480 results about "Calculated result" patented technology

The invention provides a credible sharing method and system for multi-party industrial data, and relates to the technical field of data processing, and the method comprises the steps that multiple participants encrypt local industrial data through a credible execution space, and generate encrypted data and corresponding data fingerprints; defining a data access rule based on the smart contract; verifying and auditing the data access request, and obtaining an encrypted data authorization certificate after verification and auditing; and under the federated learning framework, the trusted execution space of each data provider executes the privacy calculation task based on the authorization certificate, and outputs a task calculation result and sends the task calculation result to the task requester. According to the method and the device, the technical problem of privacy risk of data leakage or tampering caused by contradiction between multi-party industrial data sharing and privacy protection is solved, the privacy can still be ensured while data sharing is ensured through federated learning and trusted execution space, and the security and the credibility of data sharing are improved.

The invention relates to the technical field of data linkage calculation, and provides a multistage document dependent freight trial calculation data linkage calculation method and system, and the method comprises the steps: expanding the attribute of a document node from a single business field to a composite vector containing a spatial-temporal feature through time information and geographic identification spatial-temporal dimension modeling; the dependency graph can capture the fine-grained dependency relationship of the freight service, and the space-time accuracy of data linkage is improved; when the basic information or the document information changes, the priority and the calculation path of the task queue are updated in real time through deep reinforcement learning, and calculation errors caused by change lag are avoided; through tensor synthesis operation, parallel subtask division, and a dual verification mechanism of a domain knowledge graph and a forced dependency edge, it is ensured that the whole process from dependency graph construction to calculation result output conforms to industry specifications, and the compliance and risk control ability of freight services are significantly improved.

The invention relates to the technical field of data processing, and discloses an intelligent agent evaluation method and system, and the method comprises the steps: analyzing key factors and performance indexes of an intelligent agent in different combat environments, determining evaluation indexes, and constructing an evaluation index system; setting parameters and algorithms of the evaluation model, and configuring an association relationship between the evaluation model and the evaluation index system; gaming deduction data and agent decision data are collected, and evaluation calculation data are generated and stored; in response to the evaluation calculation data, configuring evaluation calculation parameters, calling the evaluation model to calculate the evaluation calculation data, and recording an evaluation calculation result; and in response to the evaluation calculation result, generating an evaluation report framework, integrating the evaluation calculation data and the corresponding evaluation calculation result into the evaluation report framework in a visual form, and outputting an evaluation report. According to the invention, standardization and systematization of the evaluation process are realized, scientificity and accuracy of evaluation are improved, and efficiency and accuracy of data processing are improved.

The invention discloses an enterprise carbon accounting method based on a block chain, and the method comprises the steps: collecting carbon emission related data in real time based on the Internet of Things, and uploading the carbon emission related data to the block chain; based on an on-chain smart contract, performing multi-dimensional cross comparison and analysis on the carbon emission related data to identify and correct data abnormality or error existing in the carbon emission related data; according to the dynamic factors, a dynamic carbon accounting model is adjusted in real time so as to calculate carbon emission related data; and according to a calculation result, a block chain excitation compatibility mechanism is constructed, and the excitation compatibility mechanism encourages an enterprise to upload real carbon emission data. According to the embodiment of the invention, through fusion of the Internet of Things and the block chain, multi-dimensional cross-comparison analysis of enterprise carbon emission related data and dynamic updating of the carbon accounting model are realized, an incentive compatibility mechanism is constructed to encourage the enterprise to participate, transmission data distortion is effectively avoided, timeliness, accuracy and integrity of data uploading are ensured, and the data uploading efficiency is improved. And the enthusiasm of the enterprise to participate in carbon accounting is improved.

The invention discloses a carbon metering system based on cloud pipe edge end cooperation. The carbon metering system comprises a carbon metering terminal, a carbon metering safety pipeline, a carbon metering edge cloud and a carbon metering center cloud. The carbon metering edge cloud comprises an enterprise end edge cloud, a government supervision mechanism end edge cloud, a third-party certification mechanism end edge cloud and a financial mechanism edge cloud which are nodes in a block chain distributed account book; the carbon metering edge cloud stores real-time carbon emission source original data in a distributed account book and upwards migrates the real-time carbon emission source original data to the carbon metering center cloud, the carbon metering center cloud takes the original data as a sample to regularly train a carbon metering algorithm model, if the difference of trained model parameters exceeds a preset threshold value, training parameters are updated, and if the difference of the trained model parameters exceeds a preset threshold value, the carbon metering algorithm is updated; and the model and the new parameters are issued to the carbon metering edge cloud, the carbon metering edge cloud timely updates the calculation parameters for accounting, and the calculation result is issued to complete real-time display. According to the scheme, the balance between resource allocation and calculation is optimized, the scheduling is flexible, and the response is fast.

The invention discloses a supply chain material data management method and a data management system, and particularly relates to the technical field of data management. Through collecting and centrally storing material data of each link of a supply chain, an inventory turnover rate and residence time are analyzed, a safe inventory level is evaluated, and a purchase plan and inventory control are optimized. In order to solve the possible problem that inventory data is not updated in time or input errors occur, interference of the inventory data on inventory turnover rate calculation is evaluated through real-time analysis and abnormal input monitoring, and the accuracy of the inventory data is ensured; according to the method, the accuracy of the inventory turnover rate calculation result is divided into high, medium and low accuracy levels, and corresponding processing is carried out, so that purchase, production and supply chain decisions of enterprises are optimized, strategic decision errors are reduced, and the overall efficiency and response capability of a supply chain are improved.

The invention relates to the technical field of information processing, in particular to a charge application approval settlement dynamic configuration method and device, equipment and a storage medium, and the method comprises the steps: carrying out the dynamic configuration of a charge application instruction based on a preset business rule, and generating an application form meeting the business demands according to the configuration information; all links in the application, approval and settlement process are rapidly adjusted, the flexibility and adaptability of the system are improved, the process is simplified, integrity and legality verification is carried out on the application form, intelligent verification processing is achieved, manual intervention and the error rate are reduced, the automation degree is improved, and the efficiency is improved. The approval process of the application form is triggered according to the preset approval rule, cost calculation is performed according to the preset settlement rule, payment processing is performed according to the calculation result, the efficiency of cost application, approval and settlement is improved, and then the user satisfaction is improved.

The invention relates to the technical field of data processing, and discloses a method, device and equipment for constructing a lightweight data warehouse based on an MPP architecture, and the method comprises the steps: collecting data in a plurality of mainstream databases through a DataX collection assembly, and writing the collected data into a Dores data lake to obtain offline data; the method comprises the following steps: acquiring data of a plurality of data sources through a RoutingLoad component and a Kafka component, and writing the data into a Dores data lake to obtain real-time data; establishing a data hierarchical structure; performing calculation and analysis processing to generate a data calculation result; constructing a data asset catalog based on a metadata system of a Dores data lake to perform classified management of libraries, tables and fields; the data service interface is constructed based on the data asset directory, the BI report tool is connected with the data service interface to generate the data analysis report, and the data calculation result and the data analysis report are output to the outside, so that the construction and maintenance cost of an enterprise is reduced, and the requirements in a big data environment can be better met.

The invention discloses an abnormal data positioning method and device, equipment, a program product and a storage medium, belongs to the field of redundant arrays of independent disks, is used for positioning a disk where abnormal data is located in a stripe, and solves the problem that the disk where the abnormal data is located cannot be positioned. In consideration of the fact that in a target stripe with abnormal data, if a check chain with a zero calculation result exists, it is indicated that each business data block is normal, and at the moment, a disk corresponding to a check chain with a non-zero calculation result is a disk where the abnormal data is located, so that the target stripe with the abnormal data can be subjected to the non-zero calculation, and the abnormal data can be stored in the target stripe. According to the method and the device, the check chain calculation result of each check chain is determined, and if the check chain calculation result part is zero, the disk corresponding to the check chain of which the calculation result is not zero can be used as the disk where the abnormal data is located, so that the disk where the abnormal data is located can be efficiently and accurately positioned, the abnormal data can be conveniently recovered, and the user experience is improved.

The invention discloses a heterogeneous marketing strategy evaluation method based on payment transaction data, and relates to the technical field of causal inference. The method comprises the following steps: constructing a data table between merchant transactions and operation conditions according to payment transaction data of merchants; the data table comprises observation data corresponding to a covariable, a processing variable, a tool variable and a result variable; constructing a first estimator and a second estimator according to the observation data of the covariable, the tool variable and the processing variable; according to all the observation variables, the first estimator and the second estimator, obtaining a third estimator used for representing a real condition average processing effect; inputting the covariable data of the to-be-evaluated merchant into a third estimator to obtain a real condition average processing effect calculation result; the real condition average processing effect calculation result is used for representing the influence of the stored value marketing activity on the operation condition of the merchant belonging to the corresponding operation classification. According to the method, the influence of invalid tool variables in marketing strategy evaluation can be solved.

A data traceability method, apparatus and related device, relating to the database field, the traceability method comprising: a data traceability system obtaining a traceability request, the traceability request being used for requesting to search for a reason for an abnormality of a to-be-traced record in a result table; the traceability request comprises a traceability parameter, the result table comprises a traceability field, a field value of the traceability field comprises one or more table identifiers and a screening condition corresponding to each table identifier, and the result table is obtained based on a source data table corresponding to the one or more table identifiers; the traceability parameter comprises a field value of a traceability field corresponding to the to-be-traced record; the data traceability request determines a traceability statement according to the traceability request, and executes the traceability statement to determine an abnormal reason corresponding to the to-be-traced record. By recording the traceability field in the result table, when the calculation results related to a large number of data tables and a large number of calculation processes are abnormal, the cause of abnormality can be quickly positioned, and the efficiency of data analysis and abnormality processing is improved.

The invention relates to the technical field of confidential computing, and discloses a data credibility-oriented vehicle-mounted integrated security computing system and credibility construction method, which comprises the following steps of: establishing a static trust chain by using a hardware trust root, shielding external interruption in a credible execution environment, and controlling a performance monitoring unit; synchronously collecting real-time hardware micro-architecture events of the key business algorithm to generate a runtime feature vector; according to the method, the instruction stream during operation is anchored by utilizing the physical characteristics of the micro-architecture, the hijacking attack of the control stream is accurately identified in a ciphertext environment, the hijacking attack of the control stream is accurately identified, the hijacking attack of the control stream is accurately identified, the hijacking attack is accurately identified, and the hijacking attack of the control stream is accurately identified. Strong coupling verification of a calculation result and an execution behavior is realized, and logic safety of a vehicle-mounted platform is ensured.

The invention provides a data processing method and device and a cluster. The method comprises the following steps that: a reading operator reads service data from a data source end of a service; reading data required by the operator for identifying calculation logic of the business in the business data to obtain data required by calculation; wherein the data required by calculation comprises first data required by the first calculation logic; the reading operator sends the data required for calculation to the first calculation operator, so that the first calculation operator calculates the first data based on the first calculation logic to obtain a calculation result; and the output operator outputs a processing result of the service to a data target end of the service based on the calculation result and the service data. According to the method, the data volume stored in the state of the calculation operator can be reduced and the memory of the calculation operator can be saved while the normal processing of the service is ensured.

The embodiment of the invention provides a mining factory aided design method and system, and the method can obtain design demand data input based on a browser page canvas, and builds a target process model according to the design demand data. Wherein the target process model comprises a general model and a special model. And calculating process flow data based on the target process model, executing equipment type selection calculation according to the process flow data, generating a calculation logic diagram, and mapping the calculation logic diagram into a process flow diagram. According to the method, process modeling and process calculation can be quickly carried out, and a special model conforming to the industrial computer theory is supported to be built, so that modeling and calculation are simpler and more efficient. Meanwhile, a calculation result and a model can be conveniently applied, equipment type selection calculation and process flow diagram output are carried out, unification of models and data in all links is achieved, and the design efficiency of a mining factory is improved.

The invention provides a data processing method, which comprises the following steps of: acquiring first event data, creating a first trigger for indicating first window withdrawing time for the first event data, and executing data calculation based on the event data in a first time window to obtain a first calculation result for updating a database and outputting the first calculation result; wherein the event data in the first time window comprises the first event data. When the first window withdrawing time indicated by the first trigger is reached, data calculation is executed based on the event data in the second time window, a second calculation result used for updating the database is obtained and output, and the event data in the second time window does not comprise the first event data. Therefore, when the first event data expires, the event data in the second time window is triggered to update the calculation result in the database, so that the accuracy of reading the calculation result from the database is improved. In addition, the invention also provides a corresponding data processing device and related equipment.

The invention relates to the technical field of databases, and particularly provides a streaming computing method and device for a distributed database, and the method comprises the following steps: S1, receiving time sequence data change captured by a CDC component in real time, and storing the time sequence data change in a local cache; s2, performing stream aggregation calculation of stream calculation; s3, receiving a calculation result of stream calculation, converting a result set into a target table compatible format, and writing data into a target table by using an internal actuator; s4, processing existing historical data during stream calculation creation, breakpoint data generated during a stream calculation pause period and expired data exceeding a time sequence data out-of-order window; and S5, managing the life cycle of the flow calculation in the distributed database cluster. Compared with the prior art, the method has the advantages that the streaming calculation of the time series data of the database can be efficiently completed, the recalculation of the window split data is efficiently completed by using the streaming calculation recalculation module, and the performance attenuation is within 15% of the original storage performance.

The invention discloses a secure multi-party computing method and system based on secret sharing, and relates to the technical field of information security, and the method comprises the steps: obtaining original computing data, and dividing the original computing data into a plurality of data fragments; homomorphic encryption and symmetric encryption are respectively and sequentially carried out based on all the data fragments to obtain a plurality of layered encryption fragments; generating a random mask value and correspondingly binding the random mask value with the layered encryption fragment to obtain a final encryption fragment; based on all the final encryption fragments, distributing the final encryption fragments to each computing node for security computing, and correspondingly obtaining an intermediate result and a corresponding zero-knowledge proof; performing verification based on all zero-knowledge proof, and aggregating corresponding intermediate results based on verification results to generate an encryption calculation result; and decrypting based on the encrypted calculation result to obtain a plaintext calculation result. And the calculation efficiency is improved on the basis of ensuring the safety of the calculation data.

The invention belongs to the technical field of artificial intelligence, and relates to an LSH-based retrieval enhancement generation method and device, equipment and a storage medium thereof. Carrying out serialization processing; sampling processing is carried out through the vector space model, and high-dimensional embedded vector representation is generated; inputting the high-dimensional embedded vector representation into a vector database, and carrying out matching calculation; carrying out binary code valuation conversion on a matching calculation result by adopting an LSH algorithm to obtain binary code values corresponding to all the retrieved texts after conversion; according to the binary code value, an expected retrieved text is screened out; combining and sorting the retrieval input text and the expected retrieved text to generate a to-be-enhanced text; and inputting the text to be enhanced into the text enhancement generator to generate an enhanced retrieval feedback text. The method is applied to webpage search, question and answer systems and recommendation system scenes in the field of financial services or medical services, and a faster and more accurate retrieval feedback result is provided for retrieval personnel.

The invention relates to an index calculation system for assisting in analyzing user transactions and a monitoring method thereof. The index calculation system comprises the following steps: selecting field transaction data serving as current segment dynamic data and technical transaction data serving as historical complete data; according to the selected five core influence indexes, transaction data is subdivided, a classification logic calculation scheme is generated to carry out transaction value calculation on specific data, index calculation is carried out, and various analysis operations of the system are carried out based on a calculation result. The data quality is improved, the possibility that the transaction index deviates from the original data in the calculation processing process is eliminated, the workload of classification screening in subsequent processing is reduced, and the efficiency of the whole preprocessing process is indirectly improved. The method is suitable for reflecting the unique technology development direction and technology cooperation change degree of the technology market and comprehensively reflecting the dynamic development of the technology transaction market.

The embodiment of the invention provides a streaming data processing device, method, equipment and system in a relational database, and relates to the technical field of data processing.The device comprises an optimizer used for receiving input SQL statements for defining streaming calculation in a database, converting the SQL statements into a streaming execution plan capable of being executed by an executor, and outputting the streaming execution plan to the executor; the SQL comprises an upstream database table of the incremental data, processing calculation implemented on the incremental data and a downstream database table; the memory is used for persistently storing related meta-information of stream calculation in the library, and the related meta-information comprises a stream execution plan and progress information of the stream execution plan; and the executor is used for extracting incremental data, carrying out processing calculation on the incremental data and reflecting a processing calculation result into the downstream database table in the process of repeatedly executing the flow execution plan. According to the scheme, the flow calculation process of the incremental data is realized in the same database, the resource overhead is reduced, and the real-time performance is improved.

The invention provides an electricity market bidding strategy optimization method, system and device and a medium, and belongs to the technical field of electricity market transaction. The method comprises the following steps: acquiring public data of a power market, performing structured processing, extracting key information, and generating power market data; establishing a data optimization prediction model, and predicting the electricity price, the power demand load, the supply load, the enterprise power consumption cost and the power consumption at the future moment based on the power market data; receiving and configuring risk preference parameters input by a user, and generating an enterprise feature configuration file; sequentially calculating a market supply and demand influence factor, a real-time transaction price deviation degree, a reference income fluctuation value and a risk constraint term, and generating a final premium proportion based on a calculation result; on the basis of the final premium proportion, determining a bidding price at a future moment, constructing an objective function to optimize the bidding cost, solving an optimal premium proportion sequence and generating a bidding plan; and monitoring the income fluctuation rate in real time, triggering a feedback mechanism, and updating data.

The invention discloses a TEE-GPU collaborative model credible training method and device based on parameter confusion, and the method comprises the steps: enabling a client to encrypt training data and a model architecture in a preprocessing stage, and uploading the encrypted training data and model architecture to a server; and the trusted execution environment of the server side decrypts the model architecture, carries out confusion processing on a linear layer and then deploys the linear layer on an external GPU (Graphics Processing Unit). In the training stage, initial forward propagation calculation of training data is firstly completed in the TEE, and then intermediate results are confused and then transmitted to the GPU so as to execute subsequent forward propagation calculation. In the back propagation process, extra confusion is applied to the gradient by the TEE, and the gradient is issued to the GPU to calculate a new gradient; and after receiving the confusion gradient, the GPU updates the parameters in a confusion form. And randomly sampling calculation data in the TEE, and carrying out integrity verification to ensure the integrity of a calculation result. Compared with an existing credible training scheme, the method has the advantages that the time overhead can be remarkably reduced while the calculation accuracy, integrity and privacy of the model are ensured.

The invention discloses a decentralized unmanned aerial vehicle group data contribution degree Shapley consensus method based on block chain multi-chain cooperation, and the method comprises the steps: constructing a block chain which comprises a main chain layer, a side chain layer and a main-side chain interaction layer, and carrying out the decentralized data contribution degree evaluation process through the block chain. The method is divided into five stages of task release initialization, decentralized data sharing execution, data access, data contribution degree evaluation and calculation result sending. The method can be well used for large-scale cooperation of the unmanned aerial vehicle and data contribution degree evaluation under data sharing, the transaction processing speed is high, popularization and data sharing are facilitated, cost reduction and efficiency improvement are achieved for business, large-scale cooperation of the unmanned aerial vehicle can be better applied to various scenes, overall planning and supervision are facilitated, potential safety hazards are reduced, and the method is suitable for popularization and application. And the application of the unmanned aerial vehicle is simplified.

The embodiment of the invention belongs to the technical field of financial science and technology, is applied to a claim settlement business scene, and relates to a business evaluation method, device and equipment and a storage medium thereof. Carrying out complexity calculation on the multi-dimensional data by adopting an improved Halstep method; according to a complexity calculation result, determining a complexity level corresponding to the multi-dimensional data; based on the complexity level, screening out a pre-trained business evaluation model corresponding to the corresponding level; and inputting the multi-dimensional data into the business evaluation model to obtain a business evaluation result. By calculating the complexity of the multi-dimensional data to be subjected to target business evaluation, the business evaluation models corresponding to different complexity levels are selected to perform business evaluation, graded processing and refinement are performed on the business evaluation, and the business evaluation efficiency is improved.

The embodiment of the invention provides a financial settlement method and device, electronic equipment, a storage medium and a product, and belongs to the technical field of data processing. The method comprises the steps of obtaining identification information corresponding to a plurality of financial data tables required for calculating a to-be-settled task, and generating a plurality of sub-tasks; the plurality of subtasks are used for redistributing a plurality of financial data tables to the plurality of computing nodes; sequentially executing the plurality of sub-tasks in the plurality of computing nodes according to the priority of each sub-task, stopping executing the uncompleted sub-tasks under the condition that an execution result meets a broadcast threshold and the execution result meets a preset computing rule, and broadcasting the execution result to all the computing nodes; the preset calculation rule is determined according to the to-be-settled task; and performing associated calculation operation on any one of the plurality of calculation nodes to obtain a target calculation result corresponding to the to-be-settled task. According to the embodiment of the invention, the settlement efficiency of financial settlement can be improved.

The present application provides a streaming data calculation method, which includes: according to an Excel format detailed data source with specific attribute information, storing the title name corresponding to the data source in a root node, and storing the specific indicator field under each title name in a corresponding child node; reading the title name stored in the root node to obtain multiple types of keywords in the title name; according to a formula selected by a user, calculating multiple attribute values ​​under the multiple types of keywords selected by the user to obtain calculation results between multiple indicator fields; traversing the multiple types of keywords corresponding to the root node, and traversing the indicator fields corresponding to multiple child nodes in turn to generate a directory list; editing the files in the multiple types of keywords and indicator fields, and storing the edited latest directory list structure in Excel; responding to a read instruction issued by the user, obtaining the selected value of the target list, and displaying it through a visual service terminal.

The invention relates to the technical field of enterprise assessment, and discloses an enterprise financial health degree assessment method based on big data, comprising the following steps: step 1, establishing a dynamic model, and adding a data collection module, a data preprocessing module, a data assessment analysis module, an assessment risk identification module and an assessment risk response module in the model; 2, collecting various data related to the enterprise in a data collection module, wherein the data comprises but is not limited to financial data, market data, industry data and macroeconomic data; 3, cleaning the collected data in a data preprocessing module, removing wrong, repeated or incomplete data, and carrying out data standardization and normalization operation on the cleaned data; step 4, calculating the preprocessed data in a data evaluation and analysis module; step 5, performing risk identification on a calculation result in an evaluation risk identification module; and step 6, formulating a corresponding risk coping strategy for the risk factors influencing the financial health degree of the enterprise.

The invention provides a real-time data warehouse construction method and system and a real-time data warehouse query method and system based on an asynchronous materialized view. The real-time data warehouse construction method comprises the steps that a database log is obtained, a data importing technology is used, the database log is imported into a preset message queue and then imported into a Dores database, the database log is stored in an original data layer, and an original data table is generated; creating a first materialized view by using a structured query language, storing a calculation result obtained by querying the original data table in the first target structured query language to the first materialized view to obtain a primary materialized view as a detail data layer, and generating a detail data table; and creating a second materialized view by using the structured query language, storing a calculation result obtained by querying the detail data table in the second target structured query language to the second materialized view to obtain a second-level materialized view as a data service layer, and generating a data service table. According to the real-time data warehouse construction method based on the asynchronous materialized view provided by the invention, the development cost and the maintenance cost are reduced.

The invention provides an enterprise operation cost analysis method and device based on privacy calculation, equipment and a medium, and belongs to the technical field of data processing.The method comprises the steps that an enterprise data source is determined, and a data collection interface is set to collect, pre-process and encrypt service data; constructing a privacy computing platform, wherein each data source and the privacy computing platform construct a unified enterprise operation cost analysis basic model through a federal learning mode; carrying out encryption calculation among the data sources in a multi-party security calculation mode, and uploading an encryption calculation result to the privacy calculation platform; and the unified enterprise operation cost analysis basic model is optimized by using the encrypted calculation result on the privacy calculation platform, then the optimized unified enterprise operation cost analysis basic model is used for enterprise operation privacy calculation, and different viewing permissions are set for the enterprise operation privacy calculation result. According to the method, the enterprise data privacy is fully protected, and the accuracy and efficiency of operating cost analysis are improved.

The invention discloses a government affair data information monitoring method based on a government affair data monitoring model, and relates to the technical field of data monitoring. Comprising the steps of 1, formulating a unified data exchange interface standard according to different data structures of an online government affair system; 2, according to different data structures of an online government affair system, government affair data types are classified, and each type of government affair data is converted into a flat structure; 3, creating a government affair data monitoring model, and 4, creating a synchronization scheme of different types of government affair data to the government affair data monitoring model based on the data exchange interface, and executing data synchronization according to the synchronization scheme; and 5, based on the government affair data synchronized to the government affair data supervision model and different supervision points, performing data supervision calculation and supervision result storage by using the calculation model in combination with a supervision rule, and performing query and statistical operation on the supervision data through the government affair data supervision model in combination with each calculation result and supervision result.