Acetic acid concentration detection method and system, electronic equipment and storage medium

Abstract

The invention provides an acetic acid concentration detection method and system, electronic equipment and a storage medium, and relates to the technical field of gas detection.The method comprises the steps that a to-be-detected air sample is obtained; introducing a to-be-detected air sample into a detection pool containing a metal organic framework material; irradiating the detection pool by using a light source, and exciting acetic acid molecules adsorbed on the metal organic framework material to generate a photoacoustic effect; capturing a photoacoustic signal and converting the photoacoustic signal into a target electric signal; and determining the acetic acid concentration in the to-be-detected air sample based on the target electric signal. By implementing the technical scheme provided by the invention, the effect of improving the detection sensitivity and accuracy is achieved.

Description

Technical Field

[0001] The present application relates to the field of gas detection technology, and in particular to a method, system, electronic device and storage medium for detecting acetic acid concentration. Background Art

[0002] Gas detection technology plays an important role in many fields such as industry and environmental protection, especially for the detection of harmful gases, ensuring the safety of the working environment. Among them, acetic acid is a common and potentially dangerous volatile organic compound. During its production and use, precise control of its concentration becomes particularly important. At present, the mainstream acetic acid detection methods include laboratory-level detection technologies such as gas chromatography (GC) and ion chromatography (IC). However, these detection methods are often limited by complex sample pretreatment processes and long detection cycles, and it is difficult to meet the needs of on-site real-time monitoring. In addition, their selectivity is poor, and they are easily interfered by coexisting components in complex mixtures, affecting the detection accuracy. It can be seen that the detection methods in the related art have the problem of low detection efficiency. Summary of the invention

[0003] In order to solve the above technical problems, the present application provides a method, system, electronic device and storage medium for detecting acetic acid concentration.

[0004] In a first aspect, the present application provides a method for detecting acetic acid concentration, comprising: obtaining an air sample to be detected; introducing the air sample to be detected into a detection cell containing a metal organic framework material; irradiating the detection cell with a light source to excite acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect; capturing the photoacoustic signal and converting the photoacoustic signal into a target electrical signal; and determining the acetic acid concentration in the air sample to be detected based on the target electrical signal.

[0005] By adopting the above technical scheme, the air sample to be detected is obtained, and the air sample to be detected is introduced into the detection pool containing metal organic framework materials, and the high selective adsorption capacity of metal organic framework materials for acetic acid molecules is used to improve the sensitivity and selectivity of the detection; the detection pool is irradiated with a light source to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect, and then the photoacoustic signal generated by the photoacoustic effect is captured and converted into a target electrical signal, realizing the effective conversion from physical signal to electrical signal, which is convenient for subsequent signal processing and analysis; then, the acetic acid concentration in the air sample to be detected is determined based on the target electrical signal, and the quantitative measurement of the acetic acid concentration is realized through the relationship between the electrical signal and the acetic acid concentration, thereby improving the reliability and accuracy of the detection. Metal organic framework (MOFs) material, which is a new type of porous material commonly used in gas adsorption and separation, is suitable for capturing acetic acid molecules; through light source excitation, the acetic acid molecules are converted into heat energy after absorbing light energy, and quickly release energy in the form of sound waves, namely the photoacoustic effect, which can detect trace amounts of acetic acid molecules, and this method improves the sensitivity and selectivity of the detection.

[0006] Optionally, the light source is a tunable laser for emitting laser light in a preset wavelength range to excite acetic acid molecules to produce a photoacoustic effect.

[0007] By adopting the above technical solution and using a tunable laser as a light source, the wavelength of the emitted laser can be precisely controlled to be within a preset wavelength range, thereby effectively exciting the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect. This design not only improves the sensitivity and accuracy of the detection, but also enhances the selectivity, avoids interference from other coexisting components, and further improves the performance of the detection system.

[0008] Optionally, capturing the photoacoustic signal and converting the photoacoustic signal into a target electrical signal includes: using an acoustic wave sensor to capture the photoacoustic signal and obtain an initial electrical signal; amplifying and filtering the initial electrical signal to obtain a target electrical signal.

[0009] By adopting the above technical solution, using the acoustic wave sensor to capture the photoacoustic signal and obtain the initial electrical signal, it is possible to ensure that the weak photoacoustic signal is captured, thereby improving the responsiveness of the detection system. By amplifying and filtering the initial electrical signal, noise interference can be reduced, the signal quality can be improved, and the accuracy and reliability of acetic acid concentration detection can be further improved.

[0010] Optionally, determining the acetic acid concentration in the air sample to be detected based on the target electrical signal includes: determining a target acetic acid concentration corresponding to the signal strength of the target electrical signal based on a pre-established target relationship curve, wherein the target acetic acid concentration is the acetic acid concentration in the air sample to be detected, and the target relationship curve is a curve representing the corresponding relationship between the electrical signal strength and the acetic acid concentration.

[0011] By adopting the above technical solution, the acetic acid concentration in the air sample to be tested can be quickly and accurately determined by comparing the signal strength of the target electrical signal with the pre-established target relationship curve. This method not only improves the detection accuracy, but also shortens the detection time and improves the detection efficiency. It is suitable for on-site real-time monitoring needs and can achieve accurate determination of the acetic acid concentration in the air sample to be tested.

[0012] Optionally, before determining the target acetic acid concentration corresponding to the signal intensity of the target electrical signal based on a pre-established target relationship curve, the method further includes: collecting a plurality of acetic acid gas samples with known concentrations; introducing the plurality of acetic acid gas samples with known concentrations into a detection pool, respectively, and obtaining corresponding intensity data of the plurality of electrical signals; and constructing a target relationship curve based on the concentration data of the plurality of acetic acid gas samples with known concentrations and the corresponding intensity data of the plurality of electrical signals.

[0013] By adopting the above technical solution, it is possible to ensure that an accurate target relationship curve is established in advance when detecting the concentration of acetic acid in the air. Specifically, by collecting multiple acetic acid gas samples of known concentrations and introducing them into the detection pool respectively, the corresponding electrical signal intensity data at different concentrations can be obtained. Furthermore, a target relationship curve is constructed based on these data, so that in the subsequent actual detection process, the acetic acid concentration in the air sample to be detected can be quickly and accurately determined by the intensity of the target electrical signal, thereby improving the reliability and accuracy of the detection.

[0014] Optionally, after determining the target acetic acid concentration corresponding to the signal strength of the target electrical signal based on a pre-established target relationship curve, the method further includes: comparing the target acetic acid concentration with a preset concentration threshold to obtain a comparison result; when the comparison result indicates that the target acetic acid concentration is greater than or equal to the preset concentration threshold, issuing an alarm message.

[0015] By adopting the above technical solution, the target acetic acid concentration corresponding to the signal strength of the target electrical signal is determined using the pre-established target relationship curve, ensuring the accuracy and reliability of the test results; the target acetic acid concentration is compared with the preset concentration threshold to quickly determine whether the acetic acid concentration in the current environment exceeds the safety standard; when the target acetic acid concentration is greater than or equal to the preset concentration threshold, an alarm message is immediately issued to remind relevant personnel to take corresponding measures to effectively avoid potential safety hazards. This technical solution can achieve the purpose of real-time monitoring of acetic acid concentration in the air and timely issuing of alarm messages.

[0016] Optionally, the method further includes: monitoring the temperature and humidity in the detection pool to obtain monitoring results; and adjusting the wavelength of the light source according to the monitoring results to compensate for the impact of environmental changes on the acetic acid concentration detection results.

[0017] By adopting the above technical solution, the temperature and humidity in the detection pool can be monitored in real time during the detection process, and the wavelength of the light source can be dynamically adjusted according to the monitoring results, effectively compensating for the acetic acid concentration detection error caused by environmental changes, thereby improving the accuracy and reliability of the detection.

[0018] In a second aspect of the present application, a system for detecting acetic acid concentration is also provided, which is applied to any of the aforementioned methods, and comprises: an air intake duct, a detection cell, a light source, an acoustic wave sensor and a data analysis module, wherein the air intake duct is used to introduce the air sample to be detected into the detection cell, wherein the detection cell contains a metal organic framework material; the light source is used to irradiate the detection cell to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect; the acoustic wave sensor is used to capture the photoacoustic signal and convert the photoacoustic signal into a target electrical signal; the data analysis module is used to analyze the target electrical signal to determine the acetic acid concentration in the air sample to be detected.

[0019] In a third aspect of the present application, an electronic device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the program, any of the above method steps is implemented.

[0020] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores instructions, and when the instructions are executed, any of the above method steps is performed.

[0021] In summary, one or more technical solutions provided in this application have at least the following technical effects or advantages: 1. Utilizing the highly selective adsorption ability of metal organic framework materials on acetic acid molecules and the photoacoustic effect produced by acetic acid molecules after absorbing light energy through light source excitation, trace amounts of acetic acid molecules can be detected. This method improves the sensitivity and selectivity of detection; 2. Based on the pre-established target relationship curve, the acetic acid concentration in the air sample to be tested can be determined quickly and accurately, thus improving the detection efficiency; 3. It can monitor the temperature and humidity in the detection pool in real time during the detection process, and dynamically adjust the wavelength of the light source according to the monitoring results, effectively compensate for the acetic acid concentration detection error caused by environmental changes, and improve the accuracy and reliability of the detection. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is a flow chart of a method for detecting acetic acid concentration provided in an embodiment of the present application; Figure 2 It is a framework diagram of a detection system for acetic acid concentration provided in an embodiment of the present application; Figure 3It is a schematic diagram of the structure of an electronic device disclosed in an embodiment of the present application.

[0023] Description of reference numerals: 300 - electronic device; 301 - processor; 302 - communication bus; 303 - user interface; 304 - network interface; 305 - memory. DETAILED DESCRIPTION

[0024] In order to enable technicians in this field to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0025] In the description of the embodiments of the present application, words such as "for example" or "for example" are used to indicate examples, illustrations or explanations. Any embodiment or design described as "for example" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "for example" or "for example" is intended to present related concepts in a specific way.

[0026] In the description of the embodiments of the present application, the term "plurality" means two or more. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0027] The following is combined with Figure 1-Figure 3 The embodiments of the present application are described.

[0028] The present application provides a method for detecting acetic acid concentration, referring to Figure 1 , Figure 1 : is a flow chart of a method for detecting acetic acid concentration provided in an embodiment of the present application, the method comprising: Step S101, obtaining an air sample to be detected; Step S102, introducing the air sample to be detected into a detection pool containing the metal organic framework material; Step S103, irradiating the detection cell with a light source to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect; Step S104, capturing the photoacoustic signal and converting the photoacoustic signal into a target electrical signal; Step S105 , determining the acetic acid concentration in the air sample to be detected based on the target electrical signal.

[0029] In the above embodiment, an air sample to be detected is obtained, and the air sample to be detected is introduced into a detection pool containing a metal organic framework material, and the high selective adsorption capacity of the metal organic framework material for acetic acid molecules is used to improve the sensitivity and selectivity of the detection; the detection pool is irradiated with a light source to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect, and then the photoacoustic signal generated by the photoacoustic effect is captured and converted into a target electrical signal, thereby achieving an effective conversion from a physical signal to an electrical signal, which is convenient for subsequent signal processing and analysis; then, the acetic acid concentration in the air sample to be detected is determined based on the target electrical signal, and the quantitative measurement of the acetic acid concentration is achieved through the relationship between the electrical signal and the acetic acid concentration, thereby improving the reliability and accuracy of the detection. Metal organic framework (MOFs) material, which is a new type of porous material commonly used for gas adsorption and separation, is suitable for capturing acetic acid molecules; through light source excitation, the acetic acid molecules are converted into heat energy after absorbing light energy, and quickly release energy in the form of sound waves, namely the photoacoustic effect, which can detect trace amounts of acetic acid molecules, and this method improves the sensitivity and selectivity of the detection.

[0030] Traditional acetic acid detection methods such as gas chromatography, ion chromatography, etc. often require complex sample pretreatment and long detection cycles, while the method of this embodiment achieves real-time detection through the photoacoustic effect, greatly improving the detection efficiency. Traditional methods are easily interfered by coexisting components in complex mixtures, affecting the detection accuracy, while metal organic framework materials have high selectivity for acetic acid molecules, which can effectively reduce interference and improve detection accuracy. This embodiment uses the photoacoustic effect with instant response as a detection method, which can greatly shorten the entire detection cycle. Compared with laboratory-level detection equipment, the method of this embodiment is more suitable for rapid on-site screening, achieving real-time monitoring of acetic acid concentration and improving detection efficiency.

[0031] In an optional embodiment, the light source is a tunable laser for emitting laser light in a preset wavelength range to excite acetic acid molecules to produce a photoacoustic effect.

[0032] In the above embodiment, by using a tunable laser as a light source, the wavelength of the emitted laser can be precisely controlled to be within a preset wavelength range, thereby effectively exciting the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect. This design not only improves the sensitivity and accuracy of the detection, but also enhances the selectivity, avoids interference from other coexisting components, and further improves the performance of the detection system.

[0033] Tunable lasers can emit lasers with adjustable wavelengths within a certain range. This feature enables the light source to be optimized for the specific absorption wavelength of acetic acid molecules, thereby improving the excitation efficiency and detection sensitivity; acetic acid molecules have the highest light absorption efficiency at a specific wavelength, so the use of tunable lasers can accurately match this wavelength, maximize the generation of photoacoustic effect, and thus improve the accuracy of detection; by adjusting the wavelength of the laser, the interference of other coexisting gas molecules on the detection can be further reduced, and the selectivity of detection can be improved. The use of tunable lasers can accurately match the optimal absorption wavelength of acetic acid molecules, thereby improving the excitation efficiency, and then more trace amounts of acetic acid molecules can be detected, achieving the effect of improving the sensitivity of detection. In terms of light source selection, a light source that can effectively excite acetic acid molecules is selected. This light source usually has a specific wavelength range and can be a monochromatic laser or a broadband light source, depending on the characteristics of the absorption spectrum of acetic acid molecules. For example, if the acetic acid molecule has a strong absorption peak at a specific wavelength (such as 270nm), a laser of the corresponding wavelength can be selected as the excitation source. When the light source shines on the detection pool containing MOFs material, the acetic acid molecules adsorbed on the MOFs material absorb light energy of a specific wavelength, causing the molecular vibration to intensify, thereby heating the surrounding gas and generating an instantaneous pressure wave, namely the photoacoustic effect. Due to the thermal effect generated by the acetic acid molecules after absorbing light energy, a measurable photoacoustic signal will be formed in the detection pool.

[0034] In an optional embodiment, capturing a photoacoustic signal and converting the photoacoustic signal into a target electrical signal includes: using an acoustic wave sensor to capture the photoacoustic signal and obtain an initial electrical signal; amplifying and filtering the initial electrical signal to obtain a target electrical signal.

[0035] In the above embodiment, the use of an acoustic wave sensor to capture the photoacoustic signal and obtain the initial electrical signal can ensure that a weak photoacoustic signal is captured, thereby improving the responsiveness of the detection system. By amplifying and filtering the initial electrical signal, noise interference can be reduced, the signal quality can be improved, and the accuracy and reliability of acetic acid concentration detection can be further improved.

[0036] In the photoacoustic effect, acetic acid molecules absorb light energy and convert it into heat energy, and release energy in the form of sound waves. These sound wave signals are captured by sound wave sensors and converted into initial electrical signals. The initial electrical signal may be weak and may contain noise and interference. Through amplification processing, the strength of the signal can be enhanced, making it easier to be processed by subsequent circuits. Filtering processing can remove noise and interference in the signal and improve the signal-to-noise ratio of the signal, thereby obtaining a more accurate target electrical signal. By increasing signal strength and optimizing the signal-to-noise ratio, the reliability of detection can be enhanced and the probability of false alarms and missed alarms can be reduced. Photoacoustic signals (or pressure waves) are captured by highly sensitive microphones or other sound wave sensors that can convert weak pressure waves into electrical signals.

[0037] In an optional embodiment, determining the acetic acid concentration in the air sample to be detected based on the target electrical signal includes: determining the target acetic acid concentration corresponding to the signal strength of the target electrical signal based on a pre-established target relationship curve, wherein the target acetic acid concentration is the acetic acid concentration in the air sample to be detected, and the target relationship curve is a curve representing the corresponding relationship between the electrical signal strength and the acetic acid concentration.

[0038] In the above embodiment, by comparing the signal strength of the target electrical signal with the pre-established target relationship curve, the acetic acid concentration in the air sample to be detected can be quickly and accurately determined. This method not only improves the detection accuracy, but also shortens the detection time and improves the detection efficiency. It is suitable for on-site real-time monitoring needs and can achieve accurate determination of the acetic acid concentration in the air sample to be detected.

[0039] This embodiment can greatly simplify the operation process and improve the detection efficiency by pre-establishing a target relationship curve and directly searching or interpolating to determine the acetic acid concentration in actual application; the target relationship curve is pre-calibrated according to the acetic acid gas sample of standard concentration. For example, the electrical signal intensity generated by acetic acid at different known concentrations can be measured by experimental means, such as the standard sample method, so as to draw a relationship curve between the electrical signal intensity and the acetic acid concentration. Therefore, its accuracy and reliability can be ensured, thereby enhancing the reliability of the measurement. Once a reliable relationship curve is established, the corresponding acetic acid concentration can be conveniently searched or calculated according to the actual measured electrical signal intensity, which is usually done automatically by software, thereby improving efficiency.

[0040] In an optional embodiment, before determining the target acetic acid concentration corresponding to the signal strength of the target electrical signal based on a pre-established target relationship curve, the method further includes: collecting a plurality of acetic acid gas samples of known concentrations; introducing the plurality of acetic acid gas samples of known concentrations into a detection cell respectively, and obtaining corresponding intensity data of the plurality of electrical signals; and constructing a target relationship curve based on the concentration data of the plurality of acetic acid gas samples of known concentrations and the corresponding intensity data of the plurality of electrical signals.

[0041] In the above embodiment, it can be ensured that an accurate target relationship curve is established in advance when detecting the concentration of acetic acid in the air. Specifically, by collecting a plurality of acetic acid gas samples of known concentrations and introducing them into the detection pool respectively, the corresponding electrical signal intensity data at different concentrations can be obtained. Furthermore, a target relationship curve is constructed based on these data, so that in the subsequent actual detection process, the concentration of acetic acid in the air sample to be detected can be quickly and accurately determined by the intensity of the target electrical signal, thereby improving the reliability and accuracy of the detection.

[0042] By constructing the target relationship curve through actual experimental data, it can ensure that the curve is closer to the actual situation, thereby improving the accuracy of the final measurement results. Modeling based on the data of multiple sample points makes the target relationship curve more representative and stable. By testing multiple samples of known concentrations, a more accurate relationship between the electrical signal intensity and the acetic acid concentration can be obtained, which provides a solid foundation for subsequent concentration determination. In practical applications, as the detection system is used for a longer time or environmental conditions change, the target relationship curve can be updated by regular recalibration to maintain the long-term stability and accuracy of the system. In order to construct an accurate target relationship curve, it is necessary to use acetic acid gas samples with known concentrations for experiments. The concentrations of these samples should cover the possible measurement range to ensure the accuracy and reliability of the curve. According to the concentration data of the acetic acid gas samples with known concentrations and the corresponding electrical signal intensity data, mathematical methods (such as linear regression, polynomial fitting, etc.) can be used to construct the target relationship curve. For ease of understanding, assume that we have experimentally established a linear relationship model between the electrical signal intensity S and the acetic acid concentration C, for example, S=0.5×C+0.1, which can be specifically carried out in the following steps: 1) Standard sample preparation: prepare a series of acetic acid standard gases of known concentrations, such as 0mg / m³, 1mg / m³, 2mg / m³, 3mg / m³, 4mg / m³, 5mg / m³; 2) Signal acquisition: pass each standard gas into the detection cell in turn, use laser excitation, capture the generated photoacoustic signal, and convert it into an electrical signal; 3) Data recording: record the electrical signal intensity S at each concentration. Then, based on the above data, the target relationship curve between the electrical signal intensity S and the acetic acid concentration C can be drawn.

[0043] In an optional embodiment, after determining the target acetic acid concentration corresponding to the signal strength of the target electrical signal based on a pre-established target relationship curve, the method further includes: comparing the target acetic acid concentration with a preset concentration threshold to obtain a comparison result; when the comparison result indicates that the target acetic acid concentration is greater than or equal to the preset concentration threshold, issuing an alarm message.

[0044] In the above embodiment, the target acetic acid concentration corresponding to the signal strength of the target electrical signal is determined by using the pre-established target relationship curve, thereby ensuring the accuracy and reliability of the detection result; the target acetic acid concentration is compared with the preset concentration threshold to quickly determine whether the acetic acid concentration in the current environment exceeds the safety standard; when the target acetic acid concentration is greater than or equal to the preset concentration threshold, an alarm message is immediately issued to remind relevant personnel to take corresponding measures to effectively avoid potential safety hazards. This embodiment can achieve the purpose of real-time monitoring of the acetic acid concentration in the air and timely issuing of alarm messages.

[0045] By detecting the acetic acid concentration in real time and comparing it with the preset concentration threshold, potential dangers can be discovered in time, so that countermeasures can be taken to improve safety, and the system can trigger an alarm immediately. The alarm can be in various forms, such as sound and light alarms, sending text messages or email notifications, etc.; the entire process can be fully automated from data collection to alarm generation, reducing the need for human intervention and improving the response speed and reliability of the system. Through real-time monitoring and timely alarms, this method can reduce the health and safety risks caused by excessive acetic acid concentrations and improve the response speed to potential dangers; automated alarms reduce the need for manual monitoring and save human resources. According to different application scenarios, the preset concentration thresholds can be flexibly adjusted to meet specific safety standards and requirements.

[0046] In an optional embodiment, the method further includes: monitoring the temperature and humidity in the detection pool to obtain monitoring results; and adjusting the wavelength of the light source according to the monitoring results to compensate for the impact of environmental changes on the acetic acid concentration detection results.

[0047] In the above embodiment, the temperature and humidity in the detection pool can be monitored in real time during the detection process, and the wavelength of the light source can be dynamically adjusted according to the monitoring results, so as to effectively compensate for the acetic acid concentration detection error caused by environmental changes and improve the accuracy and reliability of the detection.

[0048] In gas detection, changes in environmental factors such as temperature and humidity may affect the accuracy of the detection results. The detection methods of related technologies may not take into account the impact of environmental changes on the detection results, or lack an effective dynamic adjustment mechanism to compensate for these impacts, resulting in the consistency and accuracy of the detection results under different environmental conditions being difficult to ensure. This embodiment can effectively compensate for the impact of environmental changes on the acetic acid concentration detection results by monitoring the temperature and humidity in the detection pool and adjusting the wavelength of the light source according to the monitoring results, thereby improving the accuracy of the detection; by dynamically adjusting the wavelength of the light source to adapt to environmental changes, the adaptability and robustness of the system are enhanced, so that the detection results can maintain a high consistency and reliability under different environmental conditions; by precisely controlling the wavelength of the light source, the detection error caused by environmental changes can be reduced. The method of this embodiment introduces an adaptive adjustment mechanism that can fine-tune the wavelength of the light source according to real-time environmental parameters, thereby enhancing the adaptability of the detection system to different environmental conditions.

[0049] As an optional implementation, the wavelength of the light source is adjusted according to the monitoring results and a pre-established correction model. In practical applications, the temperature, humidity and wavelength correction models can be pre-established according to the following method. For example, step 1, at standard temperature (e.g., 25°C) and standard humidity (e.g., 50% RH), use a series of acetic acid standard gas samples of known concentrations for initial calibration to establish a relationship model between the electrical signal intensity S and the acetic acid concentration C: S=k×C+b, where k and b are the proportional constant and intercept determined experimentally. Step 2, repeat the above calibration process under different temperature and humidity conditions, record the relationship between the electrical signal intensity S and the acetic acid concentration C under different conditions, and establish a temperature-humidity-wavelength correction model through data analysis, for example, λ=a0+a1×T+a2×H+a3×T 2 +a4×H 2 +a5×T×H, where λ is the optimal wavelength, T is the temperature, H is the humidity, and a0, a1, a2, a3, a4, and a5 are coefficients obtained by fitting experimental data. The model describes the optimal wavelength selection of the light source under different temperature and humidity conditions. Step 3, in the actual detection process, the temperature and humidity in the detection pool are monitored in real time using a temperature sensor and a humidity sensor, and the monitored temperature and humidity data are input into the control system. The control system automatically adjusts the wavelength of the tunable laser according to the temperature-humidity-wavelength correction model to compensate for the influence of environmental changes on the photoacoustic effect. As an example, assume that during a certain detection process, the temperature in the detection pool rises from 25°C to 30°C, and the humidity rises from 50% RH to 60% RH. According to the pre-established temperature-humidity-wavelength correction model, we know that under such conditions, the optimal wavelength of the light source should be adjusted from 270nm to 275nm. Then, according to the correction model, the detection system issues an instruction to adjust the wavelength of the tunable laser from 270nm to 275nm.

[0050] This embodiment can effectively compensate for the impact of environmental changes on the photoacoustic effect by real-time monitoring of temperature and humidity and adjusting the wavelength of the light source according to a pre-established correction model, thereby ensuring the stability and accuracy of the detection results. This method is particularly suitable for application scenarios that require long-term continuous monitoring in the field or in complex environments.

[0051] In an optional embodiment, before introducing the air sample to be detected into the detection cell containing the metal organic framework material, the method further comprises: pre-treating the air sample to be detected to remove particulate matter and / or moisture therein.

[0052] In practical applications, the particulate matter and / or moisture that may be contained in the air sample to be tested may interfere with the adsorption and detection process of acetic acid by MOFs. Particulate matter may block the pores of MOFs and reduce their adsorption efficiency; while moisture may interact with MOFs, changing their structure and performance, thereby affecting the accuracy of the detection results. This embodiment can eliminate the influence of these interfering factors on the adsorption and detection process of MOFs by pre-treating the air sample to be tested and removing the particulate matter and / or moisture therein, thereby improving the accuracy of the detection.

[0053] The present application also provides a detection system for acetic acid concentration, which is applied to the detection method for acetic acid concentration in any of the above embodiments, such as Figure 2 As shown, Figure 2 : is a framework diagram of an acetic acid concentration detection system provided in an embodiment of the present application, the system comprising: an air intake pipe, a detection cell, a light source, an acoustic wave sensor and a data analysis module, wherein: The air inlet duct is used to introduce the air sample to be tested into the detection cell, wherein the detection cell contains the metal organic framework material; The light source is used to illuminate the detection cell to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect; The acoustic wave sensor is used to capture the photoacoustic signal and convert the photoacoustic signal into a target electrical signal; The data analysis module is used to analyze the target electrical signal to determine the acetic acid concentration in the air sample to be detected.

[0054] In the above embodiment, the air intake pipe introduces the air sample to be detected into the detection pool containing the metal organic framework material; the detection pool is illuminated by a light source to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect, and then the photoacoustic signal generated by the photoacoustic effect is captured by an acoustic wave sensor and converted into a target electrical signal; the data analysis module determines the acetic acid concentration in the air sample to be detected by analyzing the target electrical signal, thereby realizing an automated and intelligent detection process, greatly reducing human intervention, and improving detection efficiency and accuracy. The detection system also supports a variety of optimization measures, such as using a tunable laser to emit a laser in a preset wavelength range to improve selectivity; by monitoring the temperature and humidity in the detection pool and adjusting the wavelength of the light source, the influence of environmental changes on the detection results is compensated, ensuring the stability and reliability of the system.

[0055] In an optional embodiment, a filter is provided in the air intake duct, and the filter is used to filter out particulate matter and / or moisture in the air sample to be detected. In practical applications, particulate matter and / or moisture that may be contained in the air sample to be detected may interfere with the adsorption and detection process of acetic acid by MOFs. Particulate matter may clog the pores of MOFs and reduce its adsorption efficiency; while moisture may interact with MOFs to change its structure and performance, thereby affecting the accuracy of the detection results. By providing a filter in the air intake duct, this embodiment can pre-treat the air sample to be detected to remove particulate matter and / or moisture therein, thereby eliminating the influence of these interfering factors on the adsorption and detection process of MOFs, thereby improving the accuracy of the detection.

[0056] Obviously, the above-described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The present application will be described in detail below in conjunction with specific embodiments.

[0057] In order to improve the sensitivity and selectivity of acetic acid detection and shorten the sampling and analysis time, an embodiment of the present application provides a method for detecting acetic acid in air.

[0058] (1) Embodiment 1 An integrated detection platform using photoacoustic spectroscopy combined with metal organic framework materials (MOFs). Specifically, the platform achieves instant and accurate detection of acetic acid in the air through the highly specific adsorption of acetic acid by MOFs and the sensitivity advantage of photoacoustic spectroscopy.

[0059] Step S11: Collect the air sample to be tested and inject it into the detection pool containing the specially customized MOFs material. The MOFs material has a high surface area and a specific pore size and is specially designed to efficiently capture acetic acid molecules.

[0060] Step S12: using a light source to excite the mixed gas in the detection cell to produce a photoacoustic effect, and the acetic acid molecules adsorbed by the MOFs material respond to changes in light of different wavelengths.

[0061] Step S13: By detecting the change in the intensity of the photoacoustic signal, the number of acetic acid molecules is indirectly reflected, thereby achieving rapid quantitative detection of acetic acid.

[0062] This solution not only greatly improves the selectivity and sensitivity of acetic acid detection, but also greatly reduces the time of sample pretreatment, simplifies the overall detection process, and meets the needs of real-time monitoring.

[0063] Specific example: In a workplace safety monitoring scenario at a petrochemical company, our integrated detection platform is placed at a vent near a potential pollution source. Whenever a detection command is triggered, the system immediately inhales a sample of the surrounding air and introduces it into a detection cell filled with a specific MOFs material. With its high affinity for acetic acid, the MOFs material quickly captures and fixes the target molecules in the air. Subsequently, a laser of a specific frequency is used to irradiate the detection cell, exciting the acetic acid molecules adsorbed on the surface of the MOFs to produce a photoacoustic effect. The built-in acoustic wave sensor of the integrated platform captures the resulting sound signal, and calculates the concentration of acetic acid by analyzing the signal intensity. Since the entire process does not require additional preprocessing or complex operations, the test results can be obtained in just a few seconds, greatly enhancing the response speed and accuracy of on-site monitoring.

[0064] (2) Example 2 In order to cope with the challenges of environmental factors, especially fluctuations in temperature and humidity, to the stability of detection, an environmental compensation mechanism, namely the dynamic environmental calibration function, was developed. By real-time monitoring and adjusting the internal conditions of the detection cell, the MOFs material is always in the optimal working state, eliminating the influence of external variables on the acetic acid detection results.

[0065] On this basis, dynamic environment calibration is achieved by adding environment perception and adjustment components. The specific steps are as follows: Step S21: Install multiple sets of temperature and humidity sensors inside and outside the detection pool to continuously collect environmental parameters to provide a basis for dynamic correction.

[0066] Step S22: Based on the sensor data, the temperature and humidity conditions in the detection cell are automatically adjusted through the built-in control system to match the optimal performance range of the MOFs material.

[0067] Step S23: Periodically perform the baseline correction procedure to correct the signal deviation caused by environmental changes to ensure long-term detection accuracy and stability.

[0068] The embodiments of the present application have at least the following beneficial effects: highly specific and sensitive detection of acetic acid is achieved, sampling and analysis time is greatly shortened, and the rapid and accurate determination of trace acetic acid in the air is achieved. At the same time, by integrating intelligent environmental control components, the negative impact of factors such as temperature, humidity and airflow on the detection results is eliminated, and the stability and reliability of the system are significantly enhanced.

[0069] The present application also provides a computer-readable storage medium, in which instructions are stored. When the instructions are executed, any one of the method steps described above is executed.

[0070] In an exemplary embodiment, the computer-readable storage medium may include, but is not limited to, various media that can store computer programs, such as a USB flash drive, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk.

[0071] The present application also discloses an electronic device. Figure 3 As shown, Figure 3 The electronic device 300 may include: at least one processor 301 , at least one communication bus 302 , a user interface 303 , at least one network interface 304 , and a memory 305 .

[0072] The communication bus 302 is used to realize the connection and communication between these components.

[0073] The user interface 303 may include a display screen (Display) and a camera (Camera). Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0074] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0075] Among them, the processor 301 may include one or more processing cores. The processor 301 uses various interfaces and lines to connect various parts of the entire electronic device (such as a server), and executes various functions of the server and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 305, and calling data stored in the memory 305. Optionally, the processor 301 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 301 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 301, and it can be implemented separately through a chip.

[0076] Among them, the memory 305 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 305 includes a non-transitory computer-readable storage medium. The memory 305 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 305 may optionally also be at least one storage device located away from the aforementioned processor 301. Refer to Figure 3 , the memory 305 as a computer storage medium may include an operating system, a network communication module, a user interface module and an application program for a method for detecting acetic acid concentration.

[0077] exist Figure 3 In the electronic device 300 shown, the user interface 303 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 301 can be used to call an application program of a method for detecting acetic acid concentration stored in the memory 305. When executed by one or more processors 301, the electronic device 300 executes one or more of the methods described in the above embodiments. It should be noted that for the aforementioned method embodiments, for the sake of simple description, they are all expressed as a series of action combinations, but those skilled in the art should know that the present application is not limited by the described order of actions, because according to the present application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily required for the present application.

[0078] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0079] In the several implementation modes provided in this application, it should be understood that the disclosed device or system can be implemented in other ways. For example, the device or system embodiments described above are only schematic, such as the division of units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0080] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0081] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0082] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a memory and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to execute all or part of the steps of the various embodiments of the present application. The aforementioned memory includes: various media that can store program codes, such as USB flash drives, mobile hard drives, magnetic disks or optical disks.

[0083] The above is only an exemplary embodiment of the present disclosure and cannot be used to limit the scope of the present disclosure. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the disclosure of the specification and practice, those skilled in the art will easily think of other embodiments of the present disclosure.

[0084] This application is intended to cover any modifications, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the technical field not recorded in the present disclosure.

Claims

1. A method for detecting acetic acid concentration, characterized in that: include: Obtain air samples to be tested; Introducing the air sample to be detected into a detection cell containing a metal organic framework material; irradiating the detection cell with a light source to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect; Capturing photoacoustic signals and converting the photoacoustic signals into target electrical signals; The acetic acid concentration in the air sample to be detected is determined based on the target electrical signal.

2. The method according to claim 1, characterized in that: The light source is a tunable laser, which is used to emit laser light in a preset wavelength range to excite the acetic acid molecules to produce a photoacoustic effect.

3. The method according to claim 1, characterized in that Capturing a photoacoustic signal and converting the photoacoustic signal into a target electrical signal, comprising: Using an acoustic wave sensor to capture the photoacoustic signal and obtain an initial electrical signal; The initial electrical signal is amplified and filtered to obtain the target electrical signal.

4. The method according to claim 1, characterized in that: Determining the acetic acid concentration in the air sample to be detected based on the target electrical signal includes: A target acetic acid concentration corresponding to the signal strength of the target electrical signal is determined based on a pre-established target relationship curve, wherein the target acetic acid concentration is the acetic acid concentration in the air sample to be detected, and the target relationship curve is a curve used to represent the corresponding relationship between the electrical signal strength and the acetic acid concentration.

5. The method according to claim 4, characterized in that Before determining the target acetic acid concentration corresponding to the signal intensity of the target electrical signal based on the pre-established target relationship curve, the method further includes: Collect multiple acetic acid gas samples of known concentration; Introducing the plurality of acetic acid gas samples of known concentrations into the detection cell respectively, and obtaining corresponding intensity data of a plurality of electrical signals; The target relationship curve is constructed according to the concentration data of the plurality of acetic acid gas samples with known concentrations and the corresponding intensity data of the plurality of electrical signals.

6. The method according to claim 4, characterized in that After determining the target acetic acid concentration corresponding to the signal intensity of the target electrical signal based on the pre-established target relationship curve, the method further includes: Comparing the target acetic acid concentration with a preset concentration threshold to obtain a comparison result; When the comparison result indicates that the target acetic acid concentration is greater than or equal to the preset concentration threshold, an alarm message is issued.

7. The method according to claim 1, characterized in that The method further comprises: Monitoring the temperature and humidity in the detection pool to obtain monitoring results; The wavelength of the light source is adjusted according to the monitoring results to compensate for the influence of environmental changes on the acetic acid concentration detection results.

8. A system for detecting acetic acid concentration, characterized in that: The method for executing any one of claims 1 to 7 comprises: an air intake pipe, a detection pool, a light source, an acoustic wave sensor and a data analysis module, wherein: The air inlet pipe is used to introduce the air sample to be detected into the detection cell, wherein the detection cell contains a metal organic framework material; The light source is used to illuminate the detection cell to excite the acetic acid molecules adsorbed on the metal organic framework material to produce a photoacoustic effect; The acoustic wave sensor is used to capture the photoacoustic signal and convert the photoacoustic signal into a target electrical signal; The data analysis module is used to analyze the target electrical signal to determine the acetic acid concentration in the air sample to be detected.

9. An electronic device comprising a memory and a processor, wherein a computer program is stored in the memory, wherein: When the processor executes the program, the method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed, the method according to any one of claims 1 to 7 is performed.

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