Parallel Redundancy System for Critical Conditions Monitoring and Alerting

Abstract

Monitoring critical conditions is of outmost importance in any system for achieving long life and stability. In this process, various parameters can be classified as critical and their values must be kept within a bounded interval by means of monitoring and acting upon a change in the value. A practical example of critical conditions monitoring is temperature monitoring in data centers (server rooms) where the temperature value must be kept below a certain threshold in order to achieve long life and stability of equipment. This paper presents a system designed for monitoring temperatures and alerting of their critical values is proposed – PRSMA. With a parallel redundancy feature that guarantees high reliability of the proposed solution, this approach achieves timely alerting upon critical condition, real-time supervision of temperature values and forecasting of critical conditions. The redundancy aspect is realized by using a mobile operator link alongside with the Internet-based landline connection to a cloud-based service – the Internet of Things concept. The proposed architecture is tested in laboratory conditions and the advantages of this approach are shown through measurement and testing.