9results about How to "Guaranteed storage efficiency" patented technology

The invention relates to the technical field of computer storage, and discloses a computer memory data processing system, which comprises the following modules: an intelligent cache prefetching module, which is used for predicting a future memory access address based on deep learning and reinforcement learning technologies and loading data into a cache in advance; the heterogeneous storage management module is used for dynamically classifying the data based on the data popularity value and realizing migration of the data among different storage media; and the storage consistency guarantee module is used for managing the data consistency among different storage layers through the improved MES I protocol. Cache prefetching is optimized by introducing deep learning and reinforcement learning technologies, and by predicting a future memory access address in real time and loading data in advance, the system effectively reduces the cache missing rate, improves the cache hit rate, remarkably reduces the memory access delay, and improves the memory access efficiency. And the system can keep more efficient data access performance in a large-scale data processing scene.

The invention discloses a method and device for improving reliability of data in a solid state disk and a storage medium, and the method for improving the reliability of the data in the solid state disk comprises the steps that programming progress detection is conducted on migration data migrated from a single-layer unit flash memory to a four-layer unit flash memory in the solid state disk, and the current programming progress of the migration data is obtained; in response to the situation that the current programming progress does not meet the complete programming progress of the migration data, timing processing is conducted on the current programming progress, and programming waiting time is obtained; in response to the fact that the programming waiting time is larger than a preset time threshold value, determining to-be-supplemented data according to the current programming progress of the migration data and the complete programming progress of the migration data; and migrating the data to be supplemented into the four-layer unit flash memory. According to the scheme, the data reliability in the solid state disk can be improved.

This invention belongs to the field of integrated circuit design technology, specifically relating to a method for optimizing integrated circuit design data. This method first constructs a "tool-layer-semantic" data acquisition architecture, integrating multi-channel parallel acquisition units to collect heterogeneous data from multiple sources. Compliance pre-verification is performed through hardware logic circuits and a verification rule base, extracting key data identifiers. A three-level incremental compression strategy based on key data priority, combined with an intelligent index integrating multi-dimensional indexes, is used for compression and storage. The stored data undergoes multi-dimensional optimization, including semantic deduplication, priority optimization, format conversion, and source quality backtracking, forming a unified format optimized semantic. Through an interactive interface, it is adapted and interacted with electronic design automation tools. After consistency verification and performance testing feedback loops, the final design data and full-process traceability information are obtained and stored. This invention achieves unified management, efficient compression, intelligent optimization, and full-process traceability of design data.

The utility model relates to the technical field of power electronics, and discloses a superconducting energy storage device which comprises a shell, the front side and the rear side of the shell are each provided with four first damping rods, and connecting plates are fixedly connected among the four adjacent first damping rods. And the left side and the right side of the shell are each fixedly connected with two second damping rods, a side plate is fixedly connected between every two adjacent second damping rods, the left side and the right side of the shell are each provided with four rotating rods, and the opposite ends of every two front-back adjacent rotating rods are rotationally connected with the adjacent connecting plates. According to the shock absorber, when the connecting plate is collided, the first constant force spring and the first damping rod on the inner side can buffer the collision, meanwhile, the rotating rods on the two sides extrude the side plates on the two sides, the side plates on the two sides are pulled by the second constant force spring and the second damping rod for buffering, and therefore secondary buffering on the collision is achieved; and the impact is prevented from directly acting on the energy storage device in the shell.

The present invention provides a drug traceability system and access optimization method based on blockchain, which relates to the technical field of drug traceability. The user's storage instructions and the drug data to be stored are input into the system through an input module; the input module transmits the received drug data to the classification storage module; the classification storage module stores different types of data in a database or blockchain; the input module transmits the user's query instructions and the information to be queried to the query module; the query module inputs the query results into a transaction graph construction module or an output module according to the query instruction type; the transaction graph construction module constructs the transaction graph required for drug traceability, and transmits the transaction graph to the output module in the form of data information and image information; the output module feeds back all the received information to the user; the system and method combine the centralized database with the blockchain technology, which not only ensures the high efficiency of storage and query, but also ensures that the key information of drug transactions cannot be easily tampered with.

The present invention discloses an intelligent partitioning system in a distributed scenario. The bottom layer of the system includes computing nodes and is connected to a storage engine. The real-time incoming financial data flow is calculated and stored by the bottom layer of the system, and then the data processing information is transmitted to the cluster perception module. The cluster perception module is used to analyze the distribution of each key value and read-write pressure in the data; the obtained distribution is input into the intelligent prediction module, and the distribution of read-write requests for each key value in the data in the future is predicted in real time through an online learning algorithm; and the skewness of the hot data of the current cluster is evaluated. When the skewness exceeds the threshold, the intelligent partition migration module receives the prediction result of the prediction unit, calculates a new partition table, and performs a partition migration operation to achieve the purpose of balancing the future pressure of the cluster. The present invention is applicable to the business field of financial scenarios, and can significantly reduce the hotspot situation of the storage system and improve the response speed of the system.

Embodiments of the present disclosure provide an indirect memory copy method, a processing unit, a computing device and a system. The processing unit of the embodiments of the present disclosure comprises an operation unit, an addressing unit and an index cache, and the addressing unit and the index cache are located between the main storage area outside the processing unit and the operation unit. The operation unit executes an indirect memory copy instruction, and the indirect memory copy instruction at least has a base address, an index address and a destination address, so as to send the index address to the index cache and send the base address and the destination address to the addressing unit; the index cache loads a corresponding index from the main storage area according to the index address and sends the index to the addressing unit; the addressing unit determines a source address of the main storage area corresponding to source data according to the base address and the index; and the addressing unit loads the source data from the main storage area according to the source address and sends the source data to the destination address of the internal cache of the operation unit. The scheme of the embodiments of the present disclosure saves the computing resources of the operation unit itself.

This utility model discloses an intelligent storage, conveying, and suction structure, relating to the field of storage and suction technology. It includes a first outer shell; a material box is integrally formed on the top of one end of the first outer shell; a centrifugal suction machine is fixedly installed on the material box; a auger roller is fitted inside the first outer shell; one end of the auger roller is fixedly installed to a first motor; the first motor is fixedly installed at the end of the first outer shell; a second outer shell is movably installed at the end of the first outer shell away from the first motor via a bearing; a spiral tooth is integrally formed on the surface of the second outer shell; a discharge port is opened at the end of the second outer shell away from the first outer shell; the end of the second outer shell with the discharge port is placed inside a storage device, and the centrifugal suction machine is fixedly installed on the material box, enabling the material to be stored to be drawn into the material box. The material entering the material box is driven by the first motor to rotate the auger roller, thus being conveyed forward to the second outer shell and discharged from the discharge port at the end of the second outer shell.

The present invention discloses an online intelligent leasing supervision system and method based on blockchain, and relates to the technical field of leasing supervision. The system comprises: a leasing product push module, a leasing tracking management module, a leasing intelligent contract supervision module, and a blockchain intelligent supervision module. After receiving a user's product leasing request, the present invention can capture the information of the rentable products for processing, and construct a corresponding optional leasing product catalog for the user for display, instead of directly generating relevant leasing orders according to user requests. The information of the rentable products is processed in the early stage of order generation, which can effectively ensure the mutual matching between the leasing products and the user's needs, thereby avoiding the reduction of user experience, and also helping to reduce the management difficulty in the leasing process, and providing guarantee for the overall operational efficiency of the leasing.