117 results about "Urban infrastructure" patented technology

The invention relates to the technical field of infrastructure data analysis, and discloses a real-time analysis method and system for safety monitoring of urban infrastructures, and the method comprises the steps: firstly obtaining the type and distribution data of the infrastructures, carrying out the matching of a corresponding IOT sensor from a sensing database, carrying out the scientific arrangement, and generating a digital twinborn model based on an IOT sensing network of various types of facilities; then acquiring Internet of Things networks corresponding to first and second types of facilities with a first Internet of Things relation by means of the model, respectively extracting sensing data, identifying abnormal data through a preset identification strategy, and judging and triggering a corresponding abnormal prompt in combination with a data volume ratio; and finally, based on the two types of abnormal prompts, performing linkage early warning on other facility types related to the first Internet of Things. According to the invention, accurate adaptation of facility monitoring, reliable identification of abnormal data and linkage prevention and control of associated facilities are realized, and the real-time performance, pertinence and comprehensiveness of urban infrastructure safety monitoring are improved.

The invention relates to the technical field of intelligent operation and maintenance of urban infrastructures, and particularly discloses an underground pipe gallery water leakage detection method and system based on acoustic features and multi-source fusion, and the method comprises the steps: carrying out the feature extraction of acoustic sensor data, and obtaining optimized acoustic features; performing structure optimization and data enhancement on the optimized acoustic features to obtain a water leakage judgment result; performing positioning correction by using a time difference of arrival algorithm and combining the three-dimensional model of the pipe gallery to obtain a water leakage position coordinate; and the intelligent agent autonomously selects a tool combination, and generates an underground pipe gallery water leakage intelligent detection report in combination with information retrieved in the structured knowledge base. According to the main technical scheme and effects, the intelligent agent with a large language model as a core is constructed, and a plurality of special tool modules and a structured knowledge base are cooperatively called, so that efficient, accurate and intelligent management of underground pipe gallery water leakage events is realized.

The invention provides an urban water supply system anti-seismic analysis method based on a multi-fineness digital twinborn model, and belongs to the technical field of intelligent disaster prevention and digital twinborn of urban infrastructure systems. Constructing a topological network model and a hydraulic model of the city-level pipe network; constructing a multi-fineness parameterized numerical model library, and designing a dynamic scheduling engine based on event response; constructing a bidirectional data conversion interface and a unified semantic framework, and constructing a multi-fineness digital twin model; performing simulation by using the multi-fineness digital twin model to obtain a real-time simulation result; based on the real-time simulation result, the comprehensive state of the urban water supply system is visualized, an emergency decision is made, and anti-seismic analysis of the urban water supply system is completed; the problems of precision and efficiency imbalance, collaborative decision-making obstacle and serious lagging of disaster scene response existing in anti-seismic analysis of an existing urban water supply system are solved.

The invention relates to the technical field of urban life facility efficiency evaluation, and discloses an urban wading infrastructure efficiency evaluation method, device and equipment and a storage medium. The current data of each index of a to-be-evaluated urban wading infrastructure in a current stage and the prediction data of each index in a future planning stage are acquired; the two types of data are integrated to construct an index data set, and the states of the urban wading infrastructure in different stages are comprehensively reflected. According to the method, the index data set is subjected to two-dimensional division of the time dimension and the wading period dimension, a whole-process index system is constructed, all links and all stages of the urban wading infrastructure can be comprehensively covered, and the problem that in the prior art, the assessment dimension is single is solved. According to the method, the characteristic correlation factor is introduced into the DEA model objective function and the slack variable upper limit constraint is set, so that the complex relationship between the urban wading infrastructure indexes can be accurately quantified, the slack variable is prevented from being excessively amplified, and the accuracy of the evaluation result is improved.

The invention discloses an urban infrastructure digital twinning system based on live-action three dimensions, and relates to the technical field of digital twinning, and the system comprises a data fusion module, a data credibility evaluation module and an augmented reality guide module. The data credibility evaluation module calculates a quantitative credibility grade for the multi-source heterogeneous data. The augmented reality guiding module can adaptively select the guiding mode corresponding to the grade to display after obtaining the target infrastructure component and the data credibility grade associated with the target infrastructure component. Under the high credibility level, the system provides accurate point guidance; and under the low credibility level, switching to a fuzzy region range indication or high-risk warning mode. According to the method, invisible data quality risks are converted into differentiated and visual AR visual guidance, so that safety accidents caused by accurate execution of wrong instructions are avoided, and the safety of field operation and maintenance and the reliability of decision making are improved.

The invention discloses an intelligent management system and management method for an urban gas pipe network, and relates to the technical field of urban infrastructure management, and the system comprises an equipment management module which is used for collecting multi-source heterogeneous data of the urban gas pipe network, and converting the collected data into intermediate data in a unified format; the transmission module is used for transmitting the intermediate data; the data management module is used for performing full-life-cycle processing on the intermediate data and constructing a database system and a mathematical model for supporting system operation; the application service module is used for performing deep mining and application on the processed intermediate data by adopting a big data analysis technology, an artificial intelligence technology and a virtual simulation technology so as to realize four intelligent management functions of fault early warning, equipment operation evaluation, pipe network dynamic simulation and emergency aid decision making of the gas pressure regulator; and the display module is used for receiving various application results, displaying the results at each terminal and pushing alarm information. According to the invention, intelligent management of the gas pipe network can be realized.

The invention is suitable for the technical field of urban facility detection, and provides an urban infrastructure automatic detection method based on a video image algorithm, and the method comprises the steps: obtaining real-time video stream data of multiple types of facilities in an urban block; performing disturbance processing to generate a plurality of groups of disturbance video frame sequences; calculating a similarity score between the feature vector of each video frame in the multiple groups of disturbance sequences and the weight vector of the pre-training defect recognition model; screening the video frame sequence according to a preset threshold value, and generating an updated video frame sequence; performing defect detection on the updated video frame sequence; matching the defect area with a preset facility template library, dividing a template image area, selecting a target area with the maximum parameter variation degree, calculating a position deviation value of the defect area relative to a reference point of the target area, and correcting defect positioning coordinates based on the position deviation value; and generating an urban infrastructure detection result according to the defect positioning coordinates. And the false detection rate of facility defect detection is effectively reduced.

The application discloses a flood simulation method based on urban infrastructure and a device thereof, and the method comprises the following steps: collecting street view images of a city, wherein the street view images comprise street view data collected from different urban infrastructures at different angles and different times; classifying and processing the street view data according to the types of the infrastructures, and extracting urban infrastructure data; fusing the infrastructure data and terrain data of the city to obtain fused terrain data of the city; dividing catchment areas of the city based on the fused terrain data and extracting water system data, and establishing a flood simulation model based on urban infrastructure according to the water system data, so that the influence of urban street networks, fence systems, buildings and other infrastructures on urban flood processes is fully considered, the simulation accuracy of a city rainstorm flood model is improved, and urban flood disasters are reduced.

The invention discloses a computer system fault detection method and system based on artificial intelligence, and relates to the technical field of fault detection.When the system operates, a first data set, a second data set and a third data set are obtained by collecting traffic system and urban infrastructure data, and key features are extracted from the collected data; the data processing module is used for storing the data, reserving information beneficial to fault detection, transmitting the information to the data processing module, training a machine learning model by using historical data, calculating a computer equipment operation state index Jtss and comprehensively evaluating the operation state of the traffic facility, continuously monitoring the real-time state, inputting the data to the machine learning model, detecting potential faults and responding to the system state change in real time. Once an abnormality is detected, an alarm is generated and a notification is sent to related city management personnel, so that actions are taken in time to solve problems, the time from fault discovery to response is shortened, the negative influence of the fault on urban traffic and infrastructure is adjusted, and system operation feedback information is collected regularly.

The present application relates to a kind of across fault city comprehensive pipe gallery anti-fault let pressure protection structure and construction method, belong to city infrastructure protection technical field.The across fault city comprehensive pipe gallery anti-fault let pressure protection structure, comprising: multiple distribution in pipe gallery both sides and bottom water bag, set on foundation stainless steel mesh belt chain and multiple set on stainless steel mesh belt chain stainless steel rectangular spring, bottom water bag is set between pipe gallery and stainless steel mesh belt chain, the top of bottom water bag and pipe gallery between is provided with PVC waterproof cloth, the stainless steel mesh belt chain is placed with multiple isolation shell in bottom water bag;Adapt to fault dislocation, improve the anti-deformation ability of pipe gallery;Using the combination design of water bag, foamed solidified soil, automatic pressure control water valve, can absorb and disperse stress when fault occurs dislocation, adjust pressure locally by water valve, reduce the direct impact on pipe gallery main structure, reduce the risk of pipe gallery wall cracking or damage.

The application relates to the technical field of urban infrastructure management, and discloses a city infrastructure intelligent supervision method and system based on digital twinning, which comprises a city infrastructure identification module, a city infrastructure diagnosis module and a city infrastructure feedback module; scientific dynamic diagnosis of abnormal hardware structure of a city infrastructure supervision node is carried out according to city infrastructure supervision node object entity model information and target city infrastructure supervision node normal three-dimensional entity model information, so that digital inspection of the external structure of the city infrastructure hardware is realized; target city infrastructure abnormal entity model identification data is transmitted to a city management platform through an Internet of Things communication network and is displayed on a display screen, so that visualized supervision of the city infrastructure based on digital twinning is realized, and the intuitiveness and applicability of the city infrastructure supervision are improved.

The application belongs to the technical field of urban planning, and discloses a flat and urgent dual-purpose public infrastructure site selection method and system. By constructing a graph structure of urban infrastructure, the dependence of candidate addresses on key upstream infrastructure is analyzed in depth, the individual vulnerability is quantified, and the common dependence risk of the site selection combination scheme is further evaluated, forming a closed-loop and systematic site selection screening process. It is just because of this interlocking and progressive analysis method that the application can effectively capture and quantify the "chain effect" caused by infrastructure failure, so as to screen out a flat and urgent dual-purpose public infrastructure site selection scheme with higher resilience in actual emergencies, and significantly improve the ability of the city to cope with emergencies.

The invention discloses a device and a method for monitoring a water level and a sundry coverage condition in an inspection well, relates to the technical field of urban infrastructure monitoring, and solves the problems that in most cases, people knows nothing about the condition below the inspection well, only can manually detect the condition on site, cannot accurately obtain water level data in the inspection well in real time, and cannot accurately detect the condition under the inspection well. According to the technical scheme, the inspection well cover detection device comprises a support, the support is of a frame-shaped structure, and the edge of the support is detachably installed on an inspection well base or between an inspection well cover and the inspection well base or between the inspection well cover and an inspection well wall through fixing connecting pieces; the device has the advantages that the device is simple in structure, easy to install and maintain and capable of adapting to various severe underground environments, efficiency and safety of urban infrastructure management are remarkably improved, and a powerful guarantee is provided for normal operation of an urban drainage sewage system.

The application relates to the technical field of disaster prevention and disaster reduction and resilience evaluation of urban infrastructure, and discloses an urban traffic system anti-seismic resilience evaluation system, which comprises a post-earthquake damage evaluation unit, an economic loss evaluation unit, a post-earthquake function evaluation unit, a repair and recovery simulation unit, a weak link identification unit, an anti-seismic resilience evaluation unit and a post-earthquake accessibility analysis unit. The system determines the self seismic damage state of roads and bridges through Monte Carlo simulation and traffic unit vulnerability curve, and determines the final damage state of the traffic unit in combination with the influence of the collapse of street buildings and the blocking of debris; direct economic loss and traffic capacity loss are calculated according to the final damage state, the repair and recovery process is simulated, the weak link is identified, the function-time curve is drawn, the resilience loss index is calculated, and the accessibility analysis of emergency services is carried out based on the post-earthquake road network state, so as to provide support for the anti-seismic planning of the urban traffic system and the post-earthquake repair decision.

The invention discloses an urban life circle planning method, device, equipment, medium and product, and belongs to the technical field of life circle planning, and the method comprises the steps: carrying out the preprocessing of an urban data set, and carrying out the weighting of different types of urban infrastructure and public service facility data through employing an entropy weight method; performing kernel density search on the preprocessed urban data set, and in the kernel density search process, determining a search radius based on a Cristaler center ground theory; on the basis of different kernel density maps, determining the cores of life circles of different hierarchies; and respectively determining the range of the life circle of each level based on the core of the life circle of each level and the road data of the first city. According to the method, the urban life circle can be accurately divided, the divided urban life circle can scientifically and reasonably deconstruct the urban space structure, the efficiency and fairness of urban resource allocation are improved, and the rationality of urban planning and management is enhanced.

The invention provides an urban and rural construction land integrated reference land price evaluation method and system, and relates to the field of land price evaluation, and the method comprises the steps: carrying out the preprocessing of land transaction and land price influence factor data, and constructing a land price feature data set; constructing a land reference land price prediction model based on GBDT; training and testing the model by using the land price feature data set, and inputting the land price influence factors of the to-be-evaluated area into the model to obtain a land price mean value of each level; if the to-be-evaluated area is the national construction land, taking the land price mean value as the reference land price of the to-be-evaluated area; if the to-be-evaluated area is a collective construction land; if yes, calculating the reference land price according to the following formula: the reference land price = the land price mean value of the same-level national construction land of the land, the urban house demolition management fee, the urban infrastructure matching fee, the land value-added tax, the urban maintenance construction tax, the additional educational fee, the additional local educational fee and the insurance premium of the unemployed farmers. According to the invention, urban and rural construction land reference land price integrated evaluation can be realized.

The invention relates to the technical field of urban infrastructure management, and discloses an urban infrastructure intelligent supervision method and system based on digital twinning, and the system comprises an urban infrastructure recognition module, an urban infrastructure diagnosis module, and an urban infrastructure feedback module. According to the urban infrastructure supervision node object entity model information and the target urban infrastructure supervision node normal three-dimensional entity model information, urban infrastructure supervision node facility hardware structure abnormity scientific dynamic diagnosis is carried out, and urban infrastructure hardware external structure digital inspection is realized; the abnormal entity model identification data of the target city infrastructure is transmitted to the city management platform on line through the Internet of Things communication network and is displayed and output in cooperation with the display screen, city infrastructure supervision based on digital twinborn visualization is achieved, and the intuition and applicability of city infrastructure supervision are improved.

The invention discloses a small-clear-distance parallel shield low-disturbance cooperative control method based on preceding tunnel protection. The method comprises the steps of construction of a shield cooperative control total system, feed-forward control, real-time deviation monitoring and feedback control. By constructing an integrated cooperative control total system and adopting a neural network model combining pre-training and online learning, control parameters can be dynamically optimized according to geological parameters and real-time monitoring data, the dependence on artificial experience is reduced, the construction risk caused by geological uncertainty is reduced, and the construction efficiency is improved. The tunneling reliability of the super-large-diameter shield under severe geology and small-clear-distance parallel shield construction conditions is improved, structural damage such as tunnel segment cracks, leakage or axis deviation is effectively prevented, and a key technical guarantee is provided for safe operation of urban infrastructures.

The invention relates to the technical field of smart city and complex system monitoring, and particularly discloses a dynamic monitoring system and method for the cooperative state of an urban infrastructure system. Comprising a multi-source data aggregation and governance module, an index quantification and weight calculation module, a system collaborative state dynamic monitoring engine, a collaborative monitoring evaluation and grading partition module and a visual decision support module. Firstly, multi-source heterogeneous data is processed through an adaptive space-time filtering fusion algorithm, secondly, a CRITIC-game weighting method is adopted to determine system state index weights, and finally, a dynamic interaction collaborative evaluation method based on toughness adjustment is adopted. And carrying out dynamic quantitative monitoring and evaluation on the three-dimensional collaborative level of the physical bearing capacity PCC, the real-time operation load ROL and the energy efficiency environment state EES. According to the method, a monitoring analysis framework with dynamics, robustness and interpretation is provided for cooperative operation and maintenance of an urban infrastructure system, and a scientific basis is also provided for realizing systematic scheduling and toughness improvement.

The invention relates to a pipe network division method and system for urban infrastructure simulation, and the method comprises the steps: S1, building a pipe network structure model for a target region, and enabling the pipe network structure model to comprise the topological structure information of pipe network segments and the attribute information of each pipe network segment; wherein the pipe network section between any two connection nodes is regarded as a to-be-dispersed pipe network section, and S2, performing grid division on each to-be-dispersed pipe network section in the pipe network structure model until a division cut-off condition is met. According to the method, on the basis of ensuring the solving precision and convergence, the human experience dependence and unnecessary modeling debugging time are remarkably reduced, and a scientific and rapid spatial discrete scheme is provided for engineering tasks such as urban pipe network digital twinning, transmission and distribution system simulation optimization and operation condition prediction; the method is suitable for fluid transmission and distribution process simulation based on numerical methods such as a finite volume method and a finite difference method.

The invention relates to the technical field of smart cities, in particular to an IOT-based eCityOS city infrastructure digital intelligence platform, which comprises an Internet of Things equipment layer, an edge side layer, a center side layer and a business application layer, the Internet of Things equipment layer comprises a plurality of Internet of Things equipment; the edge side layer comprises a plurality of edge controllers, and each edge controller is used for collecting data of the Internet of Things equipment corresponding to the edge controller and pushing the collected data of the Internet of Things equipment to the center side layer; the central side layer comprises a plurality of capability modules and is used for acquiring construction instruction information input by a user and constructing a corresponding business application APP by adopting the capability module corresponding to the construction instruction information according to the first data; the first data comprises data of the Internet of Things equipment obtained by the central side layer and / or a software data source obtained in advance; and the business application layer comprises all business applications APP constructed by the central side layer.

The utility model relates to the technical field of intelligent traffic infrastructures, in particular to a solar bus station with an unmanned aerial vehicle automatic charging parking apron, which comprises a station base and a ceiling, and solar photovoltaic panels are symmetrically arranged on two sides of the surface of the ceiling. An energy storage system is installed between the upper surface of the ceiling and the back face of the solar photovoltaic panel, and the output end of the solar photovoltaic panel is connected with the energy storage system through a waterproof connector. A wire groove is pre-embedded in the support, an output cable is connected to the energy storage system, the output cable is wired along the pre-embedded wire groove in the support, an unmanned aerial vehicle parking apron with a wireless charging function is arranged in the middle of the upper surface of the ceiling, and the unmanned aerial vehicle parking apron adopts the electromagnetic induction wireless charging technology. According to the utility model, the function fusion of the bus station and the unmanned aerial vehicle distribution service can be realized, and the utilization rate of urban infrastructures is improved; a solar power supply system is adopted, operation cost is reduced, and green energy utilization is achieved.

The invention provides an unmanned aerial vehicle nest position planning method and system based on a communication iron tower and a medium, and relates to the field of unmanned aerial vehicles, in the method, existing infrastructure resources are integrated by constructing a comprehensive database, site selection planning is carried out based on multi-objective optimization and an adaptive genetic algorithm, and dynamic adjustment and optimization are carried out in combination with three-dimensional simulation verification. According to the method, system integration and optimal utilization of urban infrastructure resources are realized, the nest deployment cost is reduced, and the scientificity and feasibility of a site selection scheme are improved; meanwhile, through multi-objective optimization and simulation verification, the coverage efficiency and the operation reliability of the unmanned aerial vehicle nest network are ensured, and reliable infrastructure support is provided for urban unmanned aerial vehicle application.

This invention discloses a method for dynamic monitoring and control of the spatial environment in underground utility tunnels, relating to the field of urban infrastructure operation and maintenance technology. After sorting the tunnel segments, instead of applying the same control method directly to all abnormal segments, it continues to read the environmental monitoring items that contribute the most to the deviation in each segment. Combining the function type, function area, and cross-segment boundaries of existing actuators, it calculates the control mapping relationship between the tunnel segment and candidate actuators, and then selects the actuator that best matches the current dominant deviation state for each segment. Fans, drainage pumps, access control linkage programs, and ventilation zone switching programs are no longer simply called in fixed patterns, but are instead linked separately based on the dominant environmental problems of different tunnel segments. For common issues in underground utility tunnels such as gas migration, moisture diffusion, and water accumulation, this method enables the actuator to match the abnormal attributes and main chain relationships of the current tunnel segment.

The invention relates to the technical field of smart cities, in particular to a method and system for building an urban infrastructure platform, and the method comprises the steps: carrying out the marking processing of obtained urban multi-modal data; constructing a question and answer sample set, a scene pairing data set and a preference data set based on the urban multi-modal data after annotation processing; performing preliminary training on the model deployed in the model warehouse based on construction of the question and answer sample set and the scene pairing data set, and then performing model fine adjustment on the deployed model based on the preference data set; constructing a structured database, an unstructured database and a knowledge graph based on the urban multi-modal data after marking processing; and based on a preset API interface, API service establishment is carried out on the trained city scene task support model, the trained language large model, the structured database, the unstructured database and the knowledge graph to obtain an established city infrastructure platform. The intelligent level and the service efficiency of urban governance are effectively improved.

This invention discloses a method, system, storage medium, and electronic device for assessing the risk of coupled failure of urban infrastructure. The method includes: establishing a multi-layer network model based on the internal network structure characteristics of the infrastructure and the coupling dependencies between different types of infrastructure; extracting the node centrality index of the multi-layer network model and calculating the single-layer node importance of each node in the single-layer network of the multi-layer network model; determining the comprehensive importance of each node in the multi-layer network based on the single-layer node importance; dynamically updating the network structure state of the multi-layer network model based on the multi-layer network model and the comprehensive importance of each node, and measuring the operational level of the updated multi-layer network model to obtain the operational status of the infrastructure at different times; verifying the comprehensive importance based on various simulation scenarios, and obtaining the operational status assessment results of the infrastructure under each simulation scenario to complete the coupled failure risk assessment.

The invention belongs to the technical field of urban planning, and discloses a method and a system for screening site selection of common infrastructures for both peacetime and urgency, which are used for deeply analyzing the dependence of candidate addresses on key upstream infrastructures by constructing a graph structure of the urban infrastructures, quantifying the individual vulnerability of the key upstream infrastructures and further evaluating the co-dependence risk of site selection combination schemes. And a closed-loop and systematic site selection screening process is formed. Due to the fact that the link-by-link and layer-by-layer progressive analysis method is adopted, the method can effectively capture and quantify the linkage effect caused by the infrastructure faults, and therefore the public infrastructure site selection scheme with higher toughness in actual emergencies can be screened out, and the ability of cities to deal with emergencies is remarkably improved.

The invention discloses a method for constructing and optimizing a digital one-map of an urban underground pipe network, belongs to the technical field of urban infrastructure management, and aims at constructing and optimizing the digital one-map of the urban underground pipe network by integrating a digital twinborn technology, an artificial intelligence algorithm, big data analysis, a three-dimensional visualization technology and a data management technology. Comprehensive monitoring, analysis, early warning, evaluation and decision support of underground pipe networks for urban water supply, drainage, heat supply, gas and the like are realized; real-time updating and dynamic simulation of a pipe network state are realized through real-time data acquisition and integration in combination with three-dimensional modeling and digital twinborn model construction; deep analysis can be performed on pipe network data, potential risks can be predicted, a maintenance plan can be optimized, operation risks can be reduced, and resource configuration efficiency can be improved; the application of the method not only improves the management efficiency of the underground pipe network, but also enhances the toughness of the urban underground pipe network and the capability of coping with emergencies.

The utility model discloses a PVC drain pipe for urban pollution discharge construction, which comprises an outer pipe and an inner pipe, the inner pipe is arranged in the outer pipe and can rotate around the axis of the inner pipe, an impeller is fixedly connected in one end of the inner pipe, spiral ribs are arranged on the inner wall of the inner pipe, the spiral ribs are spirally distributed along the inner wall of the inner pipe, and the spiral ribs are arranged in the outer pipe. A connecting pipe is connected between the two sections of outer pipes, the outer pipes are sleeved with the connecting pipe, and a driving structure is arranged on the connecting pipe and used for manual intervention of the inner pipe. The utility model belongs to the technical field of urban infrastructure construction, and particularly relates to a PVC (polyvinyl chloride) drainage pipe for urban pollution discharge construction.

The invention discloses a system, a method and a workflow for real-time monitoring of modern city infrastructures. A computer-implemented method; a computer software product; and a machine learning model based on the seismic data. The infrastructure comprises bridges, highway tunnels, airports, buildings and wind power towers. Monitoring is not limited to recorded seismic data. The disclosure also emphasizes the importance of monitoring various key infrastructures using seismic sensors, including security sites and manufacturing facilities, to enhance security and security capabilities, detect infrastructure health, and prevent unauthorized intrusion. In addition, the seismic sensor can also be used for indoor human activity monitoring. Bridge monitoring relates to continuous evaluation to ensure structural integrity and prolong service life; highway tunnel monitoring focuses on optimizing traffic conditions and monitoring structure images. The airport monitoring is beneficial to improving the runway safety, ensuring the optimal performance of the aviation infrastructure, reducing the potential risk to the greatest extent, and improving the overall safety and efficiency of aviation travel. By deploying the seismic sensor to monitor the infrastructure of the building, the potential risk of the building structure can be detected and positioned. Monitoring of a wind power generation tower is crucial to optimization of green energy production and guarantee of structural health of a fan. The security and manufacturing place monitoring aims to guarantee the security and security of facilities and prevent unauthorized invasion. By monitoring and analyzing seismic data of indoor human activities, different types of activities can be identified, and events such as walking and falling down can be detected. By using seismic sensors and processing seismic data in real time, these monitoring systems jointly improve the security, security, toughness and reliability of key infrastructures in different fields.