113 results about "Business activities" patented technology

The invention relates to the technical field of business financial management and control, and discloses a business financial integrated management system. A service activity feature extraction module of the system collects a service end operation behavior data stream, extracts service activity time sequence features, calculates a service operation frequency fluctuation range, and generates a service activity feature vector; the service state judgment module is used for matching a preset service activity feature library according to the service activity feature vector, identifying an abnormal service operation node, calculating a service operation deviation degree and generating a service state judgment index; the financial risk conduction analysis module obtains a business state judgment index, analyzes an association path of a business node and a financial event, evaluates a financial risk conduction probability, and generates a risk conduction evaluation result; and the resource collaborative optimization module analyzes a business and financial resource configuration deviation based on a risk conduction evaluation result, calculates a resource collaborative optimization priority and generates a resource collaborative adjustment strategy.

The invention belongs to the field of data processing, and provides a road engineering low-carbon data credible interaction method and system, and the method comprises the steps: constructing a full life cycle stage division model, generating corresponding low-carbon data according to the business activity of each stage, and adding a stage identifier, a timestamp and a spatial position label to the low-carbon data; based on a preset engineering logic, a data causal relationship and a carbon emission factor model, constructing a data context tree comprising a plurality of low-carbon data nodes, and organizing the low-carbon data nodes in different space-time ranges and life cycle stages into a life cycle data context tree with a staged conduction relationship; before data interaction is carried out, multi-dimensional verification operation is carried out on target data based on the data context tree; and calculating a credible score of the target data based on a structural path verification result, a space-time consistency verification result and a carbon factor mapping verification result, and controlling the interactive access permission of the low-carbon data according to a score result.

The invention discloses an AI capability integrated multifunctional enterprise communication business card implementation method, which comprises the following steps that: an enterprise user registers an account in a system, logs in, enters an enterprise management interface and uploads enterprise data; the system stores the uploaded data to an enterprise knowledge base module, performs initialization processing on the data, and establishes indexes and classifications; an enterprise employee fills in own identity information and things needing to be processed in the call on a dial plate of the intelligent communication system, and an incoming call business card pushing module pushes related information to a called terminal through a three-network flash message; enterprise employees communicate with clients through the intelligent communication system, the employees can send AI business cards and incoming call business cards, and the data statistical analysis module records the business card delivery condition of the employees and the watching behavior data of the clients to the AI business cards in real time. According to the invention, the information transmission efficiency can be improved, so that the business activities of employees, especially sales-type employees, are effectively managed, the operation cost is reduced, the propaganda efficiency is improved, and the labor cost is reduced.

The invention relates to the technical field of enterprise service processing and automatic deployment, in particular to a cloud integrated enterprise service processing method and system, and the method comprises the steps: obtaining a customer identifier of a target customer associated with an automatic deployment process, and enabling the customer identifier to be associated with a preset business management entity; according to the customer identifier, obtaining a preset business state mark used for representing whether the target customer is in a business sensitive period or not; when the business state mark indicates that the target customer is in the business sensitive period, stopping the execution of the automatic deployment process; and transferring the deployment decision right related to the automatic deployment process to the corresponding service management entity. The method has the advantages that automatic deployment can be dynamically adjusted, and interference to commercial activities of customers is reduced.

An example computer system for liquidity modeling can include: one or more processors; and non-transitory computer-readable storage media encoding instructions which, when executed by the one or more processors, causes the computer system to: receive requests from an organization to conduct one or more transactions, where the transactions include receivable transactions and payable transactions; identify a current liquidity status and one or more business activities associated with the organization; predict a liquidity requirement of the organization based upon the receivable transactions, the payable transactions, the current liquidity status and the one or more business activities; and prioritize the one or more transactions based upon the liquidity requirement.

The invention relates to an end-to-end process construction and execution method and related equipment based on a standardized component, and the method comprises the steps: obtaining the process design data of an end-to-end process project of a power enterprise, which comprises a value stage, a key business activity, an atomic operation sequence, an operation main body and an output object; packaging the atomic operation into a standardized component, configuring an execution role for the standardized component, reserving an element slot, and storing the element slot into a process component library; responding to the arrangement instruction, selecting a plurality of components corresponding to the target business scene from a component library, establishing control flow logic among the components, generating an end-to-end process model, and establishing a metadata association relationship between each component and an execution role, a digital system, a business rule, a business form and a system standard; and associating and deploying the model and the metadata to a process execution platform. According to the method, the construction efficiency, the component reusability and the executable performance of the end-to-end process are improved.

The invention provides a business information processing method, which comprises the following steps: acquiring business card information input by a user, and generating first business card data of the user through an artificial intelligence model; obtaining business project demand data input by the user; generating business project scheme data according to the business project demand data; matching at least one piece of second business card data through a business activity artificial intelligence model according to the business project scheme data, and forming a second business card data set corresponding to the business project demand of the user; and establishing business information processing between the first business card data and the second business card data according to the second business card data set. According to the invention, discovery, communication and commercial activity cooperation of commercial contacts are realized more efficiently and more accurately.

The invention belongs to the technical field of online operation analysis, and discloses a new energy power generation equipment online operation analysis method and platform based on data fusion, and the method cleans and corrects data, reflects real-time business activities through employing fixed cost and variable cost, collects wind field projects, and obtains a new energy power generation equipment online operation analysis result. The design parameters are compared with the parameters after actual construction and operation, and the actual operation efficiency of the wind field project is evaluated; the platform comprises a data management module, a real-time profit viewing module and a historical profit viewing module. According to the method, the hysteresis of financial statement data is made up, production and operation management is converted into whole-process management and control of beforehand planning, in-process monitoring and after-event analysis from after-event summarization, marginal contribution is improved, and the purpose of'controlling month with day 'is achieved.

The invention relates to the technical field of financial examination and approval, in particular to a financial examination and approval process optimization method. The method has the advantage that the service functions are comprehensive. The system totally comprises 13 large function modules and 35 small function modules, various business activities related to financial management are comprehensively covered from income, budget and reimbursement to travel, vehicle and project management, and complete informatization support is provided. Each functional module meets the requirements of different users and is seamlessly integrated with other modules, so that the high collaboration of the whole financial management process is ensured, and cost control rules are fused. Various cost control rules including budget limitation, approval processes, cost policies and the like are fully considered in the design of the system. The system can automatically detect and execute the rules and perform early warning on abnormal conditions, the efficiency and accuracy of cost control are improved, the system supports custom approval processes, and financial personnel are allowed to configure approval personnel and approval steps according to actual needs.

The invention relates to the technical field of IT resource health degree assessment, in particular to an IT resource health degree assessment method and system, and the method comprises the following steps: obtaining the number of requests of each business activity type; calculating the real-time proportion of each service activity type in the total amount of all service requests; when the real-time proportion deviates from the conventional service composition reference, identifying and quantifying a service composition abnormal event, and generating service composition abnormal event information; searching a matched adjustment strategy from a preset weight adjustment rule, wherein the adjustment strategy comprises a trigger condition, an affected index and a weight adjustment mode; calculating and applying a new weight of each business index in health degree evaluation; calculating an IT resource health score by using the new weight; and outputting the IT resource health score and the business composition abnormal event information. The accuracy and timeliness of evaluation are improved.

This application relates to a method and related equipment for constructing and executing end-to-end processes based on standardized components. The method includes: acquiring process design data for an end-to-end process project of a power company, which includes value stages, key business activities, atomic operation sequences, operation subjects, and outputs; encapsulating atomic operations into standardized components, configuring execution roles for them, reserving element slots, and storing them in a process component library; responding to orchestration instructions, selecting multiple components corresponding to the target business scenario from the component library, establishing control flow logic between components, generating an end-to-end process model, and establishing metadata association relationships between each component and execution roles, digital systems, business rules, business forms, and institutional standards; and deploying the model and metadata associations to a process execution platform. This application improves the construction efficiency, component reusability, and executability of end-to-end processes.

A system is provided.SOLUTION: A system comprising: means for collecting conversation data; means for transcribing the collected conversation data; means for summarizing the transcribed text data; means for extracting important information from the summarized text data; means for automatically entering the extracted information into a business management tool; means for analyzing and visualizing business activity data; and means for notifying a user of updated information.SELECTED DRAWING: Figure 1

The invention relates to the technical field of tax data processing, in particular to a blockchain-based tax audit management system, which comprises a semantic business activity acquisition module for capturing business data from an operating system of a factoring business participant, converting the business data into a semantic unit and storing the semantic unit in a blockchain; the dynamic tax rule evolution module optimizes a tax payment obligation identification model through a federated learning framework; the tax payment event association module is integrated with an oracle machine network to construct a tax payment event atlas; the cash flow tracing and sharing module adopts an ant colony optimization algorithm to generate a cash flow incidence matrix; the auditing deduction and feedback module generates a calibration signal through simulation deduction and feeds the calibration signal back to the rule evolution module. All the modules form a closed-loop system through a data flow and a feedback mechanism, dynamic association and automatic matching of multi-subject sub-link tax payment obligations and cash flow paths are achieved, and the tax auditing efficiency is improved.

The invention relates to a big data prediction method and device based on machine learning, equipment and a medium, and the method comprises the steps: converting millisecond-level power grid real-time monitoring data into frequency domain features through wavelet packet transformation, and solving the timeliness conflict between high-frequency data and low-frequency commercial data; a tensor fusion technology is utilized to align multi-source heterogeneous information such as power grid topology, enterprise carbon emission and financial data, and unified space-time representation is constructed; structured constraint features are generated in combination with semantic analysis of policies and regulations, and dynamic association between environmental policies and commercial activities is quantified through cross-modal embedding; modeling a risk conduction path based on a dynamic graph neural network, and optimizing a prediction model according to an asymmetric loss mechanism; and finally, outputting a supply chain risk control strategy, and realizing closed-loop response from power grid fluctuation monitoring to supply chain decision. According to the method, the limitation of a traditional model in the aspects of cross-scale data fusion and policy conduction quantification is broken through, and the prediction precision and the response timeliness in an emergency risk scene are remarkably improved.

The invention discloses a database configuration method and device which are used for improving the stability of data stored in a database. The scheme comprises the following steps: acquiring peak time interval information of a target business activity in a target database, wherein the peak starting time of the business activity is within a first preset duration after a current moment; the disk refreshing strategy of the target database is adjusted from the first disk refreshing strategy to a second disk refreshing strategy matched with the target business activity for a second preset duration before the peak starting time of the target business activity, the disk refreshing frequency of the second disk refreshing strategy is smaller than that of the first disk refreshing strategy, and the second preset duration is not larger than the first preset duration; and adjusting the disk refreshing strategy of the target database from the second disk refreshing strategy to the first disk refreshing strategy in a third preset duration after the peak end time of the target business activity. According to the scheme, the disk refreshing frequency during the service activity peak period is reduced, the disk input and output read-write load is reduced, the service activity delay caused by high-frequency read-write is avoided, and the stability of database storage data is effectively improved.

The present application relates to a kind of supply chain settlement methods based on monitoring identification, to each manufacturer from raw material delivery, production to transport to next manufacturer each link, raw material to finished product is identified and position identification, to determine the purchase of raw material, the delivery of finished product, to identify result as trusted credit guarantee, realize that manufacturer in supply chain no longer needs to use cash to settle each business activity, both sides need not to collect and pay for current business activity, only need to collect or pay for all business activities that occur in itself, in settlement, based on the difference of income and expenditure offset, then for each manufacturer in supply chain, can reduce the dependence on cash. The present application can greatly reduce the problem of manufacturer's capital turnover, reduce the risk of capital chain break; and comprehensive settlement for each manufacturer itself, settlement logic is simple, improve the efficiency of each manufacturer settlement simultaneously, continuously.

The application discloses an integrated warehouse logistics personnel equipment input estimation decision support method, relates to the technical field of intelligent warehouse logistics, and comprises the following steps: acquiring historical throughput, current inventory, order to be processed and planned business activity type data of a target warehouse logistics area; obtaining predicted throughput of each time unit in a target estimation period, correcting the predicted throughput, combining a preset work hour quota data table, calculating baseline personnel work hour demand and baseline equipment work hour demand; converting the baseline equipment work hour demand and the baseline personnel work hour demand into theoretical equipment input quantity and theoretical personnel input quantity of each time unit respectively, matching the theoretical equipment input quantity and the theoretical personnel input quantity with actual available equipment quantity and actual available personnel quantity, and generating an equipment time-sharing deployment plan and a personnel time-sharing scheduling plan. The application can improve the accuracy and matching of resource input estimation, reduce resource idling, and improve the operation efficiency and resource utilization level of a warehouse logistics system.

The invention discloses a power grid enterprise internal business simulation market settlement method and system based on a rule engine and a dynamic pricing engine, and the method comprises the steps: defining a transaction main body of power grid enterprise internal business simulation market settlement, and dividing the transaction main body into a service unit and a served unit; business activities are clarified, and the business activities are classified according to business characteristics; a rule engine is utilized to dynamically configure a corresponding work flow, a cost and benefit sharing cause relationship and a self-defined business rule for business activities between the service unit and the served unit; integrating the internal data and the external data by using a dynamic pricing engine, selecting a corresponding pricing algorithm model according to the business characteristics of business activities provided by a service unit, and generating and dynamically adjusting an internal settlement price provided for a served unit; simulation metering, pricing and settlement are carried out on business activities between the service unit and the served unit, simulation profit of each unit is measured and calculated, and multi-dimensional evaluation analysis is carried out.

The invention discloses a video service operation state determination method and device and electronic equipment. The method comprises the steps that flow data of target service network elements in the video service architecture and service data corresponding to the target service network elements are collected, the target service network elements comprise at least one of a media service network element and an upper cloud service network element, and the service data comprise running service activity state data in the target service network elements; predicting the traffic data by using the traffic prediction model to obtain a prediction result; and determining the operation state of the target service network element according to the prediction result and the service data. The technical problem that the operation state of the service network element in the GB / T 28181 protocol video service architecture cannot be accurately monitored in the prior art is solved.

This utility model provides a multilingual intelligent translation terminal device for cross-border business travel, relating to the field of translation equipment technology. It includes a translation device body with a rotating block fixedly connected to its bottom. A fixing rod is movably inserted into the inner wall of the rotating block, and a metal protective shell is fixedly connected between the outer walls of the fixing rod. Two movable slots are formed on the outer wall of the metal protective shell, and movable rods are movably inserted into the inner walls of both slots. In this utility model, through the interaction of the various components, the translation device can be fixed at a specific angle, ensuring the device body is stably upright. At this time, the user can free their hands to focus on operations such as document signing and presentations, and can directly view the device screen from an upward viewing angle to obtain the translated content expressed by the other party in real time. This effectively improves business communication efficiency, avoids information transmission obstruction, and enhances the smoothness and efficiency of business activities.

The invention relates to the technical field of reimbursement auditing intellectualization, can be applied to an artificial intelligence business scene, a financial business scene and a medical health business scene, and provides a reimbursement information auditing method, training method, device and equipment and a storage medium, and the method comprises the steps: obtaining preset reimbursement information; obtaining feature information corresponding to the preset reimbursement information based on a feature extraction sub-model of the reimbursement auditing model; determining risk indexes of the preset reimbursement information under a plurality of preset reimbursement dimensions based on the risk assessment sub-model; and based on the auditing sub-model, auditing the preset reimbursement information to obtain an auditing result corresponding to the preset reimbursement information so as to improve the auditing convenience of the reimbursement information. For a financial business scene, the preset reimbursement information comprises invoices, contracts and the like related to business activities, and can be used for financial reimbursement auditing. For the medical health service scene, the preset reimbursement information comprises a doctor-seeing fee payment voucher, an electronic medical record and the like, and can be used for medical reimbursement auditing.

The invention discloses a Kubernetes resource collaborative scaling method, a Kubernetes resource collaborative scaling system and computer equipment. The method comprises the following steps: acquiring time sequence indexes, log information and business activity data from various data sources to obtain multi-modal data; converting the multi-modal data into a structured text prompt word; reasoning the text cue word by using a large language model to generate a prediction result for HPA and CA resource demands; the prediction result is analyzed, a resource gap is judged, a strategy is made according to the result obtained through judgment, and expansion and contraction operation of nodes and Pod is executed; and collecting the scaled actual efficiency data, and generating a new training sample to continuously optimize the large language model. By implementing the method provided by the invention, data from multiple sources can be integrated, more accurate resource demand prediction is provided, and efficient collaboration between an application layer and an infrastructure layer is supported.

The invention discloses an industry classification and accounting method, which relates to the technical field of industry classification and accounting, and comprises the following steps: obtaining relevant business activities and industry-related information of typical enterprises, extracting preliminary keywords and constructing a preliminary keyword library; sorting out relevant industrial chains and expanding them into a number of industry groups; refining, supplementing, merging and deleting the industry groups to preliminarily form an industry classification; matching national economic industry codes corresponding to field subcategories with enterprises in a regional directory library to obtain a preliminary library of industry-related units; performing a vocabulary matching search on industry keywords and relevant business activities of enterprises, and preliminarily identifying the enterprises as industry-related enterprises if the vocabulary matching is successful; finally obtaining a list of enterprises classified by industry; selecting enterprises from the list of enterprises for investigation, and calculating the industry stripping coefficient of the field subcategory; calculating the industry scale by using the industry stripping coefficient and basic data of various industries in the industry; the invention is simple, highly operable and easy to promote.

The invention discloses an information management platform with user-defined configuration. The information management platform comprises a function configuration module, an authority configuration module, a template data importing module and a module for outputting data to a template, wherein the function configuration module is used for storing service data, setting management categories according to service activities, functional departments or posts, realizing function expansion, process optimization and data subdivision of services, standardized management of services and authority isolation, assistant positioning of function scenes and authority management refinement; the permission configuration module is used for configuring the access permission of the employees to the business data in the function configuration module; the template data importing module is used for customizing a data importing mode for an enterprise according to own business characteristics and importing business data to the function configuration module by adapting to a business process of the enterprise; and the data is output to the template module, a function of exporting formatted data from the function configuration module is provided, and the consistency and normalization of data formats are ensured. The service processing efficiency is improved.

The invention discloses a low-code-oriented structured demand expression method and device, a terminal and a medium, and relates to the technical field of data processing.The method comprises the steps that elements in preset business activity description are extracted, and the elements comprise a basic element, an input element, an output element, an operation element, a state change element and a process element; mapping the elements to a preset demand expression mode table to obtain a target demand expression mode table; and performing semantic and structure supplement processing on entries of the target demand expression pattern table to obtain a target demand statement. The method and the device aim at constructing structured and standard demand statements from dimensions such as business activity operation, data objects, state change, business activity circulation and dependence and the like so as to improve the accuracy and the consistency of demand-driven development in a low-code environment.

This invention discloses a rule engine-based intelligent approval method for financial shared expense reimbursement, specifically in the field of intelligent expense reimbursement approval. It addresses the challenges of unifying the handling of differences and conflicts in approval rules among participating parties in multi-party collaborative expense reimbursement scenarios, as well as the lack of risk identification capabilities in the approval process. The method identifies the business activity type of collaborative expense reimbursement requests, constructs a collaborative rule knowledge graph based on each participant's local rule engine, performs conflict detection and resolution on expense approval rule units, forming a conflict-free joint execution rule set, and generates sub-approval tasks with globally unified event identifiers. After completing local compliance verification for each participant, it further constructs cross-party execution trajectories based on the approval results and rule trigger sequences, identifies risks in the collaborative expense reimbursement execution mode, and generates a final approval decision result with risk warnings, achieving unified coordination and risk perception in complex collaborative expense reimbursement processes.

The invention relates to the technical field of data backup management, in particular to an intelligent management and control method and system for data backup of a data center, and the method comprises the steps: employing a load prediction model to analyze backup data and business activity information, and obtaining target load prediction data; according to the data type of the backup data, an initial regulation and control threshold value regulated and controlled according to the target load prediction data is verified, a target regulation and control threshold value is obtained, and the data is backed up in time while normal operation of the data center is guaranteed; and constructing a resource fragment pool, and matching idle resources for the data needing to be backed up. When a fault occurs, the total difference degree and the service weight can be determined according to the preset differentiation verification and priority recovery rule; determining a backspacing version and a data recovery sequence according to the difference degree, the service grade and the service weight; and the data is recovered based on the backspacing version, so that the problems of poor service continuity, low resource utilization rate and high operation and maintenance cost of the data center in actual operation can be solved.

The application belongs to the field of safety engineering in chemical industry production, and discloses a chemical process control system network risk analysis method based on multi-layer business process modeling and application, which comprises the following steps: analyzing the business process and data interaction relationship of the chemical process, and constructing a multi-layer business process model based on the BPMN2.0 standard; replacing the original device-centered method, an improved failure mode and consequence analysis centered on the basic business unit is proposed, the potential failure mode of the task is identified, the failure cause and consequence under different attack intentions are clarified, and the attack fault tree model is generated; finally, the risk analysis of the business activity is carried out. The application considers the role and importance of assets in the task execution process, can comprehensively cover the entire complete failure path under the integration of information security and functional safety, can more comprehensively identify the safety risks in each task link, and further improves the accuracy of risk analysis.

This utility model relates to the field of locking equipment technology and discloses a locking device with good sealing effect. The locking device includes a pipe, a sealing mechanism above the pipe, and a snap-fit ​​mechanism above the sealing mechanism. The sealing mechanism includes a cover plate, the side of which is hinged to the top of the pipe. A base chamber is fixedly connected to the bottom of the cover plate, and a rotating shaft is rotatably connected through the middle of the cover plate. The bottom of the rotating shaft is rotatably connected through the bottom of the base chamber. This locking device with good sealing effect effectively seals the gas inside the pipe to prevent leakage, which is beneficial for the normal and continuous use of the equipment, ensuring the accuracy of the pressure gauge readings, facilitating observation and data recording by operators, thereby improving equipment utilization efficiency and promoting the smooth and orderly operation of production and business activities.

The invention relates to the technical field of data processing, artificial intelligence and the like, and discloses a business activity information processing method and device, electronic equipment and a medium. The business activity information processing method comprises the following steps: receiving multi-modal data fed back for a business activity site; performing semantic feature extraction on the multi-modal data to obtain semantic feature data of different modals; performing event aggregation processing on the semantic feature data to obtain a business activity event; and generating a service activity feedback result based on the service activity event. Through the method, valuable business activity information can be extracted from complex and huge information flow, and the processing efficiency of the business activity information is improved.