10results about How to "Improve space coverage" patented technology

The invention discloses a landslide deformation early warning system and method, and belongs to the technical field of landslide deformation early warning. Nx clinometers are transversely arranged in a to-be-detected area, Ny clinometers are longitudinally arranged in the to-be-detected area, and Nz clinometers are vertically arranged in the to-be-detected area, so that a three-dimensional monitoring network is formed. According to the method, the space angle value of each inclinometer is extracted, a three-dimensional space angle value matrix is constructed, the transaction area is screened out according to the angle values, and the transaction coefficient is calculated. Thirdly, separating the three-dimensional space angle value matrix at each moment into a transverse-longitudinal angle matrix, a longitudinal-vertical angle matrix and a transverse-vertical angle matrix, and constructing a corresponding gradient matrix based on the angle matrixes at adjacent moments; and finally, the landslide deformation early warning subsystem processes the matrixes and adds a transaction coefficient for reinforcement to obtain a landslide deformation degree value at each moment. According to the invention, through multi-dimensional monitoring and accurate evaluation, the identification and early warning capability of the landslide risk is significantly improved.

The invention belongs to the technical field of acoustic monitoring systems, and provides a microphone array for monitoring a linear sound source, a monitoring system and a method, the microphone array comprises a plurality of microphones distributed along a part of a cylindrical surface, and the plurality of microphones are distributed along the axial direction of the cylindrical surface in a variable density manner; the partial cylindrical surface microphone array is adopted, so that the space covering capability of a linear sound source is remarkably improved; the distribution of the microphones on the cylindrical surface is determined according to nonlinear factors of array height and microphone number height distribution, optimal arrangement is realized in three dimensions of radial direction, angle and height, the spatial sampling efficiency of the array is remarkably improved, sampling points are effectively increased under the condition of the same number of microphones, and the sampling efficiency is improved. In combination with integrated optimization of a dynamic reconstruction adaptive array algorithm and array arrangement, the flexibility of adapting to different monitoring scenes is remarkably improved.

The application belongs to the technical field of reaction kettles, and particularly relates to a vertical stainless steel reaction kettle, which comprises a kettle body, a separation cover fixedly connected to the top of the inner side of the kettle body, a sliding connection hole formed in the bottom of the separation cover, a first sealing ring clamped on the inner wall of the sliding connection hole, a stirring shaft slidably connected to the sliding connection hole through the first sealing ring, and a transmission groove formed in the top end of the stirring shaft; a driving device is installed on the top of the kettle body, a driving shaft is fixedly connected to the output shaft of the driving device, a spline is arranged on the shaft surface of the driving shaft, and the driving shaft is slidably connected to the transmission groove through the spline; in the application, the downward guiding of the material by the first spiral blade and the upward pushing of the bottom material by the inclined paddle blade are combined with the lifting movement of the stirring shaft driven by the hydraulic cylinder and the first spring to realize the up-and-down convection circulation of the material in the kettle body, effectively prevent the deposition, eliminate the stirring dead zone, and improve the space coverage capacity of the first spiral blade.

The invention discloses a TVOC emission remote sensing monitoring method based on multi-source data driving, and the method comprises the following steps: analyzing related environmental factor data affecting TVOC emission according to the total concentration of TVOC measured on the ground in combination with various environmental factors; estimating and fitting an atmospheric methane vertical profile, and calculating a ratio of the surface methane concentration to the whole column methane concentration; establishing a TVOC emission model by using a Gaussian process regression algorithm by acquiring and matching each parameter; and measuring and calculating the TVOC emission amount of each grid in the monitoring range by using the model to obtain TVOC emission data fully covered by the monitoring area. The beneficial effects of the invention are that the method can obtain a high daily temporal-spatial resolution, greatly improves the spatial coverage of VOC emission data, meets the demands of regional refined monitoring, reduces the consumption of computing resources, improves the computing efficiency, can rapidly obtain the VOC emission data, and improves the reliability of the VOC emission data. The cost is greatly reduced; and the production efficiency is improved.

The invention discloses a cross-medium aircraft water strike bounce trajectory generation method based on proxy model prediction, and belongs to the field of aircraft trajectory planning. According to the method, a cross-medium aircraft trajectory generation problem is modeled into a nonlinear programming problem with constraint conditions, solving is carried out based on a pseudo-spectral method, a feasible air section flight trajectory meeting constraints is obtained, and the reliability of cross-medium aircraft trajectory generation is improved. Latin hypersquare design is used as a sampling method, input distribution can be accurately reconstructed through sampling comparison with limited iteration times, samples with higher space coverage rate are provided for construction of an agent model, modeling errors caused by the fact that a simplified model is used by a cross-medium aircraft are reduced, and the modeling accuracy is improved. And the prediction result of the state quantity of the aircraft after the water striking section has relatively high accuracy. According to the method, nonlinear mapping is carried out on the state quantities before and after the water striking section through the proxy model constructed through finite element software simulation, an accurate water striking section kinetic equation does not need to be deduced, and the calculation complexity caused by modeling is remarkably reduced.

According to the high-isolation antenna array based on the MEMS technology and the preparation method, the characteristic of high processing precision of the silicon-based MEMS technology is utilized, the size of the antenna array is accurately controlled, the performance consistency in the W wave band is ensured, the loss caused by processing errors is effectively reduced, the radiation efficiency and the gain stability of the antenna are improved, and the antenna array is suitable for large-scale popularization and application. The formed antenna array is miniaturized and high in integration level, batch production is facilitated, production cost is reduced, a shielding cavity formed by the third TSV columns and an isolation structure formed by the first TSV columns and the second TSV columns are designed, space coupling of signals in the transmission process from a radio frequency signal line to a feed probe is effectively restrained, and the antenna array is more compact in structure and more compact in structure. The antenna array isolation degree is improved, the performance of the antenna is remarkably improved, the performance deterioration caused by array pattern distortion and cross coupling change during large-angle beam scanning is effectively reduced by optimizing the antenna array layout and the low cross coupling design, a wider scanning angle range is supported, and the space coverage capacity of the antenna array is improved.

The application provides a kind of spaceborne conical scanning Doppler radar three-dimensional wind field inversion method and device, the method comprises: the radar observation strip area is divided into multiple sub-blocks, and there is area overlap between adjacent sub-blocks, and the horizontal wind field of each height layer is parameterized in each sub-block with piecewise continuity variation assumption;Variational method is used to obtain the optimal horizontal wind field parameter of each height layer in each sub-block, and the horizontal wind field in each sub-block is determined according to the optimal horizontal wind field parameter, the horizontal wind field of the corresponding position of each sub-block in the overlapping area is linearly weighted and fused to obtain the final horizontal wind field;The horizontal divergence is calculated according to the optimal horizontal wind field parameter of each height layer in each sub-block, and the vertical wind field is obtained by integrating the horizontal divergence in the height direction using the atmospheric mass conservation equation, and the vertical wind field of the corresponding position of each sub-block in the overlapping area is linearly weighted and fused to obtain the final vertical wind field.The application realizes the continuous and robust three-dimensional wind field inversion of spaceborne conical scanning Doppler radar.

The present invention proposes a method and system for filling atmospheric CO2 data using a feedforward neural network combined with time series changes. The method includes: learning the temporal and spatial variation law of CO2 in the atmosphere through a deep learning model, fitting the nonlinear relationship between auxiliary variables and CO2, and constructing a global CO2 distribution with high temporal and spatial resolution and high precision, that is, integrating satellite, ground-based and model data, which greatly improves the accuracy and coverage; adding the time variation of CO2 to the training set, the model can learn the time variation law of CO2 to a certain extent, and improve the accuracy. Use multiple simple models to construct a long-term series CO2 distribution to reduce the amount of calculation.

This invention relates to the field of coal mine microseismic monitoring technology, and provides a method for evaluating the stability of coal seam roof based on DAS microseismic monitoring. The method includes: S1: fiber optic cable deployment and data acquisition; S2: dividing the raw strain rate data into two parts: one part is used to extract low-frequency strain data (LF-DAS) through low-pass filtering; the other part is used to generate velocity data through velocity conversion; S3: microseismic event detection and candidate event screening; S4: first arrival picking and event quality control; S5: microseismic event location based on arrival time difference; S6: microseismic event attribute extraction; S7: borehole-fiber optic cable coupling quality evaluation; S8: roof stability feature construction; S9: roof stability risk index construction and classification evaluation; S10: roof risk deterioration trend determination and early warning output. This invention uses the strain rate data output by the DAS demodulator as a basis, constructs a dual-branch processing flow, and combines coupling quality correction and multi-index fusion evaluation to achieve quantitative evaluation and classification of the risk of roof failure in coal mining face roadways.

The invention provides an unorganized emission online monitoring method and system based on edge calculation, and relates to the technical field of environment monitoring, and the method comprises the steps: obtaining emission feature data of distributed sensing nodes, building an inter-node adjacency relation, carrying out the space-time dimension feature extraction, determining an abnormal score, and carrying out the detection of the abnormal score; and an emission source candidate position is searched based on actually measured concentration distribution and an emission state evaluation result, high and low frequency components are extracted through wavelet decomposition to analyze emission characteristics, an influence range boundary is determined in combination with meteorological parameters, and an emission early warning signal and a traceability positioning result are generated. Accurate monitoring, traceability positioning and early warning of unorganized emission are realized, and the environmental monitoring efficiency is improved.