Kaa delivers an essential toolkit for the Industrial Internet of Things
Future of industrial IoT (IIoT)
The Industrial IoT represents a variety of IoT applications, smart product design principles, and data-driven automation practices in the industrial sector of economy. It widely utilizes modern sensor technology to enhance different types of equipment with remote monitoring and maintenance capabilities. On a larger scale, the Industrial IoT is a key element of Industry 4.0, or smart factory, trend of automation, which brings together modern cloud computing, IIoT, and AI to create intelligent, self-optimizing industrial equipment and facilities.
Here are the benefits of IIoT applications:
The Industrial Internet of Things is a strategic priority for manufacturing companies as it allows them to give more value to their customers as well as improve cost-efficiency of their internal operations. Smart features become a major selling point for modern industrial equipment, not the least because simplifying field service and reducing TCO for the customer. Enabled with IoT, separate parts of a production line communicate with each other in near real time and makes the entire manufacturing process much easier to monitor and control. Finally, IoT promotes more flexible, open architectures that support greater customization and digital upgrades across tens of thousands of devices.
So what can reduce time and costs for IIoT project?
Kaa is an enterprise IoT platform that serves as a cloud application manager for such connected production facilities and smart products. Being hardware- and transport-agnostic, Kaa is easily integrated with a broad variety of sensors, controllers, machines, and device gateways, giving you all the benefits of cloud-based access and control over your assets. Kaa allows you to track telematics and sensor data, provision new devices and manage their lifecycle, execute remote commands and run OTA updates, create smart rules for autonomous device behavior, and many more.
On the connectivity and data processing levels, Kaa offers an out-of-the-box support of modern protocols, such as MQTT, and can be used together with popular data management systems and databases for seamless integration with your existing backend. Its open interfaces allow you to minimize integration and DevOps chores and rapidly assemble end-to-end IoT applications for industrial systems automation, predictive maintenance, and remote monitoring. Kaa also provides a flexible web dashboard tool for setting up data visualization widgets, which simplify production monitoring routines for your operators and managers.
Industrial automation makes a new evolutionary breakthrough with the
help of IoT. Are you there yet?
The Industrial IoT can shield industrial systems from downtime by detecting the earliest signs of malfunction and preventing their aggravation.
Installing IoT sensors into industrial systems allows operators to know what’s going on with the equipment in near real-time, and with high accuracy. Connected through Kaa, these sensors provide you with an in-detail reporting over the equipment status, performance, security, and so on.
Conducting regular equipment health check-ups gets easier too, since a big chunk of work can be done remotely and with greater accuracy.
When we can predict problems we can prevent systems going down. With the IoT, every single machine can be transparent to your eye.
- Performance and device health data monitoring
- Predictive maintenance
- Remote troubleshooting
- Smart alerts and notifications
- Perimeter security and access controls
The field operations are the ones to experience most dramatic quality impact from embracing IoT. The telemetry data collected from equipment is a rich source of actionable information from technicians. Based on the analysis of this telemetry data the field ops may make an informed decision whether a piece of equipment requires any service. That is a major improvement over the old modus operandi with massive overservice and excessive truck rolls.
Even for the cases when the service is actually required, the efficiency is largely improved by more precise and expedite failure root cause analysis powered by sensor data and the electronic service history record. That results in a better customer service, satisfaction, and loyalty.
However, with IoT you no longer even have to wait for failure to occur. In many cases proper analysis of data feeds coming from the equipment can lead to indications of possible future malfunction, and proper preemptive maintenance actions can remedy the incident even before it happens.
- Remote monitoring and troubleshooting
- Predictive maintenance
- Continuous product improvement through identification of weak spots and typical usage scenarios
- Data-driven warranty extension and claim validation
- OTA updates, A / B testing of different device software
According to the World Economic Forum’s Industrial Internet Survey, optimizing asset utilization ranked the top reason to adopt IIoT technology, with 79% of respondents citing “extremely important” or “very important” for near-term adoption.
By enabling cloud capabilities for your equipment with Kaa, you can monitor and control your workflows in a remote manner as well as set up automation rules to optimize your assets utilization. You can also take advantage of comprehensive performance analytics to introduce timely adjustments to your production routines and use historical data to optimize planning.
Additional cost savings can come from better energy practices, managing the energy usage for peak, off-peak, and zero service periods.
- Programmable automation for different kinds of industrial equipment
- Factory-wide performance analytics
- Device management via digital twins
- Smart lighting and smart metering
Smart factory is the ultimate goal of Industrial IoT transformation in the domain of manufacturing but achieving it will require strategic adoption of several other keystone technology trends. One of them is an intelligent edge. It is a decentralized networking within the Industrial IoT ecosystem, in which edge devices perform their part of data processing workloads before transmitting results to the cloud. Such network topology allows for more sophisticated IoT workflows within limited network resources, ensures that your devices can operate without interruption if getting offline, and reduces latency for critical operations.
Another essential technology bundle for smart factory is AI and machine learning. The most popular modern AI applications include voice and image recognition, robotic process automation, quality control, and autonomous robots. As they gain more traction, AI algorithms will let industrial systems continuously improve their operations and find new ways for cost-efficient autonomy. AI is also expected to lift off the burden programming and configuring f millions of devices in the field from our shoulders, in this way accelerating further growth of Industrial IoT and smart factory innovations.
- Applications for intelligent edge
- Machine learning and AI applications
- Robotic process automation
- Smart factory system integration