Automatic and
contamination-free sampling.
ALRS (Automated Live Remote Sampling) is an automated remote sampling system capable of collecting real-time, contamination-free fluid samples. It ensures more accurate data, reduces operational risks, and increases maintenance analysis efficiency. Designed for mining, heavy industries, and logistics operations, it eliminates human error during sampling, optimizes decision-making, and reduces operational costs.
If you’re looking for a solution that eliminates machine downtime, enhances team safety, and offers special features, ALRS is the right choice.
Efficient maintenance of large fleets and industrial equipment depends directly on the quality of the fluid samples collected. Traditional methods often result in inaccurate analyses, contaminated samples, high risk of human error, and the need for re-sampling — all of which impact productivity and increase costs.
With ALRS, this scenario changes completely. The system ensures that each sample is collected automatically and precisely, delivering reliable data for strategic maintenance decisions.
Real-time sampling
Unlike conventional methods where samples are collected after equipment shutdown, ALRS performs sampling while the machine is running, providing a more accurate and representative analysis of the fluids’ actual condition.
Contamination-free collection
One of the major issues with traditional sampling is the need for re-collection due to contamination, insufficient volume, or inconclusive results. ALRS solves this with a sealed system and strict sample quality control.
Total safety
Manual fluid sampling can pose technical risks in industrial environments, increasing the chances of accidents. ALRS eliminates the need for physical access to equipment, ensuring full automation, safety, and compliance with occupational safety standards.
Operational cost reduction
The financial impact of downtime for maintenance can be massive. With ALRS, sampling can be done during refueling or shift changes, significantly reducing idle time.
