Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies. the Array of things, Big Data, AI and Wireless sensing networks with smart Photonic sensors cumulatively creates what has been called a "smart factory".
CATS Photonic sensing Technologies help manufacturers forecast when or if functional equipment will fail so its maintenance and repair can be scheduled before the failure occurs.
CATS AI-powered predictive maintenance, manufacturers can improve efficiency while reducing the cost of machine failure, error reduction and revenue growth.
NO INTERFERENCE : AUM_GAS heads are not subjected to corrosives or contaminants in the gas because the sensor is isolated from the stream. The result is a sensor which does not suffer from contamination or drift due to vapor impurities such as glycol, methanol or amines.
PAYBACK : Very quickly pays for itself by eliminating the cost of consumables, extra sensor heads, factory calibrations, labor, and overhead associated with excessive maintenance. Expensive problems caused by unreliable gas measurements such as added processing steps and poor gas quality can be eliminated.
RAPID RESPONSE TIME : ALLOWS FOR FAST, SIMPLE OPERATION. AUM_GAS detector take measurements 1000's data points per mili second and average the results per second. These real-time measurements are not hampered by wet-up (absorption) or dry-down (desorption) as with surfaced based sensors.
VIDUR predictive maintenance, helps producers address maintenance issues in advance of equipment breakdown :
preventing extended downtime,
avoiding unnecessary damage,
improving operational efficiency,
and reducing maintenance costs.
VIDUR allows operators to stop production for just a few minutes each month, for example, to replace a fan that's about to break, rather than replacing each fan every year whether it needs it or not.
To implement systematic 4.0 predictive maintenance, companies must first equip all critical machines with VIDUR that monitor in-use equipment conditions, such as vibration, temperature, and pressure. They should then aggregate the data from these VIDUR into repositories, or "data lakes".
In addition, they should establish the performance thresholds that will trigger maintenance whenever the value from a VIDUR goes beyond the relevant threshold. Finally, VIDUR use machine-learning algorithms to analyze historical data, run simulations, uncover the root causes of past failures, and predict the risk of failure for each machine.
Predictive maintenance can add value to three primary installations in a cement plant the gear boxes; the mills, which are expensive and numerous; and the kiln, which requires long interventions in cases of breakdown and must be shut down for several weeks each year to replace the refractory lining.
CATS Photonic sensing technologies provides INDUSTRY 4.0'S COMPETITIVE ADVANTAGES :-
Production will be enhanced by Industry 4.0
Analytics-Driven Predictive Maintenance
Predictive Quality Analytics
Alternative Fuel Optimization
The Integrated Control Tower
Saving energy and raw materials and increasing sustainability.
Integrated plant engineering - connecting data
Optimization of production potential
CATSmart AI can augment usage in cement plants that materially impact safety. It can be used in condition, vibration and structural health monitoring, providing increased trust from the operator and reducing costs of repairs and reconstruction.
CATSmart AI and Cognitive sensor based architectural system integrated with IAOT and Industry 4.0 is composed of :
Few Photonic sensors installed based on crane characteristics : -
Vibration and Deflection
Weather and Pollution
Load and impact of speed of Vehicle.
Recording of sound.
Dynamic Big Data that stores crane condition data,
Cloud based server that calculates and analyzes data transmitted from the monitoring devices.
ARRAY OF THINGS
Manufacturing Industry can gain a lot of advantages from AoT by using production-line monitoring.
The AoT photonic sensors can detect an impending failure and this will help to enable proactive maintenance.
The Photonic sensors are so technologically advanced that they can sense where and when production is being compromised.
The new-age machines can be integrated with a whole load of distinct photonic sensor (vibration, sound, etc.) that all make use of AoT and are used for recognizing faults in the machines before it reaches the point where the machine stops working.
With the help of sensor alerts, the pieces of equipment and their malfunctions can be tracked. This further allows the industry to reduce operating costs, improvisation of the asset and also time management.
Combination of VIDUR, VEDA, & AUM Mitigates the risk of Leakages Multiple Threat, Environmental challenges, Machines optimum uptime, Structural Stability & Security for all collaterals / infrastructure.
Low Capital Cost and Low Operating Cost. Options for Service Model.
Effectively monitor various leaks scenarios. Comparatively locates leaks faster, reliable, robust & with high sensitivity prevents leaks accurately on real time basis, regardless of fluctuating pipeline conditions.
Ensures & Secures multiple threat that can lead to substantial damage and loss. Threats are detected, localized, and responded before damage occurs. Threats and Unwanted activities in the vicinity of infrastructure are predicted and prevented.
Real time Condition, Vibration & Structural Health monitoring of Machines, Structures, Conveyors, Boilers etc., will save huge capital and maintenance overheads.
Integrated with BIG DATA will provide new actionable insights, enabling plant to harness information for a higher profits with 100% safety and security.
Such a comprehensive Photonic solution could be highly beneficial for sensitive installations like nuclear power plants, averting accidents that may have potentially devastating or lethal consequences.