Intelligent warehouse management system and method based on high-precision indoor positioning

Abstract

The invention discloses an intelligent warehouse management system and method based on high-precision indoor positioning, and relates to the technical field of warehouse positioning. A first corresponding relation among shelf number data, first quality data, goods quantity data and goods name data is established, and an inventory monitoring feedback mechanism is established; comparing the current goods quality data with the minimum goods quality data, establishing a warehouse management coordinate system, generating goods name data, shelf position coordinate data and a route map according to the warehouse management coordinate system, sending the data and the map to a corresponding warehouse personnel terminal, generating a plurality of secret key data according to a time period, and sending the secret key data to the warehouse personnel terminal; according to the method, the positions of the goods and the positions of the warehousing personnel are accurately associated in real time, so that the optimal goods taking path is automatically planned, the high efficiency, the accuracy and the safety of warehousing operation are realized, the warehousing, storage, inventory and ex-warehouse processes of the goods are optimized, the real-time performance and the accuracy of inventory monitoring are remarkably improved, and the working efficiency is improved. And strict control of access of the sensitive module is ensured.

Description

Technical Field

[0001] The present invention relates to the field of warehouse positioning technology, and in particular to an intelligent warehouse management system and method based on high-precision indoor positioning. Background Art

[0002] With the rapid development of information technology and the increasing attention paid by enterprises to supply chain management, warehouse management systems are playing an increasingly important role in improving warehouse operation efficiency and optimizing resource allocation. The introduction of high-precision indoor positioning technology has brought revolutionary changes to intelligent warehouse management systems.

[0003] At present, the Chinese patent with application number CN201810925497.6 discloses a warehouse management system based on indoor positioning, including storage shelves, which are provided with multi-layer partitions, and electronic tags storing cargo information can be detached on the bottom of the partitions, and also include a reader that reads the electronic tag information, the reader is wirelessly connected to the electronic tag through an antenna, and the reader is connected to the computer through an RS232 communication interface. The storage shelf is also provided with an analog positioning module, which is connected to the computer through a communication interface, and the analog positioning module includes a programmable controller, and the output end of the programmable controller is connected to an indicating device. This invention helps warehouse managers find goods through the analog positioning module, which is provided with a buzzer and an LED indicator to guide warehouse managers to search for target goods, quickly complete the picking operation, and completely solve the problem of finding goods.

[0004] This invention cannot update and warn the quantity of goods in real time, and it is difficult to link the location of goods and the location of warehouse personnel to obtain the shortest pickup route, which affects the scheduling efficiency of the warehouse management system. Summary of the invention

[0005] The technical problem solved by the present invention is that in the related art, it is impossible to update and warn the quantity of goods in real time, and it is difficult to link the location of the goods with the location of the warehouse personnel to obtain the shortest pickup path, which affects the scheduling efficiency of the warehouse management system.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: Intelligent warehouse management system based on high-precision indoor positioning, including goods data management module, inventory monitoring and early warning module, indoor positioning and navigation module and key access restriction module: The product data management module is used to obtain and input the first quality data, product name data and shelf number data of a single product, obtain the total quality data, calculate the quantity of the product according to the first quality data and the total quality data and output it as the quantity data of the product, and establish a first correspondence between the shelf number data, the first quality data, the quantity data of the product and the product name data; The inventory monitoring and early warning module is used to establish an inventory monitoring feedback mechanism, input the first corresponding relationship and the preset minimum product quantity data into the inventory monitoring feedback mechanism, obtain the current total mass data in real time, calculate the current product quantity data according to the current total mass data and the first mass data, compare the current product quality data with the minimum product quality data and output an early warning signal; The indoor positioning and navigation module is used to establish a warehouse management coordinate system, and generate product name data, shelf location coordinate data and a route map according to the warehouse management coordinate system and send them to the corresponding warehouse personnel terminal; The key access restriction module is used to generate a number of key data according to a time period, and the key data is input to the warehouse personnel end according to a time period. The key data is used to start the goods data management module, the inventory monitoring and early warning module and the indoor positioning and navigation module.

[0007] Preferably, the product data management module includes a product data collection unit, a product quantity calculation unit and a product data integration unit: The product data acquisition unit is used to first obtain first mass data of a single product using a weight sensor, and then obtain corresponding product name data and shelf number data, wherein the format of the shelf number data is shelf number-shelf layer number; The goods quantity calculation unit is used to obtain total mass data after placing all goods, calculate the goods quantity according to the first mass data and the total mass data, and output the goods quantity data; The product data integration unit is used to establish and store a first corresponding relationship among shelf number data, first quality data, product quantity data and product name data.

[0008] Preferably, the inventory monitoring and early warning module includes a preset data configuration unit, a real-time data acquisition unit, a quantity calculation and comparison unit, and an early warning signal generation unit: The preset data configuration unit is used to establish an inventory monitoring feedback mechanism, and input the first corresponding relationship and the corresponding minimum product quantity data into the inventory monitoring feedback mechanism; The real-time data acquisition unit is used to use the weight sensor to acquire the current total weight data corresponding to the current shelf number data in real time; The quantity calculation and comparison unit is used to calculate and output the current quantity data of goods according to the current total weight data and the first mass data.

[0009] Preferably, the warning signal generating unit in the inventory monitoring and warning module is used to compare the current product quantity data with the minimum product quantity data. If the current product quantity data is less than the minimum product quantity data, the difference between the minimum product quantity and the current product quantity is calculated and output as replenishment quantity data to generate a warning signal. The warning signal includes the current shelf number data, product name data and replenishment quantity data.

[0010] Preferably, the indoor positioning and navigation module includes a coordinate system establishment unit, a personnel position capture unit, a position coordinate conversion unit, a path planning and matching unit, a path optimization selection unit and a navigation information sending unit: The coordinate system establishment unit is used to construct a warehouse management coordinate system, and the warehouse management coordinate system includes a two-dimensional coordinate system, shelf position coordinate data and a corresponding first correspondence; The personnel position capturing unit is used to capture and store the initial signal strength of the warehouse personnel using radio frequency identification technology; The position coordinate conversion unit is used to capture the current signal strength of the warehouse personnel, calculate the attenuation of the initial signal strength and the current signal strength using the signal attenuation model, and convert it into the warehouse personnel position coordinate data.

[0011] Preferably, the path planning and matching unit of the indoor positioning and navigation module is used to obtain the name data of the goods to be extracted, input the name data of the goods to be extracted into the warehouse management coordinate system, match the corresponding name data of the goods, extract the corresponding shelf location coordinate data, and use a greedy algorithm to generate several route maps connecting the warehouse personnel location coordinate data and the shelf location coordinate data.

[0012] Preferably, the path optimization selection unit of the indoor positioning navigation module is used to calculate the lengths of several route maps respectively, generate route length data, establish a second correspondence between several warehouse personnel location coordinate data, product name data, shelf location coordinate data, route maps and route length data, and find and store the second correspondence with the smallest route length data among the several second correspondences.

[0013] Preferably, the navigation information sending unit of the indoor positioning navigation module is used to send the product name data, shelf location coordinate data and route map in the second corresponding relationship to the corresponding warehouse personnel terminal.

[0014] Preferably, the key access restriction module includes a periodic key generation unit, a periodic key distribution unit, a personnel authority verification unit and a key management update unit: The periodic key generation unit is used to set a time period and generate a number of daily key data according to the time period; The periodic key distribution unit is used to send a number of daily key data to the warehouse personnel end according to the time period; The personnel authority verification unit is used to establish a key access permission window in the goods data management module, the inventory monitoring and warning module, and the indoor positioning and navigation module, and send a number of key data of the day to the key access permission window. The key access permission window receives the current key data, compares the current key data with the key data of the day, and if the current key data matches the key data of the day, then the access permission of the goods data management module, the inventory monitoring and warning module, and the indoor positioning and navigation module is opened; The key management and updating unit is used to delete the key data of the day in the time period before the current time period after generating the key data of the day.

[0015] The intelligent warehouse management method based on high-precision indoor positioning includes the following steps: Step S1, obtaining and entering the first mass data, the product name data and the shelf number data of a single product, obtaining the total mass data, calculating the quantity of the product according to the first mass data and the total mass data and outputting it as the quantity data of the product; Step S2, establishing a first correspondence between the shelf number data, the first quality data, the product quantity data and the product name data, establishing an inventory monitoring feedback mechanism, inputting the first correspondence and the minimum product quantity data into the inventory monitoring feedback mechanism, obtaining the current total quality data and calculating the current product quantity data, comparing the current product quality data with the minimum product quality data and outputting a warning signal; Step S3, establish a warehouse management coordinate system, capture the warehouse personnel position signal, input the warehouse personnel position signal into the warehouse management coordinate system to generate warehouse personnel position coordinate data, obtain the name data of the goods to be extracted, input the name data of the goods to be extracted into the warehouse management coordinate system, match the corresponding goods name data, extract the corresponding shelf position coordinate data, generate several route maps connecting the warehouse personnel position coordinate data and the shelf position coordinate data, calculate the length of several route maps respectively, generate route length data, establish several second corresponding relationships among the warehouse personnel position coordinate data, the goods name data, the shelf position coordinate data, the route map and the route length data, find the second corresponding relationship with the smallest route length data among the several second corresponding relationships, and send the goods name data, the shelf position coordinate data and the route map in the second corresponding relationship to the corresponding warehouse personnel end; Step S4, generating a number of key data according to a time period, and inputting the key data to the warehouse staff end according to a time period.

[0016] Beneficial effects of the present invention: The present invention associates the location of goods with the location of warehouse personnel in real time and accurately, thereby automatically planning the optimal pickup route, achieving high efficiency, accuracy and safety of warehousing operations, and not only optimizing the warehousing, storage, inventory and outbound processes of goods, but also significantly improving the real-time and accuracy of inventory monitoring, while ensuring strict control of access to sensitive modules. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 A schematic diagram of the basic process of an intelligent warehouse management system based on high-precision indoor positioning provided by one embodiment of the present invention; Figure 2 A flowchart of the steps of an intelligent warehouse management method based on high-precision indoor positioning provided by one embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the drawings. It is obvious that the described embodiments are only part of the embodiments of the present invention, but not all of the embodiments.

[0019] Embodiment 1, refer to Figure 1 , provides an intelligent warehouse management system based on high-precision indoor positioning, including product data management module, inventory monitoring and early warning module, indoor positioning and navigation module and key access restriction module: The product data management module is used to obtain and enter the first quality data, product name data and shelf number data of a single product, obtain the total quality data, calculate the quantity of products based on the first quality data and the total quality data and output it as product quantity data, and establish a first correspondence between the shelf number data, the first quality data, the product quantity data and the product name data.

[0020] The inventory monitoring and early warning module is used to establish an inventory monitoring feedback mechanism, input the first corresponding relationship and the preset minimum quantity of goods data into the inventory monitoring feedback mechanism, obtain the current total mass data in real time, calculate the current quantity of goods based on the current total mass data and the first mass data, compare the current quality data of goods with the minimum quality data of goods and output an early warning signal.

[0021] The indoor positioning and navigation module is used to establish a warehouse management coordinate system, and generate product name data, shelf location coordinate data and a route map according to the warehouse management coordinate system and send them to the corresponding warehouse personnel.

[0022] The key access restriction module is used to generate a number of key data according to a time period. The key data is input to the warehouse staff end according to a time period. The key data is used to start the goods data management module, the inventory monitoring and early warning module and the indoor positioning and navigation module.

[0023] The intelligent warehouse management system based on high-precision indoor positioning has achieved high efficiency, accuracy and security in warehousing operations by integrating four core modules: product data management module, inventory monitoring and early warning module, indoor positioning navigation module and key access restriction module. It not only optimizes the warehousing, storage, inventory counting and outbound processes of goods, but also significantly improves the real-time and accuracy of inventory monitoring, while ensuring strict control of access to sensitive modules.

[0024] The product data management module includes a product data collection unit, a product quantity calculation unit and a product data integration unit: The product data acquisition unit is used to first obtain the first mass data of a single product using a weight sensor, and then obtain the corresponding product name data and shelf number data, wherein the format of the shelf number data is shelf number-shelf layer number.

[0025] The product data collection unit integrates advanced weight sensor technology to capture and record the first quality data of the product in real time, that is, the accurate weight of a single product. At the same time, it simultaneously collects the product name data and detailed shelf number data to ensure that the information of each product is recorded completely and accurately, laying a solid foundation for subsequent data processing and analysis.

[0026] The goods quantity calculation unit is used to obtain total mass data after all goods are placed, calculate the quantity of goods according to the first mass data and the total mass data, and output the goods quantity data.

[0027] The goods quantity calculation unit uses an intelligent algorithm to accurately calculate the number of goods. After placing all the goods, it first obtains the total mass data provided by the weight sensor, and then combines the first mass data of the individual goods collected previously to calculate the actual quantity of each product through a precise algorithm. This not only improves the calculation efficiency, but also greatly reduces the errors that may be caused by manual counting, ensures the accuracy of the goods quantity, and provides reliable data support for warehouse management.

[0028] The product data integration unit is used to establish and store a first corresponding relationship among the shelf number data, the first quality data, the product quantity data and the product name data.

[0029] The product data integration unit intelligently integrates key information such as shelf number data, first quality data, product quantity data and product name data to form a complete data chain. Through this process, it not only facilitates subsequent data query and retrieval, but also provides comprehensive and accurate data support for subsequent operations such as inventory monitoring, early warning and product scheduling, effectively improving the overall efficiency and accuracy of warehouse management.

[0030] The goods data management module achieves comprehensive and accurate management of goods information in the warehouse through an integrated data processing process. First, it uses high-precision weight sensors to collect the weight data of individual goods, and simultaneously records the name of the goods and the specific shelf number where they are stored, providing a solid data foundation for subsequent quantity calculations and location tracking. Then, the collected total mass data is compared and analyzed with the quality data of individual goods through intelligent algorithms, and the actual quantity of each product is calculated quickly and accurately, effectively avoiding errors caused by manual counting. Finally, all relevant data are integrated, detailed correspondence is established and safely stored, providing strong data support for inventory monitoring, early warning and subsequent goods scheduling.

[0031] The inventory monitoring and early warning module includes a preset data configuration unit, a real-time data acquisition unit, a quantity calculation and comparison unit, and an early warning signal generation unit: The preset data configuration unit is used to establish an inventory monitoring feedback mechanism, and input the first corresponding relationship and the corresponding minimum product quantity data into the inventory monitoring feedback mechanism.

[0032] The preset data configuration unit allows users to set inventory monitoring parameters according to actual needs, including the first correspondence of goods and the corresponding minimum quantity data of goods. By inputting these key data into the inventory monitoring feedback mechanism, it provides clear standards and basis for subsequent real-time data monitoring and the generation of early warning signals, ensuring the pertinence and effectiveness of inventory monitoring.

[0033] The real-time data acquisition unit is used to acquire the current total weight data corresponding to the current shelf number data in real time using the weight sensor.

[0034] The real-time data acquisition unit uses a high-precision weight sensor to continuously collect the total weight data corresponding to the current shelf number and transmit it to the system for processing in real time, ensuring the timeliness and accuracy of the inventory data, and providing a solid data foundation for subsequent inventory quantity calculations and the generation of early warning signals. Through the work of the real-time data acquisition unit, it can quickly respond to changes in inventory status and provide timely and effective support for warehouse management.

[0035] The quantity calculation and comparison unit is used to calculate and output the current quantity data of the goods according to the current total weight data and the first mass data.

[0036] The quantity calculation and comparison unit uses a mathematical model to quickly calculate the current inventory quantity of goods based on the current total weight data provided by the real-time data acquisition unit and the individual product quality data in the preset data configuration unit. Subsequently, the calculated current quantity of goods is compared and analyzed with the preset minimum quantity of goods to determine whether the inventory is at a safe level. This not only improves the efficiency and accuracy of inventory quantity calculation, but also provides a key basis for the subsequent generation of early warning signals.

[0037] The warning signal generating unit in the inventory monitoring and warning module is used to compare the current product quantity data with the minimum product quantity data. If the current product quantity data is less than the minimum product quantity data, the difference between the minimum product quantity and the current product quantity is calculated and output as the replenishment quantity data to generate a warning signal. The warning signal includes the current shelf number data, product name data and replenishment quantity data.

[0038] When the quantity calculation and comparison unit determines that the current quantity of goods is lower than the minimum quantity of goods, the early warning mechanism is immediately activated. First, the difference between the minimum quantity of goods and the current quantity of goods is calculated as the replenishment quantity data, and then a complete early warning signal is generated in combination with the current shelf number data and the product name data. The early warning signal will be sent to the warehouse staff in time to remind them to pay attention to the insufficient inventory and take corresponding measures to replenish the goods. Through the work of the early warning signal generation unit, the occurrence of out-of-stock situations can be effectively prevented and the smooth progress of warehouse management can be guaranteed.

[0039] The inventory monitoring and early warning module is the core component of the intelligent warehouse management system. Through the integrated monitoring and early warning mechanism, it realizes real-time and accurate monitoring of inventory status. First, the inventory monitoring feedback mechanism is established through the preset data configuration unit to ensure that the system can monitor according to the preset inventory threshold. Subsequently, the real-time data acquisition unit uses a high-precision weight sensor to collect the total weight data of the current shelf in real time to ensure the timeliness and accuracy of the data. The quantity calculation and comparison unit quickly calculates the number of goods in the current inventory based on the collected real-time data and the preset single product quality data, and compares it with the preset minimum number of goods. Once the inventory level is lower than the preset threshold, the early warning signal generation unit will start immediately, automatically calculate the replenishment quantity, and generate an early warning signal containing detailed information to notify relevant personnel to replenish in time, thereby effectively avoiding the occurrence of out-of-stock situations and ensuring the smooth progress of warehouse management.

[0040] The indoor positioning and navigation module includes a coordinate system establishment unit, a personnel position capture unit, a position coordinate conversion unit, a path planning and matching unit, a path optimization selection unit, and a navigation information sending unit: The coordinate system establishing unit is used to construct a warehouse management coordinate system, and the warehouse management coordinate system includes a two-dimensional coordinate system, shelf position coordinate data and a corresponding first correspondence.

[0041] The coordinate system establishment unit is the basis of the indoor positioning and navigation module. Its effect is to build a clear and accurate warehouse management coordinate system. The warehouse management coordinate system not only contains the basic elements of the two-dimensional plane, but also incorporates the shelf location coordinate data and its corresponding relationship with the product name, providing a solid framework for subsequent location tracking and path planning.

[0042] The personnel position capture unit is used to capture and store the initial signal strength of the warehouse personnel using radio frequency identification technology.

[0043] The personnel position capture unit is a key link in the indoor positioning and navigation module to achieve personnel position tracking. Using radio frequency identification technology, the initial signal strength of warehouse personnel can be captured in real time and accurately, and stored, providing raw data support for subsequent position coordinate conversion, so that the system can calculate the movement trajectory and current position of warehouse personnel based on the change in signal strength. Through the work of the personnel position capture unit, the warehouse management system realizes dynamic monitoring and real-time tracking of personnel positions.

[0044] The position coordinate conversion unit is used to capture the current signal strength of the warehouse personnel, calculate the attenuation of the initial signal strength and the current signal strength using the signal attenuation model, and convert it into the warehouse personnel's position coordinate data.

[0045] The position coordinate conversion unit captures the current signal strength of the warehouse personnel and calculates the attenuation of the signal strength in combination with the preset signal attenuation model. Then, this attenuation is used to infer the current position coordinate data of the warehouse personnel, which not only realizes the precise positioning of the personnel, but also ensures the real-time and accuracy of the positioning data. Through the work of the position coordinate conversion unit, the warehouse management system can provide clear navigation guidance and position references for warehouse personnel.

[0046] The path planning and matching unit of the indoor positioning and navigation module is used to obtain the name data of the goods to be picked up, input the name data of the goods to be picked up into the warehouse management coordinate system, match the corresponding name data of the goods, extract the corresponding shelf location coordinate data, and use the greedy algorithm to generate several route maps connecting the warehouse personnel location coordinate data and the shelf location coordinate data.

[0047] The path planning and matching unit first obtains the name data of the goods to be picked up, and matches the corresponding shelf location coordinate data in the warehouse management coordinate system. Then, a greedy algorithm is used to generate multiple route maps connecting the current location of the warehouse staff and the shelf location of the goods. It not only considers the feasibility and efficiency of the route, but also avoids path conflicts with other warehouse staff as much as possible. Through the work of the path planning and matching unit, the warehouse management system can provide warehouse staff with a variety of feasible navigation solutions for them to choose from.

[0048] The path optimization selection unit of the indoor positioning and navigation module is used to calculate the lengths of several route maps respectively, generate route length data, establish a second correspondence between several warehouse personnel location coordinate data, product name data, shelf location coordinate data, route maps and route length data, and find and store the second correspondence with the smallest route length data among the several second correspondences.

[0049] The path optimization selection unit first calculates the length of multiple route maps generated by the path planning and matching unit and generates corresponding route length data. Then, it establishes a second correspondence including warehouse personnel location coordinate data, product name data, shelf location coordinate data, route map and route length data. Finally, the optimal path is determined by finding the item with the smallest route length data in these second correspondences and stored. This not only ensures the efficiency and accuracy of the selected path, but also improves the work efficiency and satisfaction of warehouse personnel.

[0050] The navigation information sending unit of the indoor positioning navigation module is used to send the product name data, shelf location coordinate data and route map in the second corresponding relationship to the corresponding warehouse personnel end.

[0051] The navigation information sending unit is responsible for sending the optimal path information determined by the path optimization selection unit to the corresponding warehouse personnel. The warehouse personnel can clearly understand the shelf location they need to go to and the best walking route. At the same time, the navigation information sending unit also ensures the timeliness and accuracy of the information, providing warehouse personnel with efficient and convenient navigation services.

[0052] The indoor positioning and navigation module provides efficient and accurate navigation services for warehouse personnel. First, a two-dimensional coordinate system suitable for the warehouse environment is constructed through the coordinate system establishment unit, and the shelf position coordinate data and its corresponding relationship are integrated, which lays the foundation for subsequent positioning and navigation. Subsequently, the personnel position capture unit uses radio frequency identification technology to capture the initial signal strength of the warehouse personnel in real time, realizing the preliminary positioning of the personnel position. The position coordinate conversion unit further converts the captured signal strength into specific position coordinate data through the signal attenuation model, realizing the accurate tracking of the warehouse personnel position. On this basis, the path planning and matching unit matches the corresponding shelf position in the warehouse management coordinate system according to the name of the goods to be extracted, and generates multiple possible route maps using the greedy algorithm. Then, the path optimization selection unit calculates the length of these route maps and finds the optimal route for storage. Finally, the navigation information sending unit sends the information containing the name of the goods, the shelf position and the optimal route map to the corresponding warehouse personnel end, guiding them to complete the task of extracting goods quickly and accurately. The operation process of the entire indoor positioning and navigation module is efficient and intelligent, which greatly improves the efficiency and accuracy of warehouse management.

[0053] The key access restriction module includes a periodic key generation unit, a periodic key distribution unit, a personnel authority verification unit, and a key management update unit: The periodic key generation unit is used to set a time period and generate a number of daily key data according to the time period, and the time period is 24 hours.

[0054] The periodic key generation unit automatically generates a series of key data valid for the day according to the preset time period, ensuring the timeliness and uniqueness of the key, avoiding the security risks that may be caused by long-term use of the key, and also providing basic data support for subsequent key distribution and authority verification.

[0055] The periodic key distribution unit is used to send a number of daily key data to the warehouse personnel end according to the time period.

[0056] The periodic key distribution unit is responsible for accurately distributing the generated daily key data to the designated warehouse personnel, ensuring that each warehouse personnel can obtain the valid keys required for their work in a timely manner, so that they can successfully access and perform related tasks. By regularly updating and distributing keys, access control is further strengthened to prevent abuse and misuse of keys.

[0057] The personnel authority verification unit is used to establish a key access permission window in the goods data management module, the inventory monitoring and early warning module and the indoor positioning and navigation module, and send a number of key data of the day to the key access permission window. The key access permission window receives the current key data and compares the current key data with the key data of the day. If the current key data matches the key data of the day, the access permissions of the goods data management module, the inventory monitoring and early warning module and the indoor positioning and navigation module are opened.

[0058] The personnel authority verification unit has established a strict key access permission window. When warehouse personnel try to access these modules, they will first be required to verify their current key data. By comparing the input key with the key data valid on that day, the identity and authority of the visitor can be quickly determined. Access is allowed only when the keys match, thus achieving high-intensity security protection for sensitive modules.

[0059] The key management and updating unit is used to delete the key data of the day in the time period before the current time period after generating the key data of the day.

[0060] After generating new key data for the day, the key management update unit automatically deletes the key data of the previous time period to prevent the old key from being maliciously used. This regular cleaning and updating practice not only reduces the complexity and cost of system maintenance, but also greatly improves the efficiency and security of key management, providing a strong guarantee for the long-term stable operation of the warehouse management system.

[0061] The key access restriction module implements refined access control of sensitive modules in the warehouse management system, which not only ensures the security and timeliness of data access, but also effectively prevents unauthorized access through dynamic key management and permission verification mechanisms, thus ensuring smooth warehouse operations and data security.

[0062] The intelligent warehouse management system based on high-precision indoor positioning has achieved high efficiency, accuracy and security in warehousing operations by integrating four core modules: product data management module, inventory monitoring and early warning module, indoor positioning navigation module and key access restriction module. It not only optimizes the warehousing, storage, inventory counting and outbound processes of goods, but also significantly improves the real-time and accuracy of inventory monitoring, while ensuring strict control of access to sensitive modules.

[0063] Example 2, refer to Figure 2 , provides an intelligent warehouse management method based on high-precision indoor positioning, including the following steps: Step S1, obtain and enter the first quality data, product name data and shelf number data of a single product, obtain the total quality data, calculate the quantity of the product based on the first quality data and the total quality data and output it as the quantity data of the product.

[0064] Step S1 establishes a solid foundation for warehouse management by comprehensively collecting and entering various key data of the goods, and determining and outputting the quantity data of the goods by calculating the total mass data, ensuring the accuracy and completeness of the goods information, and providing reliable data support for subsequent inventory management, monitoring and route planning.

[0065] Step S2, establish a first correspondence between the shelf number data, the first quality data, the product quantity data and the product name data, establish an inventory monitoring feedback mechanism, input the first correspondence and the minimum product quantity data into the inventory monitoring feedback mechanism, obtain the current total quality data and calculate the current product quantity data, compare the current product quality data with the minimum product quality data and output a warning signal.

[0066] Based on step S1, step S2 further establishes the association between the product information and the inventory monitoring feedback mechanism. By constructing a first corresponding relationship and inputting the first corresponding relationship and the minimum product quantity data into the inventory monitoring feedback mechanism, the current product quantity is calculated in real time and compared with the preset minimum product quantity. Once insufficient inventory is found, an early warning signal is immediately output, thereby effectively preventing the risk of out-of-stock and ensuring smooth warehousing operations.

[0067] Step S3, establish a warehouse management coordinate system, capture the warehouse personnel position signal, input the warehouse personnel position signal into the warehouse management coordinate system to generate warehouse personnel position coordinate data, obtain the name data of the goods to be extracted, input the name data of the goods to be extracted into the warehouse management coordinate system, match the corresponding goods name data, extract the corresponding shelf location coordinate data, generate several route maps connecting the warehouse personnel position coordinate data and the shelf location coordinate data, calculate the length of several route maps respectively, generate route length data, establish several second corresponding relationships among the warehouse personnel position coordinate data, the goods name data, the shelf location coordinate data, the route map and the route length data, find the second corresponding relationship with the smallest route length data among the several second corresponding relationships, and send the goods name data, the shelf location coordinate data and the route map in the second corresponding relationship to the corresponding warehouse personnel end.

[0068] Step S3 is the core of the intelligent warehouse management method, which realizes the precise association between the warehouse personnel's position and the goods' position, and automatically plans the optimal pickup route. By establishing a warehouse management coordinate system, the warehouse personnel's position signal is captured in real time, and combined with the name data of the goods to be picked up, it is quickly matched to the corresponding shelf position coordinates. Subsequently, multiple possible pickup route maps are generated, and the length of each route is calculated. Finally, the shortest route is selected and sent to the warehouse personnel, which not only improves the efficiency of picking up goods, but also ensures the accuracy and optimality of the pickup route.

[0069] Step S4, generating a number of key data according to a time period, and inputting the key data to the warehouse staff end according to a time period.

[0070] Step S4 generates and distributes key data in a time period, ensuring that only authorized personnel can access it, effectively preventing the risk of unauthorized access and data leakage, enhancing the security and stability of the system, and providing a strong guarantee for the smooth progress of warehouse management.

[0071] The intelligent warehousing management method based on high-precision indoor positioning realizes the comprehensive intelligent management of warehousing operations, which not only improves the accuracy and completeness of product information, but also ensures the smooth and efficient warehousing operation through real-time inventory monitoring and route planning. At the same time, the implementation of the key access control mechanism further improves the security and stability of the system, elevating warehousing management to a new level and providing strong support for the intelligent development of the modern warehousing industry.

[0072] It should be understood by those skilled in the art that the embodiments of the present invention may be provided as methods, systems or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media containing computer-usable program code. Among them, the storage medium may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (Static Random Access Memory, referred to as SRAM), electrically erasable programmable read-only memory (Electrically Erasable Programmable Read Only Memory, referred to as EEPROM), erasable programmable read-only memory (Erasable Programmable Read Only Memory, referred to as EPROM), programmable read-only memory (Programmable Red Only Memory, referred to as PROM), read-only memory (Read Only Memory, referred to as ROM), magnetic memory, flash memory, magnetic disk or optical disk. These computer program instructions may also be stored in a computer-readable memory that can guide a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory produce a manufactured product including an instruction device, which is implemented in the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0073] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. Intelligent warehouse management system based on high-precision indoor positioning, characterized by: Including goods data management module, inventory monitoring and early warning module, indoor positioning and navigation module and key access restriction module: The product data management module is used to obtain and input the first quality data, product name data and shelf number data of a single product, obtain the total quality data, calculate the quantity of the product according to the first quality data and the total quality data and output it as the quantity data of the product, and establish a first correspondence between the shelf number data, the first quality data, the quantity data of the product and the product name data; The inventory monitoring and early warning module is used to establish an inventory monitoring feedback mechanism, input the first corresponding relationship and the preset minimum product quantity data into the inventory monitoring feedback mechanism, obtain the current total mass data in real time, calculate the current product quantity data according to the current total mass data and the first mass data, compare the current product quality data with the minimum product quality data and output an early warning signal; The indoor positioning and navigation module is used to establish a warehouse management coordinate system, and generate product name data, shelf location coordinate data and a route map according to the warehouse management coordinate system and send them to the corresponding warehouse personnel terminal; The key access restriction module is used to generate a number of key data according to a time period, and the key data is input to the warehouse personnel end according to a time period. The key data is used to start the goods data management module, the inventory monitoring and early warning module and the indoor positioning and navigation module.

2. The intelligent warehouse management system based on high-precision indoor positioning according to claim 1, characterized in that: The product data management module includes a product data collection unit, a product quantity calculation unit and a product data integration unit: The product data acquisition unit is used to first obtain first mass data of a single product using a weight sensor, and then obtain corresponding product name data and shelf number data, wherein the format of the shelf number data is shelf number-shelf layer number; The goods quantity calculation unit is used to obtain total mass data after placing all goods, calculate the goods quantity according to the first mass data and the total mass data, and output the goods quantity data; The product data integration unit is used to establish and store a first corresponding relationship among shelf number data, first quality data, product quantity data and product name data.

3. The intelligent warehouse management system based on high-precision indoor positioning as claimed in claim 2, characterized in that: The inventory monitoring and early warning module includes a preset data configuration unit, a real-time data acquisition unit, a quantity calculation and comparison unit, and an early warning signal generation unit: The preset data configuration unit is used to establish an inventory monitoring feedback mechanism, and input the first corresponding relationship and the corresponding minimum product quantity data into the inventory monitoring feedback mechanism; The real-time data acquisition unit is used to use the weight sensor to acquire the current total weight data corresponding to the current shelf number data in real time; The quantity calculation and comparison unit is used to calculate and output the current quantity data of goods according to the current total weight data and the first mass data.

4. The intelligent warehouse management system based on high-precision indoor positioning as claimed in claim 3, characterized in that: The warning signal generating unit in the inventory monitoring and warning module is used to compare the current product quantity data with the minimum product quantity data. If the current product quantity data is less than the minimum product quantity data, the difference between the minimum product quantity and the current product quantity is calculated and output as the replenishment quantity data to generate a warning signal. The warning signal includes the current shelf number data, product name data and replenishment quantity data.

5. The intelligent warehouse management system based on high-precision indoor positioning as claimed in claim 4, characterized in that: The indoor positioning and navigation module includes a coordinate system establishment unit, a personnel position capture unit, a position coordinate conversion unit, a path planning and matching unit, a path optimization selection unit and a navigation information sending unit: The coordinate system establishing unit is used to construct a warehouse management coordinate system, and the warehouse management coordinate system includes a two-dimensional coordinate system, shelf position coordinate data and a corresponding first correspondence; The personnel position capturing unit is used to capture and store the initial signal strength of the warehouse personnel using radio frequency identification technology; The position coordinate conversion unit is used to capture the current signal strength of the warehouse personnel, calculate the attenuation of the initial signal strength and the current signal strength using the signal attenuation model, and convert it into the warehouse personnel position coordinate data.

6. The intelligent warehouse management system based on high-precision indoor positioning as claimed in claim 5, characterized in that: The path planning and matching unit of the indoor positioning and navigation module is used to obtain the name data of the goods to be extracted, input the name data of the goods to be extracted into the warehouse management coordinate system, match the corresponding name data of the goods, extract the corresponding shelf location coordinate data, and use a greedy algorithm to generate several route maps connecting the warehouse personnel location coordinate data and the shelf location coordinate data.

7. The intelligent warehouse management system based on high-precision indoor positioning according to claim 6, characterized in that: The path optimization selection unit of the indoor positioning navigation module is used to calculate the lengths of several route maps respectively, generate route length data, establish a second correspondence between several warehouse personnel position coordinate data, product name data, shelf position coordinate data, route maps and route length data, and find and store the second correspondence with the smallest route length data among the several second correspondences.

8. The intelligent warehouse management system based on high-precision indoor positioning according to claim 7, characterized in that: The navigation information sending unit of the indoor positioning navigation module is used to send the product name data, shelf location coordinate data and route map in the second corresponding relationship to the corresponding warehouse personnel end.

9. The intelligent warehouse management system based on high-precision indoor positioning according to claim 8, characterized in that: The key access restriction module includes a periodic key generation unit, a periodic key distribution unit, a personnel authority verification unit and a key management update unit: The periodic key generation unit is used to set a time period and generate a number of daily key data according to the time period; The periodic key distribution unit is used to send a number of daily key data to the warehouse personnel end according to the time period; The personnel authority verification unit is used to establish a key access permission window in the goods data management module, the inventory monitoring and warning module, and the indoor positioning and navigation module, and send a number of key data of the day to the key access permission window. The key access permission window receives the current key data, compares the current key data with the key data of the day, and if the current key data matches the key data of the day, then the access permission of the goods data management module, the inventory monitoring and warning module, and the indoor positioning and navigation module is opened; The key management and updating unit is used to delete the key data of the day in the time period before the current time period after generating the key data of the day.

10. An intelligent warehouse management method based on high-precision indoor positioning, characterized in that: The following steps are involved: Step S1, obtaining and entering the first mass data, the product name data and the shelf number data of a single product, obtaining the total mass data, calculating the quantity of the product according to the first mass data and the total mass data and outputting it as the quantity data of the product; Step S2, establishing a first correspondence between the shelf number data, the first quality data, the product quantity data and the product name data, establishing an inventory monitoring feedback mechanism, inputting the first correspondence and the minimum product quantity data into the inventory monitoring feedback mechanism, obtaining the current total quality data and calculating the current product quantity data, comparing the current product quality data with the minimum product quality data and outputting a warning signal; Step S3, establish a warehouse management coordinate system, capture the warehouse personnel position signal, input the warehouse personnel position signal into the warehouse management coordinate system to generate warehouse personnel position coordinate data, obtain the name data of the goods to be extracted, input the name data of the goods to be extracted into the warehouse management coordinate system, match the corresponding goods name data, extract the corresponding shelf position coordinate data, generate several route maps connecting the warehouse personnel position coordinate data and the shelf position coordinate data, calculate the length of several route maps respectively, generate route length data, establish several second corresponding relationships among the warehouse personnel position coordinate data, the goods name data, the shelf position coordinate data, the route map and the route length data, find the second corresponding relationship with the smallest route length data among the several second corresponding relationships, and send the goods name data, the shelf position coordinate data and the route map in the second corresponding relationship to the corresponding warehouse personnel end; Step S4, generating a number of key data according to a time period, and inputting the key data to the warehouse staff end according to a time period.

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