A management method and system for non-digital assets of film and television based on dynamic control

Abstract

The present invention discloses a management method and system for non-digital assets of film and television based on dynamic control, and the method includes: establishing a dynamic non-digital asset database of film and television, classifying and counting the non-digital assets of film and television to be managed and storing them in the dynamic non-digital asset database of film and television; when a client issues a use request, the management server corresponding to the dynamic non-digital asset database retrieves the non-digital asset data and performs function and index analysis on it to obtain function index data; calls the preset data in the preset underlying database to compare with the function index data, and obtains the comparison status information of the non-digital asset data according to the comparison result; uploads the comparison status information to the cloud management layer through the network access terminal, and performs intelligent control on the non-digital assets in the database through the cloud management layer. The clothing props in the inventory can be managed in time, the damaged items with no repair value can be cleaned up in time, and space can be freed up to save expenses.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic digital data processing, and in particular to a management method and system for film and television non-digital assets based on dynamic control. Background Art

[0002] With the development of economy and the progress of society, computer science and technology have penetrated into all aspects of social life and made great contributions to economic construction. The rapid development of information technology has changed the traditional asset management methods, making the entry, management, and approval of asset information faster and more standardized, and continuously improving work efficiency. At the same time, it is more convenient to retrieve and update asset information, and understand the use of material assets from more aspects, which has positive significance in improving productivity, standardized management and statistics.

[0003] The non-digital asset management system for film and television is a subdivision of the material management system. At present, the traditional non-digital asset management method for film and television has no unified operating system, and the daily management procedures are complicated, so that the costumes and props in the inventory cannot be managed and utilized in a timely manner, which affects them and makes them covered in dust. Therefore, a non-digital asset management method and system for film and television that conforms to the current actual situation is studied, so that all registered costumes and props can be clearly seen on the Internet, while meeting the needs of convenient internal shooting, and achieving certain income effects by leasing to the outside. Damaged items have no repair value and can be cleaned up in time, and space can be made to save unnecessary expenses. Summary of the invention

[0004] In response to the above-mentioned problems, the present invention provides a management method and system for non-digital assets of film and television based on dynamic control, which effectively solves the problems of complicated management of film and television costumes and props, failure to manage and utilize high-value costumes in a timely manner, and clearing of damaged items without repair value.

[0005] A management method and system for non-digital assets of film and television based on dynamic control, comprising the following steps:

[0006] Establish a dynamic film and television non-digital asset database, classify and count the film and television non-digital assets that need to be managed and store them in the dynamic film and television non-digital asset database;

[0007] When the client sends a use request, the management server corresponding to the dynamic film and television non-digital asset database retrieves the non-digital asset data and performs function and index analysis on it to obtain function index data;

[0008] Calling preset data in a preset underlying database to compare with the functional indicator data, and obtaining comparison status information of the non-digital asset data according to the comparison result;

[0009] The comparison status information is uploaded to the cloud management layer through the network access terminal, and the non-digital assets in the database are intelligently managed and controlled through the cloud management layer.

[0010] Preferably, the method of establishing a dynamic film and television non-digital asset database, classifying and counting the film and television non-digital assets to be managed and storing them in the dynamic film and television non-digital asset database, comprises:

[0011] Collect the basic information of non-digital assets of film and television and the spatial information of non-digital assets of film and television required in the dynamic non-digital assets database and make a one-to-one correspondence to obtain the data to be stored;

[0012] Using a change data capture algorithm to detect duplicate data in the data to be stored, and deleting the detected duplicate data;

[0013] Encrypting the processed data to be stored using encryption technology;

[0014] The encrypted data to be stored is multi-dimensionally sorted and mapped through HBase technology and stored in the dynamic film and television non-digital asset database.

[0015] Preferably, when the client sends a use request, the management server corresponding to the dynamic film and television non-digital asset database retrieves the non-digital asset data and performs function and index analysis on it to obtain the function index data, including:

[0016] The acquisition client sends one or more usage requests, and uses the management server corresponding to the dynamic film and television non-digital asset database to retrieve non-digital asset data;

[0017] Retrieve the business function loader in the business process function analysis library and load it into the client application, scan the client's network environment, select the interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database according to the network environment, and create a running container according to the interaction mode;

[0018] generating at least one analysis object using the running container, and initializing the analysis object as a scheduling engine for a main task;

[0019] The real-time non-digital asset data transmitted by the management server corresponding to the dynamic film and television non-digital asset database is analyzed by the scheduling engine for functional indicators such as approval, use, warehousing, leasing, and usage scenarios, and functional indicator data is generated based on the analysis results.

[0020] Preferably, calling preset data in a preset underlying database to compare with the functional indicator data, and obtaining comparison status information of the non-digital asset data according to the comparison result includes:

[0021] Obtain resource information parameters of all film and television non-digital assets according to the preset data in the preset underlying database;

[0022] Respond to the connection request of the management server corresponding to the film and television non-digital asset database;

[0023] Setting parsing parameters according to the connection request, and parsing resource information parameters using the parsing parameters;

[0024] The comparison status information of the non-digital asset data is obtained according to the analysis result, and the obtained comparison status information is saved and waits for network upload.

[0025] Preferably, the comparison status information is uploaded to the cloud management layer through the network access terminal, and the non-digital assets in the database are intelligently managed and controlled through the cloud management layer, including:

[0026] Uploading the comparison status information to the cloud management layer by starting a data upload function at a network access terminal;

[0027] The cloud management layer extracts key information from the comparison status information, and uses a preset convolutional neural network technology to analyze the key information in terms of value dimensions such as the degree of damage to the item, usage scenario, and whether it can be rented;

[0028] Obtaining value information based on the analysis results, and classifying the non-digital assets into useful assets and useless assets based on the value information;

[0029] The value information of the useful assets is updated, and the useless assets are controlled and cleared.

[0030] Preferably, the interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database is selected according to the network environment, including:

[0031] Obtaining interactive status data in various network environment clients and management servers corresponding to dynamic film and television non-digital asset databases;

[0032] Constructing an interactive threshold mapping relationship hierarchy based on request thresholds sent by clients under different network environments based on preset storage and response thresholds received by the management server corresponding to the dynamic film and television non-digital asset database;

[0033] According to the request thresholds corresponding to the different network environments matched by the client, the relationship level is matched with the response thresholds received by the above-mentioned server;

[0034] Determining interaction evaluation values ​​corresponding to a plurality of interaction modes of the state according to the correspondence between the interaction state data and the relationship level;

[0035] According to the interaction evaluation values ​​corresponding to the plurality of interaction modes, an interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database under the network environment is determined.

[0036] Preferably, a preset convolutional neural network technology is used to extract and analyze the value information of the information, such as the degree of damage of the item, the usage scenario, and whether it can be rented, including:

[0037] Performing feature analysis on all resource information in the dynamic film and television non-digital asset database according to a convolutional neural network in a preset convolutional neural network to obtain feature data of the resource information;

[0038] Based on the characteristic data of the resource information, filtering out reference characteristic data corresponding to key information;

[0039] Comparing the reference feature data with the currently extracted feature data of the key information to obtain a comparison result;

[0040] According to the comparison results, the value dimension information of the key information items, such as the degree of damage, usage scenario, and whether they can be rented, is completed.

[0041] Preferably, the encrypted data to be stored is stored in the dynamic film and television non-digital asset database through multi-dimensional sorting and mapping by HBase technology, including:

[0042] Receive the encrypted data to be stored sent by the previous level, and transmit the encrypted data to be stored using the direct transmission method;

[0043] Sort the data segments in the received encrypted data to be stored, and add a sequence number field to each data segment;

[0044] Create an HBase multidimensional sorting mapping table and set the row key, column key, column family, and timestamp;

[0045] Using a sorting mapping cache method, the encrypted data to be stored is stored in the HBase multidimensional sorting mapping table according to the sequence number field;

[0046] Obtaining basic information data of the non-digital asset data of the film and television from the encrypted data to be stored by using the timestamp and dividing it into group data with different amounts of information;

[0047] Determine the mapping attributes and relationship attributes of the column families and column keys of the HBase multidimensional sorting mapping table;

[0048] classifying the grouped data according to the mapping attributes and the key attributes;

[0049] Upload the classified grouped data to the storage node and allocate node resources reasonably;

[0050] The distribution of storage nodes is defined by using the distribution defined by the row vector elements, the storage probability of each storage node is determined, and the storage nodes are sorted according to the size of the storage probability;

[0051] The classified grouped data are sent to each storage node in sequence according to the order of the storage nodes for mapping storage.

[0052] Preferably, obtaining the comparison status information and uploading data through a network access terminal includes:

[0053] In response to a triggering operation of the comparison status information before uploading, calling at least two data uploading protocols;

[0054] Transmitting all data upload protocols to the network access terminal to control it to execute any data upload protocol;

[0055] Based on a preset performance test method, the network access terminal runs each data upload protocol to perform a data upload performance test, and determines the best data upload protocol for the network access terminal based on the performance test results;

[0056] In response to the uploading operation of the comparison status information, receiving the comparison status information by using the network access terminal;

[0057] Based on a preset integration rule, the comparison status information is split into multiple pieces of data, and each piece of data is deduplicated to obtain a processing result;

[0058] Performing data extraction, data integration, and data exchange processing on the processing results, and uploading the processed data to a preset intermediate library;

[0059] Reading a unique identifier of a network receiving terminal, and storing the network receiving terminal in an identification client group of a network access terminal through the unique identifier;

[0060] Connecting the network access terminal and the network receiving terminal to a fixed network and establishing a connection through the optimal upload protocol;

[0061] Sending a data upload request through the network access terminal; retrieving and processing data from the preset intermediate library according to the data upload request;

[0062] Uploading the processed data to a network receiving end, and detecting the uploading operation behavior in real time during the uploading process;

[0063] Analyze the target behavior feature corresponding to the operation behavior, determine whether the target behavior feature matches the preset behavior feature, and if so, detect the upload progress of the processing data until the upload is completed;

[0064] If not, the uploading of the processed information is interrupted and the target behavior characteristics are automatically corrected, and the processed data is re-uploaded according to the corrected target behavior characteristics until the uploading is completed.

[0065] A management system for non-digital assets of film and television that is dynamically controlled, the system comprising

[0066] A data storage module, which establishes a dynamic film and television non-digital asset database, and classifies and counts the film and television non-digital assets that need to be managed and stores them in the dynamic film and television non-digital asset database;

[0067] The indicator analysis module, when the client sends a use request, retrieves the non-digital asset data through the management server corresponding to the dynamic film and television non-digital asset database and performs function and indicator analysis on it to obtain function indicator data;

[0068] A status comparison module, calling preset data in a preset underlying database to compare with the functional indicator data, and obtaining comparison status information of the non-digital asset data according to the comparison result;

[0069] The cloud management and control module uploads the comparison status information to the cloud management layer through the network access terminal, and performs intelligent management and control on the non-digital assets in the database through the cloud management layer.

[0070] Other features and advantages of the present invention will be described in the following description, and partly become apparent from the description, or understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0071] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] The accompanying drawings are used to provide further understanding of the present invention and constitute a part of the specification. They are used to explain the present invention together with the embodiments of the present invention and do not constitute a limitation of the present invention.

[0073] Figure 1 A workflow diagram of a management method for non-digital assets of film and television based on dynamic control provided by the present invention;

[0074] Figure 2 Another workflow diagram of a management method for non-digital assets of film and television based on dynamic control provided by the present invention;

[0075] Figure 3 Another workflow diagram of a management method for non-digital assets of film and television based on dynamic control provided by the present invention;

[0076] Figure 4 A schematic structural diagram of a management system for non-digital assets of film and television based on dynamic control provided by the present invention. DETAILED DESCRIPTION

[0077] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0078] With the development of economy and the progress of society, computer science and technology have penetrated into all aspects of social life and made great contributions to economic construction. The rapid development of information technology has changed the traditional asset management methods, making the entry, management, and approval of asset information faster and more standardized, and continuously improving work efficiency. At the same time, it is more convenient to retrieve and update asset information, and understand the use of material assets from more aspects, which has positive significance in improving productivity, standardized management and statistics.

[0079] The non-digital asset management system for film and television is a subdivision of the material management system. At present, the traditional non-digital asset management method for film and television has no unified operating system, and the daily management procedures are complicated, so that the costumes and props in stock cannot be managed and utilized in a timely manner. Therefore, a non-digital asset management method and system for film and television that conforms to the current actual situation is studied, so that all registered costumes and props can be clearly seen on the Internet, while meeting the needs of convenient internal shooting, and achieving certain income effects by leasing to the outside. Damaged items have no repair value and can be cleaned up in time, making room to save unnecessary expenses.

[0080] A management method and system for non-digital assets of film and television based on dynamic control, such as Figure 1 As shown, the following steps are included:

[0081] Step S101: Establish a dynamic film and television non-digital asset database, classify and count the film and television non-digital assets to be managed, and store them in the dynamic film and television non-digital asset database;

[0082] Step S102: when the client sends a use request, the management server corresponding to the dynamic film and television non-digital asset database retrieves the non-digital asset data and performs function and index analysis on it to obtain function index data;

[0083] Step S103: calling preset data in a preset underlying database to compare with the functional indicator data, and obtaining comparison status information of the non-digital asset data according to the comparison result;

[0084] Step S104: Upload the comparison status information to the cloud management layer through the network access terminal, and perform intelligent management and control on the non-digital assets in the database through the cloud management layer.

[0085] In this embodiment, the film and television non-digital asset database includes data indicators such as type, quantity, status, and grade;

[0086] In this embodiment, the preset underlying database contains resource information of all current film and television non-digital assets.

[0087] The working principle of the above technical solution is: establish a dynamic film and television non-digital asset database, classify and count the film and television non-digital assets that need to be managed and store them in the dynamic film and television non-digital asset database, and when the client issues a use request, the management server corresponding to the dynamic film and television non-digital asset database retrieves the non-digital asset data and performs function and indicator analysis on it, obtains the function indicator data, calls the preset data in the preset underlying database to compare with the function indicator data, obtains the comparison status information of the non-digital asset data according to the comparison result, uploads the comparison status information to the cloud management layer through the network access terminal, and performs intelligent management and control of the non-digital assets in the database through the cloud management layer.

[0088] The beneficial effects of the above technical solution are: by establishing a dynamic film and television non-digital asset database, it is convenient for current users to statistically manage the information resource data they own. When resource information needs to be processed, by comparing the resource information data currently owned by the user with all the film and television resource information used in the current environment, the specific information required by the user can be quickly obtained and managed, so that the user can complete the dynamic control and cleanup of film and television non-digital assets in a timely manner, thereby improving management efficiency.

[0089] In this embodiment, before classifying and counting the film and television non-digital assets to be managed and storing them in the dynamic film and television non-digital asset database, the method further includes:

[0090] Obtain the data source of the non-digital assets to be stored in the film and television, and retrieve the data text from the data source;

[0091] Determine the data byte length of the film and television non-digital assets to be stored according to the data text;

[0092] Obtaining the online public and private keys and offline public and private keys of the data text in the data source, parsing the online public and private keys and offline public and private keys to obtain the corresponding sequences of the two;

[0093] Use the online public and private keys and the offline public and private keys to obtain their corresponding sequences to perform data identity authentication on the non-digital assets of the stored film and television:

[0094]

[0095] Among them, Q represents the data identity authentication result, Yy represents the online private key sequence of the data text of the film and television non-digital assets to be stored, Xy represents the online public key sequence of the data text of the film and television non-digital assets to be stored, Yt represents the offline private key sequence of the data text of the film and television non-digital assets to be stored, and Xt represents the offline public key sequence of the data text of the film and television non-digital assets to be stored; R represents the data byte length of the film and television non-digital assets to be stored; F() represents the perception function, and e represents the data privacy level of the film and television non-digital assets to be stored;

[0096] Determine whether the non-digital asset data to be stored is storage data based on the data identity authentication result.

[0097] The beneficial effects of the above technical solution are: by authenticating the non-digital asset data of film and television, useless data is avoided from being stored in the dynamic non-digital asset database of film and television, thereby occupying memory, and the high quality of the stored data is ensured, thereby achieving reasonable management and control of the entire non-digital assets of film and television, and improving the practicality of non-digital asset management of film and television.

[0098] In one embodiment, Figure 2 As shown, the establishment of a dynamic film and television non-digital asset database, classifying and counting the film and television non-digital assets to be managed and storing them in the dynamic film and television non-digital asset database, includes:

[0099] Step S201, collecting the required basic information of film and television non-digital assets and the spatial information of film and television non-digital assets in the dynamic film and television non-digital asset database and making a one-to-one correspondence to obtain data to be stored;

[0100] Step S202: using a change data capture algorithm to detect duplicate data in the data to be stored, and deleting the detected duplicate data;

[0101] Step S203, encrypting the processed data to be stored using encryption technology;

[0102] Step S204: The encrypted data to be stored is multi-dimensionally sorted and mapped using HBase technology and stored in the dynamic film and television non-digital asset database.

[0103] In this embodiment, the basic information of the non-digital assets of film and television includes information such as type, quantity, and grade;

[0104] In this embodiment, the spatial information is the location where the film and television non-digital assets in the library are stored;

[0105] In this embodiment, the change data capture algorithm is represented as an algorithm for detecting duplicate data in the data to be stored by automatically extracting data from a data source system;

[0106] In this embodiment, the encryption technology adopts RSA encryption processing method;

[0107] In this embodiment, HBase technology is a distributed storage system for structured data;

[0108] The beneficial effects of the above technical solution are: by collecting the basic information and spatial information of non-digital assets of film and television and corresponding them one by one, and saving them as data to be stored, when worthless asset information and asset information that no longer meets the requirements of the current film and television shooting are found, the film and television non-asset equipment in the inventory can be positioned and processed in time according to the corresponding information, thereby improving processing efficiency. At the same time, the extracted storage data is subjected to change data capture algorithm detection, duplicate data is detected and deleted, and the data redundancy of the storage server for the required storage of non-digital assets of film and television is improved. The processed data is encrypted to prevent the data to be stored from being modified arbitrarily and to ensure the authenticity of the data to be stored. Finally, it is stored in a dynamic film and television non-digital asset database through multi-dimensional sorting and mapping through HBase technology, thereby completing the storage of film and television non-digital asset information and reasonably allocating the storage resources of the server to be stored to avoid waste.

[0109] In one embodiment, when the client sends a use request, the management server corresponding to the dynamic film and television non-digital asset database retrieves the non-digital asset data and performs function and index analysis on it to obtain the function index data, including:

[0110] The acquisition client sends one or more usage requests, and uses the management server corresponding to the dynamic film and television non-digital asset database to retrieve non-digital asset data;

[0111] Retrieve the business function loader in the business process function analysis library and load it into the client application, scan the client's network environment, select the interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database according to the network environment, and create a running container according to the interaction mode;

[0112] generating at least one analysis object using the running container, and initializing the analysis object as a scheduling engine for a main task;

[0113] The real-time non-digital asset data transmitted by the management server corresponding to the dynamic film and television non-digital asset database is analyzed by the scheduling engine for functional indicators such as approval, use, warehousing, leasing, and usage scenarios, and functional indicator data is generated based on the analysis results.

[0114] In this embodiment, the network environment may include but is not limited to a local area network and the Internet;

[0115] In this embodiment, the interaction mode may be an interaction mode that can be performed only in a specific network environment;

[0116] In this embodiment, the running container is the place where the client data and the film and television non-digital asset data interact;

[0117] In this embodiment, the scheduling engine of the main task is to schedule the task data that is being performed in the running container;

[0118] The beneficial effect of the above technical solution is: when the client issues a use request, the non-digital asset data is retrieved from the management server corresponding to the dynamic film and television non-digital asset database, and loaded into the client's application through the business function loader in the business function analysis library to retrieve the management server corresponding to the film and television non-digital asset library to create a running container, and the function indicator data is analyzed in the running container to generate function indicator data. The above method can speed up the daily analysis and use of the business function process of the asset, and there are clear business flow records for the corresponding items from approval, use, warehousing and other processes, which lays the foundation for the effective management of subsequent products.

[0119] In one embodiment, Figure 3 As shown, calling the preset data in the preset underlying database to compare with the functional indicator data, and obtaining the comparison status information of the non-digital asset data according to the comparison result, including:

[0120] Step S301, obtaining resource information parameters of all film and television non-digital assets according to the preset data in the preset underlying database;

[0121] Step S302, responding to a connection request from a management server corresponding to the film and television non-digital asset database;

[0122] Step S303: setting parsing parameters according to the connection request, and parsing resource information parameters using the parsing parameters;

[0123] Step S304: Obtain comparison status information of the non-digital asset data according to the analysis result, save the obtained comparison status information and wait for network upload.

[0124] In this embodiment, the resource information parameter is the attribute information of all film and television resources;

[0125] In this embodiment, the parsing parameter is a functional analysis of the indicator data;

[0126] In this embodiment, the comparison status information is information data obtained by comparing the limited basic information with the object status of all film and television resource information;

[0127] The beneficial effect of the above technical solution is: by comparing the status information with the information of the non-digital assets of film and television in the preset underlying database, it is possible to obtain a clear understanding of the use value of the currently owned non-digital assets of film and television and whether they are in a damaged stage and other status information, and to clean up those non-digital assets of film and television that have no repair value in a timely manner, freeing up space and saving unnecessary expenses.

[0128] In one embodiment, the comparison status information is uploaded to the cloud management layer through the network access terminal, and the non-digital assets in the database are intelligently managed and controlled through the cloud management layer, including:

[0129] Uploading the comparison status information to the cloud management layer by starting a data upload function at a network access terminal;

[0130] The cloud management layer extracts key information from the comparison status information, and uses a preset convolutional neural network technology to analyze the key information in terms of value dimensions such as the degree of damage to the item, usage scenario, and whether it can be rented;

[0131] Obtaining value information based on the analysis results, and classifying the non-digital assets into useful assets and useless assets based on the value information;

[0132] The value information of the useful assets is updated, and the useless assets are controlled and cleared.

[0133] In this embodiment, the cloud management layer is an application layer that performs cloud-based control over uploaded data;

[0134] In this embodiment, the key information is the product specifications of the item, the product usage range, etc.;

[0135] In this embodiment, the useful assets are product information such as clothing props that can be reused and have high use value, but are not limited thereto;

[0136] In this embodiment, the useless assets are product information such as damaged clothing props and are not limited thereto;

[0137] The beneficial effect of the above technical solution is: by uploading the obtained comparison status information to the cloud management layer, the cloud management further extracts and analyzes the comparison status information such as the degree of asset damage, usage scenarios, and asset leasing according to the preset convolutional neural network model. Through the above analysis, the problem of assets with extremely high use value being covered in dust due to inadequate control of these equipment due to many factors such as inventory and management can be well solved, and further efficient utilization can be achieved, so that the functional value of turning waste into treasure can be realized.

[0138] In one embodiment, the method further comprises:

[0139] Obtaining interactive status data in various network environment clients and management servers corresponding to dynamic film and television non-digital asset databases;

[0140] Constructing an interactive threshold mapping relationship hierarchy based on request thresholds sent by clients under different network environments based on preset storage and response thresholds received by the management server corresponding to the dynamic film and television non-digital asset database;

[0141] According to the request thresholds corresponding to the different network environments matched by the client, the relationship level is matched with the response thresholds received by the above-mentioned server;

[0142] Determining interaction evaluation values ​​corresponding to a plurality of interaction modes of the state according to the correspondence between the interaction state data and the relationship level;

[0143] According to the interaction evaluation values ​​corresponding to the plurality of interaction modes, an interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database under the network environment is determined.

[0144] The beneficial effect of the above technical solution is: by selecting an interaction method suitable for the client and the corresponding server of the film and television non-digital asset library according to the scanning network environment, the automatic matching of the two can be well completed, and the interactive use method can be further made more intelligent and quick.

[0145] In one embodiment, a preset convolutional neural network technology is used to extract and analyze the value information of the information, such as the degree of damage of the item, the usage scenario, and whether it can be rented, including:

[0146] Performing feature analysis on all resource information in the dynamic film and television non-digital asset database according to a convolutional neural network in a preset convolutional neural network to obtain feature data of the resource information;

[0147] Based on the characteristic data of the resource information, filtering out reference characteristic data corresponding to key information;

[0148] Comparing the reference feature data with the currently extracted feature data of the key information to obtain a comparison result;

[0149] According to the comparison results, the value dimension information of the damage degree, usage scenario, and whether the item can be rented is completed;

[0150] In this embodiment, the feature analysis analyzes specific indicator data such as the type and grade of non-digital assets of film and television;

[0151] The beneficial effects of the above technical solution are: based on a series of learning analyses of the convolutional neural network, valuable information is analyzed, extracted and recorded, which can provide optimized data for subsequent calculation and analysis, achieve more efficient and accurate analysis of valuable information, and provide more convenient and quick information feedback for those non-digital assets of film and television that cannot be managed in time due to omissions.

[0152] In one embodiment, the encrypted data to be stored is stored in the dynamic film and television non-digital asset database through multi-dimensional sorting and mapping by HBase technology, including:

[0153] Receive the encrypted data to be stored sent by the previous level, and transmit the encrypted data to be stored using the direct transmission method;

[0154] Sort the data segments in the received encrypted data to be stored, and add a sequence number field to each data segment;

[0155] Create an HBase multidimensional sorting mapping table and set the row key, column key, column family, and timestamp;

[0156] Using a sorting mapping cache method, the encrypted data to be stored is stored in the HBase multidimensional sorting mapping table according to the sequence number field;

[0157] Obtaining basic information data of the non-digital asset data of the film and television from the encrypted data to be stored by using the timestamp and dividing it into group data with different amounts of information;

[0158] Determine the mapping attributes and relationship attributes of the column families and column keys of the HBase multidimensional sorting mapping table;

[0159] classifying the grouped data according to the mapping attributes and the key attributes;

[0160] Upload the classified grouped data to the storage node and allocate node resources reasonably;

[0161] The distribution of storage nodes is defined by using the distribution defined by the row vector elements, the storage probability of each storage node is determined, and the storage nodes are sorted according to the size of the storage probability;

[0162] The classified grouped data are sent to each storage node in sequence according to the order of the storage nodes for mapping storage.

[0163] In this embodiment, the through transmission method is a direct transmission method without the need for an intermediate auxiliary carrier;

[0164] In this embodiment, the division into different information amounts is to divide different attribute information of the product in the basic information;

[0165] In this embodiment, the mapping attributes are corresponding matching attributes of column families and column keys in multidimensional sorting;

[0166] In this embodiment, the corresponding mapping relationship between column families and column keys in the multidimensional sorting of relationship attributes is

[0167] In this embodiment, defining means defining the space boundary between the storage nodes;

[0168] The beneficial effect of the above technical solution is that it can reasonably plan and utilize the storage resources of the storage server corresponding to the non-digital assets of film and television, avoid data confusion caused by the storage of data in a clustered manner and cause data collapse in the entire storage server, thereby playing a good preventive role.

[0169] In one embodiment, obtaining the comparison status information and uploading data through a network access terminal includes:

[0170] In response to a triggering operation of the comparison status information before uploading, calling at least two data uploading protocols;

[0171] Transmitting all data upload protocols to the network access terminal to control it to execute any data upload protocol;

[0172] Based on a preset performance test method, the network access terminal runs each data upload protocol to perform a data upload performance test, and determines the best data upload protocol for the network access terminal based on the performance test results;

[0173] In response to the uploading operation of the comparison status information, receiving the comparison status information by using the network access terminal;

[0174] Based on a preset integration rule, the comparison status information is split into multiple pieces of data, and each piece of data is deduplicated to obtain a processing result;

[0175] Performing data extraction, data integration, and data exchange processing on the processing results, and uploading the processed data to a preset intermediate library;

[0176] Reading a unique identifier of a network receiving terminal, and storing the network receiving terminal in an identification client group of a network access terminal through the unique identifier;

[0177] Connecting the network access terminal and the network receiving terminal to a fixed network and establishing a connection through the optimal upload protocol;

[0178] Sending a data upload request through the network access terminal; retrieving and processing data from the preset intermediate library according to the data upload request;

[0179] Uploading the processed data to a network receiving end, and detecting the uploading operation behavior in real time during the uploading process;

[0180] Analyze the target behavior feature corresponding to the operation behavior, determine whether the target behavior feature matches the preset behavior feature, and if so, detect the upload progress of the processing data until the upload is completed;

[0181] If not, the uploading of the processed information is interrupted and the target behavior characteristics are automatically corrected, and the processed data is re-uploaded according to the corrected target behavior characteristics until the uploading is completed.

[0182] In this embodiment, the trigger operation refers to a trigger request for the network access terminal to accept a response when the comparison status information is uploaded;

[0183] In this embodiment, the preset performance test method is a method for testing upload performance of different protocols;

[0184] In this embodiment, the preset integration rule is to split the transmitted status comparison information according to the preset rule;

[0185] In this embodiment, data extraction is to extract data from the deduplicated data after the above splitting;

[0186] In this embodiment, the data exchange processing refers to data exchange and reorganization of the above-extracted data;

[0187] In this embodiment, the unique identifier is the identification information of the data information to be uploaded;

[0188] In this embodiment, the upload operation behavior is the behavior of the network access terminal sending a data upload request and retrieving the processed data from the preset intermediate library;

[0189] In this embodiment, the target behavior feature is a target feature formed after analyzing and comparing the above-mentioned operation behavior features;

[0190] The beneficial effects of the above technical solution are: according to the data integration processing in the data to be uploaded, the corresponding data in the uploaded data can be accurately deduplicated and extracted, which can improve the extraction accuracy of the uploaded data, and the automatic matching and uploading of the uploaded data can be realized by using the constructed data behavior feature matching mechanism. In addition, by performing network upload detection on the required uploaded comparison status information, the uploading of erroneous information can be reasonably avoided, and the uploading efficiency of the comparison status information can be improved.

[0191] This embodiment also discloses a simulation early warning system for asset risks, such as Figure 4 As shown, the system includes:

[0192] The data storage module 401 establishes a dynamic film and television non-digital asset database, and classifies and counts the film and television non-digital assets that need to be managed and stores them in the dynamic film and television non-digital asset database;

[0193] The index analysis module 402 retrieves the non-digital asset data through the management server corresponding to the dynamic film and television non-digital asset database and performs function and index analysis on the non-digital asset data to obtain the function index data when the client sends a use request;

[0194] The status comparison module 403 calls the preset data in the preset underlying database to compare with the functional indicator data, and obtains the comparison status information of the non-digital asset data according to the comparison result;

[0195] The cloud management and control module 404 uploads the comparison status information to the cloud management layer through the network access terminal, and performs intelligent management and control on the non-digital assets in the database through the cloud management layer.

[0196] The working principle and beneficial effects of the above technical solution have been described in the method claims and will not be repeated here.

[0197] Other embodiments of the present disclosure will be readily apparent to those skilled in the art after considering the specification and practicing the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0198] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A management method for non-digital assets of film and television based on dynamic control, characterized in that: The following steps are involved: Establish a dynamic film and television non-digital asset database, classify and count the film and television non-digital assets that need to be managed and store them in the dynamic film and television non-digital asset database; When the client sends a use request, the management server corresponding to the dynamic film and television non-digital asset database retrieves the non-digital asset data and performs function and index analysis on it to obtain function index data; Calling preset data in a preset underlying database to compare with the functional indicator data, and obtaining comparison status information of the non-digital asset data according to the comparison result; the preset data includes resource information data of all current film and television non-digital assets; Uploading the comparison status information to the cloud management layer through the network access terminal, and performing intelligent management and control on the non-digital assets in the database through the cloud management layer; The step of establishing a dynamic film and television non-digital asset database and classifying and counting the film and television non-digital assets to be managed and storing them in the dynamic film and television non-digital asset database includes: Collect the basic information of non-digital assets of film and television and the spatial information of non-digital assets of film and television required in the dynamic non-digital assets database and make a one-to-one correspondence to obtain the data to be stored; Using a change data capture algorithm to detect duplicate data in the data to be stored, and deleting the detected duplicate data; Encrypting the processed data to be stored using encryption technology; The encrypted data to be stored is stored in the dynamic film and television non-digital asset database through multi-dimensional sorting and mapping by HBase technology; When the client sends a use request, the management server corresponding to the dynamic film and television non-digital asset database retrieves the non-digital asset data and performs function and index analysis on it to obtain function index data, including: The acquisition client sends one or more usage requests, and uses the management server corresponding to the dynamic film and television non-digital asset database to retrieve non-digital asset data; Retrieve the business function loader in the business process function analysis library and load it into the client application, scan the client's network environment, select the interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database according to the network environment, and create a running container according to the interaction mode; generating at least one analysis object using the running container, and initializing the analysis object as a scheduling engine for a main task; The real-time non-digital asset data transmitted by the management server corresponding to the dynamic film and television non-digital asset database is analyzed by the scheduling engine for functional indicators of approval, use, storage, leasing, and usage scenarios, and functional indicator data is generated according to the analysis results; Calling preset data in a preset underlying database to compare with the functional indicator data, and obtaining comparison status information of the non-digital asset data according to the comparison result, including: Obtain resource information parameters of all film and television non-digital assets according to the preset data in the preset underlying database; Respond to the connection request of the management server corresponding to the film and television non-digital asset database; Setting parsing parameters according to the connection request, and parsing resource information parameters using the parsing parameters; Obtaining comparison status information of non-digital asset data according to the analysis results, and saving the obtained comparison status information and waiting for network upload; The comparison status information is uploaded to the cloud management layer through the network access terminal, and the non-digital assets in the database are intelligently managed and controlled through the cloud management layer, including: Uploading the comparison status information to the cloud management layer by starting a data upload function at a network access terminal; The cloud management layer extracts key information from the comparison status information, and uses a preset convolutional neural network technology to analyze the key information in terms of the degree of damage to the item, usage scenario, and whether it can be rented; Obtaining value information based on the analysis results, and classifying the non-digital assets into useful assets and useless assets based on the value information; The value information of the useful assets is updated, and the useless assets are controlled and cleared.

2. The method for managing non-digital assets of film and television under dynamic control according to claim 1, characterized in that: Selecting an interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database according to the network environment includes: Obtaining interactive status data in various network environment clients and management servers corresponding to dynamic film and television non-digital asset databases; Constructing an interactive threshold mapping relationship hierarchy based on request thresholds sent by clients under different network environments based on preset storage and response thresholds received by the management server corresponding to the dynamic film and television non-digital asset database; According to the request thresholds corresponding to the different network environments matched by the client, the relationship level is matched with the response thresholds received by the above-mentioned server; Determining interaction evaluation values ​​corresponding to a plurality of interaction modes of the state according to the correspondence between the interaction state data and the relationship level; According to the interaction evaluation values ​​corresponding to the plurality of interaction modes, an interaction mode between the client and the management server corresponding to the dynamic film and television non-digital asset database under the network environment is determined.

3. The method for managing non-digital assets of film and television under dynamic control according to claim 1, characterized in that: The preset convolutional neural network technology is used to analyze the key information in terms of the degree of damage, usage scenario, and whether the item can be rented, including: Performing feature analysis on all resource information in the dynamic film and television non-digital asset database according to a convolutional neural network in a preset convolutional neural network to obtain feature data of the resource information; Based on the characteristic data of the resource information, filtering out reference characteristic data corresponding to key information; Comparing the reference feature data with the currently extracted feature data of the key information to obtain a comparison result; According to the comparison results, the value dimension information of the damage degree of the key information items, usage scenarios, and whether they can be rented is completed.

4. The method for managing non-digital assets of film and television under dynamic control according to claim 1, characterized in that: The encrypted data to be stored is stored in the dynamic film and television non-digital asset database through multi-dimensional sorting and mapping by HBase technology, including: Receive the encrypted data to be stored sent by the previous level, and transmit the encrypted data to be stored using the direct transmission method; Sort the data segments in the received encrypted data to be stored, and add a sequence number field to each data segment; Create an HBase multidimensional sorting mapping table and set the row key, column key, column family, and timestamp; Using a sorting mapping cache method, the encrypted data to be stored is stored in the HBase multi-dimensional sorting mapping table according to the sequence number field; Obtaining basic information data of the non-digital asset data of the film and television from the encrypted data to be stored by using a timestamp and dividing it into grouped data with different amounts of information; Determine the mapping attributes and relationship attributes of the column families and column keys of the HBase multidimensional sorting mapping table; classifying the grouped data according to the mapping attributes and the key attributes; Upload the classified grouped data to the storage node and allocate node resources reasonably; The distribution of storage nodes is defined by using the distribution defined by the row vector elements, the storage probability of each storage node is determined, and the storage nodes are sorted according to the size of the storage probability; The classified grouped data are sent to each storage node in sequence according to the order of the storage nodes for mapping storage.

5. The method for managing non-digital assets of film and television under dynamic control according to claim 1, characterized in that: Acquiring the comparison status information and uploading data through a network access terminal includes: In response to a triggering operation of the comparison status information before uploading, calling at least two data uploading protocols; Transmitting all data upload protocols to the network access terminal to control it to execute any data upload protocol; Based on a preset performance test method, the network access terminal runs each data upload protocol to perform a data upload performance test, and determines the best data upload protocol for the network access terminal based on the performance test results; In response to the uploading operation of the comparison status information, receiving the comparison status information by using the network access terminal; Based on a preset integration rule, the comparison status information is split into multiple pieces of data, and each piece of data is deduplicated to obtain a processing result; Performing data extraction, data integration, and data exchange processing on the processing results, and uploading the processed data to a preset intermediate library; Reading a unique identifier of a network receiving end, and storing the network receiving end in an identification client group of a network access end through the unique identifier; Connecting the network access terminal and the network receiving terminal to a fixed network and establishing a connection through the optimal upload protocol; Sending a data upload request through the network access terminal; retrieving and processing data from the preset intermediate library according to the data upload request; Uploading the processed data to a network receiving end, and detecting the uploading operation behavior in real time during the uploading process; Analyze the target behavior feature corresponding to the operation behavior, determine whether the target behavior feature matches the preset behavior feature, and if so, detect the upload progress of the processing data until the upload is completed; If not, the uploading of the processed information is interrupted and the target behavior characteristics are automatically corrected, and the processed data is re-uploaded according to the corrected target behavior characteristics until the uploading is completed.

6. The management system of the management method of the film and television non-digital assets based on dynamic control according to claim 1 is characterized in that: The system includes: A data storage module, which establishes a dynamic film and television non-digital asset database, and classifies and counts the film and television non-digital assets that need to be managed and stores them in the dynamic film and television non-digital asset database; The indicator analysis module, when the client sends a use request, retrieves the non-digital asset data through the management server corresponding to the dynamic film and television non-digital asset database and performs function and indicator analysis on it to obtain function indicator data; A status comparison module, calling preset data in a preset underlying database to compare with the functional indicator data, and obtaining comparison status information of the non-digital asset data according to the comparison result; The cloud management and control module uploads the comparison status information to the cloud management layer through the network access terminal, and performs intelligent management and control on the non-digital assets in the database through the cloud management layer.

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