496 results about "Clock synchronization" patented technology

The invention provides a method for automatically calibrating collected data of high-precision measurement and control deformation monitoring equipment, and belongs to the technical field of wind tunnel inner profile measurement. Multi-equipment clock synchronization is realized by establishing a unified time reference system, and measurement data of different frequencies are processed by adopting a CPU-GPU heterogeneous parallel processing architecture, so that the measurement accuracy is improved. The method comprises the following steps: performing three-level alignment on time, space and precision dimensions by using a multi-level clustering algorithm, eliminating clock differences among equipment by using a clock drift correction equation set, establishing a space coordinate system conversion matrix to unify a global coordinate system, and performing adaptive data fusion according to a precision weight by using a Kalman filtering fusion algorithm. And a data quality evaluation system is established to ensure the accuracy of a calibration result, a high-precision calibration data set is finally output, and the technical problem that the measurement precision is reduced due to space-time inconsistency of heterogeneous data of multiple devices is solved.

The invention discloses a pump set vibration monitoring method and system based on distributed sensing. The method comprises the steps that vibration collection signals and real-time working condition parameters of distributed sensing nodes are obtained, multi-node clock synchronization correction is executed, and synchronous vibration data frames are formed; time-frequency feature extraction is carried out on the multi-channel vibration data set, abnormal channels are identified through inter-channel consistency analysis, a local fault correlation frequency band is extracted, and a vibration feature vector is constructed; associating the vibration feature vector with a real-time working condition parameter to form a working condition-feature mapping table, identifying a feature mutation rotating speed point for the feature baseline, adaptively dividing a rotating speed interval to generate an adaptive working condition threshold value, and implementing out-of-limit detection to generate an abnormal trigger identifier; determining a traceability analysis window based on the abnormal trigger identifier, and executing multi-measuring-point coherence calculation and energy attenuation gradient analysis to construct an energy transfer link diagram; and finally, vibration source position positioning is performed to form fault source probability distribution, a fault mode label is matched, pump set vibration monitoring is completed, and quantitative positioning of a fault source is realized.

The invention relates to the field of physiological parameter detection and medical diagnosis measurement, in particular to a multi-mode psychological state quantitative evaluation method and device and a medium thereof. The method comprises the following steps: acquiring multi-source physiological and behavior signals and situation metadata, performing clock synchronization and equipment identifier mapping processing, performing quality feature extraction, artifact detection and slice completion processing, and generating a quality passing fragment set; de-noising normalization, time windowing and feature stack construction, modal gating and attention weighting processing are executed, and unified time sequence embedding is generated; through domain alignment parameter estimation, double-domain drift correction and multi-task inference, a psychological state quantitative index and uncertainty thereof are output; and finally, generating a structured evaluation report and updating parameters through consistency comparison, online self-distillation updating and individual baseline refreshing. According to the method, the anti-interference performance, the individual suitability and the result credibility of psychological state assessment in a natural scene are effectively improved.

The invention discloses a power frequency phase adaptive acquisition device, and relates to the technical field of electric power signal measurement, the device acquires electric field data at a gap through an electric field sensor integrated on an edge shell, calculates electric field intensity fluctuation, and generates interference diagnosis information in combination with a preset interference determination threshold value; when the interference diagnosis information shows that effective interference exists, the electric field intensity variable quantity is calculated, a mapping model is established based on a proportionality coefficient obtained through an experiment so as to obtain zero crossing point offset, and the sampling trigger moment of a zero crossing point detection module is corrected; the clock synchronization module calculates a phase difference by taking the corrected trigger moment as a reference, dynamically adjusts a calibration frequency by combining a phase difference threshold value, and outputs a synchronized system clock signal; and the control system takes the synchronized system clock signal as a trigger signal, collects power frequency phase data according to a power frequency period, and stores the power frequency phase data to a database through a transmission unit, thereby realizing high-precision power frequency phase collection.

The invention provides an intelligent control method and system for discrete event simulation of an aluminum template production line, and relates to the technical field of data processing.The method comprises the steps that a material transfer path instruction and a cutting process key point coordinate sequence are analyzed from a dynamic anti-interference scheduling strategy, the key point coordinate sequence is input into a curve driving algorithm, and a curve driving algorithm is obtained; a parameterized continuous cutting path curve is generated according to the aluminum template contour precision requirement and the cutting head dynamics constraint; the method comprises the following steps: performing equal-bow-height error discretization processing on a continuous cutting path curve to generate a discrete pose point set with a timestamp, superposing AGV dynamic constraints to generate a speed look-ahead control instruction set, splitting the instruction set into independent control units according to process sections, packaging the independent control units into a time trigger message through an industrial bus protocol, and sending the time trigger message to a server; and the simulation clock synchronization signal is injected into a physical execution unit. According to the invention, intelligent and accurate control of the aluminum template production process is realized, and the production efficiency is effectively improved.

The invention provides a fault positioning method and system for an overhead line of a power distribution network, and a storage medium. The method comprises the steps of obtaining a plurality of fault traveling wave magnetic field signals; performing the following steps on any signal: performing phase-mode transformation on the signal, extracting and decomposing a line mode component, determining a modulus maximum point, and determining the time corresponding to the point as a first fault traveling wave head arrival moment; carrying out clock synchronization on the moment, and obtaining a wave head arrival moment of a second fault traveling wave; obtaining a to-be-detected fault point and a line parameter; based on the wave head arrival moments of the plurality of second fault traveling waves, extracting a head end arrival moment and a tail end arrival moment; and performing fault positioning on the overhead line of the power distribution network based on the head end arrival time, the tail end arrival time and the fault line parameters. According to the fault positioning method for the overhead line of the power distribution network, interference to normal operation of the power distribution network can be avoided, and high-precision non-intrusive positioning of the overhead line of the power distribution network is realized through the tunneling magnetoresistive sensor.

The invention relates to the technical field of intelligent control, and discloses an intelligent control method for an etching process of a PCB (Printed Circuit Board), which comprises the following steps of: acquiring an image of an object to be processed, generating a discretized virtual load sequence, establishing a virtual shift register synchronized with a feedback pulse trigger clock of a transmission device encoder, driving the virtual load sequence to execute logic displacement of physical displacement phase locking; comparing the theoretical torque with the actual torque to obtain a torque residual error; a dynamic gain correction coefficient is calculated based on the torque residual error, the basic feed-forward gain is weighted and modulated in real time, and a control instruction is generated, and a time sequence error caused by transmission speed fluctuation is avoided by constructing a rigid space-time synchronization architecture based on a virtual shift register; a torque residual error is used as a non-intrusive observation variable, and a gain scheduling mechanism is combined, so that self-adaptive compensation for impedance drift of a controlled medium under the condition of no physical sensor is realized.

The invention discloses a fan transmission chain vibration intelligent diagnosis method based on a power sub-box, and relates to the technical field of mechanical equipment state monitoring and fault diagnosis, and the method comprises the steps: S1, obtaining a multi-channel vibration signal, collecting an original data flow from the front and rear end positions of a main shaft at the input end and the output end of a gearbox through a sensor, the method comprises the following steps: carrying out power binning on original data according to a power change range during operation of a fan, respectively storing the data in different power intervals, establishing an independent time synchronization reference, and calibrating sampling clock skew of each channel by adopting a clock synchronization algorithm to obtain a preliminary synchronization signal sequence under a unified time reference; according to the intelligent diagnosis method for the vibration of the fan transmission chain based on the power sub-boxes, the fault diagnosis accuracy, the real-time performance and the interpretability of the fan gearbox under the variable power operation condition are remarkably improved, and reliable technical support is provided for health management and intelligent operation and maintenance of wind power equipment.

The invention discloses a distributed RID receiving system based on edge multi-source fusion, which relates to the technical field of low-altitude supervision, and is characterized in that a distributed RID receiving node cluster adopts a fixed node and maneuvering node collaborative grid deployment scheme to capture and preliminarily analyze low-altitude aircraft RID signals in real time, and node data is output after the low-altitude aircraft RID signals are processed by a primary fusion algorithm; the edge multi-source fusion processing unit is deployed in each management and control partition, converges node data in the area, completes calibration, de-duplication and noise reduction through a secondary fusion algorithm, and outputs structured RID data; the cloud management and control platform realizes global data overall planning, situation visualization, intelligent decision making and instruction issuing through a three-level fusion algorithm, and is linked with the urban low-altitude scheduling system to form closed-loop management and control; the clock synchronization module provides nanosecond time reference for the whole system. According to the method, the problems of incomplete coverage and insufficient data processing precision of a traditional RID receiving scheme are solved, and global sensing, accurate data processing and closed-loop management and control of the low-altitude aircraft are realized.

The invention discloses a full-localization ultra-high-speed multi-channel ADC (Analog to Digital Converter) acquisition and processing platform, and relates to the technical field of signal processing. The platform comprises a high-stability clock distribution calibration module, a synchronous acquisition and pulse injection module, a pulse detection and integer deviation module, a coarse-grained translation alignment module, a sub-sampling phase extraction module, a fractional delay interpolation alignment module, a hierarchical storage and flow control module and a high-speed interface synchronous output module. Multi-channel sampling clock synchronization is realized through FPGA dynamic phase adjustment; performing coarse-grained translation by injecting calibration pulses to detect integer deviation, extracting a sub-sampling phase difference, and adopting fractional delay filtering to realize sub-sampling precision alignment; hierarchical storage and intelligent flow control are carried out according to priorities, and synchronous data flow is output through a domestic high-speed interface; through a full-flow domestic chip and a synchronous correction technology, sub-sampling precision alignment and hierarchical flow control output of a multi-channel ADC at an ultrahigh sampling rate are realized.

The invention discloses an intelligent substation virtual loop online transmission verification method based on GOOSE / SV closed loop test, and relates to the technical field of intelligent substation operation and maintenance. Through precise clock synchronization and an improved cross-correlation algorithm, in combination with wavelet noise reduction and spectral clustering analysis, nanosecond synchronization quality evaluation of GOOSE / SV signals is realized, and the hidden transmission risk discovery time is shortened from regular maintenance to real-time monitoring; a hierarchical hidden Markov model is adopted to analyze equipment-level to system-level behavior modes, real-time probabilistic reasoning is realized in combination with a dynamic Bayesian network and particle filtering, a multi-dimensional evaluation system is constructed, the reliability evaluation capability under complex working conditions is remarkably improved, an optimization scheme is generated based on network path characteristic analysis and bottleneck identification, and the reliability of the system is improved. Multi-scene closed-loop verification is carried out by means of a digital twin technology, safety and reliability of parameter optimization are ensured, and full-process intelligent operation and maintenance of the virtual circuit of the intelligent substation from state perception to optimization verification are realized.

The invention provides a target positioning method and system based on a distributed networking radar system, and belongs to the technical field of radars, and the method comprises the steps: controlling a plurality of radar nodes to transmit stepping linear frequency modulation continuous wave pulse signals, and collecting target echoes; carrying out band-pass filtering, pulse compression and fast time synchronization processing on the echoes, and generating interference-free data through a moving target extraction algorithm; realizing cross-node clock synchronization based on a moving target behavior cognition model and a template matching algorithm; constructing a multi-node distance estimation equation set, generating an accurate distance value through calibration broadband synthesis and FFT, and determining a target three-dimensional coordinate; and generating a motion track and speed prediction through Kalman filtering based on the target position sequence. The system comprises a signal emission and acquisition module, a signal processing module, a clock synchronization module, a distance estimation and coordinate fusion module and a trajectory prediction module. The method supports multi-target tracking, improves positioning precision and time synchronization precision, has few errors, and is compatible with any node deployment form.

The invention provides a multi-mode fusion laser directional energy deposition real-time monitoring method and system, and belongs to the technical field of additive manufacturing. Comprising the steps that real-time data collection is conducted on a molten pool area in the laser directional energy deposition process through synchronous triggering of a multi-source sensor; a distributed clock network is constructed, environment influence parameters are collected in real time in combination with a working condition sensing unit, dynamic modeling and correction are conducted on asymmetric link delay in the clock synchronization process, and space-time alignment of multi-source sensor data is achieved; after the multi-source sensor data subjected to space-time alignment is preprocessed, data-level fusion, feature-level fusion and decision-level fusion are performed in sequence. The state of the molten pool can be accurately monitored in real time, and the quality and stability of the laser directional energy deposition process are improved.

A time sequence post-synchronization quantum key extraction penetration test method comprises the following steps: A) under the condition of penetration test, a QKD system operates normally, and a sending end and a receiving end smoothly complete key distribution; b) the man-in-the-middle selects an initial original key exchange period to establish synchronization and correlation so as to realize clock synchronization with a receiver; c) analyzing quantum bit error rate information obtained from a public channel by a man-in-the-middle, deducing a corresponding relation between a receiver detector and each quantum state, and establishing a mapping model of the quantum states and bit values; d) determining a quantum state type responded by the receiver in each response time slot in a subsequent original key exchange period by the middleman in combination with path information obtained by other sub penetration tests; and E) the intermediary obtains a final key which is the same as the two communication parties by implementing an error correction and privacy amplification process, the quantum bit error rate between the intermediary and the sender is maintained at a relatively low level and is lower than a security threshold, and a security alarm is not triggered in a penetration test process.

The invention relates to the technical field of industrial automation control, and discloses a distributed collaborative and intelligent master control system for a candy production line, which comprises a master control unit and a plurality of resource nodes which are connected with each other through an industrial field bus supporting a precise clock synchronization protocol, the general control unit generates and broadcasts a virtual main shaft position signal to define a system time sequence progress; each resource node corresponds to a physical execution unit with different physical response hysteresis characteristics, an electronic cam curve table for defining a mapping relation between a control set value and a virtual spindle position signal is stored, the resource nodes are configured with phase lead compensation logic, and a phase offset is superposed before the curve table is inquired, so that the phase lead compensation is realized. According to the method, phase pre-compensation is introduced in a logic instruction level, so that the problem of cooperative mismatch caused by response inertia difference of heterogeneous physical execution units is solved, and accurate alignment and seamless flexible remodeling of multi-section actions in a time domain are realized.

The invention belongs to the technical field of clock synchronization, and particularly relates to a high-precision clock synchronization method in an aviation cluster high-speed relative motion scene, which comprises the following steps of: S1, acquiring round-trip time RTT data based on signal transmission among nodes in an aviation cluster, and acquiring a relative radial speed v by combining an inertial navigation module; calculating by using a motion correction formula to obtain a preliminary clock skew epsilon after motion correction; in order to solve the problems of asymmetric high-speed motion path time delay, URT interference, random and nonlinear error coexistence and the like, through a four-stage cooperative scheme of RTT motion correction, URT modeling compensation, Kalman filtering smoothing and BP neural network residual optimization, the clock synchronization precision is improved to 0.1-0.3 ns, the method has strong anti-interference robustness and engineering realizability, and the method is suitable for large-scale popularization and application. The method can be widely applied to aerospace, unmanned aerial vehicle formation, satellite communication and other fields requiring high-precision clock synchronization, and effectively solves the problems of insufficient precision and poor adaptability of a traditional method in a high-speed scene.

The invention relates to an offshore wind plant collaborative operation and maintenance method based on atmospheric marine environment dynamic simulation, and is suitable for the field of new energy. The method comprises the following steps: S1, performing clock synchronization, coordinate conversion, exception elimination, missing value repair and dimension standardization processing on acquired multi-source heterogeneous data to generate a standardized data set with a unified format; s2, constructing an atmospheric marine environment field dynamic model and an equipment state evolution model, performing coupling training on the two types of models through a multi-scale space-time fusion algorithm, generating an environment change trend prediction result and an equipment operation state prediction result, and dynamically correcting model parameters according to prediction errors; and S3, carrying out quantitative grading on equipment fault early warning and environmental risks, carrying out matching scheduling in combination with a real-time operation and maintenance resource state, generating a collaborative operation and maintenance plan through a space-time optimization algorithm, executing the collaborative operation and maintenance plan and feeding back an execution state in real time, and realizing iterative optimization of the operation and maintenance plan.

The invention provides a communication delay detection and control method for ship remote control, and the method comprises the steps: embedding a high-precision timestamp in a control instruction and a data packet through a shipborne 4G / 5G dual-mode communication module and a shore-based monitoring center, and transmitting the high-precision timestamp; two-way transmission delay of the ship-shore communication link is measured based on the embedded timestamp, and the packet loss rate in a preset time window is counted; on the basis of historical delay data, a dynamic moving average method is combined with an adaptive Kalman filtering algorithm to predict a delay change trend in a future short period; judging the current communication state according to the bidirectional transmission delay, the packet loss rate and the predicted delay change trend; a sending strategy of the control instruction is adaptively adjusted according to the judgment result, or the ship-borne local intelligent controller is switched to execute autonomous risk avoiding control; an improved clock synchronization protocol is adopted regularly to calibrate a ship-shore clock, and timestamp synchronization precision is ensured. Through the synergistic effect of ship-shore clock synchronization optimization, instruction verification sequencing and other modules.

The invention discloses a self-adaptive control system for Qbv and clock synchronization cooperative adjustment in a TSN, which comprises a dynamic gating adjustment module and a stability guarantee mechanism module, and realizes closed-loop cooperative control of Qbv gating scheduling and gPTP clock synchronization in the TSN by constructing a dynamic gating adjustment system and a stability guarantee mechanism. According to the method, the problem of gating trigger time offset caused by Qbv static scheduling and gPTP clock synchronous decoupling in the TSN is solved, the scheduling window is corrected in real time through dynamic feedback clock errors, and the influence of mu s level deviation on deterministic transmission is eliminated.

The invention discloses a dynamic error correction system and method for an OTP (One Time Programmable) memory, a computer and a storage medium, and the system comprises a cross-clock synchronization module which is used for synchronizing asynchronous data of an OTP interface to a system clock domain and generating a control signal according to a data format; the double-buffer-area module is used for alternately writing data and reading a control signal by utilizing two independent buffer areas, and correcting and outputting the written data; the CRC decoder module is used for carrying out error detection on the synchronous data; the error position searching module is used for positioning an error position candidate item of each channel; the error position matching module is used for finding out a uniquely matched error position; and the read control module is used for judging whether data reading needs to be paused or not and starting error correction operation, and sending a control signal to the double-buffer module. According to the invention, a modular architecture design is taken as a core, and a complete processing flow from data receiving, error detection, error positioning to error correction output is constructed.

The invention provides a multi-terminal clock synchronization method, system and device and a medium, and relates to the technical field of wireless communication, and the method comprises the following steps: a master device sends a synchronization request packet to an ith slave device at a first sending moment; the ith slave device receives the synchronization request packet at the first receiving moment and sends a synchronization response packet to the master device at the second sending moment; the master device receives a synchronization response packet at a second receiving moment, and determines a first receiving moment and a second sending moment according to the synchronization response packet; determining a transmission delay parameter and a clock offset parameter according to the first sending moment, the second sending moment, the first receiving moment and the second receiving moment, and sending the transmission delay parameter and the clock offset parameter to the ith slave device; and the ith slave device adjusts a local timer according to the transmission delay parameter and the clock offset parameter, so that clock synchronization between the ith slave device and the master device is realized. According to the invention, high-precision clock synchronization between multiple slave devices and the master device is realized.

The invention belongs to the technical field of industrial measurement and control, and discloses a multi-case cascade vibration noise data acquisition clock synchronization method. A clock drift prediction model based on deep learning is constructed by acquiring local clock signals and environment parameters of all cases in real time, and accurate prediction of clock behaviors is achieved. A multi-mode communication strategy combining optical fibers and wireless radio frequency is innovatively adopted, reliable transmission mechanisms which are redundant to each other are formed, and the anti-interference capability is remarkably enhanced. A dynamic compensation mechanism based on the fuzzy logic controller can intelligently adjust compensation parameters according to clock states and environment changes, and accurate correction is achieved. A multi-level verification mechanism including local self-inspection, mutual inspection between cases and global optimization is established, a graph neural network technology is introduced to carry out system-level optimization, and the system has self-learning and self-optimization capabilities. According to the method, the time consistency of the vibration noise data is remarkably improved.

The invention discloses a server clock synchronization system and method based on a BMC. The system comprises a real-time clock chip, a channel switching chip, a baseboard management controller and a server host. The real-time clock chip receives and stores BMC system time written by the baseboard management controller, maintains travel time based on the time and generates an interrupt signal through the interrupt output pin. And the channel switching chip switches an access channel to the real-time clock chip between the server host and the substrate management controller according to the level signal of the control pin. And the baseboard management controller obtains the access right by outputting the level signal, writes the BMC system time and sets the alarm clock time. And the server host responds to the interrupt signal, reads the hardware time data from the real-time clock chip and updates the system time. According to the invention, after the BMC modifies the time, the time synchronization can be completed without restarting the server host, the service interruption is effectively avoided, and the availability of a server system and the real-time performance of time management are improved.

The invention discloses a current transformer based on decoupling compensation and an adjusting method thereof, and relates to the technical field of current measurement. The method comprises the following steps: establishing an error coupling matrix by data acquired by a current transformer; a decoupling compensation hardware module is designed, and decoupling compensation is carried out on the exciting current, the secondary load and the transient component; establishing a working condition parameter set, and constructing a training sample library by taking the working condition parameters as input and the compensation coefficients as output based on a BP neural network; through a clock synchronization module, it is ensured that output signals of the three compensation units and current signals of the secondary side of the mutual inductor are the same in frequency and phase; different working conditions are simulated through the standard current source, and the adjusted precision is recorded. According to the invention, through multi-dimensional error decoupling and combination of the BP neural network and the PID, hardware shunting and algorithm optimization are utilized to realize separated compensation of three errors, the method is adaptive to complex working conditions, and the adjustment precision of the compensation circuit is improved.

The present invention relates to the field of time synchronization, and relates to a precise clock synchronization parameter tracking method based on an augmented Kalman neural network. In the method, for a multi-hop network scenario where an ambient temperature changes and a link transmission delay is asymmetric, taking into account the impact of an accumulated asymmetric link transmission delay in a multi-hop network on clock synchronization accuracy, a multi-hop network clock observation equation containing an accumulated asymmetric link delay is derived, and on the basis of a quadratic polynomial model of a temperature and a clock frequency offset, a recursive state equation of the clock frequency offset and a temperature change is established; the evolution processes of an accumulated asymmetric delay and an unknown temperature coefficient are modeled as a first-order linear difference equation, and the accumulated asymmetric delay and the unknown temperature coefficient are augmented to a clock parameter tracking state space model; and an augmented Kalman neural network algorithm is used to realize joint tracking of a clock phase offset and a clock frequency offset of a slave node. This method employs a hybrid data-model-driven approach to perform joint tracking of the clock phase offset and frequency offset, thereby improving accuracy and robustness of clock parameter tracking.

The invention discloses an overhead line fault rapid positioning method and system, and belongs to the field of power system overhead line fault detection. According to the method, traveling wave acquisition assemblies are arranged at the head end and the tail end of an overhead line, and dual-mode redundant clock synchronization is used for guaranteeing time consistency of the two ends; obtaining a multi-feature fault signal, and carrying out preprocessing and weighted fusion to calculate the final time difference of the two ends of the fault traveling wave; correcting the wave velocity by combining the inherent electrical parameters of the line with the real-time environment and state parameters to obtain a dynamic propagation velocity; modeling is carried out according to the time difference, the dynamic wave velocity and the total length of the line, the distance from the head end to the fault point is solved, and a result is verified through signal attenuation characteristics. The method improves the positioning precision and reliability, avoids wrong positioning, shortens the troubleshooting period, and guarantees the stable power supply of a power system.

A computer-implemented method in a hardware-secured mission-critical system governs text outputs produced by a transformer-based language model. A first transformer-based model generates candidate text and machine-identified propositions. A timing subsystem synchronized to PTP, GPS, or IMU clocks timestamps propositions and retrieved reports, logs, and sensor products, and admits only evidence within a configured skew window. Each proposition is segmented into semantic units under a constrained domain grammar that distinguishes subjects, predicates, modifiers, and domain-specific clauses. A second, architecturally isolated transformer-based model receives adversarial prompts built from propositions and summaries of admitted evidence and outputs structured challenge records with challenge types and severities. From evidence associations and challenge records the system constructs a semantic support mask and generates a conservative rewrite that preserves, in order, only tokens mapped to units that satisfy governance thresholds, introduces no new tokens, and passes a grammar-based integrity check before release as governed text output.

The invention discloses a Beidou multi-base-station cooperative positioning and error compensation method in a complex construction environment, and relates to the technical field of satellite positioning, and the specific method comprises the steps: 1, determining a construction region, collecting three types of core parameters, i.e., an observation signal-to-noise ratio, a signal shielding rate and clock synchronization deviation, and constructing a three-dimensional cooperative reliability parameter; 2, scene static and dynamic characteristic parameters are collected, an interference and signal-to-noise ratio attenuation correlation model is constructed based on historical data, a coupling strength coefficient and an influence index are calibrated, a coupling correction term is calculated, a superposition deterioration effect between the parameters is quantized, and a health degree index is set by integrating three-dimensional cooperative reliability parameters; and step 3, dividing the base station data into a core resolving pool and an auxiliary resolving pool by taking a health degree threshold as a standard, judging dominant factors of health degree index decline through partial derivative analysis, and setting a targeted compensation method according to different dominant factors. According to the method, the resource utilization rate of the base station is improved based on dynamic weight distribution of the health degree and the environment adaptation factor.

The invention relates to the field of medical monitoring, and discloses a multi-modal monitoring method, system and device based on hardware collaboration and a storage medium, and the method comprises the steps: quickly starting core monitoring after power-on, and supporting hot plug and plug-and-play access of medical equipment; multi-source access is carried out, a unified time axis is constructed through clock synchronization and resampling, and disconnection merging is supported; motion features are extracted to drive adaptive anti-interference, and abnormal authenticity is identified; based on redundancy observation and space-time alignment, weighting fusion parameters through consistency analysis, and intelligently judging and shielding low-quality channels; capturing an event trigger point, packaging a holographic structured event packet and establishing a bidirectional index; and constructing a full-time-sequence evolution view, executing association attribution and trend early warning, and feeding back an optimization algorithm through playback and redisk. According to the invention, the problems of low data quality, unexplainable alarm and traceability deficiency in an extreme dynamic environment are solved, and the requirements of pre-hospital first aid high-quality monitoring and rapid decision making are met.

The invention discloses a galvanometer synchronous control and splicing error correction method and system in laser processing, and relates to the technical field of laser processing control. Comprising the steps of system initialization and parameter configuration, machining path planning and region division, multi-galvanometer synchronous triggering and motion control, synchronous state monitoring and exception handling, splicing error correction and overall laser machining process execution in sequence. The system correspondingly comprises a parameter configuration and self-inspection module, a path planning and region division module, a synchronous control and motion driving module, a splicing error correction module and a processing execution and data management module, and a subunit is arranged below the synchronous control and splicing error correction module to realize the functions of clock synchronization, closed-loop feedback, offline calibration, dynamic compensation and the like. The method has the advantages that the synchronization precision is high, the error correction is comprehensive, the defects of the splicing area can be effectively avoided, and the large-format laser processing quality and stability are improved.