Meeting London's bus emissions goals with the power of an IoT platform
Company Size
1,000+
Region
- Europe
Country
- Germany
- United Kingdom
Product
- Cumulocity IoT platform
- STW machines.cloud
- TC1 telematics modules
Tech Stack
- Cloud Computing
- Wireless Systems
- IoT Networks
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Environmental Impact Reduction
- Productivity Improvements
Technology Category
- Networks & Connectivity - Wireless Local Area Network
- Platform as a Service (PaaS) - Connectivity Platforms
Applicable Industries
- Cities & Municipalities
- Transportation
Applicable Functions
- Logistics & Transportation
- Maintenance
Use Cases
- Predictive Maintenance
- Public Transportation Management
- Vehicle Telematics
Services
- Cloud Planning, Design & Implementation Services
- System Integration
About The Customer
Sensor-Technik Wiedemann (STW) is a Bavarian company dedicated to electronic products for the digitalization, automation and electrification of mobile machines with a global reach. Founded in 1985, STW quickly became the source for telemetry solutions used by the world’s leading manufacturers of mobile machines, large vehicles and agricultural equipment. Winning awards from its earliest days, STW is leading the way to a clean, efficient and profitable future. STW is a leader in automation, electrification and digitalization and a specialist in large vehicle and equipment telemetry.
The Challenge
The City of London set an ambitious goal to create the world’s first Ultra Low Emission Zone in central London by 2020. To meet this goal, London needed to know what every single vehicle is doing in real time. The best solutions go further, gathering and parsing data with even better visibility into any individual vehicle’s operating data and module systems. By 2021, more than 5,000 buses in London’s public transport network will be fitted with sensors, such as HJS Emission Technology’s Selective Catalytic Reduction Technology, which uses cutting-edge particle filters and catalytic converters to dramatically reduce emissions. But in today’s world, blind implementation isn’t enough to meet the strictest of emissions guidelines.
The Solution
STW is adding its TC1 telematics modules to the city’s busses. By tapping into industry-standard CANbus vehicle data systems and transmitting the gathered data wirelessly, users can access everything from real-time emissions data to vehicle faults, GPS-based locations and fuel consumption with the click of a button. This made it a breeze to meet legal certification obligations that the data also be recorded centrally and stored for 60 days while providing live access for remote condition monitoring of exhaust gas treatment systems. The implementation of intelligent algorithms inside the telemetric modules turns big data into smart data—enabling automatic fault alerts and predictive maintenance actions ahead of when they are needed. Once finished with the full installation, HJS will have the ability to pick and choose its capabilities, such as machine learning to optimize routes and operating parameters for better balancing emissions and expenses.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Turning A Stadium Into A Smart Building
Honeywell created what it called the “intelligent system” for the National Stadium in Beijing, China, turning the venue for the opening and closing events at the 2008 Summer Olympics into a “smart building.” Designed by highly controversial artist Ai Weiwei, the “Bird’s Nest” remains one of the most impressive feats of stadium architecture in the world. The 250,000 square meter structure housed more than 100,000 athletes and spectators at a time. To accommodate such capacity, China turned to Honeywell’s EBI Integrated Building Management System to create an integrated “intelligent system” for improved building security, safety and energy efficiency.
.png)
Case Study
Smart Street Light Network (Copenhagen)
Key stakeholders are taking a comprehensive approach to rethinking smart city innovation. City leaders have collaborated through partnerships involving government, research institutions and solution providers. The Copenhagen Solutions Lab is one of the leading organizations at the forefront of this movement. By bringing together manufacturers with municipal buyers, the Copenhagen Solutions Lab has catalyzed the development and deployment of next-generation smart city innovations. Copenhagen is leveraging this unique approach to accelerate the implementation of smart city solutions. One of the primary focus areas is LED street lighting.
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Buoy Status Monitoring with LoRa
The Netherlands are well-known for their inland waterways, canals, sluices and of course port activities. The Dutch Ministry of Infrastructure indicates that there are thousands of buoys and fixed items in and near water environments that would profit from IoT monitoring. One of the problems with buoys for example, is that they get hit by ships and the anchor cable breaks. Without connectivity, it takes quite some time to find out that something has happened with that buoy. Not to mention the costs of renting a boat to go to the buoy to fix it. Another important issue, is that there is no real-time monitoring of the buoys at this moment. Only by physically visiting the object on the water, one gains insight in its status.
