From Fukushima in Japan to Sellafield in the UK, the world is home to a number of sites that are contaminated with radioactive waste and require clean-up. The current techniques available to do this are expensive and time consuming – but a new'super hero' robot could help to cut both costs and time. The robot, called Avexis, is designed to fit through a 100mm access port in the flooded reactors at the Fukushima site, to locate and analyse melted fuel. Many areas around Fukushima are still being decontaminated, 58,000 people are still displaced from their homes and the local food industries have been crippled. Its designers hope that the robot will be ready to deploy at the Fukushima Daiichi Nuclear power plant by February 2018.
An aquatic robot called Avexis is being tested in Japan ahead of being deployed into the damaged core of the Fukushima Daiichi Nuclear Power Plant. A link has been sent to your friend's email address. A link has been posted to your Facebook feed. An aquatic robot called Avexis is being tested in Japan ahead of being deployed into the damaged core of the Fukushima Daiichi Nuclear Power Plant.
North Korea had plans to direct a cyber attack against power grids in the United States and successfully launched an attack directed at South Korea's Ministry of Defense, NBC News reported. While the campaign may have failed, the attempts of North Korean hackers to target utility companies presents a growing risk for American companies that are responsible for keeping the lights on for millions of homes across the country. Many power grids operate on a network separate from the public internet, insulating the systems that control the grid from attackers. North Korean hackers were able to successfully infiltrate South Korea's defense ministry and stole a large collection of military documents that purport to detail wartime contingency plans developed by South Korea and the U.S. A total of 235 gigabytes of military documents were reported to be stolen from South Korea's Defense Integrated Data Centre in a breach that took place in September 2016, and 80 percent of those stolen files have yet to be identified.
He recently gave a talk hosted by the MIT Energy Initiative (MITEI) on using machine learning to develop a real-time warning system for impending disruptions in fusion reactors. The whole goal of fusion energy is to develop large power plants to generate electrical power on the grid, and replace today's fossil-fueled utility power plants, and even replace fission nuclear power plants. But if a fusion power plant is subject to disruptions, its electricity output would suddenly turn off. When dealing with large, complicated datasets, machine learning may be a powerful way of finding subtle patterns in the data that elude human efforts.
Smart grids, connected to each other via the cloud, and utilising the IoT, big data analytics and machine learning, can significantly increase the energy efficiency of the existing grid. The result is advanced production optimised for resource consumption and cost including energy, raw materials and water, whilst also enabling connection with customer devices to optimise lifespan performance. Wider 4IR technologies incorporated by the IIoT platform include Virtual Reality product simulators to optimise smart product design, sensor-driven computing, industrial big data analytics, energy efficient robotics, and intelligent machine applications. IoT, sensors, AI and cloud-enabled'precision agriculture' can use on-farm sensors and connected machinery to access real-time data for farmer smart devices that can optimise how much water, energy, fertiliser and feed to use, increasing productivity whilst reducing energy use and product waste.
Teams from Tesla and Puerto Rico's energy sector will continue the talks early next week, Rosselló said. Oct. 6: Tesla can help fix Puerto Rico's ruined electrical grid, Elon Musk says Oct. 6: Elon Musk delays self-driving truck to focus on Model 3, Puerto Rico power Musk announced he was delaying the unveiling of Tesla's new semi-truck and diverting resources to its battery-producing Gigafactory in Nevada in part to "increase battery production for Puerto Rico and other affected areas." Diverting resources to fix Model 3 bottlenecks & increase battery production for Puerto Rico & other affected areas. They also spoke about using Tesla solar technology to rebuild Puerto Rico's power grid, including a pilot run in the island-municipality of Vieques, which still pulls its power from Puerto Rico.
Convenience store chain Lawson Inc. and Japanese cybermall operator said Friday that they will organize a demonstration test on Oct. 31 for drone delivery services in an area devastated by the March 2011 earthquake and the subsequent nuclear disaster in Fukushima Prefecture. The test will be conducted in Minamisoma, Fukushima Prefecture, utilizing a Lawson outlet, a mobile shop and Rakuten's drone. When the traveling shop visits areas some 2.7 km from the convenience store, it will take orders from local residents and deliver products from the outlet, including warm cooked food. Lawson President Sadanobu Takemasu said a number of older people have difficulty visiting stores, expressing hope for contributing to the community with the mobile shop and drone delivery service.
While these meters give the consumer greater control and a better understanding of their energy usage, the data made available to them only scratches the surface of what is actually possible and what can have a real impact on changing consumer behaviour. See also: Connectivity concerns hindering IoT's potential for energy sector This means while they can provide the total cost of your energy usage, they miss the opportunity to provide enough detail to encourage long-term behavioural change in the home, that would ultimately lead to lower energy bills and increased efficiency. One step further, beyond smart meters, is the application of blockchain technology and the introduction of peer to peer energy trading, which is currently only being used in Germany, Australia, and Canada. Blockchain technology is bringing about new opportunities in many sectors but in the energy sector, combining machine learning methods with the transaction and authentication capabilities of blockchains means delivering cheaper and more sustainable energy to consumers is possible.
The Awards, given for each scenario to the best performing teams, were introduced by Alan Winfield from Bristol Robotics Laboratory and ERL Emergency Coordinator. After the earthquake and tsunami, the pipes connecting the reactor to the sea might be leaking radioactive substances, therefore the emergency team has to find the damaged ones on land or underwater. The land robots have to inspect the pipes in the building's machine room and marine robots the underwater pipes in order to close the correct valves and prevent leakage. In addition, Marta Palau Franco, Bristol Robotics Laboratory, ERL Emergency project manager introduced the referees' special awards.