Closing control method and system of RFID intelligent cabinet

Abstract

The invention relates to the technical field of storage cabinets, in particular to a closing control method and system of an RFID intelligent cabinet. Comprising an RFID intelligent cabinet, the RFID intelligent cabinet comprises an RFID scanner, a first RFID tag, a displacement sensor and the like, the displacement sensor detects door displacement changes, and a data acquisition module sends the door displacement changes to a data analysis module; and the data analysis module analyzes the door displacement change and determines whether door closing operation exists, if yes, a lock body monitoring signal is sent to the displacement sensor, a lock body displacement data receiving signal is sent to the data acquisition module, lock body displacement data monitored by the displacement sensor is received, and whether locking exists or not is determined according to the lock body displacement data. The door closing action of a user can be recognized in time, and triggering conditions are provided for lock body monitoring. And when the locking state is judged, whether the closing of the cabinet door is matched with the expected RFID tag or not is verified, so that the tight closing state of the cabinet door is confirmed.

Description

Technical Field

[0001] The present application relates to the technical field of storage cabinets, and in particular to a closure control method and system for an RFID smart cabinet. Background Art

[0002] With the rapid development of Internet of Things technology, RFID (Radio Frequency Identification) technology is increasingly used in various smart devices. Especially in the fields of smart cabinets and automated warehousing systems, RFID technology is used to achieve efficient and intelligent management and control.

[0003] Traditional smart cabinet systems mainly rely on mechanical locks and simple electronic monitoring systems, but these systems have certain deficiencies in terms of security and intelligence. Existing RFID smart cabinet systems have a lot of interference from RFID tags in other cabinets and cannot accurately identify RFID tags in the cabinet. Summary of the invention

[0004] The present application provides a closing control method and system for an RFID smart cabinet to solve the above-mentioned problem.

[0005] In a first aspect, the present application provides a closed control system of an RFID smart cabinet, comprising: an RFID smart cabinet, the RFID smart cabinet comprising an RFID scanner, a first RFID tag, a displacement sensor, and a control chip, the control chip comprising a data acquisition module and a data analysis module, The displacement sensor is connected to the data acquisition module and is used to detect the door displacement change and send the door displacement change to the data acquisition module; The data analysis module is connected to the data acquisition module; the data acquisition module is used to send the door displacement change to the data analysis module; The data analysis module is used to analyze the door displacement change to determine whether there is a door closing operation. If there is a door closing operation, a lock body monitoring signal is sent to the displacement sensor, a lock body displacement data receiving signal is sent to the data acquisition module, and the lock body displacement data monitored by the displacement sensor acquired by the data acquisition module is received, and whether the door is locked according to the lock body displacement data is determined; The displacement sensor is arranged in the cabinet of the RFID smart cabinet and connected to the cabinet; The RFID scanner is connected to the first RFID tag, the data acquisition module and the data analysis module respectively; when the data analysis module determines that the RFID tag is locked, the RFID scanner sends a read signal to the RFID scanner, and after receiving the read signal, the RFID scanner is used to obtain a first scan result of the first RFID tag, and the first scan result is sent from the data acquisition module to the data analysis module; The data analysis module is used to analyze the first scanning result to determine whether the RFID smart cabinet is in a tightly closed state. If so, it is determined that the RFID smart cabinet is tightly closed.

[0006] Through this solution, the real-time monitoring of the displacement sensor can accurately capture the displacement changes of the cabinet door, which is crucial for judging the opening and closing state of the cabinet door. Through real-time monitoring, it is possible to quickly respond to changes in the state of the door. The data acquisition module, as an intermediary, transmits the data of the displacement sensor to the data analysis module, ensuring the timeliness and accuracy of data transmission and providing a basis for subsequent analysis. The data analysis module determines whether there is a door closing operation by analyzing the displacement change data. It can timely identify the user's door closing action and provide trigger conditions for lock body monitoring. The data acquisition module collects and transmits the lock body displacement data to the data analysis module, ensuring real-time feedback of the lock body state and providing a basis for judging the deadlock state. When judging the deadlock state, a read signal is sent to the RFID scanner to obtain the scanning result of the first RFID tag to verify whether the closure of the cabinet door matches the expected RFID tag, thereby confirming the tightly closed state of the cabinet door. The data analysis module analyzes the scanning result of the first RFID tag to determine whether the cabinet door is tightly closed. If the scanning result is empty, it indicates that the cabinet door is tightly closed; if it is not empty, it indicates that the cabinet door is not tightly closed. Provides a final verification of the closed state of the cabinet door. Finally, the data analysis module confirms the closed state of the RFID smart cabinet, providing users with a clear feedback on whether the cabinet door has been safely closed and locked.

[0007] Optionally, the first RFID tag is set outside the door of the RFID smart cabinet, and the data analysis module analyzes the first scanning result. If the first scanning result is empty, it is determined that the RFID smart cabinet is tightly closed; if the first scanning result is not empty, it is determined that the RFID smart cabinet is not tightly closed.

[0008] Through this solution, the first RFID tag is set outside the door of the RFID smart cabinet, which can ensure that the RFID scanner cannot read the signal of the first RFID tag only when the cabinet door is completely closed and well sealed. This helps to eliminate the interference of external RFID tags and improve the accuracy of system judgment. The RFID scanner reads the information of the first RFID tag after the door closing operation, and can obtain the closing state of the cabinet door in real time. Provides a preliminary verification of the closing state of the cabinet door. The data analysis module receives the first scanning result sent by the RFID scanner and processes it. Ensures the accuracy and validity of the data, providing a basis for subsequent analysis. The data analysis module determines whether the cabinet door is tightly closed based on the scanning result of the first RFID tag. Provides a final verification of the closing state of the cabinet door, ensuring the safety of items in the cabinet.

[0009] Optionally, the RFID smart cabinet further includes a second RFID tag, which is disposed on an item stored in the RFID smart cabinet.

[0010] Through this solution, the second RFID tag is set on the items stored in the RFID smart cabinet. Automatic identification and tracking of stored items are achieved, and the efficiency and accuracy of item management are improved. The RFID scanner reads the information of the second RFID tag when the item is deposited or taken out. Real-time monitoring and recording of items during the storage and retrieval process are ensured. The data analysis module receives the reading result of the second RFID tag sent by the RFID scanner and processes it. The accuracy and validity of the data are ensured, providing a basis for subsequent analysis. The data analysis module determines whether the item is correctly deposited or taken out based on the reading result of the second RFID tag. Accurate control of the item storage and retrieval process is achieved, ensuring the safety of the items and the accuracy of management. Interference from RFID tags in other cabinets is prevented by adopting shielding technology, signal filtering algorithms and other methods. The stability and reliability of the protection capability against external interference are improved.

[0011] Optionally, the RFID smart cabinet also includes a shielding strip, which is used to shield the RFID signals outside the RFID smart cabinet when the cabinet door of the RFID smart cabinet is closed; the RFID smart cabinet also includes a controller, which is connected to the data acquisition module and is used to determine whether the door body is in contact with the shielding strip when there is a door closing operation. If so, it is started and the lock body is pulled forward to achieve locking.

[0012] Through this solution, the shielding strip is set to reduce the interference of external RFID tags on the RFID tags inside the cabinet, and improve the accuracy of RFID recognition. When there is a door closing operation, the controller can receive and process the door displacement change information sent by the data acquisition module. The door displacement change information can determine whether there is a door closing operation. The lock body traction mechanism is activated to ensure that the lock body traction can be triggered when the cabinet door is closed, avoiding false activation.

[0013] Optionally, when determining whether the lock is locked according to the lock body displacement data, the data analysis module is used to: Sending a tension acquisition signal to the data acquisition module so that the data acquisition module acquires the real-time tension of the controller and sends it to the data analysis module; When receiving the real-time pulling force, the data analysis module is used to analyze the real-time pulling force to determine whether the action force and the reaction force are consistent; if they are consistent, locking is determined.

[0014] Through this solution, judging whether the lock body has reached the locking position ensures the accuracy of the physical position of the lock body and provides a basis for subsequent locking judgments. Real-time tension data ensures the timely acquisition of tension data and provides data support for subsequent locking judgments. Determine whether the action force and reaction force are consistent, and compare the tension applied by the controller with the tension fed back by the lock body. By comparison, if the data analysis module determines that the action force and reaction force are consistent, it can be determined whether the lock body has been successfully locked. Confirm that the cabinet door is tightly closed. This step ensures the accuracy of the lock body locking. Compressing the shielding strip to form a complete and seamless Faraday cage enhances the protection against external RFID environmental interference.

[0015] Optionally, when receiving the real-time pulling force, the data analysis module is also used to analyze the real-time pulling force, and when determining that the action force and the reaction force are consistent, obtain the displacement distance of the controller; compare the displacement distance with a preset displacement standard, and determine whether the shielding strip is deformed based on the comparison result.

[0016] Through this solution, the determination of the displacement distance helps to determine whether the lock body has moved to the predetermined locking position. By comparison, it can be determined whether the lock body has accurately reached the locking position, thereby confirming whether the lock body has been locked. If the displacement distance does not meet the preset standard, it may indicate that the shielding strip has been deformed, which will affect the closing effect of the cabinet door.

[0017] Optionally, the RFID smart cabinet further includes a rebound analysis module connected to the data analysis module; The rebound analysis module is used to obtain a number of displacement distances determined by the data analysis module within a preset time period; analyze the several displacement distances to determine the displacement change caused by any one door closing and the next door closing; and determine the rebound performance of the shielding strip at the current moment based on the displacement change.

[0018] Through this solution, by acquiring these data, the rebound analysis module can monitor and analyze the displacement changes of the cabinet door during multiple closing processes. By analyzing the displacement changes, it can be evaluated whether there is rebound after the cabinet door is closed, and the degree of rebound. If the rebound performance judgment does not meet the preset standard, it may indicate that the shielding strip is deformed or damaged and needs to be maintained or replaced.

[0019] Optionally, the rebound analysis module is also connected to the data acquisition module, and when the rebound analysis module determines the rebound performance of the shielding strip at the current moment according to the displacement change, it is used to: Sending an information acquisition signal to the data acquisition module, after receiving the data acquisition signal, the data acquisition module acquires the basic information of the RFID smart cabinet and sends it to the rebound analysis module; After receiving the basic information, the rebound analysis module is used to analyze the basic information and determine the plastic material of the shielding strip; Determine the stiffness and effective mass of the new shielding strip based on the plastic material; Determining the layout position of the shielding strip according to the basic information; Determining the initial phase of the shielding strip according to the layout position; Determining an attenuation curve of the shielding strip according to the displacement change, the effective mass, the initial phase and the stiffness; The resilience performance of the shielding bar at the current moment is determined according to the attenuation curve and the displacement change.

[0020] Through this solution, by sending an information acquisition signal, the rebound analysis module can request the required basic information for subsequent analysis and calculation. The acquisition of basic information provides the rebound analysis module with the key data required for analysis, which helps to accurately evaluate the rebound performance of the shielding strip. By analyzing the plastic material, the physical properties of the shielding strip can be understood, providing a basis for the subsequent calculation of parameters such as stiffness and effective mass. The determination of stiffness and effective mass helps to establish a physical model of the shielding strip and provide a basis for the calculation of the attenuation curve. The determination of the layout position helps to analyze the stress conditions of the shielding strip in actual applications. The determination of the initial phase helps to establish a motion model of the shielding strip and provide initial conditions for the calculation of the attenuation curve. The determination of the attenuation curve helps to predict the rebound performance of the shielding strip and provide a basis for maintenance and replacement decisions. The determination of the rebound performance helps to evaluate the overall performance of the smart cabinet system and ensure the normal operation of the cabinet door.

[0021] Optionally, the rebound analysis module uses the following formula to calculate when determining the attenuation curve of the shielding strip according to the displacement change, the effective mass, the initial phase and the stiffness: ; in, represents the attenuation curve; Indicates the preset displacement standard; represents said effective mass; represents the stiffness; represents the initial phase; represents the damping coefficient; Indicates the usage time of the shield bar.

[0022] With this solution, the attenuation curve can be used to evaluate the resilience of the shielding bar. By applying the formula, the rebound analysis module can predict the movement of the shielding bar as it decays over time after closing, thereby evaluating its resilience. The input of parameters ensures the accuracy of the calculation results, because these parameters directly affect the resilience of the shielding bar. The determination of the damping coefficient helps the rebound analysis module to simulate the rebound process of the shielding bar more accurately. The calculation process provides the rebound analysis module with the specific value of the attenuation curve, which can be used for further analysis and decision-making. By analyzing the attenuation curve, the rebound analysis module can determine whether the shielding bar is within the normal working range and whether it needs maintenance or replacement.

[0023] In a second aspect, the present application provides a closing control method of an RFID smart cabinet, the method comprising: Obtaining door displacement changes, analyzing the door displacement changes, determining whether there is a door closing operation, and if there is a door closing operation, receiving lock body displacement data; Determining whether the lock is locked according to the lock body displacement data; When determining whether the lock is dead, the first scanning result is received and analyzed to determine whether the RFID smart cabinet is in a tightly closed state. If so, it is determined that the RFID smart cabinet is tightly closed.

[0024] Optionally, the method includes: analyzing the first scanning result, and if the first scanning result is empty, determining that the RFID smart cabinet is tightly closed; if the first scanning result is not empty, determining that the RFID smart cabinet is not tightly closed.

[0025] Optionally, the RFID smart cabinet further includes a second RFID tag, which is disposed on an item stored in the RFID smart cabinet.

[0026] Optionally, the method further includes, when there is a door closing operation, determining whether the door body is in contact with the shielding strip, and if so, starting the controller and pulling the lock body forward to achieve locking.

[0027] Optionally, determining whether the lock is locked according to the lock body displacement data includes: Get the real-time pulling force of the controller; The real-time pulling force is analyzed to determine whether the action force and the reaction force are consistent; if they are consistent, locking is determined.

[0028] Optionally, when receiving the real-time pulling force, the data analysis module is also used to analyze the real-time pulling force, and when determining that the action force and the reaction force are consistent, obtain the displacement distance of the controller; compare the displacement distance with a preset displacement standard, and determine whether the shielding strip is deformed based on the comparison result.

[0029] Optionally, the method comprises: Acquire a number of displacement distances within a preset time period; analyze the number of displacement distances to determine the displacement change amount caused by any one door closing and the next door closing; The resilience performance of the shielding bar at the current moment is determined according to the displacement change.

[0030] Optionally, the rebound analysis module determines the rebound performance of the shielding bar at the current moment according to the displacement change, including: Obtain basic information of the RFID smart cabinet; Analyze the basic information to determine the plastic material of the shielding strip; Determine the stiffness and effective mass of the new shielding strip based on the plastic material; Determining the layout position of the shielding strip according to the basic information; Determining the initial phase of the shielding strip according to the layout position; Determining an attenuation curve of the shielding strip according to the displacement change, the effective mass, the initial phase and the stiffness; The resilience performance of the shielding bar at the current moment is determined according to the attenuation curve and the displacement change.

[0031] Optionally, when determining the attenuation curve of the shielding strip according to the displacement change, the effective mass, the initial phase and the stiffness, the following formula is used for calculation: ; in, represents the attenuation curve; Indicates the preset displacement standard; represents said effective mass; represents the stiffness; represents the initial phase; represents the damping coefficient; Indicates the usage time of the shield bar. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0033] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application; Figure 2A schematic diagram of the closed control system structure of an RFID smart cabinet provided in one embodiment of the present application; Figure 3 A flowchart of a closing control method of an RFID smart cabinet provided in one embodiment of the present application. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0036] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0037] With the rapid development of Internet of Things technology, RFID (Radio Frequency Identification) technology is increasingly used in various smart devices. Especially in the fields of smart cabinets and automated warehousing systems, RFID technology is used to achieve efficient and intelligent management and control.

[0038] Traditional smart cabinet systems mainly rely on mechanical locks and simple electronic monitoring systems, but these systems have certain deficiencies in terms of security and intelligence. Existing RFID smart cabinet systems have a lot of interference from RFID tags in other cabinets and cannot accurately identify RFID tags in the cabinet.

[0039] Based on this, the present application provides a closing control method and system for an RFID smart cabinet, including an RFID smart cabinet, the RFID smart cabinet includes an RFID scanner, a first RFID tag, a displacement sensor, and a control chip, the control chip includes a data acquisition module and a data analysis module, and the real-time monitoring of the displacement sensor can accurately capture the displacement change of the cabinet door, which is crucial for judging the opening and closing state of the cabinet door. Through real-time monitoring, it is possible to quickly respond to the state change of the door. The data acquisition module, as an intermediary, transmits the data of the displacement sensor to the data analysis module, ensures the timeliness and accuracy of data transmission, and provides a basis for subsequent analysis. The data analysis module determines whether there is a door closing operation by analyzing the displacement change data. It can timely identify the user's door closing action and provide trigger conditions for lock body monitoring. The data acquisition module collects and transmits the lock body displacement data to the data analysis module, ensures the real-time feedback of the lock body state, and provides a basis for judging the deadlock state. When judging the deadlock state, a read signal is sent to the RFID scanner to obtain the scanning result of the first RFID tag, and verify whether the closing of the cabinet door matches the expected RFID tag, thereby confirming the tight closing state of the cabinet door. The data analysis module analyzes the scan result of the first RFID tag to determine whether the cabinet door is tightly closed. If the scan result is empty, it indicates that the cabinet door is tightly closed; if it is not empty, it indicates that the cabinet door is not tightly closed. This provides a final verification of the cabinet door's closed state. Finally, the data analysis module confirms the closed state of the RFID smart cabinet. This provides the user with a clear feedback on whether the cabinet door has been safely closed and locked.

[0040] Figure 1A schematic diagram of an application scenario provided by the present application, when an RFID smart cabinet stores items with RFID tags, the method provided by the present application is applied. Specifically, the method provided by the present application is applied to the control chip of any RFID smart cabinet, the control chip includes a data acquisition module and a data analysis module, and interacts with the RFID scanner and displacement sensor in the RFID smart cabinet. The real-time monitoring of the displacement sensor can accurately capture the displacement change of the cabinet door, which is crucial for judging the opening and closing state of the cabinet door. Through real-time monitoring, it is possible to quickly respond to the state change of the door. The data acquisition module acts as an intermediary to transmit the data of the displacement sensor to the data analysis module, ensuring the timeliness and accuracy of data transmission and providing a basis for subsequent analysis. The data analysis module determines whether there is a door closing operation by analyzing the displacement change data. It can timely identify the user's door closing action and provide trigger conditions for lock body monitoring. The data acquisition module collects and transmits the lock body displacement data to the data analysis module, ensuring real-time feedback of the lock body state and providing a basis for judging the locked state. When judging the locked state, a read signal is sent to the RFID scanner to obtain the scanning result of the first RFID tag, verify whether the closure of the cabinet door matches the expected RFID tag, and thus confirm the tightly closed state of the cabinet door. The data analysis module analyzes the scanning result of the first RFID tag to determine whether the cabinet door is tightly closed. If the scanning result is empty, it indicates that the cabinet door is tightly closed; if it is not empty, it indicates that the cabinet door is not tightly closed. A final verification of the closed state of the cabinet door is provided. Finally, the data analysis module confirms the closed state of the RFID smart cabinet. It provides the user with a clear feedback, that is, whether the cabinet door has been safely closed and locked. For specific implementation methods, please refer to the following embodiments.

[0041] Figure 2 A schematic diagram of a closed control system of an RFID smart cabinet provided in one embodiment of the present application is shown in FIG. Figure 2 As shown, the closed control system 200 of the RFID smart cabinet of this embodiment includes: an RFID smart cabinet 1, the RFID smart cabinet 1 includes an RFID scanner 11, a first RFID tag 12, a displacement sensor 13, and a control chip 2, wherein the control chip 2 includes a data acquisition module 14 and a data analysis module 15. The displacement sensor 13 is connected to the data acquisition module 14 and the data analysis module 15, and is used to detect the door displacement change and send the door displacement change to the data acquisition module 14; The data analysis module 15 is connected to the data acquisition module 14; the data acquisition module 14 is used to send the door displacement change to the data analysis module 15; The data analysis module 15 is used to analyze the door displacement change to determine whether there is a door closing operation. If there is a door closing operation, it sends a lock body monitoring signal to the displacement sensor 13, sends a lock body displacement data receiving signal to the data acquisition module 14, and receives the lock body displacement data monitored by the displacement sensor 13 acquired by the data acquisition module 14, and determines whether it is locked according to the lock body displacement data; The displacement sensor is arranged in the cabinet body of the RFID smart cabinet and connected to the cabinet body; the displacement sensor is used to obtain the door displacement distance when the controller pulls the lock body to move.

[0042] The RFID scanner 11 is installed in the RFID smart cabinet 1, and is respectively connected to the first RFID tag 12, the data acquisition module 14 and the data analysis module 15; when the data analysis module 15 determines that it is locked, it sends a read signal to the RFID scanner 11. After receiving the read signal, the RFID scanner 11 is used to obtain a first scan result of the first RFID tag 12, and the first scan result is sent from the data acquisition module 14 to the data analysis module 15; the data analysis module 15 is used to analyze the first scan result to determine whether the RFID smart cabinet 1 is in a tightly closed state. If so, it is determined that the RFID smart cabinet 1 is tightly closed.

[0043] The door displacement change may be the position change of the door during the process of opening or closing.

[0044] The door closing operation can be an action performed by the user or the system to change the door from an open state to a closed state.

[0045] The lock body displacement data may be position change data of the lock body during the locking process.

[0046] Deadlock means that the lock body is successfully locked, the door is completely closed and cannot be easily opened.

[0047] The read signal may be an instruction sent by the data analysis module to the RFID scanner, requiring the scanner to read and return the information of the first RFID tag.

[0048] The tightly closed state means that the cabinet door is not only closed but also well sealed without leaving any gaps through which people or objects can pass.

[0049] Specifically, the RFID smart cabinet 1 performs system initialization at startup, including calibrating the displacement sensor 13, activating the RFID scanner 11, and initializing the data acquisition module 14 and the data analysis module 15. The displacement sensor 13 monitors the opening and closing state of the cabinet door in real time, and sends the data of the door displacement change to the data acquisition module 14 through the connection. After receiving the data from the displacement sensor 13, the data acquisition module 14 transmits the data to the data analysis module 15 for processing. The data analysis module 15 analyzes the received door displacement change data to determine whether there is a door closing operation: if it is detected that the door displacement change data is constantly increasing, indicating that the cabinet door is closing, then the next operation is performed; if the door displacement change data is constantly decreasing, it indicates that the cabinet door is opening. The data analysis module 15 sends a lock body monitoring signal to the displacement sensor 13, and at the same time sends a lock body displacement data receiving signal to the data acquisition module 14, so as to obtain the displacement data of the lock body. The data acquisition module 14 collects the lock body displacement data monitored by the displacement sensor 13 and sends it back to the data analysis module 15. The data analysis module 15 determines whether the lock body is locked according to the lock body displacement data. If the lock body displacement data meets the locking condition, the lock body is considered to be locked.

[0050] When determining the locked state, the data analysis module 15 sends a read signal to the RFID scanner 11 to obtain the scan result of the first RFID tag 12. After receiving the read signal, the RFID scanner 11 obtains the scan result of the first RFID tag 12. In a specific implementation, each RFID tag has its own unique identifier. After scanning, the RFID scanner 11 sends it to the data analysis module 15 through the data acquisition module 14. The data analysis module 15 can determine the scanned tag identifiers one by one, and determine whether there is a scan result of the first RFID tag 12 according to the result. If not, it means that the scan result of the first RFID tag 12 is empty, and it is determined that the RFID smart cabinet 1 has been tightly closed; if the scan result is not empty, it is determined that the RFID smart cabinet 1 is not tightly closed.

[0051] Through this solution, the real-time monitoring of the displacement sensor 13 can accurately capture the displacement changes of the cabinet door, which is crucial for judging the opening and closing state of the cabinet door. Through real-time monitoring, it is possible to quickly respond to changes in the state of the door. The data acquisition module 14 acts as an intermediary to transmit the data of the displacement sensor 13 to the data analysis module 15, ensuring the timeliness and accuracy of data transmission and providing a basis for subsequent analysis. The data analysis module 15 determines whether there is a door closing operation by analyzing the displacement change data. It can timely identify the user's door closing action and provide trigger conditions for lock body monitoring. The data acquisition module 14 collects and transmits the lock body displacement data to the data analysis module 15, ensuring real-time feedback of the lock body state and providing a basis for judging the locked state. When judging the locked state, a read signal is sent to the RFID scanner 11 to obtain the scanning result of the first RFID tag 12, verify whether the closure of the cabinet door matches the expected RFID tag, and thus confirm the tightly closed state of the cabinet door. Since the RFID scanner 11 can pick up the tag information of several RFID tags, the data analysis module 15 analyzes the scanning result of the first RFID tag 12, that is, whether the first RFID tag 12 is picked up. If it is picked up, the scanning result is defined as not empty, and if it is not picked up, the scanning result is defined as empty, to determine whether the cabinet door is tightly closed. If the scanning result is empty, it indicates that the cabinet door is tightly closed; if it is not empty, it indicates that the cabinet door is not tightly closed. The final verification of the closed state of the cabinet door is provided. Finally, the data analysis module 15 confirms the closed state of the RFID smart cabinet 1. Provides a clear feedback to the user, that is, whether the cabinet door has been safely closed and locked.

[0052] In some embodiments, the first RFID tag 12 is set outside the door of the RFID smart cabinet 1, and the data analysis module 15 analyzes the first scanning result. If the first scanning result is empty, it is determined that the RFID smart cabinet 1 is tightly closed; if the first scanning result is not empty, it is determined that the RFID smart cabinet 1 is not tightly closed.

[0053] The first scanning result may be tag information obtained after the RFID scanner scans the first RFID tag.

[0054] Specifically, first, the first RFID tag 12 is set outside the door of the RFID smart cabinet 1. The function of this tag is to determine whether the cabinet door is tightly closed through the reading result of the RFID scanner 11 when the cabinet door is closed. When the user or the system performs the door closing operation, the RFID scanner 11 starts to work and reads the information of the first RFID tag 12. This step is to use RFID technology to verify the closed state of the cabinet door. The data analysis module 15 receives the first scan result sent by the RFID scanner 11. This module is responsible for analyzing these data to determine whether the cabinet door is tightly closed. If the scan result is empty: the data analysis module 15 determines that the scan result of the first RFID tag 12 is empty, which means that the signal of the RFID tag is not detected, thereby determining that the RFID smart cabinet 1 is tightly closed. This is because when the cabinet door is completely closed and tightly closed, the signal of the external RFID tag cannot interfere with the first RFID tag 12. If the scan result is not empty: the data analysis module 15 determines that the scan result of the first RFID tag 12 is not empty, which means that the signal of the RFID tag is detected, thereby determining that the RFID smart cabinet 1 is not tightly closed. This could be because the door is not completely closed or there is interference from an external RFID tag.

[0055] Through this solution, the first RFID tag 12 is set outside the door of the RFID smart cabinet 1, which can ensure that the RFID scanner 11 can read the signal of the tag only when the cabinet door is completely closed and well sealed. This helps to eliminate the interference of external RFID tags and improve the accuracy of system judgment. The RFID scanner 11 reads the information of the first RFID tag 12 after the door closing operation, and can obtain the closing state of the cabinet door in real time. Provides a preliminary verification of the closing state of the cabinet door. The data analysis module 15 receives the first scanning result sent by the RFID scanner 11 and processes it. Ensures the accuracy and validity of the data, and provides a basis for subsequent analysis. The data analysis module 15 determines whether the cabinet door is tightly closed based on the scanning result of the first RFID tag 12. Provides a final verification of the closing state of the cabinet door to ensure the safety of items in the cabinet.

[0056] In some embodiments, the RFID smart cabinet 1 further includes a second RFID tag, which is disposed on an item stored in the RFID smart cabinet 1 .

[0057] Specifically, the second RFID tag is set on the item stored in the RFID smart cabinet 1. The RFID scanner 11 reads the information of the second RFID tag when the item is deposited or taken out. The data analysis module 15 receives the reading result of the second RFID tag sent by the RFID scanner 11 and processes it. The data analysis module 15 determines whether the item is correctly deposited or taken out based on the reading result of the second RFID tag.

[0058] Through this solution, the second RFID tag is set on the items stored in the RFID smart cabinet 1. Automatic identification and tracking of stored items are achieved, and the efficiency and accuracy of item management are improved. The RFID scanner 11 reads the information of the second RFID tag when the item is deposited or taken out. Real-time monitoring and recording of items during the storage and retrieval process are ensured. The data analysis module 15 receives the reading result of the second RFID tag sent by the RFID scanner 11 and processes it. The accuracy and validity of the data are ensured, providing a basis for subsequent analysis. The data analysis module 15 determines whether the item is correctly deposited or taken out based on the reading result of the second RFID tag. Accurate control of the item storage and retrieval process is achieved, ensuring the safety of the items and the accuracy of management. Interference from RFID tags in other cabinets is prevented by adopting shielding technology, signal filtering algorithms and other methods. The stability and reliability of the protection capability against external interference are improved.

[0059] In some embodiments, the RFID smart cabinet 1 also includes a shielding strip, which is used to shield the RFID signals outside the RFID smart cabinet 1 when the cabinet door of the RFID smart cabinet is closed; the RFID smart cabinet 1 also includes a controller, which is connected to the data acquisition module 14, and is used to determine whether the door body is in contact with the shielding strip when there is a door closing operation. If so, it is started and the lock body is pulled forward to achieve locking.

[0060] The shielding strip can be made of soft conductive silicone material and can be installed in the gap between the cabinet door and the cabinet body in a U-shaped shape. Specifically, it can be adhered to the door frame of the cabinet door, or the frame opening of the cabinet body. After installation, it should ensure that the gap between the cabinet body and the cabinet door can be sealed so that the cabinet body and the cabinet door form a Faraday cage structure that can shield the signal. When the cabinet door is closed, the RFID scanner 11 located inside the cabinet can be prevented from picking up the RFID tag outside the RFID smart cabinet 1. At the same time, it can also prevent the RFID tag signal in the cabinet from leaking out, and prevent the RFID scanner inside other cabinets from picking up the signal inside the cabinet. Specifically, a shielding strip is set at the entire door frame outside the RFID smart cabinet 1 to seal the gap between the cabinet body and the cabinet door to shield the RFID signal outside the cabinet. The controller is connected to the data acquisition module 14. When there is a door closing operation, the controller can receive and process the door displacement change information sent by the data acquisition module. The data analysis module 15 analyzes the door displacement change information sent by the data acquisition module 14 to determine whether there is a door closing operation. If the door closing operation is detected, the controller determines whether the door body is in contact with the shielding strip. If in contact, the lock body traction mechanism is activated. The controller activates the lock body traction mechanism, and uses a fixed force (the fixed force is constant during the use of the RFID smart cabinet) to pull the lock body into the cabinet body (rotating cabinet door) until the lock body is completely locked. If it is a sliding cabinet door, it should be pulled in the closing direction. This application uses the rotating cabinet door as a reference. The door displacement in this case is only the movement from the door slightly closed to the cabinet door when the shielding strip is not compressed. Since the movement amount in this process is small, only a few millimeters, the state change caused by the rotation can be ignored.

[0061] Through this solution, the shielding strip is set to reduce the interference of external RFID tags on the RFID tags inside the cabinet, and improve the accuracy of RFID recognition. When there is a door closing operation, the controller can receive and process the door displacement change information sent by the data acquisition module. The door displacement change information can determine whether there is a door closing operation. The lock body traction mechanism is activated to ensure that the lock body traction can be triggered when the cabinet door is closed, avoiding false activation.

[0062] In some embodiments, when the data analysis module 15 determines whether it is locked based on the lock body displacement data, it is used to: send a tension acquisition signal to the data acquisition module 14 so that the data acquisition module 14 obtains the real-time tension of the controller and sends it to the data analysis module 15; when the data analysis module 15 receives the real-time tension, it is used to analyze the real-time tension to determine whether the action force and the reaction force are consistent; if they are consistent, it is determined to be locked.

[0063] The tension acquisition signal may be an instruction sent by the data analysis module 15 to the data acquisition module 14, for informing the data acquisition module 14 to start acquiring the real-time tension data of the controller.

[0064] The real-time pulling force may be a current pulling force value applied to the lock body by the controller when performing a lock body pulling operation.

[0065] The applied force may refer to the force applied by the controller to the lock body, which is used to pull the lock body to achieve the purpose of locking, that is, the real-time pulling force when the controller pulls the lock body.

[0066] The reaction force may be the reaction to the force applied by the lock body to the controller, that is, the resistance to the door generated by the elasticity of the shielding strip when it is compressed, and the resistance is transmitted to the lock body. When the shielding strip is pressed, the reaction force is balanced with the real-time tension.

[0067] Specifically, the data analysis module 15 determines whether the lock body has reached the locked position according to the displacement data obtained by the lock body displacement sensor. The data analysis module 15 sends a tension acquisition signal to the data acquisition module 14, instructing it to acquire the real-time tension data of the controller. After receiving the tension acquisition signal, the data acquisition module 14 acquires the real-time tension data from the controller and sends it to the data analysis module 15. After the data analysis module 15 receives the real-time tension data, due to the various resistance components in the actual application during the traction process of the controller on the lock body, the action force and the reaction force will be consistent only when the cabinet door is completely still and in a locked state. Therefore, it is necessary to analyze the real-time tension data to determine whether the action force and the reaction force are consistent. For example, a servo motor is used in the controller to provide traction tension. The real-time tension in the process of traction of the lock body by a fixed force will cause additional torque fluctuations in the process of overcoming resistance, thereby causing fluctuations in traction force. If the data analysis module 15 determines that the action force and the reaction force are consistent, it means that the lock body has been correctly locked.

[0068] Through this solution, judging whether the lock body has reached the locking position ensures the accuracy of the physical position of the lock body and provides a basis for subsequent locking judgments. Real-time tension data ensures the timely acquisition of tension data and provides data support for subsequent locking judgments. Determine whether the action force and reaction force are consistent, and compare the tension applied by the controller with the tension fed back by the lock body. By comparison, if the data analysis module 15 determines that the action force and reaction force are consistent, it can be determined whether the lock body has been successfully locked. Confirm that the cabinet door is tightly closed. This step ensures the accuracy of the lock body locking. The compression shielding strip forms a complete and seamless Faraday cage to enhance the protection against external RFID environmental interference.

[0069] In some embodiments, when the data analysis module 15 receives the real-time pulling force, it is also used to analyze the real-time pulling force, and when it is determined that the action force and the reaction force are consistent, obtain the displacement distance of the controller; compare the displacement distance with the preset displacement standard, and determine whether the shielding strip is deformed based on the comparison result.

[0070] The displacement distance may be the actual distance the lock body moves during the locking process.

[0071] The preset displacement standard may be a standard value of the lock body movement distance that is preset when the smart cabinet is designed.

[0072] The comparison result may be a result obtained after comparing the displacement distance with a preset displacement standard.

[0073] Specifically, the data acquisition module 14 acquires real-time tension data from the controller according to the instructions of the data analysis module 15. The data analysis module 15 performs real-time analysis on the received real-time tension data, including comparison of the action force and the reaction force. If the action force is consistent with the reaction force, the data analysis module 15 determines that the lock body has been locked and acquires the displacement distance of the controller. The data analysis module 15 compares the calculated displacement distance with the displacement standard preset by the system to determine whether the lock body has accurately reached the locked position. If the displacement distance does not meet the preset standard, the data analysis module 15 will determine that the shielding bar may have been deformed and trigger further detection or alarm. The data analysis module 15 will feedback the deformation detection result of the shielding bar and make corresponding adjustments based on the feedback result, such as retrying the locking operation or performing maintenance.

[0074] Through this solution, the determination of the displacement distance helps to determine whether the lock body has moved to the predetermined locking position. By comparison, it can be determined whether the lock body has accurately reached the locking position, thereby confirming whether the lock body has been locked. If the displacement distance does not meet the preset standard, it may indicate that the shielding strip has been deformed, which will affect the closing effect of the cabinet door.

[0075] In some embodiments, the RFID smart cabinet 1 also includes a rebound analysis module, which is connected to the data analysis module 15; the rebound analysis module is used to obtain a number of displacement distances determined by the data analysis module 15 within a preset time period; analyze a number of displacement distances to determine the displacement change caused by any one door closing and the next door closing; based on the displacement change, determine the rebound performance of the shielding strip at the current moment.

[0076] The displacement change amount may be the distance difference of the lock body displacement in two consecutive door closing operations within a preset time period.

[0077] The resilience performance can be the ability of the shielding strip to return to its original position after the cabinet door is closed.

[0078] Specifically, the rebound analysis module is connected to the data analysis module 15, and regularly obtains a number of displacement distance data determined within a preset time period from the data analysis module 15. The rebound analysis module analyzes the obtained displacement distance data and calculates the displacement change caused by any one door closing and the next door closing. Due to the resistance in the traction process, when the action force and the reaction force are consistent, there will be a certain displacement difference even in the case of the same elastic state of the shielding strip. Therefore, the average value of the compression state of the shielding strip is determined according to the displacement change to determine the rebound performance of the shielding strip. The rebound analysis module determines whether the rebound performance of the shielding strip at the current moment meets the preset standard. If the rebound performance does not meet the preset standard.

[0079] Through this solution, by acquiring these data, the rebound analysis module can monitor and analyze the displacement changes of the cabinet door during multiple closing processes. By analyzing the displacement changes, it is possible to evaluate whether there is rebound after the cabinet door is closed, as well as the degree of rebound and other rebound performance. If the rebound performance judgment does not meet the preset standard, it may indicate that the shielding strip is deformed or damaged and needs to be maintained or replaced.

[0080] In some embodiments, the rebound analysis module is also connected to the data acquisition module 14. When the rebound analysis module determines the rebound performance of the shielding strip at the current moment based on the displacement change, it is used to: send an information acquisition signal to the data acquisition module 14. After receiving the data acquisition signal, the data acquisition module 14 obtains the basic information of the RFID smart cabinet 1 and sends it to the rebound analysis module; after receiving the basic information, the rebound analysis module is used to analyze the basic information to determine the plastic material of the shielding strip; according to the plastic material, determine the stiffness and effective mass of the new shielding strip; according to the basic information, determine the layout position of the shielding strip; according to the layout position, determine the initial phase of the shielding strip; according to the displacement change, the effective mass, the initial phase and the stiffness, determine the attenuation curve of the shielding strip; according to the attenuation curve and the displacement change, determine the rebound performance of the shielding strip at the current moment.

[0081] The information acquisition signal may be an instruction or request sent by the rebound analysis module to the data acquisition module 14 , for informing the data acquisition module 14 that specific information needs to be acquired.

[0082] The basic information may be some basic data and parameters about the RFID smart cabinet 1 , including the material, size, layout location, historical usage data, etc. of the shielding strip.

[0083] The plastic material may be the type of plastic material used to manufacture the shielding strip.

[0084] Stiffness can be the ability of a material to resist deformation, which determines the degree of deformation of the shielding strip when subjected to external forces.

[0085] The effective mass can be the mass of the shield bar when it is under pressure. It is a manifestation of the motion state of the shield bar and is used to predict its rebound behavior.

[0086] The deployment position may be a specific installation position of the shielding strip in the RFID smart cabinet 1 .

[0087] The attenuation curve may be a characteristic curve in which the damping characteristic of the shielding strip attenuates with use time.

[0088] Specifically, the rebound analysis module sends an information acquisition signal to the data acquisition module 14, requesting to obtain the basic information of the RFID smart cabinet 1. After receiving the information acquisition signal, the data acquisition module 14 obtains the basic information of the RFID smart cabinet 1, including the plastic material and layout position of the shielding strip. After receiving the basic information, the rebound analysis module analyzes the information to determine the plastic material of the shielding strip. According to the plastic material of the shielding strip, the rebound analysis module determines the stiffness and effective mass of the new shielding strip. Based on the basic information, the rebound analysis module determines the layout position of the shielding strip. According to the layout position, the rebound analysis module determines the initial phase of the shielding strip. According to the displacement change, effective mass, initial phase and stiffness, the rebound analysis module determines the attenuation curve of the shielding strip. According to the attenuation curve, the rebound analysis module determines the rebound performance of the shielding strip at the current moment.

[0089] Through this solution, by sending an information acquisition signal, the rebound analysis module can request the required basic information for subsequent analysis and calculation. The acquisition of basic information provides the rebound analysis module with the key data required for analysis, which helps to accurately evaluate the rebound performance of the shielding strip. By analyzing the plastic material, the physical properties of the shielding strip can be understood, providing a basis for the subsequent calculation of parameters such as stiffness and effective mass. The determination of stiffness and effective mass helps to establish a physical model of the shielding strip and provide a basis for the calculation of the attenuation curve. The determination of the layout position helps to analyze the stress conditions of the shielding strip in actual applications. The determination of the initial phase helps to establish a motion model of the shielding strip and provide initial conditions for the calculation of the attenuation curve. The determination of the attenuation curve helps to predict the rebound performance of the shielding strip and provide a basis for maintenance and replacement decisions. The determination of the rebound performance helps to evaluate the overall performance of the smart cabinet system and ensure the normal operation of the cabinet door.

[0090] In some embodiments, the rebound analysis module determines the attenuation curve of the shielding strip according to the displacement change, effective mass, initial phase and stiffness, and uses the following formula (1) for calculation: (1); in, represents the attenuation curve; Indicates the preset displacement standard; represents the effective mass; Indicates stiffness; Indicates the initial phase; represents the damping coefficient; Indicates the usage time of the shield bar.

[0091] The initial phase may be a phase of displacement, used to determine the position of the shielding bar at the beginning.

[0092] The damping coefficient can describe the energy loss of the shielding bar during vibration.

[0093] The use time of the shielding strip can be started from when the shielding strip is installed in the RFID smart cabinet in a new state. Since the time when the RFID smart cabinet is open accounts for a very small proportion of the overall use time when the RFID smart cabinet is in use, the elastic attenuation of the shielding strip during the door opening time can be ignored in the calculation, so the elastic attenuation of the shielding strip can be uniformly calculated according to the closed door state.

[0094] Specifically, formula x(t) represents the real-time displacement state of the shielding strip under the condition of fixed tension over time (the real-time compression of the shielding strip as it ages, the unit can be mm), and the initial compression of the new shielding strip under fixed tension is the preset displacement standard, so the value calculated by the attenuation curve minus the preset displacement standard is how much more pressure is needed to achieve the shielding effect when the shielding strip is in the aged state. The specific rebound performance is a quantitative evaluation of the above-mentioned subtracted difference, and this quantitative evaluation can be directly quantified using existing technologies, such as grade / degree assignment.

[0095] The attenuation curve can be used to evaluate the rebound performance of the shielding strip. The rebound analysis module uses formula (1) to calculate the attenuation curve. The rebound analysis module inputs parameters such as displacement change, effective mass, initial phase and stiffness into the formula. The rebound analysis module needs to determine the damping coefficient , this coefficient is usually related to the material properties and structural design of the shielding strip. The rebound analysis module uses mathematical calculation methods to solve the formula and obtain the attenuation curve values ​​at different time points. The rebound analysis module analyzes the calculated attenuation curve to evaluate the rebound performance of the shielding strip. If the attenuation curve shows that the rebound performance of the shielding strip does not meet the requirements, the rebound analysis module will feedback to the system, and the system will take corresponding maintenance measures, such as notifying maintenance personnel to inspect or replace the shielding strip. In the above attenuation curve determination process, the implicit correlation between the attenuation curve and the displacement change can be expressed. The formula Actually implies the displacement change: the initial condition The displacement data from the shielding bar when it is used for the first time to close the door; the exponential coefficient in the formula Contains the historical trend of displacement changes; the displacement change sequence can be converted into stiffness attenuation parameters through finite element inversion.

[0096] With this solution, the attenuation curve can be used to evaluate the resilience of the shielding bar. By applying the formula, the rebound analysis module can predict the movement of the shielding bar as it decays over time after closing, thereby evaluating its resilience. The input of parameters ensures the accuracy of the calculation results, because these parameters directly affect the resilience of the shielding bar. The determination of the damping coefficient helps the rebound analysis module to simulate the rebound process of the shielding bar more accurately. The calculation process provides the rebound analysis module with the specific value of the attenuation curve, which can be used for further analysis and decision-making. By analyzing the attenuation curve, the rebound analysis module can determine whether the shielding bar is within the normal working range and whether it needs maintenance or replacement.

[0097] Figure 3 This is a flow chart of a RFID smart cabinet closing control method provided in one embodiment of the present application. The method of this embodiment can be applied to the control chip in the above scenario. Figure 3 As shown, the method includes: S301, obtaining door displacement changes, analyzing the door displacement changes, determining whether there is a door closing operation, and if there is a door closing operation, receiving lock body displacement data; S302, determining whether the lock is locked according to the lock body displacement data; S303. When determining whether the lock is dead, receiving and analyzing the first scanning result, determining whether the RFID smart cabinet is in a tightly closed state, and if so, determining that the RFID smart cabinet is tightly closed.

[0098] Optionally, the method includes: analyzing the first scanning result, if the first scanning result is empty, determining that the RFID smart cabinet is tightly closed; if the first scanning result is not empty, determining that the RFID smart cabinet is not tightly closed.

[0099] Optionally, the RFID smart cabinet further includes a second RFID tag, which is disposed on an item stored in the RFID smart cabinet.

[0100] Optionally, the method further includes determining whether the door body is in contact with the shielding strip when a door closing operation is performed, and if so, starting the controller and pulling the lock body forward to achieve locking.

[0101] Optionally, determining whether the lock is locked based on the lock body displacement data includes: Get the real-time pulling force of the controller; Analyze the real-time pulling force to determine whether the action force and reaction force are consistent; if they are consistent, it is determined to be locked.

[0102] Optionally, when receiving real-time tension, the data analysis module is also used to analyze the real-time tension, and when determining that the action force is consistent with the reaction force, obtain the displacement distance of the controller; compare the displacement distance with a preset displacement standard, and determine whether the shielding strip is deformed based on the comparison result.

[0103] Optionally, the method includes: Obtaining a number of displacement distances within a preset time period; analyzing the number of displacement distances to determine the displacement change between any one door closing and the next door closing; According to the displacement change, the resilience performance of the shielding strip at the current moment is determined.

[0104] Optionally, the rebound analysis module determines the rebound performance of the shielding strip at the current moment according to the displacement change, including: Get the basic information of RFID smart cabinet; Analyze basic information and determine the plastic material of the shielding strip; Determine the stiffness and effective mass of the new shielding strip based on the plastic material; Determine the layout position of the shielding strip based on the basic information; Determine the initial phase of the shielding strip according to the layout position; Determine the attenuation curve of the shielding strip according to the displacement change, effective mass, initial phase and stiffness; According to the attenuation curve and the displacement change, the resilience performance of the shielding strip at the current moment is determined.

[0105] Optionally, when determining the attenuation curve of the shielding strip according to the displacement change, effective mass, initial phase and stiffness, the following formula is used for calculation: ; in, represents the attenuation curve; Indicates the preset displacement standard; represents the effective mass; Indicates stiffness; Indicates the initial phase; represents the damping coefficient; Indicates the usage time of the shield bar.

[0106] The method of this embodiment can be applied to any of the above embodiments. Its implementation principle and technical effects are similar and will not be described in detail here.

Claims

1. A closed control system for an RFID smart cabinet, characterized in that: It includes an RFID smart cabinet, which includes an RFID scanner, a first RFID tag, a displacement sensor, and a control chip, and the control chip includes a data acquisition module and a data analysis module; The displacement sensor is connected to the data acquisition module and is used to detect the door displacement change and send the door displacement change to the data acquisition module; The data analysis module is connected to the data acquisition module; the data acquisition module is used to send the door displacement change to the data analysis module; The data analysis module is used to analyze the door displacement change to determine whether there is a door closing operation. If there is a door closing operation, a lock body monitoring signal is sent to the displacement sensor, a lock body displacement data receiving signal is sent to the data acquisition module, and the lock body displacement data monitored by the displacement sensor acquired by the data acquisition module is received, and whether the door is locked according to the lock body displacement data is determined; The displacement sensor is arranged in the cabinet of the RFID smart cabinet and connected to the cabinet; The RFID scanner is connected to the first RFID tag, the data acquisition module and the data analysis module respectively; when the data analysis module determines that the RFID tag is locked, the RFID scanner sends a read signal to the RFID scanner, and after receiving the read signal, the RFID scanner is used to obtain a first scan result of the first RFID tag, and the first scan result is sent from the data acquisition module to the data analysis module; The data analysis module is used to analyze the first scanning result to determine whether the RFID smart cabinet is in a tightly closed state. If so, it is determined that the RFID smart cabinet is tightly closed.

2. The system according to claim 1, characterized in that The RFID smart cabinet also includes a shielding strip, which is used to shield the RFID signals outside the RFID smart cabinet when the cabinet door of the RFID smart cabinet is closed; the RFID smart cabinet also includes a controller, which is connected to the data acquisition module and is used to determine whether the door body is in contact with the shielding strip when there is a door closing operation. If so, it is activated and the lock body is pulled forward to achieve locking.

3. The system according to claim 2, characterized in that The first RFID tag is set outside the door of the RFID smart cabinet, and the data analysis module analyzes the first scanning result. If the first scanning result is empty, it is determined that the RFID smart cabinet is tightly closed; if the first scanning result is not empty, it is determined that the RFID smart cabinet is not tightly closed.

4. The system according to claim 1, characterized in that The RFID smart cabinet also includes a second RFID tag, which is arranged on the items stored in the RFID smart cabinet.

5. The system according to claim 4, characterized in that When determining whether the lock is locked according to the lock body displacement data, the data analysis module is used to: Sending a tension acquisition signal to the data acquisition module so that the data acquisition module acquires the real-time tension of the controller and sends it to the data analysis module; When receiving the real-time pulling force, the data analysis module is used to analyze the real-time pulling force to determine whether the action force and the reaction force are consistent; if they are consistent, locking is determined.

6. The system according to claim 5, characterized in that When receiving the real-time pulling force, the data analysis module is also used to analyze the real-time pulling force, and when determining that the action force is consistent with the reaction force, obtain the displacement distance of the controller; compare the displacement distance with a preset displacement standard, and determine whether the shielding strip is deformed based on the comparison result.

7. The system according to claim 6, characterized in that The RFID smart cabinet also includes a rebound analysis module connected to the data analysis module; The rebound analysis module is used to obtain a number of displacement distances determined by the data analysis module within a preset period of time; analyze the number of displacement distances to determine the displacement change amount caused by any one door closing and the next door closing; The resilience performance of the shielding bar at the current moment is determined according to the displacement change.

8. The system according to claim 7, characterized in that The rebound analysis module is also connected to the data acquisition module. When the rebound analysis module determines the rebound performance of the shielding strip at the current moment according to the displacement change, it is used to: Sending an information acquisition signal to the data acquisition module, after receiving the data acquisition signal, the data acquisition module acquires the basic information of the RFID smart cabinet and sends it to the rebound analysis module; After receiving the basic information, the rebound analysis module is used to analyze the basic information and determine the plastic material of the shielding strip; Determine the stiffness and effective mass of the new shielding strip based on the plastic material; Determining the layout position of the shielding strip according to the basic information; Determining the initial phase of the shielding strip according to the layout position; Determining an attenuation curve of the shielding strip according to the displacement change, the effective mass, the initial phase and the stiffness; The resilience performance of the shielding bar at the current moment is determined according to the attenuation curve and the displacement change.

9. The system according to claim 8, characterized in that The rebound analysis module determines the attenuation curve of the shielding strip according to the displacement change, the effective mass, the initial phase and the stiffness by using the following formula: ； in, represents the attenuation curve; Indicates the preset displacement standard; represents said effective mass; represents the stiffness; represents the initial phase; represents the damping coefficient; Indicates the usage time of the shield bar.

10. A closing control method for an RFID smart cabinet, characterized in that: A system as claimed in any one of claims 1 to 9, comprising: Obtaining door displacement changes, analyzing the door displacement changes, determining whether there is a door closing operation, and if there is a door closing operation, receiving lock body displacement data; Determining whether the lock is locked according to the lock body displacement data; When determining whether the lock is dead, the first scanning result is received and analyzed to determine whether the RFID smart cabinet is in a tightly closed state. If so, it is determined that the RFID smart cabinet is tightly closed.

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