8 results about "Urban system" patented technology

The invention provides an urban carbon emission optimization model algorithm aiming at the urgent demand of green and low-carbon transformation of an urban industrial structure. According to the algorithm, a multi-agent model comprising a public management mechanism agent and an enterprise agent is constructed based on a complex adaptive system theory. The core lies in that an evolution path of urban carbon emission and industrial upgrading is dynamically deduced by simulating an adjacent learning effect between enterprises and a regulation and control mechanism of a public management mechanism based on a pre-decision. The enterprise agent decides the output value speed increase and the carbon emission intensity change rate according to the self state, the surrounding enterprise state and the public management mechanism predetermined target; and the government agent formulates and adjusts industry and emission reduction policies according to the overall goal of the city and enterprise pre-decision. According to the invention, through dynamic coupling of the microscopic enterprise decision and the macroscopic city system, low-cost and high-efficiency simulation and optimization of the city carbon emission path under different target scenes are realized, and a scientific quantitative analysis tool is provided for city carbon emission.

This invention relates to the field of smart city safety and emergency management technology, and provides a method and system for urban data fusion event early warning. The method includes: constructing a physical environment time-series dataset, an urban facility asset dataset, and an API call behavior log dataset; constructing a dynamic digital twin graph based on the aforementioned datasets; using the dynamic digital twin graph and the physical environment time-series dataset, applying a sliding time window anomaly detection mechanism to locate initial risk triggering nodes, performing graph traversal search to construct a set of potential risk propagation paths, and using a chain probability model to quantitatively evaluate and generate a set of early warning events; based on high-risk events, calling a natural language generation function to match the optimal emergency plan from an emergency plan knowledge base, visualizing the early warning scenario in conjunction with the natural language early warning message, and parsing the optimal emergency plan to generate scheduling instructions. This invention constructs an event early warning and response mechanism for urban systems, applicable to smart city early warning and emergency management.

The invention discloses an urban system toughness dynamic measurement method and device, equipment, a medium and a product, and relates to the field of urban disaster management and risk assessment, and the method comprises the steps: obtaining toughness index data and disaster environment data of a target city; determining an initial rainstorm impact index according to the disaster environment data; constructing a toughness index system according to the toughness index data and the initial rainstorm impact index; calculating a weighted comprehensive index of each toughness dimension according to each toughness index value under each toughness dimension to obtain a plurality of toughness attribute parameter values; according to the toughness attribute parameter values, a parameterized gamma family recovery function model is adopted to simulate system performance changes after the target city is subjected to disaster impact, and a dynamic performance recovery curve is generated; and calculating a dynamic toughness quantized value and recovery time of the target city based on the dynamic performance recovery curve. According to the method, dynamic simulation of the whole process of'impact-response-recovery 'can be carried out on the city, and the accuracy of city toughness measurement is improved.

The application discloses a kind of urban system resilience dynamic measurement method, device, equipment, medium and product, it is related to urban disaster management and risk assessment field, the method comprises: obtaining the resilience index data and disaster environment data of target city;According to disaster environment data, determine initial storm impact index;According to resilience index data and initial storm impact index, construct resilience index system;According to each resilience index value under each resilience dimension, the weighted comprehensive index of each resilience dimension is calculated respectively, obtain multiple resilience attribute parameter values;According to each resilience attribute parameter value, using parameterized gamma family recovery function model simulates the system performance change of target city after suffering disaster impact, generates dynamic performance recovery curve;Based on dynamic performance recovery curve, the dynamic resilience quantitative value and recovery time of target city are calculated.The application can carry out dynamic simulation to the whole process of "impact-response-recovery" of city, improve the accuracy of city resilience measurement.

The application discloses a kind of urban system simulation model coupling method, equipment and product based on disaster chain, which comprises the following steps: collecting city related data, water disaster related data;City related data is classified according to different city system types, and the first modeling data of different types of city system is obtained;Water disaster related data is classified, and the second modeling data related to water disaster affecting the operation of different types of city system is obtained;According to the first modeling data and / or second modeling data of different types of city system, different types of city system model are constructed;Disaster chain analysis is carried out on water disaster related data, and the disaster chain of each type of water disaster is determined;Coupling is carried out on city system model and the disaster chain of each type of water disaster, and the city system disaster simulation model of the disaster chain of fusion composite water disaster is generated;The application considers the disaster chain of composite water disaster to carry out city system simulation model coupling, which can improve the accuracy of composite water disaster prediction faced by city.

This invention provides a method for dynamic urban renewal based on deep reinforcement learning, relating to the field of urban renewal. The method includes: step S1, data acquisition; step S2, state prediction; step S3, hierarchical decision-making; step S4, execution feedback; and step S5, iterative optimization. Hierarchical decision-making, based on the urban state data in step S1 and the predicted state in step S2, implements hierarchical update schemes for macro-level, meso-level, and micro-level intelligent agents. This method transforms urban renewal from a one-time static planning process to dynamic adaptive decision-making that evolves with the urban system, thereby achieving dynamic adaptation of infrastructure and public services and avoiding negative impacts such as environmental damage, facility idleness, resource waste, and increased costs caused by mismatch.

The application provides a kind of urban system earthquake disaster resilience dynamic measurement method, system, equipment and medium, belong to urban risk management and disaster prevention planning technical field.The method includes: constructing the earthquake disaster resilience multilayer network model comprising multiple network layers corresponding to different urban subsystems to represent the dependence relationship within the system and across systems;Based on the topology and real-time state data of the model, the comprehensive resilience index is dynamically calculated, which is obtained by integrating the three-dimensional index set of function synergy degree, structural stability and resource potential;Based on the comprehensive resilience index, the resilience critical threshold is determined using the prediction model and threshold determination technology;Finally, by comparing the real-time or predicted resilience index with the critical threshold, the intelligent early warning of resilience level is realized, and the decision support is generated based on the network model analysis.The application realizes the transformation of urban earthquake disaster resilience from static evaluation to dynamic real-time monitoring, and solves the problem of existing method system isolation and model simplification.

This invention discloses a method for predicting carbon emissions in urban systems based on input-output analysis and Bayesian neural networks. The method includes: determining the carbon emissions of each sector in the city; calculating a carbon emission input-output table; identifying key carbon-emitting sectors and major energy consumption factors; calculating the economic share and energy consumption factors of these sectors; establishing an urban carbon emission prediction model considering economic development and energy consumption; designing high, medium, and low future scenarios based on historical data of key carbon-emitting sectors and energy consumption factors, as well as the city's future development plan; solving the coupled model; quantifying the impact of different scenarios on urban carbon emissions; and determining under what development model the city's carbon emissions can meet predetermined requirements. This invention introduces a reasonable and scientific analytical prediction model into the urban energy and economic system, providing more effective technical support for the generation of decision-making solutions.