A full-process digital archive system based on face recognition

Abstract

The present application relates to the field of power plant management, and discloses a full-process digital archive system based on face recognition, which is used for providing personnel identity verification and business compliance management method. The system comprises the following steps: constructing a digital geometric model based on collected face image data, generating a topological structure diagram, and generating a business-related digital archive by associating target personnel compliance business information. In view of the complex scene of the power plant, when constructing the face feature point cloud, the continuity of curvature is used for geometric reconstruction and interpolation in the area blocked by protective equipment. In real-time application, the output fusion decision signal triggers the access or authorization action. The present application effectively improves the accuracy of personnel identity recognition and the efficiency of business compliance management in the power plant, and ensures the safe and stable operation of the power plant.

Description

Technical Field

[0001] This invention relates to the field of power plant management, and in particular to a full-process digital archive system based on facial recognition. Background Technology

[0002] In the operation and management of power plants, personnel identity verification and business compliance management are key aspects to ensure the safe, stable, and efficient operation of the power plant. With the continuous expansion of power plant scale and the increasing level of automation and intelligence, more stringent requirements are being placed on the accurate identification of personnel and the strict compliance review of business operations.

[0003] Traditional personnel authentication methods, such as passwords and access cards, have many drawbacks. Passwords are easily forgotten or leaked, and access cards can be lost or stolen. These methods are ineffective in preventing unauthorized personnel from entering critical areas of the power plant, posing a potential threat to plant security. Meanwhile, at the operational level, traditional compliance reviews rely primarily on manual inspection of paper documents or simple electronic records. This is not only inefficient but also prone to human error and negligence, failing to promptly detect and address violations, thereby disrupting the power plant's normal production order and equipment safety.

[0004] In recent years, facial recognition technology has gradually emerged and been applied in various fields, providing a new approach to personnel identity verification. However, existing facial recognition-based technologies still have significant shortcomings in power plant applications.

[0005] Relying solely on the two-dimensional features of facial images for recognition is easily affected by factors such as lighting, facial expressions, posture, and occlusion, resulting in low recognition accuracy. This is especially true in the complex working environment of power plants, where personnel may wear protective equipment such as safety helmets and goggles, further increasing the difficulty of recognition.

[0006] Most existing technologies only focus on identity verification itself and lack deep integration with business compliance management. They cannot assess personnel's operational qualifications and access permissions in real time while verifying identity, making it difficult to meet the power plant's needs for comprehensive personnel management.

[0007] Therefore, we propose a full-process digital archiving system based on facial recognition to solve the above problems. Summary of the Invention

[0008] This invention provides a full-process digital archive system based on facial recognition, which is used to provide methods for personnel identity verification and business compliance management.

[0009] The first aspect of this invention provides a full-process digital archiving system based on facial recognition. The system includes: a data acquisition module for constructing a digital geometric model representing the geometric characteristics of facial surfaces based on acquired facial image data; a topology module for generating a topology diagram representing key facial topological structures based on the digital geometric model; an identification module for geometrically fusing the digital geometric model and the topology diagram to form a personal identification feature identifier; an archiving module for associating the personal identification feature identifier with the compliance business information of the target personnel to generate a business-related digital archive; and a judgment module for generating a corresponding real-time identification feature identifier from real-time acquired facial images, comparing it with the personal identification feature identifier in the business-related digital archive, and outputting a fusion decision signal based on the comparison result and the business information in the archive. The fusion decision signal includes identity verification and business compliance judgment.

[0010] Optionally, in a second implementation of the first aspect of the present invention, the method includes: extracting points representing key geometric features of the face from the core data representation of the digital geometric model to form a facial feature point cloud; performing continuous homology analysis on the facial feature point cloud under multiple preset scale parameters to generate a topological barcode image; extracting stable topological features from the topological barcode image, quantizing them into topological invariants, and using them to construct a topological feature vector as a machine-readable representation of the topological structure graph.

[0011] Optionally, in the third implementation of the first aspect of the present invention, based on the core data representation of the digital geometric model, the extreme points of the Gaussian curvature and average curvature of the face surface are extracted to generate an initial face feature point cloud; for the occlusion of protective equipment in the business scenario, the points in the occluded area of ​​the initial face feature point cloud are geometrically reconstructed and interpolated using the curvature continuity of the surrounding unoccluded area to generate an adaptive face feature point cloud; based on the adaptive face feature point cloud, simple complexes at each scale are constructed according to a preset multi-scale radius sequence; by calculating the homology group of the simple complexes at each scale, the generation and disappearance process of topological features in the adaptive face feature point cloud is tracked to generate a multi-scale topological evolution barcode map; the persistence length of each topological feature in the multi-scale topological evolution barcode map is statistically analyzed to select stable topological features with persistence exceeding a preset threshold; the selected stable topological features are encoded according to their birth scale, disappearance scale, and topological dimension to form a topological feature vector as a machine-readable representation of the topological structure map.

[0012] Optionally, in the fourth implementation of the first aspect of the present invention, the method includes: mapping the core data representation of the digital geometric model and the machine-readable representation of the topological structure graph to two statistical distributions under the framework of information geometry theory; calculating the geodesic connecting the two statistical distributions based on the concept of statistical manifold in information geometry, and determining the optimal fusion point distribution on this geodesic; encoding and compressing the optimal fusion point distribution to generate a personal identity feature identifier.

[0013] Optionally, in the fifth implementation of the first aspect of the present invention, the core data representation of the digital geometric model is fitted to generate a first Gaussian distribution parameter set based on the statistical characteristics of its numerical distribution; the machine-readable representation of the topological structure graph is fitted to generate a second discrete probability distribution parameter set based on the discrete statistical characteristics of its topological features; the first Gaussian distribution parameter set and the second discrete probability distribution parameter set are used as two starting points on the information geometric manifold; the geodesic connecting the two starting points is calculated, and an intermediate point is found along the geodesic that maximizes the joint information entropy of the two distributions; the fused joint probability distribution is reconstructed using the parameters corresponding to the intermediate point as the optimal fusion point distribution; the fused joint probability distribution is sampled and quantized with fixed precision to obtain a high-dimensional feature value array; an information-preserving compression coding algorithm is applied to the high-dimensional feature value array to generate a digital coding sequence as a personal identification feature identifier.

[0014] Optionally, in the sixth implementation of the first aspect of the present invention, the method includes: extracting the target person's identity information, authorization qualifications, and historical behavior records according to the business domain in which the target person is located, and organizing them into a business data table; establishing a bidirectional association mapping between the personal identity feature identifier and the business data table, and generating an association mapping table; and generating a business-related digital file based on the core data representation of the digital geometric model, the machine-readable representation of the topology diagram, the personal identity feature identifier, the business data table, and the association mapping table.

[0015] Optionally, in the seventh implementation of the first aspect of the present invention, key information fields are extracted from the source data of the target personnel's identity certificate, qualification certificate and historical operation record to generate an initial business data set; according to preset business compliance rules, the information in the initial business data set is logically verified and timeliness verified to generate business records with verification marks; the business records with verification marks are organized according to preset hierarchy and relationship to form a business data table. Optionally, in the eighth implementation of the first aspect of the present invention, a basic primary-foreign key relationship is established based on the encoding structure of the personal identification feature identifier and the record primary key of the business data table; on top of the basic primary-foreign key relationship, dynamic access and operation logic rules based on business scenarios are added to form an association mapping table embedded with business logic; the core data representation of the digital geometric model, the machine-readable representation of the topology diagram, the personal identification feature identifier, the business data table, and the association mapping table embedded with business logic are encapsulated according to a preset file format that includes header information and data body; based on the personal identification feature identifier and the business data table, a global digital signature is generated and attached to the encapsulated file data body to form a business-related digital file.

[0016] Optionally, in the ninth implementation of the first aspect of the present invention, the method includes: performing a process of constructing a digital geometric model, generating a topological structure diagram, and performing information geometric fusion on real-time acquired facial images of business sites to generate a real-time identity feature identifier; calculating the information geometric distance between the real-time identity feature identifier and the personal identity feature identifier stored in the business-related digital archive to obtain a quantified value of identity similarity; parsing the business data table in the business-related digital archive, and combining it with the context information of the current business scenario to perform real-time verification of the target personnel's operational qualifications and access permissions to generate a business compliance status judgment; comprehensively calculating the quantified value of identity similarity and the business compliance status judgment based on a preset fusion rule to form a fusion decision vector; generating a fusion decision signal according to the fusion decision vector, and outputting the signal to the business control system to trigger the corresponding access or authorization action.

[0017] Beneficial effects: When constructing a digital geometric model, in response to the occlusion of protective equipment, the points in the occluded area of ​​the initial facial feature point cloud are geometrically reconstructed and interpolated using the curvature continuity of the surrounding unoccluded area to generate an adaptive facial feature point cloud. This effectively overcomes the occlusion problem and improves the recognition accuracy in complex power plant environments. Beyond focusing on identity verification, it also tightly links and binds personal identification identifiers with the target personnel's compliance business information, generating a business-related digital profile. Key information is extracted from the target personnel's identity documents, qualification certificates, and historical operation records. After logical verification and timeliness verification, this information is organized into a business data table and a two-way association mapping is established with the personal identification identifiers. This forms an association mapping table embedded with business logic, achieving deep integration of personnel identity information and business information. The core data representation of the digital geometric model, the machine-readable representation of the topology diagram, personal identification identifiers, business data tables, and the association mapping tables embedded with business logic are encapsulated according to a preset file format that includes header information and data body. A global digital signature is generated based on the personal identification identifiers and business data tables and attached to the encapsulated file data body, ensuring the integrity and immutability of business-related digital file data and providing a secure and reliable data foundation for power plant personnel management. Because personal identification identifiers are highly unique and stable, business-related digital profiles built upon these identifiers can track changes in personnel identity and business information accurately and over a long period. Even if a person's facial features change over time, they can still be accurately identified and associated through their unique geometric and topological features, providing strong support for the long-term management of personnel in power plants. Attached Figure Description

[0018] Figure 1 This is a schematic diagram of an embodiment of the full-process digital archive system based on face recognition in this invention. Figure 2 This is a schematic diagram illustrating the process of converting a face image into a digital geometric model using point clouds and mesh structures, and extracting stable feature points. Figure 3 This is a schematic diagram of one embodiment of the full-process digital archiving device based on face recognition in this invention. Detailed Implementation

[0019] This invention provides a full-process digital archiving system based on facial recognition, used to provide methods for personnel authentication and business compliance management. The terms "first," "second," "third," "fourth," etc. (if present) in the specification, claims, and accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" or "having" and any variations thereof are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices.

[0020] For ease of understanding, the specific process of the embodiments of the present invention is described below. Please refer to [link / reference]. Figure 1 and Figure 2 One embodiment of the end-to-end digital archive system based on facial recognition in this invention includes: 101. Acquisition module, used to construct a digital geometric model representing the geometric characteristics of the facial surface based on the acquired facial image data.

[0021] It is understood that the executing entity of this invention can be a full-process digital archiving device based on facial recognition, or it can be a terminal or a server; the specific implementation is not limited here. This embodiment of the invention will be described using a server as an example.

[0022] Specifically, the acquired face images are subjected to affine transformation normalization and illumination consistency processing to obtain a preprocessed image under standard scale and illumination. The face surface in the preprocessed image is modeled as a two-dimensional geometric manifold, and the Gaussian curvature and mean curvature of each point on the manifold are calculated to generate a set of differential geometric parameters. Based on the differential geometric parameters, stable feature points on the face surface are extracted and screened, and the geodesic distance between these feature points is calculated to finally form a geometric feature matrix, which serves as the core data representation of the digital geometric model.

[0023] 102. Topology module, used to generate a topology graph representing the key topological structure of a face through continuous cohomological computation based on a digital geometric model.

[0024] Specifically, a set of points representing key geometric features of the face are extracted from the core data representation of the digital geometric model to form a facial feature point cloud. The facial feature point cloud is subjected to continuous homology analysis under multiple preset scale parameters to generate a topological barcode map describing the relationship between the facial connectivity structure and hole structure with scale. Stable topological features are extracted from the topological barcode map, quantized into a set of topological invariants, and used to form a topological feature vector as a machine-readable representation of the topological structure map.

[0025] Furthermore, a facial feature point cloud is formed, including: based on the core data representation of the digital geometric model, extracting the extreme points of the Gaussian curvature and average curvature of the face surface to generate an initial facial feature point cloud; for the protective equipment occlusion in the business scenario, the points in the occluded area of ​​the initial facial feature point cloud are geometrically reconstructed and interpolated using the curvature continuity of the surrounding unoccluded area to generate a complete adaptive facial feature point cloud; Generate a topological barcode image, including: based on adaptive face feature point cloud, construct simple complexes at each scale according to a preset multi-scale radius sequence; by calculating the homology group of the simple complexes at each scale, track the generation and disappearance process of topological features in the adaptive face feature point cloud, and generate a multi-scale topological evolution barcode image. A topological feature vector is constructed by: statistically analyzing the persistence length of each topological feature in the multi-scale topological evolution barcode image, and selecting stable topological features whose persistence exceeds a preset threshold; encoding the selected stable topological features according to their birth scale, extinction scale and topological dimension to form an enhanced topological feature vector, which serves as a machine-readable representation of the topological structure graph.

[0026] 103. Identification module, used to perform information geometric fusion of digital geometric model and topological structure diagram to form a unique personal identification feature identifier.

[0027] Specifically, the core data representation of the digital geometric model and the machine-readable representation of the topological structure graph are mapped to two statistical distributions under the information geometry theoretical framework, respectively. Based on the concept of statistical manifold in information geometry, the geodesic connecting the two statistical distributions is calculated, and an optimal fusion point distribution is determined on this geodesic. The optimal fusion point distribution is encoded and compressed to generate a unique, fixed-length digital encoding sequence as an individual identity identifier.

[0028] Furthermore, they are mapped to two statistical distributions under the information geometry theoretical framework, including: the core data representation of the digital geometric model is fitted to generate a first Gaussian distribution parameter set based on the statistical characteristics of its numerical distribution; the machine-readable representation of the topological structure graph is fitted to generate a second discrete probability distribution parameter set based on the discrete statistical characteristics of its topological features. Determining an optimal fusion point distribution includes: taking the first Gaussian distribution parameter set and the second discrete probability distribution parameter set as two starting points on the information geometric manifold; calculating the geodesic connecting the two starting points, and finding an intermediate point along the geodesic that maximizes the joint information entropy of the two distributions; and reconstructing a fused joint probability distribution using the parameters corresponding to the intermediate point, which is then taken as the optimal fusion point distribution. Generating a unique, fixed-length digital code sequence includes: sampling and quantizing the fused joint probability distribution with fixed precision to obtain a high-dimensional feature value array; applying an information-preserving compression coding algorithm to the high-dimensional feature value array to generate a unique, fixed-length digital code sequence, i.e., a personal identification feature identifier.

[0029] 104. The file module is used to associate and bind personal identification identifiers with the compliance business information of target personnel, and generate a business-related digital file containing geometric features, topological features and business information.

[0030] Specifically, based on the target personnel's business domain, their identity information, authorization qualifications, and historical behavior records are extracted and organized into a business data table; a bidirectional association mapping between personal identification identifiers and the business data table is established to generate an association mapping table; the core data representation of the digital geometric model, the machine-readable representation of the topology diagram, the personal identification identifiers, the business data table, and the association mapping table are encapsulated and signed according to a preset file structure to generate a complete and verifiable business-related digital file.

[0031] Furthermore, the business data table organized includes: extracting key information fields from the source data of the target personnel's identity documents, qualification certificates, and historical operation records to generate an initial business data set; performing logical verification and timeliness verification on the information in the initial business data set according to preset business compliance rules to generate a set of business records with verification marks; and organizing the business records with verification marks according to preset hierarchy and relationships to form a business data table. Generate an association mapping table, including: an encoding structure based on personal identification feature identifiers and the primary key of the records in the business data table, to establish a basic primary-foreign key association relationship; on top of the basic primary-foreign key association relationship, add dynamic access and operation logic rules based on business scenarios to form an association mapping table embedded with business logic; Generate a complete and verifiable business-related digital archive, including: encapsulating the core data representation of the digital geometric model, the machine-readable representation of the topology diagram, personal identification identifiers, business data tables, and association mapping tables embedded with business logic in a preset archive format containing header information and data body; generating a global digital signature based on the personal identification identifiers and business data tables using an asymmetric encryption algorithm, and attaching it to the encapsulated archive data body, ultimately forming a complete and verifiable business-related digital archive.

[0032] 105. Judgment Module: In the business access or operation authorization process, it generates a corresponding real-time identity feature identifier by collecting facial images in real time, compares it with the personal identity feature identifier in the business-related digital file, and outputs a fusion decision signal containing identity verification and business compliance judgment based on the comparison result and the business information in the file.

[0033] Specifically, for real-time captured facial images from the business site, a process is executed to construct a digital geometric model, generate a topology diagram, and perform information geometric fusion to generate a real-time identity feature identifier. The information geometric distance between the real-time identity feature identifier and the personal identity feature identifier stored in the business-related digital archive is calculated to obtain a quantitative value for identity similarity. The business data table in the business-related digital archive is parsed, and combined with the context information of the current business scenario, the operational qualifications and access permissions of the target personnel are verified in real time to generate a business compliance status judgment. The quantitative value for identity similarity and the business compliance status judgment are comprehensively calculated based on preset fusion rules to form a fusion decision vector. According to the fusion decision vector, a fusion decision signal containing the final verification conclusion, the associated confidence level, and the details of the specific verification items is generated, and the signal is output to the business control system to trigger the corresponding access or authorization action.

[0034] In this embodiment of the invention, the beneficial effects are as follows: By generating identity feature identifiers in real time and accurately comparing them with pre-stored archives, the invention achieves high-precision, multi-factor fusion dynamic identity verification. The system calculates the similarity of facial geometric and topological features, and performs dual judgment by combining real-time business scenarios with compliance information in the archives, significantly improving the accuracy and anti-counterfeiting capabilities of identity recognition in complex application scenarios. Simultaneously, by integrating decision signal sets, verification conclusions, confidence levels, and verification details, the business control system can execute hierarchical authorization based on quantitative results, enhancing the refinement and automation level of security control. Overall, this module seamlessly integrates identity verification with business compliance assessment, effectively supporting reliable access and authorization decisions in scenarios with high security requirements.

[0035] Figure 3 This is a schematic diagram of the structure of a face recognition-based end-to-end digital archiving device 200 provided in an embodiment of the present invention. The face recognition-based end-to-end digital archiving device 200 may include a processor 201 and a memory 202. The memory 202 is used to store program instructions and / or data, and the processor 201 is used to execute the program instructions stored in the memory 202, thereby implementing the method described in the above-described method embodiment.

[0036] Optionally, the memory 202 and the processor 201 are coupled. The coupling is an indirect coupling or communication connection between devices, units, or modules, and can be electrical, mechanical, or other forms, for information exchange between devices, units, or modules.

[0037] Optionally, the face recognition-based end-to-end digital archiving device 200 may also include a communication interface 203. The communication interface 203 is used to communicate with other devices via a transmission medium, for example, transmitting received signals from other communication devices to the processor 201, or transmitting signals from the processor 201 to other communication devices. The communication interface 203 may be a transceiver or an interface circuit, such as a transceiver circuit or transceiver chip.

[0038] This application embodiment does not limit the specific connection medium between the processor 201, memory 202, and communication interface 203. This application embodiment... Figure 2 The processor 201, memory 202, and communication interface 203 are connected via a bus 204. Figure 2 The connections between other components are shown in bold and are for illustrative purposes only, not as limiting information. The bus can be divided into address bus, data bus, control bus, etc. For ease of illustration, Figure 2 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0039] The present invention also provides a face recognition-based end-to-end digital archiving device, which includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor performs the steps of the face recognition-based end-to-end digital archiving system described in the above embodiments.

[0040] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when the instructions are executed on a computer, cause the computer to perform the steps of the face recognition-based end-to-end digital archive system.

[0041] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0042] If the integrated unit is implemented as 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 invention, in essence, 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. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0043] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A full-process digital archiving system based on facial recognition, characterized in that, include: The acquisition module is used to construct a digital geometric model representing the geometric properties of the facial surface based on the acquired facial image data. The topology module is used to generate a topology diagram representing the key topological structure of a face based on the digital geometric model. The identification module is used to perform information geometric fusion between the digital geometric model and the topological structure diagram to form a personal identification feature identifier; The file module is used to associate and bind the personal identification feature identifier with the target person's compliance business information to generate a business-related digital file; The judgment module is used to generate a corresponding real-time identity feature identifier through real-time collected facial images, compare it with the personal identity feature identifier in the business-related digital archive, and output a fusion decision signal based on the comparison result and the business information in the archive. The fusion decision signal includes identity verification and business compliance judgment.

2. The full-process digital archiving system based on face recognition according to claim 1, characterized in that, include: Points representing key facial geometric features are extracted from the core data representation of the digital geometric model to form a facial feature point cloud; The facial feature point cloud is subjected to continuous coherence analysis under multiple preset scale parameters to generate a topological barcode map. Stable topological features are extracted from the topological barcode image, quantized into topological invariants, and used to construct a topological feature vector, which serves as a machine-readable representation of the topological structure graph.

3. The full-process digital archiving system based on face recognition according to claim 2, characterized in that, Based on the core data representation of the digital geometric model, the extreme points of the Gaussian curvature and average curvature of the face surface are extracted to generate an initial face feature point cloud. To address the issue of protective equipment obstruction in business scenarios, the points in the obstructed areas of the initial facial feature point cloud are geometrically reconstructed and interpolated using the curvature continuity of the surrounding unobstructed areas to generate an adaptive facial feature point cloud. Based on the adaptive facial feature point cloud, simple complexes at each scale are constructed according to a preset multi-scale radius sequence. By calculating the homology group of the simple complex at each scale, the generation and disappearance process of topological features in the adaptive face feature point cloud is tracked to generate a multi-scale topological evolution barcode map. Statistical analysis is performed on the persistence length of each topological feature in the multi-scale topological evolution barcode image to screen out stable topological features with persistence exceeding a preset threshold. The selected stable topological features are encoded according to their birth scale, extinction scale, and topological dimension to form a topological feature vector, which serves as a machine-readable representation of the topological structure graph.

4. The full-process digital archiving system based on face recognition according to claim 1, characterized in that, include: The core data representation of the digital geometric model and the machine-readable representation of the topological structure graph are respectively mapped to two statistical distributions under the information geometry theoretical framework; Based on the concept of statistical manifolds in information geometry, the geodesic connecting the two statistical distributions is calculated, and the optimal fusion point distribution is determined on this geodesic. The optimal fusion point distribution is encoded and compressed to generate a personal identity feature identifier.

5. The full-process digital archiving system based on face recognition according to claim 4, characterized in that, The core data of the digital geometric model are represented, and based on the statistical characteristics of its numerical distribution, a first Gaussian distribution parameter set is generated by fitting. The machine-readable representation of the topological graph is based on its topological features. Discrete statistical properties are used to fit and generate a second discrete probability distribution parameter set; The first Gaussian distribution parameter set and the second discrete probability distribution parameter set are used as two starting points on the information geometric manifold; Calculate the geodesic connecting the two starting points, and find the intermediate point along the geodesic that maximizes the joint information entropy of the two distributions; Using the parameters corresponding to the intermediate points, the joint probability distribution after fusion is reconstructed, which is then used as the optimal fusion point distribution. The fused joint probability distribution is sampled and quantized with fixed precision to obtain a high-dimensional feature value array; An information-preserving compression coding algorithm is applied to the high-dimensional feature value array to generate a digital coded sequence as a personal identification feature identifier.

6. The full-process digital archiving system based on face recognition according to claim 1, characterized in that, include: Based on the target personnel's business area, extract their identity information, authorization qualifications, and historical behavior records, and organize them into a business data table; Establish a bidirectional association mapping between the personal identification feature identifier and the business data table, and generate an association mapping table; Business-related digital archives are generated based on the core data representation of the digital geometric model, the machine-readable representation of the topology diagram, the personal identification feature identifier, the business data table, and the association mapping table.

7. The full-process digital archiving system based on face recognition according to claim 6, characterized in that, Extract key information fields from the source data of the target personnel's identity documents, qualification certificates, and historical operation records to generate an initial business data set; Based on preset business compliance rules, logical verification and timeliness verification are performed on the information in the initial business data set to generate business records with verification marks; Business records with verification tags are organized according to preset hierarchies and relationships to form a business data table.

8. The full-process digital archiving system based on face recognition according to claim 7, characterized in that, Based on the encoding structure of the personal identification feature identifier and the primary key of the record in the business data table, a basic primary-foreign key relationship is established; On top of the basic primary-foreign key relationship, dynamic access and operation logic rules based on business scenarios are added to form an association mapping table embedded with business logic; The core data representation of the digital geometric model, the machine-readable representation of the topology diagram, the personal identification feature identifier, the business data table, and the association mapping table embedded with business logic are encapsulated according to a preset file format that includes header information and data body; Based on the personal identification feature identifier and the business data table, a global digital signature is generated and attached to the encapsulated archive data body to form a business-related digital archive.

9. The full-process digital archiving system based on face recognition according to claim 1, characterized in that, include: For real-time collected facial images from the business site, a process is executed to construct a digital geometric model, generate a topological structure diagram, and perform information geometric fusion to generate a real-time identity feature identifier; Calculate the information geometric distance between the real-time identity feature identifier and the personal identity feature identifier stored in the business-related digital file to obtain a quantitative value of identity similarity; The business data table in the business-related digital archive is parsed, and combined with the context information of the current business scenario, the operation qualifications and access permissions of the target personnel are verified in real time to generate a business compliance status judgment. The identity similarity metric and the business compliance status judgment are combined and calculated based on preset fusion rules to form a fusion decision vector; Based on the fusion decision vector, a fusion decision signal is generated and output to the business control system to trigger the corresponding access or authorization action.

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