70 results about "Business collaboration" patented technology

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 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 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.

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.

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 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 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.

This invention discloses a configurable and customized development method and system for a GIS-based marine single-map system, relating to the field of marine geographic information system development, and solving the problems of repetitive GIS construction and low iteration efficiency in existing systems. The method includes: designing a configurable database with four logical zones, enabling configurability of functions, menus, layers, etc.; customizing and encapsulating general functional templates for spatial information tables, layer trees, statistical charts, and spatial analysis based on object-oriented principles; and completing system configuration based on the database and templates, achieving front-end and back-end linkage and fully automated data processing. The system includes a configurable database, template customization and development, and a system configuration and operation module, supporting four-level business collaboration, rapidly integrating multi-source data, and providing auxiliary decision support. This invention improves system configuration flexibility and development efficiency, providing support for marine business management decisions and emergency response.

The invention provides a heterogeneous judicial data-oriented collaborative platform data fusion system and method, and the system comprises a source data layer which is configured to store dispersed and heterogeneous business data of political and legal departments such as judicial, inspection and court, and covers judicial business data such as counterfeit, correction, wholesale, complaint and judgment; the data virtualization layer is configured to be connected with various databases in the source data layer, provide a unified data access interface, integrate inconsistent expressions through a heterogeneous data analysis and integration module, and provide a unified data access interface; a unified judicial entity-relation view taking various persons, cases, laws and regulations, court hearing sessions and the like as entities is constructed through a unified judicial entity-relation view creation module; and the data fusion collaborative application layer is configured to provide judicial intelligent application services such as intelligent judgment, class case retrieval, decision support and the like based on the unified judicial entity-relationship view. Through the data virtualization technology and the deep neural network technology, logic integration and physical isolation of judicial data are achieved, on the premise that data are not migrated and an existing system is not changed, data islands are broken, real-time and seamless fusion and collaboration of cross-department data are achieved, and the collaboration efficiency and the intelligent level of judicial services are effectively improved.

The present application relates to the technical field of industrial internet and artificial intelligence, and particularly provides an intelligent system and an application method for industrial equipment operation and maintenance service, the intelligent system comprising a server, an intelligent terminal, an NFC tag, a trigger recognition intelligent agent, a work order intelligent agent, a diagnosis intelligent agent, a matching intelligent agent, an interaction intelligent agent, a knowledge construction intelligent agent and an evaluation intelligent agent, a message bus intelligent agent and a remote collaboration intelligent agent; the trigger recognition intelligent agent, the work order intelligent agent, the diagnosis intelligent agent, the matching intelligent agent, the interaction intelligent agent, the knowledge construction intelligent agent, the business collaboration module and the evaluation intelligent agent, the message bus intelligent agent and the remote collaboration intelligent agent are application software and functional modules; the method comprises six steps. The present application can realize full-process uninterrupted function from work order generation to knowledge archiving, diagnosis explainability, scientific scheduling, standardized maintenance and knowledge sedimentation, and can improve operation and maintenance efficiency by fusing near field communication triggering, time series data analysis and knowledge graph reasoning technology.

This invention provides a method, apparatus, and device for improving power data sharing, relating to the field of data processing technology. The method includes: mapping power data from various power systems in the power grid to a standard mapping library to obtain standardized power data corresponding to each power system; determining a core system based on the business attributes and data dimensions of each power system; identifying core indicator data from the standardized power data of the core system, and comparing the core indicator data with source data in the standardized power data of other power systems to obtain source data with discrepancies and their corresponding discrepancy types; correcting the source data with discrepancies according to the discrepancy types, and saving the corrected source data to a shared database. This invention ensures that all systems use unified and accurate data, eliminates business collaboration obstacles caused by data deviations, and thus improves sharing reliability and collaboration efficiency.

A user and business collaboration and document management solution is described. The solution utilizes the InterPlanetary File System (IPFS) or similar distributed and decentralized storage methods, in addition to the Publish / Subscribe (PubSub) message protocol or similar distributed messaging methods. As a fully decentralized and distributed solution, information is shared through cryptographically secure and resilient Web 3.0 mechanisms. The solution provides a number of secure collaboration services. Users can securely add, update, delete, archive and share documents on the IPFS file system. Local directory synchronization automates this task. A localized encryption key and secrets vault is used to protect data encryption keys, authentication credentials, and related secrets.

This invention discloses an intelligent ship integrated control system, a data vertical correlation method, a storage medium, and electronic equipment. The intelligent ship integrated control system includes a data correlation analysis module, a data acquisition module based on data correlation preprocessing, a ship business data retrieval module, and a data sharing and storage module. The data correlation analysis module calculates correlation indicators for vertical domain data based on data similarity and / or data temporal continuity and / or data causal correlation, and establishes a data vertical correlation model accordingly. The data acquisition module pre-correlates and groups sensor data based on the data vertical correlation model. The ship business data retrieval module calculates ship business display results based on indicator data and pre-correlated grouped data. This invention solves the problems of poor timeliness in analyzing massive amounts of ship data, fragmented business modules, lack of business collaboration, and low ship intelligence levels in existing intelligent ship technologies.

This application discloses a method for intelligent data management and business collaboration in an ERP system for the medical aesthetics industry. The method includes: S1: Constructing an intelligent integration layer for multi-source heterogeneous data in the medical aesthetics field; S2: Designing a consumables intelligent association and early warning management module based on "service paths"; S3: Realizing dynamic business collaboration based on knowledge graphs and role permissions, automatically generating and synchronizing tasks according to role configuration context information, and supporting collaboration among multiple roles under a unified view; S4: Providing intelligent decision support based on graph analysis and machine learning. This application, by constructing an ontology model for the medical aesthetics field and utilizing multi-path knowledge extraction technology, transforms scattered and heterogeneous operational data into a unified knowledge graph with semantic associations. This fundamentally breaks down data silos, providing a high-quality, associative, and reasonable data foundation for the entire business chain, and achieving deep integration and unified governance of multi-source heterogeneous data in the medical aesthetics field.

The invention discloses a locomotive advanced maintenance modularization-data driving standard system generation method and system. The core lies in that a general maintenance module library irrelevant to a vehicle type is constructed, and technical requirements of a new vehicle type are intelligently mapped into the module library through intelligent semantic analysis and knowledge graph technologies. And the optimal modular maintenance process is automatically generated by using the multi-constraint optimization model. According to the system, a closed-loop self-optimization mechanism from data acquisition to module iteration is formed through multi-source data acquisition, feature extraction and process mode mining, and a module library is driven to continuously evolve. According to the method, the technical preparation period is greatly shortened, the consistency of maintenance quality is guaranteed, personal experience is converted into reusable core knowledge assets of enterprises, and the business collaboration efficiency and the response speed are remarkably improved.

The invention discloses a multi-dimensional quantitative evaluation model construction method for practical efficiency of a digital substation, belongs to the technical field of intelligent power grids, and aims to solve the problems of single evaluation dimension, lack of quantitative measurement standards, lack of dynamic efficiency evaluation and disjunction of technology and business effects in the prior art, and the method comprises the following steps: S1, determining the evaluation dimension; s2, constructing an index system; s3, data acquisition and preprocessing; according to the method, four core dimensions of operation reliability, operation and maintenance economy, business collaboration and technical advancement are creatively determined, and a multi-level and three-dimensional evaluation framework is constructed, so that traditional technical indexes such as equipment state and system stability are covered; and economic and management dimensions such as operation and maintenance cost, asset utilization rate, management decision efficiency and the like are incorporated into a system, so that comprehensive portraits of safe, efficient, economic and intelligent comprehensive efficiency of the digital substation are realized, and an unprecedented global perspective and an accurate resource optimization configuration basis are provided for managers.

This application provides a data retrieval method, apparatus, computer equipment, storage medium, and program product, relating to the technical fields of big data, cloud technology, and intelligent transportation. By obtaining the object set node tree corresponding to the target link from the server based on a data retrieval request, the overall situation of each object set in the target link is obtained, making it possible to retrieve data in batches and to retrieve data from multiple object sets in parallel within each batch. Furthermore, utilizing this object set node tree, parallel retrieval of each parallel object set is repeatedly executed. The object set node tree is used to obtain the identifiers of at least two parallel object sets corresponding to the current batch, enabling subsequent retrieval of business collaboration information of at least two parallel object sets from the server based on these identifiers; this reduces the time consumed by data retrieval and improves data retrieval efficiency.

The application discloses a kind of based on two-dimensional code's automobile life cycle information management method, based on vehicle VIN code supplementary additional information generation as unified information index vehicle identity two-dimensional code, solve the problem that traditional VIN code information capacity is insufficient, cannot be associated with full-quantity data.Establish the relational database with this two-dimensional code as primary key, the document data dispersed in each link are carried out centralized structured storage, realizes the overall management of information.Construction based on B / S architecture, provide Web-service interface remote server system, and for car factory, 4S shop, user etc. different identity is configured differentiating data access permission, so that multiple terminals can be flexibly, safely access system and carry out data operation.In data write operation, introduce concurrency control mechanism, effectively guarantee the data consistency when multiple users collaborative operation.The method can effectively integrate the fragmented information of automobile full life cycle, and can realize safe, efficient, scalable information sharing and business collaboration.

This invention discloses a cloud-based method, device, and medium for cross-business collaboration in power systems. The method includes: designing a layered cloud platform architecture; establishing a unified data storage center and data sharing mechanism to achieve centralized management and on-demand sharing of cross-business data; designing a cross-business collaboration process model for the power system and deploying it to a workflow engine; deeply integrating the workflow engine with the cloud platform and combining it with collaborative tools to build a cross-business collaboration platform, enabling automated process execution, task allocation, and real-time collaboration; constructing an intelligent decision support platform; and providing multi-terminal business operation and data monitoring entry points through the cloud platform's user interaction layer to monitor the execution status of cross-business collaboration processes in real time, and dynamically optimizing processes and decision-making strategies based on data analysis results to form a collaborative optimization closed loop. This invention effectively solves the problems of existing power systems lacking a global cross-business collaboration solution and outdated process connections.