912 results about "Real time data acquisition" patented technology

The invention discloses a threat early warning and monitoring system and method based on big data analysis and a deployment architecture. The system comprises a data acquisition system module, which is used for carrying out real-time data acquisition on original network traffic; a data storage system module, which is used for carrying out data merging and data cleaning on the data collected by the data acquisition system module, and then, carrying out storage management; a real-time threat intelligent analysis system module, which is used for carrying out deep analysis and mining on security data through data mining, text analysis, traffic analysis, full-text search engine and real-time processing, and identifying unknown security threats in real time by combining an intrusion detection module, a network abnormal behavior module and a device abnormal behavior module; and a situation awareness display system module, which is used for carrying out comprehensive display on security threat situations stereoscopically in real time through a data visualization tool library. The threat early warning and monitoring system and method based on big data analysis and the deployment architecture are used for network security threat situation awareness and deep analysis under a plurality of service scenarios, and realize comprehensive abilities from attack early warning, attack identification to analysis and evidence obtaining.

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.

The invention discloses an extensible multichannel parallel real-time data acquisition device and method. The device comprises a PXIe (PCI (Peripheral Component Interconnect) Extensions for Instrumentation Express) backboard, a CPU (Central Processing Unit) board card and a plurality of FPGA (Field-Programmable Gate Array) acquisition cards; the PXIe backboard comprises a CPU motherboard slot, a clock board slot, a plurality of FPGA board card slots and a PCIe (Peripheral Component Interface Express)/PCI switching bridge; the data transmission between the CPU board card and the FPGA acquisition cards is achieved by PCIe switches, and the P2P (Peer-to-Peer) data transmission is carried out among the FPGA acquisition cards; a clock module provides a system differential clock, differential synchronization signals and differential star-shaped triggers through a clock bus and is downwardly compatible with a PXI clock; and the FPGA board card slots realize the compatibility between a PXI and a Compact PCIe board card through a PCI bus and the PCIe/PCI switching bridge. The invention further provides the method based on the device. The device and the method have the advantages of high sampling rate, fast data transmission and easiness for the large-scale extension of a plurality of board cards.

The invention discloses an information management system for on-line production of a printing machine, which is characterized in that a web server and an upper management browser terminal which are mutually connected are arranged in an MES internal Ethernet to be used for realizing on-line remote diagnosis and maintenance; the MES internal Ethernet is respectively connected with an OPC server and an equipment station browser terminal, and the MES internal Ethernet is also connected with an equipment industrial Ethernet of a plurality of printing machine units through the OPC server; an Hub, an HMI, a CPU and a controller are arranged in the equipment industrial Ethernet; the Hub is externally connected with the OPC server; the Hub is respectively connected with the HMI, the CPU and the controller; and the controller is connected with a PLC control system in the printing machine equipment. The invention also discloses a method of on-line control and real-time data acquisition of the control system. The invention realizes the real-time network monitoring, parameter reporting, production management and analytic statistics under the B/S structure in an Ethernet communication mode, and realizes multi-browser and multi-user operation.

A system for filtering and interpreting real-time sensory data from an electrical system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component acquires real-time data output from the electrical system. The power analytics sewer is comprised of a virtual system modeling engine, an analytics engine, and a decision engine. The virtual system modeling engine generates predicted data output for the electrical system. The analytics engine monitors real-lime data output and predicted data output of the electrical system. The decision engine compares the real-time data output against the predicted data output to filter out and interpret indicia of electrical system health and performance. The client terminal is communicatively connected to the power analytics server and configured to display the filtered and interpreted indicia

The invention provides a real-time data collecting and fault positioning system of a power distribution network and a working method thereof. The real-time data collecting and fault positioning system comprises transformer substation voltage collecting units, a plurality of line units, a real-time data server, a background monitoring computer and a handheld terminal, wherein each transformer substation is provided with one transformer substation voltage collecting unit; each transformer substation voltage collecting unit comprises one intelligent voltage detection terminal; each line unit comprises three fault positioning and data collecting sensors and one communication and calculation terminal; the intelligent voltage detection terminal, the communication and calculation terminal and the handheld terminal are in wireless communication with the real-time data server; the three fault positioning and data collecting sensors of the same line unit are in short-distance wireless communication with the communication and calculation terminal. The working method mainly comprises the step of carrying out real-time data collection and fault judgment. The information precision of power transmission line data which is collected in real time is high, short circuit and grounding faults are rapidly and accurately judged, the time of powering off and overhauling is shortened, the quantity of fault line patrolling workers is reduced and manpower and material resources are saved.

The invention discloses a method for controlling on-line prediction of continuous casting blank quality, which belongs to the field of metallurgical automation control. In the method, a comprehensive quality prediction rule based on an expert system, mathematical statistics and a neural network is programmed by secondary control software, and data communication is performed by the secondary control software and a primary basic automatic control system, so that the automatic prediction of casting blank quality in the continuous casting production process is realized; and a quality judgment system overall framework comprises an influence factor real-time data acquisition module, a casting state and casting information tracking module, an abnormal event and casting blank quality prediction module, an off-line simulation system, a quality prediction system database, a primary communication interface module and a system human-machine interface (HMI) picture. The method has the advantage that the on-line automatic prediction of the casting blank quality in the continuous casting production process is realized.

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.

The invention relates to a rules-based intelligent system for grid fault diagnosis, comprising a real-time data acquisition module, a data receiver, a preprocessing module, a working database, a knowledge base, an inference engine and a command generator. The real-time data acquisition module acquires real-time data information of a grid and sends it to the data receiver; the data receiver performs reasonableness testing and encoding; the preprocessing module performs formatting and information fusing and sorting and stores the information in the working database; the working database sends a command to the inference engine; the inference engine sends an inference verification request to the knowledge base; the knowledge base acquires data from the working database and performs data matching on the basis of a grid CIM (common information model) according to knowledge rules in the knowledge base built; the inference engine performs inference analysis according to the data in the working database, system state and knowledge in the knowledge base. The system has the advantages that a self-learning function is achieved, checking and error correcting is facilitated and grid fault diagnosis is more efficient.

A system and method for real-time data acquisition and presentation of force, position, load, pressures, and movement within a subterranean well pumping system, such as an oil well. Data is gathered using sensors attached to a surface level pump drive and wellhead system. Well structural data and well production data are combined therewith to generate a real-time display of down-hole well operation, including animated graphics of the pump operation, including pump movement, rod and tubing stretch, fluid movement, gas compression, system forces, and fluid pressures. Liquid levels are tested using an acoustic liquid level instrument, and incorporated to improve well performance analysis.

The invention relates to a system and method for integrally and intelligently controlling water and fertilizer in a field based on multi-source information fusion. The system comprises a weather forecast inquiry receiving subsystem, a weather real-time data collecting control subsystem, a cloud computing platform, a central control unit, an irrigation and fertilization control subsystem, an irrigation and fertilization state monitoring system and an online fault detection system. The system provided by the invention is an automatic control system integrated with the functions of weather forecast inquiry, crop cloud computing platform inquiry, farmland weather real-time collection, solid fertilizer rapid solution, mother solution real-time monitoring regulation, irrigation and fertilization state monitoring, online fault detection, irrigation and fertilization and remote intelligent control. According to the invention, the factors, such as, weather forecast, cloud computing platform, weather real-time collection and growth vigor of the crops in the growth process can be comprehensively considered, corresponding irrigation and fertilization decisions can be made, and thus precise irrigation and precise fertilization can be accurately realized; and the growth vigor of the crops can be described in real time, and the irrigation and fertilization can be performed according to the growth vigor of the crops.

The invention discloses a vehicle navigation system with the high safety and a guiding method thereof. The vehicle navigation system comprises a real-time data collection unit, a data processing unit, a navigation map storage unit and an output reminding unit; the data processing unit receives real-time data collected by the real-time data collection unit, the real-time data is matched with map data provided by the navigation map storage unit after being processed, and then guiding information is output by the output reminding unit. Accordingly, the driving safety is promoted through sensor recognition results, sensors comprise a high-precision map, a binocular camera and a radar, the characteristics of all the sensors are combined, targeted screening and filtering are conducted, and after the results are integrated, the safety guiding information is output.

The intelligent control system for blast furnace smelting includes the first and the second optimizing stations in the main control room and several operation stations to constitute microcomputer LAN; and server in the iron smeltery connected to various control step terminals to constitute iron smeltery LAN; and the iron smeltery LAN is connected with the main control room LAN to constitute one network system for real-time acquiring and automatic transmitting of process information. The first optimizing station is provided with intelligent control software module and the second with automatic display module. During operation, the intelligent control software module traces the smelting process via real-time data acquisition and operates automatically according to the data from the LAN, and the operation results are output in man-computer dialogue and simple graphic display mode.

The invention discloses a filtration system of a mis-telecommand scheduling end of a transformer substation, which is connected with an supervisory control and data acquisition (SCADA) system and comprises a real-time data acquisition module, a telecommand processing center module, a telecommand display and confirmation module and a history management module, and an expert processing system comprises a signal analyzing and processing knowledge base, a signal analysis module and a human-computer interface. The invention also discloses a filtration method of the mis-telecommand scheduling end of the transformer substation, comprising the following steps: 1. the real-time data acquisition module collects power grid static information and real-time telemetering telecommand data information in the SCADA system; 2. when the expert processing system in telecommand processing center module analysis judges whether the real-time telemetering telecommand data information is a normal telecommand signal or a mis-telecommand signal; and 3. the telecommand display and confirmation module marks the signal which is judged to be in normal telecommand as a normal telecommand signal mark, marks the signal which is judged to be in mis-telecommand as a mis-telecommand signal and filters the mis-telecommand signal. The accuracy rate of the system signal and the power grid scheduling efficiency are improved by using the system and the method.

Methods for acquiring and interpreting operating parameter data during an operation to inject a work fluid into a wellbore.

The invention relates a three-dimensional simulation test device for oil extraction by injecting multielement hot fluid. The device consists of a multielement injection system, a model system, a data acquisition process and control system, and a production system, wherein a model body is fixed in a hyperbaric chamber; and the hyperbaric chamber is connected with the multielement injection system,the data acquisition process and control system, and the production system. As medium can be replaced by separately or simultaneously injecting the multielement hot fluid, and gases are taken as ambient pressure packing medium for the model, the work intensity during the processes of charging and discharging the ambient pressure packing medium is greatly lowered; and as the stimulated reservoir pressure reaches 20 MPa, and the simulated reservoir temperature reaches 350 DEG C, the real-time data acquisition and processing can be realized at the channel temperature of 460 DEG C and under the channel pressure of 50 MPa, and the data acquisition channel can be enlarged. The three-dimensional simulation test device for the oil extraction by injecting the multielement hot fluid has the advantages of fully-automated control of test processes, namely injection, extraction and strata pressure/temperature simulation, online three-dimensional graphic visual analysis and processing of test data,automatic collection of extraction liquid, and oil-water centrifugal separation.

The invention discloses a method and a system for real-time monitoring of group enterprise audit based on real-time data acquisition. The method comprises the following steps: audit result data of an online audit system and account and report data of a financial control system are acquired, processed and transmitted to a controller; the controller controls and processes the two parts of business data acquired in real time to ensure that the business data can be normally written into the database of the real-time monitoring system; and the audit result data stored in the database is monitored in real time and displayed through a client. Business data can be acquired automatically through a data acquisition module, the audit result is reflected in real time, and monitoring early-warning is carried out in real time.

The invention discloses a clustering-analysis-based wind power short-term prediction system and prediction method. The prediction system comprises a short-term prediction server and a real-time data acquisition apparatus; and a power prediction function unit and a prediction database are installed at the short-term prediction server. According to the prediction method, a daily correlation analysis is carried out by using a pearson product moment correlation coefficient to determine consistency of the daily correlation of the wind power and daily similar situation of the available weather information; clustering analysis pretreatment is carried out on historical weather database by using a K mean value clustering method; historical day data similar to a weather feature parameter of a prediction day are selected by using a method using an Euclidean distance as a similarity measure and the data are used as the training samples for neural network prediction model establishment; after training based on the similar samples after clustering, a wind power prediction model based on the cluster analysis is obtained; and the prediction day NWP information is used as input parameter of the model and the wind power is used as the model output, so that prediction power data of the prediction day are obtained.

The invention provides a monitoring method of a photovoltaic power generation system and a system thereof. The method comprises the classified collection, classified storage, service provision and classification application. The classified collection comprises the real-time data collection, periodic data collection and the event data acquisition of equipment in a system. According to the data, the provided service comprises state management, equipment control, exclusive management, alarm recognition, task management and log management. The operated application comprises operation monitoring, remote control, alarm notification, video surveillance, analysis and diagnosis, comprehensive inquiry, statistical reporting and equipment management. According to the monitoring method and the system, the real-time monitoring and control of the main equipment in a solar photovoltaic power station is carried out, the operation of the power station is rapidly grasped through various styles of charts and data, the completely reliable and stable operation of a solar photovoltaic power generation system is ensured through a user-friendly interface, powerful analysis functions and perfect fault alarm, and remote off-site maintenance and multi-people cooperation are facilitated to realize secondary configuration development.

The invention relates to an automatic detecting and fault diagnosing method of an unmanned aerial vehicle based on cloud computing. A cloud computing platform is adopted; and in combination of a virtual instrument labview, a detecting system is endowed with a characteristic of networking, and a networked virtual instrument detecting system is established conveniently so as to realize the real-time data acquisition. Data acquired in real time are uploaded to a data server at a cloud and faults are detected through a fault detection cloud, if the faults are detected, the fault detection cloud is called to realize a remote diagnosis function, and the faults are fed back to a user through a Web interaction interface to be eliminated ultimately. The user can access the network through a terminal to access the system at any time to carry out unmanned aerial vehicle fault elimination. With a strong calculation capability of the cloud computing, the operation efficiency of the conventional detecting equipment is improved; by integrating abundant equipment resource and network resource, the utilization rate of the resource is increased to the maximum extent; and meanwhile, as the cloud computing provides a most reliable and the safest data storage center, the user needs not to worry that the data may lost any longer, and the security of the data is increased; the cloud computing further realize remote file processing and data and application sharing of different equipment; and the cooperation efficiency of teams is increased.

The invention discloses an intelligent network terminal for collecting and encrypting classroom teaching multimedia information in real time and a working method of the intelligent network terminal for collecting and encrypting the classroom teaching multimedia information in real time. The intelligent network terminal comprises a hardware module and a software module, the hardware module of the intelligent network terminal is installed on a single desk, teacher and student mutual information such as image-texts, videos and audios in the classroom teaching process is collected, the collected information is optimized and encrypted through a self-control expansion card, and the information is transmitted to an upper control computer through the WIFI; according to the intelligent network terminal, a command of the upper control computer is received through the WIFI, and image-text, picture, video and audio communication between groups of the terminal is achieved in a classroom; by means of the intelligent network terminal, the classroom teaching quality is improved, real-time data collecting is provided for classroom teaching surveying, basic data are provided for teaching evaluation, the whole device faces classroom teaching, the multiple protective technology is adopted, it is guaranteed that the intelligent network terminal stably operates all the day for a long time, classroom teaching data are accurately collected in real time, and safety transmission and storage are achieved.

The invention relates to an open type intelligent monitoring comprehensive experiment platform in the sugarcane sugar boiling process. The open type intelligent monitoring comprehensive experiment platform consists of a hardware part and a software part, wherein the hardware part comprises a sugar boiling tank body module, an auxiliary work module, a sensor data collecting module and a valve control module, the software part comprises a real-time data collecting assembly, a supersaturation degree soft measuring assembly and a sugar boiling process dynamic parameter optimizing and control regulation assembly, and the hardware part and the software part are connected with each other through a Mod bus and a controller area network (CAN) bus. The platform is used for scientific research, various kinds of monitoring method optimizing research are developed under various actual work conditions in the sugar boiling process, and the practical monitoring technology is provided in the actual sugar boiling process. The experiment platform can also be used as a comprehensive experiment teaching platform for students specialized in measuring control and sugar making, and relative comprehensive and design research teaching method research is developed.