CN116050974A - Logistics state visual tracking method and system - Google Patents
Logistics state visual tracking method and system Download PDFInfo
- Publication number
- CN116050974A CN116050974A CN202211718934.XA CN202211718934A CN116050974A CN 116050974 A CN116050974 A CN 116050974A CN 202211718934 A CN202211718934 A CN 202211718934A CN 116050974 A CN116050974 A CN 116050974A
- Authority
- CN
- China
- Prior art keywords
- state information
- logistics
- information
- order
- module
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000000007 visual effect Effects 0.000 title claims abstract description 36
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000000605 extraction Methods 0.000 claims description 5
- 230000002159 abnormal effect Effects 0.000 abstract description 3
- 230000008569 process Effects 0.000 description 6
- 230000002349 favourable effect Effects 0.000 description 3
- 238000012800 visualization Methods 0.000 description 2
- 230000009471 action Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0833—Tracking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
- G06Q30/0635—Processing of requisition or of purchase orders
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Business, Economics & Management (AREA)
- Economics (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Marketing (AREA)
- Accounting & Taxation (AREA)
- Theoretical Computer Science (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Human Resources & Organizations (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a visual tracking method and a visual tracking system for a logistics state, wherein the method comprises the following steps: setting a background database; acquiring logistics state information and storing the logistics state information in a background database; extracting order state information from the stream state information; and configuring corresponding tracking state information according to the order state information, and generating a corresponding visualized route track according to the corresponding tracking state information. The invention solves the problems that in the existing logistics transportation, the logistics state information is easy to lose, the corresponding tracking state information is not configured in the logistics state information, and the lost logistics state information cannot be timely retrieved, so that the goods transportation state is often abnormal.
Description
Technical Field
The invention relates to the technical field of logistics management, in particular to a logistics state visual tracking method and system.
Background
In the logistics transportation industry, it is important to acquire various logistics state information in the cargo transportation process in time, and clients can know the current transportation condition of the cargo more clearly by acquiring the logistics state information. In the existing logistics transportation, logistics state information is easy to lose, corresponding tracking state information is not configured on the logistics state information, and when the logistics state information is lost, the logistics state information cannot be timely retrieved, so that abnormal states often occur in the cargo transportation state, and the understanding of customers on the cargo transportation state is affected.
Disclosure of Invention
Aiming at the defects, the invention provides a visual tracking method and a visual tracking system for a logistics state, which aim to solve the problems that in the existing logistics transportation, the logistics state information is easy to lose, corresponding tracking state information is not configured in the logistics state information, and the lost logistics state information cannot be timely retrieved, so that the abnormal state of the goods transportation state often occurs.
To achieve the purpose, the invention adopts the following technical scheme:
a visual tracking method for physical distribution state comprises the following steps:
step S1: setting a background database;
step S2: acquiring logistics state information and storing the logistics state information in the background database;
step S3: extracting order state information from the logistics state information;
step S4: and configuring corresponding tracking state information according to the order state information, and generating a corresponding visualized route track according to the corresponding tracking state information.
Preferably, in step S4, corresponding tracking status information is configured according to the order status information, specifically including the following sub-steps:
and judging whether the order state information meets the configuration requirement, namely whether the order is twisted in each logistics flow, and if so, automatically configuring corresponding tracking state information.
Preferably, in step S4, corresponding tracking state information is configured according to the order state information, and the method specifically further includes the following sub-steps: when the order state information is too much, priority processing is carried out on a plurality of order state information, and the order state information with the highest priority is configured with corresponding tracking state information.
Preferably, in step S4, a corresponding visualized routing track is generated according to the corresponding tracking state information, specifically including the following sub-steps:
step S41: acquiring logistics information of a plurality of goods service points according to the configuration of the corresponding tracking state information;
step S42: the logistics information of a plurality of goods service points is recorded in the background database;
step S43: and traversing the logistics information of each goods service point in the background database, and connecting the two adjacent goods service points.
Preferably, in step S4, when the order status information of the goods cannot be configured to the corresponding tracking status information, the predicted track may be generated according to the historical logistics status information record of the corresponding goods in the background database.
Another aspect of the present application provides a logistic status visualization tracking system, the system comprising:
the setting module is used for setting a background database;
the acquisition module is used for acquiring logistics state information;
the storage module is used for storing the logistics state information in the background database;
the extraction module is used for extracting order state information from the logistics state information;
the configuration module is used for configuring corresponding tracking state information according to the order state information;
and the generation module is used for generating a corresponding visual route track according to the corresponding tracking state information.
Preferably, the configuration module comprises a judging submodule, wherein the judging submodule is used for judging whether the state information of the order meets the configuration requirement, namely whether the order is twisted in each logistics flow, and if so, the corresponding tracking state information is automatically configured;
the configuration module further comprises a priority processing sub-module, which is used for performing priority processing on a plurality of order state information when the order state information is too much, and configuring corresponding tracking state information for the order state information with the highest priority.
Preferably, the generating module includes:
the acquisition sub-module is used for acquiring logistics information of a plurality of goods service points according to the configuration of the corresponding tracking state information;
the recording sub-module is used for recording the logistics information of a plurality of goods service points in the background database;
the traversal submodule is used for traversing the logistics information of each cargo in the background database;
and the connecting sub-module is used for connecting two adjacent goods service points.
Preferably, the system further comprises a prediction module, wherein the prediction module is used for generating a prediction track according to the historical logistics state information record of the corresponding goods in the background database when the order state information of the goods cannot be configured to the corresponding tracking state information.
The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:
according to the technical scheme, the background database is arranged, the acquired logistics state information is stored in the background database, and the logistics state information is prevented from being lost easily in the logistics transportation process. When the logistics state information is lost, corresponding tracking state information is configured according to the order state information, so that the logistics state information can be effectively positioned and tracked, and the lost logistics state information can be timely retrieved; and corresponding visual route tracks are generated according to the corresponding tracking state information, and the visual route tracks can be clearly fed back to the real-time transportation state of the customer goods.
Drawings
FIG. 1 is a flow chart of steps of a method for visually tracking a physical distribution state.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary only for explaining the present invention and are not to be construed as limiting the present invention.
A visual tracking method for physical distribution state comprises the following steps:
step S1: setting a background database;
step S2: acquiring logistics state information and storing the logistics state information in the background database;
step S3: extracting order state information from the logistics state information;
step S4: and configuring corresponding tracking state information according to the order state information, and generating a corresponding visualized route track according to the corresponding tracking state information.
The first step is to set a background database, wherein the background database comprises various logistics state information, and also comprises service point information of goods, transportation track time information of the goods and goods transportation operation action information. And the second step is to acquire the logistics state information and store the logistics state information in the background database, so that the logistics state information is not easy to lose in data interaction. And extracting order state information from the logistics state information, wherein the logistics state information comprises order state information, and the extraction of the order state information is favorable for matching corresponding tracking state information. And the fourth step is to configure corresponding tracking state information according to the order state information, generate a corresponding visual route track according to the corresponding tracking state information, and particularly configure the corresponding tracking state information according to the order state information, so that the logistics state information can be effectively positioned and tracked, and the logistics state information can be prevented from being lost and not found back when lost. And generating a corresponding visual route track according to the corresponding tracking state information, wherein the visual route track can be displayed on the client, so that the clients can conveniently know the real-time transportation state of the goods.
According to the technical scheme, the background database is arranged, the acquired logistics state information is stored in the background database, and the logistics state information is prevented from being lost easily in the logistics transportation process. When the logistics state information is lost, corresponding tracking state information is configured according to the order state information, so that the logistics state information can be effectively positioned and tracked, and the lost logistics state information can be timely retrieved; and corresponding visual route tracks are generated according to the corresponding tracking state information, and the visual route tracks can be clearly fed back to the real-time transportation state of the customer goods.
Preferably, in step S4, corresponding tracking status information is configured according to the order status information, and specifically includes the following sub-steps:
and judging whether the order state information meets the configuration requirement, namely whether the order is twisted in each logistics flow, and if so, automatically configuring corresponding tracking state information.
In this embodiment, when the order is twisted, the logistics state information configures corresponding tracking state information according to the order state information, so that the logistics state information can be effectively tracked, and the logistics state information which cannot be lost is prevented from being found.
Preferably, in step S4, corresponding tracking status information is configured according to the order status information, and the method specifically further includes the following sub-steps: when the order state information is too much, priority processing is carried out on a plurality of order state information, and the order state information with the highest priority is configured with corresponding tracking state information.
In this embodiment, in the process of configuring tracking status information, there may be encountered a situation that many order status information configuration processes are not performed because of excessive order status information. In the scheme, priority processing is carried out on the order state information, and corresponding tracking state information is configured on the order state information with the highest priority, so that the problem that corresponding tracking state information cannot be configured according to the order state information which is important or urgent to be processed in time when the order state information is too much can be effectively solved.
Preferably, in step S4, a corresponding visualized routing track is generated according to the corresponding tracking state information, and the method specifically includes the following sub-steps:
step S41: acquiring logistics information of a plurality of goods service points according to the configuration of the corresponding tracking state information;
step S42: the logistics information of a plurality of goods service points is recorded in the background database;
step S43: and traversing the logistics information of each goods service point in the background database, and connecting the two adjacent goods service points.
In this embodiment, in the cargo transportation process, the logistics state information of the cargo automatically configures corresponding tracking state information according to the order state information, and obtains logistics information of a plurality of cargo service points, specifically, the cargo service points refer to locations obtained through latitude and longitude of the location of the cargo, and the logistics information of the cargo service points includes cargo service point name information, cargo service point coordinate information and the like. And the logistics information of the goods service points is recorded in the background database, so that the client can inquire the logistics information of the current goods service point at the client. And the logistics information of each goods service point in the background database is traversed, and the two adjacent goods service points are connected, so that the construction of the routing track is facilitated.
Preferably, in step S4, when the order status information of the goods cannot be configured to the corresponding tracking status information, the predicted track may be generated according to the historical logistics status information record of the corresponding goods in the background database.
In this embodiment, when the order status information cannot be configured to the corresponding tracking status information during the transportation of the goods, a visual route track cannot be generated according to the corresponding tracking status information, and the visual route track is displayed on the client side for viewing by the client. At this time, the predicted track can be generated according to the historical state logistics information record of the corresponding goods in the background database, and the predicted track can be displayed on the client side, so that the customer can conveniently know the goods transportation state. For example, a good is to start from node a of the logistics flow, pass through node B of the logistics flow, and finally reach node C of the logistics flow. But the system only acquires the logistics state information from the node A to the node B, and configures corresponding tracking state information according to the order state information extracted from the logistics state information, so as to generate a visual routing track of goods from the node A to the node B. When the system cannot acquire the logistics state information from the node B to the node C, the predicted track of the goods from the node B to the node C can be generated according to the historical logistics state information record of the goods from the node B to the node C in the background database and provided for a customer to refer to.
Another aspect of the present application provides a logistic status visualization tracking system, the system comprising:
the setting module is used for setting a background database;
the acquisition module is used for acquiring logistics state information;
the storage module is used for storing the logistics state information in the background database;
the extraction module is used for extracting order state information from the logistics state information;
the configuration module is used for configuring corresponding tracking state information according to the order state information;
and the generation module is used for generating a corresponding visual route track according to the corresponding tracking state information.
The utility model provides a visual tracking system of commodity circulation state through setting up module, acquisition module and storage module, is favorable to preventing that commodity circulation state information from losing easily in the commodity circulation transportation. Through setting up extraction module and configuration module, be favorable to effectively locating and tracking logistics state information, can in time retrieve the logistics state information that loses. By setting the generation module, the generated visual route track can be clearly fed back to the real-time transportation state of the customer goods.
Preferably, the configuration module comprises a judging submodule, wherein the judging submodule is used for judging whether the state information of the order meets the configuration requirement, namely whether the order is twisted in each logistics flow, and if so, the corresponding tracking state information is automatically configured;
the configuration module further comprises a priority processing sub-module, which is used for performing priority processing on a plurality of order state information when the order state information is too much, and configuring corresponding tracking state information for the order state information with the highest priority.
In this embodiment, the determining sub-module is configured to determine whether the order is twisted in each logistics flow, and when the order is twisted, the logistics state information configures corresponding tracking state information according to the order state information, so that the logistics state information can be effectively tracked, and the logistics state information which cannot be lost can be prevented from being found.
By setting the priority processing sub-module, the problem that corresponding tracking state information cannot be configured according to some important or urgent order state information when the order state information is too much can be effectively solved.
Preferably, the generating module includes:
the acquisition sub-module is used for acquiring logistics information of a plurality of goods service points according to the configuration of the corresponding tracking state information;
the recording sub-module is used for recording the logistics information of a plurality of goods service points in the background database;
the traversal submodule is used for traversing the logistics information of each cargo in the background database;
and the connecting sub-module is used for connecting two adjacent goods service points.
In this embodiment, the generation of the visualized route track is achieved by setting the acquisition sub-module, the recording sub-module and the traversal sub-module. Because the logistics information of a plurality of goods service points is recorded in the background database, a client can inquire the logistics information of the current goods service point at the client.
Preferably, the system further comprises a prediction module, wherein the prediction module is used for generating a prediction track according to the historical logistics state information record of the corresponding goods in the background database when the order state information of the goods cannot be configured to the corresponding tracking state information.
In this embodiment, when the order status information cannot be configured to the corresponding tracking status information during the transportation of the goods, a visual route track cannot be generated according to the corresponding tracking status information, and the visual route track is displayed on the client side for viewing by the client. At this time, by arranging the prediction module, the prediction module can generate a prediction track according to the historical state logistics information record of the corresponding goods in the background database, and the prediction track can also be displayed on the client side, so that the customer can conveniently know the goods transportation state.
Furthermore, functional units in various embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations of the above embodiments may be made by those skilled in the art within the scope of the invention.
Claims (9)
1. A visual tracking method for physical distribution state is characterized in that: the method comprises the following steps:
step S1: setting a background database;
step S2: acquiring logistics state information and storing the logistics state information in the background database;
step S3: extracting order state information from the logistics state information;
step S4: and configuring corresponding tracking state information according to the order state information, and generating a corresponding visualized route track according to the corresponding tracking state information.
2. The visual tracking method for physical distribution state according to claim 1, wherein: in step S4, corresponding tracking status information is configured according to the order status information, and specifically includes the following sub-steps:
and judging whether the order state information meets the configuration requirement, namely whether the order is twisted in each logistics flow, and if so, automatically configuring corresponding tracking state information.
3. The visual tracking method for physical distribution state according to claim 2, wherein: in step S4, corresponding tracking status information is configured according to the order status information, and the method specifically further includes the following sub-steps: when the order state information is too much, priority processing is carried out on a plurality of order state information, and the order state information with the highest priority is configured with corresponding tracking state information.
4. The visual tracking method for physical distribution state according to claim 1, wherein: in step S4, a corresponding visualized routing track is generated according to the corresponding tracking state information, and specifically includes the following sub-steps:
step S41: acquiring logistics information of a plurality of goods service points according to the configuration of the corresponding tracking state information;
step S42: the logistics information of a plurality of goods service points is recorded in the background database;
step S43: and traversing the logistics information of each goods service point in the background database, and connecting the two adjacent goods service points.
5. The visual tracking method for physical distribution state according to claim 1, wherein: in step S4, when the order status information of the goods cannot be configured to the corresponding tracking status information, a predicted track may be generated according to the historical logistics status information record of the corresponding goods in the background database.
6. A visual tracking system of commodity circulation state, its characterized in that: use of a method of visual tracking of the status of a stream as claimed in any one of claims 1 to 5, said system comprising:
the setting module is used for setting a background database;
the acquisition module is used for acquiring logistics state information;
the storage module is used for storing the logistics state information in the background database;
the extraction module is used for extracting order state information from the logistics state information;
the configuration module is used for configuring corresponding tracking state information according to the order state information;
and the generation module is used for generating a corresponding visual route track according to the corresponding tracking state information.
7. The visual tracking system for physical distribution status of claim 6, wherein: the configuration module comprises a judging submodule, wherein the judging submodule is used for judging whether the state information of the order meets the configuration requirement, namely whether the order is twisted in each logistics flow, and if so, the corresponding tracking state information is automatically configured;
the configuration module further comprises a priority processing sub-module, which is used for performing priority processing on a plurality of order state information when the order state information is too much, and configuring corresponding tracking state information for the order state information with the highest priority.
8. The visual tracking system for physical distribution status of claim 6, wherein: the generation module comprises:
the acquisition sub-module is used for acquiring logistics information of a plurality of goods service points according to the configuration of the corresponding tracking state information;
the recording sub-module is used for recording the logistics information of a plurality of goods service points in the background database;
the traversal submodule is used for traversing the logistics information of each cargo in the background database;
and the connecting sub-module is used for connecting two adjacent goods service points.
9. The visual tracking system for physical distribution status of claim 6, wherein: the system further comprises a prediction module, wherein the prediction module is used for generating a prediction track according to the historical logistics state information record of the corresponding goods in the background database when the order state information of the goods cannot be configured to the corresponding tracking state information.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211718934.XA CN116050974A (en) | 2022-12-30 | 2022-12-30 | Logistics state visual tracking method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211718934.XA CN116050974A (en) | 2022-12-30 | 2022-12-30 | Logistics state visual tracking method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116050974A true CN116050974A (en) | 2023-05-02 |
Family
ID=86117586
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211718934.XA Pending CN116050974A (en) | 2022-12-30 | 2022-12-30 | Logistics state visual tracking method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN116050974A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117455345A (en) * | 2023-10-27 | 2024-01-26 | 广东省电子口岸管理有限公司 | Logistics whole-flow tracking visualization method and system |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2000043931A2 (en) * | 1999-01-25 | 2000-07-27 | Lilly Software Associates, Inc. | Distribution center management system |
CN102043988A (en) * | 2009-10-13 | 2011-05-04 | 上海虹迪物流配送有限公司 | Transport tracking information data processing system |
CN105225080A (en) * | 2014-07-01 | 2016-01-06 | 世纪禾光科技发展(北京)有限公司 | A kind of logistics information tracking processing method and system |
CN105631621A (en) * | 2014-11-05 | 2016-06-01 | 阿里巴巴集团控股有限公司 | Method for controlling logistics order state in distributed system and system |
CN107093119A (en) * | 2016-09-27 | 2017-08-25 | 北京小度信息科技有限公司 | A kind of sequence information detection method, apparatus and system |
CN111861332A (en) * | 2020-07-22 | 2020-10-30 | 重庆云创科技有限公司 | Logistics state visual tracking method and system based on big data analysis |
CN113435812A (en) * | 2021-06-29 | 2021-09-24 | 上海东普信息科技有限公司 | Order full-link track generation method, device, equipment and storage medium |
CN114399239A (en) * | 2021-11-15 | 2022-04-26 | 阿里巴巴(中国)有限公司 | Abnormal logistics processing method and system, electronic equipment and computer readable storage medium |
CN115495489A (en) * | 2022-09-06 | 2022-12-20 | 深圳市谐诚科技网络有限公司 | Cross-border logistics order track query method and device, terminal equipment and storage medium |
-
2022
- 2022-12-30 CN CN202211718934.XA patent/CN116050974A/en active Pending
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2000043931A2 (en) * | 1999-01-25 | 2000-07-27 | Lilly Software Associates, Inc. | Distribution center management system |
CN102043988A (en) * | 2009-10-13 | 2011-05-04 | 上海虹迪物流配送有限公司 | Transport tracking information data processing system |
CN105225080A (en) * | 2014-07-01 | 2016-01-06 | 世纪禾光科技发展(北京)有限公司 | A kind of logistics information tracking processing method and system |
CN105631621A (en) * | 2014-11-05 | 2016-06-01 | 阿里巴巴集团控股有限公司 | Method for controlling logistics order state in distributed system and system |
CN107093119A (en) * | 2016-09-27 | 2017-08-25 | 北京小度信息科技有限公司 | A kind of sequence information detection method, apparatus and system |
CN111861332A (en) * | 2020-07-22 | 2020-10-30 | 重庆云创科技有限公司 | Logistics state visual tracking method and system based on big data analysis |
CN113435812A (en) * | 2021-06-29 | 2021-09-24 | 上海东普信息科技有限公司 | Order full-link track generation method, device, equipment and storage medium |
CN114399239A (en) * | 2021-11-15 | 2022-04-26 | 阿里巴巴(中国)有限公司 | Abnormal logistics processing method and system, electronic equipment and computer readable storage medium |
CN115495489A (en) * | 2022-09-06 | 2022-12-20 | 深圳市谐诚科技网络有限公司 | Cross-border logistics order track query method and device, terminal equipment and storage medium |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117455345A (en) * | 2023-10-27 | 2024-01-26 | 广东省电子口岸管理有限公司 | Logistics whole-flow tracking visualization method and system |
CN117455345B (en) * | 2023-10-27 | 2024-07-26 | 广东省电子口岸管理有限公司 | Logistics whole-flow tracking visualization method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10354222B2 (en) | Product tracking system | |
US20090171815A1 (en) | System and method for managing product returns | |
Groggert et al. | Status quo and future potential of manufacturing data analytics—an empirical study | |
CN113672743B (en) | Fault judging method, device, electronic equipment, storage medium and product | |
CN116050974A (en) | Logistics state visual tracking method and system | |
CN104182435A (en) | System and method for searching information based on data missing mark | |
CN112561447A (en) | Intelligent factory logistics management method and device based on big data | |
CN110502486B (en) | Log processing method and device, electronic equipment and computer readable storage medium | |
CN111756778B (en) | Method, device and storage medium for pushing server disk cleaning script | |
CN109918354B (en) | HDFS-based disk positioning method, device, equipment and medium | |
CN113012278B (en) | Web-side digital factory visual monitoring method, system and storage medium | |
US20080189236A1 (en) | Monitoring a delivery chain network | |
Achetoui et al. | A review of spare parts supply chain management | |
US20060287750A1 (en) | Design data management system and trace system | |
CN203492034U (en) | Data center server and asset management system, and server management device | |
US20170185696A1 (en) | Aggregating data for visualization | |
CN110719181A (en) | Equipment abnormity warning system, method and computer readable storage medium | |
CN117519006A (en) | Production line data processing method, device, computer equipment and storage medium | |
CN107959677A (en) | Box for material circulation management method, device and electronic equipment | |
CN114428778A (en) | GeoHash-based early warning method and device for monitoring vehicle approaching risk point | |
CN106971309A (en) | A kind of enterprise's sale management system based on cloud computing | |
CN104735442A (en) | Network video recording fault positioning system and method based on duration analysis and global eye platform | |
CN115649727B (en) | Power plant multi-scale object intelligent warehouse management method and system | |
CN110930222A (en) | Price display method and system when commodity is passive and storage medium | |
CN111563717A (en) | Contract whole-process monitoring system and method |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20230502 |