284 results about "Data delay" patented technology

The invention discloses a high-frequency power data acquisition adaptive frequency and priority processing method and device based on resource load feedback, and a storage medium, and belongs to the technical field of high-frequency power data processing. The method comprises the following steps: acquiring resource load information of a distribution network side intelligent terminal node in real time; according to the real-time resource load information, judging whether a preset sampling period of the power monitoring data needs to be adjusted, if so, dynamically correcting through a double-layer fast and slow ring adjusting mechanism to obtain a final sampling period, and otherwise, maintaining an original period; acquiring power monitoring data acquired by the node in the corresponding sampling period; and on the basis of a preset priority queue grading rule, a tube queue algorithm is utilized to adopt a differential transmission strategy for the data, so that priority processing of different levels of data is realized. The method does not need to depend on a prediction model, and realizes acquisition link elastic control and key data delay guarantee through real-time quantification of node loads, dual-time-domain closed-loop adjustment of a sampling period and hierarchical queue management messages.

The invention relates to the field of intelligent transportation, and discloses a handling equipment management method for intelligent transportation, which comprises the following steps: acquiring an original data stream of handling equipment according to an Internet of Things sensor; performing space-time alignment calibration on the original data stream to obtain a structured operation state data set with equipment space-time relevance; inputting the structured operation state data set into a space-time convolutional network for feature learning; according to the method, the original data stream of the carrying equipment is collected through the Internet of Things sensor, the state data of the equipment can be obtained in real time in combination with the space-time alignment calibration technology, and the space-time relevance of the data is ensured. The accurate real-time monitoring provides a reliable data basis for subsequent decision making, the scheduling problem caused by data delay or inconsistency in a traditional method is avoided, the structural data are input into the space-time convolutional network for feature learning, the operation features of the equipment can be effectively extracted, and the method is suitable for large-scale popularization and application. And accurate input is provided for subsequent dynamic path planning.

The invention provides an advertisement putting dynamic game decision-making method and system based on multi-objective optimization, and the method comprises the steps: obtaining user behavior key data which comprises user visual focus position information; transmitting the user visual focus position information to a multi-target optimization model in a preset decision server, and generating multi-target optimization model input data; analyzing the input data of the multi-target optimization model and a preset game constraint condition by using the multi-target optimization model to generate a multi-target game decision parameter; and carrying out dynamic game deduction calculation based on the multi-target game decision parameters, and generating a dynamic advertisement position adjustment scheme so as to carry out advertisement putting dynamic game decision. According to the method, millisecond data is transmitted to the multi-target optimization model, the problem of strategy oscillation caused by data delay and target conflict in traditional advertisement decision making in a real-time attention scene is solved, and accurate dynamic matching of user focus drift and advertisement display is realized.

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 satellite angular rate identification method and related equipment, and relates to the technical field of rocket launching, and the method comprises the steps: obtaining a rocket telemetry video frame sequence after satellite-rocket separation; for each frame of image of the rocket telemetry video frame sequence, determining a dynamic image area of the target satellite based on the static area mask; based on a feature detection algorithm, binary descriptors are extracted from dynamic image areas of two adjacent frames of images; based on the binary descriptor, matching corresponding feature point pairs between two adjacent frames of images; estimating a rotation matrix between two adjacent frames of images through an iterative optimization algorithm based on the corresponding feature point pairs; and determining the angular rate of the target satellite according to the rotation matrix and the time interval between the two adjacent frames of images. According to the method, rapid and high-precision identification of the satellite angular rate is realized, the problem that the traditional technology depends on indirect data and is high in delay is solved, task success or failure can be judged in real time, and the launching task evaluation efficiency is improved.

The embodiment of the invention discloses a three-dimensional tennis track real-time reconstruction method and system based on multiple cameras, internal and external parameters and calibration results of the multiple cameras are utilized, respective two-dimensional pixel coordinates are converted into three-dimensional rays, and nodes are positioned in combination with a minimum distance algorithm. According to the embodiment of the invention, the real-time reconstruction of the three-dimensional track of the tennis ball is realized by virtue of the synchronous multi-camera two-dimensional image through the steps of camera accurate calibration, two-dimensional to three-dimensional ray conversion, intersection point calculation and screening, data output and the like. Compared with the prior art, the reconstruction precision is improved through accurate calibration and ray intersection screening; by means of multi-camera data synchronization and simple calculation process, data delay is reduced, and real-time performance is prominent; by means of multi-camera data redundancy and a placeholder mechanism, the robustness in a complex environment is enhanced; the output three-dimensional point data can directly support the functions of ball speed calculation and the like, and the expansibility is good.

The invention specifically relates to a remote safety officer allocation system and method for a pilotless automobile, and relates to the technical field of pilotless automobiles, and the system comprises a vehicle state monitoring and data collection module; a communication and network guarantee module; a security officer resource management module; the task scheduling and dynamic coordination module is configured to perform intelligent task allocation based on vehicle requirements and safety officer states to realize optimal resource allocation; and an emergency response and decision support module. According to the invention, the vehicle state monitoring and data acquisition module fuses data of multi-source sensors such as a laser radar and a camera and high-precision positioning information, realizes no-dead-corner environment perception, and improves the integrity of environment information compared with a traditional scheme; after the edge computing node preprocesses the original data, the cloud data transmission quantity is reduced, satellite double-channel communication redundancy is combined, it is ensured that the emergency instruction transmission delay is reduced, and the response speed is increased compared with a single network scheme; and the accident risk caused by data delay or interruption is reduced.

The invention provides an intelligent all-in-one machine with a body, a system and an operation method, and belongs to the technical field of industrial automation and robot control systems.The all-in-one machine comprises an automation system IDE module, an automation system driving module, a robot body driving module and a function supply module, the function supply module is used for providing a data acquisition function, a simulation task execution function, a model training function and a model reasoning function with time synchronization for the robot body driving module according to a control command which can be executed by the robot; the intelligent all-in-one machine solves the problem of time synchronization between the all-in-one machine and the robot, between the acquisition module and the robot and between the acquisition module and the multi-frequency sensor data, and ensures that the time synchronization between the acquisition module and the robot and between the acquisition module and the multi-frequency sensor data is realized in the sensor data acquisition, model reasoning and task execution processes through accurate timestamp management and a multi-level time synchronization mechanism. Millisecond-level time alignment of data of all the modules can be achieved, and control errors caused by time drift and data delay are effectively avoided.

The invention discloses a digital dangerous cargo transportation supervision system and method, belongs to the technical field of vehicle supervision, and aims to solve the problems that in digital dangerous cargo transportation, loading and unloading links are insufficient in authenticity verification, abnormal fluctuation in the transportation process is difficult to recognize in real time, and abnormal handling response is delayed. After a dangerous cargo transportation electronic waybill is obtained, loading and unloading scene verification is completed by delimiting a compliance area, shooting an initial scene image and dynamically constructing an image flow sequence, and a carrying password is generated for cargo encryption storage and unloading unlocking; a passing route is segmented, a vehicle operation base line is established based on historical data, data delay and loss are distinguished by monitoring the conformity and transmission interval of transportation data and the base line, abnormal fluctuation is recognized, and early warning is triggered; and during early warning, a target verification position is selected based on positioning, and the vehicle is guided to the verification area to complete abnormity verification. And cheating behaviors in loading and unloading links are avoided, transportation risks are identified, abnormities are quickly handled, and dangerous cargo transportation safety and supervision efficiency are effectively improved.

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 field of digital twinning and energy industry intellectualization, relates to a thermal power plant three-dimensional operation state digital twinning system, and solves the technical problems of traditional operation and maintenance data islands, visualization deficiency and prediction lag. The system constructs a'multi-source data fusion-dynamic physical deduction-virtual-real interaction control 'system: a multi-source data fusion engine gets through a DCS / SIS barrier to realize 200,000 + data point / millisecond-level synchronization; a GPU (Graphics Processing Unit) drives a VFX Graph particle system and an LOD rendering technology to achieve 90fps (at) 4K flue gas flow simulation on RTX 4080; an AR instruction is directly connected with a PLC to construct a virtual-real bidirectional control chain, and a'monitoring-deduction-intervention 'closed loop is formed. Key indexes are as follows: fault early warning is greater than or equal to 72 h, fault positioning is 0.5 h / time, data delay is less than or equal to 10 ms, and model precision is + / -2 cm. And an edge-cloud collaborative architecture is adopted, and lightweight deployment of a Unity model is realized. According to actual measurement of a Jingfeng-Dalberg power plant, the emergency response is shortened from 26 minutes to 4.3 minutes, and a predictable intervention driven innovative paradigm foundation is laid for thermal power digitization.

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 present invention discloses an electric energy acquisition terminal based on a distributed database, relating to the field of smart grid management technology. The electric energy acquisition terminal based on a distributed database includes: a smart meter; an electric energy data acquisition module; an electric energy transmission delay assessment module; and an electric energy data verification module. After initially collecting and pre-screening electric energy data, the present invention performs data quality verification and compliance verification to determine whether to perform qualified acquisition optimization. It then performs an electric energy transmission delay assessment to determine whether to optimize the electric energy data delay assessment results. Finally, it performs electric energy data verification and storage assessment to determine whether to perform electric energy data calibration and storage optimization. This improves the accuracy of the electric energy data acquisition process based on a distributed database, solving the problem of low accuracy in the electric energy data acquisition process based on a distributed database in the prior art.

The invention relates to the technical field of panoramic monitoring, and discloses a panoramic monitoring method, system and device based on a main and distribution model, and a medium, and the method comprises the steps: carrying out the reasonable model selection and layout of the main and distribution model, processing an image through the combination of an SIFT algorithm and a wavelet decomposition algorithm, and solving the problem of poor image splicing quality; the feature points are detected and positioned through the SIFT algorithm, the homography matrix is calculated to complete registration, and the image registration precision is improved; by setting different sampling frequencies, automatically adjusting exposure parameters and applying GPU parallel computing and compression encryption technologies, the risk of data delay and frame loss is reduced, and the real-time performance of data transmission and processing is improved; the sensor redundancy switching unit is used for monitoring in real time, rapidly switching standby sensors and recording logs, sensor faults are effectively handled, monitoring blind areas are prevented from being formed, and stable operation of the system is ensured.

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.

A digital front end processor is proposed that includes a transmit channel and / or a receive channel. The digital front end processor may be a part of a multi-antenna wireless communication system or any other system including multiple data channels for which data output is to be in synchronization. The digital front end processor includes a data buffer to receive input data in synchronization with a first strobe signal and generate output data based in the input data. The digital front end processor is to synchronize the output data of transmit channels or receive channels of a plurality of digital front end processors based on a data delay applied to the input data.

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 present application relates to a kind of airplane simulation model confidence optimization method, for airplane simulation model confidence is not high and airplane online data transmission delay problem, proposed the method for improving simulation model confidence and solving data delay problem in combination with simulation system, airplane transmission data.The characteristic deficiency phenomenon of simulation output data in real data exists in offline network correction, online network can be combined with delayed transmission real data to the secondary correction of offline correction result, so the method involved in the present application combines two parts of offline correction network and online correction network.Random forest algorithm and MDA method are used to extract the features of offline network and online network.The simulation data error is preliminarily corrected by bidirectional long short-term memory neural network (BiLSTM) network and time attention mechanism in offline network;And the error of offline correction result and real data is secondarily corrected by online algorithm FTRL.

The present application relates to the technical field of digital signal processing, and in particular to a method, device, equipment and medium for coarse positioning of a frame header based on a phase sliding window. The present application first performs polar coordinate transformation on the feedback signal to calculate the phase quantity; then downsamples the phase quantity to reduce the amount of data; then uses a mean sliding window with a sliding window length of L to perform mean filtering on the downsampled phase quantity, calculates the mean of the phase quantity in the window, and eliminates the mutation point error by subtracting the maximum and minimum values ​​of the phase quantity in the window; then delays the corrected mean data by half the length of the frame data to obtain the delayed phase quantity, compares the mean of the phase quantity in the window and the delayed phase quantity, and determines the middle position of the jump point; finally, calculates the starting point position of the frame header based on the middle position of the jump point and the amount of frame header data. The present application avoids complex complex multiplication operations, reduces hardware resource usage, can quickly complete coarse positioning, and improves the efficiency of the synchronization process.

The embodiment of the invention provides a peripheral data acquisition method and device based on a Web environment, and the method comprises the steps: taking a Web page input box as an event monitoring carrier, monitoring a code scanning gun or keyboard input event, and capturing input data; judging whether the input data is code scanning gun data or manual input data according to the input speed, the end mark or the data length; if the input data is the code scanning gun data, transmitting the code scanning gun data in the memory cache region to a business logic layer through a callback function; and if the input data is the manual input data, delaying the manual input data for a preset time and then redisplaying the manual input data to the input box.