94 results about "Vector projection" patented technology

The invention relates to the technical field of intelligent oil injection control, in particular to a limited slip differential gear oil performance directional optimization method and system.The limited slip differential gear oil performance directional optimization method comprises the following steps that the temperature rise rate is collected through a temperature sensor to calculate the gear shaft elongation, and a meshing clearance trend vector is generated by combining differential temperature time sequence analysis; the stability correction is calculated by fusing oil film thickness data, the injection angle compensation driving servo motor is solved based on vector projection, the adhesion factor index is constructed by coupling the oil injection feedback and the oil film difference, the oil product meeting the tension condition is switched when the limit is exceeded, and the lubrication recovery performance is evaluated. According to the method, gear shaft temperature rise and differential mechanism temperature gradient data are collected in real time, meshing clearance accurate prediction is achieved by combining expansion coefficient analysis, stability judgment is improved by fusing oil film thickness data, jet precision is optimized based on a vector projection dynamic compensation jet angle, and an adhesion factor index containing a phase difference is constructed to achieve lubrication attenuation early warning. And oil products are accurately switched by dynamically matching tension and viscosity threshold values, so that friction loss is reduced.

The invention relates to a space coupling wind measurement laser radar real-time processing method. The method comprises the following steps of performing quality inspection and data preprocessing on acquired power spectrum data; carrying out radial speed extraction on the power spectrums of the plurality of beam directions and the plurality of range gates; constructing a space coupling constraint based on the space continuity of the atmospheric wind field and the geometric law of vector projection; solving a global objective function containing a data fitting item and a spatial constraint item through a joint optimization algorithm to obtain optimal wind field estimation; and outputting the three-dimensional wind field and performing quality evaluation. According to the method, the coupling relationship between different spatial position measurement values is established by using spatial redundant information obtained by multi-beam scanning of the wind measurement laser radar, the wind field inversion precision is improved through a global optimization method, the abnormal value suppression capability is enhanced, and the spatial continuity of an inversion result is ensured.

The invention discloses a unified construction method for an intention recognition system and a semantic vector recall system, relates to the field of computer processing, and aims at uniformly constructing the intention recognition and semantic vector recall system by aligning a user vector, a material implicit vector and an intention implicit vector in a natural semantic space. Besides, the material implicit vector is projected to the user vector in a vector projection mode, and the similarity between the material implicit vector and the user vector is calculated, so that long semantic information of visual content and short semantic information of user search terms are subjected to consistent alignment. Therefore, a plurality of functional modules on a whole search link are replaced, the research and development and operation cost is greatly reduced, and a search system is obviously improved in the aspects of user intention estimation and integrity and accuracy of preference material recall.

The invention relates to the technical field of quantum measurement, and discloses a high-speed arbitrary adjustable unbiased generalized measurement device for light quantum polarization bits, and the device comprises a high-speed adjustable z-axis rotation device; a high-speed adjustable y-axis rotating device; a measurement intensity high-speed adjusting device; a sigma z basis vector projection measurement device; a unit measuring device; and an electronics post-processing module. According to the invention, sigma z base vector projection measurement is constructed through an optical fiber polarization beam splitter (FPBS), unit measurement is constructed through an optical fiber beam splitter (FBS), and sigma z base vector unbiased generalized measurement with high-speed adjustable measurement intensity is realized in combination with a measurement intensity high-speed adjusting device and an electronics post-processing module. And the rotation of the measurement basis vector on the Bloch ball is realized through the high-speed adjustable z-axis rotating device and the high-speed adjustable y-axis rotating device, so that the high-speed arbitrary adjustable unbiased generalized measurement is realized.

The invention discloses a wave energy device hydrodynamic analysis method based on any arrangement form. The wave energy device hydrodynamic analysis method comprises the steps that a first floating body I and a second floating body J are randomly selected from a multi-floating-body array; establishing a fixed coordinate system according to the connection relationship between the first floating body and the second floating body; a rotating coordinate system is established according to the position relation of the first floating body and the second floating body after rotation, and a new coordinate of a hinge point under the rotating coordinate system is solved; calculating a displacement limitation constraint matrix according to the hinge point coordinates and the displacement continuity condition, and establishing a multi-floating-body frequency domain motion equation; solving a relative pitching rotation angle of the two objects according to the vector projection relation of each degree of freedom; and according to the relative pitching rotation angle, solving the energy power generation efficiency of the device. The method is not limited to any form of a floating body, and can solve the problems of any complex arrangement of a floater and a platform constraint matrix of the wave energy device and solving of a relative pitching rotation angle, so as to improve the energy efficiency of the wave energy device.

The invention relates to the technical field of microwave semiconductor testing, and discloses a dynamic calibration system for the sensitivity of a microwave photoconductivity tester, which comprises a dual-port orthogonal coupling resonant cavity module provided with a primary port and a secondary port which are orthogonally isolated; the variable capacitance-variable resistance composite modulation perturbation module is connected to the secondary port and is used for generating analog photoelectric response complex impedance disturbance; the vector microwave transceiving and demodulation module is connected to the main port and outputs I / Q signals; the complex impedance track fitting control module is used for driving the perturbation module based on a physical model; the dynamic vector calibration and signal processing module is used for calculating a system transfer function and executing vector projection denoising, the composite modulation perturbation module is used for generating complex impedance disturbance simulating semiconductor photoelectric response at a resonant cavity secondary port, and the vector receiving and transmitting module is combined to obtain a system instantaneous vector transfer function; a system drift error is eliminated by performing de-embedding processing on a measurement signal, and orthogonal noise is eliminated by using a vector projection algorithm.

The embodiment of the invention provides an automatic parking longitudinal decision-making method, device and equipment, a medium and a vehicle, and the method comprises the steps: in the automatic parking process, according to the own vehicle planning track of the vehicle and the own vehicle prediction track at the current moment, combining the semantic information of each obstacle in a real-time updated electronic map; determining a longitudinal collision distance between the vehicle and an obstacle; according to the planned trajectory of the vehicle and the semantic information of each obstacle in the electronic map, determining a transverse collision distance between the vehicle and the obstacle in combination with a vector projection mode; according to the longitudinal collision distance and the transverse collision distance, longitudinal decision making is conducted on the vehicle. By means of the method, during automatic parking decision planning, the semantic information of the obstacle is accurately recognized, simulation prediction is combined with the motion intention of the vehicle, the potential collision risk can be accurately predicted in advance, the speed of the vehicle can be adjusted more timely and more reasonably, avoidance measures can be taken, and the parking safety is remarkably improved.

The invention provides a large-scale privacy set intersection method and system based on dynamic bucket load balancing. According to the method, an OPRF environment based on an elliptic curve is used in a logic bucket to replace a traditional RSA scheme, and batch processing of the vector OPRF technology is achieved; oPRF calculation is optimized by adopting orthogonal basis vector projection, so that the calculation complexity is remarkably reduced; generating a global ciphertext intersection through a cross-bucket multi-stage aggregation mechanism; an LRU caching strategy and FlatBuffers serialization are achieved on the optimized transmission data, and the data are compressed in combination with difference value coding; and finally, safely decrypting and generating a formatting result. According to the method, the calculation speed is greatly increased, memory occupation is reduced, meanwhile, high safety is kept, and the method is suitable for large-scale privacy protection data analysis application scenes.

The invention discloses a satellite orbit kilometer post parameter prediction method and device, equipment and a medium, and relates to the technical field of satellite data processing. The method comprises the following steps: converting longitude and latitude in satellite positioning data into UTM coordinates; vector projection is carried out on the UTM coordinates on the line segments, and kilometer posts of all key position points are determined; performing multi-time-step lagging feature splicing and differential processing on the satellite positioning data and the kilometer post respectively, generating final feature matrixes of the satellite positioning data and the kilometer post at each key position point, and performing robust standardization; training the double-layer long-short-term memory network to obtain a kilometer post prediction model; and inputting the satellite feature sequence of the to-be-measured position point on the railway track section into the kilometer post prediction model, and outputting the kilometer post of the to-be-measured position point on the railway track section. According to the method, the accuracy of kilometer post parameter prediction can be effectively improved.

The application discloses a bearing sealing structure internal defect nondestructive testing method and system, and relates to the technical field of nondestructive testing.The method comprises the following steps: before and after the start and end of a measurement task, calibrating a physical reference built in the system to calibrate and quantify system drift; during the scanning process, through a coaxial reverse differential measurement mechanism, real-time immunity to dynamic errors is generated to generate pretreated three-dimensional point cloud data flow; finally, through vector projection analysis of actual geometric distortion topological morphology and a predefined topological fingerprint representing a systematic aging mode, the diagnosis and compensation of the health state of the system itself are realized.Through an internal and full-cycle error defense system, the application can generate a three-dimensional model highly consistent with a physical entity, and the fidelity and long-term reliability of the detection result are improved.

The invention discloses a GIS partial discharge rapid positioning method based on a multi-normal projection principle, and relates to the technical field of partial discharge on-line monitoring, a three-dimensional photoelectric array formed by silicon optical semiconductor sensors is used for obtaining a partial discharge signal amplitude, a direction vector is constructed, and a unit direction is obtained through solving a local intersection point. And further combining with least square optimization of multi-unit rays to obtain initial position estimation of the partial discharge source. On the basis, an amplitude correction and iteration updating mechanism is introduced, observation data are corrected, and a real position is gradually approached, so that high-precision three-dimensional partial discharge source positioning in a complex electromagnetic environment is realized. Through the combination of the silicon optical sensor three-dimensional array and the improved multi-vector projection iterative algorithm, high-precision partial discharge positioning can be realized in a complex electromagnetic environment, the operation reliability and the operation and maintenance efficiency of equipment are remarkably improved, and the method has a wide engineering application prospect.

The invention provides a water antibiotic pollution detection method and system based on spectral characteristics, and belongs to the technical field of water environment monitoring, analysis and detection.The method comprises the steps that firstly, a surface enhanced Raman spectrogram and oxidation-reduction potential time sequence data of a to-be-detected water sample are synchronously obtained; then, extracting a ratio of the characteristic peak intensity of the target antibiotic from the spectrogram to generate a first characteristic set, and meanwhile, performing wavelet packet decomposition on the potential data and calculating an energy entropy to construct a second characteristic set; then, splicing the two feature sets, and screening out a target feature subset highly related to the concentration through a mutual information maximization algorithm; finally, a support vector projection regression model trained based on a structural risk minimization mechanism is utilized, and accurate detection of the concentration of the target antibiotics in the water sample to be detected is achieved through kernel function mapping and hyperplane projection operation. According to the method, the anti-interference capability and the quantitative precision of antibiotic detection under the complex water body background are improved.

A computer-based method to identify test user intent during evaluation of user interaction with a digital asset is provided comprising: receiving test user interaction data; producing a vector based upon the received data; using a machine learning model to project the vector to a first non-custom label embedding vector space; using the machine learning model to project the vector to a second custom label embedding vector space; determining a starting label associated with the vector based at least in part upon a nearest neighbor search within the first embedding vector space for a label nearest to the vector and a nearest neighbor search within the second embedding vector space for a nearest neighbor to the vector, receiving identification of a custom label; and adjusting the second embedding vector space based upon the custom label.

This invention discloses a smart construction site management method and system based on the Internet of Things (IoT), relating to the field of smart construction site environmental control technology. The method includes performing vector projection on the point cloud of the material storage area's surface to obtain the tangential wind speed components of the surface points, calculating the voxel center elevation difference of the three-dimensional point cloud, screening wind erosion active areas, uniformly dividing the wind erosion active areas into sub-zones, calculating the horizontal drift distance, predicting the landing center coordinates, and generating a predicted landing circle; calculating the fog cannon coverage circle, determining the spatial intersection of the predicted landing circle and the fog cannon coverage circle, calculating the fog cannon activation time in the control area, and sending the activation time to the fog cannon for execution. This invention improves the dynamic simulation capability of dust particle falling behavior by combining particle size distribution quantification with a settling velocity estimation model, and improves the accuracy of dust fall range prediction by calculating the horizontal drift of dust particles combined with a landing circle prediction model.

A self-drilling screw includes a head, a thread shank and a pilot end. The thread shank includes a shank body and a thread portion. The thread shank is cut with cutting grooves extending axially from the shank body and formed by cutting through the thread portion into the shank body. The pilot end is gradually tapered, and defines two chip-clearing flutes formed by cutting and extending over the thread portion and the pilot end and by cutting and extending through a portion of the pilot end. Each chip-clearing flute is in communication with the corresponding cutting groove. Each cutting groove partially overlaps the corresponding chip-clearing flute at the normal vector projection to enhance chip removal.

The application discloses a kind of based on dual threshold detection and adaptive compensation laser SLAM degradation processing method, applied to degradation detection technical field. Including the following steps: construct dual detection mechanism, static threshold ensures the detection stability under normal scene, dynamic threshold adjustment judgment standard, realize the quick identification to gradual and instantaneous degradation;Design degradation deviation driven adaptive two-stage compensation strategy: first compensation is based on vector projection principle;Second compensation is according to the influence of unreliable laser constraint that dynamic weakening according to the degree of degradation deviation.This application is based on the dual threshold detection mechanism of real-time perception of scene features, real-time quantification of the severity of degradation deviation, and drives the start and intensity adjustment of compensation strategy, links dual detection mechanism and two-stage compensation strategy, can improve scene adaptability and detection comprehensiveness, can also dynamically adjust compensation intensity, significantly improve the pose estimation accuracy and robustness of system.

The invention relates to a directional drilling track profile map drawing method and device, electronic equipment and a storage medium, in particular to the field of geophysical exploration technology and coal mine water control, and the method comprises the steps that firstly, drilling monitoring data of an actual drilling track in an Ordovician aquifer are obtained based on a drilling orientation instrument, and a drilling orientation instrument is established based on the drilling monitoring data; directional well design analysis software is utilized to obtain drilling control parameters corresponding to any measuring point in the actual drilling track; determining a section line corresponding to the actual drilling track according to the drilling design starting point and the drilling design end point corresponding to the actual drilling track; determining the projection length of any measuring point on the section line in the actual drilling track by using a vector projection method; and finally, drawing a profile map corresponding to the actual drilling track based on the projection length of any measuring point on the profile line and the vertical depth of any measuring point. Profile projection analysis of the actual drilling track of directional drilling can be achieved, the drawing efficiency is effectively improved, and it is guaranteed that the actual drilling position is at the designed target layer.

The present application relates to a kind of wind lidar real-time processing methods of space coupling, comprising the following steps: quality inspection is carried out to the power spectrum data obtained and data pre-processing is carried out;Radial velocity extraction is carried out to the power spectrum of multiple beam directions, multiple distance gates;Based on the spatial continuity of atmospheric wind field and the geometric law of vector projection, construct spatial coupling constraint;By joint optimization algorithm, the global objective function containing data fitting term and space constraint term is solved, and the optimal wind field estimation is obtained;Output three-dimensional wind field and carry out quality assessment.This method uses the spatial redundant information obtained by wind lidar multi-beam scanning to establish the coupling relationship between the measurement values at different spatial positions, and improves the wind field inversion accuracy, enhances the abnormal value suppression ability and ensures the spatial continuity of the inversion result by using the global optimization method.

The invention discloses a laser SLAM (Simultaneous Localization and Mapping) degradation treatment method based on dual threshold detection and adaptive compensation, which is applied to the technical field of degradation detection. Comprising the following steps: constructing a dual detection mechanism, ensuring the detection stability in a conventional scene by a static threshold value, adjusting a judgment standard by a dynamic threshold value, and realizing rapid identification of progressive and instantaneous degradation; designing a self-adaptive two-stage compensation strategy driven by degradation deviation, wherein first-stage compensation is based on a vector projection principle; and the secondary compensation dynamically weakens the influence of unreliable laser constraint according to the degradation deviation degree. According to the method, the severity of degradation deviation is quantified in real time based on a dual-threshold detection mechanism of scene feature real-time perception, starting and intensity adjustment of a compensation strategy are driven, and the dual detection mechanism and a two-stage compensation strategy are subjected to linkage design, so that the scene adaptability and detection comprehensiveness can be improved, the compensation intensity can be dynamically adjusted, and the detection accuracy is improved. And the pose estimation precision and robustness of the system are obviously improved.

The invention relates to the technical field of theoretical and computational chemistry, in particular to a method for predicting a chemical reaction by using orbital coefficient vector projection. Through the developed valence layer orbit coefficient vector projection method, coefficient vector projections in the overlapping direction of a plurality of possible valence layer orbits in molecules are calculated, so that activity indexes such as atom vector reaction indexes in different sites and different directions are obtained. By comparing the atom vector reaction indexes of different sites, the activity of the sites can be predicted, namely the possibility that atoms participate in the chemical reaction on the sites. By calculating atom vector reaction indexes, directional charge density and corresponding reaction energy barriers of different sites, the possibility of chemical reaction of a plurality of potential reaction sites in molecules can be quantitatively and directionally predicted, which has potential application value for solving the problems of reaction activity prediction, chemical selectivity control and the like in precise synthesis.

The invention relates to the cross technical field of geographic information science and environmental science, in particular to an urban carbon emission regression prediction method, which comprises the following steps: acquiring urban annual statistical data as original characteristics, and acquiring corresponding carbon dioxide emission; dividing a city latitude and longitude extreme value range into uniform grids, and calculating a coordinate deviation vector and an Euclidean distance from the city to a grid center point; carrying out vector projection on the deviation vector along three unit directions which form 120 degrees with one another, and combining geometric progression spatial frequency coding to generate a spatial embedded feature map; flattening the feature map, obtaining an original attention score through a full connection layer, and combining with spatial distance gating mask screening and merging to obtain a weighted feature; and splicing the weighted features and the original features to obtain an enhanced feature map, training the model, obtaining a carbon emission prediction model, inputting the enhanced feature map of the city to be predicted, and obtaining a carbon emission prediction value.

The present invention relates to a method for automatically generating pseudo samples for unsupervised change detection of multi-temporal remote sensing images, comprising: step 1: processing multi-temporal image data and projecting it into a two-dimensional polar coordinate domain; step 2: generating pseudo sample candidate regions based on statistical distribution characteristics of change vector projections in the polar coordinate domain; step 3: obtaining multiple types of pseudo samples with changes and no changes in the candidate regions by using a random sample generation method, and inputting them into a supervised classifier to realize binary change detection and multi-class change detection. Compared with the prior art, the present invention can generate pseudo sample training sets with different confidence levels without relying on prior information, and realizes automated and robust unsupervised remote sensing change detection with the help of a machine learning classifier.

The present invention relates to an irregular casting processing method based on vector projection deviation compensation, which belongs to the field of mechanical processing and manufacturing. The method comprises the following steps: selecting two mutually perpendicular surfaces A and B from the non-machined surfaces of a part blank; aligning Z and Y direction lines according to surfaces A and B, generating an X direction, and determining the initial position of the part blank in the X direction of the part coordinate system; clamping the part blank according to the lines in the X, Y, and Z directions, and performing rough processing; selecting a non-machined surface C, the normal of which is at an angle β with the X direction; measuring the actual wall thickness of the non-machined surface C of the part after rough processing, and simultaneously determining the theoretical wall thickness of the non-machined surface C on the part model; calculating the positional deviation of the non-machined surface C on the part relative to the non-machined surface C on the model in the X direction, and determining the position of the part blank in the X direction; processing the part after deviation compensation to complete the part processing. The present invention can achieve accurate fitting of the part blank with the three-dimensional model, providing a basic guarantee for qualified processing of the part.

This invention provides a method, system, and device for controlling a character on a sphere's surface. A coordinate system dynamic correction module calculates the direction from the sphere's center to the character's current position in real time to determine a local ascent vector. Based on this local ascent vector, the character's rotational posture is corrected so that the character's feet always face the sphere's center, and a local coordinate system is constructed using the local ascent vector. A vector projection module acquires the camera's direction vector and performs orthogonal projection processing on it using the local coordinate system to generate a tangential movement vector parallel to the tangential plane of the ground surface. This tangential movement vector is then used to drive the character to perform displacement operations. A terrain adsorption module responds to the displacement operations by emitting a probe ray based on the local ascent vector direction determined by the local coordinate system to perform sampling processing on the ground grid, acquiring the intersection point between the probe ray and the ground grid, determining the character's target height based on the intersection point, and correcting the character's position using the target height so that the character adheres to the ground grid in real time during movement.

The invention relates to a linear optical three-bit hypergraph state quantum combined measurement device and method, and the device comprises a beam splitting module which is used for carrying out the beam splitting of a target photon according to a polarization state; the first bit flipping module is used for flipping the polarization state of the second control photon; the first interference module is used for enabling the second control photons from the first bit flipping module to interact with the target photons from the beam splitting module; the second bit flipping module is used for flipping the polarization state of the photons from the first interference module; the second interference module is used for enabling the entering first control photons and the target photons from the first interference module to interact; the beam combining module is used for combining the target photons from the second interference module; and the detection module is used for carrying out base vector projection measurement on the first control photon, the second control photon and the target photon. According to the invention, three-bit hypergraph state measurement can be carried out on quantum states coded on three light quantum polarization bits in a spatial light path.

The invention relates to the technical field of big data processing, in particular to a natural environment monitoring method and system based on big data analysis, and the method comprises the following steps: collecting multi-dimensional data to generate a meteorological thermal feature set, comparing with a physical reference to construct a three-dimensional concentration distribution tensor, and generating an effective transmission load sequence in combination with a wind speed projection and an industrial load. The method comprises the following steps: constructing a pollutant transmission lag parameter based on cross-correlation analysis, synthesizing a transfer matrix by combining real-time multiplying power evolution, and outputting environment prediction data, and comprises the following steps: comparing meteorological thermal characteristics with a physical reference to generate a correlation weight, carrying out three-dimensional grid filling on pollutant data, and reconstructing a three-dimensional distribution form of an atmospheric environment. Calculating a wind speed vector projection, establishing a transmission weight, generating an effective transmission sequence in combination with an industrial load, quantifying a directional driving mechanism of an emission source to a monitoring point, locking a transmission lag parameter by utilizing cross-correlation analysis, and realizing dynamic prediction of an environment state in combination with a real-time transmission multiplying power evolution state transition matrix.

The invention belongs to the technical field of geographic information and location services, and particularly relates to a method, a device and equipment for efficiently calculating the distance between a location and a polygonal region, and the method comprises the following steps: obtaining coordinates (lat, lon) of a location point to be measured and a vertex sequence of the polygonal region; and judging whether the position point is located in the polygonal area or not by adopting a ray method. By optimizing a ray method and vector projection pre-screening, the calculation efficiency is remarkably improved, millisecond-level real-time response is achieved, latitude-division earth radius dynamic compensation and longitude convergence compensation algorithms are adopted, precision control is superior to a conventional level, hardware resources are deeply optimized, the requirements of embedded equipment are met, and the device has the dynamic scene self-adaptive capacity and is suitable for large-scale popularization and application. And full-stack compatibility and expansion are realized, a full-stack solution with millimeter-level precision is provided for scenes such as the Internet of Vehicles and industrial unmanned aerial vehicles, and the time delay is as low as 50 microseconds / point.

This application discloses a method for calibrating the optical axis pointing of a high-speed camera based on linear vector projection slope matching. The method simulates the projection of a calibration plate's linear vector onto the image plane and matches it with the actual extracted linear slope to directly calculate the azimuth and elevation angles of the optical axis pointing. First, a calibration plate with at least two non-parallel linear vectors distributed on its surface is fabricated, and a coordinate system is established using the calibration plate as a reference. Then, the calibration plate is photographed, and the image plane slope of the selected linear vector is extracted. The selected linear vector is simulated and projected onto the image plane to obtain a two-dimensional projection vector containing the azimuth angle A and the elevation angle E. Finally, the optical axis pointing parameters of the high-speed camera are calculated by matching the simulated projection slope with the actual extracted slope. This application also provides a method for verifying the correctness of the calibration results. This method decouples pose parameters, simplifies calibration plate fabrication and data processing, and provides accurate external parameter support for high-precision spatial attitude testing of high-speed recording equipment.

The articulation angle is an important characteristic to quantify for open loop control and / or closed loop control of a medical instrument comprising an elongated body. The articulation angle may be computed using various techniques including using inverse trigonometric functions on vector representations of elongated body poses. The technique may involve projecting the vectors onto a measurement plane having a normal vector. The technique enable differentiation between positive and negative articulation directions. Additionally, the technique can enable the articulation angle to be computed even for high articulation angles, e.g., more than 180 degrees. The so computed articulation may be used for open loop or closed loop control of the elongated body.

The invention provides a mine air volume measuring method and system based on optical section scanning, and relates to the technical field of mine safety monitoring and ventilation. The method comprises the following steps: establishing a measurement coordinate system of a to-be-measured roadway section, and performing discretization measurement on the to-be-measured roadway section through optical scanning to obtain a space coordinate and a scanning geometric parameter of each measurement grid point; resolving the radial wind speed of each measurement grid point point by point by adopting an optical coherent detection technology; based on the space vector projection relation, the radial wind speed of each measurement grid point is converted into the axial wind speed of the roadway; calculating an area infinitesimal element represented by each measurement grid point according to the scanning geometric parameters; and according to the obtained axial wind speed of the roadway and the represented area infinitesimal, performing weighted integration on all measurement grid points in the section of the roadway to be measured to obtain the total wind quantity of the roadway of the section of the roadway to be measured. According to the invention, non-contact, high-precision, rapid and direct measurement of the full-section air volume of the mine can be effectively realized.