187 results about "Data delay" patented technology

The invention relates to the technical field of data management, and discloses a dynamic partitioning and priority scheduling method based on time sequence data, which comprises the following steps: collecting time sequence characteristics of an industrial data source through an edge gateway and carrying out structured storage in Redis, the time sequence characteristics comprising collection frequency, historical peak time period and service priority; load indexes are calculated based on time sequence characteristics, and a distributed message system is driven to execute dynamic partition adjustment of pre-judgment type capacity expansion, hot spot precise splitting and low-peak intelligent capacity reduction; and full-link data priority scheduling is realized through production end route isolation, Broker end resource inclination and consumption end thread pool isolation. According to the invention, the dynamic adaptation of the distributed message system resource and the industrial time series data load is realized, the real-time performance of high-quality data is ensured, the integrity of data transmission and the system adaptability are improved, and the problems of poor load fluctuation adaptation, high-quality data delay and easy data loss due to faults in the prior art are effectively solved.

The invention discloses a reinforcement learning training acceleration system and method based on adaptive tensor parallelism, and relates to the technical field of artificial intelligence, and the system comprises an offline measurement module which constructs a system performance database before training; the reasoning execution module is used for executing an autoregressive reasoning task of the model in an RLHF generation stage and is responsible for collecting running state data of model reasoning in real time; the delay prediction module is used for estimating the residual generation time overhead of the model under different candidate tensor parallelism degrees and the switching time overhead required for completing one-time tensor parallelism degree switching in a generation stage in real time based on the system performance database and the operation state data; the switching control module is used for calculating predicted total delay under different candidate tensor parallelism degrees, and generating a switching control signal and sending the switching control signal to the switching execution module when a triggering condition is met; the acceleration system realizes a mechanism of generating stage tensor parallelism dynamic adjustment.

The invention provides a multi-working-condition dynamic adaptive ship hybrid power dispatching system, which is applied to the technical field of ship power systems and energy management, and comprises a data exchange module, a working condition module, a hybrid power generation module and an energy management module, wherein the data exchange module realizes cross-protocol data analysis and unified timestamp packaging, and ensures the consistency and real-time performance of data exchange between modules; the working condition module is used for collecting ship working conditions and generating working condition conversion signals, an EMS in the energy management module is used for calculating a scheduling strategy, and the hybrid power generation module executes power distribution and charge-discharge control of the diesel generator set, the axle generator and the battery pack according to the scheduling strategy. Through the data exchange module, the problems of data delay and errors caused by complex protocol fusion and non-uniform clocks are solved, and the dynamic adaptation and response capability of the ship under complex working conditions is effectively improved.

The invention is suitable for the field of vehicle-road cooperation, and provides a real-time intelligent data stream analysis and management method and system, and the method comprises the steps: obtaining multi-type data streams transmitted by a vehicle terminal, roadside equipment and a cloud platform in a vehicle-road cooperation scene; assigning priority levels to the multi-type data streams; carrying out parallel processing on the data streams with different priorities by adopting a self-adaptive analysis algorithm, and extracting environment perception features, vehicle state features and traffic event features; performing integrity and accuracy verification on the analyzed feature data through a real-time verification model, marking abnormal data and triggering a correction mechanism; according to the priority level and a data quality evaluation result, dynamically distributing, calculating and transmitting targeted resources, and pushing effective feature data to a corresponding decision node to support real-time response; priority transmission of key data is guaranteed through dynamic priority scheduling, abnormal data is verified and corrected in real time, and the problems of poor multi-source data fusion, key data delay and the like are effectively solved.

The invention belongs to the technical field of energy storage power stations and microgrids, and particularly relates to a method for automatically identifying industrial equipment based on a configurable protocol of an EMS. A protocol management module containing point location, equipment and business group management is constructed in an EMS system, and equipment connection information of different manufacturers, point location information (integrated into a standard protocol through a business unified identifier) and a business function and point location association relationship are configured, stored in a corresponding data table and refreshed to a general protocol cache. And the data acquisition program calls the corresponding protocol module to acquire real-time data, stores the real-time data in the data cache, and reads the data from the cache during display. According to the method, logic separation of the protocol and the program is realized, heterogeneous equipment of multiple manufacturers can be dynamically adapted without modifying the program, the problem of incompatibility of the protocol is solved, busy equipment bus and data delay are avoided, and the stability and the maintenance efficiency are improved.

The invention relates to the technical field of data acquisition, and discloses a low-power-consumption edge calculation outdoor energy storage power supply data acquisition system, which comprises a data analysis unit, a collaborative analysis unit, a probability analysis unit and an acquisition correction unit, and is characterized in that the data analysis unit, the collaborative analysis unit, the probability analysis unit and the acquisition correction unit are combined for analysis; intelligent dynamic regulation and control of outdoor energy storage power supply data acquisition are realized, the defect of data delay under low temperature and high load in a traditional fixed frequency acquisition mode is overcome, the data acquisition effect is ensured, low power consumption is ensured, meanwhile, the real-time recognition capability of hidden dangers such as over-discharge and internal resistance abnormity is improved, and the real-time recognition capability of the hidden dangers such as over-discharge and internal resistance abnormity is improved. And the cycle service life of the battery is effectively prolonged.

The application discloses a kind of digital dangerous goods transport supervision system and method, belong to vehicle supervision technical field, to solve the authenticity of digital dangerous goods transport in loading and unloading link is insufficient, transport process abnormal fluctuation is difficult real-time identification and abnormal disposal response lag problem.After obtaining dangerous goods transport electronic transport note, by demarcating compliance area, shooting initial scene image, dynamic construction image flow sequence is completed loading and unloading scene verification, generates carrying password for goods encryption storage and unloading unlocking;To the section of route, establish vehicle operation baseline based on historical data, by monitoring the compliance of transport data and baseline and transmission interval, distinguish data delay and loss and identify abnormal fluctuation, trigger early warning;In early warning, based on positioning selection target check position, guide vehicle to check area to complete abnormal check.Eliminate the cheating behavior of loading and unloading link, identify transport risk and dispose abnormality quickly, effectively improve dangerous goods transport safety and supervision efficiency.

The invention discloses an oil field equipment fault early warning method based on a block chain, and relates to the technical field of oil field equipment fault early warning. The problem of key data delay or congestion discarding caused by traditional fixed-rate transmission in a complex edge-block chain collaborative environment is fundamentally solved. Compared with a'one-cut 'transmission strategy in the prior art, the method intelligently adjusts the transmission rate of each structured data packet in combination with the real-time bearing state of a network link according to the fault risk level and the aging attenuation characteristic of the data and the current oil field operation stage, and improves the data transmission efficiency. And high-risk and high-emergency equipment state data can be preferentially and quickly sent to the target parallel chain. The optimization directly ensures that the structured data written into the block chain has higher time freshness and stronger business relevance, so that the accuracy, sensitivity and early warning capability of a fault prediction result are remarkably improved.

The embodiments of the present disclosure relate to a transmitting device and a transmitting method for a radio frequency interface, a receiving device and a receiving method for a radio frequency interface, and a chip. [Solution] The radio frequency interface transmitter includes a transmission controller having a traffic data interleaving means, a delay adjustment amount determining means, and a framer means. The traffic data interleaving means is configured to serially interleave data of a plurality of data channels based on a current interleaving pattern to form interleaved data including one or more periods. The delay adjustment amount determining means is configured to determine a delay adjustment amount for each data channel corresponding to the current interleaving pattern. The framer means is configured to form a traffic frame based on the interleaved data, and the framer means is further configured to form a management frame.

The application relates to a method and device for automatically planning a spacecraft orbit calculation and an electronic device. The epoch time for which orbit calculation is to be performed is obtained, the last update time of Kepler six elements is obtained, the data delay duration is determined according to the epoch time and the last update time of the Kepler six elements, the target timeout threshold is determined based on at least one of the current orbit type, the spacecraft working mode and the spacecraft state, and the spacecraft orbit calculation is performed based on the Kepler six elements to determine the position and speed of the spacecraft when the data delay duration is less than or equal to the target timeout threshold. The comparison mechanism between the data delay duration and the dynamically configured target timeout threshold is established, intelligent decision of the orbit calculation mode is realized, the most suitable orbit calculation mode can be automatically selected according to the actual situation, the uncertainty caused by manual intervention is avoided, and the demand of different scenes can be met.

The application discloses a kind of video conference equipment inspection method, device, equipment, medium and product, the method includes when detecting that video conference equipment enters standby state or receives inspection instruction, the image data of video conference equipment is obtained;Feature extraction is carried out to image data, and diagnostic feature is obtained;According to diagnostic feature, the picture state of video conference equipment is detected;If abnormal picture state is detected, corresponding device identification and multi-modal video stream are obtained according to abnormal picture state;Audio data delay detection and mosaic identification processing of image frame are carried out to multi-modal video stream, and audio detection result and image recognition result are obtained;According to the audio detection result and image recognition result, the device fault type of video conference equipment and confidence score are determined, to obtain the inspection report of video conference equipment.Can carry out primary diagnosis and multi-modal joint analysis to the image data of video conference equipment, realize the efficient and accurate video conference equipment inspection.

The invention relates to the field of chips, and discloses an HBM packaging-based cache structure and electronic equipment, and the structure is characterized in that a first surface of a silicon interposer is provided with a calculation bare chip and a first HBM stack, the first HBM stack is located outside a coverage area of the calculation bare chip, a second surface of the silicon interposer is provided with a second HBM stack and a third HBM stack, a part of a storage area of the second HBM stack is located in the coverage area, and the third HBM stack is located in the coverage area; the third HBM stack is completely located in the coverage area; the priority sensing module in the computing bare chip determines the priority of cache data, the address mapping module selects a storage area for mapping the cache data from the first HBM stack, the second HBM stack and the third HBM stack according to the priority of the cache data, the routing module allocates interconnection paths, the first HBM stack and the second HBM stack are located in the storage area outside a coverage area, and the first HBM stack and the second HBM stack are located in the storage area outside the coverage area. The second HBM stack is located in a storage area in the coverage area, and the priorities of the stored cache data of the third HBM stack are sequentially increased. And the high-priority cache data delay is reduced.

The application discloses a real-time index updating method and an updating device thereof, belongs to the technical field of real-time calculation, can effectively solve the data jitter problem in the real-time index updating process, can effectively solve the data delay problem in the real-time index updating process, is completely transparent to the end user in the process of real-time index updating, and realizes decoupling of the index updating and index use processes; a metadata storage unit is used for maintaining a registration information table of an index set, the registration information table comprises the following fields: a master unit is used for receiving an index set updating request, registering the index set to the metadata storage unit, and submitting a report data calculation job to a Flink cluster.

The present invention provides a base station and terminal equipment that suppresses the delay of data transmitted via uplink. [Solution] In an information communication system, the base station AP includes a first radio signal processing unit, a second radio signal processing unit, and a link management unit. The link management unit establishes a multilink with a wireless terminal device using the first and second radio signal processing units. The link management unit generates a trigger frame to cause the wireless terminal device to transmit uplink data and causes the first and second radio signal processing units to transmit the trigger frame to each.

The invention provides a wind field big data transmission method based on machine learning, and the method comprises the following steps: (1), wind field big data full-dimension collection and validity carding, and (2), machine learning driven wind field data hierarchical classification and machine learning prediction model training: model input, model output and model training. Performing data layering and classification: inputting the preprocessed data into the trained model, outputting a classification result and performing layering: P1 level, P2 level, P3 level and P4 level; according to the method, a machine learning model accurately predicts the data priority, staggered transmission and dynamic time slice adjustment are combined, the transmission delay of P1 / P2-level key data is controlled within 100 ms, the packet loss rate is lower than 0.5%, compared with a traditional method, the transmission reliability is improved by 80%, and the method has the advantages that the method is simple and easy to implement, and the method is suitable for large-scale popularization and application. And fan control errors or fault missed judgment caused by data delay can be effectively avoided.

The application discloses a DAC double-channel synchronous output automatic calibration method and system based on FPGA, relates to the technical field of multi-channel data synchronization, and comprises the following steps: calculating a clock delay calibration value according to a link delay value read from the register of a DAC chip, and configuring the register of the DAC chip according to the clock delay calibration value; calculating a data dynamic delay compensation value according to the phase difference value between the SYSREF phase measurement values read from two DAC chips; calculating a fixed delay compensation value corresponding to the two DAC chips according to the waveform phase difference time of two-channel test data; calculating a data delay compensation value according to the data dynamic delay compensation value and the fixed delay compensation value; and performing delay processing on the data needed to be sent to the two DAC chips by using the data delay compensation value. The application can automatically complete the DAC synchronous output calibration of double channels, and does not need to compile FPGA programs when producing double-channel board cards, thereby improving the production efficiency.

The embodiment of the invention discloses an asynchronous clock domain data read-write method and a first-in first-out cache system, relates to the technical field of integrated circuits, and aims to reduce time delay of read-write data between asynchronous clock domains. The method comprises the following steps: writing to-be-written data into a write address; respectively sampling the write address by using a rising edge and a falling edge of a write clock of the write clock domain to obtain a rising edge address corresponding to the rising edge of the write clock and a falling edge address corresponding to the falling edge of the write clock; determining an address to be synchronized according to the predicted phase value, the rising edge address and the falling edge address; the predicted phase value is determined according to the phase difference between the write clock and the read clock in the mth write clock period; taking a to-be-synchronized address as the input of a first-stage trigger, and sampling the to-be-synchronized address through a read clock to obtain a synchronous address synchronized to a read clock domain; and reading the data in the first-in first-out memory based on the synchronous address. The method is suitable for data transmission.

The application belongs to the technical field of mobile communication, and particularly relates to a 5G core network user plane dynamic deployment method based on deep reinforcement learning. The application comprehensively considers three factors of edge server energy consumption, user plane data delay and base station traffic migration cost, establishes a 5G core network user plane dynamic deployment optimization model, so as to reduce the total operation cost in the operation period and ensure the service quality; the 5G core network user plane dynamic deployment optimization problem is converted into a Markov decision process model, and a DDQN algorithm is used for solving, so as to determine the optimal 5G core network user plane dynamic deployment strategy. The 5G core network user plane dynamic deployment method based on deep reinforcement learning has important significance for realizing the high energy efficiency and low delay of the 5G core network user plane and meeting the 5G low delay service demand.

The embodiment of the invention discloses a data transmission method and device based on a longitudinal encryption authentication device and a readable medium. A specific embodiment of the method comprises the following steps: carrying out dynamic identity confirmation on a target substation; generating a data transmission tunnel and transmission configuration information; carrying out data packet grouping on to-be-transmitted data packets in the to-be-transmitted data packet sequence; generating an identity verification label corresponding to the to-be-transmitted data packet group; according to the data security configuration information and the longitudinal encryption authentication device, performing data encryption on a data load in a to-be-transmitted data packet in the to-be-transmitted data packet sequence and the obtained identity verification tag sequence; and transmitting the encrypted data packet sequence to the target substation through the data master transmission tunnel, and transmitting the encrypted identity verification tag sequence to the target substation through the data slave transmission tunnel. According to the implementation, the data transmission logic is optimized, the data delay is reduced, and the data security of the data related to the power system in the data transmission process is ensured.

The application belongs to the technical field of digital information communication, and discloses an Internet of Things equipment unified communication and data integration platform for a smart ward; comprising: a data acquisition module, which acquires medical equipment analog operation data, performs data cleaning, and obtains a multi-source medical equipment data set; a delay compensation module, which performs data delay estimation and delay compensation on the multi-source medical equipment data set; an association correction module, which constructs an association event chain for a time sequence correction data set; an abnormality filtering module, which performs transmission signal abnormality filtering and outputs a fluctuation elimination data set; an inhibition adjustment module, which acquires ward broadcast information, performs inhibition correction on the ward broadcast information, and obtains inhibition correction broadcast information; and a unified transmission module, which integrates the fluctuation elimination data set and the inhibition correction broadcast information into a transmission data stream, and uses the transmission data stream for equipment communication; the accuracy and reliability of the smart ward Internet of Things equipment communication are improved.

The invention provides a non-intrusive multi-dimensional data acquisition system, which comprises a demand evaluation module used for acquiring a data acquisition demand, calculating a data acquisition demand degree and sending the data acquisition demand degree to a demand judgment module; the demand judgment module is used for calculating a data acquisition burden rate according to a data acquisition demand degree, carrying out data acquisition mode judgment and respectively sending a judgment result to the direct acquisition module and the distributed acquisition module; the direct acquisition module is used for directly acquiring data; the distributed acquisition module is used for performing distributed data acquisition according to the acquisition demand degree, calculating an acquisition node bearing rate and sending the acquisition node bearing rate to the intelligent scheduling module; and the intelligent scheduling module implements a scheduling plan according to the acquisition node bearing rate. According to the invention, the waiting time of the data in the acquisition process is effectively reduced, the data delay is reduced, the timeliness and accuracy of the data are improved, the burden of the system is reduced, and the stability of the system is improved.

The utility model discloses a portable display with a power bank function, which comprises a shell, a PCB (printed circuit board) and a lithium battery, a fast charging protocol charging and discharging management chip, a power supply module, a CC control chip, a DP converter and an image processing chip are integrally arranged on the PCB, and an LED (light-emitting diode) indicator lamp, a loudspeaker, a USB-C1 interface and a USB-C2 interface are arranged on the shell. An LCD display screen is arranged on the back of the shell; the fast charging protocol charging and discharging management chip is connected with the lithium battery, the power supply module, the CC control chip, the LED indicating lamp and the USB-C1 interface, the CC control chip is further connected with the USB-C2 interface and the DP conversion and image processing chip, and the DP conversion and image processing chip is further connected with the USB-C2 interface, the loudspeaker and the LCD display screen. According to the utility model, the stability of audio and video transmission is improved, the problems of data delay and lagging are avoided, and the user experience is further improved.

The application discloses a kind of block game area matching method, server obtains all player block information of entering block game and active link, and mutually matches, and each player block of the network connection delay between each other is less than the various player blocks of preset threshold value and is established as player set;Server is directed to each described player set, obtains the network position of each player block therein, selects the player block of center point as initial relay end;The relay end actively links each player block in the player set to which it belongs, and obtains the interaction data between each player block, and is uploaded to server in time;The application calculates player set by server, matches relay point by player set, and then realizes the relay exchange of data between server and player and player and player by relay point, realizes the problem that smooth play game cannot be played due to data delay in block game and data storage interaction problem.

The invention discloses a configurable large table grouping query optimization method based on a relational database, and relates to the technical field of databases. According to the method, grouping query performance is improved by establishing an aggregation result table, grouping aggregation query logic is asynchronously executed by utilizing a configurable timed task, and meanwhile, an original data scanning range is narrowed by adopting a flag bit mechanism. The method specifically comprises the steps that a scanning timed task is configured to read aggregation query configuration customized by a user regularly; setting a statistical flag bit for the original detail table; when incremental statistics is executed, uncounted records are locked; updating an aggregation result table according to the minimum grouping field; and a data verification mechanism is provided to ensure result accuracy. According to the method, the problem of data delay of a traditional materialized view scheme is solved, database pressure is reduced through a flag bit mechanism, user-defined aggregation logic is supported, and the grouping query efficiency under the large data volume is remarkably improved. The method is particularly suitable for a service scene in which complex grouping aggregation query needs to be frequently executed.

This invention relates to the technical field of nitrogen pipeline end-of-pipeline monitoring systems, and discloses a nitrogen pipeline end-of-pipeline monitoring system for underground coal mines. The system includes a point confirmation module, which acquires basic mine data, constructs a nitrogen pipeline access-type pressurization model, and determines the theoretical nitrogen access point based on the model; a correction module, which corrects the theoretical nitrogen access point based on the actual mine conditions, and confirms the actual nitrogen access point; a parameter acquisition module, which acquires parameter information at the end of a pipeline branch located at the actual nitrogen access point; and a signal processing and compensation module, which constructs a corresponding signal attenuation prediction model and a wireless transmission algorithm model based on the acquired parameter information. These models are used to quantify the impact of multiple interference sources on the signal. This system can quantify the impact of multiple interference sources on the signal, predict and dynamically compensate for signal attenuation in the mine, and solve data delay and packet loss problems through the wireless transmission algorithm model.

The application discloses a multi-source data intelligent integration query method, system, device, medium and product, relates to the technical field of data engineering, and comprises the following steps: acquiring a SqlNode query configuration configured through user visual interaction, and avoiding data delay and storage redundancy without pre-synchronizing data to a centralized database; analyzing the configuration, traversing data table nodes to generate corresponding temporary table nodes; determining temporary table connection conditions based on associated query node configurations, integrating data source table configuration sets, and uniformly processing target fields to obtain a target field set, so that the connection conditions can be flexibly adjusted to adapt to business changes and model adjustment costs are reduced; then, a target SQL statement is spliced and generated; Apache Calcite query parameters are configured, SQL is executed, and returned results are processed, multi-source heterogeneous data integration is realized, data islands are eliminated, and data query efficiency and reliability are improved.

The invention discloses an active distribution network short-circuit parameter on-line monitoring method, system and device and a medium, and belongs to the technical field of active distribution network short-circuit parameter monitoring, and the method comprises the steps: collecting operation data through applying excitation disturbance to a distributed power supply, delaying an embedded structure expansion phase space state vector, and recognizing a current limiting trigger point from an evolution track; extreme points are extracted from multiple working conditions to fit a current limiting boundary; establishing a state evolution model; iteratively evolving a to-be-measured working condition to a steady state to extract short-circuit current characteristics; and establishing a mapping relation between the margin and the short-circuit current characteristics, and outputting a short-circuit current predicted value and a leading current limiting boundary. According to the method, the multi-physical-domain parameters are converted into the state vectors, the short-circuit process is simulated through iterative evolution, online monitoring and prediction are achieved, the equipment damage risk of an actual short-circuit test is avoided, and the short-circuit current prediction precision is improved.

The invention discloses an extreme weather photovoltaic power generation calculation method based on graph recognition and data driving combined prediction, solves the problem of large deviation of short-time photovoltaic power generation prediction in extreme weather, and realizes photovoltaic power prediction optimization for extreme unstable climate. More importantly, in the operation process of the method, the whole cloud layer information collection, analysis and model correction processes are completed at a local end, the real-time meteorological data push of the meteorological bureau is not needed, the dependence on an external data interface can be eliminated, the problem of prediction failure caused by communication link interruption, data delay or permission limitation of the meteorological bureau is avoided, and the prediction efficiency is improved. And millisecond-level cloud layer evaluation and model response can be realized through local hardware, so that the timeliness and reliability of photovoltaic power prediction in extreme weather can be remarkably improved.

The embodiment of the application discloses an asynchronous clock domain data read-write method and a first-in-first-out cache system, relates to the technical field of integrated circuits, and is invented to reduce the read-write data delay between asynchronous clock domains. The method comprises the following steps: writing to-be-written data into a write address; using the rising edge and the falling edge of a write clock of a write clock domain to sample the write address respectively, so as to obtain a rising edge address corresponding to the rising edge of the write clock and a falling edge address corresponding to the falling edge of the write clock; determining a to-be-synchronized address according to a predicted phase value, the rising edge address and the falling edge address; the predicted phase value is determined according to the phase difference between the write clock and a read clock in the mth write clock period; taking the to-be-synchronized address as the input of a first flip-flop, sampling the to-be-synchronized address through the read clock, and obtaining a synchronized address synchronized to the read clock domain; and reading the data in the first-in-first-out memory based on the synchronized address. The application is suitable for transmitting data.

The invention belongs to the technical field of digital information communication, and discloses an Internet of Things equipment unified communication and data integration platform for a smart ward. Comprising a data acquisition module for acquiring medical equipment simulation operation data and performing data cleaning to obtain a multi-source medical equipment data set; the delay compensation module is used for carrying out data delay estimation and carrying out delay compensation on the multi-source medical equipment data set; the association correction module constructs an association event chain for the time sequence correction data set; the abnormity filtering module is used for carrying out transmission signal abnormity filtering and outputting a fluctuation elimination data set; the suppression adjustment module is used for collecting ward broadcast information and carrying out suppression correction on the ward broadcast information to obtain suppression correction broadcast information; the unified transmission module is used for integrating the fluctuation elimination data set and the suppression correction broadcast information into a transmission data stream and carrying out equipment communication by utilizing the transmission data stream; and the communication accuracy and reliability of the intelligent ward Internet of Things equipment are improved.