Iotellect - Solution

Solution Group

Industry

Upstream

Oil and Gas

PoC Duration

Iotellect Match

20-40 days

AI powered Low Code IoT/IIoT Platform

Maximize uptime and operational efficiency of ESP units with a comprehensive predictive maintenance solution based on an advanced IIoT platform. Monitor critical parameters, detect anomalies early, and schedule maintenance proactively to avoid costly failures and unplanned downtime. Leverage advanced analytics and machine learning to provide actionable insights, enabling you to optimize pump operations and maximize your or your customer's return on investment.

Iotellect is a low code IoT/IIoT platform and ecosystem that includes out-of-the-box industrial automation and digitization products, such as SCADA, BMS and BI. It allows business-oriented IoT professionals to join the solution development process by converting their Industry 4.0 knowledge directly into product features and specific value delivered to your end customers.

Build Your IoT Application

Connect Your

Submersible Pulser Predictive Maintenance Devices

Flow meters

IIoT gateways

Temperature sensors

Pressure sensors

Vibration sensors

PLCs and RTUs

Submersible pumps and pulsers

Power quality meters

Touch panels and HMI devices

Connect Devices

Automatically connect submersible pumps and pulsers with support for standardized industrial protocols such as Modbus and OPC UA
Power quality meters and vibration sensors utilize Iotellect Edge for local data processing, ensuring real-time diagnostics and operational uptime
Efficiently manage wireless sensor networks through the context tree, providing a hierarchical view of power quality meters and flow meters
Utilize edge computing devices to reduce latency and process vibration sensor data locally, ensuring timely alerts for potential issues
Enable seamless integration of pressure sensors with smart scheduling capabilities to optimize maintenance windows based on machine learning predictions
Connect temperature sensors for real-time monitoring and auto-calibration based on historical temperature trends, enhancing predictive accuracy
Use asset performance management software for centralized control over pump operation metrics, streamlining resource allocation
Deploy edge computing devices to prioritize data processing from critical sensors during network outages, maintaining operational continuity

Connectivity and Management

Facilitate integration with ERP systems via low code connectors, linking asset data with enterprise planning for optimized inventory management
Enable communication with SCADA systems through flexible southbound integrations to coordinate submersible pump operations inclusively
Streamline engineering workflows by integrating asset performance data into Computerized Maintenance Management Systems (CMMS) effortlessly
Offer continuity in business intelligence insights by integrating pumps' operational metrics directly into pre-existing dashboard solutions
Allow integration with Geographic Information Systems (GIS) to visualize sensor data geographically, enhancing site-wide situational awareness
Implement northbound integrations linking pump maintenance schedules into ERP solutions, aligning accounting and resource distribution effectively
Use direct protocol support for connecting temperature sensors with existing BMS systems, yielding consistent environmental control strategies
Provide low code integration with energy management solutions to monitor power quality across all connected device networks

Integration

Real-time anomaly detection in pump operation using statistical process control powered by Iotellect's low-code expression language
Predictive maintenance algorithms continuously evaluate historical data patterns from pressure sensors to forecast system failures
Analyze data from temperature sensors using integrated machine learning models to predict overheating based on environmental factors
Evaluate vibration patterns with complex event processing to dynamically adjust maintenance plans, avoiding unplanned downtimes
Leverage power quality meter analytics to assess electrical efficiency across pump operations, minimizing energy consumption
Use flow meters to predict upcoming maintenance needs by analyzing deviations in flow rates over time compared with historical trends
Conduct root cause analysis for mechanical failures using integrated query languages on data collected from various sensory inputs
Apply predictive analytics models to optimize schedules for asset performance management software, enhancing long-term operational efficiency

Analytics

Custom dashboards present composite pump health metrics with detailed breakdowns of key performance indicators in real-time
Utilize a web-based designer to rapidly develop components visualizing pressure variances on dynamic heatmaps layered over geographical maps
Enable intuitive drag-and-drop configurations of visual dashboards showing vibration data streams within centralized operator screens
Facilitate user-defined alert settings for conditional triggers involving temperature spikes displayed through interactive reporting dashboards
Support granular control over layout settings in an edge-deployed user interface designed for mobile accessibility across operations personnel devices
Implement a print-friendly mode that outputs high-resolution operational summaries tailored for boardroom presentations and external audits
Display historical trends in a component interface allowing operators to engage deeper with specific time spans into pump operations

UI/UX

Key Features
of Your Submersible Pulser Predictive Maintenance Solution

Customers and Partners

System Integrators
Engineering Companies
Oil and Gas Companies
Oilfield Services Companies
Predictive Maintenance Providers

Solution Users and Developers

Dedicated low code developers
Data scientists and analysts
Predictive maintenance experts
Oil and gas professionals
Field technicians

Customer success team

Community

Online training

Submersible Pulser Predictive Maintenance