<i> Use</i><i> Cases</i>
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Use Cases

Critical Infrastructure / SmartCities

Major cities around the world are looking to implement connected networks of sensors and devices across roads, traffic control, building control and water systems. These are needed to control pollution, reduce carbon emissions, reduce lost time in traffic congestion, increase productivity, reduce crime and enhance the lives of citizens. Cities such as Atlanta, Chicago, Singapore, Amsterdam, London, Glasgow, Sydney and many more are investing in pilots to trial for example smart lamp posts, which contain cameras, air sensors and microphones. At the same time, critical infrastructure operators are installing smart electricity meters and smart water meters to monitor and manage power and water usage. The goal of smart city projects is to link these diverse systems and technologies, and then to apply artificial intelligence models to be able to predict accidents, congestion, pollution events and behavior, with the aim of taking action to mitigate those outcomes.

Working with several governments, Iothic has identified a number of areas where dOISP can create value quickly. dOISP enables faster deployment of Industry 4.0 initiatives, propelling the economic growth of the business district with the kind of industrial gains that BCG (Boston Consulting Group) has estimated for global IIoT, such as 25% improvement in productivity.

dOISP can secure all sorts of difficult to secure SmartCity multiuse beacons by simple deployment, enabling new trials of point to point communication with low latency in city management, accelerating the crime and pollution reduction goals of the nation. The Housing Development program, which aims to connect homes and utilities to community administration hubs can be brought forward in time and the risks of security breaches reduced significantly, all at relatively low cost. Singapore has expressed interest not only in the fully decentralized security capability of dOISP, but equally in the interoperability capability that will allow all sorts of assets to communicate in real time with other assets, securely of course. Punggol is under discussion as a potential first smart deployment.
We estimate that the savings in security and network management to be in the tens of millions each year for the island nation, the avoided costs of massive equipment replacement and integration to be worth much more. Further the automation created intersystem will prove to be highly beneficial in terms of new models of real time interconnectivity and functionality.
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Energy Sector

Understanding and modeling resource extraction rates is a key operational measure for optimising field performance in the upstream oil and gas sector. Performance is enhanced by real-time modeling based on in-field data. In order to accurately assess field operations, hundreds of sensors, actuators, sensor hubs, routers, and programmable logic controllers (PLCs) of industrial strength are used to measure equipment efficiency, extraction readings, operational alerts and machine optimization. These technologies constitute a control loop that consists of four primary domains: the physical process, the measurement process, the decision making process and the action process.

Other IoT applications in the energy sector focus on demand management through the value chain of extraction/generation, transport/transmission, and consumption. Demand management is increasingly seen as a vital tool in the energy transition required to manage climate change.
Iothic is working with several global energy providers to deploy dOISP on its upstream facilities. The first objective is to secure assets on multiple extraction and production sites, integrating OT assets into IT infrastructure.Further, full interoperability between assets for real time data analytics and limited artificial intelligence (AI) at the edges and beyond is underway. This will allow real time data analytics, action and optimization. Iothic will help realize a fully decentralized interoperable real time secure network in which every asset can partake and be taken fully into account. This is true intelligent optimization.

A major benefit is the reduced risk of a major security breach. Colonial Pipeline may have paid $5M in bitcoin in ransom, but the real cost was the reputational and business damage of fuel shortages affecting customers across the US economy. The equivalent shut down in operations for any global energy supplier could lead to lost revenue and remedial work worth hundreds of millions of dollars.

Integrating existing OT and other infrastructure into the IT conversation without replacing current equipment or redesigning systems architecture means autonomous operations can be delivered faster and cheaper. dOISP will allow the rapid modernization, and could save tens of millions over several years.

Lastly, the ability to automate and optimize across the full range of assets can be hugely profitable. Not only are security related costs significantly decreased, but new business models to increase productively and manage demand will now be possible. These new business models benefits are not fully quantified yet, but they will directly affect the competitive position of any player deploying the technology.