Big data: verifiable results
SIGNAL AND NOISE
Measure the performance
Data collection and analysis
Shipglide analyzes environmental and ship operating data to verify installed operational savings in reduced fuel consumption resulting from Shipglide air lubrication systems.
A challenge for the ship owner or operator has been understanding the actual contribution of the ALS systems once installed.
To measure the performance contribution, data must be collected. In collecting this data, the two primary domains of data collection are found to be very noisy and complicated:
BIG DATA: VERIFIABLE RESULTS
External Environmental Noise
External Environmental Noise includes factors such as:
- wind direction and velocity
- sea state
- currents
- tidal flow
- ship heading changes
- ambient temperature
- humidity
- atmospheric pressure
- hull and propeller fouling
- hull coating roughness
- impact of diver cleaning maintenance
BIG DATA: VERIFIABLE RESULTS
Internal ship noise
Internal Ship Noise includes on-board factors like:
- engine and turbocharger condition and operating range
- parasitic loading
- fuel transfer systems
- auxiliary fuel consumption
- bearing and shaft sealing status
- fuel quality and type (ECA operation)
- scrubber or exhaust waste heat energy recovery engine back pressure
Measure the performance
The PhD researchers, engineers and programmers of Shipglide are leading the implementation of big Data to provide Owners and Operators with verifiable results.
research and development
Statistical analysis
This wide variety of exogenous data creates an extremely noisy data-collection environment. In collecting data to measure the actual reduction in ship drag and fuel consumption, statistical analysis and synthesizing of the huge amount of data is literally an area of intense research and development today.
Shipglide, with its staff of world-class Ph.D. researchers, engineers, and programmers is leading the maritime industry in developing the tools that provide this answer to you in a timely manner with accuracy and precision.
BIG DATA = NEW ANALYSIS PARADIGM
Big data = new analysis paradigm
The term big data has become an industry cliché and the relevant meaning is often lost. Unique and significant differences exist in analyzing big data compared to traditional analysis of small data. The Traditional statistical analysis revolved around statistical significance and typically used the smaller sample data set to represent a larger data system. Today, in big data with advanced computing and storage power, we have access to either all, or the majority, of the data that represents the entire system. Statistical significance is not so relevant.
The data analysis is significantly different and becomes more a filtering or searching process rather than a modeling or scaling process. Big data analysis is unique from historic data analysis in that new features become predominant, including Heterogeneity, Noise, Spurious Correlation, and Incidental Endogeneity versus Exogeneity Assumption.
a. Heterogeneity
Small data typically emanated from a single or few sources and the data was homogenous or relating to one population. In small data, an outlier is disregarded or ignored. In big data, the number of different data sources provides the opportunity to consider sub-populations.
b. Noise
The massive amount of data in big data can lead to data noise that can mask important and relevant correlations.
c. Spurious Correlation
Alternatively, again due to the massive amount of data, incorrect correlations can be found based on data sets that occur not because they correlate but rather due only to the quantity of occurrences.
d. Incidental Endogeneity versus Exogeneity Assumption
Many of the statistical tools available in prior analysis with small data are not available in big data analysis due to the small data sets being able to correlate to a variable external to the data set and in big data the correlation is likely to a variable inside the data set.
THE COMPLETE PICTURE
We supply world-class air lubrication solutions to vessels of all types and sizes.
Shipglide conducts CFD for every vessel using our Shipglide ALS systems in-house with our resident staff experts.
Shipglide has the only Boundary Layer Testing Lab on the planet dedicated to designing, optimizing, and verifying air lubrication systems.
Our engineers and project managers have the ability to take a Shipglide ALS from early concept design to completed installation.
Shipglide analyzes ship data to confirm fuel savings achieved through its air lubrication systems.
Intellectual property (IP) regards inventions, literary and artistic works, symbols, names, and images used in commerce.
We have conducted test cases to demonstrate the potential for analyzing the resistance reduction effects of the Shipglide ALS.
THE COMPLETE PICTURE
We supply world-class air lubrication solutions to vessels of all types and sizes.
Shipglide conducts CFD for every vessel using our Shipglide ALS systems in-house with our resident staff experts.
Shipglide has the only Boundary Layer Testing Lab on the planet dedicated to designing, optimizing, and verifying air lubrication systems.
Our engineers and project managers have the ability to take a Shipglide ALS from early concept design to completed installation.
Shipglide analyzes ship data to confirm fuel savings achieved through its air lubrication systems.
Intellectual property (IP) regards inventions, literary and artistic works, symbols, names, and images used in commerce.
We have conducted test cases to demonstrate the potential for analyzing the resistance reduction effects of the Shipglide ALS.
