29 results about "Resonance analysis" patented technology

The invention discloses a server energy-saving system and method based on a lag compensation type dynamic thermal impedance model, and relates to the field of server energy saving.By collecting operation data of a server hardware bottom layer in real time, a multi-dimensional thermal-computing force coupling time sequence atlas is constructed, and based on the multi-dimensional thermal-computing force coupling time sequence atlas, a dynamic thermal impedance model is established. Calculating a heat conduction time constant of hardware in a current environment; establishing a lag compensation type dynamic thermal impedance model based on the heat conduction time constant; constructing a thermodynamic phase space according to operation data; analyzing a noise reduction evolution trajectory in combination with the lag compensation type dynamic thermal impedance model; the method comprises the steps of generating a weighted thermal resonance state vector, activating an adaptive gain MPC predictive damping scheduling strategy based on the weighted thermal resonance state vector, constructing and solving a dynamic weighted multi-objective optimization function, generating an optimal damping scheduling instruction, and thoroughly solving the fan asthma phenomenon that the fan PWM duty ratio fluctuates substantially in a sine mode under the constant computing power load.

The invention discloses an intelligent evaluation system and intervention method for mental health of teenagers, and the method comprises the following steps: collecting multi-mode psychological signal data of the teenagers, and carrying out the preprocessing; establishing a cognitive energy field, and generating a cognitive energy time sequence curve; performing spectrum resonance analysis, and combining the spectrum resonance analysis with a cognitive energy time sequence curve; constructing a psychological topological graph, and calculating a topological complexity index; when the topology complexity index is continuously abnormal or the cognitive energy disturbance amplitude exceeds a set threshold value, a psychological risk early warning result is generated; after the psychological unstable state is detected, a cognitive energy feedback parameter set is generated, and cognitive energy balance intervention is executed; and after the intervention is finished, calculating an energy balance improvement rate, and when the energy balance improvement rate exceeds an energy balance threshold, judging that the intervention is finished. According to the method, multi-mode psychological signals and cognitive energy field modeling are fused, intelligent evaluation and dynamic intervention of the psychological state of the teenagers are achieved, and the method has the advantages of being high in accuracy, high in interpretability and closed in intervention loop.

The invention provides a road dangerous chemical transportation system risk coupling assessment method based on FRAM-ISM-NK, and belongs to the technical field of road transportation safety. Comprising the following steps: identifying functional composition of a dangerous chemical transportation system based on a functional resonance analysis method (FRAM), determining risk functional elements of three core stages of transportation preparation, accident occurrence and emergency rescue, and analyzing variability; constructing a hierarchical structure relationship of risk function elements of each stage based on an interpretation structure model (ISM), and determining an action hierarchical relationship and weight between the elements; quantifying a coupling relationship between risk function elements in different stages by combining an NK model, and revealing a risk coupling mechanism; and based on the analysis result, establishing a risk transfer quantitative model, and identifying key risk function elements and risk control paths in each stage. The system depicts the multi-stage risk factor coupling relation of road hazardous chemical substance transportation, quantitatively identifies the risk transmission path and the key control link, and provides effective technical support for improving the safety of the transportation system.

The invention relates to an intelligent auxiliary monitoring system and method for a transformer substation, and relates to the technical field of power system monitoring, and the system comprises the steps: collecting multi-source heterogeneous data, constructing an equipment dynamic probability state superposition vector, analyzing quantitative data association through cognitive resonance to update the vector and calculate risk entropy, introducing a focusing control module, and carrying out the focusing control. The calculation intensity of the analysis module is dynamically adjusted according to the risk entropy, and efficient utilization of resources is realized while the monitoring sensitivity is ensured; and meanwhile, the system constructs a state evolution path, and performs dynamic time warping matching on the state evolution path and a preset restricted zone topology library to realize prospective evaluation of the risk evolution trend. And finally, an early warning module determines whether to trigger early warning based on a dual-mode criterion formed by a risk entropy absolute value and a path matching result, and generates a structured diagnosis report containing a potential fault mode and traceability evidence. According to the invention, early-stage, efficient and prospective intelligent early warning of latent faults can be realized, and the operation and inspection efficiency is remarkably improved.

The invention discloses a safety helmet intelligent control method and system based on electroencephalogram characteristics, and the method comprises the steps: decomposing a real-time electroencephalogram signal frequency spectrum to generate cognitive load frequency domain characteristics, and building an electroencephalogram control space; an electroencephalogram control space is scanned to identify a frequency band coupling unbalance point, a cooperative intervention opportunity is reversely derived, and a multi-channel adjustment mode is formed; mapping the stimulation frequency range to generate a frequency matching domain, and performing resonance analysis to determine a resonance intervention window; monitoring a frequency band in a resonance window to obtain an energy migration track, constructing a risk propagation chain to identify a cascade failure node and forming a key blocking anchor point; analyzing risk acceleration of the key blocking anchor points to form a state deterioration rate, fusing frequency domain features to generate dynamic delay tolerance, and generating variable speed control parameters in a fast-slow grading manner; the variable speed control parameter is compared with a threshold value to generate a control deviation signal, reverse phase modulation is carried out to generate a hedging stimulation waveform, a phase compensation execution instruction is formed, and accurate monitoring and safe intervention of the cognitive state are achieved.

The invention discloses an acoustic emission real-time diagnosis method and an acoustic emission real-time diagnosis system for corrugated board degumming defects, and relates to the technical field of packaging material quality detection. Each group is provided with a class-A sensor located on the interface of the surface paper and the core paper, a class-B sensor located in the core paper and a class-C sensor located on the interface of the core paper and the bottom paper, the class-B sensor is in communication connection with the class-A sensor, the class-C sensor and the diagnosis main station, various sensors collect acoustic emission signals at corresponding positions and give an alarm, and the class-A sensor and the class-C sensor collect the signals and upload the signals to the class-B sensor; the B-type sensor collects internal signals of core paper and receives the A-type signals and the C-type signals, then multi-mode resonance analysis and time-frequency feature extraction are carried out, feature data are sent to the diagnosis master station, the master station dynamically models and analyzes the feature data based on a neural differential equation and judges and locates degumming defects, a signal threshold value is set in advance to assist in judgment, and the degumming defect is determined. Meanwhile, the degumming development trend can be predicted, and accurate real-time diagnosis and positioning are achieved.

The application discloses a method for evaluating performance of interlayer composite vibration isolation structure based on vibration feedback, and relates to the technical field of building structure analysis, and comprises the following steps: obtaining mechanical data of the composite vibration isolation structure, generating a first parameter through resonance analysis, and generating a second parameter through classified fault analysis; based on the first parameter, generating a sensor layout set through optimization of sensor layout, and based on the sensor layout set and the second parameter, generating a reinforcement strategy of each sensor layout node through machine learning to form a failure-resistant sensor network; obtaining real-time monitoring data of the failure-resistant sensor network, and obtaining a quantitative evaluation result of vibration isolation performance through transmission rate and boundary state analysis. The application is used to solve the problem of insufficient self-adaptation of the sensor layout strategy in the performance evaluation of the interlayer composite vibration isolation structure.

The invention relates to the technical field of civil aviation operation risk management and control, in particular to a flight full-chain operation situation risk assessment method, which comprises the steps of constructing a full-chain risk event library, determining trigger time, calculating peak time and standard deviation and amplitude of a Gaussian pulse function, and constructing a Gaussian pulse energy representation model of a full-chain risk event. Calculating a link coupling weight and a risk amplification coefficient of the full-chain functional resonance analysis-cascade model coupling network; and calculating the probability that the risk module enters an abnormal state at the next moment according to the risk amplification coefficient, selecting various parameters through Monte Carlo simulation, calculating the total risk energy according to the various parameters and the amplitude after coupling amplification, identifying the link control priority, and outputting the risk level of each operation stage. According to the method, accurate characterization of a full-chain risk event, quantitative calculation of a cross-stage coupling effect and accurate identification of a high-risk link are realized, and pertinence and effectiveness of flight full-process risk management and control are improved.

The invention discloses a distributed photovoltaic power distribution network risk assessment method based on function resonance analysis, which comprises the following steps: based on a function resonance theory, key function modules of a power distribution network are identified from four aspects of character management and loop, and each function module is completely defined through a six-element model; based on scene-level driving typical fault backtracking analysis, comprehensive risk indexes of a scene are calculated, and a'node-link-loop-scene 'system integrated risk assessment system is constructed. The method has the beneficial effects that a power distribution network risk propagation mechanism can be divided into a node-level system, a path-level system, a loop-level system and a scene-level system on the basis of the dynamic characteristics of the functional coupling relationship, and the risk of the power distribution network can be evaluated by constructing a'node-link-loop-scene 'four-level risk evaluation system; the accurate analysis of the multi-dimensional risk propagation mechanism of the high-proportion photovoltaic power distribution network is realized.

The application discloses an airborne hydrogen system safety analysis method, system, equipment and medium, and relates to the technical field of aviation safety, and comprises the following steps: a function resonance confrontation hierarchical model is established; the function resonance influence of a subcomponent is obtained by dividing the overall system through function resonance analysis method of the function feature description of the airborne hydrogen system, and a dynamic interaction network of the function module of the subcomponent is drawn; the dynamic interaction network is simplified by dimension reduction, and a reachable matrix is obtained; the obtained data is subjected to confrontation layer extraction based on the reachable matrix, and overall division of the resonance model is obtained; hierarchical importance and structural importance are obtained through topological structure data analysis, and safety analysis of the airborne hydrogen system is carried out. The application establishes the function resonance confrontation hierarchical model, and can solve a series of technical problems such as that the analysis method of the prior art airborne hydrogen system is greatly influenced by the subjectivity of researchers, and hierarchical blurring occurs in the internal hierarchical division.

This application provides a method for forced response analysis of an integral bladed disk (IBD), comprising: constructing a finite element model of an IBD sector; conducting disk-coupled resonance analysis of the finite element model to obtain the frequency, mode shape, and relative vibration stress of the IBD blades under one to multiple node diameters, and plotting disk-coupled resonance diagrams; determining the critical node diameter related to the number of rotor and stator blades; determining the frequency order and corresponding critical resonance speed by combining the plotted disk-coupled resonance diagrams and the critical node diameter; performing damping tests on the IBD blades to obtain the frequency order and corresponding modal damping ratios; establishing a full-ring model of the IBD rotor blades and the stator blades before and after them; conducting steady flow field analysis of the full-ring model to obtain steady results as the initial field conditions for unsteady flow field analysis; conducting unsteady flow field analysis to obtain the actual vibration stress of the IBD; and conducting dynamic strength reserve analysis to evaluate the dynamic strength reserve of the high-load IBD under the analysis conditions.

The application discloses a server energy-saving system and method based on a lag compensation type dynamic thermal impedance model, relates to the field of server energy saving, and solves the fan asthma phenomenon of a large amplitude sine fluctuation of a fan PWM duty cycle under constant computing power load through the following steps: collecting operation data of a server hardware bottom layer in real time, constructing a multi-dimensional heat-computing power coupling time sequence graph, solving a heat conduction time constant under a current environment of hardware based on the multi-dimensional heat-computing power coupling time sequence graph, establishing a lag compensation type dynamic thermal impedance model based on the heat conduction time constant, constructing a thermodynamic phase space according to the operation data, analyzing a noise reduction evolution track in combination with the lag compensation type dynamic thermal impedance model, performing a delay-induced strong resonance analysis based on the noise reduction evolution track, generating a weighted heat resonance state vector, activating an adaptive gain MPC predictive damping scheduling strategy based on the weighted heat resonance state vector, constructing and solving a dynamic weighted multi-objective optimization function, and generating an optimal damping scheduling instruction.

The invention discloses a grid-side current harmonic suppression method based on a five-phase permanent magnet synchronous motor driving system, and belongs to the technical field of motor driving and control. Firstly, a five-phase permanent magnet synchronous motor and non-electrolytic capacitor driving system model is established, and LC resonance analysis is carried out; extracting grid-side characteristic sub-harmonics through a band-pass filter, generating virtual damping through a PR resonance controller, and converting the virtual damping into a shaft voltage compensation instruction; extracting a grid-side input current harmonic component in real time, and combining the grid-side input current harmonic component with the output of a rotating speed loop through a PI regulator to form a final given inverter power; the compensation power is decoupled and injected into a motor shaft voltage component, and driving control is achieved in cooperation with five-phase carrier pulse width modulation. According to the invention, the grid-side current harmonic suppression under the drive system of the five-phase permanent magnet synchronous motor without the electrolytic capacitor is realized, the size of the electrolytic capacitor is saved, no extra hardware equipment is needed to carry out bus voltage resonance suppression, and the stability under the condition that the power grid is unbalanced is improved.

The application discloses a safety helmet intelligent control method and system based on electroencephalogram features, generates cognitive load frequency domain features by real-time electroencephalogram signal spectrum decomposition, and establishes an electroencephalogram control space; scans the electroencephalogram control space to identify frequency band coupling imbalance points and reversely deduce collaborative intervention time, and forms a multi-channel adjustment mode; maps a stimulation frequency range to generate a frequency matching domain and establishes a resonance intervention window through resonance analysis; monitors the frequency band in the resonance window to obtain an energy transfer trajectory, constructs a risk propagation chain to identify a cascading failure node and forms a key blocking anchor point; analyzes the risk acceleration of the key blocking anchor point to form a state deterioration rate, fuses the frequency domain features to generate a dynamic delay tolerance, and generates variable speed control parameters through fast and slow grading; compares the variable speed control parameters with a threshold value to generate a control deviation signal, generates a hedging stimulation waveform through anti-phase modulation, and forms a phase compensation execution instruction, and precise monitoring and safe intervention of a cognitive state are realized.

The application discloses a kind of electric railway in-phase compensation device parameter optimization design method, it is related to electric railway resonance analysis field.Set in-phase compensation device each part parameter range;Set the change range of harmonic number [h1, h2];Form the system node admittance matrix of each part parameter variation under harmonic number h1;Obtain the eigenvalue of system node admittance matrix corresponding to different parameters;Set operation step;Maximum eigenvalue corresponding resonance characteristic is obtained under different parameters;Make system resonance characteristic curve;Set the characteristic harmonic frequency band of locomotive and in-phase compensation device;Set in-phase compensation device optimization target;Initialize particle swarm parameter and randomly initialize the position, speed of each parameter particle of in-phase compensation device;Calculate the objective function value of each parameter particle in in-phase compensation device;According to objective function value, update the value of in-phase compensation device parameter particle;Judge whether iteration can end;Output optimal solution and make corresponding system resonance curve.

The embodiment of the invention provides a resonance analysis method, system and equipment for a metal oil pan and a medium, and belongs to the field of engine vibration noise analysis and control. The method comprises the following steps: establishing a fluid-solid coupling finite element model containing a metal oil pan structure, an internal lubricating oil fluid domain and an oil pan and engine body connection boundary condition; modal analysis is carried out, and the inherent frequency and the vibration mode of the oil pan are obtained; a vibration excitation spectrum is obtained through experimental measurement or engine whole machine dynamics simulation and serves as a load condition to be applied to the fluid-solid coupling finite element model, and frequency response analysis is carried out; and the resonant frequency point and the high-stress area of the oil pan are identified, and the risk of structural fatigue damage or abnormal noise generation of the oil pan is evaluated. By establishing the fluid-solid coupling model and performing modal analysis, the additional quality effect of the lubricating oil is fully considered, so that the modal prediction result is closer to the real working state of the oil pan, and the accuracy of resonant frequency prediction is improved.

The invention discloses a cable resonance active avoidance method and system, and belongs to the technical field of harmonic suppression. The method comprises the following steps: acquiring three-phase voltage and current of a connection port of a converter and a cable feeder, determining a sampling frequency according to a principle that an upper limit of an analysis frequency band is doubled, and determining a sampling duration according to a reciprocal of resonance analysis frequency precision; fourier calculation is carried out on the sampling data to obtain a frequency spectrum and a phase sequence; calculating a harmonic wave active power frequency spectrum, and when the ratio of the harmonic wave active power frequency spectrum to the fundamental wave active power exceeds a threshold value k%, determining resonance and locking source disturbance equipment; if the equipment can adjust the switching frequency, calculating and adjusting the optimal switching frequency according to cable distribution parameters; if not, the optimal cable length is calculated, and resonance avoidance is realized through additional length switching or standby line switching. The method solves the problem that a traditional method is difficult to identify online and actively avoid resonance, improves the operation stability of a power grid, and is suitable for a high-cabling-rate and high-power-electronic-proportion system.

The invention discloses a land reclamation ecological effect quantitative analysis method based on an agricultural function recovery degree, and relates to the technical field of land reclamation, and the method comprises the steps: calculating a normal phase invasion distance of a target farmland based on the shadow length, the solar elevation angle and the solar azimuth angle of a farmland protection forest belt; calculating a resonance index of the forest belt shadow between the normal direction of the target farmland and the field crop row spacing based on the normal phase invasion distance and the field crop row spacing of the target farmland; and generating a resonance analysis layer based on the normal phase intrusion distance, and performing resonance candidate marking on pixels of the resonance analysis layer to obtain resonance candidate pixels. According to the invention, the accuracy of land reclamation resource allocation and governance decision is improved.

The invention discloses a flexible direct current system direct current circuit resonance modeling method, an evaluation method and a related device, and the method comprises the steps: firstly building a valve group monomer topology model based on the precise reduction of the physical structure of a converter valve, then converting the dynamic behavior of a control signal into a three-phase sine wave signal, and inputting the three-phase sine wave signal into a sub-module modulation link of a three-phase bridge arm, therefore, the real-time influence of the modulation process on the direct-current loop impedance is completely captured, and the model can truly reflect the coupling effect of the alternating-current power grid impedance on the direct-current loop resonance by combining the equivalent modeling of the actual impedance relation. Therefore, a valve group monomer equivalent model in which a flexible direct current transformer, alternating current power grid impedance and modulation process influence are introduced is constructed, a high-precision flexible direct current system direct current loop resonance model is constructed on the basis of the valve group monomer equivalent model, and the problem of insufficient resonance analysis precision caused by model simplification in the prior art is solved. And the accuracy of the resonance analysis model is improved.

The application discloses a high-rise building structure vibration control optimization method, which comprises the following steps: firstly, vibration response analysis, by improving the structural resistance, strengthening the structural shape design, and applying the damper auxiliary seismic isolation device, the maximum structural response is ensured to be greater than or equal to the structural response design value, and vibration response control is realized; secondly, resonance analysis, the structural inherent frequency is optimized by considering the structural member redundancy and constraint condition, so that the structural inherent frequency omega is far away from the external excitation load frequency theta, and resonance control of the structure and the external action load is realized; then, the whip effect analysis, the vibration frequency of the top auxiliary facility is optimized by considering the structural member redundancy and constraint condition, so that the whip effect of the top auxiliary facility does not induce the secondary resonance of the structure, and the secondary resonance control of the structure and the top auxiliary facility is realized; the application considers the resonance problem of the high-rise building and the whip effect problem of the top auxiliary device, and is a supplement and improvement of the general method of the existing vibration response control of the high-rise building.

The application discloses a kind of cable resonance active avoidance method and system, belong to harmonic suppression technical field.Method includes: the three-phase voltage and current of converter and cable feeder connection port are collected, determine sampling frequency according to upper limit of analysis band twice principle, determine sampling time length according to the reciprocal of resonance analysis frequency accuracy;Fourier calculation is carried out to sampling data, obtain frequency spectrum and phase sequence;The active power spectrum of harmonic is calculated, when its active power ratio with fundamental wave exceeds threshold k%, resonance is judged and source head disturbance equipment is locked;If equipment adjustable switching frequency, calculate optimal switching frequency according to cable distribution parameter and adjust;If it is not adjustable, calculate optimal cable length, and resonance avoidance is realized by additional length switching or standby line switching.The application solves the problem that traditional method is difficult to identify and actively avoid resonance online, improves power grid operation stability, and is suitable for high cable rate, high power electronic proportion system.

The invention relates to the technical field of biomedical engineering and precision medical treatment, and discloses a multi-scale bio-magnetic response dynamics modeling method, device and equipment and a medium. Comprising the following steps: in an extremely weak magnetic field environment, synchronously collecting response data of a biological sample under different scales; performing standardized preprocessing on the response data of each scale to obtain a multi-scale signal sequence; based on cross-scale modal resonance analysis, extracting a conservative response mode from the multi-scale signal sequence; quantitative features are extracted from the conservative response modes, and conservative feature vectors are formed; constructing and training a mixed structure state space dynamic model at a group level; on the basis of Bayesian reasoning and individual data, carrying out personalized calibration on the hybrid structure state space dynamics model, and generating a magnetic response fingerprint; and calculating a risk score based on the magnetic response fingerprint and outputting a risk assessment result. According to the invention, systematic modeling and individualized characterization of multi-scale biological magnetic response are realized.

The present application relates to the technical field of civil aviation operation risk management and control, and particularly relates to a flight full-chain operation situation risk assessment method, comprising the following steps: constructing a full-chain risk event library, determining a trigger time, calculating a peak time, a standard deviation and an amplitude of a Gaussian pulse function, and constructing a Gaussian pulse energy representation model of the full-chain risk event; calculating a link coupling weight and a risk amplification coefficient of a full-chain function resonance analysis-cascading model coupling network; calculating a probability of a risk module entering an abnormal state at the next moment according to the risk amplification coefficient, selecting parameters through Monte Carlo simulation, calculating a total risk energy according to the parameters and the amplified amplitude, identifying a link control priority, and outputting a risk level of each operation stage. The present application realizes accurate representation of full-chain risk events, quantitative calculation of cross-stage coupling effects and accurate identification of high-risk links, and improves the pertinence and effectiveness of flight full-process risk management and control.

The invention discloses a security monitoring method and platform based on multi-site information integration, and relates to the technical field related to security monitoring, and the method comprises the steps: executing the data collection of distributed lottery service sites, building a collection data set, and extracting a site security feature set; inputting into a station safety potential field channel to execute potential energy analysis, and establishing a safety state energy field; inputting to a site cognitive coupling network to execute multi-dimensional potential field interaction analysis to construct a site cognitive map; performing energy transition detection on the distributed lottery service sites, and establishing a local anomaly positioning result; and performing local risk resonance analysis by using a local anomaly positioning result and a site cognitive map, and reporting safety monitoring anomaly. The technical problems that in the prior art, multi-site safety monitoring in a distributed environment lacks global correlation analysis, and it is difficult to accurately position and early warn cross-site collaborative risks are solved, and the technical effects that multi-dimensional safety feature integration is achieved, local anomalies are accurately positioned, and global resonance risks are early warned are achieved.

A method and system for analyzing photovoltaic grid-connected circulating current resonance based on second-order modal sensitivity. The method includes: establishing the network node admittance matrix of the photovoltaic grid-connected inverter system; detecting the circulating current resonance frequency; determining the optimal observable node, the optimal excitable node, and the circulating current resonance center point; obtaining and standardizing the first-order modal sensitivity of the eigenvalue amplitude for parallel and series elements in the network; obtaining and standardizing the second-order modal sensitivity of the parallel and series elements based on the standardized first-order modal sensitivity; evaluating the participation of circulating current resonance elements by comparing the standardized first-order and second-order modal sensitivities, and defining a critical factor for the percentage adjustment of element parameters to select key circulating current resonance elements for circulating current resonance suppression based on the adjustment amount of element parameters. This invention can refine the granularity of circulating current resonance analysis, improve the efficiency of circulating current resonance analysis, provide a basis for circulating current resonance suppression, and guide the selection of photovoltaic power plant equipment and topology design.

The invention discloses a two-phase open-circuit fault-tolerant bus voltage resonance suppression method for a five-phase permanent magnet synchronous motor drive system without an electrolytic capacitor. The method comprises the following steps: establishing a two-phase open-circuit fault model of the five-phase permanent magnet synchronous motor, and modeling the drive system without the electrolytic capacitor for LC resonance analysis; a damping current is converted into a damping power formula through an active damping control method based on a resonance controller, and bus voltage resonance suppression is realized by using an additional voltage instruction; giving a coordinate transformation correction matrix under the open-circuit fault of the motor; in order to reduce torque ripple under an open-circuit fault, fault-tolerant current is obtained based on the principle that magnetomotive force is not changed to achieve two-phase open-circuit fault-tolerant operation. According to the invention, fault-tolerant resonance control under the two-phase open-circuit fault of the electrolytic-capacitor-free five-phase permanent magnet synchronous motor driving system is realized, the size of the electrolytic capacitor is saved, and no extra hardware equipment is needed for bus voltage resonance suppression.

The embodiment of the invention provides a single-cell label-free detection method and device based on microcavity resonance, and effective construction of a cavity is realized through innovative design of a microcavity preparation system, process optimization and quality control. A resonance analysis mechanism is constructed, and a reliable characterization strategy is established in combination with signal processing and feature extraction. Structural analysis is introduced, and the detection accuracy is ensured through model construction and parameter calculation. According to the method, the defects of the traditional technology in the aspects of microcavity preparation, resonance analysis, cell analysis and the like are effectively overcome, and a technical guarantee is provided for single cell detection.

The invention relates to the technical field of data analysis, and particularly discloses an MES-based production data acquisition and analysis system. Comprising a topology construction module used for collecting the operation rhythm of key equipment and constructing a collaborative topology baseline of an operation rhythm sequence; the feature fusion module is used for carrying out topological characterization and stability fusion on equipment collaborative fluctuation, generating a collaborative skewness index and a kurtosis collaborative coefficient, and forming collaborative modal features; the resonance analysis module is used for constructing a skewness-kurtosis phase diagram, judging systematic fluctuation resonance through a resonance triggering criterion, and identifying a fluctuation event cluster and a driving mode thereof; and the convergence regulation and control module carries out target node differentiation regulation and control based on a fluctuation amplification intensity link, updates a collaborative topology baseline, and realizes system adaptive convergence. According to the method, the fluctuation in production collaboration can be effectively identified, and the stability and controllability of a manufacturing system are improved.