50 results about "DataFlash" patented technology

The invention provides a financial statement generation method and system based on cloud computing, and the method comprises the steps: collecting multi-source data of an internal business system of an enterprise through a centralized data integration platform based on a cloud computing environment, carrying out the classified storage, and constructing a data set; verifying the data set, and obtaining key index fields related to financial statement generation in the verified data set; performing grouping calculation on the key index fields by adopting a data aggregation algorithm to form a financial data summarization result; dynamically mapping the financial data summarization result by adopting a report generation engine, and matching with a preset financial report template to obtain a report data framework; and performing secondary verification and encryption on the report data framework to obtain a final financial report. According to the technical scheme, automation, real-time performance and unmanned performance of financial statement generation are realized through full-link innovation of edge intelligent acquisition, streaming processing, incremental aggregation and zero-trust security.

The present application discloses a method, system, and computer system for providing a dataframe as a service. The method includes (a) receiving, from a client system, one or more hints identifying parameters for source data; (b) executing a plan for a source dataframe including determining whether accessing the source data for the source dataframe is permitted based at least in part on one or more security policies, wherein the plan is based at least in part on the one or more hints; (c) receiving from the client system a business logic pertaining to a transformation to be applied to the source dataframe; and (d) providing to the client system information pertaining to an execution result obtained based at least in part on the business logic.

The present disclosure relates to systems, methods, and devices for providing a centralized data store that receives and transmits data via agents that operate independently of one another. In some implementations, the agents transform data prior to transmission to the centralized data store. In some implementations, the centralized data store is configured to transform data. The centralized data store can evaluate, route, score, and otherwise manipulate and select received data. The centralized data store can respond to data requests based at least in part on its evaluation of received data.

The application discloses a kind of security startup methods based on HSM security hardware support, including self-update step and security startup step: the code of Bootloader is copied a copy and repartition locates code to the code interval used by App, retains the erasing code flash function, and the main core and HSM interaction part are deleted, and it is called Bootloader2 carrying code;Boot manager module is added in the startup code in Bootloader, and the Bootloader code that needs to be re-burned into ECU after repair is compiled to generate hex, the hex file is set to refresh file with specified address, and self-update refresh file is obtained by merging;Bootloader2 and updated Bootloader' are formed;ECU receives the refresh instruction issued by refresh tool, writes App valid flag to CODE FLASH, simultaneously obtains hash1, stores hash1 in the special DataFlash of HSM, judges App valid, then calls HSM to calculate hash and obtains hash2, compares by reading hash1 through HSM, consistent, then runs App, otherwise, stay in Bootloader and only retain refresh function, protect against software attack of hacker, and can safely upgrade Bootloader and App code.

The application discloses a kind of based on the post-investment risk early warning and exit decision auxiliary method and system of private equity investment project of stream data processing, belong to artificial intelligence and financial technology field.This method accesses multiple-source heterogeneous post-investment data in real time through distributed stream data framework, extracts static, dynamic and event trigger features after preprocessing using sliding window mechanism;Risk scoring fusion is carried out based on time series anomaly detection and gradient boosting tree model, risk classification and real-time early warning are realized;Quantitative exit decision scheme is generated by combining risk level and constraint condition through multi-objective optimization algorithm.The system includes multi-source data processing, real-time feature engineering, dynamic risk early warning and exit decision auxiliary module, can realize post-investment risk whole cycle monitoring and intelligent auxiliary decision of exit scheme, improve post-investment management efficiency, reduce investment risk.

The application discloses a kind of based on perception account's vehicle-mounted memory method, system, equipment and storage medium, belongs to intelligent cabin interaction technical field.The method responds to received user voice instruction, determines and the user identity for the user identity of the unique identification user of memory function associated with the user;The semantic analysis of voice instruction is carried out and initial memory data framework containing to-be-filled field is generated;According to the workflow corresponding to the semantic type of voice instruction, a plurality of basic service interfaces for executing single basic data operation are sequentially called;Each interface return data is filled into the field corresponding to initial memory data framework, to form complete memory data;After the complete memory data is associated with user identity identification, it is uploaded to server end.The application considers user identity identification and privacy security, realizes memory function and business logic decoupling, effectively improves system scalability and interaction convenience.

The application provides a data processing method and device, electronic equipment and storage medium. The original heterogeneous IT alarm text is received, and when it is determined that the original heterogeneous IT alarm text does not have a structured rule, target privacy information of a non-IT technology dimension is located from the original heterogeneous IT alarm text, the target privacy information is replaced with a mask constant that is invariant in a global state, a desensitization intermediate state text is output, a constant template representing an IT event type and an implicit key-value pair representing a dynamic parameter value are extracted from the desensitization intermediate state text, a structured data framework is determined according to the constant template, a standard slot corresponding to the dynamic parameter type under the structured data framework is determined according to a preset semantic mapping table, a parameter value corresponding to the dynamic parameter type is filled into the standard slot, a structured data file is obtained, heterogeneous data originally in a complex discrete state is reconstructed into structure-aligned data, and a semantically consistent basic observation atlas input is provided for intelligent analysis of a back end.

The state association database construction method and device, the storage medium and the computer device provided by the application, when constructing the database, first start the time synchronization control and cumulative error correction function of the multi-source data acquisition system, and monitor the target user through the system to ensure the synchronization and accuracy of multi-source data acquisition; if a collection event that meets the event triggering rule occurs in the monitoring process, the system automatically collects multi-modal data in the preset collection window, and performs association feature mapping and cognitive label matching on the data to form a multi-element data group with a clear data framework, meeting the fine-grained modeling needs of dynamic mapping of music-induced emotions and cognitive states; after the system monitoring ends, the collected data groups are subjected to data quality verification and model adaptation verification, and after the verification is passed, they are stored in the preset multi-layer structure database in layers, and the state association database formed in this way has high reliability and usability.

The invention relates to the technical field of standard substances, in particular to a standard substance uniformity evaluation method, device and equipment based on restrictive maximum likelihood estimation, a storage medium and a computer program product. According to the method, uniformity research design is determined based on the number, batch and test conditions of standard substances; obtaining measurement data of the randomly extracted standard substance, and constructing a corresponding linear mixing effect model according to the uniformity research design and the measurement data; outlier testing is carried out on the measured data, and a data frame matched with the linear mixed effect model is generated based on a testing result; and parameter fitting is carried out on the data frame based on a restrictive maximum likelihood estimation algorithm to obtain a target evaluation result, so that the accuracy of standard substance uniformity evaluation is improved.

The present disclosure relates to systems, methods, and devices for providing a centralized data store that receives and transmits data via agents that operate independently of one another. In some implementations, the agents transform data prior to transmission to the centralized data store. In some implementations, the centralized data store is configured to transform data. The centralized data store can evaluate, route, score, and otherwise manipulate and select received data. The centralized data store can respond to data requests based at least in part on its evaluation of received data.

Provided is an automatic compilation method for multiple routing operation plans in rail transit, the method comprising the following steps: step S1, identifying a selected routing type on the basis of route information of routings; step S2, constructing a unified data framework for describing input parameters of a multi-routing operation plan, and performing structured identification and data pre-processing; step S3, on the basis of transport capacity allocation objectives and requirements, establishing an operation plan optimization model which is universal to the routings and has variable input parameters, and calculating optimal time-phased plan result parameters which meet a condition; and step S4, setting up custom train numbers, matching the relationship between the custom train numbers and time-phased plans, and automatically generating a complete operation plan. Compared with the prior art, the present application has the advantages of simplifying the compilation process of operation plans, enabling easy expandability of an optimization model, meeting both a regularity condition and a customization condition, etc. Further provided are an automatic compilation system for multiple routing operation plans in rail transit, and a medium and an electronic device.

According to the state association database construction method and device, the storage medium and the computer equipment provided by the invention, when the database is constructed, the time synchronization control and accumulative error correction functions of the multi-source data acquisition system are firstly started, and low-power-consumption monitoring is performed on the target user through the system, so that the synchronism and accuracy of multi-source data acquisition are ensured; if an acquisition event meeting an event triggering rule occurs in the monitoring process, triggering a system to automatically acquire multi-modal data in a preset acquisition window, and performing associated feature mapping and cognitive tag matching on the data to form a multivariate data set with a clear data framework; the fine-grained modeling requirement of dynamic mapping of music-induced emotion and cognitive state is met; after system monitoring is finished, data quality verification and model adaptation verification are conducted on all the collected data sets, the data sets are stored in a preset multi-layer structure database in a layered mode after verification is passed, and therefore the formed state association database has high reliability and usability.

The invention relates to the technical field of spectrum detection equipment, and provides a linear array spectrum integrated assembly and a preparation method thereof, and the linear array spectrum integrated assembly comprises a microlens array layer, a linear gradual filter layer, a detector layer, a signal processing layer and a frame which are sequentially arranged along the incident light direction; the signal processing layer is fixed on the frame, and the microlens array layer is arranged on one side, far away from the detector layer, of the linear gradual filter layer; the micro lens array layer is used for converging incident light; the linear gradual filter layer is used for carrying out linear light splitting of 900 nm to 1700 nm on the converged incident light; the detector layer is used for converting the light signals after light splitting into electric signals; the signal processing layer is used for receiving the electric signal and preprocessing spectral data in real time; the frame is used for supporting and installing the signal processing layer, the detector layer, the linear gradual filter layer and the micro-lens array layer, thereby realizing an integrated packaging structure. According to the invention, miniaturization and high stability of spectrum detection at the wave band of 900nm-1700nm are realized.

The invention provides a current grounding fault direction judgment system and method, and relates to the technical field of fault recognition, and the method comprises the steps: integrating the feature codes of a fault region into a data set through a region module, marking region characters, transmitting the data set to a matching module, and carrying out the recognition of a current grounding fault. After the processing center receives the characters transmitted by the area module, the processing center enables the historical data block to integrate the historical fault data corresponding to the characters and the feature codes into a fault set according to the characters, enables the historical database to transmit the fault set to the matching module, and the matching module carries out data matching on the data set and the fault set. Through the system, the feature code of the fault area only needs to be compared with the fault set in the corresponding area in the historical data frame and does not need to be compared with all the fault sets in the historical data frame, the data comparison process is simplified, the fault data comparison efficiency is improved, and the fault point of line segment current grounding can be quickly positioned.

The embodiment of the invention provides a backup recovery method, electronic equipment, a storage medium and a program product. The feasibility of the recovery demand is ensured by clearly staying in a recoverable time period determined on the basis of historical total backup and incremental logs; the first full-amount backup with the backup ending time smaller than or equal to the target time and the minimum difference value is matched, the log interval is determined based on the target time and the global transaction identifier of the first full-amount backup, the corresponding incremental logs are screened, and the integrity and relevance of the incremental logs are ensured through the precise positioning mode; core data support is provided for subsequent accurate recovery; on the basis of the precise positioning, the first full-amount backup is recovered, the screened incremental log is played back, the full-amount backup constructs a basic data framework before the target time point, the incremental log supplements all data changes from the end of the full-amount backup to the target time point, and precise backup recovery of the target time point specified by the user is achieved.

A frame for a foldable and disposable air filter media is disclosed. The frame has a frame base and a frame cover having a size to overlap the air filter media. The frame cover is attached to the frame base by hinges allowing movement of the frame cover between an open position and a closed latched position. The closed frame holds the air filter media between the frame base and frame cover when in the closed position. The frame base includes an air flow monitoring system with an air pressure differential sensor to determine when the filter needs to be replaced. The frame also has capability to hold additional sensors for monitoring environmental conditions. A processor and memory enable collection and storage of sensed data. A communication module on the frame communicates air filter media change requirement to external devices including hand-held devices or a cloud server.

In a method for decoding point cloud media, point cloud media data including a plurality of point cloud samples encapsulated in one or more tracks is received. A compression unit of a point cloud sample in the plurality of point cloud samples is obtained. A media file data box of the point cloud sample includes type information that indicates a type of the compression unit. The type of the compression unit is one of a geometry header indicating a parameter set of geometry information, an attribute header indicating a parameter set of attribute information, a geometry slice indicating point cloud slice data of the geometry information, and an attribute slice indicating point cloud slice data of the attribute information. Whether the compression unit is to be decoded is determined according to the type information. The compression unit is decoded to obtain point cloud data based on the determination.

The application provides an offline model optimization method, device, equipment, storage medium and program product, and relates to the technical field of data processing. The offline model optimization method constructs weight distribution feature statistical results through each weight channel corresponding to each network layer in the to-be-optimized offline model, calculates the channel importance index and the target channel quantization factor corresponding to each weight channel based on the same data framework, realizes deep linkage and cooperation of weight quantization and channel pruning, further performs channel pruning and weight quantization optimization processing on the to-be-optimized offline model based on the channel importance index and the target channel quantization factor corresponding to each weight channel, can reduce the decision mismatch caused by the separation design of weight quantization and channel pruning, reduce the risk of deleting key weight channels by mistake, improve the adaptability of the reserved weight channels to low-precision representation, and significantly reduce the model precision loss, the model parameter quantity, the reasoning time consumption and the calculation amount without retraining.

The application discloses a power distribution network fault prediction method and system, and relates to the field of power distribution network fault prediction.The method comprises the following steps: collecting power fault data and preprocessing the power fault data to obtain a fault data set; constructing a time series prediction model based on the fault data set and fitting the time series prediction model; creating a data frame of a specified prediction time range based on the fitted time series prediction model; generating a prediction result based on the fitted time series prediction model and the data frame, and performing threshold analysis; comparing the prediction result with historical data, and formulating countermeasures; and the application is convenient for maintaining and preventing the power distribution network according to the predictability of the prediction result, reduces the fault rate of the power distribution network, and reduces economic and other losses caused by the fault of the power distribution network.

A device detects a trigger to toggle from a local mode to a query mode, the trigger detected based on input into a notebook interface relating to a dataframe. The device receives input of a query into a cell within the notebook interface, the query relating to the dataframe, and determines, based on having entered the query mode, to combine the query with a prior query from a prior cell within the notebook interface, resulting in generation of an combined query. The device executes the combined query with respect to a data warehouse, receives a command to perform a function with respect to the combined query, and determines, based on characteristics of the command, to execute the command using memory of the notebook interface. The device outputs, using the notebook interface, a graphical representation of results of the command, the results informed by the combined query.

The invention relates to a FastDDS-based rail transit distributed simulation method and system, and belongs to the technical field of rail transit simulation. The distributed simulation method comprises the following steps: a user control node sends a simulation start instruction to a simulation control node, and the simulation control node sends a simulation propulsion instruction to each simulation node; after each simulation node receives the simulation propulsion instruction, the simulation model in each simulation node synchronously performs simulation calculation, and sends a simulation propulsion request and simulation interaction data to the FastDDS framework after current step length calculation; the FastDDS framework sends a simulation propulsion request to a simulation control node, and sends simulation interaction data to a simulation node subscribing the data and a data collection node; and after the simulation control node receives the simulation propulsion requests of all the simulation nodes, the simulation control node sends simulation propulsion instructions to all the simulation nodes, and all the simulation nodes perform a new step of calculation by using the interaction data received by the previous step of simulation.

The invention relates to a feature extraction method, device and equipment based on an industrial triangular mesh model, and the whole scheme. According to the invention, connectivity analysis is carried out on the industrial triangular mesh model, a connected region can be rapidly divided, a clear data framework is provided for subsequent processing, unnecessary calculation is reduced, and the overall processing efficiency is improved; an angle limitation triangular surface adjacency list is generated based on connectivity analysis and preset normal included angle range limitation, invalid adjacency relations are accurately filtered, the data complexity is reduced, and the processing speed is further increased; boundary and vertex information is marked, so that boundary features are clear and definite, boundary recognition errors are avoided, and the accuracy of feature extraction is guaranteed; a boundary edge adjacency list is generated, continuous boundary edges are obtained, the topological structure of the model boundary is completely reserved, and a reliable basis is provided for shape feature extraction; finally, shape features extracted based on continuous boundary edges can highly restore geometric features of the model.

The application provides a data link optimization processing method and device. A directed acyclic graph is generated according to data link configuration, and data relationship in a data framework is represented based on the directed acyclic graph. The logic and order of data execution are completely controllable, and the implementation of the directed acyclic graph supports asynchronous and parallel execution of data. After the directed acyclic graph is generated, the to-be-processed data of a data processing service is input into a head node of the directed acyclic graph, so that each node performs corresponding data processing on the received data in a streaming order. Only when the data reaching the node triggers the running condition of the node, the relay unit controls the node to perform data processing. In this way, each node can maintain the streaming order of the directed acyclic graph in the data processing process. Even in the case of multiple data concurrency, the order of data processing can be ensured to comply with the directed acyclic graph configuration, and finally the final data processing result is obtained through a tail node of the directed acyclic graph.

The invention provides a burning calibration method and system for a voltameter chip. Comprising the steps that after verification of a target voltameter chip is passed and space erasing is completed, synchronous verification of burning and checksum is sequentially carried out on an APP area and a DataFlash area; respectively calculating a cell gain value and a battery pack gain value based on the current voltage acquisition value, and writing the cell gain value and the battery pack gain value into a first preset address to update the voltage calibration value; and verifying the validity of the current acquisition value in real time, calculating a current average value according to the current acquisition value based on a verification result, calculating a current gain value according to the current average value, and writing the current gain value into a second preset address to realize updating of the current calibration value. According to the invention, the data written into the chip can be ensured to be complete and accurate; and the current calibration accuracy and the direct connection success rate can be realized, and the reliability of current calibration is ensured.

This invention relates to the field of big data analytics, and more particularly to a method for optimizing the recycling process of waste lithium batteries based on big data analytics. The method includes: constructing a three-dimensional process game feature space to grasp information at each stage of the recycling process, mapping operational parameters and state variables within it to provide a data framework for subsequent analysis; constructing a dynamic process knowledge graph to present implicit dependencies between process nodes, clarifying the efficiency transmission strength and game balance coefficients, providing key basis for process optimization; efficiently identifying key process nodes through counterfactual efficiency perturbation simulation, generating counterfactual adjustment paths for operational parameters, and providing adjustment directions for actual operation; ensuring the accuracy and standardization of operational parameter adjustments by extracting correction amounts based on the adjustment paths and formulating adjustment instructions; and dynamically updating the dynamic process knowledge graph through counterfactual path deviation coupling analysis to improve the stability and efficiency of the recycling process.

The invention provides a data link optimization processing method and a data link optimization processing device, a directed acyclic graph is generated according to data link configuration, a data relationship in a data framework is represented based on the directed acyclic graph, the logic and sequence of data execution are completely controllable, and the implementation of the directed acyclic graph supports asynchronous and parallel execution of data. And after the directed acyclic graph is generated, inputting to-be-processed data of the data processing service into a head node of the directed acyclic graph, so that each node executes corresponding data processing on the received data according to a streaming sequence. Only when the data arriving at the node triggers the operation condition of the node, the relay unit controls the node to execute data processing, so that each node can keep the streaming sequence of the directed acyclic graph in the data processing process, the data processing sequence and rule can be ensured to conform to the directed acyclic graph configuration even under the condition of multi-data concurrence, and the data processing efficiency is improved. And finally, obtaining a final data processing result through a tail node of the directed acyclic graph.

To efficiently verify a control logic including a large number of logic elements without requiring an environment in which a dedicated application is installed.SOLUTION: The present disclosure relates to a control logic analysis device for analyzing a control logic for performing automatic control of plant equipment. The control logic analysis apparatus obtains binary data corresponding to the control logic, and converts the binary data into natural language data by performing decoding processing on the binary data. Based on the converted natural language data, a data frame in which logic element information on logic elements included in the control logic is listed is created.SELECTED DRAWING: Figure 3

The present disclosure provides a method for processing photomask layout data, including: providing initial framework layer data and chip layer data, the chip layer data being used to define a chip layer, the chip layer including a chip target area having a pattern; the initial framework layer data being used to define an initial framework layer, the initial framework layer including a framework target area and a framework dummy area, the framework dummy area including a first area surrounded by the framework target area, the first area being directly opposite the chip target area, and the pattern of the initial framework layer being located in the framework target area and the framework dummy area, or only in the framework target area; obtaining framework layer data based on the initial framework layer data, the framework layer data being used to define a framework layer, the framework layer being an initial framework layer that retains only the pattern located in the framework target area; and obtaining layout layer data based on the framework layer data and the chip layer data. The present disclosure at least helps improve the accuracy of layout layer data.

The invention provides an intelligent power device safe working area testing device and system for realizing data judgment, and relates to the technical field of power device testing, and the intelligent power device safe working area testing device comprises a first testing module for determining a current boundary value, and a second testing module for obtaining characteristic data, the data frame selection module is used for determining normal state feature data based on a recursive expansion density clustering algorithm and an expert scoring method introducing random numbers, the data expansion module is used for expanding data based on the normal state feature data, and the data simulation module is used for capturing the relation between the feature data and outputting a safe working area in combination with a safe working standard. According to the method, abnormal values are eliminated through a recursive expansion density clustering algorithm and an expert scoring method for introducing random numbers, so that the accuracy of subsequent analysis of the safe working area is improved, the actual test workload is reduced through cooperative setting of the adversarial network and the data simulation module, and the test efficiency of the safe working area is improved.