121 results about "Earthquake intensity" patented technology

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 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 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 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 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.

The present invention relates to the technical field of earthquake intensity prediction. Specifically, it relates to an earthquake intensity prediction method and device based on earthquake destructive force. The method includes the following steps: obtaining earthquake destructive force data of a target area; inputting the above earthquake destructive force data into a pre-established earthquake intensity prediction model to obtain the earthquake intensity of a target station, so as to accurately predict the earthquake intensity according to the building damage situation. Among them, the earthquake destructive force data is the ratio between various damage states of each type of building disaster-bearing body and the ratio between various damage states of the overall building disaster-bearing body. The earthquake intensity prediction model is obtained by training a machine learning algorithm based on historical earthquake intensity data and historical earthquake destructive force. The target area is the area adjacent to the target station.

This invention relates to the field of seismic isolation bearing technology, specifically a horizontal seismic isolation bearing based on air springs, comprising a lower connecting steel plate, an upper connecting steel plate, a lead-core rubber bearing element, a supporting sliding element, a sector-shaped air spring, and a dust cover. The lead-core rubber bearing element is fixedly connected to the upper part of the supporting sliding element, and the supporting sliding element and the lower connecting steel plate are connected through sliding contact, forming a sliding friction pair. Multiple sector-shaped air springs are arranged circumferentially around the supporting sliding element, and the outer sides of the sector-shaped air springs are connected to steel limiting rings fixed to the lower connecting steel plate. The sector-shaped air springs are internally equipped with limiting devices and buffer rubber to prevent excessive displacement and compression damage. A dust cover is installed on the upper part of the steel piston rod of the sector-shaped air spring. The bearing of this invention can automatically adjust its working state according to the earthquake intensity, primarily using sliding and air springs during minor earthquakes, and activating the lead-core rubber for energy dissipation during major earthquakes, achieving intelligent graded seismic isolation.

This invention provides a method for linking earthquake warnings with the identification of the number of people inside a room. [Solution] The method includes acquiring seismic waves in real time using an acceleration sensor, performing band-pass filtering to obtain seismic waves with a high signal-to-noise ratio, determining the maximum acceleration, maximum velocity, and maximum displacement based on the seismic waves with a high signal-to-noise ratio, predicting the seismic intensity of a seismometer, acquiring earthquake parameters announced by the national public warning system, acquiring the location of the building inside and the seismic design intensity, calculating the source distance based on the epicenter, source depth, and location of the building inside, calculating the earthquake warning intensity from the magnitude and source distance, calculating the earthquake intensity from the seismometer intensity and the earthquake warning intensity, acquiring the number of people inside in real time using a human presence sensor, determining the linked alarm level based on the earthquake intensity, seismic design intensity, and number of people inside, and issuing an alarm and transmitting alarm information according to the linked alarm level.

An earthquake-proof damping structure and earthquake-proof control method for industrial buildings, the earthquake-proof damping joints of which are composed of columns, cross beams, leaf springs, and viscous dampers. The columns include hollow concrete square columns and square steel columns located inside the hollow concrete square columns, and a plurality of through square holes are provided on the hollow concrete square columns. Inclined planes are provided on four planes at the lower part of the square steel column, and four wedge-shaped hanging blocks are suspended by steel wires at the upper part of the square steel column. The cross beam is supported in the square hole and is elastically connected to the square steel column through a leaf spring. The viscous damper is obliquely hinged between the cross beam and the square steel column, and it has a demagnetization device and a magnetization device, which can change the viscous characteristics of the viscous damper. The present invention has good shock absorption performance. Before the arrival of the earthquake shear wave, it can make the viscous damper have viscous characteristics matching the earthquake intensity level, respond specifically to the destructiveness of the earthquake, and minimize the degree of damage, truly achieving "not collapsing in major earthquakes, being repairable in moderate earthquakes, and not being damaged in minor earthquakes".

This invention provides a seismic intensity estimation system that can improve the accuracy of estimation when estimating the seismic intensity class based on the acceleration waveform obtained by the acceleration sensor of a smart device, while the smart device is placed on a stand on the floor. [Solution] The seismic intensity estimation system 1 includes: an acceleration waveform collection unit 23 that collects acceleration waveforms from each of a plurality of smart devices 10 during an earthquake; an acceleration waveform adjustment unit 24 that rotates the acceleration waveforms of the plurality of smart devices 10 so that their orientations in the horizontal plane coincide with each other to generate orientation-adjusted acceleration waveforms; a frame vibration characteristic derivation unit 25 that derives the vibration characteristics of at least one frame based on the orientation-adjusted acceleration waveforms of at least one pair of smart devices 10; and a floor seismic intensity class estimation unit 26 that derives the Fourier spectrum of the floor based on the acceleration waveform on the frame and the vibration characteristics of the frame to estimate the seismic intensity class of the floor.

The invention belongs to the technical field of earthquake early warning and personnel identification, and discloses an earthquake early warning and indoor people number identification linkage method and device, and the method comprises the steps: obtaining earthquake waves in real time through an acceleration sensor, and carrying out the band-pass filtering, and obtaining the earthquake waves with a high signal-to-noise ratio; according to the seismic waves with the high signal-to-noise ratio, the maximum acceleration value, the maximum speed value and the maximum displacement value are worked out, and the seismic instrument intensity is predicted; acquiring seismic parameters issued by a national public early warning system; obtaining the position of the indoor building and the earthquake fortification intensity; the hypo-central distance is calculated according to the epicenter, the epicenter depth and the position of the indoor building, the earthquake early warning intensity is calculated according to the magnitude and the hypo-central distance, and the earthquake intensity is calculated according to the seismic instrument intensity and the earthquake early warning intensity; the number of indoor people is obtained in real time through a human body existence sensor; according to the seismic intensity, the seismic fortification intensity and the number of indoor people, determining a linkage alarm grade; and according to the linkage alarm level, alarming and sending alarm information.

The invention provides a high arch dam earthquake vulnerability analysis method and system based on an extreme gradient lifting tree theory, and the method comprises the steps: obtaining a plurality of pieces of earthquake vibration data meeting the feature requirements of a high arch dam site, and constructing an engineering demand parameter set and an earthquake vibration intensity parameter set; constructing a high arch dam probability earthquake demand model based on an extreme gradient lifting tree model, and fitting a non-linear relationship between engineering demand parameters and earthquake intensity parameters; fitting a change curve of the engineering demand parameters with respect to the acceleration response spectrum value in the first-order natural vibration period based on a scalar model, and extracting boundary values divided by different anti-seismic performance levels; and on the basis of an engineering demand parameter logarithmic normal distribution hypothesis, using the fitted high arch dam probability earthquake demand model to construct an earth surface vulnerability function, and inputting an earth vibration strength parameter and boundary values of different anti-seismic performance levels for calculation to obtain earthquake vulnerability probabilities of the high arch dam under the different anti-seismic performance levels.

The invention provides an earthquake scene simulation system and method and computer equipment, and relates to the technical field of earthquake emergency. The system comprises a natural language interaction layer, a central scheduling module, a multi-source data fusion layer, a professional calculation layer and a visualization and decision support layer. The earthquake scene simulation system receives a natural language instruction based on a natural language interaction layer under the condition of earthquake scene simulation; the central scheduling module is used for sequentially sending trigger instructions to other levels of the system based on the structured instruction; the multi-source data fusion layer is used for querying seismic data and obtaining a unified seismic feature data set based on association integration of a knowledge graph; the professional calculation layer is used for generating a structured decision scheme and determining seismic intensity and seismic loss evaluation results; and the visualization and decision support layer is used for constructing a city-level three-dimensional scene and generating multi-class earthquake thematic maps. The system can improve scientificity and timeliness of earthquake disaster response decisions.

The building node includes an upper unit column, a lower unit column, an upper unit bottom beam, a lower unit ceiling beam, an upper connecting box, a lower connecting box, a connecting plate, an upper anchorage device, a lower anchorage device, an upper sleeve, a lower sleeve, a pull rod shear lock, position limiting nuts, and an injection pipe. The lower anchorage device is fixedly connected to the top plate of the lower connecting box; the lower position limiting nut is fixedly connected to the lower anchorage device; one end of the lower sleeve is fixedly connected to the lower anchorage device, and another end of the lower sleeve is fixedly connected to the top plate of the lower connecting box; the bottom of the upper sleeve is fixedly connected to the bottom plate of the upper connecting box.

The invention relates to the technical field of water conservancy projects, and discloses a high seismic intensity area and reservoir area bridge scheme comparison and selection method and system, and the method comprises the steps: building a multi-field coupling model based on the earthquake, landslide and large water level rise and fall, and obtaining a safety index, a function index and an ecological index in SPI values of a comprehensive performance index SPI based on the multi-field coupling model; establishing a dynamic full-life-cycle dynamic LCC model; an improved NSGA-III algorithm is adopted, optimization is carried out to generate a plurality of initial candidate schemes by taking minimization of the LCC value of the dynamic full-life-cycle dynamic LCC model, maximization of the comprehensive performance index SPI and minimization of carbon emission as multiple objectives, and an optimal candidate scheme is screened from the initial candidate schemes in combination with TOPSIS multi-attribute decision, the comprehensive performance index SPI comprises a safety index, a functional index, an ecological index and a cultural index. According to the method, the slope instability probability is reduced by arranging the multi-field coupling model based on earthquake, landslide and great water level rising and falling.