What Smart Emergency Covers
The system
Smart emergency management uses IoT, big data, and AI to watch, command, rescue, and rebuild after a natural disaster, an accident, a public-health event, or a public-safety incident. The build covers the information platform, the sensing network, communications, and the command center.
After the Ministry of Emergency Management was set up in 2018, the country pushed the system and the capability toward a modern form. The 14th Five-Year National Emergency System Plan calls for smart emergency management, and by 2025 it wants disaster and accident risk identified precisely, resources dispatched as one pool, and rescue forces working together. Incomplete counts put emergency command centers at county level and above at more than 3,000, and spending on the information systems keeps rising.
Rules and standards
The Emergency Response Law and the Work Safety Law set duties for monitoring, warning, and response. The Strategic Planning Framework for Emergency Management Informatization sets the idea of one cloud, one map, and one platform. Related standards include the Emergency Management Data Access Specification and the Technical Requirements for Emergency Command Communication Systems. A sensor in the field has to stay reliable in extreme conditions.
Core Pain Points
A hazard nobody sees until late
Landslides, forest fires, and floods are many and spread out. A walking patrol covers little, and a satellite pass is slow. Without sensors at the front, the hazard is found late and the warning is late. Displacement, crack, water-level, and smoke sensors can watch around the clock.
Departments that do not share a picture
An emergency pulls in meteorology, water, natural resources, fire, and the health authority. The data is scattered and the formats differ, so a command post is slow to assemble a picture and slow to act together. A shared platform and a standard interface are how the data meets.
A site with no power and no public network
A disaster site often loses power and the public network. Satellite, a mesh network, and a portable base station have to sit beside the public network so the link holds when the network does not.
Where IoT Is Used
A warning before the event
For geology, displacement meters, crack meters, and inclinometers watch a landslide or a collapse. For forest fire, thermal imaging and smoke sensors watch for a start. For flood, water level, rain, and flow watch a river or a reservoir. For hazardous chemicals, gas sensors and video watch a leak. 4G, 5G, or NB-IoT uploads the reading, and a value past the limit starts the warning on its own.
Supplies and machines
Relief goods and rescue gear carry RFID or an IoT tag so stock can be counted, a transfer followed, and a shipment watched on the road. A drone or a robot sends the picture and the data back, which is what a remote command needs.
Where the rescuers are
A positioning terminal on the rescuer lets the command center see location and status. People in a shaft or a tunnel are watched the same way. BeiDou plus 4G/5G keeps a position available when the ground is difficult.
Figures and Where It Has Been Used
Figures: A geological displacement meter is accurate to ±0.1 mm and samples from once an hour to once a day. A water-level meter is accurate to ±1 cm and, in flood season, can sample every 5 minutes. Forest-fire thermal imaging sees 3–10 km, with visible light to help identify what it saw. Field gear is mostly solar plus a battery, and the draw has to stay inside what a day of sun can put back. One BeiDou short message is 140 bytes, which is how an alarm goes out where there is no public network.
Where it has been used: One province put more than 800 displacement meters, crack meters, and inclinometers on slopes. They upload over 4G, NB-IoT, and BeiDou together. AI on the warning platform reads the displacement trend and has warned of several landslide hazards in time. One city put 50 dual-spectrum cameras, thermal plus visible, in the forest. AI recognizes smoke and flame, and finding a fire fell from about 2 hours to within 10 minutes.
Standards and the Chain
The Strategic Planning Framework for Emergency Management Informatization sets what the sensing network and the communications have to do. The Technical Guidelines for Geological Hazard Monitoring and Early Warning that Combine Professional Monitoring with Community Watch set the devices and the data format. Emergency IoT gear has to meet IP65 or better, −40°C to +70°C, and lightning protection. The chain runs from sensor makers through communication modules, platform developers, and integrators to the emergency departments.
Terms
- Emergency operations center (EOC): the hub that commands and dispatches during an incident
- Mesh network: a wireless mesh with no center that heals itself, used when the public network is down
- BeiDou short message: a short satellite message on BeiDou, sent and received with no ground network
Where the Market Is Heading
Space, air, and ground together. Satellites, drones, and ground sensors in one picture. AI warnings. Several sources plus machine learning, so the warning is more often right. Digital twin. A virtual disaster used to try a decision. A resilient city. Emergency capacity built into planning and into ordinary management, not only into the crisis.
Summary
Smart emergency joins sensing, transmission, understanding, and use so a risk is found early, a warning goes out early, and the response starts early. A stable link that can use more than one network is the infrastructure the system stands on.
SimtoLink supplies 4G/5G IoT SIM cards, industrial communication modules, and multi-network designs for emergency work, including a stable connection in the field and in extreme conditions, so a department can build a sensing network it can trust.