49results 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.

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 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 discloses a method of determining an anti-skid brake control device vibration weak link. The anti-skid brake control device vibration weak link is determined through a computer technology, and a design improvement proposal is brought forward according to the determined vibration weak link. The method of the invention has the beneficial effects that the energy consumption is low; test samples for the anti-skid brake control device are saved; and the energy-saving and consumption-reducing effects are obvious.

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 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 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 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.