SMART NOSE SYSTEM AND METHOD THEREOF

Abstract

Disclosed is a smart nose system (100). The smart nose system (100) comprising a gas sensing system (102) with gas sensor arrays for detecting mixed gases or odors. The smart nose system (100) further comprising an information processing system (100) with a microprocessor (104), hardware, and pattern recognition algorithms for processing gas data. The gas sensing system (102) generates a unique "fingerprint" for detected gases and provides real-time alerts when gas levels exceed a predefined threshold.

Specification

Description:TECHNICAL FIELD
The present disclosure relates generally to olfaction, and more particularly relates to a smart nose system and a method thereof.

BACKGROUND
The presence of hazardous gases and pollutants in various environments presents significant risks to human health and safety, making advanced detection and monitoring systems essential. Traditional methods often fall short in delivering real-time data or offering comprehensive coverage. However, the advent of smart nose technology has transformed monitoring approaches by mimicking the olfactory abilities of humans and animals, offering heightened sensitivity and precision. These systems employ advanced sensors, such as semiconductor-based gas sensors and spectrometers, combined with AI and data analytics to detect and analyze airborne compounds at extremely low concentrations.
Smart nose technology offers distinct advantages in hazardous zone monitoring compared to conventional methods. Its portability and versatility allow for deployment in a variety of environments, while the ability to provide real-time data ensures rapid detection and response. This proactive approach helps protect workers and mitigate environmental risks, offering a more effective means of ensuring safety in industrial and other high-risk settings.
Additionally, the integration of wireless communication enhances the capability of smart nose systems by enabling remote monitoring and global data sharing. This not only increases accessibility but also ensures that decision-makers can monitor conditions from afar and respond to potential threats in real-time, further improving safety and efficiency in managing hazardous environments.
Thus, there is a need for a technical solution that overcomes the aforementioned problems of conventional nose systems.


SUMMARY
Disclosed is a smart nose system. The system includes a gas sensing system with gas sensor arrays for detecting mixed gases or odors. The system further includes an information processing system with a microprocessor, hardware, and pattern recognition algorithms for processing gas data. The gas sensing system generates a unique "fingerprint" for detected gases and provides real-time alerts when gas levels exceed a predefined threshold.
In some embodiments of the present disclosure, the gas sensing system includes MQ-2 gas sensors for detecting gas leaks, and when the gas concentration exceeds a threshold, an alarm is triggered, and notifications are sent through the Blynk IoT platform.
In some embodiments of the present disclosure, the gas sensing system further includes sensors for detecting specific gases including methane, carbon dioxide, carbon monoxide, ammonia, and nitrogen dioxide, providing real-time data displayed on an LCD screen.
In some embodiments of the present disclosure, the gas sensor arrays use metal-oxide-semiconductor (MOS) sensors for gas detection, characterized by their cost-effectiveness, quick response times, and capability to detect small quantities of hazardous gases in industrial and environmental applications.
In some embodiments of the present disclosure, an Arduino Uno microcontroller is integrated to interface with various gas and environmental sensors, allowing real-time processing of volatile organic compounds (VOCs) and odors with low power consumption.
In some embodiments of the present disclosure, the system further comprising a 16x2 LCD display for local display of sensor readings and system parameters, wherein the system is powered by a 5V DC power supply capable of delivering at least 1A for stable operation.
In some embodiments of the present disclosure, the Blynk IoT platform provides a mobile dashboard for remote monitoring and control, allowing supervisors and workers to receive real-time alerts and hazardous zone data on their smartphones.
In some embodiments of the present disclosure, the gas sensing system integrates machine learning algorithms for pattern recognition and enhanced accuracy in detecting hazardous gases, adapting to changing environmental conditions over time.
In some embodiments of the present disclosure, the smart nose features efficient power management, including options for solar power to ensure continuous operation in remote or off-grid locations, enabling long-term monitoring in hazardous environments.
In some embodiments of the present disclosure, the smart nose system is designed for scalability, including a modular design allowing for integration of multiple sensor types, real-time data processing, wireless communication, and compliance with industry safety and regulatory standards.

BRIEF DESCRIPTION OF DRAWINGS
The above and still further features and advantages of aspects of the present disclosure becomes apparent upon consideration of the following detailed description of aspects thereof, especially when taken in conjunction with the accompanying drawings, and wherein:
FIG. 1 illustrates a smart nose system, in accordance with an embodiment of the present disclosure; and
FIG. 2 illustrates a schematic view of the smart nose system of FIG. 1, in accordance with an embodiment of the present disclosure.
To facilitate understanding, like reference numerals have been used, where possible, to designate like elements common to the figures.

DETAILED DESCRIPTION
Various aspects of the present disclosure provide a smart nose system and a method thereof. The following description provides specific details of certain aspects of the disclosure illustrated in the drawings to provide a thorough understanding of those aspects. It should be recognized, however, that the present disclosure can be reflected in additional aspects and the disclosure may be practiced without some of the details in the following description.
The various aspects including the example aspects are now described more fully with reference to the accompanying drawings, in which the various aspects of the disclosure are shown. The disclosure may, however, be embodied in different forms and should not be construed as limited to the aspects set forth herein. Rather, these aspects are provided so that this disclosure is thorough and complete, and fully conveys the scope of the disclosure to those skilled in the art. In the drawings, the sizes of components may be exaggerated for clarity.
It is understood that when an element or layer is referred to as being "on," "connected to," or "coupled to" another element or layer, it can be directly on, connected to, or coupled to the other element or layer or intervening elements or layers that may be present. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The subject matter of example aspects, as disclosed herein, is described with specificity to meet statutory requirements. However, the description itself is not intended to limit the scope of this disclosure. Rather, the inventor/inventors have contemplated that the claimed subject matter might also be embodied in other ways, to include different features or combinations of features similar to the ones described in this document, in conjunction with other technologies. Generally, the various aspects including the example aspects relate to a smart nose system and a method thereof.
FIG. 1 illustrates a smart nose system 100 (hereinafter interchangeably referred to and designated as "the system 100"), in accordance with an embodiment of the present disclosure. The design of a smart nose system for hazardous zones aims to create a sophisticated detection system capable of identifying and monitoring hazardous gases and chemicals in real-time. This innovative device integrates multiple sensor types, including electrochemical, metal-oxide, and photoionization detectors, to ensure comprehensive coverage of various toxic substances. Leveraging machine learning algorithms, the system can recognize patterns in sensor data, continuously improving its accuracy and detection capabilities. The smart nose features real-time data processing and alert mechanisms, providing immediate notifications through audible alarms, visual indicators, and mobile alerts to ensure the safety of personnel. With wireless connectivity and IoT integration, the device facilitates remote monitoring and data management, enabling centralized supervision of multiple hazardous zones.
In some embodiments of the present disclosure, the system 100 is designed for robustness and reliability, the Smart Nose includes redundant systems to maintain continuous operation in harsh environments. It also offers a user-friendly interface and mobile app integration for ease of use. Efficient power management, including options for solar power, ensures sustained operation in remote locations.
In some embodiments of the present disclosure, the system 100 facilitates data logging capabilities allow for the storage and analysis of historical data, supporting predictive analytics to foresee potential hazards. The device complies with relevant safety and regulatory standards and includes fail-safe mechanisms to enhance reliability during emergencies. Its modular design allows for scalability, making it adaptable to various industrial applications.
In some embodiments of the present disclosure, the system 100 represents a cutting-edge solution for hazardous zone monitoring, combining advanced sensing technology, robust data analytics, and real-time communication to enhance safety and operational efficiency in high-risk environments.
FIG. 2 illustrates a schematic view of the smart nose system of FIG. 1, in accordance with an embodiment of the present disclosure. The smart nose system 100 designed for detecting and monitoring hazardous gases and odors in various environments. The system 100 is comprised of a gas sensing system 102 and an information processing system 100, which work together to provide real-time analysis and alerts when gas concentrations exceed predefined thresholds. This smart nose system is particularly useful in industrial settings, hospitals, homes, and other environments where the presence of harmful gases poses a significant threat to health and safety.
The gas sensing system 102 is equipped with advanced gas sensor arrays that detect mixed gases and odors, generating a unique "fingerprint" for each gas or odor. These sensor arrays are configured to capture and analyze gases at low concentrations with high sensitivity. The information generated is then processed by the information processing system 100, which consists of a microprocessor 104, supporting hardware, and specialized pattern recognition algorithms. The algorithms are capable of recognizing and categorizing the "fingerprints" of various gases, allowing the system to provide accurate and reliable real-time alerts when gas levels exceed safety thresholds.
In one embodiment, the gas sensing system 102 incorporates MQ-2 gas sensors, which are well-known for their ability to detect a wide range of gases, including methane, carbon dioxide, carbon monoxide, ammonia, and nitrogen dioxide. When gas concentrations surpass the predefined limits, the system triggers an audible and visual alarm and sends notifications through the Blynk IoT platform. This enables users to receive immediate alerts on their smartphones or other connected devices, allowing for swift action to mitigate risks.
Additionally, the gas sensing system 102 features a display interface, such as a 16x2 LCD screen, which provides real-time data on detected gas concentrations. The data is converted from analog to digital signals by the sensors and is processed by an Arduino Uno microcontroller. This microcontroller serves as the central processing unit for interfacing with the gas and environmental sensors, managing the system's operations, and providing real-time processing of volatile organic compounds (VOCs) and odors. The Arduino Uno was selected for its low power consumption, making it a cost-effective and energy-efficient solution for continuous monitoring.
The gas sensor arrays within the system 100 primarily utilize metal-oxide-semiconductor (MOS) sensors due to their robust performance in detecting small quantities of hazardous gases. MOS sensors are highly regarded for their cost-effectiveness, quick response times, and suitability for industrial and environmental applications. They offer an efficient and reliable means of monitoring gases such as carbon monoxide, nitrogen dioxide, and ammonia in confined or hazardous areas.
For seamless operation, the smart nose system 100 is powered by a 5V DC power supply capable of delivering at least 1A of current. This ensures that all components function optimally without any interruptions. Additionally, the system is equipped with power management features, including options for solar power, to ensure continuous operation in remote or off-grid locations. This makes the system ideal for long-term monitoring in industrial environments, where access to reliable power sources may be limited.
One of the distinguishing features of the system 100 is its integration with the Blynk IoT platform, which provides a mobile dashboard for remote monitoring and control. This platform enables supervisors and workers to remotely access real-time data and receive alerts about hazardous conditions directly on their smartphones. This level of connectivity enhances safety by ensuring that critical information is accessible from any location, improving response times and decision-making in hazardous situations.
The gas sensing system 102 also integrates machine learning algorithms to enhance its detection capabilities. These algorithms analyze the data collected from the sensor arrays and continuously refine the pattern recognition processes. By adapting to changing environmental conditions, the machine learning component improves the system's accuracy in detecting hazardous gases, even as conditions evolve over time.
Designed with scalability in mind, the smart nose system 100 features a modular design that allows for easy integration of additional sensor types and upgrades. This flexibility makes the system adaptable to a wide range of industrial applications, from environmental monitoring to occupational safety. Additionally, the system is designed to comply with industry safety and regulatory standards, ensuring that it is suitable for use in high-risk environments where strict adherence to safety protocols is essential.
In conclusion, the smart nose system 100 represents a cutting-edge solution for the detection and monitoring of hazardous gases. With its advanced gas sensing capabilities, real-time processing, wireless communication, and integration with the Blynk IoT platform, the system offers a comprehensive and efficient approach to enhancing safety in industrial and environmental applications. Its modularity, scalability, and compliance with regulatory standards ensure that it remains a versatile and reliable tool for gas detection and monitoring in diverse settings.
The foregoing discussion of the present disclosure has been presented for purposes of illustration and description. It is not intended to limit the present disclosure to the form or forms disclosed herein. In the foregoing Detailed Description, for example, various features of the present disclosure are grouped together in one or more aspects, configurations, or aspects for the purpose of streamlining the disclosure. The features of the aspects, configurations, or aspects may be combined in alternate aspects, configurations, or aspects other than those discussed above. This method of disclosure is not to be interpreted as reflecting an intention the present disclosure requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed aspect, configuration, or aspect. Thus, the following claims are hereby incorporated into this Detailed Description, with each claim standing on its own as a separate aspect of the present disclosure.
Moreover, though the description of the present disclosure has included description of one or more aspects, configurations, or aspects and certain variations and modifications, other variations, combinations, and modifications are within the scope of the present disclosure, e.g., as may be within the skill and knowledge of those in the art, after understanding the present disclosure. It is intended to obtain rights which include alternative aspects, configurations, or aspects to the extent permitted, including alternate, interchangeable and/or equivalent structures, functions, ranges or steps to those claimed, whether or not such alternate, interchangeable and/or equivalent structures, functions, ranges or steps are disclosed herein, and without intending to publicly dedicate any patentable subject matter.
, Claims:We Claim:
1. A smart nose system (100), comprising:
a gas sensing system (102) with gas sensor arrays for detecting mixed gases or odors;
an information processing system (100) with a microprocessor (104), hardware, and pattern recognition algorithms for processing gas data;
wherein the gas sensing system (102) generates a unique "fingerprint" for detected gases and provides real-time alerts when gas levels exceed a predefined threshold.

2. The system (100) of claim 1, wherein the gas sensing system (102) includes MQ-2 gas sensors for detecting gas leaks, and when the gas concentration exceeds a threshold, an alarm is triggered, and notifications are sent through the Blynk IoT platform.

3. The system (100) of claim 1, wherein the gas sensing system (102) further includes sensors for detecting specific gases including methane, carbon dioxide, carbon monoxide, ammonia, and nitrogen dioxide, providing real-time data displayed on an LCD screen.

4. The system (100) of claim 1, wherein the gas sensor arrays use metal-oxide-semiconductor (MOS) sensors for gas detection, characterized by their cost-effectiveness, quick response times, and capability to detect small quantities of hazardous gases in industrial and environmental applications.

5. The system (100) of claim 1, wherein an Arduino Uno microcontroller is integrated to interface with various gas and environmental sensors, allowing real-time processing of volatile organic compounds (VOCs) and odors with low power consumption.

6. The system (100) of claim 1, further comprising a 16x2 LCD display for local display of sensor readings and system parameters, wherein the system (100) is powered by a 5V DC power supply capable of delivering at least 1A for stable operation.

7. The system (100) of claim 1, wherein the Blynk IoT platform provides a mobile dashboard for remote monitoring and control, allowing supervisors and workers to receive real-time alerts and hazardous zone data on their smartphones.

8. The system (100) of claim 1, wherein the gas sensing system (102) integrates machine learning algorithms for pattern recognition and enhanced accuracy in detecting hazardous gases, adapting to changing environmental conditions over time.

9. The system (100) of claim 1, wherein the smart nose features efficient power management, including options for solar power to ensure continuous operation in remote or off-grid locations, enabling long-term monitoring in hazardous environments.

10. The system (100) of claim 1, wherein the smart nose system (100) is designed for scalability, including a modular design allowing for integration of multiple sensor types, real-time data processing, wireless communication, and compliance with industry safety and regulatory standards.

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