22 results about "Earthquake disaster" patented technology

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.

This invention discloses an earthquake disaster simulation training method and system, aiming to solve the problems of low multi-system timing synchronization accuracy, insufficient immersion and training realism, fixed configuration, and high scene adaptation costs in existing earthquake simulation systems. This method initializes the system by loading a structured configuration file, establishing a globally unified time reference for all system control nodes; it uses real-time audio-visual timecodes to drive the calculation of the target magnitude, generating synchronization control commands with unified execution timestamps to achieve timing alignment of vibration, audio-visual, and environmental effects; it implements hierarchical safety control throughout the entire process, and completes system reset through a progressive termination sequence after the process ends. This invention significantly improves the synchronization accuracy and immersion of earthquake simulation, enhances system scalability, reduces scene adaptation costs, and ensures the safety of the training process.

The application discloses a strong ground motion risk assessment method and system fusing multi-source data, relates to the technical field of multi-source data fusion, and calculates the time offset relationship of a satellite positioning sequence Gns and a radar deformation sequence Ins relative to a unified time reference Tref by using the unified time reference Tref, and performs time correction processing on a multi-source original set Dor by constructing a time offset matrix Tmx, so that a corrected data set Dsc with a unified time structure is formed. Fusion analysis is performed on the corrected data set Dsc to form a fusion feature set Fus, and the vibration propagation relationship is calculated based on the fusion feature set Fus to obtain a propagation path Pth, and finally, a risk result Rsk and a corresponding risk level Lev are output. The problem of misjudgment of the vibration propagation order caused by the time record difference of different observation systems can be avoided, and more reliable data basis is provided for earthquake disaster warning and emergency decision-making.

The application discloses an emergency material ground-air cooperative distribution intelligent scheduling method and system, which firstly acquires the state information and external environment information of a UAV and an unmanned transport vehicle in real time; a scheduling scheme is established by using the acquired information, and a genetic algorithm is adopted to optimize the scheduling scheme for multiple generations; the optimal task allocation and path length planning are calculated by comprehensively considering multiple performance indexes such as distribution time, transportation cost and path length; the unmanned transport vehicle transports the materials from a material reserve center to a gathering point or a temporary resettlement point in the periphery of a disaster area according to the optimized scheduling scheme; and the UAV accurately delivers the materials from the gathering point or the temporary resettlement point to a target area. The two-stage mode of 'unmanned transport vehicle distribution + UAV end delivery' is adopted to execute the distribution task, the scheduling scheme suitable for the environment of the disaster area can be accurately formulated and efficiently executed, and the timeliness and accuracy of the emergency material distribution in the earthquake disaster area are effectively improved.

The application discloses a bridge rescue training facility and method, and belongs to the technical field of bridge rescue training facilities.The bridge rescue training facility has a bridge area and an under-bridge area, and a plurality of engineering elevators and a plurality of staircases are arranged on the sides of the bridge area, the engineering elevators are used for assisting in carrying instruments to the bridge surface, the bridge rescue training facility is provided with structural stress monitoring sensors at structural stress points, the structural stress monitoring sensors are used for monitoring the structural stability in real time, and an automatic alarm is given when a structural member is damaged or reaches a maximum set stress value; the bridge area is provided with a bridge intact section, a bridge damaged section and a traffic accident occurrence section; the under-bridge area is provided with a dangerous chemical tank vehicle accident occurrence section; the bridge damaged section is provided with bridge damage points and a bridge fracture zone; the bridge damaged section simulates the bridge superstructure damage, the bridge substructure damage, the foundation damage and the bridge fracture scene after an earthquake disaster, and the bridge damaged section is used for carrying out the training of rapidly rescuing and repairing a damaged bridge; and the bridge damage points are located at the bridge surface plate, the beam plate, the anti-falling baffle, the support seat, the pier column and the foundation part.

This invention provides a method and system for collaborative scheduling of unmanned vehicles and drones on earthquake-damaged roads, belonging to the field of earthquake disaster relief scheduling technology. It includes constructing an unmanned vehicle road network and a drone flight path network; acquiring road condition changes, demand data, and vehicle status based on the unmanned vehicle road network and drone flight path network; constructing a comprehensive objective function with the goals of minimizing total rescue time, ensuring fair allocation of relief supplies, and maximizing the efficiency of casualty transfer; solving the comprehensive objective function based on road condition changes, demand data, and vehicle status to obtain a post-earthquake relief supply transportation and casualty transfer scheme under unmanned vehicle-drone collaboration. This shortens the rescue and road clearing time, enables multi-objective collaborative operation of unmanned vehicles and drones, and improves the efficiency of material delivery during the golden rescue period.

The application provides an earthquake post-unmanned vehicle and unmanned aerial vehicle cooperative scheduling method based on edge computing, belongs to the technical field of earthquake disaster rescue scheduling, and comprises the following steps: initializing an unmanned vehicle and an unmanned aerial vehicle cluster, and acquiring rescue material state data and wounded data; constructing a comprehensive target function, solving the comprehensive target function based on the rescue material state data and the wounded data, and obtaining material and wounded scheduling; acquiring required real-time data based on an edge node, feeding back the real-time data to a control center through an edge server, re-planning a path and calculating unloading, and dynamically allocating the material and wounded scheduling; and improving post-earthquake material transfer timeliness and wounded survival rate by using intelligent scheduling of unmanned vehicle and unmanned aerial vehicle cooperation.

The present application relates to the technical field of earthquake engineering, and provides a method for determining the seismic response of an engineering site under the action of a seismogenic fault, comprising the following steps: S1, determining the bedrock surface of the engineering site; S2, establishing the scale range of the engineering site; S3, selecting near-fault ground motion records and site categories for inputting seismic waves; S4, outputting the site response under the input of ground motion; and S5, outputting the site response under the input of dislocation. 地表 The dislocation input of the finite element software site earthquake is used to obtain the surface displacement deformation characteristics and select the maximum displacement value D 位移 The present application provides a method for selecting near-fault ground motion records considering dislocation in a consistent manner for the site classification of the input mode of the calculation and analysis of the seismogenic fault engineering site, respectively strips the seismic input of the acceleration time history and the bedrock dislocation amount input, and is closer to the actual earthquake disaster, so as to provide reasonable design parameters for the seismic design of the engineering structure and the design of the anti-fracture capacity.

The application discloses a method and system for generating an emergency evaluation state of a seismic disaster data driving polymorphism, and relates to the technical field of emergency management and early warning. The method comprises the following steps: obtaining initial disaster evaluation result data; generating credibility data and performing threshold comparison, and marking the data meeting the conditions as to-be-confirmed evaluation data; gathering continuous to-be-confirmed data in a spatial region as a dimension to form regional evaluation sequence data; performing stability analysis on the sequence to generate evaluation stability data, and converting the data meeting the conditions into confirmed evaluation data through threshold comparison; performing trend fitting on the sequence corresponding to the confirmed data to generate evolution direction data and an emergency level dynamic adjustment instruction; and generating final emergency state data by comprehensively combining the confirmed data and the adjustment instruction. The application effectively suppresses false alarms and response instruction swings by constructing a seismic emergency evaluation digital twin, and improves the robustness and reliability of emergency decision-making.

The application discloses a kind of according to nuclear density and machine learning Seismic Numerical Prediction Method, belong to the technical field of earthquake prediction.The method includes: the original earthquake catalogue data is standardized and energy correlation is handled, and standard earthquake catalogue data is formed, and the minimum complete magnitude is determined by completeness processing to standard earthquake catalogue data, and the complete earthquake catalogue is obtained by screening;The first and second bandwidth are determined by nuclear density bandwidth sensitivity test to the complete earthquake catalogue, the time and magnitude sliding window are combined, the seismic frequency and energy nuclear density distribution of target area are calculated, and the nuclear density anomaly distribution data is obtained by difference with long-term average nuclear density distribution;The nuclear density anomaly distribution data of target magnitude range under multiple time scales is input into pre-training random forest model, and the occurrence prediction result of target magnitude earthquake in target area is output.The method improves the spatial accuracy and timeliness of earthquake prediction, and provides technical support for earthquake disaster risk prevention and control.

This invention discloses a big data analysis-based system for assessing weak links in urban earthquake disaster risk. The system includes: a data acquisition and preprocessing module, a preliminary screening indicator system construction module, a coupling analysis and correction module, and a risk assessment module. The data acquisition and preprocessing module acquires multi-source raw data related to urban earthquake disasters and performs preprocessing operations. The preliminary screening indicator system construction module constructs a preliminary screening risk indicator system based on the preprocessed multi-source data. This invention relates to the field of earthquake disaster risk assessment technology. This big data analysis-based system for assessing weak links in urban earthquake disaster risk, through the construction of a preliminary screening risk indicator system and the correction of a coupling analysis model, can effectively identify deviations in risk assessment and automatically adjust them, reducing the impact of unstructured interference on the results and improving the accuracy and reliability of the assessment.

This disclosure provides a method, system, equipment, and medium for assessing urban seismic resilience and logistical support capabilities. The method includes: constructing a logistical support capability assessment index system based on established assessment index system construction principles and core assessment dimensions for earthquake disasters; building a specialized database; generating an original data matrix based on the original index scores of multiple index parameters for each object to be evaluated; transforming the original data matrix into a weighted normalized matrix based on the comprehensive weights retrieved from the logistical support index weight database; calculating the Euclidean distance and proximity of each object to be evaluated based on the positive and negative ideal solutions determined from the weighted normalized matrix to obtain the proximity of each object; and quantitatively assessing the proximity of each object to be evaluated against preset threshold information to determine the evaluation level of each object, thereby achieving an accurate and reliable assessment of logistical support capabilities from the perspective of urban seismic resilience.

The utility model relates to the technical field of earthquake disaster emergency, specifically relates to a ark refuge bed, including metal triangle shell, metal dome inner shell, filling layer, two sealing plates, first fireproof metal composite board, second fireproof metal composite board, hydraulic buffer column and spring, tool box, water making subassembly, signal transmitting subassembly, air exchange subassembly, closed subassembly and lighting subassembly, when using, metal triangle shell and two sealing plates constitute external protective barrier, rely on the compression resistance of metal triangle shell and metal dome inner shell to resist external impact, filling layer converts external force into self deformation energy, the mattress is combined by first fireproof metal composite board, second fireproof metal composite board and hydraulic buffer column and spring, prevent sudden heavy pressure or fall from high-rise house to the whole refuge bed buffering compression resistance, improve the compression resistance of device through such mode, make it can resist the impact and extrusion of collapsed building, be convenient for refuge personnel operation and use.

This invention relates to the field of power facility safety monitoring technology, specifically a multi-dimensional monitoring and early warning system for earthquake disaster prevention and mitigation of power lines. The system includes: collecting data through sensor arrays deployed on poles and conductors; utilizing edge computing nodes to perform spatiotemporal registration and fusion of heterogeneous data to construct a multi-dimensional monitoring data cube indexed by geographic coordinates and timestamps, achieving spatiotemporal alignment of multi-source information. Based on this cube, multi-dimensional joint features are extracted and input into a pre-trained multi-scale risk assessment network. This network integrates historical earthquake data to generate risk scenario evolution paths, thereby outputting a structural risk probability sequence. Finally, combined with real-time meteorological and geological data, structured early warning information including warning level, location, and impact range is generated. This system improves the efficiency of fusion processing of massive heterogeneous monitoring data and the dynamic prediction capability of risk assessment, achieving accurate early warning of earthquake disaster risks to power lines.

This invention discloses a multi-resource collaborative scheduling method for distribution networks under earthquake disasters, designed to address the challenges posed by the uncertainty of line faults and the interruption of power supply to critical loads caused by earthquakes to the operation of distribution systems. The method constructs a line fault probability model using a seismic attenuation model and vulnerability curves from the US Earthquake Disaster Loss Assessment System, and introduces line reinforcement decisions to form a decision-dependent uncertainty model, accurately reflecting the coupled impact of earthquake intensity and planning decisions on line faults. Simultaneously, a multi-dimensional flexible resource scheduling framework integrating mobile hydrogen energy resources, building thermal inertia, and demand response is adopted to enhance energy supply capacity and system resilience during the disaster phase. A 1-norm-based multi-resource collaborative scheduling optimization model is introduced to characterize the probability shift of earthquake scenarios, and a column constraint generation algorithm is designed to achieve efficient collaborative solution of planning and scheduling. This invention can significantly improve the operational reliability of distribution networks under earthquake disaster scenarios and has certain engineering application value.

This utility model provides a simulated earthquake post-disaster rescue training inclined tower, relating to the field of rescue training building technology. It includes: poured concrete, with a movable groove on one side of the top of the poured concrete, a slight vibration device installed inside the movable groove, and the training inclined tower mounted on top of the slight vibration device. A fixed groove is formed on the other side of the top of the poured concrete, and a fall arrestor is installed inside the fixed groove. This utility model uses the slight vibration device, along with two large lifting hydraulic rods on both sides, to slightly shake the connecting plate and the training inclined tower from both sides, simulating the effect of slight aftershocks after an earthquake, thus improving the effectiveness of rescue personnel's training. The fall arrestor, through the damper and spring's rebound force, cushions the rescue personnel from accidental falls during training, preventing injury caused by the large impact force of a fall.

This invention discloses a method and apparatus for earthquake disaster risk assessment. The method includes: acquiring historical comprehensive earthquake intensity, distribution information of active seismic fault zones, and peak ground acceleration (PGA) of a target area; calculating earthquake occurrence parameters of the target area based on the historical comprehensive earthquake intensity, the distribution information of active seismic fault zones, and the PGA; acquiring historical disaster case data of the target area; calculating the seismic vulnerability of disaster-bearing bodies based on the historical disaster case data of the target area using a preset disaster-bearing body vulnerability assessment model; and conducting an earthquake disaster risk assessment of the target area based on the earthquake occurrence parameters and the seismic vulnerability of disaster-bearing bodies using a preset seismic risk assessment model. This method fully considers the possibility of earthquake occurrence and the severity of disaster losses, providing a scientific basis for formulating effective disaster prevention and mitigation measures, thereby significantly reducing potential losses.

1. Name of the product in this design: Rescue Robot. 2. Purpose of this design: for search and rescue operations in earthquake disaster environments. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application provides a kind of urban system earthquake disaster resilience dynamic measurement method, system, equipment and medium, belong to urban risk management and disaster prevention planning technical field.The method includes: constructing the earthquake disaster resilience multilayer network model comprising multiple network layers corresponding to different urban subsystems to represent the dependence relationship within the system and across systems;Based on the topology and real-time state data of the model, the comprehensive resilience index is dynamically calculated, which is obtained by integrating the three-dimensional index set of function synergy degree, structural stability and resource potential;Based on the comprehensive resilience index, the resilience critical threshold is determined using the prediction model and threshold determination technology;Finally, by comparing the real-time or predicted resilience index with the critical threshold, the intelligent early warning of resilience level is realized, and the decision support is generated based on the network model analysis.The application realizes the transformation of urban earthquake disaster resilience from static evaluation to dynamic real-time monitoring, and solves the problem of existing method system isolation and model simplification.

The application discloses a combined well arrangement method of surface vertical shaft and underground horizontal well, comprising the following steps: determining vertical shaft estimated fracturing information and horizontal well estimated fracturing information according to obtained fracturing construction information of surrounding mines; obtaining the width of a working face to be mined and the lateral mining crack range of a mined working face; determining vertical shaft construction information according to the width of the working face to be mined, the lateral mining crack range and the vertical shaft estimated fracturing information; performing fracturing construction on thick and hard roof based on the vertical shaft construction information to obtain a vertical shaft fracturing range; determining horizontal well construction information according to the horizontal well estimated fracturing information and the vertical shaft fracturing range; and performing fracturing construction on a main rock stratum of impact based on the horizontal well construction information; the multiple surface vertical shafts are divided into at least two vertical shaft groups arranged along the tendency of the working face to be mined; the combined well arrangement method can perform omnidirectional fracturing pressure relief on thick and hard roof of an ultra-long working face, and realizes the cooperative prevention and control of rock burst and mine earthquake disaster.

This invention belongs to the field of data processing and civil engineering technology, specifically disclosing an artificial intelligence-based method for assessing the seismic performance of structures. The method includes: acquiring multi-source heterogeneous response data through a sensor array and processing it to construct an operational state feature space; constructing a damage evolution model with nonlinear path-dependent characteristics and extracting irreversible damage evolution features; establishing a simulated neural synapse self-healing model, transforming physical damage features into changes in the connection strength of neural synapses; using an analog amplifier algorithm to search for the lowest energy point in the global parameter domain, identifying the adaptive optimization path and vitality core region in the post-earthquake stress redistribution process of the structure; comprehensively evaluating the remaining bearing capacity and recovery potential of the building structure and outputting an assessment report. This invention, by simulating the plasticity of the biological nervous system, achieves accurate capture of the structural damage evolution process and scientific prediction of post-earthquake recovery capabilities, improving the resilience and safety of structures in the face of earthquake disasters.