12.32 Advanced Semantic Discovery - Healthcare network and clinical knowledge administration

12.33.1 Description

Wildfire alert service is designed to detect the fire in advance. The service is provided over the selected area which can be the village, heritage site etc. Once the area is selected, drones distribute sensors over the area. To gather the CO2 and temperature measurement data from the sensors, edge gateways are deployed in the area. When the gateway receive the data from the sensor, the gateway processes the raw data via machine learning module. The machine learning module provides funcions of extracting the raw data/transforming into the standardized model, removing malfunction data in order to locate the fire. Then the processed data is sent to a M2M platform. The M2M platform is connected to the national disaster management system to share the emergency information with relavent stakeholders (e.g local government).

12.33.2 Source

RDM-2019-0134R01-Wildfire_alert_service_with_edge_gateway

12.33.3 Actors

• disposable IoT sensor: measures CO2 and temperature periodically to make sure the sensor is working properly.
• edge gateway: serves as a bridge between sensors and the M2M platform. Furthermore, this gateway processes raw data from the sensors and reports it to the platform.
• M2M platform: provides IoT common services functions (e.g. data sharing, subscription/notification).
• local government: sends public warning message as well as cooperates with forestry administration and fire department.

12.33.4 Pre-conditions

• Sensors report measurement data to the gateway periodically. The data will be stored in the M2M platform.
• Each disposable sensor has data container on the M2M platform to save the sensor measurement data.
• Sensors are spread over the area and registered to the gateway. The gateway choose the pre-defined data model to save the data such as device information, measured data. The data is sent to the M2M platform with the chosen data model.

12.33.5 Triggers

• CO2 level and temperature get higher than certain threshold(s).

12.33.6 Normal Flow

1. When the wildfire outbreaks, the sensors near the fire can detect the radical changes of temperature and CO2.
2. The edge gateway verifies that there ourbreaks the wildfire by the machine learning module.
3. The gateway reports information of the fire, such as location of the fire, status of wildfire to the M2M platform.
4. The M2M platform sends the message contains warning information to the local government.

Figure 12.33.6-1 Normal flow - Wildfire alert service with edge gateway

12.33.7 Alternative Flow

None

12.33.8 Post-conditions

None

12.33.9 High Level Illustration

Figure 12.33.9-1 High Level Illustration - Wildfire alert service with edge gateway

12.33.10 Potential requirements

1. The oneM2M System shall be able to store historical geo-location of an entity.