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Скачать или смотреть HVS-3022. Manhole management system using Raspberry pi and Email Alerts.

  • HVS Technologies
  • 2024-03-22
  • 87
HVS-3022. Manhole management system using Raspberry pi and Email Alerts.
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Описание к видео HVS-3022. Manhole management system using Raspberry pi and Email Alerts.

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ABSTRACT: Manhole management system using Raspberry pi Zero W with Email Alerts
A smart city is the future goal to have cleaner and better amenities for the society. Smart underground infrastructure is an important feature to be considered while implementing a smart city. Drainage system monitoring plays a vital role in keeping the city clean and healthy. Since manual monitoring is incompetent, this leads to slow handling of problems in drainage and consumes more time to solve. To mitigate all these issues, the system using a wireless sensor network, consisting of sensor nodes is designed.
The project aims in designing a manhole management system using IOT which alerts the managing station through an email when any manhole crosses its threshold values and also the system monitors the sensors data on LCD module. This system reduces the death risk of manual scavengers who clean the underground drainage and also benefits the public.
The project makes a use of water level sensor, water flow sensor, magnetic switch(for lid), Gas sensor and raspberry pi zero w processor. The controlling device of the whole system is raspberry pi processor. In this rise in explosion due to toxic gases, overflow, water level, manhole lid left open is detected by the sensors. The signals from the sensors are fed to the raspberry pi, which is programmed to generate alerts. In this we use sensors to detect blockage, floods, and gases. The sensors will identify the clogging inside the drainage system and will give information to the user through email and further actions will be taken care by the municipal.

The major building blocks of this project are:
 Power supply
 Raspberry pi zero w.
 Magnetic switch.
 Level sensor.
 Flow sensor.
 GAS sensor.
 LCD display.

Software’s used:
1. Linux OS for raspberry pi and python language.
2. Express SCH for Circuit design.

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