152 results about "Reference distance" patented technology

The invention discloses an imaging method, system and device for correcting range migration based on frequency domain phase multiplication, and the method comprises the following steps: carrying out the range pulse compression of echo data of each receiving array element in a range frequency domain; performing data preprocessing according to a phase center approximation method to obtain equivalent transmit-receive combined synthetic aperture sonar data; deriving a secondary distance compression item at the reference distance in the two-dimensional frequency domain, and performing secondary distance compression processing; deriving a space-variant migration phase term of range migration correction corresponding to each target with different distances; carrying out filtering processing on the two-dimensional frequency domain sonar data; a filtered result is converted to a range-direction time domain and an azimuth-direction Doppler domain, data of targets at corresponding distances are extracted, and the data extracted each time are combined in sequence; and for the data after range migration correction, azimuth pulse compression is carried out in a range time domain and an azimuth Doppler domain, and the data is converted to a two-dimensional time domain to obtain a sonar image.

A establishing method of a reconfigurable intelligent surface radio frequency model includes calculating a first power ratio between a first receiving antenna and a first transmitting antenna according to a first wireless transmission equation; calculating a second power ratio between a second receiving antenna and a second transmitting antenna according to a second wireless transmission equation, wherein a reconfigurable intelligent surface is disposed between the second transmitting antenna and the second receiving antenna, and separated from the second transmitting antenna by a reference distance; calculating the first power ratio, the second power ratio and a path loss corresponding to the reference distance to obtain a relay gain of the reconfigurable intelligent surface; and establishing the reconfigurable intelligent surface radio frequency model based on a loss correction value and the relay gain.

The invention provides a lifting sling balance control method, which comprises the following steps of: detecting the actual distance from two ends of a traveling cart mechanism to a cart traveling track in real time through a first sensor, comparing the actual distance with a reference distance in real time, and further judging whether the sling is in a horizontal state in real time; as the two ends of the traveling cart mechanism abut against the cart traveling track, a first difference value and a second difference value between the actual distance and the reference distance are calculated respectively, and the first difference value and the second difference value correspond to the difference value between the actual distance between the two ends of the traveling cart mechanism and the cart traveling track and the reference distance respectively. The inclination state of the lifting appliance is judged by judging whether the first difference value and the second difference value are equal or not and judging the sizes of the first difference value and the second difference value, then the offset distance of the lifting appliance is detected through the second sensor, the steel wire rope is wound and unwound through the lifting mechanism till the two ends of the lifting appliance recover the horizontal state, and therefore safety and stability in the lifting appliance operation process are guaranteed.

A system that performs wall direction estimation to determine a position of an acoustically reflective surface relative to a device. For example, the device may detect a direct sound received from an active sound source and a first reflection reflected from a nearby wall. Based on a time delay, the device can estimate a direction and / or distance to the wall. For example, the device determines a time differential of arrival (TDOA) between the direct sound and the first reflection for each microphone in a microphone array. The device combines TDOA values of the entire microphone array into a distance vector, which the device can compare to reference distance data to determine the best wall direction estimate. For example, reference distance values are fixed based on a geometry of the microphone array and the device can identify an azimuth value that is most similar to the distance vector.

The invention relates to the technical field of semiconductors, in particular to a semiconductor wafer measuring method and related equipment. A target layout of a wafer to be measured is divided into a plurality of unit areas, and each unit area comprises an initial addressing point; the initial addressing points are screened through a reference distance interval with the measuring point as the center, at least one reference addressing point is obtained, and each reference addressing point is located in the reference distance interval; determining a target addressing point based on the graph density of the unit area where each reference addressing point is located and the graph density of each unit area adjacent to the reference addressing point; and measuring the wafer to be measured based on the target addressing point and the measurement point. According to the invention, the appropriate target addressing point is efficiently and automatically grabbed, the efficiency and accuracy of wafer data measurement are improved, the labor cost is saved, the measurement period is shortened, the measurement error caused by improper selection of the addressing point is effectively avoided, and the measurement accuracy is improved.

The invention discloses a boiler expansion indication three-dimensional remote transmission measurement method, system and equipment and a medium, and belongs to the technical field of boiler monitoring, and the method comprises the steps: obtaining the real-time distance data of a to-be-measured part of a boiler in a first direction, a second direction and a third direction through a measurement device disposed on the to-be-measured part of the boiler; according to the real-time distance data and preset reference distance data when the boiler does not expand, the expansion amount of the boiler component to be measured in the first direction, the second direction and the third direction is determined; converting the swelling amounts in the first direction, the second direction and the third direction into standard signals; and sending the standard signal to a monitoring system for display. According to the invention, high-precision three-dimensional measurement, automatic data remote transmission and intelligent analysis and early warning based on data are realized, so that the measurement precision and reliability are improved, automatic monitoring and graded early warning are realized, and intelligent diagnosis can be carried out to distinguish real abnormity and measurement interference.

A method for rendering an audio source using a plurality of virtual sources is provided. The plurality of virtual sources includes a first virtual source. The method comprises obtaining a target distance gain value that was derived using a target distance gain function for the audio source and a reference distance value indicating a distance between a listening position and a reference point for the audio source. The method further comprises deriving a first distance gain correction value for at least the first virtual source using the target distance gain value. The method further comprises rendering the audio source using the derived first distance gain correction value and a signal for the first virtual source.

The invention relates to the technical field of mine safety monitoring, in particular to a coal mine tunnel deformation real-time monitoring device and system. The technical problems that in the working process of a traditional roadway monitoring technology in a geological structure complex area, data processing delay is large, and the best intervention opportunity may be missed due to data lag in the traditional technology are solved. According to the technical scheme, the real-time monitoring device and system for deformation of the coal mine tunnel comprise a fixed distance measuring unit, a reflection target array and a displacement calculation unit, the displacement calculation unit is used for obtaining original distance data from each laser distance measuring sensor to a corresponding reflection target in real time, and the original distance data is calculated through difference calculation between the original distance data and a preset reference distance. The real-time displacement variable quantity of each key deformation monitoring position is directly output, and the displacement variable quantity is directly used as a monitoring index of roadway deformation; according to the invention, through the direct correspondence between laser ranging and the reflection target, the scanning and three-dimensional reconstruction process in the traditional technology is abandoned, the single measurement period is shortened, and the real-time capture requirement of catastrophe precursor is met.

The invention relates to the technical field of radar sea surface target detection, in particular to a sea surface small target detection method and system based on neighborhood clutter attention enhancement. The method comprises the following steps: acquiring radar echo data to be detected; performing adaptive whitening preprocessing on the radar echo data to obtain processed data; based on the processed data, performing short-time Fourier transform on the time domain data of the to-be-measured distance unit and the reference distance unit to obtain a time-frequency graph; performing conjugate multiplication operation on the time-frequency graph of the distance unit to be measured and the time-frequency graph of each reference distance unit to obtain conjugate enhanced feature graphs, and combining the conjugate enhanced feature graphs to form a multi-channel time-frequency feature tensor; and inputting the multi-channel time-frequency feature tensor into the constructed ACGAQ Net network model to complete detection. According to the method, the difference characteristics of the target and the clutter in spatial correlation are fully utilized, and reference unit information is supplemented for sea surface target detection.

The invention provides a prefabricated part hoisting precision control method. The prefabricated part hoisting precision control method comprises the following steps that S1, measurement equipment is prepared; s2, measuring equipment installation and reference setting; s3, measuring a reference distance; s4, measuring in-place position parameters; s5, a component parameter measurement angle in the hoisting process is obtained; s6, component deviation calculation and adjustment; according to the invention, the detection part integrating the distance measuring sensor and the tilt angle sensor is used for replacing manual visual detection, so that accurate distance and angle data acquisition of the in-place position of the prefabricated part and the prefabricated part in hoisting is realized, and meanwhile, personnel do not need to approach, so that potential safety hazards are reduced; the actual deviation of the prefabricated part is calculated through the preset reference distance and the distance and angle data measured in real time in combination with an algorithm, manual experience judgment errors are avoided, and the hoisting positioning efficiency is improved.

A method and apparatus for separating transmission channels of a DDMA-MIMO radar, a device, and a storage medium. The method comprises: dividing a Doppler frequency domain into N transmission channels according to the number M of transmitters comprised in a DDMA-MIMO radar (S110); establishing an initial correspondence between the M transmitters and any M transmission channels (S120); determining measured range-Doppler amplitude information and reference range-Doppler amplitude information corresponding to the N transmission channels (S130); determining correlation information between the measured range-Doppler amplitude information and the reference range-Doppler amplitude information (S140); and determining a target correspondence between each transmitter and transmission channel on the basis of the correlation information and the initial correspondence (S150).

The present invention relates to a berthing path generation method for a vessel, comprising: a step of obtaining an obstacle map including a plurality of nodes corresponding to positions at sea; a step of selecting a current node corresponding to a current position of the vessel on the obstacle map and a berthing node corresponding to a berthing position; a step of determining a current heading direction of the vessel at the current node and a berthing heading direction at the berthing node; a step of determining a reference distance; a step of determining a plurality of waypoint nodes using the reference distance and a predetermined expected berthing path cost function; and a step of generating the berthing path using the plurality of determined waypoint nodes.

The invention provides a voice coil motor control system and method. The voice coil motor control system comprises a voice coil motor, a laser light source, an interferometer, a square wave circuit and a processing unit. The laser light source is used for transmitting a laser signal to the interferometer; the interferometer is used for generating an interference signal based on the laser signal; the square wave circuit is used for generating n square wave signals based on the interference signal and n voltage thresholds; the processing unit is used for acquiring a moment sequence, and traversing each moment from the (2n + 1) th moment of the moment sequence as a current moment; determining a target duration based on the current moment and a reference moment before the current moment; determining a speed feedback value based on the target duration and the reference distance; and the processing unit is used for determining a speed deviation value based on the speed feedback value and the obtained target speed value, and controlling the movement speed of the voice coil motor based on the speed deviation value. According to the technical scheme, the feedback period of the speed feedback value is short, and the accuracy of motion speed control is improved.

The invention relates to a hole bottom sediment thickness adaptive direction measurement method for irregular hole shapes. The method comprises the following steps: acquiring hole wall images and vertical distance data in multiple directions; image preprocessing is carried out, hole wall feature points are extracted, three-dimensional coordinates are converted, a dynamic three-dimensional model is fitted, deformation grades are divided, and an inclination angle is determined; preferentially distributing detection points in a serious deformation area, calculating an optimal angle, monitoring by a gyroscope, correcting by an electromagnetic damper, adjusting by a servo motor, and ensuring that an included angle between a probe axis and a hole bottom tangent line is compliant; transmitting multi-frequency ultrasonic waves according to deformation grades, analyzing reflected signals through wavelet transformation, extracting sediment layering characteristics, and calculating the distance from a probe to a layering surface through speed correction; the reference distance is calculated based on the reference coordinates, the sediment total thickness and the dense layer thickness are finally obtained, and the measurement method which is adaptive to hole wall deformation, eliminates interference, dynamically adjusts detection parameters and is accurate in reference positioning can meet the high-precision requirement of engineering for sediment thickness and compactness quantification.

The invention relates to a rail train part anomaly detection method based on a point-surface distance, and relates to the technical field of rail part anomaly detection, and the method comprises the steps: a surface recognition step: recognizing an actually measured special surface in a target image through a surface recognition strategy, and generating a corresponding special recognition feature; a model indexing step: calling a target part model from the part type database according to the special identification features and importing the target part model into a space coordinate system; a vector fitting step: determining a presentation vector of the target part model in the space coordinate system through a model presentation strategy, and constructing a coordinate mapping relation between the space coordinate system and the target image; a point confirmation step: determining the graphic plane coordinates of the reference special point in the target image according to the mapping relation; and a deviation calculation step: calculating a difference value between the coordinates of the reference special point and the actually measured special point to obtain a special point deviation, and solving a reference distance deviation through a preset distance solving algorithm. The method has the effect of conveniently detecting the abnormal vector change generated by the rail train parts.

The present invention provides a method and device for detecting anti-expansion of a tubular belt conveyor. The method includes the following steps: determining a detection area and a reference position opposite to the detection area; measuring and recording the distance between the reference position and the surface of the empty belt within the detection area, and denoting it as the reference distance; measuring the distance between the reference position and the surface of the material within the detection area, and denoting it as the measurement distance; calculating the difference between the reference distance and the measurement distance to form a data set; performing an equal-circle transformation on the data set to obtain a transformed circle, and calculating the diameter of the transformed circle, where the area of the transformed circle is equal to the cross-sectional area of the material; determining whether the diameter of the transformed circle exceeds a set threshold and performing corresponding processing. The device includes a mounting bracket, a laser scanning sensor, and a data processing unit. It can effectively identify the material filling condition of the conveying pipe of the tubular belt conveyor, avoid the occurrence of the expansion pipe accident of the tubular belt conveyor, and has the advantages of simple structure, convenient installation, and high reliability.

The invention relates to the technical field of gap measurement, and discloses an elevator component gap measurement system, method and device, the elevator component gap measurement system comprises a data collector and a processor, and acquired analog signals comprise a first reference distance B between the data collector and the tail end of a car door vane, a second reference distance B between the data collector and the tail end of the car door vane; a second reference distance D is arranged between the data collector and the door lock roller; a first distance # imgabs0 # between the data collector and the landing sill; a second distance # imgabs1 # between the data collector and the door lock roller; and obtaining and outputting a detection result based on a preset algorithm. Therefore, the distance between each part in the elevator and the elevator shaft is obtained through various data collected by the elevator part measurement system, such as the first reference distance B, the second reference distance D, the first distance # imgabs2 # and the second distance # imgabs3 #, and the required measurement result can be obtained through calculation based on the basic data obtained through measurement. Therefore, efficient, dynamic and non-contact gap measurement of each part of the elevator is realized.

The application discloses a 4D video generation method fusing monocular vision and terrain elevation data, comprising the following steps: acquiring video frame images and corresponding camera pose data collected by a monocular camera; acquiring terrain elevation data of a target area, and constructing a three-dimensional elevation network model; based on the camera pose data, establishing a ray projection model for pixels in the video frame images, calculating the intersection of the rays and the three-dimensional grid model, and obtaining the reference distance from the monocular camera to the ground surface corresponding to the pixels; generating an initial relative depth map of the video frame images by using a depth estimation model; selecting high-confidence ground pixels from the video frame images as reference points, taking the reference distance corresponding to the reference points as the true value, and performing absolute scale correction on the initial relative depth map to obtain an absolute depth map; performing back projection calculation on the absolute depth map, the camera pose data and pixel color information to generate a three-dimensional point cloud, mapping the three-dimensional point cloud to a real geographic coordinate system, and generating 4D video data in time sequence.

The present application relates to a processing system, a robot system, a control device, a processing method, a control method, a program, and a storage medium. The processing system is configured to set a detector including a plurality of detection elements arranged along a first direction and a second direction intersecting the first direction at a prescribed position. The detector performs an investigation of transmitting an ultrasonic wave to a welded portion of a joint body and detecting a reflected wave. A center position of the welded portion in a first plane along the first direction and the second direction is calculated based on intensity data representing an intensity of the reflected wave obtained by the investigation. A position adjustment is performed so that the detector moves along the first plane so as to reduce a distance between the center position of the welded portion and a position of the detector in the first plane. A reference distance is calculated using a moving distance of the detector in a plurality of past position adjustments. In a case where the reference distance exceeds a first threshold value, the prescribed position is corrected using at least a part of the plurality of moving distances.

The invention relates to the technical field of orthodontics, in particular to a navigation method and system for a semi-automatic robot, and the method comprises the following steps: setting a reference mark; defining a first space coordinate system by adopting an optical positioning camera, wherein the first space coordinate system is used for defining a first coordinate of the reference mark; the target model defines the relative position between the reference mark and the teeth through a second space coordinate system; registering the first space coordinate system and the second space coordinate system by adopting a coordinate system registration algorithm, and correspondingly converting the first coordinates to obtain first and second reference coordinates of the first and second reference points in the first space coordinate system; calculating a first reference distance and a second reference distance of the first reference point and the second reference point in the first space coordinate system and the second space coordinate system; if the difference value between the first reference distance and the second reference distance is smaller than a set reference threshold value, a first navigation point of the grabbing mechanism is determined according to the reference point. The invention solves the problem that the existing navigation method has high performance requirements on hardware equipment.

The present disclosure relates to a computing device using a sensor module so as to acquire a plurality of point clouds collected at different points, and an operating method thereof, which are capable of: matching a second point in a second point cloud to a first point while iteratively changing a reference distance for each first point in a first point cloud; and determining, on the basis of the first point and the second point, a relative pose between points at which each of the first point cloud and the second point cloud is collected. In the disclosure, the reference distance can be changed at each iteration according to a function of the sensing distance from the sensor module to the first point and the pose change amount estimated in the previous iteration.

Condition measuring device that measures the condition of a cutting tool (200) during a cutting operation, wherein the cutting tool (200) consists of a rotating body having one or more blade sections (202) and bringing each of the blade sections (202) into contact with a workpiece (W) during rotation in order to machine the workpiece (W), wherein the condition measuring device comprises: one or more measuring sections (101) attached to the blade section (202) or to a surrounding area of ​​the blade section to measure a condition of the blade section (202); an AD converter (103) attached to the cutting tool to obtain a measured value measured through each of the measuring sections at a predetermined sampling rate and to perform an AD conversion with respect to the measured value; a transmission section (105) which transmits the measured value from the A / D converter (103) using digital wireless communication each time the measured value is obtained; and a monitor device (120) which is provided outside the cutting tool, wherein the monitor device (120) comprises: a receiving section (122) that receives the measured value transmitted by the transmitting section (105); and a data management section (124) that causes a display section (126) to display the measured value, and a storage section (127) that causes the measured value to be stored each time the measured value is received by the receive section (122), wherein each of the measuring sections (101) comprises a strain gauge or a piezoelectric element, and the amplitudes of the measured values ​​are recorded by the strain gauge or the piezoelectric element from the chronological data of the measured values ​​received by the receiving section (122), and a difference is obtained between each of the recorded amplitudes and a reference value, and wherein the condition measuring device further comprises an abnormality detection section (125) which determines that an abnormality has occurred in the blade section (202) if the difference is greater than a reference distance value, and, when the presence of the abnormality is determined, displays information showing the occurrence of the abnormality on the display section (126).

The invention belongs to the technical field of data analysis, and particularly relates to a crane fault monitoring method and system based on data analysis, and the method comprises the steps: obtaining the feature distinction degree of each type of fault monitoring data under each working condition according to the crane fault monitoring data; acquiring a monitoring importance degree according to the feature distinction degree; obtaining the distance between the feature vectors according to the monitoring importance degree of each type of fault monitoring data and the difference between the feature vectors in the fault monitoring data set; obtaining a reference distance according to the distance between the feature vectors, and obtaining a reference number according to the reference distance of each fault monitoring data set; and crane fault monitoring is carried out through the reference distance and the reference number of each fault monitoring data set. According to the invention, the crane fault monitoring has higher reliability and working condition adaptability.

The present invention discloses a flight trajectory planning method for an unmanned aerial vehicle (UAV) data collection system, which relates to the field of wireless communication technology. The method comprises a UAV and several data sources. The UAV serves as an aerial base station to collect data generated by a ground data source. Under the condition of limited energy of the UAV, the flight trajectory of the UAV is optimized to maximize the amount of data collected. The position coordinates of the ground data source are obtained, and the received signal-to-noise ratio at a reference distance of 1 meter is measured. The problem is then modeled as a Markov decision process to determine three elements: state, action, and reward. The reward function is a weighted sum of flight energy consumption per time slot and the amount of data collected. A weighting factor of the reward function is given, and the flight trajectory and the amount of data collected are calculated. The weighting factor is traversed from 0 to 1 according to a certain step size to find the maximum amount of data collected. The corresponding flight trajectory is the desired flight trajectory. Compared with a stationary solution and a greedy strategy under the same conditions, the method achieves a higher amount of data collection.

The invention discloses a high-degree-of-freedom airborne radar space-time adaptive signal processing method, and relates to the field of airborne radar signal processing, and the method comprises the steps: receiving echo signals collected by an N-element uniform linear array of an airborne radar in M coherent pulse intervals, and forming an N * M-dimensional space-time snapshot vector x; selecting space-time snapshot vectors of L reference distance units adjacent to the distance unit to be detected, and calculating a clutter and noise combined space-time covariance matrix estimated value R; constructing a space-time two-dimensional steering vector s of the target according to the radar system parameters, and calculating a space-time adaptive filter weight vector w according to the space-time two-dimensional steering vector s; weighting the space-time snapshot vector x of the distance unit to be detected and the weight vector w of the space-time adaptive filter, and calculating filtering output y; detecting the filtering output y, and judging whether a target exists or not; the method has the advantages that the clutter suppression performance is improved, the calculation complexity is reduced, and the system robustness and adaptability are enhanced.

The present disclosure relates to a pipeline leakage detection method and device, electronic equipment and storage medium, the method comprising: acquiring a first leakage signal of a pipeline under a first condition; generating a second leakage signal under a second condition based on the first leakage signal, the signal detection step length under the second condition being smaller than the signal detection step length of the first condition, the signal detection step length being a reference distance between a sensor and a leakage point; constructing a leakage detection model using the first leakage signal and the second leakage signal; and performing processing on the leakage signal using the leakage detection model to detect a leakage event. The embodiments of the present disclosure can improve the leakage detection accuracy.

The application discloses a kind of car position measurement method, device, equipment and storage medium, the mapping relationship of first reference distance, second reference distance and third reference distance is established in advance, in actual measurement process, the target distance corresponding to echo signal with better signal-to-noise ratio is used to find the corresponding second reference distance from the mapping relationship as the distance between car and shaft top, the car position measured by phase method is corrected, the cumulative error generated by phase ranging is eliminated, the accuracy of car position is improved, and then the safety is improved.

The application provides a radar target detection method, system, device and medium based on two-feature fusion, and belongs to the technical field of radar signal processing. The method comprises the following steps: constructing training data by using existing radar target detection data, extracting phase linearity based on a training data extraction process, and extracting the relative peak height of the Doppler spectrum by using a relative peak height extraction process; based on the phase linearity and the relative peak height, a linear dimension reduction method with compact distribution is used to obtain a fusion matrix of two features; reference distance unit data and to-be-detected distance unit data are obtained in real time, the phase linearity extraction process and the relative peak height extraction process are respectively performed, and the fusion matrix is used to generate fusion features; based on the fusion features, the parameters of a generalized extreme value distribution are estimated, a detection statistic is constructed, a preset false alarm probability is combined to calculate an adaptive threshold, the target is judged by comparing the detection statistic with the threshold, and the constant false alarm rate detection under clutter suppression is realized.

A detection device that fits a second connector provided on a tip of a cable and detects looseness at a connection portion between a first connector to which the cable is connected and the second connector includes a sensor that detects a distance to a tip face of the second connector in a sealed space formed in a state where the first connector and the second connector are fitted to each other; a controller that gives an output instruction to output a predetermined signal when the distance has changed by a predetermined threshold value or more from a reference distance, the reference distance being the distance at a predetermined reference time; and an output device that outputs the predetermined signal according to the output instruction.

The invention relates to a method for operating a distance determination system (10) in order to determine at least one distance (12) between a mobile unit (14) and a stationary unit (16), wherein - a first radio signal (46) is transmitted by the mobile unit and a first transmission value is recorded, - the first radio signal is received by the stationary unit and a first reception value is recorded, - a second radio signal (48) is transmitted by the stationary unit and a second transmission value is recorded, - the second radio signal is received by the mobile unit (14) and a second reception value is recorded, and - the distance (12) is determined by means of an evaluation unit (18). According to the invention, a monitoring unit (78, 80) generates a reference signal (82), feeds the reference signal to an antenna port (26, 40) of the transmit / receive unit (22), and records a reference transmission value, - the reference signal is received by the transmit / receive unit and a reference reception value is recorded, and - a reference distance (28) is determined by means of the evaluation unit and is compared with a predefined comparison value.