Five-layer architecture
Connect continuous sensing, operational facts and agent actions across people, equipment, places and assets
Data flows up; commands flow down
Three core benefits
Sensing as a Service
Continuous sensing · CELL + GRID
Source of Truth
Trusted data foundation · PORT + CORE
Sense to Act
Dual-engine decisions and actions · CORE + AXIS
Five layers, from the ground up
Lindos OS turns continuous sensing of people, equipment, places and assets into trusted spatial facts. AI uses these facts to reason and coordinate action. From bottom to top, the five layers are CELL, GRID, PORT, CORE and AXIS.
Sensor layer
Keep people, equipment, places and assets connected
- Location sensors: badges, wristbands and tags with indoor beacon and outdoor BeiDou modes
- Sensors for temperature, humidity, pressure, gas, vibration, light and door status, using energy harvesting or long-life batteries
- Displays: electronic paper
- All sensors share an in-house 2.4 GHz proprietary protocol for unified device access and identity management
Network backbone
Reliably carry site signals upstream and commands downstream
- Indoor, outdoor and vehicle-mounted receivers, plus wireless relays
- Multi-hop relaying, self-healing topology and edge preprocessing
- Wi-Fi or Ethernet uplink; DC or PoE power
- Over-the-air firmware updates and staged OTA
Spatial facts interface
A standard interface for agents to access spatial facts
- Protocol adaptation: Lindos devices and third-party connections via Modbus, MQTT or HTTP
- Data standardisation: cleaning, alignment and semantic mapping into a unified device model
- Device management and maintenance: staged OTA and batch configuration
AI computing & operational reasoning
Two engines: millisecond responses and minute-scale reasoning
- Spatial semantics engine: model physical spaces as zone topology and bind business meaning to time and location, creating a stream of operational events
- Real-time engine: deterministic rules trigger vibration, sound, light or push notifications in milliseconds for geofence events, SOS calls and unusual dwell times, without relying on large language models
- Reasoning engine: Harness orchestrates large language models to assess trends and anomalies and recommend improvements in minutes, continually feeding insights back into the real-time rule library
Digital twin & real-time coordination
One map for people to coordinate operations; dispatch commands for agents
- Spatial interaction engine: AI modelling, real-time 3D rendering, semantic scene annotations, spatial overlays of multiple data sources and intelligent zone topology
- Insight console: AI insights, spatial focus on unusual events, workflow triggers and coordinated execution of response plans
- Multi-device collaboration and open APIs: desktop coordination, mobile inspections, IOC situational views, APIs and webhooks, with BMS, ERP and MES integration
- Third-party devices can use the Lindos protocol to report data and receive device-level commands
Five-layer architecture and three core benefits
First turn the site into trusted spatial facts, then involve AI in on-site decisions and actions. Lindos OS learns as it operates over time.
Start with one site and one workflow
contact@lindos.cn
Deploy into your existing site without rewiring, alterations or interrupting operations. Tell us which workflow you want to improve first. Together, we will agree the available data, initial scope and measures of success.
Talk to us
Tell us about your site and the workflow you want to improve. We will arrange a conversation to agree how to get started.
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Explore solutions for your industry, the sensors involved and a practical starting scope.
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Develop and deliver a joint solution with clearly agreed roles and responsibilities.
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