Autonomous

Autonomous Defined

Easy definition of the difference in automation, semi-autonomous, and autonomous

Automation

Automation:  Refers to a set of related functions performed automatically by equipment. Automation assumes that the operator performs any requirements before or after the automated sequence in order to complete the task. Multiple automation sequences are required to enable equipment to work semi-autonomously or autonomously.

Semi-autonomous

Semi-Autonomous:  describes multiple automated sequences a machine can perform without human input that result in a task being completed. Semi-autonomous machine operation assumes that the operator performs some tasks.

Autonomous

Autonomous:  Refers to a state of equipment in which it can perform the programmed operations under defined conditions without human input or guidance. When we talk about this type of equipment, we use the adjective, autonomous.

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Now that everyone's on the same page for defining the differences Zedi can make it easy for you to achieve your production potential with the full Zedi advantage, a system that links your hardware and software with a cloud-computing platform. Access your most important assets by equipping your production with the industry's most innovative technology.

Converting our field expertise into expert fields

Thirty years of market leading technology has driven us to innovate the direction of the oil and gas industry to new heights with Zedi Smart-Field.  We’ve taken our proven hardware and software, backed by the Zedi team to introduce a semi-autonomous answer to every producers need for stronger, long term returns.

Our artificial intelligence and machine learning capabilities paired with Zedi Artificial Lift Solutions has achieved the industry leading autonomous optimization functionality to improve your bottom line results. Zedi Pipeline Leak Detection learns the normal operating parameters to diagnose when a potential incident is occurring, including system anomalies and other maintenance issues using historical, and live data for intuitive machine learning to ensure faster, more accurate alarming.

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