Building Management System Integration
The problem
Chillers, AHUs, meters, lighting and lifts arrive with different protocols from different vendors, so the BMS only sees the subsystems someone paid to integrate and every new package needs another custom driver.
Solution overview
MILESGO gateways collect data from chillers, air handling units (AHU), electricity meters, KNX lighting actuators and panels, lift controllers, PLCs over Modbus RTU / Modbus TCP / KNX / OPC UA, and deliver it to the BMS, WEB HMI panels, a cloud platform (MQTT) as BACnet/IP / MQTT. Field equipment keeps its own protocol and control logic; integration is done by configuration and point mapping, not custom code.
Typical scope
- chillers
- air handling units (AHU)
- electricity meters
- KNX lighting actuators and panels
- lift controllers
- PLCs
Protocol path
Modbus RTU / Modbus TCP / KNX / OPC UA → BACnet/IP / MQTT
Implementation checklist for the project manager
- Freeze the point list and protocol mapping with the client before ordering hardware.
- Collect register maps and protocol documents from every equipment vendor early; a missing map is the most common delay.
- Agree BACnet device instances, network numbers and BBMD with the BMS contractor to avoid conflicts.
- Size gateways by point count (256 / 512 / 1024 / 2048 tags per model) and by the number of RS-485 channels, leaving about 20% spare.
- Issue an IP address plan and VLAN / firewall rules with the client’s IT team before installation.
- Build and simulate the configuration off site (FAT) before installation to shorten time on site.
- Hand over configuration backups, point table, IP plan and as-built drawings, with a short operator training.
Project deliverables
- Signed point table and protocol mapping
- Gateway configuration files and backups
- IP address plan and network drawing
- FAT and SAT test records
- As-built documentation and operator training
System architecture
Field layer: chillers, air handling units (AHU), electricity meters, KNX lighting actuators and panels, lift controllers, PLCs, connected over Modbus RTU / Modbus TCP / KNX / OPC UA. Edge and integration layer: MILESGO protocol gateways and edge controllers, mounted on DIN rail in existing panels, polling each device, time-stamping values and buffering them locally. Upper layer: the BMS, WEB HMI panels, a cloud platform (MQTT), which receives the data as BACnet/IP / MQTT. Remote access for maintenance runs over VPN rather than open internet ports.
System composition
- Field devices
- chillers, air handling units (AHU), electricity meters, KNX lighting actuators and panels, lift controllers, PLCs
- Edge / integration
- MILESGO protocol gateways and edge controllers
- Upper systems
- the BMS, WEB HMI panels, a cloud platform (MQTT) (BACnet/IP / MQTT)
- Tools and commissioning
- Web-based configuration, point table import/export (Excel), off-site simulation and on-site diagnostic tools
Software and AI capabilities
- Point mapping assistance from uploaded register listsPilot
- Anomaly detection on trend dataRoadmap
- Natural language questions over site dataRoadmap
Delivery steps
- 1
Site survey and point list
Inventory devices, protocols, register maps, panel space, power and network paths.
- 2
Design and point table sign-off
Map every point to the target protocol and system; agree it with the client and the upper-system contractor.
- 3
Configuration and FAT
Build the gateway configuration off site, simulate it and test against the signed point table.
- 4
Installation and wiring
Mount gateways on DIN rail, wire RS-485 / I/O / Ethernet, apply the IP plan.
- 5
SAT and alarm tests
Verify values against local readings, test every alarm and command end to end.
- 6
Handover and support
Hand over configuration backups, point table and as-built documents; train operators.
Customer value
- One view of all subsystems instead of separate vendor consoles
- New equipment integrated by configuration, not custom driver development
- Open interfaces (BACnet, Modbus, OPC UA, MQTT, HTTP) avoid lock-in to one vendor
- Reliable trend data for optimisation and fault diagnosis
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