Occupancy Management Solution

本研究的主要目的是创建一个低成本，实时的解决方案，便于监控特定网站的占用率。第二个目标是测试嵌入式系统，并验证传感器和基于云的监控系统之间的连续通信。该解决方案将使企业和组织能够主动计划和安排占用消费。该学术机构将获得物联网（IoT）和大数据学科的具体实践知识。该合作伙伴将受益于简化其（物联网）传感器开发和现实世界的采用。功耗是所提出的系统的一个关键特征。该解决方案是物联网和工作空间监控系统（WMS）的组合。该系统对座位、房间和建筑物的占用情况进行实时监测和分析。它可以帮助组织（1）定义与组织目标和用户需求和期望相一致的工作场所战略（2）优化工作空间的使用以降低成本（3）有效管理真实的资产（指数增长预测）以及（4）收集历史数据以提供有价值的见解。这个具有成本效益的系统由嵌入式传感器、通信和基于云的物联网分析仪表板之间的相互关联的循环组成。

The main purpose of this research is to create a low-cost, real-time solution that facilitates monitoring occupancy of the specific sites. The second objective is to test the embedded system and validate the continuous communications between sensors and cloud-based monitoring system. This solution will enable businesses and organizations to proactively plan and arrange occupancy consumption. The academic institution will gain specific practical implementation knowledge in the internet of things (IoT) and big data disciplines. The partner will benefit from streamlining their (IoT) sensor development and real-world adoption. Power consumption is a key feature of the proposed system. The solution is a combination of IoT and Workspace Monitoring System (WMS). This system performs real-time monitoring and analyzing of the occupancy of seats, rooms and buildings. It helps organizations to (1) Define workplace strategy aligned with organizations goals and user needs and expectations (2) Optimize the use of workspace to reduce costs (3) Effective management of real estate (exponential grow prediction) and (4) Gather historical data to provide valuable insights. This cost-effective system consists of interrelated cycles between embedded sensors, communications and cloud based IoT analysis dashboard.