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Pipelines — critical, of course, to the transportation of oil and gas — are typically deployed across long distances, traversing complex geographies. As such, harsh environments often present significant risks and challenges, making communication difficult and often leading to insufficient power supply.
Traditionally, manual inspection — both costly and inefficient — is required to detect and control security risks. Yet, a lack of visualized oversight or unified tools makes remote site management and the coordinated management of multi-vendor devices impossible.
However, Huawei's future-facing Pipeline Monitoring and Warning provides customers with a secure, reliable, and uninterrupted pipeline communications system. The system is made up of three key components: a backbone transmission system; an integrated solution for remote site power supply, communication, and Internet of Things (IoT) edge-device intelligence; and a machine vision security monitoring system. Taken together, these elements meet all of the communication and production requirements of pipelines, also introducing intelligence to operations, helping to slash costs and improve overall efficiency.
99.999% reliability ensures that the system is always available. Simplified 4-in-1 network architecture provides optimal performance, meeting evolution requirements and protecting the customer investment.
Integrated management of remote site communication, energy, and edge devices enables simplified, intelligent Operations and Maintenance (O&M).
By integrating a portfolio of Huawei products and solutions — such as backbone transmission products, Internet Protocol (IP) products, Information Technology (IT) products, energy infrastructure, and smart cameras — customers are provided with a truly one-stop experience.
The machine vision pipeline security protection platform implements 360° data awareness around pipelines, especially in high-consequence areas. The open algorithm store — HoloSens Store — provides customers with on-demand, replaceable, and reliable algorithms.