51results about How to "Reduce data collection time" patented technology

A system is provided for rapidly ascertaining the position of a pulse train emitter such as a radar using multiple collectors without requiring more than one platform to measure the same pulse. Thus time-of-arrival measurements at a number of collecting platforms are performed, with the positions of the platforms being accurately ascertainable using GPS data, and with time synchronization between the spaced-apart collectors performed by utilizing atomic clocks. In the multi-ship case, geolocation can be performed on ten milliseconds of data as opposed to 30 seconds of data for measurements involving a single platform. The subject system is preferable to conventional time-difference-of-arrival geolocation systems because those systems require that each of the collecting platforms measure the same pulse from the emitter, which severely constrains the flight paths of the collectors, limits the amount of usable data, and increases the system's sensitivity requirements.

The invention discloses a reliability test platform for a radial hydrostatic bearing. The reliability test platform for the radial hydrostatic bearing comprises a test platform support, a radial hydrostatic bearing assisting device, a regular Z-directional loading device, a negative Z-directional loading device, a regular Y-directional loading device, a negative Y-directional loading device and an automatic control device. According to the test platform, four sets of hydraulic loading devices are adopted to simulate dynamic and static pressure load of the radial hydrostatic bearing as well as loading within 360 degrees in the radial direction; the reliability test simulating the real working condition is performed for the tested radial hydrostatic bearing; in addition, the fault data are acquired in real time; therefore, practical foundation data are provided for later reliability evaluation, reliability modeling and reliability predicating, and as a result, the data acquiring time can be greatly shortened.

The invention provides a GIS-based electromagnetic wave automatic monitoring and analysis system, which comprises an electromagnetic wave field intensity indicator data acquisition and processing module, a manual input module, a GPS data acquisition and processing module, a real-time curve module, a database module, an electronic map display module, a data display module, an isoline module and a cover analysis module. The system realizes the real-time receiving and coverage analysis of electromagnetic signals, can complete the real-time acquisition process of the field intensity data and space orientation data, draws the real-time curve of the field intensity along with the change of time, and monitors the display of the driving track of a vehicle and the drawing of an overlay of the field intensity. Field intensity monitoring equipment, geographic information and the database are integrated on the monitoring vehicle so as to complete the automatic real-time acquisition and analysis work of the information, thus greatly shortening the data acquisition time and drawing accuracy, and being beneficial to the comparison and inquiry on historical data.

The invention discloses an RCS extrapolation method based on near field MIMO imaging, belonging to the technical field of electronics. The building of a large anechoic chamber is not needed, and the testing cost is greatly saved. Compared with traditional RCS extrapolation technology, the near field MIMO imaging technology is used in the invention, a data acquisition time is significantly reduced, the testing speed is improved, and the application range is wider.

The invention belongs to the technical field of mechanical machining equipment reliability tests, and relates to a system for testing the reliability of a transverse working table of a traverse-head contour shaping machine for simulating dynamic and static cutting loads. The defect that the loading reliability test problem of a transverse working table of a traverse-head contour shaping machine ina simulated actual working condition cannot be realized by an existing reliability test device in the prior art can be overcome. The system comprises a X-direction loading part, a Y-direction loadingpart, a Z-direction loading part and a loading auxiliary part. The X-direction loading part comprises a rack, a gear, a torque sensor and a hydraulic pump. The Y-direction loading part comprises twosets of Y-direction piezoelectric ceramic loading devices. One set of the Y-direction piezoelectric ceramic loading device is installed at the right upper corner position of a to-be-tested workbench.The other set of the Y-direction piezoelectric ceramic loading device is installed at the right lower corner position of the to-be-tested workbench. The Z-direction loading part comprises a Z-direction piezoelectric ceramic actuator, a Z-direction tension and pressure sensor, and a Z-direction linear bearing. The auxiliary loading workbench of the loading auxiliary part is fixed on the to-be-tested workbench.

The invention belongs to the technical field of molecular imaging, and discloses a method for selecting feasible regions of fluorescent molecular tomography objects. The method comprises the followingsteps: carrying out global reestablishment; selecting the feasible regions by using an iteration self-organization data analysis technology algorithm; reestablishing the fluorescent objects on the feasible regions, if the reestablishing quality can not satisfy the requirements, skipping to the iteration self-organization data analysis technology algorithm for selecting the feasible regions, otherwise, displaying the final reestablishment result, and finishing the reestablishment. The method is suitable for an optical molecular tomography imaging system for reestablishing multiple object fluorescence sources, the needed fluorescence measurement data is little, the iteration self-organization data analysis technology algorithm is adopted for carrying out partition selection of the feasibleregions, and thus the accuracy in selecting the feasible regions in the reestablishment of multiple objects is improved. According to the technical scheme, through multi-stage reestablishment, the pathogenicity of the reconstruction problem is reduced, the reestablishment quality of the fluorescent molecular tomography is effectively improved, and the method has the significant application value in the fields including the optical tomography three-dimensional reconstruction algorithm.

The invention relates to a heavy numerical control planing machine mobile workbench reliability test device, belongs to the technical field of heavy mechanical machining equipment reliability test, and overcomes the problem that only the no-load operation test or the field reliability test can be performed on the heavy numerical control planing machine at present. The test stand comprises a counterweight inertial loading part, a loading auxiliary part, an X-direction loading part, a Y-direction loading part, a Z-direction loading part and an automatic control part. X-direction, Y-direction andZ-direction high-frequency cutting force loading on the workbench can be realized by using the piezoelectric ceramic actuator, X-direction static and low-frequency cutting force loading on the workbench can be realized by using the magnetic powder brake and Y-direction and Z-direction static and low-frequency cutting force loading on the workbench can be realized by using the hydraulic servo oilcylinder.

The embodiment of the invention relates to an ultra-wideband through-wall radar learning imaging method, device and system and a readable storage medium. The method comprises the following steps: acquiring echo scattering data of a hidden target; removing wall echo and noise of the echo scattering data; constructing a Fourier transform fast operator according to a diffraction tomography algorithm;constructing a compressed sensing sparse reconstruction model based on the echo scattering data and the Fourier transform fast operator; and expanding a sparse reconstruction iterative algorithm intoa multi-layer neural network structure, and training hyper-parameters in the network model through a training data set. Through the random downsampling of the echo data, the frequency domain data acquisition amount of the system is greatly reduced, and the data acquisition time of the system is reduced; a Fourier transform fast operator is constructed, so that the memory required by algorithm operation is reduced; through the data-driven intelligent learning of network model hyper-parameters, the calculation complexity is reduced, the limitation of iteration time consumption of a sparse reconstruction method is avoided, and the imaging quality is improved.

The invention relates to the field of integrated circuits, and provides a direction navigation method and device based on fingerprint recognition, and a fingerprint image sensor. The method comprisessteps of setting multiple navigation regions in a pixel region of the fingerprint sensor; scanning the navigation regions for many times successively, and correspondingly generating a group of navigation data for each scanning; according to each group of the navigation data, judging pressing states of each navigation region during each scanning; and according to change of the pressing states of the navigation region during the successive scanning, judging the navigation direction and executing navigation instructions. According to the invention, by setting the navigation regions in the sensor,and replacing the software with the hardware in a navigation data position reporting manner, the navigation direction is judged in an image comparison mode, so judgment of the navigation direction isachieved quite rapidly and precisely and precise calculation of finger sliding speed is achieved.

The invention relates to the technical field of electric cooker detection equipment, in particular to an intelligent detection device and a system for the energy efficiency of an electric cooker. Thedevice comprises a platform frame, the platform frame is provided with a placing plate used for horizontally placing the electric rice cooker, a cover body used for covering the electric rice cooker is arranged over the placing plate, and the cover body is movably arranged and moves up and down in the vertical direction; and a thermal resistance sensor for detecting the temperature of the inner container of the electric cooker is arranged at the bottom of the cover body. Meanwhile, the system is based on the device and comprises a controller, a temperature detection module, an electric quantity detection module and a weight detection module, and the temperature detection module, the electric quantity detection module and the weight detection module are electrically connected with the controller. The temperature detection module is controlled by the controller and used for detecting the temperature of water in an inner container of the electric cooker. The electric quantity detection module is controlled by the controller and comprises a current detection unit and a voltage detection unit which are respectively used for measuring the working current and the working voltage of the electric cooker; the weight detection module is controlled by the controller and used for measuring the weight of water in the electric cooker.

The invention discloses a method and system for wide view field micro-imaging based on FPM. The method comprises the following steps: arranging a plurality of LEDs as a plurality of concentric circles on an LED panel; acquiring a radius of each concentric circle in the plurality of concentric circles and confirming the quantity of arranged layers and the quantity of the LEDs in each layer; acquiring the arranging angles of the LEDs in each layer; iterating, thereby acquiring an optimal LED panel distribution structure; taking the optimal LED panel distribution structure as a light source; and acquiring an imaging result through a frequency domain laminating splicing microscope FPM system. According to the method, a circular LED array is introduced, so that the exposure times are reduced, the imaging efficiency is increased, and the method is simple and is easily realized.

The invention discloses a single-lens unmanned aerial vehicle flight parameter setting method. The method comprises the steps of: determining the type of a construction site; acquiring a plurality ofpictures of a to-be-measured construction site; respectively recording dynamic flight parameters of the single-lens unmanned aerial vehicle at a first position and a second position in the heading direction and the lateral direction; calculating the course flight range, the lateral flight range and the flight height of the single-lens unmanned aerial vehicle; and establishing a point cloud model of the construction site according to the course flight range, the lateral flight range and the flight height set in the construction site. According to the method, the proper course flight range, theproper lateral flight range and the proper flight height are set according to different construction sites, the picture collection amount is reduced, the data collection time and the point cloud modelestablishing time are effectively shortened, the working efficiency is improved, and the established point cloud model meets the specification requirements and can be effectively applied to actual construction.

The invention belongs to the technical field of robots and artificial intelligence, particularly relates to a quick imitation learning method, system and equipment for robot skill learning, and aims to solve the problems that teaching data collection of an existing robot is time-consuming and complex, and when a demonstrator provides suboptimal teaching, the robot cannot optimize the execution process, and the teaching efficiency is high. The operation efficiency of the robot is reduced, and the operation time is prolonged. The system method comprises the following steps: collecting original teaching data; in combination with a pre-trained evaluator, extracting key frame teaching data from the original teaching data set through a preset key frame extraction method; and based on the key frame teaching data, controlling the robot to reproduce teaching through the trained control strategy model. According to the method, the data collection process during robot imitation learning can be simplified, the teaching track is optimized based on the performance of the robot control strategy model, the data collection time and the robot operation time are shortened, the efficiency of robot imitation learning is effectively improved, and the operation time is shortened.

The invention discloses a cross-mode electroencephalogram signal identification method considering individual differences. Unifying an electroencephalogram signal data format into a 3D tensor structure, then dividing electroencephalogram signals into a data set, and inputting the electroencephalogram signals into classifiers formed by branch networks for training so as to respectively extract background features and task features; using the extracted background features to calculate the similarity between different subjects, and screening data in the data set to avoid model negative lifting caused by electroencephalogram signal data of which a difference degree is greater than a threshold value in a training process; finally, inputting the screened data set into a multi-branch network model for training. According to the method, features of different subjects can be better extracted while a small amount of new subject data is collected as much as possible, so that the performance of the model in cross-subject tasks is improved.

The invention provides a meter reading method, a meter reading device and electronic equipment. The method comprises the following steps: receiving a shot video sent by a terminal, wherein the shot video is obtained by shooting a display screen of a meter by the terminal; obtaining a target image from the shot video; obtaining a target area in the target image; and identifying the target area to obtain a reading. Therefore, the meter reading device can obtain the reading according to the shot video sent by the terminal, the time of a worker for carrying out data acquisition on the electricity meters one by one can be saved, and the meter reading efficiency is improved.

In a method of inspecting a structure, a first ultrasonic signal generated from a target structure by a first laser beam is received. The first ultrasonic signal is generated by providing the first laser beam generated from a first excitation unit to the target structure. A second ultrasonic signal generated from the target structure by a second laser beam different from the first laser beam is received. The second ultrasonic signal is generated by providing the second laser beam generated from a second excitation unit to the target structure. A third ultrasonic signal generated from the target structure by the first and second laser beams is received. The third ultrasonic signal is generated by simultaneously providing the first and second laser beams to the target structure. It is determined whether the target structure is damaged based on first, second and third ultrasonic frequency spectra that are obtained by converting the first, second and third ultrasonic signals, respectively.

The invention discloses an anti-foot-pressing detection method and terminal, and the method comprises the steps: obliquely and downwards installing single-point lasers in front of a robot, and downwards installing the single-point lasers in the positions, close to the left and right rear wheels, in front of the left and right rear wheels and away from the left and right rear wheels, in front of the left and right rear wheels; the feet of a person can be detected through the single-point laser installed obliquely downwards and the single-point laser away from the left wheel and the right wheel, and due to the fact that the single-point laser for detecting the feet has a certain distance from the left wheel and the right wheel, timely braking after the feet of the person are detected is facilitated; in order to prevent foot pressing, the single-point laser close to the left and right wheels only detects the height of an obstacle, the time of data acquisition and data processing can be shortened, the robot can stop in time when the single-point laser close to the human foot and far away from the left and right wheels does not detect the human foot, the human foot suddenly stretching into the vehicle bottom is prevented from being pressed, and foot pressing accidents are avoided.

The invention discloses a method for detecting mesotrione, ametryn and halosulfuron-methyl in sugarcane. A high performance liquid chromatography-mass spectrometry method is adopted for detection, therecovery rate of mesotrione in a sugarcane matrix is 92.9%-103.0%, and RSD is 1.1%-1.4%; the recovery rate of the ametryn is 101.0%-103.0%, and the RSD is 0.6%-0.7%; and the recovery rate of the halosulfuron-methyl is 105.0%-114.0%, and the RSD of is 0.7%-2.0%. A reliable detection method is provided for researching the change condition of the residual quantity of sugarcane after the three medicines are applied, and meanwhile, the blank that mesotrione, ametryn and halosulfuron-methyl in a sugarcane matrix cannot be simultaneously detected by an existing method is filled.