148 results about "Total measurement" patented technology

The invention relates to the technical field of machine vision, in particular to a calibration method and device for an industrial machine vision measurement system, and the method comprises the following steps: collecting error data through a glass linear scale and a circular target, constructing a standardized calibration data set, obtaining a global error gradient field, a residual error trend map and a residual error weight coefficient table, and obtaining a standard calibration data set; and fusing the size compensation value and the directivity correction value, constructing a calibration matrix, and obtaining a system calibration result. According to the method, through fusion modeling of multi-source error data, the recognition precision of the system on error sources is improved, gradient field construction and trend graph extraction are combined, the directionality and spatial continuity of error compensation are enhanced, and a weight coefficient distribution mechanism is utilized, so that differential control on dynamic and static error influence is realized; and a calibration matrix with multi-dimensional parameter fusion is adopted to optimize the consistency and adaptability of the overall measurement precision, so that the system keeps stable error correction capability and calibration accuracy in a complex environment.

“THREE-DIMENSIONAL MONITORING SYSTEM FOR KINGPIN ON FIFTH WHEEL” describes an invention patent, for a monitoring system of Kingpin / Fifth Wheel articulation presented on trucks, with a great applicability for autonomous steering systems and vehicle dynamics control. This system allows the precise monitoring of translational, rotational movements and the relative accelerations of the king pin (5) in relation to the fifth wheel (3) on the X, Y and Z axes, totaling measurements in six degrees of freedom. The present patent presents two ways to make this monitoring of the three-dimensional position of the kingpin (5): The first through a set of sensors (6) accelerometers and gyroscope integrated to an electromagnet (4) that when electrified, is coupled to the king pin (5) by magnetic attraction. The second mode through a reference device (20) that is magnetic, identifiable, independent and easy to apply to the kingpin (4).

The invention discloses a temperature influence compensation method and system in a passive bolt monitoring system, and belongs to the technical field of structural health monitoring, and the method comprises the steps: obtaining a resonant frequency signal of a passive bolt monitoring sensor and temperature data, collected by a preset distributed temperature sensing network, of a plurality of monitoring points; reconstructing a two-dimensional temperature field cloud picture of the bolt connection area through interpolation calculation; extracting an equivalent comprehensive temperature rise value from the temperature field distribution, and performing preliminary compensation on the resonant frequency signal to generate a preliminary strain value; calculating a virtual thermal strain value generated by temperature influence; and performing decoupling operation on the initial strain value based on the virtual thermal strain value to obtain a compensated real mechanical strain value, and accurately separating the real mechanical strain from the total measurement strain by adopting a method of reconstructing a two-dimensional temperature field of a bolt connection area and calculating a decoupling virtual thermal strain by utilizing a finite element analysis micro-simulation model. Therefore, the accuracy and reliability of bolt pre-tightening force monitoring are improved.

The invention relates to the field of performance testing of high-precision fiber-optic gyroscopes, and discloses an automatic testing method and system for the extinction ratio of a high-precision fiber-optic gyroscope, and the method comprises the following steps: constructing a signal light path and a reference light path, and combining the output light of the signal light path and the reference light path into a combined light signal in an orthogonal polarization state; integrally measuring the extinction ratio of the combined optical signal by using an extinction ratio tester to obtain a measured value; the control unit compares the measured value with a target value of 0dB and generates a control instruction based on a difference value; the voltage controller automatically adjusts the voltage of the integrated optical modulator in the signal light path according to the instruction, and iterative optimization is carried out through closed-loop feedback until the actually measured extinction ratio reaches a target value; and finally recording and solidifying the optimal voltage value. According to the invention, single and accurate extinction ratio overall measurement is used for replacing two times of error-prone independent optical power measurement, full-automatic closed-loop control is realized, the precision, efficiency and consistency of optical power balance are remarkably improved, and the skill requirements on operators are reduced.

The invention provides a method and device for determining scattering parameters based on deep learning, a medium and a product, and the method comprises the following steps: obtaining to-be-processed scattering parameters obtained through the overall measurement of a to-be-tested device and a test fixture; the scattering parameters to be processed are input into a pre-trained parameter optimization model, a physical constraint framework is introduced when the parameter optimization model is trained to ensure that a prediction result conforms to physical laws such as causality, stability and passivity, and a physical constraint loss function and a frequency adaptive weighting strategy are adopted; obtaining an equivalent model which is output by the parameter optimization model and corresponds to the scattering parameter to be processed; and obtaining a target scattering parameter corresponding to the to-be-processed scattering parameter according to the equivalent model. According to the method, a physical constraint framework is introduced, so that the problem that a traditional 2xthru de-embedding method is in a high-frequency region (especially S11gt; s21), and physical rationality and stability of the result are ensured at the same time.

The invention provides a low-noise speckle interference system and method based on a polarization camera, and relates to the technical field of speckle interference. According to the low-noise speckle interference system, a polarization camera and a speckle interference system are combined, so that a single speckle interference pattern comprises four different polarization state channels, in the image processing process, the complex amplitude difference before and after deformation is averaged, information fusion of the four channels is achieved, and the speckle interference pattern is obtained. The standard deviation of the speckle interference noise can be reduced to the original # imgabs0 #, so that the suppression effect of the speckle interference noise is greatly improved; in the aspect of data processing, only one-step averaging operation is added compared with a traditional speckle interference technology, the influence on the overall measurement speed is small, and the flexibility is excellent; in addition, by reducing the speckle noise standard deviation, the requirement of the speckle interference technology for a filtering algorithm is reduced, and the practicability of the speckle interference technology is improved.

The embodiment of the invention relates to a method, a system and a device for automatically determining the risk priority of a digital identity network. The method comprises the steps that graph data defining a knowledge graph are obtained, the knowledge graph comprises nodes and edges, the nodes represent objects of an enterprise network, and each edge represents the relation between the objects; determining priority scores for the objects, including, for a first object represented by a first node, determining a recessive risk score for the first node; determining a total risk score of the first node; and determining a priority score of the first node according to the total risk score and an attribute associated with the first node; generating a ranking of the objects according to the priority scores; and providing cyber-security risk data indicating the ranking of the object for display on the display. The disclosed techniques may be used to calculate the propagation of total measurement risk within a given tissue. The network security system may utilize the measured risk to automatically determine priority and implement security control.

The invention provides a fault diagnosis method, device and equipment for a high-precision wide-range electric energy meter, and relates to the technical field of fault diagnosis. The method comprises the following steps: acquiring measurement error data of the electric energy meter under various test conditions; wherein each test condition comprises a changing electromagnetic environment condition and a temperature condition; based on the weight of each test condition, performing weighted fusion on the measurement error data to obtain comprehensive error data of the electric energy meter; if the comprehensive error data is not in the credible interval, determining that the electric energy meter has an integral fault, analyzing the source and contribution degree of the comprehensive error data based on an uncertainty evaluation model, and determining a fault component; wherein the uncertainty evaluation model is used for representing the contribution relation of each error source item to the total measurement uncertainty. According to the invention, comprehensive, accurate and efficient fault diagnosis of the high-precision wide-range electric energy meter can be realized, and the reliability and accuracy of electric power metering are guaranteed.

The invention provides a ship block pose accurate measurement and calculation method, which comprises the following steps: step 1, carrying out measurement point location arrangement, including selection and arrangement of key measurement points, selection and arrangement of relative measurement points on the side surface of a block, and selection and arrangement of common reference points; 2, based on the measurement points in the step 1, block data measurement is carried out, and point position measurement is carried out based on the constructed coordinate system; step 3, carrying out coordinate transformation on the measurement data, and solving the relevance between two coordinate systems; and 4, calculating the pose of the block based on a three-point method and an improved ICP (Inductively Coupled Plasma) to obtain the pose information of the block. According to the method, the arrangement scheme of key measurement points, public reference points and an overall measurement system is designed in combination with block alignment characteristics, so that a high-precision measurement system is built; a mode of combining initial matching of a three-point method and an improved ICP algorithm is proposed to solve the pose of the total segment; quicker and more accurate matching is realized, and the iteration rate and the matching precision are respectively improved.

The invention discloses a quantum compatibility optimization method for molecular Hamiltonian measurement. The method comprises the following steps: determining a Fouli item set and a normalized weight coefficient corresponding to each Fouli item in the Fouli item set according to a to-be-simulated target molecule; then, according to a local compatibility rule and the normalized weight coefficient, local compatibility grouping is conducted on the Fouli item set, a target group is determined, and the local compatibility rule is used for judging whether two Fouli items in the Fouli item set can be classified into the same group or not; and finally, realizing quantum compatibility optimization of molecular Hamiltonian measurement according to target grouping. Therefore, local compatibility grouping can be carried out based on the local compatibility rule and the normalized weight coefficient, and the flexibility of grouping is improved. Moreover, the relative contribution of each bubble item to the total energy of the molecular Hamiltonian can be determined according to the normalized weight coefficient, and the number of measurement times is reasonably distributed, so that the overall measurement variance is reduced, and the quantum calculation cost is reduced.

The invention discloses a cascade cooperative measurement method for electromagnetic ultrasonic thickness measurement modules, which is characterized by comprising the following steps of: (1) forming a cascade measurement system by adopting a plurality of electromagnetic ultrasonic thickness measurement modules, and connecting the modules through cascade interfaces, the electromagnetic ultrasonic thickness measuring modules are sequentially defined as a first channel module, a second channel module,..., and an nth channel module along a cascade sequence; (2) the channel modules are sequentially staggered to enter an ultrasonic transmitting and receiving work cycle; and (3) transmitting trigger pulse signals at intervals by each channel module in a mode of gradually increasing interval time in an ultrasonic transmitting and receiving work period, and performing ultrasonic transmitting and receiving work. According to the cascade cooperative measurement method, cooperative measurement of multiple channel modules can be realized, the overall measurement efficiency can be improved while mutual interference of the channel modules can be avoided, and the cascade cooperative measurement method is adaptive to the multi-measurement-point high-speed scanning requirement of a large component.

A method for performing radar measurements using a radar system, in particular an ultra-wideband radar system, especially a vehicle radar system, is described. At least two radar measurement sequences (48 A 48 B 48 C 48 D 48 E ) are executed, whereby in at least two radar measurement sequences (48 A 48 B , 48c, 48 D 48 E ) Radar signals with different center frequencies are sent and with each radar measurement sequence (48 A 48 B 48 C 48 D 48 E ) individual measurement information (22 A , 22 B , 22 C , 22 D , 22 E ) is determined. The individual measurement information (22 A , 22 B , 22 C , 22 D , 22 E ) of at least two of the radar measurement sequences (48 A48 B 48 C 48 D 48 E ) with different center frequencies are combined to form at least one overall measurement information (66). To carry out the at least two radar measurement sequences (48 A 48 B 48 C 48 D 48 E ) an ultra-wideband technology is used.

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.

The invention relates to the field of ship engineering technology, and specifically discloses a method for measuring the spatial angle of a dredger rake pipe. The method collects motion data of a hull and a rake pipe in real time, uses median filtering to remove high-frequency noise, extracts features and constructs a comprehensive feature vector, uses a fuzzy inference system to separate the nonlinear influence of hull sway and rake pipe posture, and corrects the posture estimation result in combination with real-time error feedback. The estimation result is dynamically optimized through Bayesian estimation and particle filtering algorithms, and the system deviation is corrected, thereby improving the measurement accuracy. The system also evaluates the overall measurement accuracy in combination with a machine learning model, automatically adjusts measurement parameters and processes, and improves the system adaptability and robustness. For inaccurate measurement results, the system can analyze the causes and re-measure the spatial angle to ensure long-term stable operation.

The invention discloses a deep foundation bearing capacity detection system and method based on a vertical deviation rectification strategy. The detection system comprises a ground supporting table, a top jack and a force transmission column. According to the invention, the verticality adjusting unit is adopted to realize the vertical deviation correction of the bottom acting load direction, the load is ensured to apply pressure downwards in the vertical direction in the testing process, and meanwhile, the hole bottom leveling unit is integrated in the scheme, so that the technical problem that the surface of the hole bottom is uneven and the load plate applies pressure unevenly is effectively solved, and the test efficiency is improved. The load applying directivity and the contact surface uniformity are optimized, and the overall measurement precision is improved; in addition, four pressure sensors at the bottom of the load plate are intelligently linked with an axial force loading and automatic leveling device, so that intelligent and automatic leveling and deviation correction of the load and eccentricity are realized; through the two jacks at the upper part, pre-pressing of bottom sediment is realized, and the situation that the test fails due to the fact that the stroke of a bottom loading device is consumed by thick sediment is avoided.

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.

The utility model relates to the technical field of blasthole measurement, in particular to a measuring device for blasthole measurement, which comprises a support component. Comprising a first connecting disc, a connecting rod connected with one side of the first connecting disc, a second connecting disc slidably connected with the inner wall of the connecting rod, a first rotating rod rotatably connected with the outer wall of the first connecting disc, and a second rotating rod rotatably connected with the outer wall of the second connecting disc. When depth measurement is carried out on the explosion hole, the first connecting disc is pushed to open the fixing rod, then the handle is rotated to enable the supporting assembly, and the whole measuring device can be rapidly fixed in the explosion hole, so that the measuring device is convenient to erect and disassemble, and the measuring efficiency of the explosion hole is improved.

A communication method and apparatus are provided. The method includes: A terminal device determines time for measuring each of Q PRS frequency layers in a mode 2. The terminal device determines second measurement time based on a maximum value of the time for measuring each of the Q PRS frequency layers, where Q is a positive integer. According to the method, the terminal device may determine the second measurement time based on the maximum value of the time for measuring each of the Q PRS frequency layers, so that total measurement time of the terminal device for measuring the Q PRS frequency layers in the mode 2 can be reduced.

The invention discloses a magnetic particle imaging method based on multi-harmonic energy-full width at half maximum combined weighting, which comprises the following steps: acquiring point spread functions of a plurality of harmonic waves with different frequencies of magnetic nanoparticles, and constructing a corresponding system matrix; measuring a reference sample which does not contain the magnetic nanoparticles, and obtaining a plurality of noise matrixes corresponding to harmonic waves with different frequencies; measuring the sample to be measured, and obtaining magnetization response voltage vectors of a plurality of harmonic waves with different frequencies; respectively calculating an energy two-norm of a system matrix, an energy two-norm of a noise matrix and a full width at half maximum of a point spread function of the system matrix and the noise matrix; splicing the magnetization response voltage signals of each harmonic system matrix to form a total system matrix and a total measurement signal vector; calculating a weight factor of each harmonic wave and forming a weight matrix; and constructing a solution equation of the particle concentration distribution of the sample to be detected, and carrying out iterative solution on the solution equation to obtain a particle concentration distribution image of the sample to be detected. According to the invention, efficient utilization of multi-harmonic information is realized.

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 invention discloses a measurement task scheduling method for a quality robot system, and the method comprises the steps: carrying out the modeling of the measurement time of a detection delegation order of a to-be-planned batch, and obtaining a time model consumed by a measurement task; constructing an objective function based on the expected complete inspection time, the measurement time model and the certificate time model, and constructing a 0-1 integer programming model of the measurement task by taking the tray number of the weight tray rack and the maximum measurement time as constraint conditions and the complete inspection remaining time as weak constraints; and inputting a batch detection delegation list to be planned into the integer programming model to obtain a scheduling result. Measurement tasks are optimized under the constraint conditions of the number of weight trays, the maximum total measurement time and the like, the measurement capacity of a mass robot system is fully utilized, cooperation of automatic measurement time and on-off time of detection personnel is achieved, the automatic measurement system continues to carry out continuous measurement work at night, and the work efficiency is improved. And the utilization rate of the quality robot system can be effectively improved.

The invention discloses a method for testing common-mode and differential-mode input capacitance of an operational amplifier, and the method comprises the steps: constructing and calibrating a test fixture model, and extracting parasitic parameters of the test fixture model; constructing an equivalent model of the test fixture model, and eliminating parasitic parameters of the test fixture model through de-embedding; connecting an operational amplifier circuit to be tested with the equivalent clamp model, and selecting a test mode; and testing the input capacitance of the operational amplifier circuit according to the test mode. The clamp model comprises an open circuit calibration structure and a short circuit calibration structure, and in the subsequent test, the clamp parasitic effect represented by the model can be mathematically eliminated from the total measurement data containing the clamp and the tested device through a de-embedding algorithm, so that the characteristic parameters of the tested device can be accurately obtained. According to the invention, the difficulty in measuring the parasitic capacitance and the high-impedance node of the probe is effectively overcome, and the high-precision and separated measurement of the input capacitance is realized.

The present invention provides a positioning method, system and application for a robot, which relates to the technical field of positioning systems. Among them, the positioning method includes: obtaining the state pose at the previous moment, the linear velocity at the current moment, the angular velocity at the current moment, the time change amount between the current moment and the previous moment, the linear acceleration and the angular acceleration, and calculating the state pose at the current moment according to the pose state vector at the previous moment, the linear velocity at the current moment, the angular velocity at the current moment, the time change amount between the current moment and the previous moment, the linear acceleration and the angular acceleration; obtaining the total measurement noise at the current moment, and calculating the measurement pose at the current moment according to the total measurement noise at the current moment and the state pose at the current moment; calculating the optimal pose at the current moment according to the state pose at the current moment and the measurement pose at the current moment. The present invention combines tight coupling and loose coupling to fuse the pose estimation results of various sensors, improves the positioning accuracy of the robot, and has low cost.

The invention provides a multi-phase heightening follow-up detection system for laser cutting, and belongs to the technical field of laser cutting, the system realizes remarkable real-time performance improvement through a multi-phase sampling unit, can quickly respond to height change in the cutting process, and compared with a traditional single-channel detection mode, the detection efficiency is improved, and the detection cost is reduced. According to the scheme, the signal processing precision is improved. According to the parallel full-comparison denoising algorithm, the system has excellent anti-interference performance, and the processing speed is also improved. By applying the speed suppression method, the system can dynamically adjust the control parameters according to the cutting working condition, and the sudden change problem under the variable-speed cutting scene is effectively solved while the response speed is guaranteed. Through the combination of segmented calibration technologies, the system can adapt to the measurement requirements of different material characteristics and height intervals, and the adaptability of the system to different processing scenes is remarkably improved while the overall measurement precision is ensured.

The invention relates to the technical field of measuring tools, in particular to an integral measuring tool for a whole-house customized cabinet, and solves the problems that when a tape measure is used for measuring the customized cabinet in the prior art, the tape measure is easy to bend in the elongation process, so that the measurement is inconvenient and low in efficiency, and the requirements of accurate measurement and data acquisition of the customized cabinet are inconvenient to meet. Comprising an installation guide mechanism, a winding telescopic mechanism and a distance measurement flattening mechanism, the winding telescopic mechanism is installed on the inner side of the installation guide mechanism, a transmission conveying mechanism is installed at the bottom end of the winding telescopic mechanism, the distance measurement flattening mechanism is installed at one end of the transmission conveying mechanism, and the installation guide mechanism comprises a tape shell. And a central connecting column is mounted on the inner side of the middle part of the measuring tape shell. The measuring tape is automatically driven to stretch out, draw back and straighten, stability during measurement of the customized cabinet can be effectively met, the elongation of the measuring tape can be conveniently measured, then the measurement accuracy of the customized cabinet can be ensured, and the measurement efficiency is high.

To grasp a state of a combustion apparatus based on a flame state of a burner, a discharge number measurement unit measures the number of discharges of a flame sensor per unit time. A light emission information generation unit generates, as light emission information, information obtained based on a value obtained by dividing a total (accumulation) of the number of discharges per unit time measured by the discharge number measurement unit by a total measurement time. A determination unit determines the state of the combustion apparatus to be inspected based on the light emission information generated by the light emission information generation unit as described above.

The present application provides a boot cover surface processing trolley, which belongs to the field of boot cover processing equipment. The boot cover surface processing trolley includes a movable base, a lifting mechanism, an initial positioning table, a folding arm mechanism, a measuring pressure arm, a linkage mechanism, a measuring seat and a fine-tuning structure. The diameter and the axial position of the support roller are detected and determined by the two guide wheels and the surface measuring unit of the measuring seat, without the need for manual intervention, and the degree of automation is high; and the measuring pressure arm drives the folding arm mechanism through the linkage mechanism while performing the measuring action, so that the initial positioning table can simultaneously complete the coarse adjustment of the front and rear positions of the turning tool, thereby greatly shortening the time of the overall measurement preparation process and improving production efficiency; the folding arm mechanism is driven by the measuring pressure arm, and then the initial positioning table is pushed to slide to complete the coarse adjustment of the front and rear positions of the turning tool, and then the fine-tuning structure is used to accurately adjust the front and rear positions of the turning tool, which not only ensures the overall adjustment stroke of the turning tool, but also ensures the final adjustment accuracy.

A method includes registering a first mass flow rate portion measurement value {dot over (m)}1 of a first flow portion through measuring tubes of a first oscillator and a second mass flow rate portion measurement value {dot over (m)}2 of a second flow portion through measuring tubes of the second oscillator. A sum of the two mass flow rate portion measurement values gives a mass flow rate total measurement value. The method also includes registering first and second density portion measurement values ρ1, ρ2 of the medium in the flow portions and calculating the effective density measurement value peff as a function of the density portion measurement values ρ1, ρ2 with weightings dependent on the mass flow rate portion measurement values {dot over (m)}1, {dot over (m)}2. The different weighting functions are applied for ascertaining the weightings as a function of the mass flow rate portion measurement values.

The invention discloses a building measurement method based on unmanned aerial vehicle remote sensing, and relates to the technical field of building measurement, and the method comprises the steps: obtaining the initial position information of an unmanned aerial vehicle through a GPS, measuring the surrounding building information, constructing an initial three-dimensional building model, recording the movement track of the unmanned aerial vehicle, randomly extracting track points in the movement track, and carrying out the measurement of the unmanned aerial vehicle. The method has the advantages that by extracting the track points and calculating the distance between the track points and the adjacent tracks, the coverage integrity of the current layer can be verified, repeated measurement or missed measurement is avoided, data are extracted according to a preset period, redundant sampling is avoided, and the method is high in practicability and easy to popularize. Coverage of key point locations is guaranteed while the data size is reduced, the overall measurement time is shortened, measurement modes of a laser radar, a millimeter wave radar and an ultrasonic radar are divided into a measurement unit, a verification unit and an auxiliary measurement mode, and abnormal data are recognized and removed through data comparison of different combinations.