For energy and natural resources companies, it will be extremely important to maintain normal business operations while reducing on-site staff in the coming months or even years. Monaf's research found that a North American mining company quickly established a monitoring mechanism to manage an important underground conveyor belt of more than 100 kilometers, which simplified the original manual inspection or the team sometimes reviewed the report several weeks after the failure occurred. work. After four weeks of deployment and implementation, the event-driven reliability system can currently monitor the entire system twice every second to search for events with failure risks.In the first month of the system’s launch, the company avoided about 20 hours of downtime that might have occurred; in the first four months of launch, the system detected more than 30 potential downtime events and achieved zero false alarms. Not only that, in addition to preventing failures that may occur at any time, the continuous push of asset information also provides decision-making basis for energy companies to determine the level of risk: helping operation and maintenance teams make key decisions to maintain an appropriate balance between production and reliability.For example, a chemical manufacturer uses a risk assessment to determine which key equipment has a higher risk of failure and should be repaired offline, and which equipment can work at full capacity during peak demand periods. In addition, engineers can also monitor remotely (even at home) through the system. For example, an oil and gas company saved 8 million US dollars in 6 months by remotely monitoring the temperature of oil wells, and reduced unnecessary inspection and maintenance costs by 18%.