97 results about "Business collaboration" patented technology

The invention provides a telecommunication service fraud-related risk security assessment system based on a multi-modal fusion model, and the system comprises a multi-source data collection assembly which is responsible for obtaining original telecommunication service data in multiple ways, carrying out the preprocessing of the original telecommunication service data, and obtaining first telecommunication service data; performing feature extraction and behavior pattern analysis on the first telecommunication service data to obtain key features related to the telecommunication service; the assessment model construction component is responsible for constructing a fraud-related risk assessment model based on machine learning, inputting the key features into the fraud-related risk assessment model, outputting an intelligent assessment control matrix, classifying and rating fraud-related risks, and generating a risk assessment result; and the service collaborative linkage assembly is responsible for early warning the risk level of the telecommunication service system according to the risk assessment result, and taking prevention measures according to the risk level. According to the method, an objective evaluation standard is established, and the conversion of risk identification from experience judgment to data driving is realized.

The invention provides a service scene collaboration-oriented cross-service system micro-service processing method and system, and the method comprises the steps: firstly obtaining an initial interaction data set with a service scene label of a cross-power service system in a preset time period, and then carrying out the scene feature analysis of the initial interaction data set; obtaining electric power business scene features and interactive behavior features corresponding to each interactive data unit, then calling a pre-constructed business collaborative analysis model to perform collaborative correlation analysis on the features, and generating a collaborative processing strategy containing micro-service calling priorities and data interactive format specifications; and determining a business process adjustment scheme of each business system in the target power business scene according to the cooperative processing strategy, and finally generating a cooperative execution instruction containing a micro-service calling instruction sequence based on the business process adjustment scheme, and sending the cooperative execution instruction to the target business system to trigger a cross-system cooperative processing operation. Therefore, barriers among power business systems can be effectively broken, the cooperative processing efficiency and flexibility are improved, and the reliability of power supply is guaranteed.

The invention relates to the field of discrete manufacturing intelligence, in particular to an intelligent decision-making and business collaboration method based on an OAG ontology and an LLM large model, which comprises the following steps: collecting historical data and business documents, and performing directional fine tuning on a basic large language model to form the LLM large model; the method comprises the following steps: analyzing discrete manufacturing scene original data and business documents, and constructing an OAG ontology library; receiving field data in real time through the LLM large model, updating the OAG ontology library, and performing feedback optimization on the LLM large model to form bidirectional feedback; integrating real-time data and historical data, inputting the data into an LLM large model, converting the data into business knowledge through layering of an OAG ontology library, and generating a main and standby decision scheme; and establishing an agent federated center, issuing a decision scheme, collecting execution data and feeding back an LLM large model, and realizing cross-scene collaboration and full-process data closed loop. According to the invention, through a technical path of a whole-process data closed loop, a core pain point that an existing LLM does not understand a business is effectively solved, and whole-link value conversion of discrete manufacturing data is realized.

The invention discloses a digitized collaborative management and control platform and method for a highway roadbed slope, and belongs to the field of highway engineering. The method comprises the steps that a three-dimensional geological information model of the highway roadbed slope is constructed; sensing and fusing multi-source heterogeneous data; intelligent analysis and early warning are realized; co-processing and closed-loop management; optimization and self-learning of a machine learning algorithm model; and visualizing the slope of the whole highway. According to the invention, through the AI algorithm, the conversion from manual interpretation to intelligent prediction is realized, the early warning time is advanced, and passive response is changed into active prevention and control. According to the invention, information sharing and business collaboration are realized through process driving, and the emergency disposal efficiency is greatly improved. Visual and scientific decision support is provided for slope state evaluation and treatment scheme making based on the digital twinborn model and the multi-source fusion data, and dependence on human experience is reduced. According to the invention, a complete slope electronic health record is established, a data basis is provided for long-term performance evaluation and maintenance planning of the slope, and full-life-cycle management of assets is realized.

The invention relates to the technical field of collaborative management, in particular to a business collaboration method based on a process engine, which comprises the following steps: acquiring approval process nodes and post fields, establishing node parameter mapping, extracting customer reconciliation process field paths, generating a field coverage set, analyzing contract archiving responsibility actions, and constructing a responsibility sequence link. And matching a financial reimbursement process cooperation path, correcting an offset node to generate a cooperation task flow, calculating an internal instruction process node priority, and generating a task triggering list. According to the method, the node fields and the role identifiers in the approval process are obtained, the field consistency mapping relation is constructed, and a field continuous path screening mechanism is combined, so that the penetrating power and the tracing accuracy of parameters among cross-process nodes are improved, and the sequence of node responsibilities has a verifiable logic chain; through a node offset detection and path connectivity construction mode, accurate task execution sequence control is provided in multi-source task scheduling.

The invention discloses an intelligent old-age care service construction method based on a Fabric block chain and big data AI, and the method comprises the following steps: S1, collecting multi-source heterogeneous data of old people, and carrying out the standardization processing of the data; s2, performing classified storage on the standardized data processed in the step S1 on the basis of a Hyperledger Fabric block chain and an IPFS (Internet Protocol File System) distributed network; s3, constructing a multi-modal AI health early warning and decision model architecture, analyzing the standardized data stored in the step S2, and generating a health risk early warning and personalized nursing scheme; s4, cross-institution data authorization sharing is carried out through the block chain smart contract, an automatic process triggering rule of the smart contract is preset, and cross-institution real-time data sharing and business collaboration are carried out; and S5, configuring an aging-suitable interaction terminal, receiving health risk early warning, a personalized nursing scheme and a business cooperation event process in real time, capturing user interaction operation, and returning operation data to the step S3 to perform AI model optimization on the multi-mode AI health early warning and decision model architecture.

The invention is suitable for the technical field of intelligent property management, and provides an intelligent property management system based on multi-technology fusion, which comprises an infrastructure module, a user access module, a data fusion module, a data support module, an intelligent property module and an intelligent decision module. The infrastructure module collects data through equipment such as a sensor and performs edge calculation preprocessing; the user access module provides a multi-port entrance and adopts unified identity authentication and authorization; the data fusion module integrates multi-source heterogeneous data and constructs a user portrait; the data support module realizes distributed data storage and standardized management; the intelligent property management module integrates multiple management functions and realizes automation of a business process; and the intelligent decision-making module performs fault prediction, demand analysis and the like by using data analysis and machine learning. According to the invention, information islands are broken, the equipment monitoring capability and the service individuation level are improved, data sharing and business collaboration are realized, the management efficiency is improved, the cost is reduced, and intelligent decision support is provided for property management.

The invention provides a process digital collaborative management method and system based on a data unified exchange platform, and belongs to the technical field of industrial software and intelligent manufacturing, and the method comprises the steps: constructing the data unified exchange platform, so as to achieve the data exchange among a process management system, a PLM system and a production management system; in the process management system, based on the EBOM obtained from the PLM system, constructing and managing a multi-state process BOM including a basic PBOM, a trial-production PBOM and a production PBOM; and a collaboration mechanism is constructed through a data unified exchange platform, so that business collaboration based on the multi-state process BOM is realized. According to the method, the problems of data consistency and flow collaboration which troubles the manufacturing industry for a long time are solved, and key technical support is provided for enterprises to realize digital transformation and intelligent upgrading through efficiency improvement, quality guarantee, cost control and knowledge precipitation.

The invention relates to the technical field of data processing, and provides an information generation method and device, electronic equipment and a storage medium, and the method comprises the steps: retrieving candidate data related to a query request of a user from a multi-source heterogeneous data source, and distributing an authority level for a data source corresponding to each candidate data; determining the data source with the highest authority level from the data sources corresponding to the candidate data with the conflicts, and initiating a verification request to the data source with the highest authority level, so that the data source with the highest authority level returns the latest version data for the candidate data with the conflicts; updating candidate data with conflicts according to the latest version data; and generating business cooperation information of the query request based on the updated candidate data and the candidate data without conflicts. According to the method, the conflict data is updated through the data source with the highest authority level, so that logic contradictions and numerical illusion caused by data timeliness lag or incapability of judging authenticity of the data are avoided.

The invention discloses a digital twinborn simulation optimization system and method for mining dilution rate and loss rate, relates to the technical field of digital mines, and solves the problem of isolated operation of geology, production and automation subsystems in a traditional system by fusing a geologic model and a production model in a unified platform. And an integrated intelligent system with data intercommunication and business collaboration is formed. And the management of the dilution rate and the loss rate is changed from the traditional post statistics to the instantaneous perception and the abnormal diagnosis based on the real-time data, so that the online monitoring and the active intervention of the production process are realized, and the resource waste is reduced. Parallel deduction and multi-objective optimization are carried out on multiple schemes through a simulation engine, and a global optimal scientific decision scheme under multiple objectives can be provided. Through real-time feedback of an execution result, the twin mining area model is continuously calibrated and optimized, the defect that the precision of a traditional static model is attenuated along with time is overcome, and a reliable basis is provided for long-term optimization.

The invention provides a civil aviation data processing system and method and electronic equipment, and the system comprises a data collection module which is used for obtaining various civil aviation operation data; the flight planning module is used for determining a flight plan based on the real-time operation data; the simulation operation module is used for calculating operation index data according to the historical operation data and the flight plan; the analysis module is used for generating an operation index increment corresponding to the operation index data and calculating a total state increment based on the operation index increment; and the feedback optimization module is used for controlling the analysis module to update the total state increment based on the operation index increment when the total state increment does not meet the preset threshold range, so that the updated total state increment meets the preset threshold range. According to the method, data fusion and linkage processing in multiple business fields are realized, information islands are eliminated, cross-department data sharing and business collaboration are realized, the total state increment can be automatically iteratively updated, and the timeliness and accuracy of civil aviation data processing are improved.

The invention discloses a real-time remote collaboration method and system for a three-dimensional factory design collaboration platform, and relates to the technical field of three-dimensional model collaboration design. The method comprises the following steps: responding to a storage operation of a local design user, and writing model data into a local three-dimensional design database; monitoring a write-in request of the three-dimensional design database in real time, and synchronously storing the model data to a platform database; dividing the model data into data blocks, and analyzing the data blocks based on a combined analyzer; comparing the identifier with the incremental updating record, and screening out the unsynchronized data blocks; transmitting the incremental data block to a remote server through a special link; and the remote server writes the incremental data into a remote three-dimensional design database and updates the model view. The method aims at eliminating the forced dependence of a traditional three-dimensional design platform on a business cooperation module, and meanwhile the design collision problem caused by cross-region synchronization delay is solved. And full-process real-time collaboration of three-dimensional design is realized, and a high-reliability collaboration base is provided for energy, chemical engineering and other major projects.

The invention relates to a heterogeneous system business collaboration method and device based on design change, the device comprises a data operation module, a judgment module, an external timing module and a trigger module, and the method comprises the following steps: changing data management and business logic of business collaboration according to the design; a design change business collaboration process is divided into three stages, namely a technical scheme stage, an information internal transmission stage and an information external transmission stage, and in different stages, in heterogeneous environments of different application systems and databases, relevant identifiers completed by closed loops or nodes of all stages set by the device are adopted to trigger to enter a subsequent business collaboration stage, so that the business collaboration efficiency is improved. And transmission of design change information among different application systems, different departments or external benefit parties is completed. According to the method and the system, design change information cross-department and information transmission with external benefit parties in a heterogeneous application system environment are realized, errors or delay possibly caused by manual operation is avoided, the product quality is improved, and the product cost is reduced.

The present application relates to the technical field of power system resource optimization scheduling, and particularly relates to a deep scheduling method and system for deep peak regulation of coal-fired units, which comprises the following steps: collecting multi-dimensional operation parameters of the unit, deep peak regulation instructions and carbon price signals of the carbon emission trading market, and realizing timestamp alignment; constructing a five-dimensional safety constraint model associated with the economic cost boundary; taking the maximization of peak regulation income as the target, constructing an objective function by fusing the coal purchase cost, carbon trading cost and equipment maintenance cost, solving the economic scheduling scheme by using a dynamic programming algorithm, and executing a cross-system collaborative strategy; based on the LSTM, predicting the equipment life and digital twin simulation, and triggering the cross-system correction strategy. The present application solves the business collaboration problem of economy, environmental protection and equipment reliability in deep peak regulation, and realizes the maximization of peak regulation income of coal-fired units under the power market environment.

This invention provides a universal interface and application integration method based on multiple factories and applications, belonging to the field of enterprise application integration technology. This universal interface addresses problems such as inconsistent protocols, inconsistent data standards, poor scalability, and low synchronization efficiency in the integration of heterogeneous application systems between the headquarters and multiple factory sites of a group enterprise. This invention constructs a three-layer integration architecture, establishes a standardized master data system, designs a universal interface gateway, and configures flexible data interaction rules to achieve efficient data sharing and business collaboration across levels and systems. Through standardized encapsulation, multi-protocol adaptation, intelligent routing, and dynamic synchronization strategies, this invention reduces the development and maintenance costs of system integration, improves integration flexibility and data transmission efficiency, and ensures data security and consistency, making it suitable for the application integration needs of group enterprises in multiple scenarios.

The invention provides a quality data multi-index cross-domain NLP enhanced retrieval and computing power sharing method, which comprises the following steps of: establishing a group headquarter cross-domain quality intelligent platform as a central nervous, and configuring an intelligent retrieval service and data exchange engine basic capability unit for each hierarchical subject; secondly, the basic-level quality management system is connected to the quality intelligent service system to form hierarchical association; and finally, realizing cross-domain retrieval and computing power sharing through intelligent identification, matching functions and cross-node data transmission. According to the method, the data integration problem is solved through the quality information exchange directory, and comprehensive integration and efficient utilization of the quality data are realized; the service collaboration problem is solved through cross-domain data interaction and collaboration, and the collaboration efficiency and the product quality control precision are improved; the technical adaptation problem is solved by deploying a platform and an engine and sharing basic computing power, and stable interaction of data and deep application of the AI technology are guaranteed.

The application discloses a multi-source data fusion processing platform and method supporting energy business cooperation, relates to the technical field of data processing, and comprises the following steps: connecting a multi-source data end side, identifying a first group of mapping data sources of energy business cooperation; identifying a historical data source failure probability of the first group of mapping data sources, obtaining a first group of failure probabilities, inputting the first group of failure probabilities into a data fusion influence degree identification model for analysis, and obtaining a data fusion influence degree index; when the data fusion influence degree index is greater than a preset influence degree threshold, a second group of mapping data sources of energy business cooperation is identified, and is configured as an equivalent data pair of the first group of mapping data sources; multi-source data pairs based on the equivalent data pair are subjected to data fusion processing, and a fusion database is obtained. The application solves the technical problem that the fusion result deviation caused by the insufficient reliability of multi-source data in the prior art cannot guarantee the stability of energy business cooperation, and achieves the technical effects of guaranteeing the stability of fusion data and the continuity of business cooperation.

The invention discloses a highway networking charging management and information resource wide-area fusion scheduling system, relates to the technical field of intelligent traffic charging management, and constructs a highway networking charging management architecture with multi-level management from top to bottom in a management area, and establishes mutual access channels through a cloud service network. The global center management node supervises the working state of each resource scheduling management node, overall plans business cooperation among the resource scheduling management nodes according to the working state, and issues a scheduling instruction to each resource scheduling management node; the resource scheduling management nodes are mutually standby nodes, the corresponding toll lane systems and cloud seats are managed according to scheduling instructions, a road network resource scheduling management network is generated and maintained, the toll lane systems provide services for users passing through toll lanes of a toll plaza, and the cloud seats are used for remotely receiving and processing manual service requests. Through cross-regional scheduling and multi-warehouse mutual backup of the human resources, comprehensive clouding and unified scheduling of the computing resources and the human resources are realized.

The invention discloses a wireless analysis information processing method and device, equipment, a medium and a program product. The method comprises the following steps: receiving first request information sent by a first network function through a near real-time wireless intelligent controller; wherein the first request information carries a target parameter, and the target parameter comprises a first identifier of the user equipment, a wireless analysis information type and a PDU session identifier of the user equipment; generating wireless analysis information matched with the target parameter according to the first request information; and sending the wireless analysis information to the first network function. By adopting the method and the device, the wireless analysis information can be provided for the target service of a single user, finer network industry collaboration is realized, the user experience is improved, and the wireless resource utilization rate is optimized.

Embodiments of the present application disclose a data processing method and device, computer equipment and a storage medium, comprising: obtaining a first data transmission request for a business collaboration document; the first data transmission request carries a document permission identifier and a transmission connection identifier; the document permission identifier is identifier information determined based on a business object for the document permission of the business collaboration document; the transmission connection identifier refers to identifier information corresponding to a first block transmission channel established for the business object; based on the document permission identifier and the transmission connection identifier, performing permission verification on the business object to obtain a first verification result; when the first verification result indicates that the business object has legal permission, setting a transmission maintenance period for the first data transmission request, and executing a document operation corresponding to the first data transmission request within the transmission maintenance period, generating a business document message associated with the document operation, and returning to the business object. By adopting the embodiments of the present application, resource consumption can be reduced.

The present application provides a business data sharing and fusion system and method based on a trusted data space, which relates to the field of data sharing technology. The method realizes the sharing and fusion of business data by constructing a trusted data space infrastructure. The present invention first establishes a node path planning model for priority evaluation and data matching; then forms a model collaborative deployment plan to assign tasks to edge nodes; then performs perception scoring and resource scheduling on tasks, and generates a multi-task concurrent transmission plan; then constructs a multi-domain network service level agreement evaluation model for service decomposition and business collaborative management; finally, heterogeneous processing and data fusion of business data. The present application solves the problems of information islands between regional institutions, multi-source heterogeneous data fusion and cross-domain business collaboration, and improves system performance and user experience.

The invention belongs to the technical field of medical and health informationization, discloses an operation management method and platform of a regional medical and health integrated information platform, and belongs to the technical field of medical and health informationization. And calculating the global priority weight of the concurrent service based on the real-time collaboration degree, then calculating the resource scheduling and security policy coefficient based on the weight and the collaboration degree, and finally completing resource allocation and policy matching and forming closed-loop management and control. The core problems that an existing platform subsystem is split, and service collaboration is not smooth are solved, and full-link integrated closed-loop management and control over cross-system services are achieved.

The invention discloses a perlite composite board energy-saving effect evaluation method and system based on edge calculation, and particularly relates to the field of composite board energy-saving evaluation, and the method comprises the steps: collecting thermotechnical data through a sensor, inputting the thermotechnical data into a heat transfer analysis model to identify thermotechnical defects and trigger to generate an energy-saving evaluation report, and dynamically updating the model based on performance attenuation. And closed-loop monitoring and evaluation of the performance of the perlite composite board are realized. According to the perlite composite board energy-saving effect evaluation method and system based on edge calculation, through additional business metadata, automatic association of evaluation data, a project progress plan and a cost ledger is realized, and the business cooperation efficiency is improved; through a lightweight heat transfer analysis model, instant identification and accurate positioning of local thermotechnical defects are realized, and a complete decision basis is provided for fine management; and the cost mapping table of the edge computing node is queried based on the first energy-saving index, so that automatic linkage of the thermotechnical defect information and the cost data is realized, and the business collaboration efficiency is further improved.

The embodiment of the invention provides an access control path generation method and device, equipment and a medium, and relates to the technical field of communication. The method comprises the following steps: in response to a cross-partition access request, determining an outbound access tag of source equipment and an inbound access tag of target equipment from an access tag matrix; and generating an access control path by splicing the out-direction access tag and the in-direction access tag. Therefore, according to the access control path generation method provided by the embodiment of the invention, only the outgoing access label and the incoming access label of the terminal equipment of the network partition need to be maintained, and when cross-partition access needs to be carried out, the access control path can be generated by splicing the outgoing access label and the incoming access label; the step of searching from a network full-path storage table is avoided, so that the generation efficiency of the access control path is improved, and the real-time business collaboration requirement can be met.

The invention discloses a multi-source data fusion processing platform and method supporting energy business collaboration, and relates to the technical field of data processing, and the method comprises the steps: connecting a multi-source data end side, and recognizing a first group of mapping data sources of the energy business collaboration; identifying a historical data source failure probability of the first group of mapping data sources to obtain a first group of failure probabilities, and inputting the first group of failure probabilities into a data fusion influence degree identification model for analysis to obtain a data fusion influence degree index; when the data fusion influence degree index is greater than a preset influence degree threshold value, identifying a second group of mapping data sources of energy business collaboration, and configuring the second group of mapping data sources as equivalent data pairs of the first group of mapping data sources; and performing data fusion processing on the multi-source data pairs based on the equivalent data pairs to obtain a fusion database. The technical problems that in the prior art, due to insufficient reliability of multi-source data, the fusion result deviates, and the energy service cooperation stability cannot be guaranteed are solved, and the technical effect of guaranteeing the fusion data stability and the service cooperation continuity is achieved.

The invention provides a multi-mode service cooperative communication method and device, electronic equipment and a storage medium, and relates to the technical field of communication, the method comprises the following steps: sending a first message to a user plane data function (UPF), the first message comprising quality of service (QoS) policy information; the QoS strategy information is used for indicating a link transmission strategy for transmitting at least one service flow in a multi-mode service to an augmented reality XR terminal, so that the XR terminal obtains the link transmission strategy for transmitting the at least one service flow in the multi-mode service based on the QoS strategy information, converged communication of XR multi-mode service cooperation is realized, and XR user experience is improved.

A method and related equipment for employee behavior recognition based on multi-source heterogeneous data are disclosed, relating to the field of data processing technology. This method achieves unified mapping between different data sources by performing spatiotemporal alignment processing on multi-source heterogeneous data. An employee behavior association network is constructed based on the aligned multidimensional dataset. Node connections are established by analyzing spatial co-occurrence relationships and business collaboration relationships among employees, thus placing individual behaviors within an associated environment for analysis. Behavioral feature vectors containing behavioral action features, spatial activity features, and business operation features are extracted from the multidimensional dataset, achieving a comprehensive characterization of behavioral features. Furthermore, behavioral matching benchmarks are selected from a pre-set multi-granularity benchmark library based on the employee's current context information, and the abnormality of behavior is verified by combining the employee behavior association network. By comprehensively considering individual historical benchmarks, team collaboration benchmarks, and special context benchmarks, the accuracy of abnormal behavior recognition is improved.

The invention discloses an intelligent management system and method for ship equipment, and the system comprises a data collection layer which is used for collecting the multi-source operation parameters of the ship equipment in real time through a distributed sensor; the equipment abstraction layer is configured to construct a unified equipment logic model; the intelligent engine layer integrates a fault diagnosis engine, a working condition evaluation engine and a root cause tracing engine, and is configured to perform joint reasoning based on multi-source operation parameters, an equipment logic model and dynamic health attenuation parameters and output a semantic event stream containing a fault root cause propagation path; an event collaboration bus configured to receive and distribute event streams; according to the business collaboration layer, a work order management module automatically generates a maintenance work order according to the event flow, and a resource scheduling module dynamically coordinates personnel, spare parts and operation and maintenance plans according to the event flow, the maintenance work order and the navigation criticality. And the fault early warning accuracy, the resource scheduling timeliness and the overall operation and maintenance reliability of the ship equipment are remarkably improved.

AI-Driven Computer Device for Rural Business Collaboration

The invention discloses a power grid reserve project evaluation method and device. The method comprises the steps of obtaining evaluation data of a power grid reserve project; determining a target project description model according to the evaluation data; determining a target element chain according to the target project description model; and determining an evaluation result of the power grid reserve project according to the target element chain. Project features in multiple evaluation angles in an evaluation process of evaluating a power grid reserve project are represented by constructing a target project description model, and then a target element chain indicating evaluation elements of the power grid reserve project in multiple evaluation levels is determined according to the target project description model. Therefore, the evaluation result is determined according to the target element chain, project description can be carried out on the power grid reserve project from an actual evaluation business cooperation scene, project management requirements are better met, the evaluation efficiency is higher, project description is more accurate, the obtained evaluation result is more comprehensive and accurate, and the method is suitable for popularization and application. Therefore, the evaluation efficiency and accuracy of evaluating the power grid reserve project are improved.