Water monitoring in households is important to ensure the sustainability of fresh water reserves on our planet. It provides stakeholders with the statistics required to formulate optimal strategies in residential water management. However, this should not be prohibitive and appliance-level water mon
Contextualizing Water Profligacy and Conservation
Water monitoring in households is important to ensure the sustainability of fresh water reserves on our planet. It provides stakeholders with the statistics required to formulate optimal strategies in residential water management. However, this should not be prohibitive and appliance-level water monitoring cannot practically be achieved by deploying sensors on every faucet or water-consuming device of interest due to the higher hardware costs and complexity, not to mention the risk of accidental leakages that can derive from the extra plumbing needed. Machine learning and data mining techniques are promising techniques to analyze monitored data to obtain non-intrusive water usage disaggregation. This is because they can discern water usage from the aggregated data acquired from a single point of observation.
Due to humanity’s dependency on water, its shortage can cause economic downturn and ultimately civil unrest. Understanding water use in residential environments provides considerable value to water utilities, policy makers, and water users alike.
For a domestic setting, there are a variety of questions that can be asked, which can lead to insights about the water use of a household at different levels of granularity:
- How much water is being used?
- What water is being used—is it hot or cold water, fresh water or grey water?
- When is water being used—how does the water use change over the day, week and seasons?
- Why is water being used—what are the activities related to water use?
- Where is water being used—at which fixture or fixture type is water being abstracted from?
- Who is using the water—in a multi-occupancy household or building, how can water use be attributable to individuals?
When unraveling insights about domestic water use, it is obvious that not all questions may be relevant for all stakeholders and those different exploitations may require a specific water usage contextualization to be obtained.
Our aim is to Contextualize Water Profligacy and Conservation. There is a need to manage the increased
water demand created by major sporting events, with key objectives being:
1. Minimisation of water usage - reduce, reuse and recycle
2. Protection of water resources and avoiding pollution
3. Raising awareness and promoting behavioural change
4. Considering opportunities for local education, public participation and local action which
encourage residents to use water in a more efficient way
The method being used in developing the system is the system Development Life Cycle (SDLC). Waterfall Model (SDLC) is a traditional methodology used to develop, maintain and replace or enhance information system. The main reason SDLC model is chosen because in SDLC it is possible to complete some activities in one phase in parallel with some activities of another phase. The life cycle can also be interactive that is phase are repeated as required until an acceptable system is found. It includes project identification and selection, project initiation, planning, analysis, design, implementation and maintenance.
Due to humanity’s dependency on water, its shortage can cause economic downturn and ultimately civil unrest. Understanding water use in residential environments provides considerable value to water utilities, policy makers, and water users alike.
This project may be a part of a city or county public works department and
may include all members of the community as stakeholders and number in the thousands.
Stakeholders can be:
1 Government
2 Consumer Organizations
3 Water Related Authorities
4 Research and Data Provision Authorities
Our Project will go through 4 phases. Each phase demands its own expertise level and dependent on each other. We will use some sensors to perform this reading and make the reading of measurement automatic. We are applying the concept of IoT in order to see the data remotely.
The following is the desired functionality of the new system. The functional requirements
consist of following parts:-
1 Sensing elements like Water Usage and Water Flow
2 Collection of Data from Sensors
3 Sending Data to Web Server with GMS/ Wi-Fi Module
4 Manipulating Data by Appling Machine Learning Algorithms
5 Generating Reports from Results
By summing up all these facts we will generate and publish a report after data manipulation that would be useful for government, other water related authorities and water stake holders.
Depending on the complexity and scope of a project there are very few numbers of
stakeholders. This project may be a part of a city or county public works department and
may include all members of the community as stakeholders and number in the thousands.
Stakeholders can be:
1 Government
2 Consumer Organizations
3 Water Related Authorities
4 Research and Data Provision Authorities
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Arduino Wifi | Equipment | 3 | 1000 | 3000 |
| water flow sensor 1-30L/min | Equipment | 4 | 650 | 2600 |
| 9v battery | Equipment | 3 | 90 | 270 |
| battery clip | Equipment | 3 | 15 | 45 |
| f2M wire single | Equipment | 3 | 10 | 30 |
| M2M wire single | Equipment | 3 | 10 | 30 |
| Power Jack Male | Equipment | 3 | 15 | 45 |
| Stationary | Equipment | 1 | 300 | 300 |
| Sanitary | Equipment | 1 | 2000 | 2000 |
| Bread Board | Equipment | 1 | 150 | 150 |
| Total in (Rs) | 8470 |
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