IoT Based Analytics

A versatile AI agency offering end-to-end solutions across  various industries. We specialize in tailored.

Water SCADA Analytics for IoT
Asset Modelling & Predictive Analytics at Oil Refinery
Line pack Optimization in Gas Pipeline

Problem Statement

Leakage Detection and Monitoring is a key requirement of the solution, including Leakage Management. The solution should provide a single reporting platform for multiple aspects like IoT Device Malfunction, Water Quality, Water Auditing, and Water Management.

Value Proposition

Solution Strategy

IoT Streaming Data Management
  • Data Integration of IoT and IED sensor tags across various SCADA Sites
  • Centralized Database JSON API Integration
Statistical Modelling
  • Time Series Models (like ARIMA, ARMA, ESM)
  • Real-Time Visualization of IED’s and IoT sensors
  • Water Quality Parameters Forecasting
Alerting System
  • SMS and Email Alerting System for -
  • KPI Violations
  • Device Malfunction

Problem Statement

Customer intends to deploy an AI& ML platform with IOT capabilities to provide analytics Business Solutions with a holistic view of Business and Process Data across the enterprise through advanced analytic and reporting technologies.

These include quality-centric modeling, predictive asset monitoring, automatic monitoring, and alerts as well as advanced analysis of processes, best-practice workflows feature, and web-based dashboards and reports.

Advance analytics and data discovery platform solution will offer valuable insights to operation, quality, maintenance, and other business functions.

Value Proposition

Solution Strategy

IoT Streaming Data Management
  • Data Integration of IoT and Wireless sensor tags across various Sites
  • Historian Database Integration via OPC & Modbus Protocol
Asset Performance Optimization
  • Real-Time Vibration Analysis
  • Asset Performance Model
  • Preventive & Predictive Asset Maintenance
Command Control Center
  • KPI Monitoring Dashboards for all Refinery Departments like-
  • Maintenance, Operations, Finance, Technical, HSE, Quality, etc.

Problem Statement

Customers intend to deploy data-driven approach for managing the Gas Pipeline Operation and inventory.
The objective is to use advanced analytic and reporting technologies to provide an easy-to-use interface for the team, i.e., Natural Gas Management Centre.

Value Proposition

Line Pack (Inventory) Prediction: Predict line pack inventory

Solution Strategy

IoT Streaming Data Management
  • Data Integration of IoT and IED sensor tags across various SCADA Sites
  • Centralized Database JSON API Integration
Supply Chain Modelling
  • Time Series Models (like ARIMA, ARMA, ESM)
  • Real-Time Line pack Inventory Prediction (What-if Analysis)
  • Gas Reconciliation & Forecasting
Alerting System
  • SMS and Email Alerting System for -
  • KPI Violations
  • Device Malfunction
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