408 results about "Urban management" patented technology

The invention discloses a digitized city management data sharing system based on cloud data, which comprises a city management cloud center, wherein the city management cloud center comprises supervision data wireless acquisition equipment (city management equipment), an application layer, a cloud data center, an application maintenance layer and a provincial city management cloud center infrastructure layer; and an intelligent city management digitalized city management platform provides services to cities through special departments, a command center and a monitoring center. The digitized city management data sharing system adopts an intelligent city management and construction mode based on cloud calculation, and reduces the problems that the service processing unit has difficulty in maintaining system functions, service process and data processing.

The invention discloses a digital city management data sharing system based on cloud calculation, which comprises an application system and a safety function module, wherein the application system comprises a city management service module and a city management service expansion module; the application system is used for sending a safety request to the safety function module, and receives a safety processing result fed back by the safety function module at the same time; the application system sends an assistant management request to an auxiliary functional system, and receives an assistant management result fed back by the auxiliary functional system at the same time; the application system further sends a calculation request to a cloud calculation service center, and receives a calculation result fed back by the cloud calculation service center at the same time; and the safety function module is used for monitoring and maintaining safety of an operating system, a database, application software and an application system account, and alarms when discovering a potential safety hazard. By separating service processing and data processing, the digital city management data sharing system based on cloud calculation reduces the problems that the service processing unit is not familiar to system functions, service process and data processing, and is difficult in maintenance.

The invention discloses a method for city building function classification based on a high-resolution remote sensing image. The method comprises the steps of A, extracting buildings in the high-resolution remote sensing image by adopting a CNN (Convolutional Neural Network) method, and acquiring a building extraction result; B, sorting and classifying POI (Point of Interest) data according to attribute information, respectively performing kernel density estimation on POIs of the commercial and service facility land, the public management and public service land and the residential land, and respectively acquiring kernel density maps of the land types; and C, calculating a kernel density average value of the single building by using the CNN based remote sensing image building information extraction result and the kernel density maps. The method is easy to implement and simple and convenient to operate, effectively solves a problem that semantic-level building function classification and recognition are difficult to realize by using a remote sensing information extraction technology, is high in precision of function classification for the city buildings, can provide dynamic data of city functional area classification for relevant departments quickly and accurately and serves for city management and reasonable planning.

The invention provides an urban disaster thematic map real-time generating method based on network information. The method comprises the following steps that S1, the urban disaster information is obtained from networks in real time; S2, the urban disaster information is subjected to automatic place name recognition and is then subjected to spatial orientation; S3, the semantic mapping technology based on space time correlation rules is applied, and the urban disaster information subjected to the spatial orientation is subjected to semantic parsing; S4, the urban disaster information subjected to the semantic parsing is subjected to spatial data mining with graphic correlation, and the urban disaster thematic data with graphic spatial correlation is generated; S5, the urban disaster thematic data are subjected to visual representation, and an urban disaster thematic map is generated. The urban disaster thematic map real-time generating method has the advantages that the urban disaster information can be obtained in real time, the obtained urban disaster information is subjected to intelligent mining, the urban disaster thematic map is quickly generated and dynamically issued, and the quick generation and dynamical issuing level of the urban disaster thematic map is improved, and service is provided for urban management and emergency relief.

The invention relates to a GIS-based smart city management special vehicle monitoring system, which takes an LBS system as a framework and a browser as a display platform. The system comprises a real-time monitoring service module, which provides positioning parameters for a historical track service module and a work and rest monitoring service module; the historical track service module, which can present the historical driving tracks of special vehicles on a digital map; a statistical analysis module, which can search historical boundary-crossing information of the special vehicles; and an electronic fence service module, which can carry out driving restriction on the special vehicles in some area, and can manage the special vehicles conveniently. The GIS-based smart city management special vehicle monitoring system realizes real-time monitoring of the special vehicles, facilitates to carry out basic data monitoring and command and dispatch on the special vehicles during city management, can present and display the historical driving tracks of the special vehicles, can trigger an alarm when the special vehicles cross boundaries, and can improve level of informatization of a supervision department and reduce management cost.

The invention provides a smart city management system based on a cloud platform, and the system comprises: an infrastructure layer which is used for providing a system data access service and city resource data collection, and storing the city resource data in a data sharing layer in real time; a basic service layer which is used for developing and operating a platform as a service to be providedfor a user; adata sharing layer which is used for gathering various basic service system data to form massive traffic data, forming a comprehensive information sharing database by utilizing a cloud computing big data processing technology, breaking through information island limitation and realizing data gathering and sharing; an application integration layer which comprises application managementand application configuration management; and a cloud service platform which is used for performing security analysis through an application program interface and a communication network according tothe acquired data of the infrastructure layer. Data in all fields of city management are analyzed and interacted through the cloud technology, modular integrated management of the smart city is achieved, all modules are clear in function, management is more reasonable and perfect, multiple services needed by residents in the smart city can be provided, the life quality of the residents can be improved, and construction of the smart city is facilitated.

The invention relates to the field of management technology for a smart city. The embodiment of the invention provides a waste management system for a smart city. The waste management system for the smart city comprises a plurality of dustbins and waste monitoring centers, wherein each dustbin is equipped with a sensor unit, a positioning unit, and a controller unit. The sensor unit is used to detect the waste information in the dustbin, the positioning unit is used to determine the positioning information of the dustbin, and the controller unit is used to upload the positioning information and the waste information to the waste monitoring center. The waste monitoring centers are used to perform the following operations of: determining whether each dustbin meets inspection conditions according to the waste information; determining points to be inspected based on the positioning information of the dustbins satisfying the inspection conditions; and generating an inspection path for a waste truck based on the points to be inspected. Therefore, a waste information map of the entire city can be controlled, and the waste status of the dustbins can be recorded and analyzed in real time. The inspection path of the waste truck can be adjusted and planned in real time, and manpower inspection costs can be scientifically and reasonably saved.

The invention relates to a hybrid depth learning model LSTM-ResNet based metropolitan space-time flow prediction technology. The invention can accurately predicting the change of urban spatio-temporaldata stream so as to provide important reference for urban management, and the key is to extract spatio-temporal dependency features from the data effectively. Currently, convolution neural network,which has been applied to spatio-temporal flow prediction, focuses on the extraction of spatial correlation features, ignoring the temporal dimension dependency and spatio-temporal correlation features. In depth learning model, long and short memory network (LSTM) is suitable for dynamic modeling of time series, and residual convolution network (ResNet) is suitable for large-scale spatial correlation feature extraction. Therefore, we combine LSTM and ResNet to construct a hybrid depth-learning model for spatio-temporal flow prediction: LSTM is used to consider the time dependency before and after, and filter out the invalid time features; the output of LSTM is inputted into ResNet and the spatio-temporal correlation feature is extracted. The model can automatically and accurately capture spatio-temporal correlation features, especially retaining valid temporal features when considering forward and backward dependencies.

The invention provides an urban intelligent manhole cover system. The urban intelligent manhole cover system comprises a manhole cover, a manhole cover detector installed on the manhole cover, a basestation and a monitoring center; and the manhole cover detector comprises an MCU and a detection module, a lock module, an alarm module, a power supply module, a wireless communication module and an identity identification module which are connected with the MCU, and the base station and the monitoring center achieve communication through the Ethernet or a CDMA network. The invention provides a management method of the urban intelligent manhole cover system on the basis of the urban intelligent manhole cover system. The urban intelligent manhole cover system and the management method have theadvantages that on the basis of Internet-of-Things technologies such as the sensor technology, the geographic information technology and the computer network technology, the intelligence, networking and spatial visualization of urban manhole cover management are achieved, the manhole cover management mode is innovated, resource sharing is achieved, the urban management efficiency is improved, andthe urban management level is increased.

The invention provides an intelligent sponge city flood forecasting method, which belongs to the technical field of city management, and comprises the following steps: constructing a research area plane calculation grid; determining a hydrological hydrodynamic time history continuous calculation time interval between the grids; extracting high spatial resolution grid elevation and land utilization/coverage information; assigning values to the grid precipitation time history data; assigning values to the grid production and confluence parameters; taking the grid elevation, the land utilization/coverage information and the rainfall and runoff production and confluence parameters as a model operation database, integrating a hydrological hydrodynamic theory, and constructing a hydrological hydrodynamic model by using the method; verifying the hydrological hydrodynamic model; and based on the simulation result of the hydrological hydrodynamic model, performing basin runoff production and confluence and flood disaster prediction. According to the method, the urban flood problem can be quickly, intelligently and flexibly dealt with by realizing real-time quick forecasting of rain conditions and water conditions, real-time quick forecasting of urban flood, intelligent regulation and control of a water system and refined management.

The invention provides a smart city big data management system, and relates to the technical field of smart cities, and the system comprises: a big data center station which is used for collecting city big data provided by city infrastructures, carrying out the preprocessing of the city big data to obtain preprocessed big data, and storing the preprocessed big data to form a city brain database; acollaborative sharing platform which is used for carrying out capacity encapsulation and protocol adaptation on the capacity components, abstracting the capacity components into atomic energy, and providing services to the outside through an open communication interface so as to support business applications of different technical systems to call and interact with the preprocessed big data; and an auxiliary decision application which is used for carrying out artificial intelligence analysis according to a pre-generated adaptive decision analysis engine set and the preprocessed big data, and displaying an analysis result to an urban manager through an urban instrument panel so as to monitor an urban operation state in real time and provide technical support for decision making of the urbanmanager. According to the invention, the city can self-discover problems to the greatest extent and assist in solving the problems.

The invention provides a vehicle parking behavior recognition system for urban environment based on machine vision. Monitoring equipment collects video images, the collected video images are accessedto an intelligent video analysis server to decode and display, user rules are set, then the area to be monitored in the video images, namely the detection area of a vehicle, is selected manually, andthe threshold value of vehicle parking time is set; according to video data in the monitoring area, vehicle detection is carried out by using a target detection algorithm to obtain accurate vehicle location information; meanwhile, the detected vehicle is tracked to obtain the motion trajectory of a vehicle object; according to motion trajectory information of the vehicle object, vehicle behavior is analyzed to judge the behavior of the vehicle, if preset rules are met, the alarm is triggered and a license plate number is recognized; otherwise, the current vehicle is filtered out and the next round of vehicle behavior recognition is carried out; and then the purpose of intelligent detection of the vehicle behavior in the fortification area is realized, the labor cost is effectively reduced,and the intelligence level and working efficiency of urban management are improved.

The invention relates to the field of monitoring systems, in particular to a digital city management system. The system fully utilizes the existing network resources, public security and city management video monitoring resources, and the like to establish a unified digital city management platform, thereby obtaining an integrated management platform capable of integrating geocoding, video monitoring and GPS positioning into a whole and integrating inspection, treatment and supervision into a whole. Thus, hardware, software, geocoding, population information, house information, operating main body information and the like are centrally constructed on the city-level platform, and the street (village and town) secondary control center, relevant leaders and relevant departments are connected to the platform through the government intranet; and the secondary control center mainly constructs large monitoring screens, computer terminals, mobile phones for city management, installation or access of video monitor signals, vehicle-mounted GPS and the like according to the self demands.

The invention discloses an intelligent parking management system based on a cloud server and belongs to the technical field of smart cities. The intelligent parking management system comprises an intelligent parking management cloud platform based on the cloud server as well as a parking management mobile terminal and a parking lot control system in communication connection with the intelligent parking management cloud platform; entrance and exit vehicle license plate recognition equipment, parking locks and parking space geomagnetic detectors of the traditional parking lot are accessed to thecloud by virtue of a network, so that unmanned management at entrances and exits of the traditional parking lot, charge management on a few dispersed parking spaces and unmanned management on inside-road parking are realized, the traditional parking service is also fused into new commerical activities and new services such as sharing economy, more humanized parking space sharing and parking spaceon-time rental services are provided for parking users, smart city management services such as city level unified parking management, unoccupied parking space information publishment and parking guidance are provided for a city management department, stresses at the entrances and exits of the parking lot are effectively relieved, and intelligence of the parking lot is improved.

The invention provides a street view data acquisition and measurement method. The street view data acquisition and measurement method comprises the following steps: providing vehicle-mounted street view data acquisition system, wherein the vehicle-mounted street view data acquisition system comprises a three-dimensional laser scanner, a GNSS/IMU (Global Navigation Satellite System/Inertial Navigation Unit) integrated positioning and attitude determination system and a panoramic camera; acquiring point cloud data by utilizing the three-dimensional laser scanner; acquiring time position and attitude data by the GNSS/IMU integrated positioning and attitude determination system in real time; acquiring panoramic image data carrying positions and attitudes by adopting the panoramic camera; resolving the point cloud data and fusing the point cloud data with the time position and attitude data to obtain WGS84 geodetic coordinate system laser point cloud of a ground object; matching the point cloud data with the panoramic image data; establishing three-dimensional model data according to the WGS84 geodetic coordinate system laser point cloud and the panoramic image data carrying the positions and the attitudes. The system provided by the invention can be widely applied to the fields including three-dimensional digital cities, urban management component surveying, expressway reconstruction and expansion, transportation infrastructure construction measurement, three-dimensional measurement of mines, navigation channel embankment measurement, three-dimensional measurement of island reef shorelines and the like.

The invention provides a monitoring method and a monitoring system, which can monitor city parts automatically and find city management related events automatically. The monitoring system is used for monitoring the city parts and comprises a sensor, a collector, a processor, a communication module and a monitoring platform, wherein the collector, the processor and the communication module are all in one-to-one correspondence to the city parts. The sensor is used for monitoring working conditions of the city part corresponding to the sensor, and the collector is connected with the sensor and used for collecting the working conditions of the city part monitored by the corresponding sensor. The processor is connected with the collector and used for generating monitoring information of the city parts according to the obtained working conditions and pre-fetched identification of the city parts. The communication module is connected with the processor and used for sending monitoring information. The monitoring platform is connected with the communication module and used for monitoring the working conditions of the city parts according to the monitoring information.

The invention discloses an urban waterlogging early warning system based on a weather and rainfall flood model. The urban waterlogging early warning system comprises an Internet of Things data acquisition end, a data processing system, a data processing cloud platform module, a weather data storage and analysis system, an early warning publishing module and a decision scheduling module. According to the invention, real-time early warning and monitoring of rain conditions, water conditions, working conditions and disasters can be realized, and real-time interaction of flood prevention business working conditions can be realized; besides, the remote monitoring of the operation of the pump gate station provides decision support for management work such as monitoring and early warning, flood prevention scheduling, post-disaster reconstruction and the like, so that the emergency capacity of urban management departments for coping with pipeline fracture, rainfall flood waterlogging and other crisis events is improved, and the stable operation of a drainage system is ensured.

The invention provides a city management method, a device and an electronic device. The method comprises the following steps: receiving a video stream collected by an image acquisition device in an image acquisition area of the image acquisition device, and detecting behavioral characteristics of each person in a multi-frame image of the video stream; and detecting the behavioral characteristics of each person in a multi-frame image of the video stream, detecting a target face image of an illegal person in an image frame of the illegal person whose behavior characteristics match with preset illegal behavior characteristics, and determining identity information of the illegal person based on the target face image; searching an illegal record and a historical punishment decision corresponding to the identity information of the illegal person in a preset illegal information database, and generating a current punishment decision based on the illegal record and the historical punishment decision; dispatching dispatchable law enforcement personnel to the image acquisition area to conduct law enforcement management of the offender in accordance with the current penalty decision. The invention can improve the efficiency of urban management, and save manpower and material resources.

The invention discloses an edge AI computing cluster based on edge micro-container cloud. The cluster is applied to the technical field of edge computing, artificial intelligence, cloud computing and5G communication, and aims at solving the problem that in the prior art, the real-time comprehensive analysis requirements of city management for multi-mode, full-time-period, full-target, full-background, full-tracking, full-cognition and whole-domain (whole city) data of the data are difficult to meet. According to the method, by constructing the edge micro-container cluster and the edge AI computing cluster, the computing tasks are automatically split and combined, so that computing resources of the edge cluster are utilized to the maximum extent. Meanwhile, the task execution efficiency isgreatly improved in a parallel computing mode, and centralized training and distributed deployment of the model can be realized at the total cloud through a multi-level cloud architecture.

The invention relates to an urban management video processing system and an operating method thereof. The urban management video processing system comprises an application layer, a video centralized management service module, a centralized management server, cameras and data management server, a video surveillance subsystem server, a relational database management system, a spatial data engine, a GIS database and the like. The urban management video processing system and the operating method thereof have the beneficial effects that: the urban management video processing system adopts a method of calling the centralized management server by triggering a general SDK, information acquired by the cameras of a corresponding brand managed by the centralized management server can be directly called when a user needs to check information of a specific video point, and a video management system with the advantages of higher intelligentization, good interactive performance, fast development, uniform maintenance and high resource integration degree.

The invention discloses an internet-of-thing router, which comprises a central router, a smart home end, a smart city end, an intelligent logistics end and an intelligent payment end, wherein the smart home end, the smart city end, the intelligent logistics end and the intelligent payment end are connected with the central router. The smart home end comprises an intelligent household appliance system, an environment sensing system and a security system. The smart city end comprises an internet-of-thing digital application module and a data processing module, wherein the data processing module is used for processing the data and then, uploading the data to a cloud end for data sharing. The intelligent logistics end comprises a distribution module, an information acquisition module and a logistics monitoring module. The intelligent payment end comprises a shopping information server, a client communication terminal and a purchase communication terminal, wherein the shopping information server and the client communication terminal are connected through a network. The internet-of-thing router can realize a remote control and monitoring function of a digital home through a mobile client, can improve sequential delivery capability of cargos based on an intelligent city internet-of-thing transport mode, and is more efficient in information acquisition and lower in cost in city management process.

The invention discloses a method for rapidly acquiring abnormal land, which comprises the following steps of: (1) importing an image; (2) performing registration and fusion/orthorectification on the image; (3) selecting a change detection method; (4) extracting change polygons of newly increased construction land; and (5) extracting the abnormal land. A geographic information platform serves as a basis, a 3S technology serves as a core, a remote sensing image analysis and information extraction algorithm is combined, so that comparative analysis between multi-time-phase remote sensing image data and among the remote sensing image data, urban planning and planning approval results is realized, and conditions which do not accord with the planning in urban construction are timely mastered. Therefore, the urban planning monitoring and urban management are served through measures of checking, reporting, statistic analysis and the like.

A smart city management system integrates the computer technology, the wireless communication technology, the Internet of things and the cloud technology, and fuses city management, public services, transportation, health care and other technologies. The service of a smart city is divided into a visit layer, an access interaction layer, a scheduling service layer and a data interface layer. Each layer provides interface encapsulation service for the upper layer and calls the interfaces of the lower layer, so that problems can be found easily. Different industries are encapsulated and packed, so that expansion of the function and service of each layer is facilitated. The architecture of each layer can be debugged independently. The traditional mode of system management software and network service layered service subcontracting is simplified and is not limited to specific data flow direction, so that high flexibility is achieved.