional integrity assessment results, and the remaining service life assessment results, the appearance integrity level, the functional integrity level, and the remaining service life of the second-hand goods are extracted to obtain quality-related data;

[0161] S412: Based on quality-related data, by formula:

[0162]

[0163] Calculate the quality grade of second-hand goods and obtain the quality assessment result of second-hand goods;

[0164] Among them, λ L , F , T is the weight coefficient, F is the functional integrity level, T is the remaining service life, F is the functional integrity level, T avg is the average service life of the same new product, L is the appearance integrity level, Q min is the lowest quality level, and Q is the quality level.

[0165] formula:

[0166]

[0167] Parameter meaning and acquisition method:

[0168] λ L , F , T is the weight coefficient, λ L Used to adjust the impact of appearance integrity level, λ F The impact used to adjust the functional integrity level, λ T Used to adjust the impact of the remaining useful life ratio and preset according to needs.

[0169] T is the remaining useful life, obtained through the previous steps.

[0170] F is the functional integrity level, obtained through the previous steps.

[0171] T avg is the average service life of the same new product, obtained through the previous steps.

[0172] L is the appearance integrity level, obtained through the previous steps.

[0173] Q stands for quality level, ensuring that the evaluation result will not be lower than this level.

[0174] Calculation example:

[0175] The specific data of second-hand goods are set as follows: appearance integrity level L = 8, functional integrity level F = 7, remaining service life T = 5 years, and the average service life of the same new product T avg = 10 years, weight coefficient λ L =0.3,λ F =0.4,λ T′ =0.3, minimum quality level Q min =1.

[0176] Calculate the logarithmic impact of appearance completeness:

[0177] λ L ·ln(1+L)=0.3·ln(1+8)=0.3·ln(9)≈0.3·2.197=0.6591;

[0178] Direct impact on calculation functional integrity:

[0179] λ F ·F=0.4·7=2.8;

[0180] Calculate the relative impact on remaining useful life:

[0181]

[0182] Calculate the quality level Q:

[0183]

[0184] The calculation result Q=3 indicates the quality level of the second-hand goods based on the given parameters and weights.

[0185] See also Figure 7 , the steps to obtain the evaluation results of second-hand goods are:

[0186] S421: Based on the second-hand commodity quality assessment result, extract the maximum quality grade of the same commodity and the price of a new commodity to obtain second-hand price related data;

[0187] S422: Based on the second-hand price correlation data, the formula is:

[0188]

[0189] Calculate the price of second-hand goods and obtain the evaluation results of second-hand goods;

[0190] Among them, P used is the price of second-hand goods, P new is the price of a new product, and Q is the quality grade.max is the maximum quality level, γ P is the adjustment coefficient, δ P is the offset coefficient.

[0191] formula:

[0192]

[0193] Parameter details and how to obtain them:

[0194] Q max : Maximum quality level, indicating the ideal state of the product, usually preset according to the product type and market standards.

[0195] P new : The market price of a brand new item, obtained through market research or from retailers.

[0196] Q: Quality level, calculated in the previous step.

[0197] γ P : Adjustment coefficient, used to adjust the influence of quality grade ratio so that the price can more sensitively reflect the quality differences of goods.

[0198] δ P : Offset factor, added to ensure the validity of the logarithmic operation and adjust the impact of lower quality.

[0199] Calculation example:

[0200] Set the following parameters: new =1000 Market price of new goods, Q =7 Quality level of second-hand goods, Q max =10 Maximum quality level, γ P =9 adjustment factor, δ P =1 offset coefficient.

[0201] Calculate the impact of mass ratio:

[0202]

[0203] Apply a shift factor and a logarithmic transformation:

[0204] log(6.3+1)=log(7.3)≈0.863;

[0205] Calculate the price of used goods:

[0206] P used =P new ·0.863=1000·0.863≈863;

[0207] Calculation result P used=863, which means that after considering the quality grade and remaining useful life of the goods, the second-hand goods are valued at 863 yuan. The price reflects the depreciation of the goods relative to new goods, based on the expected reduction in their quality grade and useful life. This price evaluation method provides an objective valuation method based on the actual condition of the goods, helping buyers and sellers make transaction decisions.

[0208] A second-hand commodity evaluation system based on dual-track grading of appearance and function, the second-hand commodity evaluation system based on dual-track grading of appearance and function is used to execute the second-hand commodity evaluation method based on dual-track grading of appearance and function, and the system includes:

[0209] The product appearance analysis module compares the pictures of second-hand products with pictures of new products of the same style to identify the appearance defects of second-hand products, including scratches, paint peeling and surface wear, and evaluates the appearance integrity level of second-hand products according to the type of appearance defects and the corresponding coverage, and obtains the appearance integrity evaluation results;

[0210] The product function analysis module evaluates the functional integrity level of the second-hand product based on the functional information and maintenance records of the second-hand product provided by the user, according to the type and number of functional problems, combined with the type and number of repairs, and obtains the functional integrity evaluation result;

[0211] The product life assessment module evaluates the remaining service life of the second-hand product based on the functional integrity assessment results, the usage time of the second-hand product, and the average service life of the same product to obtain the remaining service life assessment result;

[0212] The product quality analysis module evaluates the quality level of the second-hand product based on the appearance integrity evaluation results, the functional integrity evaluation results and the remaining service life evaluation results, and obtains the second-hand product quality evaluation results;

[0213] The commodity price analysis module evaluates the current price of second-hand commodities based on the quality evaluation results of second-hand commodities and the prices of new commodities to obtain the evaluation results of second-hand commodities.

[0214] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A second-hand goods evaluation method based on dual-track grading of appearance and function, characterized in that: The following steps are involved: Based on the pictures of second-hand goods, compare them with pictures of new goods of the same style to identify the appearance defects of second-hand goods, including scratches, paint loss and surface wear, and evaluate the appearance integrity level of second-hand goods according to the type of appearance defects and the corresponding coverage, and obtain the appearance integrity evaluation results; Based on the functional information and maintenance records of the second-hand goods provided by the user, the functional integrity level of the second-hand goods is evaluated according to the type and number of functional problems, combined with the type and number of maintenance, to obtain a functional integrity evaluation result; Based on the functional integrity assessment result, the remaining useful life of the second-hand goods is assessed according to the time the second-hand goods have been used and the average useful life of the same goods, thereby obtaining a remaining useful life assessment result; Based on the appearance integrity assessment results, functional integrity assessment results and remaining service life assessment results, the quality level of the second-hand goods is assessed, and combined with the price of new goods, the current price of the second-hand goods is assessed to obtain the second-hand goods assessment results.

2. The second-hand commodity evaluation method based on appearance and function dual-track grading according to claim 1 is characterized in that: The method for identifying the appearance defects of second-hand goods is: Based on second-hand goods, collect pictures of new goods of the same style, and take pictures of second-hand goods according to the shooting angle of the pictures of new goods to obtain the picture information of second-hand goods; Based on the image information of the second-hand goods, compare it with the images of the same style of new goods, using the formula: Calculate the deviation index of the pixel; Among them, P R , P G , P B Represents the red, green, and blue channel values ​​of the pixels in the second-hand goods image, Q R , Q G , Q B They represent the values ​​of the red, green, and blue channels of the corresponding pixels in the new product image, and D represents the deviation index of the pixel; Based on the deviation index of the pixel point, it is compared with a preset deviation threshold, and the pixel point whose deviation index exceeds the preset deviation threshold is marked as a defective pixel point to obtain an appearance defect recognition result.

3. The second-hand commodity evaluation method based on appearance and function dual-track grading according to claim 2 is characterized in that: The steps for obtaining the appearance integrity evaluation result are: Based on the appearance defect recognition results, extract the area of ​​each defect and collect the total surface area of ​​the product to obtain appearance related data; Based on the appearance-related data, combined with the maximum appearance integrity level and the minimum appearance integrity level, the formula is: Calculate the appearance integrity level, evaluate the appearance integrity of the second-hand goods, and obtain the appearance integrity evaluation result; Among them, N L Indicates the number of defect types, K L is the adjustment factor, L max is the maximum appearance integrity level, w i is the weight of the i-th defect, A i is the area of ​​the ith defect, A total is the total surface area of ​​the commodity, L min is the minimum appearance integrity level, and L is the appearance integrity level.

4. The second-hand commodity evaluation method based on appearance and function dual-track grading according to claim 1 is characterized in that: The steps for obtaining the functional integrity evaluation result are: Based on the functional information and maintenance records of second-hand goods provided by users, the types and quantities of functional problems of second-hand goods are extracted, and the maintenance records of goods are analyzed to extract the maintenance types and corresponding times to obtain functional association data; Based on the functional association data, the formula: Calculate the functional integrity level, evaluate the functional integrity of the second-hand goods, and obtain the functional integrity evaluation result; Among them, F max is the maximum functional integrity level, F min is the minimum functional integrity level, K f and K r is the adjustment factor, N F is the total number of functional problem types, N K is the total number of maintenance types, w fj represents the weight of the jth functional problem, F j is the number of occurrences of the jth functional problem, w rk represents the weight of the kth maintenance type, R k is the number of executions of the kth maintenance type, and F is the functional integrity level.

5. The second-hand commodity evaluation method based on appearance and function dual-track grading according to claim 1 is characterized in that: The steps for obtaining the remaining useful life assessment result are as follows: Based on the user's product usage records, extract the start time of product usage, analyze the start time and the current time length, and obtain the product usage time; Based on the usage time of the product, collect the service life data of the same product, calculate the average service life of the same product, and obtain service life related data; Based on the service life correlation number and functional integrity assessment results, the formula: T=max((1-β T ·(F max -F))·(T avg -T used ),0) Calculate the remaining useful life of second-hand goods and obtain the remaining useful life assessment result; Where T is the remaining useful life, β T is the adjustment factor, F max is the maximum functional integrity level, F is the functional integrity level, T avg is the average service life of the same new product, T used The time the product has been used.

6. The second-hand commodity evaluation method based on appearance and function dual-track grading according to claim 1 is characterized in that: The method for evaluating the quality level of second-hand goods is: Based on the appearance integrity assessment results, the functional integrity assessment results and the remaining service life assessment results, extracting the appearance integrity level, the functional integrity level and the remaining service life of the second-hand goods to obtain quality-related data; Based on the quality-related data, by the formula: Calculate the quality grade of second-hand goods and obtain the quality assessment result of second-hand goods; Among them, λ L , F , T is the weight coefficient, F is the functional integrity level, T is the remaining service life, F is the functional integrity level, T avg is the average service life of the same new product, L is the appearance integrity level, Q min is the lowest quality level, and Q is the quality level.

7. The second-hand commodity evaluation method based on appearance and function dual-track grading according to claim 6 is characterized in that: The steps for obtaining the second-hand goods evaluation results are as follows: Based on the second-hand goods quality assessment results, extract the maximum quality grade of the same goods and the price of new goods to obtain second-hand price related data; Based on the second-hand price correlation data, the formula is: Calculate the price of second-hand goods and obtain the evaluation results of second-hand goods; Among them, P used is the price of second-hand goods, P new is the price of a new product, and Q is the quality grade. max is the maximum quality level, γ P is the adjustment coefficient, δ P is the offset coefficient.

8. A second-hand goods evaluation system based on dual-track grading of appearance and function, characterized in that: According to any one of claims 1 to 7, the second-hand commodity evaluation method based on appearance and function dual-track grading comprises: The product appearance analysis module compares the pictures of second-hand products with pictures of new products of the same style to identify the appearance defects of second-hand products, including scratches, paint peeling and surface wear, and evaluates the appearance integrity level of second-hand products according to the type of appearance defects and the corresponding coverage, and obtains the appearance integrity evaluation results; The product function analysis module evaluates the functional integrity level of the second-hand product based on the functional information and maintenance records of the second-hand product provided by the user, according to the type and number of functional problems, combined with the type and number of repairs, and obtains the functional integrity evaluation result; The product life evaluation module evaluates the remaining service life of the second-hand product based on the functional integrity evaluation result, according to the usage time of the second-hand product and the average service life of the same product, and obtains the remaining service life evaluation result; The product quality analysis module evaluates the quality level of the second-hand product based on the appearance integrity evaluation result, the functional integrity evaluation result and the remaining service life evaluation result to obtain a second-hand product quality evaluation result; The commodity price analysis module evaluates the current price of the second-hand commodity based on the second-hand commodity quality evaluation result and the price of the new commodity to obtain the second-hand commodity evaluation result.

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