Paper file positioning and health degree self-diagnosis method and system

Abstract

The invention provides a paper archive positioning and health degree self-diagnosis method and system, and belongs to the field of organization asset paper archive management. The method comprises the following steps: constructing layered near-field read-write coverage on each layer of a file cabinet, and setting a reference label and an interlayer leakage metering label; collecting RSSI and other characteristics of each layer of reference and leakage labels, and performing port-level calibration to obtain hierarchical power margin and leakage probability parameters; calculating the level health degree based on indexes such as margin, leakage and drift, and carrying out online discrimination on cross-layer serial reading, same-layer missed reading and environment drift; and dynamically adjusting hierarchical transmitting power and a discrimination threshold according to a health degree result, and performing session attribution and trace auditing on the pick-and-place behavior in combination with an access control event window. Compared with the prior art, the method has the advantages that the hierarchical positioning stability and maintainability in a file cabinet environment are improved, the risks of serial reading, missed reading and horizon drifting are reduced, the workload of manual retrieval and inventory is reduced, and the traceability and management efficiency of borrowing circulation are improved.

Description

Technical Field

[0001] This invention relates to the field of paper-based record management, and specifically to a method and system for self-diagnosing the location and health status of paper-based records. Background Technology

[0002] Paper archives have a long retention period, a large number of documents, and are frequently borrowed across departments. In terms of management, it is required that the target archives can be quickly located and retrieved, and that the borrowing and returning process be traceable and verifiable, and that it can be linked with security management such as access control. However, in actual operation, paper archive management still faces a number of challenges, resulting in low efficiency, many errors, and high long-term maintenance costs. The problems existing in the current technology are mainly concentrated in the following aspects: (1) Paper archives still rely heavily on manual registration and manual search in the stages of storage, borrowing, returning and inventory, which is prone to omissions, errors, and failure to return in time, making it difficult to hold people accountable, resulting in an incomplete circulation chain and difficulty in auditing and providing evidence. (2) The management method that relies solely on fixed location and digital index is difficult to cover real scenarios such as misplacement of archive boxes and movement across floors. The location recorded by the system is prone to deviation from the actual location of the physical entity, and inventory and error correction are highly dependent on manual labor. (3) Existing solutions generally lack calibration and self-diagnosis mechanisms for port-to-layer RF links, making it difficult to identify positioning quality degradation caused by interlayer leakage and drift in a timely manner, thus affecting the reliability of positioning, inventory and borrowing audits. Therefore, it is urgent to propose a paper file positioning and self-calibration and self-diagnosis scheme to improve the stability of file positioning and the traceability of borrowing management. Summary of the Invention

[0003] The purpose of this invention is to solve the technical problems mentioned above and to propose a method for locating and self-diagnosing the health status of paper archives, comprising the following steps: S1. File index binding: Establish an association index between the tag ID of the file box and the name, model, serial number and user department of the organization's assets and equipment; S2. Port calibration and configuration: Perform power scanning on the RF port. Based on the reading of the reference tag in this layer and the triggering of the leakage metering tag in the adjacent layer, calibrate the link bias value and determine the power margin of the port. Then select the operating power and scanning timing parameters to generate a port-level configuration table. S3. Health self-diagnosis: During operation, based on the time drift of port-level calibration parameters and the triggering frequency of leakage metering tags under operating power, the leakage health index of each port layer is calculated. S4. Positioning Decision: The control RF port polls the tags of the file box with the operating power and scanning timing parameters in the port-level configuration table, collects signal strength, combines the leakage health index to perform hierarchical discrimination of the file box tags, and outputs the hierarchical position discrimination result.

[0004] In the preferred embodiment, step S2, port calibration and configuration, specifically includes: During non-borrowing hours, the first The layer RF port performs a power scan, reads the reference tag to calculate the link offset value, and determines the minimum available power that can stably read the reference tag of this layer. During the gradual increase of transmission power, the leakage triggering status of leakage metering tags in adjacent layers is monitored. When any leakage metering tag meets the leakage triggering condition, the initial triggering power is recorded, and a safety margin is subtracted from the initial triggering power to determine the upper limit of the leakage safe power for that port. ,based on and The power margin is calculated based on the difference, and the operating power is selected. And scan timing parameters, generate a port-level configuration table containing the above parameters; among which, operating power The calculation is shown in equation (1): (1); in, For the preset security level; the data structure of the port-level configuration table should at least contain ,in This is the link offset value. These are the scan timing parameters.

[0005] In the preferred embodiment, the leakage health index in step S3 The calculation is shown in equation (2): (2); in, For power margin, This represents the probability of a misread of the leakage metering tag from this layer's port to the adjacent layer. The port parameter drift is defined by the rate of change of the minimum available power and the upper limit of the leakage safe power over a preset time interval; when When the power consumption is below a preset threshold, the system will automatically adjust its operating power or generate a maintenance alarm.

[0006] In a preferred embodiment, step S3 further includes fault attribution logic: when the trigger frequency of leakage metering tags in only a specific location increases abnormally, it is determined that the structural gap shielding at the corresponding physical location has failed; when the trigger frequency of leakage metering tags in all locations increases and the power margin decreases significantly, it is determined that the matching load of the leakage cable is abnormal or the connector is loose.

[0007] In the preferred scheme, step S4, the location decision, specifically includes: Calculate the file box label in the first Layer level score The calculation is shown in equation (3): (3); in, The normalized signal strength after correction for link bias value. For the number of reads, Indicates the sliding window variance For normalization function, These are the weighting coefficients; The highest-scoring level is selected as the primary candidate level, and the leakage health index of that level is used to perform constraint judgment: when the leakage health meets the preset health conditions, the primary candidate level is output as the target level position; when the leakage health does not meet the preset health conditions, the critical state is output and a review prompt is given.

[0008] In the preferred embodiment, the borrowing session auditing step is also included: real-time monitoring of cabinet door status; when the cabinet door is detected to be open and an entry event window is detected, the port labeling and configuration steps are frozen, and the stored port-level configuration table is directly called to perform high-frequency polling; a take-out event or return event is generated based on the existence status change of the item tag, and the event is bound to the session ID generated by the access control card swipe, and the operation time and hierarchical change information are recorded.

[0009] This invention also provides a paper archive positioning and health self-diagnosis system, used to implement the above-described paper archive positioning and health self-diagnosis method, including: The RFID reader module includes an RFID reader and a multiplexer connected to it. The multiplexer is expanded to form multiple radio frequency ports. Each radio frequency port is connected to the leaky coaxial cable of each layer board to form a mapping relationship between the layer and the radio frequency port. The infrastructure labeling module includes reference labels fixed to each shelf and leakage measurement labels located at the edge of the shelf; The control module is programmed to maintain a port-level configuration table. The port-level configuration table stores at least the fixed link bias value, power threshold parameter, operating power, and scan timing parameter for each RF port. When the control module detects a door opening event window, it freezes the port calibration and configuration process and calls the stored port-level configuration table to perform high-frequency polling. Based on the change in the existence status of the file box tag, it generates a retrieval event or a return event and binds the retrieval event or return event with the borrowing session ID to record the operation time and level change information.

[0010] In the preferred embodiment, the leakage measurement tag includes at least two electronic tags, which are respectively placed at the joint between the shelf and the cabinet column and at the edge of the shelf near the cabinet door, to form a spatial leakage fingerprint.

[0011] In the preferred embodiment, a digital twin and alarm terminal are also included, which are used to receive data output by the control module, display the confidence level of the item's hierarchical location in a visual manner, and display the leakage health index of each layer in the form of a heat map.

[0012] In the preferred embodiment, an environmental monitoring and alarm linkage module is also included, which is used to monitor smoke and temperature rise data in the cabinet and transmit environmental data to the control module; when an environmental alarm is triggered, the control module pushes the alarm to the on-duty personnel and outputs a list of affected cabinets and key files, while freezing ongoing borrowing sessions to protect the audit evidence chain.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: This invention integrates multi-source data such as basic archival information, borrowing sessions, and access control events. By constructing layered near-field read / write coverage within the filing cabinet and introducing reference tags and inter-layer leakage measurement tags, it achieves port-level RF parameter calibration and configuration solidification. During operation, based on leakage health indicators, it continuously assesses and predicts inter-layer crosstalk, intra-layer missed reads, and environmental drift, thereby stabilizing the layer where the filing box is located and outputting an interpretable chain of location evidence. This enables managers to quickly locate target files, reduce manual investigation and inventory time, and promptly trigger self-maintenance or prompt intervention when the location quality deteriorates.

[0014] By linking the borrowing session with the door opening event window for auditing, this invention can attribute file movement and personnel operations to the cause, reducing the risk of difficulty in tracing omissions, errors, and non-returns, and improving the traceability and compliance of borrowing and returning. At the same time, the self-calibration mechanism based on port calibration and health closed loop can significantly reduce the layer number jump and unstable positioning caused by the coexistence of cross-reading and missed reading, reduce long-term operation and maintenance costs, and improve the overall efficiency and reliability of file management. Attached Figure Description

[0015] Figure 1 This is a flowchart of a paper archive location and health self-diagnosis method in Example 1.

[0016] Figure 2 This is a flowchart of the file management method in Example 2.

[0017] Figure 3 This is a structural diagram of the file management system in Example 3. Detailed Implementation

[0018] Example 1 This embodiment proposes a method for locating and self-diagnosing the health status of paper archives, applied to an archive cabinet storing the entire lifecycle archives of an organization's assets and equipment. Each shelf of the archive cabinet is equipped with a leaky coaxial cable and an end-matching load. The archive cabinet is equipped with an RFID reader / writer with multiple radio frequency ports extended by a multiplexer. Each radio frequency port is connected to the leaky coaxial cable of each shelf to form a mapping relationship between the shelf and the port. Furthermore, each shelf is fixedly equipped with at least one reference tag and at least two leak measurement tags located in the edge area. Figure 1 As shown, the method includes the following steps: S1. File Index Binding: Establish an index linking the file box's tag ID with the organization's asset and equipment name, model, serial number, and user department; S2. Port calibration and configuration: During non-borrowing periods, power scanning is performed on the RF port. Based on the reading status of the reference tag in this layer and the triggering status of the leakage measurement tag in the adjacent layer, the link bias value is calibrated and the power margin of the port is determined. Then, the operating power and scanning timing parameters are selected to generate a port-level configuration table. S3. Health self-diagnosis: During operation, the leakage health index of each port is calculated based on the time drift of the port-level calibration parameters and the triggering frequency of the leakage metering tag under the operating power. S4. Location Decision: The control RF port polls the file box tags with the operating power and scanning timing parameters in the port-level configuration table, collects signal strength, combines the leakage health index to perform hierarchical discrimination of the file box tags, and outputs the hierarchical location discrimination result.

[0019] Preferably, step S2, port calibration and configuration, specifically includes: During non-borrowing hours, the first The layer RF port performs a power scan, reads the reference tag to calculate the link offset value, and determines the minimum available power that can stably read the reference tag of this layer. During the gradual increase of transmission power, the leakage triggering status of leakage metering tags in adjacent layers is monitored. When any leakage metering tag meets the leakage triggering condition, the initial triggering power is recorded, and a safety margin is subtracted from the initial triggering power to determine the upper limit of the leakage safe power for that port. ,based on and The power margin is calculated based on the difference, and the operating power is selected. And scan timing parameters, generate a port-level configuration table containing the above parameters; among which, operating power The calculation is shown in equation (1): (1) in, For the preset security level; the data structure of the port-level configuration table should at least contain ,in This is the link offset value. These are the scan timing parameters.

[0020] Preferably, in step S3, the leakage health index The calculation is shown in equation (2): (2) in, For power margin, This represents the probability of a misread of the leakage metering tag from this layer's port to the adjacent layer. The port parameter drift is defined by the rate of change of the minimum available power and the upper limit of the leakage safe power over a preset time interval; when When the power consumption is below a preset threshold, the system will automatically adjust its operating power or generate a maintenance alarm.

[0021] Preferably, step S3 further includes fault attribution logic: when the trigger frequency of leakage metering tags in only a specific location increases abnormally, it is determined that the structural gap shielding at the corresponding physical location has failed; when the trigger frequency of leakage metering tags in all locations increases and the power margin decreases significantly, it is determined that the matching load of the leakage cable is abnormal or the connector is loose.

[0022] Preferably, step S4, the location decision, specifically includes: Calculate the file box label in the first Layer level score The calculation is shown in equation (3): (3) in, The normalized signal strength after correction for link bias value. For the number of reads, Indicates the sliding window variance For normalization function, These are the weighting coefficients; The highest-scoring level is selected as the primary candidate level, and the leakage health index of that level is used to perform constraint judgment: when the leakage health meets the preset health conditions, the primary candidate level is output as the target level position; when the leakage health does not meet the preset health conditions, the critical state is output and a review prompt is given.

[0023] Preferably, the method includes a borrowing session auditing step: real-time monitoring of cabinet door status; when a cabinet door is detected to be open and an entry event window is detected, freezing the port labeling and configuration steps, and directly calling the stored port-level configuration table to perform high-frequency polling; generating a take-out event or return event based on the existence status change of the item tag, and binding the event with the session ID generated by the access control card swipe, and recording the operation time and hierarchical change information.

[0024] This embodiment also provides a paper archive positioning and health self-diagnosis system for implementing the above-described method, including: The filing cabinet is equipped with a leaky coaxial cable and a matching load at the end of each shelf. An RFID reader / writer module includes an RFID reader / writer and a multiplexer connected thereto. The multiplexer is expanded to form multiple radio frequency ports, and each radio frequency port is connected to a leaky coaxial cable of each layer board to form a mapping relationship between the layer and the radio frequency port. The infrastructure labeling module includes reference labels fixed to each shelf and leakage measurement labels located at the edge of the shelf; The door magnetic acquisition module is used to monitor the cabinet door status in real time and trigger the door opening event window when the cabinet door changes from closed to open; The access control and session auditing module is used to generate a borrowing session ID and bind it to the personnel identifier and cabinet identifier when a person swipes their card to pass through. The control module is programmed to maintain a port-level configuration table. The port-level configuration table stores at least the fixed link bias value, power threshold parameter, operating power, and scan timing parameter for each RF port. When the control module detects a door opening event window, it freezes the port calibration and configuration process and calls the stored port-level configuration table to perform high-frequency polling. Based on the change in the existence status of the file box tag, it generates a retrieval event or a return event and binds the retrieval event or return event with the borrowing session ID to record the operation time and level change information.

[0025] Preferably, the leakage measurement tag includes at least two electronic tags, which are respectively set at the joint between the shelf and the cabinet column and at the edge of the shelf near the cabinet door, to form a spatial leakage fingerprint.

[0026] Preferably, it includes a digital twin and an alarm terminal; the terminal is configured to receive data output by the control module, display the confidence level of the item's hierarchical location in a visual manner, and display the leakage health index of each layer in the form of a heat map.

[0027] Preferably, it includes an environmental monitoring and alarm linkage module, which monitors smoke and temperature rise data inside the cabinet and transmits the environmental data to the control module; when an environmental alarm is triggered, the control module pushes the alarm to the on-duty personnel and outputs a list of affected cabinets and key files, while freezing ongoing borrowing sessions to protect the audit evidence chain.

[0028] This solution is also applicable to metal filing cabinets. In environments with dense metal structures, such as metal filing cabinets, if UHF RFID is used directly for cabinet identification and inventory, cross-layer cross-reading and same-layer missed reading often occur simultaneously. Increasing the transmission power to improve missed reading will aggravate cross-reading, while reducing the power to suppress cross-reading will aggravate missed reading. This causes the layer judgment to drift with changes in the environment, manifesting as unstable positioning, layer number jumps, and difficulty in quickly locking the target even after manual access to the layer.

[0029] By employing the above methods and systems, the stability and maintainability of hierarchical positioning in metal filing cabinet environments can be improved, the risks of misreading and missing information and hierarchical drift can be reduced, the workload of manual retrieval and inventory can be decreased, and the traceability and management efficiency of borrowing and circulation can be enhanced. See Examples 2 and 3 for details.

[0030] Example 2 like Figure 2 As shown, this embodiment is applicable to the management of paper-based medical equipment records in hospitals. Medical equipment records cover procurement, acceptance, maintenance, measurement, inspection, and disposal, with long retention periods, large quantities, and frequent cross-departmental borrowing. Management requires both "quick retrieval of records" and "traceability and verifiability of borrowed and returned records." Simultaneously, the archive room needs to meet fire safety monitoring and alarm linkage requirements. In this scenario, filing cabinets are often metal-framed structures. If UHF RFID is used directly for cabinet inventory, cross-layer cross-reading and same-layer missed readings often occur simultaneously. Attempting to improve missed readings by increasing transmission power exacerbates cross-reading, while reducing power to suppress cross-reading exacerbates missed readings, causing layer location judgment to drift with environmental changes, manifesting as "layer number jumps, unstable positioning, and being misled even after manual layer access." Furthermore, if borrowing relies on manual registration, omissions, errors, or failure to return items are easily recorded and difficult to trace.

[0031] To address the aforementioned issues, this embodiment employs a method that combines "layered leaky coaxial cable LCX coverage, port-level configuration table PortProfile solidification, leak metering tag array L forming a health self-diagnosis closed loop, and access control session with door opening event window Window_open" to achieve hierarchical location, stable hierarchy, and long-term maintainable file location and borrowing auditing.

[0032] Before implementation, a file tag was affixed to each medical device paper file box and a unique EPC was written into it. The EPC was then bound to the file index information, which included at least the device name, model, serial number, department using the device, and key document index fields. The system established a structural model of the file room and file cabinets, and established a mapping relationship between CabinetID, LayerID, and radio frequency port for subsequent output of the location result of "cabinet number - layer number - confidence level - most recent confirmation time".

[0033] In terms of hardware, each filing cabinet has a metal frame and approximately 1mm thick metal shelves. Each shelf is equipped with a 50Ω leaky coaxial cable (LCX) as a linear coverage antenna, with a 50Ω matching load connected to the end of the LCX to suppress reflections and improve field uniformity along the line. Each cabinet is equipped with a UHF RFID reader, which is expanded into multiple RF ports via a multiplexer, each connected to one of the LCXs on each layer, allowing the reader to poll layer by layer. To achieve port-level calibrability and self-diagnosis, each layer has a fixed infrastructure tag set, including reference tags. With leak measurement label . Fixed at the standard position on this layer, used for link bias calibration and power closed-loop target; At least two, fixed at the geometric points on the easily leaking edge of the layer, are used for cross-layer leakage measurement and spatial fingerprint attribution.

[0034] When the cabinet door is closed or during nighttime maintenance, the system performs a port-level calibration and hardening process for each port to generate a port-level configuration table PortProfile[i]. When polling to activate the i-th layer port, the system first reads the reference tag with initial power. To obtain the reference reading With the number of reads And calculate link offset This allows for normalization of read strength under the same port in subsequent operations. One implementation of link offset is to use the center of the reference target window. Based on this, let: (1) Therefore, the RSSI of any read intensity is normalized: (2) in is the normalized read strength of port i.

[0035] The system then adjusts the transmit power P in a stepped manner to find the minimum usable power that makes the reference tag stably readable. Stable readability criteria can be determined by combining the number of reads with an intensity window, for example, satisfying: (3) Then we take the smallest P that satisfies the above conditions as Within the sliding window, the system statistically analyzes consecutive polling results for the same label. When the label is within the sliding window, its... All values ​​fall within the preset receiving range And the corresponding number of successful reads (Count) is not less than the threshold. When this happens, the tag is determined to be in a stable and readable state at the current level. and the receiving interval These are preset parameters, and their specific values ​​can be configured and adjusted according to the system read / write cycle, tag density, and on-site electromagnetic environment.

[0036] In determining During or subsequently, the system monitors the triggering status of leakage metering tags in adjacent layers as the power is gradually increased. A leak is considered to have started when any leakage metering tag meets the leakage triggering condition (e.g., the number of reads exceeds a threshold or the normalization strength exceeds a threshold). (4) And record the initial trigger power. Based on this, the upper limit of the safe leakage power of the port is determined. As shown in equation (5): (5) in For safety margin, the value range is, for example, 0.5–3 dB. This yields the power margin: (6) System selects operating power satisfy One feasible selection method is shown in equation (7): (7) Simultaneously, the port's polling dwell time slot, retry count, frequency hopping configuration, and other scanning timing parameters are fixed. The above. , , , , Together they form the port-level configuration table PortProfile[i], which is stored for quick runtime access, thus avoiding reliance on manual parameter tuning during runtime.

[0037] After completing the PortProfile, the system enters normal polling positioning. The reader polls each port layer by layer, using the port at layer i. and Read the set of all file tags in this layer and obtain the tags for each tag under this port. and and as described above Obtain normalized read strength For the same tag, the system aggregates data across layers to form vector evidence and calculates the hierarchical score. One feasible scoring function is: (8) in Indicates within the sliding window The variance or jitter metric is used to distinguish between stable intra-layer reads and reflected crosstalk reads with fluctuations; the sliding window refers to the window that monitors the same tag across multiple consecutive RFID polls or within a continuous time period. The sampled data set formed by the measured values ​​is updated by sliding the window forward over time. Each update introduces the latest sampled value and removes the oldest sampled value to avoid interference from historical data in the current judgment. is the normalization function; a, b, and c are weights. To facilitate uniform weighting of different statistics, the... In this embodiment, it can be implemented as follows: First, normalize the read strength. Stable readable window based on reference labels Mapping to the interval [0,1], let ,in To prevent positive numbers with a denominator of zero, This means truncating the input to the interval [0,1]. Normalization of read counts can be achieved using the same port and the same scan dwell time slot. Reference tag read count As a standard, let Dispersion within the sliding window Calculated based on sequence {s_i}, since ∈[0,1], its variance theoretically has a bound of 0.25, therefore let The weights a, b, and c are preset positive coefficients, which, as one possible implementation method, satisfy a+b+c=1. a, b, and c can be determined by grid search on port-level calibration samples with the goal of maximizing the layer number decision accuracy, and stored together with the PortProfile.

[0038] The system selects the primary candidate layer: (9) And select the next candidate layer The corresponding confidence level is defined as: (10) when And when the port's health status meets the requirements, the system outputs the layer number of the tag. and update the LayerID in the digital twin; when If the port health status does not meet the requirements, the system outputs a critical state, maintaining the previous stable layer number unchanged, and prompts for manual verification to avoid frequent layer number jumps due to short-term occlusion or occasional cross-reads. The preset confidence threshold is used to determine whether the score difference between the primary candidate layer and the secondary candidate layer meets the requirements for automatic confirmation of the level.

[0039] To ensure the long-term stability and maintainability of hierarchical positioning, the system continuously calculates leakage health indicators. And perform self-diagnostic closed-loop. Leakage health is at least determined by power margin. Leakage trigger probability With parameter drift Together they constitute, among which It can be determined by the operating power The frequency at which the leakage metering tag is read is defined, for example, within the statistics window W: (11) Parameter drift can be and The time rate of change is defined, for example: (12) Comprehensive results One implementation method is: (13) when Falling below the threshold or When the level rises abnormally, the system uses leakage measurement tags. The multi-point readout distribution forms a spatial fingerprint of the leakage for attribution. For example, "only one side of the L is abnormal" points to edge gap diffraction or structural deformation, while "multiple points of L are abnormal at the same time and the margin decreases sharply" points to an open circuit in the matched load, a loose connector, or an abnormal standing wave. Based on this, the system performs closed-loop processing: automatically downgrading at a less severe level. It also increases the number of retries; triggers recalibration to update the PortProfile at medium levels; and outputs maintenance alarms and provides a list of executable checks at heavier levels, including 50Ω load, connector fastening, LCX fixed spacing and edge conductivity management, thereby transforming crosstalk and drift from uncontrollable phenomena into a quantifiable, attributable, and maintainable engineering closed loop.

[0040] In terms of borrowing auditing, the system uses personnel authentication and door magnetic sensor status as dependencies for identifying and attributing borrowing and releasing behaviors. After a person swipes their card, a borrowing session is generated and bound to PersonID and CabinetID. When the cabinet door changes from closed to open, the system enters the door opening event window (Window_open). To avoid erroneous calibration updates caused by multipath changes in door opening, the port-level calibration process is frozen within Window_open, only calling the pre-defined PortProfile to perform local high-frequency polling, thereby improving the temporal resolution of borrowing and releasing actions. The system determines whether a tag should be taken out or returned by detecting changes in the tag's existence status: when a tag changes from stable existence to being missing for N consecutive rounds, a take-out event is determined, and FromLayer, time, and Δ(Tag) are recorded; when a tag changes from missing to stable appearance, a return event is determined, and ToLayer, time, and Δ(Tag) are recorded. When ToLayer and FromLayer are inconsistent or Δ(Tag) is insufficient, the system marks it as mis-layered or critically returned and prompts for manual review. The session ends and a session summary is generated after the cabinet door is closed and the timeout period expires. Optional chained summary logging can be used to enhance tamper resistance. The system ultimately outputs the file index, CabinetID, LayerID, Δ(Tag), most recent acknowledgment time, and status to the client. It is presented in a digital twin interface and monitors smoke, temperature rise and optional flame sensors in the archive room. When an environmental alarm is triggered, the session is frozen and the duty personnel and the list of affected personnel are pushed to the system. This achieves the goal of making the paper archives of hospital medical equipment searchable, traceable, maintainable and secure.

[0041] Example 3 like Figure 3 As shown, this embodiment provides a system that applies the above method to construct a system with "layered leaky coaxial cable LCX coverage, port-level configuration table PortProfile solidification, leak health index LHI self-diagnosis closed loop, and borrowing session and door opening event window Window_open audit attribution" as its core.

[0042] The system includes a file tag and index binding unit, used to assign a file tag to each medical device paper file box and write a unique EPC, and establish a correspondence between the EPC and the device file index information. The system also includes a digital twin and structure mapping unit, used to build a structural model of the archive room, filing cabinets and shelves, maintain the mapping relationship between CabinetID, LayerID and radio frequency port, and receive the positioning engine output to update the visual status of the cabinets and shelves.

[0043] The system's radio frequency coverage comprises metal-framed filing cabinets and layered leaky coaxial cable arrays. Each metal-framed filing cabinet contains approximately 1mm thick metal shelves, with each shelf fitted with a 50Ω leaky coaxial cable (LCX) and connected to a 50Ω matching load at its end. The LCXs are fixed in place relative to the shelves using an insulating dielectric structure, thus reducing field drift. Each filing cabinet is equipped with a UHF RFID reader / writer. The reader / writer uses a multiplexer to create multiple ports, each connected to one of the LCXs on each layer, enabling layered polling with one reader / writer per cabinet.

[0044] The system also includes infrastructure label groups and a port configuration management unit. The infrastructure label groups set reference labels at each layer. With leak measurement label The port configuration management unit is used to perform port-level calibration and persistence in the closed state or maintenance window, based on... Reading calculation link offset And determine the minimum available power. The upper limit of the leakage safe power is determined based on the triggering status of leakage metering tags in adjacent layers. Based on this, a power margin is formed. And select operating power Simultaneously cured The timing parameters are scanned to form the port-level configuration table PortProfile[i] = { , , , , The port configuration management unit also provides the ability to recalibrate and update the PortProfile, and provides the self-diagnostic unit with a sequence of historical parameters for drift calculation.

[0045] The system includes a hierarchical positioning engine, which is used to quickly poll ports at each level by PortProfile and collect the read intensity of each tag under each port. With the number of reads , and according to Normalization is performed, and then the hierarchical score is calculated. Output the main candidate layer With confidence level The hierarchical positioning engine is based on... The threshold and hysteresis state machine outputs a stable layer number or critical state, and writes the output into the digital twin and business applications.

[0046] The system includes a leak health self-diagnosis unit, which continuously calculates the leak health index for each floor. The self-diagnostic unit is based on... , and For input, where Defined by the trigger frequency of the leakage metering tag within the statistics window. Depend on and Definition of the rate of change over time according to Calculation. The self-diagnostic unit utilizes leak metering tags. The multiple results form a leakage space fingerprint for fault attribution, and based on this, closed-loop handling instructions are output to the control unit, including downgrading... Increase the number of retries, trigger recalibration, or output a maintenance alarm and suggestion list to achieve a closed-loop engineering process that is "quantifiable, attributable, manageable, and maintainable".

[0047] The system includes an access control and session auditing unit and a door magnetic sensor acquisition unit. The access control and session auditing unit generates a borrowing session and binds it to the PersonID and CabinetID when a person swipes their card to pass through. The door magnetic sensor acquisition unit triggers a door opening event window (Window_open) when the cabinet door changes from closed to open. Within Window_open, the session auditing unit freezes calibration learning, only calls the existing PortProfile to perform local high-frequency polling, and identifies retrieval and return events through tag existence changes. It binds the events to the session and records FromLayer, ToLayer, time, and Δ(Tag). Under conditions of misalignment or critical confidence, it outputs a review prompt. The session ends and a session summary is generated after the cabinet door closes and timeout. The log can optionally be chained for summary persistence to improve tamper resistance.

[0048] The system also includes an environmental monitoring and alarm linkage unit, which connects to smoke, temperature rise, and optional flame sensors to record environmental data. When an alarm is triggered, it pushes notifications to on-duty personnel and outputs a list of affected cabinets and critical files. It can also freeze ongoing sessions to protect the audit evidence chain. The system provides a web or mobile interface through a client display unit, uniformly displaying file index retrieval results, CabinetID and LayerID, confidence level Δ (Tag), and port leakage health status. The system includes critical and missing states, maintenance alarms, and borrowing audit records, thereby meeting the comprehensive requirements of hospital medical equipment paper record management in terms of efficiency, traceability, stability, and security.

[0049] In summary, the system described in Embodiment 2, based on the principles of "layered near-field read / write coverage, port-level calibration and solidification, closed-loop health self-diagnosis, and access control session and door opening event window audit attribution," implements the method of Embodiment 1 at the system architecture level. The system deploys leaky coaxial cables on each layer of the metal filing cabinet, with multiple ports polled by the reader / writer. Port calibration is completed by combining reference tags on each layer with leak metering tags on adjacent layers. Power margin is calculated, and parameters such as optimal power and polling time slots are solidified to form a port configuration table. During operation, health indicators are continuously calculated to diagnose cross-reading, missed reads, and drift, and power adjustments, recalibration, or maintenance alarms are executed accordingly, forming a closed-loop self-maintenance system. During the borrowing process, access control authentication triggers the session. The calibration process is frozen during door opening, and high-frequency polling is performed according to the solidified configuration. Tag presence changes determine retrieval and return, and the layer and time are recorded, achieving borrowing record keeping and traceable management.

[0050] The above embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for locating and self-diagnosing the health status of paper archives, characterized in that, Includes the following steps: S1. File index binding: Establish an association index between the tag ID of the file box and the name, model, serial number and user department of the organization's assets and equipment; S2. Port calibration and configuration: Perform power scanning on the RF port. Based on the reading of the reference tag in this layer and the triggering of the leakage metering tag in the adjacent layer, calibrate the link bias value and determine the power margin of the port. Then select the operating power and scanning timing parameters to generate a port-level configuration table. S3. Health self-diagnosis: During operation, based on the time drift of port-level calibration parameters and the triggering frequency of leakage metering tags under operating power, the leakage health index of each port layer is calculated. S4. Positioning Decision: The control RF port polls the tags of the file box with the operating power and scanning timing parameters in the port-level configuration table, collects signal strength, combines the leakage health index to perform hierarchical discrimination of the file box tags, and outputs the hierarchical position discrimination result.

2. The method for locating and self-diagnosing the health status of paper archives according to claim 1, characterized in that, Step S2 port calibration and configuration specifically includes: During non-borrowing hours, the first The layer RF port performs a power scan, reads the reference tag to calculate the link offset value, and determines the minimum available power that can stably read the reference tag of this layer. During the gradual increase of transmission power, the leakage triggering status of leakage metering tags in adjacent layers is monitored. When any leakage metering tag meets the leakage triggering condition, the initial triggering power is recorded, and a safety margin is subtracted from the initial triggering power to determine the upper limit of the leakage safe power for that port. ,based on and The power margin is calculated based on the difference, and the operating power is selected. And scan timing parameters, generate a port-level configuration table containing the above parameters; among which, operating power The calculation is shown in equation (1): (1)； in, For the preset security level; the data structure of the port-level configuration table should at least contain ,in This is the link offset value. These are the scan timing parameters.

3. The method for locating and self-diagnosing the health status of paper archives according to claim 1, characterized in that, Leakage health index in step S3 The calculation is shown in equation (2): (2)； in, For power margin, This represents the probability of a misread of the leakage metering tag from this layer's port to the adjacent layer. The port parameter drift is defined by the rate of change of the minimum available power and the upper limit of the leakage safe power over a preset time interval; when When the power consumption is below a preset threshold, the system will automatically adjust its operating power or generate a maintenance alarm.

4. The method for locating and self-diagnosing the health status of paper archives according to claim 1, characterized in that, Step S3 also includes fault attribution logic: when the trigger frequency of leakage metering tags in only a specific location increases abnormally, it is determined that the structural gap shielding at the corresponding physical location has failed; when the trigger frequency of leakage metering tags in all locations increases and the power margin decreases significantly, it is determined that the matching load of the leakage cable is abnormal or the connector is loose.

5. The method for locating and self-diagnosing the health status of paper archives according to claim 1, characterized in that, Step S4, the location decision, specifically includes: Calculate the file box label in the first Layer level score The calculation is shown in equation (3): (3)； in, The normalized signal strength after correction for link bias value. For the number of reads, Indicates the sliding window variance For normalization function, These are the weighting coefficients; The highest-scoring level is selected as the primary candidate level, and the leakage health index of that level is used to perform constraint judgment: when the leakage health meets the preset health conditions, the primary candidate level is output as the target level position; when the leakage health does not meet the preset health conditions, the critical state is output and a review prompt is given.

6. The method for locating and self-diagnosing the health status of paper archives according to claim 1, characterized in that, It also includes a borrowing session auditing step: real-time monitoring of cabinet door status; when a cabinet door is detected to be open and an entry event window is detected, the port calibration and configuration steps are frozen, and the stored port-level configuration table is directly called to perform high-frequency polling; a take-out event or return event is generated based on the existence status change of the item tag, and the event is bound to the session ID generated by the access control card swipe, and the operation time and hierarchical change information are recorded.

7. A paper archive positioning and health self-diagnosis system, used to implement the paper archive positioning and health self-diagnosis method described in claims 1-6, characterized in that, include: The RFID reader module includes an RFID reader and a multiplexer connected to it. The multiplexer is expanded to form multiple radio frequency ports. Each radio frequency port is connected to the leaky coaxial cable of each layer board to form a mapping relationship between the layer and the radio frequency port. The infrastructure labeling module includes reference labels fixed to each shelf and leakage measurement labels located at the edge of the shelf; The control module is programmed to maintain a port-level configuration table. The port-level configuration table stores at least the fixed link bias value, power threshold parameter, operating power, and scan timing parameter for each RF port. When the control module detects a door opening event window, it freezes the port calibration and configuration process and calls the stored port-level configuration table to perform high-frequency polling. Based on the change in the existence status of the file box tag, it generates a retrieval event or a return event and binds the retrieval event or return event with the borrowing session ID to record the operation time and level change information.

8. The paper archive positioning and health self-diagnosis system according to claim 7, characterized in that, The leakage measurement tag contains at least two electronic tags, which are respectively placed at the joint between the shelf and the cabinet column and at the edge of the shelf near the cabinet door, to form a spatial leakage fingerprint.

9. The paper archive positioning and health self-diagnosis system according to claim 7, characterized in that, It also includes a digital twin and alarm terminal, which receives data output from the control module, displays the confidence level of the item's hierarchical location in a visual manner, and displays the leakage health index of each layer in the form of a heat map.

10. A paper archive positioning and health self-diagnosis system according to claim 7, characterized in that, It also includes an environmental monitoring and alarm linkage module, which monitors smoke and temperature rise data in the cabinet and transmits the environmental data to the control module. When an environmental alarm is triggered, the control module pushes the alarm to the on-duty personnel and outputs a list of affected cabinets and key files, while freezing ongoing borrowing sessions to protect the audit evidence chain.

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