Intelligent archival repository data management processing method and system

Abstract

The invention discloses an intelligent archival repository data management processing method and system, and relates to the technical field of data processing, and the method comprises the steps: analyzing the basic information of an archive, determining the grade of the archive, and generating a unique recognition identity; performing partition storage on the archive according to the unique identification identity, wherein each storage partition is provided with an independent monitoring management level, an independent monitoring management target and an independent monitoring management configuration parameter; configuring an environment sensor array of the archival repository based on the monitoring management target, and performing initialization according to the monitoring management configuration parameters; performing continuous environment monitoring on the archival repository through the environment sensor array to obtain environment monitoring data; performing multi-dimensional risk analysis based on the emergency knowledge base, and generating a risk response instruction set including a risk early warning level and a response plan; and executing data management of the archival repository according to the risk response instruction set. Therefore, the technical effects of improving the management flexibility and adaptability, and improving the management efficiency and the data security level are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a method and system for managing and processing data in a smart archives storage. Background Art

[0002] In traditional archives storage management, the storage and management of archives mainly rely on manual operations, and the recording and retrieval efficiency of archive information is relatively low. At the same time, the environmental monitoring of the archives storage is mostly statically set, and the importance and access frequency of the archives are not fully considered, resulting in a lack of pertinence in management strategies and an inability to quickly adapt to complex and changeable environments and changes in archive status. There are technical problems such as a single management mode, low management efficiency, and affecting data security. Summary of the Invention

[0003] Aiming at the technical problems of high latency, lack of real-time performance, incomplete monitoring, and insufficient predictability in the prior art, the present invention provides a method and system for managing and processing data in a smart archives storage to solve these problems.

[0004] The technical solutions of the present invention for solving the above technical problems are as follows: In a first aspect, the present invention provides a method for managing and processing data in a smart archives storage, wherein the method includes: Analyze the basic information of the archives and determine the archive level based on a preset classification rule, and generate a unique identification identity including a two-dimensional code and / or an RFID tag.

[0005] Store the archives in partitions according to the unique identification identity, wherein each storage partition is configured with an independent monitoring and management level, corresponding monitoring and management objectives, and monitoring and management configuration parameters.

[0006] Configure an environmental sensor array for the archives storage based on the monitoring and management objectives, and perform monitoring initialization according to the monitoring and management configuration parameters.

[0007] Continuously monitor the environment of the archives storage through the environmental sensor array to obtain environmental monitoring data.

[0008] Execute multi-dimensional risk analysis based on a pre-constructed emergency knowledge base to generate a risk response instruction set including a risk warning level and a risk response plan.

[0009] Manage the data of the archives storage according to the risk response instruction set.

[0010] In a second aspect, the present invention further provides a system for managing and processing data in a smart archives storage, wherein the system includes: An identity generation module, configured to analyze the basic information of the archives and determine the archive level based on a preset classification rule, and generate a unique identification identity including a two-dimensional code and / or an RFID tag.

[0011] The partitioned storage configuration module is used to store archives in partitions according to the unique identification identity. Among them, each storage partition is configured with an independent monitoring and management level, corresponding monitoring and management objectives, and monitoring and management configuration parameters.

[0012] The monitoring initialization module is used to configure the environmental sensor array of the archive warehouse based on the monitoring and management objectives, and perform monitoring initialization according to the monitoring and management configuration parameters.

[0013] The monitoring and data acquisition module is used to continuously monitor the environment of the archive warehouse through the environmental sensor array and obtain environmental monitoring data.

[0014] The risk analysis module is used to perform multi-dimensional risk analysis based on a pre-built emergency knowledge base and generate a risk response instruction set including a risk warning level and a risk response plan.

[0015] The data management module is used to manage the data of the archive warehouse according to the risk response instruction set.

[0016] The beneficial effects of the present invention are as follows: By parsing the basic information of the archives and determining the archive level based on the preset grading rules, a unique identification identity including a two-dimensional code and / or an RFID tag is generated; The archives are stored in partitions according to the unique identification identity. Among them, each storage partition is configured with an independent monitoring and management level, corresponding monitoring and management objectives, and monitoring and management configuration parameters; The environmental sensor array of the archive warehouse is configured based on the monitoring and management objectives, and monitoring initialization is performed according to the monitoring and management configuration parameters; Continuously monitor the environment of the archive warehouse through the environmental sensor array and obtain environmental monitoring data; Perform multi-dimensional risk analysis based on a pre-built emergency knowledge base and generate a risk response instruction set including a risk warning level and a risk response plan; Manage the data of the archive warehouse according to the risk response instruction set. A smart archive warehouse data management processing method and system disclosed by the present invention solve the technical problems of high latency, lack of real-time performance, incomplete monitoring, and insufficient predictability, and achieve the technical effects of improving management flexibility and adaptability, and enhancing management efficiency and data security level. Description of the Drawings

[0017] Figure 1 It is a schematic flowchart of a smart archive warehouse data management processing method of the present invention.

[0018] Figure 2 It is a schematic structural diagram of a smart archive warehouse data management processing system of the present invention.

[0019] In the drawings, the components represented by each reference numeral are described as follows: Identity generation module 11, partition storage configuration module 12, monitoring initialization module 13, monitoring and data acquisition module 14, risk analysis module 15, data management module 16. Detailed implementation manners

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0021] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes, and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of the described features. In the description of the present invention, "a plurality of" means two or more, unless otherwise specifically defined.

[0022] In the description of the present invention, the term "for example" is used to mean "serving as an example, illustration, or explanation". Any embodiment described as "for example" in the present invention is not necessarily construed as being more preferred or having more advantages than other embodiments. In order for any person skilled in the art to implement and use the present invention, the following description is given. In the following description, details are set forth for the purpose of explanation. It should be understood that those of ordinary skill in the art can recognize that the present invention can be implemented without using these specific details. In other instances, well-known structures and processes are not described in detail to avoid unnecessary details from obscuring the description of the present invention. Therefore, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

[0023] Embodiment 1, as Figure 1 is a flowchart of a data management and processing method for an intelligent archive storage room of the present invention. Among them, the method includes: Analyze the basic information of the archive and determine the archive level based on a preset classification rule, and generate a unique identification identity including a two-dimensional code and / or an RFID tag.

[0024] Specifically, first, extract and analyze the original data of the archives to obtain the basic information of the archives, including key information such as the name, source, generation time, content summary, etc. of the archives; then, classify the archives according to the preset classification rules and the obtained basic information of the archives to determine their levels; then, generate a unique identification identity for each archive, namely a QR code and / or an RFID tag, according to the determined archive level and the obtained basic information of the archives.

[0025] Specifically, the preset classification rules are classification criteria formulated according to dimensions such as the importance, confidentiality, and usage frequency of the archives; the QR code and the RFID tag are two technical means for identifying the identity of the archives. Among them, the QR code quickly reads information through image recognition technology, while the RFID tag uses radio frequency technology to achieve non-contact identification, with higher automation and security.

[0026] Through the above steps, the rapid classification and identification of the archives are realized, ensuring the uniqueness and accuracy of the classification and identification of the archives, and providing a basis for subsequent partition storage and dynamic management.

[0027] In some embodiments, parsing the basic information of the archives and determining the archive level based on the preset classification rules, and generating a unique identification identity including a QR code and / or an RFID tag includes: Extract the archive element information through an optical character recognition device, where the archive element information at least includes the formation date, the responsible person, and the subject term; input the element information into a classification decision model to calculate the archive value score; determine the archive level according to a preset score interval mapping table, and according to the archive level, call a differentiated identification coding rule to generate the unique identification identity, where the unique identification identity at least encodes the archive number, the classification code, and the confidentiality level information.

[0028] Specifically, first, use an optical character recognition device to extract the element information on the archive cover through optical character recognition technology, including the formation date, the responsible person, the subject term, the name, the source, the content summary, etc., as the basis for archive classification and management; then, input these element information into a classification decision model to calculate the value score of the archives, where the classification decision model includes a mathematical model based on preset classification rules, a mapping model constructed based on regression analysis or machine learning, etc.; then, determine the level of the archives according to a preset score interval mapping table, and call a differentiated identification coding rule according to the archive level to generate a unique identification identity including the archive number, the classification code, and the confidentiality level information.

[0029] Specifically, the preset scoring range mapping table defines the scoring ranges of file values corresponding to different file levels, and each file level corresponds to a corresponding identification coding rule. Exemplarily, for higher-level files, both QR codes and RFID tags are used to generate unique identification of the identity; for general-level files, only RFID tags are used to generate unique identification of the identity; for the lowest-level files, only QR codes are used to generate unique identification of the identity. By generating unique identification in a differentiated manner, this step achieves refined and dynamic file management, improves management efficiency and data security levels, and also takes into account cost-effectiveness.

[0030] For the above method steps, by using optical character recognition technology to extract file information, the key elements of the file can be obtained quickly and accurately, reducing the errors of manual operations; based on the file value scoring and level division of the hierarchical decision-making model, refined management of the file is achieved, ensuring that important files are given more priority protection and management. The generated unique identification (QR code and / or RFID tag) not only facilitates the quick retrieval and positioning of the file, but also effectively prevents the loss or misoperation of the file.

[0031] The files are stored in partitions according to the unique identification. Among them, each storage partition is configured with an independent monitoring and management level, corresponding monitoring and management objectives, and monitoring and management configuration parameters.

[0032] Specifically, the files are assigned to different storage areas according to their unique identification to achieve partition storage. Among them, each area is independently managed according to the importance and usage frequency of the file, and corresponds to corresponding monitoring and management objectives and monitoring and management configuration parameters; among them, the monitoring and management objective refers to the management effect that each partition needs to achieve, such as security, integrity, and accessibility; the monitoring and management configuration parameter refers to the specific parameter set to achieve the management objective, such as the environmental monitoring frequency, access permission, etc.

[0033] Exemplarily, high-level files are stored in areas with higher security and are configured with more stringent environmental monitoring and access permissions; low-level files are stored in ordinary areas with lower monitoring frequencies; at the same time, each partition is set with specific monitoring and management configuration parameters according to the management objectives, such as temperature and humidity monitoring frequencies, anti-insect and moisture-proof measures, etc. Through the above partition storage and differentiated management, the security and accessibility of the files can be ensured, while optimizing the allocation of management resources and improving the flexibility and adaptability of file management.

[0034] In some embodiments, the files are stored in partitions according to the unique identification. Among them, each storage partition is configured with an independent monitoring and management level, corresponding monitoring and management objectives, and monitoring and management configuration parameters, and further includes: Based on the unique identification, construct an archive index structure based on multi-dimensional feature vectors, where the multi-dimensional feature vectors include a time dimension, a subject dimension, and an associated archive relationship dimension; based on the archive index structure, store the archives into corresponding storage partitions, where each storage partition is marked with archive subject information; record the archive storage transfer links, generate operation event logs, and store the hash value of the operation event logs in the distributed ledger of the archive repository.

[0035] Specifically, the archive index structure refers to an archive index constructed based on multi-dimensional feature vectors, which is used for quickly retrieving and locating archives; the distributed ledger refers to a decentralized data storage form, which is used to achieve the immutability and traceability of data through technologies such as blockchain.

[0036] Specifically, first, generate multi-dimensional feature vectors of the archives according to the unique identification. The multi-dimensional feature vectors include a time dimension (such as the formation date), a subject dimension (such as the archive subject content), and an associated archive relationship dimension (such as the relevance to other archives), which are used to describe the feature information of multiple dimensions of the archives; then, establish an archive index structure identified in the form of vectors, and this index structure has a hierarchical index architecture, which helps to improve the indexing efficiency.

[0037] Specifically, based on the archive index structure, the system stores the archives into corresponding storage partitions, where each partition is marked according to the subject information of the archives, which is convenient for management and retrieval; in addition, record the storage transfer links of the archives, generate operation event logs, and store the hash value of the logs in the distributed ledger of the archive repository, so as to ensure the traceability of operations and the immutability of data.

[0038] By constructing an archive index structure based on multi-dimensional feature vectors, the above steps can achieve the quick retrieval and location of archives; the partition storage based on the archive index structure makes the storage of archives more orderly and scientific, which is convenient for management and maintenance; at the same time, recording the archive storage transfer links and generating operation event logs, combined with the distributed ledger technology, ensures the traceability of archive operations and the immutability of data, and further improves the security and credibility of archive management.

[0039] Configure an environmental sensor array for the archive repository based on the monitoring and management objectives, and perform monitoring initialization according to the monitoring and management configuration parameters.

[0040] Specifically, the monitoring and management objectives refer to the specific objectives of environmental monitoring and management set according to the importance and storage requirements of the archives, such as controlling the temperature and humidity range, light intensity standard, etc.; the environmental sensor array refers to a monitoring and sensing component composed of multiple sensors, which is used to collect environmental data in the archive storage room in real time, such as temperature, humidity, harmful gas concentration, etc.; the monitoring and management configuration parameters refer to the specific parameters set to achieve the monitoring and management objectives, such as monitoring frequency, data acquisition interval, alarm threshold, etc. Different levels of archives correspond to different monitoring and management configuration parameters.

[0041] Specifically, according to the monitoring and management objectives of each storage partition, the corresponding environmental sensor array is configured. For example, for the high-level archive storage partition, high-precision temperature and humidity sensors, air quality sensors, etc. are configured to ensure the stability of the archive storage environment. For the low-level archive storage partition, the types or quantities of sensors can be adaptively reduced. Then, the configured sensor array is monitored and initialized according to the monitoring and management configuration parameters, including setting the monitoring frequency, data acquisition interval, etc. of the sensors. Through the above steps, the adaptive monitoring and acquisition of different levels of archive storage partitions can be achieved, which helps to balance the monitoring and acquisition energy efficiency and data security, and realize the precise monitoring and control of the archive storage room environment.

[0042] Continuous environmental monitoring of the archive storage room is carried out through the environmental sensor array to obtain environmental monitoring data.

[0043] Furthermore, the environmental sensor array that has been configured and initialized continuously collects and records the environmental data of the archive storage room to understand the changes in the archive storage environment in real time. Among them, the environmental monitoring data includes various environmental parameters such as temperature, humidity, and air quality in the archive storage room. Through continuous monitoring, it helps to detect environmental anomalies in time, such as too high temperature, unsuitable humidity, etc., and then take corresponding measures, such as turning on equipment such as air conditioners and dehumidifiers to adjust the environmental parameters of the archive storage room to ensure the stability and security of the archive storage environment.

[0044] Preferably, the environmental monitoring data collected by the environmental sensor array is transmitted back by wired or wireless means, and the data integrity is verified through the hash value to ensure the security and reliability of the environmental monitoring data during the transmission process.

[0045] Execute multi-dimensional risk analysis based on the pre-constructed emergency knowledge base to generate a risk response instruction set including risk warning levels and risk response plans.

[0046] Specifically, an emergency knowledge base refers to a pre - constructed data resource library that contains various types of risk information, risk types, risk levels, risk characteristics, major hazard source information, hidden danger information, etc.; the risk warning level is a quantitative level divided according to the severity and urgency of the risk. Exemplarily, it can be represented by colors (such as red, orange, yellow, blue) or numbers.

[0047] Specifically, a risk response plan is a response measure and plan formulated in advance for different risk levels; the risk response instruction set refers to an instruction set that contains the risk warning level and the corresponding risk response plan, and is used to guide the risk response work in the archival repository.

[0048] In some embodiments, before performing multi - dimensional risk analysis based on a pre - constructed emergency knowledge base to generate a risk response instruction set that includes a risk warning level and a risk response plan, it includes: Obtain case risk events and establish a disposal case library. Among them, the case risk events include an environmental parameter sequence, a risk level, disposal measures, and a disposal effect evaluation; use the environmental parameter sequence as a sample input and the risk level as supervision to construct and train an emergency plan decision tree; integrate the disposal case library and the emergency plan decision tree, and the output is the emergency knowledge base.

[0049] Specifically, before performing multi - dimensional risk analysis based on a pre - constructed emergency knowledge base, first obtain case risk events and establish a disposal case library. Among them, case risk events refer to risk events related to the archival repository that have occurred in history, including information such as an environmental parameter sequence, a risk level, disposal measures, and a disposal effect evaluation, which provide a data basis for subsequent analysis and model training. Among them, the environmental parameter sequence refers to the environmental data when the risk event occurs, such as a data string of temperature, humidity, harmful gas concentration, etc. that changes over time.

[0050] Specifically, further use the environmental parameter sequence as a sample input and the risk level as supervision to construct and train an emergency plan decision tree. In other words, the emergency plan decision tree forms a tree - like structure for risk prediction and decision - making by learning the relationship between the environmental parameter sequence and the risk level. Finally, integrate the disposal case library and the emergency plan decision tree to form an emergency knowledge base. This emergency knowledge base not only contains detailed information on historical risk events and corresponding disposal measures, but also has the ability of risk prediction and decision - making based on a machine - learning model.

[0051] The above method steps provide rich historical data support for the construction of the emergency knowledge base by obtaining case risk events and establishing a disposal case library, enabling risk analysis to be based on actual cases, improving the accuracy and reliability of risk assessment. Among them, the constructed and trained emergency plan decision tree learns the relationship between the environmental parameter sequence and the risk level, and has the ability of risk prediction and decision-making, further enhancing the intelligent level of risk analysis.

[0052] Specifically, multi-dimensional risk analysis is performed based on the pre-constructed emergency knowledge base. First, environmental monitoring data is input into the emergency plan decision tree to evaluate the risk warning level; then, according to the obtained risk warning level, the corresponding level of disposal plan is matched from the disposal case library as the response plan. This process realizes an automated decision-making process from risk perception to risk assessment and then to the generation of risk response plans. Extracting the risk response plan from the disposal case library can quickly provide effective countermeasures when a risk occurs, reducing risk losses and handling time.

[0053] Manage the data in the archive repository according to the risk response instruction set.

[0054] Specifically, the data management system or the management personnel manage and protect the data in the archive repository according to the risk warning level and the risk response plan in the risk response instruction set. For example, when it is detected that there is a fire risk in the archive repository and the risk warning level is a red warning, relevant personnel are evacuated, the fire extinguishing device (such as a gas extinguishing system) is automatically activated, and relevant personnel are notified at the same time. The execution of the risk response instruction set can ensure that the archive repository can quickly take effective measures when a risk occurs, reduce the damage of the risk to the data, and ensure the safe and stable operation of the archive repository.

[0055] In some embodiments, partitioning and storing the archives according to the unique identification identity further includes: Generate a list of key archives, where the list of key archives is dynamically updated based on the archive level and access frequency; perform identification and entry according to the list of key archives to obtain digital archive backup data; configure and update the backup period constraint and the update backup trigger constraint corresponding to the list of key archives, and perform backup management of the digital archive backup data according to the updated backup period constraint and the updated backup trigger constraint.

[0056] Specifically, the list of key archives refers to an archive list dynamically generated according to the importance and access frequency of the archives, which is used to identify the archives that need to be focused on and protected; the digital archive backup data refers to the data copy obtained by converting the content of the key archives into an electronic form through scanning, photographing or other digital technologies and storing it, which is used for redundant backup of the archive content.

[0057] Specifically, the update backup period constraint refers to the set regular backup time interval, which is used to update the status of the backup data of critical files periodically; the update backup trigger constraint is an operation mechanism that triggers backup under specific conditions, such as backing up file data when the file content changes or the access frequency increases.

[0058] Furthermore, configure the update backup period constraint and the update backup trigger constraint based on the critical file list, and manage the backup of the digital file backup data. Exemplarily, for high-level critical files, a shorter update backup period (such as once a month) can be set, and the backup operation can be automatically triggered when the file content is updated to ensure that the backup data of critical files is always in the latest state and improve the security and reliability of the files.

[0059] Through the above process, not only the dynamic management and protection of critical files are realized, but also the security of file data is further enhanced through the backup management mechanism, ensuring that the file content can be quickly restored in case of an accident.

[0060] In some implementation manners, perform backup management on the digital file backup data according to the update backup period constraint and the update backup trigger constraint, wherein the update backup trigger constraint includes: The first trigger constraint based on file invocation, which is used to trigger priority backup when the invocation times within a unit time exceed the first threshold, where the first threshold is a positive integer greater than or equal to 1; the second trigger constraint based on data risk, which is used to perform data backup update in the order of the critical file list when the risk warning level is higher than the preset threshold.

[0061] Specifically, the update backup trigger constraint includes the first trigger constraint based on file invocation and the second trigger constraint based on data risk; the first trigger constraint based on file invocation means that when the invocation times of a file within a unit time exceed the set first threshold, a priority backup operation is triggered, where the first threshold is a positive integer greater than or equal to 1, representing the critical value of the invocation times, and is used to judge whether the usage frequency of the file is high enough to require priority backup; the second trigger constraint based on data risk is used to perform data backup update according to the order of the critical file list when the risk warning level exceeds the preset threshold to ensure data security.

[0062] Exemplarily, the first trigger constraint can be configured as: when the invocation times of a certain file within a unit time (such as one week) exceed the set first threshold (such as 5 times), the priority backup operation is automatically triggered, and the latest data of the file is backed up to a secure storage location, ensuring that files with high usage frequency can be updated and backed up in time and reducing the risk of data loss caused by frequent invocation.

[0063] Exemplarily, the first trigger constraint can be configured such that when the risk assessment system detects that the risk warning level of the archive storage is higher than a preset threshold (such as medium to high risk), the backup data is updated in sequence according to the order of the critical file list, that is, the high-level files in the critical file list are preferentially backed up to ensure that critical data can be quickly restored in case of a risk.

[0064] In some embodiments, the method further includes: Making a transient environmental regulation decision based on the environmental monitoring results to obtain a first risk response plan; obtaining a column of environmental monitoring data based on the environmental monitoring data and historical environmental monitoring data; performing trend analysis on the column of environmental monitoring data to obtain expected environmental data after a preset window length, and making a transient environmental regulation decision based on the expected environmental data to obtain a second risk response plan; fusing the first risk response plan and the second risk response plan to obtain the risk response plan.

[0065] Specifically, the transient environmental regulation decision is a process of quickly making an environmental regulation decision according to the current environmental monitoring results or expected environmental data, corresponding to the immediate environmental changes in the archive storage.

[0066] Specifically, the column of environmental monitoring data refers to a sequence formed by arranging the current environmental monitoring data and historical environmental monitoring data in chronological order for analyzing the environmental change trend; the preset window length is the time period length for trend analysis, that is, the scope of trend analysis; the expected environmental data is the environmental data at a future time point predicted through trend analysis for formulating a regulation strategy in advance.

[0067] Specifically, first, a transient environmental regulation decision is made based on the current environmental monitoring results to generate a first risk response plan. For example, when it is detected that the temperature in the archive storage suddenly rises, the first risk response plan is to immediately start the air conditioner for cooling, which is an immediate response based on the current monitoring results. Then, the current environmental monitoring data and historical environmental monitoring data are combined to form a column of environmental monitoring data, and by performing trend analysis on the data column, the expected environmental data after the preset window length is predicted. For example, analyzing the temperature data of the past week to predict the temperature change trend within the next 24 hours. Then, based on the expected environmental data, a transient environmental regulation decision is made again to generate a second risk response plan. For example, if it is predicted that the temperature will continue to rise within the next 24 hours, the operation mode of the air conditioner is adjusted in advance to ensure the stability of the environment in the archive storage.

[0068] Further, the first risk response plan and the second risk response plan are fused to generate a final risk response plan. Through the fusion mechanism, the advantages of immediate response and predictive response can be combined, enabling a more comprehensive response to environmental changes, which helps to improve the long-term stability and security of the environmental management in the archive storage.

[0069] In summary, the intelligent archive storage data management and processing method provided by the present invention has the following technical effects: By parsing the basic information of the archives and determining the archive level based on a preset classification rule, a unique identification identity including a two-dimensional code and / or an RFID tag is generated; the archives are stored in partitions according to the unique identification identity, wherein each storage partition is configured with an independent monitoring and management level, corresponding monitoring and management objectives, and monitoring and management configuration parameters; an environmental sensor array of the archive storage is configured based on the monitoring and management objectives, and monitoring initialization is performed according to the monitoring and management configuration parameters; continuous environmental monitoring of the archive storage is performed through the environmental sensor array to obtain environmental monitoring data; multi-dimensional risk analysis is performed based on a pre-constructed emergency knowledge base to generate a risk response instruction set including a risk warning level and a risk response plan; and data management of the archive storage is performed according to the risk response instruction set, thereby achieving the technical effects of improving management flexibility and adaptability and enhancing management efficiency and data security level.

[0070] Embodiment 2 Figure 2 It is a schematic structural diagram of an intelligent archive storage data management and processing system of the present invention. For example, Figure 1 The flow schematic diagram of an intelligent archive storage data management and processing method of the present invention can be implemented by a structure as shown in Figure 2 shown.

[0071] Based on the same concept as the intelligent archive storage data management and processing method in the above embodiment, an intelligent archive storage data management and processing system provided by the present invention further includes: An identity generation module 11, configured to parse the basic information of the archives and determine the archive level based on a preset classification rule, and generate a unique identification identity including a two-dimensional code and / or an RFID tag.

[0072] A partition storage configuration module 12, configured to store the archives in partitions according to the unique identification identity, wherein each storage partition is configured with an independent monitoring and management level, corresponding monitoring and management objectives, and monitoring and management configuration parameters.

[0073] A monitoring initialization module 13, configured to configure an environmental sensor array of the archive storage based on the monitoring and management objectives, and perform monitoring initialization according to the monitoring and management configuration parameters.

[0074] A monitoring and data acquisition module 14, configured to perform continuous environmental monitoring of the archive storage through the environmental sensor array to obtain environmental monitoring data.

[0075] A risk analysis module 15, configured to perform multi-dimensional risk analysis based on a pre-constructed emergency knowledge base, and generate a risk response instruction set including a risk warning level and a risk response plan.

[0076] A data management module 16 for managing the data in the archive repository according to the risk response instruction set.

[0077] In some embodiments, the identity generation module 11 includes: An archive element information extraction unit for extracting archive element information through an optical character recognition device, where the archive element information at least includes a formation date, a responsible person, and a subject term.

[0078] An archive value scoring calculation unit for inputting the element information into a hierarchical decision model to calculate the archive value score.

[0079] An archive level determination and unique identification identity generation unit for determining the archive level according to a preset score interval mapping table, and calling a differentiated identification coding rule according to the archive level to generate the unique identification identity, where the unique identification identity at least encodes an archive number, a classification code, and confidentiality level information.

[0080] In some embodiments, the partitioned storage configuration module 12 includes: An archive index structure construction unit for constructing an archive index structure based on multi-dimensional feature vectors according to the unique identification identity, where the multi-dimensional feature vectors include a time dimension, a subject dimension, and an associated archive relationship dimension.

[0081] An archive storage partition configuration unit for storing archives into corresponding storage partitions based on the archive index structure, where each storage partition is marked with archive subject information.

[0082] An operation event log generation and storage unit for recording the archive storage transfer link, generating an operation event log, and storing the hash value of the operation event log in the distributed ledger of the archive repository.

[0083] In some embodiments, the risk analysis module 15 includes: A case risk event acquisition and disposal case library establishment unit for acquiring case risk events and establishing a disposal case library, where the case risk events include an environmental parameter sequence, a risk level, disposal measures, and a disposal effect evaluation.

[0084] An emergency plan decision tree construction and training unit for constructing and training an emergency plan decision tree with the environmental parameter sequence as a sample input and the risk level as supervision.

[0085] An emergency knowledge base output unit for integrating the disposal case library and the emergency plan decision tree and outputting an emergency knowledge base.

[0086] In some embodiments, the partitioned storage configuration module 12 further includes: A critical file list generation unit for generating a critical file list, wherein the critical file list is dynamically updated based on file levels and access frequencies.

[0087] A digital file backup data acquisition unit for identifying and inputting according to the critical file list to obtain digital file backup data.

[0088] A backup management configuration and execution unit for correspondingly configuring and updating the backup cycle constraint and the update backup trigger constraint based on the critical file list, and performing backup management of the digital file backup data according to the updated backup cycle constraint and the updated backup trigger constraint.

[0089] In some implementation manners, the update backup trigger constraint in the partition storage configuration module 12 includes: A first trigger constraint based on file calls, used to trigger priority backup when the number of calls within a unit time exceeds a first threshold, where the first threshold is a positive integer greater than or equal to 1.

[0090] A second trigger constraint based on data risks, used to perform data backup update in the order of updating the critical file list when the risk warning level is higher than a preset threshold.

[0091] In some embodiments, the system further includes: A transient environment regulation decision unit for making transient environment regulation decisions according to the environmental monitoring results to obtain a first risk response plan.

[0092] An environmental monitoring data column acquisition unit for obtaining an environmental monitoring data column based on the environmental monitoring data and historical environmental monitoring data.

[0093] A trend analysis and transient regulation decision unit for performing trend analysis according to the environmental monitoring data column to obtain expected environmental data after a preset window length, and making transient environment regulation decisions according to the expected environmental data to obtain a second risk response plan.

[0094] A risk response plan fusion unit for fusing the first risk response plan and the second risk response plan to obtain the risk response plan.

[0095] It should be noted that in the above embodiments, the descriptions of the various embodiments have their own focuses. For parts not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0096] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that contain computer-usable program code.

[0097] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, as well as the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0098] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including instruction means that realizes the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0099] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, so that the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0100] Although the preferred embodiments of the present invention have been described, those skilled in the art can make additional changes and modifications to these embodiments once they learn the basic inventive concept.

[0101] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technologies, the present invention is also intended to include these changes and modifications.

Claims

1. A method for managing and processing data in a smart archive warehouse, characterized in that: The method comprises: Analyze the basic information of the archive and determine the archive level based on the preset classification rules, and generate a unique identification including a QR code and / or RFID tag; The archive is partitioned and stored according to the unique identification, wherein each storage partition is configured with an independent monitoring management level and corresponding monitoring management target and monitoring management configuration parameters; Based on the monitoring and management target, an environmental sensor array of the archive warehouse is configured, and monitoring initialization is performed according to the monitoring and management configuration parameters; Continuously monitor the environment of the archive warehouse through the environmental sensor array to obtain environmental monitoring data; Perform multi-dimensional risk analysis based on the pre-built emergency knowledge base and generate a risk response instruction set including risk warning levels and risk response plans; Data management of the archive warehouse is performed according to the risk response instruction set.

2. A method for managing and processing data in a smart archive warehouse as claimed in claim 1, characterized in that: Parse the basic information of the archive and determine the archive level based on the preset classification rules, and generate a unique identification containing a QR code and / or RFID tag, including: Extracting archive element information by an optical character recognition device, wherein the archive element information at least includes a creation date, a responsible person, and a subject word; Inputting the element information into a hierarchical decision-making model to calculate the archive value score; The file level is determined according to a preset scoring interval mapping table, and according to the file level, differentiated identification coding rules are called to generate the unique identification identity, wherein the unique identification identity encodes at least the file number, classification code and confidentiality level information.

3. A method for managing and processing data in a smart archive warehouse as claimed in claim 2, characterized in that: The archive is partitioned and stored according to the unique identification, wherein each storage partition is configured with an independent monitoring management level and corresponding monitoring management target, monitoring management configuration parameters, and also includes: According to the unique identification, constructing an archive index structure based on a multidimensional feature vector, wherein the multidimensional feature vector includes a time dimension, a subject dimension, and an associated archive relationship dimension; Based on the archive index structure, the archive is stored in a corresponding storage partition, wherein each storage partition is marked with archive subject information; Record the archive storage circulation link, generate an operation event log, and store the hash value of the operation event log in the distributed ledger of the archive warehouse.

4. A method for managing and processing data in a smart archive warehouse as claimed in claim 3, characterized in that: Perform multi-dimensional risk analysis based on the pre-built emergency knowledge base to generate a risk response instruction set including risk warning levels and risk response plans. Previously, it included: Obtain case risk events and establish a disposal case library, wherein the case risk events include environmental parameter sequences, risk levels, disposal measures and disposal effect evaluations; Using the environmental parameter sequence as sample input and the risk level as supervision, constructing and training an emergency plan decision tree; The handling case library and the emergency plan decision tree are integrated and output as an emergency knowledge base.

5. A method for managing and processing data in a smart archive warehouse as claimed in claim 1, characterized in that: Partitioning and storing the archives according to the unique identification identity also includes: generating a key profile list, wherein the key profile list is dynamically updated based on profile levels and access frequencies; Identify and enter the key archive list to obtain digital archive backup data; Based on the key archive list, a backup cycle constraint and a backup trigger constraint are configured accordingly, and backup management of the digital archive backup data is performed according to the backup cycle constraint and the backup trigger constraint.

6. A method for managing and processing data in a smart archive warehouse as claimed in claim 5, characterized in that: The backup management of the digital archive backup data is performed according to the update backup cycle constraint and the update backup trigger constraint, wherein the update backup trigger constraint includes: A first trigger constraint based on archive call, used to trigger priority backup when the number of calls per unit time exceeds a first threshold, wherein the first threshold is a positive integer greater than or equal to 1; The second trigger constraint based on data risk is used to perform data backup update with the key archive list as the update backup sequence when the risk warning level is higher than a preset threshold.

7. A method for managing and processing data in a smart archive warehouse as claimed in claim 1, characterized in that: The method further comprises: Make a transient environmental control decision based on the environmental monitoring results and obtain a first risk response plan; Based on the environmental monitoring data and historical environmental monitoring data, obtaining an environmental monitoring data column; Performing trend analysis based on the environmental monitoring data column to obtain expected environmental data after a preset window length, and making transient environmental control decisions based on the expected environmental data to obtain a second risk response plan; The first risk response plan and the second risk response plan are integrated to obtain the risk response plan.

8. A smart archive warehouse data management and processing system, characterized in that: The system is used to execute a smart archive warehouse data management and processing method according to any one of claims 1 to 7, and the system includes: An identity generation module is used to parse the basic information of the archive and determine the archive level based on the preset classification rules, and generate a unique identification identity including a QR code and / or an RFID tag; A partition storage configuration module, used for partitioning and storing archives according to the unique identification identity, wherein each storage partition is configured with an independent monitoring management level and corresponding monitoring management target and monitoring management configuration parameters; A monitoring initialization module, used to configure the environmental sensor array of the archive warehouse based on the monitoring management target, and perform monitoring initialization according to the monitoring management configuration parameters; A monitoring and data acquisition module, used to perform continuous environmental monitoring of the archive warehouse through the environmental sensor array and acquire environmental monitoring data; The risk analysis module is used to perform multi-dimensional risk analysis based on the pre-built emergency knowledge base and generate a risk response instruction set including risk warning levels and risk response plans; The data management module is used to manage the data of the archive warehouse according to the risk response instruction set.

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