5685 results about "Real time acquisition" patented technology

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 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.

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 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.

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 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 discloses a portable remote real-time monitor with first-aid and locating function in the medical equipment technological domain, which comprises the following parts: inserted main control mode, physiological parameter gathering mode, position locating mode, human-machine interacting mode, wireless communicating mode, electric defibrillation first-aid mode, antenna, battery and small-arms sling, wherein the main control mode coordinates the monitoring information, which is transmitted to the executing remote monitoring center.

The invention discloses a farmland information real-time monitoring system and method based on remote monitoring. The method comprises the following steps: an information collection front end integrates the multiplexed information containing the factors of weather, soil and farmland environment and video image information which are collected instantly, to one-way information and transmits the information to a server side through a wireless transmission device and a transmission network; the server side analyzes and restores the received one-way information to the multiplexed information and the video image information and stores and manages the obtained information; and the analyzed and restored real time information and/or the stored historical information are sent to a client side through the Internet according to the demand of the client side for display, observation and analysis. The system and method of the invention can realize the visual and real-time monitoring of crops, thus providing intuitive and credible reference information and data for agricultural experts, decision makers and managers.

A path planning method for avoiding of traffic hotspots helps to realize an intelligent path planning method with a purpose of the shortest journey time, by dynamical planning of paths with an avoiding property, based on a destination where a driving user goes. The traffic hotspot information, such as large-scale activities, traffic accidents, traffic-peak block roads, school time or commuter time of large-scale units, weather information and the like, are mined continually from a plurality of data sources comprising webpages, microblogs, real-time reported traffic information, historical regularity information and the like. By acquisition of the traffic hotspot information in real time, and combination with influences of a road maximum speed limit, road width and traffic light delay at intersections to driving as well as whether a main road containing a non-motor vehicle zone, a rapid navigation route with an avoiding function is planed, and also a dynamic path planning can be carried out in real time base on a current position. The method helps to provide a fastest path to the destination for drivers and alleviate city traffic jam in certain degree.

The invention discloses an intelligent recognition monitoring system and method for an unmanned substation. Based on a complete IPVS (internet protocol video monitoring system), the monitoring system comprises a front-end video acquisition layer, a video storage layer and a peripheral warning layer, the front-end video acquisition layer performs real-time video monitoring for the substation by the aid of a network camera with an intelligent recognition function and transmits monitoring data to a monitoring center through a network transmission layer, the video storage layer includes substation information on-site scatter storage and monitoring center concentrated storage, the peripheral warning layer acquires environmental information through an infrared/microwave sensor, a vibration detection device and a temperature and humidity acquisition device in real time, and the monitoring center receives abnormal information transmitted by the front-end video acquisition layer, further judges the information, sieves local alarms caused by normal operation and remotely gives an alarm when abnormity really exists. An intelligent recognition module adopts different recognition algorithms for different monitoring objects, the running state of a target device and the running environment of the substation can be rapidly analyzed, and unattended operation of the substation is truly realized.

The invention provides an energy consumption integrated control system and a method, which is used for energy conservation and measurement control in occasions such as a base station, a motor room, an office building and the like. The method is implemented as follows: collecting energy consumption subentry measurement data; collecting multiple environment parameters relevant to energy consumption equipment; collecting and storing the collected energy consumption subentry measurement data and the collected relevant multiple environment parameters; receiving, outputting and displaying energy conservation data of the energy consumption equipment obtained by comparing the energy consumption subentry measurement data in real time and receiving a control strategy obtained by analyzing and comparing the relevant multiple environment parameters; and sending a control command based on the control strategy to control the relevant energy consumption equipment to regulate relevant parameters so as to realize the aim of energy conservation. The energy consumption integrated control system comprises an intelligent ammeter, multiple sensors, a data collector, an analyzer, a controller, a controlled device and a display. By collecting environment parameters, analyzing the existing energy consumption systems and energy conservation effects brought by various energy conservation measures and equipment in real time, the energy conservation input-output ratio can be reflected clearly; and the energy conservation measures are regulated based on environment changes, thus realizing intelligent interaction of energy conservation equipment.

The invention discloses an early warning method of stable-state index of power quality. The method is realized by support from a power quality online monitoring device and a computer. The method is characterized by comprising the following steps of: (1) selecting power quality indexes in advance, including voltage deviation, voltage total harmonic wave, short time flicking, etc, and setting earlywarning threshold values at four grades; (2) acquiring power quality data in real time, and analyzing each power quality index to carry out early warning grading; and (3) saving the values calculatedand a final early warning grade into a database. The early warning method of stable-state index of power quality establishes an early warning structure with two types, including index standard-exceeding type and index abnormal type, and four grades, and adopts time sequence mining algorithm based on high-order statistics in abnormal mining link to analyze potential abnormity of power quality datawith skewness and peakedness. Practice proves that the early warning method is clear in hierarchy, high in algorithm efficiency, strong in accuracy and good in operability. The early warning method is high-efficient and comprehensive.

The invention discloses an intelligent personnel counting system based on the video frequency, and the processing method thereof. The intelligent person counting system comprises an image acquisition module used for monitoring an appointed region, and a personnel number estimating module, the personnel number estimating module processes an image obtained from the image acquisition module and comprises four modules of a background estimating module, a personnel number estimating module based on the detection of a foreground block, a personnel number estimating module based on the head part detection, and an integrated detection result module. The setting of the four modules is realized through a general-purpose computer, and the four modules are used for gathering a video image in the appointed region in real time and combining with the personnel number estimating way based on the detection of a foreground block and the personnel number estimating module based on the head part detection to calculate the personnel number in the appointed region. By adopting a photographing device and a calculating processing device, the system and the method of the invention can automatically realize the statistics and the calculation to the personnel number in the appointed region, and the monitoring to the personnel number in the appointed region.

The invention relates to a psychological assessment method based on a virtual reality technology. Virtual scenarizing processing is carried out on a psychological scale; answers, behaviors, and physiological data of a subject are collected in real time; on the basis of the answer options of the subject, intelligent jumping of problems of the psychological scale is completed; the scale content is analyzed comprehensively and intelligently, three kinds of data are trained by a convolution neural network and a recurrent neural network and then feature fusion is carried out, the processed information is inputted into a softmax layer to obtain a psychological assessment model; with the psychological assessment model, the psychological assessment result of the subject is compared with a doctor tag, loss function calculation and gradient reversed conduction are carried out to correct the answer options of the subject intelligent; and then the psychological, behavior and the corrected answer data are calculated by the psychological assessment model to obtain a final assessment result. According to the invention, on the basis of combination of VR, intelligent sensing, big data analysis, artificial intelligence and other technologies with the traditional psychological assessment method, the accuracy of psychological assessment is improved and the medical resources are saved effectively.

The present invention relates to a method of the 3D track simulation for a miniature aircraft under urban surroundings and belongs to the field of the 3D real-time route navigation technology for a miniature aircraft. The following modules are set in a computer: a map digitalized module, which digitalizes the 3D model of urban surroundings including threat points, buildings, the departure and target points of a miniature aircraft that is inputted by the graphical user interface (GUI), map parameters and the coordinate of a candidate navigation point composed of the 3D model of urban surroundings and the map parameters; a flight path programming module, which inputs the data from the map digitalized module, calculates the overall route index that takes the flight resource consumption rate and the survival rate into consideration, figures out the most feasible route using network optimizing algorithm under the condition of taking barriers into consideration, and then smooths the bevel at turnings and generates a realtime flight orbit; a data-collecting module, which collects the coordinate values of the aircraft positions and postures outputted by the flight path programming module and forms a posture coordinate value including orthogonal coordinate variables X, Y and Z, a pitch angle h, a yawing angle p and a roll angle r. The present invention saves flight resources and improves flights simultaneously.

The invention discloses a multi-terminal flexible DC grid DC line quick protection method and system based on single-terminal voltage. The method comprises the following steps: collecting the voltagesignals on the two sides of DC positive and negative line current limiting reactors in real time; forming a low voltage starting criterion; performing wavelet transform on the calculated line mode voltage on the current limiting reactors and calculating the wavelet transform modulus maximum; performing the data validity test and recording the size and the symbol of the first wavelet transform modulus maximum meeting the data validity condition; establishing the fault identification criterion to identify the fault based on the symbol and amplitude difference of the single-terminal voltage traveling wave wavelet transform modulus maximum; and constructing the fault pole identification criterion to identify the fault pole based on the size difference of the voltage traveling wave transient energy. According to the line protection method, the fault direction can be reliably and quickly identified under various initial fault conditions, and the transition resistance, the fault location andthe fault of the AC system and other factors have little influence on the protection criterion so as to have high reliability and sensitivity.

The invention discloses an optimal control method for intersection group traffic flow, which resolves the defect that the smallest unit of current urban traffic control is a single intersection, which cannot satisfy the needs of actual traffic control, can realize the optimization of local traffic flow, and provides helps for micro control of traffic flow. The steps of the method are:(1) real time acquiring actual traffic flow of ''intersection group'' on roads through a ground induction coil which has been paved in a city; (2) constructing an optimal control model with a smart approach and inferring and optimizing the parameters of a controller according to real-time traffic information;(3) the controller carrying out optimal control for traffic flow according to the control model.

The present invention discloses an outdoor construction method based on a UAV photography technology and a BIM technology. The method comprises the following steps: 1) acquiring UAV field data; 2) performing data processing by using corresponding software; 3) establishing a BIM information model; 4) by applying a BIM technology, performing sloping according to different sites and designs; and 5) designing a BIM site model. The method disclosed by the present invention has the following advantages: manpower cost and time cost of measurement are greatly reduced; on-site terrain data is acquired in real time, which is convenient and quick; by combining BIM, on-site construction is provided with a visualized three-dimensional model and precise data at each stage, such as excavation volume reports, construction drawings and spatial information, so as to ensure implementation of project quality.

The invention discloses a visual locating system of spherical robot and a visual locating method thereof. The visual locating system is composed of a binocular visual system, a one-dimensional gyroscope, a spherical robot body, a core control system and a wireless communication module. The locating system carries out locating through cooperation of a camera and the gyroscope, and a locating algorithm is realized on line in the core control system. Data for locating are subjected to remote transmission through the wireless communication module. And a use can realize remote real time monitoring of a robot position. The locating method comprises: conducting real-time acquisition of left and right image sequences by a binocular camera, calculating the posture and location changes of the spherical robot by a binocular visual mileage calculation method, compensating a feature locating error caused by an unstable spherical robot platform through the gyroscope, and finally performing state updating by a Kalman filtering method. The whole process iterates continuously so as to realize real time calculation of the posture and location of a robot.

The invention discloses a conversation voice monitoring method and system. The method comprises: collecting voice data of conversion of a server side and a client in real time; carrying out voice identification on the voice data of the service side and the client to obtain a server side identification text and a client identification text; and according to the conversation voice data of the server side and the corresponding identification text as well as the conversation voice data of the client and the corresponding identification text, carrying out real-time monitoring on the conversation voice of the server side. With the method and system, comprehensive and real-time monitoring of conversation voices of the customer service staff can be realized; and the service quality of the customer service staff is improved.

A real-time data acquisition and storage network for real-time acquisition and storage of analog and digital data from one or multiple network-connected data sources to one or multiple network-connected storage devices during a data recording session, and precise reconstruction of the acquired data from one or multiple of the network-connected storage devices during a playback session. The data source are connected to the network through one or multiple real-time data acquisition network (“R-T DAN”) modules which form one or multiple network-connected data acquisition nodes on the network. Each storage device forms a network-connected storage node on the network so that data acquired at any data acquisition node may be applied to the network and stored at any storage node during a data recording session. The stored data may be retrieved from the storage nodes through the network and routed to the data acquisition nodes for reconstruction of the data during a playback session.