549 results about "Business management" patented technology

The invention relates to the technical field of artificial intelligence, and discloses an interaction method and device based on voice recognition, equipment and a storage medium, and the method comprises the steps: obtaining collected user voice; a recognition model is adopted to convert the user voice into voice characters, and the identity of a speaker and the emotion of the user are obtained through recognition; obtaining the above-mentioned reply text, converting the voice text, the speaker identity and the user emotion into a prompt word text by adopting a language model, and generating a target reply text according to the above-mentioned reply text and the prompt word text; and converting the target dialogue text into target dialogue voice by adopting a text-to-voice model, and controlling a loudspeaker to play the target dialogue voice. The method can be applied to business management program systems of financial science and technology, medical treatment and the like, the problem of double limitation of intelligence and emotional interaction faced by existing human-computer interaction is solved, and the industry service quality and the user stickiness are improved.

The invention discloses a geological exploration service management method and system based on cloud intelligence, and relates to the technical field of geological exploration management, and the system comprises a standard specification system, a base layer, a data layer, a platform layer, an application layer and a safety guarantee system. Data collaborative acquisition, processing and sharing are realized through a multi-level architecture design, project approval analysis, work layout, task distribution auditing and data management are realized, multi-specialty collaborative acquisition and safety management of a field data acquisition APP are supported, rapid mapping and standardized filing of an interior work data processing tool are supported, a standardized process is formed, and data processing efficiency is improved. The working efficiency and the data quality are improved through indoor and outdoor real-time collaboration, multi-source data verification, edge calculation and the like, the data safety is guaranteed, the team collaboration and achievement customization ability is enhanced, meanwhile, integrated data sharing is achieved through the cloud computing pool, and the efficiency of geological exploration work is improved.

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 relates to the technical field of commodity trade management, and discloses a commodity trade business management system based on a block chain. A block chain data acquisition module of the system obtains commodity basic information, trade enterprise qualification information and logistics node information in real time through a preset data interface, and synchronizes the information to a block chain distributed account book; the trade risk quantitative analysis module generates a trade link real-time risk coefficient set based on account book real-time data in combination with a trade compliance rule base, historical order fulfillment data and current logistics state data; a risk control strategy collaborative analysis module generates a plurality of candidate risk control strategy schemes when the risk coefficient exceeds a preset threshold value, calculates a collaborative execution cost factor when the enterprise qualification state is changed in combination with logistics node information, and obtains an interference influence value set of each scheme on the trade process; and a risk control strategy execution feedback module updates a block chain smart contract execution instruction according to the optimal risk control strategy scheme, and facilitates efficient management and control of commodity trade business.

The invention provides a business travel management system and method, and relates to the technical field of enterprise management, a route is planned through an itinerary planning module, business trips are on business according to the planned route, and the business trips are positioned through a positioning module; the method comprises the following steps: acquiring positioning information of a business tripper through a trajectory analysis module, acquiring a trajectory of the business tripper according to the positioning information, analyzing a staying place and time corresponding to the staying place, and acquiring a consumption level of the staying place; a business tripper reports a bill, the bill reported by the business tripper is received through a fee auditing module, the bill place, the bill time and the bill amount are identified, the bill place, the bill time and the bill amount are compared with the staying place, the time corresponding to the staying place and the consumption level of the staying place, and the abnormal bill is marked. The business travel management system solves the problem that existing business travel management is time-consuming and labor-consuming, and is suitable for business travel management of enterprises.

The invention discloses a general cargo transportation background business management system and method and electronic equipment, the system comprises a data acquisition module, an information management module, a position tracking module and a scheduling management module, and automatic acquisition of cargo position, attribute and safety inspection information is realized through an integrated sensor, an RFID tag technology and an image identification device; the GPS positioning and local wireless network complementary correction technology is utilized to break through the positioning precision limitation in the indoor and outdoor complex environment; based on a distributed database and a real-time data processing engine, high-concurrency query and dynamic information updating are supported; in combination with cargo state and position data, an optimization scheduling instruction is generated through an algorithm, empty driving waiting of loading and unloading equipment is reduced, the method covers intelligent scheduling processes of multi-source data acquisition, standardized processing, real-time tracking and cloud driving, full-life-cycle automatic management of cargos is realized, and electronic equipment realizes full-life-cycle automatic management through a software and hardware collaborative architecture. An existing port management system is compatible, and deployment cost is reduced.

The invention belongs to the crossing field of computer technology and business management, and discloses a purchase return risk early warning and management method and system based on multi-mode intelligent auditing, electronic equipment and a computer readable storage medium. The method comprises the following steps: segmenting a PDF invoice image through an improved Apache PDFBox analyzer; a CLIP model and an OCR technology are combined, a cross-modal attention layer is used for correcting an OCR text, a multi-modal consistency difference value is generated, and invoice authenticity is judged; when a false invoice is detected, generating a standardized risk event, and extracting supplier, purchaser and transaction edge data from the graph database to construct a time sequence sub-graph; and identifying an abnormal mode based on the graph neural network, verifying the risk by using a time sequence risk scoring model, and executing a treatment strategy. According to the method, through multi-modal fusion, dynamic graph analysis and time sequence modeling, the problems of low false invoice detection precision, long abnormal fund tracing time consumption, risk prediction lag and the like in traditional auditing are solved.

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.

Embodiments of the present disclosure provide a method for dynamic computing resource allocation based on an IIoT data center, the method comprising: receiving, via an IIoT user platform 110, a business demand of an enterprise user, and sending the business demand via an IIoT service platform 120 to a data computing center of a IIoT management platform 130; monitoring, by a monitoring module, resource data of a business management sub-platform; determining, based on the business demand, a resource demand feature of the enterprise user; determining, based on the resource demand feature and the resource data of the business management sub-platform, a resource allocation parameter; and, generating, via the control center, a resource allocation instruction based on the resource allocation parameter.

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 the technical field of financial knowledge management, and discloses a multi-modal Agent coordinated reasoning system, and the key points of the technical scheme are that the multi-modal Agent coordinated reasoning system comprises a data interface module which is used for connecting a data source to obtain target data, and is also used for receiving a task instruction; the function management module is used for constructing functional Agents with various data processing functions and executing corresponding data processing on target data according to a scheduling strategy through the functional Agents; the business management module is used for constructing a business Agent of each business field and carrying out business processing according to a scheduling strategy through the business Agent; and the scheduling decision module is used for generating a scheduling strategy according to the task instruction and the target data, and performing scheduling and collaboration on the function Agent and the service Agent according to the scheduling strategy.

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 business management, in particular to an artificial intelligence business intelligent docking service platform, in the invention, task dependency relationships are rearranged by adopting topological sorting, and waiting time and resource waste caused by improper dependency relationships among tasks are reduced through scientific execution sequence adjustment, so that the service efficiency is improved. The method comprises the following steps of: extracting a business semantic structure chart, mining tasks which can be executed in parallel, recombining an execution path, reducing redundant nodes and unnecessary delay of a process, improving the execution efficiency of the whole process, extracting key operation rules through natural language processing, establishing the business semantic structure chart by adopting a support vector machine, accurately reflecting the hierarchy and association relationship of the operation nodes, and improving the execution efficiency of the whole process. Visualization and operability of complex business logic are achieved, flow optimization is carried out through the greedy algorithm, node priorities are defined, adaptive execution paths are matched, high efficiency and execution accuracy of flow design are ensured, and the response speed, the resource utilization rate and the execution accuracy of the business flow are improved.

The invention provides an intelligent file handling guiding method and device, electronic equipment and a storage medium, relates to the technical field of self-service, is applied to a consultation file handling guiding robot interaction system with a built-in large language model LLM, and extracts a guiding word and a data analysis rule of a corresponding item from a business management platform according to an obtained item name; injecting the guide word into a cue word of a large language model LLM, performing closed domain dialogue with a user based on the large language model LLM, and guiding the user to provide necessary file handling information until the necessary file handling information is complete; and converting the necessary file handling information into a data format consistent with a business handling system according to the data analysis rule, automatically filling the data format into the business handling system, and displaying a file handling information filling result to a user. Therefore, through intelligent guidance of multiple rounds of conversations with the user and automatic data analysis and filling, the file handling efficiency is improved, and the user experience is enhanced.

The invention discloses a flower sales method and system based on big data, and belongs to the technical field of flower sales, the flower sales system comprises a core business management module, a privacy protection master control module and a data synchronization engine module, the core business management module is used for managing flower businesses, and the privacy protection master control module is used for managing the flower businesses; the privacy protection main control module is used for balancing data utility and privacy security through a layered architecture, and is particularly suitable for high-sensitivity data of the flower industry, and the data synchronization engine module is used for realizing synchronous real-time sharing and updating of data of a collection library, a user and a merchant, and storing the data. According to the invention, on the basis of realizing flower sales, user data privacy can be protected, and synchronization with fresh flower stock fresh data can be realized.

The invention relates to the technical field of image data processing, in particular to a dynamic content recognition and conversion method and device, equipment and a storage medium, and the method comprises the steps: determining input content in a whiteboard and the content type of the input content; and determining a target conversion file of the input content by using the content type. Through the dynamic content recognition and conversion method, the input content is automatically analyzed and classified, the input content is quickly converted into various digital documents matched with the format corresponding to the input content, the method is suitable for various application scenes such as education, conferences, business management and process design, the decision and execution efficiency is remarkably improved, and the user experience is improved. And the working efficiency of standard normalized content output is improved.

The invention discloses a data management method and device of a security business management system and a storage medium, and relates to the technical field of query languages. According to the method and the device, the original query request language is processed in a manner of adding a plurality of headers and a plurality of expanded table contents corresponding to each header, so that the expanded table can cover more meaning expressions, then a plurality of initial LINQ query statements are generated according to the plurality of meaning expressions, and the query efficiency is improved. And determining a credibility parameter corresponding to each initial LINQ query statement according to the number of repetition times of each initial LINQ query statement. When the final LINQ query statement is determined, the LINQ query statement corresponding to the query request is screened out from the multiple initial LINQ query statements, and the final LINQ query statement meets the preset parameter screening condition, so that the query request given by the operation object is accurately converted into the corresponding LINQ query statement. And finally, the LINQ query statement can accord with the characteristics of data of the security business management system, and query operation can be completed more efficiently.

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 discloses an information search method and device, computer equipment and a storage medium, and belongs to the technical field of artificial intelligence. According to the method, through intelligent keyword combination and weight evaluation, the accuracy and relevance of search and query are improved, and compared with traditional keyword matching search, the method is based on the pre-trained keyword weight model, the importance of different keyword combinations can be automatically evaluated, invalid or low-relevance query is reduced, and the search efficiency is improved. Meanwhile, a deep learning model is adopted to optimize search query statements, so that the search query statements are more in line with user intentions, the quality of search results is enhanced, the accuracy of information retrieval is improved, and the cost of manually screening and adjusting search keywords is reduced. In a mass data environment, the information method provided by the invention can be applied to business management program systems of financial science and technology, medical treatment, health, old-age care and the like, and more intelligent and efficient information search experience is provided for users.

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.

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 relates to the field of data processing and business management, and particularly discloses an illegal behavior analysis method, device and equipment based on big data model prediction, and the method comprises the steps: obtaining original data from a plurality of preset data sources; extracting, converting and loading the original data, fusing the original data of different data sources to obtain fused data, and storing the fused data in a preset data warehouse; based on the fusion data in the data warehouse, generating a corresponding intelligent anomaly index according to a pre-trained machine learning model to perform illegal behavior analysis, and obtaining an anomaly detection result; the intelligent abnormal indexes comprise abnormal actual receiving information, frequent work order adjustment information and order abnormal information; and feedback information corresponding to the anomaly detection result is acquired, and real-time business demand information and environment change information are acquired, so that the machine learning model is optimized according to the feedback information, the business demand information and the environment change information.

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.

The invention relates to the technical field of business management systems, and discloses an intelligent field searching method, device and equipment based on big data, and a medium, and the method comprises the steps: obtaining a field searching task sent by an external terminal; obtaining a pre-stored first site resource in a preset system resource pool; sending the site searching task to the user terminal, and receiving a second site resource sent by the user terminal; based on a preset matching algorithm, performing multi-dimensional comparison on the first site resource and the second site resource with the site searching task to generate a successfully matched candidate site list; performing grading evaluation on each candidate site in the candidate site list, determining a target site according to a grading evaluation result corresponding to each candidate site, and updating corresponding state information of each candidate site in the system resource pool; and generating an intelligent field searching result corresponding to the field searching task according to the field information corresponding to the target field, and completing intelligent field searching. Cooperative interaction of dual modes of stock resource searching and external recommendation field searching is realized.

The invention relates to the technical field of computers, and discloses an intelligent question answering method and device, equipment and a medium, and the method comprises the steps: obtaining a target question which is input by a user and contains emotion information, and carrying out the recognition of the target question through an intention recognition model, and obtaining the intention information corresponding to the target question; analyzing the intention information through a retrieval enhancement generation model to obtain an analysis result, and determining an initial answer corresponding to the target question in a preset knowledge base based on the analysis result; analyzing the emotion information by using a multi-modal emotion recognition model to obtain emotion tendency information of the user; and optimizing the initial answer through the emotional tendency information to obtain an optimized target answer. The method can be applied to business management program systems of financial science and technology, medical health, old-age care and the like, the question and answer accuracy is improved, and the personalized requirements of users are met.