Live working is an important part of ensuring safe and reliable operation of power grid. However

the live working is full of danger. In order to assess the risks faced by the human body

the concept of digital twins can be introduced into live working on transmission lines

and a human digital twin can be constructed to conduct risk assessment on the human body

completing the mapping of the real world in virtual space. The attitude estimation

model reconstruction and simulation are used to construct a digital twin of the human body for live working on high-voltage transmission lines

which can provide early warning of dangerous situations and assess personal safety. Firstly

the POSIT algorithm is used to obtain the transformation matrix between the real world and image coordinate systems. Combined with two-dimensional and three-dimensional transformation technology

the subsequent two-dimensional coordinate points are converted into three-dimensional coordinate points

which can obtain the posture data of the human body. Then

the human posture data is used for model reconstruction and on-site simulation for risk assessment

and potential risk assessment of personnel is performed through real-time work guidelines and rules. This research achieves model reconstruction of three-dimensional models with variation in posture data

and then with variation in the human body model

the system will automatically calculate the electric field in simulation and use risk assessment to display hazards. This technology can provide a new idea for safety assessment of on-site workers and lay the foundation for the development of digital power grid.