Intelligent warehouse management method and system based on Internet of Things

Abstract

The invention provides an intelligent warehouse management method and system based on the Internet of Things, and relates to the technical field of the Internet of Things, and the method comprises the steps: S1, obtaining the state information of a material in a warehouse in real time; s2, performing real-time analysis and processing on the material state information acquired in real time to obtain related material states, and extracting key information of the material states; s3, according to the key information of the material state, making a real-time decision on warehouse internal material management; s4, the state of materials in the warehouse is monitored and managed in real time according to the real-time decision result; according to the method, many repetitive and time-intensive tasks can be automatically processed, so that the warehousing efficiency and productivity are remarkably improved, and meanwhile, the warehousing accuracy and quality control can be improved by detecting and correcting errors in real time, so that the intelligent warehousing system is more efficient and intelligent.

Description

Technical Field

[0001] The present invention relates to the technical field of Internet of Things, and in particular to an intelligent warehousing management method and system based on the Internet of Things. Background Art

[0002] Warehousing is the temporary storage of products and goods during the production and circulation of products due to order pre-positioning or market forecast pre-positioning. It is a comprehensive place that reflects the status of factory material activities, a transit station connecting production, supply and sales, and plays an important auxiliary role in promoting production and improving efficiency. It is the integration of logistics, information flow and document flow. With the development of the times, the new generation of information technology represented by the Internet of Things has become the main driving force for rebuilding the competitive advantages of industrial basic industries. Intelligent warehousing based on the Internet of Things realizes the scientific and standardized management of the entire life cycle of fully automated materials from warehousing, borrowing, verification, maintenance, repair, return, deactivation, etc. to scrapping. In this way, it helps enterprises to quickly and conveniently complete the upgrade and transformation of the Internet of Things of material warehouses, avoid the problems of account-material discrepancies, information islands, and physical loss in warehouses caused by the breakpoints between information systems and physical data, and realize efficient in-and-out warehouse management, automatic inventory, easy collection, cloud query, IoT perception reminders, real-time large-screen monitoring and other needs, and assist enterprises to improve management efficiency and standardization. In the process of intelligent warehousing, RFID is a label attached to a single commodity or package, which is used to transmit data to a central database. All data is sent via electromagnetic signals. Goods with RFID can be scanned at a distance for easy storage, retrieval and management.

[0003] However, when the existing technology is used for large quantities of periodic outbound and inbound operations, the information records from the material entry and exit to the distribution process are often completed by manual recording, which will cause some difficult to solve problems: difficulty in identifying materials; there are many types of materials stored in the warehouse, and it often takes a lot of manpower to find materials; warehouse operations lack informatization; in warehousing operations, the business of most companies still relies on personnel memory or paper documents for management and record keeping, and the accuracy of the business is not guaranteed, which easily leads to discrepancies between accounts and materials; it is difficult to obtain and change material information in real time, etc., resulting in low efficiency of warehouse management, inaccurate management data, and often very high costs. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent warehouse management method and system based on the Internet of Things, which can solve the problems mentioned in the background technology.

[0005] The technical solution of the present invention is:

[0006] In a first aspect, the present application provides an intelligent warehouse management method based on the Internet of Things, which comprises the following steps:

[0007] S1. Obtain material status information in real time within the warehouse;

[0008] S2. Analyze and process the material status information obtained in real time to obtain relevant material status and extract key information of the material status;

[0009] S3. Make real-time decisions on material management within the warehouse based on key information on material status;

[0010] S4. Monitor and manage the material status inside the warehouse in real time through real-time decision-making results.

[0011] Further, step S1 includes:

[0012] S11. Connect the material equipment inside the warehouse to the Internet through wireless sensors;

[0013] S12. Use the Internet to assign a unique IP address to each material device;

[0014] S13. Set the transmission protocol to obtain the status information of the material in real time.

[0015] Furthermore, in step S1, the above-mentioned status information includes three-dimensional position data, quantity and quality of the material.

[0016] Further, step S2 includes:

[0017] S21. Store the material status information acquired in real time on the big data platform;

[0018] S22. Use the analysis tools on the big data platform to analyze and process the material status information in real time, extract key information, and store the analysis results in the database.

[0019] Further, step S3 includes:

[0020] S31. Use artificial intelligence algorithms to intelligently analyze key information on material status and make inventory management decisions;

[0021] S32. Send the inventory management decision to the material equipment inside the warehouse for intelligent inventory management.

[0022] Furthermore, step S4 further includes:

[0023] A mathematical model of material status change is established based on the material status inside the warehouse, and a material status change curve is drawn according to the mathematical model, and real-time monitoring and management are performed through the material status change curve;

[0024] Among them, the mathematical model of the above material state change is:

[0025]

[0026] Where S(t) represents the material inventory at time t, S(0) represents the initial material inventory, v(t) represents the material inflow rate at time t, and dt represents the time interval.

[0027] Furthermore, the scheduling strategy function for real-time monitoring and management through the change curve of material status is:

[0028]

[0029] In the formula, represents the priority function when task j conflicts with task i, It indicates that the total working time of task j is extended due to the later execution of task x than task y. j Represents the total number of hours originally required to complete task j.

[0030] In a second aspect, the present application provides an intelligent warehouse management system based on the Internet of Things, comprising:

[0031] Information acquisition module, used to obtain material status information in real time within the warehouse;

[0032] A processing module is used to analyze and process the material status information obtained in real time to obtain relevant material status and extract key information of the material status;

[0033] The decision-making module is used to make real-time decisions on material management within the warehouse based on key information about material status;

[0034] The management module is used to monitor and manage the material status inside the warehouse in real time through real-time decision-making results.

[0035] In a third aspect, the present application provides an electronic device, including:

[0036] A memory for storing one or more programs;

[0037] processor;

[0038] When the one or more programs are executed by the processor, an intelligent warehouse management method based on the Internet of Things as described in any one of the first aspects is implemented.

[0039] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements an intelligent warehousing management method based on the Internet of Things as described in any one of the first aspects above.

[0040] Compared with the prior art, the present invention has at least the following advantages or beneficial effects:

[0041] (1) The present invention provides an intelligent warehousing management method and system based on the Internet of Things. By using the Internet of Things to obtain material status information in real time inside the warehouse for analysis and processing, many repetitive and time-intensive tasks such as inventory management, cargo sorting and distribution route planning can be automatically processed, thereby significantly improving warehousing efficiency and productivity. At the same time, the accuracy and quality control of warehousing can be significantly improved by real-time error detection and correction, making the intelligent warehousing system more efficient and intelligent.

[0042] (2) The present invention uses artificial intelligence algorithms to intelligently analyze key information on material status to make inventory management decisions, making data analysis capabilities more powerful. It can use the Internet of Things and machine learning technologies to analyze historical sales data and market trends, accurately predict future demand, and help companies make better inventory decisions. Real-time inventory management will be more intelligent and adaptive;

[0043] (3) By improving efficiency, reducing errors and optimizing inventory management, artificial intelligence can help companies save a lot of operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0045] Figure 1 A step diagram of an intelligent warehouse management method based on the Internet of Things of the present invention;

[0046] Figure 2 The figure is a schematic structural block diagram of an electronic device of the present invention.

[0047] Icon: 101, memory; 102, processor; 103, communication interface. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0049] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0050] It should be noted that similar reference numerals and letters denote similar items in the following drawings, and therefore, once an item is defined in one drawing, further definition and explanation thereof is not required in subsequent drawings.

[0051] It should be noted that, in this article, the term "comprises" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprises..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0052] In conjunction with the accompanying drawings, some embodiments of the present application are described in detail below. In the absence of conflict, the following embodiments and features in the embodiments can be combined with each other.

[0053] Example 1

[0054] See also Figure 1 , Figure 1 The figure shows a step diagram of an intelligent warehouse management method and system based on the Internet of Things provided in an embodiment of the present application.

[0055] In a first aspect, the present application provides an intelligent warehouse management method based on the Internet of Things, which comprises the following steps:

[0056] S1. Obtain material status information in real time within the warehouse;

[0057] S2. Analyze and process the material status information obtained in real time to obtain relevant material status and extract key information of the material status;

[0058] S3. Make real-time decisions on material management within the warehouse based on key information on material status;

[0059] S4. Monitor and manage the material status inside the warehouse in real time through real-time decision-making results.

[0060] As a preferred implementation, step S1 includes:

[0061] S11. Connect the material equipment inside the warehouse to the Internet through wireless sensors;

[0062] S12. Use the Internet to assign a unique IP address to each material device;

[0063] S13. Set the transmission protocol to obtain the status information of the material in real time.

[0064] Among them, the material equipment inside the warehouse includes containers, shelves, trucks, etc., and the wireless sensors include RFID, NFC, BLE, etc.

[0065] As a preferred implementation, in step S1, the status information includes three-dimensional position data, quantity and quality of the material.

[0066] As a preferred implementation, step S2 includes:

[0067] S21. Store the material status information acquired in real time on the big data platform;

[0068] S22. Use the analysis tools on the big data platform to analyze and process the material status information in real time, extract key information, and store the analysis results in the database.

[0069] Among them, big data platforms include Hadoop, Spark, etc., and analysis tools on the big data platforms include Hive, Pig, MapReduce, etc.

[0070] As a preferred implementation, step S3 includes:

[0071] S31. Use artificial intelligence algorithms to intelligently analyze key information on material status and make inventory management decisions;

[0072] S32. Send the inventory management decision to the material equipment inside the warehouse for intelligent inventory management.

[0073] It should be noted that the artificial intelligence algorithms used in this embodiment include decision trees, neural networks, support vector machines, etc.

[0074] As a preferred implementation, step S4 further includes:

[0075] A mathematical model of material status change is established based on the material status inside the warehouse, and a material status change curve is drawn according to the mathematical model, and real-time monitoring and management are performed through the material status change curve;

[0076] Among them, the mathematical model of material state change is:

[0077]

[0078] Where S(t) represents the material inventory at time t, S(0) represents the initial material inventory, v(t) represents the material inflow rate at time t, and dt represents the time interval.

[0079] As a preferred implementation, the scheduling strategy function for real-time monitoring and management through the change curve of material status is:

[0080]

[0081] In the formula, represents the priority function when task j conflicts with task i, It indicates that the total working time of task j is extended due to the later execution of task x than task y. j Represents the total number of hours originally required to complete task j.

[0082] It should be noted that when scheduling tasks based on the real-time decision results of material management, it is necessary to schedule and execute tasks according to the task creation time at that time. However, the method of scheduling and executing tasks according to the task creation time is very inefficient. In order to maximize the utilization of equipment, this embodiment uses the ratio of task delay time to total task working hours to measure the loss of tasks to establish a scheduling strategy function based on the actual situation of warehouse operation, thereby realizing real-time scheduling of tasks according to changes in material status; therefore, this embodiment optimizes the system task scheduling method from the perspective of efficiency improvement, and can propose a reasonable staggered task allocation strategy in a warehouse with limited resources, so as to reduce the overall task completion time.

[0083] In a second aspect, the present application provides an intelligent warehouse management system based on the Internet of Things, comprising:

[0084] Information acquisition module, used to obtain material status information in real time within the warehouse;

[0085] A processing module is used to analyze and process the material status information obtained in real time to obtain relevant material status and extract key information of the material status;

[0086] The decision-making module is used to make real-time decisions on material management within the warehouse based on key information about material status;

[0087] The management module is used to monitor and manage the material status inside the warehouse in real time through real-time decision-making results.

[0088] An embodiment of the present application provides an intelligent warehouse management system based on the Internet of Things. The information acquisition module uses the Internet of Things to acquire the status information of materials in real time inside the warehouse, and analyzes and processes the information through the processing module, so that the intelligent warehouse system is more efficient and intelligent, and the real-time inventory management will be more accurate and real-time; then, the decision-making module uses the artificial intelligence algorithm to perform intelligent analysis on the key information of the material status to make inventory management decisions; finally, the management module establishes a mathematical model of the material status change based on the real-time decision results to monitor and manage the warehouse, so that the intelligent decision-making ability is more powerful, and the real-time inventory management will be more intelligent and efficient.

[0089] Example 2

[0090] See also Figure 2 , Figure 2 A schematic structural block diagram of an electronic device provided in an embodiment of the present application.

[0091] An electronic device includes a memory 101, a processor 102 and a communication interface 103, wherein the memory 101, the processor 102 and the communication interface 103 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The memory 101 can be used to store software programs and modules, and the processor 102 executes various functional applications and data processing by executing the software programs and modules stored in the memory 101. The communication interface 103 can be used to communicate signaling or data with other node devices.

[0092] Among them, the memory 101 can be, but is not limited to, a random access memory (RAM), a read only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable read-only memory (EEPROM), etc.

[0093] The processor 102 may be an integrated circuit chip with signal processing capability. The processor 102 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0094] It is understood that the structure shown in the figure is only for illustration, and an intelligent warehouse management method and system based on the Internet of Things may also include more or fewer components than those shown in the figure, or have a different configuration than those shown in the figure. Each component shown in the figure may be implemented by hardware, software or a combination thereof.

[0095] In the embodiments provided in the present application, it should be understood that the disclosed method can also be implemented in other ways. The embodiments described above are merely schematic, for example, the flowchart or block diagram in the accompanying drawings shows the possible implementation architecture, functions and operations of the method and computer program product according to multiple embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment or a part of a code, and the module, a program segment or a part of a code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two consecutive boxes can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or the flowchart, and the combination of the boxes in the block diagram and / or the flowchart can be implemented with a dedicated hardware-based system that performs a specified function or action, or can be implemented with a combination of dedicated hardware and computer instructions.

[0096] In addition, the functional modules in the various embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.

[0097] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0098] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

[0099] It will be apparent to those skilled in the art that the present application is not limited to the details of the exemplary embodiments described above, and that the present application can be implemented in other specific forms without departing from the spirit or essential features of the present application. Therefore, the embodiments should be considered exemplary and non-limiting in all respects, and the scope of the present application is defined by the appended claims rather than the above description, and it is intended that all changes falling within the meaning and scope of the equivalent elements of the claims be included in the present application. Any reference numeral in a claim should not be considered as limiting the claim to which it relates.

Claims

1. An intelligent warehouse management method based on the Internet of Things, characterized in that: The following steps are involved: S1. Obtain material status information in real time within the warehouse; S2. Analyze and process the material status information obtained in real time to obtain relevant material status and extract key information of the material status; S3. Make real-time decisions on material management within the warehouse based on key information on material status; S4. Monitor and manage the material status inside the warehouse in real time through real-time decision-making results.

2. The intelligent warehouse management method based on the Internet of Things as claimed in claim 1, characterized in that: Step S1 includes: S11. Connect the material equipment inside the warehouse to the Internet through wireless sensors; S12. Use the Internet to assign a unique IP address to each material device; S13. Set the transmission protocol to obtain the status information of the material in real time.

3. The intelligent warehouse management method based on the Internet of Things as claimed in claim 2, characterized in that: In step S1, the status information includes three-dimensional position data, quantity and quality of the material.

4. The intelligent warehouse management method based on the Internet of Things as claimed in claim 1, characterized in that: Step S2 includes: S21. Store the material status information acquired in real time on the big data platform; S22. Use the analysis tools on the big data platform to analyze and process the material status information in real time, extract key information, and store the analysis results in the database.

5. The intelligent warehouse management method based on the Internet of Things as claimed in claim 1, characterized in that: Step S3 includes: S31. Use artificial intelligence algorithms to intelligently analyze key information on material status and make inventory management decisions; S32. Send the inventory management decision to the material equipment inside the warehouse for intelligent inventory management.

6. The intelligent warehouse management method based on the Internet of Things as claimed in claim 1, characterized in that: Step S4 also includes: A mathematical model of material status change is established based on the material status inside the warehouse, and a material status change curve is drawn according to the mathematical model, and real-time monitoring and management are performed through the material status change curve; Among them, the mathematical model of the material state change is: S(t)=S(0)+∫0 t υ(t)dt Where S(t) represents the material inventory at time t, S(0) represents the initial material inventory, υ(t) represents the material inflow rate at time t, and dt represents the time interval.

7. The intelligent warehouse management method based on the Internet of Things as claimed in claim 6, characterized in that: The scheduling strategy function for real-time monitoring and management through the change curve of material status is: In the formula, represents the priority function when task j conflicts with task i, It indicates that task x is executed later than task y, which leads to the extension of the total working hours of task j. Dj indicates the total working hours originally required to complete task j.

8. An intelligent warehouse management system based on the Internet of Things, characterized in that: include: Information acquisition module, used to obtain material status information in real time within the warehouse; A processing module is used to analyze and process the material status information obtained in real time to obtain relevant material status and extract key information of the material status; The decision-making module is used to make real-time decisions on material management within the warehouse based on key information about material status; The management module is used to monitor and manage the material status inside the warehouse in real time through real-time decision-making results.

9. An electronic device, characterized in that: include: A memory for storing one or more programs; processor; When the one or more programs are executed by the processor, an intelligent warehousing management method based on the Internet of Things as described in any one of claims 1-7 is implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, an intelligent warehousing management method based on the Internet of Things as described in any one of claims 1 to 7 is implemented.

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