Residential complex: common-area management
Lighting, ventilation, and heating followed fixed schedules regardless of occupancy and weather.
Explore scenario ↗One operational layer for buildings and distributed facilities — from field devices to analytics, automated scenarios, and team actions.
Sensors, controllers, meters, and local systems remain fragmented without one interaction model. They generate data but do not create coherent control.
AZIOT turns isolated nodes into an operational system for a building, facility, or distributed network.
AZIOT unifies devices, communications, data, rules, and control interfaces into one manageable architecture.
Explore the architecture →Toggle groups directly or use the arrows to step through the model.
Typical scenarios with an explicit problem, solution architecture, and realistic KPI target.
Lighting, ventilation, and heating followed fixed schedules regardless of occupancy and weather.
Explore scenario ↗Underfloor heating, air conditioning, and radiators competed with each other, requiring constant manual adjustments.
Explore scenario ↗HVAC and lighting ran at the same output during peak and off-peak hours while operators used separate interfaces.
Explore scenario ↗Architecture, operational scenarios, protocols, and lessons connected to the AZIOT knowledge base.
For IIoT architects and operations engineers, selecting the optimal MQTT 5.0 Quality of Service (QoS) level and complementary architectural patterns is key to guaranteeing critical telemetry data delivery in unstable network environments.
Sensor drift can lead to critical errors in industrial operations. This article explores architectural approaches for its detection, balancing reliability, cost, and implementation complexity.
Ensuring the firmware integrity of IIoT devices is fundamental to protecting industrial systems from cyberattacks. Implementing a trust architecture that encompasses hardware roots of trust, secure and measured boot, and remote attestation guarantees the authenticity and immutability of device software throughout its operational lifecycle.
No big-bang replacement: each step has a defined result before the next one begins.
We map your systems, critical events, operator roles, and integration constraints
We launch on real tasks, with the KPI and baseline fixed before the start
We replicate scenarios and connect new sites to one shared control model
We will review the context and propose the next practical step — without a generic sales presentation.
Thank you. We will review the details and get back to you shortly.
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