14 results about "Contingency plan" patented technology

The invention discloses a distributed purchase and inventory cooperative control system based on multi-agent collaboration, and relates to the technical field of purchase and inventory cooperative processing, and the system comprises an intelligent purchase unit, an intelligent inventory unit, a logistics transportation unit and a cooperative processing unit. The data acquisition unit is used for acquiring data and extracting features after the data acquisition is completed, the intelligent inventory unit is used for monitoring the inventory state, the logistics transportation unit is used for establishing a purchase transportation scheme, an inventory transportation scheme and an emergency scheme, and the purchase transportation scheme is used for planning a transportation mode and a transportation path during purchase. According to the invention, in the cooperative processing process, the corresponding purchasing scheme, transportation scheme and inventory scheme can be formulated according to the types of different materials, the accuracy in the implementation process is ensured, the emergency scheme is established to deal with the problems generated by abnormal conditions, and the stability in the control implementation process is improved.

This application discloses a dynamic decision-making method and system for flash floods and debris flows based on multi-agent and LLM (Limited Language Model), belonging to the field of emergency management and intelligent decision-making technology. This method constructs an intelligent decision-making architecture based on a large model and multi-agent collaboration. It solves the execution challenges of complex disaster tasks through the division of labor and cooperation among multiple agents, and overcomes the decision-making limitations of traditional systems by leveraging the deep reasoning capabilities of a large language model. Specifically, the multi-agent collaborative framework decomposes disaster prevention and control decisions into sub-tasks such as intent parsing, contingency plan retrieval, spatial analysis, data acquisition, and analysis and prediction. Each functional agent focuses on its area of ​​expertise, improving the efficiency and accuracy of task execution. The agent communication protocol ensures efficient information interaction and collaborative scheduling between modules, realizing fully automated processing from task input to data output.

This application discloses a method and electronic device for estimating data storage capacity. The method includes: acquiring first data of a target device, the first data including the data storage capacity of the target device at various times within a first time interval; based on the first data, detecting abnormal change events in the data storage capacity of the target device, acquiring abnormal change data, the abnormal change data being able to characterize the change pattern of the data storage capacity of the target device during the duration of the abnormal change event; and based on the first data and the abnormal change data, estimating the data storage capacity of the target device under the condition that an abnormal change event occurs at a target time. This method can estimate the data storage capacity of the target device under the condition that an abnormal change event occurs at a target time, enabling users to develop targeted contingency plans or purposefully avoid such events, thus improving the stability and robustness of the system.

A computer-implemented method includes accessing route data indicative of a route for a first aircraft to fly within a geographic area. The method includes accessing data indicative of a plurality of contingency landing locations within the geographic area. The method includes processing such data to compute a contingency landing plan that assigns at least one respective contingency landing location to each route segment of the first aircraft. The method includes accessing data indicative of a change in flight operations of a second aircraft that is in-flight within the geographic area and computing an updated contingency landing plan for the first aircraft based on the change in the flight operations of the second aircraft. The method includes transmitting, over a network to a computing device associated with the first aircraft, one or more signals indicative of the updated contingency landing plan.

This invention relates to the field of collaborative control technology for enhancing power grid resilience, and particularly to a collaborative control method for enhancing power grid resilience in extreme weather scenarios. The method includes: collecting data to form dynamic panoramic data of the power grid; injecting the panoramic data into a digital twin model to generate quantitative early warning information including fault probability, impact range, and time window; initiating a parallel computing process based on the early warning information to obtain a set of candidate contingency plans; generating a detailed control command sequence using a distributed collaborative decision-making model; simultaneously simulating the execution of the command sequence in the digital twin model, and triggering a correction mechanism to continuously correct the commands by comparing the simulation results with the actual state in real time; recording scheduling intervention behaviors and control effects, structuring them as cases and storing them in a knowledge base, and recommending historical contingency plans based on similarity matching. This invention improves the efficiency of power grid resilience response through data fusion preprocessing, parallel distributed computing, real-time feedback correction, and knowledge reuse collaboration.

This invention discloses an artificial intelligence-based comprehensive monitoring system for highway bridges, belonging to the field of highway bridge health monitoring technology. The system comprises the following components: a data acquisition module, a dynamic early warning threshold generation module, a multi-level alarm and tracing module, a graded contingency plan generation module, and a push and feedback module. This invention constructs a multi-module collaborative intelligent monitoring architecture, dynamically generates early warning thresholds, accurately perceives real-time early warnings, optimizes threshold calculation logic, and improves early warning accuracy. It presets four alarm levels to locate the causes of anomalies and deduce damage paths; it uses case-based reasoning models to generate appropriate handling solutions, verifies and ensures the reliability and usability of reports, and quickly pushes them to multiple terminals for collaboration; it establishes a data feedback closed loop, forming a full-process closed-loop management system, solving traditional problems, and improving the intelligence and precision of bridge safety monitoring, as well as operation and maintenance efficiency and safety assurance capabilities.

The invention relates to the technical field of major activity safety guarantee, and particularly discloses a major activity safety guarantee risk management system and method based on risk portray.The system comprises a data footstone layer, an analysis, study and judgment layer, a decision action layer and a verification optimization layer, and the data footstone layer constructs a dynamic hidden danger library following the four-dimensional principle; multi-source data are gathered through a standardized model, risks are quantified based on a weighted RPN formula, and a data injection and dynamic updating mechanism is matched. And the analysis, research and judgment layer generates a risk portrait report containing a structured list through scene modeling and multi-dimensional aggregation analysis. The decision action layer converts the portraits into tactical actions such as special plans, resource presetting and special drilling. And the verification optimization layer realizes risk monitoring regulation and knowledge precipitation through closed-loop management. According to the invention, the conversion from passive response to data-driven active defense is realized, the risk identification and pre-judgment precision is improved, the resource configuration and emergency efficiency are optimized, the system self-learning evolution is driven, and the risk recurrence rate of the same kind is reduced.

This invention discloses a method, equipment, and storage medium for real-time monitoring and intelligent early warning of disasters in open-pit mines, relating to the field of mine safety production monitoring technology. The method includes: deploying a multi-source heterogeneous sensor network in the open-pit mine operating area to collect real-time physical parameter data of various disasters, generating consistency confidence weights for fused sensing data and corresponding data sources; setting scoring models for various disaster types and calculating risk sub-scores for each disaster; using a dynamic weight generation strategy to generate dynamic weights for each disaster, and weighted summing the risk sub-scores to obtain a comprehensive risk score; triggering an early warning by dynamically assembling and issuing executable emergency commands from a contingency plan library based on contingency plan assembly logic. This invention can ensure data reliability from the source, possesses dynamic intelligent risk assessment and end-to-end closed-loop self-optimization capabilities, and achieves a fundamental shift from reactive post-event response to precise pre-event prevention.

This invention discloses a method, system, terminal, and storage medium for typhoon early warning of ships and large equipment in shipyards based on contingency plan activation and rule matching scanning. The method includes: collecting multi-source key parameters through a shipyard multi-dimensional typhoon early warning management platform; filtering valid data through rule matching scanning; sequentially calling a contingency plan hierarchical triggering model, a wind load nonlinear calculation model, and a ship mooring force analysis algorithm to complete early warning threshold generation, wind load calculation, and mooring force analysis; the collaborative linkage of various models to explore parameter coupling relationships; and optimizing the calculation process step by step through indicator system construction, feature parameter extraction, multi-source data substitution, and result verification; the platform integrates the results of multiple modules to generate corresponding level early warning signals and emergency guidance. This invention achieves precise and efficient typhoon early warning, providing full-process technical support for typhoon prevention of ships and large equipment in shipyards, and improving the operability of early warning and risk management capabilities.

This application relates to a method, system, and medium for the fusion analysis and automatic handling of multi-source anomaly data in the power industry. The method includes: real-time collection of heterogeneous logs and status data from information network devices via a log collection agent; real-time storage of the aggregated multi-source data in an Elasticsearch cluster to construct a panoramic power data lake; fusion analysis and collaborative anomaly detection of the multi-source data based on Elasticsearch's built-in machine learning engine and combined with third-party analysis algorithms to identify hidden faults and complex threats that are difficult to detect from a single data source, generating anomaly results with confidence levels; and the real-time conversion of analysis results into handling instructions through an integrated alarm and automated handling system to drive the execution of contingency plans or notify maintenance personnel via a messaging platform. This application addresses the problems of high daily maintenance costs and low efficiency in the power grid.

This invention provides an intelligent early warning method and device for urban extreme weather disasters based on data-physical fusion, relating to the fields of meteorological disaster simulation and artificial intelligence decision-making technology. The method includes: simulating windstorms and floods in a target city to obtain numerical simulation feature vectors; processing historical contingency plan texts to obtain contingency plan text vectors; constructing a vector database containing extreme disasters in the target city; designing a retrieval-enhanced generative agent, a disaster assessment agent, a report summarization agent, and a meteorological disaster dialogue agent, and constructing a multi-agent loss reduction decision-making big language model based on an agent scheduling framework; and generating customized loss reduction decision schemes for specific disaster scenarios by combining the vector database with the multi-agent loss reduction decision-making big language model. This invention solves the problem of transforming meteorological forecast information into accurate decision-making, realizing the transformation from single meteorological parameter forecasting to scenario-based loss reduction decision support, and significantly improving the intelligence level of urban disaster early warning.

The invention relates to a security industry scheduling planning method based on a plan scheduling optimization algorithm, and belongs to the technical field of intelligent manufacturing and production planning. The method comprises the following steps: firstly, acquiring order, resource and production data through an industrial sensor and a manufacturing execution system (MES); and then, an improved genetic algorithm model embedded with exclusive constraints of security and protection production is constructed and trained, the model adopts an order-process-resource three-dimensional coding system, a scheduling scheme is ensured to be compliant through a dynamic punishment mechanism, and an optimization result including a basic scheduling, an emergency plan and a cost suggestion is output. According to the invention, the adaptability and flexibility of production scheduling in the security industry are effectively realized, and the production efficiency, the resource utilization rate and the system reliability are remarkably improved.

The application provides a flood defense interactive decision method driven by virtual-real twin contingency plans, comprising the following steps: analyzing a flood control situation of a basin based on a flood control scene, and judging whether there is a flood hidden danger; if not, a normal deduction state is executed; if yes, a real-time mutual feedback deduction state is executed. The application innovatively proposes a real-time mutual feedback deduction of "reality-scene-contingency", through a time progression mode, combining the reality scene of the current situation of each device detection, model deduction of each level hydropower station, flood control section, reservoir and real-time water and rain weather, using the deduction scene of water and rain weather forecast data, dispatching scheme and flood control situation analysis, to generate a dispatching scheme which is verified by hydrodynamic simulation, has good effect risk evaluation, and meets the standard of flood control effect.

The invention discloses a community emergency safety guarantee platform system based on artificial intelligence, and the system comprises a data collection and processing module which is used for collecting multi-modal data and generating a standardized input data set; the causal graph construction module is used for constructing a structured twin causal graph, establishing a node relationship and hooking an intervention variable; the risk diffusion prediction module is used for operating a risk diffusion prediction model and outputting a risk potential energy field, channel survival time and a risk development trend; the action generating and compiling module is used for generating a candidate action sequence and compiling a plan byte code; the formalized verification module is used for carrying out security fence, mutual exclusion logic and time sequence constraint verification on the plan byte codes; and the linkage execution and rollback module is used for issuing the plan byte code to the edge control equipment for execution and recording whole process data. According to the invention, through multi-modal data processing, causal graph modeling and physical constraint prediction, scientific early warning and reliable linkage disposal of community emergencies are realized.