Description:FIELD OF THE INVENTION

[0001] The present invention relates to an automated air-quality management system for industries that provides real-time air quality monitoring and assistance to workers in emergency situations and also enables swift response and care by integrating with medical personnel and facilities, while optimizing air quality management to ensure a safe working environment.

BACKGROUND OF THE INVENTION

[0002] Air quality has become a significant concern globally, with the World Health Organization (WHO) estimating that nine out of ten people worldwide breathe polluted air. The situation is particularly alarming in industrial settings, such as thermal plants, where workers are exposed to hazardous air pollutants, including particulate matter (PM), nitrogen dioxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO). Prolonged exposure to these pollutants leads to severe health issues, including respiratory diseases, such as chronic obstructive pulmonary disease (COPD) and asthma, cardiovascular problems, and even cancer.

[0003] Thermal plants, in particular, pose significant air quality challenges due to the combustion of fossil fuels, which releases harmful pollutants into the atmosphere. Workers in these plants are at risk of exposure to these pollutants, which have devastating consequences for their health. Furthermore, the indoor air quality in thermal plants is particularly poor due to the lack of adequate ventilation and air cleaning systems.

[0004] Traditional methods of air quality management in industries rely heavily on manual monitoring and control systems. These systems typically involve periodic air quality assessments, which are often time-consuming and may not provide real-time data. Furthermore, traditional systems often lack the ability to detect emergencies and prioritize medical attention, leading to delayed responses and inadequate treatment. Workers are also not provided with real-time air quality information, making it difficult for them to take proactive measures to ensure their safety.

[0005] The traditional methods of air quality management have several drawbacks. Firstly, manual monitoring systems are prone to errors and not provides accurate data. Secondly, the lack of real-time monitoring and emergency detection capabilities leads to delayed medical responses, exacerbating health conditions. Thirdly, the absence of prioritized medical attention results in workers with critical conditions not receiving timely treatment. Finally, the failure to provide workers with real-time air quality information leads to a lack of awareness and proactive measures, putting their health and safety at risk.

[0006] US7302313B2 discloses an air monitoring system is disclosed having an air monitoring unit with at least one sensor for measuring data of an air quality parameter and a computer for storing the air quality parameter data received from the sensor. The air monitoring unit may use an installed or a portable system, or a combination of both, for measuring the air quality parameters of interest. A remote data center may be provided, and the data may be uploaded to the data center from the unit by a communications media such as the Internet. Information or instructions may also be downloaded from the data center to the unit via the communications media for controlling or modifying the function of the unit. An expert system may be provided with the air monitoring system for controlling the unit. The information or instructions downloaded to the unit may be generated by the expert system.

[0007] US5831876A discloses a method for monitoring air pollution within a significant atmospheric volume and for providing real time and projected results and effects based upon varying the inputted data as a function of pollution abatement procedures that might be implemented. Data collected from a plurality of sources are converted into an electronic database which may be automatically and/or periodically updated. A series of software modules utilize the data for a series of specific representations. The output provided by modeling and simulation modules may be in the form of two- or three-dimensional visual presentations in a specially equipped multiple, computer-driven, projector screen room. The output may also be in the form of printed media for binding and distribution with screen images combined with text.

[0008] As per the discussion in the above-mentioned prior arts, many methods and systems are available that focus on monitoring air quality in industrial settings. However, these conventional systems and methods fail to provide real-time emergency responses to workers exposed to hazardous air quality, resulting in delayed medical attention. Furthermore, these existing systems also lack the capability of prioritizing workers based on the severity of their exposure, leading to inadequate and delayed treatment, which exacerbates health conditions.

[0009] In order to overcome the aforementioned drawbacks, there exists a need in the art to develop a system that requires to provide a provision of managing emergency responses to workers exposed to hazardous air quality in industrial settings, for timely and effective medical intervention. The developed system also needs to prioritize workers based on the severity of their exposure, and share relevant health data with medical personnel in a secure manner, ensuring prompt and proper treatment, and minimizing the risk of exacerbating health conditions.

OBJECTS OF THE INVENTION

[0010] The principal object of the present invention is to overcome the disadvantages of the prior art.

[0011] An object of the present invention is to develop a system that is capable of ensuring a safe working environment by continuously monitoring and detecting air quality parameters in industries, thereby providing real-time air quality monitoring.

[0012] Another object of the present invention is to develop a system that is capable of identifying workers exposed to hazardous air quality and detecting potential health emergencies for enabling prompt medical intervention, thereby ensuring early detection of health emergencies.

[0013] Another object of the present invention is to develop a system that is capable of prioritizing workers based on the severity of their exposure, ensuring those in critical need receive immediate attention.

[0014] Another object of the present invention is to develop a system that is capable of sharing relevant health data with medical personnel in a secure manner for facilitating prompt and proper treatment.

[0015] Another object of the present invention is to develop a system that is capable of optimizing plant operations to prevent further exposure to hazardous air quality for minimizing the risk of exacerbating health conditions.

[0016] Another object of the present invention is to develop a system that is capable of providing workers with real-time air quality information and alerts for enabling them to take pro-active measures to ensure their safety.

[0017] Another object of the present invention is to develop a system that is capable of automating emergency response protocols for reducing response times and ensuring timely medical intervention.

[0018] Yet another object of the present invention is to develop a system that is capable of developing a safer and healthier work environment for reducing the risk of respiratory diseases and other air quality-related health issues.

[0019] The foregoing and other objects, features, and advantages of the present invention will become readily apparent upon further review of the following detailed description of the preferred embodiment as illustrated in the accompanying drawings.

SUMMARY OF THE INVENTION

[0020] The present invention relates to an automated air-quality management system for industries, which enables workers to quickly respond to air-quality emergencies and receive medical assistance when required. In addition, the proposed system is also capable of continuously monitoring and detecting vital health parameters of workers exposed to poor air quality, while also notifying medical personnel and facilities about the worker's severity level, enabling them to prepare for prompt reception and treatment.

[0021] According to an embodiment of the present invention, an automated air-quality management system for industries, comprising a plurality of housings are configured to be positioned on the ground surface of a thermal plant, the housings are equipped with multiple motorized wheels arranged underneath, enabling navigation around the plant, which facilitates the inspection module, installed on the housing via an extendable pole, to detect air quality parameters within the plant's environment and dynamically adjust based on environmental conditions, the inspection module comprises a NDIR sensor, a laser PM sensor, a gas sensor, a temperature sensor, and a humidity sensor to assess the air quality parameters of the surrounding air, a microcontroller associated with the system processes the detected air quality parameters to evaluate the necessity for air filtration, an indoor positioning module coupled with a GPS module allows the housing to navigate the plant autonomously, a suction fan installed on the housing works in conjunction with a linear slider to maintain the fan's height, ensuring optimal extraction of air from the surrounding environment, the extracted air is then directed towards an intake pathway within the housing for further processing, a plurality of filtration sections are installed within the housing, each deployable via an Archimedes lifting arrangement, the filtration sections include an ionizer, an activated carbon filter, and a membrane filtration unit, these components purify the air by reducing particulate matter, removing volatile gases and organic compounds, and purifying CO2 and carbon monoxide, each filtration section is equipped with an electronic valve regulating airflow, which opens to permit extracted air to enter the deployed section, followed by activation of the arrangement to remove pollutants and impurities, the purified air is then expelled via an exhaust fan integrated within each filtration section, ensuring a safe and breathable environment for workers.

[0022] According to another embodiment of the present invention, the proposed system further comprises of a holographic projection unit arranged on the housing serves as a dynamic display interface that projects real-time air quality index visuals and assistive notifications for workers, including flashing colored lights indicating air quality status, a user interface installed in a computing unit wirelessly linked with the system enables workers to provide data regarding medical and personal details, which creates a profile for the worker, updated on a database linked with the system, an artificial intelligence-based imaging unit installed on the housing captures and processes multiple images in the vicinity, the imaging unit detects facial expressions of workers using facial recognition to authenticate workers and associates specific medical prescriptions with individual profiles, in emergency situations, a speaker installed on the housing provides audible guidance to position their hand on a band configured with the housing, a health monitoring module consisting of a FBG sensor detects vital health parameters of the worker, a chamber incorporated within the housing stores multiple respiratory gears, a robotic arm installed on the housing retrieves and positions a suitable gear in proximity to the worker, which enables the worker to access the gear and receive an appropriate amount of oxygen, maintaining their health and a battery is configured with the system for providing a continuous power supply to electronically powered components associated with the system.

[0023] While the invention has been described and shown with particular reference to the preferred embodiment, it will be apparent that variations might be possible that would fall within the scope of the present invention.

BRIEF DESCRIPTION OF THE DRAWINGS

[0024] These and other features, aspects, and advantages of the present invention will become better understood with regard to the following description, appended claims, and accompanying drawings where:
Figure 1 illustrates an isometric view of a housing associated with an automated air-quality management system for industries; and
Figure 2 illustrates a perspective view of multiple filtration sections associated with the proposed system.

DETAILED DESCRIPTION OF THE INVENTION

[0025] The following description includes the preferred best mode of one embodiment of the present invention. It will be clear from this description of the invention that the invention is not limited to these illustrated embodiments but that the invention also includes a variety of modifications and embodiments thereto. Therefore, the present description should be seen as illustrative and not limiting. While the invention is susceptible to various modifications and alternative constructions, it should be understood, that there is no intention to limit the invention to the specific form disclosed, but, on the contrary, the invention is to cover all modifications, alternative constructions, and equivalents falling within the spirit and scope of the invention as defined in the claims.

[0026] In any embodiment described herein, the open-ended terms "comprising," "comprises,” and the like (which are synonymous with "including," "having” and "characterized by") may be replaced by the respective partially closed phrases "consisting essentially of," consists essentially of," and the like or the respective closed phrases "consisting of," "consists of, the like.

[0027] As used herein, the singular forms “a,” “an,” and “the” designate both the singular and the plural, unless expressly stated to designate the singular only.

[0028] The present invention relates to an automated air-quality management system for industries, which enables workers to quickly respond to air-quality emergencies and receive medical assistance when required as well as continuously monitors and detects vital health parameters of workers exposed to poor air quality in real-time, while also notifying medical personnel and facilities about the worker's severity level to prioritize medical reception.

[0029] Referring to Figure 1 and 2, an isometric view of a housing associated with an automated air-quality management system for industries and a perspective view of multiple filtration sections associated with the proposed system are illustrated, respectively comprising a housing 101 integrated with motorized wheels 102 arranged underneath the housing 101, an inspection module 103 installed on the housing 101 with an extendable pole 104, a suction fan 105 is installed on the housing 101, configured in conjunction with a linear slider 106, plurality of filtration sections 107 installed within the housing 101 via Archimedes lifting arrangement 201, each filtration section 107 is equipped with an electronic valve 109.

[0030] Figure 1 and 2 further illustrates an exhaust fan 202 integrated within each filtration section, a holographic projection unit 108 arranged on the housing 101, an artificial intelligence-based imaging unit 110 installed on the housing 101, a speaker 111 installed on the housing 101, a band 112 configured with the housing 101, a health monitoring module 113 incorporated in the band 112, a chamber 114 incorporated within the housing 101 and a robotic arm 115 installed on the housing.

[0031] The system disclosed herein, comprises of a plurality of housing 101, serving as a main structure of the system. The housing 101 is designed to be positioned on the ground surface of a thermal plant, providing a stable and secure solution for the housing’s 101 operations. To facilitate mobility and navigation around the plant, the housing 101 is equipped with a plurality of motorized wheels 102 arranged underneath.

[0032] The housing’s 101 movement is guided by an indoor positioning module coupled with a GPS (Global Positioning System) module, which are linked with an inbuilt microcontroller associated with the system to enable the housing 101 to move autonomously within the plant, navigating through the facility with precision and accuracy. The indoor positioning module includes but not limited to Wi-Fi (wireless fidelity), Bluetooth, or Ultra-Wideband (UWB), to determine the housing’s 101 location within the plant.

[0033] The GPS module, on the other hand, provides location information and timing data that helps to synchronize the housing’s 101 movement with the plant's layout. The microcontroller combining the indoor positioning module with the GPS module to provide accurate and reliable location data, even in areas with limited GPS coverage, thereby enables the housing 101 to navigate the plant efficiently for avoiding obstacles and finding the most optimal route to its destination.

[0034] The GPS (Global Positioning System) module consists of a receiver that communicates with the satellites to synchronize the housing’s 101 movement with the plant's layout. The GPS (Global Positioning System) module constantly receives signals from the satellites and calculates the coordinates. The GPS module works by receiving signals from multiple satellites orbiting the Earth. The GPS module uses the timing of these signals and trilateration to calculate the movement of the housing 101 within the plant's layout. The microcontroller linked with the GPS (Global Positioning System) module processes the data received from the GPS (Global Positioning System) module sent to the microcontroller.

[0035] An inspection module 103 installed on the housing 101 by means of an extendable pole 104. After receiving the data, the microcontroller actuates the pole 104 to get extend and retract to detect air quality parameters within the environment of the plant. The extension of the pole 104 is powered by a pneumatic unit that utilizes the compressed air to extend and retract the pole 104. The process begins with an air compressor which compresses atmospheric air to a higher pressure. The air cylinder of the pneumatic unit contains a piston that moves back and forth within the cylinder. The cylinder is connected to one end of the pole 104. The piston is attached to the pole 104 and its movement is controlled by the flow of compressed air. To extend the pole 104 the piston activates the air valve to allow compressed air to flow into the chamber behind the piston. As the pressure increases in the chamber, the piston pushes the pole 104 to the desired length for analysing air quality in different areas.

[0036] Simultaneously, the microcontroller activates the inspection module 103 to detect air quality parameters within environment of the plant. The inspection module 103 includes a NDIR (Non-dispersive infrared) sensor, a laser PM (Particulate Matter) sensor, a gas sensor, a temperature and humidity sensor for assessing the air quality parameters of the surrounding air. The NDIR sensor works by emitting infrared radiation through a chamber 114 filled with the sample gas, in this case, the surrounding air. The infrared radiation is then absorbed by the gas molecules, and the amount of absorption is directly proportional to the concentration of the gas. The NDIR sensor uses this principle to measure the concentration of carbon dioxide (CO2) and other greenhouse gases in the air. The sensor consists of an infrared source, a detector, and a reference cell, which work together to provide accurate and reliable measurements.

[0037] The laser PM (Particulate Matter) sensor uses laser technology to detect and measure the particulate matter (PM) in the air. The sensor emits a laser beam that scatters off the particles in the air, and the scattered light is then detected by a photodetector. The amount of scattered light is directly proportional to the concentration of PM in the air. The Laser PM sensor detects PM of various sizes, including PM2.5 to PM10.

[0038] The inspection module 103 also includes a gas sensor, which detects the presence of various gases in the air, such as nitrogen dioxide (NO2), ozone (O3), and volatile organic compounds (VOCs). The gas sensor typically uses a metal oxide semiconductor (MOS) or electrochemical sensor to detect the gases. These sensors work by changing their electrical properties in response to the presence of specific gases. Similarly, the inspection module 103 also includes a temperature and humidity sensor, which measures the temperature and humidity levels in the air, which are important factors in determining air quality. The temperature and humidity sensor typically uses a thermistor or thermocouple to measure temperature, and a capacitive or resistive sensor to measure humidity.

[0039] All the sensors in the inspection module 103 work together to provide information about the air quality parameters in the surrounding air. The data from these sensors is then transmitted to the microcontroller, where it is processed and analyzed to determine the air quality index. The microcontroller uses this air quality index to determine whether air filtration is necessary. If the air quality index exceeds a predetermined threshold, the microcontroller sends a signal to the suction fan 105, which is installed on the housing. The suction fan 105 is configured in conjunction with a linear slider 106, which maintains the height of the fan to ensure optimal extraction of air from the surrounding environment.

[0040] The linear slider 106 allows the suction fan 105 to adjust its height to accommodate different air quality conditions. The linear slider 106 uses a lead screw or ball screw mechanism to move the suction fan 105 up or down, maintaining a precise height above the ground, which ensures that the suction fan 105 extracts air from the surrounding environment efficiently, regardless of the air quality conditions.

[0041] Once the suction fan 105 is activated, the fan begins to extract air from the surrounding environment, which is then directed towards an intake pathway within the housing. The intake pathway is designed to optimize airflow, minimizing turbulence and pressure drops. The microcontroller continues to monitor the air quality parameters in real-time, adjusting the suction fan’s 105 speed and the linear slider's 106 position as needed to maintain optimal air filtration.

[0042] In continuation, multiple filtration sections 107 are installed within the housing 101 and is deployed via an Archimedes lifting arrangement 201, which is actuated by the microcontroller. The Archimedes lifting arrangement 201 allows the filtration sections 107 to be precisely positioned in proximity to the intake pathway, ensuring optimal airflow and filtration efficiency.

[0043] The Archimedes lifting arrangement 201 is initiated when the microcontroller sends a signal to the electric motor, which is connected to the screw shaft. This signal triggers the rotation of the screw shaft, which is the first step in the lifting and positioning process. As the screw shaft rotates, the nut, which is threaded onto the screw shaft, begins to move along the helical thread. This movement converts the rotational motion of the screw shaft into linear motion, which is then transmitted to the lifting arm. The lifting arm is connected to the nut, and as the nut moves, the lifting arm moves upward or downward, depending on the direction of rotation.

[0044] The filtration section 107 is attached to the end of the lifting arm, and as the arm moves, the filtration section 107 is lifted or lowered into position. The Archimedes lifting arrangement 201 allows for precise positioning of the filtration section, ensuring optimal alignment with the intake pathway. This precise control is critical, as it ensures that the air is properly filtered and purified before being released back into the environment. Once the filtration section 107 is in position, the microcontroller sends a signal to the electric motor to stop rotating the screw shaft. The nut and lifting arm come to rest, holding the filtration section 107 in place.

[0045] Each filtration section 107 is equipped with an electronic valve 109 that regulates airflow, opening to permit the extracted air to enter the deployed section. The electronic valve 109 ensures precise control over airflow, allowing the filtration section 107 to operate efficiently and effectively. Once the air enters the filtration section, it passes through a series of filters, including an ionizer, an activated carbon filter, and a membrane filtration unit.

[0046] The ionizer responsible for removing particulate matter from the air. The ionizer works by emitting negative ions that attract and trap positively charged particles, such as dust, pollen, and other pollutants. This process is known as electrostatic precipitation, and it is highly effective in removing particulate matter from the air. The activated carbon filter is responsible for removing volatile gases and organic compounds from the air. The activated carbon filter works by adsorbing these pollutants onto its surface, allowing clean air to pass through. The activated carbon filter is highly effective in removing a wide range of pollutants, including VOCs, NO2, and O3.

[0047] The membrane filtration unit is responsible for purifying CO2 and carbon monoxide from the air. The membrane filtration unit uses a semipermeable membrane to separate the CO2 and carbon monoxide molecules from the rest of the air. This process is known as gas separation, and it is highly effective in removing CO2 and carbon monoxide from the air. Once the air has passed through the filtration section, it is expelled via an exhaust fan 202 integrated within each filtration section. The exhaust fan 202 is designed to provide a high volume of airflow, ensuring that the purified air is quickly and efficiently distributed throughout the surrounding environment. The result is a safe and breathable environment for workers, safeguarding their health and safety.

[0048] A holographic projection unit 108 integrated into the housing 101 that serves as a dynamic display interface, providing real-time air quality index visuals and assistive notifications to workers within the environment such as flashing colored lights (i.e. red, orange, and green lights) dynamically depending on the air quality index. The holographic projection unit 108 consists of several key components, including a laser diode, a spatial light modulator, a holographic screen, and a controller.

[0049] The laser diode is the light source that generates the holographic image. It emits a coherent beam of light that is then modulated by the spatial light modulator. The spatial light modulator is a critical component that encodes the holographic image onto the laser beam and uses a micro-electromechanical systems (MEMS) technology to create a high-resolution image that is then projected onto the holographic screen.

[0050] The holographic screen is a specialized display surface that is designed to reconstruct the holographic image by using a combination of nanostructures and metamaterials to create a high-resolution, three-dimensional image that appears to float in mid-air. The holographic screen is designed to provide a wide viewing angle, allowing workers to view the air quality index visuals and notifications from various positions within the environment.

[0051] A user interface is installed on a computing unit, such as a tablet or laptop, which is wirelessly linked to the system via a communication module, which allows workers to access the system from anywhere within the facility, providing a convenient and flexible means of interaction to provide data regarding medical and personal details, to create a profile for the worker. The communication module is responsible for establishing and maintaining a wireless connection between the user interface and the system. The communication module uses Wi-Fi or Bluetooth, to transmit data between the user interface and the microcontroller. The communication module is designed to provide a reliable and secure connection, ensuring that data is transmitted accurately and efficiently.

[0052] The profile is stored on a database linked to the system for providing a centralized repository of worker information. The user interface guides workers through a series of prompts and questions, collecting relevant information and updating the database in real-time. The user interface also enables workers to request air filtration operations, allowing them to take proactive steps to ensure a healthy and safe working environment. The workers select from various options, such as requesting increased airflow or activating specific filtration modes. In emergency situations, the user interface provides a critical lifeline, enabling workers to connect with medical personnel and receive prompt assistance.

[0053] The housing 101 features an artificial intelligence-based imaging unit 110 installed on the housing 101 to capture multiple images in proximity of the housing 101 to monitor facial expressions of the workers by using facial recognition to authenticate the workers and associates specific medical prescriptions with individual profiles to ensure customized care during medical emergencies.

[0054] The artificial intelligence based imaging unit 110 is constructed with a camera lens and a processor, wherein the camera lens is adapted to capture a series of images of the surrounding present in proximity to the housing. The processor carries out a sequence of image processing operations including pre-processing, feature extraction, and classification by utilizing machine learning protocols. The image captured by the imaging unit 110 is real-time images of the housing’s 101 surrounding. The artificial intelligence based imaging unit 110 transmits the captured image signal in the form of digital bits to the microcontroller. The microcontroller upon receiving the image signals compares the received image signal with the pre-fed data stored in a database and constantly analyzing the worker's facial expressions to determine their emotional state, such as happiness, sadness, or fear.

[0055] Once the imaging unit 110 detects a worker's facial expression, it sends a signal to the microcontroller, which then actuates a speaker 111 installed on the housing 101 to provide audible guidance to the worker, prompting them to position their hand on a band 112 configured with the housing. The speaker 111 is capable of producing clear and natural sound and is capable of adjusting its volume based on ambient noise levels. The speaker 111 consists of audio information, which is in the form of recorded voice, synthesized voice, or other sounds, generated or stored as digital data. This data is often in the form of an audio file. The digital audio data is sent to a digital-to-analog converter (DAC). The DAC converts the digital data into analog electrical signals. The analog signal is often weak and needs to be amplified. An amplifier boosts the strength to a level so that the speaker 111 drives it effectively. The amplified audio signal is then sent to the speaker 111. The core of the speaker 111 is an electromagnet attached to a flexible cone. These sound waves travel through the air as pressure waves and are picked by the user’s ear to position their hand on the band 112.

[0056] The band 112 is equipped with a health monitoring module 113, which is responsible for detecting vital health parameters of the worker. The module consists of a Fiber Bragg Grating (FBG) sensor. The FBG sensor is a type of optical fiber sensor that uses the principle of Bragg gratings to measure changes in the optical fiber's refractive index. The FBG sensor is designed to detect various vital health parameters, such as heart rate, blood oxygen level, and blood pressure. The sensor uses a laser diode to emit a narrowband light signal, which is then transmitted through the optical fiber. The light signal is reflected back to the sensor by the Bragg gratings, which are inscribed into the optical fiber. The reflected light signal is then analyzed by the sensor to determine the changes in the optical fiber's refractive index, which correspond to the changes in the worker's vital health parameters.

[0057] The FBG sensor is connected to the microcontroller, which processes the data from the sensor and generates a wireless notification to a wirelessly linked computing unit accessible by medical personnel. The microcontroller uses machine learning protocols to analyze the data from the FBG sensor and determine if the worker's vital health parameters are within normal ranges. If the parameters exceed predetermined thresholds, the microcontroller generates a wireless notification to alert medical personnel. The wireless notification is transmitted to a computing unit, such as a tablet or smartphone, which is wirelessly linked to the microcontroller. The computing unit is accessible by medical personnel, who receives the notification and take immediate action to provide emergency aid to the worker.

[0058] A chamber 114 is incorporated within the housing 101, designed to store multiple respiratory gears and is accessed by a robotic arm 115, which is installed on the housing. The chamber 114 is designed to store various types of respiratory gears, such as oxygen masks, respirators, and ventilators. Based on the detected health parameters, the microcontroller actuates the robotic arm 115 to grip the most suitable gear for the worker.

[0059] The arm is equipped with a gripper mechanism that can grasp and manipulate various types of gears. When the microcontroller detects that a worker requires oxygen, it sends a signal to the robotic arm 115 to retrieve a suitable respiratory gear from the chamber 114. The arm then moves to the chamber 114, opens the door, and retrieves the gear using its gripper mechanism. The arm then positions the gear in proximity to the worker, allowing them to access it easily.

[0060] After authenticating the user (through imaging unit 110) and analyzing their medical prescription or data (primarily for asthma patients), the machine learning protocols releases an ideal amount of medication via a suction unit and pipe to the soft mist inhaler, allowing the user to consume the puff and experience relief.

[0061] A battery is associated with the system to supply power to electrically powered components which are employed herein. The battery is comprised of a pair of electrode named as a cathode and an anode. The battery uses a chemical reaction of oxidation/reduction to do work on charge and produce a voltage between their anode and cathode and thus produces electrical energy that is used to do work in the system.

[0062] The present invention works best in the following manner, where the process begins when the housing 101 navigating the industrial plant using motorized wheels 102, guided by the indoor positioning module coupled with the GPS module, which allows the system to move autonomously around the plant, detecting areas with poor air quality. As it moves, the inspection module 103, attached to the extendable pole 104, analyses the air quality in different areas, dynamically adjusting to environmental conditions. The inspection module 103, equipped with various sensors (NDIR, laser PM, gas, temperature, and humidity), assesses multiple air quality parameters. These parameters are then processed by the microcontroller, which evaluates the necessity for air filtration. If filtration is required, the microcontroller activates the suction fan 105, which extracts air from the surrounding environment. The extracted air is then directed towards the intake pathway within the housing 101 for further processing. The air is then purified by the filtration sections 107, which include the ionizer, activated carbon filter, and membrane filtration unit. These filters work together to remove pollutants, particulate matter, and gases from the air. The purified air is then expelled through the exhaust fan 202 integrated within each filtration section, creating the safe and breathable environment for workers. Simultaneously, the holographic projection unit 108 displays real-time air quality index visuals and assistive notifications for workers, which provides them with ongoing awareness of the air quality, enabling them to take necessary precautions. The artificial intelligence-based imaging unit 110, which detects facial expressions and health parameters of workers, allowing for prompt medical attention in emergency situations. In emergency situations, the system's health monitoring module 113, equipped with the FBG sensor, tracks vital health parameters of workers. If abnormal parameters are detected, the microcontroller generates the wireless notification to medical personnel, who provides emergency aid. Additionally, the robotic arm 115 retrieves and positions respiratory gears, providing workers with immediate access to oxygen supply, thereby detects and responds to air quality issues, ensuring the well-being of workers.

[0063] Although the field of the invention has been described herein with limited reference to specific embodiments, this description is not meant to be construed in a limiting sense. Various modifications of the disclosed embodiments, as well as alternate embodiments of the invention, will become apparent to persons skilled in the art upon reference to the description of the invention. , Claims:1) An automated air-quality management system for industries, comprising:

i) a plurality of housings 101 configured to be positioned on a ground surface of a thermal plant, wherein a plurality of motorized wheels 102 arranged underneath said housing 101 for navigating said housing 101 around said plant, for enabling an inspection module 103 installed on said housing 101 to detect air quality parameters within environment of said plant;
ii) a microcontroller associated with said system, tasked with processing said detecting air quality parameters, to evaluate necessity for air filtration, wherein a suction fan 105 is installed on said housing 101, configured in conjunction with a linear slider 106 for maintaining height of said fan, to ensure optimal extraction of air from said surrounding environment, which is then directed towards an intake pathway with said housing 101 for further processing;
iii) a plurality of filtration sections 107 installed within said housing 101, each via a Archimedes lifting arrangement 201 that are actuated by said microcontroller to deploy a suitable filtration section 107 in proximity to said intake pathway, wherein each said filtration section 107 is equipped with an electronic valve 109 that regulates airflow, opening to permit said extracted air to enter said deployed section, followed by activation of said sections, to remove pollutants and impurities, and expel purified air via an exhaust fan 202 integrated within each filtration section, ensuring a safe breathable environment for said workers, thereby safeguarding health and safety of said workers;
iv) a holographic projection unit 108 arranged on said housing 101, for projecting a real-time air quality index visuals and assistive notifications for said workers, such as flashing colored lights indicating air quality status, in view of providing said worker with ongoing awareness and enabling said worker to monitor said air quality in real time as said worker navigate within said environment;
v) an user interface installed in a computing unit wirelessly linked with said system, via a communication module, for enabling said worker to provide data regarding medical and personal details, to create a profile for said worker, that is updated on a database linked with said system, to create profile for each of said worker, that has provided said medical details, wherein said interface allows said worker to request air filtration operation, and to connect to a medical personnel in emergencies;
vi) an artificial intelligence-based imaging unit 110 installed on said housing 101 and paired with a processor for capturing and processing multiple images in vicinity of said housing 101, respectively to detect facial expressions of said workers, in view of detecting said emergency, based on which said microcontroller actuates a speaker 111 installed on said housing 101 to provide audible guidance to said worker for prompting said user to position said user’s hand on a band 112 configured with said housing;
vii) a health monitoring module 113 consisting a FBG (Fiber Bragg Grating) sensor, incorporated in said band 112 that detects vital health parameters of said user, wherein in case said detected parameters, said microcontroller generates a wireless notification to a wirelessly linked computing unit accessible by said medical personnel, for allowing said personnel to arrange emergency aid for said worker; and
viii) a chamber 114 incorporated within said housing 101 for storing multiple respiratory gears, wherein based on said detected health parameters, said microcontroller actuates a robotic arm 115 installed on said housing 101 to grab a suitable gear for positioning in proximity to said worker, thus allowing said worker to access said gear, to provide an appropriate amount of oxygen to said worker, for maintaining health of said worker.

2) The system as claimed in claim 1, wherein said housing’s 101 movement is guided utilizing an indoor positioning module coupled with a GPS (Global Positioning System) module, allowing said housing 101 to navigate said plant autonomously, based on air quality requirements.

3) The system as claimed in claim 1, wherein said inspection module 103 is attached with an extendable pole 104 that extends/retracts for allowing said inspection module 103 to analyze air quality in different areas, dynamically adjusting based on said environmental conditions.

4) The system as claimed in claim 1, wherein said inspection module 103 consists of a NDIR (Non-dispersive infrared) sensor, a laser PM (Particulate Matter) sensor, a gas sensor, a temperature and humidity sensor, for assessing said air quality parameters of said surrounding air.

5) The system as claimed in claim 1, wherein said filtrations section 107 includes an ionizer, an activated carbon filter, and a membrane filtration unit, which purifies said air by reducing particulate matter from said air, to remove volatile gases and organic compounds, and to purify CO2 and carbon monoxide from said air.

6) The system as claimed in claim 1, wherein said imaging unit 110 uses facial recognition to authenticate said workers and associates specific medical prescriptions with individual profiles to ensure customized care during medical emergencies.

7) The system as claimed in claim 1, wherein a battery is configured with said system for providing a continuous power supply to electronically powered components associated with said system.