667results about How to "Intuitive" patented technology

The invention relates to a device and a method for testing the LED light source intensity space distribution characteristic. The device comprises a base, a testing sample seat, a light intensity detecting unit, a detector bracket, a testing circuit, a computer and testing software. A multi-path synchronous testing method of a plurality of light intensity detecting units is adopted to replace one light intensity detector to sequentially test a plurality of points so as to realize the quick testing of the LED light source intensity space distribution characteristic. Compared with a conventional light distribution curve measuring method adopting one light intensity detector, if N light intensity detectors are used, the testing speed can be improved by more than N times. The device has the advantages of high testing speed and precision, abundant information content and real time and visualization.

The invention discloses an access control method and system for object cloud storage. According to the method, data is stored at a cloud side in object storage structure, and the uploading and downloading of a file object are realized at a client side; when a server receives a request, the security level and security category of the request user are extracted, and the security levels and security categories of the user and the object file are judged through the mandatory access control method. The method and system can conveniently provide services for various clients and mobile terminals. As the two attributes, i.e. the security level and security category, are taken into consideration for the access control policy, the security of the object data is greatly improved. The method and system are capable of supporting the storage of large data volume, and effectively protecting the data privacy.

The invention relates to a networked real-time monitoring-oriented numerically-controlled machine tool machining process parameter acquiring method. According to the method, networked real-time monitoring of the machining states of multiple numerically-controlled machine tools with different control system types and different communication interface modes is achieved based on one server, real-time acquisition and recording of technological process parameters of FANUC, SIEMENS, HEIDENHAIN system machine tools can be achieved based on program names of NC programs and rules with a specific postprocessing format, and automatic transmission, storage and reusing of technological process parameters are achieved. The method is characterized in real-time performance, visibility, integrity, accuracy and the like. Real-time monitoring of the states of the numerically-controlled machine tools, full display of alarm number-based automatch alarm information and automatic transmission, storage and reusing of technological process parameters are achieved based on the spacecraft product numerically-controlled processing flow and the normalized numerically-controlled program format, and integrated application of a digital workshop information system is achieved on the basis.

The invention relates to a method which can automatically analyze the propagation process of an internet hot subject, as well as a system thereof, and belongs to the intelligent information processing technology. As the textual information on the internet gradually increases, an important subject in the text mining and information retrieval field is to automatically detect and analyze the hot or sensitive subject from large text database, the subject has great use value. The invention utilizes the natural language processing approach to automatically analyze the propagation process of the text document in the given hot or sensitive subject; after the text documents in the subject are arranged in a time order, the reference origin of the current text document is searched by utilizing the pattern matching method from the first text document, if the reference origin isn't found, the reference origin is further judged by utilizing the text document similarity comparative method, at the same time, the corresponding source text document is obtained. At last, the reference relation is intuitively presented to the user in a graphic mode. The method is widely applicable to internet intelligent information processing, public opinion analyzing and monitoring, etc.

The invention discloses a method for analyzing crowd density base on statistical characteristics. The method comprises the following steps: video input and frame extraction are carried out; the mosaic image difference MID characteristics are extracted from the video-frequency frame sequence, and the subtle movements in the crowd are detected; the uniform distribution of the sequence time of the mosaic image difference MID characteristics is checked; the geometric correction is performed to the crowd and the scene with obvious perspective phenomenon, and a contribution factor of each picture element to the crowd density is obtained on the image plane; and the weighting process is performed to the crowd space area, so as to obtain the crowd density. Compared with the prior method, the method has no need of the reference background, also has no need of the background modeling and can self-adapt change of either morning or evening light, the algorithm is quite robust, and the application is convenient; the mathematical model is simple and effective, the spatial distribution and the size of the crowd can be accurately located, and the vivacity is strong; the calculation amount is small, and the method is suitable for real-time visual monitoring. The invention can be widely applied to the monitoring and the management of the public places with detained crowd density such as the public transportation, the subway, the square and the like.

The invention provides an impact danger evaluation method of a mine pre-exploiting coal seam. The method comprises the following steps: establishing a mine area three-dimensional digital geological model and visualizing the model; grasping a space occurrence environment of a coal seam; determining a geological master control factor of a rock burst; performing grid division on a horizontal projection of a pre-exploiting coal seam area, quantifying a geological master control factor of each grid point, and forming a coal seam impact danger evaluation index system; generating an isoline nephogram of each index; establishing a mine pre-exploiting coal seam impact danger evaluation model; and evaluating an impact danger grade of each grid point, obtaining an impact danger grade of any position of the mine pre-exploiting coal seam area, and generating and visualizing an impact danger grade nephogram of the mine pre-exploiting coal seam area. According to the invention, by use of a digital visualization geological information technology, an impact danger area is preliminarily grasped in advance before the coal seam is exploited, relevant prevention and control measures can be taken in a danger area, and method provided by the invention has wide application prospect for safe coal seam exploitation of a rock burst mine.

The invention discloses a laser radar and camera fusion device and a calibration method. The laser radar and camera fusion device comprises a vertical lifting platform and a calibration plate bracket,a working table is arranged on a working guide rail on the vertical lifting table; a camera and a laser radar are fixedly mounted on the working table; a calibration plate is fixedly mounted on the calibration plate bracket; the laser radar scans the calibration plate to obtain a horizontal straight line, finds left and right end points of the straight line on the boundary of the calibration plate, then moves for multiple times at the same interval to obtain multiple groups of end points on the left and right side lines, and performs fitting to approximately obtain a linear equation of the left and right boundaries so as to obtain the end points of the calibration plate; pixel points at the positions where the upper end points of the camera pictures are located correspond to the end points, so that a pose relation expression of the camera and the radar can be obtained; by applying the laser radar and camera fusion calibration method, the characteristics under a radar point cloud sparse scene can be obtained, the joint expressions of internal and external parameters can be solved, and the internal parameters of the camera do not need to be measured in advance.

The invention discloses a method for controlling construction quality of an asphalt pavement in real time, which comprises the following steps of: 1, drawing a universal volumetric chart to evaluate volumetric parameter characteristics of various asphalt mixtures, and selecting a proportion of an asphalt mixture, which is suitable for the local environment and is difficult to segregate; 2, checking that whether volumetric parameter information of the asphalt mixture produced in the day meets requirements of design and construction specifications so as to quickly regulate the production process; 3, evaluating the aggregation condition of the asphalt pavement by using the universal volumetric chart; and 4, analyzing and judging the compaction degree condition and temperature condition of the asphalt pavement, judging the compaction qualified rate, judging the significance of the density data difference of the asphalt pavement, checking the construction quality of the asphalt pavement and providing quantitative basis for later period payment adjustment. The method has the advantages of reasonable design, high reliability, high operability, high real-time property, high efficiency of evaluating the construction quality of the asphalt pavement, and high practicability, and contributes to improving construction quality and saving economic cost.

The invention discloses a Bayesian network compensation method for thermal error of a numerical control machine tool, which comprises the following steps: (1) a Bayesian network thermal error prediction model is constructed according to measured sample data; and (2) the real-time compensation of the thermal error of the machine tool is realized according to the prediction result of the Bayesian network model. The compensation system of the invention has a simple structure and reliable application; and the adopted Bayesian network modeling method, on one hand, uses the language of a graph theory to intuitively express the causal dependency relation among various factors which produce the thermal error, on the other hand, analyzes and utilizes the inherent correlation among the factors according to the principle of probability theory to reduce the calculation complexity of inferential prediction, and has the characteristics of intuitive expression, high modeling accuracy and self-adaptation.

The invention relates to a system and a method for monitoring an outdoor display screen by using a video image and/or a digital photo. The system is provided with an image acquisition device, an image monitoring device and a communication device, wherein the image acquisition device is arranged on the front side of the outdoor display screen; and the image monitoring device is connected with the image acquisition device and is provided with an intelligent image identification module, a communication protocol processing module and an intelligent judging and comparing module. The monitoring method comprises the following steps that: the image acquisition device shoots a display content of the outdoor display screen in real time and transmits the shot video and/or digital photo to the image monitoring device; the image monitoring device carries out two types of identification of a point-to-point lattice or an integrated image-text content on the video or the digital photo, and compares aprocessed display screen image lattice file with the original image file of a control center to judge whether the display screen image lattice file is displayed correctly; if a display fault is found, the number of fault lattices is checked in detail to obtain the correct working rate of a light-emitting diode (LED) of the outdoor display screen and automatically generate an alarm signal; and thealarm signal is transmitted to the control center by the communication device, so that maintenance personnel eliminates the fault in time.

The invention relates to a motion behavior analysis recording and reproducing system and a motion behavior analysis recording and reproducing method. The system comprises a motion behavior information acquiring and recording device and a motion behavior displaying device. The motion behavior information acquiring and recording device comprises an acquiring unit, a first processing unit and a first communication unit, wherein the acquiring unit is used for acquiring state information of a target object, the first processing unit is used for analyzing the state information, and generating corresponding characteristic data according to the state information, and the first communication unit is used for sending the characteristic data to the motion behavior displaying device. The motion behavior displaying device comprises a second communication unit, a second processing unit and a display unit, wherein the second communication unit is used for receiving the characteristic data sent by the motion behavior information acquiring and recording device, the second processing unit is used for processing the characteristic data, and sending display control signals according to processing results, and the displaying unit is used for reproducing the state of the target object according to the display control signals. The technical scheme disclosed by the invention has the advantages that requirements on bandwidth of a communication channel are low, the sent data traffic is less, requirements on the processing capability of the processing unit are low, and the cost is low.

The invention discloses a visualized fracture network oil displacement model and a manufacturing method thereof. The structure of the model consists of a transparent template, a gimbal and a base, wherein the transparent template consists of an edge covering frame, a main template, a cover plate and a simulation well, wherein the main template is fracture network grooves formed by jointing matrix rock blocks; sand residue is filled in the fracture network grooves; a sealing pad is embedded between the cover plate and the main template; the edge covering frame covers the circumference of the main template and the cover plate; simulation wells represented by common valves are arranged on the upper and lower edges of the edge covering frame and on the surface of the cover plate, and the simulation wells pass through the upper and lower edges of the edge covering frame and the surface of the cover plate through threaded pipe connectors to be connected with the fracture network grooves; and the gimbal consists of a U-shaped frame, an upright post, left and right rotating components and front and back rotating components, the top end of the upright post is connected with the middle of the U-shaped frame through the left and right rotating components, and the upper end of the U-shaped frame is connected with the middle of the two sides of the edge covering frame through the front and back rotating components. The method provided by the invention can solve the problem that visualized physical experiments in a fracture network and injection well network mode cannot be performed. The method has the characteristics of simplicity, high maneuverability, effectiveness, practicality and the like, and therefore has high promotion and use value.

The present invention discloses a detection method of concrete building water leakage. The method comprises the steps of (1) current condition visual examination, (2) current condition measurement record, (3) aspiration measurement change, (4) the connection of a wave metre and an infrared detector, the determination of the position of a water leakage source and a water leakage path, and the determination of a water leakage serious degree by using the wave metre. The invention provides a leakage blocking method which comprises the steps of (1) drilling a waterproof layer grouting hole, (2) carrying out grouting to make a new waterproof layer, (3) making a leakage repairing reinforced grouting hole in concrete, (4) carrying out internal leakage repairing reinforced grouting, (5) sealing the water inlet of a water leakage source, and filling a water leakage path according to the water leakage serious degree. Compared with the prior art, the methods have the advantages that by using the detection and leakage blocking methods, the leakage blocking method is excellent, the defect degree of an existing concrete structure is accurately judged and the reinforcement of the concrete structure at a later period can be accurately repaired, and thus the durability of concrete is improved to play a significant role.

The invention relates to a log multi-parameter oil-gas layer interpretation and evaluation method based on a radar map and a cloud model. The method comprises the steps of: obtaining interpretation and evaluation parameters by normal geological log, gas log, geochemical log, nuclear magnetic log and the like; integrating log interpretation databases; drawing the log multi-parameter oil-gas interpretation radar map according to different reservoir types in different areas by using the databases; and mapping the interpretation parameters onto the rays of the radar map. The radar map is divided into a good reservoir, a medium reservoir and a poor reservoir from inside to outside; the area of the radar map is taken as the characteristic quantity for finishing characteristic extraction; the area of the radar map is used to calculate a cloud boundary equation, and the cloud boundary equation is mapped on the manufactured cloud scale; the cloud model is the same as the radar map, namely the reservoir is divided into a dry layer area, a low-yield oil-gas layer area and an oil-gas layer area with industrial value from inside to outside. The intuitional and quantitative interpretation and evaluation of log multi-parameter oil-gas reservoirs is realized by the radar map and the cloud model. The interpretation coincidence rate can be increased, and the interpretation conclusion is represented by a graph, so that the log multi-parameter oil-gas layer interpretation and evaluation method is intuitional in expression and strong in applicability.

The invention provides a mobile communication device contact information maintenance method. The mobile communication device contact information maintenance method includes two steps that smart contacts are established and a user modifies information, wherein when the smart contacts are established, the user sets self information on a cloud server through a mobile phone number and synchronizes the self information with data at a cloud end, and cloud end sharing of the contact information of the user can be achieved between the user and a friend in smart contact relationship with the user after the smart contacts are added in a mobile communication device of the user, and when the user modifies the self information, the cloud server can automatically push a notification of information modification to the friend in the smart contact relationship with the user, and then achieves automatic synchronous updating of the modification of the contact information of the user. The mobile communication device contact information maintenance method avoids the defect that when a traditional address book is used, the user needs to manually inform the friend of the modified information such as the mobile phone number, enables the user to check an electronic business card of the friend through the mobile phone number or a name when the user adds information of the friend into the mobile communication device, is convenient to use, and achieves smart management of the contacts in the communication device.

The invention discloses a multilevel menu navigation interface achieving method which includes: displaying partial or all menus of menu assemblies of the same dimension through graphic fields within an option area; when the number of the menus contained by the menu assemblies is larger than the threshold value of the menu number, displaying partial menus of the menu assemblies through the graphic fields with the number equal to the threshold value of the menu number, and when detecting that a mouse of a user drags the option area toward the left or the right, enabling the graphic fields of the menus to correspondingly perform clockwise or anticlockwise rotation; and when detecting that the mouse of the user clicks one graphic area, displaying the menu of the next stage or directly performing the corresponding operations of the menus in the option area. The multilevel menu navigation interface achieving method achieves displaying and different-dimension switching on options of the same dimension through a visual interface and has the advantages of being audio-visual in interface displaying, in accordance with user intuition in operation, simple and convenient.

The invention discloses a reinforcement learning method for dynamically optimizing logistics scheduling and path planning in a machining process, and belongs to the field of intelligent manufacturing.The method comprises the following steps: constructing a total state matrix of logistics scheduling at a certain moment as the input of the neural network; constructing a reward and punishment valueaccording to the total time length of all operation units waiting for materials in the primary processing process and the total number of conflict times of the AGVs, establishing a loss function of aneural network according to the reward and punishment value, training the neural network to maximize the reward and punishment value obtained in the final primary processing process, and obtaining a reinforcement learning decision model; and then for a new processing task, establishing a total state matrix at the current moment in real time, and inputting the total state matrix into the reinforcement learning decision model to obtain an action needing to be executed by the AGV at the current moment. According to the method, autonomous optimal path planning of the AGV in the machining process can be realized, and the technical problem that the logistics scheduling scheme cannot be dynamically and automatically adjusted in real time in the machining process in the prior art is solved.

The present invention discloses a ballastless track plate seam depth non-destructive detection method and equipment based on vibration. For the problem that a feeler gauge method, a non-destructive detection method based on ultrasonic wave and a non-destructive detection method used in detecting a ballastless track plate seam depth have large limitation and the need of actual detection is difficult to satisfy in the prior art, the scheme provides the method and the equipment and aims to use an exciting device to allow a track plate edge to generate tiny vibration, and through analyzing the spectral characteristics of the vibration, the depth of a track plate seam is visually, conveniently, efficiently and accurately measured.

The invention relates to a gravity-assisted navigation route planning method. The gravity-assisted navigation route planning method is technically characterized by comprising the following steps: step1, acquiring a gravity anomaly background image of an adaptive region and an error standard deviation gm thereof through investigation and survey; investigating and surveying performance parameters of all configuration equipment of an inertia/gravity combined navigation system; step 2, finishing configuration and traversing of various possible random routes by utilizing a searching-traversing route algorithm; step 3, calculating a gravity measurement error standard deviation gc and a matching duration inertial guidance positioning error diffusion value delta of all alternative routes; step 4,calculating pre-estimating matching and positioning precision of all the alternative routes, wherein the alternative route with the highest matching and positioning precision is used as a planned route in the adaptive region. According to the gravity-assisted navigation route planning method provided by the invention, an underwater gravity measurement process is simulated by utilizing a gravity measurement error model, and a working condition of underwater navigation of a carrier is stimulated by utilizing an inertial guidance positioning error resolving method; an underwater matching workingcondition can be realized, so that the reliability of the screened paths is ensured.

The invention provides a visualization arrangement method for resources in an OpenStack cloud platform, which comprises the steps of: carrying out three levels of arrangement on the resources in the OpenStack cloud platform by using a visualization method; carrying out arrangement on infrastructure resources provided by OpenStack, and creating a basic virtual machine; carrying out complex configuration on the virtual machine and installing and configuring specific software; and providing Load Balance to carry out supporting, and creating a group of virtual machines with load balance. By visualization dragging combination on OpenStack basic resources and resources created by a user, one group of virtual machines with specific calculation, network and storage abilities are obtained, and a load balancer can be added on the virtual machines to carry out shunting on service traffic so as to improve safety and reliability of an application system. A specific application environment arrangedin a visualizing mode can be optionally led into an application center to generate a set of specific application system, and the specific application system can be subjected to version control, smoothupgrading and backspacing and supports multiple versions to be simultaneously online.

The invention discloses a subway station passenger flow micro statistics and scheduling method. The method comprises the following steps of building a model of the total number of people entering and leaving an automatic fare collection entrance in the time period T, and making a scheduling strategy according to the model; building a dynamic moving model of escalators and pedestrian stairs, and making a scheduling strategy according to the model; and building an in-station-hall dynamic subway waiting people number model, and making a scheduling strategy according to the model. The method has the advantages that the intuitive performance is good; the implementation is simple; and the intentionality is definite, and the like. By the method provided by the invention, the number of people in station entering ticket check-in gate and a station leaving ticket check-in gate in a subway system, the number of people in passages and stairs, and the number of subway waiting people in different station halls in each time period can be predicted; easy-to-be-crowded regions such as station entering and leaving ticket check-in gates, stairs and platforms are subjected to maximum passenger flow threshold value analysis and prediction distribution, so that the passenger flow rule is provided for the relative traffic study; and the data analysis and support is provided for the infrastructure building.

The invention provides a video creation system and belongs to the field of the image technology. The video creation system solves the problem of low creation efficiency and intuition performance of the exiting video creation scheme. The video creation system comprises a storyboard editing and displaying module, a footage acquiring module and a storing module, wherein the storyboard editing and displaying module creates a plurality of scenes in some order in a storyboard and adding descriptors to the scenes; the footage acquiring module controls a video shooting device to shoot footages corresponding to the scenes selected by a user in the current storyboard; the storing module stores scene information of the storyboard provided by the storyboard editing and displaying module and footages transmitted by the footage acquiring module and the corresponding relation between the footages and the scenes. The video creation system integrates creation and edition of the storyboard and shoot, storage and edition of the footages, and can increase efficiency of intuition performance of video creation remarkably.

The invention provides an interactive image text labeling method, which comprises the following steps: a server end receives an image and/or text data sample labeled by a user, and trains a model at the server end based on the sample. The trained model pre-annotates data which is newly loaded to the server end. The pre-annotated data is sent to the client for correction; And the server receives the corrected data to iteratively update the training model. The invention invokes the depth learning algorithm, can carry out on-line or off-line training on the labeled data samples to update the labeling model, continuously optimizes the labeling process, greatly improves the labeling efficiency, and saves human resources and time cost for customers.