II. Production

Core Equipment Components

Mobile Chassis System

Wheeled type: Anti‑corrosion chassis. Navigation system combining LiDAR and visual SLAM for autonomous mapping, obstacle avoidance, patrol‑route planning and automatic return‑to‑charge. Rail‑mounted type: Aluminium‑alloy rail and travelling drive mechanism for uniform reciprocating movement along the track.

Lifting Acquisition Module

Electric lifting pan‑tilt‑zoom camera adapted to multi‑tier cage heights. Equipped with a high‑definition visible‑light camera, an infrared thermal imager and sound‑collecting module. It captures photos and videos of each cage tier to identify poultry conditions and surface‑body temperature.

Environmental‑sensing Unit

Integrated sensors for temperature, humidity, ammonia and CO₂ to collect real‑time environmental parameters inside the house.

Edge‑computing & AI Module

Local edge host running breeding‑oriented AI algorithms to recognise dead birds, weak birds and abnormal behaviours. On‑site data processing reduces data‑transmission load.

Software Management Platform

Local control cabinet + cloud platform + mobile‑phone APP. Supports patrol‑task configuration, video and sensor‑data storage, automatic patrol‑report generation, pop‑up alerts and SMS alarm push. Remote manual robot control is available.

Working Process

Robot startup → Autonomous patrol along preset routes → Lifting PTZ collects images and environmental data tier‑by‑tier → Edge‑side AI analysis detects abnormalities → Abnormal‑site marking and alert push → Patrol‑task completion → Automatic return to charging station. All data are archived and stored.

Factory Production and On‑site Implementation

Factory‑side procedures: Chassis machining, anti‑corrosion treatment, sensor assembly, pre‑installation of AI algorithms and electric‑control commissioning. The whole unit is disassembled for transportation. On‑site work: Rail installation (for rail‑mounted versions), network debugging, on‑site mapping & calibration, on‑site AI‑model adaptation. No‑load trial run, poultry‑present debugging for recognition‑accuracy verification and alarm‑function testing. Formal hand‑over after acceptance inspection.

III. Services

Pre‑project planning: On‑site poultry‑house survey to evaluate aisle layout, cage‑rack arrangement and wireless‑network conditions. Equipment selection, deployment‑scheme formulation and investment‑cost estimation assistance are provided.

Installation and commissioning: Equipment positioning, rail construction, network interconnection, on‑site mapping, AI‑algorithm optimisation tailored to local poultry flocks, and configuration of patrol strategies and alarm thresholds.

Personnel training: Training for management staff, covering task setting, alarm disposal, routine cleaning & maintenance and fault‑identification SOPs.

After‑sales operation & maintenance: 7×24‑hour technical support and supply of wearing parts; remote troubleshooting for navigation, sensor and platform faults; regular algorithm iteration and upgrading.

Value‑added services: Retrofit‑adaptation for old poultry houses; interconnection with breeding environmental‑control and production‑management systems; provision of technical documentation required for smart‑breeding project acceptance.

IV. Advantages

24‑hour non‑stop patrol: Operates regardless of day‑night cycles and dusty indoor conditions. It compensates for the shortcomings of manual night‑shift inspections and enables earlier detection of abnormal events.

Reduced labour pressure: Cuts manpower investment for house patrols. Breeders only carry out targeted disposal upon receiving alerts instead of checking every cage row‑by‑row, thus improving work efficiency.

Accurate recognition and positioning: Marks abnormal cage positions, reduces missed detection of dead and weak birds, lowers disease‑spread risks and improves flock survival rate.

Continuous and complete environmental data: Multi‑point environmental data across the whole house are obtained, avoiding one‑sided data caused by fixed‑point manual monitoring and supporting optimisation of environmental‑control parameters.

Enhanced biosecurity: Reduces frequent human entry into poultry houses and lowers the risk of pathogen introduction by personnel. The whole patrol process leaves traceable records with archived data.

Flexible deployment: Wheeled models require no large‑scale civil‑engineering renovation and can be retrofitted directly on old farms. Interconnection with existing breeding‑equipment platforms is supported to realise farm‑wide digital management.

Objective Limitations

High one‑off procurement cost. Sensors and camera lenses need regular cleaning due to heavy indoor dust. AI recognition may produce occasional false alarms caused by feather occlusion and unstable lighting conditions. Stable wireless‑network coverage is required for normal operation.