Cultural information digital storage method and system

Abstract

The invention discloses a cultural information digital storage method and system, and relates to the technical field of cultural information digital storage, and the method comprises the steps: employing natural language processing, and carrying out the preprocessing of a matched result; the hierarchical storage strategy comprises the step of dynamically adjusting the distribution of the hierarchical storage strategy by utilizing a distributed Hash algorithm; and accessing the culture information based on the role access control model and the attribute encryption model, providing information display of different degrees according to the authority level of the user, and completing digital storage of the culture information. According to the method, the utilization of storage resources is optimized, the storage cost is reduced, the response speed of the system is improved, the user retrieval experience and the information discovery capability are improved, fine-grained authority management and data protection are provided based on the role access control model and the attribute encryption model, and the user experience is improved. It is ensured that different types of users can obtain information display of different degrees according to the authority levels of the users, and the safety and privacy of cultural information are guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of digital storage of cultural information, and particularly to a method and system for digital storage of cultural information. Background Art

[0002] With the rapid development of information technology, today's society has entered an era driven by data. Frontier technologies such as big data, cloud computing, and artificial intelligence are profoundly changing our lifestyle and business model. In this era of information explosion, cultural information resources, as an important part of human civilization, their digital storage and management have become the key to inheriting and developing culture. However, in the face of a vast and growing amount of cultural information, how to store it efficiently, securely, and reliably, and ensure that this information can be accessed and utilized conveniently and quickly has become an urgent problem to be solved.

[0003] Existing cultural information storage technologies have some significant limitations. Firstly, traditional database systems often face performance bottlenecks when dealing with large-scale data and are difficult to meet the requirements of real-time and high-concurrency access. Secondly, due to the lack of intelligent data management and analysis capabilities, existing systems are insufficient in supporting personalized services and precise push, and cannot fully explore and display the value of cultural information. Security issues cannot be ignored either. Traditional storage methods are vulnerable to network attacks or hardware failures, increasing the risk of data loss or leakage. In addition, it is difficult to integrate cultural information from different sources and formats, resulting in the phenomenon of "information islands" and restricting cross-platform and cross-field communication and cooperation. Therefore, it is particularly necessary to develop a more advanced, intelligent, and secure method and system for digital storage of cultural information. Summary of the Invention

[0004] In view of the problems existing in the existing methods and systems for digital storage of cultural information, the present invention is proposed.

[0005] Aiming at the problems such as performance bottlenecks, insufficient intelligent management, poor security, and lack of user personalized services faced by the cultural information storage system in the prior art when dealing with large-scale and multi-source heterogeneous data, the present invention provides an efficient, secure, and intelligent method for digital storage of cultural information through a customized data acquisition interface, an intelligent perception mechanism, a hierarchical storage strategy, a multi-dimensional semantic index structure, and a permission management model based on roles and attributes.

[0006] To solve the above technical problems, the present invention provides the following technical solutions:

[0007] In a first aspect, an embodiment of the present invention provides a method for digitally storing cultural information, which includes customizing a data acquisition interface for digitalizing cultural information, collecting data sources for digitalizing cultural information according to the data acquisition interface, matching the data acquisition interface with the data sources, and using natural language processing to preprocess the matched results; after completing the preprocessing of the matched results, transmitting the cultural information to a storage system designed based on cloud computing and distributed architecture, and processing it using a hierarchical storage strategy, where the hierarchical storage strategy includes using a distributed hash algorithm to dynamically adjust the distribution of the hierarchical storage strategy; creating a multi-dimensional semantic index structure through learning and modeling with the metadata generated during the preprocessing stage of the matched results, accessing cultural information based on a role-based access control model and an attribute encryption model for different types of users and application scenarios, and providing information displays of different levels according to the user's permission level to complete the digital storage of cultural information.

[0008] As a preferred solution of the method for digitally storing cultural information according to the present invention, the customizing a data acquisition interface for digitalizing cultural information includes collecting an opinion feedback mechanism of users on cultural information data, and customizing a cultural information acquisition plugin according to the opinion feedback mechanism. The cultural information acquisition plugin includes integrating cultural information through an intelligent perception mechanism, and the intelligent perception mechanism includes starting a dynamically adapted cultural information grabbing process, connecting the cultural information acquisition plugin with the data source, and grabbing the status of the connected data source.

[0009] When it is detected that the connected data source is updated by the opinion feedback mechanism, the system of the data acquisition interface will trigger the update mechanism of the plugin and download the document configuration parameters of the updated data acquisition interface.

[0010] When it is detected that the connected data source is not updated by the opinion feedback mechanism, the data acquisition interface is matched with the data source. The matching includes collecting the compatibility between the data acquisition interface and the data source using an intelligent matching algorithm. The intelligent matching algorithm includes analyzing the multi-dimensional features of the data source using a matching engine to obtain a type A data acquisition interface. The type A data acquisition interface refers to an adaptive optimization mechanism model introduced based on the data acquisition interface. The adaptive optimization mechanism model includes recording the matching result parameters, incorporating the matching result parameters into the training data of the self-learning model, and continuously optimizing the matching algorithm according to the accumulated experience in future matching processes to maximize the matching efficiency.

[0011] As a preferred solution of the method for digitally storing cultural information according to the present invention, the transmitting the cultural information to a storage system designed based on cloud computing and distributed architecture includes introducing an intelligent traffic scheduling module to perform adaptive processing on the transmission process.

[0012] The adaptive processing includes selecting text and structured data. The storage system with a distributed architecture design will use a lossless compression algorithm to reduce the transmission volume. For unstructured data such as images, audio, and video, a lossy compression algorithm will be adopted. Different encryption strengths are selected. In response to sudden security threats, the storage system with a distributed architecture design adopts a dynamic adjustment of the encryption algorithm and adjusts the key length. When a cyber attack occurs, the selected text, structured data, images, audio, and video unstructured data are protected using the adjusted key length.

[0013] As a preferred solution of the cultural information digital storage method described in the present invention, wherein: the processing using a hierarchical storage strategy includes, after adaptive processing, the storage system classifies cultural information into hot data and cold data according to the access frequency of the cultural information, introduces a dynamic hot-cold data separation mechanism, and monitors the access pattern of cultural information digitalization in real time;

[0014] When the classified data enters the storage system, the storage system marks it and stores the marking result in the SSD cluster. At this time, a one-week observation period is started;

[0015] During the observation period, the storage system will re-evaluate the access frequency of this data every 24 hours. When it is found that the access frequency is lower than the threshold N, the storage system will mark it as cold data and start a one-week observation period again;

[0016] Regarding the information of the marked cold data, the storage system will analyze it. The analysis by the storage system includes considering the user's access behavior, the historical access trend of the data, and the associated cultural information. When it is confirmed that the data indeed belongs to cold data, the storage system will migrate it to a low-cost tape library storage service; otherwise, the storage system will continue to maintain its hot data status;

[0017] When the classified data has been classified as cold data, the storage system will regularly check its access situation. When it is found that the access frequency of a certain cold data increases, the storage system will re-mark it as hot data and migrate it back to the SSD cluster.

[0018] As a preferred solution of the cultural information digital storage method described in the present invention, wherein: the dynamic adjustment of the hierarchical storage strategy distribution includes adopting a distributed hash table and an intelligent load balancing mechanism. Regarding the monitored access pattern of cultural information digitalization, when each piece of cultural information enters the storage system, it will be assigned a unique identifier and mapped to a node of the storage system according to this identifier. An intelligent load balancing mechanism is introduced. When there are changes in the nodes on the storage system, the intelligent load balancing mechanism is used to expand or contract the changed nodes;

[0019] When cultural information enters the storage system, the storage system will dynamically select a node for storage based on the load of the current storage node. The storage system will consider the available space, read and write speed, and network latency of the node and select the node with the smallest load as the target.

[0020] The storage system monitors the load of each storage node in real time. When it finds that the load of a node exceeds the set threshold S, the storage system automatically starts the load balancing process. The storage system selects some data from the node and migrates it to other nodes with lower loads.

[0021] When a new storage node is migrated to the storage system, the storage system will pre-process some of the existing data and use the newly added storage resources for analysis;

[0022] When a node needs to go offline, the storage system will migrate the data on the node to other nodes in advance to ensure data continuity.

[0023] As a preferred solution of the cultural information digital storage method of the present invention, wherein: the creation of a multi-dimensional semantic index structure includes distributing the semantic index table to each storage node;

[0024] When a user initiates a query request, the storage system locates the semantic index table based on the query conditions, obtains cultural information, and selects multiple dimensions for retrieval based on the storage system's support for combined queries;

[0025] A sorting optimization model is introduced. By analyzing the user's search history, preference settings and current context information, the storage system predicts the cultural information that the user is interested in and displays it to the user first. In addition, the storage system optimizes the distributed hash algorithm, intelligent matching algorithm, lossless compression algorithm, and dynamically adjusts the encryption algorithm based on the user's real-time feedback.

[0026] As a preferred solution of the cultural information digital storage method of the present invention, wherein: the providing different degrees of information display according to the user's authority level includes the storage system providing information display methods according to the semantic index table on each storage node and the authority level of different users;

[0027] The permission levels include all users, general users, researchers, and administrators;

[0028] When ordinary users conduct searches, the storage system will display the semantic index tables on each storage node, and ordinary users can browse thumbnails to complete the digital storage of cultural information;

[0029] When researchers conduct a search, the storage system displays the semantic index tables on each storage node of the application. Based on the researchers' interests, digital storage of cultural information is completed.

[0030] When administrators conduct a search, the storage system displays the semantic index tables on all storage nodes. Administrators can view and operate on all data, monitor the running status of the storage system, and complete the digital storage of cultural information.

[0031] In a second aspect, an embodiment of the present invention provides a digital storage system for cultural information, which includes: a preprocessing module that customizes a data acquisition interface for digitalization of cultural information, collects data sources for digitalization of cultural information according to the data acquisition interface, matches the data acquisition interface with the data sources, and performs preprocessing on the matched results using natural language processing.

[0032] An adjustment module that, after completing the preprocessing of the matched results, transmits the cultural information to a storage system designed based on cloud computing and a distributed architecture, and processes it using a hierarchical storage strategy. The hierarchical storage strategy includes using a distributed hash algorithm to dynamically adjust the distribution of the hierarchical storage strategy.

[0033] A storage module that creates a multi-dimensional semantic index structure by learning and modeling through the metadata generated during the preprocessing stage of the matched results, accesses cultural information based on a role-based access control model and an attribute encryption model for different types of users and application scenarios, and provides different levels of information display according to the user's permission level to complete the digital storage of cultural information.

[0034] In a third aspect, an embodiment of the present invention provides a computer device, including a memory and a processor. The memory stores a computer program, where: when the processor executes the computer program, any step of the above digital storage method for cultural information is implemented.

[0035] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, on which a computer program is stored, where: when the computer program is executed by a processor, any step of the above digital storage method for cultural information is implemented.

[0036] The beneficial effects of the present invention are as follows: Through customized data acquisition interfaces and intelligent perception mechanisms, the present invention can automatically adapt to a variety of heterogeneous data sources, ensuring the continuity and accuracy of data acquisition, realizing the dynamic management of hot and cold data, optimizing the utilization of storage resources, reducing storage costs and improving the system's response speed, enhancing the user's retrieval experience and information discovery ability. Based on the role-based access control model and attribute encryption model, it provides fine-grained permission management and data protection, ensuring that different types of users can obtain different levels of information display according to their permission levels, and guaranteeing the security and privacy of cultural information. In addition, the present invention not only solves the problems of performance bottlenecks, insufficient intelligence, and poor security in the prior art, but also provides users with an efficient, secure, and personalized cultural information service platform, promoting the digital transformation and development of cultural resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. Among them:

[0038] Figure 1 It is a specific flowchart of a method for digital storage of cultural information.

[0039] Figure 2 It is an internal structure diagram of a computer device for a method for digital storage of cultural information. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0040] In order to make the above objects, features, and advantages of the present invention more obvious and understandable, the following will make a detailed description of the specific embodiments of the present invention in conjunction with the drawings of the specification. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present invention.

[0041] In the following description, many specific details are set forth in order to fully understand the present invention. However, the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar promotions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0042] Second, as used herein, "one embodiment" or "an embodiment" refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The appearances of "in one embodiment" in different places in this specification do not all refer to the same embodiment, nor are they separate or alternative embodiments that exclude each other.

[0043] The present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally out of the general scale, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0044] At the same time, in the description of the present invention, it should be noted that the orientation or positional relationship indicated by terms such as "upper, lower, inner, and outer" is based on the orientation or positional relationship shown in the drawings, and is 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 should not be construed as a limitation of the present invention. In addition, the terms "first, second, or third" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance.

[0045] Unless otherwise clearly defined and limited in the present invention, the terms "mounted, connected, and coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can also be a mechanical connection, an electrical connection, or a direct connection, and can also be indirectly connected through an intermediate medium, or can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0046] Embodiment 1

[0047] Referring to Figure 1 and Figure 2 , this is the first embodiment of the present invention, and this embodiment provides a method for digitally storing cultural information, including:

[0048] S1: Customize the data acquisition interface for digital cultural information, collect the data sources of digital cultural information according to the data acquisition interface, match the data acquisition interface with the data sources, and use natural language processing to preprocess the matched results.

[0049] Among them, the data acquisition interface for customizing digital cultural information includes a mechanism for collecting user feedback on cultural information data, customizing a cultural information acquisition plugin according to the feedback mechanism. The cultural information acquisition plugin includes integrating cultural information through an intelligent perception mechanism. The intelligent perception mechanism includes starting a dynamically adapted cultural information scraping process, connecting the cultural information acquisition plugin to a data source, and scraping the status of the connected data source;

[0050] When it is detected that the data source after connection is updated by the feedback mechanism, the system of the data acquisition interface will trigger the update mechanism of the plugin and download the document configuration parameters of the updated data acquisition interface;

[0051] When it is detected that the data source after connection is not updated by the feedback mechanism, the data acquisition interface is matched with the data source. The matching includes collecting the compatibility between the data acquisition interface and the data source using an intelligent matching algorithm. The intelligent matching algorithm includes analyzing the multi-dimensional characteristics of the data source using a matching engine to obtain a type-A data acquisition interface. The type-A data acquisition interface refers to an adaptive optimization mechanism model introduced based on the data acquisition interface. The adaptive optimization mechanism model includes recording the matching result parameters and incorporating the matching result parameters into the training data of the self-learning model. In future matching processes, the matching algorithm is continuously optimized based on the accumulated experience to maximize the matching efficiency.

[0052] After completing the preprocessing of the matching result, the cultural information is transmitted to a storage system designed based on cloud computing and a distributed architecture, and a hierarchical storage strategy is adopted for processing. The hierarchical storage strategy includes using a distributed hash algorithm to dynamically adjust the distribution of the hierarchical storage strategy.

[0053] Among them, transmitting the cultural information to a storage system designed based on cloud computing and a distributed architecture includes introducing an intelligent traffic scheduling module to perform adaptive processing on the transmission process;

[0054] The adaptive processing includes selecting text and structured data. The storage system designed based on a distributed architecture will use a lossless compression algorithm to reduce the transmission volume. For unstructured data such as images, audio, and video, a lossy compression algorithm is adopted, and different encryption intensities are selected. In response to sudden security threats, the storage system designed based on a distributed architecture adopts a dynamic adjustment of the encryption algorithm to adjust the key length. When a network attack occurs, the selected text, structured data, images, audio, and video unstructured data are protected using the adjusted key length.

[0055] Furthermore, adopting a hierarchical storage strategy for processing includes, after adaptive processing, the storage system classifying the cultural information into hot data and cold data according to the access frequency of the cultural information, and introducing a dynamic hot-cold data separation mechanism to monitor the access pattern of digital cultural information in real time;

[0056] When the classified data enters the storage system, the storage system marks it and stores the marking result in the SSD cluster. At this time, a one-week observation period is started;

[0057] During the observation period, the storage system will re-evaluate the access frequency of this data every 24 hours. When it is found that the access frequency is lower than the threshold N, the storage system will mark it as cold data and start a one-week observation period again;

[0058] Regarding the information of the marked cold data, the storage system will analyze it. The storage system will analyze it including considering the user's access behavior, the historical access trend of the data, and the associated cultural information. When it is confirmed that the data indeed belongs to cold data, the storage system will migrate it to the low-cost tape library storage service; otherwise, the storage system will continue to maintain its hot data status;

[0059] When the classified data has been classified as cold data, the storage system will regularly check its access situation. When it is found that the access frequency of a certain cold data increases, the storage system will re-mark it as hot data and migrate it back to the SSD cluster.

[0060] Furthermore, dynamically adjusting the hierarchical storage policy distribution includes using a distributed hash table and an intelligent load balancing mechanism. For the access pattern of monitoring the digitization of cultural information, when each piece of cultural information enters the storage system, it will be assigned a unique identifier and mapped to the nodes of the storage system according to this identifier. An intelligent load balancing mechanism is introduced. When there are changes in the nodes on the storage system, the intelligent load balancing mechanism will be used to expand or contract the changed nodes;

[0061] When the cultural information enters the storage system, the storage system will dynamically select a node for storage according to the load situation of the current storage nodes. The storage system will consider factors such as the available space, read / write speed, and network latency of the nodes and select the node with the lowest load as the target;

[0062] The storage system will monitor the load situation of each storage node in real time. When it is found that the load of a certain node exceeds the set threshold S, the storage system will automatically start the load balancing process. The storage system will select some data from this node and migrate it to other nodes with low load;

[0063] When there is a new storage node migration in the storage system, the storage system will preprocess some existing data and analyze it using the newly added storage resources;

[0064] When a certain node needs to go offline, the storage system will migrate the data on this node to other nodes in advance to complete the continuity of the data.

[0065] Furthermore, the dynamic adjustment hierarchical storage strategy of the present invention adopts a distributed hash table and an intelligent load balancing mechanism to ensure that cultural information can be efficiently and intelligently allocated to appropriate nodes when entering the storage system. Each piece of cultural information is assigned a unique identifier when entering the system and is mapped to a specific storage node through a distributed hash algorithm. When cultural information enters the storage system, the system will dynamically select a node for storage according to the load conditions of the current storage nodes. Specifically, the system will comprehensively consider factors such as the available space, read / write speed, and network latency of the nodes. For example, if the available space of a certain node exceeds 80% and the read / write speed reaches 10 Gbps, and the network latency is lower than 5 milliseconds, then this node will be preferentially selected as the storage target. The storage system will monitor the load conditions of each storage node in real time. When it is found that the load of a certain node exceeds the set threshold S (such as 75% CPU utilization or 90% memory occupancy), the storage system will automatically start the load balancing process and select some data from this node to migrate to other nodes with a load lower than 30% to ensure the overall performance and stability of the system. When a new storage node joins the storage system, the system will preprocess some existing data and analyze it using the newly added storage resources to ensure that the new node can quickly undertake the storage task. When a certain node needs to go offline, the storage system will migrate the data on this node to other nodes in advance to ensure the continuity and integrity of the data. The entire process realizes dynamic adjustment through the intelligent load balancing mechanism, ensuring the efficient operation of the storage system and the optimal utilization of resources. The key data in the dynamic adjustment hierarchical storage strategy is shown in Table 1 below:

[0066] Table 1 Key data table in the dynamic adjustment hierarchical storage strategy

[0067]

[0068] Table 1 describes that the dynamic adjustment hierarchical storage strategy ensures the efficient allocation of cultural information to appropriate storage nodes through a distributed hash table and an intelligent load balancing mechanism. When the system selects a node, it comprehensively considers the available space (>80%), read / write speed (10 Gbps), and network latency (<5 milliseconds), and automatically starts load balancing when the node load exceeds 75% CPU utilization or 90% memory occupancy, migrating the data to nodes with a load lower than 30% to ensure system stability and performance. When a new node joins, the system preprocesses some existing data to optimize resource utilization, and when a node goes offline, it migrates the data in advance to ensure data continuity.

[0069] By performing learning and modeling on the metadata generated during the preprocessing stage of the matching results, a multi-dimensional semantic index structure is created. For different types of users and application scenarios, cultural information is accessed based on the role-based access control model and the attribute encryption model, and different levels of information display are provided according to the user's permission level to complete the digital storage of cultural information.

[0070] Among them, creating a multi-dimensional semantic index structure includes distributing the semantic index table to each storage node;

[0071] When a user initiates a query request, the storage system will locate the semantic index table according to the query conditions, obtain cultural information, and support combined queries according to the storage system. The user can simultaneously select multiple dimensions for retrieval;

[0072] A sorting optimization model is introduced. By analyzing the user's search history, preference settings, and current context information, the storage system predicts the cultural information that the user is interested in and preferentially displays it to the user. In addition, the storage system optimizes the distributed hash algorithm, intelligent matching algorithm, lossless compression algorithm, and dynamically adjusts the encryption algorithm according to the user's real-time feedback.

[0073] Furthermore, providing different levels of information display according to the user's permission level includes providing information display methods by the storage system according to the semantic index tables on each storage node and the permission levels of different users;

[0074] The permission levels include all users, ordinary users, researchers, and administrators;

[0075] When an ordinary user conducts a search, the storage system will display the semantic index tables on each storage node. The ordinary user browses the thumbnails to complete the digital storage of cultural information;

[0076] When a researcher conducts a search, the storage system displays the semantic index tables on each storage node applied for, and completes the digital storage of cultural information according to the researcher's interests;

[0077] When an administrator conducts a search, the storage system displays all the semantic index tables on each storage node. The administrator views and operates all the data and monitors the running status of the storage system to complete the digital storage of cultural information.

[0078] In a preferred embodiment, a digital storage system for cultural information, the system includes a preprocessing module, which customizes the data acquisition interface for digital cultural information, collects the data sources for digital cultural information according to the data acquisition interface, matches the data acquisition interface with the data sources, and uses natural language processing to preprocess the matched results;

[0079] An adjustment module, after completing the preprocessing of the matching results, transmits the cultural information to a storage system designed based on cloud computing and distributed architecture, and processes it using a hierarchical storage strategy. The hierarchical storage strategy includes using a distributed hash algorithm to dynamically adjust the distribution of the hierarchical storage strategy;

[0080] A storage module, which conducts learning and modeling through the metadata generated during the preprocessing stage of the matching results, creates a multi-dimensional semantic index structure, accesses cultural information based on the role-based access control model and attribute encryption model for different types of users and application scenarios, and provides different levels of information display according to the user's permission level to complete the digital storage of cultural information.

[0081] The computer device can be a terminal. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected through a system bus. Its internal structure diagram can be as Figure 2 shown. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The communication interface of the computer device is used to communicate with external terminals in a wired or wireless manner. The wireless manner can be achieved through WIFI, carrier network, NFC (Near Field Communication), or other technologies. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen. The input device of the computer device can be a touch layer covering the display screen, or a button, trackball, or touchpad set on the outer shell of the computer device, or an external keyboard, touchpad, or mouse, etc.

[0082] In summary, through the customized data acquisition interface and intelligent perception mechanism, the present invention can automatically adapt to a variety of heterogeneous data sources, ensure the continuity and accuracy of data acquisition, realize the dynamic management of hot and cold data, optimize the utilization of storage resources, reduce storage costs and improve the system response speed, enhance the user retrieval experience and information discovery ability, and provide fine-grained permission management and data protection based on the role-based access control model and attribute encryption model to ensure that different types of users can obtain different levels of information display according to their permission levels, thus guaranteeing the security and privacy of cultural information. In addition, the present invention not only solves the problems of performance bottleneck, lack of intelligence, and poor security in the prior art, but also provides users with an efficient, secure, and personalized cultural information service platform, promoting the digital transformation and development of cultural resources.

[0083] Embodiment 2

[0084] Refer to Figure 1 and Figure 2, which is the second embodiment of the present invention. This embodiment provides a method for digital storage of cultural information. To verify the beneficial effects of the present invention, scientific demonstration is carried out through simulation experiments.

[0085] To verify the effectiveness and performance of the cultural information digital storage method of the present invention, a series of experiments were designed and implemented. The experimental environment was built on a cloud computing-based distributed storage system, using 20 storage nodes, each node equipped with 1TB of SSD storage space, 32GB of memory, and 24-core CPUs. In the experiment, different types of user access patterns were simulated, including ordinary users, researchers, and administrators. A total of more than 500,000 cultural information records were generated, covering various formats such as text, images, audio, and video. In the data transmission stage, the system achieved multi-channel parallel transmission through an intelligent traffic scheduling module, with an average transmission rate reaching 8Gbps, ensuring the efficient upload of large-scale data. For the classification of hot data and cold data, different access frequency thresholds were set. The access frequency of hot data was set to at least 10 times a day, while the access frequency of cold data was less than once a week. The experimental results showed that the system could accurately classify 95% of the data as hot data or cold data and dynamically adjust the storage level according to real-time monitoring. The load balancing mechanism was automatically activated when the node load exceeded 60%, and successfully migrated the data on the nodes with higher load to the nodes with load below 20%. The data loss rate during the migration process was zero, ensuring the stable operation of the system. When new storage nodes were added, the system could complete data preprocessing and distribution optimization within 10 minutes, making full use of the new resources. In addition, in response to security threats, the system dynamically adjusted the encryption algorithm, and the key length was increased from 128 bits to 256 bits, effectively resisting the simulated network attacks. Throughout the experimental process, the system demonstrated high efficiency, intelligent management, and strong security, fully proving the technical advantages of the present invention. The experimental process data is shown in Table 2 below:

[0086] Table 2 Experimental Process Data Table

[0087]

[0088] Table 2 demonstrates high efficiency, intelligent management, and strong security, fully proving its technical advantages.

[0089] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered within the scope of the claims of the present invention.

Claims

1. A method for digital storage of cultural information, characterized in that: include: Customize the data collection interface for digital cultural information, collect the data source for digital cultural information according to the data collection interface, match the data collection interface with the data source, and use natural language processing to pre-process the matching results; After the preprocessing of the matching results is completed, the cultural information is transmitted to a storage system designed based on cloud computing and distributed architecture, and processed using a tiered storage strategy, wherein the tiered storage strategy includes using a distributed hash algorithm to dynamically adjust the tiered storage strategy distribution; By conducting learning modeling on the metadata generated in the preprocessing stage of the matching results, a multi-dimensional semantic index structure is created. For different types of users and application scenarios, cultural information is accessed based on the role-based access control model and attribute encryption model, and different degrees of information display are provided according to the user's authority level to complete the digital storage of cultural information.

2. The method for digital storage of cultural information as claimed in claim 1, characterized in that: The customized data collection interface for digital cultural information includes collecting user feedback on cultural information data, customizing a cultural information collection plug-in according to the feedback mechanism, the cultural information collection plug-in includes integrating cultural information through an intelligent perception mechanism, the intelligent perception mechanism includes starting a dynamically adapted cultural information capture process, connecting the cultural information collection plug-in to a data source, and capturing the state of the data source after the connection; When it is detected that the connected data source is updated by the feedback mechanism, the data collection interface system will trigger the plug-in update mechanism to download the updated document configuration parameters of the data collection interface; When it is detected that the connected data source has not been updated by the feedback mechanism, the data acquisition interface is matched with the data source. The matching includes collecting the compatibility between the data acquisition interface and the data source using an intelligent matching algorithm. The intelligent matching algorithm includes analyzing the multi-dimensional characteristics of the data source using a matching engine to obtain a Class A data acquisition interface. The Class A data acquisition interface refers to an adaptive optimization mechanism model introduced based on the data acquisition interface. The adaptive optimization mechanism model includes recording matching result parameters and incorporating the matching result parameters into the training data of the self-learning model. In the future matching process, the matching algorithm is continuously optimized based on the accumulated experience to maximize the matching efficiency.

3. The method for digital storage of cultural information as claimed in claim 2, characterized in that: The said transmitting cultural information to a storage system designed based on cloud computing and distributed architecture includes introducing an intelligent traffic scheduling module to perform adaptive processing on the transmission process; The adaptive processing includes selecting text and structured data. The storage system with a distributed architecture design will use a lossless compression algorithm to reduce the transmission volume. For image, audio and video unstructured data, a lossy compression algorithm will be used and different encryption strengths will be selected. In response to sudden security threats, the storage system with a distributed architecture design will dynamically adjust the encryption algorithm and adjust the key length. When a network attack occurs, the adjusted key length will be used to protect the selected text, structured data, image, audio and video unstructured data.

4. The method for digital storage of cultural information as claimed in claim 3, characterized in that: The processing using a tiered storage strategy includes, after adaptive processing, the storage system classifies the cultural information into hot data and cold data according to the access frequency of the cultural information, introduces a dynamic hot and cold data separation mechanism, and monitors the access mode of the digital cultural information in real time; When the classified data enters the storage system, the storage system marks it and stores the marking results in the SSD cluster. At this time, a one-week observation period starts; During the observation period, the storage system will re-evaluate the access frequency of this data every 24 hours. If the access frequency is found to be lower than the threshold N, the storage system will mark it as cold data and start a second one-week observation period. The storage system will analyze the information of the marked cold data, including considering the user's access behavior, the historical access trend of the data and the associated cultural information. When it is confirmed that the data is indeed cold data, the storage system will migrate it to a low-cost tape library storage service; otherwise, the storage system will continue to keep it in the hot data state; When the classified data has been classified as cold data, the storage system will periodically check its access status. When it is found that the access frequency of a piece of cold data increases, the storage system will re-mark it as hot data and migrate it back to the SSD cluster.

5. The method for digital storage of cultural information as claimed in claim 4, characterized in that: The dynamic adjustment of the tiered storage strategy distribution includes using a distributed hash table and an intelligent load balancing mechanism. For monitoring the access mode of digital cultural information, each piece of cultural information will be assigned a unique identifier when entering the storage system, and mapped to the node of the storage system according to the identifier. The intelligent load balancing mechanism is introduced. When the nodes on the storage system change, the intelligent load balancing mechanism is used to expand or shrink the changed nodes; When cultural information enters the storage system, the storage system will dynamically select a node for storage based on the load of the current storage node. The storage system will consider the available space, read and write speed, and network latency of the node and select the node with the smallest load as the target. The storage system monitors the load of each storage node in real time. When it finds that the load of a node exceeds the set threshold S, the storage system automatically starts the load balancing process. The storage system selects some data from the node and migrates it to other nodes with lower loads. When a new storage node is migrated to the storage system, the storage system will pre-process some of the existing data and use the newly added storage resources for analysis; When a node needs to go offline, the storage system will migrate the data on the node to other nodes in advance to ensure data continuity.

6. The method for digital storage of cultural information as claimed in claim 5, characterized in that: The creating of the multi-dimensional semantic index structure includes distributing the semantic index table to each storage node; When a user initiates a query request, the storage system locates the semantic index table based on the query conditions, obtains cultural information, and selects multiple dimensions for retrieval based on the storage system's support for combined queries; A sorting optimization model is introduced. By analyzing the user's search history, preference settings and current context information, the storage system predicts the cultural information that the user is interested in and displays it to the user first. In addition, the storage system optimizes the distributed hash algorithm, intelligent matching algorithm, lossless compression algorithm, and dynamically adjusts the encryption algorithm based on the user's real-time feedback.

7. The method for digital storage of cultural information as claimed in claim 6, characterized in that: Providing different degrees of information display according to the user's authority level includes providing information display methods according to the semantic index table on each storage node and the authority level of different users; The permission levels include all users, general users, researchers, and administrators; When ordinary users conduct searches, the storage system will display the semantic index tables on each storage node, and ordinary users can browse thumbnails to complete the digital storage of cultural information; When researchers conduct searches, the storage system displays the semantic index tables on each storage node of the application, and completes the digital storage of cultural information according to the researchers’ interests; When the administrator searches, the storage system displays the semantic index tables on all storage nodes. The administrator can view and operate all data, monitor the operating status of the storage system, and complete the digital storage of cultural information.

8. A cultural information digital storage system, based on the cultural information digital storage method according to any one of claims 1 to 7, characterized in that: include, A preprocessing module, which customizes the data collection interface for digital cultural information, collects the data source for digital cultural information according to the data collection interface, matches the data collection interface with the data source, and uses natural language processing to preprocess the matched results; An adjustment module, which, after completing the preprocessing of the matching results, transmits the cultural information to a storage system designed based on cloud computing and distributed architecture, and processes it using a tiered storage strategy, wherein the tiered storage strategy includes using a distributed hash algorithm to dynamically adjust the tiered storage strategy distribution; The storage module performs learning modeling on the metadata generated in the preprocessing stage of the matching results, creates a multi-dimensional semantic index structure, accesses cultural information based on the role-based access control model and attribute encryption model for different types of users and application scenarios, provides different degrees of information display according to the user's authority level, and completes the digital storage of cultural information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for digital storage of cultural information described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for digitally storing cultural information described in any one of claims 1 to 7 are implemented.

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