CN-121981799-A - Information identification method and system based on mapping relation

CN121981799ACN 121981799 ACN121981799 ACN 121981799ACN-121981799-A

Abstract

The invention provides an information identification method and system based on a mapping relation, and relates to the technical field of enterprise informatization and intelligent supply chains; the method comprises the steps of receiving order data to be identified, extracting order key information from the order data to be identified through a regular expression algorithm, carrying out matching operation on the order key information and a mapping relation library according to a preset matching priority order to obtain a matching result, judging whether the matching result is successful, outputting the matching result to a delivery system if the matching result is successful, otherwise, generating an abnormal task containing an abnormal reason and a processing suggestion, pushing the abnormal task to manual processing, and updating the mapping relation library according to manual processing feedback of the abnormal task. According to the invention, through a multi-stage matching and feedback learning mechanism, full scene automation of the matching process of orders and commodities is realized, and the matching efficiency and precision are greatly improved.

Inventors

XU PENG
DENG WANZHANG
WU WENCHAO

Assignees

深圳市智臻云采科技有限公司

Dates

Publication Date: 20260505
Application Date: 20260107

Claims (10)

1. The information identification method based on the mapping relation is characterized by comprising the following steps of: s1, constructing a mapping relation library between orders and commodities; s2, receiving order data to be identified; S3, extracting order key information from the order data to be identified through a regular expression algorithm; S4, matching operation is carried out on the order key information and the mapping relation library in a multi-priority matching operation mode, and a matching result is obtained; S5, judging whether the matching result is successful matching, if so, outputting the matching result to a shipping system, otherwise, generating an abnormal task containing an abnormal reason and a processing suggestion, and pushing to manual processing; and S6, updating the mapping relation library according to manual processing feedback of the abnormal task.
2. The information identification method based on the mapping relation according to claim 1, wherein the mapping relation library specifically comprises a standard mapping relation, a customized commodity mapping relation and a combined package mapping relation.
3. The mapping-based information identification method according to claim 1, wherein the step S2 specifically includes: S201, receiving original order data from an external order system; S202, analyzing and checking the original order data, generating the original order data to be identified when the checking is passed, generating a completion task containing missing information when the checking finds that a preset filling word segment is missing, and pushing the completion task to manual processing; s203, determining the initial order data to be identified or the completion order data to be identified generated after the completion task is processed as the order data to be identified.
4. The mapping-based information identification method according to claim 1, wherein the step S3 specifically includes: S301, carrying out format judgment on the order data to be identified; s302, determining key information storage positions of orders with different formats according to a format judgment result and a preset format field mapping configuration table; S303, extracting fields of different types of key information through a regular expression based on the key information storage position to obtain original field content; and S304, carrying out standardization processing on the original field content to generate the order key information.
5. The mapping-based information identification method according to claim 1, further comprising, after the step S3, before the step S4: S3A, triggering a fault-tolerant mechanism when fields in the order key information do not accord with a preset validity rule; S3B, calculating the similarity between the field content triggering the fault tolerance mechanism and the corresponding standard field in the mapping relation library; S3C, generating a candidate value list based on the similarity; S3D, pushing the review task containing the field content and the candidate value list to manual processing; And S3E, updating the corresponding field content in the order key information according to manual processing feedback.
6. The mapping-based information identification method according to claim 1, wherein the step S4 specifically includes: s401, determining the order type according to field composition in the order key information; S402, based on the order type, executing accurate matching operation of a first priority, and comparing the order key information with standard fields in the mapping relation library in a full-scale consistency mode, when the comparison is completely consistent, obtaining a first matching result, and when the comparison is not completely consistent, entering into a step S403; S403, executing rule matching operation of a second priority based on the order with the order type being a package type, checking package rules and disassembling, obtaining a second matching result when the checking and the disassembling are successful, and entering step S404 when the checking and the disassembling are unsuccessful; S404, performing fuzzy matching operation of a third priority, and calculating difference field similarity when only single field difference exists between the order and standard information, wherein when the difference field similarity reaches a similarity threshold value, a third matching result is obtained; s405, integrating and judging the first matching result, the second matching result or the third matching result, if the matching is successful, generating an order matching result containing a corresponding commodity identifier, and if all matching operations are unsuccessful, generating an abnormal mark; Wherein the order matching result and the anomaly flag constitute the matching result.
7. The information identification method based on the mapping relation according to claim 1, wherein the step S5 specifically includes: When the matching result is successfully matched, namely the matching result is an order matching result, converting the order matching result into an order commodity list data file and automatically sending the order commodity list data file to the shipping system of the enterprise; when the matching result is unsuccessful, namely the matching result is an abnormal mark, generating the abnormal task comprising the corresponding order mark, the abnormal reason and the processing suggestion, pushing the abnormal task to a first processing person, and if the abnormal task is not processed in a preset time, pushing the abnormal task to a second processing person.
8. The information identification method based on the mapping relation according to claim 1, wherein the step S6 is specifically: Recording key operation information in the information identification process and storing the key operation information as a log; And updating the mapping relation library according to manual processing feedback of the abnormal task.
9. An information identification system based on a mapping relation is characterized by comprising a processor and a memory; The memory stores a program or instructions executable on the processor, which when executed by the processor, implement the steps of the mapping relation based information identification method as claimed in any one of claims 1 to 8.
10. A readable storage medium, wherein a program or instructions is stored on the readable storage medium, which when executed by a processor, implements the steps of the mapping-based information identifying method according to any one of claims 1 to 8.

Description

Information identification method and system based on mapping relation Technical Field The invention relates to the technical field of enterprise informatization and intelligent supply chains, in particular to an information identification method and system based on a mapping relation. Background In the fields of electronic commerce, retail, manufacturing and the like, order processing and commodity shipment are key links of supply chain performance. With the increasing personalization of consumer demand, order types have expanded from single standard goods to complex forms including customized goods, combination packages. This makes the difficulty of "order-commodity exact matching" dramatically increasing, becoming a key bottleneck affecting shipping timeliness, operating costs, and customer experience. The traditional matching mode of manually comparing commodity names, specification parameters and customization demands on a single-unit basis is difficult to meet the requirements of enterprises on efficiency, accuracy and cost control when facing massive and changeable orders. Currently, one prior art solution employed in the industry is a purely manual verification matching solution. The staff derives an order list from the e-commerce platform or the order system, opens a commodity SKU list in the enterprise ERP system, compares whether fields such as commodity description, specification, color, customization requirement and the like in the order are consistent with records in the SKU library line by line visually, fills in corresponding SKU codes manually after confirmation, and finally leads the result into the delivery system. However, the matching process in the prior art relies on manual experience and real-time attention completely, so that the processing efficiency is low, the order peak value is difficult to deal with in a large scale, and the higher mismatch rate is caused by manual fatigue, text ambiguity and misoperation. Disclosure of Invention In view of the shortcomings of the prior art, an object of the embodiments of the present invention is to provide an information identification method based on a mapping relationship, which can solve the technical problems that in the prior art, a matching process is completely dependent on manual experience and real-time attention, processing efficiency is low, large-scale order peak value handling is difficult, and high mismatch rate occurs due to manual fatigue, text ambiguity and misoperation. In a first aspect of an embodiment of the present invention, an information identification method based on a mapping relationship is provided, including: s1, constructing a mapping relation library between orders and commodities; s2, receiving order data to be identified; s3, extracting order key information from order data to be identified through a regular expression algorithm; s4, matching operation is carried out on the order key information and the mapping relation library in a multi-priority matching operation mode, and a matching result is obtained; s5, judging whether the matching result is successful matching, if so, outputting the matching result to a shipping system, otherwise, generating an abnormal task containing an abnormal reason and a processing suggestion, and pushing to manual processing; And S6, updating the mapping relation library according to manual processing feedback of the abnormal task. In a second aspect of the embodiment of the invention, an information identification system based on a mapping relation is provided, which comprises a processor and a memory; the memory stores a program or instructions executable on the processor, which when executed by the processor, implement the steps of the mapping relationship based information identification method as described in the first aspect. In a third aspect of the embodiments of the present invention, a readable storage medium is provided, on which a program or an instruction is stored, which when executed by a processor, implements the steps of the mapping relationship based information identifying method according to the first aspect. The technical scheme provided by the embodiment of the invention has the beneficial effects that at least: In the embodiment of the invention, the dependence on manual experience and real-time attention is thoroughly eliminated by constructing the mapping relation library and carrying out automatic matching operation according to the preset priority, so that the matching efficiency and the peak processing capacity are obviously improved, the problem of mismatch caused by manual fatigue, text ambiguity and misoperation is effectively overcome by systematic information extraction and matching operation, and the shipping error rate and the related after-sale cost are greatly reduced. Drawings The drawings are only for purposes of illustrating particular embodiments and are not to be construed as limiting the invention, like reference numerals being used t