1345 results about "Jitter" patented technology

The invention relates to the technical field of communication, in particular to a dynamic priority dual-mode communication fault-tolerant switching method and equipment, and aims to solve the problems of communication interruption and service quality reduction when a main link is degraded in a complex electromagnetic environment. According to the method, a dynamic priority evaluation model and a dual-mode protocol cooperation mechanism are constructed, throughput, bit error rate, delay jitter, task semantic priority and aging constraint data of a main link and a standby link are collected in real time, a priority weight and a communication mode decision matrix are generated through combined modeling, an atomization switching instruction is executed according to the priority weight and the communication mode decision matrix, and a communication mode is switched. And completing path reconstruction and resource redistribution. The system further introduces link health prediction, a resource reservation pool and an online learning feedback loop, and supports fault pre-judgment, key task preemption and model adaptive optimization. According to the method, the limitation of a static threshold is broken through, the task semantics and channel state joint scheduling is realized, and the communication reliability, the service continuity and the intelligent fault-tolerant capability of a distributed system in a high-risk scene are remarkably improved.

The invention discloses a concrete internal defect quantitative detection method and system based on reflected waves, and belongs to the technical field of nondestructive testing. A reflected wave data matrix is obtained through multi-angle excitation and synchronous receiving; calculating energy characteristics of each channel, and constructing an energy response residual field; extracting waveform offset, spectrum jitter and phase change caused by defects by adopting a disturbance comparison algorithm to form a disturbance feature vector set; a defect-response function curved surface is further constructed, a defect topological structure is inversed based on gradient and curvature analysis, and defect geometric parameters are output; and finally, inputting the multi-moment defect parameters into the recurrent neural network, and predicting a defect evolution path and a failure risk. The method has high resolution and trend prediction capability, and is suitable for detection and early warning of concrete structures in bridges, tunnels and nuclear power projects.

The invention relates to the technical field of intelligent control of numerical control machine tools, in particular to a numerical control machine tool machining parameter self-optimization system based on cross-frequency interference coupling regulation and control, which comprises a cross-frequency interference event judgment unit and a dynamic coupling regulation and control unit, a cross-frequency interference event judgment unit calculates cross-frequency interference intensity factors in continuous M control periods by comparing a blade frequency band characteristic value rising amplitude with a cutter frequency band characteristic value falling amplitude, a cooperative regulation and control instruction is generated, a dynamic coupling regulation and control unit executes step down-regulation of the feeding amount after receiving the instruction, and the frequency band characteristic value of the blade is adjusted. And a main shaft torque compensation current is synchronously calculated and injected to stabilize the rotating speed, meanwhile, transient jitter is sampled through the rotating speed micro-oscillation suppression sub-module, reversed-phase pulse counteracting is generated, and when a blade frequency band characteristic value fluctuates, a cutter frequency band regression reference and an interference intensity factor reach a safe area, regulation and control are terminated, and the machining precision is improved.

The invention provides a gateway data transmission control method and system based on an improved token bucket method. According to the method, a traditional token bucket flow limiting method is improved by introducing a parameter self-optimization mechanism, a burst flow self-adaptive adjustment mechanism and a multi-node cooperative control mechanism. The method comprises the following steps: firstly, generating tokens according to a specified frequency and distributing the tokens to token buckets, and requesting to perform access control according to token acquisition conditions by a client; dividing the data into a plurality of independent data groups, queuing and processing the data groups in corresponding token buckets, and solving the optimal token bucket capacity and issuing rate to minimize data processing delay by analyzing the arrival rate and queuing probability of data packets; when a single-channel or group-level burst traffic event is detected, the token bucket rate and capacity are automatically adjusted to achieve traffic limiting adaptation and cooperative stabilization. According to the invention, system load balance and rate convergence can be maintained under a high concurrency condition, time delay and jitter caused by flow fluctuation can be substantially reduced, and continuity of data transmission and gateway scheduling efficiency can be improved.

The invention discloses a high-density NAND storage medium self-adaptive repairing method which comprises the following steps: a main control chip separates a target feature vector representing the real aging trend of a storage unit from original read data containing random physical noise; the main control chip deduces the target feature vector by using a full-integer recursive prediction model to obtain a health state prediction result of the storage unit in a future preset time period; wherein the health state prediction result comprises an optimal read reference voltage offset and an estimated bit error rate growth curve; and the main control chip adjusts the charge distribution pattern and programming voltage parameters of the data on the storage unit in the data writing stage according to the health state prediction result. By means of the mode, the problems of firmware assembly line blocking and performance jitter caused by floating point operation and huge model parameter loading can be solved under the limited hardware environment that the main control chip only supports integer operation and on-chip cache is extremely small.

The invention relates to the technical field of motor state monitoring, in particular to a motor state monitoring method and system based on data driving, and the method comprises the following steps: synchronously collecting a motor voltage signal amplitude time domain sample and a motor current signal amplitude time domain sample for a power frequency period in a motor operation state; and calculating an instantaneous phase difference between each corresponding sample point to obtain an instantaneous phase difference original data stream of the motor. The method comprises the following steps: synchronously acquiring voltage and current amplitudes during operation of a motor in real time, and calculating an instantaneous phase difference between the two amplitudes to obtain an electromagnetic state original data stream; further executing high-pass filtering and performing spectral analysis to filter interference signals and low-frequency trend influences, and improving the recognition precision and robustness of instantaneous phase difference jitter features; meanwhile, voltage pulses are actively injected into the winding, echo signals are collected, and rapid capturing and positioning of the abnormal state of the winding are achieved through propagation time delay calculation and impedance characteristic construction.

The invention discloses a high-resolution peak value positioning method based on multi-pulse superposition and offset clock cooperation, and belongs to the technical field of laser radar ranging. Aiming at the problems that a traditional laser radar depends on a high-sampling-rate ADC, so that hardware cost is high, power consumption is large, and sampling errors are likely to be caused by echo jitter, the method does not need to replace an existing ADC, and the technical breakthrough is achieved through the following core steps that firstly, the basic sampling rate X Hz and the target equivalent sampling rate improvement multiple N of the ADC are determined; laser pulses are emitted to a target object for N times, during Kth emission, ADC sampling is started by delaying (K-1) / (X * N) seconds, and N groups of echo data with time sequence offset are obtained; performing cross combination on the N groups of data, and constructing an N-time equivalent high-sampling-rate data sequence; repeating the sampling and combining process for S times, and performing alignment superposition and averaging on S groups of data to suppress echo jitter and noise; and estimating initial parameters (amplitude, mean value and standard deviation) of a Gaussian model based on the superposed data, optimizing the parameters through an LM nonlinear optimization algorithm, and finally taking the optimized mean value as a high-precision peak position of an echo signal to realize accurate measurement of the laser flight time. Under the condition of low-sampling-rate hardware, through the collaborative design of clock skew and multi-pulse superposition, the physical limitation of the sampling rate is broken through, low cost, low power consumption and high ranging precision are taken into account, and the method is adaptive to multi-scene application of automatic driving, industrial ranging and the like.

The invention provides a mechanical arm control system and control method based on an embedded virtual machine architecture. A real-time operating system and a non-real-time operating system are deployed on the same embedded board card; the non-real-time operating system transmits control words of all the drivers to a driver communication module deployed on the real-time operating system through a control queue based on the received control request, and the driver communication module transmits state data of all the drivers to the non-real-time operating system through a state queue; and the motion planning module deployed on the non-real-time operating system transmits the generated position data to the driver communication module through the position queue according to a preset control period, and issues the control word and the position data to the driver through the driver communication module. By the adoption of the method, the problems that a non-real-time operating system is interrupted, communication stability is poor due to multi-task resource preemption, control response is slow, state coverage is caused by jitter of the non-real-time operating system, and a mechanical arm is stuck due to position transmission jitter can be solved.

The invention discloses a CAN message priority dynamic arbitration method and system based on event triggering, and the method comprises the steps: obtaining a discrete sampling signal of a CAN node of an engineering vehicle and a state register value of a CAN controller, converting the discrete sampling signal into a working condition data sequence, and obtaining a bus load rate through the state register value; obtaining an event state sequence according to the working condition data sequence; all CAN messages to be sent are constructed into a message data record, and the message data record with event semantics and dynamic priority labels is obtained according to the protocol data unit and the event state sequence; and according to the bus load rate and the event state sequence, sending a message data record with event semantics and dynamic priority annotations by adopting a token bucket mechanism through a three-level priority queue linked with a three-state state machine. According to the invention, the security key message in the system can still be transmitted in time under high load, and the bandwidth occupation and delay jitter caused by the low-priority message are avoided at the same time.

The invention discloses an Internet of Vehicles channel modeling method considering antenna attitude vibration, and the method comprises the steps: building an accurate vibration model of an antenna three-dimensional attitude through precisely modeling vehicle body tiny vibration caused by bumping, steering and other factors in vehicle driving into micro-motion of an antenna attitude at three time-varying Euler angles of pitching, rolling and yawing; the time-varying attitude is introduced into a coordinate system rotation matrix, the random vibration characteristic parameterization of the antenna in a three-dimensional space is realized, and then the random vibration characteristic parameterization is coupled to the evolution of key parameters of a channel model, so that the channel rapid fluctuation and beam mismatch effect caused by the antenna attitude jitter can be more accurately reproduced; the method can effectively solve the problems that in the prior art, due to the fact that microcosmic vibration of an antenna is ignored, the fidelity of a model is low, and characterization of a key beam mismatch effect in millimeter wave communication is seriously insufficient, and can provide theoretical basis and data support for performance evaluation and beam management algorithm design of a high-dynamic and high-reliability car networking system.

The invention discloses a multi-dimensional layered current limiting method based on spatio-temporal feature fusion. The method comprises the following steps: acquiring a hardware limit speed, and generating a global quota based on a reinforcement learning model; calculating a variable coefficient, and if the variable coefficient exceeds a preset critical value, introducing a conservative coefficient and generating a weight factor through nonlinear function mapping to suppress the micro network jitter; constructing a priority factor matrix based on the service priority and the service type, and obtaining a service priority factor; correcting the average bandwidth of the node by integrating the multi-dimensional dynamic weight factor and the service priority factor to obtain a suggested speed, inputting a historical performance index into the LSTM model to predict the load of the next period, and if the historical performance index exceeds a critical value, triggering connection migration before executing current limiting to realize active avoidance; otherwise, comparing and selecting the minimum value of the global quota, the suggested speed and the hardware limit speed as the final current-limiting speed. The problems of current limiting strategy lag and wide oscillation can be solved, and the bandwidth utilization rate and the system stability are improved.

The invention discloses an external ADC synchronous sampling method and device based on microprocessor timer cascade, and relates to the field of microprocessor external ADC high-speed synchronous sampling. The method comprises the following steps: periodically generating an external ADC sampling trigger signal by configuring a first timer; triggering a second timer update event by using an external ADC data ready signal, automatically sending data to ADC peripherals through an SPI interface DMA sending channel, and automatically carrying ADC sampling data to a memory buffer area through an SPI interface DMA receiving channel; continuous and single conversion modes are supported, and the data integrity is ensured by adopting a double-buffering mechanism. And full-link hardware synchronization from sampling triggering to data storage is realized. By implementing the technical scheme provided by the invention, the technical bottleneck of realizing high-speed synchronous sampling on middle and low-end microprocessor platforms without a DMAMUX function is overcome. The MCU interruption frequency and resource occupation are obviously reduced, time sequence jitter caused by software delay is eliminated, and the sampling synchronization precision and the system real-time performance are greatly improved.

The invention discloses a subjective and objective fused air conditioner sound quality analysis and evaluation method, which comprises the following steps of: 1, forming a working condition-gear combination matrix according to an actual use scene and noise characteristics of an air conditioner; 2, arranging sensor measuring points according to a noise source scene of working condition-gear combination, and obtaining a sound sample; 3, carrying out subjective evaluation on the sound sample, and processing an abnormal score by adopting a 3 sigma principle and a box plot method to obtain a final subjective score; 4, five objective psychological acoustic indexes including loudness, roughness, sharpness, jitter degree and highlight ratio of 24 Bark frequency bands of the sound sample are calculated, and an objective index set is established; and 5, constructing an air conditioner subjective and objective fusion evaluation model of a two-stage fusion model of the time sequence convolutional network and the gradient boosting tree. According to the method, the problem of low evaluation precision of a general model caused by noise characteristic difference under different working conditions-gears is solved, an accurate air conditioner sound quality evaluation system is constructed, and support is provided for sound quality optimization design and quality evaluation of the air conditioner.

The invention belongs to the technical field of industrial automation control, and particularly relates to a control system and method of a battery shell cleaning machine, and the method comprises the steps: obtaining a sound field signal in a cleaning tank, and carrying out the preprocessing to remove direct current drift and low-frequency mechanical vibration; the permutation entropy of the sound field signals is calculated to evaluate load complexity, a penalty factor of variational mode decomposition is adaptively constructed according to the load complexity, and then a fundamental frequency mode and a high frequency mode are separated; constructing a risk index reflecting the cavitation erosion degree according to the energy ratio of the high-frequency mode and the time domain volatility of the high-frequency mode; and according to the deviation between the risk index and the safety threshold, cooperatively adjusting the frequency jitter amplitude and the power amplitude of the ultrasonic generator. According to the method, through a self-adaptive decoupling damage signal and double-variable cooperative control strategy, on the premise that high cleaning efficiency is guaranteed, destructive cavitation and resonance damage are effectively restrained, and the balance between the cleaning effect and workpiece safety is achieved.

The invention provides a communication optimization method for topological table persistent storage in efficient parallel computing, belongs to the technical field of storage communication, and aims to avoid pseudo sharing by aligning memory allocation through cache lines, expand local topological coverage through a topological entropy increment driven prefetching mechanism, and improve the reliability of the topological table persistent storage. Boundary processing is accelerated through a pre-calculation period mapping lookup table and a frequency domain transfer function vector, synchronization overhead is optimized through a concurrency control mechanism perceived by a read-write ratio, targeted cache preloading is achieved through stability and jitter degree two-dimensional evaluation, bandwidth consumption is reduced through an increment synchronization mechanism, and the stability of the cache is improved. The communication template is selected or the communication parameters are generated through adaptive conversion by matching the matching degree decision, and the technical problem that the parallel computing performance is reduced due to the fact that the communication overhead is too large in the topological table persistent storage process is solved.

The invention relates to the technical field of serial communication, in particular to a high-speed clock recovery method and device based on an adjustable delay chain, and the method comprises the steps: generating a recovery clock initial phase; a multi-stage programmable delay chain is adopted, and a phase-locked loop or delay-locked loop structure is combined, so that the initial phase of a recovered clock is finely adjusted and locked, and phase capture and clock edge alignment are performed; based on a multi-path recovery structure, a path with the minimum error is selected from the delay paths through a preset phase error detection mechanism to serve as an output channel; environment parameters of the environment are collected, parameters of the multi-stage programmable delay chain are dynamically adjusted, and high-speed clock recovery is completed. According to the method, the edge capture precision, the system jitter tolerance and the working frequency range of the recovered clock are remarkably improved, and then the phase consistency, the anti-interference capability and the overall data receiving reliability of the recovered clock in the high-speed communication system are effectively improved.

The invention discloses a power embedded RTOS-oriented clock management method and related equipment, and the method comprises the steps: collecting the current clock data of a power embedded RTOS system, carrying out the feature extraction of the current clock data, constructing a clock feature library, and constructing a clock data model in a normal clock operation state, generating normal clock data according to the clock data model; the frequency stability, the clock jitter rate and the clock drift rate of the current clock data are calculated, and whether the deviation between the current clock data and the normal clock data exceeds a clock threshold value or not is judged; and when the deviation exceeds the clock threshold value, executing a corresponding exception handling flow according to the frequency stability, the clock jitter rate and the clock drift rate, and dynamically adjusting the range of the clock threshold value. According to the embodiment of the invention, combined judgment and dynamic adjustment can be carried out by combining drift, jitter and frequency stability thresholds, and accurate monitoring and anomaly detection of the clock are realized. The method can be widely applied to the technical field of clock management.

The utility model relates to the field of radio frequency communication equipment processing, in particular to a punching device for a shielding cover of radio frequency communication equipment. The punching device for the shielding cover of the radio frequency communication equipment comprises a machine frame, a connecting frame, a hydraulic rod, an installation frame, a punching frame and a placing plate, the top of the machine frame is connected with the connecting frame, the hydraulic rod is installed in the connecting frame, the telescopic end of the hydraulic rod is connected with the installation frame, the punching frame is placed in the installation frame, and the placing plate is installed on the machine frame. When a hydraulic rod shakes in the starting process, a limiting frame and a sliding rod can be extruded, a built-in button is triggered, and after the button is activated, the system can immediately inform an operator that the hydraulic rod shakes abnormally and prompt that inspection and maintenance need to be conducted, and can also automatically start an air pump to rapidly inflate an air bag; the air bag expands and tightly wraps the hydraulic rod, instant stable support is provided, shaking is effectively reduced, and safety and stability of equipment operation are guaranteed.

The invention provides a frequency modulation method and device, electronic equipment and a medium, and relates to the technical field of computers. Comprising the steps of receiving at least one pre-frequency-modulation instruction and at least one piece of task information; executing initial frequency adjustment based on the at least one pre-frequency-modulation instruction so as to adjust the initial working frequency to the target working frequency; and in a task execution process corresponding to the at least one piece of task information, performing frequency adjustment on the target working frequency based on the load information and / or the performance information. According to the method provided by the invention, the working frequency is adjusted in advance before the task is executed based on the pre-frequency-modulation instruction, the lag error of dynamic frequency modulation is reduced through coarse-grained frequency adjustment, and performance jitter during load sudden change is avoided; and by combining a frequency modulation strategy of load and / or performance, fine-grained frequency adjustment can be further realized, and good balance between energy efficiency and stability can be obtained while effective frequency modulation is ensured.

Provided are a communication method, device and system, exemplarily, the method can be applied to a mobility management scenario of a terminal. In the method, under the condition that the first reference position is determined to meet the preset condition, the first reference position is added into the first candidate position set, and the second reference position in the first candidate position set is moved out of the first candidate position set to obtain the second candidate position set, so that the situation that the positioning information of the terminal is jittered and the positioning accuracy of the terminal is improved can be prevented. As a result, the set of the recent N reference positions is frequently changed, so that the terminal can be prevented from frequently reporting the set of the recent N reference positions.

The invention discloses a dynamic positioning precision optimization system based on a self-learning fusion model, and relates to the technical field of wireless positioning. Comprising the steps that an acquisition and synchronization module synchronously acquires AOA, RSSI and TOA signals from a plurality of anchor points and generates a synchronous multi-source signal flow; the discrimination module extracts multi-dimensional instability characteristics such as fluctuation entropy, angle jitter and delay abrupt change rate of the signal flow, and classifies the current channel environment into predefined modes such as high occlusion, non-line-of-sight error or stable line-of-sight; the mapping module calls a corresponding weight distribution strategy according to the modal identifier to generate a real-time fusion weight vector; the adaptive positioning module couples the weight vector to an unscented Kalman filter observation model, dynamically adjusts the weight of each signal source in state updating, and outputs an estimated position and a positioning confidence coefficient; the optimization module monitors the positioning confidence and iteratively optimizes the weight strategy online based on the deviation of the positioning confidence from the target value. The method effectively improves the positioning precision and robustness in a complex dynamic scene.

The invention relates to an intelligent risk monitoring and management and control method, and belongs to the technical field of intelligent risk monitoring and management and control. At present, problems such as operation jitter and safety risk are easy to occur. The method comprises the steps of performing cleaning, alignment and quality verification on operation data, equipment data and environment information under a unified time reference to form three types of read-only inputs of an equipment portrait, an environment portrait and a primary topology snapshot; performing abnormal preliminary screening based on internal and external bistable baselines, performing open set identification and rejection on samples crossing a robust band, performing modal consistency check on multi-modal evidence, outputting interval confidence, and generating a structured candidate event record; the method comprises the following steps: performing hierarchical disposal judgment by combining node topology criticality and disposal cooperative sensitivity, performing radial threshold and angle gating mapping on the node topology criticality and the disposal cooperative sensitivity in a polar coordinate domain to obtain a disposal level, and inhibiting jitter of a critical interval through asymmetric hysteresis and minimum residence time. And the accuracy of exception identification, the robustness of decision processing and the security of system operation are effectively improved.

The invention discloses a voice QoS optimizing and playing method, device and equipment for end-to-end information source encryption and a medium, and relates to the field of instant messaging, and the method comprises the steps: storing a received encrypted voice data packet into a jitter buffer area in a ciphertext form; determining a current target buffer water level of the jitter buffer based on the current network jitter degree and a delay factor introduced by the current decryption processing; generating a play control strategy and a decryption scheduling strategy according to the current actual buffer water level and the current target buffer water level of the jitter buffer; the decryption scheduling strategy comprises a decryption operation frequency, a triggering opportunity and an execution priority, and the decryption scheduling strategy is adjusted based on a real-time playing control strategy and a jitter buffer area state; and scheduling the corresponding encrypted voice data packet from the jitter buffer area by using a decryption scheduling strategy for decryption, and decoding and playing the decrypted voice data packet according to a playing control strategy. According to the invention, the overall fluency of encrypted real-time voice communication is improved.

The invention discloses an eye pattern generation method based on channel simulation, a storage medium and electronic equipment, and the method comprises the steps: carrying out the channel simulation according to a target channel parameter, a signal source parameter and an initial code pattern sequence, and generating jitter-free initial eye pattern data; obtaining a deterministic jitter parameter and a random jitter parameter, and generating a deterministic jitter time sequence based on the obtained deterministic jitter parameter and the initial code pattern sequence; generating a random jitter time sequence based on the obtained random jitter parameter; synthesizing the deterministic jitter time sequence and the random jitter time sequence to generate a total jitter time sequence offset sequence; and modulating time sequence information in the initial eye pattern data by using the total jitter time sequence offset sequence to generate a target eye pattern. Simulation of deterministic jitter and random jitter is added in the channel simulation process, and the consistency of the simulation result and the signal characteristic of a real communication scene is greatly improved.

The invention discloses a stay cable vibration recognition method and system based on unmanned aerial vehicle video and image correction. The method comprises the steps that S100, a dynamic response video of a stay cable under natural excitation is shot through an unmanned aerial vehicle; s200, performing semantic segmentation on a stay cable region in the video image to obtain a clear stay cable pixel region; s300, pixel displacement tracking is carried out on the inhaul cable target area and the peripheral fixed reference point area, and time sequence displacement data containing inhaul cable vibration response and unmanned aerial vehicle disturbance components are extracted; s400, geometric correction of the image sequence is realized, and overall jitter caused by attitude change of the unmanned aerial vehicle is eliminated; s500, extracting an intrinsic mode component; identifying a common-mode disturbance component by comparing modal features of the two, and stripping from the inhaul cable response; and S600, carrying out identification and early warning on abnormal vibration behaviors such as loosening, strand breaking and vibration excitation abnormity. And high-precision and automatic monitoring of the vibration state of the stay cable is realized through a technical closed loop from video acquisition to abnormal early warning.

A wireless communication method and related devices are provided. The method, performed by a user equipment (UE), including being configured with one or more Discontinuous Reception (DRX) configurations, each DRX configuration comprising one or more drx-on durations matching one or more services. With this method, jitters of (XR) packets can be covered by drx-on durations, facilitating XR traffic service.

The invention relates to the technical field of risk management and control, in particular to a distributed security risk management and control platform fusing situation awareness and an intelligent contract, and the platform comprises an acquisition module, a situation awareness module, a prediction module, an identification module, and an intelligent contract execution module. Multi-dimensional dynamic parameters related to a port cold chain are comprehensively collected and calculated, temperature difference fluctuation is used for reflecting environment stability, frequency jitter is used for reflecting equipment operation states, queue density and emergency brake behaviors are used for reflecting operation intensity and operation risks, trend judgment is carried out based on different situation index occurrence frequencies in a prediction module, and a prediction result is obtained. And in combination with the time continuity and the space aggregation of the abnormal nodes, the transportation speed is finally automatically adjusted through the intelligent contract, so that the problems of risk early warning lagging and difficulty in effective implementation of field control caused by response delay and insufficient prediction timeliness due to dependence on centralized processing are effectively solved.

The invention discloses a multichannel ultrasonic transducer phased array driving method based on direct memory access. The method comprises a waveform data buffer length determination step, a data path construction step, a phase parameter calculation step, a waveform data synthesis step and a DMA driving step. An independent DMA channel is configured for each GPIO port or each group of GPIO ports corresponding to the transducer array by utilizing the DMA characteristic of a universal microcontroller, and buffer data is transmitted to the output data registers of the GPIO ports automatically and periodically by DMA hardware, so that multi-channel driving signals with accurate frequency and controllable phases are generated in parallel under the condition that CPU (Central Processing Unit) intervention is not needed. According to the invention, high-precision time sequence control comparable with an FPGA (Field Programmable Gate Array) scheme is realized with extremely low hardware cost and CPU (Central Processing Unit) resource occupation, the problem of time sequence jitter of an existing MCU (Microprogrammed Control Unit) scheme is solved, and the method has high stability, high efficiency and excellent expandability.

The invention discloses an AI-based motion subject tracking and streaming media optimization live broadcast system, and particularly relates to the technical field of motion subject tracking and streaming media optimization, AI-driven motion subject detection and tracking and streaming media coding adaptive control are closely fused, and code rate fluctuation of a coding end and bandwidth change of a network end are sensed in real time, so that the accuracy of the motion subject tracking and streaming media optimization live broadcast system is improved. A continuous and explainable live broadcast jitter risk analysis index is constructed, potential image quality jitter and delay risks are identified in advance through fusion of causal rule scoring and time sequence prediction, and the live broadcast jitter risk analysis index is directly mapped into an adaptive coding and transmission adjustment instruction. Priority guarantee, code rate distribution smoothing and delay control optimization of a key area are realized, the definition and playing smoothness of a live broadcast picture are remarkably improved, and sudden jitter and jamming phenomena are reduced.

The invention relates to the technical field of power distribution terminals, and discloses a power distribution terminal automatic joint debugging function integrity and reliability test system, which comprises a co-simulation module for performing closed-loop coupling on a virtual power grid and a tested terminal through deterministic time control and generating a reproducible working condition; the scene arrangement module is used for realizing automatic switching and rollback of cross-domain scenes based on transactional snapshots; and the communication module is used for executing a consistency test on multiple protocols and injecting delay jitter, packet loss and clock drift. The functional integrity and reliability test system for the automatic joint debugging of the power distribution terminal aims to solve the problems of lack of deterministic time control of cross-domain cooperation and insufficient guarantee of state consistency in a digital twin test method. The problems that a test result cannot be reproduced, crosstalk misjudgment is caused by state non-atomicity consistency during multi-scene switching, and faults are difficult to reproduce due to lack of time determinacy replay capability are solved.