58 results about "Real time database systems" patented technology

The invention discloses a method for recovering a backup of a real-time database and belongs to the field of application of the real-time database in an information-based system. The method comprises the steps as follow: offline performing total backup and recovering under the state that the database stops operating, online performing total backup and recovering under the state that the database is operated normally, and performing incremental backup and recovering under the state that the database is operated normally. The method achieves the condition of safe, stable and efficient data backup and data recovery of a real-time database system in a production environment under the premise that an upper application is not influenced. The method achieves a backup tool program to support total backup of the real-time database under the offline state and the online state, and simultaneously supports incremental data backup of the database under online state, and achieves a recovery tool program to support to settle and recover the backup file to ensure validity of the backup. By using the manner of backing up a file block, the method improves backup efficiency and greatly reduces influence of a backup procedure on the real-time database and the application thereof.

The invention discloses a data storage method. The method comprises the following steps of dividing the to-be-stored data into a plurality of data sets; enabling each data set to establish a mapping relationship with a corresponding server node through a virtual storage space domain and a Harsh algorithm, namely storing each data set into the server node which has the mapping relationship with the data set. The automatic storage of massive data in a distributed real-time database system is realized, the data distribution workload of workers is reduced, and the distributing efficiency during data storage is improved. The invention also discloses a data inquiry method and a data storage system.

The invention discloses a large-grid distributed real-time database system and a data management method thereof. The system comprises a wide-area distributed real-time database storage system (1), a globally unique identifier analysis and service positioning system (2), a sub-system internal real-time data access system (3) and a distributed service agent (4), wherein the wide-area distributed real-time database storage system is used for storing real-time data in a wide-area distributed environment and efficiently indexing the real-time data by a globally unique identifier; the globally unique identifier analysis and service positioning system is used for analyzing the globally unique identifier and positioning a logical space in which the real-time data is accommodated and a corresponding service agent by using the globally unique identifier; the sub-system internal real-time data access system provides service for the network access of the real-time data in a sub-system on the basis of the wide-area distributed real-time database storage system; and the distributed service agent is connected with the globally unique identifier analysis and service positioning system and the sub-system internal real-time data access system and provides the service for cross-area and cross-system sharing and access of the real-time data. By the invention, the sharing and management of the mass real-time data in the wide-area distributed network environment can be realized.

The invention relates to a big data processing and remote monitoring system which comprises a data acquisition module, a data transmission module and a cloud computing platform. The data acquisition module can acquire data through a real-time database system and can also directly read data from a PLC / DCS / SCADA data system, the data transmission module sends real-time data to the cloud computing platform, the cloud computing platform receives real-time data, then perform data screening, conversion and calculation and compares calculation results with the most optimized result, and finally a comparison result is fed back to a field operating device for optimization operation. The problems of short effectively control distance, difficult real-time analysis and calculation, difficult equipment hidden danger / failure prediction, high non-planned parking frequency and the like existing in the prior art are solved.

The invention discloses a load balancing management system of a large-power-network real-time database system. The real-time database system is a parallel database system, and table files of the real-time database system are divided into M sub-tables and are stored on Q data nodes. The load balancing management system comprises a table file division module, a storage module, a heartbeat module, a metadata management module and a load balancing judgment module. The table file division module is used for dividing the table files according to the number of the nodes and sizes of the table files, the storage module is used for storing the divided table files into the data nodes, the heartbeat module is used for communicating the data nodes with management nodes, the metadata management module is used for managing the correspondence of the sub-tables and the data nodes, and the load balancing judgment module is used for judging whether the load of the system is balanced. The load balancing management system of the large-power-network real-time database system not only guarantees high concurrency and response of the parallel real-time database, but also guarantees load balancing of nodes in the cluster and load balancing of each database table file.

The invention provides a calculation method based on an expansible script language, wherein the calculation method is capable of supporting a user to provide multiple lines of script codes in each calculation service so as to perform various complicated calculation, logic processing and system calling (by executing an application program in a host system). The technology of the calculation method is deeply integrated with an object-oriented ChRDB (Chec Real-Time Database) system and supports the following three types of calculation script logic trigger manners: (1) timer trigger, (2) specific data point variation / write-in trigger, and (3) certain data object variation / write-in trigger, wherein a more complex real-time execution logic based on real-time data can be generated through configuration, and when variable user requirements are confronted during engineering implementation of an automated monitoring project, corresponding work can be completed through configuration, so that the secondary development work load of a system can be maximally reduced.

The invention discloses a method for realizing real-time data parallel compression by utilizing GPU (Graphic Processing Unit) cooperative computing. In order to increase the efficiency of processing large-scale data compression by a real-time database and increase the system data processing ability, the data compression is realized by using a GPU cooperative computing mode by adopting a CUDA (Computer Unified Device Architecture) technology, and the compression algorithm adopts a common revolving door compression algorithm of an industrial real-time database. A compression algorithm flow which is modified according to a GPU parallel method is shown in an attached diagram of the abstract. According to the method for realizing data compression computing by adopting GPU parallelization, disclosed by the invention, the compression efficiency is increased by about 70%; and the increasing of the compression efficiency means that the operation load of a CPU (Central Processing Unit) can be reduced to a certain degree, and the performance of the whole real-time database system can be increased.

The invention discloses a method for controlling a real-time database system. The method makes a standby machine in a data acquisition state and increases the real-time data judgment and synchronous process before a host machine finishes data acquisition and updates a self real-time database; if the host machine judges that the acquired data of a subsystem or equipment has problems through a communicating state, the host machine emits a data request of the data of the part to the standby machine through a data communication program of the standby machine; after the standby machine receives the request of the host machine, the standby machine also judges whether the acquired data has problems; if no, the data of the part is returned to the host machine; otherwise, a fault sign is returned to the host machine; and after the host machine receives the information returned by the standby machine, the host machine updates the real-time database and releases the data or emits an equipment fault signal. The controlling method removes the problem of wrong data caused by communication failures between the host machine and the subsystem or the equipment and ensures the data reliability and usability of the whole real-time database system.

The invention provides a hierarchical indexing method based on a distributed real-time database system (DRTDBS), and belongs to the field of a database. The hierarchical indexing method includes the steps of acquiring a data operation request from a client; extracting tag points in the operation request; determining a target data storage server in a hash index annular list; further enabling the target data storage server to perform hierarchical indexing in a B+ tree; and after determining an operation position, performing data operation. The invention can ensure high efficiency in real-time database data storage and retrieval by using the hash index annular list, and can also allows the tag point indexing to be more independent thanks to the establishment of a separate B+ tree data index for each tag point, so that a high fault tolerance is attained among data storage servers in the distributed real-time database.

The invention discloses a real-time warning method under a space-time dynamic mode of a sensor network. The real-time warning method comprises the following steps: using a real-time database system to acquire real-time dynamic data from the sensor network in a real-time manner in advance; defining atomic events based on an ECA (Event Condition Action) rule in advance, and compounding the atomic events to obtain a complex event; establishing a dynamic Bayes network model in advance to obtain an indeterminate complex event rule base; establishing a detection method for carrying out real-time analysis and matching on event flows based on an automatic mechanism in advance; establishing a reasoning structure based on an intelligent agent dependency graph in advance; reasoning the event flows from the sensor network on the reasoning structure based on the intelligent agent dependency graph in a real-time reasoning algorithm based on the ECA rule to obtain a determined result of the events; and trigging the real-time warning when the determined result is true, actuating corresponding inform operation, and warning. The real-time warning method has the advantages of real-time performance, stable property and higher efficiency.

The invention relates to a power station condition online diagnosis and operation optimization system based on data coordination. The power station condition online diagnosis and operation optimization system comprises an AF platform, a data coordination technology and a mass data processing technology, wherein mechanism mathematical models of components form a unit system model based on the mechanism mathematical models; due to the combination of the data reconciliation technology and a power station system model, more accurate and reliable data input is provided for the unit system model; mass real-time operating data of a unit are guaranteed. By adopting an advanced computer technology, the system is combined with power station generation process and system characteristics, utilizes an existing real-time database system of a power station, builds and completes a complete set of power station condition online diagnosis and operation optimization system based on data coordination; in virtue of AF products, a visual editing and operating environment with data coordination, equipment characteristic analysis, performance computation and fault diagnosis is realized; performance monitoring and state diagnosis information publishing functions based on business application are completed.

The invention provides a real-time data system of industrial big data and an operation method. The system comprises a data acquisition module, a database module, a real-time report module, a trend monitoring module and a background program monitoring module. According to the invention, a real-time data format processing technology and a database technology are combined; an improved phased linear data compression algorithm and an improved B + number data index algorithm are used. The information technology of the real-time database system is sent to the enterprise, and a unified and comprehensive enterprise-level real-time database service platform is provided for the enterprise, so that real-time dynamic monitoring and analysis of the management decision process of the enterprise can be realized, the operation condition of the enterprise can be improved, problems can be timely discovered, the production cost can be reduced, and the product quality can be improved.

The present invention discloses a redundancy backup method suitable for a wide-area distributed real-time database. In a wide-area system, one or more copies are established in a distributed real-time database system for data in the system in a redundant manner, and consistency of the system is ensured by management of the copies. The method comprises the following steps: (1) the copies are divided into a cold copy and a thermal copy, wherein the thermal copy provides an external access, and the cold copy is only used as a backup copy providing no external service capability, and a thermal copy as a benchmark in all thermal copies becomes a master copy, and only the master copy is allowed to be written; (2) managing a status of the copy, wherein the copy is managed by means of status conversion the copy such as master / standby data switching and cold / thermal copy switching, so as to ensure consistency of data of the system; and (3) performing secondary positioning on a request that the master copy cannot achieve. According to the redundancy backup method suitable for a wide-area distributed real-time database provided by the present invention, a redundancy mechanism between different servers and different systems in the system is implemented; and consistency of the data in the wide-area distributed system is ensured by management of the copies.

The invention provides a large-scale petrochemical device air cooler energy efficiency evaluation on-line monitoring system and method. The system is formed by a data acquisition and emission portion and a data receiving and processing portion. The data acquisition and emission portion comprises a wireless data transmitter, a first indirect wall temperature sensor, a second indirect wall temperature sensor, a pressure / flow sensor, a first direct air velocity / temperature sensor, a second direct air velocity / temperature sensor and an electric power measuring instrument, wherein the first indirect wall temperature sensor, the second indirect wall temperature sensor, the pressure / flow sensor, the first direct air velocity / temperature sensor, the second direct air velocity / temperature sensor and the electric power measuring instrument are connected with the signal input end of the wireless data transmitter. The data receiving and processing portion comprises a wireless data receiver, a factory real-time database system and a control system, wherein the factory real-time database system and the control system are connected with the wireless data receiver. The method comprises the steps of establishing a real-time database and calculating the performance of an air cooler online. A temperature measurement device is installed without parking; on-line monitoring of energy efficiency of the air cooler can be realized; and real-time dynamic oscillograms of thermal load, heat transfer coefficient, motor power consumption and energy efficiency ratio of the air cooler are displayed directly.

The invention discloses a real-time database data transmission method applied to distributive energy management. The method is implemented based on the distributive real-time database, and the whole distributive real-time database is composed of a plurality of stand-alone real-time database nodes; each node can be independently operated or all nodes can form a distributive real-time database; the plurality of real-time database nodes communicate with each other, and a distributing / subscribing model is operated at a message center to provide an access interface, so as to form a distributive real-time database system which is physically distributively operated and logically stand-alone. According to the method, each real-time database node is at the same level and no key node is provided, so that the reliability of the whole real-time database is improved; the whole real-time database cannot be influenced by the fault of some node; therefore, the problem of inconvenient communication caused by a plurality of intelligent devices, large data acquiring quantity, uneasy allocation of real-time database of single monitoring system of the large-scale distributive energy managing system can be solved.

The invention discloses a cloud distributed real-time database system which comprises a real-time database and a real-time service bus. The real-time database comprises a storage layer with a distributed hierarchical structure, a positioning layer and an interface layer; the storage layer stores a real-time model based on a distributed NoSQL database, and the real-time model corresponds to a relational model of a relational database of the power grid system; the positioning layer is used for storing fragmented memory snapshots, and the fragmented memory snapshots comprise monitoring model snapshots, numerical section snapshots, transaction snapshots and the like; the interface layer provides a transaction type component and is used for realizing establishment, access and processing of a fragmented memory snapshot; and the real-time service bus comprises a model loading service, a fat client service and the like. Based on the intelligent power grid regulation and control system CIM model grouping and slicing technology, fat client service real-time calculation processing and thin client quasi-real-time access are achieved, model checking and synchronization functions are expanded, and concurrent control and extension expansibility of the system are improved.

The invention relates to a real-time data management technique in the technical field of power system control, in particular to a parallel real-time database system and a data management method thereof for a power system. The database system comprises N real-time database nodes and a metadata management subsystem, wherein the N real-time database nodes are connected with the metadata management subsystem through a communication network, and the metadata management subsystem is used for storing and managing distribution modes of the parallel real-time database system. According to the parallel real-time database system and the data management method thereof, the data manipulation performance of the parallel real-time database system can be remarkably improved under the condition that the database nodes are enough.

The invention discloses a method and a device for monitoring an information server. The method is realized based on a PI (plant information) real-time database system and can not only collect various running state data of the information server in real time but also further carry out deep statistic analysis on the running state data so as to obtain the trends of various running states of the information server. Therefore, the possible problems can be effectively prevented and the convenience is provided for management and maintenance of the information server.

The invention provides a data storage and retrieval method facing electromechanical equipment. The storage method comprises the steps of adopting a real-time database system to receive, store and manage real-time data of each electromechanical equipment, wherein the real-time database system comprises a memory database and a disk database, the memory database is used for storing real-time data of a recently collected batch in a system, and the disk database is used for storing historical data and real-time historical data. According to the data storage and retrieval method facing the electromechanical equipment, characteristics of high instantaneity and the like are maintained, and data storage efficiency and retrieval speed are improved as much as possible at the same time; fast retrieval of mass data can be achieved to the real-time database data stored with the method.

The invention provides a transaction committing method and device based on a distributed type real-time database system. The method comprises the steps as follows: a coordinator takes a participant who sends and complete information of data operation as a candidate coordinator and sends preparation information and appointment information to the candidate coordinator; the coordinator sends the preparation information to an ordinary participant and the coordinator; the coordinator receives obtained processing feedback information of the candidate coordinator, the ordinary participant and the coordinator after the candidate coordinator, the ordinary participant and the coordinator receive the preparation information and process transactions of the candidate coordinator, the ordinary participant and the coordinator, and sends final decision information to the candidate coordinator, the ordinary participant and the coordinator according to the processing feedback information; and under the condition that the candidate coordinator, the ordinary participant and the coordinator all don't receive the final decision information within a preset time, the candidate coordinator is changed into a coordinator automatically, and the step of executing the reception of the information that all participants complete data operation is returned to, so that the blocking probability is reduced, and the timeliness of transaction committing is improved.

The open real-time database cross-process access technology proposed by the present invention adopts a microkernel architecture based on the POSIXIPC mechanism, and the real-time database system attached to it adopts a general pure object-oriented data description method independent of specific problem areas. The program implementation of the open real-time database cross-process access technology is based on the high-performance object-oriented real-time database ChRDB developed by the applicant. With the support of this technology, the ChRDB real-time database system can provide general and open real-time data access services (DDL, DML) to each user process running in the system, and support the efficient modification of each functional module and user process in the SCADA system And access the real-time data in the memory, so as to realize the interaction and logical linkage of various monitoring information.

The invention discloses an LBS (location-based service)-oriented real-time database system, which is used in the field of information technology to solve the problem in the prior art that the requirement of a large-scale real-time LBS application system can not be realized. The system comprises one or a plurality of data processing servers, a naming and license server and a data access client side, wherein one or the plurality of data processing servers are used for providing a data processing function for timing sequence location information data; the naming and license server is used for providing the service name conversion and database authorization control functions for one or the plurality of data processing servers; the data access client side is used for providing the access interface of a real-time database; and each data processing server comprises the logic service name information of the data processing server. According to the embodiment of the invention, the high performance characteristic of the system processor is utilized, and the distributed architecture is adopted, so that the database system has strong real time capability, the storage space is saved, the database system is smoothly updated by adding servers, and the volume of a location acquisition spot is unlimitedly expanded.

The invention provides a database system, which comprises: an external unified interface module which is used for\providing real-time data externally in the form of a Restful API (Application ProgramInterface), and is used for load balancing for interface access, a database main service module which is used for forwarding the service request; a real-time data storage module which is used for storing real-time and historical data of the time series data in a distributed manner and providing a unified Ceph Client access interface; a message middleware module which is used for subscribing and publishing a message, and the message is used for triggering memory loading, starting a computing service and caching real-time data; a calculation service module which is used for calculating measurement points of the time sequence database; and an unloading service module which is used for unloading the real-time data of the real-time database to the historical database.

The invention relates to an atmospheric and vacuum distillation unit atmospheric pressure tower top dry point prediction method. In the prior art, there is no atmospheric pressure tower top dry point soft measurement method. By using the method of the invention, the above problem is solved. In the atmospheric and vacuum distillation unit atmospheric pressure tower top dry point prediction method, through a registration prediction system, atmospheric pressure tower top dry point prediction is performed. A prediction system is installed on a server. The server is connected to servers of a real-time database system and an LIMS system through a cable. A client is a computer and a mobile terminal with an authority so that the above problem is well solved, and the method can be used in an atmospheric and vacuum distillation unit.

The invention discloses a solution of node data resource modification under topology reconfiguration of a WSN (Wireless Sensor Network), belonging to the field of real-time data collection of WSNs. A solution for collecting data to a real-time database seamlessly in real time is designed during network topology reconfiguration by adopting a DX (Data Exchange) rule in the industrial standard OPC (OLE for Process Control). The solution concretely comprises the following steps of: finishing node registering and collector configuring at the stage of system initiation; and carrying out a self-adaptive collection algorithm so as to achieve the aim of seamlessly acquiring in real time. The invention can mainly realize that data connection is established between two OPC servers through the DX, thus data can be transmitted to the corresponding OPC server in real time to finish the collection of a real-time database system after the topology reconfiguration is sent.

The invention discloses a single-unit-single-person-attended-type thermal power generation single control bench, relates to thermal power generation plant unit control room operating bench arrangement and application, and is to solve the problem that one thermal power generating unit cannot be controlled in a manner that a single person uses an operation station at present. The single control bench mainly comprises DCS operation stations, real-time database clients, double-layer displayer supports and displayers. A real-time database system adopts a system having an autonomous development function and is used for developing various required monitor frames, wherein the developed frames mainly comprise trend frames, process control frames and index monitoring frames. One master control person can monitor content of the upper and lower two layers of displays; and three trend frames are arranged in the upper layer of displayers, and 300-500 data trend changes can be monitored simultaneously, so that monitoring efficiency of operation personnel is improved, unusual condition of the unit can be found in time to take necessary interventions, and safe and reliable operation of the unit is ensured. The lower layer of displays are used for DCS control, and with an alarm system being combined, one unit can be controlled by a single person.

The invention discloses an ionic exchange membrane cell management and background data processing system which comprises an electrolytic cell unit, a voltage quick switch device, a PLC, an exchanger and an electrolytic cell service manager. Each of the unit cells is connected to the PLC through the voltage quick switch device; the PLC controls the voltage quick switch device, so that multiple measuring signals share one PLC analog input and the cell voltage data of each unit cell are uploaded to a real-time database system of the electrolytic cell service manager. By way of measuring the voltage of the unit cell by controlling the voltage quick switch device through the PLC, the quantity of PLC is greatly reduced, the investment is reduced and the data communication pressure is alleviated, thereby providing a storage platform for big data analysis of users. The real-time operating data of the cell is conveniently developed, and the actual operating condition of the cell is analyzed by historical statistics.

The invention relates to a method for predicting a flash point of the first atmospheric pressure for an atmospheric tower in an atmospheric and vacuum distillation unit, and mainly solves the problem that no soft measurement method for the flash point of the first atmospheric pressure exists in the prior art. The method for predicting a flash point of the first atmospheric pressure for an atmospheric tower in an atmospheric and vacuum distillation unit is adopted to predict the flash point of the first atmospheric pressure through the login of a prediction system, the prediction system is installed on a server which is connected with a real-time database system and the server of an LIMS system through cables respectively, and clients adopt authorized computers and mobile terminals; the above technical scheme can solve the problem better, and the method for predicting a flash point of the first atmospheric pressure for an atmospheric tower in an atmospheric and vacuum distillation unit can be applied to the atmospheric and vacuum distillation unit.