268 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 provides an emergency broadcast intelligent triggering system based on multi-source seismic data fusion, and relates to the technical field of seismic monitoring and early warning, and the system comprises a data receiving module which is used for receiving multi-source seismic early warning information in real time, including seismic source parameter data, strong vibration observation data and real-time early warning parameters, and transmitting the multi-source seismic early warning information through a built-in communication protocol; and outputting the standardized multi-source seismic data. And the localization calculation module is used for carrying out real-time analysis on the standardized multi-source seismic data, extracting a P-wave initial parameter, a seismic motion acceleration predicted value and a seismic source fracture feature, carrying out dynamic calibration on an analysis result by combining actual measurement data of a built-in intensity meter, and outputting a multi-dimensional seismic data stream verified by the intensity meter. Through multi-source earthquake data fusion, real-time analysis and calibration, dynamic risk modeling and intelligent broadcast scheduling, generation and efficient propagation of earthquake early warning information are realized, emergency response timeliness and pertinence are improved, and earthquake disaster risks are reduced.

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 application relates to a dynamic visualization method and device for earthquake disasters. The method comprises: acquiring initial point cloud data of buildings and scenes in a target area; acquiring shake displacement data varying with time of the buildings by simulating an earthquake excitation on the buildings and the scenes; performing voxel downsampling and point cloud segmentation and extraction on the initial point cloud data to determine a ground point cloud and a point cloud of each building; updating in real time coordinates of each point of the point cloud of each building according to the shake displacement data; and rendering in real time the ground point cloud and the coordinates of each point of the point cloud of each building to generate a dynamic visual image for displaying. Accordingly, seismic scenes of regional buildings are presented more truly and visually, thus improving the visualization effect.

The invention discloses a regional traffic network dynamic risk assessment method under sudden earthquake influence, which belongs to the technical field of earthquake disaster assessment and comprises the steps of collecting data and preprocessing, constructing a traffic network model, constructing an earthquake vulnerability model and constructing a risk dynamic assessment system. According to the method, seismic parameters, social economy, a regional traffic network and real-time detection data after an earthquake are comprehensively considered when the earthquake occurs, the risk of the regional traffic network under the earthquake can be evaluated more comprehensively, a Monte Carlo simulation method is applied, an earthquake vulnerability model is combined, a damage scene of the earthquake to the traffic network is simulated, and the risk of the regional traffic network under the earthquake can be evaluated more comprehensively. Evaluating the damage probability and the function loss of the traffic facilities; calculating the connectivity of the traffic network model, and dynamically calculating the performance change of the traffic network after the earthquake based on the connectivity index and weight of the traffic network; and evaluating the toughness of the traffic network according to a network performance recovery curve under the recovery strategy, so that the performance change of the traffic network in the earthquake can be dynamically reflected in real time.

The invention provides an earthquake disaster prediction method based on iron tower monitoring data, and relates to the technical field of disaster prediction, and the method comprises the steps: obtaining a monitoring data set, extracting an earthquake region, extracting earthquake time node data, constructing an earthquake iron tower reference set, carrying out the model training, obtaining an earthquake disaster prediction model, and obtaining a data prediction structure. And carrying out data standardization processing on the iron tower monitoring data, inputting a processing result into the earthquake disaster prediction model to obtain a prediction result, and finally carrying out disaster relief strategy guidance feedback. The method mainly solves the problems that the occurrence time, place and magnitude of an earthquake cannot be accurately predicted, the prediction time range is short, and the long-term prediction requirement cannot be met. Through earthquake monitoring on the iron tower, potential safety hazards can be found and solved in time, earthquake disasters can be dealt with better, and casualties and economic losses are reduced.

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 provides a post-earthquake emergency material distribution optimization method considering distribution fairness and demand urgency, and relates to the technical field of emergency logistics multi-target distribution optimization under the background of urban earthquake disasters, and the method comprises the following specific steps: S1, determining a basic hypothesis: considering the actual scene of disaster rescue operation, and making the basic hypothesis for the emergency material distribution problem; s2, establishing an emergency material distribution fairness model; s3, establishing a disaster point emergency material demand emergency degree evaluation index system; s4, establishing a multi-target path optimization model; and S5, solving the established multi-target model by using an improved mixed multivariate universe optimization algorithm. The mixed multivariate universe algorithm based on differential evolution is provided, higher convergence precision and better robustness and uniformity are achieved, the earthquake disaster emergency logistics distribution path optimization accuracy is improved, material demand urgency meeting and distribution fairness are guaranteed, the distribution cost is reduced, and the distribution efficiency is improved. And the disaster victim satisfaction degree and the demand emergency adaptation degree 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 relates to the technical field of ad hoc network transmission management, and discloses a wireless ad hoc network transmission management method for earthquake early warning information, which comprises the following steps: S101, generating a comprehensive failure risk prediction value through a multi-source data fusion algorithm according to earthquake wave data, geologic structure data, historical earthquake data and meteorological data; s102, constructing a hierarchical failure probability model based on the comprehensive failure risk prediction value, and generating a node failure risk probability graph; the weight of each layer is distributed according to the earthquake stage; s103, constructing a network topology, calculating the survival time of network nodes, calculating the weighted comprehensive failure probability of each network node, and dynamically updating the network topology; and S104, according to the weighted comprehensive failure probability and the survival time of each network node, fusing to obtain a node stable utilization characteristic, and further executing staged resource scheduling. According to the invention, accurate prediction and staged resource scheduling of the network node failure risk in the whole earthquake disaster process are realized.

The invention discloses a portable simulated earthquake demonstration device, which comprises a simulated motion device, an information acquisition device and a control device, and is characterized in that the simulated motion device is used for simulating earthquake motion, the information acquisition device is arranged on the side of the simulated motion device, and the information acquisition device acquires information of the simulated motion device and controls the simulated motion device to move. The information acquisition device acquires information and transmits the information to the control device, the control device receives the information from the information acquisition device, processes the information, transmits the processed information to the simulation motion device and controls the simulation motion device to move, and the simulation motion device, the information acquisition device and the control device are connected through a connecting assembly. The earthquake simulation demonstration device and the control device are carried in a split mode, the problem that an existing demonstration device cannot simulate the vibration effect of acceleration of different frequencies in an actual earthquake is solved through built-in different types of earthquake waves, the earthquake simulation demonstration device can serve as an earthquake disaster demonstration device or an earthquake prevention and vibration reduction product demonstration device, and the earthquake simulation demonstration device is convenient to use. And beneficial help is provided for disaster prevention and reduction and earthquake-resistant teaching and display.

The invention provides an underground mine earthquake intensity evaluation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring a mine earthquake area, and planning a mine earthquake damage macroscopic survey path of the mine earthquake area; determining survey points in the mine earthquake damage macroscopic survey path according to a set interval, and obtaining mine earthquake damage degree macroscopic description data related to the survey points; and determining the mine earthquake intensity corresponding to the survey point according to the mine earthquake damage degree macroscopic description data. Therefore, according to the scheme, the mine earthquake damage degree macroscopic description data is obtained, and the mine earthquake intensity corresponding to the survey point is determined according to the mine earthquake damage degree macroscopic description data, so that the influence degree of the caused mine earthquake on the safety of the roadway structure in the coal mining activity can be more accurately and effectively evaluated, the mine earthquake disaster can be quickly evaluated, and the safety of the roadway structure is improved. And reference data is provided for emergency response of mine earthquake disasters.

The invention provides an earthquake disaster loss dynamic assessment method and system based on multi-source disaster situation data, and relates to the technical field of data processing, and the method comprises the steps: obtaining a multi-source original data set; the information data set is cleaned, redundant information is removed, time labels are extracted, and all the time labels are unified to coordinate time; performing data screening on the traffic data set, removing abnormal flow values, and extracting effective traffic flow information; performing space coordinate conversion on the image data set, and aligning image coordinates with a disaster area geographic coordinate system; calculating the traffic passage index of each region, calculating the building damage rate and the road passage rate in the region, analyzing the passage condition and the resource arrival difficulty of each region, and combining the personnel distribution and the important facility position in the information data set; marking different loss levels for each area of the disaster area, and generating a dynamic evaluation report; the method has a good dynamic evaluation effect.

The invention relates to a mine earthquake disaster risk assessment method and system based on deep learning. The method comprises the steps of collecting mine geology and mining data, extracting features by using a deep learning model, evaluating key layer fracture and mine earthquake intensity, analyzing the influence of mine earthquake on the earth surface and underground, evaluating the critical intensity of coal rock burst, and generating a risk grade and early warning information. The system is composed of a data acquisition module, a data processing module, a deep learning model, a risk assessment module and an early warning module. The method and the system can effectively evaluate the mine earthquake disaster risk, and provide a scientific basis for mine safety management.

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 dynamic polarization window seismic waveform separation method based on a time-frequency ridge line, which utilizes a time-frequency ridge line analysis technology and combines a dynamic polarization window calculation method to accurately calculate the polarization characteristic of a seismic signal. According to the method, the polarization information in the seismic wave propagation process is captured by analyzing the dynamic change of the seismic wave in the time-frequency domain, so that the seismic phase is distinguished, and the purpose of waveform separation is achieved. And more accurate data support and analysis means are provided for the application fields of seismic exploration, seismic early warning, seismic disaster assessment and the like.

The invention relates to the technical field of earthquake disaster emergency rescue, in particular to a method for transferring wounded persons in a post-earthquake air-ground collaborative transportation mode by considering road damage degrees, which comprises the following steps of: dividing the wounded persons into light wounded persons, heavy wounded persons and severe wounded persons, and respectively setting transferring important coefficients for the severe wounded persons and the heavy wounded persons; a mathematical model is constructed by adopting a multi-objective planning method, and the total objectives of shortest total transfer time and highest safety coefficient of a road on which the ambulance travels are achieved by combining wounded classification, transportation tool selection, transfer important coefficients and road damage rate. According to the method, the wounded personnel are scientifically classified and different transfer coefficients are set through the severity score of the injury condition, and the target function with the shortest total transfer time and the maximum vehicle driving road safety is constructed in combination with the limitation of the road damage condition on the transportation tool, so that the transfer efficiency and the treatment effect of the wounded personnel after the earthquake are greatly improved; and the wounded can be ensured to obtain timely and effective medical assistance within golden rescue time.

The invention provides an optical fiber natural disaster early warning method based on machine learning and related equipment. The method comprises the following steps: acquiring real-time optical fiber vibration data of an optical fiber pipeline deployed in a target area; performing classification processing on the real-time optical fiber vibration data based on a pre-trained target classification model to obtain seismic information in the real-time optical fiber vibration data; wherein the target classification model is obtained through training based on historical optical fiber vibration data and historical earthquake event data; and carrying out natural disaster early warning based on the earthquake information. According to the optical fiber natural disaster early warning method based on machine learning and the related equipment, the earthquake information existing in the optical fiber vibration data can be identified, then natural disaster early warning is carried out based on the earthquake information, an efficient and accurate earthquake monitoring and early warning system is established, an earthquake event can be early warned in time, and the early warning efficiency is improved. And loss caused by earthquake disasters is reduced.

The invention relates to the technical field of earthquake resistance of corridor supports, and discloses a variable-rigidity high-altitude corridor support which comprises a first mounting steel plate, a second mounting steel plate and a third mounting steel plate. Locking pieces connected with the third mounting steel plate are arranged at the four corners of the first shock insulation support, the four corners of the second shock insulation support and the four corners of the second mounting steel plate in a penetrating mode, and shearing grooves are formed in the locking pieces; the first shock insulation support and the second shock insulation support are both used for conducting shock absorption on the high-altitude corridor support so that variable stiffness control over the high-altitude corridor support can be achieved. According to the invention, a set of multi-level rigidity-variable seismic isolation support is constructed, and based on a unique mechanical response mechanism of a multi-level seismic isolation system, when the seismic action intensity is in an increasing trend, the interaction force between the high-altitude corridor and the towers on the two sides is in a decreasing situation, and the seismic isolation effect is improved. Due to the characteristic, the anti-seismic toughness and stability of the whole structure in earthquake disasters are remarkably improved, and reliable guarantee is provided for the safety performance of a high-rise building structure in a complex earthquake environment.

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 early warning and rapid reporting Internet of Things system, method and device and a storage medium. The system comprises an earthquake information acquisition module, a cloud server and an early warning information issuing module. The earthquake information acquisition module is used for acquiring earthquake monitoring physical quantities, generating earthquake monitoring data according to the earthquake monitoring physical quantities and sending the earthquake monitoring data to the cloud server; the cloud server is used for estimating an earthquake grade and an earthquake source position when an earthquake event is identified according to the earthquake monitoring data; and the early warning information issuing module is used for determining a to-be-early-warned area according to the earthquake grade and the earthquake source position, and sending earthquake early warning information to a broadcasting system, mobile equipment and an outdoor alarm system in the to-be-early-warned area at the same time. By adopting the technical scheme, the earthquake can be quickly and accurately detected, and the earthquake early warning information can be quickly and accurately spread, so that the influence of earthquake disasters is reduced.

The invention relates to the technical field of disaster prevention and reduction, and discloses a mountain area earthquake hidden danger prediction method and system based on an unmanned aerial vehicle and deep learning, and the method comprises the steps: carrying out the image collection and data recording of a to-be-predicted mountain area through employing the unmanned aerial vehicle, obtaining the image data of the to-be-predicted mountain area, and constructing a three-dimensional to-be-predicted terrain model according to the image data; extracting terrain information of a to-be-predicted mountainous area from the three-dimensional to-be-predicted terrain model, collecting geological information of the to-be-predicted mountainous area, and performing fundamental frequency prediction on the to-be-predicted mountainous area to obtain mountainous area fundamental frequency information; and performing seismic oscillation amplification effect prediction on the to-be-predicted mountain area according to the mountain area fundamental frequency information, the geological information and the topographic information, obtaining a seismic oscillation amplification coefficient envelope value of each feature point in the to-be-predicted mountain area under the action of seismic waves, performing earthquake hidden danger grade classification, and drawing an earthquake hidden danger distribution diagram of the to-be-predicted mountain area. According to the invention, the problem that the pre-earthquake mountain earthquake disaster hidden danger is difficult to find is solved, and more effective reference is provided for prevention and treatment of mountain earthquake disasters.

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 belongs to the technical field of earthquake monitoring, and provides an earthquake geophysical data anomaly detection and early warning method based on big data analysis, which comprises the following steps: S1, acquiring earthquake geophysical observation data; s2, carrying out cleaning, integration and normalization processing on the collected data; s3, extracting characteristic parameters related to interference and abnormity from the preprocessed data; s4, performing anomaly detection on the extracted feature parameters by using a big data analysis technology; according to the method, various seismic geophysical data such as seismic wave data, geological structure data and underground fluid dynamics are collected, systematic cleaning, integration, normalization processing and feature extraction are carried out, anomaly detection is carried out by using a big data analysis technology, and anomaly early warning information is generated in combination with a pre-established anomaly early warning model. Accuracy and timeliness of earthquake monitoring are effectively improved, and powerful technical support is provided for prevention and response of earthquake disasters.

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.