39results about How to "Get it directly" patented technology

The invention belongs to the field of oil and gas exploration and development, in particular to a method for determining carbonate reservoir porosity cutoff. By the aid of total water saturation SWT and mudstone bound water saturation SWB, accuracy of calculation results is dependent on selection of Ddry and Dwet key parameters, mineral components are analyzed according to TH and K ratios to serve as a selection basis of a dry clay density value, and a pure shale layer with regular boreholes and stable lithology, thickness and log response serves as a wet mudstone density value. The reservoir porosity cutoff is determined according to the relationship between cumulative oil and gas volume and porosity. The method is more accurate as compared with a method for calculating water saturation by a volume model to obtain reservoir oil and gas saturation. The components of clay minerals are analyzed according to the TH and K ratios obtained by natural gamma ray spectrum logging, a proper theoretical density value is selected as the dry clay density value, namely dry mudstone density, data can be more directly acquired, and final results are real and reliable.

The invention discloses a building fire situation assessment and personnel evacuating indication method and system. The building fire situation assessment and personnel evacuating indication method includes steps: monitoring fire information timely and calculating fire source position information, fire source intensity information and fire development situation information according to the fire information; estimating personnel position information in all areas in a building and personnel density distribution in all the areas; and calculating a best evacuating direction and a best evacuating path according to the fire source position information, the fire source intensity information, the fire development situation information, the personnel position information and the personnel density distribution information in all the areas in the building and the building structure information. By adopting the building fire situation assessment and personnel evacuating indication method and system, a practicable solution is provided for personnel evacuating based on disaster development situation in the building by sufficiently using the modern techniques such as sensing, communication, calculating and decision making, and decision making and evacuating efficiencies are improved.

The invention provides an insect flying form observing and dynamic characteristic testing device which comprises a base, an observing box, a stimulating module, a micro pulling force detecting module, an image collecting module and a controller. The observing box is arranged on the base and is used for placing of insects. The stimulating module is arranged on the side wall of the observing box and is used for stimulating the insects, and the insects are urged to fly or change the flying states of the insects. The micro pulling force detecting module is placed on the lower portion of the observing box and is used for computing the kinetic parameters during insect flying according to the displacement caused on the insects during insect flying. The image collecting module is used for collecting images of the flying states of the insects. The controller is arranged on the side face of the base and is connected with the stimulating module and the image collecting module respectively, and the controller is used for controlling the stimulating module and the image collecting module. According to the testing device, effective flying observing can be carried out on the insects, direct and accurate measuring can be carried out on the kinetic parameters during practical insect flying, accurate samples can be provided for insect flapping wing flying mechanism research, and meanwhile the device is simple in structure and low in cost.

The invention relates to a vehicle color recognition method based on target recognition area interception, and belongs to the technical field of vehicle color recognition, and the method comprises thesteps: obtaining a picture containing a to-be-detected vehicle; performing target detection on the to-be-detected picture to obtain an image of the to-be-detected vehicle; extracting vehicle window area information of the to-be-tested vehicle to obtain coordinate values of four corners of a front vehicle window; removing a part of detection pictures with too low resolution; intercepting a vehicleengine hood area as a target identification area of the picture by utilizing the colinearity and parallelism of the boundaries of the vehicle window and the vehicle engine hood; carrying out saturation enhancement processing on the extracted vehicle engine hood area image; and performing color recognition on the saturation-enhanced vehicle engine hood image by using the RGB color recognition model and the HSV color recognition model, and outputting a final recognition result. According to the method, the problem that in traditional vehicle color recognition, interference areas such as backgrounds and vehicle windows influence vehicle body color recognition is solved, and the accuracy and robustness of vehicle color recognition are improved.

The present invention provides a spectral imaging device based on adaptive optics. The device comprises a collimator (1), a tilting mirror (2), a wavefront corrector DM (3), a dichroic spectroscope (4), a wavefront detector (5), a wavefront controller (6), an imaging system (7), a telescope instant image surface (8), a relay optical system (9), a telescope secondary image surface (10), an image splitter (11), a slit (12), a collimating lens (13), a grating (14), an imaging lens (15), a detector (16) and a data processing and control computer (17). The spectral imaging device based on the adaptive optics employs the dispersion light splitting mode after the image surface cutting conversion so as to obtain the object spectrum and image information while the single exposure; and moreover, through combination of the adaptive optics technology, the wavefront detector is introduced to detect the aberration in real time, and the tilting mirror and the wavefront corrector are configured to perform real-time correction so as to solve the problems of the atmospheric disturbance and the non-scanning rapid obtaining of the three-dimensional information and especially fit for the measurement of a rapidly changing target.

A steering axle steering angle sensor device comprises a main steering pin, a steering knuckle, a steering axle, a seal housing and a steering angle sensor. The steering sensor has a fixed end and a rotary end; the fixed end is fixed to the main steering pin, and the rotary end is fixed to the steering knuckle and rotates along with the same to measure the steering angle of the steering knuckle. The steering angle sensor outputs the measured steering angle value of the steering knuckle to an external receiver device. The steering axle steering angle sensor device has the advantages that detection and information output of the steering angle of the steering wheel are added on the basis of the prior art of steering axles so that multi-axle steering angular displacement synchronous control information is acquired.

The invention discloses an electronic device control method and device, a storage medium and an electronic device. The method comprises steps that the voice information of a user is obtained, voiceprint characteristics of the voice information and the instruction information are extracted, and the instruction information is used for indicating to acquire and process the message content in the electronic device; whether the user corresponding to the voiceprint characteristics is a preset user is determined; if yes, the message content is acquired and processed according to the content of the instruction information. The method is advantaged in that through combination of voice control, voiceprint identification and the message content processing technology, the message content that the userneeds to process can be more easily and directly acquired and processed under the premise of ensuring safety of the device information, and operation efficiency of the electronic device is improved.

The invention discloses a passenger car dead zone auxiliary monitoring system and method. The passenger car dead zone auxiliary monitoring system comprises a six-channel camera, a monitoring and processing unit, a vehicle-mounted computer ECU, a 360-degree panoramic looking around system, a display screen and a central warning processor, the six-channel camera is used for collecting image information, and the six-channel camera is connected with the monitoring and processing unit. According to the dead zone auxiliary monitoring system, omni-directional dead-zone-free monitoring video can be carried out on the outside of a vehicle, a combined picture of the display screen of the vehicle shifts functions automatically, a driver can be enabled to obtain dead zone image information more directly, the front secondary dead zone safety risk brought by wide-angle turning of the driver is avoided, and meanwhile, the fatigue strength caused by the driver frequently turning to watch a plurality of rearview mirrors and thinking behaviors is reduced. According to the passenger car dead zone auxiliary monitoring system and method, monitoring video is carried out on the outside of the vehicle inan omni-directional dead-zone-free mode through the combined monitoring of the 360-degree panoramic looking around system and the six-channel camera, and complex movements such as turning and turningaround from right front/left front areas of rear wheels to the front 5-10 meters of a vehicle head can be solved.

The invention discloses a self-adaptive grid division method and system based on an octree. The division method comprises: acquiring a file model to be calculated; eliminating file defects of the to-be-calculated file model by adopting a polygonal robust repair method to obtain a totally-enclosed file model; performing octree modeling on the totally-enclosed file model to obtain an original octreenetwork model; carrying out smoothing processing on the original octree network model to obtain a uniform octree grid model; and traversing leaf nodes in the uniform octree network model to obtain afinal non-uniform grid model. According to the method and the system, the complexity of a grid division method is reduced, and the division precision is improved.

The invention provides a heart data processing apparatus and method, and a computer readable storage medium. The heart data processing apparatus comprises a coronary artery model segmentation module for segmenting a central line of a coronary artery, a segmented blood supply data module used for acquiring segmented blood supply data corresponding to each segment of coronary artery center line, a myocardial grid model providing module used for providing a myocardial grid model, and a myocardial ischemia degree calculation module used for acquiring ischemia degrees of different positions of myocardium corresponding to each grid node; the heart data processing apparatus is convenient for directly and visually acquiring information about ischemia degrees of different positions of myocardium. The ischemia degrees of different positions of the myocardium can be indicated in a myocardial grid model or a corresponding bull eye diagram through features such as colors, so that the film reading time of doctors is saved, and the diagnosis efficiency is improved. By means of the heart data processing method, the ischemia degrees of different positions of the myocardium can be visually obtained.

The invention discloses a radar image rainfall identification method which comprises the following steps: firstly, carrying out same-frequency interference suppression on radar original images under different rainfall intensities, selecting a Cartesian frame image of a sea wave monitoring area in the images as a data set sample, and carrying out iterative training on an improved LeNet-5 model by utilizing the data set sample; then, performing same-frequency interference processing on a radar image to be detected, extracting a Cartesian frame image of a sea wave monitoring area of the image, and inputting the Cartesian frame image into the trained model to obtain an output result probability; and finally, comparing the model output result probability with a detection threshold to determinewhether the image is a rainfall image. According to the invention, the rainfall image and the non-rainfall image can be identified more simply and conveniently, and the accuracy is higher.

The embodiment of the invention discloses an information processing method and system. The information processing method comprises the following steps: acquiring operation information and image data, wherein the operation information is acquired by detecting triggering operation on a display interface of a first application when the first application in a mobile terminal is in an activated state, the image data are acquired by an image acquisition unit of the mobile terminal, and the image acquisition unit and a display unit are on the same plane; analyzing the image data, identifying facial feature data in the image data, and acquiring facial expression information on the basis of the facial feature data; and generating first feedback information on the basis of the facial expression information and the operation information.

The invention discloses a self-information based discovery method for a co-occurrent topic in the interdisciplinary field. The method comprises the following specific steps of: (1), data collection: collecting a self-evaluation document set of a highly cited document author on success of scientific research; (2), data processing: extracting and digitizing a text part in self evaluation; (3), extracting candidate low-frequency topic words; (4), calculating a low-frequency topic evaluation coefficient; (5), setting a threshold value of the low-frequency topic word evaluation coefficient; and (6), filtering the low-frequency topic words. The method provides a new idea for related research of topic discovery. Not only are high-frequency words closely related with the topic but also the low-frequency words are available resources. The method can be applied to discovery of topics in evaluation type document sets, for example, common experience of characters is extracted from autobiographical themes and common indexes for stock evaluation are extracted from stock comments, thereby realizing extraction of co-occurrent topics in document sets in different disciplinary fields.

The invention discloses a motorcycle man-machine simulation system which is characterized by comprising a supporting unit, a handle control unit, a pedal control unit, a seat cushion control unit and a driver control unit. The handle control unit, the pedal control unit, the seat cushion control unit and the driver control unit are sequentially arranged on the top face of the supporting unit from front to back, and the symmetry axes of the handle control unit, the pedal control unit and the seat cushion control unit are located in the same vertical plane. The system has the advantages that installation simulation of a handlebar tube, a pedal assembly and a seat cushion on a motorcycle is achieved, corresponding parameters can be obtained through multi-dimensional adjustment, man-machine relation verification of motorcycle design is facilitated, private customized parameters meeting special requirements can be directly obtained, a large amount of manpower and material resources are saved for development and design of the motorcycle, and the development speed of a new product is accelerated.

The invention provides an unmanned driving control system and method based on a flexible track route type lattice structure. The unmanned driving control system comprises a road surface monitoring device, a roadside monitoring device and a control center. The road surface monitoring device is arranged on a road divided into a plurality of floating type dynamic operation sections, and is used for monitoring the road condition state in real time and in all directions and transmitting the road condition state to the roadside monitoring device; the control center receives the information uploaded by all the roadside monitoring devices in the area, then carries out logic analysis and judgment, transmits the result to the unmanned vehicle-mounted equipment in real time, monitors the road condition and the vehicle condition on the road in a multi-azimuth and dead-corner-free mode, and controls the operation of the vehicle.

The invention belongs to the remote sensing image data technology field, especially relates to an aerial remote sensing image data radiant correction method. The invention discloses the aerial remote sensing image data radiant correction method, to be specific, discloses a mountainous area high resolution remote sensing image radiant correction method based on moment matching. The aerial remote sensing image data radiant correction method comprises steps that a Sandmeier model is used to analyze and calculate acquired solar global radiation of every ground pixel from three aspects, namely, solar direct radiation, sky radiation, and radiation additionally provided by adjacent terrain reflection, which are received from the ground, and a secondary correction method is adopted for assistance based on a main correction method, and therefore the most accurate result is acquired. The aerial remote sensing image data radiant correction method is advantageous in that a difference between a target measuring value and target spectral reflectivity or spectral radiance or other physical quantities caused by the own conditions of the sensor, atmospheric conditions, and solar position and angle conditions and other inevitable noises is eliminated.

The invention discloses a system and a method for intelligently focusing a video. The system comprises a first video frame data acquisition unit, a video detection unit, a focusing multiplying power generation unit, a second video frame generation unit and a second video frame rendering unit. The method comprises the following steps: acquiring first video frame data; performing video detection; generating a focusing multiplying power; and generating and rendering a second video frame. The method has the characteristics of more direct content information acquisition, clear focusing, good detailfidelity effect and better user interaction experience.

The invention discloses an ionosphere vertical electron density measurement method. In the first time period T, meteoric trail communication equipment outputs n Tp (t). Querying the value of the VP (t) according to the value of each Tp (t) in the Tp (t) and VP (t) corresponding table; the duration time Tp (t) of the meteoric trail signal intensity P and the vertical electron density of the ionized layer outside the meteoric trail area are measured, namely, the vertical electron density V (t) of the meteoric trail background ionized layer is measured; obtaining the mean value V of the vertical electron density V (t) of the background ionized layer of the meteoric trail area in the time period T; obtaining dv (t) and f (TP (t)); f (TP (t)) is the vertical electron density V of the background ionized layer of the region in the time period as the mean value of V (t) in the time period T. According to the ionosphere monitoring based on the GNSS signal, the inversion algorithm is adopted to calculate the electron density of each layer of the ionosphere, the obtained meteoric trail background ionosphere vertical electron density V is more accurate, and the disclosure of the activity rule of the ionosphere in the region is more real and powerful. The method can be widely applied to the fields of satellite navigation precision improvement, satellite communication performance improvement and short-wave communication rapid frequency selection.