Waste and old material intelligent classification valuation method and system

Abstract

The invention relates to the technical field of waste and old material valuation, in particular to an intelligent waste and old material classification valuation method and system.The method comprises the steps that three views of waste and old materials are obtained, the three views of the waste and old materials are matched with three views in an image library, and classification names of the waste and old materials are obtained; comparing the three views of the waste and old materials with the three views of the normal materials corresponding to the waste and old materials to obtain a comparison result; classifying the waste and old materials into recyclable materials and non-recyclable materials based on a comparison result; the method comprises the following steps: receiving a unit recovery price of current non-reusable materials and a trading price of normal materials corresponding to reusable materials, and calculating the unit recovery price of the non-reusable materials based on the unit recovery price of the non-reusable materials, the material weight of the non-reusable materials and the trading price of the normal materials corresponding to the reusable materials; and calculating to obtain the recycling value of the non-recyclable materials and the recycling value of the recyclable materials. According to the method, the waste and old materials are estimated from the two dimensions of recycling and reusing, so that the estimation result is more comprehensive.

Description

Technical Field

[0001] The present invention relates to the technical field of waste material valuation, and in particular to a method and system for intelligent classification and valuation of waste materials. Background Art

[0002] During the large-scale construction and technological transformation of power grids, a large amount of waste materials will be generated. Waste materials can be recycled, and the waste materials need to be valued during the recycling process. The patent application number 202110491208.8 discloses a method, system and equipment for valuing waste materials in power grids. By counting and classifying all waste materials in power grids in power companies, various waste materials under each material type are obtained, and then the internal component material statistics and current damage coefficient analysis of each waste material under each material type are performed respectively, so as to respectively count the current total value of the internal components and the current total value of each waste material under each material type, so as to comprehensively evaluate the current comprehensive value of each waste material under each material type, and realize the comprehensive value evaluation of waste materials in power grids.

[0003] The inventors found that there are some defects in the above scheme. For example, the above valuation method is mainly used to valuate from the perspective of recycling, and does not valuate from the perspective of direct reuse, resulting in incomplete valuation results. Summary of the invention

[0004] In view of this, the purpose of the present invention is to propose a method and system for intelligent classification and valuation of waste materials, so as to solve the problem that the existing methods mainly perform valuation from the perspective of recycling, but not from the perspective of direct reuse, resulting in incomplete valuation results.

[0005] Based on the above purpose, the present invention provides a method for intelligent classification and valuation of waste materials, the method comprising:

[0006] Establishing a normal material image library corresponding to waste materials, the image library including three views of normal materials and corresponding normal material names;

[0007] Acquire three views of waste materials, match the three views of waste materials with three views in an image library, acquire three views of normal materials with the highest matching degree and corresponding normal material names, assign the normal material names to waste materials, acquire classification names of waste materials, compare the three views of waste materials with the three views of corresponding normal materials, and acquire comparison results;

[0008] Based on the comparison results, the waste materials are classified into reusable materials and non-reusable materials, and based on the obtained multiple classification names, the waste materials with the same name in multiple classification names are classified into one category;

[0009] Generate a code for the waste material, the code including a unique number and the letter "K" representing a reusable material or the letter "B" representing a non-reusable material, and print it;

[0010] The current unit recycling price of non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials are received, and based on the unit recycling price of the non-reusable materials, the material weight of the non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials, the recycling value of the non-reusable materials and the reuse value of the reusable materials are calculated.

[0011] Optionally, the method further includes establishing an assembly database, the assembly database includes multiple assemblies, the assembly includes multiple matching material names that can form an assembly by being connected and installed with each other, and matching the multiple matching material names with the classification names of all reusable materials in the system. When the multiple matching material names can match the classification names of the reusable materials, the codes of the reusable materials of the matched classification names are output, and at the same time, the values ​​Q1 of the reusable materials corresponding to all the matched classification names are calculated by the following formula:

[0012]

[0013] Among them, t i It represents the reuse value of the i-th reusable material, W1 represents the value-added coefficient, and W1 is greater than 1.

[0014] Optionally, after matching the multiple matching material names with the classification names of all reusable materials in the system, the method further includes:

[0015] When one of the matching material names does not match the classification name of the reusable material, and the other matching material names can match the classification name of the reusable material, the code of the reusable material of the matching classification name and the matching material name that is not matched are output, and the value K of the reusable material corresponding to all the matching classification names is calculated by the following formula:

[0016]

[0017] The value Q2 of reusable materials corresponding to all matching classification names is calculated using the following formula:

[0018]

[0019] where t i represents the reuse value of the i-th reusable material, W2 represents the value-added coefficient, W2 is greater than 1, and A represents the price of purchasing materials with the classification name that are not matched to reusable materials;

[0020] Comparing the sizes of K and Q2, when K is greater than Q2, it means that it is more cost-effective to use the reusable materials corresponding to all the matched classification names separately; when K is less than Q2, it means that it is more cost-effective to use the reusable materials corresponding to all the matched classification names in combination, and then use them together with the purchased materials without matching classification names to form an assembly.

[0021] The above method can be used to estimate which use of reusable materials is more valuable when one of the matching material names does not match the classification name of the reusable materials, and the other matching material names can match the classification names of the reusable materials, thereby further improving the comprehensiveness of the valuation of waste materials.

[0022] Optionally, the comparing of the three views of the waste material with the three views of the corresponding normal material includes shape comparison, color difference comparison and crack comparison.

[0023] Optionally, the shape comparison method includes extracting the waste material contour in the three-view drawing of the waste material, and comparing the waste material contour with the material contour in the three-view drawing of the normal material to obtain a contour comparison value.

[0024] Optionally, the color difference comparison method includes performing multi-point sampling on the image of the waste material in the three views of the waste material, performing corresponding multi-point sampling at the same position in the three views of the normal material, and calculating the color difference comparison value of each pair of sampling points between the waste material image and the normal material image by using the ΔEab color difference formula.

[0025] Optionally, the crack comparison method includes obtaining the area of ​​the crack when there is a crack in the three-view image of the waste material, then obtaining the area of ​​the normal material surface where the crack is located, and dividing the crack area by the area of ​​the normal material surface to obtain a crack comparison value.

[0026] Optionally, the classifying the waste materials into reusable materials and non-reusable materials based on the comparison result includes:

[0027] When the comparison results show that the contour contrast value, the color difference contrast value and the crack contrast value are all within the predetermined range, the waste materials are classified as reusable materials, otherwise they are classified as non-reusable materials.

[0028] Based on the same invention, the present invention also provides a waste material intelligent classification and valuation system, including an image library, a camera module, an image processing and matching module, a classification module, a code generation and printing module, and a valuation calculation module;

[0029] The image library includes three views of normal materials and corresponding names of normal materials;

[0030] The camera module is used to obtain three-view images of waste materials;

[0031] The image processing and matching module is used to match the three views of the waste materials with the three views in the image library, obtain the three views of normal materials with the highest matching degree and the corresponding normal material names, assign the normal material names to the waste materials, obtain the classification names of the waste materials, and compare the three views of the waste materials with the three views of the corresponding normal materials to obtain the comparison results;

[0032] The classification module is used to classify the waste materials into reusable materials and non-reusable materials based on the comparison results, and at the same time, based on the obtained multiple classification names, classify the waste materials with the same name in the multiple classification names into one category;

[0033] The code generation and printing module is used to generate a code for waste materials, wherein the code includes a unique number and a letter "K" representing a reusable material or a letter "B" representing a non-reusable material, and print it;

[0034] The valuation calculation module is used to receive the current unit recycling price of non-reusable materials and the buying and selling price of normal materials corresponding to reusable materials, and calculate the recycling value of non-reusable materials and the reuse value of reusable materials based on the unit recycling price of non-reusable materials, the material weight of non-reusable materials and the buying and selling price of normal materials corresponding to reusable materials.

[0035] When using this method to perform classification and valuation, first establish a normal material image library corresponding to the waste materials, the image library includes three views of normal materials and corresponding normal material names, then obtain the three views of the waste materials, match the three views of the waste materials with the views corresponding to the three views of normal materials in the image library one by one, obtain the three views of normal materials with the highest comprehensive matching degree and the corresponding normal material name, assign the normal material name to the waste materials, the three views of normal materials with the highest matching degree can be obtained by comparing the material contours in the three views, the highest contour matching degree in the three views indicates that the waste materials belong to the corresponding normal materials, obtain the classification name of the waste materials, compare the three views of the waste materials with the three views of the corresponding normal materials, obtain the comparison results, and classify the waste materials into reusable materials and non-reusable materials based on the comparison results. At the same time, based on the obtained multiple classification names, the waste materials with the same names in multiple classification names are classified into one category. That is, waste materials with the same name are divided into one category, and this category of waste materials can be divided into reusable materials and non-reusable materials. Reusable materials can be used normally again, for example, they can be used to replace parts of other equipment. Non-reusable materials cannot be used normally again and can only be used as waste recycling materials. Then a code for the waste material is generated, and the code includes a unique number and the letter "K" representing reusable materials or the letter "B" representing non-reusable materials, and is printed. The printed code can be stored together with the waste material, so that it is easy to find the corresponding waste material later. Finally, the current unit recovery price of non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials are received. Based on the unit recovery price of non-reusable materials, the material weight of non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials, the recovery value of non-reusable materials and the reuse value of reusable materials are calculated.

[0036] From the above, it can be seen that this method can classify waste materials into reusable materials and non-reusable materials, and then value the reusable materials and non-reusable materials respectively, realizing the valuation of waste materials from the two dimensions of recycling and reuse, making the valuation results more comprehensive. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 The figure is a flow chart of a classification valuation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0039] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0040] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The words "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0041] like Figure 1 As shown, a method for intelligent classification and valuation of waste materials includes:

[0042] S1: Establishing a normal material image library corresponding to waste materials, wherein the image library includes three views of normal materials and corresponding normal material names;

[0043] S2: obtaining three views of the waste materials, matching the three views of the waste materials with the three views in the image library, obtaining the three views of normal materials with the highest matching degree and the corresponding normal material names, assigning the normal material names to the waste materials, obtaining the classification names of the waste materials, and comparing the three views of the waste materials with the three views of the corresponding normal materials to obtain the comparison results;

[0044] S3: Classify the waste materials into reusable materials and non-reusable materials based on the comparison results, and classify the waste materials with the same name in multiple classification names into one category based on the obtained multiple classification names;

[0045] S4: Generate a code for the waste material, the code including a unique number and a letter "K" representing a reusable material or a letter "B" representing a non-reusable material, and print it;

[0046] S5: Receive the current unit recycling price of non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials, and calculate the recycling value of the non-reusable materials and the reuse value of the reusable materials based on the unit recycling price of the non-reusable materials, the material weight of the non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials.

[0047] When using this method to perform classification and valuation, first establish a normal material image library corresponding to the waste materials, the image library includes three views of normal materials and corresponding normal material names, then obtain the three views of the waste materials, match the three views of the waste materials with the views corresponding to the three views of normal materials in the image library one by one, obtain the three views of normal materials with the highest comprehensive matching degree and the corresponding normal material name, assign the normal material name to the waste materials, the three views of normal materials with the highest matching degree can be obtained by comparing the material contours in the three views, the highest contour matching degree in the three views indicates that the waste materials belong to the corresponding normal materials, obtain the classification name of the waste materials, compare the three views of the waste materials with the three views of the corresponding normal materials, obtain the comparison results, and classify the waste materials into reusable materials and non-reusable materials based on the comparison results. At the same time, based on the obtained multiple classification names, the waste materials with the same names in multiple classification names are classified into one category. That is, waste materials with the same name are divided into one category, and this category of waste materials can be divided into reusable materials and non-reusable materials. Reusable materials can be used normally again, for example, they can be used to replace parts of other equipment. Non-reusable materials cannot be used normally again and can only be used as waste recycling materials. Then a code for the waste material is generated, and the code includes a unique number and the letter "K" representing reusable materials or the letter "B" representing non-reusable materials, and is printed. The printed code can be stored together with the waste material, so that it is easy to find the corresponding waste material later. Finally, the current unit recovery price of non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials are received. Based on the unit recovery price of non-reusable materials, the material weight of non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials, the recovery value of non-reusable materials and the reuse value of reusable materials are calculated.

[0048] From the above, it can be seen that this method can classify waste materials into reusable materials and non-reusable materials, and then value the reusable materials and non-reusable materials respectively, realizing the valuation of waste materials from the two dimensions of recycling and reuse, making the valuation results more comprehensive.

[0049] In some embodiments, the method further includes establishing an assembly database, the assembly database includes multiple assemblies, the assembly includes multiple matching material names that can be connected and installed to form an assembly, the multiple matching material names are matched with the classification names of all reusable materials in the system, when the multiple matching material names can match the classification names of the reusable materials, the codes of the reusable materials of the matched classification names are output, and at the same time, the values ​​Q1 of the reusable materials corresponding to all the matched classification names are calculated by the following formula:

[0050]

[0051] Among them, t i It represents the reuse value of the i-th reusable material, W1 represents the value-added coefficient, and W1 is greater than 1.

[0052] Usually, the combined use of materials is more valuable than the single use value. Therefore, in order to more comprehensively evaluate the value of reusable materials, in this method, an assembly database is established, and the assembly includes multiple matching material names that can be connected and installed to form an assembly. The multiple matching material names are matched with the classification names of all reusable materials in the system. When multiple matching material names can match the classification name of the reusable material, it means that these matched reusable materials can be connected to form an assembly for combined use, which will increase the overall value of the reusable materials. The code of the reusable material with the matching classification name is output, and then the value Q1 of the reusable material is calculated by the above formula. W1 is greater than 1, so that the value of combined use is greater than the value of single use. The specific value can be obtained based on actual operating experience. For example, multiple market prices of the corresponding assembly can be obtained and then divided by Get multiple results and then take the average of the multiple results.

[0053] In some cases, for example, an assembly has four matching material names, but only three reusable materials are matched, and one is not matched. At this time, the three reusable materials cannot be directly used as an assembly. However, if the price of the new product of the unmatched material is relatively low, a new one can be directly bought and combined with the other three reusable materials to form an assembly. At this time, the three reusable materials may be more valuable when used in combination. Therefore, in order to further comprehensively perform valuation evaluation, in some embodiments, after matching the multiple matching material names with the classification names of all reusable materials in the system, the following steps are further included:

[0054] When one of the matching material names does not match the classification name of the reusable material, and the other matching material names can match the classification name of the reusable material, the code of the reusable material of the matching classification name and the matching material name that is not matched are output, and the value K of the reusable material corresponding to all the matching classification names is calculated by the following formula:

[0055]

[0056] The value Q2 of reusable materials corresponding to all matching classification names is calculated using the following formula:

[0057]

[0058] where t i represents the reuse value of the i-th reusable material, W2 represents the value-added coefficient, W2 is greater than 1, and the specific value of W2 can be obtained based on actual operation experience. For example, multiple market prices of the corresponding assembly can be obtained and then divided by Multiple results are obtained, and then the average of the multiple results is taken to obtain, A represents the price of purchasing materials with the classification name that does not match the reusable materials;

[0059] Comparing the sizes of K and Q2, when K is greater than Q2, it means that it is more cost-effective to use the reusable materials corresponding to all the matched classification names separately; when K is less than Q2, it means that it is more cost-effective to use the reusable materials corresponding to all the matched classification names in combination, and then use them together with the purchased materials without matching classification names to form an assembly.

[0060] The above method can be used to estimate which use of reusable materials is more valuable when one of the matching material names does not match the classification name of the reusable materials, and the other matching material names can match the classification names of the reusable materials, thereby further improving the comprehensiveness of the valuation of waste materials.

[0061] In some embodiments, the comparing of the three views of the waste material with the three views of the corresponding normal material includes shape comparison, color difference comparison and crack comparison.

[0062] Optionally, the shape comparison method includes extracting the waste material contour in the three views of the waste material, comparing the waste material contour with the material contour in the three views of the normal material, and obtaining a contour comparison value. The specific comparison method can use some existing algorithms. For example, in the GB / T standard, the contour comparison value is calculated by extracting twice the maximum distance from a point on the line contour (i.e., a point on the waste material contour) to a fitted line contour (i.e., the material contour in the three views of the normal material).

[0063] Optionally, the color difference comparison method includes performing multi-point sampling on the image of the waste material in the three views of the waste material, performing corresponding multi-point sampling at the same position in the three views of the normal material, and calculating the color difference comparison value of each pair of sampling points between the waste material image and the normal material image by using the ΔEab color difference formula. The ΔEab color difference formula is a prior art and will not be described in detail.

[0064] Optionally, the crack comparison method includes obtaining the area of ​​the crack when there is a crack in the three views of the waste material, then obtaining the area of ​​the normal material surface where the crack is located, and dividing the area of ​​the crack by the area of ​​the normal material surface to obtain the crack comparison value. The area of ​​the crack can be obtained by the existing pixel point method, and the area of ​​the normal material surface can be obtained by measurement and calculation, or by extracting the contour through the image processing module in the prior art, and then calculating the area corresponding to the contour through the corresponding function. This is the prior art and will not be repeated.

[0065] In some embodiments, classifying the waste materials into reusable materials and non-reusable materials based on the comparison results includes:

[0066] When the comparison results show that the contour contrast value, the color difference contrast value and the crack contrast value are all within the predetermined range, the waste materials are classified as reusable materials, otherwise they are classified as non-reusable materials.

[0067] When the comparison results show that the contour contrast value, color difference contrast value and crack contrast value are all within the predetermined range, it means that the difference between the waste materials and normal materials at this time is not big and can be reused, so they are classified as reusable materials. When at least one ratio is not within the predetermined range, it means that the difference is large and cannot be reused, so they are classified as non-reusable materials.

[0068] In order to further implement the present invention, the present invention also provides a waste material intelligent classification and valuation system, including an image library, a camera module, an image processing and matching module, a classification module, a code generation and printing module, and a valuation calculation module;

[0069] The image library includes three views of normal materials and corresponding names of normal materials;

[0070] The camera module is used to obtain three-view images of waste materials;

[0071] The image processing and matching module is used to match the three views of the waste materials with the three views in the image library, obtain the three views of normal materials with the highest matching degree and the corresponding normal material names, assign the normal material names to the waste materials, obtain the classification names of the waste materials, and compare the three views of the waste materials with the three views of the corresponding normal materials to obtain the comparison results;

[0072] The classification module is used to classify the waste materials into reusable materials and non-reusable materials based on the comparison results, and at the same time, based on the obtained multiple classification names, classify the waste materials with the same name in the multiple classification names into one category;

[0073] The code generation and printing module is used to generate a code for waste materials, wherein the code includes a unique number and a letter "K" representing a reusable material or a letter "B" representing a non-reusable material, and print it;

[0074] The valuation calculation module is used to receive the current unit recycling price of non-reusable materials and the buying and selling price of normal materials corresponding to reusable materials, and calculate the recycling value of non-reusable materials and the reuse value of reusable materials based on the unit recycling price of non-reusable materials, the material weight of non-reusable materials and the buying and selling price of normal materials corresponding to reusable materials.

[0075] From the above, it can be seen that this system can classify waste materials into reusable materials and non-reusable materials, and then value the reusable materials and non-reusable materials separately, realizing the valuation of waste materials from the two dimensions of recycling and reuse, making the valuation results more comprehensive.

[0076] It should be understood by those skilled in the art that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention (including the claims) is limited to these examples. Within the scope of the present invention, the technical features in the above embodiments or in different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the above aspects of the present invention, which are not provided in detail for the sake of simplicity.

[0077] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for intelligent classification and valuation of waste materials, characterized in that: The method comprises: Establishing a normal material image library corresponding to waste materials, the image library including three views of normal materials and corresponding normal material names; Acquire three views of waste materials, match the three views of waste materials with three views in an image library, acquire three views of normal materials with the highest matching degree and corresponding normal material names, assign the normal material names to waste materials, acquire classification names of waste materials, compare the three views of waste materials with the three views of corresponding normal materials, and acquire comparison results; Based on the comparison results, the waste materials are classified into reusable materials and non-reusable materials, and based on the obtained multiple classification names, the waste materials with the same name in multiple classification names are classified into one category; Generate a code for the waste material, the code including a unique number; The current unit recycling price of non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials are received, and based on the unit recycling price of the non-reusable materials, the material weight of the non-reusable materials and the buying and selling price of normal materials corresponding to the reusable materials, the recycling value of the non-reusable materials and the reuse value of the reusable materials are calculated.

2. The method for intelligent classification and valuation of waste materials according to claim 1, characterized in that: The method further includes establishing an assembly database, the assembly database includes a plurality of assemblies, the assembly includes a plurality of matching material names that can be connected and installed to form an assembly, matching the plurality of matching material names with the classification names of all reusable materials in the system, and when the plurality of matching material names can match the classification names of the reusable materials, outputting the codes of the reusable materials of the matched classification names, and calculating the values ​​Q1 of the reusable materials corresponding to all the matched classification names by the following formula: Among them, t i It represents the reuse value of the i-th reusable material, W1 represents the value-added coefficient, and W1 is greater than 1.

3. The method for intelligent classification and valuation of waste materials according to claim 2 is characterized in that: After matching the multiple matching material names with the classification names of all reusable materials in the system, the method further includes: When one of the matching material names does not match the classification name of the reusable material, and the other matching material names can match the classification name of the reusable material, the code of the reusable material of the matching classification name and the matching material name that is not matched are output, and the value K of the reusable material corresponding to all the matching classification names is calculated by the following formula: The value Q2 of reusable materials corresponding to all matching classification names is calculated using the following formula: Among them, t i represents the reuse value of the i-th reusable material, W2 represents the value-added coefficient, W2 is greater than 1, and A represents the price of purchasing materials with the classification name that are not matched to reusable materials; Comparing the sizes of K and Q2, when K is greater than Q2, it means that it is more cost-effective to use the reusable materials corresponding to all the matched classification names separately; when K is less than Q2, it means that it is more cost-effective to use the reusable materials corresponding to all the matched classification names in combination, and then use them together with the purchased materials without matching classification names to form an assembly.

4. The method for intelligent classification and valuation of waste materials according to claim 1, characterized in that: The comparison of the three views of the waste material and the three views of the corresponding normal material includes shape comparison, color difference comparison and crack comparison.

5. The method for intelligent classification and valuation of waste materials according to claim 4 is characterized in that: The shape comparison method includes extracting the waste material contour in the three views of the waste material, comparing the waste material contour with the material contour in the three views of the normal material, and obtaining a contour comparison value.

6. The method for intelligent classification and valuation of waste materials according to claim 5 is characterized in that: The color difference comparison method includes performing multi-point sampling on the image of the waste material in the three views of the waste material, performing corresponding multi-point sampling at the same position in the three views of the normal material, and calculating the color difference comparison value of each pair of sampling points of the waste material image and the normal material image by using the ΔEab color difference formula.

7. The method for intelligent classification and valuation of waste materials according to claim 6 is characterized in that: The crack comparison method includes obtaining the area of ​​the crack when there is a crack in the three-view drawing of the waste material, then obtaining the area of ​​the normal material surface where the crack is located, and dividing the crack area by the area of ​​the normal material surface to obtain a crack comparison value.

8. The method for intelligent classification and valuation of waste materials according to claim 7 is characterized in that: The classification of waste materials into reusable materials and non-reusable materials based on the comparison results includes: When the comparison results show that the contour contrast value, the color difference contrast value and the crack contrast value are all within the predetermined range, the waste materials are classified as reusable materials, otherwise they are classified as non-reusable materials.

9. A system for executing the method for intelligent classification and valuation of waste materials as claimed in any one of claims 1 to 8, characterized in that: It includes image library, camera module, image processing and matching module, classification module, coding generation and printing module and valuation calculation module; The image library includes three views of normal materials and corresponding names of normal materials; The camera module is used to obtain three-view images of waste materials; The image processing and matching module is used to match the three views of the waste materials with the three views in the image library, obtain the three views of normal materials with the highest matching degree and the corresponding normal material names, assign the normal material names to the waste materials, obtain the classification names of the waste materials, and compare the three views of the waste materials with the three views of the corresponding normal materials to obtain the comparison results; The classification module is used to classify the waste materials into reusable materials and non-reusable materials based on the comparison results, and at the same time, based on the obtained multiple classification names, classify the waste materials with the same name in the multiple classification names into one category; The code generation and printing module is used to generate a code for waste materials, and the code includes a unique number; The valuation calculation module is used to receive the current unit recycling price of non-reusable materials and the buying and selling price of normal materials corresponding to reusable materials, and calculate the recycling value of non-reusable materials and the reuse value of reusable materials based on the unit recycling price of non-reusable materials, the material weight of non-reusable materials and the buying and selling price of normal materials corresponding to reusable materials.

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