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Aqua Control - Water Billing & Quality Assessment System

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dc.contributor.author SUPERVISOR DR. SAJID GUL KHAWAJA, NS MUHAMMAD JAHANGIR ASC MUHAMMAD AKIF HUSSAIN NS ALI IQBAL ASC TALHA BIN IRFAN
dc.date.accessioned 2024-07-04T04:52:29Z
dc.date.available 2024-07-04T04:52:29Z
dc.date.issued 2024
dc.identifier.other DE-COMP-42
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/44490
dc.description Supervisor DR. SAJID GUL KHAWAJA en_US
dc.description.abstract The project named "Water Billing & Quality Assessment" provides a computerized solution to improve the efficiency of water billing and quality assessment. Instead of using agents (employees) who visit homes to record water readings manually, this system uses sensor technology integrated with micro-controllers to gather and process the data remotely. The project is centered on utilizing a STM 32 micro-controller, a series of 32-bit ARM Cortex-M based micro controllers , which uses a YFS-201 sensor for billing and pH and turbidity sensors for quality assessment. The proposed system is intended to receive and transmit data to mobile and Web applications. The project objectives are multifaceted. Our primary objective is to execute the cpp code on the STM micro controller which transmits data from sensors. An essential aspect of achieving this objective is using the LoRaWAN technology to transmit data through Lo- RaWAN servers, which support a large number of devices per gateway, making it highly scalable for massive IoT deployments. Furthermore, we emphasize establishing a mobile and web application interface to display the data being transmitted through the entire structure. The project encompasses both the development of hardware and software. A hardware system utilizing the STM micro controllers connected to the billing and quality sensors as discusses above are developed. The controllers are integrated with the LoRaWAN technology to transmit data through LoRaWAN servers to the mobile and web applications via cloud. The system’s performance is evaluated based on value accuracy from the IoT devices, real-time processing capabilities, and the quality of its visual output. en_US
dc.language.iso en en_US
dc.publisher College of Electrical & Mechanical Engineering (CEME), NUST en_US
dc.title Aqua Control - Water Billing & Quality Assessment System en_US
dc.type Project Report en_US


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