11601 results about "Real time acquisition" patented technology

The invention discloses a human-computer interaction method and a device based on vision follow-up and gesture identification. The method comprises the following steps of: facial area detection, hand area detection, eye location, fingertip location, screen location and gesture identification. A straight line is determined between an eye and a fingertip; the position where the straight line intersects with the screen is transformed into the logic coordinate of the mouse on the screen, and simultaneously the clicking operation of the mouse is simulated by judging the pressing action of the finger. The device comprises an image collection module, an image processing module and a wireless transmission module. First, the image of a user is collected at real time by a camera and then analyzed and processed by using an image processing algorithm to transform positions the user points to the screen and gesture changes into logic coordinates and control orders of the computer on the screen; and then the processing results are transmitted to the computer through the wireless transmission module. The invention provides a natural, intuitive and simple human-computer interaction method, which can realize remote operation of computers.

In a multi-tier patient monitoring data analysis system, an algorithm server is positioned as a middle tier between an acquisition device, such as a cardiograph or patient monitor that can be seen as a lower tier, and a storage device for a database, such as that of a central computer for a hospital or clinic that can be seen as an upper tier. The algorithm server gathers current data from the real time acquisition device and obtains previously stored ECG signal data from the database. The algorithm server contains ECG analysis algorithm(s) and runs one or more algorithms using the current and previously acquired ECG signal data. Analysis algorithms may also be run on the acquisition device. The system provides the rapid, extensive, and thorough ECG analysis that is critical to patient welfare.

The invention relates to a safety monitoring early warning and safety management system of oil and gas extraction and gathering operations as well as a method thereof, belonging to the technique field of safety production monitoring and supervision, and the system is composed of a monitoring center arranged at an oil and gas extraction safety monitoring and management department and a plurality of on-site monitoring terminals disposed at all oil and gas extraction operation areas. The method comprises: collecting and transmitting safety-related parameter signals, video signals and audio signals in real time; implementing the analog-digital conversion or signal conversion and compression coding to the signals; then transmitting the signals to all hosts of the monitoring center; processing and analyzing the received three types of signal information by all the hosts and then carrying out the parameter monitoring, video monitoring and audio communication respectively; and outputting the processed three types of information to the spot for being controlled correspondingly. The invention can realize the risk assessment, dynamic intelligent monitoring, safety state analysis, accident early warning and alarming, safety guarantee control and safety management of the whole process of operations ranging from oil and gas extraction, heating, separation processing, storage to transportation for oil and gas production enterprises.

The invention discloses a lane line detection and GIS map information development-based vision navigation method. The method comprises the following steps: acquiring GIS map information, preprocessing, carrying out real-time image acquisition and lane line detection to generate a GIS local map in real-time, carrying out coupling verification on a track line detection result and the GIS local map through an ICP algorithm, and generating a high-credibility track line result according to the coupling result. The method can realize the credibility evaluation of the lane line detection through a geographic information system, corrects when false detection or missing inspection appears, expands the application range of the lane detection algorithm, and also can improve the map positioning precision through visual perception information, so the performances of a vision navigation system in a whole intelligent driving and aided driving system are improved, thereby the system can adapt to more complex environments.

The invention relates to a vision navigation method of a mobile robot based on a hand-drawing map and path. The method comprises the following steps of: firstly, extracting a key leading point in an operation path according to a principle of less bias and dividing an original path into a plurality of segments; then, matching corresponding reference images in a pre-drawn environmental map and information collected in real time by a robot camera in various operation processes to estimate an image most possibly existing in the current field of view; detecting the characteristics of the image by utilizing a SURF (Selective Ultraviolet Radiation Fractionation) algorithm and rapidly solving matching points by relying on a KD-TREE (K-Dimension Tree) method; solving a projection conversion matrix of the reference image and a real-time image by adopting an RANSAC (Random Sample Consensus) algorithm, further acquiring the position of the reference image in the real-time image and merging milemeter data to acquire the reference position of the robot; and finally, calculating the operation direction of the next segment according to the acquired reference position of the robot until the robot moves to the last reference point. The robot can run to an appointed region without the needs of accurate environmental map and accurate operation path and dodge a dynamic obstacle.

A novel wearable electronic skin patch sensor device configured for the real time acquisition, processing and communicating of cardiac activity and other types of biological information within a wired or wireless network is disclosed. A system level scheme for networking the sensor device with client devices that include intelligent personal health management appliances, cellular telephones, PDAs, portable computers, personal computers, RFID Tags and servers is disclosed. The sensor device and the system enable distributed processing, archival and correlation of the biological information with biometrics, gastronomic information, user profiles and health factors that include height, weight, blood pressure and physical activity facilitating real time personal health management at any time and any place.

The invention discloses an intelligent water resource control platform based on cloud computing and an expert system. The platform comprises a site measurement and control station, an internet of things data transmission system and a cloud computing service platform, and is characterized in that the control platform carries out automatic real-time collection on water resource information of a water supply water source, underground water, a water intake, a boundary control fracture surface and a sewage draining exit and site equipment operating condition information through the site measurement and control station, and real-time data preprocessing is achieved by means of an additionally installed site intelligent controller; internet of things data transmission equipment is adopted in the internet of things data transmission system to sent data of the measurement and control station to the cloud computing platform, and data support is provided for water resource management and advanced applications; the cloud computing service platform achieves real-time monitoring on water resources, monitoring on operating condition and remote on-line maintenance on site monitoring equipment and applications on water resource service, and a water resource decision is utilized to support the expert system to achieve assessment, early warning and emergency commanding of the water resources. The cloud computing and the Internet of things technology are applied to the platform, so measurement and control data are timely and efficiently processed, the intelligent computing technology is applied so that intelligent assessment and early warning of the water resources can be achieved, and safety of the water resources is guaranteed to a great extent.

The invention relates to the technical field of traffic-information processing and particularly relates to a highway-driving-information vehicle-mounted terminal, monitoring system and method, wherein the highway-driving-information vehicle-mounted terminal includes a location module, a wireless communication module and a binding module. The binding module is used for inputting identity information of a vehicle at an entrance of a highway and binding the identity information of the vehicle with an ID of the vehicle-mounted terminal in a one-to-one way. The location module is used for acquiring driving information of the vehicle in a real-time manner. The wireless communication module is used for sending the acquired driving information in a real-time manner. The highway-driving-information vehicle-mounted terminal, monitoring system and method enable the acquired driving information to be sent in time whether in a monitoring scope of the prior monitoring devices or not so that data is more comprehensive.

The invention relates to an intelligent monitoring system for a boiler and a heat exchange station and a method thereof, which belong to the technical fields of production monitoring and security management. The system comprises a main system in a central control room, a plurality of boiler monitoring subsystems which are respectively connected with the main system in the central control room and a plurality of heat exchange station monitoring subsystems. The method comprises the following steps: parameters and video signals on site are collected and transmitted in real time and transmitted to a host machine in the central control room after being converted and compressed; the host machine carries out comprehensive processes of intelligent analysis, dynamic display, prewarning and warning and management for the received signals and transmit control commands to the monitoring subsystems to carry out control; and the monitoring subsystems can be cooperated with the central room to carry out monitoring or independently carries out monitoring to realize automatic control. The invention can realize real-time and dynamic intelligent control, prewarning and warning, security management and automatic monitoring for a large boiler or a boiler group and a heating network system and has the advantages of energy saving, consumption reduction, comprehensive analysis, safety, stability and economic operation.

This invention relates to an energy-saving central air conditioning system, which comprises cold and hot water source host, terminal device and the control system to adjust and monitor. The said control system processes according to the large amount of data collected to get the needed optimized status operation orders. It real-time adjusts the each part load of the system into cold storage or cold discharging modes and the said host works under the mode of cold storage and stops working in cold discharging mode.

The invention discloses an accurate public traffic positioning method based on standard line matching, which pertains to the filed of dynamic public traffic information collection and is applied to dynamic information release and dynamic scheduling. The traditional method adopts the method of difference, inertial navigation or adding road test equipment to improve the positioning precision, and the equipment cost is increased due to the adding of additional hardware modules. According to the deviation or loss rule of the urban public traffic vehicle-bone GPS collected data, by being combined with the public traffic operation characters and on the basis of not increasing the equipment cost, the invention effectively improves the accuracy of the GPS positioning by being matched with the GIS public traffic line map data with the shape points of high density. The method firstly generates the GIS public traffic line map data with the shape points of high density and accurate stop positions so that the map data is taken as a reference to be used as the foundation for correcting the deviation and filling up the lost data, and matches the real-time collected data with the map data to obtain the precise position information, thus meeting the requirement of public traffic positioning. The method can also be applied to the problem of correcting other positioning information with fixed lines.

The invention provides a method for detecting website threat based on a real-time log. The method comprises the steps of acquiring log data of a website log server on real time; transforming the log data and distributing on real time; processing and detecting the log data on real time; displaying the website threat detection result on real time; early warning the severity of the detection result on real time. The invention further provides a system for detecting the website threat based on the real-time log. The system comprises a log data real-time acquiring unit, a log data real-time transformation and distribution unit, a log data real-time processing and detecting unit and a log data real-time monitoring unit. With the adoption of the method and system, the processing capacity and timeliness of the log data can be improved; the timeliness of website threat detection and reaction can be improved; the website operation risk can be reduced; the information security of the website can be greatly ensured.

The invention discloses vehicle-mounted fault diagnosis system and method for a hybrid electric vehicle based on CANopen, belonging to the field of vehicle fault diagnosis. The vehicle-mounted fault diagnosis system for the hybrid electric vehicle based on CANopen comprises a fault diagnosis interface, an information acquisition module, a storage module, a liquid crystal display module, an audio alarm module, a touch screen and keyboard module, a main control module and a power source module. When a fault occurs, the diagnosis system as a CANopen master station utilizes an emergency message to trigger a SDO (Service Data Object) to read the fault diagnosis information of an object dictionary item corresponding to the fault, analyzes the fault information and stores the fault information in a fault information management unit; meanwhile, the fault information is displayed in a fault diagnosis interface. The invention completes the real-time acquisition and display of the fault information and vehicle real-time data and the effective management of the fault information.

Relating to the technical field of intelligent traffic, the invention provides a real-time path planning method and system. The method includes: when a current client drives according to an initial path, collecting the destinations, sampling locations and sampling time of other clients in real time; planning the navigation paths of the other clients according to the destinations, sampling locations and sampling time respectively, and extracting all sections containing the initial path and target sections of relevant sections associated with all the sections from the navigation paths respectively; and carrying out statistical analysis on the target sections and the sampling locations and sampling time of the other clients, and forecasting the traffic information of each section in the initial path in a future period of time. The method and system provided by the invention have the characteristics of wide data range and even sample, improve the accuracy of the path planning result, especially for traffic variation without obvious regularity, and improve the accuracy of path planning.

The invention relates to fireworks and crackers producing, storing, transporting process dynamic monitoring system and method. The method is formed by supervising and monitoring center systems. It includes that real time collecting and dynamically displaying safe parameter and video information for the firework and crackers production field, band and transportation vehicle; dynamically display the safe parameter, position information, speed information for the transportation vehicle; classing early-warning, warning, processing for the safe parameter; statistical analysis for corporation safety condition; searching corporation monitoring information and warning processing; when the transportation happens accident, the monitoring server will start corresponding emergency beforehand. The invention can prevent large malignancy accident from happening in firework and crackers producing, storing, and transporting to protect people life and property better.

The invention discloses a method and device for measuring the mixing electric vehicle running ability parameter. The method uses the controller to do real-time collecting during the running course of the mixing electric vehicle, stores the relative parameters of the running course by the storage medium, and uses MATLAB software to impact the collected parameter into each capacity corresponding curve and then uses the curve to overall merit the vehicle capacity index. The device comprises an embedded CAN controller, an A / D transfer module, an I / O module CPU, a serial port communicating module, a LIN bus module, a RTC real-time clock module, a USB module and a CPLD module.

The present invention provides a method of generating augmented reality surroundings illumination model by a spherical panoramic camera real time, including: (1) placing the spherical panoramic camera in the augmented reality surroundings, placing in the viewport of the virtual worlds, real-time collecting panoramic picture; (2) processing the texture map having optical property aimed at the real world object after being collected panoramic picture of the step 1; (3) calculating collected panoramagram light intensity value aimed at the virtual world object after being collected the panoramic picture of the step 1, processing illumination model pattern matching, generating virtual world illumination model by the calculation; (4) calculating the illumination model of the augmented reality site under the condition of interactive local impact of the consideration reconstruction model and the virtual object model. The invention real-time generates illumination model in the complex photoenvironment, having advantage of support augmented reality site real time interactive.

The invention provides a real-time video field fire smoke detection method based on a convolutional neural network. A smoke image data set is collected through an experimental simulation mode, and a training set, a test set and a verification set are created; the training set, the test set and the verification set are subjected to automatic annotation, and in combination of manual adjustment, thetraining set, the test set and the verification set with a real label are obtained respectively; the training set and the verification set with the real label are subjected to image rotation processing, color channel color addition and subtraction processing and scaling processing to obtain the processed training set and the processed verification set with the real label; the parameters of the convolutional neural network are initialized, and according to the training set with the real label after scaling processing, a well-built convolutional neural network model is trained; a to-be-detectedfield monitoring image is acquired in real time, and through the trained convolutional neural network model, a smoke target detection frame is predicted and optimized; and inter-frame confidence enhancement and relocation are carried out on the target detection result given by the trained convolutional neural network model.

The invention relates to a human body skeleton-based action recognition method. The method is characterized by comprising the following basic steps that: step 1, a continuous skeleton data frame sequence of a person who is executing target actions is obtained from a somatosensory device; step 2, main joint point data which can characterize the actions are screened out from the skeleton data; step 3, action feature values are extracted from the main joint point data and are calculated, and a feature vector sequence of the actions is constructed; step 4, the feature vectors are preprocessed; step 4, the feature vector sequence of an action sample set is saved as an action sample template library; step 6, actions are acquired in real time, the distance value of the feature vector sequence of the actions and the feature vector sequence of all action samples in the template library is calculated by using a dynamic time warping algorithm; and step 7, the actions are classified and recognized. The method of the invention has the advantages of high real-time performance, high robustness, high accuracy and simple and reliable implementation, and is suitable for a real-time action recognition system.

This invention relates to one gas wheel motor rotor coil shortcut online test method in the test technique field, which comprises the following steps: through online real time collecting motor electrical parameter data and according to one certain work situation motor electrical parameter data to compute normal current theory values by reverse rotor normal current; then computing excitation magnetic current real value and theory value relative bias; the bias difference is as generation motor set to judge whether there is coil short cut fault as dialogue of the shortcut fault.

The invention provides a remote service device, a system and a method of intelligent equipment, and the method comprises that a cloud terminal communication server acquires operation state information of the intelligent equipment; a data processing server collects the operation state information in real time, determines a working state of the intelligent equipment according to the operation state information, and triggers a remote diagnosis service signal corresponding to an abnormal state when the abnormal state of the intelligent equipment is determined; a service processing server carries out remote diagnosis to the intelligent equipment according to the remote diagnosis service signal, uploads a diagnosis result to a display interface and triggers a fault repair service corresponding to the diagnosis result; and a dispatching management server dispatches corresponding management resources according to the demand for the fault repair service in order to realize fault repair. The remote service device, the system and the method of the intelligent equipment can diagnose and maintain faults of the intelligent equipment, realize rapid networking, the fault diagnosis and remote services of the intelligent equipment, increase after-sales serving efficiency of the intelligent equipment with the faults and provide better experience to users.

The embodiment of the invention discloses an automatic identification system and method for commodities based on image feature matching, which are used in the field of information systems and are used for overcoming the defect of the traditional bar code process for commodity feature identification in a commodity sales system so as to provide an accurate real-time commodity feature identification scheme. The system comprises an image processing unit and a commodity information system, wherein the image processing unit is used for collecting the image data of the current commodity in real time and processing the image data of the current commodity to extract image feature information; the commodity information system is used for storing the image feature information of the commodity, and looking up and matching the image feature of the current commodity according to the image feature information of the commodity, which is collected in real time, and the current commodity is identified. In the automatic identification system, the image processing unit is used for collecting commodity images, processing and communicating, the commodity price is synchronously identified by the image identification process, and thus the automatic identification system has the advantages of high identification speed, high precision and favorable popularization and application values.

The invention discloses a monitoring system and device based on human face large data. The system is composed of a front-end real-time acquisition system and a human face monitoring center management system. The front-end real-time acquisition system distributively collects a human face video or a high-definition human face image and individual basic information, and carries out uploading to a human face comparison server. The human face comparison server establishes a local human face data management system for uploaded human face data, and periodically carries out data synchronization with the human face monitoring center management system to synchronize added human face data to a central database. The central database uses a simple and efficient human face matching algorithm, or merges and classifies human face data based on a unique identification code. Based on the classified human face large data, data analysis, blacklist large-scale early warning and other functions are carried out. The system provided by the invention effectively solves the problem that current urban human face monitoring systems are independent of each other, have separated data, and are not conducive to the construction of an accurate criminal suspect tracking system.

The invention discloses a real-time monitoring method for the energy consumption of a public building based on data mining, belonging to the technical field of building energy saving. The method disclosed by the invention comprises the following steps: S1. establishing a building energy consumption mode judgment tree; S2. collecting building energy consumption data in real time; and S3. judging whether the current building energy consumption data are energy consumption abnormal points or not, carrying out the mode matching on the current building energy consumption data and the building energy consumption mode judgment tree and judging whether the current building energy consumption data are isolated points or not. In the method disclosed by the invention, the specific energy consumption mode of the building is identified by carrying out the cluster analysis on the historical energy consumption data; the building energy consumption mode judgment tree is obtained by classifying the data; the mode matching is carried out on the energy consumption data which are dynamically collected in the real-time monitoring course for the energy consumption of the building; and the isolated point analysis is carried out on the energy consumption data and the historical data which have the same mode, thereby judging whether the current building energy consumption data are abnormal or not. The method disclosed by the invention has the characteristics of good real-time characteristic, generality and robustness.

The invention discloses unmanned plane equipment for detecting a gas pollution source. The unmanned plane equipment comprises a ground monitoring module used for performing real-time acquisition of gas pollution concentration, position, wind direction, and wind speed and early warning of a monitoring point; a ground control module used for determining an initial flight parameter of an unmanned plane module and receiving real-time monitoring data of the unmanned plane module; the unmanned plane module is used for adaptively controlling detection of a flight path in a to-be-measured pollution area, and positioning a pollution source collecting the data; and a wireless transmission system used for realizing data transmission among the ground monitoring module, the ground control module, and the unmanned plane module. The unmanned plane equipment can timely find the diffusion of polluted gas, performs primary detection on direction of the pollution source according to a gaussian plume model theory of gas diffusion, and accurately locks the pollution source through accurate positioning; the concrete condition of the discharge position of the gas pollution source can be checked through an aerial device, and a complete intelligent monitoring process is formed, so that the pollution source can be timely found by the relative staff.

The invention discloses a data concentrator acquisition control method based on MQTT (Message Queuing Telemetry Transport), a data concentrator acquisition control device based on MQTT and a data concentrator acquisition control system based on MQTT. The method comprises the following steps of connecting an MQTT server; performing theme subscription according to predefined parameters; and forwarding commands by virtue of the MQTT server, thereby further realizing acquisition and remote control. The device comprises a server connection unit, a theme subscription unit and an instruction execution unit. The system comprises the MQTT server, a sensor, an actuator, a concentrator, a data acquisition client and a remote acquisition client. By virtue f the MQTT protocol and the theme subscription mechanism, various communication demands among terminals are realized, real-time acquisition and remote control of the data concentrator can be realized conveniently, and the problem of inadequate IP (Internet Protocol) address resources in common network communication is effectively solved. By virtue of an MQTT frame, the system structure complexity can be effectively reduced, the expandability, stability and real-time property of the system are enhanced, the bandwidth is saved, and the expenditure is reduced. The method, the device and the system can be widely applied to the internet of things.

The invention discloses a resource scheduling method under a Hadoop-based multi-job environment, which includes: (1) collecting the three-party monitoring information of cluster loads, a Hadoop platform and hardware in real time; (2) collecting the job execution monitoring information of a user on each computing node of a cluster in real time; (3) gathering the three-party monitoring data of the cluster, modeling to evaluate the computing capabilities of the nodes, and dividing the nodes of the cluster into superior computing nodes and inferior computing nodes; (4) if the nodes are the superior computing nodes, then starting a job task resource demand allocation policy based on similarity evaluation; (5) if the nodes are the inferior computing nodes, then returning to a default resource demand allocation policy of the Yarn. The resource scheduling method under the Hadoop-based multi-job environment solves the problem of resource fragments caused by oversize job resource demand division granularity in conventional resource schedulers of the Yarn, can comprehensively take the heterogeneity of cluster nodes and jobs into consideration, and increases the execution concurrency of the cluster by reasonably and effectively allocating the node resources, thus increasing the execution efficiency of the multiple jobs of the Hadoop cluster.

The invention relates to a system and a method for intelligently monitoring and managing the logistics of dangerous articles on the basis of radio frequency identification in the technical field of logistics monitor. The invention comprising the steps of installing a system for monitoring the state of dangerous article packing box within the dangerous article packing box, collecting in real time the physical state of the dangerous articles and writing onto a RFID label outside a container; using a dangerous article vehicle monitoring system, each monitoring station and checking stations on the way to read and write in real time the information of the RFID label in the entire process of logistics, and dynamically exchanging for dangerous article logistics information, state information, safety information and vehicle driving state information with a dangerous article logistics integrated monitor and management platform; adopting the dangerous article logistics integrated monitor and management platform to realize the integrated monitor and management in the process of logistics and to provide the real-time inquiry for the remote users, which forms the intelligent monitor of the dangerous article logistics with the functions of article multilevel real time monitor, synchronous in-time alarm, malfunction automatic treatment and unified logic distribution, thus integrally accomplishing the distribution multilevel monitor, process real-time follow, automatic error processing and remote real-time inquiry in the process of dangerous article logistics.

The invention discloses a visual production management and control method for a discrete workshop. The method comprises the following steps of: establishing an association relationship between an RFID tag which is taken as a carrier for data acquisition of a workshop and a process flow card; acquiring information of the tag when the RFID tag passes through a working position; displaying the information of the process flow card associated to the tag on an electronic billboard; reading the RFID tag and filling quality information by using a handset at a quality testing working position; processing acquired information to form production schedule information and the quality information of the workshop; and displaying the production schedule information and the quality information on a working position billboard and a workshop billboard by using a billboard display management system. The method adopts a device which comprises an RFID initializing module, an RFID-based data acquisition module, an RFID data analyzing and processing module and a billboard display management module. By using the method, logistics and quality data in a production process can be acquired and transmitted in real time, paperless and visual production management of a discrete manufacturing workshop is realized, the information of logistics, quality and the like is effectively monitored, and the workshop management level of an enterprise is improved.

The invention relates to an automatic target tracking method and system by combining multi-characteristic matching and particle filtering. The target tracking system provided by the invention comprises a video acquisition module, a tracking algorithm computation module and an output control module, wherein the video acquisition module finishes the initialization of an acquisition card and the real-time acquisition of images; the tracking algorithm computation module comprises three tracking modes: the particle filtering tracking based on gray template region matching, the particle filtering tracking based on color probability distribution and the particle filtering tracking based on SIFT (scale invariant feature transform) characteristic matching, thereby realizing the target tracking of translation space and affine space; and the output control module utilizes the center of the target position obtained by tracking as a control command which is transmitted to a cloud deck, thereby realizing the motion of a camera along with a target object.