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Maritime Smart Solutions

Software and Data Services for Ship Design and Operation

We offer industrial automation solutions, specializing in predictive maintenance and reliability services. Assisting companies in achieving full automation and provide consultation to help them embark on Industry 4.0. Our real-time condition monitoring creates an integrated ecosystem for owners, managers, and operators
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Remote Condition Monitoring
Monitor your ships ME AE Motors Pumps anywhere, anytime, and on any device with complete visibility
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Data-Driven Machine Diagnostics
Get meaningful & decisive insights from the sheer volume, velocity, veracity, and variety of machine data
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Digital Reliability Services
Advanced services for real-time machine health diagnosis and predicting equipment failure

DIGITAL SHIP VALUE PROPOSITION

Machinery Condition
Savings through on demand maintenance alert based on live machinery data. Predictive diagnostics leading to deferred maintenance & condition based procurement
Reliability
30% lesser downtime with performance advisory & timely actions
Decision Making
Savings through, PMS procurement. Remote Health Diagnostics of the machinery & real time anomaly detection and advisory

OUR SERVICES

Alarms Monitoring & Advisory
The real-time alarms monitoring dashboard tracks and maintains all alarms in real time, converting them into alerts that can trigger warnings to the relevant superintendent or hierarchy. Recently, issues were identified in the Main Engine (ME) Turbocharger (T/C) lubrication system, with probable causes being the failure of the lubricating pump or a malfunctioning pressure sensor. The advisory is to check and rectify both the lubricating pump and the pressure sensor.
Condition Monitoring & Advisory
The dashboard allows continuous monitoring of the Main Engine (ME) and shafting system, including tail shaft condition monitoring and identification and resolution of issues. It enables the monitoring of stern tube bearing temperatures, detecting anomalies through trend variations. Potential consequences and impacts include real-time analysis for evaluating wear and tear, planning maintenance schedules accordingly, and establishing correlations with other parameters.
Condition Based Maintenance
The dashboard indicates possibilities of increased resistance through higher fuel consumption or engine wear and tear. It monitors the operational parameters of Auxiliary Engines (AE) for condition monitoring, specifically DG operations. This enables condition-based maintenance and predictive diagnostics by monitoring load voltage frequency and the health of running alternators. Additionally, it measures Main Engine (ME) shaft parameters, including shaft power (kW), shaft torque (N-m), and shaft RPM, which can indicate deviations due to transmission losses in the shafting system.

PACIFIC DIGITAL WAVES

603, Brij Residency phase 2
Shiv Vatika, Lasudia Mori
Indore, Madhya Pradesh 453771
India

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