Overview
Automating Remote Water Level Control
Efficient water management is a challenge when the source and the control point are miles apart. SVR Robotics, an automation company, faced this exact situation they needed to remotely monitor water levels and automatically control a valve motor located 2.5 km away, all while ensuring real-time reliability and zero manual intervention.
This is where Macnman Technologies stepped in, bringing the MacSync and MacSet system into action a seamless LoRa-based communication link that made remote automation possible even in signal-challenged industrial zones.
The starting point
Problem: Disconnected PLCs Hindering Industrial Automation
SVR Robotics faced challenges in automating processes across two PLCs separated by 2 km in an industrial setup. Existing systems could not communicate reliably, causing delays and inefficiencies in valve and controller operations.
01
Disconnected Control Systems
PLCs could not exchange real-time data over long distances.
02
Manual Intervention Required
Operators had to monitor and trigger processes manually, slowing down operations.
03
Operational Inefficiency
Delays in data transfer led to suboptimal valve and controller performance.
04
Risk of Errors
Lack of automated communication increased the chance of human error in critical operations.
The approach
Proposed Solution: Smart LoRa-Based Water Level Automation System
To overcome the manual and disconnected process, Macnman Technologies and SVR Robotics collaborated to design a LoRa-based water level monitoring and valve control system powered by MacSync and MacSet controllers.
01
Real-Time Water Level Monitoring
MacSync node continuously measured and transmitted live water level data using LoRa communication.
02
MacSet PLC Integration
MacSet controller received LoRa data packets and communicated with the PLC over Modbus RTU for precise valve control.
03
Long-Range LoRa Connectivity
Reliable two-way communication between the tank and control unit over a 2.5 km line-of-sight range without dependency on Wi-Fi or SIM networks.
04
Automated Logic via PLC
PLC was programmed to automatically open or close the valve motor based on real-time water level thresholds received from the MacSet.
05
Integration Without System Change
Designed to integrate with existing infrastructure, requiring no hardware modifications to the valve or PLC system.
06
Integration with SCADA
All units are compatible with the existing SCADA systems ,no need to start over again from scratch
How it fits together
IoT Architecture for Smart Air Quality Monitoring
On site
Deployment : Long-Range LoRa Communication Between MacSync & MacSet
The system architecture was designed to enable reliable, long-distance communication between remote water level sensors and motor control units using LoRa technology.
In this deployment
Installed at the tank location to capture accurate water level readings and transmit data via LoRa to the remote controller
Deployed near the valve and motor control system to receive LoRa data from MacSync and communicate with the PLC through RS485 Modbus RTU
The system architecture allows future integration with SCADA systems, enabling centralized monitoring and advanced data visualization.
The PLC used the incoming data to decide when to start or stop the motor, automating the entire water flow control process.
What stood in the way
Challenges: Achieving Reliable Long-Distance LoRa Communication
01
Line-of-Sight Limitations
The deployment area had partial obstructions like trees and uneven terrain, which made maintaining a stable LoRa signal challenging.
02
Signal Interference
The nearby industrial machinery introduced electrical noise, requiring precise antenna alignment and noise-resistant configuration.
03
PLC Communication Tuning
Ensuring seamless RS485 communication between the MacSet controller and the PLC required calibration and register mapping adjustments.
04
Weather-Resistant Setup
Both units had to operate reliably in outdoor industrial conditions, necessitating rugged enclosures and weatherproof installation.
Put to the test
Testing & Validation: Ensuring Reliable Automation Over 2.5 km
Long-Range Connectivity Test
Verified stable LoRa P2P communication between the MacSync node at the tank and MacSet controller at the PLC over 2.5 km.
Sensor Accuracy Check
Ensured water level readings from the MacSync matched manual measurements for precise valve operation.
PLC Logic Validation
Tested automatic start/stop of the valve motor based on thresholds, confirming seamless PLC-MacSet integration.
End-to-End System Verification
Conducted multiple full-cycle tests, confirming real-time data transmission, motor control, and system reliability.
4 of 4 tests completed
What changed
Impact: Seamless Automation and Smarter Water Management
Automated Water Flow Control
The MacSync–MacSet link enabled automatic valve operation based on real-time tank levels, eliminating manual monitoring.
Reliable LoRa Communication
Achieved long-range connectivity through dense industrial terrain without cables or repeaters, ensuring uninterrupted data flow.
Energy and Resource Optimization
Reduced water wastage and pump running hours, translating to lower operational costs and energy savings.
Data Transparency for Maintenance
The system provided real-time data logs for predictive maintenance, improving response time and reducing downtime.
In closing
Conclusion: Reliable, Long-Range Automated Water Control
The deployment of MacSync and MacSet for SVR Robotics demonstrates how LoRa-based automation can transform remote water management.
- Efficient Automation: Eliminated manual monitoring and ensured precise valve control.
- Long-Range Reliability: Maintained seamless 2.5 km communication without internet or SIM dependency.
- Cost and Resource Savings: Optimized water usage and reduced operational overheads.
- Scalable Solution: Architecture allows future integration with SCADA or other industrial systems.
This project highlights how Macnman’s IoT solutions empower industrial operations to achieve smarter, safer, and more efficient workflows.
What’s next
