17results about How to "Improve data access efficiency" patented technology

The invention discloses a cache management method, electronic equipment, a storage medium and a program product, and relates to the technical field of data storage, and the method comprises the following steps: obtaining current operation data of a storage system in a current period, determining current access popularity corresponding to a plurality of data blocks according to the current operation data, and storing the data blocks according to the current access popularity. The resource allocation of the target cache is dynamically adjusted, the problem that the data access efficiency of a storage system in the related technology is low is solved, and the technical effect of improving the data access efficiency of the storage system is achieved.

The invention discloses a laser radar positioning and three-dimensional mapping method based on an implicit neural field, and belongs to the technical field of positioning and mapping. The method comprises the following steps: for first frame data in radar point cloud data, converting an input sampling point from a sensor coordinate system to a world coordinate system by using a unit matrix or a constant matrix to initialize a map; the hierarchical potential features are optimized in a self-supervision mode, an octree data structure is used for storing the optimized potential features to generate a potential feature set, and features in the potential feature set are decoded into symbol distance values through a shallow multilayer perceptron (MLP); starting from a second frame of data of the radar point cloud data, obtaining a predicted pose through a matching mode from the frame to the implicit map every time a frame is input; converting a new input point into a world coordinate system by using the obtained predicted pose, and determining whether a new potential feature needs to be added or not according to a Morton value of the new input point; and completing the construction of the NSDF by repeating the operations of predicting the pose and expanding the NSDF.

The invention discloses a database storage method, which realizes high optimization of a storage space by finely classifying key value pairs and storing the key value pairs in different regions. The recovery frequency is dynamically adjusted, only the key value pairs marked as deleted are erased, storage fragments and the erasure frequency are reduced, the storage efficiency is improved, and the service life of storage equipment is prolonged. When the sectors are recycled, adjacent idle and invalid sectors are combined, so that the storage space utilization rate and the access efficiency are improved. When the new key value pairs are stored, the new key value pairs are preferentially distributed from the combined sector pool, the storage process is simplified, and the response speed is increased. The data access frequency and the sector erasure life are combined, the merged sectors are finely grouped, resource allocation is optimized, and the data access efficiency is improved. And meanwhile, a direct local modification technology is adopted, so that data migration and rewriting are reduced, and the updating operation efficiency is improved.

The application relates to the technical field of railway traffic, in particular to a data temperature evaluation method and device for heavy-load railway electric service data, computer equipment and a storage medium. The method comprises the following steps: obtaining initial hotness evaluation values of a plurality of business data objects in heavy-load railway electric service and correlation relationship parameters between any two business data objects; determining a current hotness value of a target business data object based on access information, a historical hotness value and a time decay model of the target business data object; determining hotness conduction increments of other business data objects associated with the target business data object based on the correlation relationship parameters and the current hotness value of the target business data object, and updating the current hotness values of the other business data objects by combining the historical hotness values of the other business data objects and the time decay model; and performing hierarchical storage management on the plurality of business data objects based on the current hotness values of the business data objects.

The invention relates to a fragment migration method for database middleware and computer equipment. In response to a migration event sent by the management and control node, entering an emigration persistence state, modifying and storing the state of a target fragment of an emigration node as an emigration state; if the emigration state is successfully stored, the state machine enters an emigration state and sends an emigration request to an emigration node, enters an immigration persistence state under the condition that an emigration success event is received, and modifies and stores the state of the target fragment as an immigration state; and if the immigration state is successfully stored, the state machine enters the immigration state, sends a first immigration request to the immigration node, enters a migration ending persistence state under the condition that a first immigration success event is received, and modifies and stores the state of the target fragment as a migration ending state. According to the embodiment of the invention, through the cooperative work of the state machine, the immigration node and the immigration node, the migration of the fragments between the service nodes is completed, the delay of the high-load service node is reduced, and the data access efficiency is improved.

The invention discloses a data display method and system based on multi-source data fusion, and relates to the technical field of big data. When the system runs, data feature extraction is carried out on access information of a user through a log extraction module, and a data type log information group is formed; performing type classification marking, quantity marking and data state information marking on the data type log information group through a data type marking module to obtain a data marking information group, and processing through a type level extraction module to form a first data set, a second data set and a third data set; a data cache index module analyzes and obtains a data type processing index Clzs, a data cache index is obtained after matching, an evaluation scheme is established, specific execution is carried out according to the content of the scheme, the user query access rate is dynamically evaluated, the resource utilization rate is improved for data display, and the user experience is improved. And the multi-source data fusion display effect can be displayed more effectively and quickly.

The application discloses a data storage management method and device of a multifunctional display support, and the method comprises the following steps: determining current user identity information based on fingerprint image data and determining an operation state label based on pressing pressure time sequence data; determining a target access probability prediction matrix according to the current user identity information and the operation state label; determining a target prefetch data block quantity, a target prefetch depth and a target prefetch data block granularity based on the operation state label, and determining a prefetch data block set in a low-speed storage area according to the target prefetch data block quantity, the target prefetch depth and the target access probability prediction matrix; and loading the prefetch data block set from the low-speed storage area to a special cache partition area in a high-speed storage area which is bound to the current user identity information according to the target prefetch data block granularity. According to the technical scheme, the data access efficiency of the multifunctional display support is improved, the data security protection capability is enhanced, and efficient, stable and safe data storage management is realized.

The invention relates to the technical field of data storage, in particular to data storage equipment and a data storage system.The data storage equipment comprises a storage medium body, and a server cabinet body used for storing the storage medium body is further arranged on the outer side of the storage medium body. When the storage medium body works, heat can be generated, so that the temperature in the server cabinet main body can be continuously increased, the expansion liquid expands, and the higher the temperature is, the larger the expansion volume of the expansion liquid is; the temperature in the server cabinet main body is difficult to reduce through the heat dissipation opening, and the controller controls the heat dissipation fan to start to quickly dissipate heat; the efficient data storage system provided by the invention not only has remarkable advantages in the aspects of storage performance, data access speed, fault-tolerant capability and the like, but also can adapt to the requirements of different application scenes due to a flexible storage structure and an intelligent management mode, and has wide application prospects and market values.

Embodiments of the present application provide a data access method and device, electronic equipment and storage medium. The data access method is applied to a computer device. An operating system of the computer device includes a user-mode file system, an interceptor, a sandbox and a first cache area. The interceptor, the sandbox and the first cache area are all set in a kernel mode of the operating system. The method comprises the following steps: receiving data access information sent by an application program through the interceptor, and sending the data access information to the sandbox; acquiring target data in the first cache area and sending the target data to the interceptor through the sandbox when it is detected according to the data access information that the target data exists in the first cache area; the user-mode file system comprises a second cache area set in a user mode of the operating system, and the first cache area shares data in the second cache area; and returning the target data to the application program through the interceptor. The data access path can be reduced, the access delay can be reduced, and the data access efficiency can be improved.

The embodiment of the invention provides a unified authentication system access method and device, computer equipment, a storage medium and a computer program product, and relates to the technical field of Internet. The method comprises the following steps: receiving a data access request triggered by an access user through a data access terminal, and determining a target access platform corresponding to the data access request according to the data access request; if the user account of the access user meets the regional access permission and the platform access permission of the target access platform, initiating an agent request for the data access request to the target access platform; the target access platform is used for acquiring a data providing packet according to the proxy request and returning the data providing packet to the authentication server; receiving a data providing packet sent by the target access platform, and sending the data providing packet to the data access terminal; and the data access terminal is used for analyzing and displaying the data providing packet. According to the method, the security and efficiency of data access are improved.

The invention relates to an intelligent terminal decentralized data storage and calling method and system and a storage medium, and the method comprises the steps: enabling a cloud data center to divide total data into a plurality of logic data fragments, distributing a main storage region, and generating and maintaining a general table key rule library; issuing the data items to the regional monitoring equipment; the method comprises the following steps: storing data items in an intelligent terminal through regional monitoring equipment, recording a mapping relationship between data item identifiers and intelligent terminal addresses storing the data items, and forming and maintaining a metadata index table; when the first intelligent terminal obtains target data, a query request is sent to the area monitoring equipment of the area; querying the metadata index table through the region monitoring equipment, determining an address of a second intelligent terminal storing the target data, and returning the address; and establishing point-to-point connection with the second intelligent terminal based on the returned address to obtain target data. The cloud storage pressure is reduced, the data access efficiency is improved, and the system reliability is enhanced.

The invention relates to the technical field of energy storage data processing, in particular to a novel intelligent energy storage station energy storage data distributed storage method and system, and the method comprises the steps: determining the energy storage data of each battery in a novel intelligent energy storage station per minute; determining a integrating degree reward value when each storage action is executed on the energy storage data of each battery per minute; based on a predetermined spatial distance between each battery and each storage node, performing weighting processing on the integrating degree reward value to obtain a final reward value for storing the energy storage data of each battery per minute to each storage node; based on the final reward value, determining an optimal distributed storage strategy through a reinforcement learning algorithm; and storing the energy storage data of each battery per minute according to the optimal distributed storage strategy. According to the scheme provided by the invention, the related energy storage data of the same battery can be effectively aggregated into the closer storage nodes, so that the subsequent data access and retrieval efficiency is remarkably improved.

The application provides a data multidimensional analysis method and device for the insurance industry, which comprises the following steps: acquiring all dimensional information for risk analysis of the insurance industry; acquiring all index information for measuring risk of the insurance industry; associating the dimensional information, the index information and entity table relations in a database through a knowledge graph, and constructing a fact table based on the association result; establishing a metadata model based on the dimensional information, the index information and the fact table, wherein the metadata model is an entity relation model; inputting dimensional information and index information to be analyzed for risk into the metadata model, and obtaining a fact table with minimum query cost; and obtaining an optimal query path meeting a query condition and a query result corresponding to the optimal query path based on the fact table with minimum query cost. The method can realize fast response of big data multidimensional analysis and improve user experience.

The invention discloses a chart selection rendering method and device for realizing stepless zooming of an electronic chart, and a medium. The method comprises the following steps: determining a chart editing scale range; screening mapsheets according to a chart editing scale range and dividing the mapsheets into reduced, matched and enlarged mapsheet sets; calculating the longitude and latitude range of the current screen viewport under the current screen display scale; calculating a rendering sea chart sheet minimum set from the matched sheet set, the amplified sheet set and the reduced sheet set; judging whether the minimum set of the rendering sea chart sheet is cached or not, and if yes, selecting the tile with the closest proportional scale for rendering; otherwise, loading the mapsheet, cutting the mapsheet into tiles and storing the tiles in the memory; calculating latitude and longitude ranges of the prediction area under different scales, adding the latitude and longitude ranges into the to-be-cached area, and calculating a to-be-cached sea chart sheet minimum set from the matched sheet set, the amplified sheet set and the reduced sheet set; and loading the mapsheet, cutting the mapsheet into tiles, and storing the tiles in a memory. According to the method, the chart data can be quickly and clearly presented.

The application relates to a grid unit data query method and system, and belongs to the technical field of data processing. The method solves the problems that the storage space occupied by large-scale grid data is large, and the read-write and transmission occupation time is long in the prior art. The method comprises the following steps: receiving an index of a grid unit to be queried and a grid grouping ID to which the grid unit belongs; acquiring each grid unit set contained in a grid grouping according to the grid grouping ID; the grid unit set is a data set of the same type of grid unit, and comprises a unit type, a unit quantity, a starting index and a unit topology array; sequentially calculating the grid unit set to which the index of the grid unit to be queried belongs according to the starting index and the unit quantity of each grid unit set, and taking the grid unit set as a target unit set; extracting the index of each grid point in the grid unit to be queried from the unit topology array of the target unit set, and obtaining the coordinates of each grid point of the grid unit to be queried in a global grid point array. Efficient access of grid unit data is realized.

The embodiment of the invention provides an information retrieval method and system for comprehensive management of electric power data samples, and belongs to the technical field of Internet and computing. The information retrieval method comprises the following steps: obtaining a retrieval text and a retrieval picture input by a user; performing feature extraction on the retrieval text to obtain meta-tag features; searching according to the meta-tag features to obtain a first search result; performing feature extraction on the retrieval picture to obtain scene features; searching according to the scene features to obtain a second search result; calculating the similarity degree of the first search result and the second search result; judging whether the similarity degree is greater than or equal to a preset threshold value or not; and displaying the first search result and the second search result under the condition that the similarity degree is judged to be greater than or equal to the threshold value. According to the information retrieval method and system, the access efficiency of the power database can be improved.

This application discloses a method, apparatus, device, and medium for processing electricity customer evaluation data, belonging to the field of data processing. The method comprises: generating node scores for distributed nodes based on the operational data corresponding to each distributed node; the distributed nodes include storage nodes and computing nodes; when an evaluation data processing task is received, determining several target storage nodes from the storage nodes according to the data required for the evaluation data processing task; grouping the target storage nodes according to a first network communication distance between each target storage node to obtain at least one storage node group; determining the target computing node corresponding to each storage node group from all computing nodes according to the node scores; and processing the customer evaluation data of each target storage node in the corresponding storage node group through the target computing node. Therefore, by implementing this application, the problem of low efficiency in processing electricity customer evaluation data in a distributed environment can be solved.