56 results about "DataFlash" patented technology

The invention relates to the technical field of big data, and discloses a business data query method, device and equipment and a storage medium, which are used for improving the data query efficiency.The business data query method comprises the steps of obtaining a plurality of business table names and a plurality of pieces of business field information corresponding to each business table; generating a target page based on the label tree data, and setting a corresponding content data box for each piece of service field information in the target page; screening a content data box corresponding to each piece of service field information according to the data box operation instruction to obtain to-be-queried field information; determining a to-be-queried data table name from the plurality of service table names, and sending the to-be-queried data table name and the to-be-queried field information to a target server, so that the target server splices the to-be-queried data table name andthe to-be-queried field information into a structured query language statement; and obtaining target service data according to the structured query language statement. In addition, the invention alsorelates to the blockchain technology, and a plurality of pieces of service field information can be stored in the blockchain node.

The invention relates to the technical field of AR, and discloses a virtual live broadcast method and system based on smart phone AR augmented reality. According to the scheme, the image data is acquired through the combination of the SceneKit framework and the ARKit framework, wherein the SceneKit framework is used for acquiring real world image data and displaying a virtual 3D model; the ARKit framework is used for being responsible for capture and action interaction of camera events, the collected image data are presented with SCNView as a carrier and transmitted to the data processing layer, and AI beautifying, filter filtering and static image layer superposition processing is carried out; meanwhile, audio data is collected and transmitted to the data processing layer for noise reduction processing; and then AR images are collected, coded and packaged, and then plug flow and transmission are carried out. According to the scheme, AR augmented reality is carried out based on the SceneKit framework and the ARKit framework, the AR effect in the live broadcast result is derived from the stream pushing framework, and live broadcast stream pushing with the AR special effect is realized.

A system is described for transmitting data in a serial bidirectional bus with a control device (1) comprising a send and receiving unit (34) for data fields (7, 8 and 9) combined into a data frame (6), and with bus subscribers (2, 3 and 4) which comprise an evaluation circuit (10) for reading in and reading out data fields (7, 8, 9, 14, 15 or 16) in data frames (6, 11), with at least the bus subscriber (4) at the bus end opposite of the control device (1) comprising a send device (12) for a data frame (11). In order to provide simple constructional conditions it is proposed that at least the bus subscriber (4) at the end of the bus comprises a control stage (13) which is activated by a received data frame (6) and triggers the send device (12) depending on the receipt of a data frame (6) within the terms of the transmission of a data frame (11) for at least the data fields (14, 15 and 16) of the bus subscribers (2, 3 and 4).

A computer implemented method for generating a performance rating for a developer may include monitoring developer activities to obtain near real-time activity data; exploring the near real-time activity data to identify entities; structuring the near real-time activity data into data-frame objects; performing a feature engineering procedure to measure representative behaviors of the developer and performing a performance analysis to produce performance rating of the developer.

The embodiment of the invention provides a memory bank. The memory bank comprises a control chip, at least one data flash memory chip, at least two memory particles and at least one nonvolatile memoryparticle, wherein each data flash memory chip is connected with at least one memory particle and at least one nonvolatile memory particle, the control chip is respectively connected with all the dataflash memory chips and all the memory particles, and the memory bank is also connected with at least one capacitor; the control chip is used for sending a control command; and each data flash memorychip is used for carrying out data processing between the memory particles and the nonvolatile memory which are connected with the data flash memory chip according to the control command of the control chip. According to the memory bank, the capacity can be expanded as much as possible in a limited space, and the processing speed is higher.

Various methods, apparatuses/systems, and media for automatically generating tests in Gherkin format are disclosed. A repository stores open application programming interface (API) specification definition file corresponding to an application. A processor accesses the repository to obtain the open API specification definition file as input data. A receiver receives the input data. The processor parses, in response to received input data, the specification to collect data from the open API specification definition file; structures the collected data into a data frame object; implements a processing logic to derive applicable tests using a predefined template; implements the tests by utilizing the predefined template; and automatically generates, based on the implemented tests, corresponding test cases in an executable Gherkin syntax. This process of automatically executing testing of the application based on the functional tests is performed, for example, on a Kubernetes platform.

The invention belongs to the technical field of Web back-end development, and is about a GraphQL-based class metadata framework. The GraphQL-based class metadata framework uses GraphQL basic grammarsand is combined with a metadata query component to realize safe and rapid conversion from metadata query statements to actually executed SQL or third-party interface calling. According to the invention, data acquisition is more accurate, and redundancy does not exist; and, for interfaces only needing to obtaining ids and names, the is avoided, only the data related to the two fields can be returned, redundant data cannot be generated, less dependence is introduced after a framework is used, the problem of complicated dependence conflicts does not need to be solved, seamless fusion with codes is achieved, new business requirements or requirement changes are achieved, and query statement instances is written and edited on the premise that back-end codes are not changed. The service stabilityis higher, the effect of aggregating multiple queries into a single query is achieved, and the query capability similar to that of a current metadata framework is achieved.

The invention belongs to the technical field of power system operation and control, and particularly relates to a power system operation data modeling and feature selection method and device, electronic equipment and a storage medium. The historical operation data preprocessing process and the original system physical simulation modeling are carried out; parallel simulation and batch data result labeling are performed on the modeled system; a first-stage feature selection and preliminary screening process of a filtering method based on a statistical method and feature association degree; and a second-stage feature selection fine screening process based on the rotating forest finally obtains a power system operation data feature subset with a small number of features, low feature redundancy and high feature key information density. According to the method, key features under an electric power system operation data framework can be extracted, and the accuracy and speed requirements of safety and stability analysis of the electric power system can be fully met. The method effectively improves the standard processing capability and the analysis and utilization efficiency of the operation data of the power system, and is easy to implement.

The invention provides a system and a method for acquiring a power supply coal consumption characteristic curve of a coal-fired power generating unit under deep peak adjustment load. The method comprises the following steps: step 1, acquiring a data frame of the coal-fired power generating unit; step 2, obtaining an effective data frame from the data frames; respectively calculating a daily load rate, a daily depth peak adjustment load rate, a daily non-depth peak adjustment load rate and a daily depth peak adjustment generating capacity proportion corresponding to each group of effective observation data in the effective data frame; 3, setting a quadratic function between the unit load rate and the power supply coal consumption; 4, setting a target function; obtaining a power supply coal consumption characteristic curve under the deep peak load adjustment load of the unit; according to the method, the power supply coal consumption characteristic curve under the deep peak adjustment load is obtained by using the actual operation parameters of the coal-fired unit, and the defect of high cost of an existing performance test method can be effectively solved.

The embodiment of the invention provides a file processing method, a file processing device, a computer readable medium and electronic equipment, and relates to the technical field of computers. The method comprises the steps of creating a data framework in a preset file format, and obtaining canvas data and layer data in a to-be-converted file; updating the data framework according to the canvasdata, and collecting image data from the layer data; performing path modification on the image data according to a preset file format to generate a data structure corresponding to the path-modified image data; and updating the updated data framework according to the data structure, and storing a file corresponding to an updating result. According to the technical scheme, the data framework containing the required data structure can be obtained through secondary updating of the data framework, the automation degree of image data analysis format conversion can be improved through storage of thefiles corresponding to the data framework, and the cost of manual conversion is reduced.

A method for writing to a non-volatile electronic memory with data words and assigned pieces of index information. The non-volatile electronic memory is initially filled exclusively with empty data frames. The empty data frames are overwritable with multi-data frames and/or individual data frames. A multi-data frame includes a selectable number of sequentially stored data words, and a multi-data frame header. A frame-type marker, the number of data words, and a selectable start index are stored in the multi-data frame header so that each data word is assignable a unique index value from an index interval by incrementing or decrementing. An individual data frame includes one data word and an individual data frame header. A frame-type marker and a selectable index value for the one data word of the individual data frame are stored in the individual data frame header.

The invention discloses an IT data framework transmission method based on a block chain. The method includes: the following steps: S1, accessing IT domain basic data from an IT asset management system; s2, managing and storing the IT service management system; s3, managing business data from the IT service management system; s4, managing IT asset data in the block chain data management platform; and s5, watching the IT asset data in the block chain data management platform through a visual platform. Through a data access standard, stable data butt joint of each business system service and a block chain basic platform is realized, data consistency of an IT asset system, an IT service management system and an IT operation and maintenance visualization system is achieved, and distributed storage, IT asset data source credibility management and full life cycle management of IT asset series are achieved. Autonomous controllable safety management of IT data and data quality management of IT assets can be realized.