Wi-Fi Enabled Asset Surveillance System using Internet of Things

Achmad Kathri Sansyah, Stephany Octaviani Ngesthi, Bernadus Sandy Pratama Putra Ardany, Gunawan Dewantoro
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Abstract

Asset management is one of the most significant concerns in companies for controlling their moveable assets. However, most companies still deal with this in an inefficient way, such as manual recording or on-the-spot inspection, which is prone to human errors. This study proposes an assets surveillance system which is able to identify the assets movement statuses using a Wi-Fi network. A Wemos transmitter is mounted on each asset to be monitored and connected to the receiver through Wi-Fi signal. These tools are also connected to the internet via website to do real-time monitoring in client-side. The received signal strength indicator (RSSI) of Wi-Fi signal is measured and translated to distance information. Whenever the transmitter is out of the Wi-Fi range, a notification will pop up with ringing sound on website as it indicates that the asset is moved to another place. All activities are recorded automatically in the history. The results show that the website and notification system run properly. The maximum distances for the Wemos to detect is 12 meters, and the detection is performed at the average of 8.09 seconds. This system can be applied in companies to provide a secure, effective, and accurate way, comparing to the past manual asset management.
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使用物联网的Wi-Fi资产监控系统
资产管理是企业控制其流动资产最重要的问题之一。然而,大多数公司仍然以低效率的方式处理这些问题,例如人工记录或现场检查,这很容易出现人为错误。本研究提出了一种资产监控系统,该系统能够使用Wi-Fi网络识别资产的移动状态。weemos发射器安装在每个待监控资产上,并通过Wi-Fi信号与接收器连接。这些工具还通过网站连接到互联网,在客户端进行实时监控。测量Wi-Fi信号的接收信号强度指标(RSSI)并将其转换为距离信息。每当发射器不在Wi-Fi范围内时,网站上会弹出铃声通知,表示资产被转移到另一个地方。所有活动都自动记录在历史记录中。结果表明,网站和通知系统运行正常。Wemos的最大探测距离为12米,平均探测时间为8.09秒。该系统可以应用于企业,相对于以往的手工资产管理,提供了一种安全、有效、准确的方式。
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