The invention innovatively provides a dynamic optimization method and
system for carbon emission in the whole process of highway construction based on digital twinning, and belongs to the technical field of
highway engineering construction management and
environmental protection. The method comprises the following steps: constructing a highway construction carbon emission digital twinborn model fusing geometry,
physics, rules and a data driving model; collecting mechanical, material and
environmental data in real time through a multi-element
Internet of Things sensing network; using real-
time data to drive the digital twin model to update synchronously; based on the updated model, the lowest carbon emission is taken as a main target, the construction period and the cost are collaboratively optimized, multi-target dynamic optimization solution is carried out through an intelligent
algorithm, and an optimal construction scheme is generated; and outputting and executing the scheme and forming closed-loop feedback. The
system comprises a data sensing module, a
data center module, a digital twin model module, a dynamic optimization decision engine module and a man-
machine interaction module. According to the method, the defects of
lag and management fragmentation of an existing carbon accounting technology are overcome, the crossing from static accounting to dynamic optimization is realized, and systematic monitoring and intelligent reduction of carbon emission in the whole process are realized while the construction quality and progress are guaranteed.