Helpmet helps avoid heat stroke by monitoring and alerting workers who are suffering from the hot weather and intense labor to take a break at the moment. The word "help" is a better explanation of the early warning function and the remote monitoring function of the management terminal, which protects the life and safety of the workers while working. Through the sound, vibration, and light sources to remind the mildly ill workers to rest or be rescued on time, and through the user's guidance content to workers popularises the correct and efficient way to avoid heatstroke.

What is Helpmet? Helpmet is an intelligent helmet designed to protect the health of construction workers in high-temperature environments, it features a sensor monitoring module and a physical information notification module that condition and transmit data to work together to monitor the user's physical app in real-time, This helps to link workers, laborers, and foremen to focus on the risks of heat-related diseases and provide timely warnings and advice. The aim is to ensure the safety and health of workers.

Design Challenge and Opportunity

The global climate crisis is exacerbating every year, causing an increase in the maximum outdoor temperature and creating harsh work conditions for outdoor workers. The situation is so severe that many workers are losing their lives to heat stroke. Unfortunately, the rights and health of outdoor construction workers have not been given the attention they deserve in the past, creating an opportunity for us to design a solution.

We propose measuring specific physical characteristics to address the problem of construction workers being unable to monitor their health and the lack of awareness of their condition. This approach will help workers better understand their physical condition and provide them with specific advice and tutorials on protecting themselves in hot environments through the app. By doing so, we reduce the learning cost of workers, and the early warning measures allow workers scattered in different corners to find out the situation in the first place, instead of going unnoticed, which ultimately leads to death.

Design Process

After conducting thorough research on various backgrounds, we decided to focus on construction workers who often work outdoors for long hours and intense physical labor.

Next, we not only delved into the design specifications of the helmet but also researched the size and weight of the helmet by conducting a competitor analysis. Then we combined the required hardware by physically wearing existing construction helmets to create the first version of the prototype. We determined the basic size, position, and shape of each component based on the above parameters, conclusions, and ergonomic principles, along with the corresponding dimensions of the sketches.

After that, we used 3D modeling software to create the exterior of the model, and once the exterior iteration was completed, we designed the internal structure. We produced functional prototypes and tested and realized the basic functions. Further, we tested the core components using 3D printing for part layout and structural strength.

UlUX In order to provide users with a clearer and more intuitive understanding of their own physical condition, we designed an app for construction workers, which can provide workers with their own physical reports in real-time through the data transmitted by the helmet, in the event of abnormal physical data, the helmet's somatosensory early warning module will be used through the app in the form of sound, vibration and flashing lights to remind the user to timely observe their own physical state, to avoid the risk of heat stroke. The foreman, as the construction site manager, also plays an important role in the Helpmet system. The foreman's app interface can quickly preview the health status of workers, and foremen can quickly receive notifications of abnormal signs, helping them to take timely measures such as alerting workers. If a worker suddenly faints while working, the helmet's physical warning module emits a more prominent sound and light effect to attract other workers to help the user seek medical attention, and the app's tutorials teach workers how to treat the unconscious user before an ambulance arrives, improving the user's chances of survival.