Match Profiler's rainwater runoff monitoring system aims to mitigate and manage risks related to flooding phenomena through the collection and analysis of data from the state of the network and all the responsible components in the drainage systems in the cities. Once the systems have been established in urban centers, those responsible for the rainwater network will receive important data such as: the state of obstruction of the drainage organs of the network in general, as well as other fundamental indicators for the management and monitoring of the entire drainage network.
Through sensors that use IoT technology and Artificial Intelligence, the teams are equipped with a system capable of modeling the entire network according to previously defined parameters, as well as the possibility of receiving flood risk alerts as a preventive time window, thus enabling a timely intervention in the maintenance of the network, avoiding possible human and/or material damages.

Currently, in the rainwater drainage system, entrance organs are installed upstream and along the network. Downstream we find exit organs. To ensure the correct functioning of the entire network, rainwater drainage depends on the exact activity of all devices, being a key element in the capture and drainage of water.
Thus, on the one hand, the water drainage network is composed of gutters, located on the sidewalks of the public road, where the entry of water into the devices is made laterally, and, on the other hand, sinks, normally inserted in the pavement of the public road, whose water entry takes place at the top, which, due to its allocation nature in cities, implies the placement of a grid to allow the entry of water, without affecting the traffic circulation.

In addition to natural phenomena, daily life in urban centers may also affect the efficiency of the entire drainage network. In a scenario where an object, such as a plastic bag, packaging or other, falls into a gutter, they may become clogged, resulting in a potential decrease in the efficiency of water flow. To prevent a similar scenario, our system will monitor the depth, and once the dimensions of the device are known, the level of internal obstruction of the gutter will be determined.
For this purpose, this system uses measurements by the ToF (Time of Flight) method, whose dynamics is based on the calculation of the time required for the propagation of a sound or electromagnetic wave to travel through the dimensions of the device. As a result, the teams will obtain a measurement of the distance between the transmitter and the point where the wave was reflected, thus revealing more signals about the level of obstruction of the storm drainage system.
On the other hand, and also guaranteeing the clearing of the upper part of the gutter, the system will help to prevent other possible scenarios caused by human action, by monitoring the level of luminosity that exists inside the gutter, since some Objects left on the public road can prevent water from flowing through the top of the devices. Thus, our system measures the light reflected into the gutter as a sign that it is unobstructed, thus ensuring the efficiency of the protection grid located at the top of the system.

• Sensors - Ultrasound and luminosity
• LPWAN Network - Lora, Gateways and TTN Network
• Cloud - AWS
• Apps - Web and Mobile