AIoT for Facility Management

ZETA by ZiFiSense delivers advanced LPWAN technology for smart facility management, featuring bi-directional communication, ultra-low power consumption, and high scalability for IoT deployments across large and complex environments.

Credentials and frameworks:BCA ME02 L5 ISO 9001 ISO 45001 ISO 27001:2022 ISO 26000 guidance

ZETA is a carrier-grade LPWAN technology developed by ZiFiSense which owns more than 10 domestic and international invention patents. With our unique low-power mesh access mechanism and active two-way communication, ZiFiSense offer customers top-class low-power IoT network solutions.

Network Architecture

Zeta Servers

ZETA server (a professional OSS platform that can be deployed locally or using cloud services)

ZETA Base Station

Mote

ZETA Mote (battery-powered, flexible deployment)

Sensors

ZETA Sensor Devices (battery-powered, can easily interfaced with a variety of applications for different business scenarios)

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Functional Characteristics

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Bi-Directional Communication

Our real bi-directional communication supports the UL (data feed) and DL (control signaling) transmissions from/to sensors at the time or when they are triggered by a user-defined event.

Multi-hop self-organizing network access

Flexible networking, blind area coverage, node convergence, network self-healing.

Multiple protocol version

A variety of protocol version can be customised to suit the needs in difference user scenarios.

Ultra-low power consumption

Allow deep sleep mode with very short wake-up delay. Battery life can be extended to 5-10 years.

Ultra-long range

Ultra-narrowband technology with high receiver sensitivity to assure stable transmission of 2-10km in urban environments. Longer range connectivity is possible in rural locations or where the propagation condition is ideal.

Flexible Data Rate and Spectrum

ZETA can operate in all license-free sub-1GHz ISM bands (e.g. 433, 470, 500, 787, 868, and 915MHz) and support data rate in the range of 100bps-50kbps. All ZETA devices are hardware agnostic in terms of the RF front-end and they could be easily adapted in order to operate in the licensed spectrum.

Multiple security mechanisms

Provide efficient security solutions for IoT applications. Support frequency hopping (over 50 channels), time-based authentication, MAC address filtering and optional AES-128 or LCG-based lightweight data encryption.

Best-in-Class Capacity

A combination of ZiFiSense innovations – a highly distributed network architecture with its own Mesh Access, virtual OFDMA and multi-hundreds Hz UNB channels – delivers 3 to 10 times extra capacity against the existing LPWA solutions.

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Frequently Asked Questions

What is AIoT and how is it different from regular IoT?

AIoT combines Internet of Things sensor data with artificial intelligence (machine learning, anomaly detection, predictive analytics) at the edge or in the platform layer. Regular IoT collects data; AIoT acts on it. EcoXplore's AIoT layer runs anomaly detection on equipment telemetry and triggers proactive maintenance work orders before failures occur.

Does AIoT require replacing my existing sensors and meters?

No. The AIoT platform consumes data from existing meters, sensors, and BMS feeds through standard protocols (Modbus, BACnet, MQTT). Where additional coverage is needed for predictive maintenance use cases, low-power wireless sensors (ZETA, LoRaWAN) install in hours without rewiring.

What use cases give the strongest ROI?

Predictive maintenance on rotating equipment (chillers, pumps, fans, motors) and anomaly detection on critical power infrastructure (transformers, switchgear) typically deliver the strongest payback. Avoided downtime on a single chiller event in a data centre or hospital often covers the platform cost.

How does the platform handle data privacy and security?

The platform supports on-premises deployment, hybrid cloud, and fully cloud-hosted options. TLS encryption protects data in transit; role-based access control restricts viewing rights. For regulated sectors (healthcare, defence, finance), air-gapped deployments with on-site ML inference are supported.