Technical specifications for drone patrol in forest steppe fire prevention
1Key Takeaways
This standard provides detailed guidelines on the application of unmanned aerial vehicles in the field of forest and grassland fire prevention. It outlines the technical requirements, operational procedures, and safety measures necessary for conducting aerial inspections. The document covers aspects such as equipment s…
2Expert Interpretation
This article provides an in-depth analysis of the national standard GB/T 47054-2026, "Technical Specification for Unmanned Aerial Vehicle (UAV) Patrol in Forest and Grassland Fire Prevention," covering general requirements, task classification, operational procedures, anomaly handling, and verification methods for UAV patrol operations. It focuses on analyzing the application technologies of multi-rotor, fixed-wing, and compound-wing UAVs in forest and grassland fire prevention, providing suggestions for standard implementation and comparative analysis, offering professional guidance to fire prevention departments and operational units.
Background and Technological Evolution Analysis of Standard Development
With the deepening of ecological civilization construction in my country, the protection of forest and grassland resources faces increasingly severe fire prevention pressures. Traditional ground patrols and watchtower monitoring methods have inherent defects such as limited field of vision, slow response, and numerous blind spots. Unmanned aerial vehicle (UAV) technology, with its advantages of maneuverability, unique perspective, and high efficiency, has shown great application potential in the field of forest and grassland fire prevention. However, prior to the release of GB/T 47054-2026, the industry lacked unified and authoritative technical operating standards, resulting in significant differences in UAV patrol operations in terms of personnel qualifications, equipment configuration, operational procedures, safety management, and data standards. This affected the full realization of technical effectiveness and even brought about safety hazards.
The formulation of this standard marks a new stage in the application of UAVs for forest and grassland fire prevention in my country, moving from the exploratory and practical stage to a standardized and regulated development phase.
It systematically integrates previous pilot experience, references relevant national and industry standards such as GB/T 35018, GB/T 38152, GB 42590, and MH/T 1069, and fully considers the technical characteristics of different platforms such as multi-rotor UAVs, fixed-wing UAVs, and compound-wing UAVs, as well as the application requirements of different mission payloads such as visible light, infrared thermal imaging, and laser ranging. The standard covers the entire process from operation preparation and implementation to completion, and sets forth clear requirements for handling abnormal situations and data management, providing crucial technical support for building an integrated "air-ground-space" forest and grassland fire monitoring and early warning system.
Core Terminology Definition and Operation Mode Analysis
Chapter 3 of the standard clarifies five key terms, which are the foundation for understanding the entire specification.
UAV Patrol: Refers to real-time aerial patrols conducted by UAVs or UAV systems carrying mission payloads.
This definition emphasizes the concept of a system, encompassing not only the flight platform but also mission payloads, communication units, and control stations, reflecting the holistic nature of collaborative operations.Routine Patrols vs. Fire Patrols: This is the core classification based on mission objectives. Routine patrols focus on routine risk and hazard identification during the fire prevention season, with a preventative nature; fire patrols, on the other hand, focus on emergency response and dynamic monitoring after a fire occurs, with a reactive nature. The standard requires differentiated strategies for both in terms of patrol grids, routes, frequency, and response procedures.
Manual Patrols vs. Autonomous Patrols: This classification is based on control modes, representing two directions of technological development. Manual patrols rely on real-time operator control, offering high flexibility and suitability for complex and sudden patrol scenarios; autonomous patrols rely on preset programs in intelligent control devices, offering a high degree of automation and suitability for fixed-route, repetitive patrol tasks. The standard sets different emphases for the preparation, implementation, and monitoring of operations for each mode.
| Comparison Dimensions | Daily Patrol | Fire Patrol | Manual Patrol | Autonomous Patrol |
|---|---|---|---|---|
| Core Objectives | Risk and Hazard Prevention, Early Fire Detection | Fire Verification, Situation Monitoring, Firefighting Support | Responding to Complex and Sudden Scenarios | Executing Fixed and Repetitive Tasks |
| Task Characteristics | Planned, Periodic, Wide Coverage | Highly Emergency-Responsive, Targeted, and Real-Time | Highly Flexible with Full Operator Involvement | Highly Automated with Pre-set Programs |
| Technical Requirements | Route planning, grid management, multispectral monitoring | Rapid response, real-time image transmission, precise positioning | High operator skill requirements, real-time judgment required | High system reliability requirements, electronic fence pre-set |
| Applicable Stages | Fire prevention period (especially high fire risk period) | The entire process from fire occurrence to extinguishment | Initial fire reconnaissance, complex terrain patrol | Daily patrol, fixed route fire verification |
General Requirements: Personnel, Equipment, and Safety as a Tripartite Framework
Chapter 4, "General Requirements," forms the cornerstone of UAV patrol operations, establishing basic principles from the three dimensions of personnel, equipment, and environment.
Personnel Requirements: The standard not only requires operators to hold the relevant licenses (in accordance with the relevant regulations of the Civil Aviation Administration of China), but also emphasizes that they must possess a composite knowledge structure, including professional knowledge in aviation, meteorology, and forest and grassland fire prevention. Simultaneously, it requires mastery of the entire chain of operational skills, from daily operations and fire patrols to equipment maintenance. This reflects that drone fire patrol is a highly specialized and comprehensive technical task, placing higher demands on the quality of personnel. For example, during fire patrols, operators need to be able to make preliminary judgments about the intensity and direction of fire spread based on infrared thermal imaging images, which requires professional fire prevention knowledge.
Equipment Requirements: The standard requires the configuration of a drone system "matched" to the mission. This means that equipment selection requires mission analysis: for large-scale daily patrols, long-endurance fixed-wing UAVs are more advantageous; for close-range, precise reconnaissance and pinpoint monitoring of fire sites, mobile multi-rotor UAVs or compound-wing UAVs are more suitable. The choice of mission payload also needs to be site-specific: visible light cameras are used for daytime patrols and visible light recording of fire sites; infrared thermal imagers are used at night and in smoky environments to detect heat sources and monitor smoldering fires; laser rangefinders can be used to accurately measure the distance and area of fire sites. The standard also specifically points out that mobile work vehicles should be configured according to the terrain to improve rapid deployment and continuous operation capabilities.
Operational Safety Requirements: Safety is the red line. The standard constructs a safety defense line from multiple levels: **Environmental safety**, it clarifies weather conditions, safe distances at take-off and landing points (personnel and drones must maintain a distance of at least 20 meters), safe flight distances (horizontal at least 10 meters, vertical at least 5 meters), and no-fly zones (over residential areas, schools, hospitals, and substations); **Operational safety**, it stipulates refueling and unloading procedures; **Emergency safety**, it requires the development of emergency plans and the allocation of rescue forces. These provisions aim to minimize the risks to third parties and the operator. **Standardized Process for Patrol Task Planning and Operation Procedures** Chapters 5 and 6 constitute the core operational part of the standard, closely integrating patrol tasks with operation procedures. **Scientific Nature of Task Planning**: Daily patrols are required to be managed in a "grid-based, route-based, and frequency-based" manner based on forest and grassland fire risk levels. This means that it is necessary to utilize Geographic Information Systems (GIS) and combine historical fire data, vegetation types, topography, meteorological factors, etc., to scientifically divide patrol grids, plan optimal patrol routes, and determine the patrol frequency under different fire risk levels. During high fire risk periods and key periods such as the Spring Festival and Qingming Festival, the frequency must be increased to achieve enhanced monitoring of key areas and key time periods.
Standardization of Operating Procedures: Appendix A's flowchart provides clear operational guidelines. The entire procedure is divided into three stages: preparation, implementation, and completion, with distinctions made between manual and autonomous modes.
- Preparation Stage: The core is "planning" and "inspection." A detailed patrol plan must be developed and airspace applied for. Equipment inspection ensures airworthiness. Route planning must use the national geodetic coordinate system and elevation datum, and must avoid all types of non-airworthiness zones. For autonomous patrols, electronic fences must be preset; for manual patrols, operators must memorize the boundaries of non-airworthiness zones. Pre-flight system verification (especially hovering tests in manual mode) is a crucial step in troubleshooting initial malfunctions. Implementation Phase: The core is "monitoring" and "control." The standard requires continuous monitoring of flight status, navigation and positioning, battery level, and communication links. In autonomous mode, the focus is on monitoring track deviation and automatic obstacle avoidance; in manual mode, the operator must be fully focused. If a track deviation occurs or a no-fly zone is entered, the standard provides a clear handling procedure: in autonomous mode, attempt automatic correction first; if that fails, immediately take over manually; in manual mode, immediately correct manually or execute an emergency return. Completion Phase: The core is "safe return" and "standard landing." Prioritize automatic landing; if conditions are not met, smoothly switch to manual landing. After landing, confirm the power system is shut down to prevent accidental restart. Application Case: Daily Grid Patrol in a Forest Area A key forest area applied this standard, dividing its jurisdiction into 50 1km × 1km grids. Based on fire risk forecasts, level 3 fire risk grids are patrolled once a week, level 4 grids twice a week, and level 5 grids once a day. A **composite-wing UAV** equipped with a dual-light pod (visible light + infrared) is used in an autonomous patrol mode, with pre-set flight paths including the center point and key path points of each grid. Before operations, electronic fences are set up around villages and high-voltage power line towers for each grid in the control software. During operations, the UAV automatically cruises, and the operator monitors the forest area in real-time via dual-light imaging from the command vehicle. Upon detecting a suspected heat source (high temperature point displayed on the infrared image), the system automatically alarms, and the operator immediately switches to manual mode, maneuvering the UAV to approach and investigate. After confirming that it is a farmer burning straw, the location is recorded and nearby forest rangers are notified for handling. The entire operation is standardized, and efficiency is several times higher than traditional patrols.
Abnormal Situation Handling and Data Verification Methods
Chapters 7 and 8 address operational risks and quality control respectively, reflecting the standard closed-loop management concept.
Hierarchical Response to Anomalies: Article 7 of the standard lists ten common anomalies and provides specific handling measures, which can be summarized into three levels:
| Anomaly Level | Typical Situations | Core Handling Principles | Examples of Specific Measures |
|---|---|---|---|
| Early Warning and Prevention Level | Route Change, RTK Signal Loss | Stop Verification, Confirm Safety | Re-plan Route, Hover Wait for Signal Recovery |
| Manipulation Intervention Level | Navigation/Compass Interference, Waypoint Deviation | Switch Mode, Manual Intervention | Switch to attitude mode, manually correct, or return to base immediately |
| Emergency Termination Level | Abnormal power/temperature, equipment failure, crash, secondary disasters | Immediate termination, activate emergency response | Emergency landing, search for wreckage, analyze causes, monitor public opinion |
These measures embody a progressive safety logic from "attempting recovery" to "decisive loss mitigation," requiring operators to possess clear emergency response thinking.
Full-process recording of verification methods: Chapter 8 requires verification of the effectiveness and standardization of operations through recording and archiving. This is not only the basis for post-event traceability but also the foundation for continuous optimization of operations.
- Process Recording: Routine patrols must record the trajectory and conduct risk analysis; fire patrols must transmit the fire situation in real time (such as fire line location, spread direction, and fire intensity distribution map).
- Result Recording: The "UAV Patrol Log Form" (Appendix B) and "UAV Patrol Fire Report Form" (Appendix C) provided in the standard appendix must be filled out. These forms are scientifically designed and cover key elements such as time, location, personnel, equipment, weather, flight path, mission information, and system status.
- Data Management: Monthly reports, archives, and data retention for at least 1 year are required, along with information security protection measures. This ensures the integrity, traceability, and security of patrol data, accumulating valuable data assets for fire case analysis, prevention and control effectiveness assessment, and equipment performance evaluation.
Standard Implementation Recommendations and Future Prospects
To effectively implement GB/T 47054-2026, relevant units recommend starting from the following aspects:
- System Construction: Fire prevention management departments should formulate or revise local drone patrol management rules, emergency plans, and training and assessment outlines based on this standard to form a complete system.
- Capacity Building: Strengthen the transformation training of existing patrol personnel and the professional training of new personnel to ensure that they possess both drone operation skills and forest fire prevention expertise. Establish operation and maintenance support capabilities that match the equipment.
- Equipment Construction: Based on the terrain, area, and fire risk characteristics of the jurisdiction, scientifically configure different types of drone platforms and mission payloads to form a high-low mix and complementary equipment system. Pay attention to the construction of supporting support equipment such as mobile operation vehicles and fast charging equipment. System Integration: Promote the deep integration of the UAV patrol system with existing satellite remote sensing, video surveillance, and ground patrol systems to build an integrated air-space-ground monitoring network, achieving intelligent fusion and automatic alarm of multi-source data. Technological Iteration: Focus on and explore the application of new technologies such as artificial intelligence fire identification algorithms, 5G/satellite communication links, and UAV swarm collaborative operations within the framework of this standard, continuously improving the intelligence level and efficiency of patrols. Looking to the future, with the nationwide implementation of this standard, my country's forest and grassland fire prevention UAV patrol operations will inevitably embark on a safer, more standardized, and more efficient development path, contributing crucial "aerial power" to protecting green mountains and clear waters and building a solid ecological security barrier.