219 results about "Data packing" patented technology

The invention relates to an elevator fault real-time monitoring and early warning method, system and terminal, and belongs to the technical field of elevator monitoring. The monitoring and early warning method comprises the steps that multi-source sensing data of an elevator are collected, and timestamp synchronization is conducted on the multi-source sensing data; calculating a comprehensive risk value of the elevator based on the multi-source sensing data after timestamp synchronization; judging whether the comprehensive risk value is greater than a risk threshold value or not; if yes, Granger causal test is operated, an abnormal causal event is searched for from a pre-constructed causal graph, and relevant data corresponding to the abnormal causal event is packaged and sent to the elevator digital twinborn body; fault acceleration simulation is carried out in the digital twinborn body, and an abnormal root is positioned; and a health assessment report of the elevator is generated according to the simulation process data and the abnormal root. The method has the beneficial effects that the actual running state of the elevator is truly reflected, so that the running safety and reliability of the elevator are improved.

The invention discloses a distributed supply chain traceability system and method supported by a block chain, and relates to the field of data analysis, and the system comprises a collection module which is used for capturing the original data of a supply chain in real time through an Internet of Things sensor, and cleaning the data; the processing module is used for constructing a distributed account book based on a HyperledgerFabric architecture, performing hash encryption on the data, performing uplink storage on the data, packaging the data into blocks according to a time sequence, and completing data verification between nodes through a BFT consensus mechanism; according to the invention, full-link data of production, logistics and the like are captured in real time through the Internet of Things sensor and encrypted and chained, so that the data cannot be tampered and can be traced in the whole process, and the problems of easy data tampering and many breakpoints in traditional traceability are solved.

The invention discloses an electrical pipeline fault early warning method and system, and relates to the technical field of electrical pipelines, and the method comprises the steps: collecting electrical pipeline data, carrying out the preprocessing of the collected data, packaging the processed data, transmitting the packaged data to a central processing unit, analyzing the data, extracting characteristic parameters, and combining a predefined rule base, the method comprises the following steps: carrying out fault feature identification and abnormity determination, matching a fault mode based on identification features, evaluating a fault type and a severity degree, predicting a fault probability in combination with a historical data trend, automatically generating an early warning message when real-time data exceeds a preset threshold value, sending structured early warning information through a multi-mode communication channel, and tracking and confirming a state. And triggering preset emergency operation, and meanwhile, providing a manual intervention interface and recording a processing process. By monitoring the parameters of the electrical pipeline in real time and triggering an early warning mechanism, the safety problem is identified and processed before the fault occurs, the downtime is reduced, the reliability of the pipeline is improved, and preventive maintenance is realized so as to reduce the emergency maintenance cost.

The invention discloses a BIM / CIM-based engineering design whole-process auxiliary decision-making method, relates to the technical field of engineering design, and discloses a BIM / CIM-based engineering design whole-process auxiliary decision-making method, which comprises the following steps: responding to a project red line range, obtaining geographic space data, and carrying out preprocessing, model reconstruction and lightweight processing on the geographic space data to obtain a project red line range; generating a macroscopic current situation scene; obtaining at least two candidate schemes, and performing spatial registration and fusion on the BIM models corresponding to the candidate schemes and the macroscopic current situation scene to generate a corresponding fusion decision scene; based on the fusion decision-making scene, carrying out collaborative decision-making on the candidate schemes, and determining a bid-winning scheme; and packaging the BIM model corresponding to the bid winning scheme and associated data, and transmitting the packaged BIM model and associated data to a downstream construction management system through an interface. The scheme collaborative decision-making efficiency is effectively improved, the information fault problem in the design and construction stages is solved, and the whole-process decision-making closed loop of the engineering project is achieved.

The invention provides a BIM (Building Information Modeling) full life cycle splitting and cross-model synchronization method and system. The method comprises the steps that BIM model components are coded based on a full life cycle coding rule, private attributes of all engineering stages and component codes of the engineering stages are bound and stored in component extension attributes, and a BIM master model containing multi-stage attribute information is generated; setting a BIM model splitting rule based on a rule engine; the code of each component in the BIM model is analyzed, the codes are compared with screening conditions in the splitting rules according to levels, and component data corresponding to the successfully matched codes are packaged and stored as sub-models; establishing association mapping between the models; and when the source model is modified, the synchronization engine executes synchronous updating of the target model according to the association mapping between the source model and the target model associated with the source model, so that the cross-stage multi-participant cooperation efficiency is improved, and a solid technical support is provided for digital transformation of the construction industry.

The invention discloses an efficient data flow transceiving controller applicable to a multi-core storage and calculation system, which comprises two transmitting controllers and two receiving controllers, and the transmitting controllers and the receiving controllers are arranged on the peripheries of cores and are used for performing data packaging and transmitting and data flow judgment work; wherein the sending controller comprises a configurable asynchronous FIFO (First In First Out), a data packaging unit and an error correction code generating unit; the receiving controller comprises an error correction code decoding unit, a data packet unpacking unit and a microchip detection unit; the flit detection unit is used for detecting information in a head flit to judge whether data meet the calculation requirement of the current core particle or not, and if the data do not belong to the task range of the current core particle, the data are redirected to the sending controller through a bypass transmission mechanism. According to the application, the transmission speed of the data stream among different core particles is improved, and the data stream can be dynamically planned and transmitted according to the preset rule by constructing the efficient data transceiving controller.

The invention discloses a method for improving data transmission bandwidth through an FPGA. The method comprises the steps that a data packaging module of a detector main control board sends data to be transmitted to a multi-channel GTP sending end in parallel; the data acquisition card receives the data of the corresponding channels through the multi-channel GTP receiving end and recovers Data and KCOD of each channel; an FIFO read-write control module of the data acquisition card writes data recovered by multiple channels into asynchronous FIFOs corresponding to the channels through write logic, and data buffering is carried out; the FIFO read-write control module simultaneously reads cache data of a plurality of asynchronous FIFOs through read control logic to realize cross-clock domain synchronization of multi-channel data; performing CRC (cyclic redundancy check) and processing on the read multi-channel data to obtain synchronous effective transmission data; and a single-channel GTP is upgraded to a dual-channel GTP or a multi-channel GTP, so that the data transmission bandwidth is improved, and normal operation of the FPGA chip is ensured.

The invention discloses a self-adaptive three-dimensional flow field reconstruction method, device and system for open channel flow and a medium, and relates to the technical field of open channel flow measurement. The method comprises the following steps: acquiring multi-modal data, and preprocessing the multi-modal data; and performing preliminary three-dimensional flow field prediction on the preprocessed data through a lightweight prediction model, and performing consistency verification and anomaly detection by an anomaly detection module. And when the abnormal event is detected, packaging the multi-modal measurement data in the occurrence time window of the abnormal event and uploading the packaged multi-modal measurement data to a cloud server. And only the metering result and the equipment state data are uploaded under the condition of no abnormal working condition. And the cloud server receives the uploaded data packet, performs three-dimensional flow field reconstruction on the data through a physical prior guide large model, and obtains virtual sensor data of the failed sensor and a three-dimensional uncertainty field. And according to the reconstructed complete three-dimensional flow field, in combination with the real-time water level and the latest riverbed topography, performing numerical integration on the flow cross section to obtain a cross section flow value.

The invention provides an electric power monitoring data credible evidence storage and tracing method, which comprises the following steps of: acquiring state data in real time through an electric power tool integrated with a star flash communication module, and transmitting the monitoring data to an edge gateway in real time by adopting a star flash technology; the edge gateway receives the star flash data from each electric power tool, performs timestamp marking of Beidou clock synchronization, packages the data into blocks through an improved PBFT consensus algorithm, and stores the blocks in a local block chain; when the public network communication is recovered, synchronizing the local block chain data to a cloud block chain network through a wireless network; and carrying out tracing query on the block chain data based on the intelligent contract, and generating a credible tracing report containing a complete operation time sequence through timestamp comparison. The invention further provides a corresponding system. By implementing the method, the real-time performance, the integrity and the traceability of uploading the power monitoring data can be improved, and the traceability efficiency can be improved.

A method for managing data packing in a storage includes: receiving data from a computing device at a first point-in-time; analyzing the data to: determine characteristics of the data, and generate an extent for the data, in which the extent includes sequential tracks; analyzing sequential tracks to infer how a distribution of compression sizes change for the sequential tracks to obtain track-level in the compression sizes; forecasting, based on the characteristics of the data and the track-level changes in the compression sizes, a stability score of the distribution at a second point-in-time, in which the second point-in-time is after the first point-in-time; making a determination, based on the stability score, that the distribution would be the same in the second point-in-time; and placing, based on the determination, the tracks to a first zone in the storage, in which the storage further comprises a second zone and a third zone.

The invention provides an automatic evidence obtaining method and device for Internet content, equipment and a storage medium, and the method comprises the steps: obtaining to-be-processed tasks in batches, analyzing the obtained to-be-processed tasks, and obtaining the key task information of each to-be-processed task; based on the task priority and the task type of each to-be-processed task and the resource information of each server node in the server cluster, allocating each to-be-processed task to the corresponding server node; each server node configures a task parameter of a browser instance corresponding to each to-be-processed task based on the task type and evidence obtaining mode of each to-be-processed task to obtain a browser instance adapted to each to-be-processed task; and based on the browser instance adapted to each to-be-processed task, performing loading, screenshot, watermark adding, data packaging and other processing on the target webpage corresponding to each to-be-processed task to obtain an evidence obtaining result of each to-be-processed task. According to the method disclosed by the invention, efficient batch evidence obtaining of the Internet content can be realized.

The invention relates to the technical field of computers, and discloses a multi-FPGA collaborative deep neural network parallel acceleration method. According to the method, unified compiling and automatic calculation graph segmentation mapping based on a dynamic programming algorithm are carried out on a deep neural network model through a host control node, a heterogeneous strategy fusing data, the model and assembly line parallel is generated, and the problems of single FPGA computing power resource limitation and memory wall are effectively solved; direct communication between the FPGAs is achieved through a high-speed point-to-point internet, an asynchronous assembly line execution mechanism and a hardware-level data packaging technology are combined, communication delay is reduced, assembly line bubbles are eliminated, and a multi-FPGA cluster reaches a near-linear speed-up ratio; computing distribution is optimized in real time through a global load balancing unit, and the equipment utilization rate is increased; and meanwhile, a transparent deployment interface is provided through the hardware abstraction layer, so that the super-large-scale neural network can efficiently run on a multi-FPGA platform with low delay, and the overall calculation efficiency is improved.

The invention provides a tower internet-of-things monitoring device and a monitoring method thereof, and the device comprises a tilt angle sensor, a vibration sensor, a control module, a storage module and a wireless communication module, and the tilt angle sensor and the vibration sensor are used for collecting tilt angle data and vibration data of a tower. The control module is electrically connected with the tilt angle sensor and the vibration sensor, obtains data output by the tilt angle sensor and the vibration sensor and is used for monitoring the sensor data to judge that the state of the tower is abnormal, and when an abnormal event is detected, the sensor data related to the event is packaged and stored in the storage module; and the packaged abnormal data is uploaded to a remote server through the wireless communication module. And the control module has a data package integrity verification function, so that the data package is accurately and reliably uploaded.

The invention relates to the field of system engineering modeling, and particularly discloses a SysML-based modeling method, system and product, and in the modeling method, a functional architecture design step comprises the following steps: creating a functional architecture document, sequentially creating each functional module, and defining a subordination relationship of the functional modules; defining the input and output function data of the function module, and defining the function data and the direction at the same time; reading and identifying the functional architecture document, and creating a module definition diagram and an internal block diagram; the physical architecture design step specifically comprises the following steps: defining a software module for realizing each functional module; defining a physical data type and a data packaging mode for realizing each piece of functional data; and generating a state machine diagram for describing an interaction relationship and state driving logic of corresponding physical data when the software module runs, and defining a data transmission channel by determining a port and a protocol. According to the method, the problem of low efficiency of modeling design and communication cooperation caused by semantic limitation and structural mixing of a traditional SysML modeling method can be solved.

The invention discloses an SOQPSK demodulation performance monitoring method and system based on upper computer visual feedback. An SOQPSK signal is demodulated by adopting a maximum likelihood sequence detection method based on a Viterbi algorithm; removing the influence of a phase pulse function through matched filtering processing, extracting I / Q data of a fixed sampling point in each symbol period, carrying out time domain superposition, and generating eye pattern data in real time; based on the mapping relation between the grid state variable of the SOQPSK demodulator and the CPM phase state, the maximum survival state in the Viterbi algorithm is used as a phase value, and constellation diagram data is generated in real time in combination with the survival path measurement increment; and packaging the eye diagram data and the constellation diagram data to an upper computer for display, performing performance parameter evaluation and feeding back to a demodulator. The FPGA generates eye diagram and constellation diagram data in real time and sends the eye diagram and constellation diagram data to the upper computer for display and performance evaluation, and visual performance monitoring is provided. And parameters of the demodulator are adjusted in real time, so that a closed loop is integrally formed.

A system and method are disclosed for generating personalized motivational, wellness, educational, and entertainment multimedia content using multimodal artificial intelligence. The system constructs an Emotion State Vector (ESV) from user inputs, diaries, biometric data, and context. A Modality Script Generator (MSG) defines time-coded orchestration across music, narration, captions, and visuals. Scripts execute via a Model-Agnostic Adapter Layer (MAAL) across heterogeneous Al engines. A Synchronization Graph (SyncGraph) maintains acceptable inter-modal drift, while a Dynamic Media Formatter (DMF) applies bounded repair policies and packages synchronized outputs with timed metadata. A Policy / Constraint Graph enforces rights and provenance, logged in a Transform Manifest.

The present application provides a kind of data distribution device, data distribution system and data distribution program.Data distribution device (2) has: update data acquisition unit (9a), obtains the multiple update data corresponding to multiple write object electronic control device;Reorganization information acquisition unit (9b), obtains the reorganization information for by main device parallel execution to multiple write object electronic control device transfer update data transfer processing;Data packet generation unit (9c), multiple update data are segmented based on reorganization information to generate segmented data, and the segmented data of multiple update data generated are packed to generate multiple data packets;And distribution control unit (9e), multiple data packets are distributed to main device.

The invention relates to the technical field of electric power detection equipment, and discloses a communication method and system for dynamic networking of an SF6 remote transmission density meter, and the method comprises the steps: building wireless connection with a started field sensor, and obtaining the signal strength and position information; calculating a signal intermediate value as a screening value, and dynamically adjusting a screening condition in combination with a position distribution uniform value until the distribution meets the requirement; position intervals are divided, networking sensors are selected, and field sensors are controlled to be networked with the networking sensors; and the networking sensor responds to the acquisition instruction, generates data and awakens the field sensor to acquire the data, and the data are packaged, uploaded and jointly dormant. The scheme adapts to different scenes through dynamic networking, improves data transmission reliability, reduces energy consumption, and is suitable for remote transmission density monitoring of a power system.

Methods and systems providing a holistic approach to error data collection in a complex system, such as a distributed storage system, are disclosed. Telemetry data across a number of system components and their operational attributes is collected, structured and used to generate a correlation matrix. The correlation matrix is used to generate a graph. The graph includes a plurality of nodes corresponding to the plurality of attributes and a plurality of edges corresponding to a correlation between at least two nodes. The graph indicates correlated attributes such that, upon detection of an error, attribute data relating to correlated nodes is packaged and transmitted for error analysis.

The present disclosure relates to a block generation method and device, a storage medium and an electronic device. The method comprises: obtaining block generation configuration information, which is determined based on a state parameter of a block chain network; determining a block storage capacity according to the block generation configuration information; and packing data to be stored in the block chain into a block based on the block storage capacity. Since the block generation configuration information is determined based on the state parameter of the block chain network, the above technical solution can adjust the size of the block according to the state of the block chain network. For example, in the case where the block generation frequency of the block chain network is high, the capacity of a single block can be increased, thereby reducing the block generation frequency and further reducing the input / output frequency of the node, and optimizing the performance of the block chain network.

The application belongs to the technical field of network data transmission, and discloses a data internal and external network transmission method and equipment. The method comprises the following steps: in response to a transmission request of to-be-transmitted data, dividing the to-be-transmitted data according to fields; determining an encryption level according to the sensitivity level of the to-be-transmitted data; generating a plurality of key-value pairs by taking each field name as a key and taking field content as a value, to obtain structured data; mapping each field name into a field code according to a field mapping dictionary, and encrypting the field content according to the corresponding encryption level; and generating a message header comprising a field mapping dictionary identifier, an encryption level identifier and a data type identifier of the to-be-transmitted data; and packaging and transmitting the message header and the structured data. The application realizes the safe transmission of data between internal and external networks.

The utility model relates to project data packing and encapsulating technical field, especially intelligent collection and encapsulation integrated machine of project data, including machine case, the left and right symmetry of machine case top portion is provided with the placing plate, the back of machine case top portion is provided with the baffle, is provided with the collection component that can align and arrange the project data that needs packing and encapsulating on machine case, rotationally is provided with the rotating shaft between two baffles, the swing frame is symmetrically set up on the rotating shaft. The device has corresponding structure auxiliary in the encapsulation link, the operation such as fixing, pulling and tightening of thermoplastic encapsulation strip. The clamping plate and support plate cooperate to stably fix one end of the encapsulation strip, the servo motor drives the rotating column to rotate to accurately pull the encapsulation strip to the taut state, and the tightening degree can also be controlled by setting the rotation number, which avoids the material bag from falling off and prevents the internal material from being damaged due to tightness.

This invention discloses an automated synchronization control method for multi-node microcontrollers based on edge collaboration, relating to the field of distributed collaborative control technology. The method includes: calculating the norm of the collaborative synchronization error vector and setting a trigger threshold; when the norm of the collaborative synchronization error vector exceeds the trigger threshold, packaging the local real-time state data of the corresponding microcontroller node into a state data packet and sending it to the edge server; controlling the edge server to receive the state data packet and performing state estimation using a State-Space model to generate a global state estimate; based on the global state estimate, using a model predictive control algorithm to calculate the optimal collaborative control sequence for the microcontroller node; extracting the first control command from the optimal collaborative control sequence and issuing it to the corresponding microcontroller node to drive the actuator; this invention improves the collaborative control efficiency and operational stability of multi-node microcontrollers through a cloud-edge-device control method.

The embodiment of the invention provides a caching method and device for bus signals of a vehicle. The method comprises the following steps: acquiring cache configuration of a pre-configured bus signal; wherein the cache configuration stores a cache parameter which is configured based on the signal characteristic association of each bus signal; loading the cache configuration, and performing cache processing on data generated by the bus signals according to cache parameters configured in association with each bus signal; and in response to the cache uploading request, packaging the cached data and then uploading the data.

The data packaging method based on the avionics core processing platform of the present invention classifies and packages the data to be loaded according to certain data format requirements, thereby improving the efficiency of software maintenance, loading and management and enhancing the safety of avionics equipment. First, different loadable software aircraft parts are formed according to whether each software item is related to the device location. Secondly, multiple raw data with dependencies are packaged or combined into a separate binary configuration file or database, and a specific operation configuration table in a specific loadable software aircraft part is generated for the avionics core processing platform; then, a loadable item header is added to all executable files or configuration files to be loaded through a data file generation tool to generate a loadable item; then, a support file is generated for all loadable items through a support file generation tool, so that the information contained in the loadable software aircraft part is conveniently processed uniformly during the loading process, and the performance is high.

This application provides a rapid migration method and system based on customized data packages, as well as a readable storage medium. The rapid migration method based on customized data packages includes: extracting metadata from oil and gas exploration data using a general data acquisition module, employing the system's native API and file parsing algorithms; based on the metadata and the target operating system, formulating a migration strategy and monitoring the migration process through a control module, and generating a task execution list; dynamically adjusting the execution plan of the task execution list through a scheduling module, and generating a task execution priority list; and according to the task execution priority list, encapsulating and transmitting the data to the target system through a migration module, and unpacking the data according to the mapping index file and the unpacking priority list. Through the technical solution of this application, seamless data synchronization across operating systems can be achieved through customized data packaging and index mapping strategies, ensuring that the migrated data is immediately available and improving the execution efficiency of seismic exploration projects in multi-platform collaborative scenarios.

The invention discloses a JFMQL-based aviation airborne information processing board card, which comprises a JFMQL series PSoC chip, a DDR3 memory, a PCIe bridge chip and an external connector, the PL end of the JFMQL series PSoC chip is provided with a PCIe core, and the PCIe bridge chip is electrically connected with the PCIe core at the PL end of the JFMQL series PSoC chip and is electrically connected with the external connector; the DDR3 memory is electrically connected with the PSoC chip of the JFMQL series; and the PCIe core packages data to be interacted on the DDR3 memory into PCIe data according to a PCIe protocol, and the PCIe data are output to two external NVMe hard disks by the external connector through two paths of PCIe * 4 ports expanded by the PCIe bridge chip. According to the invention, the airborne communication rate can be effectively improved.

The application relates to a power grid special communication protocol transmission method, system and device based on FPGA. The method mainly comprises the following steps: packaging data to be transmitted into frame structure data; performing forward error correction coding on the frame structure data at a sending end to form extended frame structure data; transmitting the extended frame structure data to a receiving end through a communication link; performing forward error correction decoding on the received frame structure data at the receiving end to obtain decoded frame structure data; performing frame disassembling processing on the decoded frame structure data to extract valid data; and checking the valid data, and completing data receiving when the checking is passed. The application can solve the protocol jamming problem caused by asymmetric bandwidth, and improve the reliability and efficiency of data transmission of a power optical fiber communication system.

The invention relates to an electroencephalogram acquisition system supporting visual monitoring and real-time brain control interaction. The electroencephalogram acquisition system is used for overcoming the defects in the prior art in the aspects of high-quality acquisition, real-time processing, data visualization, external interaction control and the like of electroencephalogram signals. According to an acquisition module of the system, 16-channel electroencephalogram signals are synchronously acquired through cascade connection of two ADS1299 chips, the chips are connected in a daisy chain and standard cascade connection combined mode, the number of digital signal interface lines is reduced, and independent configuration and synchronous control capacity of each chip are reserved. The micro-control module is realized by using an embedded program based on a FreeRTOS real-time operating system, communicates with the acquisition module, receives and caches electroencephalogram data, packages the electroencephalogram data and wirelessly sends the electroencephalogram data to the upper computer module. And the upper computer module carries out real-time analysis, reconstruction and visual display on the received electroencephalogram data. And the interaction control module extracts and identifies electroencephalogram characteristics based on analysis and reconstruction results of the upper computer module, and sends a control instruction to external equipment to realize closed-loop brain control interaction.

The application discloses a mirror deployment method and system based on a mirror acceleration technology, and the mirror deployment method based on the mirror acceleration technology comprises the following steps: performing format conversion on a first mirror file in a target platform to obtain a second mirror file; the format of the first mirror file is an OCI format, and the format of the second mirror file is a Nydus format; comparing mirror files already stored in a mirror pool, performing deduplication on the second mirror file, and storing the deduplicated second mirror file into the mirror pool; in response to an export task, packaging data corresponding to a target mirror file in the mirror pool to form a deployment data packet, the target mirror file being a mirror file that needs to be deployed in a container in a guest environment; and based on a snapshotter, deploying the deployment data packet in the container to deploy the target mirror file in the container, the snapshotter being used for understanding and running the mirror file in the Nydus format. The application aims to improve the container startup speed, optimize the storage efficiency and enhance the security during runtime.