1139 results about "Real-time database" patented technology

A system 1000, and its alternates 1002 through 1022, for automatically tracking and videoing the movements of multiple participants and objects during an event. System 1000 and its alternates comprise a scalable area tracking matrix of overhead tracking cameras 120c, whose individual field-of-views 120v combine to form a contiguous view 504m of the performance area where the event is being held. As participants 110, and all other necessary objects such as 103 (e.g. a puck in ice-hockey) and 104 (e.g. a stick in ice-hockey) move about during the event, computer 160 analyzes the images from contiguous view 504m to create a real-time tracking database at least including participant and object centroid locations respective to the performance area, and preferably including their identities matched to these ongoing locations. System 1000 and its alternates then employ the real-time database to automatically direct, without operator intervention, one or more side-view cameras such as 140-a, 140-b, 140-c and 140-d, to maintain optimal viewing of the event. The participants and objects may additionally be marked with encoded or non-encoded, visible or non-visible markers, either denoting centroid locations visible from their upper surfaces, and/or non-centroid locations visible from perspective views. The encoded markers are preferably placed on upper surfaces and detectable by computer 160 as it analyzes the images from contiguous overhead field-of-view 504m, thus providing participant and object identities to correspond with ongoing locations, further enhancing algorithms for subsequently controlling side-view cameras 140-a through 140-d. The non-encoded markers are preferably placed on multiple non-centroid locations at least on the participants that are then adjustably viewable by system 1000 and its alternates as the system uses the determined locations of each participant from the overhead view to automatically adjust one or more side-view cameras to tightly follow the participant. The resulting images from side-view cameras 140-a through 140-d may then be subsequently processed to determine the non-encoded marker locations, thus forming a three dimensional model of each participant and objects movements.

During a sporting or similar event, participants and objects are automatically tracked using a scalable matrix of fixed, non-adjustable overhead cameras that form a view of the entire performance area. The participants and objects are identified with attached visible or non-visible markers that are detected using image analysis. A real-time database of two-dimensional movement locations is created from the resulting information, which is then used to automatically direct multiple fixed, adjustable side-view cameras for capturing and recording the event. Image analysis of this side-view video detects additional markers providing a three-dimensional model of the participants and objects.

The invention relates to a circuit device used for providing distant indication for conditions of a distribution network and carrying out distant control on a switching device in the distribution network, in particular to an integrated monitoring system information platform for a transformer substation. The integrated monitoring system information platform comprises an integrated information platform body and a station level advanced application module. The integrated information platform body comprises an application-independent graphic base system, a real-time database based on the unified modeling technology, a data normalization module, a data verification module, a data service module, a file service module and a historical library storage service module. The station level advanced application module comprises a graphic, model and library integrated module, a source side maintenance module, a primary equipment status visualization module and a one-button sequential control module. According to the integrated monitoring system information platform, by arranging and integrating functions of various subsystems and carrying out data structure reconstitution on the unified platform, the use ratio and interactivity of data are improved, the reliability, integration and maintainability of the system are improved, and new functional subsystems can have access to the transformer substation conveniently.

The invention discloses a three-dimensional emergency drilling virtual system and a construction method and a use method thereof, and belongs to the technical field of computers. The three-dimensional emergency drilling virtual system comprises a rescue equipment module, a drilling communication module, a drilling evaluation module and a process playback module. The three-dimensional emergency drilling virtual system also comprises a scene management module, an accident simulation module, a user role management module, a drilling monitoring and management module and a data service module. A user logs in the system through the user role management module. The user role management module extracts data from the accident simulation module, the data service module, the scene management module and the rescue equipment module so as to perform rescue operation. The data service module provides the relevant data of rescue operation to the monitoring and management module. The monitoring and management module writes the rescue operation data in a drilling real-time database through the data service module. Drilling, training and examination are normalized so that the safety consciousness of employees and the emergency disposal skills for emergency can be greatly enhanced.

The invention provides a fault on-line diagnosis and early warning method of a flameproof dry-type transformer for mine in order to raise the accuracy and rapidity of fault diagnosis. The method comprises the following steps: determining monitoring quantity; extracting characteristic values: extracting a three-dimensional spectra parameter and two-dimensional statistical parameter in a partial discharge signal as characteristic quantities, with regard to operation voltage, current and iron core leakage current, extracting effective values of the operation voltage, the current and the iron core leakage current as characteristic values, and taking real-time values of a temperature parameter as characteristic quantities; using a normalization method to calculate a corresponding value of each characteristic quantity and taking the corresponding value as an input parameter of an intelligent diagnosis system; collecting values of each monitoring quantity under different environment, and obtaining training and testing samples of a nerve network under corresponding environment; establishing a nerve network: selecting a generalized RBF nerve network intelligent diagnosis method to establish a nerve network; utilizing a sample data training nerve network and forming a fault diagnosis tool; establishing a database; storing collected real time data and the above diagnosis result into a ground server real-time database and a real-time early warning information table, and carrying out diagnosis and early warning through an expert system.

The invention discloses a dispatching method and a dispatching system based on load online forecasting of a thermoelectric power system. The dispatching method has the main objects of a boiler and a vapor generating set which are the core equipment of a thermoelectric power generation system. The dispatching process comprises the following steps: a. acquiring data; b. creating a real-time database and a historical database; c. analyzing data and making a dispatching decision, creating a decision dispatching knowledge base to obtain a corresponding operation decision in the current optimal state to be reached and in the recent optimal dispatching state, comparing the expectation effect of the dispatching decision with an actual effect, taking the result as the condition of load forecasting, and finally obtaining the optimal dispatching decision through human-computer interaction. The dispatching system comprises a field data acquiring terminal, a field production layer DCS, a management layer ERP, a center data server and a manufacture execution and management layer MES. The invention overcomes the defects existing in the prior art; and based on the production capacity and the distribution forecast of a thermoelectric plant, the dispatching method and the dispatching system facilitate improving the production operation efficiency of enterprises, lowering the source consumption and reducing the pollution discharge.

The invention relates to a real time data compressing method, for compressing in-data packet data in a process control system, where the real time data comprises numerical values of analogue quantities and the method comprises: 1) initializing a dictionary, i.e. initializing characters that possibly occur during compressing into a dictionary; 2) reading in numerical valves; 3) making subtraction of adjacent data to obtain difference values and storing the first read-in numerical value in compressed files; 4) adopting LZW algorithm to compress the difference values. The invention realizes the lossless compression of real time data and the compressing course is safe and reliable. The invention has very good rapidness and can meet the requirements of real time databases and raises the history data inquiring efficiency.

The invention discloses a system for estimating a distributive state of an intelligent transformer station. The system comprises a scheduling center state estimation platform and a distributive state estimation plant terminal platform, and the distributive state estimation plant terminal platform comprises a transformer station real-time database, a transformer station graphic topology analysis module, a transformer station state estimation module and a distributive state estimation database. The transformer station graphic topology analysis module carries out transformer station topology analysis on station internal remote signaling on the basis of a power grid model static database maintained at a station terminal, relationship of topology connection and node device connection of station internal switch nodes and device parameters to form transformer station internal system topology; the transformer station state estimation module carries out transformer station state estimation on the station internal telemetry information and calculates credibility quality grade of information; and the distributive state estimation database is used for transmitting measurement data to a scheduling center state estimation real-time database through a transformer station communication server and a scheduling data network and simultaneously receiving information of the scheduling center state estimation real-time database. According to the system for estimating the distributive state of the intelligent transformer station, disclosed by the invention, the reliability and the accuracy of transformer station basic data can be improved, and the processing on secondary information defects is accelerated.

The invention relates to a method for optimizing combustion of a boiler. The combustion optimization of the prior boiler mainly depends on debugging stuffs to do experiments, thereby taking time and labor and obtaining limited parameter combinations. The method includes the following steps: collecting working parameters of the boiler and corresponding indexes characterizing the combustion characters of the boiler and building a real-time database; adopting an integrated modeling method supporting a vector machine to carry out modeling under the condition that the real work load is 60 percent smaller than the design load of the boiler and adopting a radial basis function neural network integrated modeling method to carry out modeling under the condition that the real work load is60 percent larger than or equal to the design load of the boiler to build boiler combustion models with different indexes; and utilizing the particle swarm optimization algorithm and combining with the built models to optimize the combustion parameter setting of the boiler according to different combustion indexes or index combinations of the boiler. The invention improves the predictive ability of the integral model, greatly improves the predictive ability of the models, and carries out one-line optimization and off-line optimization.

The invention discloses a satellite telemetry data reduction processing method. Firstly, satellite test basic configuration information is stored in a basic database, based on the configuration information in the basic database, the test command sequence is compiled by imaging interface according to satellite test requirement and stored in the basic database; the command is transmitted to the satellite according to the test command sequence, and the satellite issues telemetry parameter true codes to a ground test network; the telemetry parameter true codes are resolved into corresponding engineering values according to the data resolving mode stored in the basic database again to be stored in a real-time database; and finally, the modification items of the telemetry parameter resolving mode is automatically mapped into the real-time database. The inventive method can realize image display of the test process and the batching of test process compilation, ensure the consistency of data in the test process and the completeness of data when updating configuration resolving mode. In the test, the progress of the whole system is not stopped, the system interpretation can be executed according to the preset test rule, and the automation of the test can be realized.

The invention discloses a data cluster management system based on a quasi-realtime platform, which comprise a storage carrier layer and a cluster database access middleware. The storage carrier layer is a cluster database composed of a plurality of child nodes and each child node is a physical database server. The clustering database access middleware comprises a cluster management module, a communication management module, an execution engine module and a connection management module. By combining a plurality of real-time databases and relational databases to form the cluster database, uniform access interfaces are provided for external users, transparent access interfaces to measuring point positions are realized, uniform and transparent data access service is provided for the external users, centralized storage and share of massive data of the quasi-realtime platform are satisfied.

The invention discloses a system and method for task processing. The system comprises a request receiving module, a task splitting module, a task processing module, a result integration module and a result returning module. According to the characteristic that historical data of a real-time database are managed through a non-shared mechanism in the prior art, a shared management mechanism is adopted in the system. A query task requested by a user is split into a plurality of sub-tasks by various functional modules of the system on the basis of a preset splitting strategy. Parallel processing is conducted on the sub-tasks on the basis of a data source shared mechanism. When the method is specifically implemented, a plurality of database servers can be arranged to serve as equal nodes to be connected to the real-time database, so that a data access right of the real-time database is shared. Parallel access is conducted on the real-time database, so that the sub-tasks are processed in parallel. Compared with an existing task processing method based on the non-shared management mechanism, the inquiry performance of the real-time database is greatly improved through the system and method for task processing.

A system, method, and computer program product search a cache database in response to a search request from a user, determine which of the search results is most likely to be preferred by the user, and verify the preferred results against a real-time database. If the verification determines that the preferred results are accurate, then all the search results are provided to the user. If the verification determines that the preferred results are not accurate, then those results are deleted and the remaining results are provided to the user. As a result, the accuracy of the results returned to the user is increased, while queries of the real-time database are utilized only where most useful and are thereby reduced.

The invention discloses an industrial enterprise power utilization load optimizing system which belongs to the field of enterprise power load scheduling. The industrial enterprise power utilization load optimizing system is characterized in that hardware comprises a relationship database server, an application server, a client end PC, a real-time database server and the like, wherein the application server is connected with the real-time database server for carrying out data interaction, the application server is connected with the relationship database for carrying out data storage and reading, the client end PC is connected with the application server for carrying out information interaction; and the application module comprises a data acquisition module, a data processing and storing module, a demand computing module, a parameter setting module, a demand predicting and controlling module, a load control scheme and alarm information managing module, a demand analyzing module and a time-sharing power rate analysis optimizing module. The invention has the advantages of a power utilization plane with minimum cost in further of the enterprise through demand analysis and time-sharing power rate analysis optimization, and the purposes of transferring peaks and balancing valleys, balancing loads, prolonging the service life of electric equipment, and reducing power utilization cost of the enterprise.

The invention relates to an extracting method of fire generator assemblage operation optimality principle on the basis of data mining, which utilizes real-time data bank, adopts data mining algorithm, finds out optimum operating state under the similar generator assemblage operation working order according to performance index such as stability, economy, environment protection and the like, and establishes a non-linear stable steady-state model between regulating capacity and runnability of the generator assemblage under the different disturbing capacities of the generator assemblage through data accumulation. The invention provides a real-time operation guide for operating staffs, which achieves the a purpose of optimizing fire generator assemblage operation.

A method and a device are disclosed for monitoring the synthesis of proteins by the ribosome in real time, in vivo as well as in in-vitro. The ribosome is engineered to carry a donor fluorophore, and tRNA and/or amino acids and/or some other part of the ribosome are either engineered to carry acceptor fluorophores or else their natural fluorescent properties are utilized as acceptors. As the ribosomes mechanism processed the mRNA and tRNA molecules and synthesizes a polypeptide chain, a light source illuminates the ribosome, exciting the donor fluorophores and thereby the acceptor fluorophores whenever these are in sufficient proximity to a donor. The resulting signals are detected and used as a key for real-time database searching and identification of the protein being synthesized. The resulting data can be tabulated and interpreted in different ways. FIG. (1) describes the properties of a FRET pair and the dependence of FRET on pair distance.

The invention relates to a computerized system for predicting completions to input text which is typed by a user to a text-oriented active application within a client computer, which comprises: (a) an off-line server that gathers texts from textual repositories, analyzes and processes the same to produce entries for an off-line database, said off-line server updates periodically a real time database of a real time server; (b) a real-time prediction server for receiving from an agent at said client computer serial requests for predictions, extracting in response to each of said requests one or more text predictions from tables within said real time database, and for conveying said one or more text predictions to said agent, wherein each of said text predictions comprises one or more words; (c) said real time database which comprises one or more tables containing word combination entries of various sizes, wherein each of said entries is associated with a weight which is used to estimate the probability for this combination to complete the typed text as included in the respective request for prediction; and (d) said agent which extracts in real time each present user typing to said text-oriented application, produces requests for prediction for new typing, sends the same to said prediction server, receives in response said one or more text predictions, and presents to said user said one or more text predictions for selection.

The invention provides a content aggregation method based on distributed web crawlers, which comprises the steps that firstly different crawler platforms are arranged at different devices, a request is sent to a crawling network information source end, and the crawler platforms fabricate crawling rules according to target information required by a user and crawl information in which the target user is interested; the crawled network information is processed, similarity detection is carried out based on a data transmission and conversion method in a real-time database and by being combined with a locality sensitive hashing (LSH) method so as to reduce the redundancy of the information; and the information is classified and sorted by the system according to the category, the heat and keywords and then displayed on user equipment. According to the method provided by the invention, LSH and similarity comparison are carried out according to the data information acquired in an actual network so as to acquire a comparison result. Compared with a comparison result acquired by adopting a traditional mode of whole data duplication checking in the prior art, the content aggregation method is higher in calculation speed and more accurate in similarity comparison.

The invention discloses an integrated monitor cross platform configuration human-computer interface system, which comprises a server and a workstation, wherein the server and the workstation are internally provided with operating systems and a human-computer interface system framework; the human-computer interface system framework is characterized by being an MVC architecture and supporting the operating systems of Unix, Linux and Windows; the system also comprises a graphical component module encapsulated with a set of basal graphic objects in an inheritance way; a graphical control module encapsulated with a set of graphic interactive controls; and a script engine system which comprises a script engine module used for parsing the script, driving a script extended function library and dynamically executing the script and a script extension module used for accessing a real time database and a historical data base and judging authority. The integrated monitor cross platform configuration human-computer interface system realizes resource sharing and interconnection requirement, and solves the hardware platform problems of a hybrid platform and a heterogeneous platform of the integrated monitor system.

The invention provides a communication managing machine capable of being comprehensively realized based on an extensive markup language and a dynamic library, comprising an internal memory real-time database functional module, a collection specification functional module, a transmission specification functional module and a maintenance management functional module, an operating system and an API (Application Program Interface) thereof, an API in a self-extensive dynamic link library file, and a bottom layer driving module. A specification functional code is stored in a library file form with a..so suffix format; in an operation process, the specification functional code is dynamically loaded into an internal memory; and a new specification dynamic library file is added through the maintenance management functional module. An XML (Extensive Makeup Language) format file is combined with the dynamic link library file and the XML format file is used as a data carrier to describe a configuration parameter, so as to realize logic functions of different communication specifications; and the dynamic link library file can be flexibly increased and decreased according to application requirements, and transplanting, reduction and expansion of a communication specification function can be realized; communication specification updating is supported or a new type communication specification is increased; and a private communication specification of the third party is supported, so that the debugging efficiency is obviously improved and the managing cost is obviously saved.

The invention discloses an intelligent dynamic load balancing method for a high-speed real-time database. The method comprises the following steps of: configuring cluster arbitration tables with consistent content in each client and each cluster server node; dividing a background data storage module into different physical storage partitions; establishing communication and connection between the client and each cluster server node; maintaining the consistent content of the cluster arbitration tables in servers on respective cluster server nodes by respective cluster server nodes; receiving and processing a task sent by the client; initiating a data reading and writing request to a global virtual internet protocol (IP) address by the client; sending the request to a destination cluster server node by a network communication management module; and performing necessary verification by a target cluster server node after the request submitted by the client is received, and processing a legal request. According to the method, hardware and software resources of a plurality of server nodes are flexibly integrated and optimal utilization and scheduling of hardware platform recourses are realized.

The invention discloses a smart power plant integrated monitoring and management system which comprises a smart management and control platform, a multi-energy flow IEMS network switch and a factory-level DCS; a smart management and control platform comprises a 10 Gigabit network switch, a server and a smart management and control platform administrator station; the server comprises a redundant real-time data server, a redundant non-real-time database server, a smart business decision-making application server, an energy trade transition application server and other software application servers; the server and the smart management and control platform administrator station are connected with the 10 Gigabit network switch; the factory-level DCS has two ways to upload externally; and the multi-energy flow IEMS network switch has two ways of upward interfaces. The system has the benefits that: a linkage application case after intelligent subsystems are accessed is planned, so that the design integrity of the smart power plant is stronger; combined with a DCS control system, the extension of automatic control range to the automatic control of the whole process operation is realized; and the smart power plant is endowed with the ability to integrate with the overall design of upper-level smart parks and smart cities.

Root cause analysis of changes impacting database performance, availability and continuity to the underlying business may be performed. A system for doing so may include analytical and visual comparison root cause analysis engines to identify changed database performance statistical parameters (such as CPU consumption, physical I/O, etc) related to a historical period of time on a single database or across multiple databases. Result data may be displayed through a series of charts and reports that may indicate whether correlations exist between unexpected database performance and relative changes in database performance statistical parameters. A visual root cause analysis system may further apply noise reduction algorithms to clarify trends in changes of database system performance.

A method for creating multiple QUIESCE DATABASE Copies (QDC) on a single server by mirroring a disk copy of a live database that is in a quiesced state and splitting them from their source, and then bringing the mirrored disks containing online snapshots back online to the server.