This post is also available in: עברית (Hebrew)
A new project launched in Japan aims at improving the security of critical infrastructure using artificial intelligence (AI) solutions. The non-profit organisation IOTA Foundation, developing next generation protocols for the connected world, is partnering with the Japanese government and the New Energy and Industrial Technology Development Organisation (NEDO), Japan’s national research and development agency.
The goal of the project is to develop technology to strengthen the security, longevity, and durability of critical infrastructure assets in Japan and abroad. By adding AI and distributed ledger technology to Risk Based Maintenance (RBM) Systems deployed in power plants, energy plants, industrial plants, petrochemicals and oil refining plants.
This type of predictive maintenance system that shares industry data using a distributed database is set to be the first of its kind in the world. While damage prediction assessment based on the current RBM standards exists, most processes are still left up to field workers to do manually.
To further optimise these systems, maintenance data will be digitised and processed by an artificial intelligence system to predict when and which parts of a plant are going to require maintenance. This will reduce unplanned outages, improve plant availability and lower costs by reducing unnecessary inspections and repairs.
The project will develop a cloud-based SaaS software. It will be based on a decentralised database using IOTA’s distributed ledger technology.
Distributed ledger technology (DLT) is a digital system for recording the transaction of assets in which the transactions and their details are recorded in multiple places at the same time. Unlike traditional databases, distributed ledgers have no central data store or administration functionality. Blockchains are one form of distributed ledger technology.
Centralised databases are vulnerable to accidents, tampering and leakage. By building an RBM using IOTA, maintenance companies are able to provide a solution to infrastructure partners that is resistant to cyber-attacks while protecting sensitive data.
Thanks to the artificial intelligence system created, information can be captured, shared, and acted upon by distributed teams across the world, according to smart-energy.com.