Proficy CSense
Apply powerful machine learning tools to optimise asset and process peformance.
WHAT IS PROFICY C-SENSE?
The optimal industrial analysis tool
Proficy CSense uses AI and Machine Learning to help you combine data from industrial data sources, so you can quickly identify problems, discover root causes, predict future performance, improve quality, and increase productivity.
- Validate and cleanse data to ensure high data quality information.
- Combine data and use Machine Learning to improve process control.
- Visual analytics accelerate problem detection and improve efficiency. You also have the ability to predict failures and receive timely information to minimise the risk of downtime.
Looking for an overview of your process data?
Large process and control variability
Problem: Industrial processes are often sensitive to variation – sensors, raw materials or operating conditions can vary, leading to instability, quality issues and inefficiency.
How Proficy CSense helps: With its powerful analytics and ML models, Proficy CSense can combine data from multiple sources to reduce process variability and optimise settings (“setpoints”).
Value: By stabilizing processes, you can achieve higher quality, lower deviation and increased productivity.
Slow troubleshooting and difficult root cause analysis
Problem: When something goes wrong, such as product quality deviations or poor equipment performance, it can be time-consuming and complex to figure out what is causing the error. Data is often scattered and difficult to interpret manually.
How Proficy CSense helps: Proficy CSense has analysis and root-cause identification capabilities, allowing engineers to quickly see which variables correlate with problems.
Value: Faster troubleshooting reduces downtime, improves operator efficiency, and saves resources.
Insufficient predictive ability
Problem: Many industrial plants only react when something has gone wrong, such as quality deviations or control system errors, which can be costly and inefficient.
How Proficy CSense helps: Proficy CSense offers predictive (“predict”) models that can forecast how the process will behave in the future, as well as simulate scenarios and optimise setpoints.
Value: Through prediction, you can act proactively, such as preventing downtime, optimizing operations, and saving energy costs and raw materials.
Lack of data trust and data integrity
Problem: Raw data from sensors, control systems or historians can be “noisy”, inaccurate or lacking context, making analysis models and optimisation algorithms less reliable.
How Proficy CSense helps: Proficy CSense has built-in capabilities to validate and “clean” raw data at the source, ensuring that downstream models and analyses are based on good data.
Value: Increased data quality leads to more reliable insights, better decisions and more effective process optimisation.
Try free for 30 days
Explore how Proficy CSense can help you analyse, monitor, simulate and optimize setpoints in real time. Click the red button, register on the GE Vernova product page and try it for free for 30 days.
HOW DOES PROFICY CSENSE WORK?
Analyse, monitor and optimise your production
Proficy CSense enables you to optimise control loops in real time. In addition, you can use the product to extract valuable information by analysing historical data, which in turn is used to develop, test, analyze and optimise solutions that reduce variation in process parameters.
A user-friendly Industry 4.0 solution
Get optimal user-friendliness with drag-and-drop functionality. This reduces the need for data scientists and programmers. The user has access to templates that eliminate the need for programming.
GET TO KNOW THE FEATURES
Proficy CSense Troubleshooter:
Identify performance variations
Use Troubleshooter to gain insights from sensor and production data. Connect, visualise, and predict operational scenarios, see how changes will impact performance, and identify variations.
Proficy CSense Architect:
Develop analytical solutions and use a digital twin
With Architect, you as a user get a comprehensive platform to develop, integrate, test and deploy real-time analytics solutions. A solution that improves production quality, yield and efficiency.
You can also easily create digital twins and have them monitor production in real time to achieve smarter production.
Free AI add-on
Proficy CSense Starter Runtime Edition is a free AI add-on, which can be used with the iFIX and CIMPLICITY SCADA systems. The starter kit comes with five different templates that you can use to add Artificial Intelligence to your SCADA system based on Machine Learning.
See how you can use Proficy CSense
GE Vernova has created videos that demonstrate various features in action. In the videos below, you can learn more about how you can use predictive analytics to predict product quality and how you can improve variations in the manufacturing process. Go to Youtube to watch more videos in the same series.
Predict and maintain product quality
Improve process variations
Download guide
Machine Learning and Predictive Analytics – A Guidebook for Engineers
You don’t have to be a data scientist to use analytics software. Download the guidebook for an introduction to machine learning and analytics.
Frequently Asked Questions
Proficy CSense is an industrial analytics and optimization platform that uses AI/ML (artificial intelligence/machine learning) to analyse historical and real-time data from production and process environments. It helps to:
detect process variations and bottlenecks.
Simulate and optimise operating conditions (“what-if” scenarios) to increase efficiency and quality.
via real-time monitoring detect anomalies and send warnings or recommendations.
The core features include:
Data collection, validation and cleaning (“connect & clean”).
Modeling and analysis (analysis, ML models, simulation).
Real-time monitoring and prediction (monitor, predict).
Optimisation and control of setpoint (optimise, closed-loop validation).
es, Proficy CSense is designed to work with historical data, real-time data, SCADA/MES systems, and more. For example:
Support for databases such as SQL, data archives (“historians”), OPC interfaces, text/CSV files.
Open integration: REST, ODBC, etc. standards are usually mentioned in similar analysis tools. This allows existing infrastructure to be utilised and CSense to “sit on top” without the need to replace the entire system.
Some important prerequisites:
Access to qualitative data – garbage in = garbage out .
CSense assumes that sensor data, historical data is good enough.
Clear goals and KPIs – what do you want to achieve (quality, throughput, energy savings, etc.).
Commitment and process understanding from process engineers, the tool will be most effective if users can interpret and act on insights.
Infrastructure to connect data (SCADA, MES, history) to Proficy CSense.
Users have achieved the following:
Reduced variability in production, higher stability.
Increased throughput, better quality, less waste and lower costs.
Improved process control, faster troubleshooting and the possibility of predictive maintenance.
There is a “Starter Runtime Edition” that is offered as a free AI add-on for some SCADA systems (e.g. Proficy iFIX / Proficy CIMPLICITY).
You can also try the product for free for 30 days.
Click here
Some common challenges that are often mentioned:
Data is in different formats, of varying quality, or exists in silos. This requires work on data cleansing and standardisation.
Organisational and process change, moving from reactive operations to data-driven or predictive operations requires cultural change.
Competence. Although Proficy CSense has drag-and-drop and simplified interfaces, users are required to understand processes, statistics/ML, and how models should be interpreted and implemented.
Infrastructure such as having the right tools, networks, integration, real-time data flows.