44results about How to "Small amount of collected data" patented technology

The invention discloses a method for quickly detecting the normal vector of a large-curvature-radius curved surface in the technical field of optical measurement. The method comprises the following steps of: intersecting two mutually-vertical surfaces with a workpiece curved surface to obtain two coordinate curves of curved surface points; and respectively detecting micro curve tangential vectorscentered on the curved surface points on the two coordinate curves to obtain the normal vector of a curved surface data point. In the invention, the conventional curved surface normal detection three-dimensional problem is transformed into a two-time two-dimensional curve detection problem, so that the method is convenient, low in cost and easy to operate and makes data processing simple, the requirement of real-time detection during curved surface machining is met, and the quality and the efficiency of the curved surface machining are improved.

The invention discloses a single-pixel imaging system based on polarization correlated imaging. The single-pixel imaging system based on polarization correlated imaging comprises a light source, a modulator, a polarizer, a lens, a polarization analyzer, a filtering sheet, a single-point light intensity detector and a synchronous control and data acquisition module. An emitting end enters the modular through the light source, so that a light field with the light intensity distribution fluctuating randomly is generated, polarization of emergent light is modulated through the polarizer, and the emergent light is emitted to a detection target; the light reflected back through a target object is converged by a receiving end through the lens and the light is converged at the single-point light intensity detector through the polarization analyzer and the filtering sheet; the synchronous control and data acquisition module synchronously controls the emitting end and the receiving end, conducts data acquisition and resolves an association algorithm. According to the single-pixel imaging system based on polarization correlated imaging, the target is detected, identified and imaged through polarization information and intensity correlation of the light, the target detection identification rate and the imaging contrast ratio of traditional correlated imaging are improved, and the system has the advantages of being resistant to complicated background interference and the like.

The invention discloses a deep vein visualization device and a deep vein visualization method based on NIR-II light single-pixel imaging. The imaging device includes: a dual-wavelength light source, an illumination lens, a spatial light modulator, a projection lens, a light-collecting lens, a detector, a synchronous control and data acquisition module, and a processor; the spatial light modulator is arranged on the double-wavelength light source through the illumination lens The optical path of the output light; the projection lens is used to project the image to the vein to be measured; the detector is set at the back focus of the light collecting lens; the synchronous control and data acquisition module is used for synchronous control of the spatial light modulator and the detector and The electrical signal detected by the detector is collected; the processor is used to obtain the electrical signal collected by the data collection module, and calculate and process the deep vein image according to the single-pixel imaging algorithm, and the processor is also used to control the dual-wavelength light source to switch the light source to complete the deep vein image. visible. The invention can display the deep vein picture at the position of the vein to be measured.

The present invention provides an observation matrix based compressed sensing imaging and image reconstruction method. The method comprises: (1) dividing a to-be-sensed image into a salient region and a non-salient region; (2) setting a pore size of the observation matrix, wherein in the observation matrix, a pixel size corresponding to the salient region is smaller than a pixel size of remaining regions; (3) generating a matrix that meets a restricted isometry property, and sequentially filling a pixel value of each pixel of the generated matrix into the observation matrix set in step (2), so as to obtain an observation matrix with a variable pore size; and (4) obtaining and recording an observation value of the to-be-sensed image based on the observation matrix with the variable pore size. According to method provided by the present invention, a data amount of compressed sensing imaging is greatly reduced under the condition that image quality is ensured; and a sampling frequency is significantly reduced under the condition that image quality is ensured, and sampling time is reduced. in addition, the method can be directly applied to a camera imaging system, so that a data collection amount can be directly reduced in an image collection stage.

The invention relates to a method for detecting the position of a rotor of a PMSM (permanent magnet synchronous motor) without a position sensor, and the method comprises the steps: employing a signalprocessing method for the digital processing of a change process of the back electromotive force of a three-phase winding; extracting some relatively reliable feature position of the back electromotive force in the rotating process of the motor, such as a zero point and extreme points; obtaining the position feature points, and carrying out the estimation of the rotor position information betweenthe feature points through an extended Kalman filtering method, and finally obtaining the accurate position of the rotor. The method is convenient in data collection, is small in calculation burden,is good in real-time performances, and is suitable for the implementation of various types of motor controllers.

The invention discloses a flow cytometry instrument based on a micro-fluidic technology and a linear array detector. The instrument includes, in a successively connected manner, a micro-fluidic chip, a linear array detector and a data processing apparatus, and includes a light source which is located right above the micro-fluidic chip. A linear main channel is formed inside the micro-fluidic chip, wherein one end of the main channel is provided with a sample inlet while the other end is provided with a sample outlet. The lower surface of the micro-fluidic chip is adhered to the upper surface of the linear array detector. An included angle theta is formed between the main channel and the linear array detector, 0 degree <= theta <= 90 degrees. The flow cytometry instrument mainly combines the cell movement in multiple micro-fluidic channels in the micro-fluidic chip and scanning imaging of a traditional linear array detector, so that compared with a flow cytometry instrument based on an area array detector and the micro-fluidic technology, the flow cytometry instrument can form a cell image in higher resolution ratio, and is more accurate and has higher speed in cell flowing counting.

The invention discloses a car door opening anti-collision device and method based on a magneto-rheological damper, which includes a forward ultrasonic distance measuring sensor and a backward ultrasonic distance measuring sensor arranged on rearview mirrors on both sides, arranged on each car door The sector scan sensor, electronic control unit ECU, voice alarm, and magneto-rheological damping hinge module. The device can detect dangerous situations in the surrounding environment when the car door is opened, and can be divided into five working modes: no danger, collision danger near the door, obstacle approach danger near the door, obstacle approach danger ahead, and obstacle approach danger behind. According to different working modes, the electronic control unit ECU controls the on-off of different numbers of magneto-rheological damping hinge currents, and gives voice alarm prompts to the people in the car, which not only provides convenience and safety for the people in the car to open the door, but also ensures non-stop Motor vehicle and pedestrian safety.

The invention discloses a data reporting method and system for a smart home system, comprising the following steps: step S1, the system performs incremental sensing on the user's sleeping posture representation data collected on the surface of the mattress, and based on the sensing results of the incremental sensing Adjusting the sampling frequency of the sleeping posture characterization data; step S2, the system performs incremental compression on the sleeping posture characterization data obtained according to the sampling frequency, and obtains the reporting frequency of the sleeping posture characterization data based on the compression result of the incremental compression; step S3. The system reports the sleeping posture characterization data based on the reporting frequency. In the present invention, the acquisition frequency is adaptively adjusted so that the acquisition frequency with high stability is maintained at a low sampling frequency, so as to reduce the amount of acquired data and the occupation of data acquisition and transmission bandwidth in the sleep stage with high stability, and then through the Incremental compression is performed on the sleeping posture characterization data to reduce the amount of reported data and improve the efficiency of data reporting.

This invention discloses a method for detecting weak low-frequency signals in unknown frequency conversion signals; the method of the invention firstly divides the input unknown frequency conversion signals into two paths, wherein, one path enters a data acquisition system, the other path is used for producing tracing trigger signals, then the tracing trigger signals are used for realizing the triggering and acquisition of the unknown frequency conversion signals which are analyzed and processed, thus realizing the detection of weak low-frequency signals in unknown frequency conversion signals. The method of the invention has little dependence on the prior knowledge of the background signal characteristics, small analytical data length, low sampling rate and high real-time data processingand is very applicable to the extraction and detection of weak signals.

The invention discloses a new entity modeling method for a three-core arch roadway based on cross-section measured data. By collecting spatial data of feature points on a cross-section, the spatial position and actual size of the roadway section are calculated from the three-dimensional coordinates of the feature points. The size is fitted with the standard parameters of the three-core arch, and a series of roadway sections with actual excavation size and accurate expression of the arch shape are generated at specific spatial positions. Then use 3D modeling software to create entities between two sections, so as to realize the establishment of the overall roadway model, and effectively solve the problem of continuous updating of the roadway solid model. The generated roadway solid model can truly reflect the shape of the roadway, which can fully meet the requirements Mining design, mining equipment layout planning and other requirements.

The present invention relates to a comprehensive evaluation system for acceptance of advertisement delivery, comprising: inserting the first plug-in into the monitor of the advertisement content access page when the advertisement is placed, and linking to the link of the advertisement content, inserting the second plug-in Go to the monitor of the advertising content access page, and link to the URL of any file resource contained in the advertising content; then publish, after publishing, only need to extract the corresponding first plug-in to monitor the link of the advertising content to form the first monitoring log ; and the second plug-in monitors the advertising content transmission data status corresponding to the advertising content link to form a second monitoring log, so there is no need to extract a large number of logs, which greatly reduces the amount of collected data and improves the accuracy of later data. Processing efficiency.

The invention discloses a computer image collector. The collector comprises a computer and an image collector. According to the computer image collector in the invention, an auxiliary collecting device is arranged to adjust the height of a telescopic support frame when the image of a template is selectively collected, splicing out the size, the shape and the position of holes in a perforated spliced baffle plate by magnet blocks of different sizes and shapes; at the same time, the position of an image collecting module is adjusted through a telescopic support rod and a rotating motor to realize selective collection of a template image through the holes in the perforated spliced baffle plate; the amount of collected data is reduced, so that the data collection and transmission efficiency ishigh; inner edge identification is carried out on the collected data; after frame numbering, integration, packaging, compression and encoding are carried out on the data according to the hole parameter classification, the data are transmitted to the computer; Since the collected data are the data of the selected area and the processing is performed on the collected data, the collection is convenient; it is not easy to make mistakes, and the transmission efficiency is high, which ensures the quality of image acquisition.

The invention discloses a method for monitoring road conditions in real time based on a simplified road network model and belongs to the field of road junction monitoring. The method comprises the following steps of: firstly, establishing the simplified road network model, abstracting ordinary intersections, traffic light intersections, overpasses and loops as nodes, abstracting a one-way road section between two nodes as a directed arc, abstracting a two-way road section between the two nodes as two directed arcs, and weighting at least one time cost weight value on each directed arc; secondly, periodically acquiring time at which a vehicle enters a starting node y and an ending node z and acquiring the information of the current position of the vehicle and the information of entering direction; and finally, determining the type of roads, and thus respectively obtaining the road condition states of ordinary roads, the loops and overpass roads by using different steps. By adoption of the method, the road condition states of the ordinary roads, the loops and the overpass roads can be simply and accurately obtained, and the road condition states are drawn on a map, so that the road conditions can be monitored in real time.