110 results about "Attenuation curve" patented technology

The invention discloses a tunnel monitoring method and system based on a vibrating wire sensor, and relates to the technical field of tunnel engineering construction safety monitoring, and the method comprises the steps: collecting the vibration frequency data and spatial position coordinates of the vibrating wire sensor in a monitoring region; the method comprises the following steps: calculating a time difference and an energy attenuation ratio between adjacent sensors by extracting spectrum energy density distribution, and constructing a stress wave propagation field; dividing grids in the propagation field to calculate node stress values, generating a stress field distribution cloud picture and extracting a stress concentration area; calculating a gravity center position coordinate change rate and a stress time sequence curve of the stress concentration area, and determining fracture extension parameters; and calculating a surrounding rock bearing capacity attenuation curve based on the parameters, and outputting an early warning signal when the slope exceeds a threshold value. According to the invention, real-time monitoring and early warning of the tunnel surrounding rock instability risk are realized.

The invention relates to the crossing field of mechanical engineering and intelligent prediction technologies, particularly discloses a coal mill efficiency and service life prediction method and device, and aims to solve the problem that a traditional model is difficult to deal with nonlinear coupling prediction of equipment performance degradation under variable load and coal quality fluctuation. The method comprises the following steps: receiving a multi-source sensing data stream and constructing a structured feature matrix with aligned time sequences; efficiency degradation implicit features are extracted through a nonlinear dynamic encoder, and the interaction influence of grinding roller abrasion, lining plate fatigue and bearing degradation is quantified in combination with a multi-failure-mode coupling analysis module; and cooperatively predicting a network output efficiency attenuation curve and residual life probability distribution through a bidirectional attention mechanism. According to the method, through fusion of multi-source time sequence characteristics and multi-failure coupling modeling, limitation of a static threshold value and linear extrapolation is broken through, prediction precision and timeliness are remarkably improved, intelligent maintenance decision support is provided for a coal-fired power plant, non-planned shutdown risks are reduced, and operation economy and system reliability are optimized.

The invention relates to the technical field of tire evaluation, in particular to a method for evaluating the aging loss performance of a rubber engineering tire. The method comprises the following steps: determining tire attributes according to a tire vulcanization process database; constructing a multi-environment composite accelerated aging oven based on the tire vulcanization process database; segmenting a tire sample according to the tire attribute, inputting the tire sample into the multi-environment composite accelerated aging oven, and simulating accelerated aging; sampling according to a preset time interval to obtain an aging simulation result; determining a performance attenuation curve of each tire sample according to the aging simulation result; inputting the performance attenuation curve into an Arrhenius equation, and determining key failure time; and determining the tire performance according to the key failure time and the tire attribute.

The invention discloses a dam leakage channel detection and danger elimination quality evaluation method based on transient electromagnetism, and relates to the technical field of earth and rockfill dam danger elimination and reinforcement. The method comprises the following steps: A, leakage channel detection: A1, data acquisition: performing data acquisition on a dam by adopting pull-type small loop transient electromagnetic equipment to obtain original electromagnetic signal data; a2, forward modeling: performing forward modeling on the acquired data, and calculating a theoretical attenuation curve and apparent resistivity distribution by considering special boundary conditions of the dam; and A3, carrying out inversion calculation. According to the method, leakage signals can be accurately captured based on the high sensitivity of a transient electromagnetic method to a low-resistance body, the used pull-type small-loop transient electromagnetic equipment is convenient to operate, a dam can be comprehensively covered by combining reasonable measurement point arrangement, forward modeling and inversion calculation can comprehensively consider various factors, the position and depth of a leakage area are determined, and the detection accuracy is improved. Compared with a traditional method, the method has obvious advantages in detection depth and accuracy.

The invention relates to the technical field of new energy automobile batteries, in particular to a new energy automobile battery state prediction method, optimization control method and system, and the method comprises the steps: collecting the real-time operation data of a new energy automobile battery; uploading the real-time operation data to a cloud processing platform in which historical operation data of the battery is stored, and dynamically predicting the state of the battery; fusing the charge state data driven by the real-time model and the charge state data driven by the historical data to carry out charge state estimation prediction, and outputting charge state estimation parameters; a circulation attenuation model is combined with reinforcement learning correction, historical circulation data is used for fitting a capacity attenuation curve, and a dynamic battery health state estimation value is output; a fusion thermal model and an internal resistance model are adopted, a safety voltage / temperature boundary is predicted through digital twin simulation, and a dynamic battery power state estimation value is output; and generating a battery control strategy based on the battery state parameters and issuing the battery control strategy to an onboard BMS module for execution.

The invention discloses a heating control method for an engine gas delivery pipeline of a marine gas generator set, which relates to the technical field of marine gas power systems, and comprises the following steps: collecting multi-dimensional environment state information of the gas delivery pipeline in real time, analyzing gas components and pressure fluctuation data, and calculating the temperature of the gas delivery pipeline; a theoretical dew point temperature and a potential paraffin precipitation temperature under real-time pressure are calculated by combining a fuel gas physical property database, a real-time heat exchange model is constructed by combining a pipeline outer wall temperature gradient and a cabin environment temperature, theoretical temperature attenuation curves of different positions of fuel gas in a pipeline are obtained, condensation and paraffin precipitation risk positions and degrees are predicted after comparison, and a real-time heat exchange model is established. And differential electric heat tracing control strategies of different sections of the pipeline are generated in combination with relative humidity data of the cabin. The method can adapt to the real-time physical property of gas and the heat exchange state of the pipeline section, and the heating control execution mode of the gas pipeline is optimized.

The invention provides an inflection point prediction method and an inflection point prediction device applied to the health life of a battery, and a computer storage medium. The inflection point prediction method comprises the following steps: acquiring an original capacity sequence of the battery in a cyclic charging and discharging process; inputting the original capacity sequence into an XLSTM network architecture for training and prediction to obtain a preliminary capacity prediction value; inputting the residual error sequence of the preliminary capacity prediction value and the true value into a multi-output Gaussian process error correction model to correct a prediction result to obtain a residual error correction value; generating a capacity attenuation curve according to the initial capacity prediction value and the residual error correction value; performing high-order differential analysis on the capacity attenuation curve, and determining the curvature of the capacity attenuation curve; and performing fusion identification on a high-order differential analysis result and the curvature by adopting double criteria, and determining a capacity attenuation inflection point of the battery. Through the inflection point prediction method, early, accurate and reliable inflection point prediction is realized.

The invention relates to the technical field of suspension bridge cable clamp detection, and particularly discloses a cable clamp anti-sliding performance detection method based on multi-point stress-strain monitoring, and the method comprises the steps: simulating a main cable through a full-scale sample, installing a test cable clamp and a brake cable clamp, and applying an axial thrust through a jack. A strain gauge, an axial force meter and a displacement meter are arranged on a cable clamp and a bolt, graded loading is carried out to obtain a bolt pre-tightening force attenuation curve and a slippage critical load, and therefore the friction coefficient mu is calculated. And establishing a main cable-cable clamp three-dimensional contact finite element model, and inputting mu and pre-tightening force attenuation data measured by the test to carry out simulation calibration, so that a simulation result is consistent with that of the test. And finally, a bolt is fastened to a design value in the calibrated model, and vertical sling force is applied to the sling clamp lug plate until the sling clamp lug plate slides, so that the maximum anti-sliding force of the sling clamp is obtained. The objective of the invention is to solve the problems that an existing cable clamp anti-sliding performance testing method excessively depends on a finished bridge main cable, the cost is high, the period is long, and matching verification cannot be carried out in the early stage of a project.

The invention discloses a perfusion imaging method and device for low-rotating-speed imaging equipment, a medium and a product, and relates to the field of medical image processing. The method comprises the following steps: acquiring plain-scan projection data and time sequence projection data of a brain interested body layer; determining a target time decay curve associated with the interested cerebral artery according to the time sequence projection data; determining a difference value between projection data corresponding to each scanning moment in the time sequence projection data and the plain scanning projection data, and taking the difference value as target projection data of the corresponding scanning moment; determining a target independent variable capable of enabling the target projection data and the forward model projection data to meet a difference minimization condition, and determining a perfusion parameter diagram combination based on the target independent variable; the forward model projection data is determined based on a target time decay curve and an independent variable, and the independent variable comprises a cerebral blood flow chart to be optimized and an average passing time chart. According to the invention, the accuracy of the perfusion parameter diagram combination determined based on the projection data acquired by the low-rotating-speed imaging equipment can be improved.

The present application relates to a kind of based on bracketless appliance rotation and oblique mechanical evaluation system, belong to oral orthodontic equipment technical field.The system includes four big core units: whole dental arch constraint unit simulates oral temperature by constant temperature water bath component, camera holder type adjustable dental arch base adjusts model posture, constructs accurate constraint environment;Clinical displacement driving unit is based on anchorage center bearing lever structure, through adjustable anchorage positioning, multidirectional servo driving and displacement closed-loop calibration, realize positioning-driving-data synchronization;Single tooth mechanical sensing unit collects dynamic mechanical data, and interference is removed by Kalman filtering;Data processing unit combines environmental parameters, and uses multiple linear regression to correct attenuation bias, generates mechanical attenuation curve and calculates time attenuation percentage, compares clinical suitable force interval and outputs mechanical evaluation report.The evaluation accuracy and clinical adaptability of the present application provide scientific basis for oral orthodontic scheme optimization.

This application relates to the field of scanner image acquisition technology, and in particular to a method and apparatus for dynamic compensation of exposure time of a reverse-side CIS sensor. The method is applied to a duplex automatic document feeder scanning system, which is equipped with independent CIS sensors for the front and back sides to achieve synchronous scanning of the front and back sides. The method includes: upon receiving a duplex scanning task instruction initiated by a user, obtaining the current relative luminous intensity of the reverse-side CIS sensor LED based on the current cumulative illumination time of the LED and a pre-stored attenuation curve model of the reverse-side CIS sensor LED; obtaining the compensated exposure time based on the current relative luminous intensity and pre-stored initial parameters of the reverse-side CIS sensor; and controlling the reverse-side CIS sensor LED to illuminate according to the compensated exposure time, thereby achieving exposure compensation and image quality maintenance of the reverse-side image during duplex scanning.

The application relates to a detection method and system for measuring residual oxygen concentration by laser, and relates to the field of gas concentration detection. The method comprises the following steps: selecting laser with oxygen absorption peak wavelength as detection laser, applying a periodically changed modulation signal to form a modulation laser and irradiate the headspace, demodulating a direct current component from the modulation laser passing through the headspace, calculating a deviation rate according to the direct current component and a reference direct current, judging whether the deviation rate is within a threshold value, feeding back and adjusting the laser wavelength if the deviation rate is not within the threshold value, and finally outputting a laser intensity attenuation curve of residual oxygen to obtain the residual oxygen concentration. The detection system comprises an optical subsystem, an electrical subsystem, a feedback control subsystem and a data processing subsystem. The application can accurately measure the residual oxygen concentration in the headspace, effectively detect and correct the laser wavelength drift, and improve the measurement precision and stability.

The invention provides a super capacitor failure early warning method and system, and relates to the technical field of failure early warning, and the method comprises the core steps: analyzing the overload condition of a vehicle based on a rolling time window, giving a label, associating reference monthly attenuation rates under different condition labels, introducing an individualized correction mechanism to a target vehicle, and carrying out the early warning of the failure of the super capacitor. And an accurate capacity attenuation curve is generated, and residual effective life prediction and multi-stage early warning are realized. The method has the advantages that the limitation that traditional static threshold early warning cannot adapt to a dynamic driving scene is overcome, actual factors such as regenerative braking frequency, charging and discharging intensity and working condition fluctuation are fully considered, and the timeliness and accuracy of early warning are remarkably improved; and through combination of knowledge base construction and individualized correction, the prediction model can be dynamically adjusted according to the use modes of different vehicles, and the adaptability and robustness of the early warning system are effectively promoted.

The application belongs to the technical field of inertial confinement fusion measurement, and relates to a traveling wave split-frame camera time characteristic calibration method, device, equipment and medium, which comprises the following steps: splitting a pulse laser into a first light beam and a second light beam; acquiring a first light spot image of a microstrip under a direct current voltage, and a second light spot image corresponding to the second light beam when a split-frame camera is driven by a gating pulse and is synchronized with the pulse laser; based on the first light spot image, the gray scale distribution of a strip-shaped light spot in the second light spot image is respectively subjected to spatial light intensity correction; according to the gray scale peak position of the strip-shaped light spot in the corrected second light spot image, the transmission speed of the gating pulse on the microstrip is calculated, and a gain attenuation curve of the split-frame camera is fitted; the gray scale distribution of the strip-shaped light spot in the second light spot image is subjected to gain attenuation correction by using the gain attenuation curve, and the exposure time of the split-frame camera is calculated in combination with the transmission speed and the pixel size. The purpose is to improve the calibration precision and efficiency of the time characteristics of the split-frame camera.

The application discloses a kind of anti-tumor tablet stability prediction methods based on multi-source data fusion, specifically related to the field of pharmaceutical preparation stability prediction, including S1, data acquisition;S2, multidimensional feature parameter extraction;S3, stability prediction benchmark model construction;S4, real-time attenuation index calculation;S5, deviation threshold range determination;S6, stability deviation index analysis;S7, prediction result dynamic update;The application integrates multi-source data, constructs stability prediction benchmark model, is not limited to the simple trend analysis of single factor, realizes the accurate prediction of content attenuation, related substance growth, disintegration time limit change index by key influence factor marker, critical threshold setting and theoretical attenuation curve fitting, effectively improves the accuracy and timeliness of anti-tumor tablet stability prediction, provides scientific basis for drug expiration date evaluation and quality risk control.

The invention discloses an electrocatalyst activity attenuation prediction method based on microdynamics, and relates to the field of electrochemical catalyst.According to the electrocatalyst activity attenuation prediction method based on microdynamics, an electrocatalytic reaction and an inactivation reaction are dynamically coupled in a microdynamics model for the first time, the limitation of traditional thermodynamic stability analysis is broken through, and the activity attenuation process under the working condition can be truly reflected. By introducing a residual active site coverage variable and adopting quasi-steady-state approximation, the modeling and solving problems of a dynamic process of continuous loss of active sites are successfully solved, and a complex rigid differential equation set is simplified into an analyzable linear problem. The method not only can predict a stability attenuation curve, but also can quantitatively diagnose key steps influencing the service life through half-life period control degree analysis, realizes crossing from'phenomenon prediction 'to'mechanism interpretation' and'reverse design ', and provides a powerful theoretical tool for rationally designing a high-stability electrocatalyst.

The invention relates to the technical field of electronics, and discloses intelligent wearable equipment and a watchband identification method thereof. The intelligent wearable device comprises a watchband and a watch body. An SOC for providing an excitation end and an acquisition end is arranged in the meter body; an oscillating circuit is arranged in the watchband, the input end of the oscillating circuit is used for being electrically connected with the excitation end, the output end of the oscillating circuit is used for being electrically connected with the acquisition end, and the oscillating circuit is provided with a parameter combination used for forming a target cut-off frequency corresponding to the type of the watchband; the SOC is used for generating a sweep frequency excitation signal when a watchband insertion event is detected; and extracting an amplitude attenuation curve output by the oscillating circuit, determining a corresponding target cut-off frequency according to the amplitude attenuation curve, and identifying the type of the currently inserted watchband according to a determination result and a mapping relationship between a preset cut-off frequency and the type of the watchband. According to the embodiment of the invention, the method is realized by multiplexing the resources of the SOC, and the purchase cost and layout space occupation of additional devices are avoided; and the design complexity can be effectively reduced, and the research and development debugging time and cost are reduced.

The application provides a performance evaluation method, device and equipment of a current transformer and a medium, and relates to the field of data processing. In the method, the current transformer is in a saturation edge excitation state through composite work excitation, and a magnetostrictive micro-vibration response signal and a guided wave propagation response signal are collected. Resonance modal variation characteristics, guided wave path propagation characteristics and local scattering characteristics are extracted to construct a magnetoacoustic modal feature vector sequence. The feature vector sequence is input into a magnetoacoustic-performance mapping model to obtain a ratio difference, a phase angle error, a saturation characteristic offset and a harmonic error prediction value, and to output a degradation category probability distribution. Based on the change trend of each performance prediction value over time and in combination with the degradation category probability distribution, a performance attenuation curve and a degradation category evolution track are generated, so that dynamic evaluation and degradation state judgment of the performance of the current transformer are realized. Implementation of the technical solution facilitates improvement of the performance evaluation accuracy of the current transformer.

The invention relates to an analysis method and an analysis device for the reaction performance degradation characteristic of an SCR (Selective Catalytic Reduction) denitration catalyst, and the method comprises the following steps: deducing and concluding based on the removal efficiency of NO to generate a denitration catalyst reaction performance degradation principle general formula; based on a denitration catalyst reaction performance attenuation principle general formula, analyzing denitration catalyst reaction performance attenuation characteristics including a single time node, double time nodes and multiple time nodes; and determining the residual life of the catalyst according to the reaction performance attenuation characteristics of the denitration catalyst, and generating a reaction performance attenuation curve of the denitration catalyst. Therefore, the problems that quantitative analysis under different working conditions lacks a unified basis and is difficult to adapt to complex scenes of single, double or multiple time nodes and prediction results lacks an imaging attenuation curve due to the fact that catalyst performance detection lacks a unified attenuation principle general formula and a multi-node analysis method in related technologies are solved. And the attenuation trend of the denitration efficiency or potential cannot be visually displayed.

The invention relates to the technical field of path planning, in particular to an intelligent fire rescue path planning system which comprises an environment field construction module, a dynamic prediction module, a performance constraint module, a cost quantification module and a path decision module. According to the method, environment monitoring signals are collected to construct a fire spreading probability field, temperature and smoke concentration gradient changes are quantified, the fire advancing speed and the node passing distance are compared to determine a safe passing time threshold value, and the limit running speed in the extreme environment is inversely calculated in combination with the heat radiation dose and a vehicle tire and engine heat attenuation curve. According to actual consumed time and a preset minimum safe flow velocity threshold value, an edge weight is updated to construct a time-varying impedance road network model, potential high-risk nodes are eliminated in the planning process, and dynamic risk avoiding and rescue coordinates are generated, so that a rescue vehicle is ensured to preferentially run according to the real-time situation of a fire scene and self mechanical performance limitation; and the survival probability and the passing efficiency of the navigation path in the complex catastrophe environment are effectively improved.

The application provides a kind of road base compaction degree nondestructive testing method and system based on impact echo method, it is related to road nondestructive testing technical field, it is applied to inspection well or pipeline well peripheral base reinforcement area.The method obtains well body outer contour, base design thickness, wave velocity calibration value and detection point radial distance and ring angle;According to inner, middle and outer ring, detection point is arranged to collect impact echo signal;Well side reflection prediction echo window and base bottom surface reflection evaluation window are generated and well side reflection attenuation curve is formed;Main peak, adjacent energy area and phase mutation area are identified and deducted or weighted to obtain base effective echo;Based on reflection to reach stable component, effective band energy attenuation component and main frequency shift component, compaction abnormal value is formed;Excluding boundary interference, continuous anomaly is combined into ring under-compaction suspected area, the accuracy and reliability of well peripheral base compaction degree nondestructive testing are improved.

The invention relates to the technical field of inertial confinement fusion measurement, and relates to a traveling wave framing camera time characteristic calibration method, device and equipment and a medium. The method comprises the following steps: splitting pulse laser into a first light beam and a second light beam; acquiring a first light spot image of the micro-strip under the direct-current voltage and a second light spot image corresponding to the second light beam when the framing camera is driven by the gating pulse and is synchronous with the pulse laser; based on the first light spot image, performing spatial light intensity correction on gray distribution of the strip-shaped light spots in the second light spot image; according to the gray peak position of the strip-shaped light spot in the corrected second light spot image, the transmission speed of the gating pulse on the microstrip is calculated, and a gain attenuation curve of the framing camera is fitted; and performing gain attenuation correction on the gray level distribution of the strip-shaped light spots in the second light spot image by using the gain attenuation curve, and calculating the exposure time of the framing camera in combination with the transmission speed and the pixel size. The objective of the invention is to improve the time characteristic calibration precision and efficiency of the framing camera.

The invention relates to the technical field of building acoustic environment monitoring, regulation and control, and discloses a real-time monitoring method for a building noise reduction and sound absorption part based on an acoustic sensor. According to the method, acoustic signals of a building target area are collected through a multi-channel acoustic sensor array, and a sound pressure level distribution map is generated; performing time-frequency domain decomposition on the atlas, separating low-frequency standing waves from high-frequency scattering components, and generating a sound energy absorption efficiency reference value by combining impedance characteristic parameters of a sound absorption component material; according to the reference value and a preset noise reduction target threshold value, dynamically dividing an acoustic sensitive area and marking the position of a sound absorption part needing to be optimized; based on the real-time sound pressure level change of the sensitive area, a nonlinear regression model is adopted to predict a performance attenuation curve of the sound absorption component, and an acoustic regulation and control parameter adjustment instruction is output; and the instruction is converted into the physical structure adjustment amount of the sound absorption component, and the monitoring frequency range of the sensor array is synchronously updated to adapt to the adjusted state. According to the method, dynamic linkage of monitoring and regulation is realized, and various building environment noise reduction requirements are met.

The invention relates to the technical field of steering gear shell strength simulation, in particular to a steering gear shell strength twinborn simulation method, which comprises the following steps: acquiring real-time operation data of a physical entity, establishing a macroscopic finite element model of a steering gear shell, and constructing a macroscopic-microscopic scale coupling twinborn model; operating the macroscopic-microscopic scale coupled twinborn model, performing offline training by using the macroscopic-microscopic scale coupled twinborn model, and constructing an agent model for quasi-real-time prediction of the total rigidity of the structure; running the agent model on line, and presetting a fidelity control threshold value; the attenuation fidelity between the predicted rigidity attenuation curve and the actually measured rigidity attenuation curve is calculated; when the attenuation fidelity is lower than the fidelity control threshold value, closed-loop correction is executed; when the attenuation fidelity is not lower than a fidelity control threshold value, continuing to run the agent model online; according to the method, the problem of slow calculation of the high-fidelity model is solved, and long-term accuracy of the model is ensured.

The invention relates to the technical field of inductors, and particularly discloses a second-order inductor which comprises a square-core device (10), a T-core device (20), a coil (30) and a magnetic device (40), and the coil (30) and the magnetic device (40) are arranged between the square-core device (10) and the T-core device (20). The square-core piece (10), the T-core piece (20), the coil (30) and the magnetic piece (40) are orderly combined together in a nested and superposed manner; according to the invention, the independent magnetic part is innovatively added between the traditional core part and the T-core part, so that the limitation that the traditional integrally-formed inductor is single in inductance value change curve and difficult to customize is broken through. The magnetic piece serves as a magnetic field regulator, and the magnetic field attenuation rate of the inductor in different current intervals can be accurately controlled by selecting materials (such as saturation flux density and magnetic conductivity) of the magnetic piece. Specifically, a predetermined nonlinear attenuation curve in which the inductance value is reduced by about 30% under a small current and is reduced by about 70% under a large current can be reliably realized.

The application discloses a kind of intelligent detection methods for weld defects of stainless steel composite straight welded pipe, belong to nondestructive intelligent detection technical field.The method includes: establishing longitudinal space coordinate axis mapped with the length direction of weld;Synchronous acquisition of phased array ultrasonic fan-shaped scanning reflected echo signal and pulse eddy current induced eddy current attenuation curve, respectively extract interface reflection peak amplitude and decay time constant;Equivalent thickness of coating is calculated using decay time constant, and after comparing with nominal thickness, the receiving gain of phased array ultrasonic is dynamically adjusted, and the acoustic characteristics after compensation are output;The compensated acoustic characteristics and electromagnetic attenuation characteristics are input into the fusion judgment model to identify the defect category and spatial position.The application calibrates ultrasonic gain in real time through pulse eddy current, eliminates heterogeneous interface acoustic impedance mismatch interference, combines multimodal characteristics and support vector machine classification, realizes weld defect detection in full thickness range, reduces false defect alarm rate, and is suitable for online automatic detection.

This invention discloses a method for detecting the airtightness of a mobile cabin in a high-altitude environment, relating to the field of airtightness detection technology. It addresses the problem of inaccurate airtightness detection when the pressure difference between the external and internal surfaces of the cabin is small in high-altitude environments. The method includes: adjusting the real-time cabin pressure; increasing the real-time cabin pressure to a first cabin pressure, and performing a first airtightness test based on real-time environmental information and the real-time cabin pressure; performing a second airtightness test, determining whether the second airtightness test passes based on a comparison of the real-time cabin pressure with the second cabin pressure and the real-time cabin temperature with a real-time cabin temperature threshold; and performing a third airtightness test, determining whether the third airtightness test passes based on a model conforming to the pressure attenuation curve. This invention achieves airtightness detection of a mobile cabin in a high-altitude environment through multiple tests.

The present application relates to the technical field of pipeline safety, and discloses a hydrogen-doped pipeline hydrogen damage grading evaluation method based on fracture mechanics; comprising: obtaining initial pipeline state data by establishing a hydrogen-doped pipeline digital twin model; then introducing a hydrogen concentration dependent item to correct the J integral expression, and performing stress analysis based thereon; generating a material toughness attenuation curve based on the stress analysis results; obtaining hydrogen diffusion and accumulation rate parameters based on the material toughness attenuation curve; and predicting damage development trajectories in combination with real-time operation data; performing risk assessment based on a dynamic response grading standard system; and finally realizing real-time monitoring and scientific grading of hydrogen damage of hydrogen-doped pipelines. The present application realizes comprehensive dynamic evaluation of hydrogen damage of hydrogen-doped pipelines, and provides scientific decision support for safe operation of pipelines.

The invention discloses a water level monitoring method and system based on radar and image processing, and the method comprises the steps: completing the data collection and preprocessing after an MCU (Microprogrammed Control Unit) initializes the parameters of each module; based on sensor characteristics and real-time environmental parameters, calculating confidence coefficient weight through a dynamic confidence coefficient evaluation model: correcting initial confidence coefficient through a gradient descent method in combination with a sensor characteristic attenuation curve and an environmental parameter quantification interference factor, and outputting a weight vector dynamically adjusted along with the environment; fusing the preprocessed water level and pressure time domain data and image feature data by adopting an adaptive feature fusion network; an input end converts time domain data into a frequency domain to match image dimensions, a middle layer uses a double-channel attention mechanism to strengthen key features, and an output layer fuses multi-scale features through residual connection. And after multi-dimensional verification is completed on the fused data, a storage and uploading process based on importance grading is triggered. And the requirement of accurate monitoring in practical application is met.