Automatic stereoscopic warehouse goods sorting system and method

Abstract

The invention discloses an automatic stereoscopic warehouse goods sorting system and method, and relates to the technical field of intelligent sorting, the system comprises an input layer, a storage layer, an execution layer, a control layer and a management layer, the input layer comprises a bar code RFID scanning system, a machine vision identification system, a sensor and an input terminal, the storage layer comprises a three-dimensional goods shelf, a tray goods shelf system and a storage management system, the execution layer comprises a stacking machine, a conveying belt, a sorting robot and a carrying vehicle, and the control layer comprises a programmable logic controller, a monitoring and data acquisition system and a communication network. According to the automatic stereoscopic warehouse goods sorting system and method, efficient cooperative work among equipment can be achieved, and the goods processing speed and efficiency can be improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent sorting technology, and more specifically, to an automated stereoscopic warehouse cargo sorting system and method. Background Art

[0002] The automated warehouse cargo sorting system constitutes a key part of the modern logistics system. It integrates advanced automation technology and information technology to achieve rapid and accurate sorting of goods. With the rapid development of e-commerce, the efficiency and accuracy of cargo sorting are increasingly required. Therefore, the traditional automated warehouse cargo sorting system is also undergoing continuous technological innovation and optimization and upgrading.

[0003] The existing technology has the following problems: the existing automated warehouse cargo sorting system has limited collaborative working capabilities of equipment such as stackers, conveyor belt systems, sorting robots and handling vehicles, resulting in low overall efficiency. Secondly, the existing automated warehouse cargo sorting system has deficiencies in monitoring and data collection, and cannot accurately reflect the system operation status in real time, affecting the timely handling of faults and the formulation of operational decisions. Finally, the existing automated warehouse cargo sorting system often lacks effective integration and optimization at the management level, resulting in insufficient resource utilization and cumbersome operation procedures. Therefore, it is urgent to propose an automated warehouse cargo sorting system and method that can achieve efficient collaborative work between equipment and improve the speed and efficiency of cargo processing. Summary of the invention

[0004] The purpose of the present invention is to provide an automated three-dimensional warehouse cargo sorting system and method, which can achieve efficient collaborative work between devices and improve the speed and efficiency of cargo processing.

[0005] The present invention provides an automated three-dimensional warehouse cargo sorting system, comprising an input layer, a storage layer, an execution layer, a control layer, and a management layer. The input layer comprises a barcode RFID scanning system, a machine vision recognition system, a sensor, and an input terminal. The storage layer comprises a three-dimensional shelf, a pallet shelf system, and a storage management system. The execution layer comprises a stacker, a conveyor belt, a sorting robot, and a transport vehicle. The control layer comprises a programmable logic controller, a monitoring and data acquisition system, and a communication network. The management layer comprises a warehouse management system, a manufacturing execution system, an enterprise resource planning system, and a data analysis and optimization module. The input layer, the storage layer, the execution layer, the control layer, and the management layer are connected via a communication network.

[0006] Furthermore, the input layer transmits external information to the management layer, which formulates storage and sorting strategies based on the external information and transmits decision information to the control layer, which monitors and adjusts the operation of equipment in the execution layer using a programmable logic controller and control system software based on the decision information.

[0007] Furthermore, the execution layer moves and sorts the goods according to the instructions of the control layer, and feeds back the status information of the goods to the control layer. The control layer then feeds back the execution results to the management layer, and the management layer adjusts the strategy according to the execution results.

[0008] Furthermore, the input layer is used for the system to receive and process cargo information; the barcode RFID scanning system is used to read the barcode and / or RFID tag of the cargo to obtain cargo information, thereby realizing real-time tracking and inventory management of the cargo; the cargo information includes the location and status of the cargo; the machine vision recognition system uses a camera and an image recognition algorithm to recognize the appearance, size, and barcode of the cargo, uses a camera to capture the logo and scratches on the surface of the cargo, and uses an image recognition algorithm to recognize the model and specification of the component to determine whether there are any defects on the surface; the machine vision recognition system is also used to provide accurate grasping for the sorting robot by identifying the center of gravity and grasping point of the cargo. The robot obtains location information, guides the robot to accurately grab the goods, and places the identified goods at the designated location, thereby improving the accuracy and efficiency of the handling operation; the sensors include temperature sensors, humidity sensors and pressure sensors, and the sensors are used to monitor the storage environment, detect the size and weight of the goods, and ensure that the storage conditions of the goods meet the standards; the temperature sensor is used to monitor the temperature of each area of ​​the warehouse in real time. When the temperature exceeds the preset temperature range, the automated warehouse cargo sorting system triggers an alarm device; the humidity sensor is used to monitor humidity changes in real time; the input terminal is used to obtain cargo information, and the working modes of the input terminal include handheld terminals and workstations.

[0009] Furthermore, the above-mentioned storage layer is used to store and manage goods; the three-dimensional shelves are used to store goods; the pallet shelf system is used to carry goods to facilitate the storage and retrieval operations of automated equipment; and the storage management system is used to record the storage location of goods and manage the storage status of goods.

[0010] Furthermore, the stacker is used to store and retrieve goods in the three-dimensional shelf, the conveyor belt is used to transport goods between various operation points, the sorting robot classifies and sorts the goods according to instructions, and the transport vehicle is used to transport the goods; Furthermore, the above-mentioned transport vehicle is an automatic guided vehicle.

[0011] Furthermore, the above-mentioned programmable logic controller is used to issue instructions, and uses the execution layer to perform tasks according to the instructions, thereby controlling the operation of the automated equipment; the monitoring and data acquisition system is used to monitor the operating status of the automated warehouse cargo sorting system in real time; and the communication network is used to connect various components to ensure the real-time and accuracy of data transmission.

[0012] Furthermore, the above-mentioned warehouse management system is used to manage the storage, picking, sorting and outbound delivery processes of goods; the manufacturing execution system is used to integrate with the production process and optimize the manufacturing process; the enterprise resource planning system is used to integrate the resources of the enterprise and provide decision support; the data analysis and optimization module is used to collect system data, analyze it, and optimize the operating process.

[0013] Furthermore, the above-mentioned automated warehouse cargo sorting system uses artificial intelligence algorithms to analyze historical data to predict inventory demand in the future; based on the cargo in and out data and sales trends of the past year, it predicts the demand for different types of electronic components in the next month to reduce errors; the automated warehouse cargo sorting system uses a particle swarm optimization algorithm to optimize the transportation path of the transport robot to reduce transportation time; the automated warehouse cargo sorting system uses deep learning technology to identify potential abnormal situations, and the potential abnormal situations include abnormal placement of goods and hidden dangers of equipment failure; when the automated warehouse cargo sorting system detects an abnormal situation, it automatically adjusts the operating process and issues an alarm; when the automated warehouse cargo sorting system detects abnormal placement of goods, it uses a text message system to issue an alarm and adjust the sorting strategy according to the type and location of the goods to ensure that the goods can be sorted and stored correctly; the automated warehouse cargo sorting system uses an intelligent scheduling system to calculate the sorting strategy based on real-time data and preset rules , dynamically allocate tasks, balance equipment load, and improve overall efficiency; the real-time data includes equipment operating status and inventory status; the control layer sends instructions to the equipment of the execution layer according to the sorting strategy of the management layer, uses the intelligent scheduling system to adjust the equipment operating status in real time according to the information fed back by the equipment, and feeds back the equipment operating status to the management layer, and the management layer adjusts the sorting strategy according to the feedback; the equipment operating status includes assigned tasks and equipment parameters; when the sorting error rate of the sorting robot increases, the control layer uses the intelligent scheduling system to adjust the sorting strategy; the automated three-dimensional warehouse cargo sorting system optimizes resource allocation and reduces resource waste according to the equipment status and inventory status; when the inventory in the preset area is overstocked, the intelligent scheduling system is used to adjust the cargo storage strategy and sorting tasks, and give priority to the outbound delivery of the overstocked cargo; the automated three-dimensional warehouse cargo sorting system also includes a standardized interface, which is used to connect the automated equipment with the warehouse management system and the enterprise resource planning system to achieve real-time synchronization of data.

[0014] The present invention also provides an automated stereoscopic warehouse cargo sorting method, which utilizes the automated stereoscopic warehouse cargo sorting system to sort cargo to be sorted.

[0015] The automated warehouse cargo sorting system and method provided by the present invention have the following beneficial effects: The present invention achieves efficient coordination among devices with the help of precise control of programmable logic controller, significantly improving the speed and efficiency of cargo handling. Specifically, PLC can monitor and adjust the operation status of equipment in real time, ensuring seamless connection of each link, thereby greatly shortening cargo handling time and improving overall work efficiency. The present invention ensures the real-time and accuracy of data transmission through advanced monitoring and data acquisition systems. Through various sensors and communication technologies, the system can collect equipment operation data in real time and quickly transmit it to the control center, providing a solid guarantee for the stable operation of the system. This efficient data processing capability enables the system to discover and solve potential problems in a timely manner, ensuring the smooth operation of the entire flow. The present invention realizes the optimized management of the entire supply chain by deeply integrating the warehouse management system, the manufacturing execution system and the enterprise resource planning system. This integration not only breaks the information island, but also realizes the seamless connection and sharing of data, so that each link of the supply chain can work together, greatly improving the overall operational efficiency. At the same time, the application of data analysis and optimization modules further improves the efficiency and accuracy of the operation process. Through big data analysis and machine learning technology, the system can deeply mine historical data, find potential improvement points, and optimize the operation process in real time, which not only improves the accuracy of the operation, but also reduces human errors, further improving the performance of the entire system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments, in which: Figure 1 This is the architecture diagram of the automated stereoscopic warehouse cargo sorting system provided by the present invention; Figure 2 The present invention provides a workflow diagram of the automated stereoscopic warehouse cargo sorting system. DETAILED DESCRIPTION

[0017] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific embodiments of the present invention are now described in detail with reference to the accompanying drawings.

[0018] Figure 1The architecture diagram of the automated stereoscopic warehouse cargo sorting system of this embodiment is shown. In this embodiment, the automated stereoscopic warehouse cargo sorting system includes an input layer, a storage layer, an execution layer, a control layer, and a management layer. The input layer includes a barcode RFID scanning system, a machine vision recognition system, a sensor, and an input terminal. The storage layer includes stereoscopic shelves, a pallet shelf system, and a storage management system. The execution layer includes a stacker, a conveyor belt, a sorting robot, and a transport vehicle. The control layer includes a programmable logic controller, a monitoring and data acquisition system, and a communication network. The management layer includes a warehouse management system, a manufacturing execution system, an enterprise resource planning system, and a data analysis and optimization module; the input layer, the storage layer, the execution layer, the control layer, and the management layer are connected via a communication network.

[0019] In an exemplary embodiment, the input layer transmits external information to the management layer, which formulates storage and sorting strategies based on the external information and transmits decision information to the control layer, which monitors and adjusts the equipment operation of the execution layer using a programmable logic controller and control system software based on the decision information.

[0020] In an exemplary embodiment, the execution layer moves and sorts the goods according to the instructions of the control layer, and feeds back the status information of the goods to the control layer. The control layer then feeds back the execution results to the management layer, and the management layer adjusts the strategy according to the execution results.

[0021] In an exemplary embodiment, the input layer is used for the system to receive and process cargo information; the barcode RFID scanning system is used to read the barcode and / or RFID tag of the cargo to obtain cargo information, thereby realizing real-time tracking and inventory management of the cargo; the cargo information includes the location and status of the cargo; the machine vision recognition system recognizes the appearance, size, and barcode of the cargo through a camera and an image recognition algorithm, uses a camera to capture marks and scratches on the surface of the cargo, and recognizes the model and specification of the component through an image recognition algorithm to determine whether there are defects on the surface; the machine vision recognition system is also used to provide accurate sorting for the sorting robot by identifying the center of gravity and gripping point of the cargo. The robot can obtain accurate grabbing position information, guide the robot to accurately grab the goods, and place the identified goods at the designated location, thereby improving the accuracy and efficiency of the handling operation; the sensors include temperature sensors, humidity sensors and pressure sensors, and the sensors are used to monitor the storage environment, detect the size and weight of the goods, and ensure that the storage conditions of the goods meet the standards; the temperature sensor is used to monitor the temperature of each area of ​​the warehouse in real time. When the temperature exceeds the preset temperature range, the automated warehouse cargo sorting system triggers an alarm device; the humidity sensor is used to monitor humidity changes in real time; the input terminal is used to obtain cargo information, and the working modes of the input terminal include handheld terminals and workstations.

[0022] In an exemplary embodiment, the storage layer is used to store and manage goods; the three-dimensional shelves are used to store goods; the pallet shelf system is used to carry goods to facilitate storage and retrieval operations of automated equipment; and the storage management system is used to record the storage location of goods and manage the storage status of goods.

[0023] In an exemplary embodiment, the stacker is used to store and retrieve goods in the three-dimensional shelf, the conveyor belt is used to transport goods between various operation points, the sorting robot classifies and sorts the goods according to instructions, and the transport vehicle is used to transport the goods; In an exemplary embodiment, the transport vehicle is an automatic guided vehicle.

[0024] In an exemplary embodiment, the programmable logic controller is used to issue instructions, and the execution layer is used to perform tasks according to the instructions, thereby controlling the operation of the automated equipment; the monitoring and data acquisition system is used to monitor the operating status of the automated warehouse cargo sorting system in real time; and the communication network is used to connect various components to ensure the real-time and accuracy of data transmission.

[0025] In an exemplary embodiment, the warehouse management system is used to manage the storage, picking, sorting, and outbound delivery processes of goods; the manufacturing execution system is used to integrate with the production process and optimize the manufacturing process; the enterprise resource planning system is used to integrate the resources of the enterprise and provide decision support; the data analysis and optimization module is used to collect system data, analyze it, and optimize the operating process.

[0026] In an exemplary embodiment, the above-mentioned automated stereoscopic warehouse cargo sorting system uses artificial intelligence algorithms to analyze historical data to predict inventory demand in the future; based on the cargo in and out data and sales trends of the past year, the demand for different types of electronic components in the next month is predicted to reduce errors; the automated stereoscopic warehouse cargo sorting system uses a particle swarm optimization algorithm to optimize the transportation path of the transport robot to reduce transportation time; the automated stereoscopic warehouse cargo sorting system uses deep learning technology to identify potential abnormal situations, and the potential abnormal situations include abnormal placement of goods and hidden dangers of equipment failure; when the automated stereoscopic warehouse cargo sorting system detects an abnormal situation, it automatically adjusts the operating process and issues an alarm; when the automated stereoscopic warehouse cargo sorting system detects abnormal placement of goods, it uses a text message system to issue an alarm and adjust the sorting strategy according to the type and location of the goods to ensure that the goods can be sorted and stored correctly; the automated stereoscopic warehouse cargo sorting system uses an intelligent scheduling system to calculate the order according to real-time data and Preset rules dynamically allocate tasks, balance equipment load, and improve overall efficiency; the real-time data includes equipment operating status and inventory status; the control layer sends instructions to the equipment of the execution layer according to the sorting strategy of the management layer, uses the intelligent scheduling system to adjust the equipment operating status in real time according to the information fed back by the equipment, and feeds back the equipment operating status to the management layer, and the management layer adjusts the sorting strategy according to the feedback; the equipment operating status includes assigned tasks and equipment parameters; when the sorting error rate of the sorting robot increases, the control layer uses the intelligent scheduling system to adjust the sorting strategy; the automated three-dimensional warehouse cargo sorting system optimizes resource allocation and reduces resource waste according to the equipment status and inventory status; when the inventory in the preset area is overstocked, the intelligent scheduling system is used to adjust the cargo storage strategy and sorting tasks, and give priority to the outbound delivery of the overstocked cargo; the automated three-dimensional warehouse cargo sorting system also includes a standardized interface, which is used to connect the automated equipment with the warehouse management system and the enterprise resource planning system to achieve real-time synchronization of data.

[0027] This embodiment provides a method for sorting goods in an automated three-dimensional warehouse, and uses the automated three-dimensional warehouse goods sorting system to sort goods.

[0028] It should be noted that the above-mentioned automated warehouse cargo sorting system and method rely on the following core technologies to achieve its functions: IoT technology: Deploy a variety of sensors in the warehouse, including temperature, humidity and pressure sensors, to monitor the storage environment and ensure that the storage conditions of the goods meet the standards. For example, electronic components are sensitive to temperature and humidity. The temperature sensor monitors the temperature of each area of ​​the warehouse in real time. When the temperature exceeds the appropriate range, the system automatically triggers the alarm device and notifies the relevant personnel to make adjustments. The humidity sensor also monitors the humidity changes in real time. When the humidity deviates from the appropriate range, corresponding measures are taken to ensure the stability of the environment. Each item is affixed with an RFID tag, and the location and status of the goods can be automatically identified through the RFID reader, so as to achieve real-time tracking and inventory management of the goods. For example, when the goods are put into the warehouse, the RFID reader accurately records the time and location of the goods entering the warehouse. During the movement of goods, the location information of the goods is obtained in real time through the readers installed at key locations in the warehouse, so as to accurately manage the inventory. The shelves, handling robots, sorting machines and other equipment are connected through the network to ensure that data can be exchanged and shared in real time. For example, when the handling robot carries the goods to the designated location, the goods placement information is immediately transmitted to the control center and related systems through the network to achieve real-time data update. Machine vision technology: Through cameras installed at key locations in the warehouse and image recognition algorithms, the appearance, size, barcode and other information of the goods can be accurately identified; for example, for electronic component goods, the camera can clearly capture the tiny marks and scratches on the surface of the component, accurately identify the model and specifications of the component through the image recognition algorithm, and determine whether there are defects on its surface; during the sorting process, the machine vision system can check the defects on the surface of the goods to ensure that only defect-free goods are sent to the next link; for example, for goods with tiny scratches on the surface but do not affect the use, the system can judge according to the pre-set defect standards and screen out the defective goods for special treatment, such as further manual inspection or marking; machine vision technology helps robots to accurately grasp and place goods; for example, for irregularly shaped electronic components, the machine vision system can provide accurate grasping position information for the sorting robot by identifying its center of gravity and grasping point, guide the robot to accurately grasp the goods, and place them in the designated location, improving the accuracy and efficiency of the handling operation; Artificial intelligence algorithm: Through in-depth analysis of historical data, it can predict inventory demand in the future. For example, based on the goods in and out of the warehouse data and sales trends in the past year, the system can predict the demand for different types of electronic components in the next month and try to reduce the error. The particle swarm optimization algorithm is used to refine the path planning of the transport robot, aiming to reduce the time required for transportation. For example, in a large warehouse, the transport robot needs to shuttle between multiple shelves to transport goods. Through the particle swarm optimization algorithm, the robot's transportation path can be more optimized, which shortens the transportation time. Deep learning technology is used to identify potential abnormal situations, such as abnormal placement of goods and hidden dangers of equipment failure. When the system detects an abnormal situation, it can automatically adjust the operation process or issue an alarm in time. For example, when abnormal placement of goods is detected, the SMS system will not only issue an alarm, but also automatically adjust the sorting strategy according to the type and location of the goods to ensure that the goods can be sorted and stored correctly. Intelligent dispatching system: The intelligent dispatching system dynamically allocates tasks, balances equipment loads, and improves overall efficiency based on real-time data (such as equipment operating status and inventory status) and preset rules. In the implementation case, the control layer sends instructions to the execution layer equipment according to the sorting strategy of the management layer during the sorting process. The intelligent dispatching system adjusts the equipment operating status in real time according to the information fed back by the equipment (such as reallocating tasks or adjusting equipment parameters), and feeds back the relevant information to the management layer, which then adjusts the sorting strategy based on the feedback. For example, when the sorting error rate of the sorting robot increases, the intelligent dispatching system will make timely adjustments as in actual applications to ensure the accuracy and efficiency of the sorting process. By monitoring the equipment status and inventory status in real time, the system optimizes resource allocation and reduces resource waste. This is consistent with the implementation case where the control layer and the management layer adjust the sorting tasks and cargo storage strategies according to actual conditions. For example, when a certain area is found to have inventory backlogs, the cargo storage strategy and sorting tasks are adjusted to give priority to the outbound delivery of the backlogged cargo. Automation equipment integration: Integrate programmable logic controllers, industrial networks, robot control systems, etc. into a unified platform to ensure smooth communication between devices. In the implementation case, the execution layer equipment (stackers, conveyor belts, sorting robots, and handling vehicles) can work together, relying on this smooth communication. For example, when the programmable logic controller issues an instruction, each device can execute it quickly and accurately, such as the stacker quickly and accurately storing and taking out goods in the three-dimensional shelf, the conveyor belt smoothly transporting goods, and the sorting robot accurately sorting goods, which is in line with the description of the equipment execution task in the case. Develop standardized interfaces so that these automation equipment can be seamlessly connected with information systems such as warehouse management systems and enterprise resource planning systems to achieve instant data synchronization. In the implementation case, this is reflected in the warehouse management system being able to immediately obtain detailed information about the goods and update inventory data when the goods are put into the warehouse, and the enterprise resource planning system being able to obtain the sorting results in time for subsequent arrangements when the sorting task is completed, ensuring the consistency and accuracy of the data of the entire system, which is consistent with the data interaction between the various layers in the implementation case and the overall operation logic of the system. As an exemplary embodiment, the input layer of the above-mentioned automated warehouse cargo sorting system transmits external information to the management layer, and the management layer formulates storage and sorting strategies based on this information. The management layer transmits the decision information to the control layer, and the control layer monitors and adjusts the equipment operation of the execution layer in real time through the PLC and control system software.

[0029] As an exemplary embodiment, the execution layer moves and sorts the goods according to the instructions of the control layer, and feeds back the status information of the goods to the control layer. The control layer then feeds back the execution results to the management layer, and the management layer adjusts the strategy accordingly to form a closed-loop control system.

[0030] As an exemplary embodiment, the input layer is the part of the system that receives and processes cargo information. The barcode / RFID scanning system is used to read the barcode or RFID tag of the cargo to obtain cargo information. The machine vision system can automatically identify the appearance characteristics of the cargo through a camera and image processing software. The sensor is used to detect the physical properties of the cargo, such as size and weight. The input terminal is a handheld terminal or workstation for manually inputting or confirming cargo information.

[0031] As an exemplary embodiment, the above-mentioned storage layer is responsible for storing and managing goods. The three-dimensional shelves include high-level shelves of an automated three-dimensional warehouse for storing goods. The pallet / shelf system is used to carry goods to facilitate the storage and retrieval operations of automated equipment. The storage management system is used to record the storage location of goods and manage the storage status of goods.

[0032] As an exemplary embodiment, the stacker is used to store and retrieve goods in the three-dimensional shelf, the conveyor belt system is used to transfer goods between various operation points, the sorting robot can classify and sort the goods according to instructions, and the transport vehicle adopts an automatic guided vehicle to transport the goods. ; As an exemplary embodiment, the programmable logic controller is used to control the operation of the automation equipment, the monitoring and data acquisition system is used to monitor the operating status of the system in real time, and the communication network is used to connect various components to ensure the real-time and accuracy of data transmission.

[0033] As an exemplary embodiment, the above-mentioned warehouse management system is used to manage the storage, picking, sorting, and outbound delivery of goods. The manufacturing execution system optimizes the manufacturing process by integrating with the production process. The enterprise resource planning system can integrate all the resources of the enterprise and provide decision support. The data analysis and optimization module is used to collect system data, analyze it, and optimize the operating process.

[0034] In some embodiments, the above-mentioned automated warehouse cargo sorting system and method may also be implemented in the following manner.

[0035] Embodiment 1: like Figure 1 As shown, the present invention provides an automated stereoscopic warehouse cargo sorting system for equipment manufacturing or electronics industry, including an input layer, a storage layer, an execution layer, a control layer, and a management layer. The input layer includes a barcode / RFID scanning system, a machine vision recognition system, a sensor, and an input terminal. The storage layer includes a stereoscopic shelf, a pallet / shelf system, and a storage management system. The execution layer includes a stacker, a conveyor belt, a sorting robot, and a transport vehicle. The control layer includes a programmable logic controller, a monitoring and data acquisition system, and a communication network. The management layer includes a warehouse management system, a manufacturing execution system, an enterprise resource planning system, and a data analysis and optimization module. It should be noted that the data flow of goods entering the warehouse is as follows: When goods enter the warehouse, multiple sensors at the input layer (such as size sensors, weight sensors, etc.) simultaneously start to detect the goods. Taking a batch of electronic component goods as an example, the size sensor can accurately detect the size of each piece of goods, and the weight sensor can accurately detect the weight of each piece of goods. The barcode / RFID scanning system uses high-speed scanning technology to read the barcode or RFID tag of the goods. It has automatic error correction and multiple reading functions for tag reading in complex environments, ensuring that information reading can achieve high accuracy, and obtains basic information of the goods (such as product model, batch number, etc.) and then passes it to the management. The machine vision recognition system captures the image of the goods through high-definition cameras (with autofocus function) installed at key locations in the warehouse, and uses advanced image recognition algorithms to perform secondary accurate recognition of the appearance, size, barcode and other information of the goods. For example, for electronic components with tiny logos or patterns on the surface, it can accurately identify and compare with the barcode / RFID The information obtained by the scanning system is compared and merged; after confirming that the goods have no surface defects, the identification results are fed back to the input layer, and the input layer then passes the complete goods information to the management layer. The whole process is completed efficiently within seconds; after receiving the goods information, the management layer comprehensively considers factors such as the type, quantity, frequency of entry and exit, and storage period of the goods to formulate a storage strategy; for example, electronic components that are frequently in and out of the warehouse and have low environmental requirements may be allocated to areas near the entrances and exits where temperature and humidity control is relatively loose; high-precision, environmentally sensitive electronic components are allocated to special constant temperature and humidity areas; at the same time, the storage management system records the storage location information of the goods in detail, including the number of shelf layers, area numbers, and specific pallet locations, so as to facilitate subsequent rapid search and management; As an exemplary embodiment, assuming that the current system performs a warehousing operation on Goods A, the system will pull all basic information about Goods A and the quantity information of the related vouchers for warehousing and in-warehouse in the previous 7 days from the material master data; assuming that Goods A is an electronic component with low environmental requirements, it is marked as a storage area with a relaxed environment, and the system will make the next judgment; assuming that the frequency of warehousing and in-warehouse of Goods A is greater than 500 times per day (this number can be modified according to actual conditions), it is marked as a high-frequency product, and the system will make the next judgment; assuming that Goods A has batches and a sluggish period, the system will search all warehouse areas and locations, screen out warehouse areas and locations that meet the attributes of "non-constant temperature and humidity" and "closest to warehousing", and warehouse the goods according to the "first in, first out" rule; After the operation is completed, the voucher information for the incoming or outgoing warehouse is generated (including detailed information of the incoming or outgoing warehouse, such as batch number, warehouse location, warehouse location between warehouses, quantity, etc.), and the corresponding inventory account is generated or accumulated and deducted (including warehouse location / batch number / pallet material box number / balance quantity, etc.); It should be noted that the data flow of the sorting process is as follows: The management formulates a detailed sorting strategy based on the incoming goods information and order requirements (e.g., the order requires that electronic components of different models be packaged and shipped in different categories), taking into account factors such as the quantity and priority of each model. The sorting strategy information is then passed to the control layer, which uses the programmable logic controller (PLC) and control system software to reasonably allocate tasks based on the complexity of the sorting tasks and the operating status of the equipment, and accurately issues instructions to the equipment at the execution layer. After receiving the instructions, the equipment at the execution layer quickly starts to execute the sorting tasks. The stacker accurately stores and takes out goods in the three-dimensional shelves. The conveyor belt system smoothly transports goods between various operating points, and the transmission speed is automatically adjusted according to the weight and size of the goods. It also monitors the transmission speed and position information of the goods in real time, and immediately feeds back to the control layer if any abnormality is found. The sorting robot uses advanced visual recognition and robotic arm grasping technology to classify and sort the goods. Each time a piece of goods is sorted, its sorting status (such as sorted, sorting error, etc.) is fed back to the control layer. The control layer adjusts the equipment operating status in real time based on the information fed back by the equipment. For example, if the sorting error rate of the sorting robot increases (such as from the normal 2%), the control layer will automatically send the goods to the control layer. If the error rate of sorting electronic components rises to 5%, the control layer will reallocate tasks or adjust the working parameters of the sorting robot (such as the sensitivity of the visual recognition algorithm, the gripping strength of the robotic arm, etc.) through the intelligent scheduling system, and feed back relevant information to the management. The management may adjust the sorting strategy based on the feedback information. For example, if the sorting error rate of a certain model of electronic components continues to be high, the proportion of manual sampling of this model of goods may be increased, or the sorting strategy may be re-planned to ensure sorting accuracy. As an exemplary embodiment, assume that Goods B is a certain batch of high-end electronic chips, which have extremely high requirements for electrostatic protection and each chip has a unique number for traceability; the system obtains its detailed information through the barcode / RFID scanning system when entering the warehouse, including product model, batch number, production date, etc. (warehousing information); when an order is received, it is required to strictly distinguish this batch of chips from other ordinary chips, and to package and ship them in the order of chip numbers, and this order has the highest priority; the management formulates a sorting strategy: first arrange the stacker to take out Goods B from the special anti-static storage area, and due to its particularity, assign it a separate sorting channel to reduce the risk of contact with other goods; then pass this strategy to the control layer; the control layer uses the PLC to sort out the goods according to the current equipment status, such as whether the conveyor belt is idle and whether the sorting robot is in the best working condition. The control system software reasonably allocates tasks and issues precise instructions to the execution layer equipment; the execution layer starts working, and the stacker quickly and accurately takes out the product B from the three-dimensional shelf and places it at the starting end of the conveyor belt; the conveyor belt system adjusts to the appropriate transmission speed according to the weight and size of the product B, and smoothly transports it to the sorting area, while monitoring the transmission speed and position information of the product in real time. Once an abnormal speed or position deviation is found, it will be immediately fed back to the control layer; the sorting robot uses advanced visual recognition technology to accurately identify the chip number, and uses the robotic arm grasping technology to classify and place the product B in order. Each time a chip is sorted, its sorting status information will be fed back to the control layer; if the sorting process finds that the sorting robot has a high sorting error rate for this model of chip When the rate of chip picking increases to 5% (normal is 2%), the control layer will use the intelligent scheduling system to reallocate tasks, such as reducing the number of chips picked at a time by the sorting robot to improve accuracy. On the other hand, it will adjust the working parameters of the sorting robot, such as improving the visual recognition algorithm's sensitivity to chip numbers and appropriately increasing the gripping force of the robot arm to ensure stable chip picking. At the same time, it will feed back relevant information to the management. Based on the feedback, the management may decide to increase the proportion of manual sampling of this type of goods, such as increasing the rate of sampling from 1 in every 100 pieces to 1 in every 50 pieces, or re-plan the sorting strategy, such as adjusting the sorting path of the sorting robot to optimize its motion trajectory, thereby ensuring sorting accuracy and ultimately completing order requirements efficiently and accurately. In this embodiment, the automated warehouse cargo sorting system integrates the input layer, storage layer, execution layer, control layer and management layer. The Internet of Things technology is used to monitor the environment and realize real-time tracking of cargo. Machine vision technology is used to accurately identify cargo information, thereby improving the accuracy of transportation. Artificial intelligence algorithms are used to optimize inventory management and transportation route planning. The intelligent scheduling system dynamically allocates tasks and optimizes resource utilization, and the integration of automated equipment ensures smooth communication and accurate task execution. The entire system forms a closed-loop control through real-time data exchange and feedback mechanism, which effectively improves sorting efficiency and accuracy.

[0036] Embodiment 2: like Figure 1 As shown, this embodiment provides a preferred technical solution: the input layer of the above-mentioned automated stereoscopic warehouse cargo sorting system is the part of the system that receives and processes cargo information; the barcode / RFID scanning system is used to read the barcode or RFID tag of the cargo to obtain cargo information; the machine vision system can automatically identify the appearance characteristics of the cargo through the camera and image processing software; the sensor is used to detect the physical characteristics of the cargo such as the size and weight; the input terminal adopts a handheld terminal or a workstation to manually input or confirm cargo information; the storage layer is responsible for storing and managing cargo; the stereoscopic shelves include high-level shelves of the automated stereoscopic warehouse for storing cargo; the pallet / shelf system is used to carry cargo to facilitate the access operation of the automated equipment; the storage management system is used to record the storage location of the cargo and manage the cargo Storage status; stackers are used to store and retrieve goods from three-dimensional shelves, conveyor belt systems are used to transport goods between various operation points, sorting robots can classify and sort goods according to instructions, and handling vehicles use automatic guided vehicles to transport goods; programmable logic controllers are used to control the operation of automation equipment, monitoring and data acquisition systems are used to monitor the operating status of the system in real time, and communication networks are used to connect various components to ensure the real-time and accuracy of data transmission; warehouse management systems are used to manage the storage, picking, sorting, and outbound delivery of goods. The manufacturing execution system optimizes the manufacturing process by integrating with the production process. The enterprise resource planning system can integrate all the resources of the enterprise and provide decision support. The data analysis and optimization module is used to collect system data, analyze it, and optimize the operation process; It should be noted that the data processing and flow of the input layer are as follows: As an exemplary embodiment, in a warehouse of an electronics enterprise, a large number of electronic equipment parts are put into the warehouse every day. The barcode / RFID scanning system at the input layer can accurately and quickly read the cargo information; the machine vision recognition system recognizes the appearance characteristics of the cargo, and the recognition result is combined with the information obtained by the barcode / RFID scanning system and then transmitted to the management level; the sensor detects the size and weight data of the cargo, for example, a certain model of metal parts, the weight is between 0.8kg-1.2kg, and the size error is within ±0.2cm; these data are transmitted to the management level together with other information, and the management level formulates storage and sorting strategies based on these data; It should be noted that the data update and flow of the storage layer are as follows: When goods are stored on the shelves, the storage management system will update the goods location information in real time; if the storage volume of goods in a certain area reaches 80% of the set capacity (such as several areas on a certain floor), the storage management system will feed back the information to the management, who may adjust the storage strategy, such as allocating subsequent similar goods to other floors or areas; at the same time, the storage management system will regularly (such as once a week) count the number of goods in and out of the warehouse, inventory turnover rate and other data, and pass these data to the management and data analysis and optimization module for analyzing the warehouse's operational efficiency and optimizing storage strategies; It should be noted that the data feedback and adjustment of the execution layer are as follows: Assume that the average operation time of the stacker to pick up and place goods is 1.5 minutes each time. After each operation is completed, the operation status (success or failure) information will be fed back to the control layer. During the process of transporting goods, the conveyor belt system will monitor the transmission speed and position information of the goods in real time. If the transmission speed is lower than the set value (such as the normal speed of 8 meters per minute, which drops to 6 meters per minute), the conveyor belt system will feed back the information to the control layer, and the control layer will check whether the equipment is faulty and take corresponding measures, such as adjusting the motor power of the conveyor belt, and at the same time feed back the relevant information to the management. When the sorting robot is sorting goods, it will count the classification accuracy for every 100 pieces of goods sorted. If the accuracy rate is lower than the set standard of 95%, the sorting robot will feed back the information to the control layer, and the control layer will adjust the algorithm parameters or working mode of the sorting robot, and feed back the adjustment information to the management. The management may decide whether to increase manual assistance in sorting according to the situation. In this embodiment, the automated three-dimensional warehouse cargo sorting system realizes efficient and accurate cargo processing by integrating advanced input, storage, processing and management technologies. The input layer realizes comprehensive identification and acquisition of cargo information through barcode / RFID scanning systems, machine vision systems and sensors and other equipment. The storage layer uses three-dimensional shelves, pallet / shelf systems and storage management systems to ensure orderly storage and efficient management of cargo. In the execution layer, automated equipment such as stackers, conveyor belt systems, sorting robots and automatic guided vehicles work together to complete the storage, retrieval, transmission and classification of cargo. The programmable logic controller and monitoring system of the control layer ensure the accuracy of equipment operation and the stable operation of the system. The communication network ensures efficient data exchange between various parts of the system. The top-level warehouse management system, manufacturing execution system and enterprise resource planning system realize intelligent management of the entire warehouse process through integration and optimization. The data analysis and optimization module further improves system performance and ensures continuous optimization of the operation process. Overall, this embodiment greatly improves the efficiency and accuracy of warehouse cargo processing through intelligent means, meeting the needs of modern warehousing and logistics.

[0037] As an exemplary embodiment, this embodiment provides an automated three-dimensional warehouse cargo sorting method, using the automated three-dimensional warehouse cargo sorting system to sort the cargo to be sorted, such as Figure 2 As shown in the figure, in the automated logistics system, the input layer is responsible for receiving and transmitting various information from the external environment, including but not limited to the type, quantity, destination and related logistics needs of the goods. The input layer accurately transmits this information to the management layer through sensors, barcode scanners and other data acquisition devices. Then, according to the characteristics and needs of the goods, the management layer will formulate a series of efficient storage and sorting strategies. These strategies are aimed at optimizing the use of storage space and improving the accuracy and efficiency of sorting, so as to ensure that the goods can be delivered to the designated location quickly and accurately. After formulating the strategy, the management layer will pass the decision information to the control layer, and the control layer will use precise instructions and control algorithms to control the goods. , ensuring that the equipment at the execution layer can operate in accordance with the strategies formulated by the management layer. Then the execution layer accurately transports, classifies and sorts the goods according to the instructions issued by the control layer. During the execution process, the execution layer will also monitor the status information of the goods in real time and feed this information back to the control layer. After receiving this information, the control layer will conduct further analysis and processing to ensure the stable operation of the entire system. The control layer will feed back the execution results to the management layer, and the management layer will adjust and optimize the strategy based on these results. Through this closed-loop control mechanism, the system can continuously adjust and optimize itself to cope with the ever-changing external environment and internal needs, thereby achieving optimal logistics efficiency and cost control.

[0038] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation modes, which are merely illustrative rather than restrictive. Under the guidance of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. An automated three-dimensional warehouse cargo sorting system, characterized in that: It includes an input layer, a storage layer, an execution layer, a control layer, and a management layer. The input layer includes a barcode RFID scanning system, a machine vision recognition system, a sensor, and an input terminal. The storage layer includes a three-dimensional shelf, a pallet shelf system, and a storage management system. The execution layer includes a stacker, a conveyor belt, a sorting robot, and a transport vehicle. The control layer includes a programmable logic controller, a monitoring and data acquisition system, and a communication network. The management layer includes a warehouse management system, a manufacturing execution system, an enterprise resource planning system, and a data analysis and optimization module. The input layer, storage layer, execution layer, control layer, and management layer are connected via a communication network.

2. The automated warehouse cargo sorting system according to claim 1, characterized in that: The input layer transmits external information to the management layer, and the management layer formulates storage and sorting strategies according to the external information, and transmits decision information to the control layer. The control layer uses programmable logic controllers and control system software to monitor and adjust the operation of equipment in the execution layer according to the decision information.

3. The automated high-bay warehouse cargo sorting system according to claim 1, characterized in that: The execution layer transports and sorts the goods according to the instructions of the control layer, and feeds back the status information of the goods to the control layer. The control layer then feeds back the execution results to the management layer, and the management layer adjusts the strategy according to the execution results.

4. The automated warehouse cargo sorting system according to claim 1, characterized in that: The input layer is used for the system to receive and process cargo information; the barcode RFID scanning system is used to read the barcode and / or RFID tag of the cargo to obtain cargo information, thereby realizing real-time tracking and inventory management of the cargo; the cargo information includes the location and status of the cargo; the machine vision recognition system uses a camera and an image recognition algorithm to recognize the appearance, size, and barcode of the cargo, uses a camera to capture the logo and scratches on the surface of the cargo, and uses an image recognition algorithm to recognize the model and specification of the component to determine whether there are any defects on the surface; the machine vision recognition system is also used to provide an accurate grasping position for the sorting robot by identifying the center of gravity and grasping point of the cargo. Information guides the robot to accurately grab the goods and place the identified goods at the designated location, thereby improving the accuracy and efficiency of the handling operation; the sensors include temperature sensors, humidity sensors and pressure sensors, and the sensors are used to monitor the storage environment, detect the size and weight of the goods, and ensure that the storage conditions of the goods meet the standards; the temperature sensor is used to monitor the temperature of each area of ​​the warehouse in real time. When the temperature exceeds the preset temperature range, the automated warehouse cargo sorting system triggers an alarm device; the humidity sensor is used to monitor humidity changes in real time; the input terminal is used to obtain cargo information, and the working modes of the input terminal include handheld terminals and workstations.

5. The automated high-bay warehouse cargo sorting system according to claim 1, characterized in that: The storage layer is used to store and manage goods; the three-dimensional shelves are used to store goods; the pallet shelf system is used to carry goods to facilitate the storage and retrieval operations of automated equipment; the storage management system is used to record the storage location of goods and manage the storage status of goods.

6. The automated warehouse cargo sorting system according to claim 1, characterized in that: The stacker is used to store and retrieve goods in the three-dimensional shelf, the conveyor belt is used to transport goods between various operation points, the sorting robot classifies and sorts the goods according to instructions, and the transport vehicle is used to transport the goods.

7. The automated high-bay warehouse cargo sorting system according to claim 1, characterized in that: The programmable logic controller is used to issue instructions, and the execution layer is used to perform tasks according to the instructions, thereby controlling the operation of the automation equipment; the monitoring and data acquisition system is used to monitor the operating status of the automated warehouse cargo sorting system in real time; the communication network is used to connect various components to ensure the real-time and accuracy of data transmission.

8. The automated warehouse cargo sorting system according to claim 1, characterized in that: The warehouse management system is used to manage the storage, picking, sorting and outbound delivery of goods; the manufacturing execution system is used to integrate with the production process and optimize the manufacturing process; The enterprise resource planning system is used to integrate the resources of the enterprise and provide decision support; the data analysis and optimization module is used to collect system data, analyze it, and optimize the operation process.

9. The automated high-bay warehouse cargo sorting system according to claim 1, characterized in that: The automated stereoscopic warehouse cargo sorting system uses artificial intelligence algorithms to analyze historical data to predict inventory demand in the future; based on the cargo in and out data and sales trends of the past year, it predicts the demand for different types of electronic components in the next month to reduce errors; the automated stereoscopic warehouse cargo sorting system uses a particle swarm optimization algorithm to optimize the transportation path of the transport robot to reduce transportation time; the automated stereoscopic warehouse cargo sorting system uses deep learning technology to identify potential abnormal situations, which include abnormal placement of goods and hidden dangers of equipment failure; when the automated stereoscopic warehouse cargo sorting system detects an abnormal situation, it automatically adjusts the operating process and issues an alarm; when the automated stereoscopic warehouse cargo sorting system detects abnormal placement of goods, it uses a text message system to issue an alarm and adjust the sorting strategy according to the type and location of the goods to ensure that the goods can be sorted and stored correctly; the automated stereoscopic warehouse cargo sorting system uses an intelligent scheduling system to dynamically sort goods according to real-time data and preset rules. The control layer sends instructions to the equipment of the execution layer according to the sorting strategy of the management layer, uses the intelligent scheduling system to adjust the equipment operation status in real time according to the information fed back by the equipment, and feeds back the equipment operation status to the management layer, and the management layer adjusts the sorting strategy according to the feedback; the equipment operation status includes the assigned tasks and equipment parameters; when the sorting error rate of the sorting robot increases, the control layer adjusts the sorting strategy by using the intelligent scheduling system; the automated three-dimensional warehouse cargo sorting system optimizes resource allocation and reduces resource waste according to the equipment status and inventory status; when the inventory in the preset area is overstocked, the intelligent scheduling system is used to adjust the cargo storage strategy and sorting tasks, and the overstocked cargo is handled with priority; the automated three-dimensional warehouse cargo sorting system also includes a standardized interface, which is used for the connection between the automated equipment and the warehouse management system and the enterprise resource planning system to achieve real-time synchronization of data.

10. A method for sorting goods in an automated three-dimensional warehouse, characterized in that: The goods to be sorted are sorted using the automated stereoscopic warehouse goods sorting system as described in any one of claims 1 to 8.

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