Harnessing Sensor Data

Accelerating Relevant Answers through Simulation 

More and more sensors are adding to exabytes of data collection each day. However, capturing this data is only part of making it useful. With an integrated end-to-end process for sensor technology, data is transformed from information to answers. Leaders need infrastructure that uses open-source technology to draw insights from streaming data and integrates context from stored data in real time. When combined with pre-operations planning tools that consume sensor data and run simulators, such technology can inform leaders where to place sensors, how sensors will interact with the environment, and what to expect when the data starts rolling in.  

Our technology agnostic operating model allows decision makers to ask, “What if…”  

• streaming data could interact with stored data in real time? 
• the amount of data streamed didn’t impact the speed at which it’s received? 
• modeling and simulation were quickly and easily accessible for testing? 

and learn how 

• to understand ways sensor data will interact with systems in advance 
• the environment will impact sensor hardware 
• to supplement gaps with synthetic data. 

To address these questions and proactively mitigate risks, decision makers and users need a rapid, flexible, and highly customizable solution to model their operational environment, integrated technologies, and operations tracking from data collection and analytics to decision support. 

LMI’s approach incorporates modeling and simulations based on artificial intelligence/machine learning (AI/ML) to test Internet of Things (IoT) networks deployed alongside teams in the field.