::KORSHIP::

Feature Story Bringing the power of AI to gas carrier operations

페이지 정보

작성자 최고관리자 댓글 0건 조회 1,668회 작성일 21-07-16 10:46

본문

410023c15ec5dfc43623bf087fa7a3af_1626399875_037.PNG
Cloud-based and using artificial intelligence and machine learning, the METIS analytics platform enjoyed exceptional uptake through 2020, with over 250 vessels of different types now using the integrated performance monitoring and evaluation solution.
In early 2021, another breakthrough was achieved after a well-known Asian ship manager became the first gas carrier operator to select a new METIS cargo handling and energy efficiency option for its ships, having upgraded to the Inmarsat Fleet Data IoT platform. Functionality specifically developed for LNG and LPG vessels has resulted in METIS monitoring and evaluation now enhancing operations for four gas carriers.
As a cloud-based platform, the solution is specific to the gas ship data acquisition and analytics needs of the ship’s owner/manager, but agnostic as far as the original maker of the equipment monitored and evaluated on board is concerned. Data acquired from shipboard sensors is uploaded for API(application program interface) exchange with the METIS analytics hub.
The data is stored securely alongside information from other sources, such as weather providers and traffic monitoring services including AIS, as well as corporate and maintenance planning systems. All of this data is immediately available to the ‘micro-service’ functionality interacting with end-users.
Round the clock data provides a rich, high-resolution picture of ship performance, while the ability to pool, access and manipulate data for multiple purposes is one of the ‘game-changing’ ways maritime digitalisation enhances ship efficiency, safety and environmental performance.

A recent commercial breakthrough adds specialised gas carrier operations
to the range of vessels benefiting from AI-based data acquisition,
real-time performance monitoring and intelligent analytics solutions,
says Serafeim Katsikas, CTO, METIS Cyberspace Technology


Ship-specific data needs

This is a qualitative approach that contrasts markedly from the one-size-fits-all model seen in the maritime space until now, where everyone was presented with the same unfiltered data, leaving it up to the individual user to manipulate or interpret it.
Requirements vary by ship type, and even among supposed sister ships.  The METIS system has therefore been developed as highly configurable to detect and act on significant events based on thresholds specific to individual vessels. Its diagnostic capabilities help engineers pin down the likely cause of any anomaly, while predictive capabilities enable the planning of corrective actions.
LNG and LPG trades demand thorough monitoring of the sensitivities to temperature, pressure and conditions of special cargoes in storage, in transit and during handling, but also precise and timely information relevant to each vessel.  METIS has developed specialized functionality to monitor and evaluate parameters through the entire voyage, including during loading and discharge.


Cargo conditional

Where cargoes in transit are concerned, the METIS package for gas carriers monitors the condition of cargo tanks in real time, with live dashboards showing latest readings covering critical cargo parameters (temperature, pressure and tank level), and a record of measurements over the previous 24 hours. Functionality also enables the ship’s owner/manager to evaluate the condition of cargo tanks over longer periods to develop performance insights across a range of conditions.
Loading and discharging is also monitored in real time to ensure adherence to the strict operational guidelines that apply wherever LPG cargoes are handled and that the condition of cargoes remains within the required range of values.
In a move also specific to gas carrier power consumption, the METIS solution continuously monitors and evaluates the performance of diesel generators in their critical role of maintaining conditions in the cargo tank. As well as ensuring the availability and reliability of machinery, generator performance is evaluated for optimised fuel oil consumption and responsiveness, reflecting the higher power required for handling cargoes for these types of ships compared to conventional tanker and bulk carrier counterparts.


Weather sensitive routing

Where other vessel types are concerned, the machine learning supporting the METIS platform has achieved significant successes in route planning. Speed profile, fuel consumption, hull fouling and other parameters that include the weather conditions that the vessel is likely to encounter can be used to generate ‘what-if’ scenarios and propose a route that strikes the best possible balance between safety, voyage time and fuel efficiency.  One customer reported a 21.5 percent reduction in fuel consumption as a result, while another took the benefit as a one-and-a-half day cut in transit time plus a more moderate fuel saving.
LNG and LPG cargoes are especially sensitive to changes in conditions at sea, adding value to any solution which promises to enhance voyage planning.  The recent collaborative project involving four gas ships also included the use of data analytics as a tool to optimise route selection.
METIS does not offer real time weather services in its own right, but offers virtual scenarios based on predictions from three forecast providers which in combination with actual vessel performance and hull condition data have allowed the LPG carrier operator to evaluate routing alternatives.

410023c15ec5dfc43623bf087fa7a3af_1626400000_733.PNG

Multiple stakeholders

Safety, efficiency and environmental performance can only benefit from the availability of timely information, while accumulated data and evaluation becomes increasingly useful as a decision-making tool for multiple stakeholders.  Another newly developed digital tool within the METIS portfolio has special relevance to the gas carrier sector - especially the spot market. We recently launched a software module to tackle the challenges shipping companies face in monitoring vessel performance effectively to meet Charter Party Agreement(CPA) reporting needs.
The system uses weather data, vessel manoeuvring status and all other remarks included in the CPA and offers automated notifications in case the speed consumption curve exceeds predefined limits.  We’ve made it possible for LNG and LPG carrier operators to monitor and track their vessel’s CPA performance at a glance online using a set of visually rich dashboards. Once all CPA terms are imported into the system the user can monitor all vessels concerned and identify potential deviations to specified consumption and speed terms.
Other modules of interest include shipping’s first tool to predict the trade-off between emissions reduction and debt servicing for ships financed under the Poseidon Principles. This module, launched in early 2021, calculates whether and when ships need investment to keep pace with the IMO average efficiency ratio (AER) underpinning the Principles.
Data-driven decision-making helps those ashore and at sea generate scenarios quickly and easily, whether they are based on the current conditions faced by a vessel, the expectations of multiple stakeholders or the continuing viability of an asset at a time of advancing restrictions on emissions.  We’re helping shipping decide on the optimal course of action, without its captains, superintendents or business leaders having to resort to guesswork.

■ Contact: JLA www.j-l-a.com
 

Category

Category

최신호보기(Latest issue)

최신호보기(Latest issue)

관련협회/단체(Association/Agency)

관련협회/단체(Association/Agency)