736 results about "Analysis software" patented technology

The invention discloses a probe card simulation method and system based on counter-acting force analysis, which are used in the field of wafer simulation test, and the probe card simulation method comprises the following steps: integrating multiple physical field working conditions to construct a probe card geometric model, and importing the probe card geometric model into finite element simulation analysis software; carrying out grid division on the geometric model of the probe card by utilizing the hybrid voxel tree model, adjusting the grid density according to the distribution requirement of the multi-physical field, and setting a simulation boundary condition by utilizing a preset boundary condition template according to the actual simulation requirement; starting a simulation calculation process based on the adjusted grid density and simulated boundary conditions; and providing a visual interface of physical field distribution and a structural stress state in the simulation calculation process, and performing iterative optimization on the performance of the probe card in the simulation process according to a reactive force distribution result. According to the method, the grid density is automatically adjusted to adapt to changes of a physical field, and it is ensured that higher simulation precision is obtained in a key area.

The invention provides a mutual inductor fault diagnosis method based on multi-sensor data fusion and transfer learning, and the method comprises the following steps: S1, installing a plurality of high-precision sensors on the secondary side of a voltage transformer to be subjected to fault diagnosis based on the voltage transformer to be subjected to fault diagnosis; s2, on the basis of the step S1, performing data acquisition and processing on data acquired by various high-precision sensors through a DHDAS dynamic signal acquisition instrument; and S3, based on the step S2, carrying out fault diagnosis on the voltage transformer through a PC (Personal Computer) carrying acquisition analysis software on the DHDAS dynamic signal acquisition instrument. According to the method, multi-mode signals such as voltage, current and temperature are synchronously collected, time-frequency domain features are extracted through continuous wavelet transform, the dynamic characteristics of interlayer short circuit faults can be more comprehensively represented, meanwhile, by combining transfer learning and a deep neural network, the intelligent diagnosis model can remarkably improve the classification performance under the condition that sample data is small, and the classification efficiency is improved. And the limitation of a single-mode signal diagnosis method is effectively overcome.

A method, computer system, and computer program product are provided for analyzing software applications for risk. Data is obtained indicating one or more components of an application and historical data relating to one or more previous versions of the application. The historical data is analyzed to identify one or more vulnerabilities present in the one or more previous versions of the application. A software bill of materials is generated for the application based on the one or more components of the application, wherein the software bill of materials includes risk metadata descriptive of the one or more vulnerabilities of the application. The risk metadata associated with the software bill of materials is analyzed to determine a risk score for the application.

The invention discloses a power generation efficiency optimization method for a floating photovoltaic power generation system. The method comprises the following steps: analyzing the motion response of a floating body in a marine environment, and determining the boundary condition of the floating body swinging under the action of waves; based on hydrodynamic analysis software AQWA, a hydrodynamic analysis model of the floating body is built, and the pitching angle of the floating body is verified; in combination with an inclined surface irradiance calculation model, an improved particle swarm algorithm is adopted for optimization, and the initial inclination angle of the photovoltaic panel when the photovoltaic panel receives solar radiation energy to the maximum extent is solved; in combination with different wave conditions of a certain sea area, simulation software is used for performing dynamic simulation on the floating body and the assembly, the influence of different environmental conditions on the power generation efficiency is analyzed, and the effectiveness of the scheme is verified. According to the method, the optimal initial angle is determined by optimizing the initial mounting inclination angle of the assembly, fully considering the movement condition of the floating body under the action of waves and combining the influence of different wave conditions, the radiation quantity received by the assembly is maximized, and the defects in the aspects of laying design, dynamic adaptability and power generation efficiency in the prior art are overcome.

The invention provides a coaxial unequal force-based gas-containing coal and rock mass true triaxial indoor test method, which comprises the following steps of: preparing a sample, injecting CH4 into a confining pressure cavity, synchronously starting an acoustic emission device and a binocular miniature high-speed camera, and testing the gas-containing coal and rock mass true triaxial indoor test. Acoustic emission monitoring software and DIC analysis software are used for recording acoustic emission and strain field evolution data, stiffness loading systems in the sigma 1, sigma 2, sigma 3 + and sigma 3-directions are controlled through a controller and a servo valve, confining pressure is loaded in a force control loading mode, and sample data are processed and analyzed; according to the invention, the condition of unequal coaxial stress load in the free face direction in the mining process of an underground working face can be simulated, and the actual condition of a mine can be better reflected; a video probe side pressing plate is arranged, and a binocular miniature high-speed camera is embedded into the clamp, so that the structural change of a test surface in the loading process can be recorded in real time, three-way surface strain field dynamic monitoring is realized, and the change conditions of a crack field and a strain field of a coal sample under the gas-containing condition are better reflected.

The invention relates to the technical field of geological reservoirs, in particular to a reservoir microcosmic connectivity characterization method based on pore throat boundary intelligent identification, which comprises the following steps of: performing threshold segmentation processing on a rock casting body slice by using image analysis software, and depicting partition images of pore throats and skeleton particles; based on the partition image, combining image analysis software to measure and extract the diameter, perimeter and area of the pore throat, and calculating quantitative parameters of the pore throat structure; constructing a one-dimensional Gaussian distribution model of the nuclear magnetic logging of the reservoir; based on a one-dimensional Gaussian distribution model, establishing a Gaussian collaborative factor for pore structure evaluation; based on the quantitative parameters of the pore throat structure and the established Gaussian collaborative factors, establishing a multi-factor evaluation mathematical method to establish a multi-element evaluation model of the pore structure; and performing multivariate nonlinear fitting on the porous structure multivariate evaluation model, the nuclear magnetic movable fluid saturation and the reservoir pressure measurement fluidity, and constructing a quantitative characterization model for characterizing the reservoir microscopic connectivity. According to the method, the microscopic connectivity of the reservoir can be accurately, rapidly and quantitatively evaluated.

The invention discloses a crane double-lifting-point synchronous control method based on machine vision detection, and belongs to the technical field of automatic control. The visual camera captures a clutch position picture, transmits the picture to visual analysis software of the industrial control computer, obtains the clutch position according to a clutch deep learning training algorithm, judges the position state of the synchronizing shaft, and sends real-time state information of the synchronizing shaft to the controller; and the controller compares the real-time state information of the synchronous shaft with the synchronous instruction input setting information in real time, distinguishes the conformity and safety of the synchronous shaft state and the synchronous instruction input setting, and makes a corresponding control strategy. The machine vision technology is adopted to detect the real-time position of the clutch, the separation and kneading states of the synchronizing shaft are judged, the conformity and safety of the state of the synchronizing shaft are intelligently distinguished by combining a system synchronizing instruction input signal, a synchronous control mode is output under the condition that the state of the synchronizing shaft is normal, and normal operation of the system is ensured.

A method for analyzing density-type coal quality parameters on the basis of big data, and an analyzer and a system. The method comprises: on the basis of (II) and a large number of collected coal quality parameters A, M, V and FC, and collected Q and S data, establishing a coal quality parameter database and an identification and analysis software package; and on the basis of a coal quality parameter change signal U measured by a coal quality parameter measurement apparatus (1), the software package performing analysis, so as to obtain coal quality parameters A, M, V, FC, Q and S of coal. With regard to the coal quality parameter analyzer that uses the method, the analyzer is at least composed of a coal quality parameter measurement apparatus (1) and a control and calculation unit (2), wherein the coal quality parameter measurement apparatus (1) measures a coal quality parameter change signal U, the control and calculation unit (2) receives the signal U, and all coal quality parameters are rapidly analyzed by means of an identification and analysis software package. Compared with the establishment of a mathematical model for measurement, the method in the present invention is not affected by changes in coal types and coal quality, and has high measurement accuracy. The present invention is suitable for the online and offline measurement of coal quality parameters.

The invention discloses an open source vulnerability analysis method. The method comprises the steps of generating a security vulnerability knowledge graph of a to-be-analyzed software product; the security vulnerability knowledge graph comprises vulnerability nodes, software nodes of the to-be-analyzed software product, a calling relationship between the to-be-analyzed software product and open source software, and a dependency relationship between the open source software; the calling relationship comprises a calling relationship between functions in the software code; scanning a reachable path from the vulnerability node to the software node in the security vulnerability knowledge graph based on a graph search algorithm; and generating a vulnerability analysis result based on the scanning condition. Open source vulnerability analysis is carried out through the security vulnerability knowledge graph, and the technical problems of low vulnerability investigation efficiency and high investigation cost caused by the phenomenon that propagation paths between dependency levels of open source software cannot be identified and vulnerability analysis has false alarms can be solved.

A fault zone underground water migration dynamic monitoring method comprises the following steps: step 1, acquiring geological information, rock stratum physical and mechanical properties and fault zone morphological characteristics of a to-be-monitored area; 2, drilling holes in the periphery of a fault zone and a tunnel construction area, arranging a fault groundwater data acquisition device, acquiring hydrological data in real time, establishing a three-dimensional visual platform by utilizing detected geological and hydrological information, and monitoring the hydrological information in real time; 3, according to the geological parameters obtained through detection, a fine numerical simulation model is established through numerical analysis software; 4, the monitoring center judges the water flow state and the early warning level through three data values, namely the safety threshold value S, the limit threshold value W and the measured value A. The invention further provides a fault underground water data acquisition device. Based on the Internet of Things technology, underground water flow velocity, flow, water level and other characteristics of a fault zone are collected in real time, a model is established, the collection frequency is dynamically adjusted, and an early warning mechanism is established according to a numerical simulation result.

The invention belongs to the technical field of direct shear-seepage tests of rock joints, and discloses a numerical test method for direct shear-seepage of rock joints under different boundary conditions, which comprises the following steps of: establishing a joint surface numerical model by using finite element software, and performing tests for simulating joint shear mechanical behaviors by applying different boundary conditions. And the contact state and the opening distribution of the joint surface under different shear displacements are obtained, so that the shear stress evolution mechanism of the joint surface is better revealed, and the mechanical behavior of the rough joint surface in the shear process is accurately expressed. According to the method, the evolution law of mechanical properties in the joint shearing process can be reflected, the influence of shearing deformation on the joint seepage characteristics can be reflected, joint opening data distribution is imported into programming software to be processed, a joint seepage numerical model is constructed, then multi-physics field simulation analysis software is imported, and the joint seepage performance is improved. The flow velocity, the osmotic pressure and the streamline distribution characteristics in the flowing process are calculated, so that the joint permeability characteristics are analyzed.

The invention discloses a bridge high pier construction safety assessment method and system based on material stress analysis, and relates to the field of safety assessment, and the method comprises the steps: determining a construction environment load according to real-time construction environment information and construction weather prediction information; determining a dynamic safety index according to construction historical data of high piers of the same type; generating a construction risk value in combination with the construction environment load; according to information of equipment used for bridge high pier construction, the load of construction equipment is determined; based on stress analysis software, generating bridge high pier stress data, and predicting structure change information of the to-be-constructed bridge high pier; setting safety parameters; according to the construction progress information and the safety parameters of the current bridge high pier, the deviation degree of the bridge high pier is obtained; comparing the real-time construction environment information with the construction weather prediction information, and generating a weather correction coefficient of the current construction project; and evaluating the construction safety by combining the construction risk value, the bridge high pier deviation degree and the weather correction coefficient of the current construction project.

The invention discloses an earth and rockfill dam three-dimensional seepage simulation and parameter inversion analysis method and system based on a finite element method, and relates to the technical field of seepage simulation and parameter inversion analysis of geotechnical engineering. Comprising the following steps: deriving an earth and rockfill dam unstable unsaturated seepage control differential equation based on a Darwest unsaturated seepage theory, solving the equation based on a finite element method, and developing a software platform HYDRO-GEO / S based on a Matlab programming language; establishing an earth and rockfill dam three-dimensional seepage finite element model; performing three-dimensional seepage calculation and seepage safety analysis on the earth and rockfill dam; and constructing a parameter inversion framework to obtain the hydraulic parameters of the material. According to the method, an unsaturated seepage theory and a finite element method are coupled, an ICSSA-RBF inversion framework is constructed, an HYDRO-GEO / S software platform is developed, and in combination with instance analysis, accurate simulation and safety evaluation of earth and rockfill dam seepage and efficient inversion of seepage parameters are achieved.

The invention discloses a method for analyzing software code similarity and an analysis system, and relates to the field of software engineering and machine learning. The method comprises the steps of establishing a code snippet database, extracting multi-dimensional features of code snippets, executing similarity analysis of the code snippets, and establishing a similarity analysis result; performing context backtracking analysis on the code snippets in the database by using an adaptive analysis network, and establishing a context similarity result; performing static and dynamic fusion analysis on the database, establishing a joint function similarity, and establishing a function similarity result; code version change analysis is executed, and a version similarity result is established; and performing code similarity retrieval management according to the four analysis results. The technical problem that the code similarity analysis efficiency and precision are low due to the fact that the code snippets are high in complexity in multi-dimensional feature analysis is solved, and the code similarity analysis accuracy and efficiency are improved in the mode that multi-dimensional analysis and self-adaptive backtracking analysis are combined.

The invention relates to the technical field of battery testing, and provides a flow battery bipolar plate flow channel diversion performance testing device, which comprises an intelligent testing galvanic pile, which is composed of a plurality of detachable flow channel units, each flow channel unit comprises a bipolar plate and two flow channel frames, the flow channel frames adopt a modular design, and the flow channel units are connected with the intelligent testing galvanic pile; a plurality of micro pressure sensors, temperature sensors and flow sensors are embedded in the shell; the intelligent liquid path system comprises a plurality of independent liquid path circulating units, and each unit is composed of a liquid tank, an intelligent liquid pump, a liquid supply pipeline and a liquid return pipeline; a plurality of independent test chambers are arranged in the multifunctional shell, and a temperature and humidity control system and an intelligent drainage system are arranged in the shell; and the data acquisition and analysis system consists of a high-performance computer, a data acquisition card, a signal amplifier and analysis software. The problems that in the prior art, the local flow characteristic of the electrolyte on the surface of the carbon felt is difficult to accurately evaluate, and the requirement of optimizing flow channel design on refined data cannot be met are solved.

Systems, computer program products, and methods are described herein for generating alternative software configurations using advanced computational models for data analysis and automated processing. The present disclosure is configured to analyze a software configuration to determine a non-compliant software portion, wherein the non-compliant software portion comprises a mismatch between at least a portion of the software configuration and a compliance database. Further, the present disclosure is configured to receive a compliant software portion, wherein the compliant software portion is associated with the compliance database. Further, the present disclosure is configured to reconfigure, using an artificial intelligence model, the software configuration to include the compliant software portion, wherein reconfiguring the software configuration comprises modifying the software configuration to comply with the compliance database. Further, the present disclosure is configured to deploy an updated software configuration, wherein the updated software configuration comprises the compliant software portion.

The invention discloses a 3D printing self-adaptive wing design method based on generative artificial intelligence, and relates to the crossing field of 3D printing and artificial intelligence. In order to solve the technical problems of complex manufacturing, low reliability and large weight of a traditional process in the prior art, the technical scheme provided by the invention comprises the following steps: pre-training a large language model to obtain a trained basic model; receiving self-adaptive wing structure design parameters input by a user and generating a design scheme script; calling three-dimensional modeling software, automatically establishing a wing three-dimensional model based on the design scheme script, and outputting a model file; calling simulation analysis software, performing wing performance simulation analysis based on the model file, and outputting analysis result data; and calling the basic model to carry out design scheme evaluation and iterative optimization based on the analysis result data until an optimized model file meeting the design requirement is generated. The method can be applied to intelligent design and automatic manufacturing of self-adaptive wing structures of aerospace crafts.

An assessment system can generate a software quality value based on testing results and analysis of a multitude of factors that impact a readiness evaluation. For example, the system generates a software quality score (e.g., an Applause Quality Score “AQS”) that enables development teams to understand the level of quality they are achieving for a given release and build-over-build. In various examples, the system generates a data-driven score to enable development teams or quality assurance teams to make decisions for when a build is ready for release. In further embodiments, the system can integrate user interfaces that present a software quality score in a user dashboard that is linked to version control systems. On review and acceptance of the score, a user can trigger the release of their new code or product.

The invention relates to a rapid optimization design method for a deep and far sea floating type offshore integrated platform mooring system, which comprises the following steps of: preliminarily designing a mooring scheme according to environmental conditions such as wind waves and flows and requirements such as an integrated platform design foundation, and then performing corresponding optimization; the specific optimization process comprises the steps that the non-dominated genetic algorithm and numerical calculation software are combined, the optimization process is divided into static analysis and dynamic analysis, static analysis is conducted firstly to reduce the initial range of parameters, then dynamic analysis is conducted to determine the optimal design scheme, the genetic algorithm and mooring analysis software are combined on the basis of the Python programming language, and the optimal design scheme is obtained. In the whole analysis process, only an initial parameter range needs to be set, the optimal design scheme in the parameter range can be obtained, and intelligent optimization of the design scheme of the mooring system is achieved.

The invention belongs to the technical field of soil research equipment, and aims to solve the problem of measurement errors when a time domain reflection device is used for measuring the ice content of soil. The invention provides a method and a device for testing the ice content of a soil body based on an electrochemical impedance modulus value. The method comprises the following steps: setting test parameters of the ice content of the soil body through an electronic computer; a temperature control device is used for adjusting and controlling test conditions of the soil body sample, and a control module drives the temperature control device to perform stepped cooling on the soil body sample; applying a disturbance signal to the soil body sample through the test module, and synchronously collecting a response signal sent by the soil body sample; calculating an experimental value of an electrochemical impedance module value by using electrochemical impedance data analysis software, fitting by combining with the temperature signal to obtain a fitting value of the electrochemical impedance module value, and substituting the value and the initial water content into a soil mass ice content calculation model to obtain the ice content of the soil mass sample. According to the invention, the ice content of the soil body can be rapidly and accurately calculated based on the chemical-electrochemical impedance modulus value.

The invention provides a reamer cutting process optimization numerical simulation method, system and device and a storage medium, and belongs to the technical field of reamer simulation, the method comprises the following steps: analyzing the influence of reamer working performance parameters on reamer cutting performance simulation parameters, and then optimizing the reamer cutting performance simulation parameters; based on the main body geometric parameters, the modeling software is controlled by running the first script to conduct three-dimensional modeling, and a reamer geometric model is obtained; and inputting the reamer geometric model into numerical analysis software, simultaneously receiving cutting characteristics and cutting condition information input by a user, and then operating a second script to control the numerical analysis software to carry out finite element numerical modeling to obtain a reamer cutting numerical model. According to the method, automatic modeling of the reamer geometric model and the reamer cutting numerical model can be achieved, the reamer geometric model and the reamer cutting numerical model are subjected to integrated packaging, the treatment process can be simplified, the treatment capacity can be reduced, and the working efficiency can be improved.

The invention discloses an industrial measurement data intelligent analysis report generation method and system based on a large language model, and relates to the technical field of industrial measurement, and the method comprises a multi-source data and abstraction module which carries out the structural processing of original data DAT output by measurement analysis software; and the large language model service and interface module is used for submitting the PCT to a selected large language model LLM through a multi-model adaptation interface to execute semantic reasoning and output a structured text TXT. Structured analysis and semantic association modeling are carried out on original measurement data through multi-source data and an abstract module, when overall alignment deviation or local feature anomaly exists in the original data, a hierarchical dependency relationship between the data can be established through a semantic graph structure, a deviation transmission path is revealed, and the accuracy of the measurement data is improved. The large language model is analyzed in a unified data context, and the utilization depth of measurement data can be effectively improved, so that the accuracy and integrity of report analysis are improved.

The invention discloses a modeling method and a processing device for a lattice structure gear filled with a three-period minimal curved surface, and the method comprises the following steps: writing an implicit function equation of the three-period minimal curved surface by using Matlab numerical analysis software, and generating an stl format model; using Geomagic reverse modeling software to perform reverse modeling on the three-period minimal curved surface cell elements to produce an stp format model; using Matlab numerical analysis software to generate data points, and importing Proe software to generate a gear model; after operations of mirroring, arraying and the like are carried out on the curved surface cell element model by using SolidWorks, a lattice structure is obtained by using a curved surface thickening command; according to the method, SolidWorks is used for dividing the gear into three parts, namely a gear tooth design area, a hub design area and a spoke design area, the spoke design area intersects with a lattice structure Boolean and then is combined with the gear tooth area Boolean and the hub area Boolean, and therefore the lattice structure gear filled with the three-period minimal curved surface is constructed, and a new thought and method are provided for lightweight design of the gear.

The invention discloses a bridge service state monitoring and early warning method based on machine vision, and the method comprises the steps: firstly building a bridge numerical model through numerical analysis software, and then arranging a sensor to recognize the information of passing vehicles; before monitoring is started, a standard vehicle is selected and passes through a bridge along the center line of each lane, and the influence surface of each feature point is established by recording the vertical displacement of the feature point in the vehicle driving process; according to the vertical displacement influence surface of each feature point of the bridge and the identified vehicle information, calculating the vertical displacement of each feature point by using a superposition method; and finally, calculating the correlation between the actual measurement response and the theoretical value, and when the correlation of more than three feature points is lower than 95%, triggering an alarm to remind passing vehicles. According to the method, piezoelectric sensing and machine vision technologies are fused, and accurate inversion of vehicle loads and real-time evaluation of bridge structure states are realized through axle coupling dynamic response analysis and a data dual criterion mechanism.

The invention provides a cooling fan performance calculation method based on multi-physics field coupling. The cooling fan performance calculation method comprises the following steps that a parameterized geometric model of a fluid domain is established according to the size and the relative position of an engine cooling fan and a wind chamber test bed; respectively inputting the two parameterized geometric models into pretreatment software, respectively carrying out grid division on the two parameterized geometric models by using a grid division tool, and outputting a grid file after geometric discretization of the two parameterized geometric models; the discrete grid file of the engine cooling fan is imported into finite element analysis software, a pretreatment tool is used for defining material parameters for the engine cooling fan, boundary conditions and load constraints are applied, the discrete grid file of a fluid domain is imported into fluid dynamics analysis software, and fluid dynamics analysis is carried out on the engine cooling fan; setting a turbulence model, region and boundary conditions, a solver and the like; establishing a multi-physical field coupling model to realize data exchange among a plurality of physical fields; and operation calculation is carried out, a calculation result is post-processed, and qualitative and quantitative analysis is carried out on the fan performance.

The invention provides a bridge design method and system based on pushing displacement and rigidity inversion, and belongs to the technical field of bridge design. A theoretical formula among the axial force of each span of steel box girder, the displacement of each pier and the anti-pushing rigidity of the piers under the condition of system temperature change after each pushing in the walking pushing construction process is deduced, and actual monitoring data of the beam length change of the steel box girder in the walking pushing construction process are combined; numerical analysis software is used for carrying out inversion analysis on the anti-thrust stiffness of each pier, the curve trend of the anti-thrust stiffness changing along with the temperature difference under the theoretical condition is obtained, the theoretical analysis of the influence of the system temperature effect on the longitudinal bridge direction in the walking incremental launching construction process is perfected, and data support is provided for implementation of measures such as pier stiffness adjustment and displacement release in the follow-up process; by calculating the sparse parameters of the missing data, the adaptability to unbalanced data and the data noise redundancy are higher, and the method is suitable for missing data supplementation in the field of bridge design which is susceptible to natural factors.

An apparatus comprises a processing device configured to analyze software code of a software product to identify application programming interfaces (APIs) of software libraries used in the software code of the software product, and to determine whether any of the identified APIs used in the software code of the software product correspond to any APIs of the software libraries having reported vulnerabilities. The processing device is also configured, responsive to determining that at least one of the identified APIs used in the software code of the software product correspond to at least one of the APIs having reported vulnerabilities, to identify impacted software classes of the software product. The processing device is further configured to automate upgrade of the software libraries used in the software code of the software product based on the identified impacted software classes.

The invention discloses a trapezoidal sail multi-target size optimization method based on an NSGA-II algorithm, and relates to the technical field of unmanned sailboats. According to the method, the aspect ratio, the taper ratio and the camber ratio are selected as design parameters of the trapezoidal sail, after multiple sets of design parameters are sampled and obtained within the value range of the design parameters based on a Latin hypercube sampling method, a trapezoidal sail model is constructed by utilizing fluid simulation analysis software for each set of design parameters, and the trapezoidal sail model is obtained. Performance evaluation parameters corresponding to each group of design parameters are obtained through simulation, a database is constructed, the database is utilized to train a Kriging agent model for replacement, multiple groups of trapezoidal sail design parameters to be preferentially selected are selected, and multi-target size optimization is performed on the trapezoidal sail design parameters based on an NSGA-II algorithm and the trained Kriging agent model. And determining optimal trapezoidal sail design parameters and verifying the accuracy of the optimal trapezoidal sail design parameters. According to the method, trapezoidal sail design parameters and performance evaluation parameters are combined, and a basis is provided for optimization of a sail design scheme by using an NSGA-II method and a Kriging agent model.

The invention belongs to the technical field of pavement monitoring methods, and particularly discloses a distributed optical fiber permanent deformation monitoring method for an asphalt pavement under a moving load. The method comprises the following steps: laying a single-mode optical fiber in a test piece; laying a full-bridge strain gauge in the test piece; monitoring an optical fiber vibration signal of the test piece during the movement of a test wheel and a strain change of the test piece during the movement of the test wheel in real time through a strain acquisition instrument; processing the optical fiber vibration signal and the strain change by using matlab data analysis software; analyzing the data change trend according to the processed optical fiber vibration signal and the strain change, and establishing a mathematical relationship between the two; and according to the mathematical relationship, distributed monitoring of the permanent deformation of the asphalt pavement under the moving load by the optical fiber vibration signals is realized. By the adoption of the bituminous pavement distributed optical fiber permanent deformation monitoring method under the moving load, real-time, dynamic, large-range, long-distance and high-precision monitoring of bituminous pavement permanent deformation is achieved, and the defects in the prior art are overcome.

A heart treatment system is disclosed capable of diagnosing one or more critical regions of interest for a biological rhythm disorder by sensing signals from biological tissue. If a critical region is not present at the current location of sensed signals, the system is capable of indicating a guidance direction in which to navigate to reach one or more critical regions. Ablation energy is delivered to treat said region of interest. Signals are again sensed and analyzed to assess the impact of treatment. This process is repeated until all critical regions of interest are treated. In some embodiments, all functionality is provided by a single sensing and treating catheter with display device and analytical software.