34 results about "Urban network" patented technology

The invention discloses a large-scale urban network multi-agent traffic simulation prediction method, and relates to the technical field of traffic simulation prediction. The method comprises the following steps: constructing a multi-agent city network model; processing and analyzing traffic demand data; urban network traffic flow distribution; constructing a vehicle driving model; urban network traffic monitoring and feedback; and iterating the simulation scheme. The travel demand data is processed by receiving the travel demand, the traffic path is allocated to the vehicle agent by using the classic user balance model, the vehicle agent simulates the driving behavior according to the car-following model and the lane changing model, and data support is provided for the vehicle agent to select the path according to the traffic flow macroscopic parameters fed back by the road section agent. And the simulation precision and the prediction reliability of the traffic flow are improved by utilizing the simulation of the multi-agent.

The invention discloses a digitalization method of an urban safety risk assessment standard, which comprises the steps of identifying risk factors for historical accident time sequence data, performing correlation analysis to obtain a correlation function, further constructing an urban network topology structure, determining a prior probability of a node according to the similarity of the node and pre-disaster data, and determining the probability of the node according to the prior probability of the node. Generating a simulated accident scene, adding a disturbance item to simulate an emergency risk, combining with the prior probability of the nodes to obtain a risk propagation path, constructing a risk assessment model, assessing the space-time influence range of the nodes on the propagation path, and performing weighted summation on the assessment results of the nodes to obtain an urban safety risk assessment result. According to the method, a network topology structure is constructed by multi-stage analysis of historical accident data, so that risk propagation simulation is more accurate, urban risk assessment can be accurately quantified, and meanwhile, the method has relatively good interpretability.

The invention discloses a one-code interconnected city governance optimization method and system based on space-time identification. According to the method, city grids are dynamically divided based on city granularity requirements to obtain city networks, scene semantic annotation is performed based on space-time attitude parameters of the city grids and moving tracks of entities in the city grids, and digital identity codes are distributed to the entities based on scene semantic annotation results and time dimensions of the city grids; events in each city grid are dynamically processed based on a scene semantic annotation result, data cleaning is carried out based on abnormal screening parameters of historical city operation data, and early warning is carried out based on the cleaned historical city operation data and real-time city operation data; the corresponding entity information is updated in real time based on digital identity code scanning, the entity information is fused through the digital identity codes, a city operation holographic portrait is generated and output, and a novel data-driven, dynamically-optimized and holographic visual city governance mode is constructed.

The invention discloses an urban trunk network-oriented reconfigurable quantum communication route synchronization system, which relates to the technical field of quantum communication and comprises a quantum channel state sensing module, a clock offset prediction and registration module, a reconfigurable route planning engine, an entangled state registration and regulation module, a synchronization instruction scheduling module and an optimization module. According to the system, de-coherence time, entanglement fidelity and synchronous offset risk of a quantum link are sensed in real time, a quantum link feasibility scoring graph is generated in combination with a graph neural network, and an optimal entanglement forwarding path is output according to the quantum link feasibility scoring graph; meanwhile, the width and rhythm of a transmission window are dynamically adjusted based on task priorities and network loads, and cross-node high-precision synchronization and resource coordination are achieved; a routing and synchronization strategy can be continuously optimized by introducing a communication performance evaluation model and a feedback learning mechanism; according to the invention, the stability of the quantum communication system in a complex urban network environment is significantly improved.

The invention discloses an urban area environment modeling method and system. The method comprises the following steps: acquiring a Fresnel area according to latitude and longitude coordinates of a preset area; extracting environmental parameters influencing radio wave propagation in the Fresnel area according to a radio wave propagation theory; obtaining potential variables in the Fresnel area according to a preset algorithm; inputting the environmental parameters and the potential variables into a preset prediction model to obtain a path loss prediction result; through the method, precise prediction of a point-to-point large-scale channel in a dense urban area environment is realized, and an output prediction result can be applied to urban network planning and optimization; the system also has the same beneficial effects.

The invention provides a quantum enhanced real-time multi-mode traffic network optimization method and system, and belongs to the technical field of intelligent traffic control and optimization. Comprising the following steps: carrying out edge calculation and preprocessing on multi-source motion data in a traffic network to generate traffic state characteristic data; a quantum calculation model is adopted to generate signal schemes for different traffic control targets; constructing a digital twinborn model to verify the signal scheme; converting the verified signal scheme into a traffic signal control instruction, and issuing the traffic signal control instruction to a traffic signal controller; and continuously monitoring the traffic condition, and feeding back the monitoring result to the quantum calculation model so as to adjust the signal scheme in real time. According to the method, the multi-mode traffic flow can be coordinated efficiently in real time in a large-scale urban network, the emergency quick response and closed-loop self-adaption capabilities are achieved, and the actual requirements of the future smart city and vehicle road collaborative development can be met.

The invention discloses an urban network security multi-dimensional monitoring management system and method, and the system comprises threat sensing probes which are disposed at a monitored urban network unit center and each node bypass, and are used for carrying out the threat detection processing; the full-flow collector is deployed in a monitored urban network unit center and each node bypass and is used for evidence obtaining and source tracing processing; the threat sensing system is used for performing centralized management on the threat sensing probe and the full-flow collector of each node; the centralized management comprises unified monitoring, unified management, unified upgrading, centralized strategy issuing, threat analysis and threat hunting. Therefore, each security product is prevented from combating independently, centralized management is realized, threat detection capability is improved, tracing is realized, efficient management of various security products is realized, and multi-dimensional monitoring management of urban network security is realized.

The invention discloses a smart city-oriented multi-modal data transmission optimization method. The method comprises the following steps of collecting and preprocessing multi-modal original data generated in a city; performing joint feature extraction by using an improved CorrNet network and outputting an importance label; collecting operation data and carrying out regular analysis on the urban network to generate network state information; the multi-modal features, the importance labels and the network state information are associated and analyzed, and a coding control instruction is generated; performing differential compression and coding processing on the multi-modal data to generate a to-be-transmitted data queue; path calculation and resource allocation analysis are carried out, and a scheduling control instruction is generated and implemented through a tabu search method; and generating and uploading a transmission performance evaluation result based on the feedback index and the network state information. According to the method, multi-modal feature extraction, differential coding and intelligent scheduling technologies are fused, efficient and reliable transmission of urban data is realized, and the method has the advantages of high accuracy, controllable time delay and high resource utilization rate.

The invention discloses a power distribution control method and system based on an urban network, and relates to the technical field of power distribution control, and the method comprises the steps: monitoring the operation parameters of a power grid in a governed power distribution region in real time at an edge calculation terminal disposed at the edge side of a power distribution network; and when it is monitored that the power grid operation parameters are abnormal, determining fault occurrence and a specific position of a fault section based on a preset fault diagnosis model. According to the method, the edge computing terminal is deployed on the edge side of the power distribution network, real-time monitoring of the operation parameters of the power grid in the jurisdiction area is achieved, when the parameters are abnormal, the fault section can be rapidly positioned by means of the preset fault diagnosis model, the fault response speed is greatly improved, and the problem that decision-making time is long in a traditional centralized master station mode is solved. The edge computing terminal can directly generate an instruction isolation fault, and the fault range is prevented from being expanded.

The application discloses a reconfigurable quantum communication route synchronization system for urban trunk network, relates to the technical field of quantum communication, and comprises a quantum channel state perception module, a clock offset prediction and registration module, a reconfigurable route planning engine, an entangled state registration and regulation module, a synchronization instruction scheduling module and an optimization module; the system perceives the decoherence time, entanglement fidelity and synchronization offset risk of a quantum link in real time, generates a quantum link feasibility score map in combination with a graph neural network, and outputs an optimal entanglement forwarding path accordingly; meanwhile, the transmission window width and rhythm are dynamically adjusted based on the task priority and network load, high-precision synchronization and resource coordination across nodes are realized, the communication performance evaluation model and feedback learning mechanism are introduced, and the route and synchronization strategy can be continuously optimized; and the application significantly improves the stability of the quantum communication system in a complex urban network environment.

The application discloses a kind of urban network security multidimensional monitoring management system and method, comprising: threat perception probe, deployment is in the center of the unit of the monitored city network and each node bypass, for threat detection processing;Full-flow collector, deployment is in the center of the unit of the monitored city network and each node bypass, for evidence tracing processing;Threat perception system is used to the threat perception probe and full-flow collector of each node are centrally managed;The centralized management includes unified monitoring, unified management, unified upgrade, centralized strategy issue, threat analysis and threat hunting. Avoid each security product fight each other, and then centralized management, improve threat detection capability, trace source, realize the efficient management of multiple kinds of security products, and multidimensional monitoring management is carried out to city network security.

The invention provides an urban network optimization wiring method and system based on a digital technology, and the method comprises the steps: collecting signal distribution information, network line demand distribution information and a permitted wiring range of an urban region, and generating an interference signal distribution diagram of the urban region; generating an initial network cabling diagram of the urban area through a network cabling model, and optimizing to obtain an initial target network cabling diagram of the urban area through a line optimization network based on the interference signal distribution diagram and the permitted cabling range; and analyzing a wiring evaluation value of the initial target network wiring diagram through a wiring evaluation strategy, iteratively optimizing each network line when the wiring evaluation value is lower than a wiring evaluation threshold, and taking the initial target network wiring diagram obtained by the last iteration as a target network wiring diagram. By adopting the scheme, the optimization effect of urban network cabling can be improved.

The application discloses a one-code interconnection city management optimization method and system based on space-time identification. The method dynamically divides city grids based on city granularity requirements to obtain each city network, performs scene semantic labeling based on the space-time posture parameters of each city grid and the running track of each entity in the city grid, and allocates a digital identity code to each entity based on the scene semantic labeling result and the time dimension of each city grid. The method dynamically processes events in each city grid based on the scene semantic labeling result, performs data cleaning based on the abnormal screening parameters of historical city operation data, and performs early warning based on the cleaned historical city operation data and real-time city operation data. The method scans the corresponding entity information based on the digital identity code, fuses each entity information through the digital identity code, generates and outputs a city operation holographic portrait, and constructs a new city management mode driven by data, dynamically optimized and holographically visualized.

The present invention discloses a three-remote fault monitoring system and method for distribution automation based on an image database. The monitoring system includes an urban network monitoring server and a rural network monitoring server, both of which are communicatively connected to a distribution network automation dispatching system and an image database. The urban network monitoring server is communicatively connected to an urban network monitoring host, and the urban network monitoring host is respectively communicatively connected to an urban network FTU, an urban network switchgear DTU, and an urban network power consumption load end TTU. The urban network FTU is electrically connected to an urban network infrared monitoring end. The rural network monitoring server is communicatively connected to a rural network monitoring host, and the rural network monitoring host is respectively communicatively connected to a rural network FTU, a rural network substation DTU, and a rural network power consumption load end TTU. The rural network FTU is electrically connected to a rural network infrared monitoring end. The urban network switchgear DTU is respectively communicatively connected to the rural network FTU and the rural network substation DTU. By real-time monitoring of the operation parameters of each node in the urban network and the rural network, the overall operation stability and switching reliability of the distribution network are greatly improved.

The invention relates to the technical field of smart city evaluation, in particular to a smart city evaluation method and system based on artificial intelligence. The method comprises the following steps: acquiring a smart city evaluation index, acquiring a city ground environment image through a satellite image acquisition system, analyzing the city ground environment image, an appearance evaluation index and an appearance index weight coefficient, and generating an appearance characterization value of the smart city; to-be-evaluated city data of the smart city are obtained, the to-be-evaluated city data comprise city network data, city logistics data, city community data and city traffic data, the to-be-evaluated city data, the non-appearance evaluation indexes and the non-appearance index weight coefficients, and non-appearance characterization values of the smart city are generated; and determining the smart city grade corresponding to the to-be-evaluated smart city according to the appearance characterization value and the non-appearance characterization value. The smart city evaluation method and device can improve the accuracy of smart city evaluation.

The present invention discloses a method, device and storage medium for defining the isochronous three-dimensional influence domain of rail transit stations, which relates to the technical field of TOD urban design and influence scope definition of rail transit stations. The isochronous circle layer is defined and the vitality intensity is simulated based on the Urban Network Analysis (UNA) tool; based on the operation of service scope indicators, the isochronous circle layer is expanded at different speeds of various slow traffic connections, so as to enhance the awareness of traffic accessibility and weaken the value difference caused by far and near distances, thereby guiding the integration of scattered urban resources; from the perspective of comprehensive connection, multiple urban elements such as traffic, function and space are systematically integrated, and corresponding weight assignment and addition can be carried out to simulate the vitality intensity in UNA; based on the expansion of the isochronous circle layer and the integration of comprehensive connection elements, the research scope is extended to adjacent stations, forming a multi-station linkage mechanism guided by the isochronous circle layer and the integration of slow traffic vitality.

This application discloses a method for optimizing urban ecological networks with uneven blue-green distribution based on a stepping stone system, belonging to the field of ecological network optimization technology. The method includes acquiring ecological data of the study area, using morphological spatial pattern analysis, habitat quality assessment, and landscape connectivity techniques to identify the spatial distribution characteristics of ecological source areas and their uneven blue-green distribution, simulating multi-path ecological flows based on a circuit theory model, and using identified breakpoints that block species migration and obstacles that impede energy flow as stepping stones in areas lacking blue-green space to optimize the ecological network of cities with uneven blue-green distribution. This optimization significantly increases the number of ecological corridors and improves landscape connectivity. This application verifies the landscape connectivity optimization effect through repeated simulations, continuously repairing the breakpoints and obstacles as stepping stone systems for cities with uneven blue-green distribution, to obtain the final optimized ecological network, achieving the optimal selection of the ecological network.

This invention discloses a digital method for assessing urban safety risk standards, including: identifying risk factors from historical accident time series data, performing correlation analysis to obtain correlation functions, further constructing an urban network topology, determining the prior probability of nodes based on their similarity to pre-disaster data, generating simulated accident scenarios and adding disturbance terms to simulate sudden risk, combining these with the prior probabilities of the nodes to obtain risk propagation paths, constructing a risk assessment model, evaluating the spatiotemporal impact ranges of nodes along the propagation paths, and performing a weighted summation of the assessment results for each node to obtain an urban safety risk assessment result. This method utilizes the network topology constructed through multi-stage analysis of historical accident data, making risk propagation simulations more accurate and enabling precise quantification of urban risk assessments while maintaining good interpretability.

The invention belongs to the technical field of intelligent transportation, and particularly relates to an urban online car-hailing order dispatching method in a mixed demand environment based on STGAT-PPO. According to the specific technical scheme, through multi-dimensional state representation and a binary action space, a multi-target reward function fusing fast car response penalty and car-pooling mileage saving is constructed, and autonomous balance of strategies is driven; an order sending model is established in combination with a space-time diagram attention network and a near-end strategy optimization algorithm, the space-time diagram attention network is adopted to extract high-dimensional space-time feature representation of a system state, the near-end strategy optimization algorithm is adopted to learn an optimal strategy on the high-dimensional space-time feature representation, and dynamic regulation and control of a service mode are realized. Based on STGAT-PPO joint modeling, the system senses local supply and demand characteristics in real time, and dynamically switches service modes: car pooling is preferentially carried out to improve transport capacity when supply is insufficient, and fast cars are directly dispatched to guarantee experience when supply is sufficient.

Described are a system and method for assessing seismic resilience of deteriorated railway infrastructure that can assess seismic resilience of railway infrastructure by quantifying resilience according to disaster safety by reflecting a resilience concept of an urban network type and extending to a damage index-based seismic performance assessment based on the quantified resilience, in railway infrastructure such as deteriorated concrete bridges, tunnel structures, and concrete slab tracks, define a correlation between a seismic performance value of deteriorated railway infrastructure and resilience of an urban network by calculating a reliable damage index, quantify and calculate resilience of detailed facilities of the urban network, and link the quantified and calculated resilience with the seismic performance value of the railway infrastructure to calculate a final seismic resilience of the urban network, and furthermore, easily assess resilience of the entire urban network as well as seismic performance / resilience of aged railway infrastructure.

The invention discloses an electricity utilization safety and supply guarantee linkage scheduling method for key power customers of an urban network, particularly relates to the technical field of supply guarantee scheduling of key customers of the urban network, and aims at solving the problems that in an existing urban power distribution network, a key power customer power supply link is not clear, risks are difficult to quantify in time, supply guarantee constraints are difficult to implement in a linkage mode in the whole scheduling process, and the scheduling cost is low. Therefore, the problems of extensive insurance and supply strategies and high possibility of mis-switching and insurance leakage are solved. Power supply link models which are bound with key power customers one by one are constructed on an urban network scheduling platform, and power supply guarantee link operation states and power utilization behavior characteristics are uniformly collected and fused, so that power utilization safety risk indexes and power supply guarantee pressure indexes are generated and solidified into a power supply guarantee linkage constraint set and scheduling influence factors; therefore, in the whole process of operation mode adjustment, load control and fault processing, the power utilization safety and supply guarantee requirements of the key power customers are considered at the same time, mistaken switching and leakage protection situations are reduced, and the power supply reliability of the key power customers of the urban network is improved.

The present invention provides an urban network optimized wiring method and system based on digital technology. The method includes: collecting signal distribution information, network line demand distribution information, and permitted wiring ranges in an urban area, and generating an interference signal distribution map of the urban area; generating an initial network wiring map of the urban area through a network wiring model, and based on the interference signal distribution map and the permitted wiring ranges, optimizing through a line optimization network to obtain an initial target network wiring map of the urban area; analyzing the wiring evaluation value of the initial target network wiring map through a wiring evaluation strategy, and when the wiring evaluation value is lower than a wiring evaluation threshold, iteratively optimizing each network line, and taking the initial target network wiring map obtained in the last iteration as the target network wiring map. Adopting this solution can improve the optimization effect of urban network wiring.

The application provides a quantum-enhanced real-time multi-mode traffic network optimization method and system, and belongs to the technical field of intelligent traffic control and optimization; the method comprises the following steps: performing edge computing and preprocessing on multi-source motion data in a traffic network to generate traffic state feature data; using a quantum computing model to generate a signal scheme for different traffic control targets; constructing a digital twin model to verify the signal scheme; converting the verified signal scheme into a traffic signal control instruction and delivering the traffic signal control instruction to a traffic signal machine; continuously monitoring traffic conditions and feeding back the monitoring results to the quantum computing model to adjust the signal scheme in real time; and the application can efficiently coordinate multi-mode traffic flow in a large-scale urban network in real time, has rapid response and closed-loop adaptive capacity in emergency events, and can meet the actual needs of future smart cities and vehicle-road collaborative development.

The present invention discloses a large-scale urban network multi-agent traffic simulation prediction method, which relates to the technical field of traffic simulation prediction. The present invention includes: constructing a multi-agent urban network model; processing and analyzing traffic demand data; allocating urban network traffic flow; constructing a vehicle driving model; monitoring and providing feedback on urban network traffic; and iterating simulation solutions. The present invention receives travel demand data and processes it, allocating traffic paths to vehicle agents using a classic user equilibrium model. The vehicle agents simulate driving behavior based on a following model and a lane-changing model, and provide data support for the vehicle agents' path selection based on traffic flow macroscopic parameters fed back by the road section agents. Utilizing multi-agent simulation, the simulation accuracy and prediction reliability of traffic flow are improved.

The application discloses a kind of stereoscopic block form space efficiency evaluation methods, it is related to urban renewal technical field, obtains the original map data in given area, extracts the stereoscopic boundary and element of given area from original map data;According to stereoscopic boundary and element, establish stereoscopic block form model and stereoscopic block network block model, stereoscopic block network block model includes the network block model before public area stereoscopic space construction and the network block model after public area stereoscopic space construction;Further, the space efficiency evaluation index of stereoscopic block form is obtained, and the space efficiency evaluation index of stereoscopic block form includes network accessible ratio, block accessible ratio, public space ratio, and space efficiency index.The application realizes the accurate identification of stereoscopic city network and block space.

The present invention provides a method for identifying the spatial organization pattern of a multivariate traffic flow city by integrating map data, comprising the following steps: step S1: obtaining railway, highway and air passenger train data and establishing a relationship matrix; step S2: setting the travel mode and obtaining the time distance of intercity travel; step S3: using the ratio of the number of trains to the time distance as a weight, and comprehensively weighting the railway, highway and air networks to construct a multivariate traffic flow network; step S4: constructing a multivariate traffic flow network community structure detection model based on K-shortest path and hierarchical clustering; step S5: comprehensively integrating the geographic network and the topological network for the community structure, identifying the spatial organization pattern, and deeply exploring the potential correlation structure of the multivariate traffic flow city network. The present invention effectively identifies the spatial organization pattern of the urban network by combining the characteristics that actually affect the traveler's experience and choice, such as the real-time road conditions of the highway, the travel cost of the train or flight, etc.

The utility model provides a modular urban pipe network, which relates to the technical field of modular pipe networks, and comprises a concrete bottom plate, a concrete side plate is fixed at the top of the concrete bottom plate, and a bottom plate top limit moment is fixed at the top of the concrete bottom plate. The construction process is complex and long in time consumption, so that the construction cost is increased, and great inconvenience is brought to daily life and travel of citizens due to long-time road occupation, for example, in a pipe network system without adopting modular design, large-area road excavation is needed even if small-range maintenance work is carried out, and the construction period is shortened. In addition, due to the non-modular design, the quick response under the emergency situation becomes difficult, for example, when leakage or other emergency situations occur, the problem is difficult to position quickly, and effective measures are difficult to take for solving the problem.

The invention relates to a repair clamp (30) on the sleeves used on the joints of the pipes used in the city network lines, characterized in that it comprises two-piece main body (31) having a positioning area (32) fixed directly on the sleeve (20) without the need to close the city network line, fasteners (33) fixing the pipe (10) and the sleeve (20) enclosed in the said two-piece main body (31), a reinforcing flange (35) and a body flange (36) gripping the water-leaking joint edge (21) of said pipe (10) and sleeve (20) from two different regions, and feathers (37) forming resistance against the high pressure to be formed in said reinforcing flange (35) and body flange (36).

The invention relates to a GIS (Geographic Information System)-based method and a GIS-based system for optimizing preset stationing of an urban network distribution station house. The method comprises the following steps of: acquiring station construction related data of the existing network distribution station house in a city; setting a surrounding environment threshold value according to the station building related data; scanning the preset point distribution area by using a GIS technology to obtain a preset point distribution position and corresponding station building related data; performing station establishment analysis on the station establishment related data corresponding to the preset point distribution position to obtain a station establishment analysis result, and obtaining a surrounding environment comprehensive value of the preset point distribution position based on the station establishment analysis result; if the surrounding environment comprehensive value of the preset point distribution position is within the surrounding environment threshold range, marking the preset point distribution position as a station building position; performing multi-angle analysis on the station building position to obtain a multi-angle analysis result; integrating the surrounding environment comprehensive value and the multi-angle analysis result to obtain a station building evaluation value of the station building position, and generating a station building evaluation list; according to the invention, the preset distribution points of the power distribution network houses are reasonably planned, the line loss is reduced, and the structure of the power distribution network is optimized.

This invention relates to the field of network security technology, specifically to a multi-dimensional dynamic risk assessment system for smart city network systems. The system includes an asset topology construction module, a risk calculation module, a business impact quantification module, and a result output and decision support module. The asset topology construction module collects asset attribute information and communication relationships in real time using active scanning tools and passive traffic monitoring devices to construct an asset topology map. The risk calculation module integrates threat intelligence streams and historical security events to calculate the asset vulnerability score and threat probability score for each asset. The business impact quantification module quantifies and calculates the business impact value based on the set of impact propagation paths and in conjunction with business system value assessment rules. The result output and decision support module generates a global risk matrix based on three-dimensional aggregation, outputting a risk heatmap, a risk prediction model, and a priority list of asset hardening recommendations. This invention enables real-time identification, quantitative analysis, and intelligent decision-making regarding smart city risks.