38results about How to "Save storage resources" patented technology

The application provides a low-grade oil reservoir water injection development effect evaluation method, comprising the following steps: S1, collecting core scale limit oil displacement efficiency data; S2, collecting well pattern controlled reserve degree data; S3, calculating sweep efficiency of the low-grade water drive oil reservoir; S4, correcting the sweep efficiency according to the changes of reservoir physical property parameters caused by near-well pollution and reservoir energy decline; and S5, calculating the reference recovery rate and evaluating the development effect. The application can effectively avoid collecting and arranging a large number of cumbersome production dynamic data, fully utilize the flow characteristics and dynamic physical property parameter evolution of the low-grade oil reservoir, accurately evaluate the development effect of the low-grade oil reservoir, and be beneficial to efficient development of the low-grade oil reservoir.

The invention discloses a full-process visual monitoring and intelligent management method for a glass bracket production line, and relates to the technical field of industrial quality control, and the method comprises the steps: carrying out the continuous image collection of all stations of the glass bracket production line through an image collection unit, and constructing a full-process image data sequence; detecting the size of the glass bracket by using the qualified glass bracket size image database, and judging whether the size is abnormal or not; further performing defect detection on the glass bracket with the normal size, and determining whether an abnormal defect exists or not through pixel value difference analysis; and finally, summarizing the glass brackets with abnormal sizes or defects and related information thereof, and generating a visual quality report, so as to quickly position problems and optimize the production process. The comprehensive monitoring and intelligent management of the glass bracket production process are realized, and the production efficiency and the product quality are improved.

This invention discloses a method and system for managing chat logs based on a storage network, relating to the field of log management technology. The method includes the following steps: S1, constructing an interaction matrix; S2, constructing an association matrix; S3, calculating participation; S4, outputting summary text; and S5, assessing risk coefficients. This invention effectively divides different chat logs by constructing an interaction matrix and marks chat logs within the same conversation segment. After the initial construction of the interaction matrix, to further conserve storage resources, the position values ​​in the matrix are optimized: if the logical correlation between two chat logs is weak, the value at the corresponding matrix position is reset to zero, thus avoiding redundant storage; while for strongly correlated log pairs, their position value is retained as 1. This design quantifies the connection strength between chat logs, thereby reflecting the closeness of the relationship between users.

The invention discloses a seismic data acquisition method and system. The method comprises the following steps: a seismograph and excitation equipment acquire satellite time service time, the seismograph synchronizes the time of the seismograph with the satellite time service time, and the excitation equipment synchronizes the time of the excitation equipment with the satellite time service time; the excitation equipment generates an excitation request and sends the excitation request to the seismograph; the seismograph receives the excitation request and processes the excitation request to obtain excitation information and acquisition information; the seismograph sends excitation information to the excitation equipment; when the excitation equipment detects that the satellite time service time is the same as the excitation time in the excitation information, the excitation equipment controls the seismic source to generate seismic waves; and when the seismograph detects that the satellite time service time is the same as the data acquisition time in the data acquisition information, starting to synchronously acquire seismic waves based on the data acquisition time to obtain seismic data. According to the method, the time synchronism between the excitation equipment and the seismograph and the accuracy of seismic data are improved.

Example embodiments of the present disclosure provide a mask plate processing method, an electronic device and a storage medium. The method comprises: obtaining a plurality of layout entities of a circuit layout on a plurality of mask plates, wherein each layout entity has a corresponding pattern shape; dividing the plurality of layout entities into a plurality of categories based on the pattern shape of the layout entity, so that the layout entities belonging to the same category have the same pattern shape; and storing the layout entities belonging to the same category in the same storage area in the memory based on the classification result. The processing method of the circuit layout on the mask plate according to the present disclosure can save storage resources and improve data retrieval speed.

This application relates to the field of printed image color management technology, and in particular to a method, apparatus, computer device, and medium for generating a print preview image. The method includes: obtaining a gamut factor, a white balance factor, a hue response function, and a saturation function based on the printing scheme of the image to be printed and the default printing scheme corresponding to a mapping table; obtaining a first color value for each node based on the PreviewRGB value corresponding to each node in the mapping table; determining a second color value for the node based on the product of the gamut factor and the first color value of the node; obtaining a temporary RGB value for the node based on the product of the white balance factor, the hue response function, and the PreviewRGB value; obtaining a third color value for the node based on the temporary RGB value; obtaining a fourth color value based on the saturation function and the third color value of the node; converting the fourth color value into a target PreviewRGB value to obtain an updated mapping table; and generating a print preview image based on the updated mapping table. This method can save memory.

According to the high-speed non-2-power point FFT device based on the small SPRAM, only the word SPRAM is used as a data buffer area, and consumption of storage resources is low. According to the method, a mapping mode of conflict-free access to the SPRAM is designed, three block mapping modes are given, and the data throughput rate is increased; according to the method, the calculation sequence of butterfly operation of each dimension and each level is optimized, high-order base butterfly operation is adopted, low-order base butterfly operation is processed in parallel, and the calculation time is shortened. The method is compatible with various points, and can be applied to LTE communication and broadcasting systems.

The application discloses a kind of vehicle remote safety control methods, comprising: S1: generating the private key of each control terminal and the public key corresponding to each private key, the private key of each control terminal is distributed to the corresponding control terminal, and based on the public key corresponding to each private key, generate uniform aggregation public key distribution to electric vehicle end;S2: control terminal generates control instruction for electric vehicle in real time, the hash value of control instruction is encrypted based on own private key, and generate digital signature, wherein, the control instruction contains current time stamp;S3: control terminal sends control instruction and corresponding digital signature to electric vehicle end by wireless communication protocol;S4: electric vehicle end uses uniform aggregation public key to verify the control instruction and corresponding digital signature received, and according to the verification result, executes or rejects the control instruction.The application guarantees the integrity of control instruction, unforgeable and tamper-proof, realizes multiple private key signature, single public key verification.

The invention discloses a data reporting method, device and equipment and a storage medium, relates to the field of vehicle-mounted equipment, is applied to target vehicle-mounted equipment, and comprises the following steps: starting a target background application on the target vehicle-mounted equipment, reading and analyzing the target configuration file by utilizing the target background application to determine a target report item switch, target report configuration and target report parameters; the target configuration file is a JSON file; acquiring data of a target report item of the target vehicle-mounted equipment based on the target report item switch by using the target data acquisition interface to obtain a target data packet; and determining a target reporting path and target reporting logic corresponding to the target vehicle-mounted equipment based on target reporting configuration and the target reporting parameter, and reporting the target data packet through the target reporting path based on the target reporting logic. According to the invention, flexible reporting of the data of the vehicle-mounted equipment is realized.

The embodiment of the invention provides a fragmented message processing method and device, intermediate network equipment and a readable storage medium. The method comprises the following steps: receiving a fragmented message, wherein header information of the fragmented message comprises an initial fragmentation identifier; recording the fragmented message in a fragmented cache table of a data packet to which the fragmented message belongs; and if the initial fragmentation identifier indicates that the fragmentation message is the first fragmentation message of the data packet, creating a connection table of the data packet according to the fragmentation message, and processing and sending the fragmentation message in the fragmentation cache table according to a processing logic included in the connection table. According to the embodiment of the invention, message recombination is not carried out on the intermediate network equipment which does not need to analyze the data packet, so that storage resources and computing resources are saved, and the performance and forwarding efficiency of the intermediate network equipment are improved.

The invention discloses a file-system-free embedded small-capacity storage data security management method and system. The method comprises the following steps: dividing a physical address area except a storage address of a first read-write mark of a memory into a plurality of double-backup storage data areas and a plurality of multi-backup storage data areas; when the storage data is important data, writing the storage structure into two backup areas in a double-backup storage data area at the same time; during reading, data reading and coverage are carried out according to the stored data which are sequentially checked in the two backup areas; when the service life of the erasing times of the memory is lower than a set quantity threshold value and the memory is used for storing data needing to be stored frequently, adding one to a data number mark in a storage structure in each time of storage, and selecting a backup area number written into a multi-backup data storage area according to the data number; and during reading, reading is carried out according to the data number. According to the method, the problems that data storage of a file-free system may be abnormally lost and the memory may be damaged by frequently written data are solved.

The embodiment of the application belongs to the field of big data, and relates to a storage cleaning method and device for Hadoop, computer equipment and a storage medium. The method comprises the following steps: obtaining a SQL execution log; analyzing the SQL execution log to obtain historical access information of each data table in Hadoop; generating a cleaning strategy based on the historical access information, wherein the cleaning strategy is a cleaning strategy corresponding to each type of data table in Hadoop; cleaning each data table in Hadoop according to the cleaning strategy to clean the storage of Hadoop; generating cleaning feedback information based on the historical access information, and sending the cleaning feedback information to a preset terminal, wherein the cleaning feedback information is used for storage optimization of Hadoop. In addition, the application also relates to blockchain technology, and the SQL execution log can be stored in the blockchain. The application comprehensively cleans the storage of Hadoop, and reduces the waste of Hadoop storage resources.

The invention provides an automatic test system and method for a path planning rack. The automatic test system for the path planning rack comprises a hardware equipment group and a software module group running on the hardware equipment group, the hardware equipment group comprises a PC terminal which serves as a core control end and is used for running a test control program, storing test data and analyzing a test result; the cabin rack is used for simulating a real cabin navigation operation environment of the automobile; and the intelligent navigation control rack is used for providing interface support for an intelligent driving system and realizing communication linkage between the cabin rack and the intelligent driving system. The automatic test system and method for the path planning rack have the advantages of being capable of achieving automatic and efficient verification of path planning instruction issuing, communication stability, result accuracy and system pressure.

The application provides a shortest path determination method, device, equipment and medium. The method comprises the following steps: generating a public key and a corresponding private key, and sending the public key to a cluster node; obtaining encrypted address information sent by the cluster node, and decrypting the encrypted address information according to the private key to obtain address information of the cluster node; determining address information of a user node, and determining an address information tree according to the address information of the user node and the cluster node, wherein a root node of the address information tree is the user node, and child nodes of the address information tree comprise byte information corresponding to the cluster node; determining user distance information between the user node and the cluster node according to the address information tree, and determining target cluster distance information sent by the cluster node, wherein the target cluster distance information is cluster distance information between the cluster node and a blockchain node; and determining target shortest distance information of the user node and the blockchain node according to the user distance information and the target cluster distance information. The information communication efficiency and resources are improved.

This invention discloses a hospital infection control management data archiving system based on multiple categories of key indicators, belonging to the field of hospital infection control data management technology. It aims to solve the problems existing in hospital infection control data archiving, such as disorganized multi-category data, disconnect between archived data and key infection control indicators, difficulty in data traceability, high redundancy, and inability to adapt to dynamic adjustments in hospital infection control. This invention includes a data access unit, a multi-category key indicator dynamic matching and archiving module, an archived data traceability verification and redundancy cleanup module, a data storage unit, and a data retrieval unit. The multi-category key indicator dynamic matching and archiving module achieves accurate binding and hierarchical archiving of multi-dimensional hospital infection control data with key prevention and control indicators. The archived data traceability verification and redundancy cleanup module achieves authenticity verification of archived data, full-process traceability, and accurate cleanup of redundant data, solving the core pain points of poor usability, difficulty in traceability, and redundancy in existing technologies.

Embodiments of the present disclosure disclose a building drawing display method, device, equipment and medium suitable for large buildings, and relate to the technical field of computers. A specific embodiment of the method comprises: obtaining building drawing index information, and displaying a building drawing webpage interface; determining a set of drawing block display priority information; for each preset building drawing drawing block, the following steps are performed: determining the drawing block display priority information corresponding to the preset building drawing drawing block as target priority information; determining the preset storage level type corresponding to the target priority information as a target storage level type; determining the preset drawing block information corresponding to the preset building drawing drawing block as target drawing block information; performing storage processing on the target drawing block information; performing rendering processing on each viewport drawing block; and displaying each drawing block rendering frame. This embodiment reduces the number of stalls when displaying building drawings, and improves the smoothness of user interaction operations.

The application relates to the technical field of cloud edge cooperation, in particular to a cloud edge cooperation management system for a control center. A preprocessing unit is used for generating a plurality of fault prototypes according to fault data of edge nodes and constructing a global fault library on a cloud node; a fault unit is used for setting an edge fault library and detecting fault prototypes; the fault unit comprises a node clustering module, which is used for dividing the edge nodes into a plurality of node clusters and deriving an edge fault library of each edge node from the global fault library; a preloading module is used for comparing running parameters of the fault prototypes with real-time running data, and a repair strategy is loaded when a similarity threshold is reached; an edge detection module is used for detecting the edge fault library after detecting a fault; a global detection module is used for bidirectional scanning detection of corresponding fault prototypes in the global fault library; and a repair unit is used for repairing. The problems of slow fault detection speed and high cloud resource occupation are solved.

This invention relates to a method for generating grid codes for planar objects, belonging to the field of traffic control technology. It solves the problems of low efficiency, high complexity, and massive computational load in existing planar object grid code generation algorithms. This invention first obtains the lowest-level grid code containing the planar object based on grid code hierarchy rules. It then calculates the set of boundary line grid codes that satisfy distance constraints with the planar object's boundary line. Using this set of boundary line grid codes as a reference, the invention decomposes the lowest-level grid code containing the planar object level by level, comparing the inclusion and positional relationships between the decomposed grids and the planar object's boundary line grid code set. This quickly locates grids within the planar object and performs deduplication and aggregation processing to further reduce computational load. Compared to existing technologies, this method achieves rapid and efficient generation of planar object grid codes with minimal computational load and very simple algorithm complexity.

The present disclosure relates to a method comprising: providing one or more sets of records, each record of the set of records having a set of one or more attributes, inputting values of the set of attributes of the set of records to a trained data representation learning model, receiving as output of the trained data representation learning model a set of feature vectors respectively representing the set of records, and storing the set of feature vectors.

The application discloses a radar single-pulse angle discrimination curve fitting method based on cost sensitivity weighting, which comprises the following steps: 1, measuring sum-difference beam patterns of multiple wave positions in a microwave darkroom or an ideal field environment, and extracting original measurement values of angle discrimination curves in an angle range of interest; 2, constructing a measurement value combination for joint fitting of the angle discrimination function of multiple wave positions; 3, constructing a polynomial fitting optimization problem based on a least square criterion; 4, designing a cost sensitivity function and related parameters according to actual application requirements, and further correcting the cost function; 5, calculating intermediate variables and solving fitting coefficients; and 6, in a radar actual working project, on-line single-pulse angle measurement is completed based on the angle discrimination function obtained through fitting. Through simple parameter setting, the fitting accuracy of targets near the beam pointing direction and targets far away from the beam pointing direction can be flexibly adjusted according to actual application requirements.

The present disclosure relates to a data query method and device, electronic equipment and storage medium, and relates to the technical field of data processing. Embodiments of the present disclosure at least solve the problem of large resource consumption, low query efficiency and waste of storage resources in related technologies when temporarily storing data of multiple data sources or multiple data tables in a temporary table. The method comprises: obtaining a target query task comprising at least one query field; splitting the target query task according to a preset splitting condition to obtain at least two sub-query tasks; in each data source corresponding to each sub-query task, at least two query results corresponding to at least two sub-query tasks are obtained according to an aggregation mode corresponding to each sub-query task and a query condition corresponding to each sub-query task as a filtering rule; and merging the at least two query results to generate a target query result of the target query task. In this way, by splitting the target query task, the query complexity is reduced, the query data range is reduced, and the query efficiency is improved.

This invention relates to the field of cloud-edge collaboration technology, specifically disclosing a scene-adaptive urban management platform based on cloud-edge collaboration, comprising: an image acquisition module: commanding a drone to fly along a preset route and capture images along the way, preprocessing and recognizing the video stream data, and extracting keyframes; a keyframe cropping module: acquiring the three primary color values ​​of pixels, marking target pixels based on the three primary color channels, constructing a planar coordinate system, and cropping frames based on the maximum and minimum values ​​of the horizontal and vertical coordinates; and an analysis and processing module: dividing the cropped frames into groups, acquiring the maximum proportion of cropped frames in the same group, determining the target event corresponding to the urban management problem, and distributing the data to various drone terminals. By lightweighting the data, the bandwidth pressure during upload is reduced, transmission resources are saved, the efficiency from problem discovery to handling is improved, management resources are targeted, and the transformation of urban management from passive response to proactive prediction is supported.

The application relates to an interrupt or exception event processing method, a processor and an electronic device. The method comprises the following steps: after an interrupt or exception event is detected by a write-back unit, flushing a pipeline and triggering a hardware stack operation; based on the stack operation, a microinstruction splitting unit splits a stack microinstruction sequence of the hardware stack to obtain a register stack switching instruction while a fetch unit sequentially obtains to-be-processed instructions; the microinstruction splitting unit switches a first register stack currently used to a second register stack based on the register stack switching instruction; and sends to-be-executed instructions to an execution unit; the execution unit executes the to-be-executed instructions to perform interrupt or exception processing, and stores intermediate data and / or result data generated after execution to the second register stack. The first register stack and the second register stack are physically isolated in the processor, and a microinstruction splitting mechanism automatically triggered by hardware is combined, so that an interrupt or exception processing flow is significantly optimized.

This application discloses a digital calibration circuit and calibration method for a temperature-sensitive sensor, including a temperature acquisition module, a non-volatile storage module, a computation module, an output processing module, and a finite state machine for coordinating the time-sharing operation of each module. The temperature acquisition module is configured to acquire the analog temperature signal output by the temperature sensor and convert it into an N-bit temperature raw code. The non-volatile storage module stores multiple sets of temperature boundary codes and their corresponding calibration values ​​in ascending order of temperature. The computation module is configured to, under the scheduling of the finite state machine, first coarsely locate the target interval through sequential traversal, and then converge to obtain the final calibration value through synchronous binary search iteration. The output processing module is configured to process the final calibration value and output a calibration signal to the sensor's analog front end. This application adopts a processorless pure hardware architecture, does not rely on a CPU or software, has fewer circuit gates, and significantly reduces chip area and power consumption.

The invention provides a data management method, a server and a storage medium, and belongs to the technical field of data processing.The method comprises the steps that in response to an operation request for any target attachment, a unique identifier of the target attachment is determined; according to the unique identifier, querying attachment information corresponding to the target attachment from an attachment table; updating a reference count in the attachment information, wherein the reference count is used for representing the number of times that the target attachment is referenced by the business entity; according to the operation request, a reference relation table of the target attachment is updated, and the reference relation table is used for recording the incidence relation between the service entity and the attachment. In this way, for one attachment, the server only stores the data stream in the attachment once, redundant storage caused by repeated copying of the same attachment is avoided, the number of times that the attachment information is referenced by the service entity is recorded through the number of times of reference, so that when deletion operation is executed, the number of times of reference of the attachment is used as a reference, deletion of the currently referenced attachment is avoided, and user experience is improved. Accessories are prevented from being deleted by mistake, and a data management mode is optimized.

The application relates to an AI recommendation ordering method, system and electronic equipment, wherein the method comprises the following steps: extracting at least two user intents from a real-time acquired natural language text; determining a priority weight of the user intents based on a context and a historical behavior of a user; determining a target model from a pre-acquired entity extraction model based on the priority weight, and extracting entity information in the corresponding user intent through the target model, wherein different priority weights correspond to different target models; and sending a recommended card of a candidate commodity to the user based on the entity information, wherein the recommended card comprises a purchase interface of the candidate commodity, so that the user can complete a purchase operation.

The invention provides a method and device for realizing solidification and sharing of a function library in a microcontroller system, and the method comprises the steps: dividing a bootstrap program region, a main program region and a solidification library region of which physical addresses are not overlapped in an internal nonvolatile memory of a microcontroller; compiling a target function library into an independent executable mirror image, and burning the executable mirror image in advance and fixing the executable mirror image in the solidified library area; a function jump table is stored at the preset fixed position of the solidified library area, and the function jump table comprises pointers pointing to all the performance functions in the target function library; and the bootstrap program and the main program read the function jump table by accessing the predetermined fixed position so as to call the function of the target function library according to a pointer in the function jump table. According to the method, the single version and the calling consistency of the function library in the system are ensured on the aspect of architecture, the system design is simplified, and the reliability and the maintainability are improved.

The application discloses a hardware compression and decompression method based on Huffman decoding table, wherein original data is compressed on a PC end first, a Huffman decoding table and compressed data are dynamically generated in the compression process, and the two parts are burned into a hardware storage device; a decompression process is carried out in an embedded system, the embedded system sends corresponding instructions and addresses to a hardware decompression module, the decompression module addresses and searches the Huffman decoding table according to the corresponding instructions to decompress the compressed data, and the decompressed data is sent into the embedded system. The open source Gzip compression code is improved, a dynamic Huffman decoding table suitable for the hardware decompression module of the application is generated in the compression process, and the dynamic Huffman decoding table is stored in a corresponding format, so that the decoding table is directly used in the decompression process, and the decompression efficiency and accuracy are greatly improved.

The application belongs to the technical field of computers, and particularly relates to a table connection method, a table connection device, a computer readable medium, an electronic device and a computer program product. The method comprises the following steps: extracting field data corresponding to a key value from two tables to be connected according to the key value as a table connection basis; performing partition processing on the extracted field data to obtain multiple groups of partition data corresponding to different computing nodes; performing matching screening on two groups of partition data respectively belonging to the two tables to be connected on each computing node to obtain intersection data of the two groups of partition data; and updating the tables to be connected according to the intersection data screened by each computing node. The embodiment of the application can reduce the consumption of computing resources of table connection.

The application provides a real-time target detection method in an ultrahigh-resolution image scene, comprising: processing an original image to generate a high-resolution image and a low-resolution image; processing the low-resolution image to obtain a reserved area; cutting the high-resolution image according to the reserved area to generate a plurality of regional subgraphs; and detecting the regional subgraphs to obtain a detection result. The application can quickly detect the area requiring further fine-grained detection from an ultrahigh-resolution image through resolution processing, multi-scale density regression, area determination and area generation processing. In addition, due to the scale normalization, target detection and result merging processing, the final ultrahigh-resolution detection result can be generated. In the target detection stage, the plurality of regional subgraphs can be processed in parallel, which can greatly improve the inference time. Since part of the object-free area can be discarded in the density estimation stage, the required storage resources and calculation time can be saved.