FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003
COMPLETE SPECIFICATION
(See Section 10 and Rule 13)
Title of Invention
AN INTELLIGENT TACTICAL ROOF MOUNTED DEVICE FOR RAIN
WATER CLEANING & AIR PURIFICATION
Applicant:
Lovely Professional University
Jalandhar Delhi GT Road
Phagwara
Punjab
India-144411
1
Signature Not Verified
Digitally Signed.
Name: Runjhun Tandon
Date: 15-Feb-2024 13:13:07
Reason: Patent Efiling
Location: DELHI
The following specification particularly describes the invention and the manner it
is to be performed.
TECHNICAL FIELD
The present invention discloses a novel device and system for rain water
harvesting. The present system may be useful for early rain detection, filtration
and storage of rain water as per requirements.
BACKGROUND
[001] The effectiveness of rainwater harvesting depends on the amount and
regularity of rainfall in a given region. In areas with low or irregular rainfall,
the system may not collect enough water to meet the desired needs. The
collected rainwater may be susceptible to contamination from various sources,
including air pollutants, bird droppings, debris, and contaminants on the roof
surface. This may affect the quality of the stored water and make it unsuitable
for certain uses without proper filtration and treatment. The type of roofing
materials used may impact the quality of harvested rainwater. Some materials,
such as asbestos or treated wood, may leach harmful substances into the water,
making it unsafe for consumption or other domestic uses. Stagnant water in
storage tanks may become a breeding ground for bacteria, algae, and other
microorganisms. This may lead to waterborne diseases and compromise the
quality of the harvested rainwater. Regular cleaning and maintenance of the
storage system are essential to prevent microbial growth. Rainwater harvesting
systems require regular maintenance to ensure their efficiency and longevity.
Clogged gutters, filters, or other components may impede the collection
process. Neglecting maintenance may result in reduced water quality and
system malfunction. The installation of rainwater harvesting systems may
involve a significant upfront cost, including the purchase of storage tanks,
filtration systems, and plumbing infrastructure. Additionally, the complexity
of the system may pose a challenge for some users, requiring professional
expertise for proper design and installation. The storage capacity of rainwater
harvesting systems may be insufficient during periods of heavy or prolonged
2
rainfall. Adequate storage is crucial to ensure a consistent and reliable water
supply during dry spells.
[002] Airborne dust and soil particles may settle on roofs and be washed into the
collection system by rainwater. Chemical pollutants from the atmosphere,
such as industrial emissions and vehicle exhaust, may dissolve in rainwater.
Some roofing materials may release chemicals, such as heavy metals or
organic compounds, into the harvested water. Microorganisms from bird
droppings, animal feces, or other sources may contaminate rainwater. Stagnant
water in storage tanks may promote the growth of algae and fungi if not
properly maintained. Birds on rooftops may contribute to bacterial
contamination and introduce other pollutants into the system. These may be
washed into the collection system by rainwater and may introduce organic
matter and contaminants. Some roofing materials, like galvanized metal, may
introduce trace amounts of metals such as zinc into the harvested water. The
first flush of rainwater may contain a higher concentration of contaminants
washed from the roof, including dust, pollutants, and debris.
[003] CN106576557B discloses a water and fertilizer integrated drip irrigation
system based on an intelligent rain collecting greenhouse. It includes an
electric driving device, a rain collecting device, a rain automatic detection
device (1), and a rain and fertilizer integrated drip irrigation system. The rain
preventing device is made up of a rain-proof film (3), a rain-proof framework
(4), and a fixed shaft (5). The rainfall automatic detection device (1) is made
up of a PLC (11) that is electrically connected to a motor (7), an air pressure
sensor (13), a rainfall sensor (12) and an electrically connected to the PLC
(11). There is no filtration system for collected water.
[004] CN214758089U describes an environmental protection curtain of a green
building and falls under the technical domain of building walls. It consists of a
curtain body that is fixed to the outer wall of the building, on which a number
of boards and a number of shielding plates of holding are placed. The boards
3
are installed in the installing frame and are arranged vertically equidistantly,
and each holds and has a number of green planting basins placed on it. The
shielding plate is installed outside the installing frame, precisely where the
green planting basin was planted. Install the driving piece that is utilized to
drive the vertical removal of shielding plates from the installing frame. The
device is too complex to be used.
[005] A practical solution is therefore required for the aforementioned issue. The
issues identified in the prior art are resolved by the present invention.
However, there is a demand for low-cost, easy to use, more easily adaptable
technology.
SUMMARY
[006]
Before the current method for a rain water harvesting device and
system is described, it should be understood that there are numerous possible
embodiments that are not expressly illustrated in the present disclosure, and
that the method is not limited to the specific system(s) and methodologies
described. Additionally, it should be noted that the terminology used in the
description is only intended to describe the specific implementations, versions,
or embodiments, and is not meant to restrict the application's overall scope.
The purpose of this brief is to introduce key elements of a rain water
harvesting device and system. This summary is not intended to define or limit
the claimed subject matter, nor is it designed to identify key characteristics of
the claimed subject matter.
[007] Disclosed is a rain water harvesting device and system having plurality of
sensors in data collection module.
[008] In one of the implementations, a data analysis module using machine
learning for analysis of collected water.
[009] In another implementation, a data filtration module filtering the collected
water along with storage module to store harvested water.
4
[0010] In yet another implementation, the disclosed invention is easy to use, cost
effective and scalable at large level.
BRIEF DESCRIPTION OF THE DRAWINGS
[0011]
Reading the aforementioned extensive explanation of embodiments
in conjunction with the attached figures may help you comprehend it better.
An example of the construction of the present subject matter is provided as
figures for the purpose of illustration; nevertheless, the invention is not
restricted to the precise method described in the document and the figures.
[0012]
With reference to the accompanying figures, the current subject
matter is discussed in full. The leftmost digit(s) of a reference number in a
figure designates the figure where the reference number first appears. The
same numerals are consistently utilized in the drawings to relate to different
aspects of the current subject matter.
[0013]
Figure 1 illustrates a diagrammatic representation of the rain water
harvesting device and system
[0014]
[0015]
DETAILED DESCRIPTION
The depth about a few embodiments of this disclosure now that
they illustrate all of its aspects.
The terms "comprising," "having,"
"containing," and "including," as well as other variations on these words, are
meant to have an equivalent meaning and to be open-ended, meaning that any
item or items that come after one of these terms are not intended to be an
exhaustive list of that item or those items or to be limited to just the item or
items that are listed. The single terms "a," "an," and "the" as used above and
in the attached claims, unless the context clearly requires otherwise,
encompass plural references. Although any technique or procedure for making
a rain water harvesting device and system that is comparable to or identical to
those described here may be used in the testing or application of embodiments
of the present disclosure, the illustrative procedure for making a rain water
5
harvesting device and system is now described. The disclosed rain water
harvesting device and system are only illustrative examples of the disclosure,
which may be incorporated in numerous ways.
[0016]
The basic principles described herein may be used to other
implementations for preparing a rain water harvesting device and system, and
many adjustments to the embodiment is immediately evident to those
knowledgeable in the art. The present disclosure for a method of preparing a
rain water harvesting device and system, however, is not intended to be
limited to the embodiments described, but is to be given the broadest scope
possible in accordance with the principles and features described herein, as is
evident to one of ordinary skill in the art.
[0017] In one embodiment, ML algorithms may analyze historical weather data to
predict future rainfall patterns in a specific region. This information helps in
optimizing the design of rainwater harvesting systems and planning for
potential water shortages or excess. They may analyze data on local climate,
roof characteristics, and water demand to optimize the design of rainwater
harvesting systems. This includes determining the appropriate size of storage
tanks, selecting filtration methods, and optimizing the overall system
configuration for maximum efficiency. These models may be trained to
analyze real-time sensor data for water quality monitoring. They may detect
anomalies, identify contaminants, and provide alerts for necessary
maintenance or water treatment. They may analyze data from sensors, flow
meters, and other monitoring devices to predict when maintenance tasks are
required. Predictive maintenance may help prevent system failures, ensuring
the continuous and reliable operation of rainwater harvesting systems. They
may be applied to analyze water usage patterns and predict future demand.
This information may help in optimizing the distribution of harvested
rainwater to different end-users, ensuring efficient utilization and preventing
water shortages. They may optimize the energy consumption of components
like pumps and filtration systems based on real-time data, leading to more
energy-efficient rainwater harvesting systems. They may process and analyze
6
large datasets related to rainfall, water usage, and system performance. This
information may support data-driven decision-making for system optimization
and overall water resource management. They may analyze user behavior
patterns related to water consumption. This information may be used to
implement strategies for water conservation and educate users on sustainable
water usage practices. They may be combined with Internet of Things (IoT)
devices to create a network of interconnected sensors and actuators. This
integration allows for real-time data collection, analysis, and control of
various components within the rainwater harvesting system. They may
continuously learn from system performance data to adapt and optimize
control strategies. This adaptability may lead to improved efficiency and
responsiveness to changing environmental conditions.
[0018] In another embodiment, reinforcement learning allows rainwater
harvesting systems to adapt to changing environmental conditions, such as
variations in rainfall patterns, temperature, and user water demand. The
system may learn and adjust its behavior in response to dynamic and evolving
factors. These enable continuous learning by interacting with the environment
over time. This capability allows the system to adapt to evolving user
behavior, changing water quality conditions, and other dynamic factors,
leading to ongoing optimization. These systems involve complex decisionmaking processes, such as determining when to collect rainwater, how much
water to distribute, and when maintenance is needed. RL algorithms may
handle the complexity of these decision spaces and learn optimal policies.
They excels in finding a balance between exploration and exploitation. In the
context of rainwater harvesting, this balance is crucial for efficient water
collection, storage, and distribution. They may optimize the use of resources
in rainwater harvesting systems, such as energy consumption for pumps, tank
storage capacity, and filtration processes. This may lead to more sustainable
and resource-efficient operation. It enables real-time adaptation to changing
circumstances. For example, if a sudden heavy rainfall occurs, the system may
7
quickly adjust its collection and distribution strategies to make the most of the
available water. They may learn and adapt to individual user preferences and
water usage patterns, providing a more personalized and efficient experience
for end-users.
[0019] In another embodiment, referring to figure 1, a rain water device and
system has a data collection module (101) with plurality of sensors for data
collection; a data analysis module (102) with machine learning for data
analysis; a filtration and storage module (103) for filtration and storage of
harvested water. The plurality of sensors are selected from rain water sensors,
air quality sensor, pH, turbidity, dissolved oxygen, conductivity, temperature,
magnetic, ultrasonic and turbine flow meter alone or in combination thereof.
[0020] In another embodiment, the plurality here means two or more, the
filtration and storage module has a servo motor open wings for water
collection, water level sensor to check water level. The system has a mobile
application which notifies the user about collected water quality through
graphs.
[0021] In yet another embodiment, the disclosed invention is easy to use, cost
effective and scalable at large level.
Dated this 24th Day of Jan, 2024
Dr. Runjhun Tandon, IN/PA/3208, Registered Patent Agent
8
We claim,
1. A rain water harvesting device and system comprising of:
a rain water device and system has a data collection module (101) with
plurality of sensors for data collection;
a data analysis module (102) with machine learning for data analysis;
a filtration and storage module (103) for filtration and storage of
harvested water.
2.
The device as claimed in claim 1, wherein the device and system are
capable of real time monitoring of harvested water.
3. A device as claimed in claim 1, wherein plurality of sensors are selected from
rain water sensors, air quality sensor, pH, turbidity, dissolved oxygen,
conductivity, temperature, magnetic, ultrasonic and turbine flow meter alone or in
combination thereof
4. A device as claimed in claim 1, wherein the filtration and storage module has a
servo motor open wings for water collection, water level sensor to check water
level
5. A device as claimed in claim 1, wherein has a mobile application which notifies
the user about collected water quality through graphs.
6. A device as claimed in claim 1, wherein the machine learning algorithm is
reinforcement learning.
Dated this 24th Day of Jan, 2024
Dr. Runjhun Tandon
IN/PA/3208
Registered Patent Agent
9
Abstract
AN INTELLIGENT TACTICAL ROOF MOUNTED DEVICE FOR RAIN
WATER CLEANING & AIR PURIFICATION
RL algorithms may be used to dynamically control important rainwater harvesting
system components like water collection, storage, and distribution. Recurrent
learning models (RL models) may adjust to variations in rainfall patterns, user
water demand, and system performance by means of ongoing system interaction
and feedback monitoring. Because of its adaptability, the rainwater harvesting
system may maximize resource use, enhance overall efficiency, and manage water
quality better. Through the use of reinforcement learning (RL), these systems
have the ability to independently modify their tactics over time in order to
maximize rainwater collection, reduce waste, and react appropriately to changing
environmental conditions. This ultimately leads to the development of more
resilient and sustainable water management techniques.
[To be published with figure 1]
Dated this 24th Day of Jan 2024
Dr. Runjhun Tandon
IN/PA/3208
Registered Patent Agent
10
Applicant: Lovely Professional University
Sheet 1/1
Figure 1
Dated this 24th Day of Jan, 2024
Dr. Runjhun Tandon
IN/PA/3208
Registered Patent Agent
11