Download PDF
Mitsubishi Electric's Edge Computing Solution Powered by Wind River VxWorks
Technology Category
- Analytics & Modeling - Edge Analytics
- Platform as a Service (PaaS) - Edge Computing Platforms
Applicable Industries
- Marine & Shipping
- Renewable Energy
Applicable Functions
- Maintenance
- Product Research & Development
Use Cases
- Edge Computing & Edge Intelligence
- Fog Computing
Services
- Hardware Design & Engineering Services
- System Integration
The Challenge
Mitsubishi Electric Corporation, a global leader in factory automation (FA) applications, identified edge computing as a critical component of the Industrial Internet of Things (IIoT). The company aimed to enhance device and data security, reduce data traffic to the cloud, and enable faster response to network or device issues. In 2018, Mitsubishi Electric launched its first line of industrial hardware products designed for edge computing, the MELIPC Series. The primary development goals for MELIPC were to support the type of edge computing promoted by Mitsubishi Electric and to introduce advanced vision technology for device control. The flagship computer of the MELIPC line, the MI5000, was designed to combine real-time equipment control with high-speed data collection, processing, diagnosis, and feedback in a single machine. However, the development team needed a real-time control platform that could seamlessly integrate real-time control with proven analytic and diagnostic applications.
The Customer
Mitsubishi Electric Corporation
About The Customer
Mitsubishi Electric Corporation is a leading supplier of electronic hardware for factory automation applications globally. The company is the market share leader in Asia in several FA categories, including programmable controllers and laser processing machines, and is one of the top three FA systems manufacturers worldwide. Mitsubishi Electric has long promoted a vision of value creation in the manufacturing industry through the use of IoT. The company is working to strengthen edge computing on an industrial scale and to empower customers to transform production, enhance value, and solve important business challenges.
The Solution
Mitsubishi Electric selected the VxWorks real-time operating system for the MI5000's control platform. VxWorks enabled the MI5000 to provide both real-time equipment control and edge computing in a single solution. The system could collect data from IoT devices while managing them in real time, and edge computing applications made it fast and easy to carry out data analysis. The MI5000 also incorporated Wind River virtualization technology built for real time. Mitsubishi Electric initially considered using its own software to build a virtualized platform, but ultimately chose Wind River for its proven reliability and quality. The company installed VxWorks and Windows as guest operating systems on top of the Wind River virtualization platform, which allowed them to integrate the functionality of both and verify which functionality was usable on a guest operating system.
Operational Impact
Related Case Studies.
Case Study
Remote Monitoring & Predictive Maintenance App for a Solar Energy System
The maintenance & tracking of various modules was an overhead for the customer due to the huge labor costs involved. Being an advanced solar solutions provider, they wanted to ensure early detection of issues and provide the best-in-class customer experience. Hence they wanted to automate the whole process.
Case Study
Vestas: Turning Climate into Capital with Big Data
Making wind a reliable source of energy depends greatly on the placement of the wind turbines used to produce electricity. Turbulence is a significant factor as it strains turbine components, making them more likely to fail. Vestas wanted to pinpoint the optimal location for wind turbines to maximize power generation and reduce energy costs.
Case Study
Siemens Wind Power
Wind provides clean, renewable energy. The core concept is simple: wind turbines spin blades to generate power. However, today's systems are anything but simple. Modern wind turbines have blades that sweep a 120 meter circle, cost more than 1 million dollars and generate multiple megawatts of power. Each turbine may include up to 1,000 sensors and actuators – integrating strain gages, bearing monitors and power conditioning technology. The turbine can control blade speed and power generation by altering the blade pitch and power extraction. Controlling the turbine is a sophisticated job requiring many cooperating processors closing high-speed loops and implementing intelligent monitoring and optimization algorithms. But the real challenge is integrating these turbines so that they work together. A wind farm may include hundreds of turbines. They are often installed in difficult-to-access locations at sea. The farm must implement a fundamentally and truly distributed control system. Like all power systems, the goal of the farm is to match generation to load. A farm with hundreds of turbines must optimize that load by balancing the loading and generation across a wide geography. Wind, of course, is dynamic. Almost every picture of a wind farm shows a calm sea and a setting sun. But things get challenging when a storm goes through the wind farm. In a storm, the control system must decide how to take energy out of gusts to generate constant power. It must intelligently balance load across many turbines. And a critical consideration is the loading and potential damage to a half-billion-dollar installed asset. This is no environment for a slow or undependable control system. Reliability and performance are crucial.
Case Study
Remote Monitoring and Control for a Windmill Generator
As concerns over global warming continue to grow, green technologies are becoming increasingly popular. Wind turbine companies provide an excellent alternative to burning fossil fuels by harnessing kinetic energy from the wind and converting it into electricity. A typical wind farm may include over 80 wind turbines so efficient and reliable networks to manage and control these installations are imperative. Each wind turbine includes a generator and a variety of serial components such as a water cooler, high voltage transformer, ultrasonic wind sensors, yaw gear, blade bearing, pitch cylinder, and hub controller. All of these components are controlled by a PLC and communicate with the ground host. Due to the total integration of these devices into an Ethernet network, one of our customers in the wind turbine industry needed a serial-to-Ethernet solution that can operate reliably for years without interruption.
Case Study
Temperature monitoring for vaccine fridges
Dulas wanted a way to improve the reliability of the cold chain, facilitating maintenance and ensuring fewer vaccines are spoiled. Dulas wanted an M2M solution which would enable them to record and report the temperature inside vaccine refrigerators.
Case Study
IoT Powering A New Way to Light Streets with Bifacial Solar Panels
When James Meringer’s commercial contracting business experienced a rapid increase in solar projects, he also saw an opportunity to extend the benefits of solar by using the bifacial solar panels he’d become familiar with in new ways. Bifacial solar panels enable sunlight from both sides of the panel, making it a more efficient harvest of solar power. Seeing the panel’s power, James and his team set out to use the same technology for street lighting. Until now, solar street lights have served as utilitarian solutions that force designers to choose between form and function. The Mira Bella Energy team has changed that.