Business value of autonomous systems

Autonomous systems can make industrial control solutions more adaptable to changing environments, tackle complex processes, and combine human and machine intelligence.

Maximize throughput

Dynamically adapt to multiple and changing optimization goals to maximize the throughput of many processes.

Reduce operation costs

Reduce operation costs by improving process efficiency and reducing machine downtime through autonomous machine calibration and optimization.

Enable new levels of automation

Intelligent control systems can tackle industrial processes that were previously too dynamic and complex to automate.

Manage resources efficiently

Make your people more efficient and your industrial processes more sustainable.

Build intelligent industrial control systems

Program your unique expertise into AI models that deliver impactful results for industrial applications.

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Manufacturing Chemical processing Logistics and supply chain Energy systems Mining

Energy use cases

Leverage autonomous systems to develop control systems in the energy industry. Explore use cases in drilling, wind farms, and solar farms, and more.

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Business problem

Maximize rate and volume of oil extraction from subsurface asset via horizontal drilling.

Current limitations

Human operators follow and iteratively adjust the prescribed well plan based on static geophysical models. Inaccuracies in geophysical models require constant adjustments based on imprecise sensor data, reducing percentage of time drill is extracting oil on plan.

Project Bonsai solution

Eclipsed human-like performance within one week.  Drill bit never deviated more than 2’ from optimal path. Reduced time to complete drilling operation more than 20%.

Business problem

Maximize energy output of wind farm by controlling operating parameters of individual turbines.

Current limitations

Human operators supported by custom optimization algorithms. Human operators struggle to comprehend voluminous sensor input, and algorithms that model dynamic operating conditions are still emerging.

Project Bonsai solution

Trained BRAIN to match controls benchmarks in 3 hours and extended approach to other five control parameters combining them across the entire wind farm.

Business problem

Inconsistent production yield of land or offshore asset because of complexities in choke valve control tactics.

Current limitations

Production engineers and operators make control decisions several times per day based on pressures and flows. Extensive experience required for veteran production engineers to understand and optimize complex interactions, resulting in dramatic output differences.

Project Bonsai solution

Automated recommendations 24x7 that produce more output than Offshore Control Room Operator recommendations. Automatically operate choke valves for an oil field from control room to maximize oil production.

Business problem

While conference rooms are unoccupied about half of the time, HVAC systems are predominantly operated by simple PI thermostats, consuming energy when unnecessary, and sometimes violating CO2 safety levels.

Current limitations

PID corrections are reactive, while MPC controllers consider future state but still struggle to find global cost optimization behavior. Both approaches require time consuming commissioning process to tune controller behavior.

Project Bonsai solution

The autonomous system learned to control HVAC for improved comfort and air quality with ~23% lower energy consumption.

More resources for autonomous systems

Bring autonomy to your use case

Ready to bring intelligence and autonomy to your industrial control systems? Our Project Bonsai team will help you determine how autonomous systems will power your business.

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