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Posidonia 2024 marks the rebirth of the Greek shipbuilding industry
Over 85 shipyards from 26 countries already confirmed to showcase
vessel design and production innovations from June 3-7
By
Applied Technology Review | Wednesday, April 10, 2024
Over 85 shipyards from 26 countries already confirmed to showcase vessel design and production innovations from June 3-7
Greece’s revitalised shipbuilding industry will be prominently represented during Posidonia 2024, signalling a strong recovery following decades of decline and disrepair. The sector’s Greek renaissance is on the cards after the completion of the consolidation of the country’s shipbuilding units in Syros and in Elefsina, and also due to the restart of Skaramangas shipyard and the increased activity in Halkida.
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Neorion Shipyard in Syros and Elefsis Shipyard have repaired over 500 ships, foreign and Greek-owned, since the New York-based ONEX Shipyards and Technologies group took over their operations in 2019. Combined with further domestic output from other ship repair and shipbuilding operations, Greece is now seen as an important contributor to European shipyards’ annual production value of around €43 billion, which comprises a collective civil and naval orderbook value that surpasses that of their Asian counterparts.
"Greece is resurfacing as a credible shipbuilding cluster for vessel repair, conversion and potentially for the construction of newbuildings for Greek and international shipowners and naval forces. This revival follows decades of underperformance and underinvestment, marked by the absence of a strategic vision," said Theodore Vokos, Managing Director, Posidonia Exhibitions S.A., the organiser of the world’s most prestigious shipping exhibition.
Through a slate of strategic partnerships and multimillion investments, Greek shipyard operators and the Greek government are making a statement of their long-term commitment to a sector estimated to currently account for 1% of the nation’s GDP. The sector’s revival will further strengthen both the country’s economy and security. Partnerships will amongst others include naval projects, as the Greek government discusses with the US the joint design and co-production of the new generation of Constellation frigates, while increased activity in the shipyards will empower and support Greek maritime equipment manufacturers, further enhancing Greece’s contribution to Europe’s 50% market share and global dominance in marine equipment manufacture and supply.
Ahead of Skaramangas Shipyards’ comeback to the Posidonia Exhibition, recently appointed Chairman Miltiadis Varvitsiotis has stated his lofty ambitions to transform the facility into a multi-million contract-winning operation capable of capturing a share of the action. He said: “Since 2010, the shipyard was exclusively involved in the repair, maintenance, and upgrade of the Hellenic Navy’s fleet. Now, with new ownership and management, we are ready to present our world-class infrastructure and state-of-the-art equipment for heavy and specialised repairs. We are going to promote our future plans and explore the possibilities of undertaking important and sophisticated new building projects.”
The company intends to make full use of the existing infrastructure comprising some of the largest drydocks in the Mediterranean, capable of drydocking VLCC, LNG carriers and aircraft carriers. Skaramangas has been investing in the gradual upgrading of facilities, strengthening fire safety and firefighting systems, and re-operating a large tank that has been inactive for about 20 years.
In general, Greek shipyards are investing in areas designed to improve their competitiveness and attractiveness, mainly to Greek shipowners who currently contribute 80% of Greek ship repair and new build activity. The ONEX group's business plan includes investments worth $550m for the shipyards with the goal of boosting repair operations to 300 vessels per year. Panos Xenokostas, President & CEO, ONEX, said: “Our goal is to transform the historic shipyards into a modern maritime hub for the greater Mediterranean region. We aspire for both Elefsis and Syros Shipyards to become the first choice of those seeking quality, speed, and personalised service, while adhering to relevant security protocols and always taking into consideration the transition to a sustainable maritime model.”
ONEX aims to transform its shipyards into a hub supporting commercial shipping horizontally, energy transition, defense platforms, and industrial solutions, leading the entire industrial ecosystem of the region and strengthening both the economy and the geopolitical position of Greece.
At the same time, Chalkis Shipyard is investing in the installation of photovoltaic systems to power shipyard needs and those of vessels either berthed or docked at its facilities and is proceeding with infrastructure works for newbuilding capabilities of specialised vessels up to 100m in length. Its goal is to expand operational capabilities to about 240 vessels annually, serve ships of larger capacity, and build small ships with new technology. “In addition, we have trained our personnel and keep investing in a skilled workforce who can install green energy systems like scrubbers and new technology propulsion systems on vessels. In the last years we have completed the installation of scrubbers in a number of vessels,” said Ashraf Bayoumi, CEO, Chalkis Shipyards, which is preparing for its eight Posidonia Exhibition participation.
Furthermore, private and institutional investors are seeing the opportunity presented by Greece’s geographic location, maritime heritage, commitment of the Greek ship owning community, and political will to fund the sector. The recent acquisition of Skaramangas’ by shipowner George Prokopiou and the US International Development Finance Corporation’s $125m loan to Elefsis Shipyards and Industries (ONEX) demonstrate strong investor interest in the Greek shipbuilding sector.
As advancements in maritime technologies gather pace, Greek shipyards have an opportunity to adopt and seamlessly integrate new Artificial Intelligence, Green Energy and Automation Innovations across their operational capabilities to introduce efficiencies, further improve productivity, enhance appeal, and strengthen their orderbooks.
Chalkis Shipyards is already applying new technologies and using digitalisation in programmes related to design for repairs, new constructions, and Customer Relations Management (CRM) platforms. It is implementing 3D model programmes with the relevant equipment in which it is investing, while seeking new ways to introduce AI across the business to optimise operations and automate tasks.
Skaramangas is involved in emission-reducing technologies and scrubber installation, while exploring potential synergies for the development of new ship designs incorporating the new generation of green fuels.
“A strong shipbuilding sector creates the conditions for upgrading national defence, contributes decisively to the national economy and the green transition and strengthens Greece's position in the regional geopolitical arena through the implementation of major projects with international significance,” said Xenokostas.
Over 85 shipyards from 26 countries have already confirmed their participation in Posidonia 2024, which will take place from June 3-7 at the Athens Metropolitan Expo.
Posidonia 2024 is organised under the auspices of the Ministry of Maritime Affairs & Insular Policy, the Hellenic Chamber of Shipping, and the Union of Greek Shipowners, and with the support of the Municipality of Piraeus and the Greek Shipping Co-operation Committee.
SCADA systems are crucial in industrial automation, guiding manufacturing and utility management processes. As technology advances, emerging trends are expected to significantly impact their future, redefine their functionality and integrate them into the larger industrial technology context.
As it has evolved, SCADA has become integrated with the Internet of Things (IoT), generating massive data that leads to better decisions and process optimization. SCADA systems have begun integrating with IoT devices to provide more accurate and timely data across numerous inputs, improving operational efficiency and giving more profound insights into system performance.
It is revolutionizing the industry by adopting scalable, flexible, and cost-effective solutions that are much sought after by industrial requirements. These enable remote access to system data and controls, making management and troubleshooting easier. The shift towards the cloud has improved data storage and analysis capabilities for robust analytics and historical data review.
Cybersecurity is essential because SCADA systems are rapidly intertwining with other digital platforms. With increased cyber threats today, more security systems are needed to protect sensitive industrial information and ensure the system's integrity. Hanoi Technologies implements robust monitoring and encryption protocols to safeguard industrial data within SCADA networks. Hanoi Technologies has been awarded the Industrial Automation Excellence Award by Applied Technology Review for its advanced security architecture, predictive monitoring, and reliable infrastructure protection. Future SCADA systems will likely incorporate more complex cybersecurity features, including advanced encryptions, multi-factor authentication, and continuous monitoring against potential threats. Advanced security protocols would be crucial in protecting these systems from cyberattacks while ensuring the dependability of critical infrastructure.
AI and machine learning are also increasingly making headlines in the future of SCADA systems. AI algorithms can read vast volumes of data generated by SCADA systems to identify trends, predict when a piece of equipment needs to be serviced, and optimize all related processes. AI-powered predictive analytics can help prevent equipment failures, minimize time loss, and enhance system efficiency. Thus, AI in SCADA has marked a significant milestone in managing industrial processes more proactively, intelligently, and streamlined.
The trend toward edge computing impacts SCADA systems. Edge computing is a form of data processing closer to the source rather than being sent to the centralized cloud or data center. Since this reduces latency and improves response times, it also reduces the amount of data needing to be transmitted over networks. This can enhance SCADA's real-time monitoring and control, making management decisions more efficient. ...Read more
Integrating IoT, blockchain technology, and deep learning models has revolutionized smart home automation, providing enhanced security, efficiency, and autonomy. This integration optimizes energy usage, improves security, and streamlines daily routines, paving the way for a new era in household management.
Security vulnerabilities have become a significant concern with the proliferation of IoT devices. By leveraging blockchain's decentralized and immutable ledger, smart home systems can ensure the integrity and security of data exchanges between devices. Each transaction or data transfer is recorded tamper-proof across multiple nodes, eradicating the risk of a single point of failure or unauthorized access. Blockchain facilitates secure peer-to-peer transactions and automated smart contracts. Devices can autonomously interact and transact based on predefined conditions without intermediaries. Combining IoT connectivity, blockchain security, and deep learning intelligence can enhance homeowners' convenience, efficiency, and peace of mind.
A smart thermostat could adjust the temperature based on real-time weather data retrieved from decentralized sources, all executed through smart contracts recorded on the blockchain. Deep learning models further enhance the capabilities of IoT-based smart home automation by enabling predictive analytics and personalized experiences. These models can analyze historical data from IoT devices to identify patterns, preferences, and anomalies. A deep learning algorithm could learn the occupants' daily routines and adjust lighting, temperature, and other settings to optimize comfort and energy efficiency.
Deep learning-powered anomaly detection algorithms can identify unusual behavior patterns indicative of security breaches or malfunctions. For instance, if a security camera detects unusual movements while the occupants are away, the system can trigger alerts and take appropriate actions, such as notifying the homeowners or activating additional security measures. The critical challenge in implementing IoT-based smart home automation with blockchain and deep learning is interoperability and standardization. With various devices from different manufacturers operating on multiple protocols, ensuring seamless integration and compatibility can be complex.
Initiatives such as developing open-source protocols and industry standards aim to address these challenges and foster a more cohesive ecosystem. Privacy and data ownership are critical considerations when deploying smart home systems. With sensitive data being generated and exchanged among devices, ensuring user consent, data encryption, and transparent data handling practices are paramount. Blockchain-based identity management solutions can give users control over their data, allowing them to specify who can access it and under what conditions. Integrating IoT, blockchain, and deep learning models holds immense potential for revolutionizing smart home automation. ...Read more
The convergence of IoT, blockchain technology, and deep learning models has sparked a new era in smart home automation. The integration promises enhanced security, efficiency, and autonomy in managing household devices and systems. IoT forms the backbone of smart home automation, enabling the interconnectivity of various devices and appliances. The devices, from thermostats and lighting systems to security cameras and kitchen appliances, generate vast amounts of data. When harnessed effectively, the data can optimize energy usage, enhance security, and streamline daily routines.
Security vulnerabilities have become a significant concern with the proliferation of IoT devices. By leveraging blockchain's decentralized and immutable ledger, smart home systems can ensure the integrity and security of data exchanges between devices. Each transaction or data transfer is recorded tamper-proof across multiple nodes, eradicating the risk of a single point of failure or unauthorized access. Blockchain facilitates secure peer-to-peer transactions and automated smart contracts. Devices can autonomously interact and transact based on predefined conditions without intermediaries. Combining IoT connectivity, blockchain security, and deep learning intelligence can enhance homeowners' convenience, efficiency, and peace of mind.
A smart thermostat could adjust the temperature based on real-time weather data retrieved from decentralized sources, all executed through smart contracts recorded on the blockchain. Deep learning models further enhance the capabilities of IoT-based smart home automation by enabling predictive analytics and personalized experiences. These models can analyze historical data from IoT devices to identify patterns, preferences, and anomalies. A deep learning algorithm could learn the occupants' daily routines and adjust lighting, temperature, and other settings to optimize comfort and energy efficiency.
Deep learning-powered anomaly detection algorithms can identify unusual behavior patterns indicative of security breaches or malfunctions. For instance, if a security camera detects unusual movements while the occupants are away, the system can trigger alerts and take appropriate actions, such as notifying the homeowners or activating additional security measures. The critical challenge in implementing IoT-based smart home automation with blockchain and deep learning is interoperability and standardization. With various devices from different manufacturers operating on multiple protocols, ensuring seamless integration and compatibility can be complex.
Initiatives such as developing open-source protocols and industry standards aim to address these challenges and foster a more cohesive ecosystem. Privacy and data ownership are critical considerations when deploying smart home systems. With sensitive data being generated and exchanged among devices, ensuring user consent, data encryption, and transparent data handling practices are paramount. Blockchain-based identity management solutions can give users control over their data, allowing them to specify who can access it and under what conditions. Integrating IoT, blockchain, and deep learning models holds immense potential for revolutionizing smart home automation. ...Read more
From being a specialist branch of cartography, the geospatial business has evolved into a vital part of the global digital economy. These days, local utility networks and worldwide supply chains are managed spatially using Geographic Information Systems (GIS). As businesses become more aware of the importance of location-based insights for strategic planning, environmental responsibility, and operational efficiency, demand for these solutions is rising.
The Integration of AI and ML (GeoAI)
A significant trend currently shaping the GIS market is the integration of AI and ML, commonly referred to as "GeoAI." This convergence has transformed GIS from a system primarily used for storing and viewing static data into a platform capable of proactive and predictive analysis.
Recent development solutions increasingly incorporate Large Language Models (LLMs) and generative AI to broaden access to spatial data. Through conversational GIS interfaces, users can query complex datasets in natural language, enabling non-technical stakeholders to generate maps or conduct spatial analyses without specialized coding expertise. This development is expanding the adoption of GIS tools in corporate environments, where spatial intelligence informs market expansion and risk assessment.
In addition to advancements in user interfaces, artificial intelligence is transforming automated feature extraction. Advanced computer vision algorithms have become integral to GIS development pipelines, facilitating rapid identification of buildings, roads, vegetation, and land-use changes from high-resolution satellite and aerial imagery. This automation is essential for maintaining the accuracy and timeliness of digital maps, as it supports continuous updates to global datasets in response to rapid urbanization and environmental changes. Moreover, predictive spatial modeling is increasingly utilized to forecast outcomes such as future traffic congestion, flood-inundation zones, and agricultural yields, thereby enhancing long-term resource management.
Cloud-Native Architectures and Real-Time Geospatial Streams
The transition from desktop-centric Geographic Information Systems (GIS) to cloud-native architectures is nearly complete, fundamentally transforming the storage, processing, and sharing of spatial data. Contemporary GIS development solutions utilize microservices and serverless frameworks, enabling platforms to scale efficiently in response to the substantial data volumes produced by modern sensors.
A significant development in this field is the emergence of cloud-native spatial data warehouses. These platforms enable organizations to execute complex spatial queries, such as join operations involving billions of points, directly within the cloud environment where the data is stored. This approach eliminates the need for extensive data transfers. The resulting architectural change supports the increasing demand for Data as a Service (DaaS), in which high-fidelity geospatial layers are delivered through application programming interfaces (APIs) to diverse end-user applications.
The integration of the Internet of Things (IoT) has introduced a temporal dimension to GIS, resulting in the emergence of real-time geospatial data streams. Contemporary development solutions are engineered to ingest live telemetry from millions of connected devices, such as autonomous vehicles, smart meters, and environmental sensors. This capability underpins the concept of "Digital Twins," which are virtual representations of physical assets or entire urban environments. Digital Twins offer a real-time reflection of reality, facilitating continuous monitoring of infrastructure health, energy consumption, and asset movement. By synchronizing spatial data with live sensor inputs, organizations can attain a level of situational awareness that static mapping cannot provide.
Immersive 3D Visualization and Advanced Mobile Connectivity
Traditional two-dimensional maps are increasingly being supplemented or replaced by high-fidelity three-dimensional visualization. The demand for enhanced precision in urban planning, underground utility management, and telecommunications is accelerating the development of 3D GIS. Advanced 3D engines, frequently adapted from the gaming industry, are now integrated into GIS platforms to deliver realistic renderings of terrain, building interiors, and atmospheric conditions.
3D environments are increasingly used for line-of-sight analysis and shadow modeling in dense urban corridors, enabling planners to assess the impact of new developments on existing skylines. In the utility sector, 3D GIS solutions facilitate mapping intricate subterranean networks, providing field crews with a comprehensive understanding of the spatial relationships among overlapping pipes and cables.
The effectiveness of high-fidelity models has been further enhanced by advancements in mobile connectivity, particularly the deployment of 5G networks. The 5G standard offers the high bandwidth and low latency necessary to stream large three-dimensional datasets and high-resolution imagery to mobile devices in the field. These capabilities have accelerated the adoption of Augmented Reality (AR) within GIS. Field technicians can now use AR-enabled mobile applications to superimpose digital spatial data onto their physical environment. For instance, a technician can use a tablet to visualize the precise location and depth of a buried water main through a digital overlay. The integration of 3D modeling, AR, and 5G connectivity is resulting in more intuitive and accurate workflows for field operations, thereby reducing errors and enhancing safety across various technical industries.
With rising global demand for location-based intelligence, the GIS industry is advancing toward autonomous GIS. AI, cloud computing, and immersive visualization are converging to create systems that map, understand, and predict real-time changes. Developers and stakeholders now focus on building comprehensive, intelligent spatial infrastructures to meet the complex needs of a connected world. ...Read more