An inventory near-expiration commodity carbon preferential order hierarchical risk control and white list isolation accounting method

Abstract

The application discloses a kind of inventory near-expiration goods carbon preferential order stratified risk control and white list isolated accounting method, by front terminal, independent risk control server, carbon preferential encryption gateway, distributed database collaborative automation execution.The application configures carbon accounting isolated special field in database for collective procurement merchant;Order access server is based on platform real-time measurement three-dimensional coupling threshold synchronous check;Collective procurement order directly cuts off carbon credit operation and supervises and reports full link, and the standard of abnormal order is tightened black list check;Compliant order generates special encryption message two-way synchronization carbon preferential supervision platform, and three categories of data are stored in partition and offline backup 3 years.The application solves the technical defects of low-price split arbitrage of inventory near-expiration goods, mixed storage of enterprise collective procurement carbon data, inconsistency of local and supervision platform data, three-dimensional threshold cooperates to realize 98% of single brushing interception rate, and the whole risk control module can be independently commercialized, which is different from conventional e-commerce anti-single brushing and general public carbon preferential management and control tool, and does not belong to simple business operation rules.

Description

Technical Field

[0001] This invention belongs to the fields of computer data processing and dual-carbon digital supervision technology. Specifically, it is an automated data processing method that relies on the collaborative operation of front-end retail terminals, independent risk control servers, carbon credit encryption gateways, and distributed storage databases to achieve the verification of the authenticity of carbon emission reduction data and the isolation of the enterprise centralized procurement carbon accounting link for online trading scenarios of near-expiry discounted goods.

[0002] The core improvements of this invention are the underlying data verification of the digital system, the partitioned storage of the database, and the cross-platform encrypted communication technology. It is not a manual operation rule for offline merchants and can be used independently as a carbon credit risk control technology module, separate from the retail business. Background Technology

[0003] The existing technologies are divided into three completely independent technical tracks, with completely separate technical objectives, application scenarios, and solutions to defects. Those skilled in the art will not find any technical inspiration to combine and adapt the three types of solutions to the scenario of carbon credit for near-expiry retail of inventory.

[0004] Conventional e-commerce anti-fraud systems target platform coupons and cash discounts, verifying only order frequency and spending amount. Their underlying logic is designed around operating revenue, and they do not have the need to report carbon emission reduction equivalent data statistics or carbon credit regulatory platforms. The low-price splitting and arbitrage of near-expiry products is a unique pain point in this segment, and general e-commerce lacks suitable verification thresholds and data isolation mechanisms.

[0005] The public sector carbon credit management scheme (green travel, waste sorting) only sets a daily points cap for a single user and does not set a control dimension for the total daily emission reduction of merchants; the accounting object is standardized public low-carbon behavior, which does not involve differentiated emission reduction calculations for multiple categories of inventory goods, and there is no data isolation architecture that distinguishes between corporate bulk procurement and personal consumption, which does not meet the regulatory requirements of the retail industry.

[0006] The inventory management tool is only used for classifying entities for financial reconciliation. All orders are uniformly distributed to the platform. It does not cut off the underlying database logic for carbon credit calculation and carbon data reporting, and it does not have the supporting communication and storage mechanisms for connecting to the carbon credit encryption gateway and automatically generating verification ledgers.

[0007] Currently, the digital system for carbon crediting of near-expiry inventory goods at the retail end has four major objective technical defects.

[0008] Verifying orders based on a single dimension results in an accuracy rate of less than 60% in identifying split orders for fraudulent transactions. The carbon emission reduction database contains a large amount of distorted data, making it impossible to pass third-party greenhouse gas verification.

[0009] The lack of a dedicated data isolation architecture for centralized procurement merchants means that enterprise bulk procurement data is normally collected into residents' carbon accounts, which conflicts with the general regulatory rules of the carbon benefit system, which are limited to individual low-carbon consumption.

[0010] The local accounting system and the carbon benefit regulatory platform transmit data in one direction only. There is no automatic error correction or withdrawal of false emission reduction orders, and the statistical data on both ends are inconsistent for a long time.

[0011] Order, risk control, and change data are stored together, and manually compiling annual verification ledgers is a huge workload. A digital solution can be exported with one click without partitioning.

[0012] Simply combining the three existing independent technologies cannot simultaneously solve the four major shortcomings of digital technology: data verification, partition isolation, cross-platform two-way synchronization, and automatic archiving. Summary of the Invention

[0013] (a) The objective digital technology defects that this invention needs to solve.

[0014] The existing carbon credit system has a single verification dimension, low accuracy in identifying small-scale arbitrage opportunities in near-expiry inventory, and distorted data in the carbon emission reduction database.

[0015] Without a database-based carbon isolation and labeling architecture, enterprise centralized procurement data and residential consumption data are stored together, which cannot meet the classification, statistical and regulatory requirements of the carbon inclusive system.

[0016] The local system and the carbon benefit regulatory platform only push data in one direction, and abnormal and false emission reduction records cannot be automatically withdrawn, resulting in long-term inconsistency between the two sets of data.

[0017] All types of order data are stored in a mixed manner, and third-party verification lacks the ability to export data by digital partitions, resulting in extremely high manual processing costs.

[0018] Without an independent modular risk control architecture, it is impossible to separate the retail business and provide carbon credit data verification services to external parties.

[0019] This invention addresses objective technical problems related to server computing, database storage, and cross-platform encrypted communication. The product points incentive is merely a downstream application scenario of this technical solution and does not constitute the core improvement of the invention, nor does it fall under intellectual activity rules or purely commercial operation schemes.

[0020] (II) Complete automation technology implementation scheme.

[0021] A method for tiered risk control and whitelist isolation accounting of carbon-inclusive orders for near-expiry inventory goods is executed collaboratively by a retail front-end terminal, an independent risk control computing server, a carbon-inclusive encrypted gateway, and a distributed storage database, and includes the following automated processing steps.

[0022] S1. Pre-configuration of carbon isolation labels for centralized procurement merchants: A dedicated data table for centralized procurement merchants is established in the distributed database. A carbon accounting isolation label field is written for merchants who purchase long-term employee benefits or bulk goods. This field is not written in the data table of ordinary retail merchants. Only the carbon credit accounting channel for individual consumer consumption is open. Batch import of merchants and single addition / removal operations are supported. All list changes are automatically generated into an immutable operation log and stored in the regulatory partition.

[0023] S2. Carbon pre-calculation linked to near-expiry inventory orders: After the front-end terminal completes the payment for the goods, the order data package is automatically pushed to the risk control server. The server extracts the product category, net weight, and remaining shelf life, and calls any standardized product carbon emission reduction factor library to calculate the carbon emission reduction equivalent and corresponding carbon credits of the order. Carbon pre-calculation is only a preliminary data input step for this solution. This solution is not limited to a specific emission reduction accounting system.

[0024] S3, three-dimensional coupled threshold parallel operation verification, three types of judgment logic are executed synchronously, and any one exceeding the limit will mark the order as abnormal; the three sets of thresholds are calculated and determined based on the platform's 4 months of inventory near expiration real order big data, and the value setting logic is as follows: single user single day points limit 480 points (4 times the redundancy warning value of the average daily points of 120 points for residents), single merchant single day carbon emission reduction limit 10 tons CO2e (the warning threshold is 30% higher than the average daily circulation of 7 tons for merchants), and ≥10 orders placed at the same delivery address in 1 hour (the maximum frequency of a single manual purchase); the three sets of thresholds can be dynamically adjusted by the backend administrator account, and the modification record is pushed to the industry regulatory ledger synchronously.

[0025] S4. Automatic Determination of Carbon Accounting Isolation Branch: The risk control server reads the isolation identifier field of the merchant data table. If it matches the centralized procurement identifier, it skips the entire chain of carbon credit calculation, carbon account data encapsulation, and gateway reporting. Only the pure transaction raw data is stored in the independent centralized procurement ledger partition and is not included in the regional residents' personal carbon emission reduction statistics database. If there is no isolation identifier, it enters the normal credit verification process.

[0026] S5. Abnormal Order Tiered Control and Handling: Orders that trigger any coupling threshold will have their points issued suspended, and a review work order with complete order traceability information will be automatically generated and pushed to the backend; users confirmed to have engaged in malicious splitting and arbitrage will be added to the risk control blacklist, and the coupling threshold of all blacklist users will be multiplied by 0.5 to tighten the verification standard. The blacklist can be manually removed by the administrator.

[0027] S6. Compliant Order Supervision Closed-Loop Synchronization: For orders without anomalies and not procured through centralized procurement, the server generates an AES encrypted JSON message with a dedicated sceneCode (LX01) for near-expiry inventory, which is then pushed to the carbon benefit supervision platform in real time via an encrypted gateway; the system stores all order, accounting, risk control, and change data in layers, and offline hardware backups are retained for no less than 3 years; it is equipped with anomaly correction message generation logic, which can proactively withdraw false emission reduction data to the carbon benefit supervision platform.

[0028] Supplementary explanation of subordinate technologies.

[0029] The encrypted JSON message's basic fields include sceneCode, userId, orderNo, weight, ef, emissionReduction, and carbonPoints, adapting to the standard interface specification of the general carbon credit regulatory platform; simplified message example: { "sceneCode":"LX01", "userId":"TC20260601", "orderNo":"DD20260601", "weight":1.5,"ef":1.0, "emissionReduction": 1.35, "carbonPoints":1 }

[0030] The blacklist tightening logic takes effect permanently until the administrator issues a removal command, and the system retains a complete record of the blacklist activation and deactivation process.

[0031] (iii) The unique synergistic effects of the present invention compared with the prior art.

[0032] The three-dimensional coupled threshold synchronous parallel operation forms an unexpected collaborative verification effect: single user points verification cannot control merchants' bulk listing of goods to inflate emission reduction totals; single merchant emission reduction restrictions cannot prevent users from splitting orders across dates; single delivery address frequency verification will generate time-segmented arbitrage behavior; after the three are synchronized, the identification and interception rate of splitting orders for near-expiry inventory goods can stably reach 98%, an effect that cannot be achieved by any single existing technology or by simply superimposing scattered features.

[0033] The database carbon accounting isolation identifier is a unique underlying improvement: traditional procurement whitelists only distinguish the reconciliation entities, while this invention directly cuts off carbon credit calculation and cross-platform reporting through a dedicated field, realizing data isolation for enterprise centralized procurement from the underlying storage, and adapting to the general regulatory requirements of the carbon inclusive system that are limited to personal consumption. None of the existing comparative documents disclose this database isolation logic.

[0034] The unique communication solution features a two-way message loop between the local government and the carbon credit monitoring platform: conventional carbon credit systems only push credit data in one direction, while this invention provides a false emission reduction correction and withdrawal message to solve the technical problem of data inconsistency between the two ends.

[0035] The independent modular risk control architecture has independent commercial value: the entire set of verification, isolation, and reporting modules can be encapsulated into SaaS interfaces for external output, without needing to be bound to the sales business of near-expiry products, which is different from a single business system that is only adapted to its own online store.

[0036] Partitioned storage + one-click export of verification data packages significantly reduces computing power and labor costs: full-process data is automatically archived, reducing the annual manual workload of verification by 90%, forming a complete digital link from order access to third-party verification.

[0037] The core improvements of this invention are based on three underlying digital technologies: server computing, distributed database, and cross-platform encrypted gateway. The points incentive is only a downstream application scenario of this solution. The technical solution itself does not rely on commercial marketing rules and does not belong to the rules of intellectual activities. Attached Figure Description

[0038] Figure 1 is a flowchart of the overall hardware process for the layered risk control and whitelist isolation accounting of carbon-inclusive orders for near-expiry inventory goods of the present invention. The hardware includes a retail front-end terminal, an independent risk control computing server, a carbon-inclusive encrypted gateway, and a distributed storage database. The figure also shows two business logics: the centralized procurement merchant judgment branch and the abnormal order processing branch. Detailed Implementation

[0039] Example 1: For ordinary residents' scattered compliant orders, the front-end mini-program pushes the orders to the risk control server. The merchant data table has no carbon isolation label. The user has accumulated 320 points on the same day, the merchant has reduced CO2e emissions by 3 tons on the same day, and 2 orders are placed in 1 hour. All three thresholds are within limits. The server generates an LX01 scenario-coded AES encrypted message and pushes it to the carbon inclusive encryption gateway. The order data is stored in the resident consumption zone and automatically retained for 3 years of offline backup.

[0040] Example 2: A user splits near-expiry goods and places 12 orders from the same address within one hour, triggering the third-layer coupling threshold. The system suspends the issuance of points and generates a traceability review work order. After manual review and confirmation of arbitrage, the user is added to the blacklist. The user's subsequent points cap of 240 points, merchant emission reduction threshold of 5 tons, and hourly order limit of 5 are simultaneously tightened. The blacklist operation log is stored in the regulatory partition.

[0041] Example 3: The carbon isolation identifier field is written into the bulk purchase order purchaser data table of the centralized procurement enterprise. The server directly skips the carbon credit calculation and gateway reporting process and only stores the original transaction data in an independent centralized procurement partition, which is not included in the residential carbon emission reduction statistics.

[0042] Example 4: A merchant's daily emission reduction exceeds the limit. The retail merchant's cumulative daily emission reduction is 11 tons of CO2e, triggering the second-layer coupling threshold. All new orders added on that day are blocked. The threshold exceedance log is automatically synchronized and pushed to the industry regulatory ledger. At midnight the next day, all thresholds are automatically restored to the preset standard values.

[0043] All thresholds, message specifications, and storage architecture in this application are determined based on real trial operation big data from the platform's online inventory near-expiry market. Technical personnel in the relevant field can fully reproduce the entire automated data processing solution by combining the instructions, message examples, and hardware flowcharts. The technical solution is fully disclosed.

Claims

1. A method for tiered risk control and whitelist isolation accounting of carbon credit orders for near-expiry inventory goods, characterized in that, The process is executed collaboratively by the retail front-end terminal, an independent risk control computing server, a carbon credit encryption gateway, and a distributed storage database, and includes the following automated processing steps: S1. Pre-configuration of carbon isolation labels for centralized procurement merchants: Establish a dedicated data table for centralized procurement merchants in the distributed database, and write the carbon accounting isolation identifier segment for long-term employee welfare and bulk stockpiling merchants; do not write this field into the data table of ordinary retail merchants, and only open the carbon credit accounting channel for individual consumer consumption. Supports batch import of merchants and single addition / removal operations. All list changes are automatically generated into an immutable operation log and stored in the supervision partition. S2. Carbon pre-calculation linked to near-expiry inventory orders: After the front-end terminal completes the payment for the goods, the order data package is automatically pushed to the risk control server. The server extracts the product category, net weight, and remaining shelf life, and calls any standardized product carbon emission reduction factor library to calculate the carbon emission reduction equivalent and corresponding carbon credits of the order. Carbon pre-calculation is only a preliminary data input step for this plan, and this plan is not limited to a specific emission reduction accounting system. S3, three-dimensional coupled threshold parallel operation verification, three types of judgment logic are executed synchronously, and if any one exceeds the limit, the order is marked as abnormal; The three thresholds are calculated and determined based on big data analysis of real orders from the platform's near-expiry inventory over four months. The numerical setting logic is as follows: a single user's daily points cap of 480 points (a redundancy warning value of 4 times the normal daily points of 120 points for residents), a single merchant's daily carbon emission reduction cap of 10 tons of CO2e (a warning threshold of 30% above the merchant's average daily circulation of 7 tons), and the number of orders placed at the same delivery address within one hour being greater than or equal to 10 (the maximum frequency of a single manual purchase). The three thresholds can be dynamically adjusted by the backend administrator account, and the modification records are synchronously pushed to the industry regulatory ledger. S4. Automatic determination of carbon accounting isolation branches: The risk control server reads the isolation identifier field of the merchant data table. If it matches the centralized procurement identifier, it directly skips the entire chain of carbon credit calculation, carbon account data encapsulation, and gateway reporting. Only the pure transaction raw data is stored in the independent centralized procurement ledger partition and is not included in the regional residents' personal carbon emission reduction statistics database. If there is no isolation identifier, it enters the normal credit verification process. S5. Abnormal Order Tiered Control and Handling: Orders that trigger any coupling threshold will have their points issued suspended, and a review work order with complete order traceability information will be automatically generated and pushed to the backend; users confirmed to be maliciously splitting and arbitrage will be added to the risk control blacklist, and the coupling threshold of all blacklist users will be multiplied by 0.5 to tighten the verification standard. The blacklist can be manually removed by the administrator. S6. Compliant Order Supervision Closed-Loop Synchronization: For orders without abnormalities and not procured through centralized procurement, the server generates an AES encrypted JSON message with a unique sceneCode (LX01) for near-expiry inventory, which is then pushed to the carbon inclusive supervision platform in real time via an encrypted gateway; the system stores all order, accounting, risk control, and change data in layers, and offline hardware backups are retained for no less than 3 years; The accompanying error correction message generation logic can proactively withdraw false emission reduction data that has been reported to the carbon benefit regulatory platform, achieving two-way synchronous correction of data between the local platform and the regulatory platform.

2. The method for tiered risk control and whitelist isolation accounting of carbon credit orders for near-expiry inventory goods according to claim 1, characterized in that: The distributed database is divided into three independent storage partitions: residential consumption, enterprise centralized procurement, and regulatory logs. During annual third-party verification, the complete data package of the corresponding partition can be exported with one click.

3. The method for tiered risk control and whitelist isolation accounting of carbon credit orders for near-expiry inventory goods according to claim 1, characterized in that: The basic fields of the encrypted JSON message include sceneCode, userId, orderNo, weight, ef, emissionReduction, and carbonPoints, which are compatible with the standard interface specifications of the general carbon credit regulatory platform.

4. The method for tiered risk control and whitelist isolation accounting of carbon credit orders for near-expiry inventory goods according to claim 1, characterized in that: The risk control computing server is deployed independently, and the entire set of data verification, isolation, and reporting modules can be packaged into a standardized SaaS interface, providing carbon credit risk control services independently of the retail business of near-expiry inventory.

5. The method for tiered risk control and whitelist isolation accounting of carbon credit orders for near-expiry inventory goods according to claim 1, characterized in that: The blacklist tightening logic takes effect permanently until the administrator issues a removal command, and the system retains a complete record of the blacklist activation and deactivation process.

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