I. What the Sector Covers
1.1 Scale and what is included
Forest cover is about 24%, on about 220 million hectares. The resource is large and spread out, which is why it is hard to manage. Smart forestry uses IoT, remote sensing, big data, and AI for fire watch, pest monitoring, resource surveys, ecological monitoring, and day-to-day care of the forest. The Outline of the 14th Five-Year Plan for Forestry and Grassland Protection and Development calls for smart forestry and grassland, and for that work to go digital.
Most of these sites are remote hills, short of power and of network. NB-IoT, LoRa, BeiDou short messages, and satellite fit that. Fire-watch points and ecological stations keep being added, and more of them are online.
1.2 Rules and standards
The Forest Fire Prevention Regulations set what fire monitoring has to do. Forestry IoT — Part 1: Terminology sets the terms. Gear in the forest has to be waterproof, lightning-safe, wide-temperature, and low power.
II. Where a Patrol Cannot Reach
2.1 A fire found late
The area is large and the ground is rough, so a foot patrol covers little of it. Satellite passes are too far apart, and a fire is already moving by the time the image arrives. A thermal camera, a visible camera, and a smoke sensor can watch around the clock, if they have power and a way to send the alarm.
2.2 Pests, including pine wilt and fall webworm
Pine wood nematode and fall webworm have to be found early and treated in time. A person walking sample plots is slow. Pest lamps, spore traps, and weather stations collect the readings that a warning and a treatment decision need.
2.3 No mains, and often no public network
A forest site often has neither grid power nor a public network. The usual build is solar plus a low-power link: NB-IoT, LoRa, or BeiDou. Reliability, lightning protection, and moisture are design requirements, not extras.
III. Where the Link Is Used
3.1 Fire watch
Thermal cameras, visible cameras, and smoke sensors sit on watchtowers or high points. AI marks smoke and flame, alarms, and sends the location. The picture goes up on 4G or BeiDou, including where there is no public network.
3.2 Pests
Pest lamps and spore traps collect counts on their own. A weather station reads temperature, humidity, and rain, which is what a pest forecast needs. The warning platform turns that into a treatment suggestion.
3.3 Ecology and the resource
Soil moisture, weather, and vegetation sensors describe the stand. Infrared wildlife cameras record which species pass. The same data feeds an ecological assessment and research.
IV. Numbers and Where It Has Been Used
The numbers: a forest-fire thermal camera sees 3–15 km, with a field of view of about 20°–60°. A smoke sensor covers about 100 m. A pest lamp draws insects from about 50–100 m. A typical set is solar plus battery and draws about 5–15 W. The link is usually 4G; where there is no public network it is a BeiDou short message or satellite. One to four reports a day is enough for fire watch.
Where it has been used: one forest-fire project put in 80 dual-spectrum cameras and 20 weather stations over about 500,000 mu of priority forest. AI smoke and flame detection issued 12 fire warnings in 2023. A nature reserve networked pest lamps, spore traps, and infrared cameras so pest and wildlife data upload on their own for assessment and research.
V. Who Builds It, and Which Rules Apply
The chain runs from monitoring-equipment makers (thermal, pests, weather) through the link and the platform to forestry departments. The Technical Specification for Forest Fire Video Monitoring Systems covers the camera end, the transmission, and the platform. Forestry IoT — Part 1: Terminology sets the language. Forest gear is specified to IP65, lightning protection, and a wide temperature range (−40°C to +70°C).
VI. Terms
- Pine wilt disease: a destructive disease of pines. It has to be found early and the infected trees removed in time.
- Fire-spread model: a forecast of how a fire will move, from weather, terrain, and fuel.
- BeiDou short message: a satellite message used when there is no ground network.
VII. Where It Is Heading
Space, air, and ground together: satellite, drone, and ground sensors on one picture. AI fire recognition raises how often smoke and flame are called correctly. Carbon-sink monitoring accounts for forest carbon and the trade around it. Smarter patrols put a ranger's position, route, and incident reports on the same system.
VIII. Summary
Smart forestry ties fire watch, pest monitoring, and ecological sensors so the resource and the risk are managed from the data. Low power, wide coverage, and solar are the usual requirements on a forest site.
SimtoLink supplies NB-IoT and 4G SIM cards and industrial communication modules for this work, including low-power builds and BeiDou, so a forestry department can keep a monitoring network up in the hills.