Intelligent warehouse management system based on block chain

Abstract

The invention discloses an intelligent warehouse management system based on a block chain, and the system comprises a data collection module which collects the basic information, warehouse-in and warehouse-out time, position information, and state information data of goods; the block chain storage module is used for constructing and storing the data acquired from the data acquisition module and key information generated by the system by adopting a distributed account book technology; the intelligent contract module is used for presetting a plurality of business rules and operation conditions, and automatically triggering corresponding operation when the system monitors that an event meeting the preset conditions occurs; the method has the beneficial effects that real-time synchronization and automatic verification of the data are realized through a block chain technology, human intervention and data deviation are reduced, and the accuracy and reliability of the data are improved; the block chain technology realizes data intercommunication and sharing between different systems, breaks through information islands, improves the utilization efficiency of data and the accuracy of decision, and enhances the supply chain cooperation efficiency.

Description

Technical Field

[0001] The present invention belongs to the technical field of intelligent warehouse management, and specifically relates to an intelligent warehouse management system based on blockchain. Background Art

[0002] Smart warehouse management is a model that uses advanced technologies such as the Internet of Things, big data, artificial intelligence, and automated equipment to intelligently manage and optimize the entire process of goods storage, sorting, and distribution in the warehouse. It breaks the limitations of traditional warehouses that rely on manual operations, and realizes the automation, informatization, and intelligence of warehousing operations through technological integration, greatly improving warehousing efficiency, reducing costs, and enhancing management accuracy.

[0003] Patent publication number CN110503362A discloses a blockchain-based smart warehouse management method and system, comprising at least one smart warehouse, a terminal device, and a remote control terminal. Each smart warehouse manages multiple items, and the remote control terminal includes an information collection module configured to collect traceability information for each of the multiple items currently managed in the smart warehouse; a management module configured to establish a traceability center based on the traceability information of each item and manage the traceability information of the traceability center through a pre-established blockchain storage mechanism; and an information transmission module configured to receive an information search instruction from the terminal device for a specified item in the smart warehouse, retrieve the traceability information of the specified item from the traceability center based on the information search instruction, and transmit the traceability information to the terminal device for display. However, this existing technology primarily focuses on item traceability information management and has shortcomings in real-time data synchronization, automatic verification, automated operation of smart contracts, and data interoperability and sharing between systems. It is difficult to fully meet the needs of efficient and accurate management of modern smart warehouses. Summary of the Invention

[0004] The purpose of this invention is to provide a blockchain-based intelligent warehouse management system, which integrates blockchain technology with intelligent warehouse management to achieve real-time synchronization, automatic verification and secure sharing of data, improve the efficiency and accuracy of warehouse management, reduce labor costs, enhance supply chain collaboration efficiency, and ensure the transparency and traceability of goods management.

[0005] To achieve the above objectives, the present invention provides the following technical solutions: a blockchain-based intelligent warehouse management system, comprising Data collection module, which collects basic information of goods, entry and exit time, location information, and status information; The blockchain storage module is built using distributed ledger technology to store data obtained from the data acquisition module and key information generated by the system; The smart contract module pre-sets multiple business rules and operating conditions. When the system detects an event that meets the preset conditions, it automatically triggers the corresponding action. The data analysis and optimization module uses big data analysis to analyze the data in the blockchain storage module and intelligently optimize warehouse operations; System interaction module, which enables data communication and sharing with external systems; User management module, which performs authority management and identity authentication for various users using this system; The early warning and monitoring module monitors various indicators and operating status in the warehouse in real time and issues early warning information when abnormal situations occur; The automation equipment control module is connected to the automation equipment in the warehouse and controls the operation of the automation equipment according to the system's instructions; The data synchronization and verification module uses blockchain technology to achieve real-time data synchronization and automatically verify the collected data; The visualization module displays the warehouse's operational data and status information in a visual form.

[0006] As a preferred technical solution of the present invention, the system interaction module is a submodule of the above modules, which adopts standardized data interface and communication protocol to connect with the systems, logistics distribution systems and financial systems of upstream and downstream enterprises in the supply chain.

[0007] As a preferred technical solution of the present invention, a distributed ledger technology is used to store data obtained from the data acquisition module and key information generated by the system. The specific implementation method is as follows: After the data collection module collects basic information about the goods and the time of entry and exit of the warehouse, it first cleans the data to remove duplicate and erroneous data, and then standardizes the data according to a unified data format; Use hash algorithm to encrypt the pre-processed data; The encrypted data is grouped in chronological order, with each group of data forming a block; The generated blocks are synchronized to each node in the system through the P2P network. Each node saves a complete copy of the blockchain, and the nodes maintain data consistency through a consensus mechanism.

[0008] As a preferred technical solution of the present invention, each block includes a block header and a block body, and the block header records the hash value, timestamp, and Merkle tree root information of the previous block.

[0009] As a preferred technical solution of the present invention, multiple business rules and operating conditions are pre-set. When the system detects an event that meets the pre-set conditions, the corresponding operation is automatically triggered. The specific implementation method is as follows: In the management interface of the smart contract module, warehouse managers or relevant managers can set various business rules and operating conditions through a visual operation interface using a specific programming language or graphical programming tools; The system monitors the data and status changes generated by each business link in real time; When an event that meets the preset conditions is detected, the smart contract module will automatically execute the pre-written code logic.

[0010] As a preferred technical solution of the present invention, big data analysis methods are used to analyze the data in the blockchain storage module and intelligently optimize warehouse operations. The specific implementation method is as follows: The data analysis and optimization module extracts data from the blockchain storage module and aggregates and integrates the data of each node through interfaces and protocols; Use big data analysis technology to conduct in-depth analysis of the integrated data; Develop specific optimization strategies based on data analysis results.

[0011] As a preferred technical solution of the present invention, the big data analysis technology includes data mining algorithms and machine learning algorithms.

[0012] As a preferred technical solution of the present invention, the data mining algorithm includes association rule mining and cluster analysis, and the machine learning algorithm includes regression analysis and decision tree.

[0013] Compared with the prior art, the present invention has the following beneficial effects: Realize real-time data synchronization and automatic verification through blockchain technology, reduce human intervention and data deviation, and improve data accuracy and reliability; Blockchain technology enables data interoperability and sharing between different systems, breaking down information silos, improving data utilization efficiency and decision-making accuracy, and enhancing supply chain collaboration efficiency. Reduce manual operations and labor costs through smart contracts and automated processes, and improve the efficiency and accuracy of business processing; The blockchain's immutability and traceability ensure transparency and traceability of cargo management, facilitating supervision and auditing of various operations within the warehouse. Use big data analysis to intelligently optimize warehouse operations, improve operational efficiency and accuracy, and enhance the overall management level of the warehouse. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is a system principle diagram of the present invention. DETAILED DESCRIPTION

[0015] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0016] Example 1 See also Figure 1 , which is the first embodiment of the present invention, provides a blockchain-based intelligent warehouse management system, including The data acquisition module collects basic information about the goods, including entry and exit times, location information, and status information. When goods enter the warehouse, the RFID sensor in the data acquisition module reads the RFID tag information of the goods to obtain the name, specifications, and basic batch information of the goods. At the same time, the weight sensor records the weight of the goods, and the temperature and humidity sensor records the current ambient temperature and humidity information. The blockchain storage module is built using distributed ledger technology to store data obtained from the data acquisition module and key information generated by the system; The smart contract module pre-sets multiple business rules and operating conditions. When the system detects an event that meets the preset conditions, it automatically triggers the corresponding action. The data analysis and optimization module uses big data analysis to analyze the data in the blockchain storage module and intelligently optimize warehouse operations; System interaction module, which enables data communication and sharing with external systems; User management module, which performs authority management and identity authentication for various users using this system; The early warning and monitoring module monitors various indicators and operating status in the warehouse in real time and issues early warning information when abnormal situations occur; The automation equipment control module is connected to the automation equipment in the warehouse and controls the operation of the automation equipment according to the system's instructions; The data synchronization and verification module uses blockchain technology to achieve real-time data synchronization and automatically verify the collected data; The visualization module displays the warehouse's operational data and status information in a visual form.

[0017] In this embodiment, preferably, the system interaction module adopts standardized data interfaces and communication protocols to connect with the systems of upstream and downstream enterprises in the supply chain, the logistics distribution system, and the financial system.

[0018] In this embodiment, preferably, a distributed ledger technology is used to store the data obtained from the data acquisition module and the key information generated by the system. The specific implementation method is as follows: After the data acquisition module collects basic information about the goods, entry and exit times, and other data, it first cleans the data to remove duplicate and erroneous data and standardizes it according to a unified data format. For example, the cargo weight data collected by different types of sensors (which may have different precisions) is uniformly converted into a specific precision format. Use a hash algorithm, such as SHA-256, to encrypt the pre-processed data. Each data block generates a unique hash value after hash calculation. This hash value is like the "digital fingerprint" of the data. Any slight change in the data will cause a huge change in the hash value. The encrypted data is grouped in chronological order, and each group of data constitutes a block. Each block contains a block header and a block body. The block header records the hash value, timestamp, Merkle tree root (obtained by performing a binary tree hash operation on the hash values ​​of all data in the block, used to quickly verify data integrity) of the previous block, and other information; the block body stores the specific data. The generated blocks are synchronized to each node in the system (such as the warehouse management center node, each branch node, etc.) through the P2P network. Each node stores a complete copy of the blockchain. The nodes use a consensus mechanism, such as the Practical Byzantine Fault Tolerance algorithm (PBFT) or the Proof of Stake (POS) algorithm, to ensure the consistency and integrity of the data in each node.

[0019] In this embodiment, preferably, multiple business rules and operating conditions are pre-set. When the system detects an event that meets the pre-set conditions, the corresponding operation is automatically triggered. The specific implementation method is as follows: In the management interface of the smart contract module, warehouse managers or relevant management personnel can use a specific programming language (such as Solidity) or graphical programming tools through a visual operation interface to set various business rules and operating conditions. For example, the inventory warning rule can be set as "triggering an alert when the inventory quantity of a certain product falls below 50 pieces"; the delivery rule can be set as "if the order amount exceeds 100,000 yuan, the administrator must confirm it twice before delivery." The system monitors the data and status changes generated by each business link in real time. Data generated by the data acquisition module, automated equipment control module, etc. are transmitted to the system in real time. The smart contract module analyzes and determines whether this data meets the preset rules and conditions. For example, the automated equipment control module provides feedback on the number of goods shipped out of the warehouse. The smart contract module compares this data with inventory data to determine whether the inventory warning rules have been triggered. When an event that meets the preset conditions is detected, the smart contract module will automatically execute the pre-written code logic; for example, when the inventory warning rule is triggered, the warning and monitoring module will be automatically called to send warning information to relevant personnel via SMS, email, etc.; when the goods outbound rule is triggered, the outbound order will be automatically generated and instructions will be sent to the automated equipment control module to start the goods outbound process.

[0020] In this embodiment, preferably, big data analysis methods are used to analyze the data in the blockchain storage module and intelligently optimize warehouse operations. The specific implementation method is as follows: The data analysis and optimization module regularly extracts data from the blockchain storage module. Due to the distributed storage characteristics of blockchain data, it is necessary to aggregate and integrate the data of each node through specific interfaces and protocols. For example, using the blockchain API interface, it can extract goods in and out records and equipment operation data according to time range, data type and other conditions. Use big data analysis techniques, such as data mining algorithms (association rule mining, cluster analysis, etc.) and machine learning algorithms (regression analysis, decision trees, etc.) to conduct in-depth analysis of the integrated data. For example, association rule mining can be used to analyze the associated sales of goods and identify combinations of goods that are frequently shipped together. Regression analysis can also be used to predict future demand for goods. Specific optimization strategies are formulated based on the results of data analysis. If the sorting efficiency of a certain area is found to be low within a certain period of time, the system automatically adjusts the sorting task allocation strategy and allocates some tasks to other idle sorting areas. Based on the results of cargo demand forecasts, cargo storage locations are planned in advance, and high-frequency demand cargo is placed in a location that is easy to access, thereby improving operational efficiency.

[0021] Example 2 See also Figure 1 , which is the second embodiment of the present invention, is based on the previous embodiment, except that: The specific implementation methods for real-time monitoring of various indicators and operating status in the warehouse and timely issuing of early warning information when abnormal situations occur are as follows: The early warning and monitoring module maintains real-time communication with the data acquisition module and the automated equipment control module, continuously acquiring various data in the warehouse, such as the inventory quantity, equipment operating parameters (temperature, speed, etc.), and warehouse environmental parameters (temperature, humidity, smoke concentration, etc.); Normal threshold ranges for various indicators are pre-set, such as the normal range for inventory quantity and the safe range for equipment operating parameters. The early warning and monitoring module compares the real-time data with the preset thresholds. Once the data exceeds the normal range, it is judged as an abnormality. For example, when the temperature in the warehouse exceeds 35°C (the preset threshold), it is judged as a temperature abnormality. When an abnormal situation is detected, the early warning and monitoring module sends early warning information in a variety of ways according to the preset early warning strategy; it can send text messages to the warehouse manager's mobile phone through the SMS platform; send emails to notify relevant technical personnel through the email system; and pop up an alert window on the system interface to remind operators to deal with abnormal situations in a timely manner.

[0022] Although the embodiments of the present invention have been shown and described, as detailed above, it will be understood by those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the invention, and the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A blockchain-based intelligent warehouse management system, characterized by: include Data collection module, which collects basic information of goods, entry and exit time, location information, and status information; The blockchain storage module is built using distributed ledger technology to store data obtained from the data acquisition module and key information generated by the system; The smart contract module pre-sets multiple business rules and operating conditions. When the system detects an event that meets the preset conditions, it automatically triggers the corresponding action. The data analysis and optimization module uses big data analysis to analyze the data in the blockchain storage module and intelligently optimize warehouse operations; System interaction module, which enables data communication and sharing with external systems; User management module, which performs authority management and identity authentication for various users using this system; The early warning and monitoring module monitors various indicators and operating status in the warehouse in real time and issues early warning information when abnormal situations occur; The automation equipment control module is connected to the automation equipment in the warehouse and controls the operation of the automation equipment according to the system's instructions; The data synchronization and verification module uses blockchain technology to achieve real-time data synchronization and automatically verify the collected data; The visualization module displays the warehouse's operational data and status information in a visual form.

2. The blockchain-based intelligent warehouse management system according to claim 1, characterized in that: The system interaction module is a submodule of the above modules, which uses standardized data interfaces and communication protocols to connect with the systems of upstream and downstream enterprises in the supply chain, logistics distribution systems, and financial systems.

3. The blockchain-based intelligent warehouse management system according to claim 1, characterized in that: It is built using distributed ledger technology to store data obtained from the data collection module and key information generated by the system. The specific implementation method is as follows: After the data collection module collects basic information about the goods and the time of entry and exit of the warehouse, it first cleans the data to remove duplicate and erroneous data, and then standardizes the data according to a unified data format; Use hash algorithm to encrypt the pre-processed data; The encrypted data is grouped in chronological order, with each group of data forming a block; The generated blocks are synchronized to each node in the system through the P2P network. Each node saves a complete copy of the blockchain, and the nodes maintain data consistency through a consensus mechanism.

4. The blockchain-based intelligent warehouse management system according to claim 3, characterized in that: Each block contains a block header and a block body. The block header records the hash value, timestamp, and Merkle tree root information of the previous block.

5. The blockchain-based intelligent warehouse management system according to claim 1, characterized in that: The smart contract module pre-sets a variety of business rules and operating conditions. When the system detects an event that meets the preset conditions, it automatically triggers the corresponding operation. The specific implementation method is as follows: In the management interface of the smart contract module, warehouse administrators use a specific programming language or graphical programming tools through a visual operation interface to set various business rules and operating conditions; The system monitors the data and status changes generated by each business link in real time; When an event that meets the preset conditions is detected, the smart contract module will automatically execute the pre-written code logic.

6. The blockchain-based intelligent warehouse management system according to claim 1, characterized in that: The data analysis and optimization module uses big data analysis methods to analyze the data in the blockchain storage module and intelligently optimize warehouse operations. The specific implementation method is as follows: The data analysis and optimization module extracts data from the blockchain storage module and aggregates and integrates the data of each node through interfaces and protocols; Use big data analysis technology to conduct in-depth analysis of the integrated data; Develop specific optimization strategies based on data analysis results.

7. The blockchain-based intelligent warehouse management system according to claim 6, characterized in that: The big data analysis technology includes data mining algorithms and machine learning algorithms.

8. The blockchain-based intelligent warehouse management system according to claim 7, characterized in that: The data mining algorithm includes association rule mining and cluster analysis, and the machine learning algorithm includes regression analysis and decision tree.

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