32 results about "Calculated result" patented technology

The present disclosure provides a sheet data processing method, a computer device, and a storage medium. The method includes: obtaining input data in a sheet, and determining at least one calculation formula affected by the input data; determining basic data corresponding to the calculation formula according to a node backend service, and writing the input data and the basic data into a calculation engine; determining a data list affected by the calculation formula by using the node backend service, and passing the calculation formula to the calculation engine to calculate the data list, to generate a calculation result; determining, according to the calculation result, a data item in the data list that changes after the calculation, and performing data updating on the data item; and displaying an updated data list in the sheet.

The application relates to a case data statistical analysis method for the judicial field, and belongs to the technical field of computer big data. The application organizes judicial case data by using a wide table model in the field of data warehouses, finally forms a case data wide table model and a personnel data wide table model, adopts an open source data calculation and storage framework ClickHouse calculation engine, adopts a dynamic template method to define a statistical analysis model, when statistical analysis is performed, an analysis model template is combined with analysis parameters to dynamically and timely generate a corresponding analysis script, the analysis script is submitted to the calculation engine, calculation and analysis are completed by the calculation engine, and the calculation result is normalized and then transmitted back to a calling party. The overall design idea of the application greatly improves the flexibility of judicial case data in the analysis process.

The embodiments of this disclosure generally relate to the field of data analysis technology, specifically to a task processing method based on the R Shiny application, a Shiny server and client for processing tasks, a computer program, and an electronic device. The server method includes, in response to receiving a submitted task from the Shiny client, creating a task entry corresponding to the task in a task database, and configuring the task status of the created task entry to a first state. The method further includes polling the task database to initiate one or more tasks corresponding to one or more task entries in the task database whose task status is in the first state, and configuring the task status of the initiated task's corresponding task entry to a second state. The method also includes, in response to task completion, configuring the task status of the task entry corresponding to the completed task in the task database to a third state. This method can prevent the loss of calculation results when the current browser page is closed or refreshed.

This invention discloses a data interaction method, system, device, and storage medium based on blockchain. The blockchain includes data owner nodes. Data requester nodes upload their data requests to the blockchain. After verifying the data request, the target data owner node encrypts the target data required by the data requester node and divides the encrypted target data according to the task allocation method in the data request. It then performs calculations on the first encrypted sub-data based on the calculation method in the data request, and sends the calculation result of the first encrypted sub-data and a second encrypted sub-data to the data requester node. The data requester node performs calculations on the second encrypted sub-data, merges and decrypts the calculation results of the first and second encrypted sub-data, and finally obtains the calculation result of the target data. The transmitted data is encrypted, and the calculation task can be undertaken by two nodes, improving computational efficiency and the security of data interaction.

The application provides a market risk capital evaluation method and system, and the system comprises: an input interface module, which is used for obtaining transaction level sensitivity calculation results, sudden default risk net position, and nominal principal and risk weight of each transaction; a sensitivity capital decomposition module, which is used for realizing capital decomposition of risk capital based on sensitivity by using Euler decomposition based on the transaction level sensitivity calculation results; a default risk capital decomposition module, which is used for realizing capital decomposition of default risk capital by using Euler decomposition based on the sudden default risk net position; a residual risk capital decomposition module, which is used for realizing capital decomposition of residual risk capital based on the nominal principal and risk weight of each transaction; and an evaluation module, which is used for evaluating the contribution of each investment portfolio or sub-investment portfolio in total risk capital based on the capital decomposition results of the sensitivity method, the capital decomposition results of the default risk capital and the decomposition results of the capital decomposition of the residual risk capital.

The application provides a salary automatic payment system based on a smart contract, relates to the technical field of computer data processing, and first introduces an adaptive context anomaly detection mechanism based on group statistical characteristics, dynamically identifies anomalies by evaluating the relative position of data points in the group distribution, and effectively solves the high misjudgment and missed judgment problem of data cleaning in a complex correlation scene. On this basis, the scheme encapsulates the calculation process containing sensitive salary logic in an off-chain security sandbox, only generates a zero-knowledge proof of calculation without private information and a clear payment list. The on-chain smart contract does not need to touch the original data or the calculation model, and only needs to prove the validity through mathematical verification to confirm the correctness of the calculation result, thereby realizing the trustless verification of complex salary calculation logic and the automatic and accurate distribution of funds on the premise of completely shielding commercial secrets and personal privacy.

This application discloses a statement processing method, apparatus, device cluster, and storage medium, belonging to the field of computer technology. The method includes: adjusting the first description information to obtain second description information, where at least two first SQL operators described in the first description information include the same first UDF, and the function calculation results of the first UDF in the at least two first SQL operators should remain the same. The first operators in the second description information are executed before the second SQL operators. The first operators are used to calculate the first UDF, and the second SQL operators are used to call the function calculation results of the first operators. The second SQL operators are obtained by adjusting first SQL operators that are different from the first operators. The database is then operated based on the second description information. The second SQL operator including the first UDF can directly call the function calculation results of the first operator without repeatedly calculating the first UDF, resulting in high execution efficiency of the SQL statement.

The application discloses a privacy set intersection cardinality determination method for civil aviation risk coordination investigation, and relates to the fields of information security and aviation technology. In the method, a first server and a second server acquire a first key share and a second key share respectively; a providing end interacts with each element in a first data set held by the providing end based on a context identifier, and generates a first label set; a querying end interacts with each element in a second data set held by the querying end based on the context identifier, and generates a second label set; the first server and the second server obtain a first calculation result share and a second calculation result share based on the first key share, the second key share, the first label set and the second label set; and the querying end reconstructs an intersection cardinality according to the obtained calculation result share. The application solves the technical problems of high compliance risk of cross-institution data sharing and poor information security in the civil aviation risk coordination investigation scene in the prior art.

The application provides a financial product index calculation method and device and related products, and relates to the technical field of data processing. The method comprises the following steps: receiving a financial product index calculation request; if the request involves at least two financial products, the request is packaged as a parent task and sent to a first message queue; a first type of calculation node obtains the parent task from the first message queue, splits the parent task into at least two subtasks, and sends the subtasks to a second message queue; a second type of calculation node obtains the subtasks from the second message queue, and performs index calculation based on index calculation parameters; the first type of calculation node monitors a result storage layer, and when the calculation results of all associated subtasks are stored, the first type of calculation node performs summary processing to obtain a summary result and stores the summary result; and the summary result is returned to a user end. According to the application, physical isolation and parallel processing of parent tasks and subtasks are realized through double message queues, task blocking and deadlock risks are effectively avoided, and the efficiency of large-batch financial product index calculation and system resource utilization are significantly improved.

This application relates to the field of data processing technology and discloses a method and system for adaptive fusion processing of streaming and batch data sources for heterogeneous data sources. The method includes: dividing the input data stream into data blocks; extracting arrival rate, second-order change, and disorder degree, and weighted fusion to obtain a turbulence index; mapping the data blocks to obtain processing intent labels using a decision matrix and attaching them to the data blocks to obtain labeled data blocks; reading the execution mode routing to the corresponding engine, and having a fusion coordinator drive cross-engine collaboration to obtain calculation results and actual execution metric data; and after fine-tuning the time-series prediction model online using a confidence-weighted loss function, updating the gradient contribution ratio inversely to the weighted fusion weight coefficients. This application improves the real-time performance and adaptive accuracy of processing mode decisions in heterogeneous data source scenarios.

The application discloses a bus data backhaul method and system, electronic equipment and a storage medium. The method comprises the following steps: collecting layers to capture each CAN bus message generated by a vehicle in real time; screening the CAN bus message containing a pre-configured target signal from the CAN bus message, and sending the CAN bus message to a trigger calculation backhaul layer and storing the CAN bus message in a hard disk; the trigger calculation backhaul layer uses corresponding trigger operators to calculate the target signal in each CAN bus message received, and generates trigger information entries of each CAN bus message in which the calculation result satisfies the corresponding trigger condition in a database; the trigger calculation backhaul layer extracts the trigger information entries of the unbackhauled CAN bus message in sequence, and finds the corresponding CAN bus message from the hard disk according to the extracted trigger information entries; and the trigger calculation backhaul layer returns the found CAN bus message to a vehicle cloud communication layer, so as to upload the returned CAN bus message to the cloud.

The application provides a legal case data calculation method and device, a computer readable medium and an electronic equipment. The method comprises the following steps: obtaining a data extraction configuration file and a calculation rule configuration file, wherein the data extraction configuration file defines the type of structured concept data to be extracted, and the calculation rule configuration file defines the calculation rule; based on the data extraction configuration file, a large language model is called to perform data extraction on target legal case materials to obtain structured concept data related to data calculation; and based on the structured concept data, numerical calculation is performed according to the calculation rule configuration file to obtain a final calculation result. The user can efficiently, quickly and accurately calculate the required data in the legal case, thereby improving work efficiency.

This invention relates to the field of data processing, specifically to a customer tagging and segmentation method and system, comprising: S1: obtaining a segmentation expression; S2: converting the segmentation expression into a postfix expression; S3: parsing the postfix expression, identifying the basic operators in the postfix expression, and marking reusable operators; S4: generating a segmentation task based on the parsing results, wherein the segmentation task includes one or more structured query language statements; wherein, for basic operators marked as reusable, the historical calculation results of the basic operator are directly referenced when generating the structured query language statement, and for basic operators not marked as reusable, a query statement for the original tag data involved in the basic operator is generated; S5: executing the segmentation task to obtain a target audience list. This invention addresses the problems in existing technologies where customer tagging and segmentation operations are highly dependent on technical personnel, business personnel cannot independently complete complex segmentation needs, and computational resources cannot be effectively reused, leading to high costs.

The application discloses a controllable intelligent photovoltaic management platform and belongs to the technical field of photovoltaic power stations. The platform comprises a data access module, a data storage module, a data calculation module, a mining analysis module, a data visualization module and a data management module. The data access module is used for providing data input for the whole platform. The data storage module is used for receiving data sent by the data access module and storing the data. The data calculation module is used for carrying out offline calculation, task development and task scheduling according to the data in the data storage module and generating data calculation results. The analysis mining module is used for carrying out analysis mining according to the data of the data calculation module and obtaining analysis mining results. The data visualization module is used for displaying the analysis mining results. The application adopts a distributed architecture and can realize data integration, real-time data processing, big data storage and management, data visualization and analysis and rapid response to various changes in a production process.

This application discloses a method, apparatus, and system for rapid response and automatic review of claims, addressing the problem that computer systems cannot automatically and rapidly respond to claims events triggering the generation of payout calculation results. The method includes: receiving a claims case identifier; acquiring its multi-dimensional risk characteristic data; determining whether the case belongs to a low-risk category that can be automatically processed through a risk stratification model based on a configurable rule set; if so, then executing intelligent claims processing and integrated risk control in parallel, i.e., determining the payout amount based on policy and claim information matching rules, while simultaneously comparing the case data with a dynamically configured risk rule set in real time; if the risk control passes, automatically outputting a review instruction. This invention achieves full-process automation of life insurance claims processing from risk stratification and intelligent claims processing to real-time risk control, significantly improving processing efficiency and accuracy while strictly ensuring risk and compliance.

The invention provides a data resource processing method, device and system. The method belongs to the technical field of data processing. According to the method, firstly, a to-be-scored data set is constructed according to data resource information from different users, and the construction process of the scored data set does not involve cross-domain circulation of original data, so that the risk of data leakage caused by data out-of-domain is fundamentally avoided. Then calculating the to-be-scored data set based on a privacy calculation algorithm to obtain a privacy calculation result, and calculating to obtain a multi-dimensional scoring factor of the to-be-scored data set based on the privacy calculation result and the data resource information of the target user, thereby covering different dimensions such as data magnitude, data validity, data authenticity, data security and the like; the comprehensive value of the data can be better reflected, and the accuracy of the scoring result is improved. And finally, sending the to-be-scored data set and the corresponding multi-dimensional scoring factor to a server, so that the server calculates the score of the to-be-scored data set according to the multi-dimensional scoring factor.

The application discloses a financial risk identification method and device based on a dynamic knowledge graph, equipment and a medium, relates to the technical field of financial risk prevention and control, and comprises the following steps: collecting target financial data in real time through a preset distributed data collection architecture and performing deduplication filtering to obtain an initial financial data set; performing standardization processing on the initial financial data set and performing knowledge fusion through a target entity disambiguation algorithm to obtain a standardized financial data set; after it is determined that a preset update condition is met, updating a preset financial knowledge graph based on the standardized financial data set and using an incremental learning algorithm; performing correlation mining between entities for the updated financial knowledge graph and determining a correlation risk weight to construct a correlation risk network; performing risk transmission calculation on the correlation risk network by using a preset risk transmission calculation model, performing risk identification based on the risk transmission calculation result and through a preset risk identification model, and outputting a risk identification report.

The application discloses a multi-dimensional customer label-based attribution analysis method and device, equipment and a computer program product. The method comprises the following steps: acquiring user data; performing multi-dimensional customer label classification processing and summarizing on the user data according to a time dimension to obtain processed user data; acquiring attribution analysis parameter information required by a business; calculating attribution indexes according to the processed user data and the attribution analysis parameter information to obtain a calculation result of the attribution indexes; and performing attribution analysis according to the calculation result of the attribution indexes to obtain an attribution analysis result. The application realizes dynamic correlation analysis on multi-dimensional customer attribute and behavior data. The attribution index calculation and analysis are combined with the processed user data and the attribution analysis parameter, so that key factors influencing business index changes can be located, and scientific and accurate decision support is provided for financial institutions in market promotion, customer service optimization and the like.

This application provides a method, apparatus, device, medium, and product for querying indicators from multiple data sources. It relates to the field of data processing technology. The method includes: responding to a received indicator query request; obtaining preset configuration information and query condition information corresponding to the indicator to be queried based on the indicator query request; the preset configuration information includes at least one calculation unit configuration and at least one database table configuration; generating query units corresponding to each calculation unit configuration based on the calculation unit configuration and query condition information; obtaining query results from the corresponding data source based on the query units; and performing calculation operations on the query results according to the preset calculation method in the calculation unit configuration to generate the calculation result corresponding to the indicator to be queried. This application achieves joint calculation across data sources by decomposing the indicator to be queried into calculation unit configurations, corresponding to individual query units, and then combining them using preset calculation methods to generate complex indicators.

The application relates to the technical field of CRM systems, and relates to a performance evaluation method and system.The performance evaluation method comprises the following steps: S1, data acquisition, S2, index calculation, S3, result display, and S4, management decision.The application constructs a three-dimensional quantitative index system of process+result+industry characteristics, integrates process-type indexes such as customer follow-up frequency and project stage promotion rate, result-type indexes such as single amount achievement rate, repayment timeliness, and building industry characteristic indexes such as supply chain docking satisfaction and project node compliance rate into a unified evaluation framework, completely changes the limitation that the prior art only focuses on result-type indexes, makes the performance evaluation cover core value links of the whole sales process, and is suitable for the characteristics that the building industry has a long project cycle and multiple departments are linked, the performance evaluation is more comprehensive and objective, and the problem of one-sidedness of indexes in the prior art is solved.

The application provides a log function lookup table method based on a float data format, which utilizes the storage format of floating point data to quickly calculate the value of log2 through lookup table; the method comprises the following steps: S1, a data separation stage: separating the input floating point base and exponent; only the base is subjected to lookup table; S2, a lookup table construction: constructing a lookup table, wherein each entry comprises a floating point number and a corresponding pre-computed result; S3, a quick retrieval: when the result of a certain floating point number needs to be calculated, the corresponding pre-computed result is directly retrieved in the lookup table, thereby avoiding complex floating point number calculation. Through the method, the precision loss can be effectively overcome, the accuracy of the calculation result is avoided to be affected, and the precision is higher than that of general direct lookup table. The calculation speed of projects such as image processing, scientific calculation and financial analysis can be effectively improved, and the system efficiency is improved.

The application provides a hotel data security storage and privacy calculation system, relates to the technical field of data security, and solves the technical problem that in the prior art, in the data utilization process, the user privacy security and business data value mining cannot be compatible due to the centralized storage of original sensitive data and plaintext calculation. The system comprises: a data acquisition module for acquiring user original data and data application requests; wherein the user original data comprises identity information, consumption data and behavior data; a decentralized storage module for encrypting and dispersively storing the user original data in multiple independent storage nodes; a privacy calculation module for responding to the data application request, performing collaborative calculation through coordination of multiple storage nodes, and obtaining a calculation result; and a data service interface module for safely outputting the calculation result to a hotel business application end. The application is used in the hotel data management process.

Provide a system. 【Solution means】 Means for collecting and learning tax-related legal information, Means for obtaining financial information from users, Means for extracting judgment points necessary for tax calculation based on the obtained financial information, Means for notifying users of judgment points and receiving instructions, Means for calculating the final tax amount and performing declaration, payment, and refund, Means for notifying users of the calculation results, Means for automatically generating financial records using video information obtained by a photographing device, Means for encrypting and securely transmitting the obtained financial records, Means for analyzing the applicability of preferential tax systems based on the aggregated financial information, A system including the above.

This application relates to the field of data processing technology, and in particular to a method for locating the source of anomalies in an indicator platform based on the financial and tax field, and an indicator platform. The method includes: upon receiving a user's query instruction for a target indicator report, obtaining a pre-established full-link data lineage graph based on the target indicator report identifier in the query instruction, and obtaining the display results corresponding to the target indicator report based on the full-link data lineage graph; each lineage node in the full-link data lineage graph is used to represent the corresponding data calculation and processing step, and is associated with the operator rules for executing the data calculation and processing steps; the starting lineage node of the full-link data lineage graph is associated with pre-acquired raw data and corresponding type labels; the display results are the indicator calculation results corresponding to different dimensions obtained by executing each data calculation and processing step sequentially according to the data flow dependency relationship based on the raw data associated with the starting lineage node in the full-link data lineage graph.

The application discloses a business data report query method and device, equipment and a storage medium, and the method comprises the following steps: obtaining the original query semantics corresponding to the published report, wherein the original query semantics are generated by the published report when being published; rewriting the original query semantics according to preset equivalent rewriting rules to obtain pre-computed query semantics and running query semantics; performing a pre-computation task on the original data table according to the pre-computed query semantics to generate a pre-computed result table; and in response to a report query request of the published report by a user, obtaining a query result from the pre-computed result table according to the running query semantics. Since the original query semantics can be split into pre-computation and running two parts, the pre-computed result table is generated in advance, so that real-time full-scan and aggregation of the original data table are not required at runtime, thereby reducing the real-time computation overhead of the report query and shortening the query response time.

This application discloses a management method and system for improving the accuracy of pig farm production data. The method includes: acquiring sow production records; constructing individual digital twin objects of sows based on standard events; and establishing state transition rules corresponding to the sow's production stages; aggregating standard events according to standard sow identifiers; generating a candidate event set and a candidate event chain diagram based on the state transition rules; performing path solving on the candidate event chain diagram to obtain the sow's main event chain; identifying state gaps between adjacent events based on the sow's main event chain and generating corresponding inferred events; updating the individual digital twin objects of sows based on the sow's main event chain and inferred events; and outputting the corrected business timeline and management indicator calculation results based on the updated individual digital twin objects of sows. This invention is applicable to the consistent processing of multi-source production data in sow farms.

The application is suitable for the technical field of financial data processing, and provides a financial data processing method, device and program product. Specifically, the method comprises the following steps: obtaining a financial statement file, wherein the financial statement file comprises a first item name; determining a second item name corresponding to the first item name, wherein the second item name comprises an item name matched with the semantic of the first item name in preset financial item information; obtaining first financial data corresponding to the second item name from the financial statement file; calculating a preset financial index based on the first financial data; and analyzing the calculation result of the financial index. The implementation of the application is beneficial to improving the efficiency and accuracy of financial data processing.

This invention discloses a harmonic responsibility allocation method considering the asynchronicity of monitoring data and harmonic impedance changes. The method includes: preprocessing the harmonic monitoring data to obtain preprocessed harmonic monitoring data; aligning the asynchronous feeder harmonic current data and bus harmonic voltage data in the preprocessed harmonic monitoring data to obtain aligned harmonic monitoring data; dividing the aligned harmonic monitoring data into data clusters for different scenarios; and then using correlation analysis to allocate harmonic responsibility based on the data in each cluster. This invention avoids the inaccuracy of calculation results caused by directly using raw data for harmonic responsibility allocation; based on the DTW algorithm matching, the ShapeDTW algorithm is used to incorporate the local shape information around the sequence points into the dynamic programming matching process to achieve data matching and alignment; and considering the impact of system harmonic impedance changes on harmonic responsibility allocation, thus avoiding doubts about the rationality and applicability of the harmonic responsibility allocation results.