546 results about "Data preservation" patented technology

The invention discloses a heterogeneous data processing method and device and a storage medium, and relates to the technical field of data processing.The method comprises the steps that to-be-processed heterogeneous data are obtained, field identifiers in the heterogeneous data are extracted, and then the field identifiers in the heterogeneous data are identified on the basis of a pre-trained semantic identification model; performing semantic matching on the field identifier and a target field in a preset database to generate a field-level mapping relationship, generating a step-by-step processing logic adaptive to a heterogeneous data format according to the field-level mapping relationship, executing verification operation on the step-by-step processing logic in a code sandbox, and performing verification operation on the step-by-step processing logic in the code sandbox. And after the verification is passed, storing the output target field data to a structure database. According to the heterogeneous data processing method and device, the extracted field identification is subjected to semantic matching, and the extracted target field is verified in combination with the code sandbox, so that the accuracy of heterogeneous data processing is improved.

The invention provides an unmanned aerial vehicle intelligent inspection method and system combining a three-dimensional point cloud modeling and flight path planning technology. The system comprises a data acquisition module, a data processing module, a platform uploading module, a three-dimensional point cloud modeling module, a flight path planning module and a task execution module. By combining the three-dimensional point cloud modeling and flight path planning technology, the whole process is automatic, a closed loop is formed from data acquisition to flight path generation, manual intervention is reduced, automation, refinement and intelligentization of unmanned aerial vehicle routing inspection are achieved, and the routing inspection efficiency and safety are remarkably improved. The method has the advantages that point cloud data is processed through a pre-constructed point cloud data processing model, the quality of the point cloud data is improved, sub-centimeter-level modeling is realized in combination with a BIM technology, the precision of three-dimensional point cloud modeling is high, track planning is based on real three-dimensional geometry, and fine inspection is supported. And through data storage of different file types, the transmission processing efficiency is improved, the space information of the three-dimensional point cloud is fully utilized in the route planning, and refined inspection is supported.

The invention relates to the technical field of cell preparation quality evaluation, in particular to a cell preparation whole-process quality intelligent evaluation system and a method thereof, and the system comprises a data acquisition module, a preprocessing module, a mining module, a modeling module, a report automatic generation module and a data storage module. The modeling module is used for constructing a cell product index evaluation system and a product traceability model and comprises a cell culture state evaluation model and an environment monitoring analysis module, and the environment monitoring analysis module is used for carrying out traceability analysis by using a time sequence convolutional neural network; the automatic report generation module intelligently evaluates the quality of the whole process and generates a report, the data storage module manages data and model storage, sharing and calling, the system constructs a cell quality evaluation system based on multi-dimensional data, integrates multiple dimensional indexes such as morphology, surface markers and functionality, realizes comprehensive evaluation, and improves the evaluation efficiency. And the one-sidedness of single index evaluation is avoided.

The invention provides a large language model reasoning method and device, electronic equipment and a storage medium, and the method comprises the steps: searching a storage space for a historical high-storage-efficiency tensor corresponding to each stored request according to a mapping table under the condition that a current request is received, and converting the historical high-storage-efficiency tensor into a historical target tensor; executing a current round of reasoning through the large language model according to the current request, obtaining an intermediate tensor corresponding to each layer of the large language model in the current round of reasoning process, and obtaining a current target tensor required by attention layer calculation of the large language model in the intermediate tensor; searching a current high-storage-efficiency tensor as a precursor of the current target tensor, storing the current request and the corresponding current high-storage-efficiency tensor in a storage space as historical intermediate data, and updating the mapping table; and inputting the historical target tensor and the current target tensor into the attention layer for calculation to obtain the reasoning text corresponding to the current request, thereby effectively reducing redundant calculation.

The invention relates to the technical field of three-dimensional point cloud scanning, and discloses a three-dimensional laser scanner and a real-time point cloud scanning method and system, and the method comprises the following steps: setting a dot spacing, setting the rotating speed of a drive motor, and setting the transmitting frequency of a laser transmitting and receiving module; controlling the motor to rotate to drive the laser to emit laser; when laser starts to be emitted, the reading module collects angle parameters of the coded disc in real time and measures a laser flight time value through the laser flight time measuring module; combining the angle parameter, the laser flight time value and the laser reflection intensity value read in the last time of laser emission into a frame of data and storing the frame of data in an original data buffer area; reading frame data of the original data buffer area in real time, and calculating to obtain a three-dimensional coordinate; and taking the three-dimensional coordinates and the laser reflection intensity value as a frame of data and storing the frame of data in a result buffer area. The problem that the real-time application requirement is difficult to meet in the prior art is solved, and the method has the advantage of being capable of reducing the operand.

The invention belongs to the technical field of computer software, and particularly relates to an automatic statistical method and system based on software defect texts, comprising a preprocessing module used for importing information containing software defect text data into the system, preprocessing the software defect text data, removing useless symbols and redundant texts in the texts, and storing the useless symbols and redundant texts in the system; the preprocessing module is used for preprocessing a. Txt file and storing the preprocessed data into the. Txt file in a specified format, the extraction module is used for extracting keyword features from the preprocessed. Txt file, the keyword features comprise at least one of defect identification, defect type, defect level, repair suggestion, defect category, defect description, processing suggestion, reason analysis and rectification scheme, and the statistical analysis module is used for carrying out statistical analysis on the keyword features. And the statistical analysis module is used for performing statistical analysis on the extracted keyword features. According to the method, related information of software defects can be efficiently and accurately counted, manual participation in column-by-column counting is reduced, and the efficiency of defect detection and management and the accuracy and efficiency of a statistical result are improved.

The embodiment of the invention provides a data processing method and device, equipment, a storage medium and a program product. Comprising the steps of judging whether a transmission mode of an application layer for a to-be-written data write request is a direct read-write mode or not; if the mode is not the direct read-write mode, continuing to judge whether a client cache mechanism is started or not; if the client cache mechanism is started, continuing to judge whether the to-be-written data or metadata of a parent directory of the to-be-written data carry a cache acceleration mark or not; if the to-be-written data or the metadata of the parent directory of the to-be-written data carry a cache acceleration mark, obtaining the size of an idle memory block of a preset cache; when the size of the free memory block is greater than or equal to that of the to-be-written data and the to-be-written data is not overlapped with the data in the preset cache, storing the to-be-written data in a memory block pre-allocated by the preset cache; and traversing the memory block list of the preset cache, and storing the to-be-written data to the target storage. The method is used for achieving the effect of improving the data processing performance.

The application provides a weather load-based air conditioner energy control method and device and a storage medium, wherein the method comprises the following steps: saving PLC bottom layer instrument data, indoor temperature sensor data and public data to a cloud platform server; processing the above data, calculating first index data in units of predetermined working time, calculating an optimized load amount according to the first index data; selecting a date closest to a predicted load day comprehensive temperature T in historical operation data as a reference day, taking the load of the reference day as a reference day load; and adjusting air conditioner energy according to the optimized load amount through two preset optimization conditions and the reference day load. The application predicts future load change rules by mining the corresponding relationship among climate, indoor temperature and load change rules through historical data, so as to realize the purpose of precise energy supply and effectively avoid energy waste.

The invention discloses an AI accelerator card operation and maintenance method and device based on performance index collection, equipment and a medium, and relates to the technical field of cloud computing, and the method comprises the steps: obtaining a performance index collection request sent by a target host after the communication connection with the target host is established, and determining target peripheral interface equipment information; determining the number of currently mounted accelerator cards and the type of the accelerator cards through a preset accelerator card manufacturer dictionary table and target peripheral interface equipment information, and initializing a performance index acquisition thread according to the number of the accelerator cards and the type of the accelerator cards; verifying a local accelerator card driver and an equipment management library of the AI accelerator card, and after verification is passed, calling the equipment management library to perform performance index acquisition of the AI accelerator card based on the performance index acquisition request and the performance index acquisition thread; and storing the performance index data in a preset database, performing judgment according to a preset performance index alarm rule, and performing display at a target front end so as to perform operation and maintenance on the AI accelerator card.

The invention discloses a software and hardware co-simulation field recovery method and device, equipment and a medium. Comprising the steps of defining a recording starting point and a storage time point of a simulation site; from the recording starting point to the storage time point, capturing transaction flow and causal metadata from the hardware simulation environment of the simulation site to the software test platform, and meanwhile, storing a state snapshot of the verified design in the hardware simulation environment; and when a recovery instruction is received, performing simulation field recovery based on the transaction flow, the causal metadata and the state snapshot. By defining the time range of data capture, a clear boundary is delimited for subsequent data storage, and pertinence and integrity of data records are ensured. A basis is provided for semantic reconstruction of a software test platform by capturing a transaction flow and causal metadata, a state snapshot ensures that the verified design hardware state can be accurately restored, and complete storage of recovery data on the two sides of software and hardware is achieved. And the system does not need to be restarted from the starting point during recovery, so that a redundancy initialization process is avoided, and the simulation debugging efficiency is improved.

The invention discloses a man-machine collaborative remote sensing image intelligent labeling method and device based on a visual large model. The method comprises the steps of obtaining remote sensing image data to be labeled, and performing image enhancement processing to obtain enhanced remote sensing image data; inputting the enhanced remote sensing image data into a visual large model for mask segmentation processing, and outputting a plurality of target segmentation masks and corresponding confidence coefficients; marking layer graphs with different colors on the to-be-marked remote sensing image data to form marked remote sensing image data, and displaying the marked remote sensing image data to a user; and the user performs confirmation operation, and stores the labeled remote sensing image data as a GeoTIFF file format image with geographic reference information. In the embodiment of the invention, the image labeling precision of complex ground objects, multiple regions and the like is obviously improved.

A memory device may sometimes undergo post package repair. Systems and methods described herein may help preserve data of the memory device as part of the post package repair operations. Systems and methods described herein may enable receiving a post package repair command and an indication of a target memory address, performing an on-chip data preservation on a target portion of memory based on the target memory address, and performing post package repair on the target portion of memory based on the target memory address.

Method and apparatus for predictive dump capture are provided. A prediction indicating that a failure within a computing system will occur at an anticipated time is received. One or more existing processes are assessed over a time window to identify data for preservation, wherein the time window begins at the reception of the prediction and extends to the anticipated time of the failure. Workloads of the computing system are quiesced based on the assessment. A memory dump process is initiated to save data in memory of the computing system. Backup resources are searched to expedite the memory dump process.

The invention discloses a large model deployment and service method and device for realizing intelligent customer service based on container arrangement, equipment and a medium, and relates to the field of artificial intelligence, and the method comprises the steps: constructing a standardized container mirror image which comprises an inference engine, a model acceleration library and a model encryption and decryption assembly and is adaptive to an intelligent customer service scene; establishing a graphic processing unit resource management system in the container arrangement cluster; storing model data of the intelligent customer service model to a target storage system, and determining a mounting mechanism corresponding to the model data; generating a container arrangement and deployment file based on a graphic processing unit resource management system, the operation demand of the standardized container mirror image and a mounting mechanism corresponding to the model data; and submitting the container arrangement deployment file to a container arrangement platform, so that the container arrangement platform carries out intelligent customer service model deployment, and the deployed intelligent customer service model is utilized to receive a user request and return a corresponding target response. According to the method, the deployment complexity is reduced, and the model deployment efficiency and stability are improved.

The invention belongs to the technical field of data management, and particularly discloses a traditional Chinese medicine personalized diagnosis and treatment data summarization processing method and system and a program product, which can master the deep and nonlinear relationship between traditional Chinese medicine diagnosis and treatment symptoms and syndromes, realize deep semantic understanding and remarkably improve the data matching accuracy. Scattered cases can be classified according to syndromes, and personalized experience of different doctors of traditional Chinese medicine is dynamically absorbed, so that an experience library is evolved continuously; the safety and privacy of traditional Chinese medicine diagnosis and treatment data storage can be ensured, and a technical basis is provided for diagnosis and treatment knowledge tracing and right confirmation; personalized diagnosis and treatment knowledge of a specific physician group can be conveniently decrypted, and digital inheritance of traditional Chinese medicine diagnosis and treatment experience is facilitated. According to the method, deep simulation of traditional Chinese medicine diagnosis and treatment logic can be realized through innovative feature fusion and similarity calculation, and an experience library which can continuously grow and can effectively regularize personalized diagnosis and treatment data of traditional Chinese medicine doctors is formed through a dynamic and safe encryption archiving mechanism.

The invention belongs to the technical field of computer technology server data processing, and discloses a method and a system for generating observable data through lightweight collection of WEB container logs. According to the method, a mode of expanding a filter of a WEB container is adopted, a user-defined filter is added to generate data in a set format, and the data is output to a log file; the method comprises the following steps: extracting data in a log, processing the data, and then calling a log storage module to store the data in a storage; creating an index according to the label, and maintaining a mapping relationship between the index and the original log content; and converting the log data into an observable view by utilizing the maintained index and data file storage structure. According to the method, lightweight design serves as the core, logs serve as carriers of original data, the resource cost of the data from generation, collection to display is reduced, the observability requirement is met, and the provided data can meet aggregation display of common various dimension index data.

The invention provides a music data processing method and device, electronic equipment, a non-instantaneous computer readable storage medium and a computer program product, and belongs to the technical field of music data processing. The method comprises the following steps: acquiring music data; marking the music data as a predetermined music structure according to a first preset rule; wherein the preset music structure comprises at least one of music segments, music sentences, music knots and phonetic types; marking the preset music structures as preset attributes according to a second preset rule, and marking the relationship between the preset music structures to form marked music data; according to the method, the annotated music data is stored in the corresponding data table of the database, the problem that annotation of the music data cannot meet training data requirements in the prior art is solved, and the quality and efficiency of annotation of the music data are improved, so that the training data requirements are better met, and data support with annotations is provided for subsequent task research.

The embodiment of the invention provides a data processing method, an online platform and a big data platform, which can continuously acquire column storage data from a storage device and convert the column storage data into row storage data, so that the row storage data is directly scanned from a local cache, and the service processing efficiency of the online platform is improved. The method comprises the steps that after an online platform generates a physical plan according to an online service request, corresponding column storage data are obtained from a storage device according to an IO task list of the physical plan, after the column storage data are converted into row storage data, the row storage data are stored in a local cache, then target row storage data are obtained from the local cache by using a scanning operator of the physical plan, and the target row storage data are stored in the storage device. And executing the online service according to the target row storage data.

This provides a data compression device that can expand dictionary size using existing resources. [Solution] According to the embodiment, the data compression device comprises N data compression circuits, a dictionary buffer linking control circuit, and a longest match selection circuit. The dictionary buffer linking control circuit controls the switching between a first mode in which the N data compression circuits operate independently and a second mode in which the N data compression circuits cooperate. In the second mode, the longest match selection circuit selects the dictionary compression result with the longest match length from among the N. The data compression circuits have dictionary buffers. In the first mode, the dictionary buffer linking control circuit inputs different uncompressed data to the N data compression circuits, and in the second mode, it links the N dictionary buffers by saving the oldest dictionary data from the i-th dictionary buffer to the (i+1)-th dictionary buffer, and inputs the same uncompressed data to the N data compression circuits.

The application provides a kind of steering gear autonomous zero calibration control system and method, system includes: data acquisition module: for obtaining the bus message information required;Vehicle mass calculation module: for calculating vehicle mass;Steering wheel angle calculation module: for calculating the corresponding steering wheel sensor angle value;Tire pressure calculation module: receiving tire pressure sensor measured tire pressure;Straight travel judging module: for in steering controller, according to the wheel rotation angle sensor obtained wheel rotation angle judges whether vehicle is in straight travel state;Zero angle control module: for vehicle zero angle control calibration;Data storage module: for when vehicle learns new zero angle data, save data to corresponding NVRAM.The application solves the problem that when vehicle zero angle deviates from zero due to changes in vehicle mass and tire pressure, causing the steering wheel to be incorrect.

The application discloses an end-to-end communication record synchronization method and system, relates to the technical field of communication, and saves user personal communication record data in a private device, satisfies the convenient and safe use of the user in multiple terminals, and thus guarantees that the personal communication record data can be recovered, synchronized, conveniently saved and found, and accessed and used by the user at any time and in any place. The data of the user communication record does not need to be saved in a platform, is completely stored in the private device, and finally realizes the functions of the synchronization, recovery and storage of the user communication record data in multiple terminals, avoids data leakage to a larger extent compared with previous methods, guarantees the safety of the data, and realizes the convenient personal data management.

The invention discloses a distributed storage method and device based on a time sequence database, and relates to the technical field of data storage. Obtaining original time sequence data and carrying out time clustering segmentation to obtain a time sequence data fragment set; performing data merging on the time sequence data fragments in the time sequence data fragment set to obtain a merged data fragment set; determining a storage position of each merged data fragment in the merged data fragment set; constructing a time query index for the data in each merged data segment; and for the data in each merged data segment, obtaining a storage address of the data, enabling the storage address to correspond to the time query index of the data, and storing the data in the storage address. According to the method, data of a time sequence is clustered and then segmented, then the segmented data is merged, storage fragmentation is reduced, finally, a storage address and a time query index are associated by constructing a query tree, efficient storage is still met in the face of mass data, and the data management efficiency is improved.

The invention discloses a real-time monitoring method and system for surface adhesion of a medical endoscope protective sleeve, relates to the technical field of medical endoscopes, and solves the problem that adhesion of the protective sleeve cannot be accurately monitored in real time in the prior art. The system comprises a monitoring terminal, a multi-mode sensing module, a signal processing unit, a data transmission module, an early warning module and a power supply module. The multi-mode sensing module is integrated on the inner wall of the protective sleeve through a flexible substrate, comprises a micro-nano pressure sensing unit, an optical scattering sensing unit and a temperature sensing unit, and synchronously acquires multi-dimensional data; the signal processing unit realizes adhesion grading judgment through de-noising, feature extraction and a machine learning model; the monitoring terminal performs real-time display, and the early warning module performs graded early warning. According to the monitoring method, dynamic monitoring is realized through a closed-loop process of assembly initialization, data acquisition, signal processing, state judgment, display early warning and data storage. The system is accurate in monitoring, rapid in response and high in adaptability, can improve the safety and effectiveness of endoscope diagnosis and treatment, and is suitable for various endoscope scenes.

A programmable display (10) has a fingerprint reading section (101) that reads a user's fingerprint, a registration section (102) that generates first registration data that associates a first registration user with the first registration user's fingerprint read by the fingerprint reading section (101) and saves the first registration data in a storage section (14), a registration data transceiving section (103) that transmits the first registration data to a fingerprint management server (20), and an authentication section (104) that authenticates a user of the programmable display (10). The registration section (102) also saves second registration data that is transmitted from the fingerprint management server (20) and that is obtained by associating a second registration user with the second registration user's fingerprint in the storage section (14), and the authentication section (104) refers to the first registration data and the second registration data saved in the storage section (14) and authenticates the user based on the user's fingerprint of the programmable display (10) read by the fingerprint reading section (101).

This invention discloses a GNSS interference source localization method based on ADS-B data. The method involves acquiring ADS-B data, saving data points affected by GNSS interference, and, if no NIC is available, constructing ADS-B data with a NIC. The message data is then sorted by ICAO and timestamp. A diagonal matrix W is calculated based on the ICAO, timestamp, NIC, a table showing the correspondence between NIC and received interference power, and the hyperparameter value τ. A residual vector R is calculated based on the message data and the optimization vector, and the optimized vector is then output. This invention analyzes large-scale aviation ADS-B data, sorts and classifies the original message data to determine whether flights are subject to GNSS interference, and abstracts the interference source localization problem into a least-squares problem. An optimization function is constructed, and an iterative optimization algorithm is used to calculate the possible GNSS interference source locations and transmission power, thus more efficiently locating GNSS interference sources.

To provide a technique capable of appropriately holding data in a communication between electronic control units.SOLUTION: An Ethernet switch is connected to a plurality of vehicle-mounted electronic control units each including at least one processor, includes a plurality of ports to which the processors are connected, receives data from each processor and transmits the data to a destination processor. The Ethernet switch comprises a controller, which determines target data from among the received data on the basis of a predetermined condition, and a buffer which holds the target data. In a case where the target data are determined, the controller causes the buffer to hold the target data until a communication with the destination processor is permitted. In a case where the communication with the destination processor is permitted, the controller transmits the target data to the destination processor and, in a case where data different from the target data are received before permitting the communication with the destination processor, causes the buffer not to hold the received data.SELECTED DRAWING: Figure 1

The present application relates to a method and system for storing data in a memory, and the method includes the following steps: based on the storage space of the memory, dividing a target area and a candidate area set; writing storage data to the target area; judging whether the remaining storage space size of the target area is less than a preset value; then extracting the storage data written last as valid data based on the order of the storage data writing time; updating any candidate area in the candidate area set as a new target area, and writing valid data into the new target area; erasing the original target area, updating the original target area to a new candidate area, and continuing to write dynamic data into the target area. The present application switches to save data through multiple storage areas during the entire data storage process, and timely erases expired and invalid data. When the storage space is uniformly erased, the number of erasures can be greatly reduced, which has the effect of increasing the service life of the memory.

This invention discloses a data management method and electronic device for a storage device, belonging to the field of storage technology. The data management method includes: when the lifetime of the hold table is less than the lifetime of the hold data area, writing data from the data cache to non-volatile memory, and the storage device entering a hibernation mode; when the lifetime of the hold table is greater than the lifetime of the hold data area, determining whether the data size in the data cache has reached a flush threshold; if the data size reaches the flush threshold, writing the data to non-volatile memory, and the storage device entering a hibernation mode; if the data size does not reach the flush threshold, saving the data to the hold data area, recording the boundary marker information of the data in the hold data area, and writing the system management data table to be migrated from the hold table to the non-volatile memory, and the storage device entering a hibernation mode. The data management method and electronic device for a storage device provided by this invention can extend the lifespan of the storage device.

A data recovery method for a futures counter comprises the steps that S01, in the transaction process of the counter, the counter stores private flow data of an exchange into a local data file, and the data are verified when the data are stored; and S02, when the counter is restarted, the local data file is mapped to the memory firstly, and the counter recovers the private stream data from the memory firstly and verifies the data at the same time. And S03, after the local file data is recovered, subscribing to the remaining new private stream data collected from the exchange through the specified serial number. And S04, after the counter receives all the old flow of the current trading day, the counter recovers funds and finishes the position, and the state is switched to be normal. According to the method, the private stream data is stored in the local file in real time during transaction, the local file data is preferentially passed during recovery, and then a subsequent new private stream is received from the exchange in a continuous transmission mode, so that the integrity and reliability of data recovery are ensured, and the high efficiency of data recovery is also ensured.

This application discloses an autonomous source-finding robot system in a radiation environment, comprising: a source-finding robot and a robot management platform wirelessly connected to the source-finding robot; the source-finding robot includes: a radiation information acquisition module for acquiring radiation information during the source-finding task; a main control module for receiving the source-finding information, executing the source-finding task according to the source-finding instructions in the source-finding information, and determining whether the robot maintains a wireless communication connection with the robot management platform; a data transmission module, which, when the robot maintains a wireless communication connection with the robot management platform, executes an online source-finding mode to transmit data from the source-finding task to the robot management platform; and a storage module, which, when the robot loses its wireless communication connection with the robot management platform, executes an offline source-finding mode and saves the data acquired in the offline source-finding mode in the storage module. This system enables autonomous source-finding in a radiation environment.