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dc.contributor.author | Mohammad Abdullah Ijaz, 01-133172-053 | |
dc.contributor.author | Aqib Hussain Shah, 01-133172-011 | |
dc.date.accessioned | 2024-06-10T09:54:23Z | |
dc.date.available | 2024-06-10T09:54:23Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | http://hdl.handle.net/123456789/17423 | |
dc.description | Supervised by Dr. Atif Raza Jafri | en_US |
dc.description.abstract | Water pollution is one major global problem which gives birth to many fatal diseases results in millions of deaths across the globe and it also affects the factors which are either directly or indirectly related to quality of life. According to survey conducted by WHO approx. 3.4 million people die due to bad water quality. World is only focusing on water resources management but they are lacking in water monitoring which leads to increase in water pollution. Water pollution causes disturbance in turbidity level. temperature, soluble salts quantity, electrical conductivity and pH of water. What if we have a proper monitoring system? Definitely, it will be changed scenario for entire globe Question is what we have till now? Till now we have only slow, GPRS based monitoring systems, which are quite expensive in terms of cost but not that much efficient. Although lab tests are efficient but they are time consuming and quite expensive too. So, what's the solution? As we are living in 21st century and this is era of lot. So, we are shifting water monitoring to this. Although few such sensor-based water monitoring products are available but they are offering less in more amount means they are quite expensive. They are in market either with pH. Temperature or conductivity sensor or two of them. Hence in this project we are proposing a water monitoring system called as water watchdog based on IoT Technology. Water watchdog is complete product in terms of hardware with multiple sensors and also have cloud service. End user can see the sensor outputs in real time, time series charts are also available to see the data trends. Water Watchdog has been accomplished by using Raspberry Pi as computational machine to process the data from different sensors such as pH, turbidity, electrical conductivity, temperature and total dissolved solids. The processed data is then updated on the server and can be analyzed. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Electrical Engineering, Bahria University Engineering School Islamabad | en_US |
dc.relation.ispartofseries | BEE;P-2702 | |
dc.subject | Electrical Engineering | en_US |
dc.subject | Turbidity Value | en_US |
dc.subject | TDS Sensor Outputs and Result | en_US |
dc.title | Water Watchdog | en_US |
dc.type | Project Reports | en_US |