Remote and On-Site Industrial Systems Monitoring

Remote and On-Site Industrial Systems need to be monitored for function, performance, operations, and results. But until now, that’s been an overwhelming challenge. It’s been a classic `Tower of Babel,’ with a range of competing vendor and industry vertical solutions that, despite some claims, simply do not plug and play. Triotos Industrial IoT (IIoT) -based monitoring solution addresses this challenge.

Understanding the Challenge

Modern Industrial systems often come with built in monitoring solutions. Sometimes they support more widely used industrial interfaces such as MODBUS that allow them to be connected to supplier or third-party monitoring solutions. While these capabilities can be used to develop sophisticated monitoring solutions they are often complicated to use, and expensive to integrate, with different suppliers supporting different capabilities. In addition, some desired information may not be available at all from these vendor systems or systems that claim to integrate different products.  So, additional instrumentation and sensors/data collection capabilities and additional expensive integration have to be added to the equation.

Building these monitoring solutions for large industrial sites poses further challenges as existing communication and connectivity may not support the needed range of bandwidth. And, implementing and operating such a system remotely with sites and systems across a region or country can push a workable solution out of reach.

Overlay Systems Monitoring — an Evolved Answer

What if there were a better way? Triotos has examined this challenge and developed an answer, the Industrial IoT overlay Systems Monitoring Solution. As the name implies this solution can be simply applied with or “overlaid” on an existing installation and sites without massive investment and integration costs.

An overlay solution addresses some of the most difficult challenges in delivering the most critical functions required for a successful IoT implementation.

First and foremost, it helps ensure delivery of IoT applications that actually meet the needs of users, whether operational managers, field technicians, support engineers, business analysts, administrators, or executives.  In other words, the applications are made available in the right format, on the right device, and with the right timely relevant actionable information that each user wants.

IoT in Production and Manufacturing

IoT in Production and Manufacturing is guaranteed to improve these critical functions. Download to know more

Additionally, the Industrial IoT overlay Systems Monitoring Solution delivers:

  • An IoT data model and associated data gathering capabilities designed together with each customer and customized for that customer’s specific needs.
  • Industrial IoT gateways and devices designed to easily integrate with the customer’s systems. These gateways connect with customer systems over serial or LAN connectivity using existing protocols as well as connecting devices with sensors or simple general-purpose input-output functions like open/close or electrical levels. Establish connectivity using new wireless or wired connectivity avoiding integration and security issues associated with existing internal networks.
  • An IoT platform that handles all the data gathering, processing, and storage of the IoT data. A processing architecture that then processes and converts raw data to meaningful data, events, alarms, and information that can be used for applications, machine learning and analytics. And, of course, a processing architecture that uses edge processing available in IoT gateways/devices to optimize data flows and efficiency.
  • A secure scalable application that will meet the customers needs today and in the foreseeable future.

In summary – an existing IoT solution that can be overlaid on the customer’s current installations and sites without massive investment and integration costs offers compelling advantages in terms of cost, ease of implementation, and reliability.

Triotos Solution – Built on our Reference Architecture

Our Industrial IoT Reference Architecture is built around Amazon’s AWS IoTcore platform and associated applications/software for data management, time series storage & analytics, machine learning, and tools for information presentation as well as services for messaging and email.

On top of this we have created a complete set of applications for data/event monitoring, analytics, administration, and management of the IoT solution as well as user, device, and application provisioning. In addition to the extensive AWS IoT security architecture, we are integrated with AT&Ts extensive mobile offering for secure high speed and low speed data connectivity.

By starting with an already existing reference architecture augmented with tools for rapid development and integration we will bring up a complete IoT implementation for you in months instead of the typical year an internal effort would take. Working closely with your IoT team and using an agile approach we will start delivering your IoT applications, designed for your specific needs, in weeks rather than months. As we are already starting with a fully deployed reference architecture, we can do this at a very competitive price point and offer it as a solution owned by you or hosted on our AWS multi-tenant platform.

So, whether you are a supplier of Industrial Systems or want to Monitor your Industrial Systems and Sites, Triotos can bring you the complete IIoT solution you need for your business.

IoT in Production and Manufacturing

IoT in Production and Manufacturing is guaranteed to improve these critical functions. Download to know more

How it works

Data Monitoring

The Data/Event Monitoring application is the dashboard for your IoT data as it is generated by your IoT devices. Apart from data status, the application provides a page for each device showing historical data and events as well as meaningful statistical analysis and actionable information. Information is shown in pods that are customized for each specific use case and evolve over time. Key features:

  • Current & Historical information
  • Site/Sensor Mapping with pop-up and click-through functionality
  • Color-coding states to reflect operational status
  • Device Dashboard for high visibility
  • Event & Alarm historical capture
  • Integrated messaging (Phone/Email)

System Monitoring

The System Monitoring application is your IoT-NOC (Network Operation Center) which provides current and historical operational status for all IoT devices, connectivity, processes, and applications. It has configurable alarm levels to notify personnel of operational issues as well as testing and monitoring functions. Information is shown in pods that are customized for each specific operational case and evolve over time. Key features:

  • Color Coded Display of Supported Systems for increased visibility
  • Operational Status with drill down menus for detailed views
  • Status of All Systems
  • Direct Management of Alarms and Faults

Provisioning overview

The Administration application is the dashboard for managing users assigning user roles with specific privileges and access using secure password creation and also supporting direct, one step or two step authentications. It is also the application for provisioning new IoT devices and providing one stop end-to end provisioning of devices to all applications. Once provisioned, a new device will start delivering it’s IoT data to the existing applications. The application has easy to use UIs showing existing users, devices with simple click through menus for adding users and devices. Key features:

  • User Administration interface
  • User Access and permission for all applications
  • End to end provisioning
  • Devices & Pipeline?
  • Manual or Augmented?
  • Forms versus Mobile Applications?
  • Update Management


The Analytics application is the dashboard for deeper information about your IoT data gained from using advanced analytics, machine learning and AI tools. Tools used are Kinesis, Elasticsearch, S3 and Deep Learning AMIs. Information is shown in pods that are customized for each specific use case and evolve over time. Key features:

  • Configurable PODS
  • Analytics of Stored Data
  • Data Base & Data Lake
  • Time Series Analytics
  • Real-time Analytics
  • Machine Learning Analytics

Triotos IIoT Solutions Brochure

Download our Industrial IoT brochure to learn more on the 6 verticals Triotos help their customers achieve complete automation.