Automatic evaluation method based on material recovery system

Abstract

The invention discloses an automatic evaluation method based on a material recovery system. The method comprises the following steps: S1, collecting multi-modal information; s2, calculating a total score; s3, evaluating the price; s4, evaluating the final price in combination with the time dimension; through time sequence analysis and price influence parameter calculation and in combination with an optimization evaluation method, efficient evaluation of material recovery efficiency and cost control is realized, through model optimization and time sequence analysis, the automatic evaluation capability of the system is improved, the user operation time is shortened, and the accuracy and efficiency of the evaluation system are improved; specifically, the time sequence analysis captures a time change rule, and the calculation of the price influence parameter helps to evaluate the price change of the system and the influence on the user operation; finally, material recovery is more efficient and economical through optimization of an evaluation method, time sequence analysis, system prediction efficiency and cost control.

Description

Technical Field

[0001] The present invention relates to product recycling, and more particularly to a method for automatic evaluation based on a material recycling system. Background Art

[0002] With the rapid development of technology and people's pursuit of new electronic products, the recycling of waste electronic products has become increasingly important. However, many people are not clear about the actual value of waste electronic products, which may cause them to miss out on considerable recycling benefits.

[0003] Furthermore, with the rapid development of information technology, users need to assess the recycling value of items after purchasing them. Traditional material recycling assessment methods can no longer meet user needs. The information extraction process is complex, the processing cycle is long, and it takes a lot of time and effort. It is also prone to errors and omissions. To address these issues, the automatic assessment method of the material recycling system provides a convenient and fast channel, allowing users to evaluate materials to be recycled anytime and anywhere, quickly letting users know the recycling price, improving user satisfaction and service quality.

[0004] Current material recycling method: users contact relevant staff by phone / platform or find an appraisal agency, describing the problem / product model / purchase time / price... of the product; staff analyze the problem, extract key information, and ask the user to confirm; repeatedly ask the user for the missing key information, and continue to ask the user to confirm; after confirmation, the final evaluation price is calculated; the final evaluation price is notified to the user.

[0005] This method has problems: users are easily affected by emotions when repeatedly confirming material recycling assessment information, which is not conducive to solving problems; it wastes time and energy; it cannot guarantee the timeliness and effectiveness of processing; the workload is large, resulting in low service quality and efficiency; users cannot understand the final assessment price in a timely manner, and the assessment price is easily affected by price fluctuations. Summary of the Invention

[0006] An object of the present invention is to provide a new technical solution based on a method for automatic evaluation of a material recovery system.

[0007] According to a first aspect of the present invention, there is provided a method for automatic evaluation based on a material recovery system, comprising the following steps:

[0008] S1. Collect multimodal information: Fill in the basic information on the recycling page, collect user evaluation information and fault repair information, obtain the total score S of the single option, analyze the user evaluation information, calculate the total score J of the user evaluation, analyze the fault repair information, calculate the total score G of the fault repair, and after selecting the machine model, obtain the total print volume of the machine, and calculate the used print volume entered to obtain the consumable ratio R and the consumable score H;

[0009] S2. Calculate the total score: Calculate the total score V based on the calculated total score S of the single options, the total score J of the user evaluation, the total score G of the fault repair, and the score H of the consumables.

[0010] Value range: When all scoring items take the maximum value of 5, the total is 5×4=20 points; when all scoring items take the minimum value of 1, the total is 1×4=4 points;

[0011] S3. Evaluation price: Calculate the evaluation price based on the product usage time;

[0012] S4. Evaluate the final price in the context of time: Analyze prices and influencing parameters through time series, and adjust the assessed price based on historical price information.

[0013] Optionally, the basic information of the recycled page in S1 includes appearance, sample quality and number of peripheral accessories;

[0014] The scoring thresholds for the appearance conditions are as follows:

[0015] That is, if the wear area is less than 5% and there is no damage, the appearance score is 5 points.

[0016] If the wear area is less than 10% and there is damage, the appearance score is 3 points.

[0017] If the wear area is less than 20% and there is damage, the appearance score is 1 point;

[0018] The sample quality scoring thresholds are as follows:

[0019] That is, if the consumables are in good condition, the quality score is 5 points.

[0020] And the use of consumables is average, the quality score is 3 points,

[0021] If the consumables are damaged during use, the quality score is 1 point;

[0022] The scoring thresholds for the number of surrounding attachments are as follows:

[0023] That is, if the surrounding accessories are intact and not damaged, the score for the number of accessories is 5 points; if the number of surrounding accessories is half and not damaged, the score for the number of accessories is 3 points.

[0024] If only half of the surrounding accessories are preserved and some are damaged, the score for the number of accessories is 1 point;

[0025] The total score S of the single option is calculated as follows:

[0026]

[0027] Among them, S represents the total score of the single option, n represents the number of single options, i represents the sequence of single options, s i Expressed as a rating value for a single option.

[0028] Optionally, the steps of user evaluation information in S1 are as follows:

[0029] User review data collection: Extract key information from the review information, and then perform data preprocessing on the key information, including noise removal, duplication removal, and format unification;

[0030] User evaluation analysis: Use natural language processing technology to perform sentiment analysis and keyword extraction, and collect statistics on user satisfaction, question types, and advantages and disadvantages analysis results;

[0031] Score calculation: Calculate the user satisfaction score based on the evaluation analysis results.

[0032] Optionally, the total score J of the user evaluation is calculated based on the sentiment analysis and keyword extraction results:

[0033]

[0034] The criteria for the total score G of the fault repair are as follows:

[0035] During the period of product use, if the number of repairs is less than 2 and the repair records are complete, the score for fault repair is calculated as 5. If the number of repairs is less than 5 and the repair records are incomplete, the score for fault repair is calculated as 3. If the number of repairs is more than 5 and the repair records are incomplete, the score for fault repair is calculated as 1.

[0036] The total score G for fault repair is calculated based on the number of repairs and the completeness of the repair records:

[0037]

[0038] Optionally, the consumables ratio R in S1 is calculated by the total printing volume and the used printing volume of the product, and two variables are defined:

[0039] U stands for the used print volume;

[0040] T stands for total print volume;

[0041] Calculate the ratio:

[0042] The score is calculated based on the value of the consumable ratio R, and the score is represented by the piecewise function H:

[0043]

[0044] Optionally, the total score V in S2 is calculated as follows:

[0045]

[0046] Among them, V represents the total number of ratings, m represents the number of rating items, j represents the sequence of all rating items, and w j Expressed as the weight value of each scoring item, x j It is represented as a scoring item, and the scoring items include the total score S of the single options, the total score J of the user evaluation, the total score G of the fault repair and the consumables score H;

[0047] And w=0.2+0.1+0.4+0.3=1, where the weight value of the total score S of the radio option is 0.2, the weight value of the total score J of the user evaluation is 0.1, the weight value of the total score G of the fault repair is 0.4, and the weight value of the consumables score H is 0.3;

[0048] Calculate the evaluation value A based on the total score V;

[0049]

[0050] Optionally, the evaluation price in S3 is calculated as follows:

[0051] The final evaluation price is calculated proportionally based on the number of days remaining from the current time, that is, the expiration date is set, and the difference ΔD between the expiration time and the current time is calculated based on the current date Dexpire and the expiration date Dcurrent. When the difference ΔD between the expiration time and the current time is less than or equal to 546 days, the product price is 1 / 1000, and when the difference ΔD between the expiration time and the current time is greater than 546 days, the product price is

[0052] ΔD=Dexpire-Dcurrent;

[0053] The difference between the expiration date and the current date, i.e. the number of days remaining. You need to ensure that the date format supports direct subtraction to obtain the difference in days.

[0054] The calculation formula of the appraisal price is as follows:

[0055] The adjusted product price P is calculated based on the difference ΔD in the remaining days, and is represented by the piecewise function P:

[0056]

[0057] Where P represents the adjusted product price calculated based on the difference ΔD in the remaining days, K represents the original price of the product, and A represents the evaluation value of the product's total score;

[0058] If the remaining days are less than or equal to 546 days, the product price will be one thousandth of the original price as the evaluation price; if the remaining days are greater than 546 days, the product price will be the product of the original price and the evaluation value of the total score of the product, which is the evaluation price.

[0059] Optionally, the time series analysis of prices and influencing parameters of the model:

[0060]

[0061] Among them, K represents the initial price of the product, k represents the decay rate, and t represents the time step. Product prices expressed as a time series;

[0062] That is, the product's initial price and decay rate are used to calculate the product's value in the time series, and the calculated value is combined with the calculated evaluation price for analysis;

[0063]

[0064] Among them, Y is represented by the ratio calculation of the difference between the time series price and the appraisal price and the appraisal price.

[0065] Optionally, the influencing parameter is calculated as follows:

[0066] Calculation of price volatility coefficient: Among them, p 波动 It is expressed as the price volatility coefficient, σ is expressed as the standard deviation of the price data, and μ is expressed as the mean value of the price data;

[0067] Average of price data: Among them, n represents the number of price data, i represents the sequence of price data, and y i Prices expressed as a time series;

[0068] Standard deviation of price data:

[0069] Price trend coefficient calculation: p 趋势 =R 2 ; Among them, R2 Expressed as regression sum of squares, p 趋势 Expressed as price trend coefficient;

[0070] Compute the regression sum of squares: in, Expressed as the sum of squared errors, Expressed as the average price, Expressed as the total sum of squares;

[0071] Price cycle coefficient calculation: in, denoted as the cyclical contribution in the extracted price data, and N as the total number of price data.

[0072] Optionally, the assessed price in S4 is corrected and adjusted:

[0073] F=P×Y×p 影响 ;

[0074] Among them, F represents the final price after the evaluation price is revised, P represents the adjusted product price calculated based on the difference ΔD of the remaining days, and Y represents the ratio calculation of the difference between the time series price and the evaluation price and the evaluation price, p 影响 Expressed as an influencing parameter;

[0075] Among them, p 影响 =p 波动 ×p 趋势 ×p 周期 ;

[0076] Among them, p 波动 Expressed as the price volatility coefficient, p 趋势 Price trend coefficient calculation, p 周期 Calculation of price cycle coefficient.

[0077] Beneficial effects of the present invention:

[0078] This invention collects and analyzes multimodal data from the material recovery system to dynamically evaluate the market value and recovery value of products. It combines time series analysis, machine learning models, and data cleaning techniques to achieve efficient and accurate evaluation.

[0079] The present invention uses time series analysis and machine learning models to predict and adjust prices, improve evaluation accuracy, and calculate a total score V based on the total score S of the single options, the total score J of user evaluations, the total score G of fault repairs, and the score H of consumables through comprehensive scoring calculation. Furthermore, a proportional calculation is performed based on the number of days remaining in the current time, and the product of the original price of the product and the evaluation value of the total product score are multiplied to calculate the evaluation price.

[0080] And combining the model of time series price analysis and influencing parameters, the difference between the time series price and the assessed price is used to calculate the ratio of the assessed price and the influencing parameters to correct the assessed price, improve the accuracy of the assessed price, generate the final recovery price, and calculate and analyze the price fluctuations, trends and cycles of the data price, so as to facilitate the calculation and analysis of the influencing parameters and reduce the impact of the influencing parameters on the price;

[0081] Through time series analysis and the calculation of price impact parameters, combined with optimized evaluation methods, an efficient evaluation of material recycling efficiency and cost control is achieved. Through model optimization and time series analysis, the system's automated evaluation capabilities are improved, user operation time is reduced, and the accuracy and efficiency of the evaluation system are improved. Specifically, time series analysis captures the patterns of time changes, and the calculation of price impact parameters helps evaluate the system's price changes and their impact on user operations. Ultimately, through optimized evaluation methods and time series analysis, the system predicts efficiency and cost control, making material recycling more efficient and economical.

[0082] Further features and advantages of the present invention will become apparent from the following detailed description of exemplary embodiments of the present invention with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0083] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and, together with the description, serve to explain the principles of the invention.

[0084] Figure 1 A schematic flow chart of steps of a method for automatic evaluation based on a material recovery system in one embodiment;

[0085] Figure 2 The figure is a flowchart of the steps of user evaluation information of a method based on automatic evaluation of a material recycling system in one embodiment. DETAILED DESCRIPTION

[0086] Various exemplary embodiments of the present invention will now be described in detail with reference to the accompanying drawings. It should be noted that unless otherwise specifically stated, the relative arrangement of components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present invention.

[0087] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the invention, its application, or uses.

[0088] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0089] In all examples shown and discussed herein, any specific values should be interpreted as merely exemplary and not limiting. Therefore, other examples of the exemplary embodiments may have different values.

[0090] like Figure 1-2 As shown, a method for automatic evaluation based on a material recovery system includes the following steps:

[0091] S1. Collect multimodal information: Fill in the basic information on the recycling page, collect user evaluation information and fault repair information, obtain the total score S of the single option, analyze the user evaluation information, calculate the total score J of the user evaluation, analyze the fault repair information, calculate the total score G of the fault repair, and after selecting the machine model, obtain the total print volume of the machine, and calculate the used print volume entered to obtain the consumable ratio R and the consumable score H;

[0092] S2. Calculate the total score: Calculate the total score V based on the calculated total score S of the single options, the total score J of the user evaluation, the total score G of the fault repair, and the score H of the consumables.

[0093] Value range: When all scoring items take the maximum value of 5, the total is 5×4=20 points; when all scoring items take the minimum value of 1, the total is 1×4=4 points;

[0094] S3. Evaluation price: Calculate the evaluation price based on the product usage time;

[0095] S4. Evaluate the final price in the context of time: Analyze prices and influencing parameters through time series, and adjust the assessed price based on historical price information.

[0096] In this embodiment, preferably, the basic information of the recycled page in S1 includes appearance, sample quality and the number of peripheral accessories;

[0097] The scoring thresholds for the appearance conditions are as follows:

[0098] That is, if the wear area is less than 5% and there is no damage, the appearance score is 5 points.

[0099] If the wear area is less than 10% and there is damage, the appearance score is 3 points.

[0100] If the wear area is less than 20% and there is damage, the appearance score is 1 point;

[0101] The sample quality scoring thresholds are as follows:

[0102] That is, if the consumables are in good condition, the quality score is 5 points.

[0103] And the use of consumables is average, the quality score is 3 points,

[0104] If the consumables are damaged during use, the quality score is 1 point;

[0105] The scoring thresholds for the number of surrounding attachments are as follows:

[0106] That is, if the surrounding accessories are intact and not damaged, the score for the number of accessories is 5 points; if the number of surrounding accessories is half and not damaged, the score for the number of accessories is 3 points.

[0107] If only half of the surrounding accessories are preserved and some are damaged, the score for the number of accessories is 1 point;

[0108] The total score S of the single option is calculated as follows:

[0109]

[0110] Among them, S represents the total score of the single option, n represents the number of single options, i represents the sequence of single options, s i Expressed as a rating value for a single option;

[0111] It should be noted that the basic information of the product is analyzed and processed based on the appearance, sample quality and the number of peripheral accessories to obtain the total score S of the single option.

[0112] In this embodiment, preferably, the steps of user evaluation information in S1 are as follows:

[0113] User review data collection: Extract key information from the review information, and then perform data preprocessing on the key information, including noise removal, duplication removal, and format unification;

[0114] User evaluation analysis: Use natural language processing technology to perform sentiment analysis and keyword extraction, and collect statistics on user satisfaction, question types, and advantages and disadvantages analysis results;

[0115] Score calculation: Calculate the user satisfaction score based on the evaluation analysis results;

[0116] It should be noted that the user evaluation information of the product is queried, and the evaluation information is processed and keywords are extracted to facilitate analysis and processing based on sentiment analysis and calculate the user satisfaction score.

[0117] In this embodiment, preferably, the total score J of the user evaluation is calculated based on the sentiment analysis and keyword extraction results:

[0118]

[0119] The criteria for the total score G of the fault repair are as follows:

[0120] During the period of product use, if the number of repairs is less than 2 and the repair records are complete, the score for fault repair is calculated as 5. If the number of repairs is less than 5 and the repair records are incomplete, the score for fault repair is calculated as 3. If the number of repairs is more than 5 and the repair records are incomplete, the score for fault repair is calculated as 1.

[0121] The total score G for fault repair is calculated based on the number of repairs and the completeness of the repair records:

[0122]

[0123] It should be noted that the total score of the evaluation is calculated and analyzed by the positive emotions, neutral emotions and negative emotions of the user evaluation, and the total score of the fault repair is calculated and analyzed by the number of fault repairs and the completeness of the repair records.

[0124] In this embodiment, preferably, the consumables ratio R in S1 is calculated by the total printing volume and the used printing volume of the product, and two variables are defined:

[0125] U stands for the used print volume;

[0126] T stands for total print volume;

[0127] Calculate the ratio:

[0128] The score is calculated based on the value of the consumable ratio R, and the score is represented by the piecewise function H:

[0129]

[0130] It should be noted that the score is calculated based on the proportion of consumables, which facilitates the calculation and analysis of the evaluation score by combining the total score S of the radio options, the total score J of the user evaluation, and the total score G of the fault repair.

[0131] In this embodiment, preferably, the total score V in S2 is calculated as follows:

[0132]

[0133] Among them, V represents the total number of ratings, m represents the number of rating items, j represents the sequence of all rating items, and w j Expressed as the weight value of each scoring item, x j It is represented as a scoring item, and the scoring items include the total score S of the single options, the total score J of the user evaluation, the total score G of the fault repair and the consumables score H;

[0134] And w=0.2+0.1+0.4+0.3=1, where the weight value of the total score S of the radio option is 0.2, the weight value of the total score J of the user evaluation is 0.1, the weight value of the total score G of the fault repair is 0.4, and the weight value of the consumables score H is 0.3;

[0135] Calculate the evaluation value A based on the total score V;

[0136]

[0137] It should be noted that the total score of the evaluation value can be analyzed and calculated according to the weight value, and it is convenient to analyze and calculate the evaluation price of the product.

[0138] The calculation parameters of the above total score V are shown in the following table:

[0139]

[0140]

[0141]

[0142] In this embodiment, preferably, the evaluation price in S3 is calculated as follows:

[0143] The final evaluation price is calculated proportionally based on the number of days remaining from the current time, that is, the expiration date is set, and the difference ΔD between the expiration time and the current time is calculated based on the current date Dexpire and the expiration date Dcurrent. When the difference ΔD between the expiration time and the current time is less than or equal to 546 days, the product price is 1 / 1000, and when the difference ΔD between the expiration time and the current time is greater than 546 days, the product price is

[0144] ΔD=Dexpire-Dcurrent;

[0145] The difference between the expiration date and the current date, i.e. the number of days remaining. You need to ensure that the date format supports direct subtraction to obtain the difference in days.

[0146] The calculation formula of the appraisal price is as follows:

[0147] The adjusted product price P is calculated based on the difference ΔD in the remaining days, and is represented by the piecewise function P:

[0148]

[0149] Where P represents the adjusted product price calculated based on the difference ΔD in the remaining days, K represents the original price of the product, and A represents the evaluation value of the product's total score;

[0150] If the remaining days are less than or equal to 546 days, the product price will be 1 / 1000 of the original price as the evaluation price; if the remaining days are greater than 546 days, the product price will be the product of the original price and the evaluation value of the total score of the product, which is the evaluation price;

[0151] It should be noted that the evaluation price of the product is calculated and analyzed based on the length of time the product has been used, and the difference ΔD between the expiration time and the current time is calculated based on the current date Dexpire and the expiration date Dcurrent, so as to facilitate the determination of the product price based on the product warranty period.

[0152] In this embodiment, preferably, the model of the time series analysis price and influencing parameters is:

[0153]

[0154] Among them, K represents the initial price of the product, k represents the decay rate, and t represents the time step. Product prices expressed as a time series;

[0155] That is, the product's initial price and decay rate are used to calculate the product's value in the time series, and the calculated value is combined with the calculated evaluation price for analysis;

[0156]

[0157] Where Y is the ratio of the difference between the time series price and the appraisal price to the appraisal price;

[0158] It should be noted that the price is analyzed through time series, and the price in the time series is predicted in combination with the decay rate. The ratio of the difference between the time series price and the evaluation price and the evaluation price is calculated to facilitate the correction of the evaluation price.

[0159] In this embodiment, preferably, the influencing parameters are calculated as follows:

[0160] Calculation of price volatility coefficient: Among them, p 波动 It is expressed as the price volatility coefficient, σ is expressed as the standard deviation of the price data, and μ is expressed as the mean value of the price data;

[0161] Average of price data: Among them, n represents the number of price data, i represents the sequence of price data, and y i Prices expressed as a time series;

[0162] Standard deviation of price data:

[0163] Price trend coefficient calculation: p 趋势 =R 2 ; Among them, R 2 Expressed as regression sum of squares, p 趋势 Expressed as price trend coefficient;

[0164] Compute the regression sum of squares: in, Expressed as the sum of squared errors, Expressed as the average price, Expressed as the total sum of squares;

[0165] Price cycle coefficient calculation: in, It is expressed as the periodic contribution in the extracted price data, and N is the total number of price data;

[0166] in

[0167] Among them, x n Represents price data, k is the frequency index, N is the number of data points, and -j2πkn / N is the exponential part. It is expressed as the sum of the products of the time domain signal and the frequency domain factor;

[0168] in,

[0169] It should be noted that the price fluctuations, trends and cycles are calculated and analyzed based on the data prices generated by the time series, which facilitates the calculation and analysis of the influencing parameters.

[0170] In this embodiment, preferably, the evaluation price in S4 is corrected and adjusted:

[0171] F=P×Y×p 影响 ;

[0172] Among them, F represents the final price after the evaluation price is revised, P represents the adjusted product price calculated based on the difference ΔD of the remaining days, and Y represents the ratio calculation of the difference between the time series price and the evaluation price and the evaluation price, p 影响 Expressed as an influencing parameter;

[0173] Among them, p 影响 =p 波动 ×p 趋势 ×p 周期 ;

[0174] Among them, p 波动 Expressed as the price volatility coefficient, p 趋势 Price trend coefficient calculation, p 周期Price cycle coefficient calculation;

[0175] It should be noted that the difference between the time series price and the appraisal price is used to calculate the ratio of the appraisal price and the influencing parameters to correct the appraisal price, thereby improving the accuracy of the appraisal price and generating the final recovery price;

[0176]

[0177] The specific steps of the present invention are as follows:

[0178] Step 1: Collect multimodal information: Fill in the basic information on the recycling page, and collect user evaluation information and fault repair information to obtain the total score S of the single option. Analyze the user evaluation information to calculate the total user evaluation score J. Analyze the fault repair information to calculate the total fault repair score G. After selecting the machine model, obtain the total print volume of the machine, and calculate the used print volume entered to obtain the consumable ratio R and the consumable score H.

[0179] Step 2: Calculate the total score: Calculate the total score V based on the total score S of the single options, the total score J of the user evaluation, the total score G of the fault repair, and the score H of the consumables.

[0180] Value range: When all scoring items take the maximum value of 5, the total is 5×4=20 points; when all scoring items take the minimum value of 1, the total is 1×4=4 points;

[0181] Step 3: Evaluate the price: Calculate the evaluation price based on the product usage time;

[0182] Step 4. Evaluate the final price based on the time dimension: Analyze prices and influencing parameters through time series, and adjust the assessed price based on historical price information.

[0183] It should be noted that all calculation formulas in this application document utilize, including but not limited to, regression analysis within machine learning algorithms to deeply analyze the collected parameters and identify their natural trends and interrelationships. Professional software, such as Python's Scikit-learn library or the R language, is used to automatically generate mathematical models that match the data. Model performance is then objectively evaluated through methods such as cross-validation, combined with continuous feedback and optimization to ensure that the created formulas truly reflect the inherent laws of the data, thereby guaranteeing their validity and accuracy, and ensuring that the calculation process complies with the constraints of natural laws rather than being based on artificially set rules.

[0184] The technical solution of the present invention, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to execute the methods of various embodiments of the present invention.

[0185] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0186] Although some specific embodiments of the present invention have been described in detail by way of examples, it should be understood by those skilled in the art that the above examples are for illustration only and are not intended to limit the scope of the present invention. It should be understood by those skilled in the art that modifications may be made to the above embodiments without departing from the scope and spirit of the present invention. The scope of the present invention is defined by the appended claims.

Claims

1. A method for automatic evaluation based on a material recovery system, characterized in that: The following steps are involved: S1. Collect multimodal information: Fill in the basic information on the recycling page, collect user evaluation information and fault repair information, obtain the total score S of the single option, analyze the user evaluation information, calculate the total score J of the user evaluation, analyze the fault repair information, calculate the total score G of the fault repair, and after selecting the machine model, obtain the total print volume of the machine, and calculate the used print volume entered to obtain the consumable ratio R and the consumable score H; S2. Calculate the total score: Calculate the total score V based on the calculated total score S of the single options, the total score J of the user evaluation, the total score G of the fault repair, and the score H of the consumables. Value range: When all scoring items take the maximum value of 5, the total is 5×4=20 points; when all scoring items take the minimum value of 1, the total is 1×4=4 points; S3. Evaluation price: Calculate the evaluation price based on the product usage time; S4. Evaluate the final price in the context of time: Analyze prices and influencing parameters through time series, and adjust the assessed price based on historical price information.

2. The method according to claim 1, wherein: The basic information of the recycled page in S1 includes appearance, sample quality and number of peripheral accessories; The scoring thresholds for the appearance conditions are as follows: That is, if the wear area is less than 5% and there is no damage, the appearance score is 5 points. If the wear area is less than 10% and there is damage, the appearance score is 3 points. If the wear area is less than 20% and there is damage, the appearance score is 1 point; The sample quality scoring thresholds are as follows: That is, if the consumables are in good condition, the quality score is 5 points. And the consumables usage is average, the quality score is 3 points, If the consumables are damaged during use, the quality score is 1 point; The scoring thresholds for the number of surrounding attachments are as follows: That is, if the surrounding accessories are intact and not damaged, the score for the number of accessories is 5 points. If half of the surrounding accessories are preserved and not damaged, the score for the number of accessories is 3 points. If only half of the surrounding accessories are preserved and some are damaged, the score for the number of accessories is 1 point; The total score S of the single option is calculated as follows: Among them, S represents the total score of the single option, n represents the number of single options, i represents the sequence of single options, s i Expressed as a rating value for a single option.

3. The method according to claim 1, wherein: The steps of user evaluation information in S1 are as follows: User review data collection: Extract key information from the review information, and then perform data preprocessing on the key information, including noise removal, duplication removal, and format unification; User evaluation analysis: Use natural language processing technology to perform sentiment analysis and keyword extraction, and collect statistics on user satisfaction, question types, and advantages and disadvantages analysis results; Score calculation: Calculate the user satisfaction score based on the evaluation analysis results.

4. The method according to claim 1, wherein: The total score J of the user evaluation is calculated based on the sentiment analysis and keyword extraction results: The criteria for the total score G of the fault repair are as follows: During the period of product use, if the number of repairs is less than 2 and the repair records are complete, the score for fault repair is calculated as 5. If the number of repairs is less than 5 and the repair records are incomplete, the score for fault repair is calculated as 3. If the number of repairs is more than 5 and the repair records are incomplete, the score for fault repair is calculated as 1. The total score G for fault repair is calculated based on the number of repairs and the completeness of the repair records:

5. The method for automatic evaluation based on a material recovery system according to claim 1, characterized in that: The consumables ratio R in S1 is calculated by the total printing volume and the used printing volume of the product, and two variables are defined: U stands for the used print volume; T stands for total print volume; Calculate the ratio: The score is calculated based on the value of the consumable ratio R, and the score is represented by the piecewise function H:

6. The method for automatic evaluation based on a material recovery system according to claim 1, characterized in that: The total score V in S2 is calculated as follows: Among them, V represents the total number of ratings, m represents the number of rating items, j represents the sequence of all rating items, and w j Represented as the weight value of each scoring item, x j It is represented as a scoring item, and the scoring items include the total score S of the single options, the total score J of the user evaluation, the total score G of the fault repair and the consumables score H; And w=0.2+0.1+0.4+0.3=1, where the weight value of the total score S of the radio option is 0.2, the weight value of the total score J of the user evaluation is 0.1, the weight value of the total score G of the fault repair is 0.4, and the weight value of the consumables score H is 0.3; Calculate the evaluation value A based on the total score V; 7. The method for automatic evaluation of a material recovery system according to claim 1, characterized in that: The evaluation price in S3 is calculated as follows: The final evaluation price is calculated proportionally based on the number of days remaining from the current time, that is, the expiration date is set, and the difference ΔD between the expiration time and the current time is calculated based on the current date Dexpire and the expiration date Dcurrent. When the difference ΔD between the expiration time and the current time is less than or equal to 546 days, the product price is 1 / 1000, and when the difference ΔD between the expiration time and the current time is greater than 546 days, the product price is ΔD=Dexpire-Dcurrent; The difference between the expiration date and the current date, i.e. the number of days remaining. You need to ensure that the date format supports direct subtraction to obtain the difference in days. The calculation formula of the appraisal price is as follows: The adjusted product price P is calculated based on the difference ΔD in the remaining days, and is represented by the piecewise function P: Where P represents the adjusted product price calculated based on the difference ΔD in the remaining days, K represents the original price of the product, and A represents the evaluation value of the product's total score; If the remaining days are less than or equal to 546 days, the product price will be one thousandth of the original price as the evaluation price; if the remaining days are greater than 546 days, the product price will be the product of the original price and the evaluation value of the total score of the product, which is the evaluation price.

8. The method for automatic evaluation based on a material recovery system according to claim 1, characterized in that: The model of time series analysis prices and influencing parameters: Among them, K represents the initial price of the product, k represents the decay rate, and t represents the time step. Product prices expressed as a time series; That is, the product's value in the time series is calculated through the product's initial price and decay rate, and the calculated value is analyzed and processed with the calculated evaluation price; Among them, Y is represented by the ratio calculation of the difference between the time series price and the appraisal price and the appraisal price.

9. The method for automatic evaluation based on a material recovery system according to claim 8, characterized in that: The influencing parameters are calculated as follows: Calculation of price volatility coefficient: Among them, p 波动 It is expressed as the price volatility coefficient, σ is expressed as the standard deviation of the price data, and μ is expressed as the mean value of the price data; Average of price data: Among them, n represents the number of price data, i represents the sequence of price data, and y i Prices expressed as a time series; Standard deviation of price data: Price trend coefficient calculation: p 趋势 =R 2 ; Among them, R 2 Expressed as regression sum of squares, p 趋势 Expressed as price trend coefficient; Compute the regression sum of squares: in, Expressed as the sum of squared errors, Expressed as the average price, Expressed as the total sum of squares; Price cycle coefficient calculation: in, denoted as the cyclical contribution in the extracted price data, and N as the total number of price data.

10. The method for automatic evaluation based on a material recovery system according to claim 9, characterized in that: The assessment price in S4 is adjusted: F=P×Y×p 影响 ; Among them, F represents the final price after the evaluation price is revised, P represents the adjusted product price calculated based on the difference ΔD of the remaining days, and Y represents the ratio calculation of the difference between the time series price and the evaluation price and the evaluation price, p 影响 Expressed as an influencing parameter; Among them, p 影响 =p 波动 ×p 趋势 ×p 周期 ; Among them, p 波动 Expressed as the price volatility coefficient, p 趋势 Price trend coefficient calculation, p 周期 Calculation of price cycle coefficient.

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