Storehouse intelligent distribution management method and system

Abstract

The invention discloses a warehouse intelligent distribution management method and system. The system comprises a data acquisition module, a data analysis and processing module, an intelligent distribution algorithm module, an automatic execution module and a real-time monitoring and adjusting module. According to the warehouse intelligent distribution management method and system, automatic and intelligent means can be realized, the cargo processing time is greatly shortened, and the warehouse-in and warehouse-out efficiency and accuracy are improved; the manpower demand is reduced, the manual error rate is reduced, the storage layout is optimized, and the space utilization rate is improved, so that the overall operation cost is reduced; market changes and customer demands can be rapidly adapted, and storage strategies and distribution schemes can be flexibly adjusted; a comprehensive data analysis report and a real-time monitoring function are provided, managers are helped to make scientific decisions, and the overall management level of the warehouse is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent distribution management of warehouses, and in particular to a method and system for intelligent distribution management of warehouses. Background Art

[0002] With the development of the enterprise, the expansion of the production line, and the growth of product orders, the requirements for warehouses are getting higher and higher. Continuing to use this inefficient warehouse management model will affect the normal operation and development of the enterprise. Therefore, enterprises are in urgent need of introducing a modern intelligent distribution management system to improve the operating procedures and improve the level of warehouse management. Generally, the precise warehouse process generally includes receiving, shelving, picking, replenishing, shipping, and inventory. The cost of building warehouses by enterprises is high, and a unified warehouse on the platform is established.

[0003] The existing warehouse management has problems such as low efficiency, high error rate and high cost. Summary of the invention

[0004] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method and system for intelligent distribution management of warehouses, which aims to solve the problems of low efficiency, high error rate, high cost and the like in warehouse management.

[0005] In order to achieve the above-mentioned purpose of the invention, the technical solution adopted by the present invention is: a method and system for intelligent distribution management of warehouses, including a data acquisition module, a data analysis and processing module, an intelligent distribution algorithm module, an automatic execution module, and a real-time monitoring and adjustment module.

[0006] Furthermore, the data acquisition module includes a real-time environmental data acquisition unit, a cargo status and position data acquisition unit, and an operation process data acquisition unit. The real-time environmental data acquisition unit includes a temperature sensor, a humidity sensor, and a light sensor. The sensors are installed in the warehouse to collect environmental data in the warehouse in real time; the cargo status and position data acquisition unit includes the use of two-dimensional code recognition technology, through a two-dimensional code scanner, for identifying the two-dimensional code information on the cargo, uniquely identifying the cargo in the warehouse, and tracking its status and location information in real time; the operation process data acquisition unit includes registering and recording the time, personnel, and cargo information of operations such as warehousing, outbound storage, inventory, and transfer in the warehouse.

[0007] Furthermore, the data analysis and processing module includes a data cleaning and preprocessing unit, a data algorithm analysis unit, and a data visualization unit. The data cleaning and preprocessing unit includes cleaning the collected raw data, removing noise, duplication and erroneous data, and performing necessary format conversion and standardization processing to ensure the quality and consistency of the data. The data algorithm analysis unit includes using statistical algorithms and techniques to conduct in-depth analysis of the processed data and extract valuable information and patterns. The data visualization unit includes making matching charts and report templates for the data to intuitively display the data results.

[0008] Furthermore, the intelligent allocation algorithm module includes sales and profit analysis, storage condition matching and space optimization algorithm. The sales and profit analysis includes that based on the collected product information, especially sales and profit data, the system can perform intelligent analysis to evaluate the market value and storage priority of different products. The storage condition matching includes that according to the storage condition requirements of the product, the system can automatically match suitable warehouse areas or cargo locations to ensure the suitability of the product storage environment. The space optimization algorithm mainly uses genetic algorithms, and the system can intelligently allocate warehouse space, optimize storage layout, reduce space waste, and improve storage efficiency.

[0009] Furthermore, the automation execution module includes a task receiving and parsing unit and a path planning and navigation unit. The task receiving and parsing unit mainly receives task instructions from the intelligent allocation algorithm module, including information such as product type, quantity, storage location, etc., and then parses these instructions to determine the specific operations that need to be performed; the path planning and navigation unit mainly plans the optimal driving path for the automation equipment based on the task requirements, and guides the equipment to reach the destination accurately through navigation technology.

[0010] Furthermore, the real-time monitoring and adjustment module includes an execution operation and monitoring unit, a data feedback and update unit, and an abnormality detection and processing unit; the execution operation and monitoring unit includes that after driving to the specified position, the automated equipment starts to execute specific operations such as grabbing products, putting them into shelves, and sorting them. At the same time, the system monitors the execution process in real time through sensors and cameras to ensure the accuracy and safety of the operation; the data feedback and update unit includes that after the operation is completed, the automated equipment feeds back information such as operation time and success or failure to the system, and the system updates the warehouse management database according to the feedback results, and records the latest location and status of the product; the abnormality detection and processing unit can mainly monitor the operating status of the equipment in real time and monitor the temperature and humidity of the warehouse. Once an abnormal situation is found, the system can immediately issue an alarm, and the system can automatically switch to backup equipment or notify maintenance personnel to handle it.

[0011] The beneficial effects of the present invention are:

[0012] A method and system for intelligent distribution management of warehouses of the present invention mainly comprises a data acquisition module, a data analysis and processing module, an intelligent distribution algorithm module, an automatic execution module and a real-time monitoring and adjustment module, which realize data interaction and collaborative work through a high-speed communication network, thereby realizing automation and intelligent means, greatly shortening the cargo processing time, and improving the efficiency and accuracy of warehousing and outgoing warehouses; reducing manpower requirements, lowering the human error rate, optimizing the storage layout, and improving the space utilization rate, thereby reducing the overall operating cost; being able to quickly adapt to market changes and customer needs, and flexibly adjusting storage strategies and distribution plans; providing comprehensive data analysis reports and real-time monitoring functions, helping managers make scientific decisions, and improving the overall management level of warehouses. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 It is a general working flow diagram of a method and system for intelligent distribution management of warehouses of the present invention;

[0014] Figure 2 A data acquisition module flow chart of a method and system for intelligent warehouse allocation management of the present invention;

[0015] Figure 3 A data analysis and processing module flow chart of a method and system for intelligent warehouse allocation management of the present invention;

[0016] Figure 4 A flow chart of an intelligent allocation algorithm module of a method and system for intelligent allocation management of warehouses of the present invention;

[0017] Figure 5 A flowchart of an automated execution module of a method and system for intelligent warehouse allocation management of the present invention;

[0018] Figure 6 This is a flow chart of the real-time monitoring and adjustment module of a method and system for intelligent warehouse allocation management of the present invention. DETAILED DESCRIPTION

[0019] The specific implementation of the present invention is further described below in conjunction with the accompanying drawings, wherein the same components are represented by the same reference numerals.

[0020] It should be noted that the words "front", "rear", "left", "right", "up" and "down" used in the following description refer to directions in the drawings, and the words "inside" and "outside" refer to directions toward or away from the geometric center of a specific component, respectively.

[0021] In order to make the contents of the present invention more clearly understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention.

[0022] like Figures 1 to 6 As shown, a method and system for intelligent distribution management of warehouses include a data acquisition module, a data analysis and processing module, an intelligent distribution algorithm module, an automatic execution module, and a real-time monitoring and adjustment module.

[0023] The data acquisition module includes a real-time environmental data acquisition unit, a cargo status and location data acquisition unit, and an operation process data acquisition unit. The real-time environmental data acquisition unit includes a temperature sensor, a humidity sensor, and a light sensor. The sensors are installed in the warehouse to collect the environmental data in the warehouse in real time; the cargo status and location data acquisition unit includes the use of QR code recognition technology, through a QR code scanner, to identify the QR code information on the cargo, uniquely identify the cargo in the warehouse, and track its status and location information in real time; the operation process data acquisition unit includes registering and recording the time, personnel, and cargo information of operations such as warehousing, outbound storage, inventory, and transfer in the warehouse.

[0024] Through the above solution, the basis for warehouse environment monitoring, cargo tracking, operation process management and other functions can be realized. At the same time, through the data acquisition module, the system can grasp the various operational indicators in the warehouse in real time and provide data support for intelligent allocation, scheduling and optimization.

[0025] The data analysis and processing module includes a data cleaning and preprocessing unit, a data algorithm analysis unit, and a data visualization unit. The data cleaning and preprocessing unit includes cleaning the collected raw data, removing noise, duplicate and erroneous data, and performing necessary format conversion and standardization processing to ensure data quality and consistency. The data algorithm analysis unit includes using statistical algorithms and techniques to conduct in-depth analysis of the processed data and extract valuable information and patterns. The data visualization unit includes making matching charts and report templates for the data to intuitively display the data results.

[0026] Through the above solution, real-time data in the warehouse is obtained through the data acquisition module, the collected data is cleaned and preprocessed to ensure data quality, and the data in the warehouse is deeply mined and analyzed to provide strong support for the intelligent allocation, optimized management and decision-making support of the warehouse.

[0027] The intelligent allocation algorithm module includes sales and profit analysis, storage condition matching and space optimization algorithm. Sales and profit analysis includes based on the collected product information, especially sales and profit data, the system can perform intelligent analysis to evaluate the market value and storage priority of different products. Storage condition matching includes according to the storage condition requirements of the product, the system can automatically match the appropriate warehouse area or cargo location to ensure the suitability of the product storage environment. The space optimization algorithm mainly uses genetic algorithms, through which the system can intelligently allocate warehouse space, optimize storage layout, reduce space waste and improve storage efficiency.

[0028] Through the above solution, the storage allocation plan can be automatically adjusted according to real-time changes such as sales fluctuations of products in the warehouse and changes in storage conditions to maintain the optimal state.

[0029] The automation execution module includes a task receiving and parsing unit and a path planning and navigation unit. The task receiving and parsing unit mainly receives task instructions from the intelligent allocation algorithm module, including information such as product type, quantity, storage location, etc., and then parses these instructions to determine the specific operations that need to be performed; the path planning and navigation unit mainly plans the optimal driving path for the automated equipment based on the task requirements, and guides the equipment to reach the destination accurately through navigation technology.

[0030] Through the above solution, operations such as product handling, storage, and sorting can be automatically completed.

[0031] The real-time monitoring and adjustment module includes an execution operation and monitoring unit, a data feedback and update unit, and an anomaly detection and processing unit; the execution operation and monitoring unit includes that after driving to the designated position, the automated equipment starts to perform specific operations such as grabbing products, putting them into shelves, and sorting them. At the same time, the system monitors the execution process in real time through sensors and cameras to ensure the accuracy and safety of the operation; the data feedback and update unit includes that after the operation is completed, the automated equipment feeds back information such as operation time and success or failure to the system. The system updates the warehouse management database based on the feedback results and records the latest location and status of the product; the anomaly detection and processing unit can mainly monitor the operating status of the equipment in real time and monitor the temperature and humidity of the warehouse. Once an abnormal situation is found, the system can immediately issue an alarm. At the same time, the system can automatically switch to backup equipment or notify maintenance personnel to handle it.

[0032] The working principle of the patent of this invention is that each module realizes data interaction and collaborative work through a high-speed communication network, thereby realizing automation and intelligent means, greatly shortening the cargo processing time, and improving the efficiency and accuracy of warehousing and outbound operations; reducing manpower requirements, reducing human error rates, optimizing storage layout, and improving space utilization, thereby reducing overall operating costs; being able to quickly adapt to market changes and customer needs, and flexibly adjust storage strategies and allocation plans; providing comprehensive data analysis reports and real-time monitoring functions to help managers make scientific decisions and improve the overall management level of the warehouse.

[0033] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

[0034] The data acquisition module is used to collect real-time environmental data, cargo status and location data, and operation process data in the warehouse, providing strong support for the intelligent allocation and management of the system.

Claims

1. A method and system for intelligent warehouse allocation management, characterized in that: It includes data acquisition module, data analysis and processing module, intelligent allocation algorithm module, automatic execution module and real-time monitoring and adjustment module.

2. A method and system for intelligent warehouse allocation management according to claim 1, characterized in that: The data acquisition module includes a real-time environmental data acquisition unit, a cargo status and position data acquisition unit, and an operation process data acquisition unit. The real-time environmental data acquisition unit includes a temperature sensor, a humidity sensor, and a light sensor. The sensors are installed in the warehouse to collect the environmental data in the warehouse in real time; the cargo status and position data acquisition unit includes using two-dimensional code recognition technology, through a two-dimensional code scanning gun, to identify the two-dimensional code information on the cargo, uniquely identify the cargo in the warehouse, and track its status and position information in real time; the operation process data acquisition unit includes registering and recording the time, personnel, and cargo information of operations such as warehousing, outbound storage, inventory, and transfer in the warehouse.

3. A method and system for intelligent warehouse allocation management according to claim 1, characterized in that: The data analysis and processing module includes a data cleaning and preprocessing unit, a data algorithm analysis unit, and a data visualization unit. The data cleaning and preprocessing unit includes cleaning the collected raw data, removing noise, duplication and erroneous data, and performing necessary format conversion and standardization processing to ensure the quality and consistency of the data. The data algorithm analysis unit includes using statistical algorithms and techniques to conduct in-depth analysis of the processed data and extract valuable information and patterns. The data visualization unit includes making matching charts and report templates for the data to intuitively display the data results.

4. A method and system for intelligent warehouse allocation management according to claim 1, characterized in that: The intelligent allocation algorithm module includes sales and profit analysis, storage condition matching and space optimization algorithm. The sales and profit analysis includes that based on the collected product information, especially sales and profit data, the system can perform intelligent analysis to evaluate the market value and storage priority of different products. The storage condition matching includes that according to the storage condition requirements of the product, the system can automatically match suitable warehouse areas or cargo locations to ensure the suitability of the product storage environment. The space optimization algorithm mainly uses genetic algorithms, and the system can intelligently allocate warehouse space, optimize storage layout, reduce space waste, and improve storage efficiency.

5. A method and system for intelligent warehouse allocation management according to claim 1, characterized in that: The automation execution module includes a task receiving and parsing unit and a path planning and navigation unit. The task receiving and parsing unit mainly receives task instructions from the intelligent allocation algorithm module, including information such as product type, quantity, storage location, etc., and then parses these instructions to determine the specific operations that need to be performed; the path planning and navigation unit mainly plans the optimal driving path for the automation equipment based on the task requirements, and guides the equipment to reach the destination accurately through navigation technology.

6. A method and system for intelligent warehouse allocation management according to claim 1, characterized in that: The real-time monitoring and adjustment module includes an execution operation and monitoring unit, a data feedback and update unit, and an abnormality detection and processing unit; the execution operation and monitoring unit includes that after driving to the specified position, the automated equipment starts to perform specific operations such as grabbing products, putting them into shelves, and sorting. At the same time, the system monitors the execution process in real time through sensors and cameras to ensure the accuracy and safety of the operation; the data feedback and update unit includes that after the operation is completed, the automated equipment feeds back information such as operation time and success to the system, and the system updates the warehouse management database based on the feedback results to record the latest location and status of the product; the abnormality detection and processing unit can mainly monitor the operating status of the equipment in real time and monitor the temperature and humidity of the warehouse. Once an abnormal situation is found, the system can immediately issue an alarm, and the system can automatically switch to backup equipment or notify maintenance personnel to handle it.

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