161 results about "Earthquake intensity" patented technology

The invention discloses an earthquake monitoring linkage triggering device, and the device comprises an earthquake intensity instrument which is used for collecting an earthquake signal and outputting earthquake intensity; the sensor is used for collecting seismic activity data; the data acquisition host is used for processing the seismic intensity and the seismic activity data and transmitting the seismic intensity and the seismic activity data to the upper computer; and the upper computer is used for receiving, analyzing and displaying the seismic data. According to the invention, high-performance modular hardware is utilized, efficient and flexible software is combined to complete various testing work, signals of acquisition equipment are displayed and stored through the upper computer, seismic wave acquisition information is fused, data analysis and judgment are carried out, and earthquake monitoring can be comprehensively and automatically realized.

The invention discloses a rapid assessment method and system for shock resistance toughness of main and aftershocks based on a cycle-Transform network, and the method comprises the steps: building a finite element model of a building structure, inputting a plurality of groups of earthquake accelerations of main and aftershocks into the model, and obtaining a database comprising a plurality of groups of accelerations and corresponding structure displacement responses; building a loop-Transform neural network, and carrying out the training and optimization of the loop-Transform neural network; inputting the main shock and aftershock sequence into the optimized cycle-Transform neural network, predicting the displacement response of the structure under the double amplitude modulation main shock and aftershock sequence, then obtaining the building damage probability corresponding to different earthquake intensities under the main shock and aftershock situation by using maximum likelihood estimation, evaluating the corresponding damage index, calculating the recovery time, and finally obtaining the building damage probability corresponding to the different earthquake intensities under the main shock and aftershock situation. A function recovery curve of the structure is predicted, and shock resistance toughness evaluation is completed. According to the method, the precision of structure accumulated damage prediction under the aftershock effect is improved, and the calculation complexity and time consumption of toughness evaluation under the main and aftershock earthquake scene are remarkably reduced.

The invention discloses an optical terminal intensity instrument and an earthquake monitoring service system and method, and the optical terminal intensity instrument comprises an optical fiber modem and an MEMS sensor module. The optical fiber modem comprises an MCU (Microprogrammed Control Unit) and an optical communication module electrically connected with the MCU; the optical communication module is used for realizing network access and data uploading; the MEMS sensor module is electrically connected with the MCU; the MEMS sensor module is used for collecting seismic intensity data in real time; and the optical fiber modem is used for providing a dual data transmission channel comprising broadband communication and the seismic intensity data. According to the technical scheme provided by the invention, the MEMS sensor is embedded in the optical fiber modem, and a more dense, more efficient and more economical solution is provided for earthquake early warning and intensity rapid reporting.

The invention belongs to the technical field of mine safety and engineering earthquake monitoring, and particularly relates to a mine earthquake earth surface vibration intensity prediction method and system based on an improved sine and cosine algorithm, and the method comprises the steps: firstly constructing a mine earthquake intensity prediction model containing geometric attenuation, inelastic attenuation and an earthquake source energy item, and then constructing a target function based on measured data, and optimizing model parameters by adopting an improved sine and cosine algorithm. The algorithm improvement comprises the following steps: adaptively adjusting a search step size through a dynamic amplitude exponential decay strategy, and balancing global exploration and local development capabilities; and a periodic random restart mechanism is introduced, and the position of the individual with the worst fitness is reset to avoid premature convergence. Through the combination of the physical model and the intelligent optimization algorithm, the problems of fixed function form and low parameter optimization efficiency of the traditional empirical model are solved, and high-precision prediction of the mining induced earthquake surface vibration intensity is realized.

The invention relates to an earthquake intensity field disaster situation acquisition system, and discloses an earthquake intensity field disaster situation acquisition system, which comprises the following modules: an unmanned aerial vehicle hardware platform, a disaster situation data acquisition module, an intelligent disaster situation analysis module, a disaster situation prediction and decision support module and a disaster situation return and dynamic response module. The unmanned aerial vehicle carries a high-definition camera, a thermal imager, a laser radar sensor and a meteorological sensor, collects image data, thermal imaging data, three-dimensional point cloud data and meteorological data of a disaster area in real time, and carries out disaster identification and evaluation through a deep convolutional neural network. In combination with multi-sensor data, the system can automatically identify disaster information such as building damage degree, fire areas, casualties and the like, intelligently optimizes resource allocation according to disaster assessment results, and ensures that rescue resources can be timely and accurately allocated to most required places of disaster areas.

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 earthquake early warning method, device and equipment applied to a building and a storage medium, and relates to the technical field of building safety and earthquake monitoring, and the health state level of a target building is determined according to a monitoring instrument installed on the target building; after an earthquake occurs, calculating and predicting the earthquake intensity according to the magnitude and the epicentral distance; and determining an earthquake early warning level according to the predicted earthquake intensity, the earthquake fortification intensity of the target building and the health state level of the target building, and sending corresponding early warning information according to the earthquake early warning level. According to the embodiment of the invention, the degree of damage possibly caused to the target building by the earthquake can be evaluated by combining the health state grade of the target building, the predicted earthquake intensity and the earthquake fortification intensity, so that the early warning grade is determined, the corresponding early warning information is sent out, and the applicability of the imminent earthquake early warning information is improved.

The invention provides a method and a device for evaluating mine earthquake intensity of a coal mine tunnel, and relates to the technical field of coal mine safety. The method comprises the following steps: acquiring mine seismic waveform data of a coal mine tunnel area; and determining the mine earthquake intensity of the coal mine tunnel area according to the peak particle velocity PPV value of the mine earthquake waveform data and a predetermined mapping relation between the PPV value and the mine earthquake intensity. The mapping relation between the PPV value and the mine earthquake intensity is determined by performing numerical simulation on various mine earthquake waveform sample data and a numerical model. The mine earthquake intensity can be accurately predicted according to the mine earthquake waveform data, and the obtained mine earthquake intensity can accurately reflect the influence and damage of the mine earthquake waveform data on the roadway, so that a worker can evaluate potential threats of the roadway structure, the effectiveness of mine safety management is remarkably improved, and the safety of the mine is improved. Therefore, economic losses caused by mine earthquakes are effectively controlled and reduced.

The invention relates to the technical field of seismic records, in particular to a near-source strong seismic record selection method and system considering a sliding impact effect, and the method comprises the following steps: introducing permanent displacement as a condition parameter into seismic oscillation selection based on a generalized condition intensity index; a target permanent displacement amount is given by an extended probability fault displacement danger analysis method; in the target seismic intensity index set, spectrum displacement is used for replacing common spectrum acceleration to represent spectrum components of seismic oscillation; an empirical correlation coefficient suitable for permanent displacement type near-source strong earthquake records is further calculated and given, corresponding condition intensity index target distribution is constructed, and finally optimization is carried out from a near-source strong earthquake database to obtain a permanent displacement type near-source strong earthquake data set which is most consistent with the target condition distribution; according to the method, a reasonable input vibration selection method can be provided for seismic response analysis of a near-seismic-source engineering structure under the strong vibration-fault movement coupling effect.

The invention discloses an intelligent anti-seismic structure optimization design method and system for a high-rise building, and relates to the technical field of anti-seismic design of the high-rise building. A working condition database considering multidirectional seismic oscillation and soil-structure interaction is established in combination with seismic oscillation time history and site investigation parameters; constructing a structure model on the BIM platform, and importing frequency characteristics and load to generate a preliminary design; an inter-story displacement angle, a story acceleration, a plastic rotation angle and an energy dissipation ratio index are set in the model, an anti-seismic performance comprehensive function is constructed, constraints are set according to a standard limit value, the structure model is converted into an optimizable problem, and optimal design is achieved by iteratively calling a working condition database and automatically correcting key component parameters and damping arrangement. According to the method disclosed by the invention, the structural optimization design of the high-rise building under the multidirectional earthquake action is realized by establishing an earthquake working condition database and parameterizing structural modeling and performance function constraint.

The invention provides a railroad bridge intelligent seismic mitigation and isolation system, and relates to the technical field of railroad bridge engineering, the railroad bridge intelligent seismic mitigation and isolation system comprises a seismic mitigation support arranged on a bridge, the seismic mitigation support comprises a first seat body, a second seat body, a third seat body, a fourth seat body, a first limiting assembly and a second limiting assembly, the first seat body is slidably connected with the second seat body, and the second seat body is slidably connected with the third seat body; the fourth seat body is connected between the second seat body and the third seat body in a sliding mode, the first limiting assembly limits relative displacement of the first seat body and the second seat body, and the second limiting assembly limits relative displacement of the second seat body and the third seat body. The first limiting assembly and the second limiting assembly cut off and release the displacement constraint under different earthquake intensities, graded damping is achieved in combination with the multi-direction sliding structure, the displacement constraint can be released in a graded mode according to the earthquake intensities, and track structure safety and bridge main body structure protection are effectively balanced.

The invention relates to the technical field of rail bridge engineering, and particularly discloses a rail-bridge system residual traffic capacity assessment method, medium and equipment, and the assessment method comprises the steps: constructing a rail-bridge system seismic response model and a train-rail-bridge system coupling vibration model of a research object; constructing an earthquake-induced irregularity sample library; establishing a simplified calculation model of the shock-actuated irregularity equivalent coefficient; performing curved surface fitting to obtain a shock-induced composite unsmooth fitting curved surface; putting forward earthquake-induced irregularity thresholds in different driving performance index states, and establishing a linear mapping relation between the earthquake-induced irregularity thresholds and the driving speed; and establishing a mapping relationship among the seismic oscillation intensity, the structure natural vibration period and the post-earthquake driving speed limit value in different driving performance index states, and outputting a residual traffic capacity evaluation result according to the post-earthquake driving speed limit value. According to the method, the problem that in an existing method, the quantitative mapping relation between the current rail surface irregularity after the earthquake and the train operation performance is not clear is effectively solved.

The invention discloses a rail transit bridge shock resistance toughness grading evaluation standard construction method. The method comprises the following steps: determining post-earthquake function target requirements under different seismic levels; carrying out earthquake vulnerability and function vulnerability analysis, and determining structural damage levels and post-earthquake residual functions under different earthquake intensities; determining a component repairing procedure and a repairing path of the rail transit bridge system, calculating to obtain a repairing work amount and a component repairing period, and obtaining a repairing period of the rail transit bridge system; analyzing to obtain a passing function in the repairing process; drawing a stepped function recovery function and calculating to obtain a toughness index; calculating the number of effective influence days of different damage levels under different seismic intensities; and establishing a relationship between damage grades and effective influence days, determining an effective influence day range of different damage degree grades, and obtaining an anti-seismic toughness grading evaluation standard. According to the method, the number and calculation amount of bridge samples are reduced, the post-earthquake function recovery condition is accurately reflected, and the method is used for guiding earthquake fortification of the bridge.

The utility model discloses a large-diameter shield tunnel composite structure which comprises a prefabricated segmental lining, a prefabricated box culvert located at the bottom is arranged in the prefabricated segmental lining, the two side top faces of the prefabricated box culvert are both connected with locking foot longitudinal connection beams, and arch wall linings are arranged on the two locking foot longitudinal connection beams. A reinforced concrete internal structure which is closed in the circumferential direction and continuous in the longitudinal direction is formed on the inner side of the prefabricated segmental lining, so that the structural longitudinal rigidity, the overall stability and the waterproof effect of the large-diameter shield tunnel are effectively improved; the large-diameter shield tunnel structure can be widely applied to large-diameter shield tunnel engineering built in complex environments such as soft soil unfavorable geology, high water pressure, underwater riverbed erosion and deposition change and high seismic intensity, the overall rigidity, longitudinal stability and waterproof sealing performance of a large-diameter shield tunnel are effectively improved, and meanwhile the large-diameter shield tunnel structure has the advantages of being high in mechanization degree, good in integrity, controllable in construction quality and the like.

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 discloses a construction method of a shale gas exploitation area seismic oscillation parameter prediction model, and belongs to the technical field of seismic safety evaluation. Comprising the following steps of: by supplementing seismic line data such as existing destructive earthquakes and adopting a long and short axis seismic intensity joint attenuation relation model, performing regression to obtain an intensity attenuation relation of a moderate-intensity region; based on an NGA-West2 strong earthquake database, screening bedrock records of a free site of the reference area, and establishing an earthquake motion parameter prediction equation based on the hypo-central distance; then, converting the reference region prediction equation into a hypo-central distance prediction equation suitable for a moderately strong region through an intensity mapping method; and utilizing broadband speed records around the shale gas exploitation area, and adopting a step-by-step regression method to correct the magnitude item to obtain a corrected seismic oscillation prediction equation. According to the method, the adaptability of shallow source induced earthquakes is remarkably improved, the lower limit of the earthquake magnitude is expanded to 4.0, the regional characteristics are fully considered, and the method is suitable for earthquake safety evaluation of the southern Sichuan shale gas exploitation area.

The embodiment of the invention provides a CLA-based earthquake vulnerability model construction method and device, equipment and a medium, and the method comprises the steps: analyzing an earthquake intensity parameter in historical engineering dynamic response parameters and a corresponding engineering demand parameter, and determining a first relation between the two parameters; based on the historical engineering dynamic response parameters, probability anti-seismic demand analysis is carried out, and a second relation between the change values of the engineering demand parameters and the change values of the corresponding seismic intensity parameters is determined; and based on the first relationship and the second relationship, determining an earthquake vulnerability function corresponding to the engineering demand parameter as an earthquake vulnerability model. According to the invention, a scientific and rigorous gravity dam earthquake vulnerability model can be constructed.

The invention relates to a seismic intensity prediction method and device, a storage medium and electronic equipment. The method comprises the steps that seismic data of a target seismic region and state abnormal data of a communication base station are acquired, the seismic data comprise the magnitude, the influence area and the influence population density, and the state abnormal data comprise the base station power-off rate and the base station offline rate; inputting the seismic data and the state abnormal data of the target seismic region into a target prediction model, so that a plurality of target algorithms of the target prediction model perform intensity prediction on the target seismic region respectively, outputting respective prediction intensity values, and fusing all the prediction intensity values to obtain a target intensity value of the target seismic region; determining a target intensity level of the target earthquake region according to the target intensity value; and generating an earthquake intensity distribution diagram according to the target intensity value and the target intensity grade of the target earthquake region. According to the invention, the technical problem that the earthquake disaster assessment method has obvious insufficiency in timeliness and accuracy is solved.

The invention provides a seismic intensity field prediction method and system and electronic equipment, and the method comprises the steps: obtaining the seismic data of each station according to the triggering sequence of each station, determining the resultant acceleration sequence and the resultant speed sequence of each station according to the seismic data of each station, and obtaining the seismic intensity field of each station according to the resultant acceleration sequence and the resultant speed sequence. Determining a seismic oscillation energy characteristic parameter and a seismic oscillation amplitude characteristic parameter of each station according to the resultant acceleration sequence and the resultant speed sequence of each station, and determining a characteristic pattern sequence of the station network according to the seismic oscillation energy characteristic parameter and the seismic oscillation amplitude characteristic parameter of each station, and inputting the feature map sequence of the station network into a seismic intensity field prediction model, and performing prediction by the seismic intensity field prediction model to obtain a seismic intensity field prediction result. The seismic intensity field prediction accuracy is improved, and the prediction complexity is reduced.

The invention discloses a double-column type pier structure system with multistage anti-seismic protection and self-resetting functions, and belongs to the technical field of bridge engineering anti-seismic design and toughness improvement. The double-column type pier comprises two concrete filled steel tube section columns, a connecting beam is arranged between the two concrete filled steel tube section columns, and the connecting beam comprises a concrete cast-in-place connecting beam and a steel section prefabricated connecting beam. The steel section prefabricated coupling beam comprises embedded sections, the embedded sections on the two sides are rotationally connected, and the embedded sections are connected through a connecting plate with an energy dissipation structure and a steel strand to form an overall structure capable of dissipating energy and achieving self-resetting. Unbonded prestressed tendons and energy-consuming steel bars for self-resetting are arranged in the concrete-filled steel tube section column in a penetrating manner so as to adapt to deformation of a pier body when joints between sections of the concrete-filled steel tube section column swing. The adaptability and restoring force of the bridge pier under different seismic intensities can be enhanced, the structural stability and integrity are ensured, meanwhile, the bridge pier structure and the connecting mode are optimized, and rapid repairing and function recovery after an earthquake are achieved.

The utility model relates to the technical field of electrical equipment installation, aims to solve the problems that in the prior art, a 1000-kilovolt high-voltage reactor in a high-altitude and high-seismic-intensity area is large in equipment size and load and is greatly influenced by horizontal seismic force, and the equipment and the structure are prone to deformation, and provides a 1000-kilovolt high-resistance seismic isolation frame in a high-altitude and high-seismic-intensity area. The frame body is provided with a plurality of I-shaped steel located on the same plane, and the I-shaped steel is perpendicular to one another and fixedly connected at intervals. The first steel plates and the second steel plates are arranged at the connecting joints of the I-shaped steel and fixedly connected to the connecting joints of the I-shaped steel. The high-voltage reactor has the beneficial effects that the horizontal earthquake acting force resisting performance of high-voltage reactor equipment is improved, the earthquake damage risk of the equipment when the equipment is in a high-altitude area with a larger boundary dimension and is in a high-seismic-intensity area is greatly reduced, the equipment and the structure are not easy to deform, and the reliability of related equipment in the high-altitude area and the high-seismic-intensity area is improved.

The invention discloses a method and system for predicting the influence of earthquake on the fatigue life of epoxy resin, and relates to the technical field of fatigue life, and the method comprises the steps: obtaining epoxy resin sample data, and constructing a defect-free epoxy resin sample; applying a seismic spectrum to the defect-free epoxy resin sample based on seismic intensity; performing crack setting on the defect-free epoxy resin sample to obtain a crack-containing epoxy resin model; and performing analysis based on the seismic spectrum and the crack-containing epoxy resin model to obtain a relationship among the seismic spectrum, the stress intensity factor and the fatigue extension life, so as to predict the influence of the earthquake on the fatigue life of the epoxy resin. According to the invention, the FRANC3D and ABAQUS joint simulation method is utilized to research the influence of different factors on the fatigue life of the epoxy resin material in the basin-type insulator under the condition that the epoxy resin material contains micro cracks, reveal the crack formation and expansion mechanism of the epoxy resin material under the earthquake working condition, and reduce the caused economic loss of a power system.

The application discloses a kind of UHPC connection's double post-tensioning prefabricated prestressed concrete frame structure system, including prefabricated concrete upper column, prefabricated concrete lower column, double post-tensioning prefabricated prestressed concrete composite beam, UHPC node core area and composite slab.The upper longitudinal main reinforcement, lower longitudinal main reinforcement, ordinary steel and post-tensioning prestressed tendon are directly anchored in UHPC node core area.The structure system is not only convenient and fast in field construction, improves component installation efficiency, but also can greatly reduce the anchoring length of steel bar, greatly reduce the amount of stirrup in node core area, avoid crowded steel bar in node core area, and reduce the cross-sectional height of component, reduce self weight, improve component crack resistance and self-recovery performance, thereby improve the seismic performance of overall frame structure.Double post-tensioning design can be reasonably designed according to different span, different load, different seismic intensity and other requirements, reduce cost, meet the use requirements.

The invention discloses a loess landslide slope body probing groove device and method, and relates to the technical field of geological prospecting, the loess landslide slope body probing groove device comprises a mounting frame, a driving screw rod is rotatably mounted on the mounting frame, a threaded sleeve is mounted on the driving screw rod in a threaded mode, the loess landslide slope body probing groove device further comprises a plurality of shovel plates, and the shovel plates are spliced to form a square frame body; comprising the following steps: S1, selecting a loess landslide-prone place with high seismic intensity, strong seasonal freeze-thaw effect and frequent concentrated rainfall as a research target area; the device has the advantages that in the groove probing process, the shovel plate moves downwards to enable the cutter strip to move back and forth automatically, plant root systems and stone blocks below the shovel plate are cut, in addition, when downward movement of the shovel plate is blocked, the shovel plate can be kept static, meanwhile, the plant root systems and the stone blocks below the shovel plate are cut in the static process, and the cutting efficiency is improved. Therefore, the groove detection efficiency can be effectively ensured, and collapse of the groove wall caused by forcibly applying downward pressure to the plant root system and the stone can be avoided.

The present invention discloses a method and system for the site selection of disaster relief material reserve warehouses based on earthquakes of magnitude 7 or above, relating to the technical field of the site selection of disaster relief material reserve warehouses, including: determining an intensity area where the earthquake magnitude is 7 or above and the earthquake intensity is 8 or above according to the earthquake literature materials and earthquake intensity attenuation models of the research area; using remote sensing building recognition technology and eight-connected mode to process the intensity area to obtain the disaster-affected area; determining the farthest safe flight distance when helicopters transport disaster relief materials and determining the candidate areas for the site selection of disaster relief material reserve warehouses within the research area; screening the candidate areas for the site selection according to the constraint relationship between the farthest safe flight distance and the disaster-affected area, as well as natural disasters, terrain indices, traffic conditions, urban planning, etc. of the research area, so as to determine the optimal site selection area. The address area selected by the present invention can achieve the purpose of practical feasibility.

The invention discloses a furnace bottom sealing and bearing structure of a lime kiln and other roasting kilns and a construction method, and relates to the technical field of construction of furnace bottom structures of lime kilns and other roasting kilns. According to the invention, the furnace bottom bearing beam transmits the received force to the upper surface of the reinforced concrete ring beam through the bearing inclined strut; the furnace wall ring beam transmits received force to the upper surface of the reinforced concrete ring beam through the supporting columns, the furnace bottom sealing steel shell, the embedded iron and the like, sealing and consolidation force transmission are completed through a secondary pouring ring, fatigue damage of the furnace bottom sealing steel shell is avoided, a furnace body can resist typhoon of more than 17 levels or 9-degree seismic intensity, and the service life of the furnace body is prolonged. And meanwhile, the sealing capacity of the furnace body exceeds 80 kPa. In addition, each large force is dispersed to the four sealing force transmission systems to be borne together and cooperate with one another, so that the maximum load value of each sealing force transmission system under the special structure condition is reduced, the sealing bearing reliability is improved through the simple structure, and meanwhile investment is saved.

The invention provides a regional earthquake-induced landslide risk rapid evaluation method and device, equipment, a storage medium and a product, relates to the field of geological disaster evaluation, and aims to solve the problems that an earthquake-induced landslide risk evaluation method in related technologies is difficult to realize rapid evaluation and is relatively small in application range. The method comprises the following steps: acquiring or predicting a distribution diagram of corresponding seismic intensity parameters and background condition data aiming at a landslide event induced by a sudden earthquake or a predicted landslide event induced by an earthquake; according to the distribution diagram of the seismic intensity parameters, seismic intensity levels of a plurality of areas included in the earthquake-induced landslide event are obtained through division; selecting a landslide risk evaluation model corresponding to the seismic intensity level according to the respective seismic intensity level and background condition data of the plurality of areas, and performing risk evaluation on each area to obtain landslide risk evaluation results of the plurality of areas included in the earthquake-induced landslide event; and displaying the landslide risk evaluation result.

The invention discloses an intelligent seismic intensity analysis system based on bidirectional dynamic visual identification, and relates to the field of intelligent seismic intensity analysis, and the system comprises an intelligent analysis center which is in communication connection with a data collection module, a data processing module, a data analysis module and a seismic intensity evaluation module. The method comprises the following steps: collecting video recording data of a building when an earthquake occurs, processing the collected video recording data of the building to obtain a building height change curve graph and a building height change broken line graph, and analyzing the obtained building height change curve graph and the building height change broken line graph to obtain a building height change curve graph and a building height change broken line graph; according to the method, the seismic intensity evaluation coefficient is obtained, and the seismic intensity is evaluated according to the obtained seismic intensity evaluation coefficient, so that the accuracy of seismic intensity evaluation is further improved, and the damage degree of the earthquake to the building is accurately explained.

The application discloses a kind of track traffic bridge seismic toughness grading evaluation standard construction methods, comprising: determining the function target requirement after earthquake under different earthquake levels;Carry out seismic vulnerability and function vulnerability analysis, determine the structure damage grade and post-earthquake residual function under different earthquake intensity;Determine the repair procedure and repair path of track traffic bridge system component, calculate the repair quantity and component repair period, obtain the repair period of track traffic bridge system;Analysis obtains the traffic function in repair process;Draw ladder type function recovery function and calculate to obtain toughness index;Calculate the effective influence days of different damage grades under different earthquake intensity;Establish the relationship between damage grade and effective influence days, determine the effective influence days range of different damage degree grade, obtain the seismic toughness grading evaluation standard.The application reduces the number and calculation amount of bridge samples, accurately reflects the function recovery situation after earthquake, and is used to guide the seismic fortification of bridge.

Provided is an earthquake prediction method for predicting that a specific period is a period with a high likelihood of earthquake occurrence on the basis of information on a seismic intensity or magnitude of interest for prediction in a particular area on the earth.　An earthquake prediction method according to the present invention comprises: an astronomical information collection step S1 for collecting astronomical information for a predetermined period in the past and a predetermined period in the future; a parameter acquisition step S2 for acquiring a parameter based on the collected astronomical information; an earthquake occurrence range identification step S3 for identifying an earthquake occurrence range, which is a range of the parameter in an earthquake occurrence period in which an earthquake actually occurred with the seismic intensity or magnitude of interest for prediction in the predetermined period in the past; and an earthquake prediction step S4 for extracting a period in which the parameter is within the earthquake occurrence range from the predetermined period in the future and predicting that the extracted period is a period with a likelihood of earthquake occurrence.