188 results about "Urban infrastructure" patented technology

The invention relates to the technical field of urban infrastructure intelligent detection, and discloses an urban drainage pipe network damage detection system based on intelligent analysis. A multi-source data acquisition module acquires pipe network static structure parameters and real-time operation monitoring data through a distributed sensor network; generating a topological characteristic value, a dynamic operation state characteristic value and a dynamic detection threshold set of each damage type; the data preprocessing module filters noise of the monitoring data, eliminates abnormal values and extracts time domain and frequency domain feature vectors; the feature fusion module fuses and generates a multi-dimensional fusion feature matrix based on the topology and operation feature values; the intelligent analysis engine calculates and outputs a damage type diagnosis result through mode matching; the spatial positioning module generates three-dimensional coordinate positioning data of the damaged area in combination with the topological characteristic value; and the dynamic learning module optimizes the detection rule according to the maintenance data. The system realizes intelligent damage detection and accurate positioning, improves the detection accuracy and efficiency, adapts to a complex environment, and is high in intelligent level.

The invention discloses an underground pipe network intelligent sensing and safety evaluation system based on an urban lifeline, relates to the field of intelligent monitoring and management of urban infrastructures, and provides an intelligent sensing and safety evaluation system for an underground pipe network based on the urban lifeline by integrating advanced technologies such as an advanced sensor network, a deep learning algorithm, an Internet of Things technology, a digital twin model and meteorological data integration. Comprehensive real-time monitoring and accurate damage identification are carried out on the urban underground pipe network; a machine learning algorithm is combined with a physical model, a statistical method and application of a digital twinborn technology, so that the system can create a digital copy of a pipe network, synchronization of virtuality and reality is realized, and an integrated meteorological risk assessment tool and an early warning system can be combined with pipe network monitoring data and meteorological short-term and imminent forecast data; the potential influence of extreme weather on the pipe network is evaluated, and early warning is given out in time; the health monitoring, risk assessment and emergency response capabilities of the underground pipe network can be remarkably improved, and intelligent management of urban infrastructures is realized.

The invention relates to an urban rainfall flood process forecasting method based on data assimilation and multi-mode coupling, and the method comprises the following steps: (1) collecting historical meteorological data, hydrological data, topographic data, soil texture data, vegetation data and urban infrastructure data in a region; performing quality control and format standardization on all the data, and inputting the data to a GIS technology-based visual analysis and decision-making platform; (2) establishing a parameter transfer rule among the WRF, the SHUD and the two-dimensional hydrodynamic model; (3) operating WRF, obtaining regional high-resolution rainfall forecast data, performing EnKF dynamic updating, and inputting the data to the platform; (4) driving the SHUD to obtain regional surface runoff and groundwater prediction data, performing EnKF dynamic updating and inputting the data to the platform; (5) driving the two-dimensional hydrodynamic model to obtain a flood propagation path and spatio-temporal release data of a submerged area, and inputting the data to the platform; and (6) forming risk level assessment by using an automatic threshold identification technology, and inputting the risk level assessment to the platform. The method is high in practicability and can realize accurate forecasting.

The invention provides an urban viaduct concrete crack width monitoring and early warning method and equipment, and the method comprises the steps: respectively installing displacement sensors at the concrete cracks of all urban viaducts, carrying out the grouping and collection of the displacement sensors in a Zigbee communication mode, and uploading the monitoring information obtained through sensing to a user side; and based on the received monitoring information, an early warning network model is correspondingly established for each crack at the user side, model parameters of the early warning network models are updated in real time, and large-range cluster type crack width monitoring and early warning are carried out. According to the method, the feature extraction time is shortened and the extraction capability is improved by using data dimension reduction, long and short term memory and a self-attention mechanism network, a corresponding early warning network model is rapidly established for each crack, and the characteristics of the Internet of Things, 5G communication, a one-dimensional convolutional neural network, a recurrent neural network and a self-attention mechanism are fully utilized. The problems of large-range cluster type crack width monitoring and early warning are effectively solved, the crack width monitoring number and early warning precision are improved, and a guarantee is provided for the safety of an urban infrastructure structure.

The invention discloses a coding and tagging method and system based on urban infrastructures, and belongs to the technical field of unified identification code coding, the realization of the method comprises the following steps: constructing a multi-level coding structure which comprises administrative division codes, facility type codes, unique serial numbers and dynamic attribute extension segments; acquiring real-time state data of the facility through an Internet of Things sensor, and writing key parameters into the dynamic attribute extension section; selecting an adaptive code identification mode according to a facility physical environment to carry out identification deployment; binding the codes with the three-dimensional coordinates of the urban information model to realize digital twinborn mapping; and fault prediction and intelligent decision making are realized through a coding depth integration and AI analysis module. According to the method, the problems of fragmentation, static identification information lag and data islanding of a traditional coding system are solved, the facility positioning efficiency is improved, the operation and maintenance cost is reduced, and reliable support is provided for intelligent management of the whole life cycle of urban infrastructures.

The invention discloses an unmanned aerial vehicle inspection method and device based on a smart rod and a storage medium, and relates to the technical field of smart city infrastructure, and the unmanned aerial vehicle inspection method based on the smart rod comprises the steps that the smart rod determines a target unmanned aerial vehicle and an inspection scheme of the target unmanned aerial vehicle according to a triggered inspection task, the inspection scheme is sent to the target unmanned aerial vehicle; controlling the target unmanned aerial vehicle to execute the inspection scheme to collect inspection data, and returning the inspection data to the smart rod; the smart rod uploads the received inspection data to the cloud; the cloud carries out data comparison based on the inspection data and city reference data of an area where the intelligent rod is located, and determines a data comparison result; and if the data comparison result meets the abnormal condition, generating a recheck instruction and / or prompt information according to the data comparison result. The technical defect that the inspection efficiency is low due to the fact that the problems in the whole urban area cannot be responded in time is overcome, and the urban inspection efficiency is improved.

The invention discloses a rainstorm disaster chain-oriented urban infrastructure risk assessment method. The method specifically comprises the following steps of S1, performing unified coding on urban infrastructure elements; s2, constructing an association network between urban infrastructure nodes; s3, constructing an urban rainstorm disaster chain network; s4, simulating secondary disaster risks caused by rainstorm disasters; s5, simulating infrastructure risks caused by a rainstorm disaster chain; s6, assessing cascade fault conduction of the infrastructure node risk; s7, realizing real-time risk display based on the unified identification code; the invention relates to the field of emergency technology and computer technology. According to the urban infrastructure risk assessment method oriented to the rainstorm disaster chain, infrastructure node risks caused by rainstorm and secondary disasters thereof are considered, support is provided for dynamic emergency decision-making of multi-disaster linkage, timed and fixed-point refined infrastructure node risk pre-judgment is achieved, and the risk assessment efficiency is improved. And making of specific emergency decisions and targeted resident disaster risk prevention are facilitated.

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 provides an underground pipe gallery intelligent risk monitoring system and method based on multi-source heterogeneity, and relates to the technical field of urban infrastructure monitoring, and the system comprises an induction network obtaining module which obtains a distributed induction network; the heterogeneous data acquisition module is used for acquiring multi-source heterogeneous data; the data set acquisition module is used for acquiring a pipe gallery monitoring data set; the multivariate coefficient obtaining module is used for obtaining a pipe gallery risk multivariate coefficient; and the early warning signal generation module is used for generating a pipe gallery early warning signal. The technical problems that in the prior art, multi-source heterogeneous information cannot be comprehensively obtained, real-time omnibearing monitoring of the pipe gallery is difficult, and accurate assessment and timely risk early warning cannot be carried out are solved, the multi-source heterogeneous information is comprehensively obtained, real-time omnibearing monitoring, accurate risk assessment and timely risk early warning of the pipe gallery are achieved, and the safety of the pipe gallery is improved. And safe and stable operation of the pipe gallery is guaranteed.

The invention discloses a geotechnical engineering disaster risk dynamic monitoring method and a related device, and relates to the field of disaster monitoring, and the method comprises the steps: constructing a three-dimensional geologic model corresponding to urban infrastructure, obtaining multi-element monitoring data cooperatively collected by a plurality of perception sensors arranged at each monitoring point in the three-dimensional geologic model, and carrying out the multi-element monitoring data; the method comprises the following steps: acquiring multivariate monitoring data, processing the multivariate monitoring data through a data fusion algorithm to obtain fusion data, performing soil layer data analysis on the fusion data to obtain a multi-dimensional signal statistical value, and when a target signal value exceeding a corresponding early warning threshold interval exists in the multi-dimensional signal statistical value, judging that an engineering disaster risk exists in a region where the urban infrastructure is located. According to the invention, fusion and soil layer analysis are carried out through multi-element monitoring data acquired by multiple sensing sensors arranged in the three-dimensional geologic model in a cooperative manner, so that the problems of insufficient data measurement and low measurement precision of a single-point sensor are avoided, the situations of misinformation and missing report of disasters are reduced, and the accuracy and stability of dynamic monitoring of geotechnical engineering disaster risks 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 infrastructure monitoring, in particular to an urban area-level pipe gallery monitoring system based on distributed temperature measurement optical fibers and base stations, which comprises the distributed temperature measurement optical fibers laid along a preset path in an urban pipe gallery, a multi-level base station framework and a monitoring and early warning module, the multi-stage base station architecture comprises a master station layer and a substation layer, the substation layer comprises substations arranged in different areas, the substations are in sampling connection with distributed temperature measurement optical fibers in coverage areas of the substations to obtain temperature data, the substations are in communication connection with the master station to preliminarily analyze and process the obtained temperature data, temperature abnormal points are identified, and the temperature abnormal points are sent to the master station layer. Related data are sent to the master station; and the master station receives the related data sent by each substation, and performs data summarization, comprehensive analysis and fault location based on the related data. According to the invention, the comprehensiveness and rapidity of pipe gallery monitoring are effectively improved.

The invention belongs to the technical field of steel plate cutting, and discloses an urban infrastructure steel plate quantitative cutting device which comprises a bottom plate, supporting columns are fixedly connected to the four corners of the top of the bottom plate correspondingly, a sliding groove is formed in the top of the bottom plate, a workbench is fixedly connected to the tops of the supporting columns, and a steel plate is fixedly placed on the workbench; a cutting groove is formed in the workbench, a cutting knife is arranged at the bottom of the cutting groove, a mounting block is fixedly connected to the side face of the supporting block, a protection mechanism used for preventing cutting scraps from splashing is arranged on the mounting block, and through cooperation of a protection cover, a driving assembly and other structures, the cutting scrap scraps can be prevented from splashing conveniently; and meanwhile, cutting sparks are prevented from being directly exposed, eyes of workers are prevented from being damaged, and the problem that when an existing cutting device conducts cutting through a cutting knife, a large number of sparks and chippings are likely to be generated, and then certain potential safety hazards exist is 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 relates to an unmanned aerial vehicle-mounted microwave phase difference underground pipeline detection device and method. The device comprises a microwave phase difference detection system and an unmanned aerial vehicle system, and the microwave phase difference detection system is fixedly installed below an unmanned aerial vehicle rack and comprises a microwave emission source module used for generating microwave signals; the antenna array is formed by arranging five yagi antennas at equal intervals, the antenna in the middle is a microwave transmitting antenna, the antennas which are connected with the microwave transmitting source module and are symmetrically arranged on the two sides are microwave receiving antennas; and the phase difference measurement modules are respectively arranged on two sides of the antenna array and are used for measuring and calculating the phase difference between the microwave signals received by the two receiving antennas. The device depends on an unmanned aerial vehicle system, the position, depth and trend of the underground pipeline can be accurately calculated in combination with the position information of the unmanned aerial vehicle, technical support is provided for an intelligent underground pipe network, and the monitoring and maintenance capability of urban infrastructures can be 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 discloses a surveying and mapping data acquisition system and method based on an urban information model, and relates to the technical field of surveying and mapping data acquisition. In order to solve the problems that an existing collection method is low in efficiency and single in data type, and cannot cover all types of geographic features, especially in an urban complex environment, and due to dynamic changes of the urban environment, differences exist between a model and an actual environment. According to the surveying and mapping data acquisition system based on the city information model, through integrating the surveying and mapping technology of hardware equipment and the city three-dimensional model, the real-time performance and accuracy of data acquisition are improved, the scientific decision-making of city planning and construction is promoted, the efficient data processing capability accelerates information circulation, the operation cost is reduced, and the data acquisition efficiency is improved. The intelligent level of urban management is enhanced, the maintenance efficiency of urban infrastructures is further improved, the capability of coping with disasters of cities is enhanced, a safer and more convenient living environment is provided for residents, and sustainable development of smart cities is powerfully promoted.

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.

This disclosure describes systems, methods and workflows; computer-implemented methods; computer software products; and ML models for real-time monitoring of the infrastructures in modern cities, including bridges, road tunnels, airports, buildings, and wind turbine towers, utilizing seismic data. The monitoring is not restricted solely to the recorded seismic data. This disclosure also emphasizes the importance of monitoring various critical infrastructures using seismic sensors, including security sites and manufacturing facilities, to enhance safety and security, detect infrastructure health, and prevent unauthorized intrusions. Additionally, seismic sensors can be used to monitor indoor human activity. Bridge monitoring involves continuous assessments to ensure structural integrity and longevity, while road tunnel monitoring focuses on optimizing traffic conditions and monitoring structural images. Monitoring at airports improves runway safety and ensures optimal performance of the aviation infrastructure, minimizing potential risks and enhancing overall safety and efficiency in air travel. Deploying seismic sensors to monitor a building's infrastructure enables the detection and location of potential risks to the building structures. Monitoring wind turbine towers is crucial for optimizing green energy production and ensuring the structural health of the turbines. Security and manufacturing sites are monitored to ensure the safety and security of the facilities and prevent unauthorized intrusions. By monitoring and analyzing seismic data of human activities in rooms, one can identify different types of activities and detect instances of walking and falling. By employing seismic sensors and real-time processing of the seismic data, these monitoring systems collectively contribute to the safety, security, resilience and reliability of vital infrastructures in various domains.

The invention provides an infrastructure cascade failure prediction method and system for flood disaster scene construction, and the method comprises the steps: constructing an extreme rainstorm flood disaster scene through a numerical simulation method; constructing an independent network topology structure of the traffic infrastructure, the electric power infrastructure and the communication infrastructure; the method comprises the following steps: under the impact of extreme rainstorm, analyzing a cascade relationship and a disaster propagation mechanism of power-communication-traffic infrastructure, and constructing a cascade failure three-order network model of urban key infrastructure, the three-order network model comprising a three-order infrastructure network topology model, an extreme rainstorm flood model, a disaster propagation model and a cascade failure model; according to the submerging water depth of the urban infrastructure influenced by the extreme rainstorm, infrastructure failure conditions are set, infrastructure node failure prediction is carried out, and then independent infrastructure network failure prediction and urban key infrastructure cascade failure prediction are carried out. According to the invention, infrastructure cascade failure prediction can be carried out.

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 invention discloses a flood simulation method and device based on urban infrastructure, and the method comprises the following steps: collecting streetscape images of a city, the streetscape images comprising streetscape data collected from different urban infrastructures at different angles and in different time; performing classification processing on the streetscape data according to the types of the infrastructures, and extracting the infrastructure data of the city; fusing the infrastructure data and the topographic data of the city to obtain fused topographic data of the city; the method comprises the following steps: dividing water collecting areas of cities based on fused topographic data, extracting water system data, establishing a flood simulation model based on urban infrastructures according to the water system data, fully considering the influence of infrastructures such as urban street networks, wall systems and buildings on the urban flood process, and improving the simulation precision of the urban rainstorm flood model. And urban flood disasters are reduced.

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.

This invention proposes a method for testing a grouting curtain model system for underground pipeline vibration control, relating to the fields of underground engineering and blasting engineering technology. The method includes: constructing a test model based on similarity theory, including determining a geometric similarity ratio, constructing a model test box with a shock-absorbing boundary, and reserving grouting locations within the test box; selecting model test materials, including selecting fill materials appropriate to the project site, determining buried pipeline specifications, preparing explosive packs for simulated blasting, and preparing grouting curtain materials according to a predetermined ratio; arranging a measurement system and conducting tests, including arranging strain measurement points on the pipeline surface, deploying acceleration sensors and earth pressure sensors in the soil, and using a dynamic signal acquisition system to record measurement data during the simulated blasting process. This invention systematically reveals the vibration reduction mechanism of grouting curtains in controlling blasting vibration in urban underground pipelines, providing a theoretical basis and technical support for urban infrastructure safety.

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.