1294results about How to "Achieve precision" patented technology

The invention discloses a trajectory tracking sliding mode control method for a spraying mobile robot. The method comprises the following steps of: performing mechanism analysis on a mobile robot, and establishing a mobile robot kinematic model with non-integrity constraint; establishing a controlled object mathematical model of each branch controller of a wheeled mobile robot provided with a motor driving shaft disturbance term; identifying a traveling path by utilizing a computer vision system, and determining an expected motion track of each branch driving motor according to the kinematic model deduced in the previous step; detecting the rotating speed of the motor, calculating the actual motion angular velocity and actual motion angular acceleration of left and right driving motors of the mobile robot, and calculating the deviation and deviation derivative between the expected angular velocity and the actual angular velocity of each driving motor; establishing a sliding mode switching function which meets the speed control requirement of the driving motor; determining the sliding mode controller control quantity of the left and right driving motors of the mobile robot on the basis of the sliding mode surface function s; and respectively transmitting the control quantity of the motor of the mobile robot to the left and right driving motors.

The invention discloses a vehicle-mounted multi-rotor unmanned helicopter landing guidance control system and a guidance control method. The control system comprises a vehicle-mounted guidance subsystem and an airborne control subsystem, wherein the vehicle-mounted guidance subsystem mainly comprises two visual processing systems and a navigational computer. On the basis of the guidance control system and with the adoption of a binocular vision guidance method, a multi-rotor unmanned helicopter is accurately positioned according to data resolving of the two visual processing systems, a flying control computer controls the multi-rotor unmanned helicopter to land in the target position of a vehicle, the practicability of the multi-rotor unmanned helicopter is improved, and the application range of the multi-rotor unmanned helicopter is increased.

The invention discloses a system for monitoring complicated oil deposit flooding conditions, comprising an input unit, a multi-level processing unit and a display unit, wherein the input unit is used for inputting well point geologic parameters; the multi-level processing unit is used for building hidden geologic characteristic parameters according to the well point geologic parameters input by the input unit, finishing multi-layer, multi-well, multi-phase and multi-driving power energy balance analysis and calculation of a block, further building an injecting and extracting correspondence relationship among wells and carrying out comprehensive inversion treatment on the layered and partitioned flooding conditions by using improper functions to obtain distribution data of various sucking sections and layered flooding conditions of the block and a single well in different periods; and the display unit is used for displaying the injecting and extracting correspondence relationship amongwells, built by the multi-level processing unit, and the obtained diagram result data of the distribution of the various sucking sections and the layered flooding conditions of the block and the single well in different periods. The system can obtain accurate layered flooding condition data and different levels of section analyzed result data, improve the extracting precision, and save the manpower and material resources.

The invention relates to a cross-time multi-dimensional abnormal data monitoring method and system. The method includes: collecting Web logs and OLA log queries to obtain website information, delivery advertisement information and user information; cleaning obtained heterogeneous data by employing Python in a Spark environment, generating an electronic table corresponding to each dimension, and preparing modeling analysis; establishing a normal advertisement click behavior model by employing a GBDT algorithm; conducting a modeling analysis on an abnormal data sample by employing a support vector machine, and establishing an abnormal advertisement click behavior model; and generating a cheating click monitoring model, and deploying an online anti-cheating model. According to the method and system, the problems of fusion analysis of various heterogeneous data and small sample classification accuracy are solved by employing machine learning and cloud computing technologies through monitoring of cheating Internet advertisement traffic, subsequent Internet advertisement click data can be recorded and analyzed in a whole machine learning chain, the anti-cheating model is improved, and the accuracy of advertisement delivery can be better achieved.

The present invention relates to a laser differential confocal tomography focusing method and device, and relates to the technical field of optical imaging and detection. The method uses a rear pupilto block half of a measurement beam, uses a spectroscopic differential confocal detection system to detect the unblocked measurement beam, and uses an absolute zero point of a differential confocal response curve to achieve high precision tomographic focusing. The method organically combines a laser differential confocal technique and a ray tracing technique to establish a ray tracing and compensation model to eliminate influence among each fixed focal surface parameters, and achieves fast trigger of focus through data near a linearly fitting absolute zero point. The method can obtain the differential confocal response curve by using only one detector, and realizes the tomographic focusing through the absolute zero point of the differential confocal response curve, greatly simplifies system structure, in the same time, avoids error introduced by adjustment inaccuracy, and greatly improves precision of focusing. The method will provide a new technical approach to the field of confocal imaging / detection.

The invention relates to a testing method and a testing device of a train pneumatic performance simulation moving module. The testing method comprises the following steps: a train model on rails is used, one end of the trail model is provided with an elastic traction mechanism which passes through a travelling block speed increasing mechanism and a traction train module; the train model is pulled to the other direction of the other rail to enable the elastic traction mechanism to tension to generate contraction elasticity; and the pulled train model is released and is speeded up to the testing speed under the drive of the contraction elasticity of the elastic traction mechanism. The invention has simple implementation method and easy control, can realize the operation that the trail can quickly accelerate to 400 km / h from still and from high-speed brake to still, has higher testing accuracy, can relatively truly reflect ground effect and train crossing condition and reflect various actual running states of trains on rails.

The invention relates to comprehensive geographical spatial data coordinate conversion method and system. The method comprises the following steps: setting a source coordinate format and a target coordinate format; setting a source coordinate system and a target coordinate system; selecting a conversion mode and a conversion model of coordinate conversion, and setting a conversion parameter of the coordinate conversion; inputting coordinate data of a known control point in the source coordinate system and the target coordinate system; calculating coordinate conversion parameters according to the coordinate data of the known control point; and converting the coordinate data of a to-be-converted point in the source coordinate system into the coordinate data of the target coordinate system according to the coordinate conversion parameters. The comprehensive geographical spatial data coordinate conversion method and system can be used for achieving space coordinate conversion between geographical spatial data with different formats and different coordinate forms, proportional scales and coordinate systems, achieving conversion and calculations such as projection and band change of geographical spatial data achievements between different coordinate systems, and achieving conversion parameter calculation and accuracy assessment; meanwhile, the input process of the coordinate data of the control point is simple; and the coordinate conversion efficiency is high.

The invention relates to a training method and system of a commodity personalized ranking model. The training method comprises the following steps: according to long-term interest characteristics in historical commodity data, carrying out off-line training on the commodity personalized ranking model, obtaining a parameter corresponding to each long-term interest characteristic, i.e. obtaining the commodity personalized ranking model with high precision, and eliminating short-term characteristics in the historical commodity data to reduce time consumption; and at a unit time interval, obtaining real-time commodity data, expanding the commodity personalized ranking model subjected to the off-line training, and carrying out on-line training on the expanded commodity personalized ranking model according to the long-term interest characteristics and the short-term characteristics in the real-time commodity data to obtain an updated parameter corresponding to each long-term interest characteristic and an updated parameter corresponding to each short-term interest characteristic. Therefore the expanded commodity personalized ranking model is updated for one time at the unit time interval to obtain the model with higher timeliness and realize the balance of the precision and the timeliness of the model so as to obtain a better prediction result.

The invention relates to a high speed multi-dimensional vibration measuring device and method based on a stripe target. The device comprises a stripe target, an imaging module, a signal control and processing module and a display module. The method includes the following steps: arranging the stripe target on a vibration structure to be measured; adopting an image module to conduct continuous imaging and recording on the stripe target; utilizing the imaging module to transmit the image of the stripe target to the signal control and processing module; utilizing the signal control and processing module to conduct Fourier transform on the stripes at the same position of the same stripe target in each frame of the image, adopting a certain peak value frequency correction method to accurate correct the peak value frequency, and then utilizing the imaging mathematical relation and the corrected peak value frequency to obtain a time domain curve with stripe target structure vibration, namely acquiring structure vibration signals through reduction; displaying an image processing result through a display module or conducting further data processing through vibration signals. By means of the device and method, vibration measurement of points, lines and faces in certain range is achieved, the measurement speed is high, and the accuracy is high.

Embodiments of the invention disclose a navigation method, a device, an apparatus, and a storage medium based on a ground texture image, wherein the method comprises the following steps: performing animage registration based on a transform domain on an acquired current frame image and a previous frame image to determine the first position of the current frame; determining whether the current frame satisfies a preset condition for creating a key frame, if yes, performing the following steps: inserting the current frame as the key frame into a map, and performing a closed loop detection to determine a loopback key frame; performing the image registration based on the transform domain on the current frame image and the loopback key frame to determine the second position of the current frame;determining a cumulative error according to the first position and the second position of the current frame, and modifying the map according to the cumulative error to navigate according to the modified map. According to the embodiments of the invention, the position can be calculated by the image registration based on the transform domain, the cumulative error is determined and modified, and theaccuracy of the SLAM navigation is improved.

The invention discloses a fast and accurate positioning device and method for railway transit vehicles. The positioning device comprises a laser displacement sensor, a cord-pull-type displacement sensor, a railway vehicle travelling distance detecting unit and a synchronous collecting and data processing unit. The vehicular laser displacement sensor is used to detect the distance between a vehicle and railway, the cord-pull-type displacement sensor is used to detect yaw angle of the vehicle travelling along the direction of the railway, vehicle travelling distance is obtained by the aid of a wheel axle pulse sensor, and vehicle yaw angle data and railway feature data are obtained by using the vehicular data collecting and processing module for calculation. The obtained vehicle yaw angle data and the railway feature data are matched to roughly position the vehicle, position correction is performed on the obtained railway feature data according to the rough positioning result, and the corrected railway feature data is matched with historical railway feature data to realize high-precision absolute or relative positioning.

The invention discloses an automatic control method of workpiece-carrying injection molding. Automatic control of workpiece-carrying injection molding is completed through a rotor handling system, wherein a robot arm handling system is arranged near the side of an injection molding machine in a hanging manner, and automatic feeding of an embedded member of the injection molding machine and procedures of automatic grabbing and automatic placing of a finished injection molding workpiece are realized through a pneumatic control system and a program control system, wherein the robot arm handling system is provided with a grabbing mechanism which is composed of an air cylinder-controlled horizontal extending mechanism, and an air cylinder-controlled finished injection molding workpiece grabber mechanism, a small air cylinder-controlled embedded member compacting mechanism and a small air cylinder-controlled embedded member extending and compacting mechanism. The invention further discloses a robot handling system. The robot handling system is an automatic system which is high in automation degree, high in production efficiency and strong in universality, and is capable of lightening the labor intensity of manual operation, and realizing the automatic feeding of the embedded member of the injection molding machine and automatic grabbing and automatic placing of the finished injection molding workpiece.

The invention relates to a three-dimensional reinforcing steel bar lofting method. The three-dimensional reinforcing steel bar lofting method includes the specific steps that 1, a concrete member solid model is generated through three-dimensional modeling software, 2, the types and the lap joint lengths of reinforcing steel bar connectors are preset according to the design and standard requirements for reinforcing steel bars; 3, the types and the number of the connectors are automatically calculated according to the positions of the reinforcing steel bars and the selected types of the connectors, and corresponding connector type models are generated at the lap joint positions of the reinforcing steel bars; 4, after the positions of the connectors are partially adjusted, the related positions of the connectors and the whole model are automatically updated through refreshing; meanwhile, generation of three-dimensional or two-dimensional material lists are supported, and the statistics of the quantity of reinforcing steel bars is carried out in real time. By means of the three-dimensional reinforcing steel bar lofting method, blanking in the three-dimensional model mode can be achieved; as for complex members, observation can be carried out in any direction, any sectioning can be carried out, and a reinforcing steel bar arrangement person can conveniently learn drawings; due to consideration of the positions of the reinforcing steel bar connectors, calculation of the construction quantity can be sufficiently achieved, project cost is saved, and workloads are reduced.

The invention discloses a steer-by-wire double-motor system based on driver behavior identification and a yaw stability compensation strategy thereof. The system comprises an acquisition unit, a central controller, a steering wheel assembly and a front wheel steering assembly; the compensation strategy of the steer-by-wire double-motor system is that: a predicted steering-wheel steering angle is obtained by driver behavior identification and a steering-wheel steering angle measured by a steering-wheel steering angle sensor, and is transferred to the central controller, a yaw angular speed gainand a lateral acceleration factor are integrated to obtain an ideal transmission ratio, and a relationship between the steering-wheel steering angle and an ideal input steering angle of a steering-angle motor is obtained and transferred to a steering angle motor controller so as to carry out open-loop control on the steering angle motor; then an ideal front wheel steering angle is obtained according to the steering-wheel steering angle and the ideal transmission ratio, an ideal yaw angular speed is obtained, a compensation torque of the system is obtained by a robust controller, and the compensation torque is transferred to a torque motor controller by a compensation control strategy so as to ensure rapid response performance of the system and driving stability in the driving process.

The invention relates to an online precise advertising method and system based on big data driving. The method comprises steps as follows: user behavior is subjected to tagging processing on the basis of big data analysis; advertising space code information loaded when a user accesses a web page is acquired, user characteristic information is extracted, and the advertising space code information and the user characteristic information are returned to the online precise advertising system; the online precise advertising system performs matching and accurate advertising according to real-time advertisement bidding and interest weight. On the basis of combination of a big data mining technology and precise advertising, the problem of inaccuracy of traditional advertising users is solved with a modern internet advertisement technology; user behavior data of the users for advertisements in the whole commercial chain is recorded and analyzed, so that the precision of the advertisements is better realized, cooperation with consumers is promoted, user data is exchanged, and the precision of online advertising is continuously improved.

The integrated testing target is composed of black / white interband and gray object points on the black / white interband. The method includes steps: establishing transformation relations between world coordinate system (CS) and camera CS, between pixel CS and image CS, between camera CS and image CS in sequence; collecting imaging polar coordinates (PC) of distortion image; plotting ideal imaging PC without distortion; determining coincidence relation between coordinate points (CP) of ideal image and CP of distortion image, and building polynomial model; based on polynomial coefficient to measure and correct distortion. The invention considers combined information of point target and row target for the integrated testing target. Using the integrated testing target replaces traditional three discrete target boards so as to solve issues of low position precision of target sample points, and difficult to make corresponding positions between target sampling points and image points.

The invention relates to map navigation, and provides a vehicle running lane positioning method and device as well as a terminal. The method comprises the following steps: acquiring lane line information; acquiring target information; acquiring effective target information in the target information; acquiring roadside information according to the effective target information and the lane line information; judging whether the roadside information is continuous or not; and if so, acquiring lane map information of a current vehicle running lane according to the roadside information, the lane lineinformation and map data. The roadside information is acquired through linear fitting or curved fitting, or by finding an offset boundary. Through adoption of the method, the vehicle lane can be determined on a low-accuracy navigation map under to the assistance of a visual sensor and a radar sensor; the accuracy of a lane-level map is achieved; the vehicle manufacturing cost is lowered; and convenience is brought to the volume production of vehicles.

A passive method is provided as alignment means for aligning an optical fiber with an optical element in assembling an optical module, while increasing alignment accuracy. A mount (28a) equipped with an optical element (3a) is positioned by abutment on a face (33c) of a projection (33a) formed inside a package (33) and on a side (33g) of a positioning pad (37) projecting from the bottom (33f) of the package. A mount (28b) equipped with an optical element (3b) is positioned by abutment on an inner wall (33b) of the package and on a face (33i) of a projection (33c) formed inside the package. Since the optical power of received or emitted light need not be monitored for fine adjustments of alignment, this method is less expensive.

The invention discloses an unmanned aerial vehicle pesticide spraying system based on a convolutional neural network chip, and relates to the field of intelligent agricultural machinery. The unmannedaerial vehicle pesticide spraying system comprises a mapping photographing unmanned aerial vehicle, a pesticide spraying unmanned aerial vehicle and an unmanned aerial vehicle console, wherein the unmanned aerial vehicle console controls the mapping and photographing unmanned aerial vehicle to map the farmland coordinate information and shoot the crop images, and transmit the information to the unmanned aerial vehicle console, the unmanned aerial vehicle console performs pest and disease judgment processing on the crop images in real time through the convolution neural network chip, and a coordinate positioning technology is adopted to control the pesticide spraying unmanned aerial vehicle to carry out automatic corresponding pest and disease crop spraying, so that the height automation and precision of farmland pesticide spraying are realized, the labor is saved, the pesticide use amount is reduced, and a technical guarantee is provided for green agriculture.

Disclosed is a regional ground settlement monitoring method based on multiple track and long strip CTInSAR (coherent target synthetic aperture radar interferometry). The regional ground settlement monitoring method based on the multiple track and long strip CTInSAR includes seven steps: step 1, partitioning long strip radar data and performing accurate registration on the long strip radar data after being partitioned; step 2, generating a differential interference stripe atlas; step 3, removing track remnant phase positions; step 4, performing CTInSAR timing sequence analysis; step 5, examining and correcting adjacent partitioning blocks of a long strip; step 6, unifying coordinate systems of multiple tracks; step 7, examining information of the multiple tacks and unifying basis references. The regional ground settlement monitoring method based on the multiple track and long strip CTInSAR solves the two main problems that how to reduce error influences of base line error, atmospheric oscillation, phase unwrapping noise and the like, which show obvious low frequency characteristics along with range enlargement in a spatial domain during the deformation information extraction process and how to perform the accurate registration on deformation monitoring results of the adjacent tracks on space positions, which are encountered during the large region deformation survey and monitor process of InSAR (synthetic aperture radar interferometry), and unifies the basis references of deformation measurement among the different tracks.

The invention provides a mobile cloud and end internet of Things system which is characterized by comprising a detected client mobile user end, and a medicine center cloud end, wherein the medicine center cloud end receives data coming from the detected client mobile user end, packs and re-files filed data into different specialist physician reception modules; and the different specialist physician reception modules send data to different doctor mobile user ends. According to another technical scheme, the invention provides a classified treatment information generating method. According to the system and the method, three carriers: the client mobile user end, the medicine center cloud end and the doctor mobile user ends are used for constructing and assisting the current conventional electronic health medical system by establishing and managing a strong online database based on wireless communication network tele-interconnection of a mobile, online interaction of a Web page module, and a virtual cloud server technology, thus truly realizing instantaneity, precision, efficiency, stability, fidelity and safety of internet of Things medicine.

The invention discloses a multifunctional depth-setting water level water quality sampling device. The sampling device comprises a horizontal telescopic pole, wherein the horizontal telescopic pole is fixed to a tripod on the shore; a sampling disc including a cover is hung on the front end of the horizontal telescopic pole through connecting lines; the sampling disc with the cover comprises a top cover and a disc body; connecting line through holes and liquid feeding needle through holes are formed in the top cover; a liquid feeding needle passes through the liquid feeding needle through holes so that sampling and liquid feeding are controlled under the driving of a liquid feeding needle motor; a water quality parameter measuring device is arranged outside the top cover; the disc body comprises a chamber which can accommodate a plurality of sampling bottles; the sampling bottles are respectively arranged on a rotating platform with multiple grooves; the rotating platform is driven by a bottom rotating motor so that the sampling bottles respectively rotate below the liquid feeding needle for sampling; the liquid feeding needle motor, the water quality parameter measuring device and the rotating motor are respectively connected with a controller. The sampling device is characterized in that the water quality parameter under the depth is measured by the water quality parameter measuring device after the sampling disc reaches a preset sampling depth, and the sampling bottles respectively execute continuous sampling, and thus the sampling device is simple to operate and convenient to use.

A grating heterodyne interference auto-collimation measuring device mainly comprises a two-frequency laser, a 1 / 4 wave plate, a beam splitting system, a photoelectric conversion system, a polarization beam splitter, a reflector and a grating. The two-frequency laser emits two-frequency laser which passes the 1 / 4 wave plate and which then turns into two mutually-perpendicular linearly-polarized beams. The beams entering the beam splitting system are divided into three beams; one beam enters a reference light path photoelectric conversion system; last two enter a positive-negative gage beam polarization beam splitter. In the laser entering the polarization beam splitter, a reflected beam S is reflected to the grating by the reflector, and an incident angle is set into an auto-collimation angle of the corresponding diffraction order; through reference light information, horizontal and vertical displacements of the grating can be known. The auto-collimation right angle is set not depending on grating displacements. Therefore, the grating heterodyne interference auto-collimation measuring device is applicable to measuring horizontal large-travel displacement and vertical displacement.

The invention relates to a fully-automatic rolled sheet energy saving blanking machine, which is suitable for shoe making industry, embroidery industry, textile industry, paper industry and so on. A discharge worktable of the machine is connected with a host machine through a conveyer belt chain, the host machine is connected with a material feeding worktable frame which is connected with a rolled material feeder, a cylinder outlet pipeline is connected with a press roller, and two oil path pipes of a hydraulic device are connected with a hydraulic mechanism of a moving head device main body. An integrated control circuit is arranged in a computer program controller so as to input a required mechanical action program into a computer and the mechanical action program is displayed on a human-computer interface in full Chinese and English. Circuits of the computer program controller are connected with a discharge worktable device, the material feeding worktable device, the moving head device, a pneumatic device and a hydraulic device respectively. A waste material recovery mechanism is arranged on the discharge worktable, so as to solve the technical difficult problem that a finished product and a waste rolled material are mixed together and need to be selected by manpower for a long time. A plurality of rolled materials or sheets are conveyed onto the surface of the worktable through a convey roller, and the material convey speed is controlled by the computer program controller, so the material convey automation is realized. A magnetic suction disc is arranged below the moving head so as to suck a plurality of cutter heads. One machine is provided with a plurality of molds for blanking and punching so as to ensure the assembly and disassembly of the cutter molds are fast and convenient, and save time and labor.

The invention discloses a method for improving the data resolution ratio of a silica-based optical matrix processor and the processor. The method includes the steps that laser signals are output by a laser array and received and modulated by an optical modulator array to an N*1 vector A; a modulator matrix is formed by a micro-ring optical modulator matrix, wherein modulation depths form an M*N matrix B; optical modulation is carried out respectively by dividing the vector A into k subvectors and dividing the matrix B into k submatrixes so as to obtain the product of the k subvectors and the k submatrixes; the obtained product of the subvectors and the k submatrixes is detected by a detector linear array formed by k detectors, and then the product of the vector A and the matrix B is obtained; the element bit wide of each subvector and each submatrix is m, m bit vectors and m bit matrixes are formed after bitwise separation, and the product of the subvectors and the submatrixes is obtained by multiplying the bit vectors by the bit matrixes respectively.

A capacitance mismatch calibrating method for a successive approximation register ADC which includes at least one array of capacitors is provided. The method includes the following steps: firstly, at least two compensating capacitors are configured. A capacitor from the array of capacitors is selected as a capacitor-under-test. Then, the terminal voltages on the terminals of the array of capacitors and on the terminals of the compensating capacitors are determined. A first comparison voltage is outputted based on the determined terminal voltages. Afterwards, a sequence of comparisons is controlled based on the first comparison voltage and a second comparison voltage to output a sequence of corresponding digital bits. Finally, a calibration value is calculated to calibrate the value of a capacitor-under-test according to the digital bits.