Harsh Environment: Traditional monitoring equipment is basically "blind" in low-visibility environments such as night, rain, snow and heavy fog, failing to achieve effective monitoring.
Delayed Response: Fires are discovered late and difficult to locate, making it easy to miss the golden fire extinguishing period.
Inefficient Manpower: Cross-regional manual patrol is extremely costly and inefficient, making it difficult to achieve all-area and full-coverage management and control.
Hardware Deployment: More than 50 high-definition thermal imaging PTZ cameras are accurately deployed in key forest areas, mountain entry checkpoints and high-risk areas across the region.
Core Algorithm: Built-in self-developed intelligent fire and smoke detection algorithm by Stonbel, breaking through environmental limitations.
Intelligent Platform: A unified centralized management platform is built to realize automatic fire identification, precise positioning and multi-level linked alarm.
Precise Point Layout: The technical team conducts on-site surveys with the assistance of drones, combines terrain slope and vegetation density data, and performs refined point planning through algorithm simulation to ensure no blind spots or dead ends in monitoring coverage.
Hardcore Protection: In response to Xinjiang's extreme low temperature (-40℃), high-altitude strong ultraviolet radiation and lightning strike risks, the equipment is optimized with military-grade three-proof protection (low-temperature start-up protection, surge and lightning strike protection, dust and water resistance) to ensure stable operation of the system.
Extreme Precision: It can accurately identify tiny temperature abnormalities of 0.1℃, the fire and smoke recognition response time is ≤ 3 seconds, and the false alarm rate is controlled below 1%.
Cost Reduction and Efficiency Improvement: It has successfully issued early warnings for multiple initial fires, minimizing fire losses, and reducing manual patrol costs by 70%.
Value Leap: It has completely changed the traditional fire prevention model, helping Xinjiang's forest fire prevention realize a leapfrog transformation from "manual prevention" to "technological prevention + intelligent prevention", greatly improving management accuracy, and winning high recognition and special commendation from customers.

