2573results about How to "Real-time" patented technology

The invention provides a method for monitoring hydrology and water quality of a river basin under influence of water projects based on Internet of Things. According to the method, various fixed and flowing sensors are additionally mounted so as to obtain real-time hydrology and water quality data of important water areas, in combination with a video technology, monitoring on a spot environment is achieved, the monitoring information is transmitted through the Internet of Things, intelligent prediction for hydrology and water quality of the river basin is carried out through a neural network, and finally, critical applications, such as current situation assessment, tendency estimation, implementation effect estimation and extreme event handling, are achieved through an expert system. The method provided by the invention can provide real-time, reliable and complete hydrology and water quality information for the river basin under influence of water projects, and can achieve cross-regional and multi-machine type integrated remote protection for the river basin.

The invention discloses a human motion capture three dimensional playback system and a method thereof. The system is characterized in that the system comprises a human motion capture subsystem and a human motion playback subsystem; the human motion capture subsystem is composed of a microsensor motion measuring module and a motion parameter estimating module; the microsensor motion measuring module measures corresponding body motion data by a plurality of microsensor units attached to each limbs and trunk of human body respectively, and the motion parameter estimating module fuses microsensordata of different types of each microsensor unit and deduces the mass motion of human body; the human motion playback subsystem is used for receiving human mass motion parameters deduced by the humanmotion capture subsystem. The invention has the advantages of simple structure, high precision, low cost, small volume, low power consumption and convenient usage, has the characteristics of portability and real-time, has wide application in numerous fields and has comparatively strong practical value and application prospect.

The present invention relates to physiological monitoring system, and is especially one kind of wearable low-load physiological monitoring system for multiparameter physiological signal acquisition. The physiological monitoring system consists of a wearable dynamic multiparameter acquisition coat, a patient's hand-held terminal and a remote medical service center. The wearable dynamic multiparameter acquisition coat communicates with the hand-held terminal in short radio communication mode, while the hand-held terminal communicates with the remote medical service center accessed to the Internet in remote radio communication mode. The present invention has the positive effect of realizing the movable monitoring, the remote dynamic monitoring and real-time tracking monitoring on low load physiological parameters of the patient.

The invention discloses an automatic image defogging method based on dark primary color, which is used for solving the problem of information loss because the traditional defogging method highlights details by improving foggy day image contrast. The method provided by the invention comprises: A. calculating the dark primary color of the primary fog images and relevant atmosphere light value; B. according to the luminance component image of the original fog image, calculating a transmission image reflecting local fog concentration in an atmospheric scattering model; and C. determining the defogged primary image according to the fog image, the transmission image and the atmosphere light value in the atmospheric scattering model. Because of being built on the basis of a physical model, the invention can process various fog images in a self-adaption mode; and defogged images have favorable edge details and ideal contrast, and the clarifying effect is superior to the traditional defogging method based on image enhancement.

The invention discloses a facial avatar cartoonization realization method based on cyclic generative adversarial nets. The method includes the steps of crawling a number of real people pictures and cartoon character pictures from the network; identifying the face in the pictures based on the face detection algorithm to obtain a real face avatar and a cartoon face avatar as training samples; constructing cyclic generative adversarial nets composed of generators and discriminators and designing a loss function; taking the real face avatar and the cartoon face avatar as the input, training the cyclic generative adversarial nets to minimize the loss function; and inputting the real face avatar to be processed into the generators of the trained cyclic generative adversarial nets to obtain the corresponding cartoon face avatar. The performance of the first generator of the cyclic generative adversarial nets can be optimal, the input real face avatar can be cartoonized, and the real-timenessand effectiveness of face cartoonization can be realized.

The present invention discloses parallel mass data transmitting middleware of Internet of things and a working method thereof. The invention includes: a data collection module, for forwarding data collected from different types of sensors to an application interaction module after analysis; the application interaction module, for achieving communication between the parallel mass data transmitting middleware of the Internet of things and an application system of the Internet of things, analyzing a control command of the application system of the Internet of things, transmitting to the data collection module, and further transmitting the analyzed sensor data to a data management module; the data management module, for performing data screening, fusion, conversion on the mass data analyzed by the application interaction module, and finally storing the calculated data into the application system of the Internet of things; and a developing regulation module, for setting out a protocol plug-in regulation, a communication channel plug-in regulation, a service field metadata plug-in regulation, etc. The present invention can meet high concurrency access and management of the large scale sensing apparatus of different application fields, various communication channels and various communication protocols.

The invention relates to the field of coal mine safety technique, specifically to a down-hole coal and gas outburst hazard early warning system and early warning method. The coal and gas outburst synthesized early-warning system, uses the existing local area network to connect a synthesized early-warning data server, an early-warning data management system and the existing coal mine safety monitoring system; analyzes the coal and gas outburst early-warning data in the synthesized early-warning data server by an outburst early-warning module; and emits early-warning information based on the analyzed result. The inventive coal and gas outburst synthesized early warning system and early warning method can perform centralized management and comprehensive analysis of the geological structure, coal seam occurrence, gas occurrence, mining production, daily forecast indicators, outburst forecast, gas emission and other security information that originally scatter in various functional sections of coal mine on the geographical information system GIS platform, integrates the existing resources, improves the accuracy of early warning, so that the early warning is both real-time and forward-looking, and can effectively prevent the occurrence of coal and gas outburst in coal mine.

The invention relates to a multi-granularity semantic chunk based entity attribute and attribute value extracting method, and belongs to the technical field of Web mining and information extraction. The method comprises the following steps that a corpus set is constructed and free text extraction is performed; a corpus is subjected to word segmentation, part-of-speech tagging and phrase recognition; the corpus is subjected to semantic role labeling; the corpus is subjected to dependency grammar analysis; the corpus is subjected to semantic dependency analysis; candidate entities, attributes and attribute value triads based on three granularities of words, phrases and semantic roles are extracted; the candidate entities, attributes and attribute value triads are corrected and subjected to error classification by means of a trained classifier. Compared with the prior art, the entities, attributes and attribute value triads based on three granularities of words, phrases and semantic roles are automatically extracted from a free text, the entity attribute and attribute value extraction accuracy and efficiency are improved, and the wide application prospect is achieved in the fields of theme detection, information retrieval, automatic abstracting, question and answer systems and the like.

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 a building information total management system and method. The system comprises a fire control linkage monitoring unit, a public infrastructure monitoring unit, a security monitoring unit, a water and gas leakage monitoring unit, an environment quality monitoring unit, a management controlling unit, a core processing unit and an alarm managing unit, wherein the fire control linkage monitoring unit is used for obtaining smoke and fire detection information; the public infrastructure monitoring unit is used for obtaining working state information of public infrastructures; the security monitoring unit is used for obtaining monitoring data of security monitoring equipment; the water and gas leakage monitoring unit is used for obtaining detection information for representing water/gas leakage of water/gas supply equipment; the environment quality monitoring unit is used for obtaining environment quality detection information; the management monitoring unit is used for receiving a control command of a user and sending the control command to the core processing unit; the core processing unit is used for forwarding the detection information of the monitoring/detection unit and alarm information to the management monitoring unit and forwarding the control command of the management controlling unit to an appointed monitoring/detecting unit to control corresponding building equipment to operate; and the alarm managing unit is used for selecting an alarm mode according to the event grade of the alarm information.

The invention provides a multi-screen interaction system and method. When the screen is switched, a first terminal pushes video switching information to a second terminal, the second terminal conducts protocol analysis according to the video switching information, and a video resource value is obtained according to the analyzed protocol data; and then the second terminal requests a server for the optimal video bitrate playing address of the video terminal and a player is opened to play the video content of the address. The multi-screen interaction system and method can realize same-screen display of multi-screen videos, and can realize interaction realtime performance according to different terminal configurations and different video playing code rates, and local intranet is used for direct connection so as to reduce network environment congestion, network delay, network jitter and the like and lead the interaction information to be transmitted in time and the user experience to be better.

The invention provides a system and a method for sensing a local driving environment in the front. The system comprises a front-end data acquisition system and a background server data processing system, wherein the front-end data acquisition system comprises a vehicle-mounted camera, a laser radar and vehicle interior sensing equipment, wherein the camera is used for sensing pedestrians and lane lines in front of a running vehicle; the laser radar is used for sensing and extracting information of obstacles such as a vehicle in the front; the vehicle interior sensing equipment is used for acquiring running state parameters of the vehicle. Three data transmission types of MyProtocolCarData, MyProtocolCameraData and MyProtocolUrgData are defined, a data format is unified for encoding, and then camera information data, laser radar information data and vehicle interior information data are transmitted to a background server for decoding to integrate three kinds of sensor data into a frame of complete local traffic environment information which is saved into a data storage system, and a function for analyzing and visualizing data of the local driving environment in the front is provided. By real-time and efficient sensing of the local driving environment in the front, rear-end collision accidents are reduced, and the traffic safety is improved.

The invention discloses a wearable device and method for intelligent monitoring and early warning of chronic diseases. The device includes a wearable equipment terminal, a user mobile terminal and a cloud server; the wearable equipment terminal transmits collected physiological signals, motion data and location information processed through a data signal processing module to the user mobile terminal through the wireless communication module; the user mobile terminal includes a wireless communication module, a data storage module and a data processing module; the data processing module is internally provided with an evaluation and prediction model, data in the data storage module is called for evaluating and predicting chronic diseases of users through the evaluation and prediction model in real time, and the evaluation and prediction result is sent to a user interaction interface; the cloud server includes a cloud database and an evaluation and prediction model update module, the cloud database is used for storing the data evaluation and prediction result sent from the user mobile terminal, and an updated personalized evaluation and prediction model is sent to the user mobile terminal to update the evaluation and prediction model.

An interactive smart nails and network information systems, its features is that it is formed by at least by a group of interactive intelligent nails, multifunctional vehicle card / box structure, an interactive smart nails with the appropriate spacing emplaced on the road , road side road or parking place, multifunctional vehicle card / box placed in vehicles, interactive smart nail through its embedded between the wired or wireless data communication devices direct or indirect data communication connectivity, interactive Intelligence nails passing through or near their vehicles at the multi-purpose vehicle card / box and through their respective embedded wireless data communication devices can be single / two-way information and communication. This invention has a variety of functions, high level of intelligence information, reliable performance, lower system costs, the advantages of easy installation, and system maintenance and expansion easy, round-the-clock weather conditions in the application.

Provided is a real-time road condition sharing and video-on-demand method based on road condition pictures. A vehicle-mounted terminal is automatically triggered to photograph and uploads time, position, driving speed and a picture at the moment of photographing to a cloud platform, the cloud platform adds a time label, a position label, a driving speed label, a weather label and other labels to the picture, and then the picture is placed in a picture pool and is shared by all users; besides, the users can send road condition video-on-demand requests to users on the road section, when the requested user receives the video-on-demand requests, the user can agree or refuse the requests, if the user agrees the requests, the vehicle-mounted terminal is triggered immediately to photograph road condition pictures and upload the pictures to the cloud platform for sharing, and the cloud platform immediately pushes the road condition to the users sending out the requests. The method helps the users to avoid congested road sections in real time, and urban traffic congestion is relieved.

The invention provides an online and intelligent optical cable monitoring and fault positioning system based on a GIS platform. The online and intelligent optical cable monitoring and fault positioning system comprises a monitoring unit and a positioning unit, wherein the monitoring unit comprises an intelligent diagnosis mainframe, a diagnosis unit and a PC terminal display unit, the intelligent diagnosis mainframe comprises a central processing unit and an optical time domain reflectometer module, an optical path switching module and an optical power monitoring module connected with the central processing unit, the diagnosis unit comprises a power module and a light source device, an optical coupling module and an optical protection module connected with the power module, and the positioning unit comprises a fault locator arranged in an optical cable. Information is processed by calling optical cable information in time, and meanwhile the system can flexibly utilize a geographic information system (GIS) technology, adopts rack-type integration, and is high in integration level, good in stability and high in expandability. When breakdown occurs, the system can clearly display fault GPS points and fault types, maintainers can perform accurate positioning through a GIS map, and accordingly the maintenance efficiency is improved.

The invention discloses a control method for a robot automatic spraying system. The control method of the robot automatic spraying system comprises the following steps of (1) acquiring feature data of a workpiece to be sprayed; (2) processing acquired data by using an image processing system; (3) automatically generating a track; (4) simulating; (5) controlling a user interface; (6) determining a spraying parameter; and (7) performing spraying. The control method of the robot automatic spraying system has the advantages of high automation degree, high machining precision, wide application range and the like. Different workpiece spraying tracks can be generated automatically, the operation difficulty of a user is reduced, the traditional manual programming on single different-model workpieces to be sprayed is replaced, consumed time on spraying is shortened, and the production efficiency is improved.

The invention provides a real-time three-dimensional double-hand gesture recognition method and system based on binocular vision. The real-time three-dimensional double-hand gesture recognition method based on binocular vision comprises the steps that initial calibration and correction are conducted on an image firstly, the outline of a gesture is extracted, two-dimension gesture recognition is conducted on the extracted gesture outline, the mass center of the gesture outline is calculated, stereo matching is conducted on the mass center obtained through calculation, three-dimensional hand gesture recognition is achieved, and corresponding gestures are displayed in a human-computer interaction module based on the three-dimensional hand gesture recognition. According to the real-time three-dimensional double-hand gesture recognition method and system based on binocular vision, binocular vision information can be utilized, and human-computer interaction, based on the three-dimensional space, of double-hand gesture change of a computer is achieved; meanwhile, extremely high real-time performance and extremely high effectiveness can be achieved, and requirements for hardware are lowered; in addition, the man-machine interaction effect is achieved, and the requirements for real-time performance and effectiveness are well met.

The invention discloses a smart safeguard fence, comprising a left upright post, a right upright post and a net fence between the left and right upright posts, wherein a vibration optical cable is arranged in the fence, two ends of the vibration optical cable are respectively connected with a tension sensor and a high voltage pulse module which are arranged in the upright posts, a passive infrared module, a wireless communication module, a microcontroller, a power source module and a storage cell are mounted further in the upright posts, the power source module comprises an energy conversion module, a smart power supplying switching module and a voltage varying and stabilizing module, cloud deck cameras are mounted at the tops of the upright posts, solar generating assemblies are paved at the outer faces of the upper parts of the upright posts, and the microcontroller is communicated with a monitoring center by the wireless communication module. Couplers are respectively arranged at the two upright posts, and a whole safeguard fence system is formed by connecting and inserting the couplers among multiple safeguard fences. The smart safeguard fence has the advantages of high alarming accuracy rate, strong video monitoring pertinence, good safe performance, energy and power saving, and the like.

The invention relates to the field of video monitoring, in particular to a safety helmet identification method integrating HOG human body target detection and an SVM classifier. The method includes the steps that parameter values Sigma of HOG positive and negative sample characteristics, an SVM classification function and a Gaussian kernel function are obtained; a monitoring box is extracted; a moving target is detected; HOG characteristic matching is conducted to judge whether a safety helmet is worn. By means of the safety helmet identification method, whether staff in a construction site wear safety helmets as required can be accurately monitored, the algorithm principle is simple, the real-time performance and a high accuracy rate are achieved, a human body target and a non-human-body target can be effectively distinguished, interference factors in a background are overcome, adaptability to outdoor changing light conditions and changes of colors of the safety helmets is achieved, and high robustness is achieved.

The invention relates to an intelligent early warning and prediction method for a soil slope danger. The method comprises the following steps: 1) a rainfall monitoring station is set in an onsite mode, and a soil penetration meter and a displacement meter are buried; 2) a rainfall condition, soil permeability and displacement data of the slope are acquired in real time and transmitted to a remote client; 3) the data are formatted and processed; 4) the weight size of data such as the rainfall condition, the soil permeability and the slope displacement influencing a slope safety factor is calculated; 5) a safety factor for each time period of the slope is determined; 6) the rainfall condition at each time period, the slope soil permeability factor and a relation among deformation, displacement and the safety factor are calculated, and a soil slope destruction happening time is predicted; 7) hidden destructed slope critical destruction and instability time are acquired, and disaster happening time is predicted; and 8) in combination with results from the sixth step and the seventh step, early warning and prediction are carried out on a slope danger. Compared with the prior art, the method can be used for carrying out soil slope danger early warning and prediction more reasonably, more quantitatively and more practically.

The invention discloses an intelligent confidential article identification management system on the basis of an internet of things. The intelligent confidential article identification management system comprises intelligent identification storage systems and information management systems. Ultrahigh RFID (radiofrequency identification) and biometric identification technologies, computer network technologies and the like are fused in the intelligent identification storage systems, so that storage states and access behavior of confidential articles in intelligent storage cabinets can be effectively identified and monitored, and intelligent and informationized management tools can be provided for management institutions for strictly managing materials in the aspects of intelligent confidential material identification, real-time managed and controlled article information aggregation, real-time confidential article inventory, whole-course liability traceability and the like. The intelligent confidential article identification management system has the advantages that the intelligent confidential article identification management system is based on existing advanced technologies of article perception, sensing and personnel identity authentication, and requirements of article and material information construction and the requirement on updating and upgrading management and control on important materials are considered in a certain aspect, so that the traditional manual management mode of material management and control is transited to a modern information management mode, and informationized, digital and real-time material management and control can be implemented.

The invention discloses a visualization cooperative sharing method for simulation data in network environment, belonging to the technical field of data visualization for simulation data network communication. The method is characterized in that a simulation data visualization processing module is created at the server side to provide users a parameter submission interface and a processing engine, thus realizing visualization processing the simulation data document according to the necessary parameters, and a simulation data cooperative sharing module is created to provide users a public virtual environment, thus realizing a remote simultaneous display; a common browser is used at client side to provide an operating interface and the visualization parameters are sent to the business logic class in the visualization processing module for visual processing through the parameter submission interface and the processing result is cooperative displayed and annotated in an end to end model between client sides and between the client side and the server. The invention fills in the blank of simulation data visualization and cooperative sharing in network environment.