Paper document processing method, system and program product

Abstract

The invention discloses a paper file processing method and system and a program product. Relates to the field of artificial intelligence or financial science and technology, and the method comprises the steps: collecting information generated by a target object in a financial institution financial business handling process, and obtaining business information; a target paper file containing service information is generated, the target paper file contains an electronic tag and an anti-counterfeiting mark, and the anti-counterfeiting mark comprises an invisible watermark; transmitting the target paper file to the intelligent file cabinet, and calculating the position of the electronic tag in the target paper file in the intelligent file cabinet to obtain a target position; the timestamp of the target paper file transmitted to the intelligent file cabinet is obtained, a target timestamp is obtained, the target timestamp and the target position are stored, and the target timestamp is used for determining whether the target paper file reaches the deadline for smashing treatment or not. According to the method and the device, the problem of poor paper file management effect of a financial institution in related technologies is solved.

Description

Technical Field

[0001] This application relates to the field of artificial intelligence or financial technology, and specifically, to a method, system and program product for processing paper documents. Background Art

[0002] In the related art, for the entire life cycle of paper documents of financial institutions, static anti-counterfeiting is adopted for paper documents. For example, visible QR codes or fixed watermark patterns are used to identify source documents, which can be easily removed through drawing software, and paper copies can be digitized again through scanners. In addition, paper documents need to be stored manually, and expired documents need to be destroyed, resulting in low security in paper document management.

[0003] Currently, no effective solution has been proposed to the problem of poor paper document management in financial institutions in related technologies. Summary of the Invention

[0004] The main purpose of this application is to provide a paper document processing method, system and program product to solve the problem of poor paper document management of financial institutions in related technologies.

[0005] To achieve the above-mentioned objectives, according to one aspect of the present application, a method for processing paper documents is provided. The method comprises: collecting information generated by a target subject during the process of conducting financial business at a financial institution to obtain business information; generating a target paper document containing the business information, wherein the target paper document contains an electronic tag and an anti-counterfeiting mark, wherein the anti-counterfeiting mark includes an invisible watermark; transmitting the target paper document to a smart file cabinet, and calculating the position of the electronic tag in the target paper document in the smart file cabinet to obtain a target position; obtaining a timestamp of the target paper document being transmitted to the smart file cabinet to obtain a target timestamp, and storing the target timestamp and the target position, wherein the target timestamp is used to determine whether the target paper document has reached a deadline for shredding.

[0006] Furthermore, generating a target paper document containing the business information includes: obtaining identification information of the operating object in the financial institution that handles financial business for the target object to obtain target identification information; performing hash processing on the business information to obtain a target hash value; generating the anti-counterfeiting mark based on the target identification information and the target hash value; printing the business information, and during the printing process, adding the anti-counterfeiting mark to the printed paper in the form of an invisible watermark, and embedding the electronic tag into the printed paper to obtain the target paper document.

[0007] Furthermore, after storing the target timestamp and the target position, the method includes: determining whether the target paper document has reached a preset storage period based on the target timestamp; if the target paper document has reached the preset storage period, extracting the target paper document based on the target position, and shredding the target paper document to obtain shredded material; detecting whether the degree of shredding of the shredded material meets preset conditions based on a target detection strategy, wherein the target detection strategy includes at least one of the following: a multispectral detection strategy, an image recognition strategy; if the shredded material does not meet the preset conditions, shredding the shredded material again until the degree of shredding of the shredded material meets the preset conditions, and recording the shredding process of the target paper document if the degree of shredding of the shredded material meets the preset conditions.

[0008] Furthermore, the position of the electronic tag in the target paper document in the smart file cabinet is calculated to obtain the target position, including: using a loop antenna deployed in the smart file cabinet to read the electronic tag of the target paper document to obtain a reading result; based on a phase differential positioning strategy and the reading result, the position of the electronic tag in the target paper document in the smart file cabinet is calculated to obtain the target position.

[0009] Furthermore, the target paper file is transferred to the smart file cabinet, including: receiving authorization information of the operation object for the smart file cabinet, wherein the authorization information is used to indicate whether the operation object has the operation authority of the smart file cabinet; when the authorization information indicates whether the operation object has the operation authority of the smart file cabinet, opening the smart file cabinet and using a conveyor belt to transfer the target paper file to the smart file cabinet.

[0010] Furthermore, after the target paper file is transferred to the smart file cabinet, it includes: based on preset rules, identifying whether the smart file cabinet has any abnormal operation, wherein the abnormal operation includes: the opening frequency of the smart file cabinet is greater than a preset threshold; when the smart file cabinet has abnormal operation, obtaining an operation video of the smart file cabinet, and using a federated model, performing a risk assessment on the operation video to obtain a risk score value, wherein the federated model includes: a neural network model for risk assessment trained using a differential privacy strategy; when the risk score value is higher than the preset score threshold, locking the smart file cabinet and generating an alarm message.

[0011] Furthermore, after generating the target paper document containing the business information, it also includes: storing the identification information of the electronic tag, the target identification information and the identification information of the target object in the target blockchain; storing the target timestamp and the target location, including: storing the target timestamp and the target location in the target blockchain.

[0012] To achieve the above-mentioned purpose, according to another aspect of the present application, a paper document processing system is provided. The system includes: a business processing module for collecting information generated by a target subject during the process of conducting financial business at a financial institution to obtain business information; a printer for generating a target paper document containing the business information, wherein the target paper document contains an electronic tag and an anti-counterfeiting mark, wherein the anti-counterfeiting mark includes an invisible watermark; a conveyor belt for conveying the target paper document from the printer to an intelligent file cabinet; an intelligent file cabinet connected to the conveyor belt for receiving the target paper document and calculating the position of the electronic tag in the target paper document in the intelligent file cabinet to obtain a target position; and a file storage module for obtaining a timestamp when the target paper document is conveyed to the intelligent file cabinet to obtain a target timestamp, and storing the target timestamp and the target position, wherein the target timestamp is used to determine whether the target paper document has reached a deadline for shredding.

[0013] Furthermore, the processing system also includes: a shredder, which is used to shred the target paper document to obtain shredded material when the target paper document reaches a preset shelf life; based on a target detection strategy, detect whether the degree of shredding of the shredded material meets preset conditions; if the shredded material does not meet the preset conditions, shredder the shredded material for the second time, wherein the target detection strategy includes at least one of the following: a multispectral detection strategy and an image recognition strategy.

[0014] Furthermore, the smart file cabinet also includes: N types of sensors, which are used to collect environmental parameters in the smart file cabinet to obtain N environmental parameters, and the N types of sensors include at least one of the following: a temperature sensor, a humidity sensor, and N is a positive integer; an environmental adjustment module, which is used to adjust the environment in the smart file cabinet when at least one of the environmental parameters exceeds the corresponding preset parameter threshold, wherein adjusting the environment in the smart file cabinet includes at least one of the following: dehumidification, heating, and cooling.

[0015] According to another aspect of the present application, a computer-readable storage medium is provided, which includes a stored executable program, wherein when the executable program is run, the device where the computer-readable storage medium is located is controlled to execute the method for processing paper documents.

[0016] According to another aspect of the present application, an electronic device is provided, comprising: a memory storing an executable program; and a processor for running the program, wherein the method for processing paper documents is executed when the program is running.

[0017] According to another aspect of the present application, a computer program product is provided, comprising computer instructions, which implement the steps of the paper document processing method when executed by a processor.

[0018] In an embodiment of the present application, information generated by a target object during the financial business process at a financial institution is collected to obtain business information; a target paper document containing the business information is generated, wherein the target paper document contains an electronic tag and an anti-counterfeiting mark, wherein the anti-counterfeiting mark includes an invisible watermark; the target paper document is transmitted to an intelligent file cabinet, and the position of the electronic tag in the target paper document in the intelligent file cabinet is calculated to obtain a target position; a timestamp of the target paper document being transmitted to the intelligent file cabinet is obtained to obtain a target timestamp, and the target timestamp and target position are stored, wherein the target timestamp is used to determine whether the target paper document has reached the deadline for shredding, thereby solving the technical problem of poor paper document management effect of financial institutions in the related art. By embedding an electronic tag in a paper document, it is convenient to record the location and timestamp of the paper document stored in the intelligent file cabinet, and adding an invisible watermark to the paper document can prevent the paper document information from being maliciously copied, thereby achieving the effect of improving the security and traceability of the paper document. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of this application. The exemplary embodiments and descriptions of this application are intended to explain this application and do not constitute an improper limitation on this application. In the accompanying drawings:

[0020] Figure 1 A hardware structure block diagram of a computer terminal for implementing a method for processing paper documents is shown;

[0021] Figure 2 is a flowchart of a method for processing paper documents provided in an embodiment of the present application;

[0022] Figure 3 is a flowchart of another method for processing paper documents provided in an embodiment of the present application;

[0023] Figure 4 is a schematic diagram of a paper document processing system provided according to an embodiment of the present application;

[0024] Figure 5 is a schematic diagram of another paper document processing system provided according to an embodiment of the present application;

[0025] Figure 6 is a schematic diagram of a paper document processing device provided according to an embodiment of the present application;

[0026] Figure 7 This is a structural block diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0027] In order to enable those skilled in the art to better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of this application.

[0028] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequential order. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in a sequence other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0029] First, some nouns or terms that appear in the description of the embodiments of the present application are subject to the following interpretations:

[0030] Anti-metal shielding RFID tag: A radio frequency identification tag designed for metal environments, operating in the 860-960MHz frequency band, using electromagnetic field coupling technology to achieve precise positioning within 5cm of the metal surface.

[0031] Dynamic watermark printer: A printing device equipped with an image processing chip that can generate an invisible watermark containing a timestamp and hash value in real time, and trigger a visible warning when copying is detected.

[0032] Spectral analysis shredder: A destruction device with an integrated near-infrared spectral sensor that verifies the shredded size through debris reflection spectral analysis with a detection accuracy of up to 0.1mm.

[0033] Federated Learning Behavioral Model: An operational baseline model built based on decentralized machine learning, where each node retains local data features while sharing model parameters.

[0034] Multi-wavelength spectral analysis: Using a dual-band LED light source of 405nm (ultraviolet) and 850nm (infrared), the destruction compliance is determined by the ratio of the debris reflection spectrum.

[0035] It should be noted that the collected information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for display, data for analysis, etc.) involved in this application are information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with relevant laws, regulations and standards, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation portals for users to choose to authorize or refuse. For example, an interface is set up between this system and relevant users or institutions to provide users with corresponding operation portals for users to choose to agree or refuse the automated decision-making results; if the user chooses to refuse, the expert decision-making process will be entered.

[0036] Example 1

[0037] According to an embodiment of the present application, a method embodiment of a method for processing paper documents is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0038] The method embodiment provided in the first embodiment of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal (or mobile device) for implementing a paper document processing method is shown. Figure 1As shown, the computer terminal 10 (or mobile device) may include one or more (illustrated as 102a, 102b, ..., 102n in the figure) processors 102 (the processor 102 may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may also include: a display, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. It will be understood by those skilled in the art that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components than shown, or with Figure 1 Different configurations shown.

[0039] It should be noted that the one or more processors 102 and / or other data processing circuits described above may generally be referred to herein as "data processing circuitry". The data processing circuitry may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuitry may be a single independent processing module, or may be incorporated in whole or in part into any of the other components of the computer terminal 10 (or mobile device). As described in the embodiments of the present application, the data processing circuitry serves as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).

[0040] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the paper document processing method in the embodiment of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, realizing the above-mentioned paper document processing method. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory 104 may further include a memory remotely located relative to the processor 102, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0041] The transmission device 106 is configured to receive or transmit data via a network. A specific example of the aforementioned network may include a wireless network provided by the communications provider of the computer terminal 10. In one embodiment, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices via a base station to enable communication with the Internet. In another embodiment, the transmission device 106 may be a radio frequency (RF) module, which is configured to communicate with the Internet wirelessly.

[0042] The display may be, for example, a touch screen liquid crystal display (LCD), which enables a user to interact with a user interface of the computer terminal 10 (or mobile device).

[0043] Under the above operating environment, this application provides Figure 2 The method of handling paper documents shown. Figure 2 This is a flowchart of a method for processing paper documents according to the first embodiment of the present application.

[0044] Step S201: collect information generated by the target object in the process of handling financial business in the financial institution to obtain business information.

[0045] The above-mentioned business information may include the target subject's identity information (e.g., biometric information, certificate information, electronic signature), and may also include transaction information (e.g., transaction amount and time, account information, electronic certificate, etc.). For example, after the target subject provides an identity document at a financial institution to initiate financial business, the target subject's biometric data can be collected through fingerprint, iris or facial recognition technology for identity verification. Use OCR (Optical Character Recognition) technology to scan the identity document, automatically extract and enter information such as name, address, certificate number, etc., record the target subject's electronic signature when handling the business as part of the transaction confirmation, and also record the amount and timestamp of each transaction for tracking and analyzing transaction history. Record account information, including account balance, counterparty account information, transaction type (deposit, withdrawal, transfer, etc.), and generate and store electronic certificates for each transaction, including transaction summary, transaction code, etc.

[0046] Step S202: Generate a target paper document containing business information, wherein the target paper document contains an electronic tag and an anti-counterfeiting mark, and the anti-counterfeiting mark includes an invisible watermark.

[0047] The electronic tag can be a metal-resistant RFID (Radio Frequency Identification) tag. In this embodiment, a dynamic watermark printer can be used to embed the metal-resistant RFID tag in the generated paper document, giving the paper document a digital identity. This facilitates real-time monitoring of the document's status and location through devices such as smart filing cabinets, ensuring secure management and efficient tracking of the document.

[0048] The aforementioned invisible watermarks can be automatically generated based on business information, operator ID, timestamp, and file hash value, making forgery and tampering more difficult. For example, when printing paper documents, a dynamic watermark printer can generate a unique invisible watermark based on real-time business data. When the document is copied, the watermark will quickly become visible, indicating illegal copying, thereby providing immediate anti-counterfeiting capabilities. The information in the watermark (such as operation time, location, and personnel) can be used for document traceability and auditing, ensuring that the historical operation records of each document are clear and traceable, thereby enhancing the security and compliance of paper documents.

[0049] Step S203: The target paper document is transferred to the smart file cabinet, and the position of the electronic tag in the target paper document in the smart file cabinet is calculated to obtain the target position.

[0050] In this embodiment, the target paper documents can be transported to a smart filing cabinet via a conveyor belt. The smart filing cabinet can be equipped with an RFID reader capable of wirelessly reading the RFID tags embedded in the target paper documents. Since filing cabinets are typically made of metal, metal can reflect and absorb RFID signals, interfering with signal transmission. Therefore, the RFID reader in the smart filing cabinet utilizes metal-resistant RFID tags and a phase-differential positioning algorithm to ensure accurate reading and positioning of electronic tags, even in metallic environments. Once the RFID reader detects the electronic tag, it uses the phase-differential positioning algorithm to calculate the tag's position relative to the reader antenna. Furthermore, the smart filing cabinet can calculate and update the electronic tag's location information in real time, thereby maintaining the specific location of the target paper document within the filing cabinet. This location information is typically stored in a database or blockchain along with the paper document's business information, access timestamps, and other information, forming a complete file management record.

[0051] Step S204 , obtaining the timestamp of the target paper file being transferred to the smart file cabinet, obtaining the target timestamp, and storing the target timestamp and the target location, wherein the target timestamp is used to determine whether the target paper file has reached the deadline for shredding.

[0052] The target timestamp accurately records the exact time a document is stored in the smart cabinet. When a target paper document is delivered to the smart cabinet via the automated transport system, the smart cabinet's control system generates a timestamp, the "target timestamp." This timestamp reflects the exact time the document was actually stored in the cabinet.

[0053] Target timestamps and target location data can be stored in real time on a database or blockchain to leverage the decentralized and tamper-proof nature of blockchain technology to ensure that every access record is authentic, reliable, and traceable.

[0054] Financial institutions can set a retention period for each type of paper document. For example, some sensitive customer information documents may need to be destroyed after 5 years to protect customer privacy and avoid the risk of data leakage. Once the retention period of the target paper document reaches the preset destruction period (i.e., the current time minus the target timestamp is equal to or greater than the destruction period), the blockchain's smart contract can automatically send a destruction instruction to the spectral shredder, initiating the secure destruction process of the document. Specifically, the target timestamp and target location data stored on the blockchain can be used to provide an unalterable audit record for the destruction of paper documents, ensuring that the entire document lifecycle management process complies with laws, regulations and internal policies, thereby improving the compliance and transparency of financial institutions.

[0055] Through the above steps, in this embodiment, by embedding electronic tags in paper documents, the location and timestamp of the paper document's storage in the smart file cabinet can be recorded. Adding invisible watermarks to paper documents prevents malicious copying of information in the paper documents, thereby improving the security and traceability of paper documents. This solves the technical problem of poor paper document management in financial institutions in related technologies.

[0056] Figure 3 is a flowchart of another method for processing paper documents provided in an embodiment of the present application, such as Figure 3 As shown, it includes: after the customer submits his / her ID card, biometric verification is carried out. After the verification is passed, the application form is printed by a dynamic watermark printer, and an RFID tag (corresponding to the above-mentioned electronic tag) is implanted during the printing process to obtain the target paper document. After that, the teller operation monitoring can be used to identify risks and generate blockchain evidence records. Then, the destruction stage can be entered. If the biometric verification fails, an early warning can be directly issued to ensure the information security of the paper document throughout its life cycle.

[0057] Optionally, in the paper document processing method provided in the embodiment of the present application, a target paper document containing business information is generated, including: obtaining identification information of the operating object in the financial institution that handles financial business for the target object to obtain target identification information; performing hash processing on the business information to obtain a target hash value; generating an anti-counterfeiting mark based on the target identification information and the target hash value; printing the business information, and during the printing process, adding the anti-counterfeiting mark to the printed paper in the form of an invisible watermark, and embedding the electronic label into the printed paper to obtain the target paper document.

[0058] The identification information of the aforementioned operating object may include the ID of the operating object (e.g., operator) handling business for the target object. This information can be used to track which employee or system was involved in the document generation operation. In this embodiment, business information (including customer data, transaction details, etc.) can also be input into the hash function to generate a target hash value. This hash value will serve as part of the metadata of the paper document and is closely tied to the business information. Based on the operator's identification information and the hash value of the business information, the dynamic watermark printer can generate a complex invisible watermark pattern. This watermark not only includes a timestamp, but also encodes the operator ID and the hash value of the file, ensuring the integrity of the file's source and content.

[0059] When printing paper documents, invisible watermarks can be embedded in specific areas of the paper, making them almost imperceptible under normal lighting but visible under specific light sources or angles, thus providing an anti-counterfeiting effect. Electronic labels can also be precisely embedded in a predetermined location on the document (for example, the edge or back of the document). The printing process is completed by an automated labeling device within the printer, ensuring the integration of the label with the paper document and preventing label loss or replacement.

[0060] It should be noted that, in an optional embodiment, a fluorescent fiber paper substrate may be used instead to prevent paper documents from being counterfeited.

[0061] For example, a dynamic watermark printer generates an invisible watermark containing a timestamp (such as "20240508-10:00:00"), operator ID, and file hash value in real time, in compliance with the ISO 14298 security printing standard. If copying is detected, the watermark will display a warning message (such as "illegal copying") within a preset time (for example, 200ms). When the business information of a document is placed in the printer, the built-in labeler automatically embeds an encrypted RFID tag in the upper right corner (with a spacing error of less than 1mm). The tag ID is bound to the file hash value and written to the blockchain to achieve digital tracking of physical documents.

[0062] By integrating business information, operator ID, timestamp, hash value and anti-counterfeiting mark (invisible watermark), plus electronic label, the target paper document is finally generated through a secure printing process. This paper document not only contains the specific content of the financial business, but also has multi-layer anti-counterfeiting and encryption functions, ensuring the security of financial institutions' paper documents and achieving the technical effect of preventing information leakage and tampering.

[0063] Optionally, in the paper document processing method provided in the embodiment of the present application, after the target timestamp and target position are stored, the method includes: determining whether the target paper document has reached a preset storage period based on the target timestamp; if the target paper document has reached the preset storage period, extracting the target paper document based on the target position, and shredding the target paper document to obtain shredded material; detecting whether the degree of shredding of the shredded material meets preset conditions based on a target detection strategy, wherein the target detection strategy includes at least one of the following: a multispectral detection strategy, an image recognition strategy; if the shredded material does not meet the preset conditions, shredding the shredded material again until the degree of shredding of the shredded material meets the preset conditions, and recording the shredding process of the target paper document if the degree of shredding of the shredded material meets the preset conditions.

[0064] The timestamp and location information of the target paper document can be stored in a blockchain or a timestamp server. After storage, the target paper document stored in the smart cabinet can be periodically checked to see if it has reached its preset shelf life based on the target timestamp when it was stored. Once the target paper document has reached its preset shelf life, the smart cabinet's robotic arm or pneumatic transport system can, based on the target document's storage location, transport it to a pre-connected spectral shredder for physical destruction. During the shredding process, the spectral shredder uses multi-wavelength spectral analysis technology to determine the degree of shredding by comparing the reflectivity of the debris at specific wavelengths (such as infrared and ultraviolet). If the spectral reflectivity of the debris matches a preset standard, the expected particle size has been achieved and the information in the document cannot be recovered from it. Furthermore, the spectral shredder can employ image recognition strategies, capturing images of the debris using a built-in high-definition camera. Computer vision technology can then be used to analyze the images to confirm the absence of continuous edges or insufficiently shredded portions. If non-compliant debris is detected, the shredding process is deemed substandard. If the initial shredding process fails to meet the preset destruction criteria, a secondary shredding process can be automatically initiated. The Spectrum shredder's spare blades or a higher shredding power unit will re-shred the insufficiently shredded material until it meets the preset standards. Every shredding operation, including the results of shredding degree testing and whether secondary shredding was performed, is recorded in detail and stored using blockchain technology, creating an immutable audit trail.

[0065] For example, if the timestamp and location information of the target paper document can be stored in the blockchain, the smart contract can scan the document in the blockchain every 24 hours, store the timestamp, compare it with the preset retention period (such as 5 years), and automatically send a destruction instruction to the shredder after the expiration. The entire destruction process (including spectral signature code and operation video hash) is written to the blockchain for inspection by regulatory agencies. For example, a destruction record contains a 128-bit signature code after the Fourier transform of the debris spectrum, which is aligned with the video fingerprint in time and space. Expiration: Start the spectral shredder destruction. Not expired: Automatic renewal approval process.

[0066] For paper documents that have reached the preset shelf life, multi-spectral detection shredding equipment can be used. For example, the smart file cabinet can automatically push the target paper documents to the shredder inlet after receiving the destruction instruction from the blockchain smart contract through the IoT interface (completed by the pneumatic transmission system without manual intervention). Destroy paper documents with anti-metal RFID tags, and the RFID tags and documents are destroyed simultaneously. The blade group design of the spectral shredder can shred paper materials and embedded tags at the same time (particles ≤ 1mm 2 ), ensuring complete destruction of physical information.

[0067] Multispectral detection and AI image recognition can be performed on the crushed residue (corresponding to the crushed material). Multispectral detection: Use 405nm (ultraviolet) and 850nm (infrared) dual-band light sources to illuminate the debris, and use the reflectivity ratio (standard value 0.7-1.3) and particle area distribution (≤1mm 2 AI image recognition: Convolutional neural network (CNN) analyzes the debris image and detects continuous edges or unshredded RFID fragments (area > 0.5mm 2 ), it is judged as unqualified. Pass: Update the blockchain destruction status. Unqualified: Activate the backup knife group for secondary crushing.

[0068] A comprehensive and secure document destruction management system includes monitoring the shelf life of target paper documents, automated extraction, advanced shredding, and rigorous destruction process verification and documentation. Multispectral detection and image recognition technologies ensure the secure destruction of physical documents, while blockchain technology enables transparency and traceability of the destruction process through recording and evidence storage.

[0069] Optionally, in the paper document processing method provided in the embodiment of the present application, the position of the electronic tag in the target paper document in the smart file cabinet is calculated to obtain the target position, including: using a ring antenna deployed in the smart file cabinet to read the electronic tag of the target paper document to obtain a reading result; based on the phase differential positioning strategy and the reading result, the position of the electronic tag in the target paper document in the smart file cabinet is calculated to obtain the target position.

[0070] The phase difference positioning algorithm (corresponding to the phase difference positioning strategy) can calculate the spatial displacement by measuring the phase difference Δφ of the RFID tag return signal. The calculation formula is shown in formula (1).

[0071]

[0072] The meanings of the variables in formula (1) are shown in Table 1.

[0073] Table 1

[0074]

[0075] Formula (1) is obtained by measuring the phase difference (Δφ) of the return signal from the RFID tag and combining it with the metal environment correction (ε r ), to achieve high-precision displacement calculation. In the formula, ε r The signal attenuation and phase distortion caused by the metal cabinet are compensated by the term, so that the positioning error is controlled within ±5cm. Formula (1) is applied to the real-time three-dimensional positioning of paper documents in smart filing cabinets in financial institutions to solve the signal failure problem of traditional RFID in metal environments.

[0076] In this embodiment, a loop antenna array can be deployed in the smart file cabinet and can be located at the top of each layer of the file storage area. The loop antenna has a wide coverage range and uniform radiation pattern, and can accurately capture the signal emitted by the electronic tag in a limited space.

[0077] When a paper document is stored in a certain location within a smart filing cabinet, the electronic tag (e.g., a metal-resistant RFID tag) in the document can wirelessly communicate with an RFID reader inside the cabinet. The reader transmits a radio frequency signal, which the electronic tag receives and then reflects back a response signal containing its ID and other information.

[0078] The RFID reader captures the signal reflected from the electronic tag, including key parameters such as signal strength, frequency, and phase, to generate a reading result. This allows for precise determination of the file's location within the cabinet. Specifically, a phase differential positioning algorithm can be used to determine the relative position of the RFID tag based on phase measurement. For example, the phase difference (Δφ) of the RFID signal reflected from the tag can be measured, combined with the signal propagation speed and phase variation patterns under specific conditions, to calculate the distance between the tag and the reader antenna.

[0079] The phase differential positioning algorithm can not only calculate the straight-line distance between the RFID tag and the reader, but also combine the reading results of multiple sets of antennas and use triangulation or multilateral measurement principles to calculate the three-dimensional coordinates (X, Y, and Z axes) of the tag inside the smart filing cabinet. This achieves the effect of accurately locating the position of a single paper file even if the files in the smart filing cabinet are densely stacked.

[0080] It should be noted that, in another optional implementation, UWB (ultra-wideband technology) may be used to achieve centimeter-level positioning of the target paper document to obtain the position of the electronic tag in the target paper document in the smart file cabinet.

[0081] Optionally, in the paper document processing method provided in the embodiment of the present application, the target paper document is transferred to the smart file cabinet, including: receiving authorization information of the operation object for the smart file cabinet, wherein the authorization information is used to indicate whether the operation object has the operation authority of the smart file cabinet; when the authorization information indicates whether the operation object has the operation authority of the smart file cabinet, opening the smart file cabinet and using a conveyor belt to transfer the target paper document to the smart file cabinet.

[0082] The above-mentioned authorization information may include the identity authentication data of the operating object (for example, the operator), such as biometric features (fingerprint, iris), operator ID, password or one-time token, etc., so as to verify whether the operating object has the authority to operate the smart file cabinet. For example, before attempting to operate the smart file cabinet, the operating object can authenticate its identity through the biometric module of the financial institution's counter system or other secure login methods (such as the one-time password authentication of the mobile banking APP). After verifying the valid authorization information returned, the biometric opening mechanism of the smart file cabinet will be activated. It may involve unlocking the smart lock, and it may also allow physical access to the space inside the cabinet by releasing the mechanical lock core or releasing the electromagnetic lock. After that, the paper documents can be transported to the interior of the smart file cabinet using a conveyor belt.

[0083] For example, after a teller authorizes a paper document, it is scanned by RFID on a conveyor belt and assigned to a storage layer. A robotic arm then places it into the smart file. The tag's position is then calculated (with an error of ±5cm) using a phase difference algorithm and updated to the blockchain in real time. For example, when file A is stored in the third layer, its coordinates (X = 35cm, Y = 20cm, Z = 15cm) are bound to the timestamp and stored as evidence. This eliminates the need for manual paper document placement, improving paper file storage efficiency and reducing errors.

[0084] Optionally, in the paper document processing method provided in the embodiment of the present application, after the target paper document is transferred to the smart file cabinet, it includes: based on preset rules, identifying whether there is any abnormal operation of the smart file cabinet, wherein the abnormal operation includes: the opening frequency of the smart file cabinet is greater than a preset threshold; in the case of abnormal operation of the smart file cabinet, obtaining an operation video of the smart file cabinet, and using a federal model to perform a risk assessment on the operation video to obtain a risk score value, wherein the federal model includes: a neural network model for risk assessment trained using a differential privacy strategy; when the risk score value is higher than the preset score threshold, the smart file cabinet is locked and an alarm message is generated.

[0085] The aforementioned abnormal operations also include, but are not limited to: unauthorized opening attempts, opening during non-working hours, temperature or humidity inside the filing cabinet exceeding safe ranges, abnormal removal of files, etc. For example, sensors and monitoring equipment can be used to record each opening operation. Based on the opening records, the opening frequency within a certain time window (such as a day or a week) can be counted and compared with a preset threshold. If the opening frequency of the smart filing cabinet significantly exceeds the normal operation frequency, it can be determined that abnormal operation has occurred (for example, someone may be attempting to frequently access the filing cabinet without authorization, or there may be internal misconduct).

[0086] When the smart file cabinet detects an operation, it can capture the operation video in front of the smart file cabinet through a high-definition camera and perform a risk assessment on the operation behavior in the operation video. Specifically, the federated model can be used to perform risk assessment on the operation video.

[0087] During the training phase, the aforementioned federated model can be collaboratively built across multiple participants (e.g., different branches of a financial institution). Each participant only uploads gradient parameters processed using differential privacy policies, rather than raw data. This protects individual privacy and sensitive information while simultaneously training a high-performance model leveraging the advantages of federated data. It should be noted that during the training process, each participant can fine-tune data features using Laplace noise (or Gaussian noise) and then upload the processed gradient parameters. This ensures that the model training process does not expose any individual's sensitive information. It also leverages the advantages of data from multiple parties to improve the model's generalization and predictive accuracy.

[0088] During the risk assessment phase, the federated model conducts in-depth analysis of the operation video, identifying details such as the operator's behavioral patterns, facial expressions, and operating techniques to determine whether there are potential risks or abnormal behavior. For example, the federated model can identify abnormal door openings, an operator's nervous expression, or other suspicious behavior, and then assign a corresponding risk score.

[0089] If the federated model's risk assessment of the operation video exceeds a preset threshold, indicating a potential serious security threat, the smart filing cabinet can be automatically locked, blocking any further access attempts to prevent unauthorized removal or tampering of files. Simultaneously, an alert mechanism can be triggered, sending an alert message to security or relevant management personnel, including the risk score, operation video clip, operation time, operator ID, and the location of the smart filing cabinet.

[0090] In an alternative example, the federated model can be deployed within a federated learning engine, which analyzes 28-dimensional feature data (e.g., sudden pressure changes > 5kg / 100ms) in real time to flag high-risk operations. For example, if a teller frequently opens a filing cabinet (exceeding the specified frequency), the model aggregates data from various nodes within the SGX enclave, updates the risk control policy within 15 minutes, and triggers an alarm. Normal operation: Generates blockchain operation logs. Abnormal operation: Triggers federated learning model scoring. Real-time federated model scoring: Joint risk control calculations are performed without leaking private data. Score > 0.8: The filing cabinet can be immediately locked and an audible and visual alarm can be sounded. Score ≤ 0.8: A normal operation log is generated.

[0091] In this embodiment, when a high-risk operation is detected, an immediate locking and alarm mechanism can respond quickly, thereby reducing the risk of information leakage or theft and ensuring the security of paper document management of financial institutions.

[0092] Optionally, in the paper document processing method provided in the embodiment of the present application, after generating the target paper document containing business information, it also includes: storing the identification information of the electronic tag, the target identification information and the identification information of the target object in the target blockchain; storing the target timestamp and target location, including: storing the target timestamp and target location in the target blockchain.

[0093] In this embodiment, the information generated in the entire process of paper documents, including the identification information of electronic tags, the identification information of the operation object (for example, the operator's fingerprint and iris features, the operator's ID), the customer ID card hash, the paper document access timestamp (corresponding to the target timestamp), and the key data of the shredded paper spectrum characteristic code can be written into the alliance chain (corresponding to the target blockchain) to ensure that it cannot be tampered with, thereby achieving the technical effect of improving the security and traceability of paper documents.

[0094] In this embodiment, phase differential technology achieves ±5cm positioning accuracy. A dynamic watermark blocking mechanism reduces the copy trigger visibility response time to less than 200ms, achieving a 99.2% effective blocking rate. Federated learning privacy protection ensures that operational behavior modeling data is available but invisible, improving model training efficiency by 40%. This improves the management efficiency of paper documents for financial institutions and the information security throughout their lifecycle.

[0095] It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and that, although a logical order is shown in the flowcharts, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0096] Example 2

[0097] The second embodiment of the present application provides an optional paper document processing system, which can be used to execute the paper document processing method provided in the first embodiment.

[0098] Figure 4 is a schematic diagram of a paper document processing system provided according to an embodiment of the present application, such as Figure 4 As shown, it includes: a business processing module, a printer, an intelligent file cabinet and a file storage module.

[0099] Among them, the business processing module is used to collect information generated by the target object in the process of handling financial business in a financial institution to obtain business information; the printer is used to generate a target paper document containing business information, wherein the target paper document contains an electronic label and an anti-counterfeiting mark, and the anti-counterfeiting mark includes: an invisible watermark; a conveyor belt is used to convey the target paper document from the printer to the smart file cabinet; the smart file cabinet is connected to the conveyor belt, is used to receive the target paper document, and calculates the position of the electronic label in the target paper document in the smart file cabinet to obtain the target position; the file storage module is used to obtain the timestamp when the target paper document is conveyed to the smart file cabinet, obtain the target timestamp, and store the target timestamp and target position, wherein the target timestamp is used to determine whether the target paper document has reached the deadline for shredding.

[0100] The above-mentioned business processing module may include an interactive terminal for the target object to handle financial business in a financial institution, for example, Figure 5 is a schematic diagram of another paper document processing system provided according to an embodiment of the present application, such as Figure 5 As shown, it includes: (1) Counter system: integrated with liveness detection and OCR recognition, with a single transaction processing time of ≤90 seconds; (2) ATM terminal: supports iris recognition transaction authorization; (3) Mobile banking: provides blockchain evidence verification function, and realizes zero-knowledge proof through the national secret SM9 algorithm.

[0101] The aforementioned printer can be a dynamic watermark printer with a built-in labeler. It can use laser engraving technology to generate invisible watermarks containing timestamps and MAC addresses, meeting specified security printing standards. The intelligent filing cabinet can be connected to a conveyor belt to receive target paper documents and calculate the position of the electronic tag on the target paper document within the intelligent filing cabinet to obtain the target location. The aforementioned file storage module can be used to obtain the timestamp of the target paper document's transfer to the intelligent filing cabinet, obtain the target timestamp, and store the target timestamp and target location.

[0102] In this embodiment, by embedding electronic tags in paper documents, the location and timestamp of the paper document's storage in the smart filing cabinet can be recorded. Adding invisible watermarks to paper documents prevents malicious copying of information, thereby improving the security and traceability of paper documents. This solves the technical problem of poor paper document management in financial institutions in related technologies.

[0103] Optionally, the processing system also includes: a shredder, which is used to shred the target paper document to obtain shredded material when the target paper document reaches a preset shelf life; based on a target detection strategy, it is used to detect whether the degree of shredding of the shredded material meets preset conditions; if the shredded material does not meet the preset conditions, the shredded material is subjected to secondary shredding, wherein the target detection strategy includes at least one of the following: a multispectral detection strategy and an image recognition strategy.

[0104] The processing system can also include a shredder, which can be a spectral shredder, can be equipped with 850nm infrared + visible light dual channel detection, and the crushing particle size reaches DIN 66399P7 level (particles ≤1mm 2 ) (corresponding to the preset conditions) and deploying industrial-grade cameras (resolution ≥ 5MP), combined with a ring light source to eliminate shadows, capture debris images in real time, and transmit them to the AI ​​processing unit to identify whether the debris meets the preset conditions. The dynamic watermark printer and the smart file cabinet can be directly connected via industrial Ethernet. The printed documents are automatically sent to the designated layer of the smart file cabinet via the conveyor belt (placed by a robotic arm based on RFID coordinates). The spectral shredder and the smart file cabinet can share the same local area network. After the destruction command is issued, the pneumatic push rod in the file cabinet pushes the target document to the shredder's paper inlet (no human intervention is required throughout the process).

[0105] Optionally, the smart file cabinet also includes: N types of sensors, the N sensors are used to collect environmental parameters in the smart file cabinet to obtain N environmental parameters, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, and N is a positive integer; an environmental adjustment module, used to adjust the environment in the smart file cabinet when at least one environmental parameter exceeds the corresponding preset parameter threshold, wherein adjusting the environment in the smart file cabinet includes at least one of the following: dehumidification, heating, and cooling.

[0106] The above-mentioned smart filing cabinet can be deployed with RFID scanners and N types of sensors (for example, temperature and humidity sensors). Each smart filing cabinet can contain a multi-layer (for example, 4-layer) drawer-type structure. Each layer can vertically stack multiple paper documents (for example, 20 paper documents). Each paper document can be embedded with an anti-metal RFID tag (corresponding to an electronic tag) (the spacing is ≥10cm to avoid signal collision). A circular antenna array (30cm in diameter) can be deployed on the top of each layer, and the three-dimensional coordinates of the file can be calculated in real time (X / Y / Z axis error ±5cm) through a phase differential positioning algorithm. Among them, the temperature and humidity sensor monitors the humidity (range 30%-60% RH) and temperature (15-25℃) in the smart filing cabinet in real time. When the threshold is exceeded, the dehumidification / heating module (corresponding to the environmental adjustment module) can be triggered to prevent the paper documents from getting damp or static electricity from interfering with the RFID signal.

[0107] The smart filing cabinet can also support biometric opening (error recognition rate <0.001%), upload operation logs every 100ms, and realize the three-dimensional positioning dynamic watermark generation process through the phase difference algorithm. Combined with the dynamic watermark printer, it automatically associates the positioning data with the watermark information when the file is taken out (such as "20240506-18:30:00 File A is taken out from the third layer") to achieve operation traceability.

[0108] like Figure 5 As shown, the paper document processing system may further include: a digital monitoring layer, specifically as follows:

[0109] (1) Federated learning engine: It realizes cross-institutional model training and uses local differential privacy (LDP) to add Laplace noise (μ = 0, b = 0.1) to the feature data. Each node uploads the gradient parameters to the coordination server and updates the global model through weighted averaging (weight = node data volume ratio). After each round of training, the parameter integrity is verified through blockchain evidence.

[0110] (2) Blockchain node cluster: Based on a distributed ledger platform, it deploys a distributed system consensus algorithm with a transaction confirmation time of less than 2 seconds. It is used to record file operations (such as access / shredding) in real time. Each block can contain 10 transactions and is verified by 4 consensus nodes. Abnormal transactions (for example, the same paper document appears in different locations at the same time) trigger the smart contract to freeze the relevant devices.

[0111] (3) Video Fingerprint Library: This library stores the hash feature values ​​of the operation video, using H.265 encoding and the SM3 hash algorithm, with a storage density of 4TB / U. The operation video is compressed with H.265 and key frames (1 frame / second) are extracted. A 256-bit hash value is generated using the SM3 algorithm and stored in conjunction with the file's RFID location data. In the event of a dispute, the video hash can be quickly compared with the blockchain evidence to ensure consistency.

[0112] The data flow of a paper document processing system may include:

[0113] 1. Real-time monitoring flow: Smart filing cabinet → Federated Learning Engine: 28-dimensional feature data, including operating pressure, opening frequency, temperature and humidity data, 3D positioning coordinates, and RFID signal strength, is transmitted via transport layer network protocols to ensure transmission over weak networks. For example, data generated by the smart filing cabinet's lamination sensor (range 0-50kg) monitors abnormal pressure changes and is transmitted to the Federated Learning Engine for training an abnormal behavior detection model (corresponding to the federated model). (A sudden pressure change >5kg / 100ms is marked as high risk.)

[0114] 2. Anti-counterfeiting Evidence Flow: Printer → Blockchain: The watermark hash value uses a Schnorr signature (a digital signature), and each print job generates a Merkle Proof (a binary tree structure) anchored to the video fingerprint. The Schnorr signature ensures the uniqueness of the watermark hash value, and the Merkle Proof links the print event to the operator's biometrics, file location, and other information, forming an unalterable chain of evidence.

[0115] 3. Collaborative risk control flow: Model parameter updates are decrypted within a hardware-secured trusted execution environment (TEE). By creating a hardware-encrypted target environment (an independent execution space for program code and data), the federated learning engine's model parameter update process is isolated within a protected memory area. Within this environment, even system administrators or malicious software cannot access the decrypted parameter data, ensuring that private data is "available but invisible." When federated learning nodes (such as different branches of a financial institution) upload encrypted gradient parameters, the parameters are decrypted and aggregated within the hardware-encrypted environment, preventing exposure of plaintext data. If the frequency of opening a smart filing cabinet increases suddenly (exceeding the "operation frequency" threshold in the 28-dimensional features), the federated learning model aggregates data from all nodes, updates the risk scoring model (corresponding to the federated model), and pushes the new policy to the entire network within 15 minutes, triggering real-time interception. With a model iteration cycle of ≤15 minutes, it can quickly respond to new attacks (such as those using unconventional means to crack RFID tags) and dynamically adjust risk control strategies.

[0116] 4. Destruction Audit Flow: Shredder → Blockchain: Shredding spectral data undergoes Fourier transformation to generate a 128-bit signature, which is then spatiotemporally aligned with the operation video. The shredding spectral data includes the 850nm / 405nm reflectance ratio (standard value 0.7-1.3) and particle area distribution (must meet DIN 66399P7). Alignment verification verifies that the shredding time matches the operation log.

[0117] In this embodiment, phase differential technology achieves ±5cm positioning accuracy. A dynamic watermark blocking mechanism reduces the copy trigger visibility response time to less than 200ms, achieving a 99.2% effective blocking rate. Federated learning privacy protection ensures that operational behavior modeling data is available but invisible, improving model training efficiency by 40%. This improves the management efficiency of paper documents for financial institutions and the information security throughout their lifecycle.

[0118] Example 3

[0119] The present application also provides a paper document processing device. It should be noted that the paper document processing device of the present application can be used to execute the paper document processing method provided in the present application. The paper document processing device provided in the present application is introduced below.

[0120] According to an embodiment of the present application, a device for implementing the above-mentioned paper document processing method is also provided, such as Figure 6 As shown, the device includes: a collection unit 61, a generation unit 62, a processing unit 63 and a storage unit 64.

[0121] The collection unit 61 is used to collect information generated by the target object during the financial business processing of the financial institution to obtain business information;

[0122] The generating unit 62 is configured to generate a target paper document containing business information, wherein the target paper document contains an electronic tag and an anti-counterfeiting mark, and the anti-counterfeiting mark includes an invisible watermark;

[0123] The processing unit 63 is used to transmit the target paper document to the smart file cabinet and calculate the position of the electronic tag in the target paper document in the smart file cabinet to obtain the target position;

[0124] The storage unit 64 is used to obtain the timestamp of the target paper file being transferred to the intelligent file cabinet, obtain the target timestamp, and store the target timestamp and the target location, wherein the target timestamp is used to determine whether the target paper file has reached the deadline for shredding.

[0125] In the paper document processing device provided in the embodiment of the present application, the information generated by the target object during the financial business processing at the financial institution can be collected by the collection unit 61 to obtain the business information, and the target paper document containing the business information can be generated by the generation unit 62, wherein the target paper document contains an electronic tag and an anti-counterfeiting mark, and the anti-counterfeiting mark includes: an invisible watermark. The target paper document is transmitted to the smart file cabinet by the processing unit 63, and the position of the electronic tag in the target paper document in the smart file cabinet is calculated to obtain the target position. The timestamp of the target paper document being transmitted to the smart file cabinet is obtained by the storage unit 64 to obtain the target timestamp, and the target timestamp and target position are stored. The target timestamp is used to determine whether the target paper document has reached the deadline for shredding. In this embodiment, by embedding the electronic tag in the paper document, it is convenient to record the location and timestamp of the paper document stored in the smart file cabinet. Adding the invisible watermark to the paper document can prevent the paper document information from being maliciously copied, thereby improving the security and traceability of the paper document. This solves the technical problem of poor paper document management in financial institutions in the related art.

[0126] Optionally, in the paper document processing device provided in the embodiment of the present application, the generation unit includes: an acquisition subunit, used to obtain the identification information of the operating object in the financial institution that handles financial business for the target object, and obtain target identification information; a hash processing subunit, used to perform hash processing on the business information, target hash value; a generation subunit, used to generate an anti-counterfeiting mark based on the target identification information and the target hash value; a printing subunit, used to print the business information, and during the printing process, add the anti-counterfeiting mark to the printed paper in the form of an invisible watermark, and embed the electronic label into the printed paper to obtain the target paper document.

[0127] Optionally, in the paper document processing device provided in the embodiment of the present application, the paper document processing device further includes: a determination unit for determining whether the target paper document has reached a preset storage period based on the target timestamp after storing the target timestamp and the target position; an extraction unit for extracting the target paper document based on the target position when the target paper document has reached the preset storage period, and shredding the target paper document to obtain shredded material; a detection unit for detecting whether the degree of shredding of the shredded material meets preset conditions based on a target detection strategy, wherein the target detection strategy includes at least one of the following: a multispectral detection strategy, an image recognition strategy; a shredding unit for shredding the shredded material again when the shredded material does not meet the preset conditions until the degree of shredding of the shredded material meets the preset conditions, and recording the shredding process of the target paper document when the degree of shredding of the shredded material meets the preset conditions.

[0128] Optionally, in the paper document processing device provided in the embodiment of the present application, the processing unit includes: a reading subunit, used to use the ring antenna deployed in the smart file cabinet to read the electronic tag of the target paper document and obtain a reading result; a calculation subunit, used to calculate the position of the electronic tag in the target paper document in the smart file cabinet based on the phase differential positioning strategy and the reading result, and obtain the target position.

[0129] Optionally, in the paper document processing device provided in the embodiment of the present application, the processing unit includes: a receiving subunit, used to receive authorization information of the operating object for the smart file cabinet, wherein the authorization information is used to indicate whether the operating object has the operating authority of the smart file cabinet; a transmitting subunit, used to open the smart file cabinet and use a conveyor belt to transmit the target paper document to the smart file cabinet when the authorization information indicates whether the operating object has the operating authority of the smart file cabinet.

[0130] Optionally, in the paper document processing device provided in the embodiment of the present application, the paper document processing device further includes: an identification unit for identifying whether there is any abnormal operation of the smart file cabinet based on preset rules after the target paper document is transferred to the smart file cabinet, wherein the abnormal operation includes: the opening frequency of the smart file cabinet is greater than a preset threshold; a risk assessment unit for obtaining an operation video of the smart file cabinet when there is abnormal operation of the smart file cabinet, and using a federated model to perform a risk assessment on the operation video to obtain a risk score value, wherein the federated model includes: a neural network model for risk assessment trained using a differential privacy strategy; a locking unit for locking the smart file cabinet and generating an alarm message when the risk score value is higher than the preset score threshold.

[0131] Optionally, in the paper document processing device provided in the embodiment of the present application, the paper document processing device also includes: a first information storage unit, which is used to, after generating a target paper document containing business information, also include: storing the identification information of the electronic tag, the target identification information, and the identification information of the target object to the target blockchain; a second information storage unit, which is used to store the target timestamp and target location, including: storing the target timestamp and target location to the target blockchain.

[0132] It should be noted that the above-mentioned acquisition unit 61, generation unit 62, processing unit 63, and storage unit 64 correspond to steps S201 to S204 in the first embodiment. The examples and application scenarios implemented by each unit and the corresponding steps are the same, but are not limited to the contents disclosed in the first embodiment. It should be noted that the above-mentioned modules or units can be hardware components or software components stored in a memory (e.g., memory 104) and processed by one or more processors (e.g., processors 102a, 102b, ..., 102n). The above-mentioned modules can also be part of the device and can be run in the computer terminal 10 provided in the first embodiment.

[0133] Example 4

[0134] An embodiment of the present application may provide an electronic device, Figure 7 This is a structural block diagram of an electronic device according to an embodiment of the present application. Figure 7 As shown, the electronic device may include: one or more ( Figure 7 Only one is shown) processor 702, memory 704, storage controller, and peripheral interface, wherein the peripheral interface is connected to the radio frequency module, audio module and display.

[0135] Among them, the memory can be used to store software programs and modules, such as program instructions / modules corresponding to the methods and devices in the embodiments of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implementing the above-mentioned method. The memory may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some instances, the memory may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the terminal via a network. Examples of the above-mentioned network include but are not limited to the Internet, an intranet, a local area network, a mobile communication network and a combination thereof.

[0136] The processor can call the information and application stored in the memory through the transmission device to perform the following steps: collect information generated by the target object in the process of handling financial business at the financial institution to obtain business information; generate a target paper document containing the business information, wherein the target paper document contains an electronic tag and an anti-counterfeiting mark, and the anti-counterfeiting mark includes: an invisible watermark; transmit the target paper document to the smart file cabinet, and calculate the position of the electronic tag in the target paper document in the smart file cabinet to obtain the target position; obtain the timestamp when the target paper document is transmitted to the smart file cabinet to obtain the target timestamp, and store the target timestamp and target position, wherein the target timestamp is used to determine whether the target paper document has reached the deadline for shredding.

[0137] The processor can also call the information and application stored in the memory through the transmission device to perform the following steps: generate a target paper document containing business information, including: obtaining the identification information of the operating object in the financial institution that handles financial business for the target object to obtain the target identification information; hashing the business information to obtain the target hash value; generating an anti-counterfeiting mark based on the target identification information and the target hash value; printing the business information, and during the printing process, adding the anti-counterfeiting mark to the printed paper in the form of an invisible watermark, and embedding the electronic label into the printed paper to obtain the target paper document.

[0138] The processor can also call the information and application stored in the memory through the transmission device to perform the following steps: after storing the target timestamp and target position, including: based on the target timestamp, determining whether the target paper document has reached the preset storage period; when the target paper document has reached the preset storage period, based on the target position, extracting the target paper document, and shredding the target paper document to obtain shredded material; based on the target detection strategy, detecting whether the degree of shredding of the shredded material meets the preset conditions, wherein the target detection strategy includes at least one of the following: multispectral detection strategy, image recognition strategy; when the shredded material does not meet the preset conditions, shredding the shredded material again until the degree of shredding of the shredded material meets the preset conditions, and when the degree of shredding of the shredded material meets the preset conditions, recording the shredding process of the target paper document.

[0139] The processor can also call the information and application stored in the memory through the transmission device to perform the following steps: calculating the position of the electronic tag in the target paper document in the smart file cabinet to obtain the target position, including: using the loop antenna deployed in the smart file cabinet to read the electronic tag of the target paper document to obtain the reading result; based on the phase differential positioning strategy and the reading result, calculating the position of the electronic tag in the target paper document in the smart file cabinet to obtain the target position.

[0140] The processor can also call the information and application stored in the memory through the transmission device to perform the following steps: transmitting the target paper file to the smart file cabinet, including: receiving the authorization information of the operation object for the smart file cabinet, wherein the authorization information is used to indicate whether the operation object has the operation authority of the smart file cabinet; when the authorization information indicates whether the operation object has the operation authority of the smart file cabinet, open the smart file cabinet and use the conveyor belt to transmit the target paper file to the smart file cabinet.

[0141] The processor can also call the information and application stored in the memory through the transmission device to perform the following steps: after the target paper file is transmitted to the smart file cabinet, including: based on preset rules, identifying whether there is any abnormal operation of the smart file cabinet, wherein the abnormal operation includes: the opening frequency of the smart file cabinet is greater than the preset threshold; when there is abnormal operation of the smart file cabinet, obtaining the operation video of the smart file cabinet, and using the federal model to perform risk assessment on the operation video to obtain a risk score value, wherein the federal model includes: a neural network model for risk assessment trained using a differential privacy strategy; when the risk score value is higher than the preset score threshold, the smart file cabinet is locked and an alarm message is generated.

[0142] The processor can also call the information and application stored in the memory through the transmission device to perform the following steps: after generating the target paper document containing business information, it also includes: storing the identification information of the electronic tag, the target identification information and the identification information of the target object to the target blockchain; storing the target timestamp and target location, including: storing the target timestamp and target location to the target blockchain.

[0143] By embedding electronic tags in paper documents, the embodiment of the present application facilitates recording the location and timestamp of paper documents stored in smart file cabinets. Adding invisible watermarks to paper documents prevents malicious copying of information in the paper documents, thereby improving the security and traceability of paper documents. This solves the technical problem of poor paper document management in financial institutions in related technologies.

[0144] It can be understood by those skilled in the art that Figure 7 The structure shown is for illustration only, and the electronic device may also be a terminal device such as a smart phone, a tablet computer, a PDA, a mobile Internet device (MID), or a PAD. Figure 7 It does not limit the structure of the above electronic device. For example, the electronic device may also include Figure 7 More or fewer components (such as network interfaces, display devices, etc.) shown in, or with Figure 7 Different configurations shown.

[0145] A person skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the hardware related to the terminal device through a program, and the program can be stored in a computer-readable storage medium, which may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0146] Example 5

[0147] The embodiment of the present application further provides a storage medium. Optionally, in this embodiment, the storage medium can be used to store the program code executed by the paper document processing method provided in the first embodiment.

[0148] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0149] The present application also provides a computer program product, which, when executed on a data processing device, is suitable for executing the steps of the method for processing paper documents.

[0150] The serial numbers of the above embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.

[0151] In the above embodiments of the present application, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.

[0152] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0153] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0154] In addition, the functional units in the various embodiments of the present application may be integrated into a single processing unit, or each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0155] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for enabling a computer device (which can be a personal computer, a server or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0156] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for processing paper documents, characterized in that: include: Collect information generated by the target object during the financial business processing at the financial institution to obtain business information; Generating a target paper document containing the business information, wherein the target paper document contains an electronic label and an anti-counterfeiting mark, and the anti-counterfeiting mark includes: an invisible watermark; The target paper document is transferred to a smart file cabinet, and the position of the electronic tag in the target paper document in the smart file cabinet is calculated to obtain the target position; The timestamp of when the target paper file is transferred to the smart file cabinet is obtained to obtain a target timestamp, and the target timestamp and the target location are stored, wherein the target timestamp is used to determine whether the target paper file has reached the deadline for shredding.

2. The processing method according to claim 1, characterized in that Generate target paper documents containing the business information, including: Obtaining identification information of an operating object in the financial institution that handles financial business for the target object, thereby obtaining target identification information; Perform hashing on the business information to obtain a target hash value; generating the anti-counterfeiting mark based on the target identification information and the target hash value; The business information is printed, and during the printing process, the anti-counterfeiting mark is added to the printed paper in the form of an invisible watermark, and the electronic tag is embedded in the printed paper to obtain the target paper document.

3. The processing method according to claim 1, characterized in that After storing the target timestamp and the target position, the method further comprises: Based on the target timestamp, determining whether the target paper document has reached a preset retention period; When the target paper document reaches the preset storage period, extracting the target paper document based on the target location and shredding the target paper document to obtain shredded material; Based on a target detection strategy, detecting whether the degree of pulverization of the pulverized material meets a preset condition, wherein the target detection strategy includes at least one of the following: a multispectral detection strategy, an image recognition strategy; If the pulverized material does not meet the preset conditions, the pulverized material is pulverized again until the degree of pulverization of the pulverized material meets the preset conditions, and if the degree of pulverization of the pulverized material meets the preset conditions, the pulverization process of the target paper document is recorded.

4. The processing method according to claim 1, characterized in that Calculating the position of the electronic tag in the target paper file in the smart file cabinet to obtain the target position includes: Using a loop antenna deployed in the smart file cabinet, the electronic tag of the target paper file is read to obtain a reading result; Based on the phase difference positioning strategy and the reading result, the position of the electronic tag in the target paper file in the smart file cabinet is calculated to obtain the target position.

5. The processing method according to claim 2, characterized in that: The target paper file is transferred to the smart file cabinet, comprising: Receiving authorization information of the operation object for the smart file cabinet, wherein the authorization information is used to indicate whether the operation object has the operation authority of the smart file cabinet; In a case where the authorization information indicates whether the operation object has the operation authority of the smart file cabinet, the smart file cabinet is opened, and the target paper file is conveyed to the smart file cabinet by using a conveyor belt.

6. The processing method according to claim 2, characterized in that After the target paper file is transferred to the smart file cabinet, the method includes: Based on preset rules, identifying whether the smart file cabinet has any abnormal operation, wherein the abnormal operation includes: the opening frequency of the smart file cabinet is greater than a preset threshold; In the event of abnormal operation of the smart file cabinet, obtaining an operation video of the smart file cabinet, and performing a risk assessment on the operation video using a federated model to obtain a risk score value, wherein the federated model includes: a neural network model for risk assessment trained using a differential privacy strategy; When the risk score is higher than a preset score threshold, the smart file cabinet is locked and an alarm message is generated.

7. The processing method according to claim 2, characterized in that After generating the target paper document containing the business information, the method further includes: storing the identification information of the electronic tag, the target identification information, and the identification information of the target object in a target blockchain; Storing the target timestamp and the target location includes storing the target timestamp and the target location in the target blockchain.

8. A paper document processing system, characterized in that: include: The business processing module is used to collect information generated by the target object in the process of handling financial business at the financial institution and obtain business information; A printer, configured to generate a target paper document containing the business information, wherein the target paper document contains an electronic label and an anti-counterfeiting mark, and the anti-counterfeiting mark includes an invisible watermark; a conveyor belt, used for conveying the target paper document from the printer to the smart file cabinet; An intelligent filing cabinet, connected to the conveyor belt, for receiving the target paper document and calculating the position of the electronic tag in the target paper document in the intelligent filing cabinet to obtain the target position; The file storage module is used to obtain the timestamp of the target paper file being transferred to the smart file cabinet, obtain a target timestamp, and store the target timestamp and the target location, wherein the target timestamp is used to determine whether the target paper file has reached the deadline for shredding.

9. The processing system according to claim 8, characterized in that The processing system further comprises: A shredder is configured to shred target paper documents to obtain shredded materials when the target paper documents reach a preset shelf life; detect whether the degree of shredding of the shredded materials meets preset conditions based on a target detection strategy; and perform secondary shredding on the shredded materials when the shredded materials do not meet the preset conditions, wherein the target detection strategy includes at least one of the following: a multispectral detection strategy and an image recognition strategy.

10. The processing system according to claim 8, wherein The intelligent file cabinet also includes: N types of sensors, the N types of sensors are used to collect environmental parameters in the smart file cabinet, and obtain N environmental parameters, the N sensors include at least one of the following: a temperature sensor, a humidity sensor, and N is a positive integer; An environmental adjustment module is used to adjust the environment in the smart file cabinet when at least one of the environmental parameters exceeds the corresponding preset parameter threshold, wherein adjusting the environment in the smart file cabinet includes at least one of the following: dehumidification, heating, and cooling.

11. A computer program product comprising computer instructions, characterized in that When the computer instructions are executed by a processor, the steps of the paper document processing method according to any one of claims 1 to 7 are implemented.

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