15 results about "Total measurement" patented technology

A procedure for correcting a time variable (x) is used. spm ) described, which characterizes a reception time of an echo light pulse received during a LiDAR measurement in a temporal reference frame (40). The received echo light pulse originates from a scanning light pulse transmitted by a transmitter of the LiDAR system and reflected at at least one target. A measurement center point time parameter (x spm The temporal center point of the received echo light pulse is determined. A total measurement intensity quantity (A) is determined, which characterizes the total intensity of the received echo light pulse. A measurement pulse width quantity (w) is determined, which characterizes the temporal duration of the echo light pulse reception. An expected total intensity quantity (A) is determined. e ) is specified, which characterizes the total intensity of an ideal echo light pulse. An expected pulse width quantity (w) e) is specified, which characterizes the time length of the ideal echo light pulse. A center-of-mass correction parameter (Δ) sp ) is calculated using the total measured intensity (A), the measured pulse width (w), and the expected total intensity (A e ) and the expected pulse width size (w e ) determined. A corrected center of gravity time parameter (x spk ) is derived from the measurement center time parameter (x spm ) and the center of gravity correction quantity (Δ sp ) determined.

This invention discloses a method, apparatus, device, and storage medium for measuring repeatability using a corneal topography instrument. The method includes the following steps: performing multiple independent and repeated measurements on the same test surface using a corneal topography instrument to obtain multiple sets of corneal topography data; calculating the single-point standard deviation of each measurement point within the measurement area based on the multiple sets of corneal topography data to characterize the single-point repeatability of each measurement point; assigning an area weight value representing its spatial representativeness to each measurement point; and performing a weighted calculation based on the single-point standard deviation of each measurement point and its corresponding area weight value to obtain the overall measurement repeatability index of the corneal topography instrument. This invention overcomes the shortcomings of existing technologies that use the maximum single-point standard deviation to characterize repeatability, which is susceptible to gross errors, and provides a more comprehensive and objective repeatability evaluation scheme.

A method for determining a characteristic bit-flip time of a quantum qubit in a superconducting quantum device, comprises the following operations: a) initializing an idling time and a probability density function (P) of bit-flip time testing parameters (θ) according to a first probability distribution (p), said bit-flip testing time parameters (θ) comprising at least a decreasing lifetime rate (Γz) said probability density function (P) of bit-flip time testing parameters (θ) being a Poisson distribution with the probability of observing a total measurement outcome y = ∑i yi   being given by (see formula (I)), where p0 / 1 is a function comprising a component of the type e-Γzt, said probability density function of bit-flip time testing parameters (θ) being stored on a grid of values for the bit-flip time testing parameters (θ), b) preparing a physical qubit in a chosen state, c) idling for a duration derived from the idling time, d) obtaining a bit-flip measurement (y) by reading the state of the physical qubit, e) updating the probability distribution function of bit-flip time testing parameters (p(θ)) using the measurement (y) of operation d), the idling time of operation c), and with the formula p(θ) = p(θ)p(y|θ,t) / p(y,t), f) calculating an estimated information gain for each possible measurement time using the updated probability distribution function of bit-flip time testing parameters (p(θ)) of operation e), from the information gain equal to the difference between the Shannon entropy of the probability distribution function of the decreasing lifetime rate (p(Γz)) and the Shannon entropy of the conditional probability distribution function of the decreasing lifetime rate knowing the measurement of operation d) and the idling time (p(Γz|(y,t)), or an estimated information flow with the information flow which is a function of the information gain and the idling time, g) defining a new idling time as the value of time which maximizes the estimated information gain or the estimated information flow of operation f), h) Returning the bit-flip testing time parameters (θ) if p(θ) satisfies a return condition derived from the evolution of the decreasing lifetime rate (Γz), and / or comparison with a return threshold, and else repeating steps b) to g) with the idling time of operation g) and the probability distribution function (p) of bit-flip time testing parameters (θ) of operation e).

The application discloses a high-precision positioning method and system for land surveying, and relates to the technical field of land surveying. The method introduces a terrace step line segment set in the land surveying process, and constructs a terrace step section based on a plurality of boundary points continuously collected. The geometric relationship of the boundary points is modeled as a whole by using the consistency feature of the step extension direction and the stability feature of the step height level, so that the positioning result is no longer dependent on the instantaneous satellite positioning solution accuracy of a single boundary point, but can fully utilize the regular geometric structure of the terrace terrain itself to constrain and analyze the boundary points. In this way, in a complex measurement environment with shielding, multipath effect or satellite signal fluctuation, the influence of single-point anomalies on the overall measurement result can be effectively reduced, and the stability and reliability of the terrace boundary measurement result in terms of direction continuity and height consistency can be improved.

This invention discloses a settlement monitoring device for building foundations, relating to the field of foundation monitoring technology. It includes a mounting plate assembly with a height adjustment component, a settlement component, a numerical amplification component, and a snap-fit ​​component on its top surface. The mounting plate assembly includes a base plate and four threaded rods. The bottom of the height adjustment component is connected to the top surface of the base plate, and the height adjustment component is used to adjust the vertical height of the settlement component. The top of the height adjustment component is connected to the bottom of the settlement component, and the outer periphery of the settlement component is connected to the bottom of the numerical amplification component. The numerical amplification component is used to convert the settlement value of the settlement component into a visual value for display. This invention incorporates an amplification structure that can achieve ultra-high magnification of displacement, adapting to the monitoring requirements of high precision and minimal settlement, making minute settlement displacements clearer. Furthermore, the simultaneous operation of two amplification structures in the device reduces errors and improves overall measurement accuracy.

The application discloses a method for matching the oxide skin state and the shot blasting performance of Q355 grade engineering machinery steel, which comprises the following steps: S1, taking two samples with the same size, measuring the residual area S1 of the oxide skin of the A sample by using a 3D profile measuring instrument, measuring the total measurement area S0, and testing the adhesion F of the B sample by using an adhesion pull tester; S2, cutting a metallographic analysis sample from the A sample, polishing and polishing the cross section, and then corroding the cross section by using 4% nitric acid-alcohol metallographic liquid, observing the cross section morphology by using a metallographic microscope, and measuring the total thickness T of Fe3O4 and FeO; S3, comprehensively analyzing the shot blasting performance of the oxide skin according to the residual area S1 of the oxide skin, the adhesion F and the thickness T of the oxide skin, and selecting a proper shot blasting process according to the analysis result. The method has the advantages that the shot blasting performance of the oxide skin can be quantitatively evaluated, the evaluation result is matched with the shot blasting pellet size, and the shot blasting effect of the oxide skin is greatly improved.

The present application relates to the technical field of wireless communication, in particular to a wireless channel measurement time slot scheduling method under multi-wearable device concurrency. The present application periodically acquires the state and distance information of the intelligent wearable device through the base station, dynamically allocates the measurement priority, and determines the total measurement time slot quantity according to the priority. Time slot allocation is adopted, combined with the priority polling mechanism, to allocate non-overlapping AoA / CS measurement time slots for each device, and the starting time and duration are issued through the wireless control channel to guide the device to transmit the measurement signal in the corresponding time slot. The present application solves the wireless channel measurement conflict problem when multiple nodes concurrently access, and through orthogonal allocation and dynamic resource configuration, the balance between high-precision spatial perception and low-power consumption of small-sized wearable devices is considered while reducing the air interface signal collision.

The present invention relates to the field of ship engineering, and specially discloses a method for measuring space angle of a dredger draghead pipe, wherein the method collects in real time the motion data of the hull and the draghead pipe, removes high-frequency noise through median filtering, extracts features and constructs a comprehensive feature vector, separates nonlinear influences of hull motion and draghead pipe attitude by a fuzzy inference system, and then based on the real-time error feedback, corrects the attitude estimation, and dynamically optimizes the estimation and corrects system bias through Bayesian estimation and a particle filtering algorithm, thereby improving measurement accuracy; the system also evaluates the overall measurement accuracy by means of a machine learning model, and automatically adjusts measurement parameters and procedures to improve system adaptability and robustness; for inaccurate measurement results, the system will analyze the causes and perform space angle measurement again to ensure long-term stable operation.

Method for determining navigation data in a vehicle (104) with a GNSS system (102), wherein the method models a measurement noise of a vertical velocity of a vehicle (104) and the method comprises at least the following steps: a) Modeling a constant part of the measurement noise of the vertical velocity, reflecting the vehicle's driving situations (104) with a vertical dynamics; b) Modeling a time-varying part of the measurement noise of the vertical velocity, wherein the time-varying part is dependent on a vehicle state and reflects driving situations of the vehicle (104) with a higher vertical dynamics compared to the vertical dynamics in step a); c) Determining a modeled total measurement noise (R) neu) as a combination of the constant part of the measurement noise determined in step a) and the time-varying part of the measurement noise determined in step b); and d) Determining the navigation data taking into account the modeled total measurement noise (R) neu ).

The application discloses a kind of vertical prism pole stability examination method, measurement process is as follows: using existing prism pole to design a joint, the function of joint is to connect prism pole and target ball, recess bottom is designed with magnetic block, to attract target ball, make target ball and recess closely cooperate;Joint is installed on prism pole, target ball is placed on joint recess;Vertical prism pole is to specified position, while making that spirit bubble is centered, and ensure that target ball and laser tracker are in light state;Using laser tracker, measure once every interval, total measurement is more than 3 times;From multiple measurement results, find out the distance of the most distant 2 measurement points, calculate its distance, the distance is the maximum deviation value of personnel vertical prism pole, and the stability of personnel vertical prism pole can be measured by the deviation value.

The application relates to the technical field of semiconductor device testing, and discloses a wide-frequency-range semiconductor device low-frequency noise precise measurement method, which comprises the following steps: bias voltage is applied to a device to be tested, and current is collected; a thermal equilibrium state is determined by calculating a current change rate; when the change rate meets a stability threshold, measurement is triggered, and thermal drift interference is eliminated. In response to a trigger signal, a load switching unit is controlled to access an impedance-matched equivalent resistance network; under the condition of maintaining device direct-current power supply and junction temperature thermal equilibrium, system background noise spectrum is collected in situ. Then, a total frequency band is divided into multiple sub-frequency bands, a preamplifier gain and a sampling rate are adjusted in cooperation, original data are acquired, and a full-frequency-band total measurement noise spectrum is synthesized. Finally, background noise spectrum is subtracted from the total spectrum to obtain a net noise power spectral density, and defect parameters are extracted by using a physical model. The application effectively expands the dynamic range of high-frequency measurement, and improves the detection precision and physical characterization capability of weak defect signals.

This invention discloses a method for measuring the overhead of MPI broadcast operations based on system bias elimination, comprising the following steps: traversing all processes and sequentially selecting a root node; all processes other than the root node are considered non-root nodes; performing synchronization operations on all processes starting from the root node to ensure that the root node is the last to exit the synchronization barrier; the root node broadcasting MPI to other processes and recording the broadcast start time using a local timer; all processes recording the broadcast end time using a local timer and calculating the difference between the broadcast end time and the broadcast start time; repeating the step of traversing all processes and sequentially selecting a root node until all processes have been traversed; accumulating the differences corresponding to all processes to obtain the total measurement time; and performing global data reduction on the total measurement time to obtain statistical data for all processes. This invention eliminates the need for hardware synchronization and completely cancels out process clock differences during the accumulation calculation, providing a reliable basis for MPI library performance optimization.

This invention relates to the field of water environment monitoring technology and discloses a low-power water quality monitoring method and system. The method includes: collecting basic judgment parameters of the target water body; determining the estimated values ​​of each target water quality parameter based on the historical correspondence between the basic judgment parameters and the target water quality parameters; determining the prediction center value and prediction confidence interval by combining the most recent measured verification value and the time interval; determining the parameter to be verified according to the prediction confidence interval, the warning threshold, and the width threshold; selecting the sensor corresponding to the parameter to be verified and powering it on to measure, obtaining the verification measurement value; updating the prediction confidence interval of the remaining target water quality parameters based on the verification measurement value; terminating the measurement when none of the prediction confidence intervals contain the warning threshold and the width is not greater than the corresponding width threshold; otherwise, triggering an alarm or storing the results. This invention can reduce the overall measurement power consumption and communication power consumption, and improve the energy utilization efficiency under off-grid power supply conditions.

The present application relates to the technical field of wireless communication, in particular to a wireless channel measurement time slot scheduling method under multi-wearable device concurrency. The present application periodically acquires the state and distance information of the intelligent wearable device through the base station, dynamically allocates the measurement priority, and determines the total measurement time slot quantity according to the priority. Time slot allocation is adopted, combined with the priority polling mechanism, to allocate non-overlapping AoA / CS measurement time slots for each device, and the starting time and duration are issued through the wireless control channel to guide the device to transmit the measurement signal in the corresponding time slot. The present application solves the wireless channel measurement conflict problem when multiple nodes concurrently access, and through orthogonal allocation and dynamic resource configuration, the balance between high-precision spatial perception and low-power consumption of small-sized wearable devices is considered while reducing the air interface signal collision.