A financial settlement management method and system based on garbage collection data analysis

By analyzing the garbage image and recycling amount of garbage collection orders, determining the difficulty of identification and destruction status, the problem of inaccurate settlement results in the existing technology is solved, and accurate financial settlement processing of garbage collection orders is achieved, and processing efficiency is improved. and customer satisfaction.

CN118898524BActive Publication Date: 2025-02-11浙江虎哥废物管理有限公司
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Patent Information

Application Number
CN202411398827.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-09
Publication Date
2025-02-11
Estimated Expiration
2044-10-09

AI Technical Summary

Technical Problem

The prior art ignores the generation of differentiated settlement strategies based on the analysis results of garbage recycling data in the settlement processing of garbage recycling orders, which makes it impossible to ensure the accuracy of settlement results, especially for recycling garbage in the case of stains, wet water, etc.

Method used

By obtaining the garbage image upload data of garbage collection orders, combining the amount of garbage collection of different types, determining the difficulty of identification and destruction status, using these data for financial settlement processing, considering the degree of destruction and recycling of different types of garbage, and generating accurate settlement amount.

Benefits of technology

It realizes an accurate assessment of the deviation between the garbage image analysis results and the recycling volume of garbage collection orders, and filters out abnormal recycling orders, ensuring the reliability of financial processing results and improving customer satisfaction.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention provides a financial settlement management method and system based on garbage recycling data analysis, which belongs to the technical field of settlement management, and specifically comprises: obtaining garbage image upload data of different garbage recycling orders, and determining the difficulty of identifying and processing different garbage recycling orders in combination with different types of garbage recycling quantities of different garbage recycling orders; when the difficulty of identifying and processing the garbage recycling orders meets the requirements, based on the analysis results of the garbage image upload data of the garbage recycling orders, determining that the deviation between the analysis results of the garbage recycling orders and the garbage recycling quantities meets the requirements, and using the different types of garbage recycling quantities, contamination states and preset settlement unit prices of the garbage recycling orders to perform financial settlement processing of the garbage recycling orders, thereby ensuring the timeliness and effectiveness of the settlement processing.
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Description

Technical Field

[0001] The present invention belongs to the technical field of settlement management, and in particular relates to a financial settlement management method and system based on garbage collection data analysis. Background Art

[0002] The processing efficiency of garbage recycling can be greatly improved by building a unified garbage recycling platform. At the same time, in order to realize the settlement processing of garbage recycling orders, the data obtained by the camera module and the metering module are used in the invention patent application CN202310693599.0 "Garbage Recycling Business Model" to generate the settlement amount and send it to the garbage sellers and operators by the communication module, thereby greatly improving the settlement processing efficiency of garbage recycling. However, there are the following problems:

[0003] The existing technical solutions ignore the generation of differentiated settlement strategies based on the analysis results of garbage recycling data. For recycled garbage such as cartons, there may be stains, water, etc., so a single calculation strategy is used to accurately determine the settlement amount. Therefore, if differentiated settlement strategies cannot be generated based on the analysis results of garbage recycling data, the accuracy of the settlement results cannot be guaranteed.

[0004] In response to the above technical problems, the present invention provides a financial settlement management method and system based on garbage collection data analysis. Summary of the invention

[0005] To achieve the purpose of the present invention, the present invention adopts the following technical solutions:

[0006] According to one aspect of the present invention, a financial settlement management method based on garbage collection data analysis is provided.

[0007] A financial settlement management method based on garbage collection data analysis, specifically comprising:

[0008] S1 obtains the garbage image upload data of different garbage recycling orders, and determines the recognition and processing difficulty of different garbage recycling orders in combination with the different types of garbage recycling quantities of different garbage recycling orders, and judges whether the recognition and processing difficulty of the garbage recycling orders meets the requirements. If so, proceed to step S3, if not, proceed to the next step;

[0009] S2 parses and processes the garbage image upload data of the garbage recycling order, extracts the defiled image features of different types of garbage in the garbage recycling order, and proceeds to the next step when it is determined based on the defiled image features that the defiled state of the garbage in the garbage recycling order does not meet the requirements;

[0010] S3: based on the analysis result of the garbage image uploaded data of the garbage recycling order, when it is determined that the deviation between the analysis result of the garbage recycling order and the garbage recycling amount meets the requirement, proceed to the next step;

[0011] S4 performs financial settlement processing of the garbage recycling order using different types of garbage recycling quantities, contamination status, and preset settlement unit prices of the garbage recycling order.

[0012] The beneficial effects of the present invention are:

[0013] 1. In the present invention, based on the analysis results of the garbage image uploaded data of the garbage recycling order, it is determined whether the deviation between the analysis results of the garbage recycling order and the garbage recycling amount meets the requirements, thereby achieving accurate evaluation of the deviation between the predicted results of different types of garbage recycling amounts obtained by analyzing the garbage images of the garbage recycling order and the garbage recycling amounts, and then achieving the screening of garbage recycling orders with abnormal garbage recycling amounts, ensuring the reliability of the financial processing results of the garbage recycling orders, and avoiding the occurrence of economic losses.

[0014] 2. In the present invention, the financial settlement of garbage recycling orders is carried out using the different types of garbage recycling quantities, damage status and preset settlement unit prices of garbage recycling orders. That is, the differences in settlement unit prices due to differences in the lossless status of different types of garbage are taken into account, and further combined with the different types of garbage recycling quantities, real-time settlement processing of garbage recycling orders is realized, thereby improving customer satisfaction with garbage recycling.

[0015] A further technical solution is that the garbage image upload data of the garbage recycling order is determined according to the garbage image recognition result of the garbage recycling system.

[0016] A further technical solution is that the amounts of garbage recovery of different types are determined based on reading results of a metering device of the garbage recovery system.

[0017] A further technical solution is that the method for determining the difficulty of identifying and processing the garbage collection order is:

[0018] Determine the number of types of garbage in the garbage recycling order based on the amount of different types of garbage recycled in the garbage recycling order, and determine the garbage type complexity coefficient of the garbage recycling order based on the number of types of garbage in the garbage recycling order;

[0019] Determine the recognition difficulty coefficients of different types of garbage based on the amount of garbage collected of different types and the number of corresponding garbage images, and determine the comprehensive recognition difficulty coefficient of the garbage collection order based on the recognition difficulty coefficients of different types of garbage;

[0020] The difficulty of identifying and processing the garbage recycling order is determined based on the comprehensive identification difficulty coefficient of the garbage recycling order and the complexity coefficient of the garbage type.

[0021] A further technical solution is that the value range of the difficulty of identifying and processing the garbage recycling order is between 0 and 1, wherein when the difficulty of identifying and processing the garbage recycling order is greater than a preset processing difficulty, it is determined that the difficulty of identifying and processing the garbage recycling order does not meet the requirements.

[0022] A further technical solution is that the method for determining the financial settlement processing of the garbage collection order is:

[0023] Determine the number of garbage images with defaced image features of different types of garbage, and determine the defacement degree coefficients of different types of garbage based on the number of different types of defaced image features and image area ratios in different garbage images;

[0024] Determine the preset settlement unit price corresponding to different types of garbage based on the pollution degree coefficient of different types of garbage;

[0025] The financial settlement of the garbage recycling order is carried out based on the different types of garbage recycling quantities and preset settlement unit prices of the garbage recycling order.

[0026] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned financial settlement management method based on garbage collection data analysis.

[0027] Other features and advantages will be described in the following description. The objects and other advantages of the present invention are realized and obtained by the structures particularly pointed out in the description and drawings.

[0028] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and other features and advantages of the present invention will become more apparent by describing in detail exemplary embodiments thereof with reference to the attached drawings.

[0030] Figure 1 is a flow chart of a financial settlement management method based on waste collection data analysis;

[0031] Figure 2 is a flow chart of a method for determining the difficulty of identifying a waste collection order;

[0032] Figure 3 is a flow chart of a method for determining a financial settlement process for a waste collection order;

[0033] Figure 4 It is a framework diagram of a computer system. DETAILED DESCRIPTION

[0034] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this specification, not all of the embodiments. Based on the embodiments of this specification, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of this specification.

[0035] For recyclable garbage such as cartons, there may be stains, water, etc. Therefore, using a single calculation strategy to accurately determine the settlement amount cannot guarantee the accuracy of the settlement result.

[0036] Identification and processing difficulty: It is determined according to the amount of garbage collection of different types and the uploaded data of garbage images. Specifically, the uploaded data of garbage images is used to determine the number of uploaded garbage images. The identification and processing difficulty is determined based on the number of uploaded garbage images and the total amount of garbage collection. When the number of uploaded garbage images is 10 and the total amount of garbage collection is 20kg, the identification and processing difficulty is 10 / 50+20 / 100=0.4, where 50 and 100 are the thresholds of the number of uploaded garbage images and the total amount of garbage collection, respectively.

[0037] Garbage and Defacement Status: Determined based on the percentage of garbage images that have defacement image features.

[0038] Perform financial settlement processing of the garbage recycling order: determine preset settlement unit prices corresponding to different types of garbage based on their contamination degree coefficients, and perform financial settlement processing of the garbage recycling order based on the different types of garbage recycling quantities and preset settlement unit prices of the garbage recycling order, wherein the contamination degree coefficient is determined based on the image area ratio of the contaminated images in the different types of garbage.

[0039] Embodiment 1 To solve the above problem, according to one aspect of the present invention, Figure 1 As shown, a financial settlement management method based on garbage collection data analysis is provided, which specifically includes:

[0040] S1 obtains the garbage image upload data of different garbage recycling orders, and determines the recognition and processing difficulty of different garbage recycling orders in combination with the different types of garbage recycling quantities of different garbage recycling orders, and judges whether the recognition and processing difficulty of the garbage recycling orders meets the requirements. If so, proceed to step S3, if not, proceed to the next step;

[0041] Furthermore, the garbage image upload data of the garbage recycling order is determined according to the recognition result of the garbage image of the garbage recycling system.

[0042] Specifically, the different types of garbage collection amounts are determined based on reading results of a metering device of the garbage collection system.

[0043] It should be noted that if Figure 2 As shown, the method for determining the difficulty of identifying and processing the garbage collection order is:

[0044] Determine the number of types of garbage in the garbage recycling order based on the amount of different types of garbage recycled in the garbage recycling order, and determine the garbage type complexity coefficient of the garbage recycling order based on the number of types of garbage in the garbage recycling order;

[0045] Determine the recognition difficulty coefficients of different types of garbage based on the amount of garbage collected of different types and the number of corresponding garbage images, and determine the comprehensive recognition difficulty coefficient of the garbage collection order based on the recognition difficulty coefficients of different types of garbage;

[0046] The difficulty of identifying and processing the garbage recycling order is determined based on the comprehensive identification difficulty coefficient of the garbage recycling order and the complexity coefficient of the garbage type.

[0047] Furthermore, the value range of the difficulty of identifying and processing the garbage recycling order is between 0 and 1, wherein when the difficulty of identifying and processing the garbage recycling order is greater than a preset processing difficulty, it is determined that the difficulty of identifying and processing the garbage recycling order does not meet the requirements.

[0048] It can be understood that the comprehensive identification difficulty coefficient of the garbage recycling order is determined based on the identification difficulty coefficients of different types of garbage, specifically including:

[0049] The recognition difficulty coefficients of different types of garbage are normalized, and the comprehensive recognition difficulty coefficient of the garbage recycling order is determined by using the sum of the normalized recognition difficulty coefficients.

[0050] It should also be noted that the method for determining the difficulty of identifying and processing the garbage collection order is:

[0051] Determine the number of types of garbage in the garbage recycling order based on the amount of different types of garbage recycled in the garbage recycling order, and determine the recycling processing complexity coefficient of the garbage recycling order based on the number of types of garbage in the garbage recycling order and the total amount of garbage recycled;

[0052] Determining the number of junk images of the junk recycling order based on the analysis result of the junk image data, and determining the image recognition difficulty coefficient of the junk recycling order based on the number of junk images of the junk recycling order;

[0053] The difficulty of identifying and processing the garbage recycling order is determined based on the image recognition difficulty coefficient and the recycling processing complexity coefficient of the garbage recycling order.

[0054] It is also necessary to further explain that the method for determining the difficulty of identifying and processing the garbage collection order is:

[0055] S11 determines the number of types of garbage in the garbage recycling order based on the amount of different types of garbage collected in the garbage recycling order, and judges whether the number of types of garbage in the garbage recycling order is greater than the preset number of types. If so, proceed to the next step; if not, proceed to step S14;

[0056] S12 determines the total amount of garbage collected in the garbage collection order based on the amount of different types of garbage collected in the garbage collection order, and judges whether the total amount of garbage collected in the garbage collection order is within a preset collection amount range. If so, proceeds to the next step; if not, determines that the difficulty of identifying and processing the garbage collection order does not meet the requirements;

[0057] S13 determines the number of junk images of the junk recycling order based on the analysis result of the junk image data, and judges whether the number of junk images of the junk recycling order is greater than a preset number of junk images. If so, it is determined that the difficulty of identifying and processing the junk recycling order does not meet the requirement. If not, proceed to the next step.

[0058] S14 determines the recycling processing complexity coefficient of the garbage recycling order by using the number of types of garbage in the garbage recycling order and the total amount of garbage recycling, and judges whether the recycling processing complexity coefficient of the garbage recycling order meets the requirements. If so, proceeds to the next step; if not, determines that the identification processing difficulty of the garbage recycling order does not meet the requirements;

[0059] S15 determines the number of garbage images of the garbage recycling order based on the analysis results of the garbage image data, and determines the image recognition difficulty coefficient of the garbage recycling order based on the number of garbage images of the garbage recycling order, and determines the recognition and processing difficulty of the garbage recycling order based on the image recognition difficulty coefficient of the garbage recycling order and the recycling processing complexity coefficient.

[0060] S2 parses and processes the garbage image upload data of the garbage recycling order, extracts the defiled image features of different types of garbage in the garbage recycling order, and proceeds to the next step when it is determined based on the defiled image features that the defiled state of the garbage in the garbage recycling order does not meet the requirements;

[0061] Furthermore, the defaced image features include image features of different defacement types corresponding to different types of garbage.

[0062] It is understandable that determining that the waste contamination status in the waste recycling order does not meet the requirements specifically includes:

[0063] Determine the type of garbage with the damaged image feature in the garbage collection order based on the analysis result of the damaged image feature, and use it as the damaged garbage type;

[0064] Determine the number of garbage images with defaced image features of different defaced garbage types, and determine the defacement degree coefficients of different defaced garbage types based on the number of different types of defaced image features and image area ratios in different garbage images;

[0065] The basic weight coefficients of different types of contaminated garbage are determined based on the garbage collection amounts of different types of contaminated garbage, and the garbage contamination status value of the garbage collection order is determined in combination with the contamination degree coefficients of the different types of contaminated garbage. Based on the garbage contamination status value, it is determined whether the garbage contamination status in the garbage collection order meets the requirements.

[0066] Further, when the garbage contamination status value of the garbage recycling order is within a preset range, it is determined that the garbage contamination status of the garbage recycling order meets the requirements.

[0067] It should also be noted that when the garbage contamination status of the garbage recycling order meets the requirements, the financial settlement of the garbage recycling order will not be processed temporarily, and financial settlement will be processed after a second manual review.

[0068] It should also be noted that determining that the waste contamination status in the waste recycling order does not meet the requirements specifically includes:

[0069] Determine the type of garbage with the damaged image feature in the garbage collection order based on the analysis result of the damaged image feature, and use it as the damaged garbage type;

[0070] Determining the severity of contamination of different contaminated garbage types using the garbage collection amount of different contaminated garbage types and the number of garbage images having contaminated image features;

[0071] After normalizing the severity of contamination of different types of contaminated garbage, a summation process is performed to determine the garbage contamination status value of the garbage recycling order, and based on the garbage contamination status value, it is determined whether the garbage contamination status in the garbage recycling order meets the requirements.

[0072] It is also necessary to further explain that determining that the waste contamination status in the waste recycling order does not meet the requirements specifically includes:

[0073] S21 determines the type of garbage with the damaged image feature in the garbage collection order based on the analysis result of the damaged image feature, and uses it as the damaged garbage type, and determines whether the number of the damaged garbage type is greater than the number of damaged types. If so, proceed to the next step, if not, proceed to step S24;

[0074] S22 determines whether the total amount of garbage collected of the contaminated garbage type meets the requirements, if so, proceeds to the next step, if not, determines that the contaminated state of the garbage in the garbage collection order does not meet the requirements;

[0075] S23 determines the number of garbage images with defaced image features of different defaced garbage types, and determines the defacement degree coefficients of different defaced garbage types in combination with the number of different types of defaced image features and the image area ratio in different garbage images, and judges whether the average values ​​of the defacement degree coefficients of different defaced garbage types meet the requirements, if so, proceeds to the next step, if not, determines that the defacement state of the garbage in the garbage recycling order does not meet the requirements;

[0076] S24 determines the severity of contamination of different contaminated garbage types by using the garbage collection amount of different contaminated garbage types and the number of garbage images with contaminated image features, and determines whether the number of contaminated garbage types whose contamination severity does not meet the requirements is greater than a preset quantity threshold, if so, determines that the contamination status of the garbage in the garbage collection order does not meet the requirements, if not, proceeds to the next step;

[0077] S25 normalizes the severity of contamination of different types of contaminated garbage, performs summation processing to determine the garbage contamination status value of the garbage recycling order, and determines whether the garbage contamination status in the garbage recycling order meets the requirements based on the garbage contamination status value.

[0078] S3: based on the analysis result of the garbage image uploaded data of the garbage recycling order, when it is determined that the deviation between the analysis result of the garbage recycling order and the garbage recycling amount meets the requirement, proceed to the next step;

[0079] Further, determining whether the deviation meets the requirements specifically includes:

[0080] Based on the analysis results of the garbage image upload data of the garbage recycling order, determining the estimated recycling amount of different types of garbage based on the analysis results;

[0081] Determine the deviation anomaly coefficient of different types of garbage according to the deviation between the estimated recycling amount of different types of garbage and the recycling amount of the garbage and the preset settlement unit price;

[0082] The order abnormality coefficient of the garbage recycling order is determined based on the deviation abnormality coefficients of different types of garbage, and the order abnormality coefficient is used to determine whether the deviation situation meets the requirements.

[0083] It is understandable that when the deviation does not meet the requirements, the financial settlement of the garbage recycling order will not be processed temporarily, and an abnormal reminder of the garbage image upload data will be output, and the garbage image upload process will be re-performed.

[0084] It should also be noted that determining that the deviation meets the requirements specifically includes:

[0085] S31 determines the estimated recycling amount of different types of garbage based on the analysis result based on the analysis result of the garbage image upload data of the garbage recycling order, and determines whether there is a garbage type whose deviation is not within a preset range according to the deviation between the estimated recycling amount of different types of garbage and the garbage recycling amount, if so, proceeds to the next step, if not, determines that the deviation meets the requirements;

[0086] S32: The garbage type whose deviation is not within the preset interval is regarded as the deviation garbage type, and whether there is a deviation garbage type whose deviation is greater than the preset deviation threshold value is determined. If yes, it is determined that the deviation situation does not meet the requirement. If not, proceed to the next step.

[0087] S33 determines whether the quantity of the deviation garbage type meets the requirement, if yes, proceeds to the next step, if no, proceeds to step S35;

[0088] S34 determines the deviation anomaly coefficients of different types of garbage according to the deviations between the estimated recycling amounts of different types of garbage and the recycling amounts of the garbage, and the preset settlement unit prices, and determines whether there is a type of garbage whose deviation anomaly coefficient does not meet the requirements. If so, proceed to the next step; if not, determine that the deviation situation meets the requirements.

[0089] S35 determines whether the number of garbage types whose deviation abnormality coefficient does not meet the requirement meets the requirement, if so, proceeds to the next step, if not, determines that the deviation situation does not meet the requirement;

[0090] S36 determines the order abnormality coefficient of the garbage recycling order based on the deviation abnormality coefficients of different types of garbage, and uses the order abnormality coefficient to determine whether the deviation situation meets the requirements.

[0091] S4 performs financial settlement processing of the garbage recycling order using different types of garbage recycling quantities, contamination status, and preset settlement unit prices of the garbage recycling order.

[0092] Specifically, Figure 3 As shown, the method for determining the financial settlement processing of the garbage collection order is:

[0093] Determine the number of garbage images with defaced image features of different types of garbage, and determine the defacement degree coefficients of different types of garbage based on the number of different types of defaced image features and image area ratios in different garbage images;

[0094] Determine the preset settlement unit price corresponding to different types of garbage based on the pollution degree coefficient of different types of garbage;

[0095] The financial settlement of the garbage recycling order is carried out based on the different types of garbage recycling quantities and preset settlement unit prices of the garbage recycling order.

[0096] Embodiment 2 In the second aspect, as Figure 4 As shown, the present invention provides a computer system, comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes the above-mentioned financial settlement management method based on garbage collection data analysis.

[0097] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device, equipment, and non-volatile computer storage medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0098] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0099] The above description is only one or more embodiments of this specification and is not intended to limit this specification. For those skilled in the art, one or more embodiments of this specification may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of one or more embodiments of this specification shall be included in the scope of the claims of this specification.

Claims

1. A financial settlement management method based on garbage collection data analysis, characterized in that: Specifically include: S1 obtains the garbage image upload data of different garbage recycling orders, and determines the recognition and processing difficulty of different garbage recycling orders in combination with the different types of garbage recycling quantities of different garbage recycling orders, and judges whether the recognition and processing difficulty of the garbage recycling orders meets the requirements. If so, proceed to step S3, if not, proceed to the next step; S2 parses and processes the garbage image upload data of the garbage recycling order, extracts the defiled image features of different types of garbage in the garbage recycling order, and determines whether the defiled state of the garbage in the garbage recycling order meets the requirements based on the defiled image features. If so, proceed to the next step. If not, do not perform financial settlement processing on the garbage recycling order temporarily, and perform financial settlement processing after a second manual review. S3 determines whether the deviation between the analysis result of the garbage image upload data of the garbage recycling order and the garbage recycling amount meets the requirements based on the analysis result of the garbage recycling order. If so, proceed to the next step. If not, temporarily do not perform financial settlement processing on the garbage recycling order, output an abnormal reminder of the garbage image upload data, and re-upload the garbage image; S4 performs financial settlement processing of the garbage recycling order using different types of garbage recycling quantities, contamination states, and preset settlement unit prices of the garbage recycling order; The method for determining the difficulty of identifying and processing the garbage collection order is as follows: Determine the number of types of garbage in the garbage recycling order based on the amount of different types of garbage recycled in the garbage recycling order, and determine the garbage type complexity coefficient of the garbage recycling order based on the number of types of garbage in the garbage recycling order; Determine the recognition difficulty coefficients of different types of garbage based on the amount of garbage collected of different types and the number of corresponding garbage images, and determine the comprehensive recognition difficulty coefficient of the garbage collection order based on the recognition difficulty coefficients of different types of garbage; Determining the difficulty of identifying and processing the garbage recycling order based on the comprehensive identification difficulty coefficient of the garbage recycling order and the complexity coefficient of the garbage type; Determining whether the waste contamination status in the waste recycling order meets the requirements, specifically including: Determine the type of garbage with the damaged image feature in the garbage collection order based on the analysis result of the damaged image feature, and use it as the damaged garbage type; Determine the number of garbage images with defaced image features of different defaced garbage types, and determine the defacement degree coefficients of different defaced garbage types based on the number of different types of defaced image features and image area ratios in different garbage images; Determine basic weight coefficients of different contaminated garbage types based on the garbage collection amounts of different contaminated garbage types, determine the garbage contamination status value of the garbage collection order in combination with the contamination degree coefficients of the different contaminated garbage types, and determine whether the garbage contamination status in the garbage collection order meets the requirements based on the garbage contamination status value; Determine whether the deviation meets the requirements, including: Based on the analysis results of the garbage image upload data of the garbage recycling order, determining the estimated recycling amount of different types of garbage based on the analysis results; Determine the deviation anomaly coefficient of different types of garbage according to the deviation between the estimated recycling amount of different types of garbage and the recycling amount of the garbage and the preset settlement unit price; Determine the order abnormality coefficient of the garbage recycling order based on the deviation abnormality coefficients of different types of garbage, and use the order abnormality coefficient to determine whether the deviation situation meets the requirements; The method for determining the financial settlement processing of the garbage collection order is: Determine the number of garbage images with defaced image features of different types of garbage, and determine the defacement degree coefficients of different types of garbage based on the number of different types of defaced image features and image area ratios in different garbage images; Determine the preset settlement unit price corresponding to different types of garbage based on the pollution degree coefficient of different types of garbage; The financial settlement of the garbage recycling order is carried out based on the different types of garbage recycling quantities and preset settlement unit prices of the garbage recycling order.

2. The financial settlement management method based on garbage collection data analysis according to claim 1, characterized in that: The garbage image upload data of the garbage collection order is determined according to the recognition result of the garbage image of the garbage collection system.

3. The financial settlement management method based on garbage collection data analysis according to claim 1, characterized in that: The different types of garbage collection amounts are determined based on readings of a metering device of the garbage collection system.

4. The financial settlement management method based on garbage collection data analysis according to claim 1, characterized in that: The value range of the difficulty of identifying and processing the garbage recycling order is between 0 and 1. When the difficulty of identifying and processing the garbage recycling order is greater than the preset processing difficulty, it is determined that the difficulty of identifying and processing the garbage recycling order does not meet the requirements.

5. The financial settlement management method based on garbage collection data analysis according to claim 1, characterized in that: Determining the comprehensive identification difficulty coefficient of the garbage recycling order based on the identification difficulty coefficients of different types of garbage specifically includes: The recognition difficulty coefficients of different types of garbage are normalized, and the comprehensive recognition difficulty coefficient of the garbage recycling order is determined by using the sum of the normalized recognition difficulty coefficients.

6. The financial settlement management method based on garbage collection data analysis according to claim 1, characterized in that: The defaced image features include image features of different defacement types corresponding to different types of garbage.

7. A computer system comprising: A memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, characterized in that: when the processor runs the computer program, it executes a financial settlement management method based on garbage collection data analysis as described in any one of claims 1-6.

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