Avnet Silica’s New Solution for Industrial IoT Applications
Avnet Silica, an Avnet company, recently launched their new, cutting-edge product, the Avnet Silica MiniPOC Kit. The kit is designed to enable ‘Proof-of-Concept’ for edge-to-cloud IoT use cases across several industries. It’s an easy-to-use kit that is based on a combination of Renesas’ Synergy™ microcontrollers and Avnet’s leading-edge sensors and the power management components that the company is hailed for.
By combining “a low-power multi-sensor solution, plus LoRaWAN™ (Long Range Wide Area Network) and cloud connectivity, this highly scalable kit ─ based on Renesas Synergy hardware ─ delivers working solutions for industrial use cases in building or factory automation, tracking and retail applications, or smart cities.”
Currently, the number of LoRaWAN use cases are on the rise, with industry-leaders and organisations attempting to address key markets the use existing and new LoRa networks for deployment in their smart factories or the process of automation creation, primarily. It can also be found in a whole “host of other sectors, including smart healthcare, transportation, logistics and supply-chain tracking, agriculture and retail applications.” It’s understandable why the kit is so popular, too, given that it employs the LoRaWAN protocol, which supports low-power devices with a battery life of several years.
The kit happens to be excellent for developing cloud-based condition monitoring, predictive maintenance and device management, as it comprises all the necessary elements to take customer IoT solutions from the edge to the cloud. It also includes a LoRaWAN gateway, multi-sensor monitoring through nine different sensor technologies, as well as everything that the user could need for cloud connectivity via the IoTConnect platform, incorporating the LoRaWAN network server, device management, visualisation and control, and data analytics.
“Our advanced Synergy microcontrollers, sensors and power management ICs deliver all the performance, low-power capabilities and features required for advanced IoT application development,” said Thomas Kellermann, Business Development Manager IoT & Infrastructure Business Unit MCU Business Development at Renesas.
“This new miniPOC kit enables developers to start work on delivering proof-of-concept for their IoT use cases within minutes of opening up the box,” said Frank Hansen, VP Technical Marketing & Resources at Avnet Silica. “The combination of low-power hardware, leading-edge LoRaWAN connectivity and Avnet´s IoTConnect cloud platform offers a ready-made and highly scalable solution for customers working on innovative new IoT use cases.”
Timeline: Tesla's Construction of Gigafactories
Tesla's mission to accelerate the world's transition to sustainable energy
Founded in 2003, Tesla was established by a group of engineers with a drive to "prove that people didn’t need to compromise to drive electric – that electric vehicles can be better, quicker and more fun to drive than gasoline cars." Almost 20 years on, Tesla today is not only manufacturing all electric vehicles, but scaleable clean energy generation and storage too.
"Tesla believes the faster the world stops relying on fossil fuels and moves towards a zero-emission future, the better," says Tesla. "Electric cars, batteries, and renewable energy generation and storage already exist independently, but when combined, they become even more powerful – that’s the future we want. "
In order to deliver on its promise of "accelerate the world’s transition to sustainable energy through increasingly affordable electric vehicles and energy products," Tesla's Gigafactory journey began in 2014 to meet its produciton goals of 500,000 cars per year (a figure which would require the entire worlds supply of lithium-ion batteries at the time).
By ramping up its production and bringing it in-house, the cost of Tesla 's battery cells declined "through economies of scale, innovative manufacturing, reduction of waste, and the simple optimisation of locating most manufacturing processes under one roof." With this reduction in battery cost, "Tesla can make products available to more and more people, allowing us to make the biggest possible impact on transitioning the world to sustainable energy."
2014: Giga Nevada and Giga New York begin construction
Born out of necessity to meet its own supply demand for sustainable energy, Tesla began the construction of its first Gigafactory in June 2014, in Reno, Nevada, followed by its Buffalo, New York facility the same year. "By bringing cell production in-house, Tesla manufactures batteries at the volumes required to meet production goals, while creating thousands of jobs," said Tesla.
2016: Reno, Nevada grand opening
Tesla’s construction of Giga Nevada came to an end in 2016, the first of its Gigafactories to complete its construction project. The factory’s grand opening took place in July 2016, and by mid-2018 reached an annual battery production rate of 20 GWh, which made it the highest-volume battery plant in the world that year.
2017: Giga New York begins production
Two years after Tesla’s second Gigafactory began construction, Giga New York was complete, and started its production operations in 2017.
2019: Giga Shanghai construction to production in record time
In 2019, Tesla selected Shanghai as its third Gigafactory location. The company constructed the factory in record time, taking just 168 working days from gaining permits to finishing the plant's construction.
2019: Giga Berlin begins construction
Announced in November 2019, Tesla began the construction of its first European Gigafactory in Berlin. The Gigafactory is still under construction.
2020: Giga Texas begins construction
The following year in August 2020, Tesla began the construction of its Giga Texas factory. The company’s third Gigafactory in the US is still under construction.
2021: Giga Texas and Giga Berlin expected completion of construction
Looking to the future, Tesla expects to complete the construction of its Giga Texas and Giga Berlin factories in May 2021 and July 2021 respectively.