29results about How to "Eliminate silos" patented technology

The invention relates to the technical field of intelligent route generation, in particular to a multi-modal large model-based route generation method and system and a storage medium, and the multi-modal large model-based route generation method provided by the invention comprises the following steps: extracting target information corresponding to an obtained webpage link; a target webpage corresponding to the webpage link comprises tourism information of at least two geographic points; determining description information and geographic information corresponding to all target geographic points in the target information based on a multi-modal large model; performing structured processing on the description information and the geographic information of all the target geographic points to obtain structured information; and automatically generating an editable route according to the structured information based on the multi-modal large model, and generating a route text representation and / or a route audio representation of the editable route. The webpage content corresponding to the webpage link is extracted and processed through the multi-modal large model, so that the tourism route of the place where the user wants to go is made by directly utilizing the tourism strategy on the platform.

The invention relates to a dynamic signal event rule engine processing method, system and device and a medium, and the method comprises the steps: writing preprocessed ship and aircraft data into message middleware; and an event rule is constructed, the event rule comprises a data source node, a service node and an output node, the service node is used for carrying out conditional judgment and logic processing on the dynamic and static data of the ship and the airplane, and the output node is used for outputting alarm information. And converting the event rule into an SQL statement of the Flink, and sending the SQL statement as a task to the Flink for operation. And when the Flink runs, reading real-time dynamic and static data of the ship and the airplane in the message-oriented middleware, judging based on an event rule, and writing the data meeting the requirement into an alarm theme. The problem that heterogeneous signals and data of different data sources are inconsistent when the event rule engine is applied to ship and aircraft dynamic signals in the prior art is solved.

The invention relates to the technical field of medical apparatuses and instruments, in particular to a medical apparatus and instrument state management system based on the Internet of Things technology, which can remotely monitor and manage medical equipment and medical consumables in the whole period. Through the combination of the equipment sensor, the Internet of Things platform and the mobile terminal application, medical equipment management personnel can know information such as the operation state, the energy consumption condition, the maintenance period and the operation time of the medical equipment in real time, meanwhile, preventive maintenance can be carried out, related faults can be handled in time, and the quality and efficiency of medical services are improved. By means of intelligent remote monitoring and management, information islands are eliminated, efficiency is improved, data unification and sharing among all systems and departments are achieved, and the purpose of conducting real-time remote monitoring and management on medical instruments in the whole period is achieved.

The invention provides an MES-based specification range automatic matching method and system, and a medium. The method comprises the following steps: generating a first specification range rule matching list by acquiring specification range rule matching parameter information, then acquiring software parameter configuration list information, extracting test item name information, acquiring a corresponding matching rule number through the first specification range rule matching list according to the test item name information, and matching the matching rule number with the software parameter configuration list according to the matching rule number. Performing specification parameter matching on the test items according to the matching rule numbers, recording a matching result, and determining whether the production line test software meets requirements or not according to the matching result; according to the method, the test rule is matched according to the name of the test item, and the rule description is further determined in combination with the verification identifier, so that automatic matching detection of the software parameters and the specification range of the test item is realized, the detection accuracy and the detection efficiency are improved, meanwhile, data intercommunication and utilization among systems are realized, and an information island is eliminated.

The invention discloses an e-commerce logistics monitoring method and system based on big data, and relates to the technical field of logistics management, and the method comprises the following steps: S1, constructing a multi-dimensional data model; s2, acquiring and processing real-time data; s3, performing anomaly detection; s4, decision support of logistics; s5, transparent tracking of logistics is carried out; and S6, dynamically optimizing the logistics strategy. The system comprises function modules corresponding to the operation of each step in the e-commerce logistics monitoring method based on big data. According to the big data-based e-commerce logistics monitoring method and system, by constructing the multi-dimensional data model and the logistics decision support model, efficient processing and analysis of real-time data streams can be realized, abnormal conditions can be identified in time, optimization suggestions can be provided, logistics efficiency and customer satisfaction can be effectively improved, and meanwhile, the method and the system have good application prospects. Through integration of multiple data sources, information islands are eliminated, the accuracy and flexibility of prediction are enhanced, and the overall efficiency of e-commerce logistics management is significantly improved.

The invention belongs to the technical field of computers, and particularly provides a house asset management system and method.The house asset management system comprises a data layer, a service layer and an application layer, the service layer is located on the data layer, and the application layer is located on the service layer and can call an API interface provided by the service layer; wherein the application layer comprises a multi-party interaction communication platform, a house asset management module, an intermediary channel management module, a tenant / buyer information management module and a house resource information issuing and matching module; the problems of information islands, unsmooth communication, low management efficiency and the like in a traditional house asset management system are solved, and seamless connection and efficient cooperation among a house asset party, a house intermediary channel party and potential tenants or buyers are realized by constructing a system integrated with a multi-party interactive communication platform.

The invention relates to the technical field of building engineering, in particular to a BIM (Building Information Modeling)-based ship lock engineering virtual construction system, which comprises a project information management module, a process management module, an engineering decomposition structure management module, a mobile terminal module, a plan management module, a progress tracking module, an order management module and a progress 4D simulation module, the project information management module provides project information for the process procedure management module and the project decomposition structure management module; the process and process management module defines a construction process and a process according to project information, and is bound with components of the project decomposition structure management module; the engineering decomposition structure management module is responsible for generating decomposition structures and codes of the components; the plan management module formulates a project progress plan based on the generation information of the project decomposition structure management module; the progress tracking module monitors the progress of a construction site in real time, if the progress accords with a plan, a material order is generated through the order management module, and if the progress is abnormal, the material order is fed back to the plan management module for adjustment; the mobile terminal module provides progress update to the plan management module, and submits a production order to the order management module at the same time; and the order management module ensures synchronization of material supply and construction according to the order, and shares progress data with the progress 4D simulation module to generate dynamic visual display of the construction progress.

The invention relates to the technical field of construction project management, discloses a construction enterprise digital project management platform, and aims to solve the problems of data islands, low information transmission efficiency, insufficient decision support and the like in a traditional project management mode. The platform is composed of a user interface layer, a business logic layer, an infrastructure layer and a data access layer, has a comprehensive project management function, and comprises a project management unit, a material purchasing unit, a construction management unit, a quality control unit and the like. The core function of the system is that the fusion analysis module can perform standardization processing on data of each business unit, realize centralized storage and management of the data, form a unified data view, perform deep data mining and analysis by using a machine learning algorithm, construct a prediction model, a classification model and a clustering model, and perform data classification and clustering. And comprehensive data support is provided for enterprise decision making. The platform effectively improves the project management efficiency and quality of construction enterprises, and promotes the digital transformation of the construction enterprises.

The invention belongs to the technical field of e-commerce logistics management, and particularly relates to an e-commerce product storage full-process monitoring management method, which comprises the steps of synchronously acquiring multi-source heterogeneous monitoring data in real time through a sensing equipment network; performing space-time alignment preprocessing on the original data, and converting heterogeneous data into a uniform data format; semantic fusion is carried out on the standardized data, and a job behavior knowledge graph with a complete spatio-temporal context is constructed; inputting the atlas into a pre-training hybrid model, and detecting an inventory abnormal event; and generating a strategy instruction in combination with the real-time order and resource data, carrying out joint analysis on an operator, and outputting a compliance score and a specific violation operation type. Through adoption of the technical scheme, complete reconstruction of the context of the operation behavior can be realized, the anomaly detection accuracy is remarkably improved, the abnormal event response delay is shortened, and the inventory loss rate caused by human errors is reduced.

The invention discloses a cross-border e-commerce platform operation management system, which belongs to the technical field of cross-border e-commerce, and comprises a customer management module used for customer information management, classification, follow-up recording and data analysis; the product management module is used for managing product information, classifying, publishing and analyzing data; the supplier management module is used for managing supplier information, purchasing, evaluating and supply chain collaboration; the intelligent analysis engine is used for realizing data mining, prediction analysis and personalized recommendation; the data processing center is used for realizing data intercommunication and business process integration of the modules; and the interactive user interface is used for providing more intelligent and personalized user interaction experience. Enterprise import and export tracking and cross-border e-commerce product page management can be realized so that enterprise work efficiency can be enhanced. The intelligent level of the system can be improved; and the personalized application of the system can be improved through an interactive user interface, a customer behavior analysis subsystem and a personalized recommendation subsystem.

The invention relates to an intelligent monitoring and decision-making system for a soil pollution remediation process, and the system comprises a data collection layer which is used for collecting and uploading the data of a pollution remediation site; the data processing layer is used for receiving, cleaning, storing and managing data of a pollution remediation site; the analysis and decision-making layer is used for carrying out intelligent analysis such as pollution diffusion prediction, equipment state monitoring and restoration progress optimization on the data; and the user interface layer is used for remote monitoring, dynamic operation and information feedback of pollution remediation data and equipment states. According to the system, through cooperative work of the data acquisition layer, the data processing layer, the analysis and decision-making layer and the user interface layer, intelligent management and scientific decision-making of the soil pollution remediation process are achieved. The system collects on-site key data in real time through the Internet of Things, provides real-time monitoring, automatic control and decision support for pollution remediation projects by combining big data analysis and machine learning technologies, and ensures that the remediation process is efficient, low-carbon and safe.

A component management method based on a Revit component library belongs to the technical field of Revit component libraries, and comprises a component comprehensive management method and a component binding method. According to the component comprehensive management method, a common user uploads a component, and an auditor audits the component to continuously perfect component files, parameters, versions, time and uploader information of a current component; a user can check the historical version of each component and the detailed information of each component modified each time, the difference comparison among the versions is provided, and the authority of designers for component updating is provided; the component binding method comprises the step of carrying out information improvement and binding on the Revit component needing to be bound. According to the method, the component comprehensive management problem and the component information island problem of an existing Revit component library can be solved, the Revit component library can achieve more powerful functions, and greater convenience is provided for designers.

The invention relates to the technical field of industrial safety management, in particular to a cross-platform safety production data integration and sharing system which integrates an Internet of Things sensor, a high-definition monitoring camera, a data flow platform, a real-time data processing module, a rule engine, a data storage module, an API gateway, a data sharing platform, a user interface and a notification system. And a comprehensive, efficient and safe safety production management platform is constructed. The system comprises a plurality of Internet of Things sensors which are used for monitoring temperature, humidity and harmful gas in real time and transmitting data to an Apache Kafka cluster through an MQTT protocol. And the monitoring camera transmits a real-time video stream through an RTSP protocol. And performing data stream processing by using Apache Flink to realize window operation and aggregation analysis. And the rule engine Drools can dynamically adjust the alarm rule to ensure the alarm accuracy. And a unified API interface is provided through the KongAPI Gateway, so that the data access security is ensured. According to the invention, the efficiency and effect of safety production management are obviously improved, and the accident risk is reduced.

This invention discloses a trusted carbon footprint storage and intelligent traceability system for gold recycling based on blockchain and AI technologies, belonging to the intersection of green finance technology and environmental protection technology. The system adopts a four-layer architecture: the data acquisition layer binds batch IDs through GS1 encoding and integrates multi-source data through IoT sensors, a mobile app, and edge preprocessing; the AI ​​processing layer accurately calculates the carbon footprint based on a dynamic LCA model, optimizes process parameters through deep reinforcement learning, and simulates emission reduction potential; the blockchain storage layer uses a consortium blockchain (PBFT consensus) + IPFS storage, deploying smart contracts for storage and verification to automatically generate CDCEER carbon credits; the application layer provides traceability queries, ESG dashboards, regulatory audits, and green finance interfaces. This invention solves the problems of data fragmentation, inefficient calculation, and difficulty in value conversion, achieving trusted management and value conversion of the entire carbon footprint process, helping enterprises reduce costs and increase efficiency, comply with emission reduction regulations, and promote the green upgrading of the recycled precious metals industry.

The invention discloses an emergency broadcast system scheduling control scheme generation method, which relates to the technical field of emergency broadcast intelligent scheduling, and comprises the following steps: collecting a multi-source emergency event information data stream, and generating a unified event description record containing a global unique identifier, a quantitative influence level and an accurate geographical range through space-time correlation analysis and data fusion. The resource demand is calculated based on the record, and a scheduling conflict detection and optimization algorithm is utilized to generate a plurality of alternative schemes consisting of a terminal activation sequence, channel allocation mapping and broadcast time window arrangement in combination with a real-time resource state. And screening out an optimal scheduling scheme through the evaluation model and converting the optimal scheduling scheme into an executable instruction sequence. According to the method, the accurate integration of the emergency event information from heterogeneous to unified is realized, and the conflict problem in resource scheduling is solved through multi-scheme optimization decision, so that the automation level and the resource allocation efficiency of the emergency broadcast system in response to complex events are improved.

The invention relates to an intelligent marketing service risk control management system and management method, and relates to the technical field of power grid business marketing. The system comprises a data acquisition module, a data storage module, a data analysis module, a risk management module and a conclusion output module. The data acquisition module is connected with the data storage module; the data storage module is connected with the data analysis module; the data analysis module is connected with the risk management module and the conclusion output module, and the risk management module is connected with the conclusion analysis module; and systematic arrangement and analysis are carried out on the recorded data of the business handling service through a digital means. Compared with existing manual operation and simple digital tools, the system can efficiently perform classified storage and analysis on the data, eliminate information islands and ensure the accuracy and integrity of the data. Not only is data processing efficiency improved, but also reliable data support is provided for subsequent service optimization.

This invention proposes an intelligent remote emergency rescue management system capable of rapidly matching resources, relating to the field of remote emergency medical technology. The alarm receiving module triggers the case analysis module to generate priorities, the resource scheduling module allocates instructions to the drone control module, and after the drone completes deployment, the information matching module generates navigation information. Data from the person scanning the code is fed back to the system via the data association unit, forming a complete closed loop of resource scheduling-deployment-feedback. Through real-time data interaction between modules, the traditional emergency resource matching time is shortened from 10-20 minutes to within 2 minutes, while simultaneously improving the accuracy and utilization rate of drone AED deployment, achieving a qualitative leap in emergency response efficiency.

This invention discloses a method and system for integrated collaborative management and control of multiple public warehouses. The method includes steps S1: unified modeling of multiple warehouses and standardization of data across the entire domain; step S2: dynamic permission isolation control for multiple tenants and multiple warehouses; step S3: a differentiated rule engine driving business flow across multiple warehouses; step S4: cross-warehouse collaborative scheduling and real-time synchronization of status across the entire domain; and step S5: adaptation to the domestic IT innovation environment and end-to-end data security assurance. The purpose of this invention is to solve the problems of data fragmentation, inefficient collaboration, insufficient supervision, and incompatibility with domestic IT innovation in existing multi-warehouse systems. It provides a method and system for integrated collaborative management and control of multiple public warehouses, achieving integrated management and control with multi-warehouse parallelism, business isolation, data interoperability, process collaboration, security controllability, and full-stack domestic IT innovation compatibility.

The invention discloses a data acquisition and data and algorithm management system, which belongs to the technical field of data acquisition and management and comprises a data acquisition module, a data processing module, a data storage module, an algorithm management module and a data and algorithm linkage module. According to the invention, data acquisition, storage, processing and algorithm management are integrated into an intelligent whole, the intelligent level is high, the system can adaptively adjust and optimize data processing and algorithm application, intelligent scheduling and optimization are carried out according to the actual environment and demand, the flexibility and efficiency of the system are improved, and the system is suitable for popularization and application. Through the intelligent linkage mechanism, the system can better cope with complex and changeable application scenes, and the value of data and the value of an algorithm are fully exerted.

The invention relates to the technical field of medical informatization, and discloses a hospital and social health center medicine unified coding system and method. The system comprises a hospital HIS subsystem and a social health center HIS subsystem which are respectively used for inputting, managing and using internal medicine information; the data exchange center is used for establishing and maintaining a data docking channel between the two HIS subsystems; the coding organization and management module is used for establishing a coding organization jointly participated by a hospital and a social health center, and is responsible for formulating and maintaining a uniform coding scheme, a coding standard, a coding contrast standard and a coding process management specification; the two subsystems upload medicine information to the data exchange center, a unique code is allocated after the medicine information is audited through the code organization, and the medicine code information is synchronized to the system of the opposite side through the data exchange center. According to the invention, standardization and seamless connection of medicine information between a hospital and a social health center are realized, the efficiency and accuracy of medicine management are improved, and optimal configuration of resources is facilitated.

The invention relates to a full life cycle management system based on information data, and belongs to the technical field of data management. The system comprises an information data acquisition module which identifies and converts physical quantity information of a data source into multivariate information data, and integrates and standardizes the multivariate information data through a unified data model to obtain structured data; the data verification module performs regularization verification on the structured data, encodes the verified data into metadata, and transmits the metadata to the information organization module; the information organization module obtains project information and establishes an organization model, and the organization model carries out process management on metadata and outputs management information; the execution control module carries out message transmission and scheduling on a data resource access object of the management information; the supervision control module sets inspection reference indexes, automatically tracks the processing process by setting regular inspection points and corrects data deviation. Data full-life-cycle management is realized, and disorder and non-standardization of data management during data progress tracking are solved.

The invention discloses an electric power project cost risk control management system, relates to the technical field of project management, and uniformly integrates supply chain management, construction progress report, financial management and other multi-source data through a block chain synchronization and data fusion algorithm, verifies related data, and eliminates information islands; an abnormal characteristic value Afm is calculated and evaluated by means of an image monitoring module, and non-standard material stacking and improper use of equipment are accurately recognized; calculating a risk assessment index Zwzs through a real-time monitoring module and a risk assessment module, and setting a first risk assessment threshold W1, a second risk assessment threshold W2 and a third risk assessment threshold W3 based on model fitting and an optimization algorithm; and when the risk assessment index Zwzs exceeds a set value, early warning is triggered, and a high-risk sub-region is judged in combination with the abnormal characteristic value Afm, so that the real-time response and risk control capability is effectively improved.

The application provides a kind of production safety accident scene's survey information collection system, belong to information collection technical field, including: scene preliminary survey module and survey query module;Scene preliminary survey module is used to receive preliminary survey instruction, according to the preliminary survey instruction display scene preliminary survey page when receiving preliminary survey instruction;Also be used for receiving the basic information and scene survey data input by user according to the scene preliminary survey page, and obtain the survey data and plan sketch related to current accident;Also be used for generating survey record according to the basic information, the scene survey data, the survey data and the plan sketch;Improve the sharing and reuse of data, eliminate the phenomenon of enterprise information island, need to introduce the whole process of survey production management into information management, can improve the real-time nature of the survey information, information coverage, objectivity, automation degree.

The present application provides a method, system and medium for automatic specification range matching based on MES. The method includes: obtaining specification range rule matching parameter information, generating a first specification range rule matching list, then obtaining software parameter configuration list information, extracting test item name information, obtaining the corresponding matching rule number through the first specification range rule matching list according to the test item name information, matching the specification parameters of the test item according to the matching rule number, and recording the matching results, and determining whether the production line test software meets the requirements according to the matching results; the present application realizes automatic matching detection of software parameters and test item specification ranges by matching test rules according to the test item name, and further determining the rule description in combination with the verification mark, thereby improving detection accuracy and detection efficiency, and at the same time realizing data intercommunication and utilization between systems, eliminating information islands.

The invention provides a multi-refinery-plant-oriented crude oil centralized purchase, storage and pipeline transportation integrated scheduling method, which comprises the following steps: S1, demand collection and analysis: obtaining crude oil types, total demand, time windows and demand priority parameters; s2, constructing a multi-dimensional resource model based on the demand parameters and the full-link resources obtained in S1, wherein the full-link resources comprise purchase resources, transportation resources, port resources, storage resources, pipeline transportation resources and emergency resources; and S3, constructing a multi-objective optimization function, and realizing multi-constraint collaborative optimization. Due to the fact that full-link collaborative modeling is adopted, the limitation of segmented scheduling in the prior art is broken through, information sharing and plan linkage of all links are achieved, information islands can be effectively eliminated, the problems of unshipping congestion, pipe transportation idling and the like caused by link disjunction can be effectively solved, and the supply chain collaborative efficiency is improved.

The invention relates to a pumped storage power station management system and method based on digital twinning, computer equipment and a readable storage medium, the system comprises a sensing layer, a data center layer and a presentation layer, the sensing layer is used for obtaining monitoring data of each monitoring object in a pumped storage power station through multiple monitoring devices, and the data center layer is used for displaying the monitoring data of each monitoring object in the pumped storage power station. Sending the monitoring data to the data center layer; the data center layer is used for performing statistical analysis on the monitoring data sent by the sensing layer in real time through a streaming data center technology to obtain a statistical result of each monitoring object, obtaining prediction data of each monitoring object through a data mining and prediction model, and sending the statistical result and the prediction data to the presentation layer; and the display layer is used for displaying the statistical result and the prediction data through a chart. By adopting the method, the utilization rate of pumped storage power station engineering data can be improved, and the lean management level of pumped storage power station construction is improved.

The invention relates to a business collaboration model system based on cross-application linkage, and belongs to the field of enterprise informatization and intelligent office. The system comprises a user interaction layer, an application interface layer, a linkage engine layer, a data service layer and a system support and security layer. According to the method, through a unified event triggering mechanism and a data mapping model, bidirectional data circulation can be realized among different applications; according to the invention, through a cross-application automatic linkage mechanism, automatic information transmission and service connection among multiple systems are realized. A user does not need to manually copy and paste or repeatedly input information, and the system automatically identifies context semantics and triggers corresponding business processes. According to the invention, an event-driven business collaboration model is constructed, so that communication, planning, execution and feedback form a complete closed loop. Based on the modular architecture design and the configurable rule engine, each service application can flexibly define a trigger condition and a linkage rule, so that a novel office module can be conveniently expanded subsequently.

The present invention discloses a system for monitoring the physical changes of marine structures in the field of marine engineering monitoring, a data acquisition subsystem, a data processing subsystem, a data transmission and storage subsystem, a neural network learning subsystem, and a monitoring and alarm subsystem. After the neural network learning subsystem predicts the physical change trend of the marine structure, the data collected by the data acquisition subsystem is divided into key impact data and non-core data according to the prediction result. The data acquisition subsystem continuously collects the key impact data, and the monitoring and alarm subsystem performs real-time monitoring according to the preset threshold and the collected key impact data. Once an abnormal situation is monitored, the alarm mechanism is immediately triggered. The present invention realizes real-time monitoring, intelligent prediction and efficient alarm functions of marine structures by integrating multiple advanced subsystems, providing a strong guarantee for the safe and stable operation of marine structures.

The application belongs to the technical field of multi-source data processing and collaborative computing, and aims at the problems of multi-source heterogeneous data in complex dynamic scenes, such as time and space asynchronization, non-uniform characteristics, high processing delay, and weak concurrent support capability, and proposes a real-time processing and collaborative computing method for multi-source heterogeneous data with unified time and space reference. The method completes device coordinate calibration and timestamp calibration with Beidou time and space reference, realizes millisecond-level time and space synchronization; through a lightweight dynamic feature coding network and a self-adaptive weight distribution mechanism, unified feature extraction and target matching of multi-modal data are completed; an edge-cloud collaborative architecture is constructed, combined with hierarchical feature compression and asynchronous federated learning, supporting concurrent access of ten thousand devices and reducing end-to-end delay; integrating a digital twin engine and an operational optimization algorithm, scene deduction, resource scheduling and accurate instruction issuing are realized, which can be widely applied to global precise management and control in complex dynamic scenes such as ports and parks.