Internet resource long-term storage management and storage system

By combining the spatiotemporal coding layer and the persistence control layer, and utilizing FPGA and bismuthate glass storage media, self-description and self-proof of Internet resources are realized. This solves the problems of migration loss and trusted verification in the long-term preservation of Internet resources, provides decentralized data persistence management, and ensures the long-term integrity and readability of data.

CN122044481APending Publication Date: 2026-05-15SUZHOU JIATU SOFTWARE CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUZHOU JIATU SOFTWARE CO LTD
Filing Date
2026-01-26
Publication Date
2026-05-15

AI Technical Summary

Technical Problem

Existing technologies for the long-term preservation of internet resources suffer from problems such as large migration losses, unreliable environmental dependence, high costs of massive storage, and incomplete trust verification, making it impossible to achieve permanent and trustworthy data preservation.

Method used

By employing a spatiotemporal coding layer and a persistence control layer, utilizing an FPGA main control chip and bismuthate glass storage medium, combined with an autonomous evolution algorithm and a distributed verification network, the system enables data to self-describe and self-certify. Furthermore, through permanent solidification with holographic gratings and dynamic evolution management, the system ensures the long-term integrity and readability of the data.

Benefits of technology

It enables proactive, embedded decoding logic for internet resources, bridges technological gaps, reduces unnecessary operational overhead, ensures the reliable existence and efficient management of data amidst technological changes, and provides decentralized, publicly auditable assurance.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an internet resource long-term storage management and storage system, which comprises a space-time coding layer which is based on an FPGA (Field Programmable Gate Array) main control chip, comprises a parallelized tensor processing unit and is used for converting digital resources and metadata and context relationships thereof into a space-time coding body with a time self-description capability; the storage unit is used for receiving the space-time coding body from the space-time coding layer and permanently solidifying the space-time coding body in a tamper-resistant physical form; and the four-dimensional continuation control layer is used for dynamically managing the integrity, readability and authenticity of resources in the whole life cycle through an autonomous evolution algorithm and a distributed verification network. Through collaborative innovation of a space-time coding body (an information layer), a holographic cold memory (a physical layer) and a continuation control network (a management and control layer), the basic challenges of long-term storage of Internet resources in the aspects of authenticity, integrity, availability, safety, cost, technical dependence and the like are systematically handled.
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Description

Technical Field

[0001] This invention belongs to the field of computer system technology, and more specifically, relates to a long-term preservation, management and storage system for Internet resources. Background Technology

[0002] The long-term preservation of internet resources faces multiple fundamental challenges: information becomes unreadable due to outdated technology, is lost due to aging storage media, faces single points of failure due to centralized control, and loses authenticity due to complex migration processes. Existing technological approaches have significant limitations: 1. Traditional storage paradigms have reached their limits: Current mainstream solutions rely on periodic data migration, i.e., periodic transfers between old and new storage media and technology platforms. This approach is costly, prone to introducing errors or loss of metadata and contextual information during migration, and fails to address the fundamental problem of data formats eventually becoming obsolete as hardware and software environments become outdated. Furthermore, electronic storage media, primarily disks and tapes, have a theoretically limited lifespan, and their core supply chains are dependent on external suppliers.

[0003] 2. Inherent limitations of encapsulation and simulation methods: While data encapsulation methods proposed in the field of digital storage emphasize packaging data and metadata, the encapsulation format itself still requires future system interpretation and does not provide inherent decoding capabilities independent of specific environments. Simulation solutions attempt to reproduce old hardware and software in a virtual environment to read historical data, but their implementation is complex and inefficient, and the long-term maintenance of the simulator itself presents a new problem.

[0004] 3. Massive data storage capacity. Directly storing data on the blockchain will lead to poor performance and skyrocketing costs, while storing only hash values ​​cannot guarantee the long-term readability and integrity of the data itself, which is a single point of failure.

[0005] In summary, current technologies suffer from problems such as high passive migration losses, unreliable environmental dependence, high costs of massive storage, and incomplete trusted verification. There is an urgent need for an innovative solution to achieve permanent and trusted storage of digital information in a proactive, embedded, physical, and economical manner. Summary of the Invention

[0006] In view of the shortcomings of the existing technology, the purpose of this invention is to provide a long-term preservation, management and storage system for Internet resources.

[0007] To achieve the aforementioned objectives, the technical solution adopted by this invention includes: a long-term preservation, management, and storage system for internet resources, comprising: The spatiotemporal coding layer, based on an FPGA main control chip and containing parallelized tensor processing units, transforms digital resources and their metadata and contextual relationships into a spatiotemporal coded body with time self-describing capabilities; it also specifically optimizes matrix and vector operations in the STEP algorithm. Each engine is equipped with a local clock source (rubidium atomic clock synchronization) and an encryption chip to ensure the accuracy of timestamps and the security of the coding process.

[0008] The spatiotemporal coding layer is implemented by the following steps: The original data stream D is decomposed into n sub-vectors according to a predefined dimensional framework (content, structure, context, behavior). ; For encoding time Generate a unique timestamp τ and use it as a basis vector. The calculation of τ is embedded using an improved mixed-logic clock: This ensures that the entire system is unique and orderly. Define the structural relationship matrix R between the elements within a resource (such as text, images, and style sheets on a webpage), where The correlation strength between elements i and j is represented by a graph neural network and quantized accordingly. Projecting the subvectors and relation matrix into a multidimensional space, the projection transformation function is: Here, Φ is a reversible neural transformation network, such as the Real NVP or Glow model based on coupling layers. Its reversibility is mathematically guaranteed by the network structure itself, ensuring the existence of an inverse function Φ⁻¹; Θ is its parameter. The key innovation lies in a portion of the network parameter Θ. It will be extracted and stored as part of the encoder, and can be used to reconstruct the decoding logic in the future, even if the original neural network architecture has been phased out. Final code M represents the minimum metadata (such as the encoded data ID or hash value). STE itself is a self-contained mathematical object containing all the information and logic needed to reconstruct the original resource in the future.

[0009] It also includes a persistence control layer that, when a certain STE needs to evolve, loads the STE's decoding microcode, decodes the data body to obtain the original resource information, and then re-encodes it using the latest STEP algorithm. The hardware implementation (such as a dedicated ASIC) and software simulator source code of the persistence control layer will be preserved and open-sourced as part of the system, just like the core algorithm.

[0010] The storage unit receives the spatiotemporal encoded data from the spatiotemporal coding layer and permanently solidifies it in an immutable physical form (holographic grating); The storage medium of the memory cell is a special bismuthate glass uniformly doped with surface-modified perovskite quantum dots (CsPbX3, X = Cl / Br / I mixture). Under femtosecond laser induction, the quantum dots undergo a controllable localized phase transformation (non-ablation), forming a subwavelength-scale grating with extremely high refractive index contrast (Δn > 0.01). The writing principle utilizes the interference between the object beam and the reference beam to record interference patterns at three-dimensional points (x, y, z) within the glass medium through a two-photon absorption effect. By changing the angle or wavelength of the reference beam, multiple reuses (angle multiplexing + wavelength multiplexing) can be achieved within the same physical volume.

[0011] Reading principle: The original reference light is used to illuminate the storage point, and the diffracted object light wavefront is captured by the CMOS sensor. The original data page is reconstructed through calculation.

[0012] The physical structure includes: The write / read head integrates optical components such as a femtosecond laser, a spatial light modulator, a tunable filter, and a high-speed CMOS sensor. A three-dimensional moving platform that carries a glass medium and enables nanometer-level precision three-dimensional movement of storage units. Quantum dot glass disks, with a standard size of φ100mm × 5mm and a storage layer thickness of 3mm. The theoretical storage capacity of a single disk exceeds 1PB (1000TB). Parallel optical channels: The system adopts 8-channel parallel read and write by combining spatial division multiplexing and time division multiplexing. Each channel independently processes one data page to achieve high throughput.

[0013] Write the governing equations: The relationship between the refractive index change Δn(r) of the medium and the recorded light intensity I(r) is as follows: , Where κ is the material sensitivity coefficient, α is the nonlinear coefficient (approximately 1.5-2.0), β is the depth attenuation factor, and z is the depth within the medium. Recording quality can be optimized by precisely controlling the laser pulse energy and exposure time. In the control software, the laser pulse energy is dynamically increased according to the writing depth z in a ratio of exp(β·z) to ensure that voxels at different depths achieve the same refractive index modulation depth, thus guaranteeing holographic uniformity.

[0014] The four-dimensional persistence control layer dynamically manages the integrity, readability, and authenticity of resources throughout their entire lifecycle through an autonomous evolution algorithm and a distributed verification network.

[0015] The four-dimensional survival control layer is implemented through the following steps: Input: Technical environment monitoring signal Coding body health Survival strategy P; Status assessment: Defining the survival risk index: , It is the product of the weighted sum and the adjustment factor; The difference between the current mainstream format and the format used in the encoding body is calculated as the cosine distance between the feature vectors of the current mainstream format and the feature vectors of the format used in STE. The value range is [0,1], where 1 indicates that they are completely different. The discontinuation period for critical read / write hardware (such as specific lasers). = min(1.0, Years_Since_EOL / T). Where Years_Since_EOL is the number of years since the hardware was discontinued, and T is the risk saturation threshold (e.g., set to 10 years). When discontinuation exceeds 10 years, the risk value reaches its maximum of 1.0. The age of the encoded body since the last verification; For weight parameters, weight The value is determined using the analytic hierarchy process (AHP) combined with expert scoring. For example, initial reference values ​​are set as follows: =0.5, =0.3, =0.2.

[0016] Evolutionary decision: When RI exceeds the threshold At that time, evolution is triggered; threshold It is not a fixed value, but rather dynamically adjusted through reinforcement learning. AEC gradually optimizes based on feedback from the "cost" (resource consumption) and "benefit" (risk reduction) of each evolutionary operation. Values ​​are used to form adaptive strategies.

[0017] The evolutionary process includes: Utilizing the code body contained Using the latest version of the STEP algorithm, the original resources and metadata are decoded; C1. Verify the integrity and authenticity of the resources.

[0018] C2. The latest STEP algorithm is invoked, combining the original timestamp τ with new technological environmental characteristics to generate a new generation of spatiotemporal coded body (STE). Key point: The original timestamp τ is inherited as a "birth certificate," ensuring the continuity of historical links.

[0019] C3, Output: The new generation STE is written to the new holographic storage location and the record is updated on the verification network.

[0020] A distributed verification network, inspired by blockchain but tailored for storage, is a non-financial distributed ledger used to record the life status and evolution history of all Storage Entities (STEs). It includes archive nodes (holding physical storage), verification nodes (performing spot checks), and audit nodes (supervising the entire chain). Periodically (e.g., annually), it randomly selects one-thousandth of STEs for optical probing and decoding verification. The verification process includes: reading holographic points, decoding the STE, calculating hashes, and comparing metadata records. Any node earns "life points" by successfully completing the verification task and receiving confirmation from other nodes. Nodes with higher points gain the right to record new blocks. Blocks do not record transactions, but rather life health reports, evolution events, and anomaly alerts. Nodes communicate point-to-point via dedicated secure channels (using the national cryptographic SM2 / SM3 algorithm). The physical holographic storage array is connected to the nearest verification node via a fiber optic network, receiving probing commands and returning optical signals.

[0021] The latest STEP algorithm specifically includes: in It is the frequency with which elements i and j logically co-occur (such as on the same page of a website). It is the frequency of element i. The frequency of element j.

[0022] A mobile terminal includes a mobile terminal body and a controller, characterized in that: the controller includes a memory, a processor and a computer program stored in the memory and executable on the memory, wherein the processor executes the program to implement the steps of a long-term preservation, management and storage system for Internet resources.

[0023] Compared with the prior art, the advantages of the present invention include: (1) The present invention provides a long-term preservation management and storage system for Internet resources, which preserves dynamic STEs with embedded decoding logic and evolution capabilities. It achieves this through embedded partial decoding parameters. The inherited timestamp τ enables resources to remain self-describing and self-proving even after leaving their original technological environment, and to actively evolve under the management of the controller, bridging technological gaps. This solves the fundamental problems of format obsolescence and migration overhead. (2) This invention provides a long-term preservation management and storage system for Internet resources, proposing a survival risk index (RI) model to comprehensively quantify risks from multiple dimensions, such as changes in the technological environment, media health, and the age of the encoded data, to achieve on-demand evolution. The evolution process is an intelligent iteration of decoding-verification-re-encoding, which greatly reduces unnecessary operational overhead and potential threats to the original authenticity while ensuring the continuity of survival. (3) The present invention provides a long-term preservation management and storage system for Internet resources, which constructs a distributed network specifically designed for ongoing auditing. Incentivized nodes maintain network security and data trustworthiness by actually performing optical inspection and decoding verification tasks on offline holographic storage media. This ensures the continuous, decentralized, and publicly auditable status of massive amounts of offline data, establishing an unprecedented, technologically neutral long-term preservation trust anchor. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a long-term preservation, management, and storage system for Internet resources according to the present invention. Detailed Implementation

[0026] In view of the shortcomings of the prior art, the inventors of this invention, through long-term research and extensive practice, have proposed the technical solution of this invention. The technical solution, its implementation process, and principles will be further explained below with reference to the accompanying drawings and specific implementation examples in the embodiments of this application.

[0027] It should be noted that the embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and should not be construed as limiting the present invention. The described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, the present invention covers any substitutions, modifications, equivalent methods and solutions made on the spirit, principles and scope of the present invention as defined by the claims. All other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] In the description of this application, the terms "first," "second," "third," and similar words do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "a" or "one," and similar words, do not indicate a quantity limitation, but rather indicate the presence of at least one. The terms "comprising" or "including," and similar words, mean that the elements or objects preceding "comprising" or "including" encompass the elements or objects listed following "comprising" or "including," and their equivalents, but do not exclude other elements or objects. The terms "connected" or "linked," and similar words, are not limited to physical or mechanical connections, but can include electrical connections, whether direct or indirect.

[0029] In the description of this application, the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are used solely for the convenience of describing this application and for simplification, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this application. Furthermore, when using positional terms such as "both sides," "outer side," and "upper and lower," it should be understood that they are used only for ease of understanding and description, taking into account that the structure may be oriented to other positions.

[0030] In the description of this application, unless otherwise expressly specified and limited, the technical or scientific terms used shall have the ordinary meaning understood by a person with ordinary skills in the art to which this application pertains. Terms such as “installation,” “connection,” and “joining” shall be interpreted broadly, for example, as fixed connection, detachable connection, mating connection, or integral connection. For a person skilled in the art, the specific meaning of the above terms in this application can be understood according to the specific circumstances.

[0031] The present invention aims to introduce and explain the structural composition of a long-term preservation, management and storage system for Internet resources and the cooperative relationship between the various components. Unless otherwise specified, the size, material and manufacturing process of each component in the long-term preservation, management and storage system for Internet resources in the present invention can be selected according to specific circumstances, and no special limitations or explanations are made here.

[0032] Furthermore, to provide the public with a better understanding of the present invention, certain specific details are described in detail in the following description of the invention. However, those skilled in the art will fully understand the invention even without these detailed descriptions.

[0033] Example 1 Please see Figure 1 A long-term preservation, management, and storage system for internet resources, comprising: The spatiotemporal coding layer, based on an FPGA main control chip and containing parallelized tensor processing units, transforms digital resources and their metadata and contextual relationships into a spatiotemporal coded body with time self-describing capabilities; it also specifically optimizes matrix and vector operations in the STEP algorithm. Each engine is equipped with a local clock source (rubidium atomic clock synchronization) and an encryption chip to ensure the accuracy of timestamps and the security of the coding process.

[0034] The spatiotemporal coding layer is implemented by the following steps: The original data stream D is decomposed into n sub-vectors according to a predefined dimensional framework (content, structure, context, behavior). ; For encoding time Generate a unique timestamp τ and use it as a basis vector. The calculation of τ is embedded using an improved mixed-logic clock: This ensures that the entire system is unique and orderly. Define the structural relationship matrix R between the elements within a resource (such as text, images, and style sheets on a webpage), where The correlation strength between elements i and j is represented by a graph neural network and quantized accordingly. Projecting the subvectors and relation matrix into a multidimensional space, the projection transformation function is: Here, Φ is a reversible neural transformation network, such as the Real NVP or Glow model based on coupling layers. Its reversibility is mathematically guaranteed by the network structure itself, ensuring the existence of an inverse function Φ⁻¹; Θ is its parameter. The key innovation lies in a portion of the network parameter Θ. It will be extracted and stored as part of the encoder, and can be used to reconstruct the decoding logic in the future, even if the original neural network architecture has been phased out. Final code M represents the minimum metadata (such as the encoded data ID or hash value). STE itself is a self-contained mathematical object containing all the information and logic needed to reconstruct the original resource in the future.

[0035] It also includes a persistence control layer that, when a certain STE needs to evolve, loads the STE's decoding microcode, decodes the data body to obtain the original resource information, and then re-encodes it using the latest STEP algorithm. The hardware implementation (such as a dedicated ASIC) and software simulator source code of the persistence control layer will be preserved and open-sourced as part of the system, just like the core algorithm.

[0036] The storage unit receives the spatiotemporal encoded data from the spatiotemporal coding layer and permanently solidifies it in an immutable physical form (holographic grating); The storage medium of the memory cell is a special bismuthate glass uniformly doped with surface-modified perovskite quantum dots (CsPbX3, X = Cl / Br / I mixture). Under femtosecond laser induction, the quantum dots undergo a controllable localized phase transformation (non-ablation), forming a subwavelength-scale grating with extremely high refractive index contrast (Δn > 0.01). The writing principle utilizes the interference between the object beam and the reference beam to record interference patterns at three-dimensional spatial points (x, y, z) within the glass medium through a two-photon absorption effect. By changing the angle or wavelength of the reference beam, multiple reuses (angle reuse + wavelength reuse) can be achieved within the same physical volume.

[0037] Reading principle: The original reference light is used to illuminate the storage point, and the diffracted object light wavefront is captured by the CMOS sensor. The original data page is reconstructed through calculation.

[0038] The physical structure includes: The write / read head integrates optical components such as a femtosecond laser, a spatial light modulator, a tunable filter, and a high-speed CMOS sensor. A three-dimensional moving platform that carries a glass medium and enables nanometer-level precision three-dimensional movement of storage units. Quantum dot glass disks, with a standard size of φ100mm × 5mm and a storage layer thickness of 3mm. The theoretical storage capacity of a single disk exceeds 1PB (1000TB). Parallel optical channels: The system adopts 8-channel parallel read and write by combining spatial division multiplexing and time division multiplexing. Each channel independently processes one data page to achieve high throughput.

[0039] Write the governing equations: The relationship between the refractive index change Δn(r) of the medium and the recorded light intensity I(r) is as follows: , Where κ is the material sensitivity coefficient, α is the nonlinear coefficient (approximately 1.5-2.0), β is the depth attenuation factor, and z is the depth within the medium. Recording quality can be optimized by precisely controlling the laser pulse energy and exposure time. In the control software, the laser pulse energy is dynamically increased according to the writing depth z in a ratio of exp(β·z) to ensure that voxels at different depths achieve the same refractive index modulation depth, thus guaranteeing holographic uniformity.

[0040] This solution does not simply employ existing blue light storage or traditional photochromic materials. Instead, it innovatively utilizes the principle of femtosecond laser-induced phase transitions in perovskite quantum dots to achieve three-dimensional volumetric holographic storage within special glass. This medium features irreversible write resistance (tamper-proof), resistance to electromagnetic radiation, a theoretically thousand-year lifespan, and extremely high storage density. Simultaneously, it eliminates dependence on imported storage chips or high-end magnetic tapes, achieving independent control and ultimate stability of the physical medium. This represents a fundamental breakthrough in storage media.

[0041] The four-dimensional persistence control layer dynamically manages the integrity, readability, and authenticity of resources throughout their entire lifecycle through an autonomous evolution algorithm and a distributed verification network.

[0042] The four-dimensional survival control layer is implemented by the following steps: The autonomous evolution algorithm includes: Input: Technical environment monitoring signal Coding body health Survival strategy P; Status assessment: Defining the survival risk index: , It is the product of the weighted sum and the adjustment factor; The difference between the current mainstream format and the format used in the encoding body is calculated as the cosine distance between the feature vectors of the current mainstream format and the feature vectors of the format used in STE. The value range is [0,1], where 1 indicates that they are completely different. The discontinuation period for critical read / write hardware (such as specific lasers). = min(1.0, Years_Since_EOL / T). Where Years_Since_EOL is the number of years since the hardware was discontinued, and T is the risk saturation threshold (e.g., set to 10 years). When discontinuation exceeds 10 years, the risk value reaches its maximum of 1.0. The age of the encoded body since the last verification; For weight parameters, weight The value is determined using the analytic hierarchy process (AHP) combined with expert scoring. For example, initial reference values ​​are set as follows: =0.5, =0.3, =0.2.

[0043] Evolutionary decision: When RI exceeds the threshold At that time, evolution is triggered; threshold It is not a fixed value, but rather dynamically adjusted through reinforcement learning. AEC gradually optimizes based on feedback from the "cost" (resource consumption) and "benefit" (risk reduction) of each evolutionary operation. Values ​​are used to form adaptive strategies.

[0044] The evolutionary process includes: Utilizing the code body contained Using the latest version of the STEP algorithm, the original resources and metadata are decoded; C1. Verify the integrity and authenticity of the resources.

[0045] C2. The latest STEP algorithm is invoked, combining the original timestamp τ with new technological environmental characteristics to generate a new generation of spatiotemporal coded body (STE). Key point: The original timestamp τ is inherited as a "birth certificate," ensuring the continuity of historical links.

[0046] C3, Output: The new generation STE is written to the new holographic storage location and the record is updated on the verification network.

[0047] The distributed verification network, inspired by blockchain but tailored for storage, is a non-financial distributed ledger used to record the life status and evolution history of all Storage Entities (STEs). It includes archiving nodes (holding physical storage), verification nodes (performing spot checks), and auditing nodes (supervising the entire chain). Periodically (e.g., annually), it randomly selects one-thousandth of STEs for optical probing and decoding verification. The verification process includes: reading holographic points, decoding the STE, calculating hashes, and comparing metadata records. Any node gains "life points" by successfully completing the verification task and receiving confirmation from other nodes. Nodes with higher points gain the right to record new blocks. Blocks do not record transactions, but rather life health reports, evolution events, and anomaly alerts. Nodes communicate point-to-point via dedicated secure channels (using the national cryptographic SM2 / SM3 algorithm). The physical holographic storage array is connected to the nearest verification node via a fiber optic network, receiving probing commands and returning optical signals.

[0048] The latest STEP algorithm specifically includes: in It is the frequency with which elements i and j logically co-occur (such as on the same page of a website). It is the frequency of element i. The frequency of element j.

[0049] A mobile terminal includes a mobile terminal body and a controller, characterized in that: the controller includes a memory, a processor and a computer program stored in the memory and executable on the memory, wherein the processor executes the program to implement the steps of a long-term preservation, management and storage system for Internet resources.

[0050] Working principle: Phase 1: Solved the problems of data ingestion and initial solidification. Through the STEP algorithm, resources are transformed into a "spatial-temporal code" (STE) with embedded decoding logic that does not depend on the external environment. Then, by utilizing the holographic storage characteristics of quantum dot glass, it is converted into a stable physical form (grating) in one go, realizing information tamper-proofing and long media life.

[0051] Phase Two: Resolved the issue of state trustworthiness during the lifecycle. The system conducts publicly auditable random checks (active verification) on massive offline storage through a Distributed Verification Network (DSVN), while continuously monitoring changes in the technical environment (passive monitoring) through an Autonomous Evolutionary Controller (AEC), comprehensively assessing risks.

[0052] Phase Three: This phase addresses the readability regeneration issue caused by outdated technology. When the risk reaches a threshold, the system proactively triggers an evolutionary process: decoding the original STE, re-encoding it using the latest algorithms, and generating a new generation of STE. This process inherits the original timestamp, ensuring historical continuity, and then solidifies the new STE, initiating a new lifecycle and forming a sustainable "encoding-solidification-monitoring-evolution" closed loop.

[0053] It should be understood that the above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. It should not be considered that the specific implementation of the present invention is limited to these descriptions. For those skilled in the art, several simple deductions or substitutions can be made without departing from the concept of the present invention. All equivalent changes or modifications made in accordance with the spirit and essence of the present invention should be covered within the protection scope of the present invention.

Claims

1. A long-term preservation, management, and storage system for internet resources, characterized in that: include: The spatiotemporal coding layer, based on the FPGA main control chip and containing parallelized tensor processing units, transforms digital resources and their metadata and contextual relationships into a spatiotemporal coding body with time self-describing capabilities. The storage unit receives the spatiotemporal encoded data from the spatiotemporal coding layer and permanently solidifies it in an immutable physical form; The four-dimensional persistence control layer dynamically manages the integrity, readability, and authenticity of resources throughout their entire lifecycle through an autonomous evolution algorithm and a distributed verification network.

2. The Internet resource long-term preservation management and storage system according to claim 1, characterized in that: The spatiotemporal coding layer is implemented by the following steps: The original data stream D is decomposed into n sub-vectors according to a predefined dimensional framework. ; For encoding time Generate a unique timestamp τ and use it as a basis vector. The calculation of τ is embedded using an improved mixed-logic clock: ; Define the structural relationship matrix R between the elements within the resource, where The correlation strength between elements i and j is represented by a graph neural network and quantized accordingly. Projecting the subvectors and relation matrix into a multidimensional space, the projection transformation function is: , where Φ is a reversible neural transformation network; Θ is its parameter; Final code M is the minimum metadata, and STE itself is a self-contained mathematical object containing all the information and logic needed to reconstruct the original resource in the future.

3. The long-term preservation, management, and storage system for internet resources according to claim 2, characterized in that: It also includes a persistence control layer that, when a STE needs to be evolved, loads the STE's decoding microcode, decodes the data body to obtain the original resource information, and then re-encodes it using the latest STEP algorithm.

4. The Internet resource long-term preservation management and storage system according to claim 2, characterized in that: The storage unit is written with the control equation: The relationship between the refractive index change Δn(r) of the medium and the recorded light intensity I(r) is as follows: , Where κ is the material sensitivity coefficient, α is the nonlinear coefficient, β is the depth attenuation factor, and z is the depth within the medium.

5. The Internet resource long-term preservation management and storage system according to claim 4, characterized in that: The autonomous evolution algorithm of the four-dimensional survival control layer includes: Input: Technical environment monitoring signal Coding body health Survival strategy P; Status assessment: Defining the survival risk index: , The degree of difference between the current mainstream format and the format used in the encoding body; The discontinuation period for key read / write hardware; The age of the encoded body since the last verification; For weight parameters, weight Determined by combining the Analytic Hierarchy Process (AHP) with expert scoring; Evolutionary decision: When RI exceeds the threshold At that time, evolution is triggered; The distributed verification network includes archive nodes, verification nodes, and audit nodes. Periodically, one-thousandth of the STEs are randomly selected for optical inspection and decoding verification. Any node can obtain survival points by successfully completing the verification task and obtaining confirmation from other nodes. The node with the highest points obtains the right to record new blocks.

6. The Internet resource long-term preservation management and storage system according to claim 5, characterized in that: Evolutionary process include: Utilizing the code body contained Using the latest STEP algorithm, the original resources and metadata are decoded; C1. Verify the integrity and authenticity of the resources. 7.C2. Call the latest STEP algorithm, combine the original timestamp τ with the new technical environment characteristics, and generate a new generation of spatiotemporal coding body STE; C3. Output: The Spatiotemporal Encoder (STE) is written to a new storage unit and the existing record is updated on the verification network.

8. The Internet resource long-term preservation management and storage system according to claim 6, characterized in that: The latest STEP algorithm includes: in It is the frequency at which elements i and j logically co-occur. It is the frequency of element i. The frequency of element j.

9. A mobile terminal, comprising a mobile terminal body and a controller, characterized in that: The controller includes a memory, a processor, and a computer program stored in and executable on the memory. When the processor executes the program, it implements the steps of the system as described in any one of claims 1-7.