Three-super-part online process processing method and device, equipment and medium
By automatically processing multi-source data, the accurate identification and labeling of three super-parts is achieved, which solves the problems of low efficiency and insufficient accuracy of manual identification, improves processing efficiency and data accuracy, simplifies the appeal process, and reduces operating costs.
Patent Information
- Application Number
- CN202411926258.4
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-25
- Publication Date
- 2025-04-25
AI Technical Summary
In the prior art, manual identification of three super-parts is not efficient and has low accuracy. It is impossible to accurately grasp the distribution status of three super-parts, resulting in difficulty in data statistics, low management and assessment efficiency, and cumbersome appeal process.
By obtaining multi-source data in real time based on multiple data sources, associating, preprocessing and setting priority, and automatically determining and marking three-over-piece orders using the three-over-piece judgment rules, online process processing is realized.
It greatly improves the processing efficiency and data accuracy of the three-part parts, simplifies the appeal process, improves the user experience, and accurately grasps the distribution of the three-part parts, reduces operating costs and improves economic benefits.
Smart Images
Figure CN119887015A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of logistics technology, and in particular to an online process processing method, device, equipment and medium for three super items. Background Art
[0002] The logistics industry generally uses manual estimation to process the length, width and height of items, but this method is unable to cope with the increasing logistics needs and the requirements of refined management. The efficiency of manual operation is extremely low, and it is impossible to meet the urgent needs of rapid logistics processing; it is also very easy to make mistakes, which seriously affects the accuracy of the data; data statistics are even more difficult, and it is impossible to accurately grasp the distribution of the three excess items, making it difficult to carry out effective management and assessment; the complaint process is also extremely cumbersome, which is both time-consuming and energy-consuming, resulting in extremely poor user experience. At the same time, it also affects the accuracy of the distribution center's package prediction, which in turn hinders the improvement of the timeliness of the entire logistics chain and the accurate judgment of the improvement of service quality. Summary of the invention
[0003] The purpose of the present invention is to solve the technical problems in the prior art that manual identification of three super-items is inefficient, has low accuracy, and cannot accurately grasp the distribution status of the three super-items.
[0004] The first aspect of the present invention provides a method for processing an online process of three super-components, comprising: Acquire multi-source data in real time based on multiple data sources; Associate multi-source data based on order numbers; Preprocessing the multi-source data to obtain preprocessed multi-source data; The use priority is set based on the preprocessed multi-source data corresponding to each data source; the preprocessed multi-source data is used to perform three-excess item judgment on the current order based on the three-excess item judgment rule according to the use priority, until the current order is determined to be three-excess item, and the current order is marked as three-excess item; The multiple data sources include distribution scanning, light curtain scanning, customer filing and OMS entry; The multi-source data includes distribution scanning data, light curtain scanning data, customer filing information and OMS input information.
[0005] Optionally, in a first implementation of the first aspect of the present invention, associating the multi-source data based on the order number includes: The distribution scanning data includes: order number, scanning time, scanning weight and scanning size; The light curtain scanning data includes: order number, volume weight and scanning time; The customer filing information includes: order number, customer ID and filing information; The OMS input information includes: order number, product information, total weight, total size and order status; The acquired distribution scanning data, light curtain scanning data, customer filing information and OMS input information are associated according to the order number through SQL statements.
[0006] Optionally, in a second implementation of the first aspect of the present invention, the preprocessing of the acquired multi-source data includes: Perform data cleaning on multi-source data to obtain cleaned multi-source data; The cleaned multi-source data is subjected to data standardization processing to obtain standardized multi-source data.
[0007] Optionally, in a third implementation of the first aspect of the present invention, the use priority is set based on the preprocessed multi-source data corresponding to each data source; the preprocessed multi-source data performs a three-excess item judgment on the current order based on the three-excess item judgment rule according to the use priority, until the current order is determined to be three-excess items, and the current order is marked as three-excess items, including: Set the usage priority for the pre-processed multi-source data, in descending order of priority: customer filing information, OMS input information, distribution scanning data, and light curtain scanning data; Feature extraction is performed based on customer filing information, including customer filing information related to the three excess items; based on the extracted customer filing information related to the three excess items, the three excess items are judged on the current order according to the three excess items judgment rules, and when the current order is judged to be the three excess items, the current order is marked as the three excess items; When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the OMS input information. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the distribution scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the light curtain scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items.
[0008] Optionally, in a fourth implementation of the first aspect of the present invention, the method further comprises: calculating logistics costs for the marked three-excess orders based on a billing model; The billing model includes: Headquarters fee = total amount of distribution operation fee * 50%; Cost of each allocation through the channel = total amount of each allocation in the basic rate maintenance table * 50%; The total amount of distribution operation fee = the sum of the distribution fees for each route.
[0009] Optionally, in a fifth implementation of the first aspect of the present invention, the method further comprises: obtaining reported evaded weight information, including: order number, reporter information, evaded weight information and evidence materials; wherein the evaded weight information includes: reported weight, reported size and reporting reason; Obtain multi-source order data based on the order number, and extract features of the order size and weight based on the multi-source order data; verify the consistency and accuracy of the extracted features based on the multi-source data; The extracted order size and weight are verified based on the reported evaded weight information. When the preset requirements are met, the report is considered valid and the current order is marked as an order with three excess pieces.
[0010] Optionally, in a sixth implementation of the first aspect of the present invention, the method further comprises: obtaining relevant information of the three-excess-item order, including order number, weight, size, and logistics cost; Generate reports based on the relevant information of the "three excess pieces" orders, including order number, weight, size and logistics costs, and display them visually.
[0011] A second aspect of the present invention provides an online process processing device for three super-components, comprising: A multi-source data acquisition module is used to acquire multi-source data in real time based on multiple data sources; The association module is used to associate multi-source data based on order numbers; A preprocessing module, used for preprocessing multi-source data to obtain preprocessed multi-source data; The identification and marking module is used to set the use priority based on the pre-processed multi-source data corresponding to each data source; the pre-processed multi-source data is used to perform three-excess item judgment on the current order based on the three-excess item judgment rule according to the use priority, until the current order is determined to be three-excess items, and the current order is marked as three-excess items; The multiple data sources include distribution scanning, light curtain scanning, customer filing and OMS entry; The multi-source data includes distribution scanning data, light curtain scanning data, customer filing information and OMS input information.
[0012] Optionally, in a first implementation of the second aspect of the present invention, the association module includes: The distribution scanning data includes: order number, scanning time, scanning weight and scanning size; The light curtain scanning data includes: order number, volume weight and scanning time; The customer filing information includes: order number, customer ID and filing information; The OMS input information includes: order number, product information, total weight, total size and order status; The acquired distribution scanning data, light curtain scanning data, customer filing information and OMS input information are associated according to the order number through SQL statements.
[0013] Optionally, in a second implementation of the second aspect of the present invention, the preprocessing module includes: The cleaning submodule is used to perform data cleaning on multi-source data to obtain cleaned multi-source data; The standardization submodule is used to perform data standardization processing on the cleaned multi-source data to obtain standardized multi-source data.
[0014] Optionally, in a third implementation of the second aspect of the present invention, the identification mark module includes: Set the usage priority for the pre-processed multi-source data, in descending order of priority: customer filing information, OMS input information, distribution scanning data, and light curtain scanning data; Feature extraction is performed based on customer filing information, including customer filing information related to the three excess items; based on the extracted customer filing information related to the three excess items, the three excess items are judged on the current order according to the three excess items judgment rules, and when the current order is judged to be the three excess items, the current order is marked as the three excess items; When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the OMS input information. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the distribution scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the light curtain scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items.
[0015] Optionally, in a fourth implementation of the second aspect of the present invention, the device further comprises: a cost accounting module, configured to perform logistics cost accounting for the marked three-excess-piece orders based on a charging model; The billing model includes: Headquarters fee = total amount of distribution operation fee * 50%; Cost of each allocation through the channel = total amount of each allocation in the basic rate maintenance table * 50%; The total amount of distribution operation fee = the sum of the distribution fees for each route.
[0016] Optionally, in a fifth implementation of the second aspect of the present invention, the device further comprises: a verification module, configured to obtain reported evaded weight information, including: order number, reporter information, evaded weight information, and evidence materials; wherein the evaded weight information comprises: reported weight, reported size, and reporting reason; Obtain multi-source order data based on the order number, and extract features of the order size and weight based on the multi-source order data; verify the consistency and accuracy of the extracted features based on the multi-source data; The extracted order size and weight are verified based on the reported evaded weight information. When the preset requirements are met, the report is considered valid and the current order is marked as an order with three excess pieces.
[0017] Optionally, in a sixth implementation of the second aspect of the present invention, the device further comprises: a display module, configured to obtain relevant information of the three-excess item order, including order number, weight, size, and logistics cost; Generate reports based on the relevant information of the "three excess pieces" orders, including order number, weight, size and logistics costs, and display them visually.
[0018] A third aspect of the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of the above-mentioned three-super-component online process processing method.
[0019] A fourth aspect of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps of the above-mentioned three-super-component online process processing method.
[0020] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention provides an online process that can greatly improve the processing efficiency of the three super parts and improve data accuracy; 2. The present invention automatically identifies and counts the three super-item data to improve data accuracy; 3. The present invention provides a complaint function through the network management module, simplifies the complaint process, and improves the user experience; 4. The present invention can accurately grasp the distribution of the three super parts and provide data support for refined management and control; 5. The present invention improves efficiency and accuracy, reduces operating costs, and improves economic benefits; BRIEF DESCRIPTION OF THE DRAWINGS Other features, objects and advantages of the present invention will become more apparent from the detailed description of non-limiting embodiments made with reference to the following drawings: Figure 1 A first flow chart of the three super-components online process processing method provided in an embodiment of the present invention.
[0021] Figure 2 A second flow chart of the three super-components online process processing method provided in an embodiment of the present invention.
[0022] Figure 3 A third flow chart of the three-super-item online process processing method provided in an embodiment of the present invention.
[0023] Figure 4 A fourth flow chart of the three-super-item online process processing method provided in an embodiment of the present invention.
[0024] Figure 5 A schematic diagram of the structure of the three super-components online process processing device provided in an embodiment of the present invention.
[0025] Figure 6 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0026] The embodiment of the present invention provides an online process processing method, device, equipment and medium for "three super items", which acquires multi-source data in real time based on multiple data sources; associates the multi-source data based on the order number; pre-processes the multi-source data to obtain pre-processed multi-source data; sets the use priority based on the pre-processed multi-source data corresponding to each data source; the pre-processed multi-source data performs a "three super items" judgment on the current order based on the "three super items" judgment rule according to the use priority, until the current order is judged to be a "three super items", and the current order is marked as a "three super items"; the multiple data sources include distribution scanning, light curtain scanning, customer filing and OMS entry; the multi-source data includes distribution scanning data, light curtain scanning data, customer filing information and OMS entry information. The present invention solves the problem in the prior art that manual identification of "three super items" is inefficient, has low accuracy, and cannot accurately grasp the distribution status of "three super items".
[0027] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0028] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 The first embodiment of the method for processing the online process of three super-components in the embodiment of the present invention includes: 101. Acquire multi-source data in real time based on multiple data sources; In this embodiment, multiple data sources including: distribution scanning, light curtain scanning, customer filing and OMS entry are used to obtain multi-source data in real time, including distribution scanning data, light curtain scanning data, customer filing information and OMS entry information; The distribution scanning data refers to the information related to the package or goods obtained by scanning equipment (such as barcode scanner, RFID reader, etc.) in the logistics distribution center or warehouse. This information usually includes the barcode of the item, the size and weight of the package, and other logistics status indicators. This data is used to track the flow of goods in real time to ensure that the status of each package in the distribution center is up to date. It can help the system understand the location and processing progress of the goods, and provide the necessary physical feature data for the subsequent judgment of the three excess items.
[0029] The light curtain scanning data mainly comes from automated logistics equipment (such as light curtain sensors), which are used to obtain the size and weight information of goods. These devices usually use a series of laser or infrared sensors to detect objects passing through the interval to accurately measure their size and weight. Light curtain scanning can quickly and accurately record the volume and weight data of items as they pass through the conveyor belt, providing a basis for judging the three excess items. Due to its high degree of automation, the data is collected relatively quickly and can reduce manual operation errors.
[0030] The customer filing information refers to the basic information and historical records related to the customer, including the customer's identity information, contact information, special needs, etc. Special needs include the filing information of "three excess items"; such information helps to improve the personalization and accuracy of order processing. By analyzing the customer filing information, features related to "three excess items" can be extracted.
[0031] The OMS input information refers to various order details entered into the order management system, including product specifications, quantity, price, shipping address, receiving time, and cargo weight and size. OMS is an integrated system used to manage and process all aspects of the order life cycle. OMS input information provides comprehensive background data for each order, including customer requirements and specific arrangements of the order. The accuracy of this information is particularly important for the identification of "three excess items" because it involves the legality, integrity and execution requirements of each order.
[0032] 102. Associate multi-source data based on order numbers; In this embodiment, multi-source data is stored in a database and associated using SQL statements.
[0033] 103. Preprocess the multi-source data to obtain preprocessed multi-source data; In this embodiment, data cleaning is performed on multi-source data, including: removing duplicate records, processing null values, processing abnormal values, etc., to obtain cleaned multi-source data; The cleaned multi-source data is subjected to data standardization processing, including: unifying data format, unit, etc., to obtain standardized multi-source data.
[0034] 104. Setting a usage priority based on the preprocessed multi-source data corresponding to each data source; performing a three-exceeding item judgment on the current order based on the preprocessed multi-source data according to the usage priority and the three-exceeding item judgment rule, until the current order is determined to be three-exceeding items, and marking the current order as three-exceeding items; In this embodiment, the use priority is set for the pre-processed multi-source data, and the priority is in the following order: customer filing information, OMS input information, distribution scanning data, and light curtain scanning data; Feature extraction is performed based on customer filing information, including customer filing information related to the three excess items; based on the extracted customer filing information related to the three excess items, the three excess items are judged on the current order according to the three excess items judgment rules, and when the current order is judged to be the three excess items, the current order is marked as the three excess items; When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the OMS input information. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the distribution scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the light curtain scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items.
[0035] This embodiment transforms the three-super-item processing flow from manual operation to automated processing, greatly improving processing efficiency and accuracy.
[0036] See also Figure 2 The second embodiment of the method for processing the three-super-item online process in the embodiment of the present invention includes: 201. Real-time acquisition of multi-source data based on multiple data sources; 202. Associating multi-source data based on order numbers; 203. Preprocess the multi-source data to obtain preprocessed multi-source data; 204. Setting a usage priority based on the preprocessed multi-source data corresponding to each data source; performing a three-exceeding item judgment on the current order based on the preprocessed multi-source data according to the usage priority and the three-exceeding item judgment rule, until the current order is determined to be three-exceeding items, and marking the current order as three-exceeding items; 205. Calculate the cost of the marked three-excess orders based on the billing model; In this embodiment, the billing model includes: Headquarters fee = total amount of distribution operation fee * 50%; Cost of each allocation through the channel = total amount of each allocation in the basic rate maintenance table * 50%; The total amount of distribution operation fee = the sum of the distribution fees for each route.
[0037] This embodiment automatically identifies the three excess items based on the online process processing method of the three excess items, and automatically calculates the logistics costs based on the billing model. The accuracy and efficiency of the fully automated operation are significantly improved.
[0038] See also Figure 3 The third embodiment of the method for processing the online process of three super-items in the embodiment of the present invention includes: 301. Real-time acquisition of multi-source data based on multiple data sources; 302. Associating multi-source data based on order numbers; 303. Preprocess the multi-source data to obtain preprocessed multi-source data; 304. Setting a usage priority based on the preprocessed multi-source data corresponding to each data source; performing a three-exceeding item judgment on the current order based on the preprocessed multi-source data according to the usage priority and the three-exceeding item judgment rule, until the current order is determined to be three-exceeding items, and marking the current order as three-exceeding items; 305. Calculate the cost of the marked three-excess orders based on the billing model; 306. Obtain the reported evaded weight information, and verify the extracted order size and weight according to the reported evaded weight information. When the preset requirements are met, the report is considered valid, and the current order is marked as an evaded weight and three excess pieces order; In this embodiment, the reported evaded weight information includes: order number, reporter information, evaded weight information and evidence materials; wherein the evaded weight information includes: reported weight, reported size and reporting reason; Obtain multi-source order data based on the order number, and extract features of the order size and weight based on the multi-source order data; verify the consistency and accuracy of the extracted features based on the multi-source data; The extracted order size and weight are verified according to the reported information on evaded weight. When the preset requirements are met, the report is considered valid and the current order is marked as an order with evaded weight and three excess pieces.
[0039] 307. Calculate the logistics costs of the orders with three excess pieces and evaded weight based on the billing model of the orders with three excess pieces and evaded weight; The billing model for the order of evading overweight and over-weight items includes: Headquarters fee = total amount of distribution operation fee * 50%; Cost of each allocation through the channel = total amount of each allocation in the basic rate maintenance table * 50%; The total amount of distribution operation fee = the sum of the distribution fees for each route.
[0040] Among them, the rate is configured according to the standards of the three excess pieces order; 308. Obtain relevant information of the three-excess-item order, including order number, weight, size, and logistics cost; generate a report based on the obtained relevant information of the three-excess-item order, including order number, weight, size, and logistics cost, and perform a visual display.
[0041] This embodiment is based on multiple data sources such as integrated distribution scanning data, light curtain scanning data, customer registration information and OMS input information to ensure the accuracy of the three super items identification and the uniqueness of the data; at the same time, by providing a variety of reports, it is convenient for managers to manage and evaluate.
[0042] See also Figure 4 The fourth embodiment of the three-super-item online process processing method in the embodiment of the present invention includes: 401. Build a middle platform, use the middle platform to identify and mark the three over-orders, and calculate the logistics costs for the marked three over-orders; 402. Build a branch manager to provide branches with a complaint function and relevant data query, respond to customer needs in a timely manner, and provide high-quality services; 403. Build a prepayment system to automatically deduct payment based on the logistics cost accounting of the three excess orders; 404. Build a financial system and perform financial accounting based on the relevant data of the three excess piece orders to ensure accurate cost accounting.
[0043] This embodiment provides the branch manager with a complaint function, simplifies the complaint process, improves user experience, and reduces misunderstandings and conflicts; at the same time, it can accurately grasp the distribution of the three excess items and provide data support for refined management and control.
[0044] The above describes the method for processing the three super-items online process in the embodiment of the present invention. The following describes the device for processing the three super-items online process in the embodiment of the present invention. Figure 5 In one embodiment of the present invention, an online process processing device for three super-components includes: A multi-source data acquisition module 501 is used to acquire multi-source data in real time based on multiple data sources; In this embodiment, based on multiple data sources including: distribution scanning, light curtain scanning, customer filing and OMS entry, multi-source data is acquired in real time, including distribution scanning data, light curtain scanning data, customer filing information and OMS entry information.
[0045] An association module 502, used to associate multi-source data based on order numbers; In this embodiment, multi-source data is stored in a database and associated using SQL statements.
[0046] A preprocessing module 503 is used to preprocess the multi-source data to obtain preprocessed multi-source data; The cleaning submodule 5031 is used to perform data cleaning processing on the multi-source data, including: removing duplicate records, processing null values, processing abnormal values, etc., to obtain cleaned multi-source data; The standardization submodule 5032 is used to perform data standardization processing on the cleaned multi-source data, including: unifying the data format, unit, etc., to obtain the standardized multi-source data.
[0047] The identification and marking module 504 is used to set the use priority based on the pre-processed multi-source data corresponding to each data source; the pre-processed multi-source data is used to perform three-exceeding-items judgment on the current order based on the use priority and the three-exceeding-items judgment rule, until the current order is determined to be three-exceeding-items, and the current order is marked as three-exceeding-items; In this embodiment, the use priority is set for the pre-processed multi-source data, and the priority is in the following order: customer filing information, OMS input information, distribution scanning data, and light curtain scanning data; Feature extraction is performed based on customer filing information, including customer filing information related to the three excess items; based on the extracted customer filing information related to the three excess items, the three excess items are judged on the current order according to the three excess items judgment rules, and when the current order is judged to be the three excess items, the current order is marked as the three excess items; When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the OMS input information. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the distribution scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the light curtain scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items.
[0048] A cost accounting module 505 is used to calculate the cost of the marked three-excess order based on the billing model; In this embodiment, the cost accounting module 505 includes: The billing model includes: Headquarters fee = total amount of distribution operation fee * 50%; Cost of each allocation through the channel = total amount of each allocation in the basic rate maintenance table * 50%; The total amount of distribution operation fee = the sum of the distribution fees for each route.
[0049] Verification module 506 is used to obtain reported evaded weight information and verify the extracted order size and weight based on the reported evaded weight information. When the preset requirements are met, the report is considered valid and the current order is marked as an evaded weight and three excess piece order.
[0050] In this embodiment, the verification module 506 includes: The reported evaded weight information includes: order number, reporter information, evaded weight information and evidence materials; wherein the evaded weight information includes: reported weight, reported size and reporting reason; Obtain multi-source order data based on the order number, and extract features of the order size and weight based on the multi-source order data; verify the consistency and accuracy of the extracted features based on the multi-source data; The extracted order size and weight are verified according to the reported information on evaded weight. When the preset requirements are met, the report is considered valid and the current order is marked as an order with evaded weight and three excess pieces.
[0051] The cost accounting module 507 for the order of evading overweight and oversize items is used to calculate the logistics cost of the order of evading overweight and oversize items based on the charging model of the order of evading overweight and oversize items; The billing model for the order of evading overweight and over-weight items includes: Headquarters fee = total amount of distribution operation fee * 50%; Cost of each allocation through the channel = total amount of each allocation in the basic rate maintenance table * 50%; The total amount of distribution operation fee = the sum of the distribution fees for each route.
[0052] Among them, the rate is configured according to the standards of the three excess pieces order; Display module 508 is used to obtain relevant information of the three-excess order, including order number, weight, size and logistics cost; generate a report based on the obtained relevant information of the three-excess order, including order number, weight, size and logistics cost, and perform visual display.
[0053] This embodiment not only optimizes the data acquisition, processing and utilization process, but also improves the overall efficiency and accuracy of the system by setting priorities and transparent accounting mechanisms, and enhances the standardization and security of the business, providing solid support for enterprises in logistics management and cost accounting.
[0054] above Figure 5 The three-super-component online process processing device in the embodiment of the present invention is described in detail from the perspective of modular functional entities, and the electronic device in the embodiment of the present invention is described in detail from the perspective of hardware processing.
[0055] Figure 6 7 is a schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. The electronic device 700 may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 710 (for example, one or more processors) and a memory 720, and one or more storage media 730 (for example, one or more mass storage devices) storing application programs 733 or data 732. Among them, the memory 720 and the storage medium 730 can be temporary storage or permanent storage. The program stored in the storage medium 730 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the electronic device 700. Furthermore, the processor 710 may be configured to communicate with the storage medium 730 to execute a series of instruction operations in the storage medium 730 on the electronic device 700.
[0056] The electronic device 700 may also include one or more power supplies 740, one or more wired or wireless network interfaces 750, one or more input and output interfaces 750, and / or one or more operating systems 731, such as Windows Serve, Mac OS X, Unix, Linux, FreeBSD, etc. It will be appreciated by those skilled in the art that Figure 6 The structure of the electronic device shown does not constitute a limitation on the electronic device, and may include more or less components than shown in the figure, or combine some components, or arrange the components differently.
[0057] The present invention also provides a computer-readable storage medium, which may be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed on a computer, the computer executes the steps of the three-super-component online process processing method.
[0058] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described system, device, or unit can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.
[0059] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or the whole or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk and other media that can store program code.
[0060] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for processing the online process of three super parts, characterized in that: include: Acquire multi-source data in real time based on multiple data sources; Associate multi-source data based on order numbers; Preprocessing the multi-source data to obtain preprocessed multi-source data; Setting usage priorities based on pre-processed multi-source data corresponding to each data source; The pre-processed multi-source data is used according to the usage priority and the three-excess-item judgment rules to judge the current order for three-excess items, until the current order is determined to be three-excess items, and the current order is marked as three-excess items; The multiple data sources include distribution scanning, light curtain scanning, customer filing and OMS entry; The multi-source data includes distribution scanning data, light curtain scanning data, customer filing information and OMS input information.
2. The method for processing the three super-components online process according to claim 1 is characterized in that: The multi-source data is associated based on the order number, include: The distribution scanning data includes: order number, scanning time, scanning weight and scanning size; The light curtain scanning data includes: order number, volume weight and scanning time; The customer filing information includes: order number, customer ID and filing information; The OMS input information includes: order number, product information, total weight, total size and order status; The acquired distribution scanning data, light curtain scanning data, customer filing information and OMS input information are associated according to the order number through SQL statements.
3. The method for processing the three super-components online process according to claim 1 is characterized in that: The preprocessing of the acquired multi-source data includes: Perform data cleaning on multi-source data to obtain cleaned multi-source data; The cleaned multi-source data is subjected to data standardization processing to obtain standardized multi-source data.
4. The method for processing the three super-components online process according to claim 1 is characterized in that: The method of setting a usage priority based on the preprocessed multi-source data corresponding to each data source; performing a three-excess item judgment on the current order based on the three-excess item judgment rule according to the usage priority of the preprocessed multi-source data, until the current order is determined to be three-excess items, and marking the current order as three-excess items, includes: Set the usage priority for the pre-processed multi-source data, in descending order of priority: customer filing information, OMS input information, distribution scanning data, and light curtain scanning data; Feature extraction is performed based on customer filing information, including customer filing information related to the three excess items; based on the extracted customer filing information related to the three excess items, the three excess items are judged on the current order according to the three excess items judgment rules, and when the current order is judged to be the three excess items, the current order is marked as the three excess items; When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the OMS input information. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the distribution scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items. When it is determined that the current order is not one of the three excess items, feature extraction is performed based on the light curtain scanning data. Based on the extracted features, the current order is judged as one of the three excess items according to the three excess item judgment rules. When it is determined that the current order is one of the three excess items, the current order is marked as one of the three excess items.
5. The method for processing the three super-components online process according to claim 1 is characterized in that: The method further comprises: calculating logistics costs for the marked three-excess orders based on the billing model; The billing model includes: Headquarters fee = total amount of distribution operation fee * 50%; Cost of each allocation through the channel = total amount of each allocation in the basic rate maintenance table * 50%; The total amount of distribution operation fee = the sum of the distribution fees for each route.
6. The method for processing the three super-components online process according to claim 1 is characterized in that: The method further includes: obtaining reported weight evasion information, including: order number, reporter information, weight evasion information and evidence materials; wherein the weight evasion information includes: reported weight, reported size and reporting reason; Obtain multi-source order data based on the order number, and extract features of the order size and weight based on the multi-source order data; verify the consistency and accuracy of the extracted features based on the multi-source data; The extracted order size and weight are verified based on the reported evaded weight information. When the preset requirements are met, the report is considered valid and the current order is marked as an order with three excess pieces.
7. The method for processing the three super-components online process according to claim 1 is characterized in that: The method further includes: obtaining relevant information of the three-excess-item order, including order number, weight, size and logistics cost; Generate reports based on the relevant information of the "three excess pieces" orders, including order number, weight, size and logistics costs, and display them visually.
8. A three-super-parts online process processing device, characterized in that: include: A multi-source data acquisition module is used to acquire multi-source data in real time based on multiple data sources; The association module is used to associate multi-source data based on order numbers; A preprocessing module, used for preprocessing multi-source data to obtain preprocessed multi-source data; An identification and marking module, used to set a usage priority based on the pre-processed multi-source data corresponding to each data source; The pre-processed multi-source data is used according to the usage priority and the three-excess-item judgment rules to judge the current order for three-excess items, until the current order is determined to be three-excess items, and the current order is marked as three-excess items; The multiple data sources include distribution scanning, light curtain scanning, customer filing and OMS entry; The multi-source data includes distribution scanning data, light curtain scanning data, customer filing information and OMS input information.
9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the three super-component online process processing method described in any one of claims 1 to 7 are implemented.
10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the computer program is executed by a processor, the steps of the three super-component online process processing method described in any one of claims 1 to 7 are implemented.