Online e-commerce intelligent distribution system based on Internet of Things

Abstract

The invention discloses an online e-commerce intelligent distribution system based on the Internet of Things, belongs to the technical field of warehouse logistics, and aims to solve the problems that existing warehouse distribution mainly depends on manual distribution, and the commodity distribution efficiency is affected; and the problem that the commodity receiving time and the return rate of the user are affected by wrong commodity distribution due to classification errors when the distributed commodities are transferred and classified and sent by manually operating a machine is solved. According to the invention, the online distribution platform is utilized to formulate order distribution time and plan a plan to drive the intelligent industrial control unit to operate the storage distribution unit to carry out automatic distribution transfer, and the transfer delivery unit is in butt joint with logistics to carry out sending, so that intelligent operation of commodity distribution is realized; a scanning verification unit of the delivery unit is used for identifying and distinguishing the information of the allocated commodities, the commodities with wrong allocation are sorted out, an alarm is given to the online allocation platform in time, and the online allocation platform stops handover of the commodities with wrong allocation in time based on an emergency allocation module and corrects and sends the commodities with wrong allocation; according to the invention, intelligent automation of e-commerce commodities is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of warehousing and logistics, and in particular to an online e-commerce intelligent distribution system based on the Internet of Things. Background Art

[0002] E-commerce, or e-commerce for short, refers to trading activities and related service activities conducted in the form of electronic transactions on the Internet, intranets and value-added networks, making all aspects of traditional business activities electronic and networked. E-commerce includes electronic currency exchange, supply chain management, electronic trading markets, network marketing, online transaction processing, electronic data exchange, inventory management and automatic data collection systems. An important part of e-commerce is warehousing and distribution. The warehousing and distribution link is an important part of modern logistics, plays a vital role in the logistics system, and is the focus of manufacturers' research and planning. Scientific, efficient and reasonable warehousing and distribution can help manufacturers speed up the flow of materials, reduce costs, ensure material quality, ensure the smooth progress of production, and achieve effective control and management of resources.

[0003] However, the current warehousing and distribution system generally relies on a non-automated, paper-based system, with people and vehicles moving in and out of the warehouse to implement distribution operations. This results in low labor efficiency and affects the timely and rapid delivery of goods. Moreover, the delivery and classification of goods is easily misclassified by manually operated machines, which may result in the delivery of goods to the wrong destination, affecting the time it takes for users to receive the goods in a timely manner, thereby causing dissatisfaction among users and reducing customer return rates.

[0004] Therefore, we launched an online e-commerce intelligent distribution system based on the Internet of Things. Summary of the invention

[0005] The purpose of the present invention is to provide an online e-commerce intelligent distribution system based on the Internet of Things, aiming to solve the problem in the above-mentioned background technology that the existing warehousing distribution mainly relies on manual distribution, which affects the efficiency of commodity distribution, and the classification errors occur when the manually operated machines transfer and classify the distributed goods, resulting in the wrong distribution of goods, affecting the time for users to receive the goods and the return rate.

[0006] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: an online e-commerce intelligent distribution system based on the Internet of Things, comprising an online distribution platform for merchants to allocate goods and an order receiving port electrically connected to the online distribution platform, the order receiving port being used to receive online commodity orders issued by users, the online distribution platform being remotely connected to an intelligent industrial control unit arranged in a commodity warehouse via the Internet, the intelligent industrial control unit being connected to and driving a storage distribution unit by signal, the storage distribution unit being used to directly distribute and transfer the ordered commodities in the warehouse to the shipping unit, and the shipping unit being used to connect the distributed commodities to the logistics for sending, and the shipping unit being remotely connected to the online distribution platform via the Internet;

[0007] The online distribution platform includes a cloud computing processor for operation processing and an order generation module electrically connected to the cloud computing processor. The order generation module is used to convert and generate order information displayed to users. The cloud computing processor is electrically connected to an order distribution time planning module, an order tracking and statistics module, a timeout alarm module and an emergency distribution module in sequence. The order distribution time planning module is used to plan the distribution time of corresponding commodities according to the received order information; the order tracking and statistics module is used to track and count the total number of received orders and the number of orders completed by distribution in real time; the timeout alarm module is used to alarm the orders that are about to time out but have not been distributed and sent. Early alarm reminder; the emergency distribution module is used to directly use the intelligent industrial control unit to control the shipping unit to execute the corresponding order distribution operation when a distribution accident occurs, and the cloud computing processor is also electrically connected to the matching module, retrieval module, cloud database and wireless module in sequence. The matching module is used to pair and bind the distribution vehicle equipment and distribution route in the warehouse distribution unit according to the distribution time plan of the order; the retrieval module is used to quickly retrieve and query related order information according to the product name; the cloud database is used to store data information on the online distribution records of the order products; and the wireless module is used for remote online connection between the cloud computing processor, the intelligent industrial control unit and the shipping unit.

[0008] Furthermore, the cloud computing processor is also electrically connected to a distribution log module, which is used to organize data on the distribution and delivery of ordered goods and generate a summary report. The distribution log module includes a weekly distribution report module for recording the distribution and delivery data of goods within a week, and a monthly distribution report module for recording the distribution and delivery data of goods within a month. The distribution log module is also provided with a cloud data analysis module and an optimization report module. The cloud data analysis module is used to analyze and study the weekly and monthly distribution reports of goods based on cloud data, and explore distribution methods that can improve distribution efficiency; and the optimization report module is used to generate distribution efficiency display results for goods and make optimization improvement suggestions on distribution methods.

[0009] Furthermore, the online distribution platform's distribution execution method is as follows:

[0010] S1: The order generation module receives the order data placed by the converted user and transmits it to the cloud computing processor. The cloud computing processor drives the order distribution time planning module to formulate a distribution delivery time plan based on the order data;

[0011] S2: The matching module matches the order delivery with the delivery vehicle equipment and delivery route in the warehouse distribution unit based on the order distribution time planning, and the special vehicle transfers the warehouse goods out of the warehouse at the specified time;

[0012] S3: The cloud computing processor remotely connects to the intelligent industrial control unit based on the wireless module, and sends the distribution time plan and the goods and route plan paired with the numbered delivery vehicle equipment to the intelligent industrial control unit;

[0013] S4: The intelligent industrial control unit controls the distribution equipment in the storage and distribution unit according to the distribution time plan, transfers the target goods out of the warehouse within the planned time, and delivers them to the shipping unit after they arrive at the destination. The shipping unit then takes over the logistics and ships the goods to complete the order.

[0014] S5: The order tracking and statistics module updates the order completion data in real time, and the timeout alarm module reminds in real time the orders that are not delivered and shipped in time due to the timeout.

[0015] Furthermore, the warehousing and distribution unit includes an order printing module for printing and displaying order information and a waybill attaching unit for commodity distribution and delivery. The warehousing and distribution unit is sequentially provided with a scanning and identification module for scanning and identifying commodities, a rail lifting and transfer unit for lifting and parallel movement to transfer ordered commodities on the shelf, and an intelligent shuttle vehicle for receiving ordered commodities for zoned and fixed-point transportation; the warehousing and distribution unit is also sequentially provided with a warehousing entry and exit recording module and a warehousing monitoring unit. The warehousing entry and exit recording module is used to record the import and output data of commodities in the warehouse in real time; and the warehousing monitoring unit is used to remotely monitor the storage status of commodities in the warehouse in real time.

[0016] Furthermore, the shipping unit includes a shipping receiving and comparing module for comparing and confirming the goods to be delivered and a regional classification and stacking unit for classifying and stacking the goods according to the delivery destination area. The shipping unit is provided with a scanning and verifying unit, an error commodity transfer unit and a commodity temporary storage module in sequence. The scanning and verifying unit is used to scan the goods to verify their attribute information and the distribution and delivery area; the error commodity transfer unit is used to transfer the goods from the stacked goods for separate display when the scanning and verifying unit scans out the goods with classification matching errors; and the commodity temporary storage module is used to temporarily support the goods with classification matching errors for processing.

[0017] Furthermore, the shipping unit is provided with an upload alarm module, a shipping monitoring module and a logistics docking and sending unit in sequence. The upload alarm module is used to collect information after the goods with classification matching errors are detected, upload and send it to the online distribution platform and perform alarm processing; the shipping monitoring module is used to remotely monitor the situation of the distribution and shipping site in real time; and the logistics docking and sending unit is used to confirm that the goods are correct and then hand them over to the logistics for delivery.

[0018] Furthermore, the scanning and verification unit includes a barcode recognition module and a weight verification module. The barcode recognition module identifies the name, specification attribute information by scanning the barcode of the product, and compares and verifies it with the pre-received distribution and delivery product information; the weight verification module is used to weigh and verify the weight information of the product; and the scanning and verification unit is provided with a packaging verification module for scanning and verifying the integrity of the product and packaging, and a waybill scanning module for confirming and verifying the product delivery area.

[0019] Furthermore, the distribution operation process of the shipping unit is as follows:

[0020] S100: After the goods are sent to the designated location according to the delivery province, the delivery and reception comparison module compares and confirms the delivered goods according to the pre-received delivery goods plan;

[0021] S200: After the product is confirmed, the regional classification and stacking unit automatically distinguishes and stacks the products according to the shipping area, completes the stacking of the products, and the scanning and verification unit scans and verifies the products and the shipping bill to confirm the correctness of the product delivery name and the classification and delivery area;

[0022] S300: The products that have passed the scanning and verification are kept in place, and the products that are classified incorrectly are transferred and extracted by the error product transfer unit and transferred to the product temporary storage module nearby for storage, and the upload alarm module wirelessly transmits the error product data through the Internet;

[0023] S400: After receiving the product error alarm data, the cloud computing processor immediately activates the emergency distribution module authority. The emergency distribution module directly uses the intelligent industrial control unit to control the spare intelligent shuttle vehicle to drive to the temporary storage of the error product, and accurately extracts the product according to the uploaded feedback data and re-delivers it to the correct area;

[0024] S500: After the goods are confirmed, the logistics docking sending unit docks with the logistics, and all the goods are delivered, loaded and sent out to complete the order.

[0025] Furthermore, the upload alarm module includes a product recording module and a product positioning module. The product recording module is used to scan, identify and record the name, specifications and sending area information of the erroneous product; and the product positioning module is used to record the positioning data of the erroneous product in the temporary storage area; and the upload alarm module is also provided with a data uploading module that records the erroneous product information and stores the positioning data and uploads it to the online distribution platform.

[0026] Furthermore, the operation process of uploading the alarm module is as follows:

[0027] S310: After the scanning and verification unit detects the wrong product, the product recording module records the name and specification information of the product in real time, and sends the correct area information;

[0028] S320: The product positioning module records the positioning data in real time according to the placement position of the error product in the product temporary storage module, and locates and tracks the positioning data of the error product;

[0029] S330: The data upload module uploads the recorded erroneous product information and product placement data to the online distribution platform via the Internet and issues an alarm, prompting corrections and timely delivery of the erroneous products.

[0030] Compared with the prior art, the present invention has the following beneficial effects:

[0031] 1. The present invention proposes an online e-commerce intelligent distribution system based on the Internet of Things. The order generation module receives the order data placed by the converted user and transmits it to the cloud computing processor. The cloud computing processor drives the order distribution time planning module to formulate the distribution delivery time plan according to the order data. The matching module matches the order delivery with the numbered delivery vehicle equipment and the distribution route in the warehouse distribution unit based on the order distribution time plan. The special vehicle transfers the warehouse goods out of the warehouse at the specified time. The cloud computing processor remotely connects to the intelligent industrial control unit based on the wireless module, and sends the goods and route planning matched with the distribution time plan and the numbered delivery vehicle equipment to the intelligent industrial control unit. The intelligent industrial control unit The distribution equipment in the storage and distribution unit is controlled according to the distribution time plan. The target goods are transferred out of the warehouse within the planned time and handed over to the shipping unit after being delivered to the destination. The shipping unit hands over the logistics to complete the order. The order tracking and statistical module updates the completion data of the statistical order in real time. The timeout alarm module urges and reminds in real time the orders that are not delivered and shipped in time due to the distribution timeout. The order distribution time plan is planned through the online distribution platform, and the intelligent industrial control unit is used to remotely control the storage and distribution unit to automatically and regularly transfer and transport the stored goods, and the goods are handed over to the shipping unit for delivery to the logistics for distribution and delivery, realizing the automated operation of e-commerce intelligent distribution, freeing up manual labor and improving distribution efficiency.

[0032] 2. The present invention proposes an online e-commerce intelligent distribution system based on the Internet of Things. After the goods are sent to the designated location according to the delivery province, the delivery receiving comparison module compares and confirms the delivered goods according to the pre-received delivery plan. After the goods are confirmed, the regional classification and stacking unit automatically distinguishes and stacks the goods according to the delivery area, completes the stacking and sorting of the goods, and the scanning and verification unit scans and verifies the goods and the delivery bill to confirm the correctness of the delivery name and the classification and delivery area of ​​the goods. The goods that have passed the scanning and verification are retained in place, and the wrongly classified goods are transferred and extracted by the wrong goods transfer unit, and transferred to the goods temporary storage module next to it for storage. The upload alarm module transmits the alarm wirelessly via the Internet. The data of the erroneous goods is transmitted. After the cloud computing processor receives the alarm data of the error of the goods, it immediately starts the emergency distribution module authority. The emergency distribution module directly uses the intelligent industrial control unit to control the spare intelligent shuttle vehicle to drive to the temporary storage of the erroneous goods, and accurately extracts the goods according to the uploaded feedback data and puts them in the correct area again. After the goods are confirmed, the logistics docking sending unit is connected with the logistics, and all the goods are delivered and loaded and sent out to complete the order. The scanning and verification unit can accurately identify the incoming and outgoing goods, effectively stop the erroneous goods from being distributed and sent in time, and conduct emergency sorting and adjustment in time to avoid sending them to the wrong place with the logistics, thereby affecting the user's receipt time and return rate. It is convenient and practical.

[0033] 3. The present invention proposes an online e-commerce intelligent distribution system based on the Internet of Things. After the scanning and verification unit detects the erroneous product, the product recording module records the name and specification information of the product in real time, and sends the correct area information. The product positioning module records the positioning data in real time according to the placement of the erroneous product in the product temporary storage module, locates and tracks the positioning data of the erroneous product, and the data uploading module uploads the recorded erroneous product information and product placement positioning data to the online distribution platform through the Internet and issues an alarm to remind corrections and timely distribution and delivery of the erroneous product. By extracting and feeding back the erroneous product name, specification and temporary storage location positioning data, the online distribution platform can respond promptly and quickly to command the intelligent industrial control unit to control the storage distribution unit to perform regional delivery correction, thereby enhancing the precise regulation effect of the online distribution platform on the distribution of erroneous products. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is the overall architecture diagram of the present invention;

[0035] Figure 2 This is the architecture diagram of the online distribution platform of the present invention;

[0036] Figure 3 This is a diagram of the architecture of the distribution log module of the present invention;

[0037] Figure 4It is a flow chart of the cargo distribution operation of the online cargo distribution platform of the present invention;

[0038] Figure 5 This is a structural diagram of the warehousing and distribution unit of the present invention;

[0039] Figure 6 This is a diagram of the shipping unit architecture of the present invention;

[0040] Figure 7 This is a schematic diagram of the scanning and verification unit structure of the present invention;

[0041] Figure 8 This is a flow chart of the cargo distribution operation of the shipping unit of the present invention;

[0042] Fig. 9 This is the architecture diagram of the upload alarm module of the present invention;

[0043] Fig.10 This is an operation flow chart of the upload alarm module of the present invention.

[0044] In the figure: 1. Online distribution platform; 11. Cloud computing processor; 12. Order generation module; 13. Order distribution time planning module; 14. Order tracking and statistics module; 15. Timeout alarm module; 16. Emergency distribution module; 17. Matching module; 18. Retrieval module; 19. Cloud database; 110. Wireless module; 111. Distribution log module; 1111. Distribution weekly report module; 1112. Distribution monthly report module; 1113. Cloud data analysis module; 1114. Optimization report module; 2. Order receiving port; 3. Intelligent industrial control unit; 4. Warehousing distribution unit; 41. Order printing module; 42. Label attachment unit; 43. Scanning module Scanning and recognition module; 44. Track lifting and transfer unit; 45. Intelligent shuttle; 46. Warehouse entry and exit record module; 47. Warehouse monitoring unit; 5. Shipping unit; 51. Shipping and receiving comparison module; 52. Regional classification and stacking unit; 53. Scanning and verification unit; 531. Barcode recognition module; 532. Weight verification module; 533. Packaging verification module; 534. Delivery list scanning module; 54. Error product transfer unit; 55. Product temporary storage module; 56. Upload alarm module; 561. Product recording module; 562. Product positioning module; 563. Data upload module; 57. Shipping monitoring module; 58. Logistics docking and sending unit. DETAILED DESCRIPTION

[0045] 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.

[0046] In order to solve the problem that the existing warehousing and distribution mainly rely on manual operation and distribution, which affects the efficiency of commodity distribution, please refer to Figure 1-Figure 5 , provide the following preferred technical solutions:

[0047] An online e-commerce intelligent distribution system based on the Internet of Things includes an online distribution platform 1 for merchants to distribute goods and an order receiving port 2 electrically connected to the online distribution platform 1, the order receiving port 2 is used to receive online commodity orders issued by users, the online distribution platform 1 is remotely connected to an intelligent industrial control unit 3 set in a commodity warehouse through the Internet, the intelligent industrial control unit 3 is connected to and drives a warehousing distribution unit 4 by signal, the warehousing distribution unit 4 is used to directly distribute and transfer the ordered commodities in the warehouse to the shipping unit 5, and the shipping unit 5 is used to connect the distributed commodities to the logistics for sending, and the shipping unit 5 is remotely connected to the online distribution platform 1 through the Internet.

[0048] The online distribution platform 1 includes a cloud computing processor 11 for operation processing and an order generation module 12 electrically connected to the cloud computing processor 11. The order generation module 12 is used to convert and generate order information for display to users. The cloud computing processor 11 is electrically connected to an order distribution time planning module 13, an order tracking and statistics module 14, a timeout alarm module 15 and an emergency distribution module 16 in sequence. The order distribution time planning module 13 is used to plan the distribution time of the corresponding goods according to the received order information; the order tracking and statistics module 14 is used to track and count the total number of orders received and the number of orders completed by distribution in real time; the timeout alarm module 15 is used to advance the order that is about to time out and has not been distributed and sent. Alarm reminder; the emergency distribution module 16 is used to directly use the intelligent industrial control unit 3 to control the shipping unit 5 to perform corresponding order distribution operations when a distribution accident occurs, and the cloud computing processor 11 is also electrically connected to the matching module 17, the retrieval module 18, the cloud database 19 and the wireless module 110 in sequence. The matching module 17 is used to pair and bind the distribution vehicle equipment and the distribution route in the warehouse distribution unit 4 according to the distribution time plan of the order; the retrieval module 18 is used to quickly retrieve and query related order information according to the product name; the cloud database 19 is used to store data information on the online distribution records of the order products; and the wireless module 110 is used for remote online connection between the cloud computing processor 11 and the intelligent industrial control unit 3 and the shipping unit 5.

[0049] The cloud computing processor 11 is also electrically connected to a distribution log module 111. The distribution log module 111 is used to organize data on the distribution and delivery of ordered goods and generate a summary report. The distribution log module 111 includes a weekly distribution report module 1111 for recording the distribution and delivery data of goods within a week, and a monthly distribution report module 1112 for recording the distribution and delivery data of goods within a month. The distribution log module 111 is also provided with a cloud data analysis module 1113 and an optimization report module 1114. The cloud data analysis module 1113 is used to analyze and study the weekly and monthly distribution reports of goods based on cloud data, and explore distribution methods that can improve distribution efficiency; and the optimization report module 1114 is used to generate distribution efficiency display results for goods and make optimization and improvement suggestions on distribution methods.

[0050] The warehousing and distribution unit 4 includes an order printing module 41 for printing and displaying order information and a waybill attaching unit 42 for goods distribution and delivery. The warehousing and distribution unit 4 is provided with a scanning and identification module 43 for scanning and identifying goods, a track lifting and transfer unit 44 for lifting and parallel movement to transfer the ordered goods on the shelf, and an intelligent shuttle vehicle 45 for receiving the ordered goods for zoned and fixed-point transportation. The warehousing and distribution unit 4 is also provided with a warehousing entry and exit recording module 46 and a warehousing monitoring unit 47 in sequence. The warehousing entry and exit recording module 46 is used to record the import and output data of the goods in the warehouse in real time; and the warehousing monitoring unit 47 is used to remotely monitor the storage status of the goods in the warehouse in real time.

[0051] Specifically, the order generation module 12 receives the order data placed by the converted user and transmits it to the cloud computing processor 11. The cloud computing processor 11 drives the order distribution time planning module 13 to formulate the distribution delivery time plan based on the order data. The matching module 17 matches the order delivery with the numbered delivery vehicle equipment and the delivery route in the warehouse distribution unit 4 based on the order distribution time plan. The special vehicle transfers the warehouse goods out of the warehouse at the specified time. The cloud computing processor 11 remotely connects to the intelligent industrial control unit 3 based on the wireless module 110, and sends the goods and route planning matched with the distribution time plan and the numbered delivery vehicle equipment to the intelligent industrial control unit 3. The intelligent industrial control unit 3 follows the distribution time plan. Control the distribution equipment in the warehousing and distribution unit 4, transfer the target goods out of the warehouse within the planned time, and hand them over to the shipping unit 5 after delivering them to the destination. The shipping unit 5 takes over the logistics to complete the order. The order tracking and statistical module 14 updates the completion data of the statistical order in real time. The timeout alarm module 15 urges and reminds in real time the orders that are not delivered and shipped in time due to the timeout of distribution. The online distribution platform 1 plans the order distribution time planning and cooperates with the intelligent industrial control unit 3 to remotely control the warehousing and distribution unit 4 to automatically and regularly transfer and transport the stored goods, and hands them over to the shipping unit 5 for delivery to the logistics for distribution and delivery, thereby realizing the automated operation of e-commerce intelligent distribution, liberating manual labor, and improving distribution efficiency.

[0052] In order to solve the problem of classification errors when manually operating machines to transfer and classify the delivered goods, resulting in incorrect delivery of goods, affecting the time it takes for users to receive goods and the return rate, please refer to Figure 1-Figure 2 and Figure 6-Figure 8 As shown, the following preferred technical solutions are provided:

[0053] The shipping unit 5 includes a shipping receiving and comparing module 51 for comparing and confirming the goods to be delivered, and a regional classification and stacking unit 52 for classifying and stacking the goods according to the delivery destination area. The shipping unit 5 is provided with a scanning and verifying unit 53, an erroneous goods transferring unit 54 and a goods temporary storage module 55 in sequence. The scanning and verifying unit 53 is used to scan and verify the attribute information and the distribution and delivery area of ​​the goods; the erroneous goods transferring unit 54 is used to transfer the goods from the stacked goods for separate display when the scanning and verifying unit 53 scans out the goods with classification matching errors; and the goods temporary storage module 55 is used to temporarily support the goods with classification matching errors for processing.

[0054] The shipping unit 5 is also provided with an upload alarm module 56, a shipping monitoring module 57 and a logistics docking and sending unit 58 in sequence. The upload alarm module 56 is used to collect information of goods detected with classification matching errors, upload and send it to the online distribution platform 1 and perform alarm processing; the shipping monitoring module 57 is used to remotely monitor the situation of the distribution and shipping site in real time; and the logistics docking and sending unit 58 is used to confirm that the goods are correct and then hand them over to the logistics for delivery.

[0055] The scanning and verification unit 53 includes a barcode recognition module 531 and a weight verification module 532. The barcode recognition module 531 identifies the name, specification and attribute information of the product by scanning the barcode of the product, and compares and verifies it with the pre-received distribution and delivery product information; the weight verification module 532 is used to weigh and verify the weight information of the product; and the scanning and verification unit 53 is provided with a packaging verification module 533 for scanning and verifying the integrity of the product and packaging, and a waybill scanning module 534 for confirming and verifying the product delivery area.

[0056] The upload alarm module 56 includes a product recording module 561 and a product positioning module 562. The product recording module 561 is used to scan, identify and record the name, specifications and shipping area information of the erroneous product; and the product positioning module 562 is used to record the positioning data of the erroneous product in the temporary storage area; and the upload alarm module 56 is also provided with a data uploading module 563 that records the erroneous product information and stores the positioning data and uploads it to the online distribution platform 1.

[0057] Specifically, after the goods are sent to the designated location according to the delivery province, the delivery receiving comparison module 51 compares and confirms the delivered goods according to the pre-received delivery plan. After the goods are confirmed, the regional classification and stacking unit 52 automatically distinguishes and stacks the goods according to the delivery area, completes the stacking and sorting of the goods, and the scanning and verification unit 53 scans and verifies the goods and the delivery bill to confirm the correctness of the delivery name and the classification and delivery area of ​​the goods. The goods that have passed the scanning and verification are retained in place, and the wrongly classified goods are transferred and extracted by the wrong goods transfer unit 54 and transferred to the goods temporary storage module 55 on the side for storage. The upload alarm module 56 uploads the wrong goods data through wireless transmission on the Internet, and the cloud computing processing After receiving the product error alarm data, the processor 11 immediately starts the emergency distribution module 16 authority. The emergency distribution module 16 directly uses the intelligent industrial control unit 3 to control the spare intelligent shuttle vehicle 45 to travel to the temporary storage of the erroneous product, and accurately extracts the product according to the uploaded feedback data and puts it in the correct area again. After the product confirmation is completed, the logistics docking and sending unit 58 docks with the logistics, and all the products are delivered and loaded and sent out to complete the order. Through the scanning and verification unit 53, the incoming and outgoing goods are accurately identified, which can effectively stop the erroneous goods from being distributed and sent in time, and carry out emergency sorting and adjustment in time to avoid sending them to the wrong place with logistics, thereby affecting the user's receiving time and return rate. It is convenient and practical.

[0058] In order to accurately identify and adjust the partitions of incorrectly allocated goods, Figure 6 and Figure 9-10 As shown, the following preferred technical solutions are provided:

[0059] The upload alarm module 56 includes a product recording module 561 and a product positioning module 562. The product recording module 561 is used to scan, identify and record the name, specifications and shipping area information of the erroneous product; and the product positioning module 562 is used to record the positioning data of the erroneous product in the temporary storage area; and the upload alarm module 56 is also provided with a data uploading module 563 that records the erroneous product information and stores the positioning data and uploads it to the online distribution platform 1.

[0060] Specifically, after the scanning and verification unit 53 detects the erroneous product, the product recording module 561 records the name and specification information of the product in real time, and sends the correct regional information. The product positioning module 562 records the positioning data in real time according to the placement of the erroneous product in the product temporary storage module 55, locates and tracks the positioning data of the erroneous product, and the data uploading module 563 uploads the recorded erroneous product information and product placement positioning data to the online distribution platform 1 via the Internet and issues an alarm, prompting corrections and timely distribution and delivery of the erroneous product. By extracting and feeding back the erroneous product name, specification and temporary storage location positioning data, the online distribution platform 1 can respond promptly and quickly to command the intelligent industrial control unit 3 to control the warehousing distribution unit 4 to make regional delivery corrections, thereby enhancing the precise regulation effect of the online distribution platform 1 on the distribution of erroneous products.

[0061] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0062] 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 online e-commerce intelligent distribution system based on the Internet of Things, characterized in that: The invention comprises an online distribution platform (1) for merchants to allocate goods and an order receiving port (2) electrically connected to the online distribution platform (1), wherein the order receiving port (2) is used to receive online orders for goods issued by users, the online distribution platform (1) is remotely connected to an intelligent industrial control unit (3) arranged in a goods warehouse via the Internet, the intelligent industrial control unit (3) is connected to and drives a storage distribution unit (4) by signal, the storage distribution unit (4) is used to directly distribute and transfer the ordered goods in the warehouse to a shipping unit (5), and the shipping unit (5) is used to connect the distributed goods to the logistics for delivery, and the shipping unit (5) is remotely connected to the online distribution platform (1) via the Internet; The online distribution platform (1) comprises a cloud computing processor (11) for performing operation processing and an order generation module (12) electrically connected to the cloud computing processor (11), wherein the order generation module (12) is used to convert and generate order information for display to users, and the cloud computing processor (11) is electrically connected in sequence to an order distribution time planning module (13), an order tracking and statistics module (14), a timeout alarm module (15) and an emergency distribution module (16), wherein the order distribution time planning module (13) is used to formulate and plan the distribution time for corresponding commodities according to the received order information; the order tracking and statistics module (14) is used to conduct real-time tracking and statistics on the total number of received orders and the number of orders that have been distributed; and the timeout alarm module (15) is used to issue an early alarm for orders that are about to time out but have not yet been distributed and sent. The emergency distribution module (16) is used to directly use the intelligent industrial control unit (3) to control the shipping unit (5) to perform corresponding order distribution operations when a distribution accident occurs, and the cloud computing processor (11) is also electrically connected to the matching module (17), the retrieval module (18), the cloud database (19) and the wireless module (110) in sequence. The matching module (17) is used to pair and bind the distribution vehicle equipment and the distribution route of the warehouse distribution unit (4) according to the distribution time planning of the order; the retrieval module (18) is used to quickly search and query related order information according to the product name; the cloud database (19) is used to store data information on the online distribution record of the order product; and the wireless module (110) is used for remote online connection between the cloud computing processor (11) and the intelligent industrial control unit (3) and the shipping unit (5).

2. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 1, characterized in that: The cloud computing processor (11) is also electrically connected to a distribution log module (111). The distribution log module (111) is used to organize data on the distribution and delivery of ordered goods and generate a summary report. The distribution log module (111) includes a weekly distribution report module (1111) for recording the distribution and delivery data of goods within a week, and a monthly distribution report module (1112) for recording the distribution and delivery data of goods within a month. The distribution log module (111) is also provided with a cloud data analysis module (1113) and an optimization report module (1114). The cloud data analysis module (1113) is used to analyze and study the weekly and monthly distribution reports of goods based on cloud data to explore distribution methods that can improve distribution efficiency; and the optimization report module (1114) is used to generate distribution efficiency display results for goods and provide optimization and improvement suggestions on distribution methods.

3. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 2, characterized in that: The distribution execution method of the online distribution platform (1) is as follows: S1: The order generation module (12) receives the order data placed by the converted user and transmits it to the cloud computing processor (11). The cloud computing processor (11) drives the order distribution time planning module (13) to formulate a distribution delivery time plan based on the order data; S2: The matching module (17) matches the order delivery with the delivery vehicle equipment and delivery route of the winning bid of the warehouse delivery unit (4) based on the order delivery time planning, and the special vehicle transfers the warehouse goods out of the warehouse at the specified time; S3: The cloud computing processor (11) remotely connects to the intelligent industrial control unit (3) based on the wireless module (110), and sends the distribution time plan and the goods and route plan paired with the numbered distribution vehicle equipment to the intelligent industrial control unit (3); S4: The intelligent industrial control unit (3) controls the distribution equipment in the storage distribution unit (4) according to the distribution time plan, transfers the target goods out of the warehouse within the planned time, and transfers them to the shipping unit (5) after they are delivered to the destination. The shipping unit (5) takes over the logistics and ships the goods to complete the order; S5: The order tracking and statistics module (14) updates the order completion data in real time, and the timeout alarm module (15) reminds in real time the orders that are not delivered and shipped in time due to the timeout.

4. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 3, characterized in that: The storage and distribution unit (4) comprises an order printing module (41) for printing and displaying order information and a waybill attaching unit (42) for goods distribution and delivery. The storage and distribution unit (4) is provided with a scanning and identification module (43) for scanning and identifying goods, a track lifting and transfer unit (44) for lifting and parallel movement to transfer the ordered goods on the shelf, and an intelligent shuttle vehicle (45) for receiving the ordered goods for zoned fixed-point transportation. The storage and distribution unit (4) is also provided with a storage entry and exit recording module (46) and a storage monitoring unit (47) in sequence. The storage entry and exit recording module (46) is used to record the import and export data of goods in the warehouse in real time. The storage monitoring unit (47) is used to remotely monitor the storage status of the goods in the warehouse in real time.

5. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 4, characterized in that: The shipping unit (5) comprises a shipping receiving comparison module (51) for comparing and confirming the delivered goods and a regional classification and stacking unit (52) for classifying and stacking the goods according to the delivery destination area. The shipping unit (5) is provided with a scanning and verification unit (53), an error commodity transfer unit (54) and a commodity temporary storage module (55) in sequence. The scanning and verification unit (53) is used to scan and verify the attribute information and the distribution and delivery area of ​​the goods; the error commodity transfer unit (54) is used to transfer the goods from the stacked goods for separate placement when the scanning and verification unit (53) scans out the goods with classification matching errors; and the commodity temporary storage module (55) is used to temporarily support the goods with classification matching errors for processing.

6. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 5, characterized in that: The shipping unit (5) is also provided with an upload alarm module (56), a shipping monitoring module (57) and a logistics docking and sending unit (58) in sequence. The upload alarm module (56) is used to collect information of a commodity with classification matching errors after it is detected, upload it to the online distribution platform (1) and perform alarm processing; the shipping monitoring module (57) is used to remotely monitor the situation of the distribution and shipping site in real time; and the logistics docking and sending unit (58) is used to confirm that the commodity is correct and then hand it over to the logistics for delivery.

7. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 6, characterized in that: The scanning and verification unit (53) comprises a barcode recognition module (531) and a weight verification module (532). The barcode recognition module (531) recognizes the name, specification and attribute information of the commodity by scanning the barcode of the commodity, and compares and verifies the barcode with the previously received distribution and delivery commodity information; the weight verification module (532) is used to weigh and verify the weight information of the commodity; and the scanning and verification unit (53) is provided with a packaging verification module (533) for scanning and verifying the integrity of the commodity and the packaging, and a waybill scanning module (534) for confirming and verifying the commodity delivery area.

8. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 7, characterized in that: The distribution operation process of the shipping unit (5) is as follows: S100: After the goods are sent to the designated location according to the delivery province, the delivery and reception comparison module (51) compares and confirms the delivered goods according to the pre-received delivery goods plan; S200: After the goods are confirmed, the regional classification and stacking unit (52) automatically classifies and stacks the goods according to the delivery area, completes the stacking and sorting of the goods, and the scanning and verification unit (53) scans and verifies the goods and the delivery bill to confirm the correctness of the goods delivery name and the classification and delivery area; S300: The products that have passed the scanning and verification are kept in place, and the products that are classified incorrectly are removed and processed by the error product transfer unit (54), and transferred to the product temporary storage module (55) nearby for storage, and the upload alarm module (56) wirelessly transmits the error product data through the Internet; S400: After receiving the product error alarm data, the cloud computing processor (11) immediately activates the emergency distribution module (16) authority. The emergency distribution module (16) directly uses the intelligent industrial control unit (3) to control the spare intelligent shuttle vehicle (45) to travel to the temporary storage of the error product, and accurately extracts the product according to the uploaded feedback data and re-delivers it to the correct area; S500: After the goods are confirmed, the logistics docking and sending unit (58) docks with the logistics, and all the goods are delivered, loaded and sent out to complete the order.

9. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 8, characterized in that: The upload alarm module (56) includes a product recording module (561) and a product positioning module (562). The product recording module (561) is used to scan, identify and record the name, specification and delivery area information of the erroneous product; and the product positioning module (562) is used to record the positioning data of the erroneous product in the temporary storage location; and the upload alarm module (56) is also provided with a data uploading module (563) for recording the erroneous product information and storing the positioning data and uploading it to the online distribution platform (1).

10. The online e-commerce intelligent distribution system based on the Internet of Things as claimed in claim 9, characterized in that: The operation flow of the upload alarm module (56) is as follows: S310: After the scanning and verification unit (53) detects the wrong product, the product recording module (561) records the name and specification information of the product in real time, and sends the correct area information; S320: The product positioning module (562) records the positioning data in real time according to the placement position of the error product in the product temporary storage module (55), and locates and tracks the positioning data of the error product; S330: The data upload module (563) uploads the recorded erroneous product information and product placement data to the online distribution platform (1) via the Internet and issues an alarm, prompting corrections and timely delivery of the erroneous products.

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