372 results about "Data preservation" patented technology

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 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 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.

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.

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.

The invention discloses a telecontrol equipment debugging system, which comprises a debugging software platform and a debugging database deployed in the debugging software platform, debugging tool information corresponding to telecontrol equipment of different manufacturers, different models and different versions is pre-stored in the debugging database; the debugging software platform executes the following operations: acquiring identification information of the telecontrol equipment to be processed; querying and calling a corresponding debugging tool from a debugging database based on the identification information; monitoring the physical connection state with the to-be-processed telecontrol equipment, and backing up the current configuration data of the to-be-processed telecontrol equipment after confirming that the physical connection is normal; when an instruction that a user initiates debugging is received, modifying configuration data of the telecontrol equipment to be processed by utilizing the called debugging tool; the data is compared with the current configuration data, and difference information is prompted to a user; and after user confirmation is obtained, downloading the modified configuration data to the telecontrol equipment to be processed, and storing the modified configuration data to a debugging database.

The invention is suitable for the technical field of accounting electronic archive management, and provides a cross-border electronic commerce accounting data storage system, which comprises a data acquisition module, a data integration module, a transaction data processing module, an account book module, a record storage module and a database server, the data integration module is in data connection with the transaction data processing module, the transaction data processing module comprises an order matching module, a cost allocation module, a currency processing module and a tax calculation module, the transaction data processing module is in data connection with the account book module, and the account book module is in data connection with the record storage module. The cross-border e-commerce transaction data processing system can perform detailed arrangement and analysis on cross-border e-commerce transaction data, ensures that all transaction data are accurately recorded and converted, supports multi-currency processing and accurate exchange profit and loss calculation, and meets accounting laws and regulations and tax laws and regulations of different countries / regions.

This application discloses an online contract signing method and system based on smart contracts. The method includes: the contract initiator generating and signing an electronic contract, submitting it to a smart contract, and saving the submission information after the smart contract verifies the submitter's identity. The signatory verifies the electronic contract, which is found to be correct in the smart contract, and submits it to the smart contract after signing. The contract initiator and the signatory sequentially verify the latest electronic contract in the smart contract. After successful verification, they add a text signature and corresponding electronic seal to the electronic contract, sign it, and submit it to the smart contract. Once the contract initiator verifies the latest electronic contract in the smart contract, the online contract signing is confirmed as complete. This simplifies the contract signing process, making it convenient and fast; multiple signatures and verifications of the electronic contract ensure data reliability and security. The electronic contract signing process data is stored in the smart contract, preventing unauthorized modification of the electronic contract and facilitating traceability.

The application discloses a data synchronization method and device, equipment and storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring external network system information of an external network system, creating a cross-network data attribute template according to the external network system information, generating target cross-network data corresponding to the cross-network data attribute template based on a preset cross-network data generation strategy, and sending the target cross-network data to a preset gateway; transmitting the target cross-network data to the external network system through the preset gateway, so that the external network system saves the target cross-network data locally and feeds back a corresponding data synchronization result to the preset gateway; and then confirming a data synchronization state of the target cross-network data in the external network system according to the data synchronization result. In this way, the cross-network data attribute can be accurately controlled, and the cross-network data can be incrementally exported when there is new data.

The invention belongs to the technical field of zoology, and discloses a canine behavior recognition method and system based on multi-view skeleton analysis and video understanding, at least six high-definition cameras are arranged, all the cameras are started synchronously, and continuous video acquisition is performed on canine behaviors; the collected video data are stored in a local server, so that the data security and accessibility are ensured; a camera calibration step: carrying out independent internal parameter calibration on each camera; performing external parameter calibration by using a calibration plate, determining the relative positions and directions of the cameras, and establishing a unified three-dimensional coordinate system; internal and external parameters are optimized through a software algorithm, and accurate fusion of multi-view video data is ensured; and carrying out statistical analysis on the identified behaviors. According to the invention, through combination of multi-view skeleton analysis and video understanding, complex behaviors of dogs can be captured and identified more accurately; and the efficiency is high, and the behavior recognition efficiency is greatly improved through automatic video processing and behavior recognition processes.

The application discloses a data storage method, a storage medium, an electronic device and a program product, relates to the technical field of storage, and the method of the application is characterized in that the first storage path refers to saving target data into the cache of a storage controller, returning a data storage response, and writing the target data in the cache into a storage medium; the second storage path refers to directly writing the target data into the storage medium and returning the data storage response without saving the target data into the cache. The data volume of the target data and the current cache residual amount of the storage controller are taken as references, and the shortest response time length is taken as a target, so that the path of writing the target data into the storage medium can be dynamically selected from the first storage path and the second storage path. In this way, the target data can be written into the storage medium according to the optimal storage path at all times, and therefore, the problem of unstable response speed of the storage controller in some technologies can be solved.

The invention relates to the technical field of DNA information storage, and discloses a method for prolonging data storage time and application, the method comprises the following steps: data is converted into a DNA sequence with a preset length, DNA is synthesized and stored, primary amino groups in basic groups of the DNA are independently modified by protective groups, the protective groups are selected from-COR, and the primary amino groups in the basic groups of the DNA are independently modified by the protective groups. R is selected from alkyl of C1-C6, substituted or unsubstituted naphthenic base of C3-C8 or substituted or unsubstituted phenyl. According to the method for prolonging the data storage time, the degradation rate of DNA can be remarkably inhibited, the stability of the DNA can be improved so as to realize long-time stable storage of the data, and the method is particularly suitable for forming a DNA storage scene with limited conditions, namely, the method is suitable for DNA synthesis in large companies with advanced technologies and equipment and also suitable for large companies with advanced technologies and equipment. The method is also suitable for DNA synthesis of small companies, and has application prospects and potential.

The invention discloses a video recording method and device of controlled equipment, a medium and equipment. The method comprises the following steps: authorizing a controlled device according to a machine identification code of the controlled device by adopting a multi-layer encryption technology, and generating encryption authorization information of the controlled device; decrypting the encrypted authorization information through the machine identification code, and determining the controlled authority of the controlled equipment; under the condition that the controlled authority is valid, allowing the controlled equipment to record a plurality of videos to obtain a plurality of video data; and storing log information in the video recording process of the controlled equipment, wherein the log information comprises various operation information in video recording.

The invention provides a construction method and device of a three-dimensional building information model. Compared with the prior art, the construction method and device of the three-dimensional building information model provided by the embodiment of the invention have the advantages that errors caused by point cloud splicing are reduced, the point cloud data segmentation precision is improved, and the construction quality of the BIM model is further improved. According to the embodiment of the invention, through data completion processing, the integrity of components in the point cloud is improved. In addition, according to the embodiment of the invention, through localized data storage, the problems of data privacy security and the like caused by uploading the data to an external server in the prior art can be solved.

The invention provides a waveform data recording method and device for a power grid frequency abnormal event, and relates to the technical field of power system monitoring and data recording, and the method comprises the steps: collecting power grid electrical parameter data, and caching the data to a volatile memory; when the event flag is triggered, storing pre-event-triggering data cached in the volatile memory into the nonvolatile memory; continuing to collect electrical parameter data of the power grid after the event is triggered, and storing the electrical parameter data to the nonvolatile memory after the electrical parameter data is processed by adopting a decreasing down-sampling rate; and responding to a data reading request of external equipment through the communication interface, transmitting the waveform data stored in the nonvolatile memory, and deleting the readable identifier of the corresponding data after the transmission is completed. According to the method, historical data traceability before a fault is realized through a pre-sampling mechanism, high-precision sampling and long-time recording are considered under limited storage resources by adopting a five-stage variable sampling rate strategy, the storage efficiency is improved by multiple times, and complete and reliable data support is provided for power grid fault analysis.