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Views: 0 Author: Site Editor Publish Time: 2024-04-24 Origin: Site
With the continuous development of the logistics industry, traditional manual sorting can no longer meet the needs of the warehousing and logistics industry. In this case, the sorting machine came into being. As a modern warehousing and logistics equipment, the sorting machine can greatly improve the sorting efficiency and accuracy, and is an important tool in the logistics and warehousing industry.
The development history of sorting machines can be traced back to the 19th century. At that time, it was still in an era of low 
A sorter is a device that uses computer technology to control motors or pneumatic devices to move items. Its working principle is to place the items to be sorted on the conveyor belt, and after adjustment, the items are sorted into corresponding containers through automatic identification equipment.
The operating principle of the sorter, in simple terms, mainly includes three core elements: image recognition, mechanical structure and control system.
First of all, image recognition technology is the "eyes" for the sorter to distinguish items. Whether it is a high-resolution camera or a laser scanning device, it can help the sorting machine identify the characteristics of the items to be sorted. For example, in express sorting, the sorting machine can easily obtain various information about items by photographing the barcode or QR code on the express delivery order; in the food processing industry, the sorting machine can also identify various types of food through appearance characteristics. Accurate classification. Image recognition technology covers algorithms such as pattern matching, feature extraction, and deep learning, providing powerful support for the classification and identification of items.
The mechanical structure is the "skeleton" of the sorter. It consists of conveyor belts, sensors, robotic arms and sorters. The conveyor belt transports the items to be sorted to the appropriate location, and the sensor is responsible for detecting the location, shape, size and other information of the items to provide feedback to the system. As the core component, the robotic arm accurately grabs, turns and places items according to preset sorting rules and recognition results. The sorter sorts items based on their attributes and target location requirements.
The control system is undoubtedly the "brain" of the sorter. A control system consisting of a computer, PLC or microcontroller is responsible for coordinating the work of various components. It can not only process and analyze the characteristic information and sorting rules of items, but also make decisions and control. Specifically, the control system will receive the item characteristic information transmitted from the image recognition system, analyze and process it, and then calculate the classification and sorting results of the items based on the sorting rules and algorithms. The control system sends instructions to the mechanical structure to control the movements of the robotic arms and sorters to accurately sort items to designated locations. At the same time, it is also responsible for monitoring and adjusting the operating status of the sorter to ensure its normal operation and safety.
The automatic sorting system is one of the necessary facilities for advanced distribution centers. Common automatic sorting systems mainly include: 1. Cross-belt sorter, 2. Tumbler sorter, 3. Slider sorter, 4. Balance wheel sorter, 5. Ball sorter, 6. Roller floating sorter.
Sorting machines are at the forefront of the automation field and play an important role in accurately classifying various items. It has the advantages of high efficiency, accuracy and precision, and can improve the efficiency and operation speed of logistics sorting. In addition, sorting machines also have a wide range of application scenarios, especially in e-commerce logistics, express logistics, food logistics, medical logistics and other fields, and play an important role.
With the continuous advancement of technology and the further development of the logistics industry, sorting machines will become increasingly intelligent in the future. On the one hand, improvements in sensor technology will enable sorting machines to more accurately identify and classify items and reduce error rates. On the other hand, the application of artificial intelligence and machine learning will enable the sorting machine to continuously improve its intelligence level through learning and optimization algorithms, and better adapt to different items and sorting environments.
At the same time, sorting machines will be widely used in emerging fields such as cross-border e-commerce logistics. The application prospects are very broad and will become an essential tool in the logistics field.
In addition to improving work efficiency and accuracy, sorters also contribute to sustainability. Traditional manual sorting has problems such as high labor intensity and poor working environment. The application of sorting machines can reduce manual labor pressure and improve the safety and comfort of the working environment. At the same time, the sorting machine's intelligent control and optimization algorithm can also reduce energy consumption and material waste, contributing to environmental protection.
Although sorting machines have broad application prospects, they also face some challenges. First, classifying items of different sizes, shapes and materials remains a challenge that requires further technological innovations and solutions. Secondly, the rapid development of the logistics industry also requires sorting machines to be able to adapt to peak periods and large-scale order processing, and improve operation speed and efficiency.
In the future, as the digitalization and intelligence trends in the logistics industry continue to strengthen, sorting machines will become more intelligent, automated and flexible. For example, combined with the Internet of Things and big data technology, sorting machines can interact with other equipment and systems in real-time data to achieve more efficient logistics management and collaboration. At the same time, sorting machines may also be combined with robotic technology to achieve a more intelligent and automated sorting process.
In the future, it will play a greater role in accelerating logistics processes, reducing manual operations, reducing costs, and providing higher quality and more reliable sorting services. The continuous evolution of intelligent and automated sorting machines will greatly improve the efficiency and sustainability of the logistics industry.
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