DESC:TECHNICAL FIELD
[0001] The present disclosure relates to the field of environmental monitoring instrumentation. More particularly, the present disclosure relates to a Short Optical Iterative Resonator (SOIR) for real-time ambient benzene monitoring and method thereof.

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] Benzene is a volatile organic compound (VOC), widely recognized as a significant air pollutant and established carcinogen, primarily originating from petrochemical and industrial sources. This toxic compound is commonly found in petroleum-derived products, including gasoline (petrol) and various fossil fuels. Its release into the atmosphere occurs during the production, storage, and transportation of these substances, as well as through combustion processes such as vehicle exhaust and industrial emissions. Due to its harmful effects on human health and the environment, benzene emissions are subject to stringent regulations and monitoring requirements by environmental agencies worldwide. Effective control measures and in-situ, real-time monitoring technologies are essential to mitigate benzene exposure risks and ensure compliance with air quality standards, safeguarding public health and environmental well-being.
[0004] Existing methods for benzene or other concentrations monitoring encompass various technologies, each with its own limitations and drawbacks. Laboratory measurement techniques, such as Incoherent Broadband Cavity Enhanced Absorption Spectroscopy (IBBCEAS), offer high sensitivity and accuracy but are primarily suited for controlled laboratory environments due to their complexity and bulkiness, rendering them unsuitable for in-situ measurements in the field.
[0005] Conventional PID (Photoionization Detector) sensors, although commonly used for volatile organic compound (VOC) detection, require frequent calibration and maintenance, making them impractical for continuous in-situ monitoring applications. Gas chromatography monitors, while highly accurate, are prohibitively expensive, is not a field instrument and often require skilled operators for maintenance and operation.
[0006] Conventional metal oxide sensors, although widely used for gas sensing applications, suffer from a short lifespan, poor selectivity and reduced reliability, particularly in harsh environmental conditions. Additionally, other optical sensors available in the market may lack the sensitivity required for detecting trace concentrations of benzene and can be costly to deploy and maintain.
[0007] These existing technologies present significant drawbacks, including limited suitability for in-situ monitoring, high maintenance requirements, prohibitive costs, and reliability issues.
[0008] To address these limitations, the present invention provides a novel device and method that overcome the shortcomings of the prior art.

OBJECTS OF THE PRESENT DISCLOSURE
[0009] Some of the objects of the present disclosure, which at least one embodiment herein satisfies are as listed herein below.
[0010] It is a primary object of the present disclosure to develop a system capable of continuous, in-situ benzene detection with high temporal and spatial resolution.
[0011] It is another object of the present disclosure to enhance benzene detection to Parts Per Billion (PPB) levels using a short optical resonator-based UV absorption technique.
[0012] It is yet another object of the present disclosure to create a rugged, standalone field instrument for measuring ambient benzene concentrations that is suitable for industrial and environmental applications.
[0013] It is yet another object of the present disclosure to enable cloud-based data storage, remote access, and real-time monitoring for industrial safety and compliance.
[0014] It is still another object of the present disclosure to minimize instrumental drift and reduce the need for frequent manual calibration or maintenance.

SUMMARY
[0015] This section is provided to introduce certain objects and aspects of the present disclosure in a simplified form that are further described below in the detailed description. This summary is not intended to identify the key features or the scope of the claimed subject matter.
[0016] The present disclosure relates to the field of environmental monitoring instrumentation. More particularly, the present disclosure relates to a short optical iterative resonator for real-time ambient benzene monitoring and method thereof.
[0017] In an aspect of the present disclosure, a short optical iterative resonator for real-time ambient benzene monitoring is disclosed. The SOIR includes a main frame. The main frame includes an Ultraviolet (UV) light source configured to emit 255nm UV light to enable benzene detection by facilitating gas-phase light-matter interaction. The main frame further includes a short optical resonator-based sampling chamber, connected to the UV light source, and configured to allow passage of the emitted UV light for enabling interaction of the UV light with airborne benzene for absorption measurement. The main frame further includes a Charge Coupled Device (CCD) detector, connected to the short optical resonator-based sampling chamber. The CCD detector is configured to capture the transmitted UV light after interaction of the UV light with benzene for spectral analysis. The main frame further includes a processor, operatively coupled with the CCD detector and the short optical resonator-based sampling chamber. The processor is configured to apply a reference-based absorbance correction algorithm to minimize noise and intensity fluctuations. The processor is further configured to compute benzene concentration data using a differential recursive algorithm. The processor is further configured to transmit the computed benzene concentration data to a remote cloud-based server for monitoring and analysis. The short optical resonator-based sampling chamber is configured to enable real-time, in-situ, non-invasive, and highly sensitive benzene detection at parts per billion (ppb) levels.
[0018] In an embodiment, the main frame comprises a kinematic mount configured to provide mechanical stability by securely holding the short optical resonator-based sampling chamber and ensuring precise optical alignment between the UV light source and the CCD detector for accurate benzene detection.
[0019] In an embodiment, the main frame comprises a kinematic mount configured to seal the short optical resonator-based sampling chamber with zero-optical-loss windows.
[0020] In an embodiment, the main frame comprises a digital flow regulator configured to maintain stable internal pressure for accurate measurements.
[0021] In an embodiment, the UV light source is configured as a single or array-based broadband source to ensure uniform illumination and minimize spectral distortions.
[0022] In an embodiment, the short optical resonator-based sampling chamber is configured to maximize an effective optical path length for improving benzene detection sensitivity to Parts Per Billion (PPB) levels.
[0023] In an embodiment, the CCD detector is configured to record high-resolution spectral data across at least 1044 pixels, enabling fine-tuned benzene quantification.
[0024] In an embodiment, the processor is configured to support IoT-based remote access, allowing real-time monitoring and re-analysis of recorded benzene concentrations.
[0025] In an aspect of the present disclosure, a method for real-time ambient benzene monitoring is disclosed. The method begins with applying, by the processor, a reference-based absorbance correction algorithm to minimize noise and intensity fluctuations. The method proceeds further with computing, by the processor, benzene concentration data using a differential recursive algorithm. The method ends with transmitting, by the processor, the computed benzene concentration data to the remote cloud-based server for monitoring and analysis.

BRIEF DESCRIPTION OF DRAWINGS
[0026] 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.
[0027] In the figures, similar components, and/or features may have the same reference label. Further, various components of the same type may be distinguished by following the reference label with a second label that distinguishes among the similar components. If only the first reference label is used in the specification, the description applies to any one of the similar components having the same first reference label irrespective of the second reference label.
[0028] FIG. 1 illustrates an exemplary representation of the proposed short optical iterative resonator for real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.
[0029] FIG. 2 illustrates an exemplary diagram representation of a mechanical stability of the proposed short optical iterative resonator for real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.
[0030] FIG. 3 illustrates an exemplary flow diagram representation of the proposed method of real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.
[0031] FIG. 4 illustrates an exemplary block diagram representation of the proposed short optical iterative resonator for real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.

DETAILED DESCRIPTION
[0032] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments. On the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit, and scope of the present disclosure as defined by the appended claims.
[0033] FIG. 1 illustrates an exemplary representation of the proposed short optical iterative resonator for real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.
[0034] Illustrated in Fig. 1 is a representation of the Short Optical Iterative Resonator (SOIR) 100 for real-time ambient benzene monitoring.
[0035] In an embodiment, the SOIR 100 includes a main frame 102. The main frame 102 is provided a broad ultraviolet (UV) light source 104. The UV light source 104 emits continuous-wave broadband deep UV light, specifically at 255 nm, which is ideal for benzene absorption.
[0036] In an embodiment, the emitted light first passes through a beam steering optics module 106, which ensures proper alignment and directs the beam into a sampling chamber 108. The sampling chamber 108 is a short optical resonator-based cell, where airborne benzene interacts with the UV light, causing selective absorption at specific wavelengths. The sampling chamber 108 includes an inlet valve 108-2 at the top for controlled gas flow and an outlet valve 108-4 at the bottom for evacuation of sampled air.
[0037] In an embodiment, the main frame 102 further includes a beam steering optics module 110 after the sampling chamber 108 that helps in precisely guiding the light toward a Charge Coupled Device (CCD) detector 112. The CCD detector 112 captures the transmitted light and records absorption spectra, which carries critical information about benzene concentration. The absorption spectrum is processed using a nonlinear recursive matrix-based algorithm, which corrects intensity fluctuations and derives an accurate benzene concentration. The short optical resonator within the sampling chamber 108 enhances the effective optical path length, improving detection sensitivity to ppb levels. The beam steering optics 106, 110 on both ends ensures stable optical alignment, reducing signal loss. Further, the main frame 102 includes a kinematic mount configured to provide mechanical stability by securely holding the short optical resonator-based sampling chamber (108) and ensuring precise optical alignment between the UV light source 104) and the CCD detector (112) for accurate benzene detection.
[0038] In an embodiment, the sampling chamber 108 is mechanically stabilized to prevent misalignment caused by pressure changes in the airflow. The CCD detector 112 converts the spectral data into an electrical signal, which is then sent to a processor that may be a single-board computer (SBC) for real-time processing. The SBC applies a reference gas correction method, ensuring accurate and selective benzene detection. The processed data is displayed on an integrated monitor and is also transmitted to a cloud-based platform for remote access via IoT connectivity. Absorbance is calculated for the reference gas and this reference gas absorbance spectra is scaled with target gas spectra to evaluate the accurate concentration of target gas. This method will minimize intensity fluctuations and other noise arising from the source and detector electronics. Reference gas absorbance (A1(?)) is calculated using the SOIR algorithm:
[0039] A1(?)=K1(?)X(?) ……………… (1)
[0040] Where X1(?) contains the calibrated effective resonator reflectivity and K1(?) contains the intensity ratio with and without reference gas.
[0041] After this the instrument is ready to measure the target species and the absorbance for target species can be written as in equation 2.
[0042] A2(?)=K2(?)X(?) ………………. (2)
[0043] Absorption is a function of absorption cross section of the gas and total number density of the gas and the length of the sample cell.
[0044] Using the nonlinear recursive matrix-based differential algorithm the number density in ppm-meter is calculated after minimizing the residuals. This can be converted to ppmv or ppbv using the conversion factors. Since we are dealing with a broadband spectral data, and it is recorded with CCD detector of 1044 pixels or even more, A2(?) will be a polynomial (eg: a0+a1?+a2?2+ns) with quadratic term which includes the term for light intensity fluctuations and term for broadband structureless extinction for other light intensity losses. The mixing ratio thus retrieved is displayed on the monitor attached with the SOIR 100 and at the same time is cloud connected and can be obtained in any gadgets like mobile phone or laptop, anywhere in the world.
[0045] In an embodiment, the SOIR 100 is integrated with a processor (not shown in figure) over a network. The processor is responsible for real-time data acquisition, signal processing, and benzene concentration analysis. The processor receives spectral data from the CCD detector 112, applies noise reduction techniques, and extracts relevant absorption features for accurate detection. The processor runs a nonlinear recursive matrix-based differential algorithm, which minimizes intensity fluctuations and compensates for broadband interferences. Further, the processor performs Fast Fourier transform (FFT) filtering to enhance signal clarity and improve detection sensitivity to PPB levels. The processor also manages auto-calibration routines, ensuring stable performance without frequent manual adjustments. Further, the processor controls the digital flow regulator 202, maintaining optimal gas flow and pressure conditions inside the sampling chamber. Further, the processor processes and formats the data for real-time display and wireless transmission to the cloud database. The processor supports IoT functionality, enabling remote access, automated alerts, and multi-device synchronization for large-scale industrial monitoring. Further, the processor also logs system diagnostics, power consumption, and potential hardware issues for predictive maintenance. Furthermore, the processor is the core computational unit that ensures precise, efficient, and reliable benzene monitoring in the SOIR 100.
[0046] In an embodiment, the SOIR 100 operates as a standalone field instrument, requiring minimal maintenance. The SOIR 100 supports multiple power modes, including mains power, battery, and solar energy, making the SOIR 100 suitable for industrial deployment. The entire assembly is housed in a rugged, field-deployable enclosure, ensuring stable operation even in harsh environments. The optical configuration of the SOIR 100 eliminates the need for frequent manual calibration, making it more efficient than conventional benzene monitoring devices. The ability to establish a network of sensors along industrial perimeters makes the SOIR an ideal solution for real-time environmental monitoring. The compact yet powerful design ensures that benzene pollution sources can be pinpointed with high spatial and temporal resolution. The combination of optical resonator technology, advanced signal processing, and IoT connectivity makes this system a breakthrough in industrial air quality monitoring.
[0047] FIG. 2 illustrates an exemplary diagram representation of a mechanical stability of the proposed short optical iterative resonator for real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.
[0048] Illustrated in Fig. 2 is a representation 200 of the mechanical stability of the SOIR 100.
[0049] In an embodiment, the sampling chamber 108 is a sealed optical cell where airborne benzene interacts with UV light to enable absorption-based detection. The sampling chamber 108 has the inlet valve 108-2 at the top through which the gas sample enters and the outlet valve 108-4 at the bottom for controlled evacuation of the sample.
[0050] In an embodiment, a flow regulator 202 is placed in the inlet path to maintain stable gas flow, preventing optical instability caused by fluctuations. The optical windows 204 at both ends are static mounts, ensuring a sealed, airtight environment while allowing UV light to pass through. Inside the sampling chamber 108, there are resonator elements (RE) 206 positioned at both ends, thereby enhancing benzene detection sensitivity to ppb levels.
[0051] In an embodiment, the REs 206 are housed within mirror mounts, with one side being a fixed static mount 208 while the other side is a dynamic mount 210 to allow for fine optical adjustments. The static mirror mount 208 ensures that the optical elements remain rigidly positioned, preventing misalignment. The dynamic mirror mounts 210 allows for precise tuning of the SOIR 100, ensuring maximum signal stability. The optical alignment is crucial because even small misalignments could reduce the sensitivity of the SOIR 100.
[0052] In an embodiment, the optical windows enable the sampling chamber 108 is to make it air-tight. The mirror mounts 208, 210 are tightened securely to avoid pressure-induced mechanical shifts.
[0053] In an embodiment, the transmitted light exits the sampling chamber 108 and is directed toward the CCD detector 112 for spectral detection and analysis. The design of the sampling chamber 108 minimizes environmental disturbances, ensuring stable optical measurements.
[0054] In an embodiment, by eliminating pressure-induced misalignments, the SOIR 100 maintains long-term reliability in field conditions. The integration of a kinematic mount and optical sealing makes the SOIR 100 highly durable and portable. The entire system is optimized to function as a rugged, field-ready benzene monitor that provides highly stable, real-time measurements. This approach ensures that the SOIR 100 can operate efficiently in industrial environments, making the SOIR 100 a breakthrough in airborne benzene detection technology.
[0055] In an embodiment, the transmitted light is then captured by the CCD detector 112, which records the absorption spectra for further analysis. The processor processes the spectral data using a nonlinear recursive matrix-based differential algorithm, ensuring accurate concentration calculations. The processor applies FFT filtering techniques to enhance signal clarity and minimize noise. The SOIR 100 includes the kinematic mount assembly that isolates the optical resonator from mechanical disturbances, preventing misalignment due to gas flow variations. The sampling chamber 108 is sealed with the zero-optical-loss windows 204, ensuring a completely airtight environment for accurate measurements. The digital flow regulator 202 stabilizes internal pressure, preventing optical instability caused by sudden gas flow changes. The SOIR 100 operates as a standalone, portable field unit, supporting multiple power sources, including mains electricity, battery, and solar power.
[0056] In an embodiment, the SOIR 100 features auto-calibration, reducing maintenance needs and ensuring long-term operational stability. The display unit of the SOIR 100 provides real-time benzene concentration data, system diagnostics, and calibration status, enhancing usability. The SOIR 100 is IoT-enabled, allowing for cloud-based data storage, remote access, and real-time monitoring from any location. A secure database logs historical data, enabling trend analysis and regulatory compliance. The SOIR 100 allows for multi-device integration, making the SOIR 100 ideal for fence-line monitoring around petrochemical plants. The high optical path length of the SOIR 100 enhances detection sensitivity, reaching ppb-level benzene concentrations. The rugged construction and mechanical stability make the SOIR 100 suitable for harsh industrial conditions.
[0057] In an embodiment, the SOIR 100 ensures continuous, real-time monitoring to detect benzene leaks and prevent hazardous exposure. The SOIR 100 provides customizable alerts to notify operators when benzene levels exceed safety thresholds. The SOIR 100 is a breakthrough in environmental monitoring, offering unparalleled accuracy, portability, and reliability in benzene detection.
[0058] FIG. 3 illustrates an exemplary flow diagram representation of the proposed method of real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.
[0059] Illustrated in Fig. 3 is a flowchart representation of the method 300 of real-time ambient benzene monitoring by the SOIR 100. The method 300 begins with applying 302, by a processor, a reference-based absorbance correction algorithm to minimize noise and intensity fluctuations. The method 300 proceeds further with computing 304, by the processor, benzene concentration data using a differential recursive algorithm. The method 300 ends with transmitting 306, by the processor, the computed benzene concentration data to a remote cloud-based server for monitoring and analysis.
[0060] In an embodiment, the method 300 of real-time ambient benzene monitoring by the SOIR 100 begins with the activation of the continuous-wave broadband deep UV light source 104, which emits 255 nm UV light, specifically targeting benzene absorption. This UV light is directed through the beam steering optics module 106, 110 to ensure precise alignment before entering the short optical resonator-based sampling chamber 108. The sampling chamber 108, which is airtight and sealed with the zero-optical-loss windows 202, allows the UV light to interact with airborne benzene molecules. Benzene selectively absorbs specific wavelengths, altering the intensity of the transmitted light.
[0061] In an embodiment, the CCD detector 112 captures the absorption spectra, recording changes in light intensity caused by benzene molecules. The spectral data is then processed by the processor, which applies a nonlinear recursive matrix-based differential algorithm to calculate benzene concentration accurately. To enhance precision, the SOIR 100 employs FFT filtering techniques, which eliminate noise and compensate for background interferences.
[0062] In an embodiment, the digital flow regulator 202 ensures a stable gas flow inside the chamber, preventing pressure-induced optical distortions. The processed data is displayed in real-time on the display unit, showing both instantaneous and averaged benzene concentration levels. The SOIR 100 also logs data into a secure database, allowing for long-term storage and trend analysis. If benzene levels exceed predefined safety thresholds, automated alerts and notifications are triggered.
[0063] In an embodiment, the SOIR 100 supports IoT connectivity, enabling data transmission to the cloud-based server for remote access via smartphones, tablets, or computers. The real-time monitoring method allows multiple SOIR devices to be networked together, forming a spatially distributed benzene detection system across industrial sites.
[0064] In an embodiment, the SOIR 100 is configured for continuous, autonomous operation, requiring minimal calibration and maintenance due to its auto-calibration feature. The SOIR 100 is powered through multiple sources, including mains electricity, battery, or solar power, making the SOIR 100 highly versatile for field deployment. The high optical path length configuration of the SOIR 100 enhances benzene detection sensitivity to ppb levels, ensuring precise monitoring in ambient air. The combination of resonator-based optical technology and real-time data processing makes the SOIR 100 more effective than conventional benzene monitoring systems.
[0065] In an embodiment, the mechanically stable kinematic mount assembly of the SOIR 100 isolates the optical resonator from vibrations and flow disturbances. The SOIR 100 operates efficiently in harsh industrial conditions, providing accurate, continuous monitoring of benzene emissions. This real-time method enables industries to comply with environmental regulations, ensuring safer air quality for workers and surrounding communities.
[0066] FIG. 4 illustrates an exemplary block diagram representation of the proposed short optical iterative resonator for real-time ambient benzene monitoring, in accordance with an embodiment of the present disclosure.
[0067] Illustrated in Fig. 4 is a block diagram representation 400 of the SOIR 100. The SOIR 100 is integrated with the processor 402. The processor 402 is operatively coupled with the sampling chamber 108, the CCD detector 112, the display unit 404, and the database 406.
[0068] In an embodiment, the display unit 404 provides a real-time visual interface for users to monitor benzene concentration levels and system status. The display unit 404 presents instantaneous and averaged benzene readings, ensuring quick assessment of air quality conditions. The display unit 404 shows spectral absorption graphs, allowing operators to analyse raw data for verification. The display unit 404 also provides calibration status, system diagnostics, and environmental parameters, such as temperature and pressure inside the sampling chamber. The display unit 404 features alert notifications, warning users when benzene levels exceed safety thresholds. Further, the display unit 404 enables user interaction, allowing adjustments to operational settings, data logging preferences, and connectivity options. The display unit 404 supports multi-mode visualization, including numerical values, trend graphs, and status indicators for enhanced usability. The display unit 404 is designed to be clear and readable in industrial environments, with a high-contrast screen for outdoor and low-light conditions. The display unit 404 integrates with the Internet of Things (IoT) system, ensuring that on-device data matches remote cloud-based monitoring. Further, the display unit 404 enhances usability, facilitates real-time decision-making, and ensures seamless operation of the SOIR 100.
[0069] In an embodiment, the database 406 plays a crucial role in storing, managing, and analysing real-time benzene concentration data collected from the SOIR 100. The database 406 records spectral absorption data, timestamps, environmental conditions, and calibration logs to ensure accurate and traceable monitoring. The database 406 enables long-term data storage, allowing users to track benzene levels over time and identify trends or pollution sources. Further, the database 406 supports cloud connectivity, ensuring remote access to real-time and historical data from smartphones, tablets, or computers. The SOIR 100 facilitates automated data re-analysis, where stored spectral data can be reprocessed using advanced algorithms to improve detection accuracy, thereby enabling platform programming. Further, the database 406 also records of sensor performance, power status, and potential system errors for predictive maintenance. The database 406 is secured with encryption protocols, ensuring safe and tamper-proof storage of critical air quality data. Further, the database 406 enables multi-device integration, allowing multiple SOIR units to sync their data into a centralized network for large-scale industrial monitoring. The SOIR 100 provides customizable alerts and notifications, informing users of threshold exceedances or potential hazards. Further, the database 406 enhances monitoring efficiency, ensures regulatory compliance, and provides valuable insights for industrial air quality management.
[0070] In an embodiment, the broad workable ranges for all parameters involved in the SOIR 100 ensure optimal benzene detection and monitoring performance. The LED intensity ranges from 200 to 1500mW, providing sufficient UV light power for accurate absorption measurements. The wavelength range spans from 200 to 300nm, allowing precise targeting of benzene’s absorption spectrum, particularly around 255nm. These parameter ranges allow the SOIR 100 to be customized for different environmental conditions, ensuring reliable, real-time benzene monitoring in industrial and field applications.
[0071] A use case of the SOIR 100 is described herein. A petroleum refinery company deploys the SOIR 100 along its fence line to monitor real-time benzene emissions and ensure compliance with environmental regulations. The company operates multiple SOIR units at strategic locations to form a networked monitoring system for detecting leaks and emission hotspots. Each SOIR 100 unit continuously samples ambient air, directing it through the short optical resonator-based sampling chamber 108, where UV light interacts with benzene molecules. The CCD detector 112 captures the absorption spectra, and the processor processes the data using a nonlinear recursive matrix-based algorithm to calculate benzene concentration. The digital flow regulator 204 stabilizes gas pressure, preventing measurement fluctuations caused by flow disturbances. If benzene levels exceed regulatory safety thresholds, the SOIR 100 triggers automated alerts to refinery operators and environmental agencies. The display unit shows real-time benzene readings, and the IoT-enabled cloud database allows remote monitoring via smartphones or computers. The safety team of the company analyses the historical data logs stored in the secure database to identify emission trends and take corrective actions. The auto-calibration feature ensures continuous, low-maintenance operation, reducing downtime and manual recalibration efforts. The SOIR 100 operates on multiple power sources, including solar panels, making it resilient during power outages. The mechanically stable kinematic mount prevents misalignment of the optical components, ensuring highly accurate readings in harsh industrial conditions. By integrating multiple SOIR units, the company creates a high-resolution spatial map of benzene concentrations, pinpointing the exact source of emissions. The collected data helps the company optimize pollution control measures, reduce environmental impact, and ensure worker safety. Regulatory authorities use the SOIR data for compliance verification, avoiding penalties and ensuring adherence to emission standards. This real-time benzene monitoring approach transforms industrial air quality management, making SOIR 100 a breakthrough solution for environmental monitoring and safety compliance.
[0072] 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 comprised 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
[0073] The SOIR 100 has a short optical resonator-based configuration that enhances the effective optical path length, enabling ppb-level benzene detection with minimal interference from other gases.
[0074] The SOIR 100 provides continuous, real-time benzene measurements without requiring sample collection, making the SOIR 100 ideal for industrial fence-line and environmental monitoring.
[0075] The auto-calibration feature of the SOIR 100 eliminates the need for frequent manual adjustments, ensuring long-term operational stability with minimal maintenance.
[0076] The SOIR 100 supports cloud-based data storage, allowing remote monitoring, real-time alerts, and historical data analysis via smartphones, tablets, or computers.
[0077] With a mechanically stable kinematic mount, multiple power options (mains, battery, solar), and airtight optical windows, SOIR 100 operates reliably in harsh industrial environments.
,CLAIMS:1. A Short Optical Iterative Resonator (SOIR) for real-time ambient benzene monitoring (100), comprising:
a main frame (102) comprising:
an Ultraviolet (UV) light source (104) configured to emit 255nm UV light to enable benzene detection by facilitating gas-phase light-matter interaction,
a short optical resonator-based sampling chamber (108), connected to the UV light source (104), and configured to allow passage of the emitted UV light for enabling interaction of the UV light with airborne benzene for absorption measurement,
a Charge Coupled SOIR (100) (CCD) detector (112), connected to the short optical resonator-based sampling chamber (108), configured to capture the transmitted UV light after interaction of the UV light with benzene for spectral analysis,
a processor, operatively coupled with the and the short optical resonator-based sampling chamber (108) and the CCD detector (112), the processor being configured to:
apply a reference-based absorbance correction algorithm to minimize noise and intensity fluctuations;
compute benzene concentration data using a differential recursive algorithm; and
transmit the computed benzene concentration data to a remote cloud-based server for monitoring and analysis,
wherein the short optical resonator-based sampling chamber (108) is configured to enable real-time, in-situ, non-invasive, and highly sensitive benzene detection at parts per billion (ppb) levels.

2. The SOIR (100) as claimed in claim 1, wherein the main frame (102) comprises a kinematic mount configured to provide mechanical stability by securely holding the short optical resonator-based sampling chamber (108) and ensuring precise optical alignment between the UV light source (104) and the CCD detector (112) for accurate benzene detection.

3. The SOIR (100) as claimed in claim 1, wherein the main frame (102) comprises a kinematic mount configured to seal the short optical resonator-based sampling chamber (108) with zero-optical-loss windows (204).

4. The SOIR (100) as claimed in claim 1, wherein the main frame (102) comprises a digital flow regulator (202) configured to maintain stable internal flow for accurate measurements.

5. The SOIR (100) as claimed in claim 1, wherein the UV light source (104) is configured as a single or array-based broadband source to ensure uniform illumination and minimize spectral distortions.

6. The SOIR (100) as claimed in claim 1, wherein the short optical resonator-based sampling chamber (108) is configured to maximize an effective optical path length for improving benzene detection sensitivity to Parts Per Billion (PPB) levels.

7. The SOIR (100) as claimed in claim 1, wherein the CCD detector (112) is configured to record high-resolution spectral data across at least 1044 pixels, enabling fine-tuned benzene quantification.

8. The SOIR (100) as claimed in claim 1, wherein the processor is configured to support IoT-based remote access, allowing real-time monitoring and re-analysis of recorded benzene concentrations.

9. A method (300) for monitoring ambient benzene concentration, the method (300) comprising steps of:
applying (302), by a processor (402), a reference-based absorbance correction algorithm to minimize noise and intensity fluctuations;
computing (304), by the processor (402), benzene concentration data using a differential recursive algorithm; and
transmitting (306), by the processor (402), the computed benzene concentration data to a remote cloud-based server for monitoring and analysis.