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Industrial Edge Platform

Infrastructure Management

Solution Group

Industry

Multiple

PoC Duration

Iotellect Match

5-10 days
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AI powered Low Code IoT/IIoT Platform

Empower your IoT/IIoT solutions and apps with a robust, scalable, and secure IoT edge platform. Collect, process, and act on real-time data from disparate devices and sensors at the edge. Seamlessly integrate with your existing systems and workflows to drive operational efficiency, reduce downtime, and optimize resource utilization. Leverage advanced analytics, machine learning, and edge computing capabilities to gain deeper insights and automate critical decision-making. And, last but not least, share your app modules and logic between edge and cloud, allowing a single dev team to handle both. Unlock the full potential of the Internet of Things for your infrastructure management needs.

Iotellect is a low-code industrial edge platform for building and running custom IoT/IIoT applications on gateways, industrial PCs, embedded computers, and other edge devices. It helps teams connect PLCs, sensors, meters, cameras, and industrial equipment, process data locally, run analytics and automation at the edge, and synchronize applications and data with cloud or enterprise systems.

Build Your IoT Application

Connect Your

IoT Edge Infrastructure

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PLCs
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Actuators
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IoT gateways
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Industrial PCs
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Touch panels
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Single-board PCs
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Embedded programmable modules
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Micro-controller Units (MCUs)
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Sensors
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Meters and monitors
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Cameras
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Industrial equipment
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Building systems
Connect Devices

Connectivity & Management

  • Direct connection and management of IoT Gateways, Industrial PCs, and Embedded Computers, leveraging Iotellect's low-code device communication setup
  • Seamless data exchange between building automation systems and remote connectivity devices using standardized communication protocols like MQTT and OPC UA
  • Edge-side data acquisition from Environmental sensors, such as temperature and air quality sensors, ensuring data integrity through encryption and buffering during cloud outages
  • Creation of a resilient data network utilizing Programmable Logic Controllers (PLCs) to maintain device stability in harsh industrial environments
  • Adaptive control of complex sensor nodes networks in smart cities to monitor vital statistics like air quality with real-time alerts to improve city management
  • Climate monitoring integration with cameras observing facility equipment for visual verification of environmental sensor alerts
  • Sensor-based predictive maintenance for motors and valve systems to reduce machinery downtime efficiently
  • Real-time power consumption analysis using meters and monitors across distributed locations for energy management optimization

Integration

  • Low code integration with existing ERP and CMMS solutions allows seamless asset management through centralized data collected by Industrial PCs and sensors
  • Flexible integration with third-party cloud services (AWS, Azure) utilizing secure REST protocols to enhance external analytic capabilities derived from meter readings
  • Customizable low-code connectors for environmental monitoring platforms aspire intelligent workplace adjustments aligning humidity levels with operator comfort
  • Embedded computer systems enable facile connections into existing SCADA architectures supporting comprehensive oversight of distributed infrastructure assets
  • Integration with public safety applications bridges data flows from surveillance cameras into incident management interfaces supporting situational awareness goals
  • IoT Gateways harmoniously interlink disjointed elements in warehousing ecosystems allowing efficiency improvements via cohesive inventory tracking methods
  • Sensor nodes merge well with municipal services enhancing response times by feeding valuable operative insights into traffic control frameworks
  • Programmable networked actuators cater adaptive modularity potential prompting retrofitting compatibility platforms enhancing older infrastructure assets without incurring substantial overheads

Analytics

  • Real-time analysis of on-site sensor data collected from IoT Gateways enhanced by Iotellect’s statistical process control for anomaly detection
  • Utilization of advanced machine learning models on data streams from industrial equipment to predict failure points before they occur
  • Execution of low-latency predictive analytics on edge devices near Industrial PCs and Embedded Computers to identify operational bottlenecks proactively
  • Agile performance insights across sensor nodes enable cost-effective resource allocation in dynamic environments by correlating rich datasets over time
  • Use of cameras powered analytics to optimize traffic flow or detect security threats within infrastructure units through motion detection algorithms
  • Temperature-based predictive analytics employing building environmental sensors data are used for real-time HVAC adjustments in smart buildings
  • Continuous evaluation of vibrational data from actuators offering early anomaly detection alerts for precision interventions reducing steep repair costs
  • High accuracy prediction models configured over PLC systems determining optimal settings dynamically for process efficiencies at large industrial setups

UI/UX

  • Development of customized dashboards providing real-time insight into sensor nodes' status within user-defined zones through graph visualization techniques
  • Touch-sensitive user interfaces designed for field technicians using graphical components displaying live data updates from onsite sensors enabling immediate actions
  • Detailed environmental condition maps integrating multi-layered datasets generate informed populace decisions adding communal value integrity granularity
  • Secure remote access empowers operators viewing plant conditions live anywhere maintaining full browser compatibility ensuring seamless interface utility regardless of device diversity
  • Visualization of layered equipment health metrics via indicators sourced from industrial cameras contributes manufacturing excellence targeting productivity enhancements directly impacting revenue streams collaboratively

Key Features of Your
IoT Edge Solution

Customers and Partners

  • System Integrators
  • Independent Software Vendors
  • Engineering Companies
  • Enterprises/Corporations
  • Original Equipment Manufacturers
  • Small and Medium Businesses

Solution Users and Developers

  • Dedicated low code developers
  • Industrial automation engineers
  • Industry-specific professionals
  • IoT/IIoT hardware developers
  • Embedded/firmware developers
  • Edge computing specialists
  • IoT and IIoT architects
Customer success team
Community
Online training

Assistance

Hydropower Predictive Diagnostics

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Related Case Studies

Hydropower Predictive Diagnostics
An Automated Predictive Diagnostics System was deployed at a major hydroelectric power station on the Iotellect platform.

Customer
Under NDA
Country
Under NDA
Industry
Power Engineering
Solution Type
Industrial Automation

Common Questions

What is an industrial edge platform?

An industrial edge platform is software that runs close to machines, sensors, and industrial equipment to collect, process, analyze, and act on operational data locally. It reduces dependence on cloud connectivity and supports faster responses, lower latency, and more resilient industrial applications.

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