Warehouse management system applied to intelligent logistics

Abstract

The invention provides a warehouse management system applied to intelligent logistics. The warehouse management system comprises a warehouse-in management module, a warehouse-out management module, an inventory management module, a data analysis module, an automatic equipment control module, a safety monitoring module and a logistics distribution module. By integrating the Internet of Things (IoT), the RFID technology, bar code recognition, big data analysis, an artificial intelligence algorithm and the like, efficient, accurate and intelligent warehouse operation is realized. Tediousness and low efficiency of traditional manual operation are replaced, and the space utilization rate, the cargo turnover speed and the customer satisfaction degree of a warehouse are remarkably improved. By collecting and analyzing various data (such as inventory data, order data, transportation data and the like), accurate decision support can be provided for enterprises, and the enterprises are helped to optimize warehousing and logistics management processes. A visual and easy-to-use user interface and an operation process can be provided, and warehouse employees can operate and manage the system conveniently.

Description

Technical Field

[0001] The present invention relates to the technical field of warehouse management, and in particular to a warehouse management system applied to intelligent logistics. Background Art

[0002] The warehouse management system is a management mode that comprehensively controls the storage, sorting, distribution, and management of goods in the warehouse. With the continuous advancement of technologies such as artificial intelligence, big data, and the Internet of Things, the application of intelligent warehouse management systems in various industries will gradually deepen and expand. For enterprises, choosing an intelligent warehouse system that suits their own business model will bring new opportunities and challenges to the development of the enterprise. In the future, the intelligent warehouse management system will pay more attention to the improvement of user experience, data security, system stability, etc. to meet the growing warehouse management needs of enterprises. Summary of the invention

[0003] In order to solve the above problems, the present invention discloses a warehouse management system applied to intelligent logistics.

[0004] The specific plan is as follows: A warehouse management system applied to intelligent logistics, characterized in that it includes an entry management module, an exit management module, an inventory management module, a data analysis module, an automation equipment control module, a safety monitoring module and a logistics distribution module; the entry management module is responsible for the goods receiving, acceptance and shelving process; the exit management module is responsible for the goods picking, sorting, packaging and shipping links; the inventory management module is used to realize real-time monitoring and management of existing goods in the warehouse; the data analysis module is used to realize the collection, integration and analysis of data in each link, and provide decision support for enterprise management; the automation equipment control module is responsible for controlling and managing various automation equipment; the safety monitoring module is used to realize all-round real-time monitoring of storage scenes through various sensors and monitoring equipment; the logistics distribution module is responsible for the distribution planning and execution of goods.

[0005] Furthermore, the information transmission between modules is as follows: S1. Warehouse management module and inventory management module: The warehouse management module is responsible for receiving and placing the goods on the shelves at the designated location, and updating the inventory information in the inventory management module; the inventory management module monitors the inventory status of the goods in real time and provides inventory warnings and replenishment suggestions for the warehouse management module; S2, outbound management module and inventory management module: the outbound management module picks and sorts goods from the inventory management module according to order information, and updates the inventory information in the inventory management module; the inventory management module adjusts the inventory level according to the outbound situation to ensure the accuracy and stability of the inventory; S3, Data analysis module and other modules: The data analysis module collects data from other modules and integrates and analyzes them. Through the analysis results, the data analysis module provides decision support and optimization suggestions for other modules to help improve the efficiency and accuracy of overall warehouse management. S4, Automation equipment control module and warehouse entry / exit management module: The automation equipment control module is responsible for controlling and managing various automation equipment, which plays an important role in the warehouse entry and exit process, improving the processing speed and accuracy of goods; the warehouse entry / exit management module realizes the control and scheduling of automation equipment by calling the interface of the automation equipment control module; S5. Security monitoring module and other modules: The security monitoring module is responsible for monitoring the security of the storage scene and promptly discovering and handling potential safety hazards. Other modules need to comply with the safety specifications and standards set by the security monitoring module during operation to ensure the safety and stability of storage management. S6. Logistics distribution module and outbound management module: The logistics distribution module is responsible for planning and executing the distribution of goods picked and sorted by the outbound management module; the two modules achieve fast and accurate distribution of goods through data exchange and information sharing.

[0006] Furthermore, the warehousing management module adopts RFID technology and barcode recognition algorithm to quickly identify and locate goods and automatically complete information collection and entry; among them, RFID technology is used to quickly identify and locate goods, which is measured by recognition accuracy and recognition distance indicators; the barcode recognition algorithm is based on image processing technology, involving image preprocessing, binarization, edge detection, and feature extraction steps.

[0007] Furthermore, the outbound management module realizes automatic allocation and optimization of orders through order optimization algorithm and path planning algorithm, reduces errors caused by human factors, and improves outbound efficiency; wherein, the goal of the order optimization algorithm is to minimize order processing time and cost, and adopts linear programming and integer programming optimization methods; the path planning algorithm is used to determine the best path for goods from the storage location to the outbound port, specifically adopting the shortest path algorithm in graph theory, including Dijkstra algorithm or Floyd-Warshall algorithm, through the adjacency matrix or adjacency list of the graph, and the calculation of path length.

[0008] Furthermore, the inventory management module uses inventory management algorithms (such as ABC analysis, safety stock model, economic order quantity EOQ model, etc.) and demand forecasting algorithms (such as time series analysis, regression analysis and neural network, etc.) to accurately manage the storage location, quantity and status information of goods and minimize the problems caused by inventory deviations; among them, the inventory management algorithm is ABC analysis, safety stock model or economic order quantity EOQ model; specifically: (1) ABC analysis divides the goods into three categories: A, B, and C according to their value or importance. The classification criteria are based on the value and quantity ratios of the goods. (2) The safety stock model is used to determine how much inventory should be kept to avoid stockouts given demand uncertainty and replenishment lead time; the safety stock formula is: Safety stock = (maximum demand × maximum order cycle) - (average demand × average order cycle) (3) The economic order quantity (EOQ) model is used to determine the optimal quantity for each order to minimize the sum of ordering cost and holding cost. The EOQ formula is: EOQ = √ (2DS) / H Where D is the annual demand, S is the cost of each order, and H is the unit inventory holding cost.

[0009] Furthermore, the data analysis module adopts big data analysis algorithms and data mining algorithms to discover potential problems and opportunities and provide scientific decision-making basis for enterprises; among them, big data analysis algorithms include linear regression, logistic regression, decision tree and support vector machine.

[0010] Furthermore, the automation equipment control module adopts equipment scheduling algorithm and path optimization algorithm to realize centralized control and unified scheduling of various automation equipment, thereby improving equipment utilization and operating efficiency; among which, the equipment scheduling algorithm is used to determine the optimal working sequence and path of the automation equipment, specifically involving task allocation, time window constraints and path optimization.

[0011] Furthermore, the security monitoring module adopts an image recognition algorithm to promptly detect and deal with various safety hazards to ensure the safe and stable operation of the warehousing scene; among them, the image recognition algorithm is used to monitor abnormal situations in the warehousing scene.

[0012] Furthermore, the logistics distribution module transfers the goods to the logistics packing collection point through a specially designed cargo transfer cart, and realizes fast and accurate delivery of goods through a path optimization algorithm, thereby improving the logistics distribution efficiency.

[0013] Furthermore, the cargo transfer trolley is used in conjunction with a cargo support plate, which is a rectangular plate-shaped structure, and support blocks are respectively provided at the four top corners of its bottom surface. The body of the cargo transfer trolley is a rectangular plate-shaped structure, and a mounting groove is provided in the middle of its surface, and support grooves corresponding to the four support blocks are also provided on the surface, and wheels are respectively installed at the four top corners of the bottom surface. A rotating disk is provided in the mounting groove, and a through strip is provided on the side of the rotating disk, and is connected to the motor transmission. A lifting cylinder is provided on the top surface, and a bar is provided on the upper end of the piston rod of the lifting cylinder. A buckle matching the bar is provided in the middle of the bottom surface of the cargo support plate, and the top surface side edges of the transfer trolley are provided with flippable telescopic protective rods.

[0014] The beneficial effects of the present invention are: 1. It has achieved a high degree of automation and intelligence. By integrating the Internet of Things (IoT), RFID technology, barcode recognition, big data analysis, artificial intelligence algorithms, etc., the intelligent warehouse management system has achieved efficient, accurate and intelligent warehouse operations. These technologies not only replace the cumbersome and inefficient traditional manual operations, but also significantly improve the warehouse's space utilization, cargo turnover speed and customer satisfaction.

[0015] 2. This system has powerful data analysis and decision support functions. By collecting and analyzing various data (such as inventory data, order data, transportation data, etc.), the system can provide enterprises with accurate decision support and help them optimize warehousing and logistics management processes.

[0016] 3. Improved user experience and operational convenience. The system provides an intuitive and easy-to-use user interface and operating procedures to facilitate warehouse staff to operate and manage. At the same time, the system also supports mobile device access. Employees can use mobile phones or tablets to query inventory, enter and exit warehouses anytime and anywhere, improving work efficiency and convenience. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a system flow chart of the present invention.

[0018] Figure 2 It is a schematic structural diagram of the cargo transfer vehicle in the present invention.

[0019] List of reference numerals: 1- cargo support plate, 2- support block, 3- vehicle body, 4- wheel, 5- rotating plate, 6- motor, 7- lifting cylinder, 8- barb, 9- buckle, 10- telescopic protective rod. DETAILED DESCRIPTION

[0020] The present invention will be further explained below in conjunction with specific implementation modes. It should be understood that the following specific implementation modes are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0021] As shown in the figure, the present invention improves a warehouse management system applied to intelligent logistics, including an incoming management module, an outgoing management module, an inventory management module, a data analysis module, an automated equipment control module, a safety monitoring module and a logistics distribution module; the incoming management module is responsible for the goods receiving, acceptance and shelving processes; the outgoing management module is responsible for the goods picking, sorting, packaging and shipping links; the inventory management module is used to realize real-time monitoring and management of existing goods in the warehouse; the data analysis module is used to realize the collection, integration and analysis of data in each link, and provide decision support for enterprise management; the automated equipment control module is responsible for controlling and managing various automated equipment; the safety monitoring module is used to realize all-round real-time monitoring of warehousing scenes through various sensors and monitoring equipment; the logistics distribution module is responsible for the distribution planning and execution of goods.

[0022] In this embodiment, the information transmission mode between modules is as follows: S1. Warehouse management module and inventory management module: The warehouse management module is responsible for receiving and placing the goods on the shelves at the designated location, and updating the inventory information in the inventory management module; the inventory management module monitors the inventory status of the goods in real time and provides inventory warnings and replenishment suggestions for the warehouse management module; S2, outbound management module and inventory management module: the outbound management module picks and sorts goods from the inventory management module according to order information, and updates the inventory information in the inventory management module; the inventory management module adjusts the inventory level according to the outbound situation to ensure the accuracy and stability of the inventory; S3, Data analysis module and other modules: The data analysis module collects data from other modules and integrates and analyzes them. Through the analysis results, the data analysis module provides decision support and optimization suggestions for other modules to help improve the efficiency and accuracy of overall warehouse management. S4, Automation equipment control module and warehouse entry / exit management module: The automation equipment control module is responsible for controlling and managing various automation equipment, which plays an important role in the warehouse entry and exit process, improving the processing speed and accuracy of goods; the warehouse entry / exit management module realizes the control and scheduling of automation equipment by calling the interface of the automation equipment control module; S5. Security monitoring module and other modules: The security monitoring module is responsible for monitoring the security of the storage scene and promptly discovering and handling potential safety hazards. Other modules need to comply with the safety specifications and standards set by the security monitoring module during operation to ensure the safety and stability of storage management. S6. Logistics distribution module and outbound management module: The logistics distribution module is responsible for planning and executing the distribution of goods picked and sorted by the outbound management module; the two modules achieve fast and accurate distribution of goods through data exchange and information sharing.

[0023] In this embodiment, the warehousing management module uses RFID technology and barcode recognition algorithm to quickly identify and locate goods and automatically complete information collection and entry; among them, RFID technology is used to quickly identify and locate goods, which is measured by recognition accuracy and recognition distance indicators; the barcode recognition algorithm is based on image processing technology, involving image preprocessing, binarization, edge detection, and feature extraction steps.

[0024] In this embodiment, the outbound management module realizes automatic allocation and optimization of orders through order optimization algorithm and path planning algorithm, reduces errors caused by human factors, and improves outbound efficiency; wherein, the goal of the order optimization algorithm is to minimize order processing time and cost, and adopts linear programming and integer programming optimization methods; the path planning algorithm is used to determine the best path for goods from the storage location to the outbound port, and specifically adopts the shortest path algorithm in graph theory, including Dijkstra algorithm or Floyd-Warshall algorithm, through the adjacency matrix or adjacency list of the graph, and the calculation of path length.

[0025] In this embodiment, the inventory management module uses inventory management algorithms (such as ABC analysis, safety inventory model, economic order quantity EOQ model, etc.) and demand forecasting algorithms (such as time series analysis, regression analysis and neural network, etc.) to accurately manage the storage location, quantity and status information of goods and minimize the problems caused by inventory deviation; wherein the inventory management algorithm is ABC analysis, safety inventory model or economic order quantity EOQ model; specifically: (1) ABC analysis divides the goods into three categories: A, B, and C according to their value or importance. The classification criteria are based on the value and quantity ratios of the goods. (2) The safety stock model is used to determine how much inventory should be kept to avoid stockouts given demand uncertainty and replenishment lead time; the safety stock formula is: Safety stock = (maximum demand × maximum order cycle) - (average demand × average order cycle) (3) The economic order quantity (EOQ) model is used to determine the optimal quantity for each order to minimize the sum of ordering cost and holding cost. The EOQ formula is: EOQ = √ (2DS) / H Where D is the annual demand, S is the cost of each order, and H is the unit inventory holding cost.

[0026] In this embodiment, the data analysis module uses big data analysis algorithms and data mining algorithms to discover potential problems and opportunities and provide scientific decision-making basis for enterprises; among them, big data analysis algorithms include linear regression, logistic regression, decision tree and support vector machine.

[0027] In this embodiment, the automation equipment control module adopts an equipment scheduling algorithm and a path optimization algorithm to achieve centralized control and unified scheduling of various automation equipment, thereby improving equipment utilization and operating efficiency; among them, the equipment scheduling algorithm is used to determine the optimal working sequence and path of the automation equipment, specifically involving task allocation, time window constraints and path optimization.

[0028] In this embodiment, the security monitoring module uses an image recognition algorithm to promptly detect and handle various safety hazards to ensure the safe and stable operation of the warehousing scene; among them, the image recognition algorithm is used to monitor abnormal situations in the warehousing scene.

[0029] In this embodiment, the logistics distribution module transfers the goods to the logistics packing collection point through a specially designed cargo transfer cart, and realizes fast and accurate delivery of goods through a path optimization algorithm, thereby improving the logistics distribution efficiency.

[0030] In the present embodiment, the cargo transfer trolley is used in conjunction with a cargo support plate (1). The cargo support plate (1) is a rectangular plate-shaped structure, and support blocks (2) are respectively provided at the four top corners of its bottom surface. The body (3) of the cargo transfer trolley is a rectangular plate-shaped structure, and a mounting groove is provided in the middle of its surface. Support grooves corresponding to the four support blocks (2) are also provided on the surface. Wheels (4) are respectively installed at the four top corners of the bottom surface. A rotating disk (5) is provided in the mounting groove. A through strip is provided on the side of the rotating disk (5) and is transmission-connected to the motor (6). A lifting cylinder (7) is provided on the top surface. A bar (8) is provided on the upper end of the piston rod of the lifting cylinder (7). A buckle (9) matching the bar (8) is provided in the middle of the bottom surface of the cargo support plate (1). The top surface side edges of the transfer trolley are provided with reversible telescopic protective rods (10).

[0031] The technical means disclosed in the scheme of the present invention are not limited to the technical means disclosed in the above-mentioned implementation mode, but also include technical schemes composed of any combination of the above-mentioned technical features. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention, and these improvements and modifications are also regarded as the protection scope of the present invention.

Claims

1. A warehouse management system applied to intelligent logistics, characterized in that: It includes an incoming management module, an outgoing management module, an inventory management module, a data analysis module, an automated equipment control module, a safety monitoring module and a logistics distribution module; the incoming management module is responsible for the goods receiving, acceptance and shelving process; the outgoing management module is responsible for the goods picking, sorting, packaging and shipping; the inventory management module is used to realize real-time monitoring and management of existing goods in the warehouse; the data analysis module is used to realize the collection, integration and analysis of data in each link; the automated equipment control module is responsible for controlling and managing various automated equipment; the safety monitoring module is used to realize all-round real-time monitoring of the warehousing scene through various sensors and monitoring equipment; the logistics distribution module is responsible for the distribution planning and execution of goods.

2. A warehouse management system for intelligent logistics according to claim 1, characterized in that: The information transmission between modules is as follows: S1. Warehouse management module and inventory management module: The warehouse management module is responsible for receiving and putting the goods on the shelves at the designated location, and updating the inventory information in the inventory management module; The inventory management module monitors the inventory status of goods in real time and provides inventory warnings and replenishment suggestions for the warehousing management module; S2, outbound management module and inventory management module: the outbound management module picks and sorts goods from the inventory management module according to the order information, and updates the inventory information in the inventory management module; the inventory management module adjusts the inventory level according to the outbound situation; S3, Data analysis module and other modules: The data analysis module collects data from other modules and integrates and analyzes them. Through the analysis results, the data analysis module provides decision support and optimization suggestions for other modules. S4, automation equipment control module and storage / exit management module: the automation equipment control module is responsible for controlling and managing various automation equipment; the storage / exit management module controls and dispatches the automation equipment by calling the interface of the automation equipment control module; S5. Security monitoring module and other modules: The security monitoring module is responsible for monitoring the security of the storage scene and promptly discovering and handling potential safety hazards; other modules need to comply with the safety specifications and standards set by the security monitoring module during operation; S6. Logistics distribution module and outbound management module: The logistics distribution module is responsible for planning and executing the distribution of goods picked and sorted by the outbound management module; the two modules achieve fast and accurate distribution of goods through data exchange and information sharing.

3. A warehouse management system for intelligent logistics according to claim 2, characterized in that: The warehousing management module adopts RFID technology and barcode recognition algorithm to quickly identify and locate goods and automatically complete information collection and entry; among them, RFID technology is used to quickly identify and locate goods, which is measured by recognition accuracy and recognition distance indicators; the barcode recognition algorithm is based on image processing technology, involving image preprocessing, binarization, edge detection, and feature extraction steps.

4. A warehouse management system for intelligent logistics according to claim 2, characterized in that: The outbound management module realizes automatic allocation and optimization of orders through order optimization algorithm and path planning algorithm, reduces errors caused by human factors, and improves outbound efficiency; the goal of the order optimization algorithm is to minimize order processing time and cost, and adopts linear programming and integer programming optimization methods; the path planning algorithm is used to determine the best path for goods from the storage location to the outbound port, specifically adopting the shortest path algorithm in graph theory, including Dijkstra algorithm or Floyd-Warshall algorithm, through the adjacency matrix or adjacency list of the graph, and the calculation of path length.

5. A warehouse management system for intelligent logistics according to claim 2, characterized in that: The inventory management module uses inventory management algorithms and demand forecasting algorithms to accurately manage the storage location, quantity, and status information of goods, and minimize the problems caused by inventory deviations. Among them, the inventory management algorithm is ABC analysis, safety inventory model or economic order quantity EOQ model; specifically: (1) ABC analysis divides the goods into three categories: A, B, and C according to their value or importance. The classification criteria are based on the value and quantity ratios of the goods. (2) The safety stock model is used to determine how much inventory should be kept to avoid stockouts given demand uncertainty and replenishment lead time; the safety stock formula is: Safety stock = (maximum demand × maximum order cycle) - (average demand × average order cycle) (3) The economic order quantity (EOQ) model is used to determine the optimal quantity for each order to minimize the sum of ordering cost and holding cost. The EOQ formula is: EOQ = √ (2DS) / H Where D is the annual demand, S is the cost of each order, and H is the unit inventory holding cost.

6. A warehouse management system for intelligent logistics according to claim 2, characterized in that: The data analysis module adopts big data analysis algorithms and data mining algorithms to discover potential problems and opportunities and provide scientific decision-making basis for enterprises; among them, big data analysis algorithms include linear regression, logistic regression, decision tree and support vector machine.

7. A warehouse management system for intelligent logistics according to claim 2, characterized in that: The automation equipment control module adopts equipment scheduling algorithm and path optimization algorithm to realize centralized control and unified scheduling of various automation equipment, and improve equipment utilization and operation efficiency; among them, the equipment scheduling algorithm is used to determine the optimal working sequence and path of the automation equipment, specifically involving task allocation, time window constraints and path optimization.

8. A warehouse management system for intelligent logistics according to claim 2, characterized in that: The security monitoring module uses an image recognition algorithm to promptly detect and address various safety hazards and ensure the safe and stable operation of the warehousing scene; among them, the image recognition algorithm is used to monitor abnormal situations in the warehousing scene.

9. A warehouse management system for intelligent logistics according to claim 2, characterized in that: The logistics distribution module transfers the goods to the logistics packing collection point through a specially designed cargo transfer vehicle, and realizes fast and accurate delivery of goods through a path optimization algorithm, thereby improving the efficiency of logistics distribution.

10. A warehouse management system for intelligent logistics according to claim 9, characterized in that: The cargo transfer trolley is used in conjunction with a cargo support plate (1). The cargo support plate (1) is a rectangular plate-shaped structure, and support blocks (2) are respectively arranged at the four top corners of its bottom surface. The body (3) of the cargo transfer trolley is a rectangular plate-shaped structure, and a mounting groove is arranged in the middle of its surface. Support grooves corresponding to the four support blocks (2) are also arranged on the surface. Wheels (4) are respectively installed at the four top corners of the bottom surface. A rotating disk (5) is arranged in the mounting groove. A through strip is arranged on the side of the rotating disk (5) and is transmission-connected to the motor (6). A lifting cylinder (7) is arranged on the top surface. A bar (8) is arranged on the upper end of the piston rod of the lifting cylinder (7). A buckle (9) matched with the barb (8) is arranged in the middle of the bottom surface of the cargo support plate (1). The top surface side edges of the transfer trolley are each provided with a reversible telescopic protective rod (10).

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