81 results about "Business activities" patented technology

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 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.

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 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 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.

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.

This invention relates to the field of enterprise management technology, specifically to an intelligent prediction method and system for enterprise management indicators, comprising: a data processing module, a prediction model module, and a prediction analysis module; the data processing module processes structured and unstructured data; the prediction model module constructs a prediction model to predict business activities and financial statements; and the prediction analysis module performs sensitivity assessment on the prediction results. This system, through processing and analyzing structured and unstructured data, and by combining macro and micro perspectives, achieves the prediction of enterprise management indicators, thereby improving the universality of the prediction.

Properly implement improvements to voice communications. [Solution] A generation device 100 extracts issues related to the usage status of voice communications by users who use voice communications via a telephone network for business activities. Using the extracted issues and acquired information related to the user's business activities, the generation device 100 inputs prompts including instructions for generating a solution corresponding to the issue and a talk script in which the solution is expressed based on a predetermined story into a large-scale language model, thereby generating the solution and the talk script.

The invention discloses an enterprise cost type collection method and system, and the device comprises the following steps: business activity multi-dimensional feature collection, candidate cost label set generation, business and label correlation degree quantitative calculation, candidate label budget adequacy evaluation, optimal collection label decision and cost recording, and budget data updating. According to the method, key information of business activities can be obtained through feature collection, and the affiliated expense type is identified through quantitative calculation of business and label association degree, so that expense collection does not depend on subjective judgment of personnel any more, and by combining budget library capacity evaluation and optimal label decision, the cost is reduced, and the efficiency is improved. According to the invention, the declaration label can be flexibly adjusted, so that the declaration label can enter the most suitable budget library, the situation that the cost of the declaration label library exceeds the standard and the rest label libraries still have sufficient budget can be avoided, the reasonable and effective utilization of the overall budget resource by enterprise cost declaration is realized, and the resource distribution is ensured.

This invention relates to the field of enterprise digital management technology, and particularly to an enterprise digital operation management method and system. The method includes: acquiring business activity data, extracting the interaction strength between business activities, and clustering multiple business activities into multiple intelligent agents; extracting technical metadata from the target system's data dictionary and interface documents, constructing a metadata knowledge graph using the technical metadata, and providing data interfaces for the intelligent agents using the data knowledge graph; based on the data interfaces, each intelligent agent uses a probability prediction model to generate a probability distribution of future external variables, and makes individual decisions based on the probability distribution; determining whether there is shared resource coupling in the individual decisions of two intelligent agents, and if so, introducing a collaborative mechanism to correct their independent decisions through shadow prices so that the individual decisions reach global optimality.

The invention discloses a business activity record updating method and device, equipment and a medium, and relates to the technical field of artificial intelligence, and the business activity record updating method comprises the steps: obtaining current audio data of a business activity and context data corresponding to the business activity; processing the audio data to obtain text data; performing semantic analysis based on the text data and the context data to obtain target content; and updating the context data based on the target content.

This application provides a method for geofencing and related electronic devices. The method includes: acquiring crowdsourced data of a grid map, the crowdsourced data including data points of business activities reported by numerous electronic devices; determining grid information for each grid in the grid map based on the crowdsourced data; determining M first grid sets corresponding to the target grid based on target precision and the grid size of the target grid; determining multiple first data point sets based on the M first grid sets corresponding to each target grid in the grid map; and determining the geofence of the grid map based on the multiple first data point sets corresponding to each target grid in the grid map. Using the embodiments of this application, the accuracy of geofencing based on grid maps can be improved, thereby enhancing the user experience.

The invention discloses a full-link service activity monitoring method and system under a micro-service architecture, and relates to the technical field of micro-service architecture.The method comprises the steps that authentication information is sent to a user gateway, response information returned by the user gateway is received, and the response information at least comprises an identity credential and a gateway request identifier; generating a tracking number according to the gateway request identifier, and sending call request information to the user gateway based on the identity credential and the tracking number; using the data toolkit to collect access log information generated after the user gateway passes verification of the calling request information; after the user gateway verifies the calling request information, the calling request information is sent to the API gateway, the API gateway sends the calling request information to the micro-service and generates service processing log information, and therefore service activity monitoring is carried out according to the access log information and the service processing log information. According to the method, comprehensive monitoring of the service link is effectively realized.

We provide the system. [Solution] A means of collecting business activity data from business terminals, A means for transferring the aforementioned business activity data to a central server, The central server includes means for analyzing behavioral patterns based on the business activity data, A means for generating suggestions for improving work efficiency based on the results of the analysis of the aforementioned behavioral patterns, A means of notifying users of the aforementioned proposal on a monthly basis, A system that includes this.

The application provides a steel industry unified data model construction method based on a big data center, business is sorted through two dimensions of entity business objects and business processes, industry entity business object and business process sets are sorted out, then clustering and classification are adopted to construct an industry unified theme domain model, an entity business object standard tree and a business process standard tree of the sorted out industry entity business object and business process sets, two inherent relations of combination and derivation existing between the entity business objects are defined in the entity business object tree, relations of the entity business objects due to business activities are defined in the business process, a unified entity business object tree and a business process tree are constructed, and an industry concept graph model is constructed by adopting a knowledge graph technology, and entity definition and relation description in the unified data model construction are clarified.

To properly and more widely extract business activity recommended to a business person having unaccepted order cases.SOLUTION: A business activity support apparatus is configured to: generate a partial activity sequence indicating pre-activity and post-activity as two business activities carried out in different elapsed times, and the elapsed time when each of the pre-activity and the post-activity is executed, for each of an unaccepted order case and an accepted order case; extract, from the partial activity sequence in an accepted order case similar to the unaccepted order case, a non-executed partial activity sequence which is not matched with any of the partial activity sequence in the unaccepted order case; and determine a recommended activity sequence based on the elapsed times of the pre-activity and the post-activity in the non-executed partial activity sequence and a period of time from a start of the unaccepted order case to the current point.SELECTED DRAWING: Figure 1