R&D Division

BMS & IoT Systems Integration Research

Developing protocol stacks, IoT mesh sensor networks, cloud SCADA platforms, and edge computing architectures that unify fire safety systems with broader building intelligence infrastructure.

Research Overview

The BMS & IoT Systems Integration division bridges the gap between fire safety infrastructure and modern building intelligence platforms. Our research focuses on BACnet/IP and Modbus TCP protocol stack development, enabling fire panels to communicate natively with HVAC, access control, and lighting management systems.

We design and deploy IoT mesh sensor networks using LoRaWAN and Zigbee technologies for continuous environmental monitoring — mapping temperature, humidity, particulate matter, and gas concentrations across entire building envelopes. These sensor networks feed into cloud-based SCADA dashboards that provide real-time fire system telemetry to facility managers and first responders.

For latency-critical applications, our edge computing nodes process fire detection data locally, eliminating cloud round-trip delays. API gateway development enables cross-system fire/HVAC/access control integration, while our MQTT broker architecture handles high-throughput sensor data ingestion across thousands of concurrent device connections.

Technical Methodology

Our integration research pipeline from protocol analysis through deployment.

01

Protocol Stack Analysis & Design

Deep analysis of existing building management protocols (BACnet/IP, Modbus TCP, LonWorks) to design interoperable integration layers that bridge fire systems with HVAC, access control, and lighting.

02

IoT Mesh Network Architecture

Design and deployment of LoRaWAN and Zigbee mesh sensor networks for environmental monitoring — temperature, humidity, particulate matter, and gas concentration mapping across building envelopes.

03

Edge Computing Node Development

Development of edge computing nodes positioned at network boundaries for latency-critical fire detection responses, reducing cloud round-trip dependencies to sub-millisecond local processing.

04

Cloud SCADA & API Gateway Deployment

Cloud-based SCADA dashboard development with MQTT broker architecture for high-throughput sensor data ingestion and API gateway services for cross-system integration.

05

End-to-End Validation & Monitoring

Comprehensive integration testing under simulated fire scenarios with continuous telemetry monitoring to validate response time SLAs and data integrity across all system boundaries.

Key Research Outcomes

Core capabilities from our BMS and IoT integration research programme.

BACnet/IP & Modbus TCP

Custom protocol stack development enabling seamless bidirectional communication between fire panels and building management systems across IP networks.

LoRaWAN Sensor Networks

Long-range, low-power mesh sensor deployments for environmental monitoring with multi-year battery life and building-wide coverage from minimal gateway infrastructure.

MQTT Broker Architecture

High-throughput message broker systems capable of ingesting millions of sensor data points per minute with guaranteed delivery and topic-based routing.

Edge Computing Nodes

Latency-critical processing units deployed at the network edge, enabling sub-millisecond fire detection decisions without cloud dependency.

Standards & Publications Referenced

Protocol specifications and security frameworks guiding our integration research.

  • ASHRAE 135 — BACnet: A Data Communication Protocol for Building Automation and Control Networks
  • Modbus Application Protocol Specification V1.1b3
  • IEEE 802.15.4 — Low-Rate Wireless Personal Area Networks (Zigbee PHY/MAC)
  • LoRaWAN Specification v1.0.4 — LoRa Alliance
  • MQTT Version 5.0 — OASIS Standard
  • IEC 62443 — Industrial Communication Networks: Network and System Security

View Integration Research

Need to integrate fire systems with your BMS platform or deploy IoT sensor networks for environmental monitoring? Our integration team is ready.

View Integration Research