Buildings optimize and conserve energy with BSA and Software AG
公司规模
1,000+
国家
- Australia
产品
- Cumulocity IoT
- webMethods API management
- Apama analytics
- Trend Miner
技术栈
- IoT
- API management
- Analytics
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Energy Saving
技术
- 分析与建模 - 实时分析
- 应用基础设施与中间件 - API 集成与管理
- 平台即服务 (PaaS) - 设备管理平台
适用行业
- 建筑物
适用功能
- 设施管理
用例
- 楼宇自动化与控制
- 建筑能源管理
- 能源管理系统
服务
- 系统集成
关于客户
The BSA Group is a leading provider of asset management solutions across Australia. They have expanded their services to include building integration and automation, energy management, Internet of Things (IoT), and renewable energy. BSA is committed to being an indispensable client partner, providing solutions that optimize building management and conserve energy. They have a team of mechatronics engineers, electrical engineers, software engineers, refrigeration technicians, and electricians across Australia. BSA is redefining their services and capabilities around IoT, using Cumulocity IoT and Software AG’s webMethods.io integration technology to connect buildings, systems, and sensors to collect and analyze new information.
挑战
BSA Group, a leading provider of asset management solutions in Australia, faced several challenges in their quest to optimize building management. They needed to connect disparate systems and sensors in buildings to collect and analyze new information and find efficiencies. They also needed to consolidate this information into a single view for customers and provide integration and connectivity between disparate and proprietary building systems and vendors. The goal was to reduce energy and maintenance costs for customers while addressing new revenue opportunities in the market.
解决方案
BSA Group partnered with Software AG to implement a solution that included Cumulocity IoT, webMethods API management, Apama analytics, and Trend Miner. This technology stack allowed BSA to connect buildings, systems, and sensors to collect and analyze new information. The solution enabled BSA to bring together disparate systems within a building with energy savings in mind. The solution also allowed for data-driven maintenance for HVAC units, monitoring their performance to see if they were degrading, faulty, needed repair, or replacement. The solution also enabled spot trading in response to electricity market signals, allowing the delivery of excess energy back into the local electricity grid at the optimum price-time.
运营影响
数量效益
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