The Challenge of Managing Data
Traditional remote monitoring solutions only collect data about one component of a site; just repeaters for instance, and not all of the related equipment that relates to overall system performance and which may create system failure points. Without an end-to-end dataset of the full site, it’s likely you will still require sending a technician out to manually investigate every alarm or reported issue. This not only incurs the cost of additional truck rolls but also lost revenue during system downtime.
Having a monitoring system that continuously collects and stores the mass amounts of the data your communications system and site generates can prove to be extremely valuable to your operation. However, the amount of data these systems collect is far beyond what any one person or team could turn into useful information.
The Evolution of IIoT and the Resulting Data Challenge
The Industrial Internet of things (IIoT) has been growing at a remarkable rate with the number of IoT devices expected to be over 30 billion by the end of 2020. These interconnected devices have proven their value to consumers by making our day-to-day lives more efficient.
Industrial operations are now experiencing the many benefits of utilizing connected devices, machines, and sensors. These interoperable systems provide, transfer, and analyze large amounts of data to deliver useful insights to help increase operational efficiency and productivity. Getting the data in a timely and usable fashion is the first challenge. Actually getting the value from the fast-increasing mountain of data is the next challenge.
Collected data is turned into actionable information that helps guide operational decision making. Leading Industrial IoT employs advanced edge computing and machine learning capabilities to deliver on this promise. Data sets are analyzed at lightning speeds and are processed through private encrypted IP communication links to ensure end-to-end network security.
RimotRF: A Leading Example of Industrial IoT and Data Analytics
RimotRF is a turnkey remote monitoring service for wireless transmitter sites that provides continuous data collection for better real-time decision making, and overall smarter remote asset management. The ultimate goals for RimotRF are to decrease downtime of the system, decrease the cost to manage the site, and improve the overall site reliability.
RimotRF is designed to monitor the entire ecosystem of a site, delivering a consistent flow of data for critical wireless voice and data site infrastructure, such as:
- Two-way radio repeaters and transmitters, analog and digital
- Motorola MOTOTRBO repeaters
- Aviation and marine radios
- Site shelters
- Generators, tower lighting, and other supporting site equipment
To ensure overall system health and reliability, an effective monitoring solution must collect and analyze data for the transmitter site, the transmitter(s) themselves, and the antenna system plus all the factors that influence the site. More specifically the datasets should include:
- Temperature – is the heating or cooling keeping in range for equipment and batteries
- Humidity – what is the relative humidity and is it within range for electronic equipment
- AC Mains – is the primary AC line power available
- Motion – is a person (or unexpected creature) in the shelter
- Forward Power – is the transmitter producing the power it is expected to and licensed for
- Reflected Power & VSWR – Voltage Standing Wave Ratio is a good measure of the health of the antenna system
- I/O Activities – general purpose Input / Output and control, with consistent labels for data analytics
- Utilization – what is the activity of the repeater or transmitter
RimotRF captures a continuous stream of data to monitor key aspects of your wireless transmitter sites by using site sensors and private encrypted IP communication links. Weather and lightning data are also integrated into our remote monitoring service to provide context and an overall picture of what’s happening in the field and reveal any contributing factors for system malfunctions.
The Present & Future of Remote Monitoring
RimotRF has been designed to monitor critical site infrastructure at a low monthly cost (about the cost of a cell phone) with simplified installation and intuitive use. A typical system can be installed and running in as little as an hour, without pre-engineering. Data insights are presented under a single pane of glass for easy access from anywhere, any time, on any device.
The next phase in remote monitoring is to refine data insights with predictive analytics aimed at making predictions about future outcomes based on machine learning.
The Rimot team will be attending the upcoming International Wireless Communications Expo (IWCE), now tentatively rescheduled for August 24-28, 2020. As North America’s premier critical communications event for over 40 years, it features a five-day conference program with nearly 400 exhibitors and 6,500+ industry professionals from around the world.
Rimot’s Co-Founder and Chief Technology Officer, James Craig, is a panelist at IWCE, speaking on the successful monitoring of communications systems using the Internet of Things (IoT) and analytics. Rimot will also have a booth at the IWCE Expo.
Learn more about how to successfully collect, manage and benefit from operational IoT data collection by booking a free demo.