50results about How to "Overcome the shortcomings of low precision" patented technology

The invention relates to a manufacture method for large size thin wall high accurate TC4 Ti alloy end plate. It adopts strong rotating and multi-times normal rotating method to insure the accuracy of product. It takes stability process between rough turning and refined turning to conquer the influence of residual stress of component and improve accuracy of product. The manufacture process does not need many moulds. It is suitable for manufacturing large size thin wall high accurate TC4 Ti alloy.

The invention discloses a human detection method. The human detection method includes the following steps that gradient histogram features are extracted in the depth color direction by the cooperation of color information with depth information; detection models are trained; region segmentation is conducted on test images, and the images are detected based on a segmentation result to obtain a candidate region (SR); the candidate region (SR) is verified based on edge detection. The human detection method based on color information and depth information is achieved, the obtained features comprise color information and depth information by the cooperation of feature extraction, outline edge information is enhanced, and then the features are more representative. Detection strategies based on different features and different classification models are used for different parts, and the defect that accuracy of long-distance objects shot by a depth camera is low is overcome. The verification method based on edge information is adopted, and then the detection result is more accurate.

The invention provides a microminiature inertial measuring unit, comprising an acceleration sensor unit, a signal conditioning circuit part, an A / D conversion module and a control and data processing part consisting of DSP chips, wherein the acceleration sensor unit comprises nine acceleration sensors arranged in a case and is positioned at the front end, output signals of the acceleration sensor unit are input to the A / D conversion module through the signal conditioning circuit; signals output by the A / D conversion module enter the control and data processing part consisting of DSP chips; and the control and data processing part comprises a data preprocessing module and an angular movement parameter calculation module; the data are preprocessed and relative movement parameters are then calculated and output by angular movement and linear movement parameter calculation methods. The device expands the application range of silicon micro-accelerometers, overcomes the shortcoming of low precision of silicon micro-gyroscope and calculates the angular velocity by using the measuring information of acceleration.

This invention provides a highlight spectrum multiple-end linear fitted mineral identification and mineralization indicate method which is based on mineral theory and wall rock alteration characteristics and chooses the alteration mineral indicating different kinds of mineral to form multiple-end compound. The selected multiple-end mineral group is linear fitted and any picture element correlation coefficient is made to be the maximum of the fitted mineral. In the highlight spectrum picture process, it uses matrix calculation to do multiple linear regressions fit and the fit parameter vector A serves as distribution weigh in the compound of the different ends. The weigh serves as the probability existed in the end and at same time denotes the relative abundance of the distribution end. It uses different end content as mineral model parameters and makes color graph and displays mineral distribution and identifies the mineral according to the larger weigh value.

The invention discloses a small wind turbine wing type aerodynamic robust optimization design method suitable for turbulent working conditions, belonging to the technical field of wind turbines. The invention adopts the non-embedded probability collocation point method in the design to realize the quantitative characterization of the turbulence intensity of the uncertain parameter. Through the improved Hick-Henne type function parameterization method, Latin hypercube test method and CFD numerical calculation method, the kriging agent model between design variables, uncertain parameters and themaximum lift-to-drag ratio of the airfoil is established. On this basis, a robust optimization mathematical model is established to maximize the mean value of the maximum lift-to-drag ratio and minimize the standard deviation of the wind turbine wing under uncertain turbulent conditions. The non-embedded probabilistic configuration point method, the kriging proxy model, and the NSGA-II optimization algorithm are used to optimize the wind turbine airfoil. The invention improves the maximum lift-drag ratio of the airfoil, reduces the fluctuation range, improves the wind energy capture efficiency, and enhances the aerodynamic robustness under the turbulent condition. At the same time, the computational workload of robust optimization design is reduced, and the optimization efficiency is improved, which provides an important reference for the optimization design of wind turbine wing under turbulent conditions.

The invention discloses a drilling geological design method of a compact sandstone lithology gas reservoir horizontal well, and belongs to the technical field of development of natural gas. Geological reservoir data is gathered; and a deploy area earthquake profile map, a sand body thickness chart, an effective reservoir thickness chart, a structural map, a gas reservoir profile map and a trajectory schematic diagram of the horizontal well are established through a technical step of precisely describing the geological reservoir data and predicting the earthquake gas bearing property to realize quantitative representation of reservoir space distribution so as to optimize and determine a trajectory target point of the horizontal well to give out a horizontal section target point design list of the horizontal well so as to provide the basis for the implementation of the horizontal well. The method overcomes the defect of low precision in a traditional geological analytical method, prevents the defects of troublesome operation and high difficulty in an oil and gas reservoir numerical value simulation method, has the characteristic of convenience for operation, and guarantees the sandstone drilling ratio of the drilled horizontal well above 75% and the effective reservoir drilling ratio above 55%.

The invention discloses a structure fracture non-probability reliability analysis method based on the fractal theory. The method includes the steps that the uncertainty effect of parameters such as load, material characteristics and geometric dimensions under limited sample conditions is considered first, an uncertainty parameter section is quantified, and points are collocated in the uncertainty parameter section; a self-similarity grid and a conventional grid discretization cracked structure are adopted, a point collocation section stress intensity factor analysis model of the cracked structure is set up, and the section range of stress intensity factors is obtained through solution; the uncertainty effect of fracture tenacity is considered, and a non-probability stress intensity factor intervene model is set up to obtain reliability of the cracked structure. The structure reliability is obtained accurately and efficiency, and objective and effective data is provided for structural design.

The invention provides an improved short-wave unit positioning method, and aims to provide a positioning method with the advantages of high-resolution positioning performance, small calculation amount, and high estimation precision. The improved short-wave unit positioning method is implemented by the steps of: acquiring a beam domain covariance matrix through solving an autocorrelation matrix based on beam domain output data; calculating eigenvalues and corresponding eigenvectors of the beam domain covariance matrix through decomposition, judging whether a signal source number exits, and determining signal source subspaces and noise subspaces corresponding to the signal source number, so as to obtain estimated values for automatic pairing of signal sources; then constructing a polynomialf(z) and solving roots of the polynomial f(z); solving a root high resolution spectrum, solving roots (on an approaching unit circle) of which the number is the same as that of dimension numbers of the signal subspaces, combining with array element data, beam number and corresponding physical parameters, performing external radiation signal source direction-of-arrival estimation, acquiring eigenvectors of the signal source number, performing deep learning, and adjusting positioning precision of a short-wave single station automatically.

The invention discloses a method for predicting upper and lower bounds of bounded uncertain plane crack stress intensity factors based on a fractal theory. According to a geometric model including a crack structure, the geometric model is divided into a conventional region and a fractal region of crack tips by using an artificial boundary to establish a bounded uncertain structural static force response solution model in the conventional region; a William's general solution is used as an interpolation function to establish a bounded uncertain structural static force response solution model in the fractal region; then, assembly is performed to obtain a whole bounded uncertain structural static force response solution model including a crack structure, the upper and lower bounds of bounded uncertain generalized coordinates are calculated by adopting a first-order Taylor expansion based interval analysis method, and further the upper and lower bounds of the bounded uncertain plane crack stress intensity factors are calculated. The upper and lower bounds of the bounded uncertain plane crack stress intensity factors are calculated are accurately and efficiently obtained by adopting the method, and objective and effective data is provided for reliability evaluation and design of structures.

The invention relates to a magnetic navigation device of a greenhouse operation platform, which utilizes a magnetic sensor to obtain a yaw signal and belongs to the technical field of agricultural operation machines. The magnetic navigation device comprises magnetic nails, an I-shaped support, magnetic signal acquisition devices and a microprocessor, wherein the magnetic nails are arranged on the ground along a walking route of the operation platform, the I-shaped support is fixed on the operation platform, the magnetic signal acquisition devices are respectively fixed on a front arm and a rear arm of the I-shaped support, and the microprocessor is fixed on a connecting rod in the middle of the I-shaped support and responsible for receiving and processing signals acquired from the magnetic signal acquisition devices, emitting a corresponding implementation command to the operation platform according to the processing result and controlling the operation platform to walk normally. The magnetic navigation device has low cost, strong anti-interference capacity and high practicality, and can greatly save the labor cost.

The invention provides a microminiature inertial-combined navigation parameter measuring unit and the measuring method thereof. The measuring unit comprises a cubic housing; nine accelerometers are arranged at the four peaks of the three intersectant sides of the cubic housing, and three accelerometers are respectively arranged on each one of the three intersectant sides; the side that is not provided with accelerometers serves as a power module backboard; and a PC 104 motherboard, an AD converter board, a digital compass and a GPS dash receiver are superposed on the power module backboard. The analog information output from each accelerometer is converted into digital signals through the converter board; the digital signals are input into the PC 104 for preprocessing the sampled data; the resolving method of angular motion and linear motion parameters is used for resolving the angular velocity, angular acceleration and linear acceleration; the GPS receives the navigation positioning parameters output from modules and navigation attitude parameters output from the digital compass, and then inputs the parameters into the PC 104; and auxiliary accelerometers measure the information and reckons the ship location. The measuring unit is used for measuring the angular velocity, linear acceleration, location, velocity, heading and horizontal inclination angle of moving carriers.

The invention discloses a textile radiation-proof property testing method. According to the method, under the conditions of certain temperature and humidity, textile fabric is placed between a signal source and a signal receiver, the obtained signal strength is compared with the signal strength under the condition that no textile fabric is placed, calculation formulas are selected according to data collection units, and the electromagnetic shielding effectiveness or the signal attenuation rate is calculated. The radiation-proof property of the textile fabric is evaluated quantitatively. The method adopts a shielding room method, and defects that a far field method and a near field method are affected by testing materials and the repeatability is poor are overcome with adoption of a self-designed test system; defects that the near field method is affected by operation errors, the accuracy is low and the like are overcome; the experimental repeatability is good, and the test result is accurate and reliable.

The invention relates to a real-time prediction method of subway train paths. The real-time prediction method includes the following steps of generating a topology structure diagram of track traffic network based on the planned running parameters of trains; analyzing the controllability and the sensitivity of the train flows based on the topology structure diagram; generating the non-conflict running paths of trains based on the planned running parameters of the trains; and predicting the running positions of the trains in some future time based on the current running states and the historical position observation sequences of the trains at every sampling time. According to the invention, the movement path prediction precision of the subway trains is high.

The invention relates to a subway train collision early warning method. The subway train collision early warning method comprises the following steps that a topology structural chart of a track traffic network is generated according to planned running parameters of trains; controllability and sensitivity of train flow are analyzed based on the topology structural chart; a multi-train non-collision running track is generated according to the planned running parameters of the trains; the running positions of the trains at some time are predicted at each sampling time based on the current running state of the trains and the historical position observation sequence, an observer from the continuous dynamic state of the trains to the discrete collision logic is established, and the continuous dynamic state is mapped into the collision state expressed through the discrete observation value; and when it is possible for a system to violate the traffic control rule, the hybrid dynamic state of the subway traffic hybrid system is monitored, and alarm information is provided for a control center. The subway train track is predicted in a rolling and real-time manner, an effective early warning can be achieved for the train collision, and the safety of subway traffic is improved.

The invention relates to a method for early warning of a conflict between subway trains. The method comprises the following steps: firstly, generating a topological structure chart of a rail traffic network according to planned running parameters of each train; then on the basis of the topological structure chart, analyzing the controllability and the sensibility of a train flow; then generating conflict-free running tracks of a plurality of trains according to the planned running parameters of each train; then at each sampling moment, on the basis of current running states and historical position observing sequences of the trains, forecasting advancing positions of the trains at some moment in the future, establishing an observer for the logic of a continuous dynamic state to a discrete conflict state of the trains, and mapping the continuous dynamics into conflict states expressed by discrete observation values; and when a system has the possibility of violating traffic control rules, dynamic mixed behaviors of a mixed subway traffic system are monitored, and warning information is provided for a control center. Through the adoption of the method disclosed by the invention, the tracks of the subway trains can be cyclically forecast in real time and train conflict early warning can be given effectively, so that the safety of subway traffic is improved.

The invention discloses an infrared large-area-array multi-module automatic splicing mechanism. The infrared large-area-array multi-module automatic splicing mechanism is formed by a focal plane splicing substrate, a large-area-array detector module, a large-area-array infrared detector splicing mechanism, a fine-tuning piezoelectric stepping motor and a fine-tuning piezoelectric rotation motor. The mechanism is characterized by firstly, positioning and punching the focal plane splicing substrate and coating a low temperature glue; installing a plurality of area-array detectors on the substrate; using an infrared focal-plane large-area-array multi-module centering splicing mechanism to realize horizontal plane and Z shaft height direction high precision adjusting; then, carrying out normaltemperature solidification on the splicing substrate and a plurality of infrared detector modules; and finally, separating the infrared focal-plane multi-module centering splicing mechanism from thefine-tuning stepping and rotation motors with a large-area-array infrared detector so that three-dimensional splicing of the multi-module large-area-array infrared detector is completed. In the invention, high-precision automatic centering splicing among the plurality of detector modules can be realized, precision is high and repeatability is good, simultaneously, a large scale area array module can be individually replaced and maintainability is good.

The invention relates to a method and a system for processing four-dimensional seismic data, belongs to the field of geological detection and particularly relates to a method and a system for processing four-dimensional seismic data in detection of coal field goafs. The method and the system are capable of monitoring changes of coal mining activities and goafs according to the change of amplitudeof vibration along with time lapse based on formation characteristics of the coal field goafs by taking a four-dimensional seismic technology for monitoring reservoir development and CO2 storage, determining the range of the coal mining activities in the time period according to changes of the range and the shape of the amplitude of vibration, deducing whether the coal mining activities exist under the ground in the period and deducing the used coal mining methods and coal mining speeds.

The invention relates to a detection method of air permeability of tipping paper based on a least square support vector machine, which belongs to the field of information processing technology. According to the invention, the perforation area of perforated tipping paper is selected as input; acquired data is subjected to normalization so as to obtain a sample set; particle swarm optimization is employed to select the parameters and penalty coefficient of a kernel function; a tipping paper air permeability detection model is established by using a least square support vector machine method; and the detection method realizes high-precision and high-efficiency detection of the air permeability of the tipping paper and is of great significance to realization of on-line detection and intelligent control of the air permeability of the tipping paper.

The invention relates to a subway traffic flow optimization control method. The method comprises the following steps that a topology structural chart of a track traffic network is generated according to planned running parameters of trains; controllability and sensitivity of train flow are analyzed based on the topology structural chart; the multi-train non-collision running track is generated according to the planned running parameters of the trains; the running positions of the trains at some time are predicted at each sampling time based on the current running state of the trains and the historical position observation sequence, an observer from the continuous dynamic state of the trains to the discrete collision logic is established, and the continuous dynamic state is mapped into the collision state expressed through the discrete observation value; when it is possible for a system to violate the traffic control rule, the hybrid dynamic state of the subway traffic hybrid system is monitored, and alarm information is provided for a control center; and finally when the alarm information occurs, the robustness double-layer planning is carried out on the train running track through a self-adaptation control theory method, and a planning result is transmitted to the trains.

The invention belongs to a method for manufacturing a head, in particular to a method for manufacturing a large-sized thin-walled high-precision TC4 titanium alloy head. It is characterized in that it adopts the spinning method of strong spinning, multi-pass general spinning, and strong spinning again, which overcomes the shortcomings of low precision of stamping or forging parts and improves the precision of products; stabilizes between rough turning and finishing turning The processing overcomes the influence of the residual stress of the parts and also improves the precision of the product. In addition, since multiple sets of molds are not required in the manufacturing process, the manufacturing cost is reduced. The invention is suitable for the manufacture of large-scale thin-walled high-precision TC4 titanium alloy.

The invention discloses a drilling geological design method of a compact sandstone lithology gas reservoir horizontal well, and belongs to the technical field of development of natural gas. Geological reservoir data is gathered; and a deploy area earthquake profile map, a sand body thickness chart, an effective reservoir thickness chart, a structural map, a gas reservoir profile map and a trajectory schematic diagram of the horizontal well are established through a technical step of precisely describing the geological reservoir data and predicting the earthquake gas bearing property to realize quantitative representation of reservoir space distribution so as to optimize and determine a trajectory target point of the horizontal well to give out a horizontal section target point design list of the horizontal well so as to provide the basis for the implementation of the horizontal well. The method overcomes the defect of low precision in a traditional geological analytical method, prevents the defects of troublesome operation and high difficulty in an oil and gas reservoir numerical value simulation method, has the characteristic of convenience for operation, and guarantees the sandstone drilling ratio of the drilled horizontal well above 75% and the effective reservoir drilling ratio above 55%.

The invention relates to a subway traffic flow optimization control method. The method comprises the following steps that a topology structural chart of a track traffic network is generated according to planned running parameters of trains; controllability and sensitivity of a train flow are analyzed based on the topology structural chart; a multi-train non-collision running track is generated according to the planned running parameters of the trains; the running positions of the trains at some time are predicted at each sampling time based on the current running state and the historical position observation sequence of the trains, an observer from the continuous dynamic state of the trains to the discrete collision logic is established, and the continuous dynamic state is mapped into the collision state expressed through the discrete observation value; when it is possible for a system to violate the traffic control rule, the hybrid dynamic behavior of the subway traffic hybrid system is monitored, and alarm information is provided for a control center; and finally when the alarm information occurs, the robustness double-layer planning is carried out on the train running track through a self-adaptation control theory method, and a planning result is transmitted to the trains.

The invention discloses a real-time monitoring system for concrete abrasion and cavitation depth based on a chirped optical fiber grating. The system includes a concrete structure surface, a chirped optical fiber grating sensor unit, a data communication module, and a computer monitoring unit; the chirped optical fiber The sensor group in the grating sensor unit is pre-embedded in the concrete perpendicular to the concrete surface during the construction of water conservancy and hydropower projects, and the top of the sensor group is flush with the concrete surface. Concrete erosion caused by water flow cavitation and other reasons; the end of the sensor group is connected to the computer monitoring unit through the data communication module, and the data communication module and the computer monitoring unit are connected by serial port. The invention has high testing precision, and its single-point depth measurement can reach sub-mm precision. The invention has the advantages of stable work, accurate information, intuitive display, and expandable use.

A hypersonic velocity target acceleration testing method is mainly used for solving the problems that the acceleration testing precision of the A hypersonic velocity target in the prior art is not high and the measurable scale is small. The method includes steps of (1) receiving echo data; (2) mixing treatment; (3) matched filtering; (4) phase difference of frequency domain; (5) structuring a spectrum coordinate matrix; (6) spectrum peak searching method; (7) calculating target acceleration; (8) outputting target acceleration to the system. By applying the frequency domain phase differential method, the acceleration factor in the echo signal phase can be effectively extracted, so that the method is high in accuracy and low in calculation complexity. By applying the spectral line searching method, the contradiction of acceleration fuzzy and maximum measurable acceleration can be effectively solved, thus the method has the advantage of big measurable zone. Through the treatment in the two-dimensional frequency domain, the invention is applicable to low signal-to-noise ratio.

The invention relates to a real-time prediction method of a metro train track based on a robust strategy, comprising the following steps: firstly, generating a topological structure diagram of a railtransit network according to the planned operation parameters of each train; then, analyzing the controllability and sensitivity of train flow based on the topology diagram, then, according to the planned operation parameters of each train, generating the collision-free operation trajectories of multiple trains, at each sampling time, predicting the train's future travel position based on the train's current running state and historical position observation sequence. The method has a high precision for predicting the trajectory of metro train.