Reality Capture
- The 3D laser scanner captures non-contact 3D point cloud data of object surfaces and outputs high-precision, high-resolution digital models, offering significant advantages in acquiring spatial information.
Are Traditional Substation Inspection Obsolete?
As the core hub of the "power transmission - distribution" link in the power system, substations are the key carriers of power system digitalization. With the large-scale grid connection of new energy sources, the deepening of source-grid-load-storage interaction, and the upgrading of power grid safety requirements, traditional substations that rely on manual inspections, discrete equipment, and local control can no longer meet the needs of the new power system.
High Processing Costs:
Advanced scanning technologies, equipment, and high-performance computers are required for substation scanning and modeling. All these factors lead to high investment costs, increasing the financial burden on power enterprises.
High Technical Difficulty:
Substation scanning and modeling involves interdisciplinary knowledge, including power systems, mechanical design, automation, and computer science. Currently, there is a shortage of relevant talents in the market, which restricts the rapid development of this technology.
High Difficulty in Data Collection:
Substation equipment features complex structures and wide distribution. Traditional surveying instruments (such as total stations) fail to perform normal operations effectively in the special environment of substations, resulting in high labor intensity for observation work.
Low Modeling Accuracy:
Traditional 3D modeling methods are mainly implemented through aerial photogrammetry. However, this method involves heavy workload in geometric model construction and low accuracy. It cannot quickly acquire 3D spatial data or build models precisely, and is also unsuitable for data collection in substations with small area.
Substation Digitalization: A New Operational Paradigm
The digital transformation of substations centers on real-time non-invasive monitoring of equipment status, intelligent and autonomous decision-making for operation control, and remote lean management of operation and maintenance. It promotes the upgrading of the traditional "periodic maintenance - manual dispatching - on-site duty" model to a "predictive maintenance - adaptive response - visualized management and control" model, thereby comprehensively improving the monitoring accuracy, response efficiency, and operation and maintenance economy of the power system.
Equipment Status Digitization:
Shifting from "periodic maintenance" to "predictive maintenance", its core lies in achieving real-time, accurate, and non-invasive monitoring of equipment throughout its entire life cycle.
Maintenance Management:
Transitioning from "on-site duty" to "remote operation and maintenance", it achieves the remotization, visualization, and lean management of operation and maintenance work.
Operation and Control Intelligence:
Moving from "manual dispatching" to "autonomous decision-making", it enables automation, self-adaptation, and self-decision-making in operation and control.