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IoT Analytics and Machine Data Integration

Solution Group

Industry

Industrial Enterprise Management
Manufacturing

PoC Duration

Iotellect Match

1-3 days
AI powered Low Code IoT/IIoT Platform

Boost operational efficiency of IoT products and solutions through in-depth analytics and automated insights discovery. Optimize resource utilization, minimize downtime, and cut costs by anticipating maintenance needs and improving energy efficiency. Enhance product quality by detecting defects early, harmonize asset management, and accelerate time-to-market. First analyze data straightly on the edge, then enable aggregation, processing and deep analysis on the way to the private or public cloud. Follow a unique curve in every solution: optimizing the storage of harvested crops is totally different from orchestrating transactions in a smart grid or managing a fleet of forklifts.

Iotellect is a low code IoT/IIoT development platform. It does not work as an out-of-the-box solution or product. Instead, it helps you to monetize your IoT know-how by dramatically lowering labor costs and cutting time-to-market for your product, service, or solution. It allows business-oriented IoT professionals to join the development process by converting their IoT market knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

IoT Devices and Data Sources

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Sensors and sensor hubs
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Cameras and AI-vision systems
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Network and IT infrastructure equipment
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Smart machines and equipment
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Connected and autonomous vehicles
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Consumer devices and electronic appliances
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Connectivity modules and units
(Wi-Fi, Bluetooth, cellular, LPWA, etc.)
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Data storage and processing infrastructure
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Wearables and mobile devices
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Smart meters and monitoring appliances
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Industrial gateways and PCs
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Robots and automated machinery
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Building and facility automation systems
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Displays, touchscreens, and other visualization devices
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Smart city infrastructure
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MCUs and single-board computers
Connect Devices

Connectivity & Management

  • Support for multiple communication protocols (e.g., Wi-Fi, Ethernet, MQTT, OPC-UA, Modbus, Bluetooth, and Zigbee) to connect various industrial devices, sensors, and machines
  • Facilitation of real-time data streaming from machines and IoT sensors, enabling instant monitoring and control of manufacturing processes
  • Support for edge computing devices to process data locally, reducing latency and improving real-time decision-making
  • Provision for large-scale deployment by managing thousands of IoT devices and sensors across multiple locations from a central platform, ensuring easy scalability as operations grow
  • Recording of operational data and system events for auditing and troubleshooting purposes
  • Provision for over-the-air (OTA) updates to ensure devices run the latest firmware and software, improving performance and security without disrupting operations

Integration

  • Low code integration with Supply Chain Management (SCM) systems
  • Low code integration with Energy Management Systems (EMS)
  • Low code integration with Industrial Control Systems (ICS)
  • Low code integration with Product Lifecycle Management (PLM) systems
  • Low code integration with workforce management systems
  • Low code integration with SCADA systems
  • Low code integration with Manufacturing Execution Systems (MES)
  • Low code integration with Quality Management Systems (QMS)

Analytics

  • Usage of machine learning models to analyze historical and real-time machine data, predicting equipment failures before they happen
  • Identification of unusual patterns or deviations in machine performance (e.g., abnormal temperature, pressure, or vibration levels) using AI algorithms
  • Analysis of past machine performance, production output, and resource usage to identify trends, inefficiencies, or recurring issues
  • Usage of process optimization analytics to identify bottlenecks, optimize production workflows, and improve throughput by analyzing data from machines, sensors, and production lines
  • Data analysis for identification of the root causes of equipment failures, production delays, or quality issue
  • Prescriptive analysis for actionable recommendations regarding improving operational efficiency, such as adjusting machine settings or reallocating resources to optimize output
  • Tracking of key performance indicators such as availability, performance, and quality to calculate OEE, giving manufacturers insights into how effectively their machines and equipment are utilized
  • Correlation of data from different machines, production stages, and external systems (e.g., weather, supply chain) to gain comprehensive insights into operational performance and external influences on production efficiency

UI/UX

  • Visual representation through dynamic charts, bar graphs, line graphs, and gauges, making complex data more understandable and actionable
  • Provision for multi-level drill-down from high-level overviews to specific machine details or production metrics, enabling a more in-depth analysis of issues or opportunities
  • Visualization of machine performance and resource consumption across the factory floor, allowing users to identify bottlenecks or inefficiencies
  • Easy filtering of data, search for specific machines or metrics, and view only the most relevant information to streamline decision-making
  • Provision for visual and audible alerts on the dashboard when predefined thresholds are breached, such as machine temperature, vibration, or downtime, prompting immediate action
  • Overlay of different datasets (e.g., temperature vs. production rate) to identify correlations, trends, or anomalies

Key Features for Your
IoT Analytics and Machine Data Integration Solution

Customers and Partners

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

Solution Users and Developers

  • Dedicated low code developers
  • Industry-specific professionals
  • Data scientists and analysts
  • IoT/IIoT hardware developers
  • IT infrastructure experts
  • IoT and IIoT architects
  • Industrial and facility automation engineers
Customer success team
Community
Online training

Assistance

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Meet

Start building your IoT app or service by creating a new Application, or continue an already existing project

Install even more modules, plugins, and drivers from the integrated Marketplace

Configure and control every aspect of your Iotellect Server and manage its users with administration tools

Keep an eye on Server health and analyze its performance with the Monitoring dashboard

Find detailed tutorials on using the Platform and answers to a wide variety of questions in the Knowledge Base

Get inspiration from the practical examples found in the IoT business case Demos

Level up your Iotellect skills with the Platform Training Events and share your Platform experiences with our Community

Create and manage resources, set up the deployment environment, and configure the application from a single dashboard

Access the properties, configurations and countless features of every resource used in your current project from the Application Resources tree

Try the Tutorial on how to create a simple IoT application to understand the basics of building a functional IoT solution with Iotellect

Access the properties, configurations, and countless features of every resource in your Iotellect Server from the System Tree

Configure and control every aspect of your Iotellect Server and manage its users with Administration tools

Keep an eye on Server health and analyze its performance with the detailed Monitoring dashboard

Home Screen

Quickly access everything you need, whether starting a new session on the Platform or continuing from where you left off

Development

Build IoT applications of any complexity with ease in a simple, yet powerful, dedicated workspace

Administration

Manage and monitor your Iotellect Server instance, its users and all created resources

improve your business with a perfectly self-tailored

or win more clients with a new

market product

in-house service

Open Demo
Proved Worldwide
Across Industries
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15 000 000 000 000+

data samples collected and processed

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25 000 000+

devices under monitoring and supervision

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40 000+

types of devices and data sources connected via more than 50 supported communication protocols

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300+

SaaS and on-premise partner products created

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80+

countries leverage Iotellect technology

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