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Brett Landscaping & Building Products Leverages IoT for Smarter Decision-Making
技术
- 分析与建模 - 大数据分析
- 传感器 - 触觉传感器
适用行业
- 建筑物
- 水泥
适用功能
- 物流运输
- 销售与市场营销
用例
- 楼宇自动化与控制
- 时间敏感网络
挑战
为了做出明智的决策，公司必须了解自己的盈利能力。复杂的收入和成本结构迫使布雷特执行繁重的电子表格工作，以获得支出的真实可见性。
关于客户
Brett 园林绿化和建筑产品是 Brett 集团的一个重要部门，Brett 集团是英国最大的独立建筑和建筑材料集团之一。
解决方案
Brett 聘请 IBM 高级业务合作伙伴 Assimil8 帮助其构建提取、转换和加载 (ETL) 解决方案，以整理来自 ERP 系统的数据以及第三方回扣和运输数据。接下来，该公司部署了 IBM® Cognos® Business Intelligence 分析软件，该软件可实现快速、自动化的报告，并设置一系列自动化关键业务报告。
运营影响
数量效益
相关案例.
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Case Study
System 800xA at Indian Cement Plants
Chettinad Cement recognized that further efficiencies could be achieved in its cement manufacturing process. It looked to investing in comprehensive operational and control technologies to manage and derive productivity and energy efficiency gains from the assets on Line 2, their second plant in India.
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Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Commercial Building Automation Boosts Energy Efficiency
One of the challenges to building automation is the multitude of non-interoperable communications protocols that have evolved over the years. Buildings have several islands of automation. Bridging the islands of different automation without losing the considerable investment in each specialized control network is the main focus in this solution.
