Bird strikes have long been an “invisible killer” in the field of civil aviation safety. Even a bird weighing less than half a kilogram can generate impact forces comparable to those of a small artillery shell when it collides with an aircraft during high-speed takeoff or landing. Despite the widespread adoption of conventional measures such as gas cannons, bird-control nets, and raptor deterrents at airports both domestically and internationally, bird-strike incidents continue to occur with alarming frequency. The root cause lies in the fact that bird-control efforts have for too long remained at a “reactive” level, lacking precise situational awareness of avian activity and intelligent decision-making.

　　 I. The Challenges of Traditional Bird Control: Poor Visibility, Inability to Keep Pace, and Inaccurate Assessment

　　The airport covers a vast area, with extensive lawns and buildings obstructing visibility. Relying on traditional manual inspections with handheld binoculars is not only inefficient but also makes it difficult to obtain real-time situational awareness:

　　• In which specific area is the bird hidden?

　　• Are any large birds or flocks of birds approaching the runway?

　　• Where do the birds fly in from? Does the surrounding ecological environment require remediation?

　　• Have different bird species developed adaptive responses to existing bird-scaring measures?

　　The prolonged failure to resolve these issues has often resulted in bird-control efforts falling into a reactive cycle of “strengthening measures wherever bird strikes occur.”

　 　II. Technological Breakthrough: Perception + Algorithms + Interoperability to Build a “Bird Situation Dashboard” for Airports

　　With the maturation of radar detection, electro-optical identification, and artificial intelligence algorithms, airport airspace safety assurance is transitioning from “manual bird dispersal” to an integrated, intelligent system encompassing “detection, identification, dispersal, and assessment.”

　 　1. All-Weather Perception: Ensuring “Invisible Birds” Have Nowhere to Hide

　　Radar is used to detect flocks of birds, large avian species, and airborne debris at long ranges, while high-definition electro-optical systems scan and identify low-altitude and ground-level targets. Machine-learning algorithms are employed to filter out clutter and train image-recognition models for bird species, enabling automated threat-level assessment—and delivering sub-second alerts specifically for large birds and bird flocks.

　 　2. Integrated Detection and Repulsion: Autonomous Device Coordination for Precise Deterrence

　　The software system integrates radar, electro-optical sensors, blue-light systems, and directed-energy pulse cannons into a closed-loop “detection–tracking–deterrence” workflow. When the radar detects a threat target and confirms its entry into a critical protection zone—such as the runway extension—the system automatically activates the electro-optical equipment to lock onto and track the target. Within a time window that does not compromise takeoff and landing safety, the system intelligently deploys gas cannons or directional acoustic devices to deter the intruder, all without any human intervention throughout the entire process.

　　 3. Situational Awareness in a Single Dashboard: Real-Time Comprehensive Monitoring of Avian Conditions

　　The command center’s large display screen can simultaneously show the position, altitude, and speed of aircraft, bird flocks, drones, airborne objects, bird-scaring vehicles, and personnel. Differentiated alert thresholds are configured for each of the three-tiered protection zones—A, B, and C—and the system automatically records the time, location, and environmental data associated with suspected bird strikes, providing a precise record for post-event analysis.

　　 4. Big Data Analysis of Bird Activity: From “Bird Deterrence” to “Ecosystem Management”

　　By leveraging long-term bird-activity data, the system can generate high-frequency flight trajectories, daily activity patterns, and nest orientation maps, while dividing the airport’s operational area into a grid to automatically identify high-risk grid cells. Based on these insights, ecological management authorities can carry out targeted vegetation clearing, eliminate food sources, and adjust turfgrass species, thereby reducing the airport’s attractiveness to birds at the source.

　 　III. Future Prospects: Smarter, Greener, and More Collaborative

　　Bird-control efforts will not cease, but they can become more scientifically grounded. Huangshan Shuangbao Technology Application Co., Ltd. believes that future airport bird-strike prevention will exhibit three major trends:

　　 • Intelligent Dynamic Strategy: AI automatically selects the optimal bird-deterrence strategy based on bird species, weather conditions, and time of day, thereby overcoming birds’ adaptive behavior.

　　 • Eco-friendly bird repellent: Promote the use of solar-powered bird-repelling devices and biodegradable systems to minimize environmental disturbance.

　　 • Cross-Airport Data Sharing: Implement large-scale collaborative early warning for migratory bird migration periods through the regional avian monitoring database.

　　From “manpower-intensive tactics” to “intelligent sensing,” technology is redefining how airports coexist with birds. Behind every safe takeoff and landing, the approach is no longer blind驱赶 but a finely tuned, data- and algorithm-driven collaboration.

　　 Huangshan Shuangbao Technology Application Co., Ltd. We remain steadfastly focused on intelligent perception, radar–optoelectronic fusion, and decision-support systems, helping civil aviation airports build more proactive and precise airspace protection systems.

　　This article is compiled based on publicly available industry data and technical practices, with the aim of exploring intelligent approaches to bird strike prevention. For further information on relevant solutions, please contact Huangshan Shuangbao Technology Application Co., Ltd.