182 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 provides a business travel itinerary recommendation and cost optimization method and system based on big data, and relates to the technical field of big data, and the method comprises the steps: obtaining the real-time traffic information and hotel information of a destination city; a machine learning model is utilized to analyze user travel characteristics, traffic information is intelligently screened, and a traffic scheme conforming to enterprise travel standards is generated. And determining an accommodation time interval according to the traffic scheme and the business activity time, and screening candidate hotels. And performing time sequence analysis on the air ticket price and the house fee, predicting a price fluctuation trend, determining the optimal reservation time, and generating a business travel itinerary initial scheme. And finally, pushing a travel confirmation request to a related contact person, dynamically optimizing the initial scheme according to feedback information, and outputting a final travel travel scheme with the lowest total cost. According to the invention, big data analysis, machine learning and time sequence analysis technologies are combined to intelligently recommend the business travel scheme which accords with enterprise business travel standards and has the lowest cost, so that the business travel efficiency is improved, and the business travel cost is reduced.

To provide a system including a generation AI which can determine an appropriate adviser in a company in a business activity.SOLUTION: The system has a generation AI to determine an appropriate adviser in a company in a business activity.SELECTED DRAWING: Figure 1

The invention discloses a collaborative monitoring system and method for a digital transformation process, and relates to the field of digital transformation monitoring, and the method comprises the steps: obtaining all data needing digital transformation; performing digital transformation according to an actual business process, analyzing a data relationship according to a preset process mining algorithm, constructing a business process model, and performing digital verification to generate a digital verification score; when the digital verification score is greater than a preset threshold value, verification is passed, and the collaboration degree between the activities is calculated; and performing anomaly analysis on the real-time data stream, when an anomaly is identified, marking the data of the activity of which the collaboration degree between the abnormal data and the activity is greater than a threshold value, and generating an early warning signal. According to the method, integration and multi-level association analysis of multi-source heterogeneous data are realized by constructing a direct association relationship matrix and a causal relationship set, and the accuracy and the flexibility of collaborative degree calculation among business activities are comprehensively improved by combining digital verification scores and a dynamic adaptation model.

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 an image display method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining and deploying a drawing surface, and creating the drawing surface based on an image reading class in an Android native system; taking the drawing surface as an image rendering surface, and constructing an image rendering environment; synthesizing the received camera data stream into image data based on an image rendering environment; and in response to an image display request of the front end, sending the image data, so that the surface view control of the front end renders the image data on the active page. According to the method, the drawing surface provided by the image reading class creation is bound to the image rendering environment, so that the image rendering environment can operate and synthesize the image data at the rear end, and when the business activity page is started, the surface view control is triggered to directly render the image data to the page, so that the high-performance display of the image is realized, and the loading delay of the image display is avoided.

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 provides a business data security management system and method based on big data. The method comprises the following steps: receiving business activity data flow from an enterprise internal system; dynamically analyzing an abnormal behavior mode in the business activity data flow, and evaluating the risk level of the business activity data flow in real time according to a preset security policy; automatically adjusting data encryption strength according to the risk level, and implementing fine-grained access control on high-risk data; encrypting a business activity data stream based on the data encryption strength; and when a predefined threat scene is detected, automatically triggering an early warning mechanism and generating a report, and executing corresponding protection measures according to the security policy. According to the technical scheme provided by the invention, the system not only enhances the security of business data, but also improves the efficiency and intelligent level of data management, and provides all-around data security guarantee for enterprises.

The invention discloses a supply chain data and model mapping method, integration method and system, and the method comprises the steps: obtaining the business data information of each node of a supply chain, and the business data information comprises the business activity and the data flow direction; constructing a service data flow diagram according to the service data information; constructing a service directed graph according to the service data flow graph, and obtaining a service directed graph set; obtaining a target directed graph of the model, traversing the business directed graph in the business directed graph set, and performing isomorphism judgment on the business directed graph and the target directed graph to obtain an isomorphic business directed graph isomorphic with the target directed graph; generating a data mapping rule according to the target directed graph and the isomorphic business directed graph; and establishing mapping between the supply chain data and the model according to the data mapping rule. The problems of low supply chain data integration processing efficiency, low accuracy and high cost are solved.

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 provides a construction method of an enterprise data platform. The construction method comprises the following steps: establishing a unified enterprise model UEM; matching the unified enterprise model UEM with the actual business activity to obtain a target enterprise model EM of a target enterprise; obtaining an operation process data node BPN; obtaining a data analysis demand of a data node BPN in each operation process; and establishing a detail service data table DBDT with a unique job theme for each job process data node BPN. The EDP constructed by using the pre-constructed standardized and reusable DBDT can quickly meet various possible business analysis requirements and keep data calibers in various analysis results unique, so that the data service capability of the EDP is comprehensively improved. Due to the fact that the DBDT can be directly used to form the DM layer analysis index, the development process is simplified, and the development efficiency is improved.

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.

To provide an information notification device and an information notification method using a weather radar, capable of notifying of information about a degree of risk according to a weather phenomenon for a specific region in which a business operator conducts business activities on the basis of data observed by the weather radar.SOLUTION: An information notification device acquires data observed by a weather radar, acquires weather observation data for a target region that is included within an observation range of the weather radar and is preset as a target of information notification for a weather phenomenon, predicts the state of weather that may occur in the target region for the weather phenomenon on the basis of the data observed by the weather radar and the acquired weather observation data for the target region, determines a degree of risk for the predicted state of weather that may occur in the target region, and notifies a user's communication terminal of the information about the determined degree of risk as a screen that shows the target region in a display format corresponding to the degree of risk on an image of a map including the target region.SELECTED DRAWING: Figure 5

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 utility model relates to the technical field of waste gas purification treatment devices, and discloses a waste gas purification treatment device with multi-angle adjustment, which comprises a filter bin, four sides of the filter bin are fixedly connected with pipelines in a penetrating manner, and the side surface of the filter bin is provided with an adjusting mechanism. A buckle mechanism is arranged on the side face of the adjusting mechanism, the adjusting mechanism comprises a rotating shaft, and the middle of the rotating shaft is rotationally connected with a filtering bin in a penetrating mode. According to the waste gas purification treatment device with the multi-angle adjustment function, by arranging the adjusting mechanism, waste gas in a pipeline can be discharged to various angles after being filtered and purified, so that the applicability of the device is improved, the device is suitable for the requirements of complex and changeable production environments, the working intensity of workers is reduced, and the production efficiency is improved. And the working efficiency of the equipment is improved, and stable and orderly operation of production and operation activities is facilitated.

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 invention provides a bank data processing method and device and electronic equipment, and relates to the technical field of data processing, and the method comprises the steps: in response to a transaction request, obtaining behavior data, related to a business activity of a bank, of a user in a target application program, so as to judge whether to start a risk detection function or not; if the target application program is determined to be enabled, determining an associated application program which corresponds to the target application program in the current service scene and is used for risk detection according to scene information corresponding to the current service scene; and obtaining the to-be-detected data from the interface of the application program module corresponding to the associated application program based on the preset interface, performing risk detection on the to-be-detected data and the behavior data by using the determined target detection mode, and executing the transaction operation corresponding to the transaction request after the detection is passed. And the efficiency, accuracy and flexibility of risk detection in banking business are improved.

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.