An electronic management method and system for international standardization organization system documents

Abstract

The present invention relates to the field of data management technology, and specifically to an electronic management method and system for ISO system files, comprising the following steps: based on the recorded ISO system files, collecting the access time, size and frequency information of the files, analyzing the information and the current access mode of the files, and obtaining the file access data. In the present invention, the system can adjust the storage location in real time according to the usage frequency and size of the files, reducing the data retrieval time and optimizing the access path. The real-time update of the file location makes the frequently accessed files closer to the data processing core, effectively reducing the delay of data transmission. By analyzing the future access trend of the files and adjusting the expected access strategy accordingly, not only the adaptability of the system to future needs is improved, but also the backup plan and resource allocation are optimized. The dynamic storage adjustment method can ensure the efficiency of resource allocation, predict resource pre-allocation during high load periods, and effectively prevent system overload.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular to an electronic management method and system for international standardization organization system documents. Background Art

[0002] Data management involves the acquisition, verification, storage, protection, and processing of data to ensure data accessibility, reliability, and timeliness. It includes the creation, storage, maintenance, use, and deletion of data. The field is used in various industries, including financial services, healthcare, government, and education, with the goal of improving the efficiency and decision-making capabilities of organizations by optimizing data processes.

[0003] Among them, the electronic management method of ISO system documents is a method specifically used to manage and maintain ISO system documents. The method processes and stores documents and records related to the documents electronically, making them more systematic and easy to retrieve. The main uses include improving the traceability and security of documents, optimizing the storage and access process of documents, and supporting quality management and compliance audits. Through electronic management, organizations can ensure that their standardized documents are always up to date and can be easily shared with internal and external stakeholders.

[0004] However, existing technologies mainly focus on electronic processing and static storage of files, and are not responsive enough to frequently changing file access patterns and demand adjustments. This may result in suboptimal resource utilization when processing highly variable data streams. For example, resource shortages may occur during unforeseen periods of high access demand. In addition, in terms of predicting future data trends and adjusting backup strategies based on trends, resources cannot be adjusted dynamically at critical moments, affecting the speed and efficiency of data recovery. For example, during unforeseen periods of high demand, it is difficult for the system to effectively allocate sufficient resources, affecting data processing and access speeds, as well as the overall business operating efficiency. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose an electronic management method and system for ISO system documents.

[0006] In order to achieve the above object, the present invention adopts the following technical solution: a method for electronic management of ISO system documents, comprising the following steps:

[0007] S1: Based on the recorded ISO system files, collect the access time, size and frequency information of the files, analyze the information and the current access mode of the files, and obtain the file access data;

[0008] S2: Based on the file access data, prioritize the files, identify the files that need to be processed first, and generate a file priority list;

[0009] S3: reconfigure the file storage layout through the file priority list, move the files that are accessed multiple times to a more prioritized access point, monitor and record the migration operation data, and generate a file location update record;

[0010] S4: Based on the file location update record and historical access data, analyze the future access trend of the file, identify trend changes and access peaks, adjust the expected access strategy of the file according to the analysis content, and generate file access prediction data;

[0011] S5: extracting key information based on the file access prediction data, rearranging the backup schedule and storage resource allocation according to the predicted demand time point, and creating a dynamic storage adjustment plan;

[0012] S6: According to the dynamic storage adjustment plan, perform configuration adjustment operations, including remapping files to new storage areas and enabling new backup plans, to generate optimized file storage configuration.

[0013] The present invention has the following improvements: the file access data includes the access time point, the byte size of the file and the access frequency count of each file; the file priority list includes the file index arranged in order of demand frequency, the associated storage demand and the expected access frequency; the file location update record includes the migration time of each file from the current location to the new location, the storage location before and after the migration and the migration impact assessment; the file access prediction data includes the predicted access pattern diagram, the key time point and the access density growth interval; the dynamic storage adjustment plan includes the adjustment details of the file storage strategy, the optimization setting of the backup cycle and the expected resource reconfiguration; the optimized file storage configuration includes the new file storage path, the updated backup execution time and the adjusted resource utilization.

[0014] The present invention is improved in that, based on the recorded ISO system files, the specific steps of collecting the access time, size and frequency information of the file, analyzing the information and the current access mode of the file, and obtaining the file access data are as follows:

[0015] S101: Based on the recorded ISO system files, collect the access time, size and frequency information of the files to generate a basic access data set;

[0016] S102: Based on the basic access data set, the collected data is cleaned to exclude abnormal values ​​and duplicate records, and a cleaned access data set is generated;

[0017] S103: Based on the cleaned access data set, data analysis is performed to evaluate the current access mode of the file, including multiple access time periods and file size distribution, and generate file access data.

[0018] The present invention is improved in that, based on the file access data, the files are prioritized, the files to be processed first are identified, and the specific steps of generating the file priority list are as follows:

[0019] S201: Calculate the access priority of each file based on the file access data, use the file size and access frequency as key parameters, and generate an initial priority index;

[0020] S202: Based on the initial priority index, a least recently used algorithm is used to sort the file list, optimize the access speed, and generate an adjusted file list;

[0021] S203: Based on the adjusted file list, identify the files to be processed first and generate a file priority list.

[0022] The present invention has the following improvements: by using the file priority list, reconfiguring the file storage layout, moving the files that are accessed multiple times to a more prioritized access point, monitoring and recording the migration operation data, and generating the file location update record:

[0023] S301: Based on the file priority list, all files that have been accessed multiple times are listed, files are designated as migration objects, file selection and marking operations are performed, and identification of files to be migrated is generated;

[0024] S302: performing a migration operation on the file in the to-be-migrated file identifier, including updating a file index and a storage path, and generating a file migration execution record;

[0025] S303: Based on the file migration execution record, monitor the data transmission speed and success rate during the file migration process, and generate a file location update record.

[0026] The present invention is improved in that, based on the file location update record and historical access data, the future access trend of the file is analyzed, trend changes and access peaks are identified, and the expected access strategy of the file is adjusted according to the analysis content. The specific steps of generating file access prediction data are as follows:

[0027] S401: Based on the file location update record and historical access data, using a recurrent neural network, predicting the future access pattern of the file, detecting changes in file access after migration, including frequency increase and decrease and access concentration time period, and generating access frequency change prediction results;

[0028] S402: extracting key time periods and file categories from the access frequency change prediction results, identifying key access peak time periods and file types, and generating key change factor identification results;

[0029] S403: Based on the identification result of the key change factors, adjust the expected access strategy of the file, including optimizing the storage path and backup frequency, and generate file access prediction data.

[0030] The present invention is improved in that the recurrent neural network is according to the formula:

[0031]

[0032] Where E′ represents the total prediction error, n represents the total number of files, and P i represents the predicted number of accesses to the i-th file, A i represents the number of accesses to the i-th file, P i -A i Represents the difference between the predicted value and the current value, F di Represents the document importance index of the i-th file, log(1+F di ) performs logarithmic transformation on the document importance index, S i represents the size of the i-th file, max(S) is the maximum file size observed among all files, and α is a tuning parameter.

[0033] The present invention is improved in that the specific steps of extracting key information based on the file access prediction data, rearranging the backup schedule and storage resource allocation according to the predicted demand time point, and creating a dynamic storage adjustment plan are as follows:

[0034] S501: Based on the file access prediction data, identify key time points and resource allocation requirements, plan resource adjustment and backup time for the predicted peak period, and generate key time point analysis results;

[0035] S502: Acquire data from the analysis results of the key time points, redesign and adjust the backup schedule, and generate adjusted backup and resource configuration;

[0036] S503: Implement the adjusted backup and resource configuration, update the configuration settings of the storage management system, apply the new schedule and resource allocation strategy, and generate a dynamic storage adjustment plan.

[0037] The present invention is improved in that, according to the dynamic storage adjustment plan, the configuration adjustment operation is performed, including remapping files to new storage areas and enabling new backup plans, and the specific steps of generating an optimized file storage configuration are as follows:

[0038] S601: According to the dynamic storage adjustment plan, identify the file that needs to be updated, execute the file update operation, including modifying the storage location of the file, and generate the file mapping update execution record;

[0039] S602: Starting a new backup plan, including setting the time and resources for the backup task, monitoring the execution of the first backup to evaluate the configuration effect, and generating a new backup execution record;

[0040] S603: Analyze the file mapping update execution record and the new backup execution record, analyze the performance of the overall configuration, and generate an optimized file storage configuration.

[0041] An electronic management system for system documents of the International Organization for Standardization, the system comprising:

[0042] The data collection and analysis module collects the access time, size and frequency information of files based on file logs, analyzes the data to reveal the current file access mode, combines historical access data, iteratively analyzes the future access trend of files, and generates file access trend analysis results;

[0043] The priority sorting module prioritizes the files based on the file access trend analysis results, uses the file access frequency and file size as key parameters, selects the files that need to be processed first, and generates a file priority list;

[0044] The storage layout adjustment module uses the file priority list to reconfigure the file storage layout, moves the files that are accessed multiple times to the priority access points, monitors and records the migration operation data, and generates a file location update record;

[0045] The dynamic storage management module adjusts the backup schedule and storage resource allocation based on the file location update record and the file access trend analysis result, and generates a dynamic storage adjustment plan;

[0046] The system configuration implementation module executes the dynamic storage adjustment plan, remaps files to new storage areas, enables new backup plans and monitors the entire process, and generates optimized file storage configuration.

[0047] Compared with the prior art, the advantages and positive effects of the present invention are:

[0048] In the present invention, the system can adjust the storage location in real time according to the frequency of use and size of the file, reducing data retrieval time and optimizing the access path. The real-time update of the file location makes the frequently accessed files closer to the data processing core, effectively reducing the delay of data transmission. By analyzing the future access trend of the file and adjusting the expected access strategy accordingly, not only the adaptability of the system to future needs is improved, but also the backup plan and resource allocation are optimized. The dynamic storage adjustment method can ensure the efficiency of resource allocation, predict resource pre-allocation during high load periods, and effectively prevent system overload. The performance of the file management system and the security of the data are enhanced, making the management process more efficient and accurate. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] Figure 1 A flowchart of an electronic management method of ISO system documents is proposed for the present invention;

[0050] Figure 2 This is a detailed flow chart of step S1 of the present invention;

[0051] Figure 3 This is a detailed flow chart of step S2 of the present invention;

[0052] Figure 4 This is a detailed flow chart of step S3 of the present invention;

[0053] Figure 5 This is a detailed flow chart of step S4 of the present invention;

[0054] Figure 6 This is a detailed flow chart of step S5 of the present invention;

[0055] Figure 7 This is a detailed flow chart of step S6 of the present invention;

[0056] Figure 8 The present invention proposes a module diagram of an electronic management system for system documents of the International Organization for Standardization. DETAILED DESCRIPTION

[0057] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0058] In the description of the present invention, it should be understood that the terms "length", "width", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating positions or positional relationships, are based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the present invention. In addition, in the description of the present invention, the meaning of "multiple" is two or more, unless otherwise clearly and specifically defined.

[0059] See also Figure 1 The present invention provides a technical solution: an electronic management method for international standardization system documents, comprising the following steps:

[0060] S1: Based on the recorded ISO system files, collect the access time, size and frequency information of the files, analyze the information and the current access mode of the files, and obtain the file access data;

[0061] S2: Based on the file access data, prioritize the files, identify the files that need to be processed first, and generate a file priority list;

[0062] S3: Reconfigures the file storage layout through the file priority list, moves frequently accessed files to more prioritized access points, monitors and records migration operation data, and generates file location update records;

[0063] S4: Based on the file location update records and historical access data, analyze the future access trend of the file, identify trend changes and access peaks, adjust the expected access strategy of the file according to the analysis content, and generate file access prediction data;

[0064] S5: Extract key information based on file access prediction data, rearrange the backup schedule and storage resource allocation according to the predicted demand time point, and create a dynamic storage adjustment plan;

[0065] S6: According to the dynamic storage adjustment plan, perform configuration adjustment operations, including remapping files to new storage areas and enabling new backup plans, to generate optimized file storage configuration.

[0066] File access data includes access time, file size in bytes, and access frequency count for each file. The file priority list includes file indexes arranged by demand frequency, associated storage requirements, and expected access frequencies. File location update records include the migration time of each file from the current location to the new location, the storage location before and after migration, and the migration impact assessment. File access prediction data includes predicted access pattern diagrams, key time points, and access density growth intervals. The dynamic storage adjustment plan includes adjustment details for file storage policies, optimized settings for backup cycles, and expected resource reconfiguration. The optimized file storage configuration includes new file storage paths, updated backup execution times, and adjusted resource utilization.

[0067] See also Figure 2 ,Based on the recorded ISO system files, the specific steps of collecting file access time, size and frequency information, analyzing the information and the current access mode of the file, and obtaining the file access data are as follows:

[0068] S101: Based on the recorded ISO system files, the access time, size and frequency information of the files are collected to generate the basic access data set process as follows;

[0069] First, the system extracts the access timestamp, file size, and access count of each file from the log file to construct an initial data matrix. The data matrix uses the file identifier as the row index and the timestamp, size, and frequency as the column attributes. For each file, the total number of accesses N, the average file size S, and the timestamp of the most recent access T are calculated. The specific calculation method is as follows: Total number of accesses Where k is the number of records in a file, N is the total number of accesses, and o is the index of the record. where s o is the file size of each access. In this formula, S represents the average file size, s o is the size of the file at the oth access, and k represents the total number of accesses. The most recent access time T = max(t1, t2, ..., t k ), where t i is the access timestamp, T represents the most recent access time, t i is the timestamp of the ith access. Using the N, S and T calculated above, a row of basic access data set is generated for each file.

[0070] S102: Based on the basic access data set, the collected data is cleaned to exclude abnormal values ​​and duplicate records, and the process of generating the cleaned access data set is as follows;

[0071] Data cleaning includes removing records with a file size of zero, records with abnormally large or small file sizes, and deleting duplicate file access records. A reasonable range for the file size is set as [L, U], where L and U are the lower and upper limits of the file size respectively. The rules for outlier removal are as follows: Delete records whose size is not within the range [L, U], that is, if s o < L or s o > U, then remove the record. Here, L represents the minimum file size limit, U represents the maximum file size limit, and s i is the file size of a certain record. For duplicate access records, only keep the latest access record. Using the above rules, reconstruct the cleaned access data set to ensure the accuracy and availability of the data.

[0072] S103: Based on the cleaned access data set, conduct data analysis to evaluate the current access pattern of the file, including the multiple access time periods and the file size distribution. The process of generating file access data is as follows:

[0073] Apply statistical analysis to the cleaned data to evaluate the access pattern of the file. Calculate the mean and standard deviation σ N of the file access frequency, the mean and standard deviation σ S of the file size. These statistics help identify changes in the access pattern and the distribution of the file size. The formulas are as follows: The mean and standard deviation of the file access frequency are respectively: and where m is the total number of files, and N j is the number of accesses to the j-th file. represents the average number of accesses, σ N represents the standard deviation of the number of accesses, and j is the index of the file. The mean and standard deviation of the file size are respectively: and where represents the average file size, σ S represents the standard deviation of the file size, and S j is the size of the j-th file. This helps identify files with abnormal access patterns or sizes.

[0074] Please refer to Figure 3 to prioritize the files based on the file access data, identify the files that need to be processed first, and the specific steps for generating the file priority list are as follows:

[0075] S201: Based on the file access data, calculate the access priority of each file, using the file size and access frequency as key parameters. The process of generating the initial priority index is as follows:

[0076] The access priority of each file is calculated using the file size S and access frequency N. This calculation is in the form of a weighted sum, giving a higher weight w to files with a higher access frequency. N and the weight w for the higher file size S The calculation formula of access priority index P is as follows: i =w N ·N i +w S ·S i , where P i Represents the access priority of the i-th file, N i is the access frequency of the file, S i is the size of the file. Weight w N and w S Adjust according to system needs to reflect the relative importance of access frequency and file size to the priority. This step ensures that each file is assigned a preliminary priority score.

[0077] S202: Based on the initial priority index, the least recently used algorithm is used to sort the file list, optimize the access speed, and generate an adjusted file list;

[0078] Sort the files using the least recently used algorithm. This algorithm sorts the files based on their most recent access time T and the calculated access priority P. The goal of file sorting is to put frequently accessed and large files at the front of the list. The sorting function F is defined as: F i =αcP i -β·T i , α and β are tuning parameters used to balance the impact of priority score and recent access time. T i It is the last access timestamp of the file, converted to the inverse of the current time to ensure that the most recently accessed files are ranked higher. At the same time, the file list is dynamically optimized according to the actual access mode and storage characteristics.

[0079] S203: Based on the adjusted file list, identify the files to be processed first, and generate the file priority list as follows;

[0080] By referring to the priority index F of the file i The average priority of all files The relationship between the two is established, and a dynamic threshold is set to determine whether a file is a priority file. This will be more dynamic and adaptable to the current file access mode. The formula can be defined as: Among them, Y i represents the priority processing index of the i-th file, F i is the sort index of the file, is the average of the priority index F of all files, and ∈ is a small positive constant used to avoid division by zero. By quantifying the performance of each file relative to the average priority, the processing priority of a file is no longer a simple binary decision (i.e., priority or no priority), but a continuous measure that can more finely adjust the file access policy. In practical applications, a ratio threshold, such as κ, can be set, and the file's Y i When the value is above this threshold, the file is marked for priority processing.

[0081] See also Figure 4 ,Through the file priority list, reconfigure the file storage layout, move the ,multiple accessed files to more prioritized access points, monitor and record the ,migration operation data, and generate the file location update records ,specific steps are as follows:

[0082] S301: Based on the file priority list, all files that have been accessed multiple times are listed, files are designated as migration objects, and file selection and marking operations are performed to generate identifications of files to be migrated;

[0083] The system first extracts statistical information of all files from a comprehensive file access and priority database. The access weight of each file is calculated using the formula: Among them, γ, δ and ζ are dynamically adjusted weight coefficients, T min is the earliest access time point during the investigation period. Next, set the dynamic threshold θ′, calculated as: θ′=μ W +k·σ W If the weight W of a file exceeds θ′, it is marked as a migration candidate. This method combines multiple access characteristics of files to accurately select files that need to optimize storage locations.

[0084] S302: Perform migration operations on the files in the file identifier to be migrated, including updating the file index and storage path, and generating a file migration execution record;

[0085] The actual migration operation is performed on the marked files to be migrated. The system updates the current storage location of each file to the new optimized location. The new location is selected based on the size and access frequency of the file. In the process of updating the index and storage path, the formula is used: new =α·I old +β, where I new is the updated file index, I old is the original index, α and β are adjustment factors to ensure that the file index reflects the new storage location after migration.

[0086] S303: Based on the file migration execution record, the data transmission speed and success rate during the file migration process are monitored, and the process of generating the file location update record is as follows;

[0087] The system monitors the real-time data of file migration, including data transfer speed V and success rate R. It is calculated by the following formula: and Where D represents the amount of data to be migrated, T is the time required for migration, and S success and S total The data are the number of files successfully migrated and the total number of files attempted to be migrated. These data help update the location records of files and ensure that the latest location of each file is accurately recorded in the file management system, optimizing storage management and improving system response speed.

[0088] See also Figure 5 ,Based on the file location update records and historical access data, analyze the future access trend of the file, identify the trend changes and access peaks, adjust the expected access strategy of the file according to the analysis content, and generate the specific steps of file access prediction data as follows:

[0089] S401: Based on the file location update record and historical access data, a recurrent neural network is used to predict the future access pattern of the file, and the changes in file access after migration are detected, including the increase and decrease in frequency and the time period of concentrated access. The process of generating the access frequency change prediction result is as follows;

[0090] The system uses a recurrent neural network to analyze the location update records and historical access data of files. The network input includes features extracted from the historical access frequency and recent location changes of the file. These features are used to train the neural network model to predict the access pattern of the file in a certain period of time in the future. During the model training process, the goal set is to minimize the prediction error.

[0091] The recurrent neural network follows the formula:

[0092]

[0093] Where E′ represents the total prediction error, which provides an adjusted error estimate that takes into account the importance and size of the file and is used to evaluate the overall performance of the prediction model. n represents the total number of files, which is used to calculate the average error to ensure the consistency of the error estimate and the rationality of the comparison. It is a summation symbol, indicating that all files are cumulatively calculated to ensure that the error of each file is taken into account in the total error. i A represents the predicted number of accesses to the i-th file, which is the output of the model and is used to compare with the actual number of accesses. i P represents the actual number of accesses to the i-th file, which is used to verify the accuracy of the prediction. i -A i Represents the difference between the predicted value and the actual value, and its square provides a quantitative expression of the error.di Represents the document importance index of the i-th file, which is an indicator to measure the importance of the file, affecting the weight of the error, and is used to adjust the contribution of the importance of the file to the prediction error. log(1+F di ) Perform a logarithmic transformation on the document importance index to smooth the impact of the importance index and avoid excessive impact of extreme values. i Indicates the size of the i-th file, which is used to influence the weight of the prediction error so that the prediction errors of large and small files are considered differently. max*S) The maximum file size observed in all files, which is used to standardize the impact of file size. α is an adjustment parameter used to control the degree of influence of file size on the prediction error, which can be adjusted according to actual needs.

[0094] The calculation process is as follows:

[0095] Calculate P i -A i Values:

[0096] P i and A i Represent the predicted and actual access times of the ith file respectively. Calculate the difference between them to get the basic value of the prediction error.

[0097] Calculate the logarithmic adjustment factor of file importance 1+log(1+F di ):

[0098] F di is the document importance index of the ith file, which may be derived based on the file's usage frequency, modification frequency, or other business rules. di After adding 1, take the logarithm and add 1 again to adjust the impact of the prediction error. This transformation ensures that even in F di When it is 0, the denominator will not be 0. At the same time, the logarithmic transformation can reduce the excessive impact of high-importance files.

[0099] Calculate the normalized impact of file size

[0100] S i is the size of the ith file, and max(S) is the maximum size of all files. First, the ratio of each file size to the maximum file size is calculated, and then this ratio is raised to the αth power, where α is a pre-set parameter used to adjust the impact of file size.

[0101] Combine and calculate the adjusted error for individual files:

[0102]

[0103] The final E' value is an adjusted prediction error indicator that combines file importance and file size. It can more accurately evaluate the accuracy of the prediction model, especially in the prediction performance of different types of files. It takes into account the business importance and actual size of the file, making the error assessment more fair and targeted. This result plays an important role in the optimization of the file management system. It can guide the system to more effectively adjust resource allocation and backup strategies, especially during high load or important periods, to ensure the accessibility of key files and the security of data.

[0104] S402: extracting key time periods and file categories from the access frequency change prediction results, identifying key access peak time periods and file types, and generating key change factor identification results;

[0105] Identify the key time periods and related file types that appear in the forecast. This analysis is based on the statistical distribution characteristics of access frequency, and is achieved by calculating the mean μ and standard deviation σ of access frequency for each time period and file type: and in, represents the number of file accesses in the i1th time period, and t is the total number of time periods examined. By analyzing μ and σ for each time period and file type, the system can effectively identify the key access peak time periods and file types.

[0106] S403: Based on the identification result of the key change factors, the expected access strategy of the file is adjusted, including optimizing the storage path and the backup frequency, and the process of generating the file access prediction data is as follows;

[0107] Based on the identified key change factors, the storage path and backup frequency of the file are adjusted to optimize access efficiency and data security. The adjustment strategy uses a dynamic adjustment algorithm to optimize the storage path based on the predicted access pattern. The adjustment is based on the weighted score of the file access frequency and file size, calculated as follows: Z = ξV′ + ηS′, where V′ and S′ represent the file access frequency and size, respectively, and ξ and η are weights that are dynamically adjusted based on the file access pattern and the system storage policy. The use of this formula helps the system dynamically adjust the storage location and backup frequency of each file to adapt to changes in access patterns, thereby optimizing overall system performance.

[0108] See also Figure 6 , based on extracting key information from the file access prediction data, rearrange the backup schedule and storage resource allocation according to the predicted demand time point, and create a dynamic storage adjustment plan. The specific steps are as follows:

[0109] S501: Based on the file access prediction data, identify the key time points and resource allocation requirements, plan resource adjustment and backup time for the predicted peak period, and generate the key time point analysis results;

[0110] The system determines key time points by analyzing file access forecast data, especially the predicted access peak periods. These time points reflect the moments when resource demand may increase significantly. In order to plan resource adjustments and backups, the system calculates the required resource amount R' using the following formula: Among them, λ is the resource demand coefficient, is the predicted access volume during the j1th predicted peak period, and k1 is the number of peak periods. This calculation helps determine the amount of additional resources needed at each critical time point and the timing of backup operations.

[0111] S502: Acquire data from the analysis results of key time points, redesign and adjust the backup schedule, and generate an adjusted backup and resource configuration process;

[0112] The system redesigns and adjusts the backup schedule and resource configuration. By evaluating the resource requirements and current resource utilization at each key time point, the system calculates the resource reconfiguration index C, which is calculated as follows:

[0113] Among them, μ is the resource adjustment coefficient, is the resource demand at the i2th time point, is the length of the corresponding time interval, and n1 is the total number of critical time points. This step ensures that the backup schedule and resource allocation closely correspond to the predicted access pattern, optimizing system performance and data security.

[0114] S503: Implement the adjusted backup and resource configuration, update the configuration settings of the storage management system, apply the new schedule and resource allocation strategy, and generate a dynamic storage adjustment plan;

[0115] The system implements the adjusted backup and resource configuration. To ensure that all settings are applied correctly and the system operates efficiently, a dynamic adjustment formula is used to optimize the storage configuration: where ν is the adjustment intensity parameter, is the amount of backup data at the m1th time point, is the corresponding amount of configured resources, and q is the total number of critical time points. In this way, the configuration settings of the storage management system are updated, and new schedules and resource allocation policies are applied to ensure that the system responds quickly to changing access requirements.

[0116] See also Figure 7, according to the dynamic storage adjustment plan, perform configuration adjustment operations, including remapping files to new storage areas and enabling new backup plans. The specific steps to generate the optimized file storage configuration are as follows:

[0117] S601: According to the dynamic storage adjustment plan, identify the file that needs to be updated, execute the file update operation, including modifying the storage location of the file, and generate the file mapping update execution record;

[0118] The system identifies and lists the files that need to be updated based on the dynamic storage adjustment plan that has been established. For these files, the update operation includes modifying their storage location. During this process, the new storage location is calculated using the following formula to ensure that the storage efficiency of each file is maximized: new =ξ1·L current +η1·F usage , where M new is the new mapping location of the file, L current is the current logical position of the file, F usage is the evaluation value of the file usage frequency, ξ1 and η1 are the adjustment coefficients. Each step of this process is recorded to form a file mapping update execution record for subsequent review and analysis.

[0119] S602: Start a new backup plan, including setting the time and resources of the backup task, monitoring the execution of the first backup to evaluate the configuration effect, and generating a new backup execution record;

[0120] The system starts a new backup plan, which includes setting specific time and resources for the backup task. The new backup plan arranges the resource requirements of the backup task according to the following formula: Among them, B req is the total amount of resources required for the backup task, ρ is the unit data backup resource requirement coefficient, is the data size of the n2th file, and N′ is the number of files included in the backup plan. After startup, the execution of the first backup is carefully monitored, and the relevant configuration effects are evaluated through the new backup execution records, which helps to ensure the effectiveness of the backup strategy.

[0121] S603: Analyze the file mapping update execution record and the new backup execution record, analyze the performance of the overall configuration, and generate the optimized file storage configuration process as follows;

[0122] The file mapping update execution records and new backup execution records are analyzed to evaluate the performance of the overall configuration. By integrating these data, the overall configuration efficiency is calculated using the following formula: Among them, E total is the efficiency of the overall configuration, is the amount of resources consumed by the q1th configuration task, is the data processing volume of the corresponding task, and Q is the total number of tasks considered. This analysis helps determine whether further optimization measures are needed to improve the performance and efficiency of the storage configuration. Through this approach, an optimized file storage configuration is ultimately generated, aiming to improve the system's responsiveness and resource utilization efficiency.

[0123] See also Figure 8 , an electronic management system for international standardization organization system documents, the system includes:

[0124] The data collection and analysis module collects the access time, size and frequency information of files based on file logs, analyzes the data to reveal the current file access mode, combines historical access data, iteratively analyzes the future access trend of files, and generates file access trend analysis results;

[0125] The priority sorting module prioritizes files based on the file access trend analysis results, uses file access frequency and file size as key parameters, selects files that need to be processed first, and generates a file priority list;

[0126] The storage layout adjustment module uses the file priority list to reconfigure the file storage layout, moves the files that are accessed multiple times to the priority access points, monitors and records the migration operation data, and generates file location update records;

[0127] The dynamic storage management module adjusts the backup schedule and storage resource allocation based on the file location update records and file access trend analysis results, and generates a dynamic storage adjustment plan;

[0128] The system configuration implementation module executes the dynamic storage adjustment plan, remaps files to new storage areas, enables new backup plans and monitors the entire process to generate optimized file storage configuration.

[0129] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in other forms. Any technician familiar with the profession may use the technical contents disclosed above to change or modify them into equivalent embodiments with equivalent changes and apply them to other fields. However, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present invention without departing from the technical solution of the present invention still falls within the protection scope of the technical solution of the present invention.

Claims

1. A method for electronic management of ISO system documents, characterized in that: The following steps are involved: Based on the recorded ISO system files, the access time, size and frequency information of the files are collected, and the information and the current access mode of the files are analyzed to obtain the file access data; Based on the file access data, the files are prioritized, the files that need to be processed first are identified, and a file priority list is generated; reconfigure the file storage layout through the file priority list, move the files that are accessed multiple times to more prioritized access points, monitor and record migration operation data, and generate file location update records; Based on the file location update record and historical access data, analyze the future access trend of the file, identify trend changes and access peaks, adjust the expected access strategy of the file according to the analysis content, and generate file access prediction data; Extracting key information based on the file access prediction data, rearranging the backup schedule and storage resource allocation according to the predicted demand time point, and creating a dynamic storage adjustment plan; According to the dynamic storage adjustment plan, performing configuration adjustment operations, including remapping files to new storage areas and enabling new backup plans, to generate optimized file storage configurations; Based on the file location update record and historical access data, the future access trend of the file is analyzed, trend changes and access peaks are identified, and the expected access strategy of the file is adjusted according to the analysis content. The specific steps of generating file access prediction data are as follows: Based on the file location update records and historical access data, a recurrent neural network is used to predict the future access pattern of the file, detect changes in file access after migration, including frequency increase and decrease and time periods of concentrated access, and generate access frequency change prediction results; Extracting key time periods and file categories from the access frequency change prediction results, identifying key access peak time periods and file types, and generating key change factor identification results; Based on the identification result of the key change factors, adjusting the expected access strategy of the file, including optimizing the storage path and backup frequency, and generating file access prediction data; The recurrent neural network follows the formula: Where E′ represents the total prediction error, n represents the total number of files, and P i represents the predicted number of accesses to the i-th file, A i represents the number of accesses to the i-th file, P i -A i Represents the difference between the predicted value and the current value, F di Represents the document importance index of the i-th file, log(1+F di ) performs logarithmic transformation on the document importance index, S i represents the size of the i-th file, max(S) is the maximum file size observed among all files, and α is a tuning parameter.

2. The electronic management method of ISO system documents according to claim 1 is characterized by: The file access data includes the access time point, the byte size of the file and the access frequency count of each file, the file priority list includes the file index arranged by demand frequency, the associated storage demand and the expected access frequency, the file location update record includes the migration time of each file from the current location to the new location, the storage location before and after the migration and the migration impact assessment, the file access prediction data includes the predicted access pattern diagram, key time points and access density growth interval, the dynamic storage adjustment plan includes the adjustment details of the file storage strategy, the optimization settings of the backup cycle and the expected resource reconfiguration, and the optimized file storage configuration includes the new file storage path, the updated backup execution time and the adjusted resource utilization.

3. The electronic management method of ISO system documents according to claim 1, characterized in that: Based on the recorded ISO system files, collect the file access time, size and frequency information, analyze the information and the current access mode of the file, and obtain the file access data in the following specific steps: Based on the recorded ISO system files, the access time, size and frequency information of the files are collected to generate the basic access data set; Based on the basic access data set, the collected data is cleaned to exclude abnormal values ​​and duplicate records, and a cleaned access data set is generated; Based on the cleaned access data set, data analysis is performed to evaluate the current access mode of the file, including multiple access time periods and file size distribution, and generate file access data.

4. The electronic management method of ISO system documents according to claim 1 is characterized by: Based on the file access data, the files are prioritized, the files that need to be processed first are identified, and the specific steps of generating a file priority list are as follows: Based on the file access data, the access priority of each file is calculated, and the file size and access frequency are used as key parameters to generate an initial priority index; Based on the initial priority index, a least recently used algorithm is used to sort the file list, optimize the access speed, and generate an adjusted file list; Based on the adjusted file list, the files to be processed first are identified, and a file priority list is generated.

5. The electronic management method of ISO system documents according to claim 1 is characterized by: The specific steps of reconfiguring the file storage layout through the file priority list, moving the files that are accessed multiple times to a more prioritized access point, monitoring and recording the migration operation data, and generating the file location update record are as follows: Based on the file priority list, all files that have been accessed multiple times are listed, files are designated as migration objects, file selection and marking operations are performed, and identification of files to be migrated is generated; Performing a migration operation on the file in the to-be-migrated file identifier, including updating a file index and a storage path, and generating a file migration execution record; Based on the file migration execution record, the data transmission speed and success rate during the file migration process are monitored, and a file location update record is generated.

6. The electronic management method of ISO system documents according to claim 1, characterized in that: The specific steps of extracting key information based on the file access prediction data, rearranging the backup schedule and storage resource allocation according to the predicted demand time point, and creating a dynamic storage adjustment plan are as follows: Based on the file access prediction data, identify key time points and resource allocation requirements, plan resource adjustments and backup times for predicted peak periods, and generate key time point analysis results; Acquire data from the analysis results of the key time points, redesign and adjust the backup schedule, and generate adjusted backup and resource configuration; Implement the adjusted backup and resource configuration, update the configuration settings of the storage management system, apply the new schedule and resource allocation strategy, and generate a dynamic storage adjustment plan.

7. The electronic management method of ISO system documents according to claim 1 is characterized by: According to the dynamic storage adjustment plan, configuration adjustment operations are performed, including remapping files to new storage areas and enabling new backup plans. The specific steps for generating optimized file storage configuration are as follows: According to the dynamic storage adjustment plan, identifying the files that need to be updated in mapping, executing the file update operation, including modifying the storage location of the file, and generating the file mapping update execution record; Start a new backup plan, including setting the time and resources for the backup task, monitoring the execution of the first backup to evaluate the configuration effect, and generating a new backup execution record; The file mapping update execution record and the new backup execution record are analyzed, the performance of the overall configuration is analyzed, and an optimized file storage configuration is generated.

8. An electronic management system for international standardization system documents, characterized in that: According to any one of claims 1 to 7, the electronic management method of ISO system documents is implemented, and the system comprises: The data collection and analysis module collects the access time, size and frequency information of files based on file logs, analyzes the data to reveal the current file access mode, combines historical access data, iteratively analyzes the future access trend of files, and generates file access trend analysis results; The priority sorting module prioritizes the files based on the file access trend analysis results, uses the file access frequency and file size as key parameters, selects the files that need to be processed first, and generates a file priority list; The storage layout adjustment module uses the file priority list to reconfigure the file storage layout, moves the files that are accessed multiple times to the priority access points, monitors and records the migration operation data, and generates a file location update record; The dynamic storage management module adjusts the backup schedule and storage resource allocation based on the file location update record and the file access trend analysis result, and generates a dynamic storage adjustment plan; The system configuration implementation module executes the dynamic storage adjustment plan, remaps files to new storage areas, enables new backup plans and monitors the entire process, and generates optimized file storage configuration.

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