Remote district heating network monitoring system via LoRaWAN or NB-IoT
Communication post

The system is designed for automated data collection, processing and wireless transmission of measurements from sensors installed throughout district heating networks. It enables utility companies and industrial operators to monitor the condition of underground heating chambers, district heating pipelines and thermal energy consumption. By providing timely access to operational data, the system helps identify potential failures, reduce heat losses and improve the efficiency of district heating infrastructure management.
  • Automatic polling of sensors according to preset parameters
  • Multi-channel data acquisition (support for various interfaces)
  • Shockproof sealed housing
  • Data transmission via LoRaWAN or NB-IoT

How the system works

Configuration
The device is configured via Bluetooth using a mobile application.
Installation
It is mounted on a DIN rail in a cabinet or mounted in a base pole next to heating network facilities.
Data collection
Every minute, the device polls all connected sensors and converts the data into parameters of the heating network.
Data transmission
The tracker transmits data
about to the platform wirelessly via LoRaWAN or NB-IoT.

System components:

A mobile application that allows users to configure the device and adjust its operating parameters.

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An industrial controller installed in a sealed plastic enclosure inside an equipment cabinet or a dedicated mounting post.
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Mobile Application
The application is compatible with devices running Android 9.0 or later. Once installed, the application provides access to the emergency call device, allowing users to configure its operating parameters and manage device settings directly from their smartphones.
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Functional Requirements:

  1. The mobile application must support local configuration and adjustment of device operating parameters via Bluetooth.
Data acquisition and transmission controller
The controller is designed to automatically collect and wirelessly transmit data from sensors used to measure and monitor the operating parameters of district heating networks. The device supports data transmission via LoRaWAN and/or NB-IoT communication networks. It can be used to monitor thermal energy consumption, operating conditions and technical parameters at various sections of heating pipelines and underground heating chambers.
Supported Interfaces

The controller supports the following interfaces and connections:
  • RS-485 (Modbus)
  • Two 4–20 mA Analog Inputs
  • Four Digital Inputs
  • Two 15 V Power Outputs
  • Two 24 V Power Outputs
  • Two Pt100 Temperature Sensor Inputs
  • Two Pt500 Temperature Sensor Inputs
Data collected through the various interfaces are organized into packets and placed in a common transmission queue using the First-In, First-Out (FIFO) principle. Packets are retrieved from the queue in the order in which they were created and transmitted over a wireless communication channel to cloud storage. This data management approach ensures orderly transmission of the measurements collected from multiple connected sensors.
Benefits of the district heating network monitoring system
The district heating monitoring system enables utility providers, district heating operators and industrial facilities to collect accurate information about heating pipelines and underground heating chambers automatically. Wireless communication via LoRaWAN or cellular networks enables remote data transmission from distributed infrastructure, reducing the need for routine inspections.

The system helps identify potential failures at an early stage, minimize heat losses, reduce operating costs and improve overall infrastructure management.

  • Accident prevention and reduction of repair costs
    The controller polls connected sensors every 60 seconds and records changes in district heating network parameters, including temperature, sensor status, pulse events and alarm conditions. By continuously collecting operational data, the system helps maintenance teams identify potentially hazardous situations before they develop into major failures.
    • Key Benefit: reduced emergency repair costs through early detection of overheating, flooding and abnormal conditions in underground heating chambers.
  • Reducing heat loss and increasing efficiency
    Automated measurement and data collection provide operators with detailed information about the performance of district heating systems. The collected data help organizations: monitor the correct operation of heating substations and distribution equipment; identify potential heat losses; detect discrepancies between calculated and actual thermal energy consumption; optimize heat supply operating conditions; improve the energy efficiency of connected facilities.
    • Key Benefit: lower energy losses, more efficient resource utilization and improved district heating network load management.
  • Flexible integration into existing infrastructure
    The controller supports multiple industrial interfaces, including RS-485 Modbus, 4–20 mA analog inputs, digital inputs and Pt100/Pt500 temperature sensors. This enables integration with a wide range of existing heating network equipment and measurement devices.
    • Key Benefit: flexible deployment across different infrastructure types without requiring extensive modifications to existing systems.
  • Reduction of maintenance costs and staff departures
    The controller transmits measurement data to a cloud-based monitoring platform via LoRaWAN or cellular connectivity. Remote data collection helps eliminate the need for frequent inspections of underground heating chambers, minimize manual meter reading and reduce unnecessary maintenance visits.
    • Key Benefit: lower personnel workload, fewer site visits and reduced infrastructure operating costs.

Project scope and completed work:


  • Development of the controller's electronic circuit schematic.
  • Printed circuit board (PCB) design and layout.
  • Manufacturing of controller prototypes.
  • Development of embedded firmware.
  • Branding and customization of the device configuration software.
  • Production of a batch of more than 1,000 devices.
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