Department of Electrical and Electronics Engineering
Permanent URI for this collectionhttp://localhost:4000/handle/123456789/1925
Browse
3 results
Search Results
Item Development of Cyber-Physical Systems for Water Quality Monitoring in Smart Water Grid(Springer, 2022-05) Gupta, Raj Kumar; Gupta, Karunesh KumarThere are many challenges while developing a smart city, such as air/water quality monitoring, water resource management, power grid implementation, and transport management. Water quality monitoring is one of them in which many researchers and scientists showed interest. The current water distribution systems always face leakage, failure, and maintenance delays due to the unavailability of real-time monitoring in distribution systems, which results in a high amount of water wastage. This can be solved by implementing a smart water grid. This paper proposes a solution for water quality monitoring for distribution systems in a real-time environment based on low-cost commercial off-the-shelf modules. Various water quality parameters were monitored from the developed setup. The proposed architecture can log, analyze data, make decisions, and remotely represent the data. The data obtained from various sensing nodes were uploaded to the cloud, a service provided by Amazon Web Services (AWSs). Experimental results show that the proposed low-cost sensing network can be an ideal early warning system in smart cities.Item Real-time water quality monitoring for distribution networks in IoT environment(Inder Science, 2022-04) Gupta, Karunesh Kumar; Gupta, Raj KumarWater quality has always been a significant concern worldwide as a large portion of accessible water is either contaminated or polluted, which can spread serious diseases like dysentery, diarrhoea and cholera. Before consumption, the water quality should be tested to reduce the risk of infection. In real-time applications, the traditional approach for water quality monitoring is not appropriate, as on-site water sample collection is often a cost-intensive and time-consuming process. This paper introduces a real-time assessment of water quality parameters in distribution systems employing Raspberry Pi and Arduino development boards. The parameters were chosen based on the different categories identified by the Central Pollution and Control Board, Government of India. An Arduino development board was used at the sensing node for water quality sensor interfacing, data acquisition, and transmission to the wireless sensor network via Zigbee. Raspberry Pi was used at the server to collect data and upload data on the cloud platform. The 'Thingspeak' cloud platform was used for IoT implementation. The results were validated with the reference instrument.Item Development of Cyber-Physical System for Water Quality Monitoring in Smart Water Grid(Springer, 2022-05) Gupta, Karunesh Kumar; Gupta, Raj KumarThere are many challenges while developing a smart city, such as air/water quality monitoring, water resource management, power grid implementation, and transport management. Water quality monitoring is one of them in which many researchers and scientists showed interest. The current water distribution systems always face leakage, failure, and maintenance delays due to the unavailability of real-time monitoring in distribution systems, which results in a high amount of water wastage. This can be solved by implementing a smart water grid. This paper proposes a solution for water quality monitoring for distribution systems in a real-time environment based on low-cost commercial off-the-shelf modules. Various water quality parameters were monitored from the developed setup. The proposed architecture can log, analyze data, make decisions, and remotely represent the data. The data obtained from various sensing nodes were uploaded to the cloud, a service provided by Amazon Web Services (AWSs). Experimental results show that the proposed low-cost sensing network can be an ideal early warning system in smart cities.