Rollover Detection and IoT Warning for Agricultural Hazard Areas
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Solution Overview
Problem
Ride-on agricultural machines are at high risk of rollover accidents due to factors like blind spots and poor visibility, especially on slopes, and existing telematics systems face challenges in accurately determining accident severity and location.
Innovation Solution
A system that includes a main server, relay servers, a database server, and rollover accident detection devices connected to IoT devices, which collect and analyze location data to identify hazard areas, provide safety warnings, and notify managers of potential accidents, while also optimizing display device brightness based on risk ratings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If display device brightness is increased to improve safety warning visibility in hazard areas, then safety warning effectiveness is improved, but power consumption increases
Solution Approach 1:
The display device brightness is made dynamic rather than static. The system adjusts brightness levels based on real-time hazard area risk ratings, increasing brightness when the agricultural machine enters high-risk zones and reducing brightness when in low-risk zones. This dynamic adjustment ensures safety warnings remain visible when needed while minimizing unnecessary power consumption during normal operation.
Solution Approach 2:
The system changes the brightness parameter of the display device based on the risk rating parameter of the hazard area. When the risk rating is high, the brightness parameter is increased to improve visibility of safety warnings. When the risk rating is low, the brightness parameter is reduced to conserve power. This parameter-based control resolves the contradiction between visibility and power consumption.
2Loss of time
If telematics device is used to transmit emergency dispatch messages, then rescue response time is improved, but accurate determination of accident information becomes more critical and complex
Solution Approach 1:
The system performs preliminary determination of accident information accuracy before triggering emergency dispatch. The hazard area database and risk rating system pre-assess the situation to confirm whether an accident has occurred and its severity. This preliminary action ensures that telematics devices only transmit emergency messages when accurate accident information is confirmed, avoiding false alarms while ensuring timely rescue when truly needed.
Solution Approach 2:
The system implements feedback mechanisms where the hazard area database continuously receives and processes location data, operating data, and accident information. This feedback loop allows the system to accurately determine accident status and severity before activating the telematics device for emergency dispatch, ensuring both speed and accuracy in rescue response.
3Measurement precision
If hazard area database is continuously updated with location and operating data, then accident detection accuracy is improved, but data processing load and system complexity increase
Solution Approach 1:
The hazard area database serves multiple functions: storing location data, storing operating data, calculating risk ratings, determining hazard areas, and triggering safety warnings. This multi-functionality reduces the need for separate specialized systems for each function, managing complexity while maintaining high accident detection accuracy through comprehensive data processing.
Data Source
AI summary
Disclosed herein is a system for preventing and notifying of an accident of an agricultural machine, which includes an agricultural machine accident prevention/notification server; a rollover accident detection device configured to control brightness of a display device according to a risk rating pre-assigned to a hazard area when an agricultural machine enters a hazard area and simultaneously provide an operating control command to an Internet of things (IoT) device and connected to a battery module of the agricultural machine to monitor an energy state of the battery module; and the IoT device configured to, when the operating control command is received from the rollover accident detection device, operate according to the operating control command to notify a driver of a vehicle within a radius therefrom of the presence of the agricultural machine.