471 results about "Physical quantity" patented technology

The invention relates to the technical field of impact type water turbine spray needle abrasion tests, and discloses an impact type water turbine spray needle abrasion test method and system based on dimensionless analysis. The impact water turbine spray needle wear test method based on dimensionless analysis comprises the steps of establishing a wear analysis object, selecting a physical quantity related to wear, determining a dimension, selecting a physical quantity closely related to a target physical quantity by adopting a physical quantity optimization method, and constructing a dimensionless quantity. A more accurate wear physical model is established by selecting physical quantities directly related to spray needle wear, the model can better reflect an actual physical process, dependence on empirical data can be reduced through theoretical analysis and dimensional analysis, so that the wear prediction accuracy is improved, and compared with complex numerical simulation, the wear prediction accuracy is improved. The dimensional analysis method requires fewer computing resources, which makes it more suitable for rapid evaluation and design stages.

A physical quantity detecting device (10) detects a plurality of different physical quantities on the basis of an output signal waveform. A strain sensor (3) as one sensor element outputs a sensor signal waveform (15) having a reference level (151), a positive level positively changing from the reference level (151), and a negative level negatively changing from the reference level (151). An estimating unit (4) estimates a first physical quantity corresponding to a peak value (152) of the positive level and a second physical quantity corresponding to a peak value (153) of the negative level on the basis of the sensor signal waveform (15) output by the strain sensor (3).

The invention belongs to the technical field of industrial automation control, and discloses a PLC-based fault diagnosis method and device. The method comprises the following steps: acquiring data of target equipment acquired by a sensor through a data acquisition point; according to a preset conversion method, determining the data as a physical quantity numerical value of a corresponding physical quantity type, and storing the physical quantity numerical value to a circular buffer area with a preset time window length; determining a period according to a preset time length, and determining a plurality of characteristic values of the physical quantity values in the circular buffer area based on the data acquisition points; inputting the plurality of feature values into a pre-trained decision tree fault recognition model, and outputting a fault recognition result of the target equipment, and according to the target fault type label of the fault identification result, triggering an alarm signal, and recording a fault log of the target equipment. Whether the equipment breaks down or not can be identified based on the data during the operation of the equipment, and the fault type can be determined.

A controller of a driving device sets a target physical quantity relating to an orientation of a work device, calculates a current physical quantity relating to the actual orientation of the work device, calculates a physical quantity error between the target physical quantity and the current physical quantity, calculates an assistance operation value for assisting operation of an operator, corrects an operator operation value to an operator correction value so as to attain a small value when the physical quantity error is small as compared with when the physical quantity error is large, corrects the assistance operation value to an assistance correction value so as to attain a large value when the physical quantity error is small as compared with when the physical quantity error is large, and controls the orientation of the work device using a total value obtained by adding the operator correction value and the assistance correction value.

A processing machine (10) is provided with: a main shaft (14) that rotatably supports a cutting tool (15); a stage (16) on which the workpiece (W) is placed; a measurement unit (17) that measures a physical quantity generated by contact between the cutting tool (15) and the workpiece (W); a comparison unit (111) that calculates the depth of cutting of the workpiece (W) by the cutting tool (15) on the basis of the physical quantity, and compares the calculated depth of cutting with a reference depth of cutting; and an adjustment unit (112) that adjusts the position of at least one of the cutting tool (15), the spindle (14), and the stage (16) on the basis of the result of the comparison by the comparison unit (111).

The invention relates to a method for controlling physical quantity of underwater explosion near a naval vessel based on a multiphase flow model, and belongs to an anti-impact technology of underwater explosion near the naval vessel. According to the method, an additional correction equation related to total mixed energy is created, and a model is expanded into seven equation models. A mixed energy correction equation is introduced, and a more accurate gas state equation is combined, so that the difference between the predicted thermodynamic states under the shock wave condition is solved; an algorithm program of an improved six-equation model is provided on an unstructured grid system, a homogeneous hyperbolic equation is solved by using a second-order MUSCL-Hancock format based on least square reconstruction and a Barth-Jespersen limiter and a two-phase flow HLLC Riemann solver, and then an instantaneous pressure relaxation equation is solved by using a Newton-Raphson iteration method. By improving the six-equation model in the diffusion interface method, the interface capture precision and the numerical algorithm stability are improved.

The invention discloses a data processing method, an idle stroke eliminating method, an anti-collision method and related equipment thereof. The idle stroke eliminating method comprises the following steps: acquiring a real-time physical quantity of a main shaft when a machine tool machines a first workpiece; processing the real-time physical quantity according to a preset rule to determine a first threshold value; the first threshold value serves as a boundary threshold value when the second workpiece is machined; compared with the problem that a fixed boundary threshold value is determined depending on manual experience at present, the method comprises the steps that the real-time physical quantity of a main shaft is obtained when a machine tool machines a first workpiece; processing the real-time physical quantity according to a preset rule to determine a first threshold value; the first threshold value is used as the boundary threshold value when the second workpiece is machined, so that the boundary threshold value when the machining tool machines can be adjusted in real time.

The invention discloses a tomography reconstruction method based on a Gaussian process, and relates to the field of data analysis, and the method comprises the steps: dispersing a physical quantity region of plasma into N rectangular grids; establishing a forward modeling calculation model of the multi-dimensional measurement data according to the calculation model of the physical quantity, the to-be-reconstructed physical quantity and a preset data error; establishing a prior probability about to-be-reconstructed physical quantity distribution by using a non-stationary Gaussian process with a hierarchical model; when the data error meets independent normal distribution, establishing a conditional probability about multi-dimensional measurement data distribution by adopting multi-dimensional normal distribution; the condition probability and the prior probability are combined, and the posterior probability of the physical quantity distribution to be reconstructed is determined; according to the method, a covariance function is established, hyper-parameters in the covariance function are optimized, a gradient method is utilized to maximize the probability about the hyper-parameters, the maximum probability value of the hyper-parameters is determined, and under the maximum probability value, the maximum posterior probability estimated value and the confidence interval of the physical quantity to be reconstructed are determined through the posterior probability.

The invention discloses a surface material point embedding method for a multi-body contact problem, and belongs to the technical field of computational mechanics and numerical simulation. The method comprises the following steps: 1, performing discretization and parameter setting on a physical model of a multi-body contact system; 2, calculating a contact force; 3, transmitting the physical quantity of the material points of the contact body to background grid nodes to obtain node mass, momentum and force; 4, updating the grids; 5, updating the speed, the displacement, the stress and the density of the material point; 6, resetting the physical quantity of the background grid; seventhly, repeating the first step, the fourth step, the fifth step and the sixth step, sequentially updating the physical quantities of the material points of other contact bodies and the positions and the speeds of the slave nodes, and distributing background grid node memories of the areas where the corresponding contact bodies are located; and 8, after all contact bodies are updated, updating the current time to obtain a dynamic simulation result. According to the method, the boundary of the object can be accurately represented, complicated problems such as impact and multi-body contact can be effectively simulated, and meanwhile, the method has good stability and relatively low memory consumption.

The invention relates to a bridge model design method and system based on static and dynamic information fusion, and belongs to the technical field of bridge design, the bridge model design method based on static and dynamic information fusion comprises the following steps: obtaining physical quantities of a prototype and a reduced scale model of a bridge, and determining static dimensionless parameters based on the physical quantities and a dimensional analysis method; establishing a multi-degree-of-freedom motion equation, and determining a power dimensionless parameter based on the multi-degree-of-freedom motion equation and the physical quantity; and determining a similarity relationship between the prototype and the reduced-scale model based on the static dimensionless parameters and the dynamic dimensionless parameters, performing distortion analysis on the reduced-scale model based on the similarity relationship, determining an actual similarity relationship between the prototype and the reduced-scale model, and completing the design of the reduced-scale model based on the actual similarity relationship.

A fibre-optic sensor for measuring a physical quantity, such as a pressure, force, acceleration or tilt, includes an optical fibre having a measurement section for measuring a strain in the fibre, and first and second structural members. The optical fibre is connected to a first fibre connection section of the first structural member and to a second fibre connection section of the second structural member. The first and second connection sections are arranged on opposite sides of the measurement section, such that at least the measurement section is suspended between the first and second fibre connection sections. At least one of the structural members is movable relative to the other in dependence of the physical quantity that is measured. The structural members are made from materials having different coefficients of thermal expansion such that a temperature induced strain in said optical fibre due to a temperature change is reduced.

The machining diagnosis device (1) includes a data acquisition unit (11) that acquires a physical quantity related to the operating state of a machining machine (90) that machines a workpiece, and the machining conditions when the physical quantity is obtained, a feature quantity calculation unit (12) that calculates, for each machining condition, a statistical feature quantity of the physical quantity obtained during machining under the same machining conditions based on the physical quantity and the machining conditions, and an inference unit (16) that performs machining diagnosis based on the statistical feature quantity for each machining condition.

The invention relates to a self-adaptive control method, system and device for environment test equipment, and the method comprises the following steps: S1, data collection: collecting environment detection data and data of a corresponding actuator according to a to-be-controlled physical quantity; s2, selecting or constructing a control object according to the physical quantity to be controlled; s3, performing online identification operation when an identification condition is met, otherwise, directly executing the step S4; s4, feedforward and feedback: calculating feedforward compensation and feedback compensation according to the value of the to-be-estimated quantity, and superposing the feedforward compensation and the feedback compensation to obtain a control instruction; and S5, performing constraint allocation on the actuator: performing saturation constraint processing on the control instruction to obtain a control quantity of the corresponding actuator. Joint online identification can be carried out on the to-be-estimated quantity only through perturbation excitation; different loads and test object states are automatically adapted; saturation constraint processing is adopted; the model and the algorithm are low in calculation amount, and precision, speed and engineering realizability are considered.

The invention relates to a simulation analysis method for fluid in an SF6 circuit breaker arc extinguish chamber by introducing electromagnetic thermal influence, and relates to the technical field of simulation analysis for fluid in the circuit breaker arc extinguish chamber. The method comprises the following steps: acquiring a target physical quantity; the target physical quantity is a physical quantity directly related to a control equation of the fluid region; the target physical quantity comprises a Joule calorific value of the high-voltage current and a Lorentz force value generated by the current changing along with time; constructing a fluid simulation model in the arc extinguish chamber according to the target physical quantity; solving the simulation model of the fluid in the arc extinguish chamber based on a real parameter fitting interpolation mode to obtain a simulation analysis result corresponding to the simulation model of the fluid in the arc extinguish chamber; the simulation analysis result is used for evaluating the performance of the SF6 circuit breaker. By adopting the method, the modeling efficiency and the simulation effect can be improved.

The present invention provides a flying apparatus that can accurately measure a weight of a transported objected in a simple configuration. The flying apparatus 10 includes rotors 11, motors 12, a flight sensor 13, an electric power conversion unit 14, and a computation control unit 15. The flight sensor 13 measures physical quantities acting on a fuselage base portion 16. The computation control unit 15 generates instruction signals based on the physical quantities to cause the fuselage base portion 16 to be at a predetermined position in a predetermined attitude. The electric power conversion unit 14 adjusts amounts of electric power supplied to the motors 121 and the like based on the received instruction signals. Moreover, the computation control unit 15 calculates an estimated weight that is an estimation value of a weight of the transported object, based on magnitudes of the instruction signals.

The invention discloses a food plastic package seal online detection method and system, and relates to the technical field of food package quality nondestructive detection.The method comprises the steps that based on a multi-physical-quantity data set, amplitude attenuation parameters in acoustic data are extracted, and food plastic package thickness distribution is scanned; dynamically correcting the amplitude attenuation parameter through a sound wave energy absorption model to obtain calibrated acoustic data; inputting the physical quantity matrix into a pre-trained convolutional neural network model, outputting a multi-scale feature map, analyzing multi-modal feature association of the physical quantity matrix through an attention fusion mechanism, and outputting a defect probability score; and according to the defect probability score, detecting the sealing state of the seal, removing the invalid food plastic package, integrating multi-source data to generate a structured detection log, and optimizing a convolutional neural network model through back propagation to generate a detection report. According to the invention, the recognition capability and classification precision of complex defects are enhanced, and precise judgment and efficient sorting of the sealing state of the seal are realized.

The invention relates to the technical field of physical quantity measurement, and discloses a multi-physical quantity measurement method and device for a passive multi-parameter optical fiber sensing unit, and the method comprises the steps: synchronously collecting temperature, humidity, air pressure and inclination angle four-parameter optical signals, calculating a time sequence cross correlation function in real time, and quantifying the parameter coupling strength and causal conduction time delay; constructing an initial weighted causal map based on the time sequence causal index, automatically detecting a chain enhancement path, positioning an initial abnormal node, and iteratively predicting a subsequent fault probability; drawing a dynamic arrow chain along an enhanced path in the three-dimensional digital twin model by taking the initial abnormal node as a starting point, and rendering according to a fault probability; according to the method, discrete multi-physical-quantity abnormal signals are converted into topological and visual causal chains, full-link transparent mapping of abnormal sources-propagation paths-potential fault nodes is achieved, and the pre-judgment precision and operation and maintenance decision timeliness of the state evolution trend of a complex structure are remarkably improved.

The invention relates to the technical field of big data analysis and application operation and maintenance, and discloses a multi-data fusion-based application operation and maintenance planning method, which comprises the following steps of: combining multi-source sensor data into a multi-dimensional state vector representing a local space-time state, and comparing the multi-dimensional state vector with a baseline vector representing a normal operation mode to generate a drift vector; according to the method, the stability of the correlation mode in the multi-dimensional data is analyzed, and then the stability of the modulus length and the direction of the drift vector in the time sequence is analyzed, so that potential risks which cannot be perceived by a traditional threshold value mode can be recognized. The focus point of risk recognition is transferred from isolated value out-of-limit to analysis of the stability of the correlation mode in the multi-dimensional data; the early gradual change risk formed by the synergistic effect of a plurality of physical quantities can be effectively identified, and the risk source can be traced based on the analysis process, so that the predictability and decision reliability of operation and maintenance planning are remarkably improved.

The invention provides a method for determining the horizontal displacement and internal force of adjacent pile foundations in a loose area caused by excavation, shield tunnel excavation disturbs surrounding soil to cause the loose area of surrounding strata, it is assumed that the soil in the loose area does not support the existing pile foundations, and a Vlasov two-parameter foundation model is combined to determine the horizontal displacement and internal force of the adjacent pile foundations in the loose area. A calculation model considering the horizontal displacement of the adjacent pile foundation caused by shield excavation in the loose area is established, and the method for determining the horizontal displacement and the internal force of the adjacent pile foundation in the loose area caused by excavation is provided on the basis of a Fourier series method and used for calculating the horizontal displacement and the internal force of the pile foundation caused by shield adjacent pile foundation construction. According to the method, the physical quantity needing to be calculated can be obtained by substituting the corresponding calculation parameters, the calculation process is simple and convenient, other undetermined coefficients can be further obtained only by solving the two unknown quantities of the horizontal displacement wO and wL of the pile end, and the calculation efficiency is high.

To provide a waveform output device capable of causing a waveform to be suitably displayed even when a data volume of measurement results is large.SOLUTION: A waveform output device 1 outputs a waveform that represents a change over time in a measurement result of a physical quantity to be measured via communication. The waveform output device 1 acquires measurement data that represents a measurement result of a predetermined physical quantity, generates waveform data that indicates a waveform from the measurement result of the obtained measurement data, and outputs the waveform data to a user terminal for causing the user terminal used by a user to display the waveform. At this time, the waveform output device 1 extracts a part of the measurement result included in the measurement data based on a predetermined condition, generates partial waveform data that indicates a partial waveform from a part of the extracted measurement result, and outputs the partial waveform data to the user terminal.SELECTED DRAWING: Figure 5

The invention relates to the technical field of machine vision and optical measurement mechanics, and discloses a deformation identification and measurement method based on machine vision and deep learning, and the method comprises the following steps: S1, system calibration and base library construction; s2, offline training of the hybrid model; s3, real-time decoupling and coefficient regression are carried out; and S4, final assembly and physical quantity calculation of the deformation field. According to the method, a deformation field is decoupled into a global nonlinear deformation field () and a residual deformation field () through S3, and the global nonlinear deformation field () and the residual deformation field () are superposed. The physical significance and the stability of a deformation main body are ensured by utilizing the physical deformation base library constructed in S1 and model reconstruction; meanwhile, a luminosity residual image () generated in the S3 is used for driving module reconstruction, local high-frequency disturbance which is not covered by a physical model is accurately compensated, a high-dimensional deformation field is decoupled into low-dimensional global physical prior regression and residual correction, and efficient real-time measurement is achieved; meanwhile, numerical difference is replaced by analytic derivation, so that the signal-to-noise ratio and the measurement precision of the strain field are remarkably improved.

To provide an information processing device, a control method, a program and a storage medium that stores the program, with which it is possible to suitably generate information even at fault occurrence time.SOLUTION: A computation block 17 of a control unit 13 generates first measurement information generated on the basis of a first combination, out of measured physical quantities measured by a plurality of sensors (detection units) that respectively measure the measured physical quantities of mutually different measurement objects, and second measurement information generated on the basis of a second combination different from the first combination. A abnormality determination block 18 of the control unit 13 detects the abnormality of each individual measured physical quantity. An output control block 19 of the control unit 13 controls the output of measured information, out of the first and second measured information, that is measured by the sensor (detection unit) having measured the measured physical quantity for which abnormality was detected by the abnormality detection block 18.SELECTED DRAWING: Figure 4

The invention discloses a two-dimensional variational data assimilation method based on comprehensive advection constraint, and belongs to the technical field of data assimilation processing, and the method comprises the following steps: obtaining target quantity background field data and satellite or buoy scatter observation data at the target depth of a target sea area under the corresponding target time, and carrying out the horizontal processing of the obtained data; constructing a cost function, specifically, introducing an advection constraint term into a traditional cost function; the cost function is minimized through a conjugate gradient method, the obtained analysis result is a flat field, the flat field is superposed with an original background field, and a finally reconstructed target quantity analysis field is obtained and serves as a forecast initial field. According to the method, firstly, the obtained data is subjected to distance leveling processing, so that the influence of a long-term average state in the data is eliminated, and the assimilation accuracy is improved; and meanwhile, an advection constraint term is introduced into the cost function, so that physical consistency of assimilated physical quantities can be kept when the assimilated physical quantities move along with the fluid, and the precision of data forecasting is improved.

To provide a flight device that can measure a weight of a transported object accurately with a simple configuration.SOLUTION: A flight device 10 is provided with a rotor 11, a motor 12, a flight sensor 13, a power conversion unit 14, and a computational control unit 15. The flight sensor 13 measures a physical quantity acting on an airframe base 16. The computational control unit 15 generates an instruction signal on the basis of the physical quantity so that the airframe base 16 assumes a prescribed position and attitude. The power conversion unit 14 regulates an amount of electric power supplied to the motor 121 and the like on the basis of the inputted instruction signal. Additionally, the computational control unit 15 calculates an estimated weight, that is, an estimated value of a weight of a transported object, on the basis of a magnitude of the instruction signal.SELECTED DRAWING: Figure 3

The invention relates to a filtering method (200) for a leak test cycle of a certain type of object to be tested, for constructing a database capable of determining at least one reference value relating to a leak test of said object type, in particular suitable for an early leak detection method; the invention relates to a method (200) for measuring a test cycle comprising the measurement of a physical quantity related to the degree of leakage in at least one part of an object to be tested or in a peripheral cavity of the object to be tested, said method (200) comprising at least the following steps: determining (E2) a deviation between the measured values of the physical quantity at the starting time and the ending time of the test cycle, referred to as a total deviation; the total deviation is compared (E3) with a total deviation reference value.

The invention provides a time step determination method and device for solving a physical quantity of a transient physical process. The method comprises the following steps: acquiring first time step iteration information corresponding to a historical moment in the transient physical process; the first time step iteration information is used for representing the condition of iteratively updating the time step in the process of solving the convergence solution corresponding to the target physical quantity and the historical moment; the target physical quantity is a to-be-solved physical quantity in the transient physical process; determining a first predicted time step corresponding to the current moment according to the first time step iteration information corresponding to the historical moment and the first predicted time step corresponding to the previous moment; and iteratively updating the first prediction time step corresponding to the current moment to obtain a target time step enabling the target physical quantity to converge with a solution corresponding to the current moment. According to the method, the time step length enabling the physical quantity to converge in the transient physical process can be quickly determined.

A physical quantity sensor assembly, an inclinometer, and a structure monitoring device are provided, offering a technique for correcting nonlinearity in the output signal of the physical quantity sensor without increasing the size of the physical quantity sensor assembly. The physical quantity sensor assembly (1) comprises: a frequency-varying physical quantity sensor (3) whose frequency varies according to the change of the physical quantity; a reference signal oscillation unit (5) that outputs a reference signal; a frequency Δ-Σ modulation unit (10) that generates a frequency Δ-Σ modulated signal by frequency Δ-Σ modulation of the reference signal using an action signal based on the measured signal output by the frequency-varying physical quantity sensor (3); a first low-pass filter (20) disposed on the output side of the frequency Δ-Σ modulation unit (10) and operating synchronously with the measured signal output by the frequency-varying physical quantity sensor (3); and a second low-pass filter (60) disposed on the output side of the first low-pass filter (20) and operating synchronously with the reference signal.

The present invention relates to an annular device capable of measuring the magnitude, direction and action point of multi-dimensional force, characterized in that it comprises an outer ring elastic body, an inner cylindrical elastic body, connecting elastic ribs, flexible electrodes, a hemispherical elastic body and a capacitance measurement module; the present invention uses four cross-shaped connecting elastic ribs to make the floating inner cylindrical elastic body displace relative to the fixed outer ring elastic body when subjected to force, thereby realizing the physical quantity conversion from force to deformation; at the same time, the flexible electrodes are divided into four groups, each group includes two flexible electrode sheets of the same size, and each group of flexible electrode sheets is respectively attached to the inner surface of the outer ring elastic body and the outer surface of the inner cylindrical elastic body, thereby realizing the physical quantity conversion from deformation to capacitance value change; each group of flexible electrode sheets is respectively connected to the capacitance measurement module by wires, thereby realizing the detection of four groups of capacitance changes. The present invention has the characteristics of arbitrary force direction, simple structure and simple calculation process.

The invention relates to a method and a device for determining a digital value indicative of a physical quantity to be measured. A method (1000) of providing a digital value (Dout) indicative of a physical quantity to be measured by a sensor circuit or bridge circuit having two excitation nodes (E1, E2) and at least one output node (RO1, RO2), the method comprising the steps of: a) applying (1002) a time-varying bias signal to the excitation nodes, such that at least one output node provides a time-varying output signal (Vp, Vn); b) determining (1003) a first time value (T1) or a first count value (N1) or a first index (Index1) associated with a first event (event1) at which the first output signal (Vp) exceeds the first threshold signal (Vt1); c) providing (1004) a digital value (Dout) indicative of the physical quantity to be measured based on the at least one time value (T1) or count value (N1) or index value (Index1).

The invention relates to a microsensor (10) for measuring a physical quantity (14), comprising a first measuring element (16) with a first measuring characteristic (C1) and a second measuring element (56) with a second measuring characteristic (C2), which is mechanically delimited and offset from the first measuring area (54) by means of a second measuring characteristic (C2), and a second measuring element (18) with a micromechanical first deflection element (18) which is deflectable depending on the quantity (14), and a second measuring element (28) which is measurable in a third measuring area (52) with a third measuring characteristic (C3), wherein the third measuring area (52) overlaps a transition (53) between the first and second measuring areas (54, 56) and forms a first overlap area (58) with the first measuring area (54) and a second overlap area (60) with the second measuring area (56).wherein the measured quantity (14) present at least at the transition (53) can be measured by measuring the second measuring element (28) based on the third measuring characteristic (C3). Furthermore, the invention relates to a method for measurement and a method for sensor condition monitoring.