269 results about "Business transactions" patented technology

The invention provides an intelligent resiliency engineering module for investigating resiliency of a software application, wherein the module is configured to identify business transactions associated with the software application to determine observability scenarios and orchestrate chaos engineering in a target infrastructure. The intelligent resilience engineering module identifies chaos simulation scenarios and a target infrastructure for the software application, to inject the one or more chaos simulation scenarios to simulate and orchestrate chaos attacks and the business transaction in the target infrastructure. Based on the simulation and orchestration, a correlation module by leveraging Artificial Intelligence (AI) models, correlates infrastructure telemetry data with Software Development Lifecycle (SDLC) digital assets. A predictive insights module predicts target infrastructure hotspots based on the correlation, current behavior of the target infrastructure, and behavioral conditions inferred based on historical insights on similar chaos simulation scenarios.

The Compliance Commerce Transaction Management Apparatuses, Processes and Systems (“CCTM”) transforms entity onboarding application input, assessment data, authentication data inputs via CCTM components into entity onboarding application output, entity compliance datastructure, transaction compliance datastructure outputs. An entity object identifier of an entity object flagged for compliance monitoring is obtained. A set of compliance monitoring criterion objects and a range of previous compliance datastructures to utilize for the entity object are determined. A set of previously stored compliance datastructures is retrieved and their cryptographic signatures are verified. Updated entity assessment data corresponding to a set of deficient entity assessment data is obtained. Each factor of compliance rule specified in the set of compliance monitoring criterion objects is evaluated. A dimension compliance score is calculated for each dimension of compliance data channel. An overall compliance score is calculated. An entity compliance datastructure for the entity object is generated, cryptographically signed, and stored.

The invention relates to an embedded safety management method based on digital RMB industrial control equipment, and belongs to the technical field of industrial control system safety. The method comprises the following steps: during first deployment, carrying out information binding on an asymmetric key pair of the industrial control equipment and an equipment identity identifier to generate an equipment digital certificate; the digital signature is verified step by step from a private key of the asymmetric key pair during power-on starting through a safe starting process; when communication is established, performing digital signature on a communication key by calling a signature function of the hardware security module based on a challenge-response mechanism; when a digital RMB transaction is carried out, the trusted execution environment and the digital RMB hardware wallet module carry out secure interaction, and a transaction instruction is analyzed; during the operation period of the equipment, key data streams are continuously collected and analyzed by deploying an exception monitoring module. Reading, querying and related business transactions of the digital RMB on the industrial control equipment are achieved, and it is ensured that the identity is not forged and the instruction is not tampered.

In one embodiment, a method for automatic application data collection is disclosed. The method illustratively comprises determining a stack trace associated with one or more business transactions, wherein at least one application is configured to perform at least part of the one or more business transactions; identifying, based on the stack trace, one or more methods of the at least one application that were invoked during performance of the one or more business transactions; selecting, from the identified one or more methods, a set of the one or more methods by applying at least one scoring heuristic to the identified one or methods; and configuring one or more monitoring agents executing on the at least one application to instrument the selected set of the one or methods at one or more instrumentation points, wherein application performance data is generated by instrumentation of the one or more instrumentation points.

The invention discloses a debt risk real-time analysis system and method based on big data and artificial intelligence. The system comprises a data acquisition and preprocessing module, a credit risk analysis module, a market risk analysis module, a mobility risk analysis module, a comprehensive risk scoring and early warning module and a risk optimization and decision support module. Each module of the system can perform real-time data analysis and prediction by using machine learning and deep learning algorithms, can generate a credit risk analysis result, a market risk analysis result and a mobility risk analysis result respectively, finally performs weighted summation on each result, and can realize dynamic monitoring and early warning based on the summation result. And enterprises, financial institutions and investors are helped to effectively avoid risks in commercial transactions. Therefore, by adopting the embodiment of the invention, the default risk in the commercial transaction can be obviously reduced, and the decision-making efficiency and the robustness of the financial market can be improved.

The invention provides a cross-system fault diagnosis method and system combined with multi-dimensional anomaly detection, and the method comprises the steps: firstly obtaining an original data set which is generated by cross-system call and comprises fragmented call data, peripheral business transaction data and log data, and carrying out the breakpoint supplement processing to generate a complete data set; then, transverse anomaly diagnosis is carried out on the complete data set, a decision tree algorithm is used for positioning a fault propagation path and an abnormal object, then longitudinal anomaly detection is carried out on the abnormal object, operation logs, error stacks and infrastructure indexes are analyzed based on a multi-dimensional anomaly detection algorithm, and an anomaly reason analysis result is generated; and finally, determining a fault source, a fault object and an influence range according to an analysis result, and outputting a cross-system fault diagnosis report, thereby comprehensively utilizing multi-source data, realizing accurate positioning and deep analysis of cross-system faults, improving fault diagnosis efficiency and accuracy, and ensuring stable operation of the system.

The invention relates to the technical field of data processing and financial science and technology, in particular to an agent resource allocation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the working state information and historical working information of a plurality of agents, generating a weight list of the plurality of seats according to the working state information and the historical working information; obtaining value evaluation information and remaining deadline information of a plurality of allocation objects in a resource pool, and generating an allocation sequence list of the plurality of allocation objects according to the value evaluation information and the remaining deadline information; and matching an allocation object for the seat according to the allocation sequence list and the weight list. According to the method and the device, the order grabbing pool algorithm for allocating the customer lists to the seats is provided, the insurance renewal pool lists are allocated by the algorithm through weight, evaluation and resource allocation, the business transaction rate is improved, the fairness and efficiency of allocation of the lists in the resource pool are guaranteed, and the efficiency and the quality of customer services are improved at the same time.

The invention relates to a reconciliation clearing method and system based on intelligence, and the method comprises the steps: obtaining business transaction processing information, splitting the information into a plurality of information pieces according to a preset data type, obtaining a transaction information piece set, and enabling each information piece to correspond to a data type; performing feature extraction on the transaction information piece set, generating transaction feature vectors, including transaction amount, transaction type and channel identifier, inputting the transaction feature vectors to a pre-trained account checking and clearing window prediction model, and outputting the size of an account checking and clearing window corresponding to the current transaction information piece set; and based on the transaction information piece set and the size of the reconciliation clearing window, performing distributed processing on the transaction information piece set by using a preset reconciliation clearing link generation mechanism to realize reconciliation clearing of the business transaction processing information. Therefore, processing resources are reasonably allocated, distributed processing is realized, and the processing efficiency and accuracy of account checking and clearing are remarkably improved.

The embodiment of the invention discloses a data processing method and device based on a block chain and related equipment, and can be applied to the technical field of block chains. The method comprises the steps of obtaining a to-be-signed transaction; when it is identified that risk parameters exist in the key parameters, obtaining transaction auxiliary resources associated with the transaction to be signed, and obtaining a first account address; obtaining a second account address, generating a first business transaction based on the transaction auxiliary resource, the first account address and the second account address when the number of address transactions of the second account address is smaller than a transaction number threshold, and sending the first business transaction to the block chain node; and when the transaction auxiliary resource exists on the second account address, performing transaction signature on the to-be-signed transaction through the private key information corresponding to the second account address to obtain first transaction signature information, constructing to obtain a first signed transaction, and sending the first signed transaction to the block chain node. By adopting the method and the device, the security of the resources of the business object on the block chain can be improved.

A method and a system for utilizing dynamic data partitioning to ensure consistency of event publications with associated business transactions in a distributed microservices architecture in order to optimize efficiency in polling data are provided. The method includes: defining a hash space that includes a range of assignable hash values; deploying a respective instance of each microservice to form a cluster of microservices within the distributed microservices architecture; allocating a respective subset of the hash space to each microservice; and facilitating a data polling capability with respect to a data table based on the allocated respective subset of the hash space and the deployed respective instance for each microservice.

A method of securing commercial transactions in a commercial transaction system, the method is disclosed. Comprising creating, using a customer device and a sales system server, a customer account associated with a customer using an account creation procedure comprising at least: receiving information related to the customer in a basic account creation step, capturing a government ID image data in an ID scanning step, capturing a captured biometric data of the customer during a facial scanning step, and comparing the government ID image data and the captured biometric data to verify a match related to the customer, and creating a verification algorithm representing a verification of the customer using the commercial transaction system. Creating a verification token, using the customer device and the sales system server.

To perform system management on guarantee periods of commercial transaction objects in a plurality of marketing routes.SOLUTION: When a movement of a commercial transaction object is input, a data generation unit refers to a storage unit which is stored with guarantee period management information for a storage place representing whether the movement destination is a storage place where the guarantee period of the commercial transaction object is managed and a common identification number and a common guarantee period attached in common when the storage space as the movement destination is a storage place where the guarantee period is not managed, and then generates movement data including the identification number and guarantee period of the commercial transaction object when the guarantee period management information for a storage place shows that the storage place as the movement destination shown by the movement input is the storage place where the guarantee period is managed and also generates movement data including the common identification number and common guarantee period stored in the storage unit when the guarantee period management information for a storage place shows that the storage place as the movement destination shown by the movement input is a storage place where the guarantee period is not managed. An output control unit outputs the generated movement data to external equipment.SELECTED DRAWING: Figure 1

The embodiment of the invention relates to the technical field of text processing, in particular to a system testing method, device and equipment. According to the embodiment of the invention, the method comprises the steps: capturing the transaction flow and response message of an old system in real time, obtaining the related configuration from the transaction information, screening out the proper transaction flow, executing the recording operation, and carrying out the partition storage according to the real-time transaction information; after a playback instruction is received, a corresponding message set is selected according to the playback instruction, the playback rate is adjusted, the corresponding message is played back to the new system, a response message generated by the new system is obtained, the response message is compared with an old system response message, and a test result of the new system is generated. Through the mode, the background pressure requirements of performance and chaos testing can be met by automatically adjusting the message playback rate, different business transaction functions can be verified by playing back different messages at the same time, and therefore testing of new system functions is completed.

The invention discloses a transaction request processing method and device, a storage medium and electronic equipment. The method comprises the steps that a business transaction request sent by a second transaction system is received in a target time period, and the first transaction system and the second transaction system are used for processing the business transaction request in parallel in the target time period; analyzing the business transaction request, and determining a transaction serial number; analyzing a sequence log according to the transaction serial number, determining a service serial number corresponding to the transaction serial number, the sequence log being generated by a second transaction system in advance according to the service transaction request, and the service serial number being a random number used for identifying the service transaction request; generating a first business processing result according to the business transaction request; and storing the first service processing result, the service serial number and a mapping relationship between the first service processing result and the service serial number. The technical problem that the new and old transaction systems cannot guarantee the data consistency in the parallel double-sending stage is solved.

Improved techniques to access content from documents in an automated fashion. The improved techniques permit content within documents to be retrieved and then used by computer systems operating various software programs (e.g., application programs), such as an extraction program. Documents, especially business transaction documents, often have various descriptors (or tables) and values that form key-value pairs. The improved techniques permit key-value pairs within documents to be recognized and extracted from documents. Consequently, RPA systems are able to accurately understand the content of tables within documents so that users and / or software robots can operate on the documents with increased reliability and flexibility.

The invention provides an account following test method and device, a processor and a storage medium, and belongs to the field of account following tests.The method comprises the steps that account following tests are executed on multiple business transactions in response to account following instructions of the multiple business transactions; wherein the process of executing the account following test in each business transaction comprises the following steps of: directly executing the account following test and acquiring an account following return message under the condition of determining that a matching item corresponding to the account following request message of the business transaction does not exist in the associated record; when it is determined that the business transaction is a newly initiated business transaction, updating an association record based on the number information of the account-following return message of the business transaction and the number information of the original return message corresponding to the account-following return message; and comparing the account following return message of the business transaction with the original return message based on the updated association record. Through the method provided by the invention, the difference between the newly initiated business transaction and the business transaction of the old business system can be reduced, and the account following comparison success rate is improved.

Methods and systems for a borrower identification and prediction of credit risk associated with the identified borrower is provided. The system includes a server that retrieves an electronic message that includes details of transactions conducted by a first entity over a time. The electronic message is parsed based on a predefined parameter, to identify a second entity, where the first entity has conducted a business transaction with the second entity. Further, a first set of details associated with the second entity is obtained from one or more resources associated with the server. Furthermore, a knowledge graph is generated based on the business transaction and the first set of details. The knowledge graph indicates an association between the first entity and the second entity. Subsequently, a credit risk score associated with lending money to the second entity is predicted based on the knowledge graph.

The invention relates to the technical field of industrial data management, in particular to a supply chain data real-time integration processing method and system based on multi-source heterogeneous data, and the method comprises the steps: obtaining an external compliance data document, calling a document layout analysis model based on a multi-modal converter, extracting a text semantic vector, fusing the text semantic vector with a two-dimensional space coordinate feature to generate a composite index key, and carrying out the real-time integration processing of the supply chain data. Executing clustering analysis to recognize the text blocks and generating structured metadata; carrying out discretization processing on the business transaction data flow, and constructing an associated database with production environment and logistics data as attributes; executing cross-modal entity alignment by using the structured metadata, and establishing a bidirectional pointer link between the unstructured document index and the associated database; receiving a query vector, executing a recursive traversal algorithm based on a bidirectional pointer link, calculating a cascade influence probability as a correlation sorting score, and outputting a retrieval result; through multi-modal feature fusion and cross-modal entity alignment, deep integration and risk linkage retrieval of supply chain heterogeneous data are realized.

To enable a slip that can grasp a detailed transaction state to be outputted.SOLUTION: An information processing device 1 includes a slip output part (CPU 11) for outputting a slip describing information related to a commercial transaction, a reception part (CPU 11) for receiving a prescribed condition and setting of a discount rate associated with the prescribed condition, and a calculation part (CPU 11) for calculating a transaction amount on the basis of the order quantity and unit cost of articles, the calculation part calculates a transaction amount by applying a discount rate associated with the prescribed condition about a transaction that satisfies the prescribed condition received by the reception part, and the slip output part outputs a slip describing one of rows and columns including a list of transaction dates during a prescribed transaction period when commercial transactions including transactions satisfying the prescribed condition are performed, the other of the rows and columns of a list of articles transacted within the prescribed transaction period, a transaction date and an order quantity in each article transacted on the transaction date, and a transaction amount calculated by the calculation part.SELECTED DRAWING: Figure 1

The invention discloses an unattended wagon balance monitoring method and system, and relates to the field of wagon balance monitoring, and the method specifically comprises the following steps: S1, constructing a data processing architecture; s2, triggering and receiving multi-source data; s3, carrying out data verification and credibility evaluation; s4, executing a graded early warning decision; and S5, realizing data archiving and model iteration. The unattended wagon balance monitoring method and the unattended wagon balance monitoring system provided by the invention can accurately identify behaviors influencing data authenticity, such as incomplete loading of a vehicle and cargo cheating, and guarantee the accuracy of commercial measurement data from the source. Meanwhile, for a localized dynamic correction mechanism of slightly abnormal data, a complete traceability mark is reserved while data validity is ensured, a traceable verification evidence chain is formed, a reliable basis is provided for solving commercial transaction disputes, legal rights and interests of two transaction parties are practically maintained, meanwhile, the manual intervention requirement can be greatly reduced, and the transaction efficiency is improved. Management personnel are liberated from tedious remote verification work.

This invention discloses a novel system and method for transaction document management where personnel from two sides of a business transaction involving one or more documents that constitute the transaction can interact with the system in order to automate the process of tracking executed signature pages associated with the documents. In addition, the system and method automates the tracking of exceptions to at least one of the documents and associating the exception with one or more documents comprising due diligence documents that may also reside on the system.

The invention is suitable for the field of smart parks, and provides a smart park enterprise settlement intelligent management method and system, and the method comprises the following steps: building a supply chain relation graph based on the transaction data of an existing enterprise; obtaining application information of a settled enterprise, and generating an enterprise label of the settled enterprise according to the application information; matching nodes in the supply chain relation graph according to the enterprise label of the settled enterprise to obtain a plurality of alternative nodes; and generating a layout scheme about the settled enterprise location based on the plurality of alternative nodes. According to the method and the system, position selection help can be provided for entering of enterprises in the smart park, so that the entering enterprises can make transactions with other enterprises in the park at lower cost, and clustering development of the upstream and downstream of the industry is effectively promoted.

The embodiment of the invention discloses a business processing method and device, a computer, a storage medium and a program product, and the method comprises the steps: splitting a first business transaction into N business processing instructions based on N first storage components associated with the first business transaction; each business processing instruction corresponds to one first storage component; acquiring service version information associated with a first storage component corresponding to a to-be-processed instruction in the N service processing instructions, and acquiring first transaction version information of the to-be-processed instruction in the first service transaction; if the service version information is the same as the first transaction version information, executing the to-be-processed instruction; if the execution of the to-be-processed instruction fails, executing a business processing inverse instruction corresponding to a front instruction of the to-be-processed instruction; the business processing inverse instruction corresponding to the front instruction of the to-be-processed instruction is used for returning the state of the N first storage components to the state before the first business transaction is processed. According to the invention, the accuracy of business processing can be improved.

The invention relates to systems for organizing and monitoring payments for trade operations. This system for the payment of commercial transactions includes a block for interaction with system users; a block for issuing and / or registering electronic documents (EDs) that confirm the financial obligations of the user designated in an ED to pay to the ED owner the designated amount of money in the designated currency; a block for creating, signing, encrypting, and storing smart contracts; a block for forming a closed chain of smart contracts for the purchase and sale of EDs, including at least one smart contract for the ED purchase and one smart contract for the ED sale in a currency different from the payment currency for the other smart contracts generated by the block for creating, signing, encrypting, and storing smart contracts. The technical result is manifested in increased efficiency, security and control over the implementation of payments for trade transactions.

The invention discloses an electricity consumption information acquisition terminal transaction semantic monitoring and causal delimiting method, which comprises the following steps: acquiring an application protocol data unit by utilizing an eBPF probe, generating a cross-layer unique transaction fingerprint based on extracted sessions, objects, businesses and calling identifiers, and generating a transaction event record by utilizing a pairing state machine; constructing a transaction observation window containing front and back extensions by taking a transaction observation timestamp as a reference, and screening and aggregating kernel events associated with the transaction fingerprint to obtain a transaction evidence set; and constructing a directed evidence graph based on the set, and calculating the confidence coefficient of each root cause category by using a scoring rule and an index normalization algorithm. According to the invention, non-intrusive deep observation of power acquisition business affairs is realized, and the automation level and fault diagnosis precision of power terminal operation and maintenance are improved.

The invention discloses a test data generation method and device, equipment and a storage medium, and relates to the technical field of computers, and the method comprises the steps: determining a target message protocol file corresponding to a standardized data template corresponding to business transaction data; transmitting the standardized data template to a target message protocol file; when the transmission is completed, performing format conversion on a message protocol in the standardized data template based on a message protocol grammar rule in the target message protocol file to obtain message protocol specification data; and injecting the message protocol specification data into the sending message to generate test data. According to the invention, the message protocol in the standardized data template can be converted into the message protocol specification data based on the message protocol grammar rule, and the message protocol specification data is injected into the sending message to generate the test data, so that the problem that in the prior art, the message system test depends on the technical specification of the message system of manual learning is solved; and the test accuracy is not high.

The invention provides an enterprise cooperation relationship mining model training method and a friend recommendation method and system, and the method comprises the steps: firstly integrating multi-source data, constructing a structured enterprise label through optical character recognition and a natural language processing technology, and constructing an enterprise relationship graph with an enterprise as a node and a plurality of business relationships as edges on the basis of the structured enterprise label; then, node pairs with business exchange are selected from the atlas as positive samples, node pairs which do not exchange but meet specific conditions are selected as negative samples, and a training set is formed; a model based on an inductive graph neural network encoder, a multi-relation graph attention layer, a cross-relation fusion layer and a link prediction layer is adopted for training, and parameters are optimized through a marginal contrast loss function. During application, a trained model is utilized to calculate the cooperation probability between a target enterprise and an unknown enterprise, and potential cooperation partners are recommended to a user through instant messaging according to the cooperation probability. According to the invention, the efficiency and the intelligent level of business expansion of enterprises are obviously improved.

The invention relates to the technical field of intelligent equipment management, in particular to an intelligent equipment management system and method based on cloud computing. The method comprises the following steps: acquiring a working state data set of the POS machine, analyzing the working state data set of the POS machine, and determining time sequence state evaluation information; obtaining a real-time business transaction data set, and determining a local encryption strategy set based on the real-time business transaction data set according to the time sequence state evaluation information; based on the real-time business transaction data set, analyzing the local encryption strategy set, and determining a cloud decryption update strategy set; and transmitting and updating the transaction data according to the local encryption strategy set and the cloud decryption updating strategy set, and determining and outputting a POS machine cooperative processing report. Good balance between data security and data real-time performance is guaranteed, mutual influence between the data security and the data real-time performance is reduced, and availability of transaction data is effectively supported.

The invention discloses a code identification method and device, electronic equipment and a computer program product. Relates to the field of financial science and technology, and comprises the following steps: acquiring system operation information of a business transaction in a test environment collected by a collection component, and obtaining M pieces of system operation information, the system operation being operation of a service calling behavior performed by the business transaction based on a code, and M being a positive integer; performing semantic processing on the M pieces of system operation information to obtain M groups of system operation parameters, and constructing a joint vector according to each piece of system operation information and each group of system operation parameters to obtain M joint vectors; the M joint vectors are input into a code recognition model, a code recognition result of the test environment is obtained through processing, and the code recognition result is used for indicating whether abnormal codes exist in system operation or not. Through the method and the device, the technical problem of low detection accuracy of code detection when the code library is changed in the prior art is solved.

An embodiment of the present application provides a reconciliation method, device, equipment and medium for an annuity plan based on a blockchain. The method is applied to a blockchain composed of a trustee node and a custodian node. The trustee node is linked to the blockchain through an annuity service platform. The method includes: receiving a trustee business transaction record and an accounting voucher accounting rule belonging to a target annuity plan uploaded by the trustee node through the annuity service platform, where the accounting voucher accounting rule is a rule for recording the trustee's business transactions; generating multiple trustee business accounting vouchers based on the accounting rules, and each trustee business accounting voucher corresponds to an annuity business change record in the trustee business transaction record; receiving multiple custodian accounting vouchers of the target annuity plan uploaded by the custodian node, and each custodian accounting voucher is an annuity business change record of the target annuity plan; reconciling each trustee business accounting voucher and each custodian accounting voucher in turn, and outputting a reconciliation result.