
Automotive Manufacturing

IIoT
Real-Time Machine Monitoring for Automotive Manufacturer
Problem Statement
Problem Statement
This automotive manufacturer faced critical challenges with reactive maintenance, legacy controllers, no centralized monitoring, unplanned downtime, and limited machine visibility.
Core Challenges:
1
Reactive Maintenance approach causing unexpected breakdowns
2
Legacy Controllers difficult to integrate with modern systems
3
No Centralized Monitoring across production equipment
4
Unplanned Downtime impacting production schedules
5
Limited Machine Visibility affecting operational decisions
6
Need for Predictive Maintenance capabilities
Solution Provided by PSPTech Hub
Solution Provided by PSPTech Hub
PSPTech Hub deployed a real-time machine monitoring platform with MQTT protocol integration, InfluxDB time-series database, and ThingWorx dashboards.
Tech Stack:



Real-time dashboard with color-coded machine status visualization
Live performance metrics including speed, efficiency, and count
Historical trend analysis and automated alerts
MQTT protocol integration connecting PLCs to ThingWorx
InfluxDB time-series database for persistent storage and analytics
ROI & Business Impact
40%
Less Downtime
100%
Real-Time Visibility
100%
Predictive Capability
Minimized Downtime through real-time machine status visibility
Predictive Maintenance capabilities preventing unexpected failures
Improved Operational Efficiency across production lines
Data-driven insights for continuous improvement initiatives
Why PSPTech Hub
Why PSPTech Hub
1
Deep expertise in MQTT and industrial protocol integration
2
Experience with time-series databases for manufacturing analytics
3
Proven track record in predictive maintenance implementations
Ready to Achieve Similar Results?
Let PSPTech Hub help you transform your operations with our proven platform approach.
@Copyright 2026, All rights reserved by @PSPTECH HUB Pvt Ltd.
@Copyright 2026, All rights reserved by @PSPTECH HUB Pvt Ltd.
Problem Statement
Solution Provided by PSPTech Hub
This automotive manufacturer faced critical challenges with reactive maintenance, legacy controllers, no centralized monitoring, unplanned downtime, and limited machine visibility.
Core Challenges:
1
Reactive Maintenance approach causing unexpected breakdowns
2
Legacy Controllers difficult to integrate with modern systems
3
No Centralized Monitoring across production equipment
4
Unplanned Downtime impacting production schedules
5
Limited Machine Visibility affecting operational decisions
6
Need for Predictive Maintenance capabilities
This automotive manufacturer faced critical challenges with reactive maintenance, legacy controllers, no centralized monitoring, unplanned downtime, and limited machine visibility.
Core Challenges:
1
Reactive Maintenance approach causing unexpected breakdowns
2
Legacy Controllers difficult to integrate with modern systems
3
No Centralized Monitoring across production equipment
4
Unplanned Downtime impacting production schedules
5
Limited Machine Visibility affecting operational decisions
6
Need for Predictive Maintenance capabilities
PSPTech Hub deployed a real-time machine monitoring platform with MQTT protocol integration, InfluxDB time-series database, and ThingWorx dashboards.
Tech Stack:


Real-time dashboard with color-coded machine status visualization
Live performance metrics including speed, efficiency, and count
Historical trend analysis and automated alerts
MQTT protocol integration connecting PLCs to ThingWorx
InfluxDB time-series database for persistent storage and analytics
This automotive manufacturer faced critical challenges with reactive maintenance, legacy controllers, no centralized monitoring, unplanned downtime, and limited machine visibility.
Core Challenges:
1
Reactive Maintenance approach causing unexpected breakdowns
2
Legacy Controllers difficult to integrate with modern systems
3
No Centralized Monitoring across production equipment
4
Unplanned Downtime impacting production schedules
5
Limited Machine Visibility affecting operational decisions
6
Need for Predictive Maintenance capabilities
ROI & Business Impact
40%
Less Downtime
100%
Real-Time Visibility
100%
Predictive Capability
Minimized Downtime through real-time machine status visibility
Predictive Maintenance capabilities preventing unexpected failures
Improved Operational Efficiency across production lines
Data-driven insights for continuous improvement initiatives
ROI & Business Impact
40%
Less Downtime
100%
Real-Time Visibility
100%
Predictive Capability
Minimized Downtime through real-time machine status visibility
Predictive Maintenance capabilities preventing unexpected failures
Improved Operational Efficiency across production lines
Data-driven insights for continuous improvement initiatives
ROI & Business Impact
40%
Less Downtime
100%
Real-Time Visibility
100%
Predictive Capability
Minimized Downtime through real-time machine status visibility
Predictive Maintenance capabilities preventing unexpected failures
Improved Operational Efficiency across production lines
Data-driven insights for continuous improvement initiatives
Why PSPTech Hub
1
Deep expertise in MQTT and industrial protocol integration
2
Experience with time-series databases for manufacturing analytics
3
Proven track record in predictive maintenance implementations
Ready to Achieve Similar Results?
Let PSPTech Hub help you transform your operations with our proven platform approach.


