Intelligent logistics sorting system

Abstract

The invention provides an intelligent logistics sorting system, and relates to the technical field of logistics sorting. The intelligent logistics sorting system comprises an article recognition system, a data processing system, an automatic sorting system, a conveying system, a monitoring system and a user interaction system. According to the article identification system, the advanced identification technology is adopted, and the information of the article can be rapidly and accurately identified; the data processing system analyzes the data provided by the article identification system based on a machine learning algorithm to realize automatic classification of articles; the automatic sorting system realizes automatic sorting according to the information of the articles; the conveying system is used for automatically conveying articles; and the monitoring system. By combining the advanced article recognition technology, the machine learning algorithm, the automatic mechanical arm and other modules, efficient and accurate sorting of logistics articles is achieved, the sorting efficiency is remarkably improved, the error rate of manual sorting is reduced, and huge economic benefits are brought to the logistics industry.

Description

Technical Field

[0001] The present invention relates to the technical field of logistics sorting, and in particular to an intelligent logistics sorting system. Background Art

[0002] The traditional logistics sorting method specifically means that after receiving the express, the courier determines the first transfer station of the express according to the corresponding shipping address and receiving address of the express; and sends all the express belonging to the same transfer station to the transfer station through manual sorting; after arriving at the next transfer station, the express is distributed according to the transfer station according to the above method until all transfer stations have completed the transfer, that is, delivered to the user's destination. However, with the development of e-commerce, the order sorting volume has increased rapidly, the number of distribution areas has increased, and the labor cost has not only become higher and higher, but also the problems of low efficiency and high error rate in manual sorting; the requirements for management efficiency and user experience have also changed. Manual sorting alone cannot effectively complete the sorting task, and it may even hinder the delivery efficiency and service quality.

[0003] With the rapid development of e-commerce, the logistics industry is facing tremendous pressure to handle parcels. Traditional manual sorting methods are inefficient and prone to errors. Although the existing automated sorting system has improved efficiency, it still has problems such as low recognition accuracy, abnormal delivery, and insufficient system flexibility. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the deficiencies in the prior art, the present invention provides an intelligent logistics sorting system, which solves the problems of low recognition accuracy, abnormal transportation, and insufficient system flexibility.

[0005] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent logistics sorting system, including an item identification system, a data processing system, an automatic sorting system, a conveying system, a monitoring system, and a user interaction system; The object identification system adopts advanced identification technology and can quickly and accurately identify the information of objects; The data processing system analyzes the data provided by the object identification system based on a machine learning algorithm to achieve automatic classification of objects; The automatic sorting system realizes automatic sorting according to the information of the items; The conveying system is used to automatically convey items; The monitoring system is used to monitor the entire sorting process, ensure the stable operation of the system, and promptly alarm when an abnormality occurs; The user interaction system provides a simple and intuitive operation interface for operators to monitor and manage the sorting process.

[0006] Preferably, the item identification system includes an image acquisition module, an item identification module and an item classification module. The image acquisition module is used to capture image information of logistics items. The item identification module uses advanced recognition technology to quickly and accurately identify item information. The item classification module is used to classify items.

[0007] Preferably, the image acquisition module captures the image of the object through a high-definition camera, and identifies the shape, size, and text features of the object through the object recognition module.

[0008] Preferably, the data processing system includes a machine learning algorithm for analyzing the collected images and identifying the destination, size, and weight information of the items.

[0009] Preferably, the automatic sorting system is based on the data processing system and transmits sorting information to the conveying system.

[0010] Preferably, the conveying system includes an automated robotic arm module, a longitudinal lifting module and a transverse docking module, the automated robotic arm module is used to grab and transfer objects, the longitudinal lifting module is used to adjust the height of objects, and the transverse docking module is used to adjust the docking of objects.

[0011] Preferably, the automated robotic arm module, the longitudinal lifting module and the transverse docking module cooperate with each other to sort the items into designated sorting areas.

[0012] Preferably, the monitoring system includes cameras arranged in various corners to implement monitoring.

[0013] Preferably, the user interaction system includes a display screen and a wireless transmission system.

[0014] (III) Beneficial effects The present invention provides an intelligent logistics sorting system. It has the following beneficial effects: 1. The intelligent logistics sorting system realizes efficient and accurate sorting of logistics items by combining advanced item recognition technology, machine learning algorithms, automated robotic arms and other modules, significantly improving sorting efficiency, reducing the error rate of manual sorting, and bringing huge economic benefits to the logistics industry.

[0015] 2. The system uses a high-definition camera to capture the image of the object, and uses the object recognition module to identify the shape, size, and text features of the object, ensuring the accuracy and precision of the recognition, and providing reliable data support for the subsequent sorting process.

[0016] 3. The data processing system uses machine learning algorithms to analyze the collected images and identify the destination, size, weight and other information of the items, making the sorting process more intelligent and automated, further improving the efficiency and accuracy of sorting.

[0017] 4. The automatic sorting system is based on the data processing system and realizes automatic sorting according to the information of the items without human intervention, which greatly improves the sorting efficiency and reduces labor costs.

[0018] 5. The conveying system includes an automated robotic arm module, a longitudinal lifting module and a transverse docking module, which work together to sort items to designated sorting areas, achieving fast and accurate delivery of items.

[0019] To sum up, the intelligent logistics sorting system is characterized by high efficiency, accuracy, intelligence and automation, which has injected new impetus into the development of the logistics industry and brought huge commercial value and social benefits. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 This is a schematic diagram of the structure of the intelligent logistics sorting system of the present invention; Figure 2 It is a schematic diagram of the structure of the object identification system of the present invention; Figure 3 It is a schematic diagram of the structure of the conveying system of the present invention. DETAILED DESCRIPTION

[0021] 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.

[0022] Embodiment 1: like Figure 1 As shown, an embodiment of the present invention provides an intelligent logistics sorting system, including an item identification system, a data processing system, an automatic sorting system, a conveying system, a monitoring system, and a user interaction system. These systems work together to achieve intelligent, efficient, and accurate logistics sorting.

[0023] The object recognition system uses high-definition cameras to capture the image information of logistics objects and uses deep learning algorithms to quickly and accurately identify the shape, size, text features and other information of the objects. This step provides accurate data support for subsequent data processing and automatic sorting.

[0024] The data processing system analyzes and classifies the data provided by the object identification system based on machine learning algorithms. By identifying the destination, size, weight and other information of the objects, the data processing system can intelligently generate sorting instructions to guide the automatic sorting system to perform sorting operations.

[0025] The automatic sorting system, according to the sorting instructions generated by the data processing system, accurately sorts the items to the designated sorting area through the cooperation of the automatic mechanical arm module, the longitudinal lifting module and the lateral docking module. In this process, no human intervention is required, which greatly improves the sorting efficiency and accuracy and reduces labor costs.

[0026] The conveying system is responsible for transporting items from the starting point to the sorting system. Through the coordinated work of the automated robotic arm module, the longitudinal lifting module and the transverse docking module, the conveying system can adjust the height and docking of items to ensure that the items can reach the sorting system smoothly and accurately.

[0027] The monitoring system monitors the entire sorting process in real time through cameras installed in every corner. Once an abnormal situation occurs, the monitoring system will immediately issue an alarm to remind the operator to handle it in time to ensure the stable operation of the system.

[0028] The user interaction system provides a simple and intuitive operation interface, which is convenient for operators to monitor and manage the sorting process. Through the display screen and wireless transmission system, the user interaction system can display the sorting progress, abnormal conditions and other information to the operator in real time, improving management efficiency and user experience.

[0029] When implementing the present invention, appropriate deep learning algorithms and machine learning algorithms can be selected according to actual needs, as well as corresponding hardware devices, such as high-definition cameras, automated robotic arms, etc. At the same time, the system needs to be fully tested and optimized to ensure the stability and accuracy of the system.

[0030] In summary, the intelligent logistics sorting system provided by the embodiment of the present invention realizes efficient and accurate sorting of logistics items by combining advanced item recognition technology, machine learning algorithms, and automated robotic arms and other modules. The system has the characteristics of high efficiency, accuracy, intelligence, and automation, injecting new impetus into the development of the logistics industry and bringing huge commercial value and social benefits.

[0031] Embodiment 2: The difference between this embodiment and the first embodiment is that: Figure 2The object recognition system includes an image acquisition module, an object recognition module and an object classification module. The image acquisition module is used to capture the image information of logistics objects. The object recognition module uses advanced recognition technology to quickly and accurately recognize the information of objects. The object classification module is used to classify objects. The image acquisition module captures the image of the object through a high-definition camera, and the object recognition module recognizes the shape, size, and text features of the object.

[0032] In addition, the item classification module can automatically classify items into corresponding categories based on the identification of items, such as by shape, size, weight and other characteristics, or by material, purpose and other attributes of items. This classification function helps to further improve the intelligence of the sorting system, making the sorting process more efficient and accurate.

[0033] In the object recognition module, advanced recognition technologies such as deep learning and neural networks can be used to train a large amount of object image data so that the system can automatically learn and recognize the characteristics of various objects. This technology can effectively improve the accuracy and precision of recognition and provide reliable data support for the subsequent sorting process.

[0034] In addition, in order to further improve the intelligence of the sorting system, the item recognition system can be deeply integrated with the data processing system, automatic sorting system, etc. For example, the item information identified by the item recognition system can be matched with the sorting instructions generated by the data processing system to achieve accurate sorting of items. At the same time, the sorting progress, abnormal conditions and other information can be displayed to the operator in real time through the user interaction system to improve management efficiency and user experience.

[0035] In summary, the intelligent logistics sorting system provided in this embodiment has been further optimized and improved in terms of item identification. By introducing advanced identification technology and classification functions, the intelligence level and sorting efficiency of the system have been improved, injecting new impetus into the development of the logistics industry. At the same time, the system also has the characteristics of high efficiency, accuracy, intelligence, and automation, providing strong support for the transformation and upgrading of the logistics industry.

[0036] Embodiment three: The difference between this embodiment and the first embodiment is that: Figure 3 The conveying system includes an automated mechanical arm module, a longitudinal lifting module and a transverse docking module. The automated mechanical arm module is used to grab and transfer items, the longitudinal lifting module is used to adjust the height of items, and the transverse docking module is used to adjust the docking of items. The automated mechanical arm module, the longitudinal lifting module and the transverse docking module cooperate with each other to sort the items to the designated sorting area.

[0037] In the conveying system, the automated robotic arm module plays a vital role. The module uses advanced robotic arm technology and precise control systems to automatically grab and transfer items, ensuring that the items can flow smoothly during the sorting process. The design of the robotic arm takes into account items of different shapes and sizes. Through flexible joints and precise grabbing devices, it can adapt to the grabbing needs of various items, greatly improving the efficiency and accuracy of conveying.

[0038] The longitudinal lifting module is responsible for adjusting the height of the items. Since the size and shape of logistics items vary, in order to meet the requirements of the sorting system, the height of the items needs to be accurately adjusted. The longitudinal lifting module can adjust the height of the items through electric push rods, lifting platforms and other devices, so that the items can reach the sorting system accurately, avoiding sorting errors caused by height mismatch.

[0039] The lateral docking module manages the docking adjustment of items. During the conveying process, items need to be accurately transferred from one conveyor belt to another, which requires lateral docking. The lateral docking module can achieve accurate docking of items through precise control systems and docking devices, avoiding collision and damage of items during the docking process, and ensuring the safety and integrity of the items.

[0040] In addition, in order to improve the efficiency and stability of the conveying system, the automated robotic arm module, the longitudinal lifting module and the lateral docking module can also be controlled collaboratively. Through precise control systems and algorithms, the modules can work together to enable items to flow smoothly and accurately during the conveying process, improving the efficiency and stability of the entire sorting system.

[0041] In summary, the intelligent logistics sorting system provided in this embodiment has been further optimized and improved in terms of the conveying system. By introducing the automated mechanical arm module, the longitudinal lifting module and the lateral docking module, the height adjustment and docking adjustment of the items are realized, and the efficiency and stability of the conveying system are improved. At the same time, the system also has the characteristics of high efficiency, accuracy, intelligence, and automation, which has injected new impetus into the development of the logistics industry and brought huge commercial value and social benefits.

[0042] 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 intelligent logistics sorting system, characterized by: Including item identification system, data processing system, automatic sorting system, conveying system, monitoring system, and user interaction system; The object identification system adopts advanced identification technology and can quickly and accurately identify the information of objects; The data processing system analyzes the data provided by the object identification system based on a machine learning algorithm to achieve automatic classification of objects; The automatic sorting system realizes automatic sorting according to the information of the items; The conveying system is used to automatically convey items; The monitoring system is used to monitor the entire sorting process, ensure the stable operation of the system, and promptly alarm when an abnormality occurs; The user interaction system provides a simple and intuitive operation interface for operators to monitor and manage the sorting process.

2. The intelligent logistics sorting system according to claim 1, characterized in that: The item recognition system includes an image acquisition module, an item recognition module and an item classification module. The image acquisition module is used to capture image information of logistics items. The item recognition module uses advanced recognition technology to quickly and accurately recognize item information. The item classification module is used to classify items.

3. The intelligent logistics sorting system according to claim 2, characterized in that: The image acquisition module captures the image of the object through a high-definition camera, and identifies the shape, size, and text features of the object through the object recognition module.

4. The intelligent logistics sorting system according to claim 1, characterized in that: The data processing system includes a machine learning algorithm for analyzing the collected images and identifying the destination, size, and weight information of the items.

5. The intelligent logistics sorting system according to claim 1, characterized in that: The automatic sorting system is based on the data processing system and transmits sorting information to the conveying system.

6. The intelligent logistics sorting system according to claim 1, characterized in that: The conveying system includes an automated robotic arm module, a longitudinal lifting module and a transverse docking module. The automated robotic arm module is used to grab and transfer objects, the longitudinal lifting module is used to adjust the height of objects, and the transverse docking module is used to adjust the docking of objects.

7. The intelligent logistics sorting system according to claim 6, characterized in that: The automated robotic arm module, the longitudinal lifting module and the transverse docking module cooperate with each other to sort the items to a designated sorting area.

8. The intelligent logistics sorting system according to claim 1, characterized in that: The monitoring system includes cameras arranged in various corners to implement monitoring.

9. The intelligent logistics sorting system according to claim 1, characterized in that: The user interaction system includes a display screen and a wireless transmission system.

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