192 results about "Earthquake disaster" patented technology

The invention belongs to the technical field of earthquake disaster scene recognition, and discloses an earthquake disaster scene recognition method based on deep learning. The method comprises the following specific steps: S1, data acquisition and preprocessing; S1.1, multi-source heterogeneous data acquisition and establishment of a comprehensive database containing seismic waveform data, surface deformation data, building structure data, geographic information data and historical disaster record data; through fusion of a 3D convolutional network, a graph attention mechanism, a space-time LSTM and an adaptive cross-modal attention fusion technology, combined modeling of a seismic waveform space-time evolution law, an earth surface deformation space distribution characteristic, a building group topology vulnerability and disaster chain time sequence association is realized, the characterization capability of a complex nonlinear disaster mode is effectively improved, and the method has the advantages of high adaptability and high reliability. And disaster assessment response time is shortened to a sub-second level through mixed precision quantification and edge computing deployment, and high recognition accuracy is still kept in a scene with strong noise and data missing in combination with a multi-task classifier and a physical constraint verification mechanism.

The invention belongs to the technical field of earthquake disaster scene construction, and discloses an earthquake disaster scene construction method based on big data, and the method comprises the following specific steps: 1, multi-source heterogeneous data collection and preprocessing ground structure data collection: employing a multi-platform remote sensing technology to obtain urban building group space distribution characteristics; a three-dimensional coupling model of an underground pipe network and a ground building is constructed by integrating multi-source data, so that the defect of isolated analysis of a ground system and an underground system in a traditional method is overcome, and synchronous simulation of a dynamic association process of pipe network fracture and building damage is realized; the additional influence of pipe network failure on the building foundation stability and the linkage effect of soil erosion caused by leakage fluid are accurately analyzed, meanwhile, a time-space association rule of pipe network fracture events and multiple types of secondary disasters such as building fire disasters and fire fighting failure is established, and the building group function paralysis risk and the disaster diffusion range under different damage degrees are dynamically predicted; and the disaster evolution path is displayed in real time through a visual platform.

The invention relates to the technical field of urban earthquake disaster simulation, and provides a visualization system and method for urban building group earthquake disaster simulation, and the system comprises an offline data preprocessing and block organization module and a block dynamic data management and scheduling module. The GPU acceleration rendering module is used for mapping a global floor index to a vertex to endow the vertex with a unique identifier, and finally submitting the combined model to a GPU, and cooperating with a displacement texture and a user-defined shader to realize real-time rendering of a building form; the GPU parallel displacement picture moving module is deeply coupled to the GPU rendering pipeline and is used for resolving the vertex displacement and the color value in real time and injecting the vertex displacement and the color value into the rendering pipeline; and the efficient interaction module dynamically updates label contents and coordinates to realize three-dimensional interaction. According to the method, massive time sequence displacement data are coded into textures, and parallel calculation is performed by using the GPU vertex shader, so that real-time and smooth animation simulation of earthquake responses of all buildings is realized, and the performance bottleneck of a traditional CPU calculation mode is solved.

The invention provides a spatial visualization display method and system combined with an earthquake disaster situation database, and the method comprises the steps: firstly obtaining the earthquake disaster situation database containing various disaster situation recording units with geographic coordinate marks, carrying out the disaster situation feature extraction processing, and obtaining the disaster situation distribution correlation features and attribute correlation features of the disaster situation recording units, calling a pre-constructed visual mapping model to carry out visual rule mapping processing on the disaster situation distribution association characteristics and the attribute association characteristics, generating a visual rule set containing a spatial position mapping rule and an attribute value mapping rule, and constructing a disaster situation spatial visual display model according to the visual rule set. The earthquake disaster situation space visualization display unit is used for converting the disaster situation recording unit into visualization elements with spatial position identifications and attribute value identifications and finally outputting earthquake disaster situation space visualization display results containing disaster situation distribution graphs of different geographic coordinate positions and associated labeling information of corresponding attribute values. And the intuition and decision-making scientificity of earthquake disaster information display are improved.

The invention discloses a combined well spacing method for a ground vertical well and an underground horizontal well, which comprises the following steps of: determining estimated fracturing information of the vertical well and estimated fracturing information of the horizontal well according to acquired fracturing construction information of a surrounding mine; the width of the to-be-mined working face and the lateral mining-induced fracture range of the mined working face are obtained, vertical well construction information is determined according to the width of the to-be-mined working face, the lateral mining-induced fracture range and vertical well estimated fracturing information, fracturing construction is conducted on the thick and hard roof based on the vertical well construction information, and the vertical well fracturing range of a ground vertical well is obtained; and horizontal well construction information is determined according to the horizontal well estimated fracturing information and the vertical well fracturing range, and fracturing construction is conducted on the impact main control rock stratum based on the horizontal well construction information. According to the combined well spacing method for the ground vertical well and the underground horizontal well, the well spacing scheme that the ground vertical well and the underground horizontal well are matched with each other is adopted, sufficient fracturing and pressure relief can be conducted on a thick and hard top plate, and cooperative prevention and control over rock burst and mine earthquake disasters are achieved.

The invention discloses an emergency management intelligent detection alarm system and method based on multi-modal information, and the system obtains and fuses the multi-source information of seismic waves, building structures, urban pipe networks and the like through a multi-modal seismic information collection and fusion module, and calculates the dynamic response through a dynamic analysis module based on an improved Newmark-beta algorithm. And a finite element simulation model building module is combined with city parameters to build a high-precision model. The LSTM-PINN hybrid analysis model module carries out deep analysis and prediction on data, the disaster risk assessment and classification module completes risk classification in combination with population and economic parameters, and finally the intelligent detection alarm module triggers corresponding alarms according to classification results and sends information in multiple channels. The method comprises the steps of information acquisition, dynamic analysis, model construction, disaster prediction, risk assessment and grading, alarm and the like, intelligent detection and accurate alarm of urban earthquake disasters are realized, and the emergency management efficiency and reliability are improved.

The invention discloses an earthquake disaster loss dynamic assessment method and system based on multi-source disaster situation data, and relates to the technical field of earthquake disaster loss assessment, and the method comprises the following steps: S1, obtaining the multi-source original data of an earthquake disaster, and carrying out the preprocessing, the multi-source original data comprises seismic oscillation parameter data and multi-source disaster data; and S2, based on the preprocessed multi-source data, constructing a coupling driving model of the earthquake influence field and the multi-source disaster situation data, and generating a regional disaster damage thermodynamic map. According to the earthquake disaster loss dynamic evaluation method and system based on the multi-source disaster situation data, the earthquake multi-source disaster situation data is acquired, the coupling driving model of the earthquake influence field and the multi-source disaster situation data is constructed, and the influence of various factors on the earthquake disaster loss is comprehensively considered, so that the limitation that a traditional method depends on a single data source is overcome; the real situation of earthquake disaster loss can be reflected more comprehensively and accurately, and a more reliable basis is provided for rescue decision making.

The invention discloses a multi-source data fusion-based power transmission tower earthquake damage assessment and emergency response method and system. The method comprises the steps of collecting and preprocessing multi-source data of geological disasters of a power transmission tower; constructing a multi-modal fusion-digital twinborn driven dynamic transmission tower earthquake damage evaluation model, and evaluating the preprocessed multi-source data; and generating a corresponding emergency response strategy based on the evaluation result. According to the method, the multi-source data of the geological disaster of the power transmission tower is analyzed and processed by using the multi-modal fusion-digital twinning driven dynamic power transmission tower earthquake damage assessment model, so that the current damage can be comprehensively assessed according to the multi-source data, the evolution trend under aftershock and secondary disaster can be accurately predicted, and prospective early warning is realized.

The invention discloses an earthquake disaster risk assessment method based on a complex network model, and relates to the technical field of earthquake disaster assessment. Comprising the following steps: S1, constructing an earthquake disaster complex network model; s2, data acquisition and preprocessing; s3, topological structure analysis; s4, constructing a risk assessment index system; and S5, establishing a mathematical model and calculating a risk level. The earthquake disaster complex network model constructed by the invention can comprehensively and intuitively describe the complex mutual relation among the elements in the earthquake disaster system, overcomes the defect that the traditional assessment method is insufficient in consideration of the system complexity, and improves the accuracy and reliability of the assessment result.

The invention relates to the technical field of earthquake disaster emergency monitoring, in particular to an intelligent recognition system and method for an earthquake ground surface broken zone, and the system comprises a heterogeneous data registration module, a feature extraction and fusion module, a broken zone segmentation module, an active learning module, a morphological optimization module and the like, and achieves the precise processing of remote sensing data and the intelligent recognition of the broken zone. The system adopts multi-scale feature point matching and self-adaptive weight registration, so that the data registration precision is improved by more than 30%, and the dependence of a traditional method on artificial experience is overcome; through feature fusion of multi-modal feature decoupling and attention guidance, and in combination with multi-scale spatial pyramid pooling and deformation sensitive segmentation, the system effectively identifies a fractured zone and evaluates and predicts uncertainty; the active learning module optimizes training data through Bayesian estimation and a hybrid sampling strategy, and the form optimization module finally outputs accurate broken zone distribution and attribute information by utilizing geological constraint and fault topology reasoning, so that the intelligent level and efficiency of earthquake disaster emergency monitoring are improved.

The invention provides an earthquake disaster loss pre-evaluation method and system based on field investigation. The method comprises the following steps: according to a sampling survey result of a working area, establishing a localized building vulnerability matrix taking a county as a unit, and classifying the localized building vulnerability matrix according to a building function, a building age, a floor number and a fortification grade; based on the spatial database, the multiple sets of set seismic parameters and the localized building vulnerability matrix, an earthquake disaster loss pre-evaluation result is obtained through a pre-evaluation model, and the earthquake disaster loss pre-evaluation result comprises the affected area under each set of set seismic parameters, the estimated number of casualties and the direct economic loss; and when the error between the earthquake disaster loss pre-evaluation result and the actual earthquake disaster loss is greater than a preset error threshold value, dynamically correcting the model parameters of the pre-evaluation model according to the sampling survey result. According to the technical scheme provided by the invention, the evaluation error is reduced, and the accuracy of pre-evaluation is improved.

The invention discloses a ground vertical shaft and underground horizontal well combined well spacing method which comprises the following steps: determining vertical shaft estimated fracturing information and horizontal well estimated fracturing information according to acquired fracturing construction information of surrounding mines; the width of the to-be-mined working face and the lateral mining-induced fracture range of the mined working face are obtained, vertical shaft construction information is determined according to the width of the to-be-mined working face, the lateral mining-induced fracture range and the vertical shaft estimated fracturing information, fracturing construction is conducted on the thick and hard roof based on the vertical shaft construction information, and the vertical shaft fracturing range is obtained; horizontal well construction information is determined according to the horizontal well estimated fracturing information and the vertical well fracturing range, and fracturing construction is conducted on the impact main control rock stratum based on the horizontal well construction information; the plurality of ground vertical shafts are divided into at least two vertical shaft groups which are arranged at intervals along the inclined direction of a to-be-mined working face; according to the combined well spacing method provided by the embodiment of the invention, all-directional fracturing pressure relief can be carried out on the thick and hard top plate of the super-long working face, and cooperative prevention and control on rock burst and mine earthquake disasters are realized.

The invention provides a structure vulnerability analysis method and system based on earthquake magnitude, distance and site conditions, a storage medium and a computer program product. The method comprises the following steps: adopting a preset sampling algorithm to obtain preset earthquake magnitude, distance and site conditions, and acceleration time history samples corresponding to the preset earthquake magnitude, distance and site conditions; based on the acceleration time-history sample, performing nonlinear dynamic time-history analysis on a to-be-evaluated structure by using a finite element analysis method to obtain nonlinear structure seismic response corresponding to the to-be-evaluated structure and the acceleration time-history sample; establishing a change relationship between the statistical parameters of the seismic response of the nonlinear structure and the preset magnitude, distance and site conditions by using a regression fitting method; and constructing a vulnerability curved surface of a to-be-evaluated structure based on the preset earthquake magnitude, distance and site conditions based on the statistical parameters of the seismic response of the nonlinear structure and the change relationship between the preset earthquake magnitude, distance and site conditions. According to the embodiment of the invention, the four elements of a seismic source, a propagation path, a site and a structure can be completely coupled, and the method can be suitable for earthquake disaster risk analysis and rapid evaluation of post-earthquake disasters under various medium-short period structure systems.

The invention discloses a post-disaster recovery large-scale city power grid toughness evaluation method, device and medium, and the method comprises the steps: constructing a large-scale city power grid fault scene and a power transmission line time-varying fault probability model under an earthquake disaster, generating an earthquake-fault combined scene based on Monte Carlo simulation, and selecting k high-risk typical scenes, and then, by taking the maximum weighted load recovery total amount in the system full recovery period as a core optimization target, constructing a power grid post-disaster collaborative recovery model, constructing a multi-dimensional dynamic toughness index system based on the grid robustness, the system self-healing capability and the post-disaster first-aid repair capability, and evaluating the large-scale urban power grid toughness level of power grid post-disaster collaborative recovery. And outputting a good and bad sequence of the optimization strategy. By evaluating the toughness level of the large-scale urban power grid subjected to post-disaster collaborative recovery of the power grid, the performance of the whole recovery process can be comprehensively quantified, the advantages and disadvantages of strategies can be effectively distinguished, and the recovery speed and the recovery degree can be accurately quantified, so that an effective recovery strategy cannot be adopted, and a reliable basis is provided for disaster prevention and emergency of the power grid.

According to the urban earthquake disaster situation risk degree and loss big data evaluation platform, modeling is carried out from three aspects of earthquake disaster-inducing factor dangerousness, disaster-bearing body vulnerability and urban earthquake disaster situation response capability, and a big data analysis method based on multi-index decision is adopted to evaluate the earthquake risk degree of an earthquake-prone city. A GIS technology is integrated and combined with an earthquake damage loss matrix evaluation method based on historical big data, an earthquake disaster situation loss evaluation system is established, and the earthquake disaster situation loss condition in a region is evaluated and calculated. Before an earthquake occurs, the risk degree or probability that the region may suffer from the earthquake is analyzed and predicted, the government is helped to scientifically and effectively carry out urban development planning and disaster prevention and reduction decision making, the regional disaster prevention capability construction is improved, and the earthquake disaster situation loss is reduced; after an earthquake occurs, the emergency rescue and response capability is improved, the distribution and scheduling of disaster relief materials are facilitated, and the method has practical significance and effect on regional earthquake risk degree and loss assessment.

The invention provides a stratified rock mass cavern group earthquake safety toughness evaluation method and system, and the method comprises the steps: obtaining a geological parameter set and an earthquake motion parameter set based on geological exploration data and numerical simulation data; constructing a three-dimensional geological structure model according to the geological parameters, and generating a seismic oscillation input time history curve; inputting the seismic oscillation input time history curve into the model, and obtaining a seismic dynamic response data set through a dynamic response calculation algorithm; calculating a safety state index of each cavern in combination with a safety threshold judgment rule; and on the basis of the safety state indexes, generating an overall earthquake safety toughness evaluation result through an earthquake toughness quantitative model. According to the method, the earthquake safety toughness of the stratified rock mass cavern group can be accurately evaluated, a scientific basis is provided for aseismic design and safety evaluation of the cavern group, and the earthquake disaster risk is effectively reduced.

The invention relates to the technical field of power system operation and control, in particular to a power system recovery capability evaluation method, device and equipment considering unconventional risks and a medium, and the method comprises the steps: determining parameters for calculating the occurrence probability of earthquake disasters of different earthquake magnitudes; calculating intensity distribution by using an earthquake intensity diffusion model; calculating transmission tower and transmission line fault probabilities to obtain a fault line set; according to the operation power flow and the maximum allowable power flow, the cascading failure situation is divided into high risk and low risk; aiming at the two conditions, respectively enumerating a first-order fault state set and a second-order fault state set to obtain a system recovery capability initial value; the value serves as input, a convergence threshold value is set, a ULBI-IISE algorithm is adopted for iterative calculation, when the difference value of the upper cut set and the lower complementary set is smaller than the threshold value, the recovery capacity and the interval are output, and the method reduces high-order fault complete enumeration and the calculation amount while guaranteeing the precision, and is suitable for rapid evaluation of emergency scenes such as earthquakes.

The invention provides a broadcast ephemeris-based high-frequency GNSS PGV (Global Navigation Satellite System) surface wave magnitude fast reporting method and equipment, which support the realization of high-frequency GNSS surface wave magnitude fast reporting by only using real-time available broadcast ephemeris and high-frequency GNSS observation data, and a receiver of a high-frequency GNSS observation station acquires the high-frequency GNSS observation data and the broadcast ephemeris in real time and sends the high-frequency GNSS observation data and the broadcast ephemeris to a ground computing center; the ground calculation center calculates the speed of the station in real time according to the observation data and the broadcast ephemeris, and judges earthquake triggering according to a continuous four-epoch judgment criterion; if the station triggers the earthquake, calculating the magnitude of the PGV surface wave; and when at least three stations trigger an earthquake, calculating a weighted average value based on the PGV surface wave magnitude of each station, and sending the weighted average value to an earthquake early warning center. According to the scheme, earthquake triggering is judged according to the continuous four-epoch judgment criterion, the engineering application performance of the PGV surface wave magnitude method is improved, and accurate earthquake magnitude information is provided for large earthquake early warning, rapid post-earthquake disaster assessment, emergency response and the like.

The invention discloses an emergency rescue path planning method, system and device based on building earthquake damage simulation and a medium, and relates to the field of rescue path planning, and the method comprises the steps: building a building three-dimensional structure based on a two-dimensional plane graph of a building with an earthquake disaster; processing the three-dimensional structure of the building by adopting a physical engine to obtain a building damage and pavement accumulation result under an earthquake; performing indoor and outdoor integrated road network extraction on building damage and pavement accumulation results under an earthquake by adopting a navigation grid method to obtain a road network extraction result; and performing path planning based on the road network extraction result by adopting an optimized A * algorithm to obtain an emergency rescue path planning result. According to the method, the requirements of evacuation safety, trafficability and traffic capacity constraint and strain can be met, and indoor and outdoor integrated path planning service is provided for search and rescue personnel so as to respond to the optimal rescue path requirement of emergency.

The invention discloses an equipment attitude automatic correction method and device and an optical terminal intensity instrument, the equipment attitude automatic correction method is applied to a preset monitoring terminal comprising a triaxial MEMS accelerometer and a magnetometer, and the method comprises the following steps: collecting acceleration and magnetometer data; calculating acceleration stable three-axis offset; calculating roll and pitch angles and determining a horizontal plane; positioning magnetic north and calculating a magnetic north azimuth angle; calculating a magnetic declination angle and a yaw angle by combining longitude and latitude; generating a rotation matrix and converting a coordinate system; judging angle change and updating the matrix; and completing calibration and attitude stabilization. According to the technical scheme provided by the invention, the monitoring terminal equipment can be ensured to automatically and accurately adjust and stably maintain the attitude after being installed, so that the effective operation of the earthquake monitoring and early warning system is ensured, and the earthquake disaster prevention and flooding earthquake (vibration) monitoring performance is improved.

The invention relates to the technical field of large language models, in particular to a large language model anti-seismic report examination method and device based on domain knowledge enhancement, and provides a large language model anti-seismic report examination method based on domain knowledge enhancement. The method comprises the steps that firstly, a building earthquake-proof professional field large language model is trained, then data preprocessing is conducted on an earthquake-proof examination report, and finally examination is conducted on the basis of the trained building earthquake-proof professional field large language model, so that accumulated earthquake-proof special examination experience and the large language model are fused, and a professional LLM of the vertical field is built; strict examination can be carried out according to standards and files, interference of human errors and subjective factors is effectively avoided, accuracy and reliability of examination results are improved, examination efficiency is improved, a more scientific and accurate basis is provided for expert examination and internal pre-examination, the earthquake resistance and disaster prevention capacity of a construction project is further improved, and the earthquake disaster risk is reduced.

The invention provides a federated learning and privacy calculation-based cross-border earthquake risk assessment method, which solves the fundamental contradiction between data sovereignty and privacy security in cross-border data sharing by constructing a federated learning architecture fusing hierarchical desensitization and hybrid encryption. Through the multi-source data cooperative training and CNN-LSTM mixed disaster chain model, the problem that the assessment precision is insufficient due to the fact that a single country model cannot describe a complex cross-border disaster chain is solved; finally, a cross-border disaster scene is constructed, and the defect that a static evaluation tool is disjointed with an actual combat is overcome through a multi-agent dynamic policy simulation system; according to the method, the security collaboration under the condition that the data is not out of the scene is realized, the multi-country collaboration participation rate is improved by 60%, the risk assessment accuracy rate is improved to 92% or above, the policy assessment period is shortened from several months to several hours, a quantifiable scientific basis is provided for cross-border emergency decision making, and the joint prevention and joint control capability of regional earthquake disasters is effectively improved.

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 provides a mine earthquake master control horizon determination method, which comprises the following steps of: establishing a mine area stratum model, and determining a plurality of key layers which are positioned above a fissure zone in the mine area stratum model and have mine earthquake risks as mine earthquake control layers according to a key layer theory; main control layer analysis is carried out on all the mine earthquake control layers, a step-by-step determination and governance analysis principle is formulated for the mine earthquake control layers, and multi-stage mine earthquake main control layers are determined from all the mine earthquake control layers; and performing logging correction analysis, and dynamically correcting the position of the target rock stratum of the multi-stage mine earthquake main control layer. According to the method, different mine earthquake disaster-causing conditions are analyzed, mine earthquake main control layers under the scene that mine earthquakes generate disaster-causing influence on the ground and under the scene that mine earthquakes generate disaster-causing influence on an underground mining working face are respectively determined, and the target rock layer position of the mine earthquake main control layers is dynamically corrected through logging analysis; and it is guaranteed that the target layer of the mine earthquake main control layer can be subjected to construction treatment.

The invention discloses an earthquake numerical value prediction method based on kernel density and machine learning, and belongs to the technical field of earthquake prediction. The method comprises the steps of performing magnitude standardization and energy association processing on original seismic directory data to form standard seismic directory data, performing completeness processing on the standard seismic directory data to determine a minimum complete magnitude, and performing screening to obtain a complete seismic directory; determining a first bandwidth and a second bandwidth for the complete seismic directory through a nuclear density bandwidth sensitivity test, calculating seismic frequency and energy nuclear density distribution of the target area in combination with a time and magnitude sliding window, and obtaining nuclear density anomaly distribution data by making a difference between the seismic frequency and energy nuclear density distribution and long-term average nuclear density distribution; and inputting the kernel density abnormal distribution data of the target magnitude range under multiple time scales into a pre-trained random forest model, and outputting an occurrence prediction result of a target magnitude earthquake in the target region. According to the method, the spatial accuracy and timeliness of earthquake prediction are improved, and technical support is provided for earthquake disaster risk prevention and control.

This invention discloses an automatic attitude correction method, device, and optical terminal intensity meter for equipment. The automatic attitude correction method is applied to a pre-set monitoring terminal including a triaxial MEMS accelerometer and a magnetometer, and includes the following steps: acquiring acceleration and magnetometer data; calculating acceleration-stabilized triaxial offset; calculating roll and pitch angles and determining the horizontal plane; locating magnetic north and calculating the magnetic north azimuth; calculating magnetic declination and yaw angle using latitude and longitude; generating a rotation matrix and performing coordinate system transformation; judging angle changes and updating the matrix; and completing calibration and attitude stabilization. The technical solution provided by this invention ensures that the monitoring terminal equipment can automatically and accurately adjust and maintain its attitude after installation, thereby guaranteeing the effective operation of the earthquake monitoring and early warning system and improving earthquake disaster prevention and seismic monitoring capabilities.

The invention provides an engineering machinery man-machine cooperative scheduling system and method applied to an earthquake disaster site, and relates to the technical field of man-machine cooperative scheduling, and the system comprises a site environment information obtaining module which is used for obtaining the site environment information of the earthquake disaster site; the rasterization processing module is used for performing area rasterization processing to generate a disaster area grid map; the task execution list generation module is used for performing task allocation evaluation, generating a rescue task execution list and extracting a primary task and a secondary task; the path planning module is used for performing path planning and generating a first rescue path and a second rescue path; and the collaborative rescue scheduling module is used for carrying out collaborative rescue scheduling on earthquake disasters. The technical problems that in the prior art, due to the fact that an effective man-machine cooperative scheduling mechanism is lacked, the collaboration between rescue workers and engineering machinery is poor, rescue resources are wasted, and the rescue efficiency is low are solved.

The invention discloses a post-earthquake disaster sensing emergency path planning method based on reinforcement learning, and the method employs the real disaster information provided by a high-resolution remote sensing image, combines the reinforcement learning theory, models the remote sensing image interpretation information into a reinforcement learning environment, enables a disaster sensing agent to carry out the continuous trial and error interaction with the environment, and achieves the emergency path planning of the post-earthquake disaster sensing. Learning an optimal post-earthquake emergency path planning strategy; according to the method, the problem that rich remote sensing data cannot be fully utilized in an existing post-earthquake emergency path planning method and the problem that disaster situations are not fully considered in the path planning process can be solved, in addition, the proposed post-earthquake emergency response framework is beneficial to optimizing rescue resource allocation, and the rescue efficiency is improved; according to the method, the path covering more disaster centers can be effectively planned in the middle and short distance scene, the rescue efficiency is maximized, and casualties and economic losses caused by earthquake disasters are greatly reduced.

The invention discloses a multi-parameter fusion disaster reduction platform system based on earthquake and strong vibration monitoring, and the system comprises a data collection module which collects multi-source earthquake monitoring data; the data preprocessing module is used for denoising, standardizing and synchronizing the seismic waveform data; the time synchronization and space standardization module is used for ensuring time synchronization and coordinate standardization of the seismic waveform data; the local time window division module divides the waveform data into a fragment set; the dynamic time warping algorithm module is used for executing data alignment and ensuring accurate alignment of waveform fragments; the waveform feature extraction module is used for extracting waveform features; the abnormity detection module is used for identifying and marking an abnormal fluctuation mode; and the propagation path speculation module speculates the epicentral position and the propagation path according to the mark set. According to the method, accurate synchronization and alignment of multi-source earthquake monitoring data are realized, the epicenter position speculation accuracy is improved, and the method is widely applied to earthquake disaster early warning and decision support.

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.