Intelligent management method and system for tire blank storage based on RFID

Abstract

The invention provides a tire blank storage intelligent management method and system based on RFID, and relates to the technical field of storage intelligent management. The method comprises the following steps: firstly, deploying an RFID reader and an antenna in a reservoir area, and constructing a communication network; establishing a storage location code, coordinate mapping and an FIFO data table in the database server; pasting an RFID tag on the tire blank and collecting radio frequency data; space coordinates are obtained through multi-antenna cooperative positioning, a storage location is mapped, and an FIFO data table is updated; grouping according to models, sequencing storage time, and distributing the highest priority for the three records stored in the storage at the earliest; and the priority storage location information is pushed to a terminal display device in real time in a graphical mode and a digital mode, and an operator updates data and recovers the storage location after leaving the storage. Through accurate positioning, FIFO sorting and visual guiding, efficient and accurate tire blank storage management is achieved.

Description

Technical Field

[0001] This invention relates to the field of intelligent warehouse management technology, and in particular to an RFID-based intelligent management method and system for embryo storage. Background Technology

[0002] Tire manufacturers typically need to temporarily store, transfer, and trace a large number of tire blanks after the molding process. Small and medium-sized enterprises (SMEs) still mainly rely on forklifts or tire blank trucks for manual handling, with each outbound shipment usually taking 5-10 minutes and an error rate as high as 5%-7%. Although large enterprises have introduced automated systems such as suspension cable systems, EMS, and electric monorails, the investment in a single system often reaches tens of millions of yuan and lacks flexibility, making it uneconomical for SMEs.

[0003] Driven by the wave of smart manufacturing, indoor sensing technologies such as Radio Frequency Identification (RFID), UWB, and Bluetooth positioning are beginning to be used for refined warehouse management. Among them, RFID, with its advantages of non-line-of-sight, high-concurrency reading, low cost, and strong resistance to obstruction, is considered the optimal choice for the digital upgrade of fetal embryo storage. Through multi-reader collaboration, RSSI inversion positioning, and a first-in-first-out (FIFO) strategy, outbound efficiency can be achieved that is more than 100% higher than that of manual labor without significant modifications to the factory.

[0004] Most existing RFID embryo management solutions remain at the "traceability" level, failing to form an integrated closed loop encompassing precise warehouse location coordinates, automatic FIFO sorting, and visual guidance; furthermore, they lack solutions suitable for 1×10 2 m 2 A multi-reader redundant location algorithm for high-density storage locations and a human-computer interaction interface with low learning cost. Summary of the Invention

[0005] In order to overcome the shortcomings of the existing technology, the purpose of this invention is to provide a smart management method and system for tire embryo storage based on RFID, which significantly improves outbound efficiency and reduces error rate through an integrated closed loop of "precise coordinates + FIFO automatic sorting + visual guidance".

[0006] To achieve the above objectives, the present invention provides the following solution:

[0007] A smart management method for embryo storage based on RFID includes:

[0008] Several RFID readers and corresponding antennas are installed in the embryo storage area according to preset coordinates, and the RFID readers are connected to the database server and terminal display device through a switch to build a hardware communication network.

[0009] Establish a mapping relationship between the storage location code and the storage location plane coordinates and antenna coordinates in the database server, and create a first-in-first-out data table;

[0010] Each of the in-warehouse tire embryo groups is affixed with an ultra-high frequency RFID tag containing the tire embryo code, production time, and warehousing time fields. After the tire embryo group is transported to any available storage location, each of the RFID readers collects the radio frequency data frames generated by the RFID tag at a preset cycle.

[0011] Multi-antenna cooperative positioning processing is performed based on the radio frequency data frame to obtain the spatial coordinates of the embryo group, and the spatial coordinates are mapped to the corresponding storage location code;

[0012] Write the storage location code and the entry time into the first-in-first-out data table, and mark the storage location status as "occupied";

[0013] Retrieve all records with the status "occupied" from the first-in-first-out data table, group the embryos of each model according to their embryo codes, sort them in ascending order by their entry time, and assign the highest priority to the first three records in each group that entered the warehouse earliest.

[0014] The storage location information of the highest priority tire preform group is published in real time to the operation panel and remote management panel of the terminal display device in both graphical and digital modes. When the operator completes the assembly of the target tire preform according to the guidance of the operation panel and the remote management panel and the RFID reader detects that the corresponding tag has left the storage location, the status field of the tire preform group in the first-in-first-out data table is updated to "out of storage" and the out-of-storage time is recorded to restore the storage location status.

[0015] Preferably, the RFID reader also includes a polling period of no more than 2 seconds and a transmission power of no more than 30 dBm.

[0016] Preferably, multi-antenna cooperative positioning processing is performed based on the radio frequency data frame to obtain the spatial coordinates of the embryo group, and the spatial coordinates are mapped to the corresponding storage location code, including:

[0017] The radio frequency data frames are sorted according to the RFID reader number and timestamp;

[0018] Calculate the mean RSSI of each antenna and select the four antennas with the highest mean.

[0019] For the four antennas, the RSSI of each antenna is converted into the tire-antenna distance value according to the logarithmic path loss model, and abnormal distance values ​​exceeding three standard deviations are removed.

[0020] The weighted least squares method is used to solve the two-dimensional spatial coordinates of the embryo in the warehouse plane coordinate system, and the arithmetic mean of multiple measured coordinates of the same embryo group is taken to obtain the final coordinates.

[0021] The two-dimensional spatial coordinates are compared with the pre-stored storage location plane coordinate mapping relationship in the database server to determine the corresponding storage location code.

[0022] Preferably, the polling cycle and transmission power of the RFID reader are dynamically adjusted by the electromagnetic environment on site.

[0023] Preferably, before performing multi-antenna cooperative localization processing based on the radio frequency data frame, the method further includes:

[0024] Expired data in the radio frequency data frame is removed according to a preset time window threshold.

[0025] Preferably, the four antennas are selected only when the variance of the RSSI mean is below a preset threshold.

[0026] Preferably, any three of the four antennas are not collinear.

[0027] An RFID-based intelligent management system for embryo storage includes:

[0028] The hardware deployment unit is used to install several RFID readers and corresponding antennas in the tire embryo storage area according to preset coordinates, and connect the RFID readers to the database server and terminal display device through a switch to build a hardware communication network.

[0029] The data initialization unit is used to establish a mapping relationship between the storage location code and the storage location plane coordinates and antenna coordinates in the database server, and to create a first-in-first-out data table.

[0030] The warehouse entry identification collection unit is used to affix ultra-high frequency RFID tags containing the embryo code, production time and warehouse entry time fields to each embryo group to be warehoused. After the embryo group is transported to any available warehouse location, each RFID reader collects the radio frequency data frames generated by the RFID tags at a preset period.

[0031] The positioning and mapping unit is used to perform multi-antenna cooperative positioning processing according to the radio frequency data frame, obtain the spatial coordinates of the embryo group, and map the spatial coordinates into the corresponding storage location code;

[0032] The status update unit is used to write the storage location code and the entry time into the first-in-first-out data table, and mark the storage location status as "occupied";

[0033] The priority calculation unit is used to retrieve all records with the status of "occupied" in the first-in-first-out data table, group the tire blanks of each model according to the tire blank code, sort them in ascending order according to the entry time, and assign the highest priority to the first three records of the earliest entry in each group.

[0034] The information publishing and outbound write-back unit is used to publish the storage location information of the highest priority tire assembly to the operation panel and remote management panel of the terminal display device in real time in both graphical and digital modes. When the operator completes the assembly of the target tire assembly according to the guidance of the operation panel and the remote management panel and the RFID reader detects that the corresponding tag has left the storage location, the status field of the tire assembly in the first-in-first-out data table is updated to "outbound" and the outbound time is recorded to restore the storage location status.

[0035] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:

[0036] This invention deploys multiple RFID readers and antennas in the embryo storage area to build a hardware communication network. It also establishes precise storage location coordinate mapping and a FIFO data table in a database server. This enables the system to collect radio frequency data frames in real time and calculate the centimeter-level spatial coordinates of the embryos based on a multi-antenna redundancy algorithm. These coordinates are then mapped to specific storage locations, and the location information is synchronously written into the FIFO table along with the storage time. Subsequently, the system groups embryos by model and sorts them by storage time, automatically assigning the highest priority to the first three records in each group, achieving second-level priority calculation. The storage location information of the highest priority embryos is then pushed to the operation panel and remote management panel in real time through both graphical and digital modes. Frontline operators can intuitively obtain outbound guidance, and the system automatically updates the status and restores the storage location after the operation is completed. Compared with existing solutions that are simply "traceable" or limited to location, this invention forms a closed loop of "precise coordinates + FIFO automatic sorting + visual guidance". This not only significantly improves the efficiency of location and outbound operations (up to more than 150% of the efficiency of manual mode), but also reduces the error rate to below 0.5%. At the same time, the stability of location is ensured through multi-antenna collaborative algorithms and threshold screening. Furthermore, the terminal interface is intuitive and easy to use, reducing the learning cost and realizing intelligent management of embryo storage with low investment, high precision, and easy operation and maintenance. Attached Figure Description

[0037] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0038] Figure 1 A flowchart of the method provided in an embodiment of the present invention;

[0039] Figure 2 A system architecture diagram provided for embodiments of the present invention;

[0040] Figure 3The network structure diagram provided in the embodiments of the present invention;

[0041] Figure 4 Software functional block diagram provided for embodiments of the present invention

[0042] Figure 5 This is a schematic diagram of the embryo positioning principle provided in an embodiment of the present invention;

[0043] Figure 6 System ER diagram provided for embodiments of the present invention

[0044] Figure 7 A schematic diagram of a first-in-first-out dual-mode display panel provided in an embodiment of the present invention.

[0045] Figure 8 This is a schematic diagram of the topology provided in an embodiment of the present invention;

[0046] Figure 9 This is a schematic diagram of antenna deployment provided in an embodiment of the present invention;

[0047] Figure 10 A schematic diagram showing the comparison of outbound time between the experimental group and the control group for different shifts, provided in an embodiment of the present invention;

[0048] Figure 11 A schematic diagram showing the error rate of embryo delivery for each shift before and after the system is used, as provided in this embodiment of the invention.

[0049] Figure 12 This is a schematic diagram illustrating the effect of the use of the present invention on the relationship between different outbound times and outbound error rates;

[0050] Figure 13 This is a schematic diagram of the display result presented by the first-in-first-out panel provided in an embodiment of the present invention. Detailed Implementation

[0051] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0052] The purpose of this invention is to provide a smart management method and system for embryo storage based on RFID, which significantly improves outbound efficiency and reduces error rate through an integrated closed loop of "precise coordinates + FIFO automatic sorting + visual guidance".

[0053] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0054] Figure 1 The method flowchart provided in the embodiments of the present invention is as follows: Figure 1 As shown, this invention provides an RFID-based intelligent management method for embryo storage, comprising:

[0055] Step 100: Install several RFID readers and corresponding antennas in the tire inventory area according to preset coordinates, and connect the RFID readers to the database server and terminal display device through a switch to build a hardware communication network.

[0056] Step 200: Establish the mapping relationship between the storage location code and the storage location plane coordinates and antenna coordinates in the database server, and create a first-in-first-out data table;

[0057] Step 300: Affix an UHF RFID tag containing the tire code, production time and storage time fields to each tire assembly to be put into storage. After the tire assembly is transported to any available storage location, each RFID reader collects the radio frequency data frames generated by the RFID tag at a preset cycle.

[0058] Step 400: Perform multi-antenna cooperative positioning processing based on the radio frequency data frame to obtain the spatial coordinates of the embryo group, and map the spatial coordinates to the corresponding storage location code;

[0059] Step 500: Write the storage location code and entry time into the first-in-first-out data table, and mark the storage location status as "occupied";

[0060] Step 600: Retrieve all records with the status "occupied" in the first-in-first-out data table, group the tire blanks of each model according to the tire blank code, sort them in ascending order by the time of entry into the warehouse, and assign the highest priority to the first three records of each group that entered the warehouse earliest.

[0061] Step 700: The storage location information of the highest priority tire preform group is published in real time to the operation panel and remote management panel on the terminal display device in both graphical and digital modes. When the operator completes the assembly of the target tire preform according to the guidance of the operation panel and remote management panel and the RFID reader detects that the corresponding tag has left the storage location, the status field of the tire preform group in the first-in-first-out data table is updated to "out of storage" and the out-of-storage time is recorded to restore the storage location status.

[0062] This embodiment primarily targets two core user groups: frontline operators and back-end management teams. For operators directly involved in tire embryo transportation, the system design focuses on optimizing their workflow. Through automated information collection and an intuitive user interface, it enables "zero-key" information entry in the warehousing process, supporting flexible warehousing at any storage location. In the outbound process, precise positioning and sorting algorithms ensure that operators can quickly locate the target tire embryo, achieving a highly efficient "direct pickup and delivery" operation mode.

[0063] Designed for inventory management system administrators responsible for overall operations, the system provides comprehensive digital management tools, including modules for real-time inventory monitoring and anomaly data analysis. Through multi-dimensional data statistical analysis and visual reports, it helps managers accurately grasp inventory dynamics, optimize resource allocation, provide data support for production decisions, and ultimately achieve the management goals of improving inventory turnover and reducing management costs. The needs of these two user groups are organically unified in the system design, ensuring both the efficiency of frontline operations and the scientific nature of management decisions.

[0064] This embodiment mainly consists of two parts: hardware communication network and host computer software.

[0065] The hardware communication network integrates various devices such as RFID readers, RFID tags, switches, database servers, and terminal computers. This network is responsible for collecting, storing, and displaying data related to the embryo, and can upload the detection results in a timely manner. Specifically, the RFID readers and RFID tags work together to provide basic data for embryo location detection; the switches ensure smooth data communication between various devices; the database server stores the collected data; and the terminal computers serve as data display and operation devices, facilitating interaction with operators.

[0066] The host computer software is the core control and management platform of the system. Its main functions include accurate calculation of the location of tire blanks in the inventory area, visualization of inventory data, and querying and statistical analysis of various types of data. By using advanced algorithms and models, the host computer software can calculate the location of tire blanks in real time and accurately based on data collected from the hardware communication network. With an intuitive visualization interface, it displays inventory data in the form of charts and reports, making it easy for managers to quickly grasp the inventory status.

[0067] This embodiment's architecture is divided into five layers, as shown in the following structure: Figure 2 As shown.

[0068] The infrastructure layer consists of various hardware devices, and its role is to provide the hardware resources and network infrastructure required for data acquisition, transmission, storage and processing to the upper layers of the system, covering all aspects of support from the underlying hardware facilities to network communication links.

[0069] From the data acquisition layer to the data application layer, all belong to the user-oriented software environment. The data acquisition layer is responsible for collecting specific types of data, mainly including embryo barcodes and RSSI information. This raw data is the foundation for system operation and business processing.

[0070] The data processing layer undertakes the key data processing tasks. This layer completes the parsing of data barcodes, and uses specific algorithms to accurately calculate the location of embryos and select embryos for priority delivery, transforming the collected raw data into information with practical business value.

[0071] The data storage layer's function is to persistently save the processing results generated by the data processing layer to the database, ensuring data security and traceability. Furthermore, based on different business needs, the data application layer calls the data stored in the database to implement various application functions required by users, providing them with a convenient and efficient service experience, thus completing the entire system's process from underlying hardware support to end-user application.

[0072] Optionally, taking a specific storage area as an example, various hardware devices can be interconnected by comprehensively utilizing wired and wireless communication media to achieve real-time transmission of information on tire blank entry and exit. Figure 3 The diagram shown is a schematic of the network structure.

[0073] In the specific network setup process, twisted-pair cables are used as the physical connection medium to achieve wired connections between the switch and the database server, host, and reader, while coaxial cables are used to connect the reader and the antenna. Simultaneously, wireless communication is employed to achieve wireless interconnection between the antenna and the tag. In this way, various hardware devices work together to build a network architecture capable of real-time data transmission, ensuring the timely and accurate transmission of basic information about tire embryos in the inventory area, and providing strong support for efficient inventory management.

[0074] In the field of positioning technology, common types include Global Positioning System (GPS), BeiDou Navigation Satellite System, base station positioning, Bluetooth positioning, Wi-Fi positioning, RFID technology and UWB positioning, etc.

[0075] The first two technologies, with their high accuracy and wide coverage, have been widely used in outdoor scenarios such as vehicle navigation, outdoor sports, and transportation. However, both of these satellite positioning technologies have certain limitations. Their signals are easily affected by terrain, buildings, and other obstructions, which can lead to decreased positioning accuracy or even failure to locate. Therefore, they are usually not the preferred technologies in indoor positioning scenarios.

[0076] Base station positioning technology is mainly used for mobile phone positioning and tracking of high-value assets with a large range of movement. This technology is based on mobile communication base station networks, has wide coverage, good real-time performance, and can quickly respond to positioning requests. However, the accuracy of base station positioning is significantly affected by the density of base station distribution and the degree of signal interference (usually up to tens of meters).

[0077] Bluetooth and Wi-Fi positioning technologies demonstrate unique application value in indoor venues such as large shopping malls, airports, and museums, primarily for personnel and asset location management. Bluetooth positioning technology, relying on the Bluetooth Low Energy protocol, boasts high accuracy and flexible deployment. In indoor environments, its positioning accuracy can reach meter-level or even sub-meter level. Furthermore, Bluetooth beacons are small, inexpensive, and easily deployed in various indoor scenarios. However, Bluetooth signal propagation distance is limited, generally covering less than 100 meters, and the signal is easily attenuated by obstacles during propagation, negatively impacting positioning accuracy. Wi-Fi positioning technology leverages existing Wi-Fi network infrastructure, eliminating the need for large-scale deployment of additional positioning hardware, resulting in low deployment costs. However, its positioning accuracy is relatively limited, generally fluctuating between several meters and tens of meters, especially in complex environments with numerous signal interference sources, where accuracy degradation is more pronounced.

[0078] UWB positioning technology, with its unique technological advantages, has been widely used in specific environments such as factory workshops. This technology enables centimeter-level high-precision positioning of automated equipment such as automated guided vehicles and robots, thereby achieving precise management of goods storage locations and handling paths. Although it boasts strong anti-interference capabilities and good real-time data transmission, its deployment cost is relatively high.

[0079] RFID is a contactless positioning technology characterized by non-line-of-sight capability, high-speed identification, low cost, and strong penetration. RFID technology converts electrical signals into electromagnetic field signals, and transmits the stored data through the induced current on the tag, thereby enabling item identification, data exchange, and location functions. RFID can operate without a network; a single reader can read and identify a large number of electronic tags in seconds. This technology is widely used in environments such as warehouses, factories, and shopping malls.

[0080] Considering the dense storage space and the presence of large instruments and equipment obstructing the tire molding workshop, RFID technology, with its high positioning accuracy, strong anti-obstruction capability, and relatively stable performance in complex environments, has become the ideal choice for achieving precise positioning of tire blanks.

[0081] The implementation of RFID technology relies on the precise collaboration of hardware and software. The hardware system mainly consists of RFID readers, RFID antennas, and switches to ensure the real-time and accurate transmission of data. In practical use, the number of antennas deployed and the network structure are determined based on the size of the storage area and the antenna transmission power. After the antenna transmits a radio frequency signal, the tag acquires energy to activate and transmits its internal data. The reader receives the signal, processes the data, and calculates the tag's spatial coordinates using a pre-designed positioning algorithm.

[0082] The system utilizes the WYUAN W16-FD RFID reader, operating in the UHF band. It can connect to up to 16 external antennas, operates within a frequency range of 902MHz-928MHz, and can read at least 1000 tags per second, supporting simultaneous processing of multiple tags. Its output power is adjustable between 0-33dBm, and it offers excellent receiving sensitivity. It features a rich set of data interfaces, including USB, RS232, RS485, and TCP / IP, facilitating communication with other devices. Employing a wide-spectrum frequency hopping (FHSS) operating mode and equipped with an excellent anti-collision algorithm, it ensures accurate simultaneous identification of multiple tags. The system also utilizes the WYUAN RD915M-TX-6.5dB antenna.

[0083] The tire blank transfer vehicle has a structure similar to a train, consisting of a tractor and multiple carriages (i.e., tire blank cars). The tire blank car has the capacity to carry multiple tire blanks of different models, but in a single transport mission, each tire blank car is only allowed to carry a maximum of 4 tire blanks of the same model. These tire blanks of the same model constitute a tire blank group, and subsequent warehousing and warehousing operations are carried out in units of tire blank groups.

[0084] The tire blank loading and RFID tagging process is as follows: Load up to 4 tire blanks of the same model onto the tire blank transport vehicle, and then affix pre-programmed tags to each one. The tag data is pre-written via an RFID encoder and includes the following fields: tire blank code, production time, production machine number, production shift identifier, and warehousing time. It is necessary to ensure that the tire blank codes and warehousing times are consistent for all tire blanks loaded in a single operation, and that the combination of these two is globally unique throughout the entire production process.

[0085] The steps for automated tire warehousing, positioning, and information management are as follows: Using UHF RFID technology, distributed fixed antennas poll the coverage area every 30 seconds to collect tire tag data, which is then transmitted in real-time to the database server via Ethernet. The system calculates tire coordinates based on a multi-antenna signal strength positioning algorithm and updates real-time inventory status and location information through transactional database operations, ensuring the timeliness and accuracy of inventory information.

[0086] The intelligent guidance process for tire embryo release is as follows: a release task queue is generated based on a priority algorithm (FIFO), and the tire embryo specifications and location are displayed in real time through a dual-mode display dashboard. Operators can quickly locate the corresponding tire embryo according to operational needs.

[0087] The rule for determining whether a fetal embryo is to be released from storage is as follows: The system determines whether the fetal embryo is located within the storage area based on real-time storage location data, and uses this as the basis for whether to perform the release operation.

[0088] As a key component of this system, the system software must achieve precise coordination with the hardware communication network to ensure the effective implementation of the first-in, first-out (FIFO) management strategy for embryo delivery. This software system, with its carefully designed interfaces, provides users with a range of functions including automatic embryo delivery, automatic embryo retrieval, data querying, and data statistics. The specific functional architecture is as follows: Figure 4 As shown.

[0089] One of the core tasks of the backend management is to perform the initialization of basic data. The basic data involved includes storage location codes, storage location ranges, and antenna coordinate definitions. This data exists in a highly integrated and indivisible form, constituting the basic data unit for system operation.

[0090] Establishing the mapping relationship between the aforementioned basic data is crucial during the actual operation of the system. For example, once the storage location code is bound to the corresponding coordinate range and the antenna to the installation location, the system can accurately calculate the storage location of the corresponding tire embryo by acquiring information from the tag through the antenna. Figure 5 As shown.

[0091] In this system, drivers and administrators are two key user roles for the application. Drivers can perform tasks such as automatic tire blank entry and exit without logging into the system. Administrators, on the other hand, are assigned dedicated accounts and granted appropriate permissions by the system administrator. Administrators are responsible for maintaining the system's basic data, as well as the statistics and analysis of data such as tire blanks.

[0092] The process of tire blanks being received into storage refers to the entire process of tire blanks being transported to a specific storage location within the storage area after the production process is completed. The process of tire blanks being released from storage refers to the process of tire blanks leaving the storage area and entering the next production stage.

[0093] The responsibilities of an administrator not only include daily querying and statistics of inventory data, but also handling abnormal tire data, regularly querying and promptly processing tires that have been in the inventory for a long time, thereby reducing the probability of tires becoming unusable due to long-term storage and ensuring the effective utilization of inventory resources.

[0094] The entities involved in this system include tire blanks, tire blank carts, tags, storage locations, readers, administrators, and system administrators. Specific logical relationships exist between these entities, as detailed below. Figure 6 As shown.

[0095] Entity attribute settings

[0096] Embryo: It has attributes such as embryo code, production time, work group, batch, etc. These attributes are used to comprehensively identify and trace relevant information of embryo.

[0097] Tire blank vehicle: Its attributes include tire blank vehicle code, usage frequency, etc. These attributes can be used to effectively manage the usage status and identification of tire blank vehicles.

[0098] Tag: It has attributes such as identification code, embryo information, X coordinate value, Y coordinate value, and can record its precise location and identity.

[0099] Antenna: It has attributes such as identification code and location, and is used to read information from the tag.

[0100] Reader: It has attributes such as identification code and antenna, and is used to collect and process tag information.

[0101] Storage location: The attributes include the location number, X-axis boundary values ​​X1 and X2, Y-axis boundary values ​​Y1 and Y2, and the idle status, which can accurately reflect the specific location and usage of the storage location.

[0102] Administrator: Has username and password attributes, used by the system to manage basic data such as storage locations and readers, as well as information such as inventory.

[0103] System Administrator: Its attributes are username and password, mainly used for administrator identification and login control.

[0104] First-In-First-Out (FIFO) Data Storage Architecture: The FIFO data table is specifically used to store the inbound and outbound information of tire embryos. By using the FIFO algorithm to process the data in this table, different types of tire embryos with priority for outbound processing can be selected from a large number of tire embryo data entries. See Table 1 for details of the specific data storage structure.

[0105] Table 1. First-In-First-Out (FIFO) Data Table Structure

[0106]

[0107] To effectively assist drivers in quickly and accurately locating tire blanks with priority for delivery, precise positioning of the tire blanks within the storage area is crucial. Since the storage area is an indoor space, positioning technologies such as BeiDou satellite navigation systems and GPS, which are primarily suited for outdoor environments, cannot meet the stringent positioning accuracy requirements of an indoor environment.

[0108] The following describes the working mechanism of tire embryo positioning using RFID technology. Tags are affixed to the surface of the tire embryo, each with a unique code to identify it. The reader transmits radio frequency (RF) signals via an antenna, creating a specific electromagnetic field. When the tire embryo enters this field, the tag receives the RF signal and is activated. It uses induced current to obtain energy and modulates its encoded information onto the RF signal, which is then transmitted back to the reader via the antenna. The reader receives the signal from the tag, performs demodulation and decoding to obtain relevant tire embryo information, and then actively sends the processed data to a host computer according to the TCP / IP protocol. The host computer receives, stores, and analyzes this data. Using pre-defined storage location and antenna position information, it runs a positioning algorithm to compare and calculate, thereby determining the specific storage location of the tire embryo.

[0109] The embryo positioning algorithm in this embodiment is as follows:

[0110] Input: Filter the data table "Fetal Embryo Location Update Table" to find all tag location update records for a specific tire code that have the same entry time and exit status of 0 (not yet out of stock). (Location Update Table Structure: Tire Code, Production Time, Entry Time, Exit Status, Reader Antenna Code, RSSI, RSSI Update Time)

[0111] Output: Location number of the embryo group

[0112] Step 1: Preprocessing: First, sort the data in the order of production time, reader antenna code, and RSSI update time. Then, based on the production time group, filter out records in each group whose RSSI update time is within the last 30 minutes of the current time, and remove other records that do not meet this time condition.

[0113] Step 2: Find the coordinates of the embryo in each group.

[0114] for group in group_set:

[0115] Step 21: Calculate the 4 key antennas with the greatest contribution.

[0116] Step 22: Calculate the distance from the key antenna to the embryo.

[0117] Step 23: Calculate the coordinates of the embryo

[0118] end for

[0119] Step 3: Calculate the coordinates of the embryonic group

[0120] Step 4: Calculate the storage location number of the embryo group.

[0121] The following are the implementation methods for the key steps in the algorithm framework:

[0122] Step 21:

[0123] Calculate the average RSSI for each antenna separately, and represent this result as RSSI_Ave[].

[0124] Find the antennas corresponding to the four largest values ​​in RSSI_Ave[]. Based on the antenna deployment location and the following conditions are met: any three of the four antennas are not collinear, their orientations are not exactly the same, and any two do not share a common point. This will help determine the key antennas.

[0125] Step 22: Calculate the distance from the key antenna to the embryo.

[0126] All location update records corresponding to the key antennas are selected, and the tag is ranging using a logarithmic path loss model based on the RSSI in the records.

[0127] Depend on

[0128]

[0129] have to:

[0130]

[0131] Based on the system's selected device, Impinj R700, P t The value is 20dBm; in the field environment where d0 is 1m, the measured value is L(d0) = 45dB and n = 2.4.

[0132] This allows us to obtain multiple historical distances between each key antenna and the embryo within 30 minutes, denoted as:

[0133] D = {D i |i=1,2,3,4}

[0134] in,

[0135] D i ={d i1 ,…,d ik |i = 1, 2, 3, 4, k is the number of historical distances within 30 minutes}

[0136] Among them, {d ij |1≤j≤k} represents the j-th ranging result of the i-th critical antenna within the past 30 minutes.

[0137] Calculate D respectively i The median M i and standard deviation δ i And filter out M i±2δ i Data points within the range are denoted as

[0138] D i '={d im ,…,d in |i=1,2,3,4,1≤m <n≤k},D i '∈D i

[0139] The distance between the key antenna and the embryo was determined using the arithmetic mean method.

[0140]

[0141] Step 23: Use weighted least squares to solve for the embryonic coordinates p = (x, y, z).

[0142] In a real production environment, the readers are deployed on approximately the same horizontal plane. Let the coordinates of each reader be p. i =(x i ,y i Given that the coordinates of the embryo are p = (x, y, z), and i = 1, 2, 3, 4, then the ideal distance measurement equation is:

[0143]

[0144] By using linearization methods, we can obtain a system of linear equations of the form AX = b:

[0145]

[0146] Introducing the weight matrix W:

[0147]

[0148] The solution is:

[0149] X = (A T WA) -1 A T Wb (Equation 8)

[0150] Since the position of the embryo can be determined by the coordinates of the embryo's horizontal plane, it is not necessary to solve for z.

[0151] Step 3: Calculate the horizontal coordinates of the embryonic group using the arithmetic mean method.

[0152]

[0153] Step 4: Calculate the storage location number of the embryo group.

[0154] Based on the mapping relationship between storage location code and planar coordinates, the storage location information of embryo-level embryos can be derived, as shown in Table 2.

[0155] Table 2 Storage Location Information Table Structure

[0156] Field Name type length Primary key Notes ID int 4 yes LocationCode varchar 4 yes Storage location code x1 int 4 Region coordinates x1 y1 int 4 Region coordinates y1 x2 int 4 Region coordinates x2 y2 int 4 Region coordinates y2

[0157] For the structured data stored in Table 2, a designed FIFO algorithm is used to effectively manage the inbound and outbound processes of tire blanks. The system strictly adheres to the principle of "first-in, first-out" to ensure the timeliness of tire blanks during use and prevent performance degradation or failure due to prolonged storage. Simultaneously, to further improve the efficiency of tire blank outbound operations, within a reasonable range that meets the timeliness requirements, the system grants users a certain degree of autonomy. Users can flexibly select one of up to three tire blanks of the same model for outbound operations based on actual needs and operational convenience. The FIFO algorithm implements a series of key steps, from recording tire blank inbound information and monitoring inventory status to making outbound decisions.

[0158] The first-in-first-out algorithm in this embodiment is as follows:

[0159] Output: First-In-First-Out (FIFO) embryo information

[0160] Let the dataset in FIFO_table be R.

[0161] Let the record in dataset R where "State = 0" be dataset R1.

[0162] For each record in R1, sort them by TireType. If the TireTypes are the same, sort them by StockInTime. The sorted result is denoted as dataset R2.

[0163] Based on dataset R2, the first three exit priorities for each type of embryo are labeled as 1, 2, and 3, respectively, forming record set R3.

[0164] The dataset R3 is presented through an interactive visualization interface.

[0165] The dual-mode display panel design in this embodiment is as follows:

[0166] The priority delivery tire / fetal data display panel uses a dual-mode display design, encompassing two functionally distinct areas, as detailed below. Figure 7As shown in the diagram, the graphical display area is primarily used to visually present the actual location distribution of tire blanks within the storage space. To facilitate users' quicker location and display of tire blank information at different locations, this graphical display area is further subdivided into Zones A, B, and C. The digital display area, on the other hand, uses a list format to clearly list the specific models and precise location information of the tire blanks prioritized for shipment, providing drivers with detailed and easily accessible data support.

[0167] Furthermore, in this embodiment, the tire blank storage area is rectangular, 31 meters long and 21 meters wide, surrounded by roads 3 meters wide. Based on the actual production environment and the characteristics of various RFID devices, a network structure is adopted to deploy the antennas. The required equipment information is shown in Table 3, and the topology and antenna deployment diagram are shown below. Figure 8 and Figure 9 As shown.

[0168] Table 3 Core Equipment

[0169] Equipment Name model quantity RFID reader WYUANW16-FD 3 RFID antenna WYUANRD915M-TX-6.5DB 38 switch TP-LINK TL-SG1048 1 Computer terminal Dell 3030S 1 monitor Huawei HD85ARQD 8

[0170] Figure 9 In the middle, the white area is the storage area, with a size of [missing information], the dark green area is the road, 3m wide, the dashed line is the antenna position auxiliary line, the solid circle indicates the relative position of the antenna, and the black solid cross symbol indicates the center position of the storage area. Based on the on-site working environment and the working characteristics of the selected antenna, the antenna signal strength and coverage were measured and reasonably deployed. Basic idea: (1) The storage location on the periphery of the storage area has the highest utilization rate and is located at the edge of the storage area. Therefore, the outermost antenna was deployed by both expanding outward (1) and increasing the deployment density, with a total of 24 antennas, such as [missing information]. Figure 9 (2) To reduce costs and minimize the total number of antennas, all antennas are installed with their main lobe central axis perpendicular to the ground and tilted toward the center of the storage area. Additionally, a sparse deployment pattern is used within the storage area, such as... Figure 9 The blue and green solid circles in the image have a lower density as they are closer to the center. (3) Considering that the label is pasted on the upper surface of the tire blank and the label is 1 meter from the ground, the antenna is installed at a height above the ground. Through the above installation, it is ensured that each storage location is covered by at least 4 antenna signals.

[0171] As an optional implementation method, in a tire manufacturing company, to ensure that the experimental process would not disrupt the company's normal production and operation, the relevant experimental work was specifically carried out while maintaining the company's regular production rhythm. In daily production, the company's tire output is consistently maintained at approximately 2400 tires / day, or about 600 vehicles / day. Its molding workshop is equipped with 160 tire blank trucks and has 3 storage areas. The 3 storage areas share a single access point as their entrance and exit, which serves as both an entrance and exit. The entire molding workshop has a total of 144 storage locations and is equipped with 3 tractor units, with 9 tire blank truck drivers handling the operations. Furthermore, to ensure accurate recording and collection of experimental data, 8 dedicated data recording personnel were assigned. The experiment lasted approximately 384 hours. During the experiment, environmental conditions such as temperature, humidity, and lighting in the workshop were kept constant, daily tire output remained relatively stable, and the tire blank trucks, tractor units, and other logistics equipment used were consistently employed. The personnel involved in the experiment also remained fixed and were not changed.

[0172] In the tire production process, the aim of this study is to accurately analyze the differences in tire blank release time and release accuracy under the two key dimensions of using a first-in-first-out (FIFO) system versus not using the system.

[0173] The experimental variables in this embodiment are as follows:

[0174] Independent variable: Whether the first-in-first-out system is enabled on the large screen, divided into two levels: "using the system" and "not using the system".

[0175] Dependent variable 1: Outbound time: Measured by the time taken for the tractor to enter the warehouse area from the only warehouse entrance, load the tire blank vehicle, and then return to the warehouse entrance for the entire transportation process.

[0176] Dependent variable 2: Embryo delivery error rate: This is reflected by the error rate between the embryos that should be delivered and the embryos that are actually delivered, as checked in real time.

[0177] The experimental subjects and sample size in this embodiment are as follows:

[0178] Experimental subjects: 160 tire blank trucks, 3 storage areas, 144 storage locations, 3 tractor units, and 9 tire blank truck drivers.

[0179] Sample size determination: Considering the repetitive nature of daily production and outbound operations in the workshop, logistics data recorded continuously for 16 calendar days were used as the sample.

[0180] The experimental and control groups in this embodiment are as follows:

[0181] Control group: A period of time (odd-numbered dates) during which the workshop was in normal production and the FIFO system display screen was turned off was selected as the control group. During this period, outbound operations were carried out according to existing manual experience and routine procedures, and the outbound information of the embryos was recorded manually.

[0182] Experimental Group: During another period of normal production in the workshop (even-numbered days), the FIFO (First-In, First-Out) system display screen was turned on. This screen showed the inventory location information of each type of tire blank for priority release, and the driver performed the release operation according to the system prompts.

[0183] The experimental steps and procedures in this embodiment are as follows:

[0184] Pre-experiment preparation: Install and debug the FIFO system to ensure its normal operation, and train the driver on system usage to ensure they are proficient in operating the system. Conduct a comprehensive inspection and maintenance of all tire blank vehicles participating in the experiment to ensure they are in good working order and in the same initial condition. Establish unified data recording standards and forms, and train data recording personnel to understand the content, time points, and methods of recording.

[0185] Control group operation: During periods when the large display screen was not turned on, drivers handled tire blanks out of the warehouse using traditional methods. Data recorders recorded the start time, arrival time, and accuracy of each tire blank transport in real time. At the end of each shift, the total number of outbound records and the number of correct outbound records for that shift were tallied, and the outbound time for each record was calculated.

[0186] Experimental group operation: During the time the large display screen was turned on, drivers performed outbound operations according to the information guidance. The work of the data recording personnel was the same as that of the control group.

[0187] Data processing: After the experiment, the collected data are processed and summarized to ensure the completeness and accuracy of the data.

[0188] The data collection and analysis method in this embodiment is as follows:

[0189] Data collection: The recording results of data recorders.

[0190] Descriptive statistical analysis: The average embryo delivery time and the mean embryo delivery error rate were calculated for the experimental group and the control group, respectively, to intuitively understand the central tendency of the two groups of data.

[0191] In this embodiment, a total of 9,667 embryo delivery records were collected. The statistical results of data from different shifts are shown in Table 4.

[0192] Table 4. Descriptive Statistics of Class Characteristics

[0193]

[0194]

[0195] The impact of this embodiment on the tire blank outbound efficiency of each shift is as follows: Figure 10 As shown, the mean (1.342) and median of the experimental group were both lower than those of the control group (mean 3.354), clearly indicating that the tire blank retrieval time was shorter overall when using the system, averaging 2.012 minutes / vehicle less than before the system was implemented. This demonstrates the system's significant effect on improving retrieval efficiency (149.93%). The standard deviation (overall between 0.22 and 0.24) and interquartile range (overall between 0.37 and 0.48) of the experimental group data were both smaller than those of the control group (standard deviation between 0.34 and 0.67, interquartile range between 0.67 and 0.81), indicating that the retrieval time was more stable and the data fluctuated less when using the system. The control group data showed varying degrees of right skewness and large extreme values; while the experimental group data were nearly symmetrically distributed with fewer outliers and a more concentrated and uniform distribution. This means that the system not only improved retrieval efficiency but also made the data distribution more stable and concentrated.

[0196] The outbound error rate reflects instances where tire blanks were not issued according to the first-in, first-out (FIFO) rule, impacting tire production quality. Table 4 shows that without the system, the outbound error rate was 4.8% for the morning shift, lower at 2.2% for the day shift, and significantly higher at 15.6% for the night shift. This indicates that without the system, the night shift's outbound error rate is likely higher than the morning and day shifts due to employee fatigue, handover issues, or other factors. After implementing the system, the overall error rate decreased by 7.12%, with the morning shift dropping to 0.2%, the day shift to 0.1%, and the night shift to 0.5%. This demonstrates that the system significantly reduced the outbound error rate across all shifts. Particularly noteworthy is the dramatic drop in the night shift error rate from 15.6% to 0.5%, indicating the system's significant impact on improving efficiency and accuracy during the night shift. Simultaneously, the error rates for the morning and day shifts also decreased to extremely low levels, demonstrating the system's effectiveness across different time periods, enhancing the accuracy of outbound operations. The system uses the error rate comparison before and after outbound shipments, for example. Figure 11 As shown.

[0197] The impact of this embodiment on the relationship between different outbound durations and outbound error rates is as follows: Figure 12 As shown, Figure 12The results show that before the system was put into use, the error rate of the ex-warehouse delivery was not significantly different regardless of the ex-warehouse delivery time, but it was consistently 7% higher. After the system was introduced, the error rate was higher in the delivery time range of less than 2 minutes, with an error rate of only 0.25%. Furthermore, no errors occurred in the delivery time range of more than 2 minutes. In addition, the error rates of the delivery time range decreased by 8.01%, 7.22%, and 8.15% respectively in the three time ranges, with a similar reduction. This phenomenon indicates that the system has little impact on the relationship between different delivery times and the error rate.

[0198] At a specific moment, based on the first-in, first-out (FIFO) principle followed by the time the embryo enters the warehouse, the FIFO panel will display the following result: Figure 13 As shown. In the graphical display area (left half of the panel), solid circles of different radii are used to visually indicate the priority order of tire blanks for release. The larger the radius of the solid circle, the higher the release priority of the tire blank. This representation helps drivers quickly determine the specific location of the tire blank.

[0199] Taking the DC093 tire embryo as an example, in the priority release sequence, the two sets of tire embryos with the highest priority for release are located at C001 and A045, respectively. From Figure 13 It can be clearly observed that the radii of the solid circles corresponding to these two groups of embryos are different, and there are also some undisplayed solid circles, which indicate that the embryos they represent are not in the priority release sequence.

[0200] Meanwhile, in the digital display area, detailed information about the storage areas where priority-released tire blanks are located is shown in a list format. Taking the DC093 tire blank as an example, its two highest-priority-released tire blanks (first row) are clearly shown as being located in areas C and A, providing operators with accurate and intuitive information guidance.

[0201] Corresponding to the above method, this embodiment also provides an RFID-based intelligent management system for embryo storage, including:

[0202] The hardware deployment unit is used to install several RFID readers and corresponding antennas in the tire embryo storage area according to preset coordinates, and connect the RFID readers to the database server and terminal display device through a switch to build a hardware communication network.

[0203] The data initialization unit is used to establish a mapping relationship between the storage location code and the storage location plane coordinates and antenna coordinates in the database server, and to create a first-in-first-out data table.

[0204] The warehouse entry identification collection unit is used to affix ultra-high frequency RFID tags containing the embryo code, production time and warehouse entry time fields to each embryo group to be warehoused. After the embryo group is transported to any available warehouse location, each RFID reader collects the radio frequency data frames generated by the RFID tags at a preset period.

[0205] The positioning and mapping unit is used to perform multi-antenna cooperative positioning processing according to the radio frequency data frame, obtain the spatial coordinates of the embryo group, and map the spatial coordinates into the corresponding storage location code;

[0206] The status update unit is used to write the storage location code and the entry time into the first-in-first-out data table, and mark the storage location status as "occupied";

[0207] The priority calculation unit is used to retrieve all records with the status of "occupied" in the first-in-first-out data table, group the tire blanks of each model according to the tire blank code, sort them in ascending order according to the entry time, and assign the highest priority to the first three records of the earliest entry in each group.

[0208] The information publishing and outbound write-back unit is used to publish the storage location information of the highest priority tire assembly to the operation panel and remote management panel of the terminal display device in real time in both graphical and digital modes. When the operator completes the assembly of the target tire assembly according to the guidance of the operation panel and the remote management panel and the RFID reader detects that the corresponding tag has left the storage location, the status field of the tire assembly in the first-in-first-out data table is updated to "outbound" and the outbound time is recorded to restore the storage location status.

[0209] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the systems disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the descriptions are relatively simple; relevant parts can be referred to the method section.

[0210] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. A smart management method for embryo storage based on RFID, characterized in that, include: Several RFID readers and corresponding antennas are installed in the embryo storage area according to preset coordinates, and the RFID readers are connected to the database server and terminal display device through a switch to build a hardware communication network. Establish a mapping relationship between the storage location code and the storage location plane coordinates and antenna coordinates in the database server, and create a first-in-first-out data table; Each of the in-warehouse tire embryo groups is affixed with an ultra-high frequency RFID tag containing the tire embryo code, production time, and warehousing time fields. After the tire embryo group is transported to any available storage location, each of the RFID readers collects the radio frequency data frames generated by the RFID tag at a preset cycle. Perform multi-antenna cooperative positioning processing based on the radio frequency data frame to obtain the spatial coordinates of the embryo group, and map the spatial coordinates to the corresponding storage location code; Write the storage location code and the entry time into the first-in-first-out data table, and mark the storage location status as "occupied"; Retrieve all records with the status "occupied" from the first-in-first-out data table, group the embryos of each model according to their embryo codes, sort them in ascending order by their entry time, and assign the highest priority to the first three records in each group that entered the warehouse earliest. The storage location information of the highest priority tire assembly is published in real time to the operation panel and remote management panel of the terminal display device in both graphical and digital modes. When the operator completes the assembly of the target tire assembly according to the guidance of the operation panel and the remote management panel and the RFID reader detects that the corresponding tag has left the storage location, the status field of the tire assembly in the first-in-first-out data table is updated to "out of storage" and the out-of-storage time is recorded to restore the storage location status.

2. The RFID-based intelligent management method for embryo storage as described in claim 1, characterized in that, Also includes: The polling period of the RFID reader shall not exceed 2 seconds, and the transmission power shall not exceed 30dBm.

3. The RFID-based intelligent management method for embryo storage as described in claim 1, characterized in that, Multi-antenna cooperative localization processing is performed based on the radio frequency data frame to obtain the spatial coordinates of the fetal embryo group, and the spatial coordinates are mapped to the corresponding storage location code, including: The radio frequency data frames are sorted according to the RFID reader number and timestamp; Calculate the mean RSSI of each antenna and select the four antennas with the highest mean. For the four antennas, the RSSI of each antenna is converted into the tire-antenna distance value according to the logarithmic path loss model, and abnormal distance values ​​exceeding three standard deviations are removed. The weighted least squares method is used to solve the two-dimensional spatial coordinates of the embryo in the warehouse plane coordinate system, and the arithmetic mean of multiple measured coordinates of the same embryo group is taken to obtain the final coordinates. The two-dimensional spatial coordinates are compared with the pre-stored storage location plane coordinate mapping relationship in the database server to determine the corresponding storage location code.

4. The RFID-based intelligent management method for embryo storage as described in claim 2, characterized in that, The polling cycle and transmission power of the RFID reader are dynamically adjusted by the electromagnetic environment on site.

5. The RFID-based intelligent management method for embryo storage according to claim 1, characterized in that, Before performing multi-antenna cooperative localization processing based on the radio frequency data frame, the process further includes: Expired data in the radio frequency data frame is removed according to a preset time window threshold.

6. The RFID-based intelligent management method for embryo storage according to claim 3, characterized in that, The four antennas are selected only when the variance of the RSSI mean is below a preset threshold.

7. The RFID-based intelligent management method for embryo storage according to claim 3, characterized in that, Any three of the four antennas are not collinear.

8. An RFID-based intelligent management system for embryo storage, characterized in that, include: The hardware deployment unit is used to install several RFID readers and corresponding antennas in the tire embryo storage area according to preset coordinates, and connect the RFID readers to the database server and terminal display device through a switch to build a hardware communication network. The data initialization unit is used to establish a mapping relationship between the storage location code and the storage location plane coordinates and antenna coordinates in the database server, and to create a first-in-first-out data table. The warehouse entry identification collection unit is used to affix ultra-high frequency RFID tags containing the embryo code, production time and warehouse entry time fields to each embryo group to be warehoused. After the embryo group is transported to any available warehouse location, each RFID reader collects the radio frequency data frames generated by the RFID tags at a preset period. The positioning and mapping unit is used to perform multi-antenna cooperative positioning processing according to the radio frequency data frame, obtain the spatial coordinates of the embryo group, and map the spatial coordinates into the corresponding storage location code; The status update unit is used to write the storage location code and the entry time into the first-in-first-out data table, and mark the storage location status as "occupied"; The priority calculation unit is used to retrieve all records with the status of "occupied" in the first-in-first-out data table, group the tire blanks of each model according to the tire blank code, sort them in ascending order according to the entry time, and assign the highest priority to the first three records of the earliest entry in each group. The information publishing and outbound write-back unit is used to publish the storage location information of the highest priority tire assembly to the operation panel and remote management panel of the terminal display device in real time in both graphical and digital modes. When the operator completes the assembly of the target tire assembly according to the guidance of the operation panel and the remote management panel and the RFID reader detects that the corresponding tag has left the storage location, the status field of the tire assembly in the first-in-first-out data table is updated to "outbound" and the outbound time is recorded to restore the storage location status.

Images