339 results about "Kinetic analysis" patented technology

The invention relates to the field of water quality evaluation, in particular to a rain source type river water quality evaluation method and system.The method comprises the steps that a sensor of a water quality monitoring system monitors micro-rain detection data of a micro-rain event, and the water quality monitoring system adjusts the sampling frequency of the sensor through an adaptive algorithm; obtaining water quality monitoring data through a micro-pollution mutation detection method; constructing a water quality recovery model of the micro-rain event through nonlinear kinetic analysis, and predicting a peak value and recovery time of water quality change of the micro-rain event; identifying a significant sudden change point of water quality change through a chaos theory algorithm, and adjusting the sampling frequency of the sensor through fuzzy logic control; key pollutants are obtained according to the peak value of the water quality change and the recovery time, and the key pollutants and pollution source data are subjected to data correlation analysis to judge the pollution source. The problems that the impact and the influence of a micro-rain event on the river water quality are not fully considered, so that the water quality evaluation is not timely and accurate enough, and the water quality change cannot be effectively captured and a pollution source cannot be analyzed are solved.

The invention is an advanced deep learning system that combines a latent transformer core with a latent dynamics analyzer. This system processes input data into latent space vectors, which are then analyzed in parallel for both prediction and dynamic modeling. The latent transformer generates short-term predictions, while the latent dynamics analyzer derives equations of motion describing the underlying system dynamics. By integrating spectral analysis and change detection, the system can identify significant shifts in behavior, particularly useful for complex systems like financial markets. The invention enables more accurate predictions, interpretable insights, and early detection of regime changes. Its end-to-end training approach ensures all components work harmoniously, balancing predictive accuracy with physical plausibility and interpretability.

The invention relates to a data fusion processing method and system for an intelligent sensor based on MEMS, and the method comprises the following steps: carrying out the non-stationary signal decomposition of a multi-modal physiological parameter time sequence data stream, and obtaining a key vital sign feature sequence; performing phase coupling degree calculation on the key vital sign feature sequence to obtain an inter-organ function correlation intensity matrix; performing high-dimensional feature space projection on the critical patient based on the inter-organ function association intensity matrix to obtain a pathological state feature map of the patient; performing nonlinear kinetic analysis on the pathological state characteristic spectrum of the patient to obtain a disease progress dynamic trajectory; and performing clinical decision support reasoning based on the disease progress dynamic trajectory to obtain personalized treatment suggestions, thereby solving the technical problem that the existing analysis method is often limited to observation of a single physiological parameter or simple statistical analysis and lacks the ability to understand the disease mechanism from the overall perspective.

The invention relates to a dynamic analysis optimization method for a high-speed stamping hybrid mechanism with a lubricating gap and considering an impact load. The dynamic analysis optimization method comprises the following steps: S1, defining structural parameters and design parameters; s2, establishing a lubrication gap motion model, a contact force model and an oil film bearing force model; s3, introducing a flexible beam unit model; s4, the relative motion state of the bearing and the shaft at the revolute pair element is judged; s5, establishing a kinetic equation; s6, solving the kinetic equation; s7, optimizing and improving the structural parameters of the mechanism; and S8, circulating the above process, and carrying out iterative solution until the kinetic analysis and parameter optimization are completed. The established rigid-flexible coupling kinetic equation containing the lubricating gap can more accurately predict the mechanism dynamic response characteristics of the high-speed stamping hybrid mechanism when the high-speed stamping hybrid mechanism is subjected to the impact load in actual work and operation, and the modeling method is suitable for dynamic response characteristic analysis and optimization design of high-speed stamping mechanisms of other configurations. The method has the advantages of wide applicability and the like.

The invention provides a waste glass activity rapid comprehensive evaluation method based on dissolution kinetics analysis. According to the method, the silicon ion dissolution characteristic of the waste glass in an alkaline environment is measured, the particle size effect and kinetic parameter analysis are combined, the corresponding relation with the 28-day compressive strength activity index is established, and rapid evaluation of the activity of the waste glass is achieved. The method comprises the steps of dissolution test, kinetic analysis and activity evaluation. Research finds that a power function relationship exists between the reaction rate constant and the particle size, and good linear correlation exists between the dissolution characteristic and the activity index. According to the invention, a complete evaluation system of particle size-reaction rate-activity index is established, the goal of predicting the 28-day activity index from the 24-hour dissolution characteristic is realized, and the error between the prediction result and the measured value is less than 2%. The method is short in evaluation period and accurate and reliable in result, and has important engineering application value.

The invention discloses a prepreg tape tension detection method and device based on an extended state observer and a medium, and the method comprises the steps: carrying out the kinetic analysis of an unreeling shaft of an automatic tape laying machine, and constructing a tension model; converting the tension model into a state-space equation, and constructing a tension state observer according to the state-space equation; optimizing the tension state observer through a genetic algorithm based on an error between a tension estimated value output by the tension observer and a tension target value; the current corresponding to the unwinding torque, the real-time radius of the unwinding shaft and the conveying speed of the unwinding shaft are obtained and input into the optimized tension state observer, and a tension estimation value is obtained; the tension estimation value is decoupled through a controller to obtain a control signal, and the unwinding torque is controlled through the control signal; inputting the unwinding torque into a tension model to obtain an actual tension value; and setting a Lyapunov function, and judging whether the actual tension value is accurate or not through the Lyapunov function.

The invention discloses an aluminum electrolytic capacitor state evaluation method and device, and the method comprises the steps: carrying out the frequency scanning measurement of an electrolyte and oxidation film interface, and obtaining the change data of an interface polarization current phase angle along with the frequency; measuring fluid dynamic characteristics of the electrolyte according to the polarization characteristic parameters, and detecting micro-flow response characteristics; according to the flow distribution data and the evolution data, applying a voltage sequence to carry out ion migration kinetic analysis; carrying out microstructure analysis in a preset temperature change process according to the ion distribution characteristics; and according to the structure change data and the dielectric response data, analyzing the change characteristics of the molecular level, the bubble distribution and the overall performance to obtain a stability evaluation result. According to the technical scheme, through multi-dimensional analysis of the interface polarization characteristic, the fluid dynamic characteristic, the ion migration dynamics and the microstructure change of the electrolyte, effective detection of bubbles and layering phenomena in the electrolyte is realized, and accurate evaluation of the performance state of the capacitor is facilitated.

The invention relates to a three-dimensional channel structure design method of a micro-channel heat exchange module and a related device thereof. The method comprises the following steps: inputting a heat conduction coefficient and a convective heat transfer coefficient of a micro-channel heat exchange module into a Rayleigh-Ritz coupling model for kinetic analysis to obtain channel structure parameter data; performing temperature field and pressure field acquisition on the channel structure parameter data, and performing time sequence feature extraction through a double-space-time automatic encoder to obtain a fluid dynamic feature data matrix; inputting the fluid dynamic characteristic data matrix into a recursive window Bayesian network, and calculating a heat exchange efficiency weight coefficient, a fluid resistance weight coefficient and a heat transfer uniformity weight coefficient to obtain a channel optimization objective function; and according to the channel optimization objective function, carrying out global iterative calculation on the channel main body structure by utilizing a genetic algorithm, and carrying out local optimization on the shunting and converging structure by adopting numerical simulation to obtain a three-dimensional channel structure optimization scheme. According to the method, the optimization precision of the channel structure parameters is effectively improved.

The invention belongs to the technical field of multi-body dynamics analysis, and discloses a wind driven generator transmission chain rigid-flexible coupling multi-body dynamics analysis method based on dynamic mode decomposition, and the method comprises the steps: firstly, enabling multi-degree-of-freedom time series data to be non-linearly embedded into a high-dimensional feature space through an encoder neural network; extracting a dominant mode by utilizing intrinsic orthogonal decomposition (POD), and constructing a low-dimensional feature space; parameterized dynamic mode decomposition and radial basis function regression are adopted, a mapping relation between system parameters and Koopman operators is established, and accurate prediction of dynamic characteristics under variable working conditions is achieved; and finally, reconstructing a physical response through a decoder, and optimizing model parameters in combination with an error driving mechanism. The problems that a traditional method is low in calculation efficiency, poor in nonlinear adaptability and difficult in multi-parameter coupling prediction are effectively solved, the efficiency and precision of transmission chain dynamic analysis are remarkably improved, and reliable technical support is provided for state monitoring and service life prediction of the wind turbine generator.

The invention discloses a digital twinborn model construction method, a life prediction method, a model construction device and equipment of a crane, and relates to the technical field of industrial Internet of Things, the method comprises the following steps: constructing a multi-dimensional digital twinborn model, the multi-dimensional digital twinborn model comprises a physical entity layer, a connection layer, a virtual model layer, a twinborn data layer and a service function layer, the virtual model layer comprises a target twin model, and the service function layer corrects key components of the crane; transmitting the physical parameters of the crane to a connection layer for preprocessing to obtain a physical data set; the physical data set is transmitted to a virtual model layer, and an initial twin model is obtained through kinetic analysis and knowledge graph processing; and transmitting the virtual data set to a twin data layer, calculating target correction parameters according to the physical data set and the virtual data set, and correcting model parameters of the initial twin model to obtain a target twin model. According to the method, the problem of insufficient physical mapping precision of the existing virtual model is solved.

The invention relates to the field of biological medicine, and provides a cytokinetic analysis method, which is characterized in that a plurality of sections are registered to obtain a plurality of registered sections, the plurality of sections belong to the same tissue, and the plurality of registered sections are located in the same space coordinate system; constructing a three-dimensional model of the tissue on the basis of the space coordinate information of each slice in the plurality of registered slices; and performing kinetic analysis on the tissue based on the three-dimensional model, wherein the kinetic analysis comprises at least one of morphological analysis and geometric analysis. By utilizing the method, three-dimensional kinetic analysis of tissues or organs of an organism can be realized based on continuous slicing.

The invention discloses an unmarked motion capture system integrating a pressure sensor array and a depth camera, which belongs to the field of computer vision and comprises a depth camera module, a plantar pressure sensor array module, a data summarization module, a joint point calibration module, a three-dimensional force prediction module and a posture simulation module. The system collects and summarizes positions of human body joint points and pressure distribution data of planta pedis, extracts foot feature points, calibrates the human body joint points to obtain kinematics data, predicts ground reaction force in combination with planta pedis pressure distribution, and uses the calibrated kinematics data and predicted three-dimensional ground reaction force data to predict the three-dimensional ground reaction force. And carrying out human kinematics and dynamics simulation. The system provided by the invention can accurately position the spatial position of the human body joint point, accurately collect the pressure distribution and the ground reaction force in the human body movement process, and improve the accuracy of kinematics and dynamics analysis of the human body.

The invention discloses an intelligent control and optimization system in aluminum hydrolysis hydrogen production, and relates to the technical field of automatic control, the system comprises a reaction kinetics analysis unit, a fluid field optimization unit and a self-adaptive intelligent control unit; the reaction kinetic analysis unit is used for obtaining the reaction rate of the aluminum powder according to the aluminum powder activity characterization parameters of the aluminum powder; according to the aluminum powder reaction rate, a hydrogen prediction rate is obtained, a bubble growth equation is constructed, and a bubble growth rate is obtained; the fluid field optimization unit is used for analyzing the mass transfer and heat transfer coupling effect in the reaction process, analyzing the influence of stirring on fluid movement, obtaining flow field speed distribution and predicting the reaction progress; and the self-adaptive intelligent control unit is used for dynamically adjusting the stirring speed according to the reaction progress, the reaction pressure, the hydrogen prediction speed, the flow field speed distribution and the aluminum powder activity characterization parameters. The utilization rate and the hydrogen production rate of the aluminum powder are improved.

The invention discloses a complex flow force mechanism quantitative analysis method oriented to body-fitted grid CFD calculation, and belongs to the technical field of fluid dynamics analys.The method comprises the steps that firstly, a complex flow aerodynamic load quantitative analysis expression based on Navier-Stokes equation weight function mapping is deduced; a vortex identification method based on threshold value self-adaption, a vortex segmentation method based on a local grid spacing self-adaption-variable density clustering algorithm and a vortex tracking method based on vortex structure position prediction matching are combined, and finally aerodynamic loads generated by induction of all vortex structures are obtained; and carrying out quantitative analysis on the stress mechanism of each local vortex structure oriented to the body-fitted grid CFD calculation result. According to the method, the defects that the vorticity moment theory and other existing complex flow lethal mechanism quantitative analysis methods are difficult to quantitatively analyze the lethal mechanism of a local vortex structure and cannot consider the object surface motion effect, the viscous effect in the pressure boundary, the friction effect and other factor lethal mechanisms are effectively overcome.

The present application provides a dynamics analysis method for an ammonia combustion refrigeration system in large park cooling. The method comprises: on the basis of a geometric structure of an ammonia combustion chamber and a fuel supply amount, calculating the heat generated by ammonia combustion and analyzing the heat transfer mode between the combustion chamber and a desorption tower, the heat transfer mode comprising direct contact type heat transfer and partition type heat transfer, and simulating the heat transfer process to obtain and draw the heat flux distribution of the tower wall surface; on the basis of the flow state and a relationship curve between the pressure drop and the flow velocity, analyzing the desorption process of a refrigerant in a solution, and on the basis of the concentration of the solution, a boiling point of the refrigerant, and the vapor pressure, calculating local desorption rates at different positions in the desorption tower and the refrigerant vapor generation amount; and on the basis of the heat flux distribution, calculating the temperature distribution of the solution, and analyzing the heat transfer and mass transfer processes in the desorption tower to obtain a local heat transfer coefficient and the mass transfer efficiency distribution of the surface of a filler.

The invention relates to the technical field of numerical control machine tool structure optimization, and discloses a numerical control machine tool structure multi-level optimization method and system, and the method comprises the steps: building a to-be-optimized numerical control machine tool model; calculating a first weight value of each working condition of the to-be-optimized numerical control machine tool model based on statics analysis; performing first topological optimization on the to-be-optimized numerical control machine tool model according to the first weight value of each working condition to obtain a first numerical control machine tool model; calculating a second weight value of each working condition of the first numerical control machine tool model based on the kinetic analysis; performing second topological optimization on the first numerical control machine tool model according to the second weight value of each working condition to obtain a second numerical control machine tool model; performing design size optimization on the second numerical control machine tool model to obtain a plurality of groups of optimized design sizes; and redesigning the numerical control machine tool to be optimized to obtain an optimized numerical control machine tool. The optimized numerical control machine tool is good in stability and applicability and light in weight.

The invention discloses a closed-loop control digital microfluidic system and a method thereof, and relates to the technical field of microfluidics, and the method comprises the following steps: initializing a digital microfluidic chip electrode array, setting an electrode spacing, an electrode size and a voltage upper limit, collecting a no-load state signal, and generating initial reference data; liquid drops are formed at the preset position of the digital micro-fluidic chip, and according to the initial reference data, the initial position, the volume and the form information of the liquid drops are collected, and a liquid drop initial state data set is generated; inputting the initial state data set of the liquid drop into a pre-trained closed-loop prediction model, performing kinetic analysis and trajectory prediction calculation, generating an expected motion trajectory of the liquid drop, and comparing the expected motion trajectory with the real-time state data flow of the liquid drop to generate deviation feedback data of the liquid drop; and dynamically adjusting the initial driving voltage parameter according to the droplet deviation feedback data to generate a closed-loop driving voltage sequence. The liquid drop trajectory control precision is improved, and motion errors caused by environmental disturbance and electrode response differences are reduced.

The invention relates to the technical field of compressors, and discloses a scroll compressor shafting dynamic balance simulation method, device and equipment and a medium, and the method comprises the following steps: carrying out fluid mechanics analysis based on a movable scroll plate model to obtain initial three-way gas force; performing dynamic analysis based on a scroll compressor model by taking the initial three-way gas force as a boundary condition to obtain a displacement result of a movable scroll plate; inputting the displacement result into the movable scroll plate model, updating the position and the motion state of the movable scroll plate, and carrying out fluid mechanics analysis again to obtain a new three-way gas force; and performing dynamic balance optimization on the scroll compressor model by taking the new three-way gas force as a boundary condition until a preset condition is met, and obtaining a target dynamic balance result. According to the technical scheme, the precision of dynamic balance simulation of the shaft system of the scroll compressor can be improved, and therefore the product reliability is improved through optimization of dynamic balance.

The invention discloses a tower crane motion planning method and device in a complex environment, and the method comprises the steps: building a nonlinear model for comprehensively describing the motion characteristics and transient behaviors of a crane-load system on the basis of kinetic analysis, and carrying out differential flat analysis; a BiRRT * algorithm based on direction bias is provided, a node expansion process is optimized by introducing a target bias mechanism of fusion region probability sampling and based on an improved potential field function direction guiding mechanism, and the efficiency and quality of path planning are improved. An improved random tree extension mechanism is combined with a depth deterministic policy gradient (DDPG) of reinforcement learning, and adaptive adjustment of sampling direction and step length parameters is realized. Path points obtained through path planning serve as profile value points of trajectory planning, system full-state constraint conditions such as load obstacle avoidance and shimmy reduction are fully considered, multi-target trajectory planning is carried out based on an NURBS curve, and a multi-target comprehensive optimal trajectory on the aspects of total hoisting time, operation energy consumption and load shimmy suppression is obtained.

The invention discloses a method and a device for quickly identifying protein crystals, which are used for solving the technical problem that the production state of the protein crystals cannot be quickly judged and analyzed in the prior art. The method comprises the following steps: acquiring a crystal microscopic image of a to-be-detected protein crystal; inputting the crystal microscopic image into a pre-trained instance segmentation model for morphology identification, and obtaining category information and contour data of the protein crystal to be detected; performing post-processing analysis based on the category information and the contour data to obtain a kinetic analysis result of the to-be-detected protein crystal, so that through high-throughput analysis based on artificial intelligence and in combination with a post-processing program set for quantitative analysis of the protein crystal, the same protein crystals with different morphologies can be quickly identified, and the detection accuracy is improved. And subsequent kinetic analysis can be carried out on the protein crystal.

The invention discloses an acoustic black hole beam dynamic analysis method, which relates to the technical field of structural dynamics and acoustics, and comprises the following steps: step 1, establishing an acoustic black hole beam theoretical model; 2, according to the Euler-Bernoulli beam theory, the displacement field components of the moment t and the acoustic black hole beam point x can be expressed as # imgabs0 #; and 3, the NURBS function is used for describing the geometry and displacement of the acoustic black hole beam. According to the acoustic black hole beam vibration characteristic and energy transfer analysis method based on isogeometric analysis and the finite element thought, the calculation efficiency is improved while the geometric accuracy is guaranteed, a powerful tool is provided for optimization design and performance evaluation of an acoustic black hole structure, and through deep analysis of energy transfer and distribution characteristics, the method has the advantages that the calculation efficiency is improved; the mechanism of the acoustic black hole effect can be further revealed, and a new thought and method are provided for development of the vibration and noise reduction technology.

The invention provides a gear contact fatigue life prediction method considering macro-micro geometric parameter influence. The method comprises the following steps: firstly, establishing a tooth surface contact-dynamics analysis model considering macro-micro geometric parameter influence, and calculating tooth surface dynamic load distribution; secondly, establishing a calculation model of the stress on the surface and below the surface of the gear considering the influence of lubrication and surface roughness, and calculating the oil film pressure and the stress on the surface and below the surface of the gear; and finally, establishing a gear contact fatigue life prediction model considering the influence of macro and micro geometric parameters, and calculating the contact fatigue life of the gear. According to the method, the influence of the rigidity change of the gear on the contact fatigue life of the gear is considered, the contact fatigue life of gears with different web structures is predicted, and the deviation between the contact fatigue life obtained through theoretical calculation and the actual contact fatigue life is reduced. Meanwhile, the method considers the influence of the error on the contact fatigue life of the gear, so that the prediction of the contact fatigue life of the gear with the modification and the error is realized.

The invention relates to the technical field of power construction, discloses a multi-system coupling control crossing frame erection collaborative operation method and system, and aims to improve the stability and collaborative efficiency of an erection process. The method comprises the following steps: establishing a three-dimensional digital model of a spanning structure body, synchronously accessing a plurality of sensor acquisition systems, and acquiring space coordinates of key nodes of the spanning structure body, environmental wind load and operation state information of construction equipment in real time; dynamically generating an anti-overturning constraint condition based on space coordinates and wind load information, and generating a cooperative scheduling strategy in combination with an equipment state; and constructing a space pose matching model to output deviation correction parameters. The stability of the frame body is evaluated through the dynamic analysis model, a load early warning index is generated, and an equipment action instruction is generated through the path optimization model. And adjusting the operation priority according to the early warning index, and synchronously sending the updated priority and the action instruction to the terminal to realize multi-system closed-loop control.

The invention provides a method for determining the working load environment of an aero-engine rotor connection structure, belongs to the field of dynamic analysis and design of aero-engine rotors, and aims at a rotor structure system with a connection structure in an advanced aero-engine to determine the type of a load possibly borne by the connection structure. Based on a rotor finite element model and aerodynamic thermodynamic parameter input of an engine, aerodynamic load analysis, temperature distribution simulation, rotor dynamic characteristic simulation and the like are carried out respectively, and working load amplitudes of a connection structure under different working conditions are obtained. The energy differential method is innovatively adopted to obtain the bending moment at the connecting structure, and the accuracy of bending moment calculation is improved. According to the method, the working load environment of the rotor connection structure can be accurately obtained, accurate load boundary conditions are provided for mechanical property simulation of the rotor connection structure, so that the simulation analysis precision is improved, and meanwhile, reliable data support can be provided for the mechanical property of the connection structure and rotor dynamics optimization design.

The invention discloses an order-lifting sliding mode robust control method for an active-passive vibration isolation system, and belongs to the technical field of vibration isolation system control, and the method comprises the steps: introducing a feed-forward control path, predicting the vibration frequency and amplitude at a future moment based on the historical state information of a controlled system, building an overall vibration isolation target model based on the prediction, and carrying out the control of the overall vibration isolation target model. Resolving a target transfer function of an active execution mechanism through kinetic analysis of the active-passive vibration isolation system, so as to calculate a feedforward control signal; the method comprises the following steps: modeling an active-passive vibration isolation system, constructing a nonsingular terminal sliding mode surface, collecting system state error information, and generating a feedback control signal of an actual controlled system through integral controller design; a feedforward control signal and a feedback control signal are reasonably coupled and superposed to serve as control input of a controlled system. According to the order-lifting sliding mode robust control method for the active-passive vibration isolation system provided by the invention, the anti-interference capability and the stability of the active-passive vibration isolation system are improved.

The invention discloses a new energy electricity price accurate prediction method and system based on virtual power plant aggregation regulation and control, and relates to the technical field of industrial data processing. The method comprises the steps: S1, carrying out the preprocessing of meteorological environment data, output equipment data and battery power grid operation data; s2, constructing a variation dynamics analysis and mutation depth discrimination mechanism based on the meteorological environment data, and entering an output prediction and optimization process and a scheduling load response process in a layered manner; s3, executing energy storage collaborative optimization scheduling and parameter correction according to a meteorological output regression prediction analysis result; and S4, performing electricity price time sequence multi-source driving analysis, and reconstructing an electricity price fluctuation response strategy. The problems that new energy output violently fluctuates within a minute level due to sudden weather change, and electricity price prediction lags due to the fact that an existing prediction model depends on too low weather data updating frequency and cannot capture the rapid change in time are solved.

The invention discloses a semi-active suspension attitude coordination method based on a suspension controller, and belongs to the technical field of attitude coordination, and the method comprises the following steps: S1, carrying out kinetic analysis on a whole vehicle suspension; s2, determining the control force of the vehicle body suspension based on the kinetic analysis result; and S3, according to the control force of the vehicle body suspension, a vehicle body posture coordination controller is used for completing posture control. The dynamic response of the pitch angle and the roll angle of the vehicle body is considered, the vehicle body attitude compensation strategy is constructed to restrain the vehicle body attitude change, and the vehicle stability and comfort are improved; the vehicle body attitude compensation controller is designed, accurate adjustment of pitching and roll is achieved, and the vehicle body attitude compensation method has good application value and development prospects.

The invention relates to a measuring point deployment and fault diagnosis method for cooperative monitoring of multiple components of an electric shovel. According to the method, firstly, a key vibration measurement surface is selected through kinetic analysis, the optimal measurement point deployment position is selected based on the effective vibration information proportion and the relative effective information amount, and the scheme reasonability is evaluated through information entropy. Then, vibration measuring points are installed on key components such as a driving motor, a disc brake and a reduction gearbox, the vibration state of the system is comprehensively obtained, and a single fault feature extractor is further constructed; then, a system-level fault diagnosis model is constructed, the model comprises a single fault feature extractor, a component space relation graph, a classifier and the like, and cooperative fault diagnosis of the key components of the electric shovel lifting mechanism transmission system is achieved through the training model. According to the method, the accuracy and comprehensiveness of fault diagnosis are improved, the downtime and maintenance cost caused by faults are reduced, effective technical support is provided for safe operation of mining machinery, and the method has important practical application value.

The invention discloses an aviation kerosene quality online detection and optimization system based on a green hydrogen substitution technology, and relates to the technical field of quality detection, and the aviation kerosene quality online detection and optimization system comprises a quality monitoring module, an optimization control module and a carbon footprint tracking and verification module. The quality monitoring module monitors the purity of sulfide, aromatic hydrocarbon and hydrogen in real time through a multispectral and electrochemical sensor, determines the optimal mounting position of the sensor by combining hydrodynamic analysis, triggers early warning when the sensor exceeds the standard, and pushes the sensor to the optimization module. The optimization control module dynamically adjusts temperature, pressure and green hydrogen flow based on a deep reinforcement learning algorithm, constructs a multi-objective optimization model, maximizes sulfur removal efficiency, reduces energy consumption and carbon emission, and realizes closed-loop intelligent regulation and control; according to the method, the accuracy and real-time performance of aviation kerosene quality detection and regulation are improved, effective tracking and verification of the green hydrogen full-life-cycle carbon footprint are realized, and the green sustainable development of aviation kerosene production is promoted.

The invention relates to the technical field of respirators, and discloses a respirator flow dynamic adjusting system based on airflow sensing, which is characterized in that after starting, a multi-mode sensing module acquires spatial flow velocity distribution and dynamic characteristics of respiratory airflow, and generates a composite data flow fused with flow field information; the composite data flow is subjected to nonlinear analysis to generate a state vector representing breathing stability, and the state vector is used for identifying fluid abnormal risks; the state vector generates an optimized execution instruction set by the self-adaptive control engine in combination with the energy state of thermoelectric conversion; the execution instruction set drives the piezoelectric valve and the shear response humidifying layer to cooperatively adjust the flow and the humidity, and outputs physiologically matched breathing gas; fusion collection of spatial flow velocity distribution and dynamic characteristics of respiratory airflow is achieved through the multi-mode sensing module, the limitation of traditional single-point measurement is broken through, and the sensing precision is remarkably improved; a breathing chaos index is constructed through nonlinear kinetic analysis, and early warning of the breathing rhythm stability and the fluid abnormal risk is achieved.