Three-dimensional warehouse management system based on sensor positioning and identity recognition

Abstract

The invention relates to the technical field of intelligent warehouse management, and discloses a three-dimensional warehouse management system based on sensor positioning and identity recognition, which comprises a sensor network, a central processing unit, a database, a cargo recognition unit and a mobile robot, the sensor is used for monitoring positions and states of goods on the shelf in real time; the central processing unit and the database are used for collecting and analyzing data provided by the sensor network. According to the invention, through the arrangement of the cargo identification unit, accurate tracking and management of cargo information are realized, and the logistics efficiency is greatly improved; advanced data encryption and error detection technologies are adopted, so that the security of the system is enhanced; the combination of the intelligent analysis module and the input and output control module ensures the high efficiency and accuracy of data processing, and the navigation system of the mobile robot significantly improves the automation and accuracy of cargo handling, reduces human errors and operation time, and realizes the intelligentization and precision of warehouse management.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent warehouse management, and in particular to a three-dimensional warehouse management system based on sensor positioning and identity recognition. Background Art

[0002] With the advancement of technology and the warehousing and logistics industries, automated three-dimensional warehouses are becoming increasingly mature and a key option for businesses to reduce costs and increase efficiency. With the rapid development of the modern warehousing and logistics industry, the demand for automated and intelligent warehouse management is growing. Traditional warehouse management methods suffer from high labor costs, low space utilization, and inefficient cargo storage and retrieval. Therefore, it is particularly important to develop a three-dimensional warehouse management system that can automatically locate and identify cargo, and achieve efficient management. Summary of the Invention

[0003] The purpose of the present invention is to provide a three-dimensional warehouse management system based on sensor positioning and identity recognition to solve the problems raised in the above background technology.

[0004] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: a three-dimensional warehouse management system based on sensor positioning and identity recognition, comprising a sensor network, a central processing unit and a database, a cargo identification unit, and a mobile robot, wherein the sensor network is composed of multiple sensors and is used to monitor the position and status of cargo on shelves in real time; the central processing unit and the database are used to collect and analyze data provided by the sensor network, and send instructions to the mobile robot based on the analysis results, thereby realizing automated inventory management and cargo handling; the cargo identification unit uses RFID reader / QR code scanning / barcode scanning technology to accurately identify cargo and ensure accurate tracking of cargo during the warehousing process, and the mobile robot efficiently completes the designated task through a path optimization algorithm; the sensor network is connected to the central processing unit and the database to realize real-time data synchronization, the cargo identification unit is connected to the central processing unit and the database to ensure that the identification information is updated in real time and used for inventory management, and the mobile robot is connected to the central processing unit and the database to receive task instructions and feedback the operation status.

[0005] Preferably, the sensor network is composed of multiple sensors distributed at key locations of storage shelves, which are used to monitor the location, movement status and other information of goods in real time, such as temperature sensors, pressure sensors, infrared sensors and ultrasonic sensors, which can monitor environmental changes and adjust storage conditions in a timely manner.

[0006] Preferably, in addition, the system is also equipped with an emergency response mechanism. When the sensor detects an abnormal situation, the system will immediately activate the emergency plan. The emergency response mechanism uses a built-in decision-making algorithm to assess the severity of the abnormal situation, and automatically adjusts the operating process based on the assessment results, and quickly issues alarms and intervention suggestions to the operator. The decision-making algorithm built into the emergency response mechanism adopts the following formula: , in, A severity score representing an abnormal situation, used to quantify the level of risk; Indicates the intensity of abnormal indicators, which is determined by real-time sensor monitoring data, such as the degree to which temperature, pressure, vibration amplitude, etc. exceed safety thresholds; Indicates the scope of the abnormal impact, reflecting the number and relevance of affected devices, areas or systems; Indicate the urgency of abnormal development trends and predict the speed of risk escalation through time series analysis; are the weight coefficients of intensity, scope, and urgency, respectively, satisfying , and calibrated through historical data or expert experience according to specific application scenarios; The decision logic analysis is as follows: Risk grading: when <0.4, it is judged as low risk, the system issues a yellow warning, and the operator is advised to pay attention; When 0.4≤ <0.7, it is judged as medium risk, and the system activates automatic protection mechanisms (such as cutting off the power supply of some equipment) and issues an orange alert; when ≥0.7, it is judged as high risk, the system triggers a comprehensive emergency plan (such as emergency shutdown, activation of the fire protection system) and issues a red alarm; Dynamic Adjustment: Real-time algorithm updates 、 、 The value of Dynamically adjust the operation process according to the changes in the If it continues to rise, the system will gradually raise the warning level until the risk is eliminated.

[0007] Preferably, the central processing unit and database specifically include a server cluster, a data storage unit, and data processing software. The server cluster is composed of multiple high-performance computers to ensure efficient processing and analysis of massive data. The data storage unit adopts distributed storage technology to ensure high reliability and fast access to data. The data processing software uses data mining algorithms to perform complex data analysis and pattern recognition to optimize storage strategies and improve system response speed. The data processing software uses the data mining algorithm using the following formula: , in Indicates the optimized storage strategy. Indicates the importance of each cargo. Representing the corresponding weight factors, this algorithm ensures efficient and accurate inventory management by assigning different priorities to different goods.

[0008] Preferably, the cargo identification unit includes an RFID tag identification module, a QR code scanning module and a barcode scanning module. The RFID tag identification module adopts high-frequency wireless technology and can quickly and accurately read and update the information in the RFID tag. The QR code scanning module and the barcode scanning module use optical recognition technology to quickly obtain and verify cargo information, ensuring that each piece of cargo can be accurately tracked from the entire process from warehousing to delivery.

[0009] Preferably, the cargo identification unit further includes a memory storage module, which can store detailed cargo information and historical tracking data to facilitate backtracking and analysis when needed; in addition, the memory storage module uses advanced data encryption technology to protect cargo information from unauthorized access and tampering. The data encryption calculation formula is as follows: , The data decryption calculation formula is as follows: , Where, : 256-bit key (generated by a key derivation function); : Plain text data (cargo information + timestamp + operation log); : 12-byte random initialization vector (unique for each encryption); : Associated authentication data (such as cargo ID, operator identity); : 16-byte authentication tag (for integrity verification); Through this encryption mechanism, the system not only ensures the security of data, but also improves the efficiency and reliability of data processing, and ensures the transparency and traceability of warehouse management.

[0010] Preferably, the cargo identification unit further comprises Intelligent analysis module, which can process data collected by RFID, QR code and barcode in real time by learning and comparing historical data; The input and output control module is responsible for managing the data exchange between all cargo identification units and the central processing unit. This module uses advanced communication protocols to ensure high efficiency and low latency in data transmission; The error detection and correction module is responsible for promptly detecting and correcting errors that may occur during the input and output process, and using redundant verification and backup mechanisms to ensure the integrity and accuracy of the data. This module uses a multi-level verification algorithm combined with timestamps and serial numbers to continuously monitor the data flow, locate problems in a timely manner, and take corresponding measures.

[0011] Preferably, the mobile robot is equipped with a navigation system, which can handle complex and changeable warehouse environments and guide the robot to move efficiently in the warehouse. The navigation system includes a laser ranging sensor, an inertial measurement unit and a visual recognition system. The combination of these technologies can accurately perform path planning and obstacle avoidance to achieve autonomous navigation of the mobile robot; the laser ranging sensor is responsible for measuring distance in real time and establishing an accurate warehouse map; the inertial measurement unit uses data from the gyroscope and accelerometer to provide the robot's real-time posture and motion status to ensure navigation stability and accuracy; the visual recognition system collects image information through the camera, analyzes and identifies the surrounding environment and signs, and provides auxiliary decision support for the mobile robot.

[0012] The present invention provides a three-dimensional warehouse management system based on sensor positioning and identity recognition. It has the following beneficial effects: (1) The present invention realizes accurate tracking and management of cargo information by setting up a cargo identification unit, greatly improving logistics efficiency; adopts advanced data encryption and error detection technology to enhance the security of the system; the combination of intelligent analysis module and input and output control module ensures the efficiency and accuracy of data processing, and the navigation system of the mobile robot significantly improves the automation and accuracy of cargo handling, reduces human errors and operation time, and realizes intelligent and precise warehouse management.

[0013] (2) The present invention achieves in-depth optimization of warehousing processes and risk prediction through the introduction of decision-making algorithms, data mining algorithms, data encryption and multi-level verification algorithms, thereby improving the intelligence level of the system. The integration of these algorithms further ensures the automation and intelligence of warehouse management, reduces operating costs and improves overall operating efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 This is the overall structural framework diagram of the present invention; Figure 2 This is a framework diagram of the cargo identification unit 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] Examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, but are not to be construed as limiting the present invention.

[0017] A preferred embodiment of the three-dimensional warehouse management system based on sensor positioning and identity recognition provided by the present invention is as follows: Figure 1-2 As shown: A three-dimensional warehouse management system based on sensor positioning and identity recognition, including a sensor network, a central processing unit and a database, a cargo identification unit, and a mobile robot. The sensor network is composed of multiple sensors and is used to monitor the position and status of cargo on the shelves in real time; the central processing unit and the database are used to collect and analyze the data provided by the sensor network, and send instructions to the mobile robot based on the analysis results, thereby realizing automated inventory management and cargo handling; the cargo identification unit uses RFID readers / QR code scanning / barcode scanning technology to accurately identify cargo and ensure accurate tracking of cargo during the warehousing process. The mobile robot efficiently completes the designated task through the path optimization algorithm; the sensor network is connected to the central processing unit and the database to realize real-time data synchronization, the cargo identification unit is connected to the central processing unit and the database to ensure that the identification information is updated in real time and used for inventory management, and the mobile robot is connected to the central processing unit and the database to receive task instructions and feedback the operation status; In a three-dimensional warehouse management system, sensor networks are meticulously deployed at key locations on storage shelves to enable real-time monitoring of the location and status of goods. The sensor network is composed of various types of sensors, including but not limited to temperature sensors, pressure sensors, infrared sensors, and ultrasonic sensors. These sensors are connected to the central processing unit and database via wired or wireless means to ensure real-time data transmission and synchronization. The sensor network consists of multiple sensors, distributed at key locations on storage shelves, to monitor the location, movement status, and other information of goods in real time. For example, temperature sensors, pressure sensors, infrared sensors, and ultrasonic sensors can monitor environmental changes and adjust storage conditions in a timely manner. Furthermore, sensor layout: Based on the structure of the warehouse shelves and the characteristics of the goods, sensors are rationally arranged at various levels and key nodes of the shelves. For example, temperature sensors are placed near goods that are sensitive to temperature, and pressure sensors are installed on the shelf support structure to monitor changes in cargo weight.

[0018] Data Collection Frequency: Sensors collect data at a preset frequency, ensuring the system has real-time access to the latest status of goods. For critical areas or high-value goods, the data collection frequency can be increased appropriately.

[0019] Data transmission method: Data collected by sensors is transmitted to the central processing unit and database via a wireless sensor network (WSN) or a wired network. During the transmission process, data is protected by encryption technology to ensure data security and integrity. In addition, the system is equipped with an emergency response mechanism. When the sensor detects an abnormal situation, the system will immediately activate the emergency plan. The emergency response mechanism uses a built-in decision-making algorithm to assess the severity of the abnormal situation, automatically adjust the operating process based on the assessment results, and quickly issue alarms and intervention suggestions to the operator. The decision-making algorithm built into the emergency response mechanism uses the following formula: , in, A severity score representing an abnormal situation, used to quantify the level of risk; Indicates the intensity of abnormal indicators, which is determined by real-time sensor monitoring data, such as the degree to which temperature, pressure, vibration amplitude, etc. exceed safety thresholds; Indicates the scope of the abnormal impact, reflecting the number and relevance of affected devices, areas or systems; Indicate the urgency of abnormal development trends and predict the speed of risk escalation through time series analysis; are the weight coefficients of intensity, scope, and urgency, respectively, satisfying , and calibrated through historical data or expert experience according to specific application scenarios; The decision logic analysis is as follows: Risk grading: when <0.4, it is judged as low risk, the system issues a yellow warning, and the operator is advised to pay attention; When 0.4≤ <0.7, it is judged as medium risk, and the system activates automatic protection mechanisms (such as cutting off the power supply of some equipment) and issues an orange alert; when ≥0.7, it is judged as high risk, the system triggers a comprehensive emergency plan (such as emergency shutdown, activation of the fire protection system) and issues a red alarm; Dynamic Adjustment: Real-time algorithm updates 、 、 The value of Dynamically adjust the operation process according to the changes in the If the risk continues to rise, the system will gradually raise the warning level until the risk is eliminated; Furthermore, when the sensor detects an abnormal situation, the system will immediately activate the emergency plan.

[0020] Decision Algorithm Implementation: The decision algorithm assesses the severity of anomalies based on real-time sensor data. The algorithm calculates parameters such as the intensity, impact, and urgency of the anomaly to determine a severity score. Based on the score, the system initiates the appropriate emergency response plan.

[0021] Emergency plan activation process: When the system determines that the risk is low, a yellow warning will be issued and the operator will be advised to pay attention; when it is determined to be medium risk, the automatic protection mechanism will be activated and an orange alert will be issued; when it is determined to be high risk, a comprehensive emergency plan will be triggered and a red alert will be issued. During the emergency plan activation process, the system will issue warnings and intervention suggestions to the operator and dynamically adjust the operation process according to the actual situation; The central processing unit and database specifically include a server cluster, a data storage unit, and data processing software. The server cluster is composed of multiple high-performance computers to ensure efficient processing and analysis of massive data. The data storage unit adopts distributed storage technology to ensure high reliability and fast access to data. The data processing software uses data mining algorithms to perform complex data analysis and pattern recognition to optimize storage strategies and improve system response speed. Specifically, the data processing software uses the data mining algorithm using the following formula: , in Indicates the optimized storage strategy. Indicates the importance of each cargo. Represents the corresponding weight factor. This algorithm ensures efficient and accurate inventory management by assigning different priorities to different goods; Furthermore, the server cluster configuration: The server cluster consists of multiple high-performance computers, using load balancing technology to ensure high availability and scalability of the system. Each server is equipped with redundant power and cooling systems to improve system stability and reliability.

[0022] Data Storage Unit Technical Details: The Data Storage Unit utilizes distributed storage technology, distributing data across multiple nodes for enhanced reliability and rapid access. It also supports data backup and recovery, ensuring data security and integrity.

[0023] Specific algorithms and application scenarios for data processing software: Data processing software uses data mining algorithms to analyze and process massive amounts of data. For example, cluster analysis algorithms can be used to categorize and manage goods, while association rule mining algorithms can be used to discover relationships between goods, thereby optimizing storage strategies and improving system response speed. Furthermore, data processing software supports custom algorithms and scripts to meet the needs of different application scenarios. The cargo identification unit includes an RFID tag identification module, a QR code scanning module, and a barcode scanning module. The RFID tag identification module uses high-frequency wireless technology to quickly and accurately read and update the information in the RFID tag. The QR code scanning module and the barcode scanning module use optical recognition technology to quickly obtain and verify cargo information, ensuring that every piece of cargo can be accurately tracked from the time it enters the warehouse to the time it leaves the warehouse. The cargo identification unit also includes a memory storage module that can store detailed cargo information and historical tracking data, facilitating backtracking and analysis when needed. In addition, the memory storage module uses advanced data encryption technology to protect cargo information from unauthorized access and tampering. The data encryption calculation formula is: , The data decryption calculation formula is as follows: , Where, : 256-bit key (generated by a key derivation function); : Plain text data (cargo information + timestamp + operation log); : 12-byte random initialization vector (unique for each encryption); : Associated authentication data (such as cargo ID, operator identity); : 16-byte authentication tag (for integrity verification); Through this encryption mechanism, the system not only ensures data security, but also improves the efficiency and reliability of data processing, and guarantees the transparency and traceability of warehouse management; The RFID reader / writer uses high-frequency wireless technology to transmit radio frequency signals to activate and read the information stored in the RFID tag. The RFID tag is affixed to the surface of or embedded in the goods and stores the goods' unique identifier and other relevant information.

[0024] QR and barcode scanning module integration: These modules use optical recognition technology to read QR or barcode information on goods. These modules are integrated into the cargo identification unit and work in conjunction with the RFID reader to quickly obtain and verify cargo information.

[0025] Memory Storage Module Data Encryption Details: The memory storage module uses advanced data encryption technology to protect cargo information security. During data encryption, the system uses a 256-bit key to encrypt plaintext data, generating ciphertext data. Furthermore, the system uses a 12-byte random initialization vector and a 16-byte authentication tag to enhance data security. During data decryption, the system uses the same key to decrypt the ciphertext data, restoring the original plaintext data. The cargo identification unit also includes Intelligent analysis module, which can process data collected by RFID, QR code and barcode in real time by learning and comparing historical data; The input and output control module is responsible for managing the data exchange between all cargo identification units and the central processing unit. This module uses advanced communication protocols to ensure high efficiency and low latency in data transmission; The error detection and correction module is responsible for promptly detecting and correcting errors that may occur during the input and output processes. It uses redundant checksums and backup mechanisms to ensure data integrity and accuracy. This module uses a multi-level checksum algorithm combined with timestamps and sequence numbers to continuously monitor data streams, locate problems in a timely manner, and take appropriate measures. The mobile robot is equipped with a navigation system capable of handling complex and changing warehouse environments, guiding the robot's efficient movement within the warehouse. This navigation system includes a laser ranging sensor, an inertial measurement unit, and a visual recognition system. These combined technologies enable precise path planning and obstacle avoidance, enabling autonomous navigation. The laser ranging sensor measures distances in real time, creating an accurate warehouse map. The inertial measurement unit uses data from the gyroscope and accelerometer to provide real-time information on the robot's posture and motion, ensuring navigation stability and accuracy. The visual recognition system uses cameras to collect image information, analyze and identify the surrounding environment and landmarks, and provide decision-making support for the mobile robot.

[0026] Furthermore, laser ranging sensors are used to measure the distance between the robot and surrounding obstacles in real time, creating an accurate warehouse map. By continuously scanning the surrounding environment, the robot can update the map information in real time, ensuring the accuracy of path planning.

[0027] Inertial Measurement Unit Technical Details: The inertial measurement unit uses data from gyroscopes and accelerometers to provide the robot's real-time attitude and motion status. This data is used for motion control and navigation stabilization, ensuring the robot's stability and accuracy during movement.

[0028] How the visual recognition system works: The visual recognition system uses cameras to collect image information, analyze, and identify the surrounding environment and its signs. For example, a robot can use the visual recognition system to identify identifiers on shelves or path markings on the ground, assisting with path planning and obstacle avoidance.

[0029] In summary, by integrating core components such as a sensor network, a central processing unit (CPU) and database, a cargo identification unit, and mobile robots, we have achieved comprehensive automation and intelligent warehouse management. The sensor network is precisely positioned at key locations on the warehouse shelves. Using temperature, pressure, infrared, and ultrasonic sensors, it monitors cargo location, status, and environmental changes in real time, ensuring dynamic adjustment and optimization of storage conditions. The CPU and database, serving as the "brain" of the system, leverage high-performance server clusters and distributed storage technologies to efficiently process massive amounts of data. Data mining algorithms are used to optimize storage strategies, significantly improving system response speed and decision-making accuracy.

[0030] The cargo identification unit integrates RFID readers, QR code scanners, and barcode scanning technologies to accurately track and identify goods throughout the entire process, from inbound to outbound delivery. Combined with the data encryption technology of the memory storage module, the system not only ensures the security of cargo information but also improves the efficiency and reliability of data processing, providing solid transparency and traceability for warehouse management.

[0031] Mobile robots, the core of the execution layer, are equipped with advanced navigation systems, including laser ranging sensors, inertial measurement units, and visual recognition systems. They enable autonomous navigation and efficient operation in complex and changing warehouse environments. Using path optimization algorithms, robots can accurately complete cargo handling tasks, significantly improving warehouse operation efficiency and accuracy.

[0032] The system also features a comprehensive emergency response mechanism, utilizing built-in decision-making algorithms to assess and prioritize abnormal situations in real time. Based on the severity of the abnormality, the system automatically initiates appropriate emergency response plans, such as sounding an alarm, cutting power, and performing emergency shutdowns, ensuring safe and stable warehousing operations.

[0033] It should be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus.

[0034] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art will be able to modify the technical solutions described in the aforementioned embodiments or substitute equivalents for some of the technical features. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention shall be included within the scope of protection of the present invention.

Claims

1. A three-dimensional warehouse management system based on sensor positioning and identity recognition, comprising a sensor network, a central processing unit and database, a cargo identification unit, and a mobile robot, characterized by: The sensor network is composed of multiple sensors and is used to monitor the location and status of goods on the shelves in real time; the central processing unit and the database are used to collect and analyze the data provided by the sensor network and send instructions to the mobile robot based on the analysis results; the cargo identification unit uses RFID reader / QR code scanning / barcode scanning technology to accurately identify the goods and ensure accurate tracking of the goods during the storage process, and the mobile robot efficiently completes the designated task through the path optimization algorithm; the sensor network is connected to the central processing unit and the database to achieve real-time data synchronization, the cargo identification unit is connected to the central processing unit and the database to ensure that the identification information is updated in real time and used for inventory management, and the mobile robot is connected to the central processing unit and the database to receive task instructions and feedback the operation status.

2. The three-dimensional warehouse management system based on sensor positioning and identity recognition according to claim 1, characterized in that: The sensor network consists of multiple sensors distributed at key locations on storage shelves, which are used to monitor the location and movement status of goods in real time. Sensors such as temperature sensors, pressure sensors, infrared sensors, and ultrasonic sensors can monitor environmental changes and adjust storage conditions in a timely manner.

3. The three-dimensional warehouse management system based on sensor positioning and identity recognition according to claim 1 is characterized by: The system is also equipped with an emergency response mechanism. When sensors detect an abnormal situation, the system will immediately activate the emergency plan. The emergency response mechanism uses a built-in decision-making algorithm to assess the severity of the abnormal situation, automatically adjust the operating process based on the assessment results, and quickly issue alarms and intervention recommendations to operators. The decision-making algorithm built into the emergency response mechanism uses the following formula: ， in, A severity score representing an abnormal situation, used to quantify the level of risk; Indicates the intensity of abnormal indicators, which is determined by real-time sensor monitoring data, such as the degree to which temperature, pressure, vibration amplitude, etc. exceed safety thresholds; Indicates the scope of the abnormal impact, reflecting the number and relevance of affected devices, areas or systems; Indicate the urgency of abnormal development trends and predict the speed of risk escalation through time series analysis; are the weight coefficients of intensity, scope, and urgency, respectively, satisfying , and calibrated through historical data or expert experience according to specific application scenarios; The decision logic analysis is as follows: Risk grading: when <0.4, it is judged as low risk, the system issues a yellow warning, and the operator is advised to pay attention; When 0.4≤ <0.7, it is judged as medium risk, and the system activates automatic protection mechanisms (such as cutting off the power supply of some equipment) and issues an orange alert; when ≥0.7, it is judged as high risk, the system triggers a comprehensive emergency plan (such as emergency shutdown, activation of the fire protection system) and issues a red alarm; Dynamic Adjustment: Real-time algorithm updates 、 、 The value of Dynamically adjust the operation process according to the changes in the If it continues to rise, the system will gradually raise the warning level until the risk is eliminated.

4. The three-dimensional warehouse management system based on sensor positioning and identity recognition according to claim 1, characterized in that: The central processing unit and database specifically include a server cluster, a data storage unit, and data processing software. The server cluster is composed of multiple high-performance computers to ensure efficient processing and analysis of massive data. The data storage unit adopts distributed storage technology to ensure high reliability and fast access to data. The data processing software uses data mining algorithms to perform complex data analysis and pattern recognition to optimize storage strategies and improve system response speed. The data processing software uses the data mining algorithm using the following formula: ， in Indicates the optimized storage strategy. Indicates the importance of each cargo. Representing the corresponding weight factors, this algorithm ensures efficient and accurate inventory management by assigning different priorities to different goods.

5. The three-dimensional warehouse management system based on sensor positioning and identity recognition according to claim 1 is characterized by: The cargo identification unit includes an RFID tag identification module, a QR code scanning module and a barcode scanning module. The RFID tag identification module uses high-frequency wireless technology to quickly and accurately read and update the information in the RFID tag. The QR code scanning module and the barcode scanning module use optical recognition technology to quickly obtain and verify cargo information, ensuring that each piece of cargo can be accurately tracked from the entry to the exit of the warehouse.

6. The three-dimensional warehouse management system based on sensor positioning and identity recognition according to claim 1, characterized in that: The cargo identification unit also includes a memory storage module that can store detailed cargo information and historical tracking data to facilitate backtracking and analysis when needed. The memory storage module uses advanced data encryption technology to protect cargo information from unauthorized access and tampering. The data encryption calculation formula is as follows: , The data decryption calculation formula is as follows: 。 7. The three-dimensional warehouse management system based on sensor positioning and identity recognition according to claim 1 is characterized by: The cargo identification unit also includes Intelligent analysis module, which can process data collected by RFID, QR code and barcode in real time by learning and comparing historical data; The input and output control module is responsible for managing the data exchange between all cargo identification units and the central processing unit. This module uses advanced communication protocols to ensure high efficiency and low latency in data transmission; The error detection and correction module is responsible for promptly detecting and correcting errors that may occur during the input and output process, and using redundant verification and backup mechanisms to ensure the integrity and accuracy of the data. This module uses a multi-level verification algorithm combined with timestamps and serial numbers to continuously monitor the data flow, locate problems in a timely manner, and take corresponding measures.

8. The three-dimensional warehouse management system based on sensor positioning and identity recognition according to claim 1, characterized in that: The mobile robot is equipped with a navigation system, which includes a laser ranging sensor, an inertial measurement unit and a visual recognition system; the laser ranging sensor is responsible for measuring distance in real time and establishing an accurate warehouse map; the inertial measurement unit uses data from the gyroscope and accelerometer to provide the robot's real-time posture and motion status, ensuring navigation stability and accuracy; the visual recognition system collects image information through the camera, analyzes and identifies the surrounding environment and signs, and provides auxiliary decision support for the mobile robot.

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