36results about How to "Realize fine detection" patented technology

The invention discloses a networking detection method and system based on array weather radars, and relates to the field of phased array weather radars. The system comprises a data processing center and N array weather radars, N is greater than or equal to 3, the N array weather radars are distributed according to a preset triangular rule, and any three adjacent array weather radars are located atthree apexes of a triangle. The N array weather radars are used for synchronously scanning and detecting weather phenomena within the detection range, the data processing center is used for controlling the N array weather radars and obtaining detection results. According to the networking detection method and system based on the array weather radars, full-airspace three-dimensional wind field information within the observation range can be effectively obtained, the microburst phenomenon is effectively monitored, the existing meteorological observation level is greatly improved, and the application requirements of meteorological research and guarantee and the like are met.

A bearing fault detection method includes six steps of collecting signals, obtaining the fault character frequency, conducting analysis, conducting filtering, extracting thresholds and distinguishing faults. The method has the advantages that the characteristic result of an envelope spectrum is extracted by comprehensively using a power spectrum and wavelet conversion, whether a line spectrum in the bearing detection process is an interference spectrum or a fault line spectrum is judged, and the bearing detection efficiency and accuracy are effectively improved. The method is simple, small in calculation amount and easy to achieve, the detection result can be displayed in a computer in real time, and the automated and intelligent bearing detection is completely achieved.

The invention provides a fault detecting device and method for an electric vehicle and a high-voltage interlocking system thereof. The high-voltage interlocking system comprises a high-voltage connecting plug-in member, a male end of the high-voltage connecting plug-in member is provided with a first contact and a second contact, a female end of the high-voltage connecting plug-in member is provided with a third contact and a fourth contact, the first contact cooperates with the third contact, the second contact cooperates with the fourth contact, the device comprises a voltage dividing unit,a first signal collecting end, a second signal collecting end and a control unit, the control unit respectively collects voltages of the first signal collecting end and the second signal collecting end to generate a first voltage value and a second voltage value, according to the first voltage value and the second voltage value, a connection status of the high-voltage connecting plug-in member isjudged, thereby effectively detecting the abnormal connection of the high-voltage connecting plug-in member, a strong guarantee for the subsequent development of refined fault handling measures is provided, and the driving experience of a driver is improved.

The invention discloses an infrared weak and small target detection method based on space-time joint local contrast, and relates to the field of infrared image processing and weak and small target detection. The method comprises the following steps: S1, constructing a sliding window with the size of 3*3, traversing a kth frame of image of an original sequence image, and obtaining a spatial domainlocal contrast response graph of the kth frame of image through spatial domain filtering; S2, calculating a variance value St of a continuous frame image, and obtaining a time domain local contrast response graph of the kth frame of image through time domain filtering in combination with variance value images of three adjacent frames of images; and S3, performing normalization processing on the time domain detection result and the space domain detection result, and combining the time domain detection result and the space domain detection result in a multiplicative fusion mode to obtain a space-time joint local contrast response of the kth frame of image. According to the method, spatial information and time information are fully utilized, the problems of low infrared weak and small targetdetection precision, scene robustness and the like caused by an existing method are solved, the detection performance and the low false alarm rate in infrared weak and small target detection under a complex background are improved, and the robustness of an algorithm is improved.

The invention discloses an inertial navigation assisted meteorite crater coarse-to-fine detection method, and belongs to the technical field of deep space exploration. The implementation method comprises the following steps: achieving meteorite crater image feature edge coarse extraction based on bright and dark region information; and searching the matching degree of the template and the image features by using fast Fourier transform so as to achieve coarse positioning of the area where the image features are located. Inertia measurement information is introduced to calculate the overlappingarea between images, the template shape is updated, and a search area is predicted. Fine detection of the single meteorite crater is achieved in the area where the single meteorite crater is located,so that topography information of a landing area is sensed, and accurate and safe landing of the lander is guaranteed. According to the method, the difficulties that the features cannot be detected and the recognition efficiency is low due to affine transformation and information redundancy among the sequence image features can be solved. The method is not only suitable for planet landing and small celestial body detection tasks, but also suitable for moon detection tasks.

The invention discloses a full-polarization laser radar system used for detecting shapes of particles. The laser radar system comprises a polarization light generation system, a receiving system, a polarization analysis system and a data acquisition processor. The invention also discloses a detection method of the full-polarization laser radar system used for detecting shapes of particles. The detection method is characterized in that by use of the full polarization laser radar system to carry out detection, an atmosphere back scattering Miller matrix is obtained; and then the atmosphere backscattering Miller matrix carries out detection on atmosphere particle shapes. According to the invention, by use of all-directional linear polarization laser and circular polarization laser to detectaerosol particles, fine discrimination and detection are performed on the shapes of atmosphere particles; fine measurement is performed on cloud particles in the atmosphere; and the method is used foranalyzing ice water phase states of the cloud particles and particle guidance in cirrus cloud.

The invention relates to the field of underwater operating robots, and provides an underwater autonomous operating robot which is suitable for acoustic and optical detection of various underwater operating surfaces, and an operating method of the underwater autonomous operating robot. The underwater autonomous operating robot comprises an energy power module, a mechanical structure design module,an appearance design module, a master control module, a power propelling module and a functional module, wherein the master control module comprises a strong-current electronic control cabinet and a weak-current electronic control cabin; the power propelling module comprises at least two side thrusters, at least two vertical thrusters and at least one longitudinal main thruster; and the functionalmodule comprises a doppler velocity sonar, an imaging sonar, an optical camera integrated with an LED lamp, an optical communication MODEM, a depth and height meter, a front-end cloud deck and a rear-end cloud deck. The underwater autonomous operating robot provided by the embodiment of the invention is wider in detecting range, is more flexible in detecting way, and can realize autonomous operation.

The invention relates to a meteorological detection method and system of a three-dimensional wind field. The meteorological detection method comprises the steps that each phased array weather radar detects an instruction according to a receiving mode, and scans an equilateral-triangle-shaped detection area at the same time; the intensity data and the velocity data which are obtained through scanning are sent to a control processing center; the intensity data is fused to obtain a reflectivity factor, and meanwhile, the velocity data is subjected to vector synthesis to obtain a velocity vector field; according to the reflectivity factor and the velocity vector field, the three-dimensional wind field is determined; the position where microburst occurs is detected in the three-dimensional windfield. The invention further provides the system. The system comprises the three phased array weather radars and the control processing center. The equilateral-triangle-shaped detection area is builtthrough the meteorological detection method, and a weather radar detection area is synergistically detected to obtain the data, so that it is achieved that whole-airspace meteorology targets in an observation space range are accurately detected, and the more precise three-dimensional wind field is generated to greatly improve an existing meteorological observation level.

The invention discloses a Raman laser radar system for surface layer non-blind area atmospheric temperature detection. The Raman laser radar system comprises a laser emission subsystem, a lateral telescope receiving and light splitting subsystem and a data acquisition and inversion subsystem. The laser emission subsystem can emit laser with a specific wavelength, and the laser is vertically emitted to the atmosphere; the lateral telescope group receiving and light splitting subsystem is used for receiving, separating, extracting, detecting and extracting pure rotational Raman scattering echo signals relative to the lateral scattering high and low quantum number channel of the laser emission spectrum; and the data acquisition and inversion subsystem is used for acquiring lateral pure rotation Raman scattering echo signals with high and low quantum channels relative to the laser emission spectrum and performing data inversion of the atmospheric temperature, and the data acquisition and inversion subsystem is connected with the lateral telescope receiving and splitting subsystem. The invention further discloses a surface layer non-blind area temperature detection Raman laser radar method.

The invention discloses an array antenna source for advanced transient electromagnetic tunnel forecast. The array antenna source comprises multiple emission units, wherein the back of each emission unit is an external power source, the emission units respectively comprise an emission antenna, a spiral wire and a foundation, the spiral wire is wound at periphery of the emission antenna, an isolation layer is arranged between the spiral wire and the emission antenna to prevent current contact, the mutual inductance elimination effect is further realized, one side of a recess portion of a foundation center is an access port of the external power source, the other side of the access portion is provided with a needle array used for plugging the emission antennas, and periphery of the foundation has corresponding projections and recesses which are used for splicing the multiple emission units into one body. According to the array antenna source, emission field source intensity can be improved through changing source parameters and emission current intensity, exploration depth is improved, emission source pulse width is changed, high frequency harmonic wave components are improved, exploration precision is improved, high-resolution long distance exploration can be realized, and precise detection on a water guide channel in front of a tunnel face can be realized.

The invention discloses an automatic deviation rectifying method and device for machining a hollow shaft, and relates to the technical field of lathe machining. The device comprise a lathe body, wherein one side of the lathe body is fixedly connected with a fixing plate, the upper surface and the lower surface of the surface of the fixing plate are respectively fixedly connected with a pre-deviation rectifying device and a fine deviation rectifying device, and one end of a rotating rod is fixedly connected with a detector. The hollow shaft needing machining is measured for the first time through the pre-deviation rectifying device, so that whether the hollow shaft has a position deviation phenomenon or not is determined, the pre-deviation rectifying device prepares for the fine deviation rectifying device, if the position deviation phenomenon exits, the precise deviation rectifying device does not need to perform detection, the detection time of the precise deviation rectifying deviceis reduced, the whole-plane detection of the precise deviation rectifying device greatly improves the accuracy of deviation rectifying of the hollow shaft, the completeness of deviation rectifying ofthe hollow shaft can be guaranteed, and the situation that a hollow shaft has errors, finally, the hollow shaft is scrapped, and the material is wasted is avoided.

The invention discloses a real-time target detection method based on an online learning strategy. The method comprises the following steps: firstly, acquiring an input target window and a scanning window from a sensor image, dividing the scanning window into a positive sample or a negative sample according to an overlapping degree parameter of the two windows, calculating a posterior probability, and establishing a random forest detector; traversing all scanning windows in a new frame of image, establishing a training sample set, and calculating a random forest feature vector and a posterior probability of each sample; executing target tracking, automatically obtaining latest target window information, dividing a training sample set into a positive sample set and a negative sample set according to overlapping degree parameters of a scanning window and a new target window, and training a random forest detector by using the training sample set; and finally, obtaining a trained detector through continuous iterative training, inputting a frame of image into the detector, and outputting a target detection result. According to the invention, fine detection of a small target can be realized, the calculation amount is small, and real-time processing can be realized on an embedded platform.

The invention provides a capacitor electric leakage detection method and device, equipment and a medium, and relates to the technical field of storage. The method comprises the steps that first change correlation information of capacitance retention time of a to-be-detected storage capacitor and word line voltage of a to-be-detected word line is obtained, the word line voltage of the to-be-detected word line changes in a preset voltage range including word line closing voltage, and when the first change correlation information meets a first anomaly judgment condition, the to-be-detected storage capacitor is detected according to the first anomaly judgment condition; determining that the electric leakage behavior of the to-be-detected storage capacitor is related to the to-be-detected word line; or second change correlation information of capacitance retention time of the to-be-detected storage capacitor and word line voltage of an adjacent word line is obtained, the word line voltage of the adjacent word line changes in a preset voltage range, and under the condition that the second change correlation information meets a second anomaly judgment condition, the to-be-detected storage capacitor is detected. And determining that the electric leakage behavior of the to-be-detected storage capacitor is related to the adjacent word line. According to the embodiment of the invention, fine detection of the electric leakage behavior of the capacitor can be realized.