Optimization method for embedding source carbon reduction technology into solid investment project approval process

Abstract

The present application relates to the technical field of project approval management and carbon emission reduction technology fusion application, and in particular to a method for optimizing the approval process of embedding source carbon reduction technology into fixed investment projects. The method defines the source carbon reduction demand index of fixed investment projects and generates an approval priority list, breaking the limitations of traditional approval without clear carbon reduction orientation, and realizing the quantitative fusion of carbon reduction goals and approval processes. Taking the first item in the list as the object, the method extracts carbon reduction related nodes, sorts data relationships, and generates long-chain approval logic to solve the problem of fragmented carbon reduction nodes and make the process more systematic and accurate. By marking high demand links with approval demand indexes, resources are concentrated in carbon reduction core links, avoiding the traditional equal effort and improving the landing efficiency of high carbon reduction projects. If there is no high demand link, the process will be pushed forward in sequence, taking into account the flexibility and continuity of the process.

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