362 results about "Business management" patented technology

The invention relates to an improved NSGA-III-based multi-target geographic site selection optimization method and system, belongs to the technical field of optimization in business management and resource planning, and particularly relates to resource allocation and site selection decision making by using a calculation model. The technology aims to solve the problems of slow scheme convergence, non-uniform solution set distribution and low calculation efficiency when multi-target site selection is carried out under limited resources. According to the scheme, geographic space data is preprocessed, and an initial population representing different site selection schemes is generated; carrying out optimization iteration by adopting an improved NSGA-III algorithm, and calculating a plurality of objective functions such as coverage rate, normalized population density and medical service accessibility; and performing individual selection and population updating by utilizing improved reference point generation and vertical distance measurement. The method is mainly used for improving the efficiency and effect of commercial and municipal decisions such as urban planning, medical resource configuration, energy station layout and logistics network optimization.

The invention discloses a data processing method and system based on a business management platform, particularly relates to the technical field of advertisement putting business management, and is used for solving the problems of difficulty in abnormal attribution and low decision-making efficiency caused by dimension data isolation of an existing system. The method comprises the following steps: synchronously acquiring a channel dimension click rate and a contact dimension blacklist interception rate; when the channel click rate is abnormally reduced, extracting a blacklist interception log associated with the corresponding channel and a product dimension conversion rate; user behavior path topology distortion intensity and decision manifold compactness caused by a blacklist strategy are verified based on an interception log; when the distortion intensity exceeds a threshold value or the compactness is lower than a threshold value, backtracking an advertisement exposure user path of a corresponding channel product; analyzing time sequence association of blacklist interception nodes and product exposure nodes in the path, and generating a candidate root cause set; and detecting the product conversion rate fluctuation direction in the abnormal time period, thereby determining the root cause from the candidate set, and remarkably improving the operation decision-making efficiency and accuracy.

The invention relates to the field of business management, in particular to a production and manufacturing resource scheduling-oriented mixed integer programming optimization system, which comprises six modules: a data acquisition module acquires industrial big data streams; the data mapping module processes the data flow and constructs a real-time data model; the dynamic modeling module is used for automatically generating a mixed integer programming model according to a built-in steel production process model library based on a real-time data model; the model solving module generates a resource scheduling scheme through an optimization engine; the instruction analysis module analyzes a specific management and operation instruction; and the scheduling recalculation module starts a new round of mixed integer programming modeling and solving according to the increment information. According to the system, information such as resources is summarized through a mixed integer programming method, a specific production instruction is generated through a solver, a new round of modeling and solving are started when an accident occurs, rapid and accurate response to resource scheduling is achieved, and the response efficiency of resource scheduling and the reliability of the system are improved.

The invention relates to a large-model water conservancy business intelligent arrangement calculation method and system. The method comprises the following steps: obtaining hydro meteorological data, hydraulic engineering data, ecological protection data and business management data containing a cross-regional cooperation framework and a scheduling principle, and fusing to generate a hydraulic engineering data set; constructing a water conservancy digital twinborn body based on the water conservancy data set; deducing the water safety situation change through a preset environment evolution model; when the water safety situation change reaches a preset threshold value, analyzing a cooperation framework and a scheduling principle in the service management data through a decision engine based on the situation change and the digital twin, and generating a water conservancy service scheme containing a cross-domain cooperation constraint condition; analyzing the cross-domain collaborative constraint condition by adopting a graph neural network, and generating a multi-service logic topological graph; and generating a water conservancy business execution instruction sequence based on the structural features of the topological graph. According to the invention, water conservancy business full-process intelligent decision-making and cross-domain cooperative scheduling are realized, and the water safety guarantee capability is improved.

The invention belongs to the technical field of artificial intelligence, and relates to a sensitive information-based file tracing method, which comprises the following steps of: performing text recognition on a to-be-traced file based on a text content recognition technology to obtain a content recognition result; performing sensitive information matching on the content identification result through a preset sensitive information identification strategy; determining that the file to be traced contains sensitive information, generating sensitive file identification information and recording user information; in response to an operation behavior of a user on the to-be-traced file, obtaining operation information, and calling an integration tool to inject the user information and the operation information into the to-be-traced file to generate file integration information; and generating a traceability chain based on the sensitive file identification information and the file integration information. The invention further provides a file traceability device and equipment based on the sensitive information and a storage medium. The method can be applied to business management program systems of financial science and technology, medical treatment and the like, the source, the circulation path and the final destination of the file can be clearly presented, and full-life-cycle management of the file is achieved.

The invention belongs to the technical field of artificial intelligence, and discloses a CNN-based call quality inspection method, device and equipment and a storage medium, the CNN-based call quality inspection method comprises the following steps: inputting a word vector sequence obtained by converting a target text corresponding to a target seat call into a preset sentiment analysis model to obtain a sentiment tag corresponding to the target text; analyzing the importance degree of each word vector in the word vector sequence to obtain a keyword vector in the word vector sequence; performing named entity recognition on each word vector in the word vector sequence to obtain an optimal entity tag sequence corresponding to the word vector sequence; and splicing the audio feature, the emotion tag, the keyword vector and the optimal entity tag sequence, inputting the obtained multi-modal fusion feature into a preset evaluation model, and outputting to obtain a quality inspection result. The method and the system can be applied to business management systems of financial science and technology, medical health and the like, and solve the technical problem that efficiency and quality cannot be considered in a call quality inspection mode based on the prior art.

The invention provides an aero-engine test whole-process business management method and system, and belongs to the technical field of whole-process business management, and the method comprises the steps: extracting information in a test item information document and a tester information document, and determining structured data; on the basis of the structured data, forming an initial test plan, performing test personnel allocation optimization on the initial test plan, and determining a target test plan; generating a target test card on the basis of the target test plan, and continuously updating the target test card by adopting an editable block chain according to the data in the test process until the test is finished; and after the test is finished, the operation authority of the target test card is removed, and non-tampered and decentralized aero-engine test whole-process business data is formed. The information utilization efficiency of each link is effectively improved, the distribution rationality of testers is improved, and the safe storage of test data is ensured.

The invention relates to the technical field of engineering digitization and information, and discloses a water conveyance tunnel BIM model engineering management business application method, which comprises the following steps: carrying out management business carding, and determining an engineering unit hierarchical structure; uniformly coding the data information related to the management service and the hierarchical structure data of the engineering unit to form a service data coding result and an engineering division coding result; creating a water conveyance tunnel BIM model, and endowing model components with the codes to form BIM data carrying code information; inputting the business data and the BIM data carrying the coding information into a digital construction and management system, and associating the business data and the BIM data by using a common coding identifier; based on the association, business management digital applications of investment, progress, quality, safety and the like are carried out in a digital construction and management system. Through standardized data sorting and coding, fusion of the BIM model and engineering management business is realized, the problem of data splitting is solved, and the refinement and digitization level of water conveyance tunnel engineering management is improved.

The invention relates to the technical field of insurance business management, and discloses a multi-level-oriented insurance business index dynamic monitoring and intelligent decision-making system, which comprises a data acquisition module used for acquiring multi-level business data involved in an insurance business process in a multi-source manner, and the multiple levels comprise at least two levels with different management dimensions; and the data processing and standardization module is connected with the data acquisition module and is used for cleaning, converting and standardizing the acquired multi-level business data to generate structured data in a unified format. By constructing a multi-level index system and realizing dynamic monitoring of cross-dimensional business data, and combining intelligent early warning and root cause tracing functions, changes of operating indexes of each level can be linked in real time, so that insurance enterprises can accurately master operating states from high-level management to basic-level business links, quickly identify abnormities and position roots, and the safety of the insurance enterprises is improved. And the limitation of data splitting of each level and each dimension in traditional index monitoring is effectively broken through.

The invention discloses a dialogue type business intelligent analysis method based on a natural language, and relates to the technical field of business management systems, and the method mainly comprises the steps: recognizing the intention type of a user intention contained in a natural language request through a general large language model; according to the identified specific intention type, calling a corresponding special analysis module to perform semantic analysis and parameter extraction on the natural language request so as to generate an operable analysis instruction; calling a business intelligent system data interface to execute the analysis instruction, and obtaining corresponding structured data from a business intelligent system data warehouse; and generating a comprehensive analysis report which is matched with the identified intention type and the corresponding structured data and comprises visual elements and analysis explanations based on the identified intention type and the corresponding structured data. According to the method, the intention type of the natural language request of the user is understood through the large language model, so that the user with a non-professional background can easily perform complex data exploration, and the use threshold is reduced.

The invention discloses an enterprise business process reconstruction model realized through cloud service, which belongs to the field of cloud computing and business processes and comprises a space-time alignment data lake module, a self-evolution model reasoning module, a process optimization engine module, a real-time dynamic adjustment module and a digital twinning deployment module. By means of the model, multi-source heterogeneous business data can be effectively processed and integrated, and automatic optimization and reconstruction of the business process are achieved on the basis. Meanwhile, the optimized business process model can be executed in real time by realizing synchronization with a physical execution terminal. In the execution process of the business process, the stability and reliability of the business process are ensured by monitoring and processing abnormal conditions in real time. According to the model, the advantages of cloud services are fully utilized, the efficiency and quality of enterprise business process reconstruction are effectively improved, and a remarkable optimization effect is brought to business management of enterprises.

The invention belongs to the technical field of artificial intelligence and big data, and relates to a database retrieval method which comprises the following steps: in response to an update request for a target field in a user data table, obtaining an initial primary key number of the user data table; acquiring a preset initial step parameter, and establishing a retrieval range according to the initial primary key number and the initial step parameter; retrieving a target field in the user data table according to the retrieval range to obtain a retrieval hit result; and extracting an updating strategy from the updating request, and performing data updating on the target field in the retrieval hit result according to the updating strategy. The invention further provides a database retrieval device, computer equipment and a storage medium. The method can be applied to business management program systems of financial science and technology, medical treatment and the like, and the problems that the retrieval process time is prolonged and the retrieval updating efficiency is low in existing database retrieval can be solved.

An artificial intelligence-based business management system for real-time decision optimization, consisting of: a data acquisition unit configured to ingest structured, semi-structured and unstructured data streams from enterprise resource planning (ERP) systems, customer relationship management (CRM) platforms, Internet of Things (IoT) devices, external market feeds and financial transaction systems, encrypting, timestamping and verifying the data prior to further processing; a graph processing unit that is communicatively connected to the said acquisition layer, wherein the unit is configured to encode heterogeneous data into dynamic graph structures comprising nodes representing business entities and edges representing transaction or relationship dependencies, wherein the unit is further configured to perform deduplication, metadata tagging and real-time data synchronization; a decision optimization unit operationally linked to the graph processing unit, wherein the decision optimization unit includes modules for reinforcement learning, modules for Bayesian optimization and multi-objective solvers configured to simulate multiple alternative decision paths and select an optimal path based on performance indicators such as cost efficiency, resource utilization, customer satisfaction and risk minimization; a real-time inference control unit with specialized hardware cores, including at least one graphics processing unit (GPU), a field-programmable gate array (FPGA) and an application-specific integrated circuit (ASIC), wherein the accelerator performs inference tasks of the decision optimization unit with a latency in the millisecond range; a diagnostic processing unit configured to generate causal diagrams, feature mapping maps, and interpretable result summaries according to the optimization outputs; and a control interface unit configured to transmit optimized decisions to process controls within the enterprise, robot actuators, planning systems or interactive dashboards, with the interface supporting bidirectional communication for higher-level interventions, error feedback and triggers for re-optimization.

The invention belongs to the technical field of artificial intelligence and block chains, and relates to a claim settlement auditing method, which comprises the steps of obtaining a to-be-audited claim settlement material; performing image recognition on the to-be-audited claim settlement material, and extracting key claim settlement information; generating a target hash value according to the key claim settlement information and storing the target hash value to the block chain; obtaining a to-be-audited claim settlement material associated with the target hash value from the block chain by adopting a trained claim settlement auditing model, and performing authenticity identification on the to-be-audited claim settlement material to obtain a target authenticity result; and if the target authenticity result is that the material is real, obtaining a predefined auditing rule, and generating a target claim settlement scheme according to the auditing rule and the key claim settlement information associated with the target hash value. The invention further provides a claim settlement auditing device, computer equipment and a storage medium. The method can be applied to business management program systems such as financial insurance, and the insurance claim settlement efficiency and the risk prevention and control capability can be improved.

The invention belongs to the technical field of artificial intelligence, and discloses a statement priority classification method and device, equipment and a storage medium, and the statement priority classification method comprises the steps: processing to-be-sorted statements in a target statement set based on a preset TF-IDF algorithm, and obtaining the weight of each lexical item in the to-be-sorted statements; extracting context-related vectors of lexical items in the to-be-sorted statements; fusing the weights of the lexical items and the context-related vectors of the lexical items to obtain mixed feature vectors of the lexical items; and for a target to-be-sorted statement in the to-be-sorted statements, inputting the mixed feature vector of each lexical item in the target to-be-sorted statement into a preset model, and outputting to obtain a priority category of the target to-be-sorted statement in each to-be-sorted statement. The method and the system can be applied to business management systems of financial science and technology, medical health and the like, and solve the technical problem that the problem of higher urgency caused by insufficient capability of business personnel cannot be handled in time in the prior art.

The invention relates to the technical field of business management, and discloses a title generation method, device and equipment, a storage medium and a computer program product, the method comprises the following steps: responding to a user title generation demand, analyzing an access token carrying a user identity, generating a user context, and sending the user context to a user terminal; the user context comprises permission attributes, business data and environment variables, a title template matched with the permission attributes is screened out from a rule base, the rule base comprises a plurality of permission conditions and a plurality of title templates, the title template is filled with the user context, and a target title is generated. According to the method, the context of the user is obtained in real time by analyzing the access token, the permission attribute, the service data and the environment variable serve as real-time input, the permission condition-title template pre-stored in the rule base is driven to complete matching and filling, codes do not need to be compiled or modified for each user or data state, and the user experience is improved. The title content is updated along with the user identity and the service scene, and the defect of frequent code modification is avoided.

The invention belongs to the technical field of data processing, and discloses a data batch processing method, device and equipment and a storage medium, and the batch processing method comprises the steps: obtaining all tasks classified into a preset target category, and forming a target task set; setting target identification information corresponding to the target category, and associating the target identification information to each task in the target task set; submitting each task in the target task set to a thread pool; for a target task in the target task set, after the target task is successfully submitted to the thread pool, obtaining a task tracking object corresponding to the target task; and when the execution state of the target task determined according to the task tracking object is execution abnormity, performing rollback on each task in all the target task sets corresponding to the target identification information. The method can be applied to business management systems of financial science and technology, medical health and the like, and solves the technical problem that high batch task processing efficiency and state consistency cannot be ensured at the same time.

The invention discloses a credit business management method and device, electronic equipment and a program product, and relates to the technical field of blockchains, and the method comprises the steps: matching a target credit template from a template library according to business parameters in a credit request, carrying out the parameterization filling, and obtaining an intelligent contract draft, broadcasting the smart contract draft to a plurality of role nodes with authority in the alliance chain network, receiving operation results and signature results fed back by the plurality of role nodes, aggregating the multi-party signature results into a threshold signature under the condition that the operation results indicate that the smart contract draft meets a multi-party threshold signature condition, and sending the threshold signature to the alliance chain network. Writing the signed smart contract into a block chain account book, and updating the state of the smart contract to be an effective state; and in response to the credit request, executing a credit business operation associated with the smart contract. According to the invention, the technical problems of time and labor consumption and easy delay in the credit approval process in the prior art are solved.

The invention belongs to the technical field of artificial intelligence, and relates to a content review method, which comprises the following steps: obtaining marketing content to be reviewed, and determining a data type of the marketing content; obtaining a target content classification model according to the data type; classifying the marketing content by adopting a target content classification model to obtain a marketing content type; obtaining a pre-constructed review knowledge base, and retrieving from the review knowledge base according to the marketing content type to obtain a target review basis; and inputting the marketing content and the target review basis into a content review model, and performing illegal content judgment on the marketing content according to the target review basis to obtain a content review result. The invention further provides a content review device, computer equipment and a storage medium. The method can be applied to a business management program system of financial insurance, and can reduce the manual review cost of marketing materials and shorten the review period.

The invention provides an automatic process management method and system applied to foreign trade business intellectualization, and relates to the technical field of foreign trade business management.The method comprises the steps that firstly, initial order data, preset document template data, logistics resource configuration data and order change data of foreign trade business are obtained and integrated to form a foreign trade business total data set; then, carrying out change influence definition processing on the order change data, and determining influenced foreign trade business links and associated data; performing linkage adaptation processing on the associated data based on a defining result, and adjusting preset document template data and logistics resource configuration data; according to a linkage adaptation processing result and a foreign trade business process knowledge base, generating operation execution instructions of all links; finally, the instructions are distributed to the corresponding execution main bodies according to the execution sequence, operation execution results are received and integrated to form feedback information, automatic and intelligent management of the foreign trade business process is achieved, and the management efficiency and accuracy are improved.

The invention belongs to the technical field of artificial intelligence and research and development, and relates to a clause auditing method, which comprises the following steps: acquiring an insurance type object and source file data; analyzing the source file data to obtain key field information, and constructing a cross-document logic relation graph according to the key field information; generating an initial insurance clause draft corresponding to the insurance type object from the key field information according to a cross-document logic relation graph; determining original text content related to the initial insurance clause draft in the source file data, and establishing a positioning mark; performing proofreading according to the original text content to obtain a target insurance clause draft; verifying the target insurance clause draft according to an auditing rule; and generating a clause auditing report according to the verified auditing conclusion, the target insurance clause draft and the positioning mark. The invention further provides a clause auditing device, computer equipment and a storage medium. The method and the device can be applied to business management program systems such as financial insurance, and the auditing efficiency of insurance terms can be improved.

The invention provides an intelligent agricultural credit guarantee management system, which integrates the functions of all modules from the actual service situation in a financing guarantee company, and meets the current service demand and the long-term development goal. The system comprises a client information management module, a business management module, a contract module, an after-insurance management module, a risk management module, a performance management module, a statistical report management module, an external interface module, an internal OA module, a mobile terminal important matter reminding module, a cockpit module, a configuration module and a reservation module. According to the invention, the life cycle of the whole guarantee service can be fully covered, and integrated guarantee service functions of guarantee service acceptance approval management, enterprise data query, risk early warning management, after-guarantee management, fund management and the like are realized; the system also has the functions of guarantee approval, anti-guarantee management, contract management, process management, after-guarantee management, report unification and the like, and further improves the overall business processing efficiency and risk management level.

The invention belongs to the technical field of edge computing, and particularly relates to a computing power resource scheduling method, system and device and a storage medium. The objective of the invention is to solve the technical problem that a large number of cloud hosts compete for resources and the service influence range is large due to the fact that no automatic intervention mechanism exists when the node workload is too high in the prior art. The system comprises four core components: a business management scheduling component receives a user application instance and a strategy parameter, carries out force quantity calculation and generates business operation; the resource management scheduling component extracts the business job, splits the business job into a plurality of computing power sub-jobs matched with resource distribution, and deploys the computing power sub-jobs to corresponding edge nodes; the edge computing node component is responsible for executing sub-jobs and calling an interface to create a cloud host to complete resource deployment; after the job is created, the resource node scheduling component performs self-inspection according to a priority strategy, so that reasonable allocation of resources according to priorities is ensured, the stability of key tasks is ensured, and the overall scheduling efficiency is improved.

The invention relates to the technical field of logistics data processing, and discloses a logistics business data query method, which comprises the following steps: collecting multi-source logistics business data, collecting original business data from a plurality of data sources, and cleaning the original business data to obtain preprocessed business data; extracting a time period and website features from the preprocessed service data, and screening the extracted features; dividing the preprocessed business data into historical data and real-time data according to a time sequence, selecting a machine learning algorithm according to an analysis target to construct an analysis model, training the selected model by using the historical data, inputting the real-time data into the trained model, and outputting a detection result; and constructing a knowledge graph, receiving a natural language query request of a user, and outputting a query result. According to the method, the problems of dispersion and non-uniform format of traditional logistics data are solved, the integrity and availability of the data are remarkably improved, a closed-loop analysis process is formed, and the efficiency and accuracy of logistics business management are greatly improved.

The invention belongs to the technical field of artificial intelligence, and relates to an optimization method of a search and recommendation platform, which comprises the following steps: acquiring various user search information, and generating keywords through corresponding models; carrying out multi-modal feature fusion according to the features of the keywords, and carrying out recall through a recall model to obtain recalled materials; sorting the recalled materials through a sorting model to generate a recommendation result; obtaining feedback information of the user according to the recommendation result; and updating the keyword generation model, the recall model and the sorting model through feedback information to obtain an optimized platform. The invention further provides a search and recommendation platform optimization system and device and a storage medium. The method can be applied to business management program systems such as financial science and technology, collaborative optimization of the business management program systems is achieved, and search and recommendation accuracy is improved.

The present disclosure provides a business data processing method and device, equipment and medium, which are related to the technical field of artificial intelligence and can be applied to various scenes such as cloud technology, artificial intelligence, intelligent transportation and auxiliary driving. The method comprises: in the case of detecting a business access request for indicating access to a first preset business object, obtaining a first access credential matched with the business access request; the first access credential is determined according to dynamic factor data and static factor data of the terminal of the business management client; sending a first credential acquisition request for indicating obtaining a second access credential to the management server, the first credential acquisition request comprising the first access credential; obtaining a first credential acquisition result determined by the management server based on the first access credential and an access control strategy list; and performing business access control based on the first credential acquisition result. Through the method, the business access efficiency and security are improved.

The disclosure provides a data processing method, system, device, medium and product between different framework servers, which can be applied to the technical fields of data processing and financial technology. The method comprises: obtaining initial session management information uploaded by a terminal device by using a management framework server in the case that a user logs in an account on the terminal device; generating business management information by the terminal device in response to a business operation instruction of the user, and obtaining the initial session management information and the business management information by using a business framework server, wherein the management framework server and the business framework server are constructed based on different technology stacks; analyzing the initial session management information by using the business framework server to create target session management information; and processing the business management information by using the business framework server based on the target session management information.

The invention discloses a power grid operation and maintenance service management method based on an informatization means, and belongs to the field of network operation and maintenance, and the method comprises the steps: S1, building power grid operation and maintenance service integrated data information, and generating a multi-source data flow with a timestamp; s2, constructing an operation inspection operation relation model of the hierarchical knowledge graph, and carrying out semantic modeling on equipment, personnel and operation scenes to realize task and risk matching identification; s3, executing task dynamic assignment and resource reconstruction, and performing priority optimization and cross-region scheduling; s4, carrying out digital twin operation inspection site virtual replication, synchronously mapping sensing data and operation images, and realizing track, working condition and risk node visualization; s5, performing abnormal working condition closed-loop management, pushing abnormal data through event triggering, and forming iterative optimization in combination with historical feedback; and S6, forming comprehensive performance evaluation and data archiving, and uniformly incorporating task execution, risk response and equipment maintenance into an intelligent archiving system. The method has the beneficial effects that the power grid operation inspection efficiency, accuracy and traceability are improved.

The invention belongs to the technical field of artificial intelligence, and discloses a business auditing method, device and equipment and a storage medium, and the business auditing method comprises the steps: obtaining business terms; inputting the business terms into a business large model to obtain entities in the business terms, a relationship between the entities and a business rule template; based on the entities, the relationship between the entities and a business rule template, generating a knowledge graph corresponding to the business terms; and based on the knowledge graph, auditing the business to obtain a business result. The method can be applied to business management systems of financial science and technology, medical health and the like, and solves the technical problem of low accuracy of business auditing in the prior art.

The embodiment of the invention provides an overseas oil and gas operation system based on a block chain. The overseas oil and gas operation system comprises a material purchasing platform, an inventory management platform, a production management platform, a personnel management platform and a financial management platform, wherein a purchase data service in the material purchase platform, an inventory data service in the inventory management platform, a production data service in the production management platform, a personnel data service in the personnel management platform and a financial data service in the financial management platform are respectively configured to manage material purchase data in an overseas oil and gas operation project; material inventory data, personnel data, production data and financial data; and the data services communicate based on the block chain network so as to synchronize the business data generated in the oil and gas operation project. Based on the technical scheme provided by the invention, safe and efficient data synchronization among business management platforms in an overseas oil and gas operation project can be realized.