184results about How to "Guaranteed withdrawal" patented technology

The invention discloses a frame identifying method for serial data. According to the method, data frame identification is carried out on the received serial data by a two-stage buffering mechanism. The frame identifying method comprises the steps of: in the first stage buffering, carrying out data frame identification on the received data by using a frame head, a frame tail, frame length and a verifying and matching section as receiving parameters; and outputting identified correct data frames to the second-stage buffering; and in the second stage buffering, accessing the data frames output by the first stage buffering by adopting a first in first out array. The frame identifying method provided by the invention realizes universality and rapid reception of the serial data on the premise of identifying and extracting the data frames in a serial data packet.

The invention discloses a fire video detection and early warning method based on image multi-feature fusion, and the method comprises the steps: firstly carrying out the preprocessing after an image sequence of a video is obtained; extracting a foreground region, and obtaining a detected candidate region; secondly, extracting static features and dynamic features from the candidate areas, judging whether flames are contained or not by taking the static features and dynamic features as input of an SVM classifier when the flames are detected, and obtaining whether smoke is contained or not afterlogic combination selection and calculation are conducted on feature judgment results when the smoke is detected; finally, if it is detected that flames or smoke exists, carrying out fire judgment according to the growth trend of the flames or smoke; when it is judged that a fire occurs, carrying out fire alarm on the monitoring site, and otherwise carrying out fire alarm only on the background. The method can be combined with an existing monitoring system to be applied to places such as shopping malls and warehouses, the fire detection and early warning cost is reduced, the detection method is good in generalization ability and applicability, reliable fire detection and early warning functions can be provided, and the method has practical value.

The invention relates to a deep neural network target detection method based on multi-scale receptive field feature fusion, and the method comprises the steps: collecting a training sample image whichcomprises three RGB channels, and attaching object detection box labels and the category label information of each object; converting image data and label data in the collected image data set into aformat required by training the deep convolutional neural network through preprocessing; designing a deep convolutional neural network structure based on multi-scale receptive field feature fusion; designing a deep neural network structure applied to target detection, determining an input layer and an output layer of the network according to the structure of input and output data during design, determining the number of multi-scale receptive field feature fusion modules and the number of convolution layers in the neural network, and determining the number of times of network training loop iteration and the final convergence condition of the network; and according to the structure of the trained target and model, defining a required loss function, and in the training stage, carrying out regression on the category of the target and the offset of the detection frame.

The invention discloses a method for extracting color and changing theme coloring by utilizing a traditional camera. The method mainly comprises a color extracting method and a theme coloring changing method. The color extracting process comprises the following steps: entering a color picking mode by a custom operation (entering a menu or pressing a specific key) at a terminal, opening the camera for starting automatic framing, and displaying the framing data after latticed special effect processing on the interface of the terminal for a terminal user to refer to the approximate color of the framing region of the camera at present. When the user finishes framing, the color extracting method starts to carry out color analysis and extraction on the data captured by the camera. In the method, color changing is performed by utilizing a GIF (graphics interchange format) picture so that the operation is greatly simplified and the efficiency is improved.

The invention discloses a lithium ion battery health state estimation method based on a codec model, which comprises the following steps of: (1) acquiring battery charging and discharging period dataincluding terminal voltage and current data and the maximum discharging capacity in each charging and discharging period; and (2) constructing a codec model of an attention mechanism according to thecharacteristics of the acquired data, wherein the codec model comprises an encoder and a decoder, voltage and current values are used as encoder input, an SOH estimated value of the battery is obtained and used as decoder output, and the number of nodes of each layer is determined; (3) preprocessing and normalizing the data acquired in the step (1), inputting the data into the codec model with randomly initialized weight, and minimizing the output error of the codec model through Adam algorithm training; and (4) inputting a new test sample into the codec model trained in the step (3), and calculating a prediction error so as to evaluate the accuracy of model prediction.

The invention discloses an automatic public transport passenger flow counting method and system. The method comprises the following steps: I. acquiring a video; II. acquiring a current background edge image; III. acquiring a current video frame edge image and a gradient direction angle of each pixel point; IV. acquiring a target edge image; V. acquiring a candidate circle center linked list; VI. acquiring the contours of the head parts of passengers; and VII. grouping and combining candidate circles to obtain the circular contour corresponding to the head part of each passenger; and VIII. tracing the contours of the head parts of all passengers to obtain the number of the passengers. The method has high counting precision and strong practicability, solves the difficult problem of counting the public transport passenger flow and provides technical support for achieving reasonable distribution, effectively utilizing the limited public transport resource and improving the public transport operating efficiency.

The invention discloses a game engine shortest path search method and a game engine system. The shortest path search method includes the following steps that first, an initial node is added to an Open list; second, the Open list is inspected, wherein if the Open list is empty, path finding fails; a node with the minimum f value in the Open list is found and serves as the current node, the node is transferred into a Closed list, and the third step is executed; if the current node is the finial node, path finding is successful, and the fourth step is executed; third, corresponding operations are performed on all the adjacent nodes in the eight directions; fourth, a path is saved, wherein according to information provided by the Closed list and a parent node list, backtrack is performed according to a parent pointer of a target node from the target node, and thus a path from a source node to the target node is obtained. Through the game engine shortest path search method, search efficiency and search accuracy can be improved. By adding one parent node list, detours are prevented from being taken, and it is guaranteed that the optimum path is extracted.

The invention discloses a self-propelled peeping probe adapted to different diameters of drill holes and a peeping method thereof. The probe comprises a peeping probe body, a camera, walking wheels, rocker arms connected to the walking wheels, and an operating host. The rock arms can achieve a certain angle of damping opening and closing under the effects of internal torsion springs and gas springs and have alarm functions, and the rocker arms can be fixed in grooves of a peeping probe side through locking holes and locking blocks. The self-propelled function of the peeping probe in a drill hole can be achieved through an internal power supply, a driving motor, a video processing module, a control module, a WIFI module and the external operating host. The peeping probe has the advantages of centered drill hole, self-propelling and less workers in operation in a drilling peeping operation process, the complexity in a conventional drilling peeping operation is reduced, a push rod and a video transmission line are removed, auxiliary accessories are greatly reduced, and a new solution is provided for determining the fracture of a rock mass through drilling peeping in underground engineering.

The invention discloses a channel-free hoisting and translation stereoscopic parking garage and a car parking and fetching method. The parking garage comprises a parking garage framework, wherein a translation plane is arranged on the top layer of the parking garage framework; translation rails are arranged on the translation plane; a movable translation carrying plate is arranged on the translation rails; parking and fetching elevator rails for carrying a parking and fetching elevator are arranged above the translation plane; a car loading frame is used for carrying a framework or a frame box of a car; the elevator is used for moving the car between the bottom of a parking garage framework and the translation plane; a car parking and fetching device is arranged in the elevator; and the car loading frame is grasped by the parking and fetching elevator and is moved in the vertical direction. According to the channel-free hoisting and translation stereoscopic parking garage, the translation of the car is carried by the translation carrying plate and can carry out translation including transverse movement and longitudinal movement; and hoisting and transverse movement only refers to the transverse movement in one direction. With the adoption of the channel-free hoisting and translation stereoscopic parking garage, land resources are sufficiently utilized; and compared with a hoisting and transverse movement stereoscopic parking garage, the utilization rate of stalls can be improved by one time, and a space for parking and fetching the car is greatly reduced.

The invention relates to a technique for extracting lignin, in particular to a technique of utilizing organic acid to extract the lignin from biomass raw materials by a catalytic action of hydrogen peroxide. According to the method, the lignin is obtained by extracting the biomass raw materials boiled by organic acid formed by methanoic acid and acetic acid by the catalytic action of hydrogen peroxide; a whole technique route is simple; the energy consumption is lower; and an extraction ratio of the lignin reaches 80-90%.

The invention discloses a lane line extraction method and device and computer equipment, relates to the technical field of computers, and can solve the problem that lane line information cannot be effectively and accurately extracted. The method comprises the steps: calibrating a camera and a three-dimensional laser scanning lens jointly, and obtaining the space conversion relation between a camera coordinate system and a laser radar coordinate system through calculation; projecting the obtained point cloud data to a two-dimensional plane according to the space conversion relationship to obtain a to-be-detected image; utilizing an edge detection algorithm to extract a lane line contour in the to-be-detected image; and screening out lane line point cloud data, and converting the lane line contour into a laser radar coordinate system by utilizing the lane line point cloud data to obtain lane line information. The method is suitable for accurate detection of the lane line.

The invention relates to a lane line extraction method and device based on crowdsourcing data and a storage medium, and belongs to the field of automatic driving. The method comprises the following steps: collecting original lane line cluster data, and obtaining an end point of each lane line to form a point set; calculating a main direction line segment of the point set based on an obb algorithm; equally dividing the main direction line segment according to a certain length interval, and establishing a vertical line segment of a main direction line segment equal division point; when a plurality of intersection points exist between any vertical line segment on the equipartition point and the lane line cluster, solving the median of the plurality of intersection points, and marking the position corresponding to the median as an effective point; and compressing the ordered shape point string formed by all the effective points to obtain a representative lane line of the lane line cluster. Through the scheme, the representative lane lines can be quickly and accurately extracted from the crowdsourcing lane line cluster data, the calculated amount is reduced, and the extraction process is simplified.

The invention discloses a multi-view stereoscopic vision system for indoor scene virtual reality live broadcast. The multi-view stereoscopic vision system for indoor scene virtual reality live broadcast includes M indoor guide rails, N independent cameras sliding on the M guide rails, N drive dollies which can drive the cameras to move on the guide rails, a processor and virtual reality output equipment, wherein M>=1, and N>=3; the N independent cameras can be combined two by two to shoot a target object, and can transmit the shot information to the processor; after processing the information, the processor transmits virtual reality video signals to the virtual reality output equipment; and a user can observe the target object through the virtual reality output equipment. As the plurality of cameras can form multi pairs of binocular stereoscopic vision systems two by two, the multi-view stereoscopic vision system and system for indoor scene virtual reality live broadcast can observe and shoot the object to guarantee that the environment information of the object and the surrounding environment of the object can be maximally extracted so as to enable 3D modeling to be more exquisite.

The invention puts forward a generation method and device for a source independent continuous quantum random number. The method comprises the following steps that: a continuous physical random source generates a continuous light field; the continuous light field is subjected to heterodyne detection, and meanwhile, two non-commutative mechanical quantities of the light field are measured, wherein the two non-commutative mechanical quantities are a component X (regular coordinate) and a component P (regular momentum); the continuous measurement results of the two mechanical quantities are discretized to independently obtain an initial random sequence under one component and a checking sequence under the other component; according to the checking sequence, the maximum entropy of a continuous random source is calculated; and through an entropy uncertainty principle and a maximum entropy calculation result, the conditional minimum entropy of the initial random sequence is obtained, and a completely random binary system true random sequence is obtained through postprocessing. By use of the method, additional random number does not need to be provided, the method does not depend on a hypothesis for sources, a "trusted" part in the physical random source can be effectively extracted, and the quantum random number is generated.

The invention belongs to the technical field of rare earth production, and particularly relates to a rare earth ore fine-processing device and a control system thereof. The rare earth ore fine-processing device comprises a box body, a filtering plate, a crushing unit and a turning unit, wherein the filtering plate is mounted at the bottom of the box body and used for filtering crushed rare earth ore; the crushing unit comprises a rotating shaft, crushing rods and a motor; the rotating shaft is vertically mounted in the box body; the crushing rods are horizontally mounted on the rotating shaftand used for crushing the rare earth ore inside the box body; the motor is used for driving the rotating shaft to turn; the turning unit is positioned at the bottom of the box body; and through the cooperation between the turning unit and the crushing unit, the rare earth ore which is incompletely crushed can be raised and crushed again, thereby guaranteeing the rare earth ore crushing uniformityand the rare earth ore utilization ratio. By the adoption of the rare earth ore fine-processing device provided by the invention, the comprehensive crushing of rare earth can be achieved and the sufficient extraction of a rare-earth raw material can be guaranteed.

The invention relates to a lignin extraction process, and particularly relates to a process for extracting lignin from lignocellulose biomass by using organic acids. The method of the invention extracts lignin by performing acidolysis of lignocellulose biomass with a mixed organic acid of formic acid with a concentration of 5-90% and acetic acid with a concentration of 5-90%; the lignin extraction rate is up to 85%; the whole process route is simple, and low in energy consumption; the process can be used for combined production of cellulose and pentose, and even products such as furfural and the like.

The invention discloses a method for diagnosing leading screw faults, belongs to the technical field of machinery fault diagnosis, and especially relates to ball screw fault diagnosis. The problem that a conventional intelligent leading screw fault diagnosis system is difficult for manual extraction of characteristics and limited in applying shallow-layer network non-linear expression capability. A diluted self-coding deep neural network structure is employed, and a network identification model employs a Softmax regression classifier to determine the hidden layer quantity of a network structure. The quantity of the input terminals and the quantity of the output terminals of a fault diagnosis model are determined, a training sample set, pre-training, fine tuned training and a fault diagnosis model test sample set are prepared, and the fault diagnosis performance of the fault diagnosis model is tested. Data sections in the test sample are integrally input continuously and sequentially, and the output quantity of the model is recorded to obtain an actual output list of the model. The ideal output list of the model is compared with the designed output list to obtain the fault performance test and evaluation result of the fault diagnosis model.

The invention discloses a reduced pressure ultrasonic combined extraction device, which comprises an extraction tank, a condenser, a cooler, and a gas-liquid separation device used for keeping the extraction tank positioned in a vacuum state, wherein the extraction tank, the condenser, the cooler and the gas-liquid separation device are connected end to end and form a circulation loop through a pipeline; and the device is characterized in that: an ultrasonic generating device and a stirring device are arranged below a liquid level inside a tank body of the extraction tank. The device can keep extraction always operated under a certain vacuum degree, reaches a boiling state at lower temperature, shortens the extraction time, improves the product yield and quality and keeps activity of a natural product; moreover, the extraction time can be shortened further due to arrangement of ultrasonic equipment, and ultrasonic waves dissolve out substrates in a cell wall more easily, so that the product yield is greatly improved. The reduced pressure ultrasonic combined extraction device has great application market in the extraction process.

The invention refers to a machining line, in particular a transfer line or assembly line, comprising a multitude of machining stations arranged one after the other in the direction of machining, and the machining station serves for machining work pieces, wherein at least one machining station is designed as special station. The invention is characterized by the fact that between two adjoining machining stations one conveying device each is provided.

The invention discloses a preparation method of creeping dichondra-berchemia lineata-verbena Gantai preparation, prepared from creeping dichondra, berchemia lineate, verbena, stephania root, herba patriniae, herba epimedii, milk vetch, red peony root, salviae miltiorrhizae and auxiliary materials. According to the preparation method disclosed by the invention, a preparation process is optimized according to properties of each medicine in a formula of creeping dichondra-berchemia lineata-verbena Gantai granules and the effect of the medicine in the formula; and compared with the prior art, the preparation method disclosed by the invention has the advantages that content of active ingredients of a product prepared by the preparation method disclosed by the invention is high and clinical effect is good.

The invention discloses a program source intelligent information production system and method. The system comprises an intelligent information database module, an intelligent information extraction module, an intelligent information edition module and a packaging and releasing module, wherein the intelligent information database module is used for storing and providing information; the intelligent information extraction module is used for extracting relevant information of video clips from the intelligent information database module to form a material source; the intelligent information edition module is used for editing the material source to generate a configuration interface; and the packaging and releasing module is used for carrying out lightweight database filing on the configuration interface, and carrying out packaging and releasing. The program source intelligent information production system and method disclosed by the invention implement intellectualization of the program source, and intelligent matching of video pictures and information, and has the advantages of simple production process, high management convenience and quick information positioning.