Automatic article classification system for logistics supply chain

Abstract

The invention relates to the technical field of logistics supply, and discloses an automatic article classification system for a logistics supply chain. The logistics supply chain article automatic classification system comprises an integrated information comprehensive management module and an article transportation information recording module, and the integrated information comprehensive management module is connected with the article transportation information recording module through a data link signal. The article transportation information recording module is connected with a cloud data real-time transceiving module and an article identification module through a network, and the article identification module is linked with a classification decision module through a data link signal. Through the arrangement of the article transportation planning and recording module, the on-going transportation task can be tracked and monitored in real time, the transportation safety of classified articles is guaranteed, the whole system is simple in architecture, the functions of all the modules are uniformly distributed, and good operation processing efficiency is achieved for automatic classification of regional logistics supply chain articles.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics supply, and in particular to an automatic classification system for items in a logistics supply chain. Background Art

[0002] With the rapid development of e-commerce and the increasing frequency of global trade, the logistics industry has become increasingly important in economic activities. In the logistics supply chain, the classification of items is a key link. Traditional logistics classification mainly relies on manual operations. Workers classify items according to their shape, size, weight, destination and other characteristics, and then allocate them to different transportation channels or storage areas.

[0003] With the advancement of science and technology, some automation technologies have begun to be applied in the field of logistics. For example, the emergence of barcode and QR code technology allows items to be initially classified through scanning and identification. In addition, some mechanical conveying devices and sorting equipment have also been introduced to improve the efficiency of handling and sorting items.

[0004] However, the above classification method still requires manual cooperation in identification and judgment, which is easily affected by subjective factors and leads to classification errors. At the same time, it is difficult to accurately distinguish items with similar appearance or unclear features, which is easy to cause confusion. In the classification process of a large number of items, it is often necessary to coordinate and cooperate in multiple links, such as transportation and verification. The poor connection between these links will lead to waste of time and reduce classification efficiency. In addition, in the current classification process of most logistics supply chain items, the collection of item information is not comprehensive enough. It may only record the basic information of the items, but lacks detailed records of important information such as item characteristics and transportation requirements, which is not conducive to subsequent classification and management.

[0005] Therefore, the present invention aims to provide an automatic classification system for items in a logistics supply chain to improve the deficiencies in the prior art. Summary of the invention

[0006] In view of the shortcomings of the prior art, the present invention provides an automatic classification system for items in a logistics supply chain, which solves the problems in the existing logistics supply chain item classification process, such as insufficient collection of item information, lack of detailed records of important information such as item characteristics and transportation requirements, which is not conducive to subsequent classification and management.

[0007] To achieve the above objectives, the present invention is implemented through the following technical solutions: an automatic classification system for items in a logistics supply chain, including an integrated information comprehensive management module and an item transportation information collection module, the integrated information comprehensive management module and the item transportation information collection module are connected through a data link signal, the item transportation information collection module is respectively connected to a cloud data real-time transceiver module and an item identification module through a network, the item identification module is connected to a classification decision module through a data link signal, the output end of the classification decision module is connected to an item transportation module through an Ethernet network, and the output end of the item transportation module is respectively connected to an information flow security management module and an item transportation regulation module through a data link signal. The integrated information comprehensive management module is used to provide basic logistics management services, the item transportation information collection module is used to collect the item transportation information of the user end, the cloud data real-time transceiver module is used to perform online transceiver of cloud data, the item identification module is used to identify the category and transportation information of logistics items, the classification decision module is used to perform transportation scheduling and pre-allocation of items, the item delivery module is used to receive transportation task information and perform item delivery operations, the information flow security management module is used to monitor and verify the data security of the entire system, and the item transportation planning and recording module is used to track and monitor the ongoing transportation tasks in real time to protect transportation safety.

[0008] Preferably, the integrated information comprehensive management module includes a terminal data retrieval unit and a data set division unit, the terminal data retrieval unit includes an information transceiver, a point recorder, an item information input device and a monitoring unit, and the data set division unit is used to divide the item data information blocks.

[0009] Preferably, the item transportation information collection module includes a terminal information verification unit, an item category database and an instruction generation terminal. The item category database is used to record and register item category information and upload customer logistics transportation task information. The instruction generation terminal is used to generate corresponding logistics transportation dispatch information and transmit it to the cloud data real-time transceiver module for online display.

[0010] Preferably, the cloud data real-time transceiver module includes a multi-mode processing terminal and a data sending unit, the multi-mode processing terminal includes an item recording unit, a recording information storage unit, a dynamic video transmission unit, and a location upload unit, the item recording unit, the recording information storage unit, the dynamic video transmission unit, and the location upload unit are all connected to the data sending unit via a data link signal, the multi-mode processing terminal is used to perform online item classification and transportation status viewing operations, and the data sending unit is used to transmit information data.

[0011] Preferably, the item identification module includes an item feature information recording server, a special item recording database, an image acquisition unit, a feature extraction unit and an information processor, the item feature information recording server is used to carry out packing records of information of items of different categories, the special item recording database is used to record the item information that has been screened and recorded, the image acquisition unit is used to take photos of item packages, and the feature extraction unit is used to extract external identification code information of item packages.

[0012] Preferably, the classification decision module includes a network connection terminal, a database information extraction unit, an item storage area division comprehensive calculation module and an item recognition rate evaluation unit, the network connection terminal is connected to the database information extraction unit via an Ethernet network, the item storage area division comprehensive calculation module is connected to a data backup terminal via a data link signal, the output end of the item storage area division comprehensive calculation module is connected to the input end of the item recognition rate evaluation unit via a data connection transmission device, the output end of the item recognition rate evaluation unit is connected to a data information sending device, the item storage area division comprehensive calculation module is used to perform calculation and analysis of the item conveying area, the data backup terminal is used to back up and retain logistics transportation data, the item recognition rate evaluation unit is used to evaluate the accuracy of item recognition, and the data information sending device is used to send data.

[0013] Preferably, the article transportation module includes a task information processing unit, a storage area article transportation unit, a transportation point dispatch unit and an information confirmation unit. The task information processing unit is used to convert logistics task information, the storage area article transportation unit is used to analyze the distribution status of conveyors around the transportation point, the transportation point dispatch unit is used to allocate the transportation path of the article, and the information confirmation unit is used to perform secondary confirmation of data information.

[0014] Preferably, the information flow security management module includes a multi-zone information interaction unit, an item information security scanning unit and a data statistics unit. The multi-zone information interaction unit is used for interactive transmission of network data, the item information security scanning unit is used for detecting the security of item transportation data transmission, and the data statistics unit is used to verify data integrity.

[0015] Preferably, the item transportation planning and recording module includes a transportation path integration calculation unit, an item classification guidance storage unit, a historical record data storage module and an item classification management center. The transportation path integration calculation unit is used to locate the transportation unit and control the transportation route trajectory. The item classification guidance storage unit is used to guide the transportation route. The historical record data storage module is used to retain historical data. The output ends of the transportation path integration calculation unit, the item classification guidance storage unit and the historical record data storage module are all connected to the item classification management center via an Ethernet network. The item classification management center is used to manage and control the item information in the entire logistics supply chain.

[0016] The present invention provides an automatic classification system for items in a logistics supply chain. It has the following beneficial effects:

[0017] 1. The present invention can accurately collect item images and extract feature information through the item recognition module, and can realize accurate identification of items in combination with the item feature information recording server and the special item record database, greatly improving the accuracy of classification. The item storage area division comprehensive calculation module in the classification decision module can comprehensively calculate the item storage area based on various information, making the item classification more scientific and reasonable, and improving the efficiency of logistics operations.

[0018] 2. The present invention integrates the information comprehensive management module to cover the terminal data retrieval unit, data set division unit, information transceiver, point recorder, item information input device and monitoring unit, etc., which can comprehensively collect and manage various information of items, and provide strong support for subsequent classification decisions and transportation. The terminal information verification unit and item category database in the item transportation information collection module, as well as the cloud data real-time transceiver module, ensure the accuracy and integrity of the item transportation information.

[0019] 3. The present invention ensures the security of item information during transmission and interaction and reduces the risk of information leakage by setting a multi-region information interaction unit, an item information security scanning unit and a data statistics unit in the information flow security management module. The data backup terminal can back up important data to prevent data loss and improve the reliability of the system.

[0020] 4. The transportation path integration calculation unit in the item transportation planning and recording module can plan the best transportation path for the items, improve transportation efficiency, and reduce transportation costs. The item classification guidance storage unit and the historical record data storage module help to guide and optimize the item classification, and facilitate the query of historical records, providing a decision-making basis for the management of the logistics supply chain. At the same time, the monitoring unit in the present invention can monitor each link such as item information entry and transportation in real time to ensure the smooth progress of the entire logistics process. The item classification management center can centrally manage the entire item classification process, discover and solve problems in a timely manner, and improve the level of logistics management. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a schematic diagram of the overall system architecture of the present invention;

[0022] Figure 2 This is a schematic diagram of the integrated information comprehensive management module architecture of the present invention;

[0023] Figure 3 This is a schematic diagram of the structure of the article transportation information collection module of the present invention;

[0024] Figure 4 This is a schematic diagram of the cloud data real-time transceiver module architecture of the present invention;

[0025] Figure 5 This is a schematic diagram of the structure of the object identification module of the present invention;

[0026] Figure 6 This is a schematic diagram of the classification decision module architecture of the present invention;

[0027] Figure 7 This is a schematic diagram of the article conveying module architecture of the present invention;

[0028] Figure 8 This is a schematic diagram of the information flow security management module architecture of the present invention;

[0029] Fig. 9 This is a schematic diagram of the article transportation planning and recording module architecture of the present invention.

[0030] Among them, 1. Integrated information comprehensive management module; 101. Terminal data retrieval unit; 102. Data set division unit; 103. Information transceiver; 104. Point recorder; 105. Item information input device; 106. Monitoring unit; 2. Item transportation information collection module; 201. Terminal information verification unit; 202. Item category database; 203. Instruction generation terminal; 3. Cloud data real-time transceiver module; 301. Multi-mode processing terminal; 302. Item recording unit; 303. Video recording information storage unit; 304. Dynamic video transmission unit; 305. Location upload unit; 306. Data sending unit; 4. Item identification module; 401. Item feature information recording server; 402. Special item record database; 403. Image acquisition unit; 404. Feature extraction unit; 405. Information processing device; 5. Classification decision module; 501. Network connection terminal; 502. Database information extraction unit; 503. Item storage area division comprehensive calculation module; 504. Data connection transmission equipment; 505. Data backup terminal; 506. Item recognition rate evaluation unit; 507. Data information sending equipment; 6. Item transportation module; 601. Task information processing unit; 602. Storage area item transportation unit; 603. Transportation point dispatch unit; 604. Information confirmation unit; 7. Information flow security management module; 701. Multi-region information interaction unit; 702. Item information security scanning unit; 703. Data statistics unit; 8. Item transportation planning and recording module; 801. Transportation path integration calculation unit; 802. Item classification guidance storage unit; 803. Historical record data storage module; 804. Item classification management center. DETAILED DESCRIPTION

[0031] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0032] Example:

[0033] like Figure 1-9As shown, an embodiment of the present invention provides an automatic classification system for items in a logistics supply chain, including an integrated information comprehensive management module 1 and an item transportation information collection module 2, the integrated information comprehensive management module 1 and the item transportation information collection module 2 are connected through a data link signal, the item transportation information collection module 2 is respectively connected to a cloud data real-time transceiver module 3 and an item identification module 4 through a network, the item identification module 4 is connected to a classification decision module 5 through a data link signal, the output end of the classification decision module 5 is connected to an item transportation module 6 through an Ethernet network, and the output end of the item transportation module 6 is respectively connected to an information flow security management module 7 and an item transportation planning module through a data link signal The recording module 8 and the integrated information comprehensive management module 1 are used to provide basic logistics management services. The article transportation information collection module 2 is used to collect the article transportation information of the user end. The cloud data real-time sending and receiving module 3 is used to perform online sending and receiving of cloud data. The article identification module 4 is used to identify the category and transportation information of logistics articles. The classification decision module 5 is used to perform transportation scheduling and pre-allocation of articles. The article transportation module 6 is used to receive transportation task information and execute article transportation operations. The information flow security management module 7 is used to monitor and verify the data security of the entire system. The article transportation planning and recording module 8 is used to track and monitor the ongoing transportation tasks in real time to protect transportation safety.

[0034] The integrated information comprehensive management module 1 includes a terminal data retrieval unit 101 and a data set division unit 102. The terminal data retrieval unit 101 includes an information transceiver 103, a point recorder 104, an object information input device 105 and a monitoring unit 106. The data set division unit 102 is used to divide the object data information blocks.

[0035] The item transportation information collection module 2 includes a terminal information verification unit 201, an item category database 202 and an instruction generation terminal 203. The item category database 202 is used to record and register item category information and upload customer logistics transportation task information. The instruction generation terminal 203 is used to generate corresponding logistics transportation dispatch information and transmit it to the cloud data real-time transceiver module 3 for online display.

[0036] The cloud data real-time transceiver module 3 includes a multi-mode processing terminal 301 and a data sending unit 306. The multi-mode processing terminal 301 includes an item recording unit 302, a recording information storage unit 303, a dynamic video transmission unit 304, and a location upload unit 305. The item recording unit 302, the recording information storage unit 303, the dynamic video transmission unit 304, and the location upload unit 305 are all connected to the data sending unit 306 via a data link signal. The multi-mode processing terminal 301 is used to perform online item classification and transportation status viewing operations, and the data sending unit 306 is used to transmit information data.

[0037] The item identification module 4 includes an item feature information recording server 401, a special item recording database 402, an image acquisition unit 403, a feature extraction unit 404 and an information processor 405. The item feature information recording server 401 is used to record the packing of information of items of different categories, the special item recording database 402 is used to record the information of items that have been screened and recorded, the image acquisition unit 403 is used to take photos of the item packages, and the feature extraction unit 404 is used to extract the external identification code information of the item packages;

[0038] Specifically, in this embodiment, the object recognition module 4 uses an object feature extraction formula to perform feature extraction, specifically:

[0039] Assume that the feature vector of the object image is F, the image collected by the image acquisition unit is I, and the feature extraction unit uses a deep learning algorithm to extract features. The process can be expressed as:

[0040] F=f(I)

[0041] Where f represents the feature extraction function. The accuracy of feature extraction is improved by continuously training the deep learning model.

[0042] The classification decision module 5 includes a network connection terminal 501, a database information extraction unit 502, an article storage area division comprehensive calculation module 503 and an article recognition rate evaluation unit 506. The network connection terminal 501 is connected to the database information extraction unit 502 via an Ethernet network. The article storage area division comprehensive calculation module 503 is connected to a data backup terminal 505 via a data link signal. The output end of the article storage area division comprehensive calculation module 503 is connected to the input end of the article recognition rate evaluation unit 506 via a data connection transmission device 504. The output end of the article recognition rate evaluation unit 506 is connected to a data information sending device 507. The article storage area division comprehensive calculation module 503 is used to perform calculation and analysis of the article conveying area. The data backup terminal 505 is used to perform backup and retention of logistics transportation data. The article recognition rate evaluation unit 506 is used to evaluate the accuracy of article recognition. The data information sending device 507 is used to send data.

[0043] Specifically, in the above-mentioned object recognition rate evaluation unit, the object recognition accuracy rate can be calculated by the following formula. Assuming that the total number of recognized objects is N, the number of correctly recognized objects is n, the object recognition accuracy rate A can be expressed as:

[0044]

[0045] In this embodiment, the records in the special item record database can be used to verify the recognition accuracy and continuously optimize the recognition algorithm.

[0046] Furthermore, the comprehensive calculation formula for item storage area division is as follows:

[0047] Considering factors such as the volume V, weight W, and category attribute C of the item, let the comprehensive index of storage area division be S, which can be calculated by the following formula:

[0048] S=aV+bW+cC

[0049] Where a, b, and c are weight coefficients, which can be adjusted according to actual conditions. The S value calculated by this formula can be used to determine the best storage area for items.

[0050] At the same time, in this embodiment, the following conditions can be preset for the evaluation of the object recognition rate:

[0051] Assume that the expected recognition rate is R e The actual recognition rate is R a , the recognition rate deviation D can be expressed as

[0052] D=|R e -R a |

[0053] When the D value exceeds a certain threshold, the system's optimization mechanism is triggered to adjust and improve the object recognition module.

[0054] The article transportation module 6 includes a task information processing unit 601, a storage area article transportation unit 602, a transportation point dispatch unit 603 and an information confirmation unit 604. The task information processing unit 601 is used to convert logistics task information, the storage area article transportation unit 602 is used to analyze the distribution status of conveyors around the transportation point, the transportation point dispatch unit 603 is used to allocate the transportation path of the article, and the information confirmation unit 604 is used to perform secondary confirmation of data information.

[0055] In the process of transport path planning, this embodiment mainly presets the following conditions: the distance between transport points is d, the urgency of the item is E, and the comprehensive evaluation index of the transport path is P, which can be calculated by the following formula:

[0056] P = kd -1 +lE

[0057] Where k and l are weight coefficients. The transport point dispatch unit allocates the transportation path of the items according to the principle of minimum P value to achieve efficient item transportation.

[0058] The information flow security management module 7 includes a multi-zone information interaction unit 701, an item information security scanning unit 702 and a data statistics unit 703. The multi-zone information interaction unit 701 is used for interactive transmission of network data, the item information security scanning unit 702 is used for detecting the security of item transportation data transmission, and the data statistics unit 703 is used to verify data integrity.

[0059] The item transportation planning and recording module 8 includes a transportation path integrated calculation unit 801, an item classification guidance storage unit 802, a historical record data storage module 803 and an item classification management center 804. The transportation path integrated calculation unit 801 is used to locate the transportation unit and control the transportation route trajectory. The item classification guidance storage unit 802 is used to guide the transportation route. The historical record data storage module 803 is used to retain historical data. The output ends of the transportation path integrated calculation unit 801, the item classification guidance storage unit 802 and the historical record data storage module 803 are all connected to the item classification management center 804 via an Ethernet network. The item classification management center 804 is used to manage and control the item information in the entire logistics supply chain.

[0060] Specifically, in this module, the integrated calculation of the transport path has the following preset conditions:

[0061] Assume the transport unit position coordinates are (x, y) and the target position coordinates are:

[0062] (x0, y0), the transportation speed is v, and the transportation time is t, then the transportation path can be expressed as:

[0063]

[0064] The transport path integrated calculation unit 801 locates the transport unit and controls the transport route trajectory according to these formulas.

[0065] The classification and storage calculation method for items:

[0066] Suppose the category attribute of the item is C and the category attribute of the storage area is C r , when C=C r When the items are stored in the corresponding storage area, the items are guided to be stored in the corresponding storage area. The item classification guidance storage unit guides the transportation route according to this principle to ensure that the items are accurately stored in the corresponding area. By introducing the above formula, the accurate identification, transportation and path planning capabilities of the automatic classification system of the logistics supply chain can be further improved, and the logistics efficiency and accuracy can be improved.

[0067] Furthermore, in the actual operation process of this system, the specific operation process includes the following:

[0068] 1. Information input and collection: The item information input device 105 inputs the item information into the system, and the location recorder 104 records the location information of the item. The monitoring unit 106 monitors the entire process.

[0069] The terminal data retrieving unit 101 can retrieve relevant data from an external terminal, and the data set dividing unit 102 divides and organizes the collected data. The information transceiver 103 is responsible for information exchange with other modules.

[0070] 2. Collection of Article Transportation Information: The terminal information verification unit 201 verifies the terminal information of article transportation to ensure the accuracy of the information.

[0071] The item category database 202 provides reference data of item categories, and the instruction generation terminal 203 generates corresponding instructions according to the verified information and database data.

[0072] 3. Cloud data interaction: The multi-mode processing terminal 301 processes the data in multiple modes, the item recording unit 302 records the item information, and the video recording information storage unit 303 stores the video recording related information.

[0073] The dynamic video transmission unit 304 transmits the dynamic video of the object to the corresponding position, the location uploading unit 305 uploads the location information of the object, and the data sending unit 306 sends out the processed information.

[0074] 4. Item identification: The image acquisition unit 403 acquires item images, the feature extraction unit 404 extracts item feature information, the information processor 405 processes the feature information, the item feature information recording server 401 records the item feature information, and the special item recording database 402 stores the information of special items.

[0075] 5. Classification decision: The network connection terminal 501 connects to the network to obtain data, the database information extraction unit 502 extracts relevant information from the database, the item storage area division comprehensive calculation module 503 comprehensively calculates the storage area of ​​the items based on various information, the data connection transmission device 504 transmits data, the data backup terminal 505 backs up important data, the item recognition rate evaluation unit 506 evaluates the accuracy of item recognition, and the data information sending device 507 sends the decision result.

[0076] 6. Article transportation: The task information processing unit 601 processes the article transportation task information, the storage area article transportation unit 602 is responsible for transporting the articles to the corresponding storage area, the transportation point dispatching unit 603 dispatches the transportation points for transportation, and the information confirmation unit 604 confirms the article transportation information.

[0077] 7. Information flow security management: The multi-region information interaction unit 701 realizes multi-region information interaction, the item information security scanning unit 702 performs security scanning on item information, and the data statistics unit 703 performs statistics on information flow related data.

[0078] 8. Article transportation planning records: The transportation path integration calculation unit 801 calculates the transportation path of the article, the article classification guidance storage unit 802 guides the classification storage of the article, the historical record data storage module 803 stores the historical records of article transportation, and the article classification management center 804 manages the entire article classification process.

[0079] The architecture of the entire system is simple, and the functions of each module are evenly distributed, which has a good application effect on the automatic identification, classification, and transportation management of items in the supply chain.

[0080] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An automatic classification system for articles in a logistics supply chain, comprising an integrated information comprehensive management module (1) and an article transportation information collection module (2), characterized in that: The integrated information comprehensive management module (1) is connected to the article transportation information collection module (2) through a data link signal. The article transportation information collection module (2) is respectively connected to a cloud data real-time transceiver module (3) and an article identification module (4) through a network. The article identification module (4) is connected to a classification decision module (5) through a data link signal. The output end of the classification decision module (5) is connected to an article transportation module (6) through an Ethernet network. The output end of the article transportation module (6) is respectively connected to an information flow security management module (7) and an article transportation planning and recording module (8) through a data link signal. The integrated information comprehensive management module (1) is used to provide a basic The invention provides a logistics management service based on the present invention, wherein the article transportation information collection module (2) is used to collect the article transportation information of the user end, the cloud data real-time transceiver module (3) is used to perform online transceiver and transceiver of cloud data, the article identification module (4) is used to identify the category and transportation information of logistics articles, the classification decision module (5) is used to perform transportation scheduling and pre-allocation of articles, the article delivery module (6) is used to receive transportation task information and execute article delivery operations, the information flow security management module (7) is used to monitor and verify the data security of the entire system, and the article transportation planning and recording module (8) is used to perform real-time tracking and monitoring of ongoing transportation tasks to protect transportation safety.

2. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The integrated information comprehensive management module (1) comprises a terminal data retrieval unit (101) and a data set division unit (102); the terminal data retrieval unit (101) comprises an information transceiver (103), a point recorder (104), an item information input device (105) and a monitoring unit (106); the data set division unit (102) is used to divide item data information blocks.

3. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The article transportation information collection module (2) comprises a terminal information verification unit (201), an article category database (202) and an instruction generation terminal (203). The article category database (202) is used to record and register article category information and upload customer logistics transportation task information. The instruction generation terminal (203) is used to generate corresponding logistics transportation dispatch information and transmit it to the cloud data real-time transceiver module (3) for online display.

4. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The cloud data real-time transceiver module (3) comprises a multi-mode processing terminal (301) and a data transmission unit (306); the multi-mode processing terminal (301) comprises an item recording unit (302), a recording information storage unit (303), a dynamic video transmission unit (304), and a location upload unit (305); the item recording unit (302), the recording information storage unit (303), the dynamic video transmission unit (304), and the location upload unit (305) are all connected to the data transmission unit (306) via a data link signal; the multi-mode processing terminal (301) is used to perform an online item classification and transportation status viewing operation; and the data transmission unit (306) is used to transmit information data.

5. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The article identification module (4) comprises an article feature information recording server (401), a special article record database (402), an image acquisition unit (403), a feature extraction unit (404) and an information processor (405), wherein the article feature information recording server (401) is used to record the packing of information of articles of different categories, the special article record database (402) is used to record the information of articles that have been screened and recorded, the image acquisition unit (403) is used to take photos of article packages, and the feature extraction unit (404) is used to extract external identification code information of the article packages.

6. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The classification decision module (5) comprises a network connection terminal (501), a database information extraction unit (502), an article storage area division comprehensive calculation module (503) and an article recognition rate evaluation unit (506), wherein the network connection terminal (501) is connected to the database information extraction unit (502) via an Ethernet network, the article storage area division comprehensive calculation module (503) is connected to a data backup terminal (505) via a data link signal, the output end of the article storage area division comprehensive calculation module (503) is connected to the input end of the article recognition rate evaluation unit (506) via a data connection transmission device (504), the output end of the article recognition rate evaluation unit (506) is connected to a data information sending device (507), the article storage area division comprehensive calculation module (503) is used to perform calculation and analysis of article conveying areas, the data backup terminal (505) is used to perform backup and storage of logistics transportation data, the article recognition rate evaluation unit (506) is used to evaluate the accuracy of article recognition, and the data information sending device (507) is used to send data.

7. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The article transport module (6) comprises a task information processing unit (601), a storage area article transport unit (602), a transport point dispatch unit (603) and an information confirmation unit (604), wherein the task information processing unit (601) is used to convert logistics task information, the storage area article transport unit (602) is used to analyze the distribution status of conveyors around the transport point, the transport point dispatch unit (603) is used to allocate the transport path of the article, and the information confirmation unit (604) is used to perform secondary confirmation of data information.

8. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The information flow security management module (7) comprises a multi-region information interaction unit (701), an item information security scanning unit (702) and a data statistics unit (703), wherein the multi-region information interaction unit (701) is used for interactive transmission of network data, the item information security scanning unit (702) is used for detecting the security of item transportation data transmission, and the data statistics unit (703) is used for verifying data integrity.

9. The automatic classification system for items in a logistics supply chain according to claim 1 is characterized by: The article transportation planning and recording module (8) comprises a transportation path integration calculation unit (801), an article classification guidance storage unit (802), a historical record data storage module (803) and an article classification management center (804), wherein the transportation path integration calculation unit (801) is used to locate the transportation unit and control the transportation route trajectory, the article classification guidance storage unit (802) is used to guide the transportation route, and the historical record data storage module (803) is used to retain historical data. The output ends of the transportation path integration calculation unit (801), the article classification guidance storage unit (802) and the historical record data storage module (803) are all connected to the article classification management center (804) via an Ethernet network, and the article classification management center (804) is used to manage and control the article information in the entire logistics supply chain.

Images