189 results about "Emergency plan" patented technology

The invention discloses an emergency plan generation method and device based on artificial intelligence, and a medium, belongs to the technical field of artificial intelligence, and is used for solving the technical problems of sensing one-sided lag, poor static plan adaptability, insufficient situation deduction and decision support and low whole process recovery efficiency caused by information islands in an existing emergency processing system. The method comprises the following steps: acquiring multi-source event situation data, identifying an emergency event type, and constructing a dynamic event situation map; matching a basic plan based on the dynamic event situation map, and generating a plurality of preliminary emergency plans based on a preset constraint condition; simulating and deducing each preliminary emergency plan in the digital twin scene model, and determining a comprehensive evaluation value of each preliminary emergency plan; determining an optimal emergency plan based on the comprehensive evaluation value, and sending the optimal emergency plan to an execution end; and capturing key data in the execution process of the optimal emergency plan, generating an event handling process report, and optimizing the optimal emergency plan based on the event handling process report.

The invention provides a disaster evolution path deduction method and system based on a multi-modal space-time atlas, and the method comprises the steps: obtaining the attribute data of a shopping mall, and constructing a deduction static atlas based on the attribute data of the shopping mall; the deduction static map initializes a state based on a set instruction, updates based on physical simulation, and outputs a deduction dynamic map; generating a comprehensive risk matrix based on the deduction static atlas and the deduction dynamic atlas, and clustering the comprehensive risk matrix to obtain a classification region cluster; performing physical prediction and digital prediction according to the classification region cluster and the deduction dynamic map, respectively obtaining physical determination and judgment data and digital determination and judgment data, and obtaining spreading probability data through the physical determination and judgment data and the digital determination and judgment data; according to the method, re-deduction is carried out through an intervention instruction, a deduction method capable of carrying out step-by-step deduction and backtracking deduction is provided, a deduction dynamic map is fused, and the deduction accuracy is improved in a physical and digital cooperation mode, so that making of a better emergency plan is assisted.

The invention discloses a property asset digital operation and intelligent security linkage cooperative processing system and an implementation method, and relates to the technical field of Internet of Things, and the system comprises a protocol adaptive gateway layer which solves the problem of compatibility of multi-manufacturer equipment, and outputs a standardized data stream based on a dynamic protocol sniffing and fingerprint feature library, SDK-free access control, fire protection, monitoring and IoT equipment; the method comprises the following steps: constructing a millimeter-level precision three-dimensional space model by a digital twinborn middle table layer, fusing a security event and operation data, and ensuring that the operation is compliant and audible through blood relationship tracking; the intelligent decision execution layer combines a rule engine and machine learning to generate a linkage instruction, drives a work order to be automatically distributed and positions an equipment fault responsible party; and the edge cooperative computing node locally realizes video millisecond-level analysis, and starts localized linkage according to an emergency plan when the network is disconnected, so as to ensure that the core security function is not interrupted.

The invention relates to the field of industrial automatic control systems, and discloses a mine hoisting cage positioning information and emergency plan linkage control system, which comprises a conventional dynamic control unit and an absolute safety anchor point unit, the anchor point unit latches a continuous positioning value of a conventional unit when a binary anchor point sensor is triggered, and the absolute safety anchor point unit locks the continuous positioning value of the conventional unit when the binary anchor point sensor is triggered. The method comprises the following steps of: acquiring a theoretical reference value, comparing the theoretical reference value with the theoretical reference value to generate a drift calibration value, sending the drift calibration value to a conventional unit, and correcting a positioning reference by the conventional unit by using the drift calibration value. The online self-calibration of a control system is realized by using a safety anchor point, so that the safety unit is converted into an active calibrator; the accumulated drift of the high-precision sensor can be avoided during operation.

The invention discloses an intelligent fire early warning method and system for power equipment based on a fire extinguishing patch, and relates to the technical field of intelligent early warning of fire extinguishing devices, and the method comprises the steps: enabling a fire extinguishing device to be connected to an intelligent collection terminal based on a power line carrier communication technology, and building an Internet of Things collection object and configuring an active reporting task; operating parameters of the fire extinguishing device are collected in real time; feature extraction and fault identification are carried out according to the operation parameters in combination with electrical operation environment data of the distribution box; performing multi-level intelligent grading and research and judgment on the fault identification result to obtain an early warning result; triggering an emergency plan according to an early warning result, generating a digital chemical order, and distributing the digital chemical order to a corresponding transformer area manager; through high-frequency real-time data acquisition, rough classification-fine classification fault identification and rule driving dynamic fusion, and a comprehensive early warning method of multi-stage intelligent grading and digital chemical engineering single triggering, the problems of poor fire monitoring real-time performance, low fault identification precision and low emergency response efficiency of power equipment are solved.

The invention discloses a production safety accident emergency management system and method based on full life cycle risk assessment, and the system comprises a full life cycle risk assessment module which is used for achieving the risk dynamic assessment and visualization of a project, and obtaining a risk assessment result; the emergency preparation intelligent association and optimization module is used for establishing an association and driving mechanism of a risk assessment result, an emergency plan, an emergency resource and a training drill; and the closed-loop management and decision support module is used for integrating real-time data, quantitatively evaluating emergency efficiency and reversely driving risk evaluation and emergency preparation optimization. Dynamic risk assessment and whole-process coverage can be realized throughout the whole life cycle, an automatic association and driving mechanism of risk assessment results, emergency plans, emergency resources, training drilling and other preparatory activities is established, and a barrier of emergency preparation and risk assessment is broken through. And through systematized data flow, results of drill assessment and accident review are fed back to risk assessment and plan optimization links, so that a closed-loop management system is formed.

The invention discloses an urban inland inundation risk intelligent monitoring and early warning device based on short and temporary rainfall forecast, and relates to the technical field of urban disaster prevention and reduction and smart cities. The device comprises a generative approach rainfall forecasting module, an urban hydrological underlying surface module, an intelligent waterlogging risk deduction module, a high-performance calculation and data base and an intelligent emergency decision support module, the generative approach rainfall forecasting module outputs high-temporal-spatial-resolution rainfall data, and the urban hydrological underlying surface module provides static and dynamic hydrological data. Inputting the two into an intelligent waterlogging risk deduction module to calculate a dynamic risk level; the high-performance computing and data base provides computing power and data support for all the modules, the intelligent emergency decision support module generates a dynamic risk avoiding path and an emergency plan based on a risk result, and the device improves waterlogging early warning accuracy and emergency decision effectiveness and assists active defense of urban waterlogging.

The invention discloses an intelligent electric power perimeter early warning and diagnosis method and equipment based on microwave radar shooting control, and the method comprises the steps: firstly collecting multi-dimensional data through a plurality of sensors, including microwave radar, video images, environment monitoring, electric power system operation, facility static information and the like; the microwave radar and video image data are preprocessed and subjected to space-time fusion, and target sensing information is obtained. Thirdly, constructing a three-dimensional digital twinborn model based on the static information of the facility, mapping the fused target sensing, environment monitoring and operation data into the model in real time, and generating a real-time twinborn situation; meanwhile, an electric power knowledge graph library is constructed, real-time twinning situations are associated, perimeter safety risks are recognized through semantic reasoning, grades are determined, and root causes are positioned through causal reasoning during faults. And based on the risk level and the real-time situation, dynamically evaluating the risk, generating adaptive early warning information, predicting the potential risk, giving a maintenance suggestion, and intelligently matching an emergency plan. The objective of the invention is to solve the defects of the prior art in the aspect of electric power perimeter safety early warning, realize the conversion from passive response to active prediction and intelligent decision, and improve the safety protection level and operation and maintenance efficiency of electric power facilities.

The invention discloses an agent training and evaluation method and system under typhoon disasters. Constructing a typhoon disaster dispatching knowledge graph according to the power grid typhoon emergency plan and the historical dispatching log; and a large language model is selected and is optimized through double-stage training of supervised learning and reinforcement learning. Generating a disposal flow reasoning plan by using the optimized model, and inserting an original sample to form a complete reasoning sample; analyzing the disaster description, extracting an inference target, generating a multi-hop inference chain according to the disposal priority and the logic constraint, and mapping the multi-hop inference chain to a knowledge graph; and recognizing subject entities in the reasoning process, and outputting answer entities in combination with parallel and sequential sampling and semantic similarity expansion reasoning paths. And finally, a question and answer simulation platform and a question library are built, the reasoning agent is questioned, and the reasoning ability of the reasoning agent is evaluated by adopting multi-angle similarity. According to the method, the automatic reasoning and decision-making level of power grid emergency disposal in a typhoon scene can be improved.

The invention relates to an emergency processing system and method for atmospheric pollution source influence based on DeepSeek, and belongs to the technical field of environmental monitoring, and the method comprises the steps: collecting atmospheric pollutant concentration data, meteorological data and basic information data of surrounding buildings; preprocessing the data; carrying out deep analysis on the preprocessed data based on a DeepSeek model, and judging whether to trigger early warning or not and the early warning degree in combination with a pollutant exceeding standard knowledge base; when abnormal data is found, the constructed knowledge base is retrieved; combining the data retrieved by the knowledge base; the current atmospheric pollution and building influence conditions are retrieved and compared with existing plan cases; and a detailed alarm condition is output, and a targeted emergency plan is generated at the same time. According to the method, based on the DeepSeek data analysis and learning ability, the influence of multiple factors is fully considered, the position of the influenced building is accurately identified, the influence degree is evaluated, and a more reliable basis is provided for environment decision making.

The invention discloses a task allocation management method and system based on big data, and relates to the technical field of task allocation management.The method comprises the steps that multi-modal task requirement input is obtained, cross-domain task elements are extracted, an intention map with weight constraints is constructed, and the intention map with weight constraints is obtained through multi-source data fusion; constructing a resource twinborn body containing a recessive capability label, and updating a resource thermodynamic diagram in real time; solving time, cost and quality Pareto frontiers by adopting a multi-target collaborative optimization model based on the intention atlas weight and the resource twinborn state, and outputting a cross-domain task chain; extreme disturbance is injected into the digital twin environment, a resource redundancy strategy is dynamically adjusted in combination with reinforcement learning, the robustness of a task scheme is verified, and an emergency plan is output; and a traceable task flow is constructed, and the cross-department cooperation state is monitored in real time. According to the method, a closed-loop system of perception-optimization-verification-iteration is formed, so that the overall adaptability and decision reliability of task allocation in a complex environment are remarkably improved.

The embodiment of the invention discloses a flood prevention emergency plan generation method and device based on large model hybrid retrieval enhancement. A specific embodiment of the method comprises the steps of establishing a flood prevention knowledge graph based on multi-source heterogeneous data in the flood prevention emergency field; performing community division on the flood prevention knowledge graph to obtain a flood prevention subject tree knowledge base; in response to the received user plan request information, determining plan request constraint information; retrieving corresponding knowledge fragments from the flood prevention subject tree knowledge base to obtain a knowledge fragment information set; reordering the knowledge fragment information set to construct a flood prevention context; and based on the flood prevention context, utilizing a preset structured prompt template to guide the large model to generate a flood prevention emergency plan, and sending the flood prevention emergency plan to a flood prevention emergency client for flood prevention emergency control. According to the embodiment, the pre-arranged plan containing the technical measures and the resource allocation scheme can be quickly generated, commanders are assisted to make decisions, the dangerous case disposal efficiency is effectively improved, and losses caused by flood disasters are reduced.

The invention relates to the technical field of power transmission and transformation project safety construction, and particularly discloses a power transmission and transformation project-based safety construction method, which comprises the following steps: S1, establishing a temporary site at a construction site according to a formulated construction scheme, completing various preparatory works, and inspecting the safety condition of a construction environment; s2, a safety guarantee system and countermeasures are formulated according to the construction condition, emergency plan rehearsal is conducted regularly, and plan optimization details are adjusted; s3, determining a personnel management system and personnel configuration, monitoring personnel changes and working states, and updating personnel configuration information in real time; according to the construction scheme and the obtained local data, a safety construction system is formulated and optimized, participants are arranged and managed, and the safety awareness of construction personnel and changing personnel is improved through safety behavior standard transaction; an implementation scheme is adjusted according to construction conditions and weather prediction, and emergency plan rehearsal and targeted drilling are performed according to field conditions, so that the capability of dealing with unforeseen circumstances is improved.

The invention provides a station service power recovery control method based on a generator set, and relates to the technical field of black start of photovoltaic power stations, and the method comprises the steps: obtaining the operation data and access process of core equipment according to an emergency plan, and evaluating the actual station service power recovery capability of the generator set according to the impact on the generator set in the access process. The method comprises the following steps: selecting a photovoltaic panel subsystem which preferentially recovers operation according to the impact possibly caused by each photovoltaic panel subsystem on a generator set and a value coefficient of power supply recovery of the photovoltaic panel subsystem, and enhancing the power supply capability of the generator set by the photovoltaic panel subsystem which recovers operation, thereby recovering all station service power. The hidden danger that the generator set collapses due to the access impact of equipment is avoided, and the plant power recovery capability of a power plant is enhanced.

The application discloses a correction method and device of a seismic disaster personnel casualty assessment model and a storage medium, and relates to the technical field of disaster emergency management. By constructing an emergency preparedness index and an emergency response index as a nonlinear attenuation correction factor, the traditional assessment model's defects of relying on expert experience for manual correction and lacking in automation and intelligence are overcome. The coupling correction formula takes the nonlinear attenuation correction factor as the core, and through the multiplication coupling of independent double indexes, the synergistic attenuation effect of emergency preparedness and emergency response is accurately reflected. Through a closed-loop optimization mechanism, highly reliable data support is provided for emergency command. The correction process not only outputs personnel casualty prediction values, but also quantitatively diagnoses regional resilience by generating an emergency preparedness index and an emergency response index, so that emergency plans can be optimized, rescue force deployment can be adjusted or popular science drills can be strengthened, thereby directly serving the active prevention and control and rapid recovery goals of a resilient city.

The invention discloses an emergency plan updating method and device, a storage medium and a product, and relates to the technical field of cloud platform operation and maintenance, and the method comprises the steps: generating a plan updating work order under the condition that a change event in a private cloud environment has an influence on an emergency plan; running state detection processing is carried out on the private cloud environment to obtain a detection processing result, a state maintenance work order is generated through the detection processing result, the detection processing result comprises at least one of an inspection result and an inspection result, the inspection result is a processing result of health state inspection, and the inspection result is a processing result of switching condition inspection; based on the scheme updating work order and the state maintenance work order, the emergency plan is dynamically updated, the plan failure risk caused by the change event is actively identified, the problem that the plan fails and cannot be found due to the dynamic change of the environment is avoided, the real-time dynamic updating of the emergency plan is realized, and the working efficiency is improved. And the plan can be effectively executed under the condition that the private cloud environment dynamically changes.

Provided in the present application are an emergency plan management method for emergency events, and an emergency linkage control method and system. The emergency plan management method for emergency events comprises the steps of: acquiring on-site monitoring data of historical emergency events and corresponding emergency plans thereof; performing structured processing on the emergency plans, decomposing the emergency plans into a plurality of minimum executable units having a clear sequential execution order, and according to the types, severities and impact scopes of the emergency events, classifying the emergency plans into different levels, so as to establish an emergency plan database; and each time an emergency event occurs, recording on-site monitoring data, an executed final emergency plan and actual rescue decision-making data, and by means of a machine learning algorithm, learning the on-site monitoring data and the actual rescue decision-making data of the emergency event, so as to update and optimize the emergency plan database.

The invention discloses a mountain torrent disaster risk avoiding guidance and emergency command system and method based on edge computing, and relates to the technical field of mountain torrent disaster dispatch, in the method, an edge disaster sensing and gathering module gathers disaster dynamic data and positioning information on a target monitoring mountainous area map, and a comprehensive disaster situation map is constructed; an intelligent risk-avoiding path planning module automatically plans a risk-avoiding path by using a dynamic cost grid algorithm and an A path-finding algorithm according to the comprehensive disaster situation map, and generates a path instruction; a self-adaptive emergency command decision module automatically matches a preset emergency plan to generate a command instruction according to the real-time submerging range, the early warning level and the affected population density of each disaster area; and the multi-mode guide instruction issuing module sends a path instruction and a command instruction. According to the invention, the efficiency and rationality of mountain torrent disaster risk avoiding guidance and emergency command can be improved.

The application provides a digital plan execution optimization method for generating an optimal disaster relief task execution sequence of a current emergency plan when a disaster occurs in a park, and the method comprises the following steps: acquiring a current emergency plan and various resources in the current park; disassembling the current emergency plan to generate a task list containing at least two execution tasks; and generating an optimal execution path of the current emergency plan based on the task list and the various resources, wherein the optimal execution path is the current optimal disaster relief task execution sequence. When a disaster occurs in the park, the application disassembles the emergency plan matched with the current situation into an executable task list, then allocates resources in combination with the existing resources in the park, so that the resources required by each task during task execution are the most suitable resources at present, and then the optimal task execution path is obtained according to the currently allocated resources and the task execution path, thereby improving the response time and efficiency of disaster relief.

The invention discloses a father-child plan associated emergency plan system, a father-child plan associated emergency plan execution method, equipment and a computer program product, and the system comprises an interaction layer which is used for receiving operation instructions of a user, including a plan creation and configuration instruction and a plan execution instruction; the control layer is used for responding to a plan creation and configuration instruction, creating and configuring a sub-plan execution component in an atomization mode, generating a configured sub-plan and nesting the sub-plan into a corresponding parent plan, and generating an emergency plan task associated with the parent plan and the sub-plan; and the execution layer is used for responding to the plan execution instruction, calling a plan execution tool to remotely execute the emergency plan task based on the distributed task queue, and monitoring the execution state of each sub-plan execution component in the emergency plan task. According to the emergency plan system, atomization packaging, multi-stage nested arrangement and remote automatic execution of the plan are realized, and the flexibility, maintainability and execution reliability of the emergency plan system are improved.

The invention discloses a deep ground medical first-aid digital twinning method based on an environmental physiological coupling algorithm. The method comprises the following steps: data acquisition and digital twinning modeling; matching first-aid knowledge; generating an intelligent first-aid scheme; and scheme execution and real-time feedback: pushing the scheme to a deep ground rescue terminal through ultralow frequency communication and Beidou short message double links, receiving execution state feedback in real time, updating the digital twin model, and dynamically adjusting the scheme according to environment and physiological data changes to form closed-loop management. The method has the advantages that the environment and physiology coupling algorithm conducts collaborative modeling through multiple parameters such as temperature, pressure, gas concentration and humidity, the limitation of traditional single parameter correlation is broken through, and the comprehensive influence of the deep complex environment on core physiological indexes such as the heart rate, blood oxygen and body temperature of the human body can be dynamically and accurately reflected; the problem that in an existing scheme, the environment scene is disjointed with the human physiological state is effectively solved, and it is ensured that the first-aid scheme can meet the real physiological needs of trapped people.

This application provides a method and system for the intelligent transformation of an existing arch dam. The method includes: diagnosing, evaluating, optimizing, and supplementing the existing monitoring system of the arch dam, and outputting standardized and fused multi-source monitoring data; constructing and refining a simulation model based on the multi-source monitoring data to build a digital twin reflecting the current operational status of the arch dam; analyzing the operational status of the arch dam over a future period based on the digital twin, performing hydrological-hydraulic integrated diagnosis and dynamic simulation, and generating decisions for routine or emergency scheduling; and executing closed-loop control actions on the arch dam gates through a gate control system integrated with safety interlocking and remote communication capabilities, according to the control instructions or emergency plan.

The invention discloses a power grid enterprise emergency plan system assessment method and system, a medium and equipment, and belongs to the technical field of emergency plan system assessment, and the power grid enterprise emergency plan system assessment method comprises the steps: constructing an emergency plan assessment index system; key risk indexes are identified through a fuzzy Delphi method; carrying out dynamic weight distribution on the key risk indexes based on a Bayesian best worst method; a fuzzy comprehensive evaluation method is combined with the maximum membership degree principle, and comprehensive evaluation is carried out on the emergency plan system; constructing a comprehensive risk early warning model, and calculating an early warning value of each index and an overall early warning level; and outputting an evaluation result and an early warning level. According to the method, comprehensiveness, systematicness, feasibility and practicability of emergency plan system evaluation indexes can be ensured, and emergency capability construction of power grid enterprises can be objectively and effectively evaluated.

This application provides a rail transit safety risk management and control system, which includes: a historical resource database module for storing and managing historical cases related to rail transit safety risks; a flood control situation map module for overlaying and rendering rail transit network layers and dynamic meteorological layers on a high-precision GIS map; a two-layer command simulation module that restricts different operators to separately perform the reporting and tracking of single-line event information and the centralized review and cross-line dispatching of events on multiple lines; and an emergency management module for transforming structured flood and typhoon prevention emergency plans into interactive digital dashboards and dynamic flowcharts. By constructing an integrated platform that combines intelligent historical case mining, spatiotemporal visualization of risk situations, hierarchical collaborative command simulation, and digital emergency plan drills, this system optimizes global situational awareness, scientific decision support, and efficient emergency response capabilities in the face of systemic risks such as flood and typhoon prevention.

The application discloses a kind of urban rail transit emergency disposal recommendation methods, steps are as follows: the device data relationship information is constructed;Device spatial relationship information is constructed;The multi-dimensional device knowledge graph including device static data relationship and dynamic spatial relationship is constructed;Emergency disposal preplan configuration recommendation strategy is trained;Emergency disposal preplan configuration recommendation strategy obtained by training is used to carry out configuration recommendation;Emergency disposal preplan execution recommendation strategy is trained;Emergency disposal preplan execution recommendation strategy obtained by training is used to carry out execution recommendation.The application is simplified by emergency configuration recommendation learning emergency preplan configuration, and the connection between emergency preplan and emergency linkage device is strengthened by emergency execution recommendation, and emergency disposal result or emergency exercise evaluation result can provide effective reference for subsequent emergency disposal.

The invention discloses a modularized emergency plan system, a modularized emergency plan arrangement and execution method, equipment and a computer program product, and the system comprises an interaction layer which is used for receiving a plan arrangement operation instruction of a user and forwarding the plan arrangement operation instruction to an application service layer; the application service layer is used for responding to the plan arrangement operation instruction, performing plan arrangement based on a plurality of predefined plan atomization components, generating an emergency plan task template, calling the emergency plan task template to perform plan execution, and obtaining a plan execution result; and the data storage layer is used for storing an emergency plan task template and a plan execution result. According to the invention, flexible arrangement and efficient execution of the emergency plan are realized through layered architecture design, the design of the interaction layer reduces the use threshold of a user and improves the efficiency and flexibility of plan arrangement, and the system supports other scenes to realize own emergency scenarized requirements through calling an API, and the universality and expansibility of the system are enhanced.

The invention belongs to the technical field of data center fire fighting, and relates to a data center fire fighting operation analysis method. The method comprises the following steps: constructing a digital twinborn model, dynamically deducing a fire extinguishing time sequence chain, and sequentially executing double-link verification of an alarm signal and manual confirmation; further starting an identity and video dual confirmation process for the verification failure node, and triggering a replacement confirmation signal if necessary; and finally, integrating fire extinguishing coverage, verification states and confirmation results, judging the safety state of the system according to multiple criteria, and automatically positioning weak points to generate reinforcing marks. According to the method, the problems that traditional simulation neglects human factors, emergency plan upgrading is difficult to continuously assess, and a root cause cannot be automatically positioned are solved, panoramic and quantitative assessment of the operation safety of the fire fighting system is realized, and the assessment reliability, the system adaptive capacity and the anti-risk level are remarkably improved.

The invention discloses an intelligent tunnel supporting method and system based on data drift detection. The method comprises the steps that actual monitoring data in the tunnel supporting process are obtained; determining a preliminary support scheme according to the actual monitoring data and the support intelligent decision model; calculating a drift index between the actual monitoring data and the reference monitoring data; judging whether the actual monitoring data drifts or not according to the drifting index; when it is judged that the actual monitoring data drifts seriously, the conservative support emergency plan is used as a final support scheme, and the support intelligent decision model and the reference monitoring data are updated, so that the accuracy of the support scheme is ensured, and the safety of support engineering is improved.

The application discloses a kind of based on big data's task allocation management method and system, it is related to task allocation management technical field, the method includes: obtaining multimodal task demand input, extract cross-domain task element, construct intent graph with weight constraint, and construct resource twin containing implicit ability label by multi-source data fusion, real-time update resource heat map;Based on intent graph weight and resource twin state, using multi-objective collaborative optimization model, solve time, cost and quality Pareto frontier, output cross-domain task chain;Injection extreme disturbance in digital twin environment, combined with reinforcement learning dynamically adjusts resource redundancy strategy, verifies task scheme robustness and outputs emergency plan;Build traceable task flow, real-time monitoring cross-department cooperation state.The application forms "perception-optimization-verification-iteration" closed loop system, significantly improves the overall adaptability and decision reliability of task allocation under complex environment.

The invention discloses an intelligent alternating current organization and emergency plan generation method and system, and relates to the technical field of traffic plan generation, and the method comprises the steps: constructing an intelligent data hub, enabling heterogeneous data from vehicles, roads, meteorology, municipal administration, social contact and alarm desks to be accessed to the intelligent data hub, and generating a real-time traffic situation map; establishing a high-fidelity urban traffic digital twin model, and generating a traffic situation digital model; acquiring traffic accident information, and extracting a current road network state, an event influence range and a rescue resource position; generating a road state relieving scheme, and generating an emergency resource scheduling scheme; generating an emergency plan, and sending the emergency plan to a human expert for auditing and modifying; and recording audit modification contents of human experts, generating scheme correction knowledge, and sending the scheme correction knowledge to a scheme generation link. The method and the device have the effects of improving the speed of information flow processing and emergency scheme generation, and improving the efficiency and comprehensiveness of resource scheduling and coordination.