Intelligent monitoring method and system for box-type substation

By using digital twin mesh technology to perform three-dimensional spatial partitioning and transient iterative solution for prefabricated substations, the problem of lagging temperature monitoring in high heat capacity areas was solved, enabling advanced prediction of condensation risks and environmental regulation, and improving the reliability and fault tolerance of the monitoring system.

CN122456771APending Publication Date: 2026-07-24HENAN TIANLI ELECTRIC EQUIP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
HENAN TIANLI ELECTRIC EQUIP
Filing Date
2026-06-09
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In existing technologies, the surface temperature of high heat capacity components in prefabricated substations cannot be monitored in real time, resulting in delayed condensation phase transition and affecting the insulation strength of the insulating medium.

Method used

By employing digital twin mesh technology, the three-dimensional physical space of the substation is divided into observable and blind zone labels. Transient iterative solutions are then performed using the rising gradients of surface temperature and load current to generate anti-condensation control commands, allowing for early intervention in environmental regulation.

Benefits of technology

It enables advanced prediction of condensation risk on blind zone surfaces, avoids the lag problem in model output after physical heating, improves the anti-interference ability and decision reliability of the monitoring method, and enhances the robustness and fault tolerance of the system.

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Abstract

The application relates to the technical field of substation monitoring, in particular to an intelligent monitoring method and system for a box-type substation, which comprises the following steps: dividing a three-dimensional physical space of the box-type substation into a digital twin grid, and assigning observable labels and blind area labels; acquiring surface parameters and load currents in the three-dimensional physical space, and mapping the load currents into three-dimensional internal heat sources; calculating the rising gradient of the surface temperature and the load current, performing transient iterative solving on the digital twin grid to obtain a twin result; extracting the approximation degree of the corresponding grid nodes from the twin result according to the blind area labels; extracting the simulation temperature of the corresponding grid nodes from the twin result according to the observable labels, and correcting the convective heat transfer coefficient of the digital twin grid based on the residual error according to the effective state of the anti-condensation control instruction. The application can solve the problem that the blind area surface temperature model lags behind the physical temperature rise, and realize early intervention before the condensation phase change.
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