18 results about "Urban network" patented technology

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 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 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 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 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.

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.

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 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 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 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).

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.

The application provides a city network flow prediction method and system based on covariate interaction and graph enhancement, and belongs to the field of mobile communication network flow prediction. The method comprises the following steps: acquiring city cellular network flow data and multi-source covariate data, and constructing a multi-source data set; obtaining a unified feature set through a linear mapping layer; constructing a bidirectional interaction path based on the feature set, and obtaining bidirectional interaction features through a cross attention mechanism; weighting and fusing various covariate features through an attention mechanism to obtain covariate fusion features; dynamically constructing an adjacency matrix according to a flow state, extracting spatial dependence features and long-term time sequence features, and obtaining final space-time features; and inputting the final space-time features into a multi-layer perception machine to output network flow prediction results. The application can accurately depict time-varying spatial dependence between city regions, and improves the precision and stability of city cellular network flow prediction.

The application discloses a trust fusion and collaborative management system for double-intelligent city dumb terminal access, and belongs to the technical field of city network security. A multi-dimensional perception fusion module bypasses to collect dumb terminal traffic to construct a behavior characteristic vector, and a lightweight detection is used to identify terminal attributes and service roles. A service adaptive trust fusion module performs multi-dimensional trust fusion evaluation, inputs identity compliance state, comprehensive behavior deviation level and a scene correction factor obtained from a city data platform into a three-dimensional coupling evaluation matrix decider, and outputs a final trust decision. A decision execution and collaborative evolution module issues network management strategies according to the decision result, and offline mines business rules and incrementally updates a baseline model. The application deeply fuses city business logic, avoids disconnection between security strategies and actual business risks, and realizes fine and dynamic management and control of dumb terminals under the condition of no terminal agent.

This invention discloses a low-altitude flight system with an inverted checkpoint flight path powered by a gravitational potential energy battery, belonging to the fields of low-altitude economy and eVTOL aircraft technology. This invention overcomes two major bottlenecks in the current low-altitude industry, abandoning the traditional technical route of existing eVTOL aircraft relying entirely on onboard chemical batteries to counteract gravity. Instead, it utilizes the natural altitude difference of urban areas to construct a natural gravitational potential energy battery. Through external auxiliary power from the municipality, the aircraft climbs to accumulate gravitational potential energy, maintaining gliding with powered attitude to complete the main commuting and logistics flight journeys. At the end of the flight, it quickly switches to the conventional eVTOL vertical takeoff and landing mode for a smooth landing. The entire system consists of two standardized units: a dedicated low-altitude flight vehicle and a standardized containerized takeoff and landing power supply cabin three meters above the ground. A pre-tensioner assembly ensures safe power supply and automatic cable retrieval during the aircraft's climb phase. The system uses a base flight altitude of 2,000 meters, which can be flexibly adjusted. It employs a fixed 45-degree climb angle, a 10:1 fixed glide ratio, and an inverted checkpoint dedicated flight path architecture. Combined with an artificial intelligence model, it achieves intelligent airspace scheduling and fully automated takeoff and landing control of the aircraft. This invention employs a closed, isolated takeoff and landing mode at a height of three meters above the ground, completely avoiding the safety hazards caused by the mixing of ground and air traffic spaces. It features low overall energy consumption, controllable maintenance costs, and the ability to achieve affordable pricing for low-altitude travel after large-scale operation. The solution perfectly addresses the pain points of commuting in mountainous cities, effectively alleviating traffic pressure on core urban roads. It also possesses the practical capability to replace ring-city rail transit in megacities, opening up low-altitude travel channels between suburban areas and the main urban area. Based on a lightweight, modular deployment model, it is easily mass-produced and deployed in urban networks. It aligns closely with national policies supporting the development of the low-altitude economy and reducing overall social travel and logistics costs, possessing extremely high urban application value and commercialization prospects.