Inspection and Maintenance of Ships

 Challenge

The normal operation of a ship depends on the availability of machinery on board, and regular maintenance is necessary to ensure that the ship is always in good condition. Traditional ship maintenance of the rotating equipment is based on regular openings onboard or in a shipyard, which requires dismantling, transportation, and professional inspection. Thus, ships need to go out of business until the maintenance is completed. The workload is large and time-consuming, which increases the pressure on the shipping company. However, predictive maintenance programs can transform maintenance from reactive to proactive, preventing potential failures with early problem detection, increasing equipment lifespan and shortening maintenance windows.

HAT Analytics, a leading provider of predictive maintenance services, delivers innovative digital condition monitoring solutions that require the assistance of rugged mobile computing devices. Because operating offshore, where extreme temperatures, shock, vibration, and salty air are common, overly fragile equipment can add to the high cost of hardware replacement. What mobile computer is their best choice? To find this answer, HAT Analytics conducted an extensive search for data acquisition tablets that meet communication standards and field durability standards.

Solution

ONERugged's M10A rugged mobile PC is an ideal choice for HAT Analytics 2nd generation of digital health monitoring system Ad|Vi|Se. As part of the overall solution, its robustness and powerful computing power allow the digital health monitoring system to stably perform real-time monitoring and diagnosis of the ship's mechanical status.

The ONERugged M10A rugged mobile PC, which operates in cooperation with the HAT Analytics digital health monitoring system Ad|Vi|Se, converts the collected vibration data into easy-to-understand health report which is presented to the crew via a highly interactive user interface. With the intuitive data display, crews can get measurement results and locate the root cause of the fault faster, and the maintenance can be carried out more quickly.

Meanwhile, the inspection report will also be automatically generated and transmitted to the cloud server for validation and machine learning modelling through the low-latency network of the ONERugged M10A rugged mobile PC. This increase the reliability of the health monitoring system and through the AdViSe CM Dashboard the ship's superintendent and fleet manager can securely access the information and several condition monitoring metrics of the fleet from anywhere. In the face of difficult mechanical problems, the staff can take pictures of abnormal equipment through the ONERugged M10A high-definition rear camera, and feed them back to the cloud to seek help from remote analysis and diagnosis by HAT team of experienced engineers.