226 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 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 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 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 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 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 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.

The invention relates to the technical field of coal mining, in particular to a hard roof extra-thick impact coal seam risk evaluation method. Comprises: identifying a target layer; carrying out regional division on the hard roof; defining a linear equation for obtaining a stress component, and providing a basis for solving the linear equation of the main stress and the maximum shear stress; using a boundary linear equation to define the deflection and the corner at the node; defining a linear equation of the principal stress and the maximum shear stress when the medium-thickness plate is possibly subjected to shear or tensile failure; displaying an elastic energy density distribution rule on a plane; by comparing the elastic energy density of the hard roof under different rock stratum strengths, the danger of the hard roof extra-thick impact coal seam is quantitatively analyzed and evaluated. According to the method, the target layer is sequentially recognized, the model is constructed, the initial fracture energy accumulation and dispersion rule of the hard roof of the extra-thick coal seam in the coal mining process is obtained, finally, the initial fracture energy accumulation and dispersion rule is compared with the maximum approximate disaster energy for judgment, risk evaluation and early prediction are conducted for prevention and control, and mine earthquake disasters are controlled from the source.

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.