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33results about How to "Efficient data storage" patented technology

Method for achieving NoSQL key-value storage engine

A method for achieving an NoSQL key-value storage engine comprises two stages: firstly obtaining NoSQL storage engine Key Value SE: A1, removing an independent module from A relational database management system (RDBMS), and only keeping the storage engine in the RDBMS; A2, establishing a single-row byte string data line structure serving as a data line structure of a data table in the storage engine; and A3, setting a dependent manner of the storage engine based on callback functions registered by users; and secondly, enabling the storage engine Key Value SE to be remade into a storage engine supporting multi-process and multi-thread: B1, enabling all global variable to be placed in a thread local storage; B2, replacing an original signal communication mechanism between processes with a communication mechanism between threads; and B3, setting a thread initialization function and an exit function. The method can make maximum use of a mature storage engine of the RDBMS to achieve development of the NoSQL key-value storage engine, avoids a large amount of repeated development work, and simultaneously can rapidly achieve production of the NoSQL key-value storage engine with high concurrency, complete ACID transactional semantics and an efficient data storage and access method.
Owner:PEKING UNIV FOUNDER GRP CO LTD +2

Configurable Internet of Things data acquisition system and configuration method

The invention discloses a configurable Internet of Things data acquisition system and a configuration method, and belongs to the technical field of Internet of Things. The Internet of Things data configuration method is configurable for system construction and supports modification, addition, deletion and other operations of information such as monitoring objects and data acquisition equipment, the data acquisition system can be rapidly built by using a variable template and the like. The Internet of Things data acquisition system comprises a data acquisition module, a system software module and an application software module. The system software module comprises a data transmission sub-module, a real-time library sub-module, a relation library sub-module, an alarm early warning information sub-module, a system configuration sub-module, a data interface sub-module, a system log sub-module and a remote control sub-module. The organization of functional data such as data storage, alarm early warning and data interfaces takes monitoring objects as the basis, data are stored in a real-time library in a hash mode, the data are stored in a relational library in a variable grouping mode,and the application of data in a system and a third-party application is facilitated.
Owner:丹东华通测控有限公司

Distributed real-time monitoring system for manufacturing equipment

The invention discloses a distributed real-time monitoring system for manufacturing equipment. The system comprises a data collection unit, a data processing module, a data transmission module, a local server arranged in each factor, and a cloud server used for inquiring each local server, wherein the data collection unit comprises a pressure sensor, a photoelectric distance sensor, an eddy current sensor, a coder and a PLC (Programmable Logic Controller); after the data collection unit collects equipment data, the data is transmitted to the data processing module; the data processing module is used for compressing and packaging the above equipment operation data, and transmitting the above equipment operation data to the local server through the data transmission module; the local serveris used for storing the equipment operation data, and meanwhile, the real-time operation state of each piece of equipment is monitored; the cloud server is used for inquiring the database of each factor; for key data in a part forming process, the health state of the equipment and the quality of parts can be judged; and when the data exceeds a set value, an alarm prompt is given. By use of the system, real-time data detection and equipment maintenance can be realized.
Owner:NANJING UNIV OF SCI & TECH

Large-scale knowledge graph storage scheme based on distributed key value library

The invention discloses a large-scale knowledge graph storage scheme based on a distributed key value library. A "KG over SQL" unified storage scheme or a "KG over KV" unified storage scheme is adopted; the unified storage scheme of "KG over SQL" comprises the following steps: reading knowledge graph data; extracting metadata in the mapping knowledge domain, and generating a corresponding SQL statement; extracting data in the knowledge graph, storing the data in a data structure, and generating a corresponding SQL statement; executing an SQL statement through an external SQL interface of the Cockroach DB database, and establishing a relation table; mapping the data in the relation table into a key value pair form by using an original data coding mapping scheme in a Cockroach DB database, and storing the data in a Cockroach DB bottom layer; By means of the "KG over KV" unified storage scheme, knowledge graph data are read, a knowledge graph is converted into a graph containing index nodes, index node graph data are stored in a data structure, and the data are mapped into a key value pair form through an optimized data coding mapping scheme and stored in a Cockroach DB bottom layer. According to the method, efficient data storage compatible with the RDF graph model and the attribute graph model can be realized.
Owner:TIANJIN UNIV
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