Soft sensors
Soft sensors, also known as virtual sensors, provide real-time estimates of variables that are difficult, costly, or even impossible to measure directly in a production environment. By leveraging advanced algorithms and machine learning techniques, our soft sensors use available process data to infer continuous estimates for critical parameters.
Why choose soft sensors?
Understanding every aspect of your production process is key to staying ahead. Soft sensors enable you to:
- Gain Real-Time Insights: Get continuous visibility into your production parameters, allowing for immediate adjustments and optimizations.
- Reduce Costs: Minimize the need for expensive testing and reduce unnecessary consumption with the gained information.
- Improve Process Efficiency: Optimize your production process by accurately estimating key variables, leading to improved quality, reduced waste, and lower energy consumption.
How soft sensors work
Soft sensors are built by combining process knowledge with advanced data analytics. Here’s how we do it:
Use case example
Chemical Production
Soft sensors enable real-time estimation of critical quality parameters such as pH levels, optimizing raw material usage and energy consumption. This allows for more efficient production processes, reducing waste and operational costs, and improving overall product quality and yield.
use case example
Pulp and Paper
Soft sensors provide precise monitoring of e.g. moisture content and other key factors critical to the papermaking process. By enabling tighter control over these variables, they help maintain consistent product quality, minimize material waste, and improve energy efficiency across production stages.
Use case example
Wastewater Treatment
Soft sensors offer continuous, real-time monitoring of essential water quality parameters. This allows operators to adjust treatment processes proactively, ensuring compliance with environmental regulations and optimizing the overall efficiency of the wastewater treatment system.
Overcoming Common Challenges
While the benefits of soft sensors are clear, successful implementation requires careful planning and execution. At SimAnalytics, we address the challenges of soft sensor design by:
- Ensuring Data Quality: We perform a comprehensive Data Health Check before deployment to ensure only relevant and high-quality data is used in the models.
- Customizing Models: Each soft sensor is tailored to your specific process needs, ensuring that the models provide the most accurate and useful insights. We ensure a good dialogue with your process experts throughout the development process.
- Seamless Integration: Our soft sensors use our advanced Factory Harmonizer Data Platform to smoothly integrate with your existing systems. This also enables updates without disturbances to your production.
Our Experts are here to help!
Johanna Kummala
Head of Sales