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CN-121998173-A - Environment-friendly transformation decision support system based on civil aviation carbon emission characteristics

CN121998173ACN 121998173 ACN121998173 ACN 121998173ACN-121998173-A

Abstract

The invention discloses a green transformation decision support system based on civil aviation carbon emission characteristics, which comprises a multi-source data fusion module, a core element dynamic optimization configuration model module, a model solving module, a space-time visualization module and a scene simulation and iteration module, wherein the multi-source data fusion module is used for integrating Chinese civil aviation core element data, geographic data and carbon emission data, the core element dynamic optimization configuration model module is used for realizing minimization of a total cost net present value of a system in a planning period through embedding a civil aviation core element dynamic optimization configuration model under a carbon cost view angle, the model solving module is used for solving the core element dynamic optimization configuration model, the space-time visualization module is used for realizing visual display of space distribution of the civil aviation elements and the carbon emission space-time characteristics, and the scene simulation and iteration module is used for automatically updating the model through parameter adjustment and feeding back an optimization result. According to the scheme, the carbon emission reduction targets and the operation benefits can be effectively balanced, the core resource allocation accuracy, the decision response efficiency and the risk resistance can be greatly improved, and the comprehensive technical support is provided for green transformation and efficient operation of civil navigation industry.

Inventors

  • SUN LIANG

Assignees

  • 中国民航管理干部学院

Dates

Publication Date
20260508
Application Date
20260105

Claims (10)

  1. 1. A green transformation decision support system based on civil aviation carbon emission characteristics, comprising: the multi-source data fusion module is used for integrating the core element data, the geographic data and the carbon emission data of the China civil aviation, realizing data alignment through spatial interpolation and time sequence smoothing, and outputting the data alignment in a distance matrix form; The system comprises a core element dynamic optimization configuration model module, a civil aviation core element dynamic optimization configuration model module, a dynamic carbon cost calculation module and a dynamic carbon cost calculation module, wherein the civil aviation core element dynamic optimization configuration model module is used for minimizing the net present value of the system total cost in a planning period through embedding the civil aviation core element dynamic optimization configuration model in the view angle of carbon cost, and the civil aviation core element dynamic optimization configuration model adopts a graph theory network modeling and mixed integer dynamic planning coupling method, wherein the total cost comprises investment cost, running cost and dynamic carbon cost; the model solving module is used for solving the dynamic optimizing configuration model of the core element by adopting a mathematical modeling system tool and outputting the fleet configuration, the route execution frequency and the carbon emission result of each planning period; The space-time visualization module is used for realizing the visual display of space distribution of civil aviation elements and space-time characteristics of carbon emission through a geographic information system tool; and the scene simulation and iteration module automatically updates the model and feeds back an optimization result by supporting parameter adjustment of different carbon policies and demand fluctuation scenes.
  2. 2. The system of claim 1, wherein the alignment of the multi-source data fusion module comprises matching the multi-source data to a spatial grid of a set size, a time stamp of a set time level, and consistency of the spatial-time dimension such that the data coverage is greater than a predetermined threshold.
  3. 3. The green transformation decision support system according to claim 1, wherein the core element dynamic optimization configuration model comprises a dynamic carbon cost calculated by the product of a total amount of carbon emissions and a dynamic carbon price, wherein the dynamic carbon price is determined by a carbon market fluctuation coefficient coupled with a regional emission reduction policy adjustment coefficient.
  4. 4. The green transformation decision support system according to claim 1, wherein the core element dynamic optimization configuration model comprises a multi-dimensional constraint, wherein the multi-dimensional constraint at least comprises a passenger flow balance constraint, a line capacity supply and demand constraint, a fleet month utilization constraint, a crew available flight strength constraint and a regional carbon quota constraint.
  5. 5. The green transformation decision support system according to claim 1, wherein the model solving module is integrated to comprise an adaptive genetic algorithm, and the adaptive genetic algorithm is coupled with mixed integer dynamic programming to improve the solving efficiency of the high-dimensional discrete decision variables, wherein the adaptive genetic algorithm comprises crossover probability and/or mutation probability, and the crossover probability and/or mutation probability is dynamically adjusted according to the fitness value of the core element dynamic optimization configuration model solution.
  6. 6. The system of claim 1, wherein the scene parameters supported by the scene simulation and iteration module include at least carbon tax rate adjustment, total carbon quota change, passenger demand fluctuation range, and new model fuel efficiency improvement rate.
  7. 7. The system of claim 1, wherein the space-time visualization module further comprises a computer program for integrating drawing tools to generate carbon emission contrast curves and cost-emission reduction benefit scatter diagrams of different models and airlines in each planning period.
  8. 8. The green transformation decision support system according to claim 1, wherein the decision variables of the core element dynamic optimization configuration model include the frequency of flight of model a execution flight routes i through j of the nth year Fleet size for model a in the t year Number of model a in the t year Quantity of retirement 。
  9. 9. The green transformation decision support system according to claim 1, further comprising a carbon quota adaptation module configured to obtain regional carbon quota update data in real time, automatically adjust carbon quota constraint parameters in the model, and trigger model re-solution.
  10. 10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the functions of the green transformation decision support system based on civil aviation carbon emission characteristics of any one of claims 1-9 when the computer program is executed by the processor.

Description

Environment-friendly transformation decision support system based on civil aviation carbon emission characteristics Technical Field The present invention relates generally to the field of carbon emissions technology. More particularly, the invention relates to a green transformation decision support system based on civil aviation carbon emission characteristics. Background The green transformation decision in civil aviation needs to simultaneously consider the operation efficiency, the emission reduction benefit and the dynamic suitability, but the problems existing in the prior art scheme directly restrict the decision scientificity and the floor applicability. In the existing decision model, the carbon cost, the investment cost and the operation cost are not brought into a unified optimization framework, the carbon price is mostly a static fixed value, and the carbon market fluctuation (such as the interval fluctuation of spot price 40-80 yuan/ton) and the regional differentiated emission reduction policy (such as strict quota management of key regions) cannot be coupled, so that the 'economy-emission reduction' target is unbalanced, the scheme either reduces emission and does not reach the standard, or excessively pushes up the operation cost. Meanwhile, the existing model is mostly aimed at single-element (fleet, route and airport) local optimization, does not consider dynamic association among the three (such as constraint coupling of fleet update, route carbon emission and airport suitability), especially lacks long-period planning adaptation capability, cannot support dynamic scenes such as fleet iteration, technical upgrading (such as SAF application) and the like in 2060-year cross-period, and has obvious deviation between local optimization and global optimization. The civil aviation core element data, the geospatial data and the carbon emission data are of multi-source heterogeneous characteristics, and an efficient space-time alignment mechanism is lacked in the existing tool, so that the space-time dimensions of the data are inconsistent (coordinate deviation and time stamp are not uniform). Especially, the carbon emission data can only account for the total amount of industries/enterprises and lack fine data of the route-model-period dimension, so that emission space-time heterogeneity cannot be accurately represented, and the model input quality is affected. Furthermore, under the condition of single scene parameters supported by the existing tool, complex scenes such as carbon tax adjustment, requirement fluctuation (+/-30%), new model efficiency improvement and the like are difficult to simulate, parameter updating relies on manual operation, when key parameters such as carbon market price, regional carbon quota and the like are changed, model iteration solving cannot be automatically triggered, decision response is delayed from policy and market dynamics, and the visual interaction capability is weak, so that decision practicability is limited. In view of the foregoing, it is desirable to provide a green transformation decision support system based on civil aviation carbon emission characteristics, so as to specifically construct an integrated carbon cost quantization, multi-element collaboration, refined data support and dynamic iteration mechanism. Disclosure of Invention In order to solve at least one or more of the technical problems mentioned above, the present invention proposes, in various aspects, a green transformation decision support system based on civil aviation carbon emission characteristics. In a first aspect, the invention provides a green transformation decision support system based on civil aviation carbon emission characteristics, which is characterized by comprising a multi-source data fusion module, a core element dynamic optimization configuration model module, a simulation and iteration module, and an automatic carbon demand regulation and optimization model, wherein the multi-source data fusion module is used for integrating Chinese civil aviation core element data, geographic data and carbon emission data, realizing data alignment through spatial interpolation and time sequence smoothness and outputting the data alignment in a distance matrix form, the core element dynamic optimization configuration model module is used for realizing the minimization of a total cost net present value of a system in a planning period through embedding a civil aviation core element dynamic optimization configuration model under a carbon cost view angle, the civil aviation core element dynamic optimization configuration model adopts a graph theory network modeling and mixed integer dynamic planning coupling method, the total cost comprises investment cost, operation cost and dynamic carbon cost, the model solving module is used for solving the core element dynamic optimization configuration model through a mathematical modeling system tool, outputting machine configuration and aviati