Research On Intelligent Generation Method Of Low Carbon Innovation Strategies For Manufacturing Enterprises Based On Extenics

Carbon emissions lead to the deterioration of the ecological environment,and the frequent occurrence of extreme weather conditions has become a global consensus.The extensive economic development model is difficult to meet the needs of national and social development.How to achieve low-carbon innovation,transformation,and upgrading of manufacturing enterprises has become an important problem that Chinese manufacturing enterprises urgently need to solve.The issue of carbon emissions has become an urgent problem for Chinese manufacturing enterprises to solve.manufacturing enterprises innovate low-carbon strategies and develop low-carbon ecology,which is not only a mandatory requirement of national development policies,but also an inevitable need for manufacturing enterprises to maintain survival and development and enhance market competitiveness in the face of the development and changes of market environment factors.The old factor allocation pattern of manufacturing enterprises is no longer suitable for the existing environmental framework,and the resource conversion efficiency of factor allocation has decreased.Therefore,it is necessary to follow environmental changes and implement low-carbon innovation,reconfigure enterprise factors to adapt to the new environment,and provide new momentum for the operation and development of manufacturing enterprises.However,at present,there is a lack of clear process guidance for the generation of low-carbon innovation strategies in manufacturing enterprises,and the answers to these questions are still unclear: what elements should be invested in innovation strategies,and how to generate innovation strategies.There is a "black box" in the process mechanism for generating innovation strategies,lacking scientific and comprehensive theoretical guidance.Innovation strategies limit the output of low-carbon innovation achievements of manufacturing enterprises,and it is difficult for manufacturing enterprises to achieve predictable and measurable ideal results in innovation investment.On the one hand,various innovation have a complex impact on low-carbon innovation in manufacturing enterprises.The conflict between the roles of different low-carbon innovation factors has formed many contradictory issues.The low carbon strategy of manufacturing enterprises needs to fully consider the impact of complex factors such as enterprise resources,structure,and environment configuration.Ignoring the relationship between some factors may lead to serious deviation from the expected actual effect of innovation strategies;On the other hand,there is a lack of scientific,quantitative,efficient and specific process for generating enterprise innovation strategies.In a rapidly evolving and changing operational environment,the formulation of strategies excessively relies on the experience of managers,which may lead to the content of strategies that cannot fully respond to the strategic development needs of the enterprise.Based on data intelligence mining and extension primitive theory,this paper first constructs a basic-element database of low-carbon innovation driving factors for manufacturing enterprises,providing a reference for identifying the incompatibilities of low-carbon innovation and systematically planning innovation driving factors;Secondly,a low-carbon status evaluation system for manufacturing enterprises is constructed,using extension evaluation methods to identify the carbon emission status of manufacturing enterprises,identify the main contradictions that need to be addressed in emission reduction innovation,and assist manufacturing enterprises in generating low-carbon innovation strategies that are compatible with incompatible issues;Thirdly,quantitatively analyze the core goals and conditions of low-carbon incompatibility issues in manufacturing enterprises,implement expansion transformation on the target and condition primitives,systematically generate a large number of compatible low-carbon innovation strategy sets,and obtain the optimal low-carbon innovation strategy for manufacturing enterprises through optimization evaluation.