35091results about How to "Adaptable" patented technology

The embodiment of the invention discloses a tubular column string. The tubular column string at least comprises a coiled tubing connector, a mechanical releasing tool, a centering device, a collar locator, a sand blasting perforation sliding sleeve, a hydraulic setting tool and a bridge plug. The sand blasting perforation sliding sleeve, the hydraulic setting tool and the bridge plug are sequentially connected in series in the direction from one end to the other end of the coiled tubing connector of the tubular column string, and the coiled tubing connector is used for being connected with coiled tubing. The whole operation of bridge plug tripping and setting can be completed through coiled tubing equipment, so that less equipment is used in construction, working procedures are few, and manual work is less; pyrotechnics equipment can be avoided, safety performance is high, the coiled tubing equipment is high in adaptability to well conditions, and large-discharge-capacity staged fracturing of a casing horizontal well can be achieved due to the full bore after the bridge plug is removed through drilling. The invention further discloses a bridge plug setting and sand blasting perforation combining method.

The invention discloses a method based on monocular vision for detecting and roughly positioning the edge of a road, and relates to the field of machine vision and intelligent control. Aiming at a continuous road with different edge characteristics, two road edge detection methods are supplied and suitable for semistructured and nonstructured roads and can be applied to vision navigation and intelligent control over a robot. The invention provides a method for detecting the edge of the road based on colors and a method for detecting the edge of the road based on threshold value partitioning. On the basis of the obtained edge of the road, an image is subjected to inverted perspective projection transformation, so that a front view is transformed into a top view; and according to a linear corresponding relation between a pixel and an actual distance in the image, a perpendicular distance from the current position of the robot to the edge of the road and a course angle of the robot can be calculated. The method is easy to implement, high in anti-interference performance, high in instantaneity and suitable for the semistructured and nonstructured roads.

The invention relates to a turnable multi-directional conveyer which comprises a support seat, a belt conveyor and a lifting device, wherein the belt conveyor comprises a supporting section and a lifting section; one end of the supporting section is connected with one end of the lifting section; the supporting section is fixedly arranged on the support seat; the lifting device is used for controlling the ascending and descending of the lifting section; one end of the lifting device is fixedly connected onto the support seat, and the other end of the lifting device is fixedly connected onto the lifting section. According to the invention, the conveying is carried out through the belt conveyor, great convenience and quickness are achieved, the passing property is strong, and the characteristic of continuous sand adding is achieved, and the working efficiency is improved; the ascending and descending of the belt conveyor are realized through the lifting device, so that the turnable multi-directional conveyer can adapt to sand storage containers with different heights, and the ascending and descending amplitude is large. The turnable multi-directional conveyer further has the characteristics of simplicity in operation, low manual labor cost and high safety.

The invention provides an intelligent controller used for a direct current (DC) frequency-conversion air conditioner compressor and a technical proposal of the control method thereof; the hardware proposal comprises a rectifier filter circuit and a power module which are electrically connected sequentially; the rectifier filter circuit (220) is also electrically connected with a single DSP controller used as a core processing unit by a switch power supply (240); the single DSP controller is also respectively and electrically connected with the power module, a communication isolation circuit which is used for communicating with the indoor machine of the air conditioner, a fan driving circuit (280), and a temperature sampling circuit (270); the control method comprises the steps as follows:the control software is embedded in the DSP controller; by a control type of dual close-ring FOC no-sensor magnetic field vector, the current ring at the internal ring realizes the decoupling controlto the driving current of the permanent magnetic synchronous motor of a compressor and indirectly controls the output torque of the motor; the speed ring at the external ring is used for controlling the working frequency of the compressor, thus not only meeting the stable requirement during fixed frequency but also meeting the dynamic response during the frequency conversion; and the control software comprises a primitive recursive function and a main interrupt function.

The invention relates to a photovoltaic cell -DC/DC boost conversion charge method which belongs to battery technique field. The method includes: 1) a portable equipment accumulator voltage is detected by a voltage sensor, when lows to full charge capacity, the voltage sensor makes DC/DC boost converter starting DC/DC conversion, and electricity quantity flows from photovoltaic current to lithium battery for charging; 2) when the portable equipment accumulator is in full charge capacity state, accumulator need not charge again, the voltage sensor makes DC/DC boost converter forbidding DC/DC conversion, thereby, the portable equipment accumulator is protected and over charge phenomena is prevented. The method can be realized simply, and has short reaction time, high efficiency, overvoltage protection and anti-counterblast protection.

The invention provides a method for detecting lane lines based on grayscale estimation and cascade Hough transform, belonging to the technical field of image processing, and relating to image segmentation, image line geometrical characteristics detection and intelligent vehicle navigation simultaneously, which is mainly applicable to an auxiliary safety drive system. The method comprises the following steps: carrying out grayscale estimation on sensitive areas of an original image I of the collected vehicle road conditions ahead; dividing the sensitive areas into a vehicle shadow region, a roadway non-mark region and a roadway mark region (including the area of the car body of the vehicles ahead); adopting a mathematical morphology method to obtain a boundary image from the roadway mark region in the areas divided by the grayscale estimation; then carrying out Hough transform on the obtained boundary image of the roadway mark region to extract line image characteristics therein; and finally realizing the detection of the lane lines by searching end points of roadway mark boundary. Compared with the congeneric method, the method in the invention has stronger stability and wider application occasions and the like.

A post processing de-blocking filter includes a threshold determination unit for adaptively determining a plurality of threshold values according to at least differences in quantization parameters QPs of a plurality of adjacent blocks in a received video stream and to a user defined offset (UDO) allowing the threshold levels to be adjusted according to the UDO value; an interpolation unit for performing an interpolation operation to estimate pixel values in an interlaced field if the video stream comprises interlaced video; and a de-blocking filtering unit for determining a filtering range specifying a maximum number of pixels to filter around a block boundary between the adjacent blocks, determining a region mode according to local activity around the block boundary, selecting one of a plurality of at least three filters, and filtering a plurality of pixels around the block boundary according to the filtering range, the region mode, and the selected filter.

A post processing de-blocking filter includes a threshold determination unit for adaptively determining a plurality of threshold values according to at least differences in quantization parameters QPs of a plurality of adjacent blocks in a received video stream and to a user defined offset (UDO) allowing the threshold levels to be adjusted according to the UDO value; an interpolation unit for performing an interpolation operation to estimate pixel values in an interlaced field if the video stream comprises interlaced video; and a de-blocking filtering unit for determining a filtering range specifying a maximum number of pixels to filter around a block boundary between the adjacent blocks, determining a region mode according to local activity around the block boundary, selecting one of a plurality of at least three filters, and filtering a plurality of pixels around the block boundary according to the filtering range, the region mode, and the selected filter.

The invention relates to a self-adaptive background modeling and moving target detecting method which comprises the following steps: establishing an initial background, extracting a moving target binary mask, updating a self-adaptive background and detecting a moving target: firstly, determining the pixel gray value of the initial background by using an inter-frame difference method; successively, carrying out binarization treatment on a difference image by using a self-adaptive threshold valve when a difference image is obtained by a current frame image minus a background image and post-treating of morphological filtering and the like to obtain the moving target binary mask; then, carrying out dynamic update on the gray value of a pixel which is not corresponding to the moving target binary mask in the background image by adopting an region-based background updating method; and finally, carrying out logic 'and' operation by using the moving target binary mask and the current frame input image to detect the moving target. The invention can effectively establish the reliable initial background and carry out real-time dynamic update on the background to solve the problem that the detection accuracy of the moving target is influenced by background disturbance and illumination change.

The invention relates to a multitask concurrent executive system and a method for hybrid network service. The system comprises a client side, a load-balancing server, a signalling/ media control server and an application server cluster. The running method thereof is as follows: after the client side receives a service request, the load-balancing server selects an optimum application server and transmits the service request to a service bus thereof. After an admission control module of the application server carries out admission control on the request, the service bus transmits the request to a dynamic flow execution engine, the dynamic flow execution engine starts a service flow corresponding to the request to analyze and process, and the service bus calls a corresponding service capability component in a low deferred event service engine and interacts with the signalling/ media control server through the resource adapter so as to call the service resource of the latter; and a processing result is returned to the client side according to a reverse process. The multitask concurrent executive system supports the supply of hybrid network service over a telecommunication network and the internet and the multitask concurrent on a heterogeneous network and terminals.

The invention provides a method for detecting an X-ray mammary gland lesion image based on feature pyramid network under transfer learning. The method comprises the steps: 1, establishing a source domain data set and a target domain data set; 2, establishing a deformable convolution residual network layer by a deformable convolution and extended residual network module; 3, establishing a multi-scale feature extraction sub-network based on a feature pyramid structure through a feature map up-sampling and feature fusion method in combination with a deformable convolution residual network layer;4, establishing a deformable pooling sub-network sensitive to the focus position; 5, establishing a post-processing network layer to optimize a prediction result and a loss function; and 6, migratingthe training model to a small sample molybdenum target X-ray mammary gland focus detection task so as to improve the detection precision of the network model on the focus in the small sample image. According to the method, a transfer learning strategy is combined to realize focus image processing in a small sample medical image.

The invention provides an automatic vehicle detection method based on deep learning. The automatic vehicle detection method based on deep learning can utilize a convolution neural network to automatically extract the vehicle characteristics in the traffic environment so as to eventually realize automatic detection and identification of a vehicle target. The automatic vehicle detection method based on deep learning can be applied to different environments, different illumination intensities and different weather situations, and can guarantee higher accuracy for detection for a vehicle in a complicated traffic environment, and provides a new real-time reliable preprocessing step for identifying and tracking the vehicle target for the subsequent video monitoring.

The invention discloses a method for recognizing a road traffic sign for an unmanned vehicle, comprising the following steps of: (1) changing the RGB (Red, Green and Blue) pixel value of an image to strengthen a traffic sign feature color region, and cutting the image by using a threshold; (2) carrying out edge detection and connection on a gray level image to reconstruct an interested region; (3) extracting a labeled graph of the interested region as a shape feature of the interested region, classifying the shape of the region by using a nearest neighbor classification method, and removing a non-traffic sign region; and (4) graying and normalizing the image of the interested region of the traffic sign, carrying out dual-tree complex wavelet transform on the image to form a feature vector of the image, reducing the dimension of the feature vector by using a two-dimension independent component analysis method, and sending the feature vector into a support vector machine of a radial basis function to judge the type of the traffic sign of the interested region. By using the method, various types of traffic signs in a running environment of the unmanned vehicle can be stably and efficiently detected and recognized.

The invention discloses a preparation method of a silicon and carbon-coated graphene composite cathode material. The technical problem to be solved is to enhance the electronic conductivity of the silicon-based cathode material, buffer the volume effect produced in the process of deintercalation of the lithium in the silicon-based cathode material and enhance the structure stability in the circulation process of the material at the same time. The material is prepared by using a spray drying-thermally decomposing treatment process in the invention. The preparation method comprises the following steps of: evenly dispersing nano silicon and graphite micro powder in a dispersion solution of oxidized graphene, carrying out thermal treatment under an inert protection atmosphere after spray drying, subsequently cooling along a furnace to obtain the silicon and carbon-coated graphene composite cathode material. The extra binder does not need to add in the process of manufacturing balls in the invention and the outer oxidized graphene is thermally reduced in situ to graphene in the thermal treatment process of the composite precursor, so that the process is simple and easy to operate; and the practical degree is high. The prepared composite material has the advantages of great reversible capacity, designable capacity, good cycling performance and high-current discharging performance, high tap density and the like.

A mobile hub is proposed, the mobile hub includes a circular buffer for storing events, a timer for monitoring the storage period of an event stored in the buffer, and an event manager designed for discarding an event from the buffer when a time-out of the associated timer is exceeded. As no event can block the buffer any more a small-scale buffer can be used for the mobile hub.

A method for structuring specialist system based on knowledge discovery includes forming new knowledge base unit by knowledge obtained from inference mechanism and knowledge learned from failure and mistakes, adding new knowledge obtaining-channel on said system, setting knowledge discovery process module in databank and setting knowledge discovery-creating mechanism and model in knowledge base.

The invention discloses an all-round intelligent guiding system and method for a large parking lot, and belongs to the field of intelligent traffic. The system disclosed by the invention comprises a guidance-initializing inlet unit, a guidance-stopping outlet unit, a guidance-path planning server, an anti-jamming coordinated controller, a guidance-indicting subsystem and a parking-space information-monitoring subsystem. Parking, vehicle taking-out and exit-guiding services are intelligently provided for a driver in the whole process from entering the parking lot to leaving the parking lot through the system by adopting a fork-passing triggering-type guidance-path updating and optimizing mechanism on the basis of a radio-frequency technology, a fork-passing triggering-type positioning mechanism and an anti-jamming path-planning mechanism, so that the parking lot is safer, more energy-saving and more highly-efficient in operation.

A process for packaging and sealing a microscopic structure device is provided. The process for the present invention includes the steps of depositing a capping layer of sacrificial material patterned by lithography over the microscopic structure supported on a substrate, depositing a support layer of a dielectric material patterned by lithography over the capping layer, providing a plurality of vias through the support layer by lithography, removing the capping layer via wet etching to leave the support layer intact in the form of a shell having a cavity occupied by the microscopic structure, depositing a layer of meltable material over the capping layer that is thick enough to provide a barrier against gas permeation, but thin enough to leave the vias open, and selectively applying a laser beam to the meltable material proximate each via for a sufficient period of time to melt the material for sealing the via.

The invention relates to a device for realizing laser welding and seam tracking and a control method thereof. The device of the invention comprises an image collecting and processing unit for collecting and processing the image data of laser welding and seam characteristics and outputting the seam position information, a motion control unit for receiving the seam position information and transmitting a motion control command to a motion shaft actuating mechanism, and an upper parameter setting and control unit for setting the parameters and being respectively connected with the image collecting and processing unit and the motion control unit in a communication mode. The method of the invention comprises the following steps: setting the parameters by utilizing the upper parameter setting and control unit; collecting and processing seam images to obtain the seam image data; caching and calibrating the seam image data, and determining the offset of a welding gun; carrying out filtering, fitting and track planning on tracking tracks by utilizing a motion controller in the motion control unit; and transmitting the result to a motion shaft driver. The invention can be suitable for various seam types and techniques and has the advantages of good generality, strong flexibility, high independence, high precision, accurate positioning, strong adaptability, and the like.

The invention relates to a PMSM servo system control method based on fuzzy and active disturbance rejection control. A position signal is given by a differential tracker to arrange a transition process so that the contradiction between rapidness and overshoot of a system is solved, and uncertainty, friction torques and external disturbance due to modeling errors of the system are observed via an expansion state observer; according to the error between the differentials generated by the differential tracker and state variation generated by the expansion state observer, a fuzzy inference rule is obtained with application of experimental experience of technical staff, so that a fuzzy rule control table of an error proportion coefficient, a differential coefficient and an integration coefficient is established; accurate control amount is obtained after de-fuzzification, so that parameter self-adaptive adjustment of a nonlinear error feedback control law is realized; and compensation amounts of the nonlinear error feedback control law and the expansion state observer to the total disturbance forms the control amount, thereby realizing optimal control for an controlled object. The method of the invention improves both tracking precision and disturbance rejection capability of the system.