The present disclosure relates to the field of environmental pollution detection and analysis. In particular, the present disclosure provides a system for facilitating pollution detection and environmental analysis based weather prediction.
BACKGROUND
[0002] Background description includes information that may be useful in understanding the present disclosure. It is not an admission that any of the information provided herein is prior art or relevant to the presently claimed disclosure, or that any publication specifically or implicitly referenced is prior art. [0003] Maintaining hygiene and pollution-free environment is crucial to sustainable living and keeping way from spread of infectious diseases. Therefore it is necessary to monitor pollution levels and changes in environmental attributes in the immediate surroundings of households, educational institutions, offices and public areas, apart from commercial and industrial spaces. Information collected can be used for real-time monitoring and adoption of subsequent actions and can also be used to facilitate storage, processing and usage in multiple ways in future. [0004] An integrated and remotely operating pollution monitoring device enabled to aggregate and index the information into single real-time accessible information for the end user has been reported in literature. Another literature describes an indoor and outdoor environmental data based device, system and method for personal health monitoring. Another prior art describes IoT based industrial air, water and noise pollution monitoring system. A harmful gas and sound pollution monitoring system has been described by another literature. However none of the disclosed literatures describe systems that integrate pollution monitoring and weather forecast facilities that can be used to cover a large area surrounding one or more predetermined regions. Hence there is need in the art to develop a system for air, sound and water quality monitoring in a location and prediction of weather in a predefined region surrounding the location for a

predetermined duration, the weather prediction and pollution level information being transmittable to display and storage devices.
[0005] Proposed invention describes a system configured to perform real¬time monitoring of extent of pollution of water, air and sound in the surroundings of one or more predefined locations, the surroundings pertaining to a large area with a predetermined radius. Based on the pollution level information collected by one or more sensors, a set of functions can be performed, which includes weather prediction corresponding to that region for a predetermined time ahead.
OBJECTS OF THE PRESENT DISCLOSURE
[0006] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0007] It is an object of the present disclosure to provide a system that facilitates detection of environmental pollution pertaining to water, air and sound. [0008] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound that enables in placing one or more sensors in one or more predefined locations. [0009] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound that enables the one or to detect a set of attributes pertaining to pollution in a predetermined region surrounding the one or more predefined locations. [0010] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound that enables transmission of the set of attributes pertaining to pollution to one or more processing units.
[0011] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound that enables transmission of the set of attributes pertaining to pollution through one or more networks.
[0012] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound

that enables the one or more processing units to perform a set of predefined functions on the detected set of attributes.
[0013] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound that enables the one or more processing units to predict changes in weather of the region based on the analyzed set of attributes.
[0014] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound that enables one or more display units to display the set of attributes and analyzed information generated from the set of attributes by the one or more processors. [0015] It is an object of the present disclosure to provide a system for facilitating detection of environmental pollution pertaining to water, air and sound that enables the one or more processors to transmit the set of attributes and the analyzed information generated from the set of attributes to one or more servers for future use.
SUMMARY
[0016] The present disclosure relates to the field of environmental pollution
detection and analysis. In particular, the present disclosure provides a system for
facilitating pollution detection and environmental analysis based weather
prediction.
[0017] An aspect of the present disclosure is to provide a system that may
facilitate detection of environmental pollution pertaining to water, air and sound.
[0018] In an aspect the system may include one or more sensors that may be
installed in one or more locations surrounding one or more predefined regions, the
range of surrounding being predetermined.
[0019] In an aspect the one or more sensors may be enabled to detect a first
set of attributes pertaining to sound, water and air pollution.
[0020] In an aspect the first set of attributes may pertain to any or a
combination of presence of one or more gases, smoke, particulates in air, acidity,
alkalinity, microbial density of water and one or more frequencies of sound signal.

[0021] In an aspect, the one or more sensors may be communicatively coupled
to one or more processing units through one or more communication networks.
[0022] In an aspect the first set of attributes may be transmitted from the one
or more sensors to the one or more processing units.
[0023] In an aspect the one or more processing units may be enabled to
perform a set of predefined functions on the detected first set of attributes and
correspondingly generate a second set of attributes.
[0024] In an aspect the second set of attributes may pertain to any or a
combination of absolute and relative concentration of one or more gases, smoke,
particulates in air, degree and change in acidity, alkalinity, microbial density of
water and variation of intensities of sound signal in relation to any or a
combination of time of day, days of week, season, festivities and traffic density.
[0025] In an aspect the one or more processing units may be configured to
predict changes in weather of the surrounding region based on the analyzed first
set of attributes.
[0026] In an aspect the one or more processing units may be communicatively
coupled to one or more display units.
[0027] In an aspect the one or more display units may be configured to
display in real-time the first and the second set of attributes, analyzed information
and weather forecast generated from by the one or more processing units.
[0028] In an aspect, the one or more processing units may be coupled to one
or more servers through the one or more communication networks.
[0029] In an aspect the one or more processing units may be enabled to
transmit the first and the second set of attributes, analyzed information and
weather forecast generated from the first set of attributes to the one or more
servers for future use.
BRIEF DESCRIPTION OF THE ACCOMPANYING DRAWINGS
[0030] The accompanying drawings are included to provide a further understanding of the present disclosure, and are incorporated in and constitute a part of this specification. The drawings illustrate exemplary embodiments of the

present disclosure and, together with the description, serve to explain the
principles of the present disclosure.
[0031] The diagrams described herein are for illustration only, which thus are
not limitations of the present disclosure, and wherein:
[0032] FIG. 1 illustrates exemplary network architecture (100) of the
proposed system for pollution detection and environmental analysis based weather
prediction, to elaborate upon its working in accordance with an embodiment of
the present disclosure.
[0033] FIG. 2 illustrates exemplary functional blocks (200) of the processing
unit (108) pertaining to the proposed system for pollution detection and
environmental analysis based weather prediction, in accordance with an
embodiment of the present disclosure.
[0034] FIG. 3 illustrates exemplary flow diagram (300) of the proposed
system for pollution detection and environmental analysis based weather
prediction, in accordance with an embodiment of the present disclosure.
[0035] FIG. 4 illustrates exemplary views (400) of the proposed system for
pollution detection and environmental analysis based weather prediction, in
accordance with an embodiment of the present disclosure.
DETAILED DESCRIPTION
[0036] In the following description, numerous specific details are set forth in order to provide a thorough understanding of embodiments of the present invention. It will be apparent to one skilled in the art that embodiments of the present invention may be practiced without some of these specific details. [0037] If the specification states a component or feature "may", "can", "could", or "might" be included or have a characteristic, that particular component or feature is not required to be included or have the characteristic. [0038] As used in the description herein and throughout the claims that follow, the meaning of "a," "an," and "the" includes plural reference unless the context clearly dictates otherwise. Also, as used in the description herein, the

meaning of "in" includes "in" and "on" unless the context clearly dictates otherwise.
[0039] While embodiments of the present invention have been illustrated and described in the accompanying drawings, the embodiments are offered only in as much detail as to clearly communicate the disclosure and are not intended to limit the numerous equivalents, changes, variations, substitutions and modifications falling within the spirit and scope of the present disclosure as defined by the appended claims.
[0040] The present disclosure relates to the field of environmental pollution detection and analysis. In particular, the present disclosure provides a system for facilitating pollution detection and environmental analysis based weather prediction.
[0041] FIG. 1 illustrates exemplary network architecture (100) of the proposed system for pollution detection and environmental analysis based weather prediction, to elaborate upon its working in accordance with an embodiment of the present disclosure.
[0042] In an embodiment, the system for pollution detection and analysis based weather prediction (100) (interchangeably known as the system (100), herewith) may include one or more sensors (102-1, 102-2,...,102-N) (collective known as sensors (102) and individually known as sensor (102)) configured to and measure a first set of attributes pertaining to environmental changes and correspondingly generate a set of input signals. The first set of attributes may be related to water, air and sound; the water, air and sound corresponding to regions within a predetermined radius centered about the one or more predetermined locations. By way of non-limiting example, the first set of attributes may pertain to any or a combination of presence of one or more gases, smoke, particulates in air, acidity, alkalinity, microbial density of water and one or more frequencies of sound signal, wherein the sound signal pertain to one or more predetermined intensities. The set of input signals may pertain to any or a combination of electrical signal, sound signal, chemical signal and the likes. The one or more

gases may include but may not be limited to carbon dioxide, carbon monoxide, methane, ammonia, nitrous oxide, alcohol, benzene smoke and the likes. [0043] In an exemplary embodiment, the one or more sensors (102) may include any or a combination of sensors and detector including but not limited to pH sensors, gas sensors, smoke detectors, particulate pollutant detectors, sound detectors, range sensors, direction sensors, humidity sensor, precipitation detector, insolation detector, light detector, temperature sensor, air pressure sensor and the likes. The one or more sensors (102) may be coupled to one or more transducers that may be configured to receive the first set of attributes from the one or more sensors (102) and convert them into a set of electrical signals of predetermined specifications.
[0044] In an embodiment, the system (100) may include one or more processing units (102) communicatively coupled to the one or more sensors (102). The one or more processing units (108) may be configured to receive the set of input signals from the one or more sensors (102) and correspondingly perform a set of functions of the set of input signals. The set of functions may pertain to generation of a second set of attributes from the received first set of attributes, followed by processing and analysis of the second set of attributes and evaluation of the level of air water and sound pollution. The one or more processing units (108) may be enabled to predict changes in weather corresponding to the region pertaining to the placement of the one or more sensors, the weather forecast being based on the changes in the level of pollution detected. The weather changes may pertain to a predetermined duration and to one or more predetermined regions of predetermined range surrounding the one or more locations pertaining to the placement of the one or more sensors. The analyzed and predicted information related to changes in the level of pollution and weather may correspond to the computer readable digital stream.
[0045] In an embodiment, the system (100) may include one or more display units (106) communicatively coupled to the one or more processing units (108). The one or more display units (106) may be configured to display the first and the second set of attributes received and generated by the one or more processing

units (108), and the analyzed and predicted information pertaining to changes in level of pollution and weather. By way of example, the one or more display units (106) may include any or a combinations of computer monitors, handheld PDA devices, tablet PCS, computers, laptop screens, smart phones, projectors, liquid crystal displays, light emitting diode displays, flashing displays, scrolling displays, continuous displays and the likes.
[0046] In an embodiment, the system (100) may include one or more networks (104) for communication, the one or more networks (104) being coupled to the one or more sensors (102), the one or more processing units (108) and the one or more display units (106). The one or more communication networks (104) may be configured to transmit the set of input signals pertaining to the first set of attributes from the one or more sensors (102) to the one or more processing units (108) and the information generated by the one or more processing units (108) to the one or more display units (106). In an exemplary embodiment, the one or more communication network (104) may be a wireless network, a wired network or a combination thereof that can be implemented as any or a combination of the different types of networks, such as Intranet, Local Area Network (LAN), Wide Area Network (WAN), Internet, GSM, 3G, 4G, 5G and the likes. Further, the one or more communication network (104) may either be a dedicated network or a shared network. The shared network may represent an association of the different types of networks that may use variety of protocols, for example, Hypertext Transfer Protocol (HTTP), Transmission Control Protocol/Internet Protocol (TCP/IP), Wireless Application Protocol (WAP), and the like.
[0047] In an embodiment, the system (100) may include one or more servers (110) configured to store information generated by the one or more processing units (108), the information related to pollution levels in water, air and sound, weather changes pertaining to the regions within the predetermined radius centered about the one or more predetermined locations. In an embodiment the information may correspond to one or more predetermined time frames. By way of example the time frame may be 3-7 days. Exemplary weather forecast may

include but may not be limited to smog, fog, precipitation, cloud, rain, storm, variations in the day and night temperatures, variations in air pressure, wind and the likes. The first and the second set of attributes pertaining to pollution may be stored for access to authorized personnel, the stored information being used for statistical analysis, long term prediction and research. By way of example the one or more servers (110) may include laptop, computer, computing device, smart phone, tablet PC, industrial asset and the likes.
[0048] In an embodiment, the one or more sensors (102), the one or more processing units (108), the one or more display units (106) and the one or more servers (110) may be operatively coupled to one or more power supply units, the one or more power supply units pertaining to converters, inverters, batteries and power lines. The one or more power supply units may be configured to deliver electric power to the one or more sensors (102), the one or more processing units (108), the one or more display units (106) and the one or more servers (110), the electric power corresponding to any or a combination of alternate current, direct current, solar current, wind current, bio-gas current and hydel current. By way of example, the one or more power supply units may include Lithium Polymer batteries, Lithium Ion batteries, Nickel Cadmium batteries, Lead Acid cells and the likes.
[0049] FIG. 2 illustrates exemplary functional blocks (200) of the processing unit (108) pertaining to the proposed system for pollution detection and environmental analysis based weather prediction, in accordance with an embodiment of the present disclosure.
[0050] As illustrated in an embodiment, the processing unit (108) may include one or more processor(s) (202). The one or more processor(s) (202) may be implemented as one or more microprocessors, microcomputers, microcontrollers, digital signal processors, central processing units, logic circuitries, and/or any devices that manipulate data based on operational instructions. Among other capabilities, the one or more processor(s) (202) may be configured to fetch and execute computer-readable instructions stored in a memory (204) of the processing unit (108). The memory (204) may store one or

more computer-readable instructions or routines, which may be fetched and executed to create or share the data units over a network service. The memory (204) may include any non-transitory storage device including, for example, volatile memory such as RAM, or non-volatile memory such as EPROM, flash memory, and the like.
[0051] In an embodiment, the processing unit (108) may also include an interface(s) (206). The interface(s) (206) may include a variety of interfaces, for example, interfaces for data input and output devices, referred to as I/O devices, storage devices, and the like. The interface(s) (206) may facilitate communication of the processing unit (108) with various devices including but not limited to networking hardware, printer, display units, portable mass storage devices and the likes coupled to the processing unit (108). The interface(s) (206) may also provide a communication pathway for one or more components of processing unit (108). Examples of such components include, but are not limited to, processing engine(s) (208), memory (204) and database (220).
[0052] In an embodiment, the processing engine(s) (208) may be implemented as a combination of hardware and programming (for example, programmable instructions) to implement one or more functionalities of the processing engine(s) (208). In examples described herein, such combinations of hardware and programming may be implemented in several different ways. For example, the programming for the processing engine(s) (208) may be processor executable instructions stored on a non-transitory machine-readable storage medium and the hardware for the processing engine(s) (208) may include a processing resource (for example, one or more processors), to execute such instructions. In the present examples, the machine-readable storage medium may store instructions that, when executed by the processing resource, implement the processing engine(s) (208). In such examples, the processing unit (108) can include the machine-readable storage medium storing the instructions and the processing resource to execute the instructions, or the machine-readable storage medium may be separate but accessible to processing unit (108) and the processing resource. In an embodiment, the processing engine may be

implemented an Internet-of-things based engine. In other examples, the processing engine(s) (208) may be implemented by electronic circuitry. A database (220) may include information that is either stored or generated as a result of functionalities implemented by any of the components of the processing engine(s) (208).
[0053] In an embodiment, the processing engine (208) may include an information collection unit (210) that may be configured to receive a first set of attributes pertaining to detection of pollution levels in air, water and sound, the first set of attributes being monitored and captured by the one or more sensors (102) and transmitted to the one or more processors (202) as a set of input signals. The one or more processors (202) may be enabled to extract, a first set of data packets from the set of input signals, the first set of data packets being computer readable digital stream of binary digits. In an exemplary embodiment, the first set of attributes may pertain to any or a combination of presence of one or more gases, smoke, particulates in air, acidity, alkalinity, microbial density of water and one or more frequencies of sound signal, wherein the sound signal pertain to one or more predetermined intensities.
[0054] In an embodiment, the processing engine (208) may include an comparison unit (212) that may be configured to compare the first set of data packets with a second set of data packets and correspondingly generate a third set of data packets. The third set of data packets may pertain to a second set of attributes, the second set of data packets pertaining to a set of threshold values of the first set of attributes. The second set of data packets may be stored in a database (220), operatively coupled to the one or more processors (202). By way of example, the second set of attributes may pertain to any or a combination of absolute and relative concentration of one or more gases, smoke, particulates in air, degree and change in acidity, alkalinity, microbial density of water and variation of intensities of sound signal in relation to any or a combination of time of day, days of week, season, festivities and traffic density. The third set of data packets may be digital in format.

[0055] In an embodiment, the processing engine (208) may include an analysis unit (214) that may be configured to determine from the third set of data packets, pollution levels in water, air and sound and correspondingly generate a fourth set of data packets. The one or more processors (202) may be enabled to determine the deviation of the pollution levels from the predetermined threshold levels and correspondingly assign indications of severity, rate of change, alarming situations, critical levels of pollution trend of change pertaining to season, time of day, day of week, month of year, festivities, pandemics and the likes. [0056] In an embodiment, the processing engine (208) may include a prediction unit (216) that may be configured to predict changes in weather based on the fourth set of data packets and correspondingly generate a fifth set of data packets. In an exemplary embodiment, the weather may pertain to the regions within predetermined radius centered about the one or more predetermined locations and may correspond to one or more predetermined time frames. By way of example, weather forecast based on the changes in pollution level and environmental factors may correspond to 3-7 days beyond current time. For an example, an increase in particle pollutants in air during winter season in a busy traffic area may lead to the conclusion of enhances smog in the region for a few days ahead.
[0057] In an embodiment, the processing engine (208) may include other units (218) that may be configured to that may be configured to implement functionalities that supplement actions performed by the one or more processors (202). In an exemplary embodiment, such actions may include transmission of the third, fourth and the fifth set of data packets to the one or more servers (110) through the one or more networks (104), secured retrieval of the third, fourth and the fifth set of data packets by authorized users, broadcast of real-time information related to pollution levels and weather forecast to user devices located in the corresponding region and the likes.
[0058] FIG. 3 illustrates exemplary flow diagram (300) of the proposed system for pollution detection and environmental analysis based weather prediction, in accordance with an embodiment of the present disclosure.

[0059] In an illustrative embodiment, the one or more sensors (102) pertaining to sound, air and water pollution detection may be placed strategically at one or more predetermined locations in the surroundings of one or more predefined regions. The range of the covered region may be predetermined and may be as large as 50 km. Information gathered by the one or more sensors may be transmitted to one or more processing units (108) through one or more communication networks (104), the one or more communication networks (104) being wireless in nature. Exemplary 5G communication may be used for transmission of information through the one or more networks (104). The one or more processors may be configured to perform a set of functions pertaining to evaluation of pollution level in the air, water and sound corresponding to the regions of placement of the one or more sensors (102) and weather forecast of the corresponding regions based on the analyzed information. The information generated by the one or more processors, the detected first set of attributes, and weather predictions may be displayed by one or more display units (not shown) or stored in one or more severs (not shown) for future use.
[0060] FIG. 4 illustrates exemplary views (400) of the proposed system for pollution detection and environmental analysis based weather prediction, in accordance with an embodiment of the present disclosure.
[0061] In an exemplary embodiment, Arduino UNO may be used as the one or more processing units (108). Sensor ESP8266 may be used for Wi-Fi(Internet Service) and Cloud(data storage), pH sensor may be used to detect water, MQ7 sensor may be used to detect carbon mono-oxide level in the air and MQ135 sensor may be used to detect different types of gases like ammonia, nitrous oxide, alcohol, benzene, smoke and C02 in air. LM393 sound sensor may be used to detect sound detection and sound pollution.
[0062] As used herein, and unless the context dictates otherwise, the term "coupled to" is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms "coupled to" and "coupled with" are used synonymously. Within the

context of this document terms "coupled to" and "coupled with" are also used euphemistically to mean "communicatively coupled with" over a network, where two or more devices are able to exchange data with each other over the network, possibly via one or more intermediary device.
[0063] The terms, descriptions and figures used herein are set forth by way of illustration only. Many variations are possible within the spirit and scope of the subject matter, which is intended to be defined by the following claims and their equivalents in which all terms are meant in their broadest reasonable sense unless otherwise indicated.
[0064] While the foregoing describes various embodiments of the invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof. The scope of the invention is determined by the claims that follow. The invention is not limited to the described embodiments, versions or examples, which are included to enable a person having ordinary skill in the art to make and use the invention when combined with information and knowledge available to the person having ordinary skill in the art.
ADVANTAGES OF THE INVENTION
[0065] The present disclosure provides for a system for facilitating detection
of environmental pollution pertaining to water, air and sound that enables in
placing one or more sensors in one or more predefined locations.
[0066] The present disclosure provides for a system for facilitating detection
of environmental pollution pertaining to water, air and sound that enables the one
or to detect a set of attributes pertaining to pollution in a predetermined region
surrounding the one or more predefined locations.
[0067] The present disclosure provides for a system for facilitating detection
of environmental pollution pertaining to water, air and sound that enables
transmission of the set of attributes pertaining to pollution to one or more
processing units.
[0068] The present disclosure provides for a system for facilitating detection
of environmental pollution pertaining to water, air and sound that enables

transmission of the set of attributes pertaining to pollution through one or more
networks.
[0069] The present disclosure provides for a system It is an object of the
present disclosure to provide a system for facilitating detection of environmental
pollution pertaining to water, air and sound that enables the one or more
processing units to perform a set of predefined functions on the detected set of
attributes.
[0070] The present disclosure provides for a system for facilitating detection
of environmental pollution pertaining to water, air and sound that enables the one
or more processing units to predict changes in weather of the region based on the
analyzed set of attributes.
[0071] The present disclosure provides for a system for facilitating detection
of environmental pollution pertaining to water, air and sound that enables one or
more display units to display the set of attributes and analyzed information
generated from the set of attributes by the one or more processors.
[0072] The present disclosure provides for a system for facilitating detection
of environmental pollution pertaining to water, air and sound that enables the one
or more processors to transmit the set of attributes and the analyzed information
generated from the set of attributes to one or more servers for future use.

We Claim:

1. A weather predicting system based on detection and analysis of environmental pollution surrounding one or more predetermined locations, the system comprising:
one or more sensors (102) configured to detect and measure a first set of attributes pertaining to environmental changes and correspondingly generate a set of input signals, wherein the first set of attributes are related to water, air and sound; the water, air and sound corresponding to regions within a predetermined radius centered about the one or more predetermined locations;
one or more networks (104) communicatively coupled to the one or more sensors (102), wherein the one or more networks are configured to transmit the set of input signals pertaining to the first set of attributes;
one or more servers (110) configured to store information related to pollution levels in water, air and sound, weather changes pertaining to the regions within the predetermined radius centered about the one or more predetermined locations, wherein the information correspond to a predetermined time duration;
one or more processing units (108) communicatively coupled to the one or more sensors (102) through the one or more networks (104), wherein the one or more processing units (108) comprise one or more processors associated with a memory, the memory storing instructions executable by the one or more processors and configured to:
extract, a first set of data packets from the set of
input signals, the set of input signals being received from
the one or more sensors (102);
compare the first set of data packets with a second
set of data packets and correspondingly generate a third set

of data packets, the third set of data packets pertaining to a second set of attributes wherein the second set of data packets pertain to a set of threshold values of the first set of attributes, wherein the second set of data packets are stored in a database (220), operatively coupled to the one or more processors (202);
determine from the third set of data packets, pollution levels in water, air and sound and correspondingly generate a fourth set of data packets;
predict changes in weather based on the fourth set of data packets and correspondingly generate a fifth set of data packets, wherein the weather pertains to the regions within predetermined radius centered about the one or more predetermined locations;
transmit the third, fourth and the fifth set of data packets to the one or more servers (110) through the one or more networks (104), wherein the third, fourth and the fifth set of data packets are configured to be retrieved securely by authorized users;
one or more display units (106) communicatively coupled
to the one or more processing units (108), wherein the one or more
display units are configured to receive the third, fourth and the fifth
set of data packets from the one or more processing units (108) and
correspondingly display the third, fourth and the fifth set of data
packets.
2. The system (100) as claimed in claim 1, wherein the set of input signals
pertain to any or a combination of electrical signal, sound signal, chemical
signal and wherein the first set of attributes pertain to any or a
combination of presence of one or more gases, smoke, particulates in air,
acidity, alkalinity, microbial density of water and one or more frequencies

of sound signal, wherein the sound signal pertain to one or more predetermined intensities.
The system (100) as claimed in claim 1, wherein the second set of attributes pertain to any or a combination of absolute and relative concentration of one or more gases, smoke, particulates in air, degree and change in acidity, alkalinity, microbial density of water and variation of intensities of sound signal in relation to any or a combination of time of day, days of week, season, festivities and traffic density. The system (100) as claimed in claim 1, wherein the one or more sensors (102) are enabled to detect the one or more networks (104), for communication, wherein the one or more networks (104) pertain to any or a combination of wired and wireless interfaces with the one or more sensors (102) and the one or more processing units (108). The system (100) as claimed in claim 1, wherein the one or more sensors (102), the one or more processing units, the one or more display units and the one or more servers (110) are operatively coupled to one or more power supply units, wherein the one or more power supply unites pertain to converters, inverters, batteries and power lines, wherein the one or more power supply units are configured to deliver electric power to the one or more sensors (102), the one or more processing units (108), the one or more display units (106)band the one or more servers (110), the electric power pertaining to alternate current, direct current, solar current, wind current, bio-gas current and hydel current.