Powering the Future of Smart Cities with IoT Smart Lighting: A Case Study on SSE's Mayflower Smart Control
Technology Category
- Networks & Connectivity - Cellular
- Networks & Connectivity - ZigBee
Applicable Industries
- Cities & Municipalities
- Equipment & Machinery
Applicable Functions
- Maintenance
Use Cases
- Predictive Maintenance
- Smart Lighting
Services
- System Integration
The Customer
SSE Enterprise Contracting
About The Customer
Mayflower Smart Control is a part of SSE Enterprise Contracting, a company that drives forward the UK smart city scheme. They provide a 21st-century green solution for the management of highway lighting and illuminated equipment. Their market-leading products combine LED replacement with a Central Management System (CMS) installation to reduce CO2 emissions, energy, and cost spends for Local Authorities in the UK and Ireland. The Local Authorities control streetlights remotely from a web-based user interface where messages travel from the back-office application, via a cellular GSM connection, to a gateway unit (referred to as a Sub Master). The Sub Master utilises ZigBee connectivity to deliver messages to around 500 individual lights.
The Challenge
Mayflower Smart Control, a part of SSE Enterprise Contracting, was tasked with providing a green solution for the management of highway lighting and illuminated equipment. The company's connected devices offered a range of smart city applications, including environment and weather monitoring, refuse collection assistance, parking, road surface temperature sensing, and traffic counting. However, they were running restricted operations with a single local network SIM card across its connected product range. They identified the need for a centrally controlled and monitored system for public lighting installations, which would offer enhanced visibility, predictive maintenance, and a green solution for energy consumption.
The Solution
Mayflower Smart Control chose Eseye as their cellular connectivity provider, due to their global coverage, centralized network, and easy deployment. Eseye's ubiquitous connectivity provided Mayflower with the reliable infrastructure needed to scale its smart lighting solution across the UK. The solution involved the use of the AnyNet+ SIM card, which is programmable and comes pre-loaded with ten IMSI profiles, enabling reliable connectivity from multiple networks. Eseye's IoT connectivity management platform allowed Mayflower to remotely monitor its devices and view metrics from each individual lighting unit or aggregated for the entire estate. This provided detailed information on device performance, data sessions, and events, which could be used to control costs and improve operations. Additionally, Eseye provided Mayflower with a single price, contract, and bill for its whole estate, simplifying IoT deployments.
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.
Case Study
Smart Water Filtration Systems
Before working with Ayla Networks, Ozner was already using cloud connectivity to identify and solve water-filtration system malfunctions as well as to monitor filter cartridges for replacements.But, in June 2015, Ozner executives talked with Ayla about how the company might further improve its water systems with IoT technology. They liked what they heard from Ayla, but the executives needed to be sure that Ayla’s Agile IoT Platform provided the security and reliability Ozner required.
Case Study
IoT enabled Fleet Management with MindSphere
In view of growing competition, Gämmerler had a strong need to remain competitive via process optimization, reliability and gentle handling of printed products, even at highest press speeds. In addition, a digitalization initiative also included developing a key differentiation via data-driven services offers.
Case Study
Predictive Maintenance for Industrial Chillers
For global leaders in the industrial chiller manufacturing, reliability of the entire production process is of the utmost importance. Chillers are refrigeration systems that produce ice water to provide cooling for a process or industrial application. One of those leaders sought a way to respond to asset performance issues, even before they occur. The intelligence to guarantee maximum reliability of cooling devices is embedded (pre-alarming). A pre-alarming phase means that the cooling device still works, but symptoms may appear, telling manufacturers that a failure is likely to occur in the near future. Chillers who are not internet connected at that moment, provide little insight in this pre-alarming phase.
Case Study
Premium Appliance Producer Innovates with Internet of Everything
Sub-Zero faced the largest product launch in the company’s history:It wanted to launch 60 new products as scheduled while simultaneously opening a new “greenfield” production facility, yet still adhering to stringent quality requirements and manage issues from new supply-chain partners. A the same time, it wanted to increase staff productivity time and collaboration while reducing travel and costs.
Case Study
Integration of PLC with IoT for Bosch Rexroth
The application arises from the need to monitor and anticipate the problems of one or more machines managed by a PLC. These problems, often resulting from the accumulation over time of small discrepancies, require, when they occur, ex post technical operations maintenance.
