74 results about "Business development" patented technology

The invention discloses an index transaction monitoring method and device, electronic equipment and a storage medium, and relates to the technical field of transaction monitoring. The threshold range is dynamically generated based on the historical business data to adapt to the change of data distribution, the adaptive statistical test algorithm is selected in combination with the data sample size and the distribution characteristics to improve the accuracy of anomaly judgment, and personalized early warning output is performed according to the region and the business type of the auditing point. According to the technical scheme, data dynamic change and business scene diversity can be flexibly coped with, so that the technical problem that the reliability of an early warning result is reduced in the face of missing data, abnormal values and complex seasonal fluctuation, and then the real-time control and decision-making efficiency of an operator on a business operation state is influenced can be solved; the technical effects of improving the accuracy and reliability of business development index abnormity identification, reducing the false report and missing report rate, and enhancing the real-time control capability and decision-making efficiency of the operator for the business operation state are achieved.

The invention provides a user application portrait analysis and management method and device based on a large model. The method comprises the following steps: collecting data through a webpage end resource management platform, wherein the data comprises behavior data, resource use state data, historical demand information and application performance indexes of government affair cloud users; carrying out integration and classification analysis on the collected data based on a SpringBoot framework, and generating a user basic portrait; inputting the user basic portrait into a Haiyu big model for deep data mining; and predicting a user service development trend and a resource use risk in a future preset period through the Haiyu model. The scheme of the invention can combine government affair cloud service characteristics to realize an application portrait analysis management method which has prediction capability and supports intelligent decision making, and improves the insight of service providers for user demands.

This invention provides a method, apparatus, and readable storage medium for processing business data streams. The method includes: receiving a business data stream; determining a preset processing strategy based on the data stream; processing the data stream based on the preset processing strategy; and executing the processed data stream according to a preset execution method. This invention enables the pre-processing of technical details of the business data stream according to a preset processing strategy, thereby isolating the technical details of the business process from the logic editing process. This allows developers to focus solely on developing the business logic without needing to consider the technical details, thus improving business development efficiency.

1. The name of the design product: graphical user interface with investment visualization for electronic equipment. 2. The use of the design product: an electronic device; "X" in the interface represents a text, number or symbol area. 3. The design points of the design product: the content of the graphical user interface. 4. The picture or photo that best indicates the design points: interface change state diagram 2. 5. The physical product of the design is of ordinary design, and the rear view, left view, right view, top view and bottom view are omitted. 6. The use of the graphical user interface: the graphical user interface is used for the data panel display of investment three-dimensional scene and investment related information; the front view is an industrial park map, clicking the "front view" map container east area option button jumps to "interface change state diagram 1"; clicking the "interface change state diagram 1" map Xiong'an electric construction wisdom city icon jumps the page to "interface change state diagram 2"; clicking the left list cloud wisdom port No. 1 building in "interface change state diagram 2" enters "interface change state diagram 3" page; clicking the three-dimensional sand table-key building button below "interface change state diagram 3" switches the page to "interface change state diagram 4".

The invention discloses a componentized application access control implementation method, device and equipment and a storage medium, and the method comprises the steps: packaging a development access control function into a SpringBoot-based access control component, and deploying the access control component; introducing the access control component through a dependency management tool, and configuring an access control rule; when it is detected that a user accesses the application system, intercepting a user access request through the access control assembly and performing control according to the access control rule; the method can support the combination of a plurality of control rules at the same time, meets the diversified demands of business development, achieves flexible, efficient and easy-to-maintain access control, thoroughly eliminates the repeated investment of traditional customized development, is finer in control granularity through modular design, can achieve the more flexible access control of an access object, and improves the access control efficiency. And the implementation cost and the operation and maintenance complexity are obviously reduced.

The invention discloses a financial business processing method and device, electronic equipment and a program product, and relates to the field of financial science and technology, and the method comprises the steps: receiving a business processing request applied by a calling party, and extracting a business scene and a plurality of business processing flows from the business processing request; based on the service scene and the service processing flow, a plurality of minimum service units required by each service processing flow are selected, and each minimum service unit comprises a minimum executable module with service functions after system functions are split; performing permutation and combination on all the minimum business units according to a business processing flow to obtain a business development function combination; and embedding the service development function combination into the calling party application system, and executing each service processing flow by the calling party application system. According to the method and the device, the technical problems that functions are easily inconsistent and are difficult to maintain when cross-application function sharing is carried out by adopting a source code copying strategy in a software development process in related technologies are solved.

The invention discloses a credit card user marketing business distribution method and system, and the method comprises the steps: carrying out the analysis of the basic data of a credit card user through employing a multivariate statistical analysis method, and obtaining a first target user; classifying the first target users according to the regional information to form a plurality of second target users, and distributing the second target users to corresponding regional banks; determining a marketing mode according to the credit card use information of the second target user; determining a marketing scheme of the second target user according to the credit card consumption information of the second target user; and pushing the corresponding marketing scheme to the second target user according to the marketing mode of the second target user, evaluating the marketing effect, and optimizing the influence strategy according to the evaluation result, so that the method effectively improves the efficiency and accuracy of credit card customer management. Effective marketing can be implemented for stock customers, and the consumption permeability is improved. Banks are helped to realize business development, market competitiveness is enhanced, customer experience is improved, and customer satisfaction and loyalty are improved.

The application particularly relates to a large model-based home guest network industry collaborative planning and decision method. The large model-based home guest network industry collaborative planning and decision method collects network data, business data and customer data of a home guest network, integrates the data into a unified data warehouse after preprocessing, and establishes an association relationship; demand and target of planning and decision are self-defined, current real-time data are input into a large model after preprocessing for inference calculation to generate a plurality of candidate schemes; an optimal scheme is determined through comprehensive evaluation, the scheme is decomposed into specific implementation tasks, an implementation plan is formulated, and resources are allocated for implementation. The large model-based home guest network industry collaborative planning and decision method realizes accurate matching of network resources and business development, improves operation efficiency and service quality of the home guest network, reduces operation cost of the enterprise, enhances core competitiveness of the enterprise in the market, and provides more high-quality and more personalized network service and business experience for home guest users.

This invention discloses a method, system, storage medium, and electronic device for dynamically assembling intelligent ship business processes. The method includes the following steps: classifying ship data into APIs based on the type and / or correlation and / or accuracy of the ship data; identifying the rule engine for each API category based on the ship business requirements corresponding to each API category; identifying the associated API categories of the business to be assembled based on the goal of the business to be assembled; constructing the rule engine for the business to be assembled based on the correlation and / or conflict of the rule engines corresponding to different associated API categories; and constructing the program workflow for the business to be assembled based on the rule engine and the goal of the business to be assembled, and encapsulating it to obtain a new business. This invention solves the problems of poor scalability, long development cycle, and lack of industry-specificity in existing intelligent ship technologies, which lead to poor flexibility and high difficulty in business development.

The invention relates to a box type recommendation method, computer equipment, a readable storage medium and a program product, relates to the technical field of intelligent logistics and supply chain optimization, and can adapt to complex and changeable logistics business scenes. The method comprises the following steps: acquiring multi-dimensional feature information in a logistics business development process; the multi-dimensional feature information comprises cargo feature information representing physical attributes of first cargoes to be boxed, box type feature information representing physical attributes and bearing performance of a plurality of available box types, and business scene feature information representing logistics business requirements; determining a plurality of first three-dimensional models and a first box type matching degree between each first three-dimensional model and a plurality of candidate box types according to the multi-dimensional feature information; the first three-dimensional model represents a possible placement combination of the first goods, and the first box type matching degree represents feasibility of placing the first three-dimensional model in a box body corresponding to the candidate box type; and according to each first box type matching degree, determining a recommended box type of the first cargo in each candidate box type.

The invention provides a cloud product resource use condition determination method and device, a processor and a storage medium, and belongs to the field of computers, and the method comprises the steps: obtaining resource data of a cloud product; wherein the resource data comprises static asset data and dynamic business data; counting the resource data according to a plurality of preset dimensions to generate corresponding standard measurement data; wherein the preset dimension comprises but is not limited to a capacity management unit, a technology stack and an available area; executing a calculation task on the standard measurement data based on a preset calculation rule to generate a resource configuration result; wherein the calculation rule is determined based on historical dynamic business data; and carrying out visual display on the resource configuration result. Through the method, different heterogeneous data sources are unified, so that the resource configuration decision can closely follow the actual demand of business development, and the resource utilization rate, the cost effectiveness and the overall management efficiency are improved.

The invention discloses a double-index measurement method and related equipment for reuse efficiency of a basic development framework, and the method comprises the steps: obtaining the business development workload, baseline workload and newly-added workload of a target project, and calculating the reuse net saving amount and a reuse efficiency index; obtaining a business code line number and a frame component code line number of the target project, obtaining a component comprehensive score, mapping the component comprehensive score into a conversion weight according to a preset mapping interval and a mapping parameter, and further calculating a code conversion reuse rate index; and combining the multiplexing efficiency index and the code conversion multiplexing rate index to determine a multiplexing efficiency measurement result, and calibrating the mapping interval and the mapping parameter through historical data. According to the embodiment of the invention, the authenticity and rationality of the multiplexing efficiency measurement result can be effectively improved by calculating the dual-measurement index and calibrating the code conversion process based on the historical data. The method can be widely applied to the technical field of multiplexing performance evaluation.

The online telecommunications data migration method and device provided in this embodiment of the invention obtains the users to be migrated, locks the telecommunications data of the users to be migrated at the source end, and records the telecommunications data of the users to be migrated in a migration detail table; performs a migrationability verification on the telecommunications data of the users to be migrated, and if the verification passes, converts the telecommunications data according to the data format that the receiving end can receive, and records the converted telecommunications data in a conversion intermediate table; migrates the telecommunications data in the conversion intermediate table to the receiving end, records the telecommunications data migrated to the receiving end in a migration detail table, and locks it; after the telecommunications data migration is completed, unlocks the telecommunications data in the migration detail table, and deletes the migration detail table and the corresponding telecommunications data at the source end. The method provided in this embodiment enables the migration of user information without system shutdown, does not affect business development, and ensures resource consistency.

The invention provides a business development framework for realizing an AI Agent based on AI, RPA and LLM, the business development framework comprises a basic framework layer, a first business application layer and a second business application layer, the basic framework layer is used for providing various components for the business application layer, and the various components are packaged with reusability technology components required by various business development; the first business application layer is used for packaging a reusable general business application formed through business scene precipitation so as to directly call the general business application to carry out business development; and the second business application layer is used for calling a target component and / or a general business application required by the business scene in the basic framework layer according to the business scene developed by the user to form a customized business application so as to carry out business development. Therefore, on the basis of the AI, the RPA and the LLM, each layer of the service development framework of the AI Agent is single in responsibility, independent expansion and maintenance are facilitated, and the multi-service-line development efficiency can be remarkably improved on the premise that safety and performance are guaranteed through the layered framework.

The application belongs to the technical field of data processing, and discloses a business request processing method, device, equipment and storage medium, the processing method comprising: constructing target structured knowledge; retrieving a candidate intent label set composed of a target standardized knowledge unit and an intent label from the target structured knowledge base; constructing prompt information based on the retrieved target standardized knowledge unit and the candidate intent label set corresponding to the target standardized knowledge unit; inputting the prompt information into a large language model to output a target intent label in the candidate intent label set; matching and calling a target function module corresponding to the target intent label from a pre-set pluggable function module library, and executing a business request through the target function module. The application can be applied to financial technology, medical health and other business management systems, and solves the technical problems of low business processing efficiency, high error rate, high expansion cost and difficulty in adapting to the current multi-scene and fast iteration business development trend of the prior art.

The invention relates to an accounting intelligent data analysis platform and method, and belongs to the technical field of accounting. The platform comprises a background support module, an application service module, an accounting knowledge base, a plurality of MCP servers, an agent main control module and an accounting intelligent assistant client. According to the invention, a natural language interaction interface is provided for accountants, trend analysis and correlation analysis are carried out on accounting business data and report data, dynamic parameters of a report risk monitoring model are supported, static parameter setting of the report risk monitoring model is supported, and the report risk monitoring efficiency is improved. Problems in accounting reports and businesses are found through the development trend of report data items and data item correlation, the business development situation is predicted through the development trend of business data, and decision support capacity is provided for accounting business development.

The invention discloses a workflow engine-based data processing system and a workflow engine-based data processing method in semiconductor manufacturing. According to the system, a request receiving module, an activity processing module, a rule scheduling module, a working rule execution module, a rule response module, a site change module and a control module work cooperatively. The method comprises the following steps: receiving a processing request containing a data object identifier and an operation type; calling an activity processing template of the predefined public logic and the user-defined logic; the rule scheduler analyzes the current state and schedules the atomized working rule instance; dynamically executing the rule response instance to determine the next logic; and node switching is processed through the site change function. Public logic and business logic are separated through modular design, data consistency is ensured through transaction isolation, dynamic rule registration and flexible process arrangement are supported, and business research and development efficiency, system flexibility and complex scene processing capacity are remarkably improved.

The embodiment of the invention discloses a data transmission and analysis method and system. The method comprises the following steps: edge gateway equipment acquires operation state data of energy equipment connected with the edge gateway equipment; the edge gateway equipment encapsulates data fields in the running state data in a key value pair form to generate a structured message; the edge gateway device uploads the structured message to a cloud platform; and the cloud platform receives the structured message and extracts a numerical value corresponding to each data field by traversing the key value pair. By means of the mode, the data are packaged in a key value pair mode, a cloud platform can directly extract data fields without relying on register address offset calculation and binary bit analysis, data analysis complexity and development and maintenance cost are remarkably reduced, data readability and system expansibility are improved, and data processing efficiency is improved. And the new fields can be conveniently and flexibly added to adapt to business development requirements.

Methods, systems and products for real-time collateral recommendation for business development representatives (‘BDR’) is presented, including receiving communications between a BDR and a customer across disparate communications channels, each channel comprising a channel type, channel communications protocol, and channel form. Embodiments include normalizing the disparate communications in dependence upon normalization rules, synchronizing the disparate communications in dependence upon a set of rules appropriate to the end task including an occurrence of the disparate communications in time order, summarizing the normalized communications in dependence upon summarization rules, creating semantic triples in dependence upon the summarized and normalized communications including applying a sales-directed taxonomy and ontology; identifying one or more insights in dependence upon the semantic triples; and selecting, in real-time in dependence upon the identified insights, real time collateral for the BDR related to the communications between the BDR and the customer; and presenting the selected real-time collateral to the BDR.

The invention discloses an abnormal account disposal method and device, equipment, a storage medium and a program product, and is applied to the field of abnormal account disposal, and the method comprises the steps: obtaining operation data of an abnormal account, processing the operation data into a time-aligned structured sequence, and obtaining time sequence behavior data of the abnormal account; extracting a data sequence of a preset time window to obtain a first feature vector; obtaining configuration information of each first processing strategy, and generating a second feature vector; inputting the first feature vector and the second feature vector into a cost evaluation model to obtain a fused feature vector; inputting the fusion feature vector into a cost evaluation model to obtain a cost evaluation parameter; a service influence cost network and a risk suppression effect network are included; comprehensive calculation and sorting are carried out on the cost evaluation parameters of the first disposal strategies, and a second disposal strategy is determined; and processing according to the second processing strategy. According to the method, decision pertinence and accuracy can be improved, and balance between risk control and business development is realized.

This invention discloses an intelligent early warning and closed-loop management system for financial business risks, including a risk data center, a risk scanning module, a risk prediction module, a risk rating module, a work order management module, a handling tracking module, a feedback statistics module, and a model optimization module. This invention uses the feedback statistics module to quantitatively evaluate the accuracy of early warnings and the timeliness of handling, and automatically collects false positive and false negative samples. Utilizing this real business feedback data, the parameters of the decision tree model are dynamically adjusted, and the logistic regression model is incrementally trained, enabling the early warning model to continuously iterate and evolve with business development and data accumulation, adaptively reducing false positives and false negatives, forming a complete management closed loop of early warning-handling-feedback-optimization, ensuring the long-term effectiveness and vitality of the system.

This invention discloses a collaborative management method for publishing business processes, belonging to the field of collaborative management technology for publishing business processes. The method includes: streamlining the entire publishing industry chain business processes, extracting the main processes, and clarifying the roles, operation nodes, execution standards, and time thresholds for each process; establishing unified data standards, cleaning and verifying data, and constructing a correlation model; establishing a multi-role collaborative task allocation mechanism to achieve process node linkage and visualized collaborative work; constructing a multi-dimensional monitoring indicator system to collect data in real time and trigger anomaly warnings; automating the settlement and accounting of royalties and fees based on collaborative data and rules, generating documents and pushing them to the financial system; and collecting business and feedback data to establish an optimization model. This invention standardizes publishing business processes, improves cross-role and industry chain collaboration efficiency, automates settlement and accounting to reduce errors, and enables the system to continuously adapt to business development through self-optimization, providing strong support for the high-quality operation of publishing businesses.

The invention relates to the technical field of financial information systems, in particular to a compliance management system and method for corpus data developed based on financial businesses, and the system comprises a corpus sequence management module, a role behavior extraction module, a risk chain recognition module, a semantic trend recognition module and a violation path calibration module. According to the method, an interaction round structure is constructed through roles, sequences and time information of statements, context and time sequence association is defined, the semantic recognition integrity is improved, a subject-object structure and verb combination is extracted around a business object, a semantic action chain is constructed, and continuous changes of an operation mode and role behaviors are recognized; through analyzing evolution of mood, emotion and modification items, judging transformation of expression tendency, revealing potential violation intentions, combining speaking frequency, object focusing and content organization characteristics, and accurately screening repeated mention and guidance tendency content, risk identification under a semantic chain is realized, and review precision and coverage capability are improved.

The present application relates to the technical field of enterprise digitization service, in particular to a construction method of enterprise service application system based on Internet, which firstly constructs a minimum atomization system base, completes the standardized atomic encapsulation of the minimum granularity of business capability and the construction of full-dynamic microkernel architecture; secondly, the full-dimension operation carbon footprint of the user is collected without sensing and semantic analysis is completed, which is converted into structured business intent data; then a unified demand decision hub is built, two types of demands of function growth expansion and optimization contraction are synchronously identified and priority quantization sorting is completed; finally, double-line self-adaptive optimization is executed in parallel based on the atomization base, and all optimizations are completed in the way of hot deployment. The present application realizes the dynamic adaptation of enterprise service system and business development, and solves the problem of rigidity of traditional system architecture, disconnection between iteration and business demand.

This invention provides a bidding project management system based on the identification of bid-rigging and collusion behaviors. The system identifies and classifies bidding enterprise data and bidding project data, extracting a basic material database; analyzes historical bid-rigging and collusion case data of bidding projects to establish a bid-rigging and collusion case database; performs multi-scale analysis and calculations based on the basic materials of bid-rigging and collusion to obtain multi-angle bid-rigging and collusion identification indicators corresponding to the project entities; then determines the distribution and business status of bid-rigging and collusion entities based on the bid-rigging and collusion identification indicators, and formulates matching processing measures based on the business scoring of the entities, providing support for the business development and bidding audit work of current and related projects. This solution overcomes the problems of low data utilization and insufficient accuracy of analysis results in existing research, using big data technology to analyze historical business data and bid-rigging and collusion case data of bidding-related entities, identifying bid-rigging and collusion risks and providing assistance for business decision-making.

This application provides a data processing method and apparatus for regulatory reporting, relating to the field of data processing technology. The method includes: parsing an acquired regulatory reporting requirement document to determine a set of requirement attributes, wherein the set of requirement attributes includes multiple requirement attributes; determining the source application system corresponding to each requirement attribute and obtaining a pre-established transaction log data table of the source application system, wherein the transaction log data table includes multiple transaction log records, and the transaction log data stores event numbers and multiple transaction attributes; performing an extraction operation on each source application system to obtain multiple regulatory reporting intermediate files; and summarizing the transaction attributes belonging to the same event number in each regulatory reporting intermediate file based on the event number to generate a regulatory reporting result file. This application can realize the correlation processing of data between different application systems on the same business chain, reduce the coupling of regulatory reporting business development, and shorten the regulatory reporting business launch cycle.

The invention discloses a data lake-based data service generation method and device and a readable storage medium, and the method comprises the steps: receiving a data processing request initiated by a user, the data processing request comprising data items selected by the user from a plurality of heterogeneous data sources; analyzing the data item to generate a data processing logic, converting the data processing logic into a target query representation used for being executed in the data lake, obtaining data from the data lake by executing the target query representation, generating a target data set, and constructing a data blood relationship of each field in the target data set; and packaging the target data set into a data service with an access interface, and providing a blood relationship query function for an upstream data source and a downstream dependent entity of any field in the target data set based on the data blood relationship. According to the technical scheme provided by the invention, the convenience of data query and the business development efficiency can be remarkably improved.

The invention relates to the technical field of human resource management, in particular to an expert talent performance management service system, which comprises a data acquisition module; a screening module which is connected with the data acquisition module and is used for determining the project contribution degree and the dynamic adaptation degree of the first-level target and calculating a first-level target evaluation value based on the project contribution degree and the dynamic adaptation degree so as to screen a second-level target based on the first-level target evaluation value; a depth screening module which is connected with the screening module and is used for carrying out three-dimensional depth portrait analysis on the screened second-level target so as to determine a third-level target; a target management library module which is connected with the deep screening module and is used for screening a fourth-level target based on the deviation between the development track of the third-level target and the business development track and the change rate of the third-level target, and constructing a target management library based on the fourth-level target; according to the method, the business management efficiency is improved by improving the analysis accuracy of the target management library establishment process.

1. The name of the design product: business development operation analysis graphical user interface for electronic equipment. 2. The use of the design product: for an electronic device. 3. The design points of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design points: front view. 5. Other faces of the electronic device are conventional designs, and other views are omitted. 6. The use of the graphical user interface: the interface is used for data display, showing multi-dimensional business development operation data to the user, the interface shown in the front view is the initial interface, in the interface shown in the front view, clicking "xxxxx" below "active user" in the upper left corner enters interface change state diagram 1, in interface change state diagram 1, sliding the page to the left enters interface change state diagram 2.

The embodiment of the present application relates to the technical field of data processing, and discloses a data recommendation method, which comprises the following steps: determining a business scenario; determining a target data portrait corresponding to the business scenario according to a recommendation model; the recommendation model is determined according to the association relationship between a plurality of data portraits and selectable scenarios; wherein the data portrait is used for describing the characteristics of a data item in the whole life cycle; the data portrait and the association relationship are determined according to the metadata corresponding to the data item; and the business support data corresponding to the business scenario is determined according to the target data portrait. In the above manner, the embodiment of the present application improves the accuracy of data utilization in business development and the efficiency of business development.