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PROCESS ANALYZERS

Process KPI Analyzer

The Process KPI Analyzer provides measured, expected, and deviation of plant parameters using user-editable CSVs , Ebsilon Models and Data Science Models. The plant data is imported, validated, and then ingested into the KPI. These KPIs are useful in determining the performance of the plant, and are an integral foundation for use in the associated trending, root cause, and anomaly detection tools.

Degradation Analyzer

The Degradation Analyzers take the overall loss in key plant performance indicators (such as output capacity and energy index) and break them down into the contributing components, such that corrective actions (Capex or Opex) can be taken quantitatively. The key indicators for each type plant will be customized based on customer criticalities. The underlying physics models provide the calculation foundation, and can be tuned by the user to keep pace with regularly scheduled maintenance events.

What-If Analyzer

The What-If Analyzer give the customer direct easy-to-use access to the foundational physics model such that various studies can be made. From a simple browser interface with no training on how to use models, the customer can run the models. With What-If Analyzer, maintenance decisions, operational setpoints decisions, and plant upgrades decision can be backed up with actual physics simulations, taking the guesswork out of the equation.

INDUSTRIAL ANALYTICS

Industrial data analysis is a resource-intensive process that has a long lifecycle due to inefficiencies in all steps. These limitations cause a longer time between an incident occurring and getting actionable insights, resulting in production losses and increased costs.

Industrial analytics is a layered approach with IIoT analytics that empowers individual departments or teams with deep subject matter expertise to utilise analytics directly, without depending upon a data science or IT team.

Industrial Analytics helps to:

VISUALIZE

Monitor data in real-time from multiple sources to increase reliability and ensure plant safety

DIAGNOSE

Optimise production and efficiency by timely detection of any deviation of process parameters, validated by historical data

PREDICT

Predict maintenance, maximise asset availability and increase runtime by providing data driven decision support for maintenance support

PRESCRIBE

Self-service analytics provide a robust framework that lets you deploy physics-based and AI/ML models on top of it to not only predict but prescribe for quick actions to save maintenance costs and increase efficiencies in the industrial space.

INDUSTRIAL ANALYTICS - INDUSTRIES WE SERVE

  • chemical plant

    Chemical Process

    EmpiricAI’s Industrial Analytics insights empower engineers and operators to monitor live process behaviour, identify trends in their processes, and look for exceptions. Our data driven solution helps identify causal effect relationships, monitor current batch performance, and predict and identify issues, such as heat exchanger fouling, in a matter of minutes. Timely notifications prevent process disruptions and hard alarms.

  • power plant

    POWER

    Power plants have tremendous amounts of data stored in their systems. EmpiricAI’s Industrial Analytics fuse this data with actionable intelligence for insights into processes, such as monitor the turbine heating and cooling phases, help optimize the omission treatment chemicals, and even assist in compliance reporting. This enables power generation plants to increase production, avoid potential problems before they occur, and plan predictive maintenance to avoid unplanned downtime.

  • metal plant

    Metals

    EmpiricAI’s Industrial Analytics helps plant professionals quickly discover the formula to optimize maintenance schedules and operations, with safety and reliability of output being the highest priority. For example, applying advanced analytics techniques on a through-chain data set can identify the root causes of quality issues, optimize energy consumption, detect leakages, and more.

  • oil gas plant

    OIL AND GAS

    Oil and gas companies use EmpiricAI’s advanced analytics to investigate their production data to drive improved results in efficiency, safety uptime, and yields. Insights drawn from analytics keep engineers well informed on heat exchanger fouling, well completion analysis, water hammer detection, and performance monitoring, leading to reduced safety risks, increased asset availability, controlled operational costs, and improved bottom line results.

Deep industrial plant operation experience and world class data sciences expertise

Combining deep domain experience with multi-disciplinary digital expertise, we formulate a unique approach to solve complex industrial problems. Enabling industrial complexes to operate more efficiently and reliably.