25 results about "Urban infrastructure" patented technology

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.

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.

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 relates to the field of urban infrastructure and more particularly to those which incorporate urban rain gardens, preferably arranged in an opening in an urban pavement.

The application relates to the technical field of smart cities, in particular to a method and system for building a city infrastructure platform, comprising: performing annotation processing on acquired city multi-modal data; constructing a question and answer sample set, a scene pairing data set and a preference data set based on the city multi-modal data after annotation processing; after preliminary training of a model deployed in a model warehouse based on the question and answer sample set and the scene pairing data set, fine-tuning the deployed model based on the preference data set; based on the city multi-modal data after annotation processing, constructing a structured database, an unstructured database and a knowledge graph; based on a pre-set API interface, performing API service building on a city scene task support model and a language large model after training, and the structured database, the unstructured database and the knowledge graph, so as to obtain a built city infrastructure platform. The application effectively improves the intelligent level and service efficiency of city governance.

The application discloses a kind of based on cross-scale holographic field's digital twin construction and regulation system and method, belong to digital twin and complex system modeling technical field.The system includes: cross-scale data acquisition layer, for from target physical system acquisition covers microscale, mesoscale and macro scale multilevel operating state data;Holographic field construction layer is connected with the cross-scale data acquisition layer, for multilevel data is mapped into a continuous holographic field, and the information fidelity and coupling deviation between each scale level are calculated by the single composite operation consisting of exponential operation, logarithmic operation and difference operation;Field diagnosis and regulation layer is connected with the holographic field construction layer, for real-time monitoring the coupling deviation value of holographic field, when deviation exceeds preset threshold, generating regulation instruction, driving digital twin model to carry out parameter calibration and structure correction;Closed loop verification layer is connected with the field diagnosis and regulation layer, for verifying the state consistency of digital twin model after regulation and actual physical system, and feedback verification result forms closed loop iteration.The application realizes the full-scale unified digital twin modeling and closed loop regulation from microcosmic to macroscopic for the first time, is suitable for earth system science, industrial equipment operation and maintenance, city infrastructure management, ecological system protection and the digital twin construction and intelligent regulation of various cross-scale complex systems.

We provide the system. [Solution] Means for collecting and securely storing user activity data, A method that uses artificial intelligence algorithms to analyze collected user activity data and propose sustainable actions, A means of analyzing user behavior in combination with urban infrastructure information to propose optimal eco-friendly activities, A means of receiving user feedback and quantifying environmental contribution, A means of visualizing and presenting analysis results and contribution data to users, A system that includes this.

This invention provides a method and system for urban disaster reasoning and risk assessment based on Bayesian networks, belonging to the field of emergency management. The method includes: acquiring multi-source real-time monitoring data, including urban infrastructure and meteorological data; acquiring historical event data and constructing a Bayesian network based on the historical event data, wherein the Bayesian network includes disaster-causing factor nodes, intermediate event nodes, and disaster outcome nodes; inputting real-time monitoring data as evidence into the Bayesian network model to update the state of relevant nodes in the Bayesian network; performing conditional probability reasoning based on the updated Bayesian network to calculate the probability of occurrence of power outage events and related impact events; and classifying and assessing the power outage risk based on the probability of occurrence to obtain risk level and corresponding disaster chain evolution path information, thereby achieving causal analysis, risk prediction, and impact assessment of power outage disasters.

This invention discloses a two-layer dynamic model of a composite transportation-medical network based on Markov chains, effectively overcoming the shortcomings of traditional complex network failure models in static network construction and the dynamic coupling and integration of disease transmission and infrastructure failure. This model integrates the functional relationships between transportation and medical infrastructure, introduces the background of infectious disease transmission, combines the SEIHR model and Markov chains to describe disease transmission dynamics, and utilizes a load-capacity model to capture the dynamic process of cascading failures, thus forming a two-layer dynamic model. This invention can not only accurately simulate network response and resource allocation driven by individual mobility and medical treatment decisions, but also effectively reveal the triggering mechanism and propagation path of cascading failures, providing scientific support for urban infrastructure planning optimization, public health emergency resource scheduling, and risk early warning. The applicability and analytical accuracy of the model are improved in infectious disease outbreak scenarios.

The application is suitable for the technical field of urban infrastructure risk management, and provides a data processing method for urban drainage pipe network risk prediction, comprising the following steps: step S5, multi-disaster coupling risk assessment: based on the risk probability of each node obtained in step S4, combining a pre-constructed waterlogging inundation model, calculating a multi-disaster coupling risk index, and generating a dynamic distribution map of urban drainage pipe network risk; step S6, intelligent scheduling of emergency knowledge and resources: based on the urban pipe network emergency knowledge graph, using a path optimization algorithm, generating an optimal scheduling path from an emergency resource point to a risk point, and outputting an emergency decision scheme. The data processing method for urban drainage pipe network risk prediction provided by the application, in the aspect of data processing, in step S1, the pre-constructed unified data dictionary is used for semantic alignment and standardized processing of multi-source heterogeneous data, so that the semantic consistency and high quality of the data are ensured.

This application discloses a method, device, equipment, and medium for monitoring leakage in urban underground pipe networks, relating to the field of intelligent maintenance technology for urban infrastructure. The method includes: acquiring data collected by multiple target devices installed at various locations within a target area of ​​the urban underground pipe network over a preset time period to obtain initial pipe network status data; the target devices include pressure sensors, flow sensors, water quality sensors, distributed fiber optic sensors, and level gauge sensors; the distributed fiber optic sensors are used to realize distributed acoustic wave sensing, distributed temperature sensing, and distributed strain sensing; preprocessing the initial pipe network status data, and inputting the processed status data into a pipe network leakage detection model based on a self-attention mechanism to perform leakage detection on each urban underground pipe network and obtain leakage detection results. This application can simultaneously detect leakage in multiple urban underground pipe networks, improving the accuracy and efficiency of detection while saving labor and time costs.

Provide a system. 【Solution means】 Means for collecting project management information and business details, Means for generating a work schedule using an artificial intelligence algorithm based on the collected information, Means for presenting the generated work schedule and accepting confirmation and modification, Means for inputting information for generating standard documents and automatically generating them, Means for analyzing information communication information and evaluating the psychological state, Means for organizing information and generating improvement proposals to collect and analyze feedback, Means for obtaining real-time information from urban infrastructure and optimizing the user's action plan, A system including the above.

Aerial Drone for Urban Infrastructure Mapping

This invention discloses a method for constructing a two-dimensional dynamic grid non-uniform atmospheric parameter optimization and correction model. The method includes dividing the terrain into horizontal regions according to land cover type, collecting meteorological data from different horizontal regions to construct a meteorological data variation model, calculating the atmospheric refractive index above the land cover in the corresponding horizontal region, performing vertical layering to obtain a two-dimensional dynamic grid, constructing a two-dimensional spatial nonlinear atmospheric refractive index matrix, dividing the grid into radial distances according to the two-dimensional dynamic grid to obtain the grid transmission distance, performing atmospheric correction and discrete summation to obtain the radial distance correction value, calculating atmospheric disturbance error and performing atmospheric compensation to obtain the line-of-sight deformation, and calculating the micro-deformation of urban infrastructure through the spatial relationship between a microwave radar interferometer and the observation point. This method can consider changes in meteorological factors in both the vertical and horizontal directions, adapting to complex terrain and variable meteorological conditions, thereby improving the measurement accuracy of microwave reflectometers for micro-deformation of urban infrastructure.

This invention relates to a method for accessibility analysis of electric vehicle charging stations based on the LEVCD-2SFCA model, belonging to the field of urban infrastructure planning analysis. The method mainly involves: collecting electric vehicle trajectory data and Points of Interest (POI) data influencing charging station site selection within a certain period in the study area; performing data preprocessing to form a dataset; analyzing the electric vehicle trajectory data using a charging demand algorithm to obtain historical charging demand points for electric vehicles; analyzing the attributes of the POI data, classifying them according to attribute information, and using ArcGIS software to process and obtain the fitness F of each location in the study area; calculating the reference radius of the charging station at the desired location based on the fitness F and the minimum service radius expected to be achieved in the study area; and performing accessibility analysis based on the above data to generate an accessibility map. This invention can dynamically determine the service radius according to different study areas and incorporate competition factors between charging stations, making the analysis results more realistic.

This utility model discloses an under-road prefabricated pipe trench, specifically relating to the field of building equipment technology. It includes a pipe trench body with limiting plates securely installed on the left and right sides of the inner wall of the trench body via welding. The upper side of the limiting plates has screw holes for subsequent fastening component installation. Through the cooperation of the limiting plates on both sides of the inner wall of the trench body with a movable positioning frame, upper and lower clamping blocks form a stable space, effectively clamping the pipeline. Fastening screws screwed into the screw holes further stabilize the positioning. A cable rack is welded to the side of the support plate, with spring clamping rods installed in its limiting holes. Combined with anti-detachment plates and anti-slip pads, it can adaptively clamp the cable, ensuring stable fixation. This under-road prefabricated pipe trench, which effectively clamps the pipe and prevents pipe tangling, has significant practical implications. It plays a positive role in ensuring the safe and stable operation of underground pipelines and improving the construction quality and maintenance efficiency of urban infrastructure.

This invention discloses a rock-based composite manhole cover for environmental information monitoring based on the Internet of Things (IoT), relating to the field of smart city infrastructure technology. The manhole cover includes: a cover body and a sensing and monitoring module; the cover body is made of basalt fiber-reinforced resin-based composite material with an internal hollow sandwich structure; the sensing and monitoring module is embedded in the lower surface of the cover body and includes a sensor group, a hardware wake-up circuit, a main control unit, and a wireless communication unit; the hollow sandwich structure is filled with phase change energy storage material; the hardware wake-up circuit is connected to the sensor group and the main control unit and is continuously powered at the microampere level, used to compare the output signal of the sensor group with a preset tilt angle threshold, and only generates a trigger signal and sends it to the main control unit when the output signal exceeds the preset tilt angle threshold. This invention achieves the goals of material durability, cost control, low sensor power consumption, and data accuracy by optimizing the material structure and circuit architecture.

The application relates to an infrastructure security resilience evaluation method and an electronic device, and belongs to the technical field of computers.The method comprises the following steps: constructing infrastructure networks of different levels, and generating a multi-layer interdependent network by generating a cross-layer dependence edge set; obtaining a deliberate attack sequence according to a structural importance score and a functional criticality score of a node; performing static disturbance simulation and dynamic cascade simulation according to an attack mode; the attack mode comprises random attack and deliberate attack; obtaining a structural importance node ranking list by comparing network connectivity rate curves under different attack modes, and obtaining a functional criticality node ranking list by comparing network efficiency curves under different attack modes; performing whole-network single-node disaster-causing simulation of the multi-layer interdependent network through dynamic cascade simulation to obtain a cascade high-risk node ranking list; and performing infrastructure security resilience evaluation according to the ranking lists.The application realizes effective identification of key nodes that truly need to be preferentially reinforced or preferentially restored in different disaster stages and system states, thereby improving the accuracy and operability of urban infrastructure system security resilience evaluation under extreme disasters.

This invention discloses a real-time building damage monitoring method for UAVs based on vision-IMU fusion. It utilizes an improved YOLOv11 to detect crack regions in monocular images, enhances the boundary and texture features of small cracks using SCConv and AFPN, and employs an MPDIoU bounding box regression strategy to improve positioning accuracy in complex backgrounds. To suppress image drift caused by flight jitter, an adaptive threshold stabilization module based on Alike features and Lucas-Kanade optical flow is constructed to achieve stable alignment of image sequences. Addressing the monocular vision scale drift problem, a loosely coupled vision-IMU fusion algorithm is employed. Through extended Kalman filtering combined with zero-velocity updates and gyroscope bias correction, high-precision estimation of the camera's six-DOF pose is achieved. Based on this, the three-dimensional geometric information of the cracks is reconstructed, enabling accurate quantification of crack length and width. This algorithm maintains stable performance even under complex environmental conditions, providing crucial technical support for UAV inspection and intelligent operation and maintenance of urban infrastructure.

The eco-friendly three-layer concrete slab for advanced filtration of urban polluted water and flood resilience provides a transformative solution to pressing urban challenges, including rainwater runoff and soil pollution. Unlike traditional impermeable concrete, which exacerbates flooding, or permeable alternatives that struggle with clogging and pollutant removal, this innovative design optimally enhances filtration and drainage. The top layer captures larger pollutants, while the middle layer employs additives like activated carbon, graphite, carbon nanofibers, and specialized aggregates (garnet, silica, basalt, granite, and dolomite) to effectively eliminate heavy metals, nitrates, arsenic, pharmaceuticals, and microplastics. The robust bottom layer, reinforced with polypropylene fibers, ensures structural integrity and durability, executing final filtration even in harsh environments. Designed for use as precast slabs and concrete covers for water channels, this advanced porous concrete facilitates efficient rainwater management and supports safe irrigation practices, thereby promoting sustainable agriculture and contributing to healthier ecosystems and resilient urban infrastructure.

The application discloses a device and method for monitoring water level and sundry covering condition in a manhole, relates to the technical field of city infrastructure monitoring, and solves the problem that people are unaware of the condition under the manhole in most cases, can only detect the condition on site by manual operation, and cannot acquire water level data in the manhole in real time and accurately, and judge the covering condition of the manhole, such as whether the manhole is covered by sundry or whether the manhole cover is displaced. Technical scheme points are as follows: a support is in a frame structure, and the support edge is detachably installed on a manhole seat, between a manhole cover and the manhole seat, or between the manhole cover and a manhole wall through fixed connecting pieces. The device has the effects that the device is simple in structure, easy to install and maintain, can adapt to various harsh underground environments, significantly improves the efficiency and safety of city infrastructure management, and provides a powerful guarantee for the normal operation of a city drainage and sewage system.

This invention provides a dedicated intelligent monitoring system and method for flexible control scenarios, relating to the fields of industrial safety monitoring and intelligent sensing technology. The system comprises a distributed sensing module, an edge control module, and a cloud management module. It collects multi-dimensional hazard signals, including electric arcs, small flames, and localized temperatures, through a distributed array of sensing units integrating arc flame detectors and high-precision array temperature sensors. The edge control module preprocesses the data using anti-interference algorithms and determines the hazard level through multi-parameter collaborative analysis and dynamic adjustment of scenario-based thresholds. The cloud management module enables data storage, remote monitoring, and multi-channel alarm push notifications. The system of this invention has a false alarm rate of ≤5% and a hazard identification response time of ≤3 seconds, detecting early hazards 10-15 seconds earlier than traditional technologies. It is compatible with over 95% of flexible control scenarios, significantly improving monitoring accuracy and timeliness, saving valuable time for hazard handling, and ensuring the safe operation of industrial production and urban infrastructure.

The application discloses a city infrastructure emergency capability parameter extraction and optimization method, system and device, comprising the following steps: constructing a multi-source fault case library, obtaining related data, and fusing to construct a unified and standardized fault case library; automatically extracting key information in unstructured fault case text, and outputting structured data; constructing a "fault scene-fault duration" association database to form a structured two-dimensional data table; and constructing a "specific type key infrastructure fault scene-fault duration grading system" to clarify the emergency capability of key infrastructure under a specific scene. The application utilizes the powerful natural language understanding and information extraction capability of a large language model to realize intelligent processing of massive, multi-source and unstructured fault cases, constructs a refined fault scene and duration database, realizes scientific, dynamic and refined evaluation of the emergency capability of key infrastructure, and provides data support and decision basis for city emergency management.