An online greenhouse gas monitoring system for sewage treatment processes

Abstract

The present invention relates to an online greenhouse gas monitoring system for a sewage treatment process, comprising: a collection device for collecting gas samples generated during the sewage treatment process; a pre-analysis component for obtaining sample information of the samples; and an optical analysis device for performing optical analysis on the samples to determine the final concentration of a target greenhouse gas in the samples. The optical analysis comprises: obtaining an absorption spectrum of the sample and determining a compensation coefficient based on the absorption spectrum and the sample information; determining the integrated absorbance of the sample based on the absorption spectrum; and determining the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient. The online monitoring system of the present invention has higher measurement accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of sewage treatment, and in particular to an online greenhouse gas monitoring system for a sewage treatment process. Background Art

[0002] The urban wastewater treatment industry is an integral part of today's modernization process. It plays a crucial role in treating and reducing urban wastewater emissions, and its operation inevitably generates greenhouse gases. In fact, wastewater treatment is a carbon emission process, accounting for approximately 1% of total societal emissions, the largest share within the environmental protection industry. Wastewater treatment emits greenhouse gases such as carbon dioxide, methane, and nitrous oxide, along with background gases such as hydrogen sulfide, nitrogen, and ammonia. Specifically, wastewater treatment consumes significant amounts of fuel and chemicals, indirectly emitting significant greenhouse gases, and the treatment process itself also directly emits greenhouse gases. Carbon dioxide primarily originates from energy consumption within wastewater treatment facilities, while carbon dioxide generated by the degradation of water pollutants is considered biogenic carbon emissions. Methane primarily originates from the anaerobic stages of wastewater treatment, including pipe networks, anaerobic tanks, septic tanks, and anaerobic sludge digesters. Nitrous oxide primarily originates from the nitrification and denitrification stages of the wastewater treatment process. Therefore, monitoring greenhouse gas emissions at all stages of wastewater treatment is essential.

[0003] For the sewage treatment industry, existing greenhouse gas monitoring methods mainly include two steps: collecting samples and measuring the greenhouse gas concentration in the samples. Among them, the common methods of concentration measurement include electrochemical, thermal conductivity, gas semiconductor, optical interference, carrier catalytic combustion and infrared absorption. Most of the above measurement methods have very demanding requirements on the measurement environment, and the sewage treatment environment is relatively harsh. In addition, the gas composition in the sample is also relatively complex. Electrochemical, semiconductor and other gas detection devices have low measurement accuracy due to the lack of good measurement environment conditions. Existing optical interference and infrared absorption measurement devices have relatively stable measurement accuracy because they can perform non-contact measurements, but they will also be affected by cross-interference between gases, which will reduce the concentration measurement accuracy of the target greenhouse gas in the mixed gas sample.

[0004] In addition, the means of collecting gas samples in the sewage treatment industry are relatively simple. Especially when collecting samples of gases generated in anoxic tanks, aerobic tanks, secondary sedimentation tanks and other tanks, floating gas collection boxes are usually set directly at fixed positions on the tank body. However, when the tank body area is large, the reaction degree of each area may be different, making the samples collected by the floating gas collection box set at a fixed position unrepresentative. Summary of the Invention

[0005] (1) Technical issues to be resolved

[0006] In view of the above-mentioned shortcomings and deficiencies of the prior art, the present invention provides an online greenhouse gas monitoring system for a sewage treatment process, which solves the technical problem of low concentration measurement accuracy of greenhouse gases in a sewage treatment process in the prior art.

[0007] (2) Technical solution

[0008] In order to achieve the above objectives, the main technical solutions adopted by the present invention include:

[0009] An embodiment of the present invention provides an online greenhouse gas monitoring system for a sewage treatment process, comprising:

[0010] a collection device for collecting samples of gases generated during sewage treatment;

[0011] A pre-analysis component for obtaining sample information of the sample;

[0012] an optical analysis device, used for optically analyzing the sample to determine the final concentration of the target greenhouse gas in the sample;

[0013] The optical analysis includes: obtaining the absorption spectrum of the sample and determining a compensation coefficient based on the absorption spectrum of the sample and sample information; determining the integrated absorbance of the sample based on the absorption spectrum of the sample; and determining the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient.

[0014] Optionally, between the acquisition device and the pre-analysis component, it further includes:

[0015] The dehydration device is used to dehydrate the sample collected by the collection device to obtain a dry sample.

[0016] Optionally, the collection device includes: at least one of a sampling gun and a floating gas sampling box;

[0017] The sampling gun is used to collect gas samples in the gas pipeline during sewage treatment;

[0018] The floating gas sampling box is used to collect samples from the water-gas interface of the tank during sewage treatment.

[0019] Optionally, the floating gas sampling box includes:

[0020] The cover body is floated on the water surface, and a distance is maintained between the top of the inner side of the cover body and the water surface of the pool body;

[0021] A sampling tube, one end of which passes through the cover and extends into the interior of the cover;

[0022] The sampling pump is provided on the sampling tube, and when the sampling pump is in operation, the gas in the cover body is extracted through the sampling tube as a sample;

[0023] a first flow sensor, disposed on the sampling tube, for obtaining a first flow of the collected sample;

[0024] a first temperature sensor, configured to obtain a first temperature within the housing;

[0025] a first pressure sensor, configured to obtain a first pressure within the housing;

[0026] The first flow rate, the first pressure, and the first temperature are used to determine the concentration of the target greenhouse gas in the enclosure based on the final concentration of the target greenhouse gas.

[0027] Optionally, the floating gas sampling box further comprises a position adjustment component, and the position adjustment component comprises: a rotating base and a slide rail;

[0028] The rotating base includes a base and a turntable rotatably arranged on the base; the base is fixedly arranged on the bank of the pool;

[0029] The slide rail includes a track and a slide seat slidably arranged on the track, one end of the track is fixedly connected to the turntable, and the slide seat is fixedly connected to the cover body;

[0030] When the turntable rotates relative to the base, the cover body is driven to revolve around the turntable; when the slide moves, the cover body is driven to move in a direction parallel to the track.

[0031] Optionally, the pre-analysis component includes: a temperature sensor, a pressure sensor, and concentration sensors corresponding to multiple gases;

[0032] The sample information includes: the second temperature, the second pressure, the gas type of the sample, and the measured concentration collected by the concentration sensor corresponding to each gas.

[0033] Optionally, the optical analysis device comprises:

[0034] An optical unit, used for obtaining the absorption spectrum of the sample in the absorption frequency band of the target greenhouse gas based on TDLAS (Tunable Diode Laser Absorption Spectroscopy) technology;

[0035] The compensation analysis unit is used to determine a compensation coefficient based on the absorption spectrum of the sample and the sample information; determine the integrated absorbance of the sample based on the absorption spectrum of the sample; and determine the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient.

[0036] Optionally, in the compensation analysis unit, determining the integrated absorbance of the sample based on the absorption spectrum of the sample; and determining the final concentration of the target greenhouse gas based on the integrated absorbance and the compensation coefficient, includes:

[0037] Calculating the natural logarithm of the absorption spectrum and then performing area integration to obtain the integrated absorbance of the sample;

[0038] Based on the integrated absorbance and the compensation coefficient, the final concentration of the target greenhouse gas in the sample is determined according to formula (1); the formula (1) is:

[0039]

[0040] C represents the final concentration of the target greenhouse gas in the sample, A represents the integrated absorbance of the sample, T represents the second temperature of the sample, T0 represents the reference temperature, ε represents the compensation coefficient of the target greenhouse gas, S(T) represents the absorption line intensity of the target greenhouse gas corresponding to the central wavelength of the incident laser at the second temperature, L represents the optical path, and P represents the second pressure of the sample.

[0041] Optionally, in the compensation analysis unit, determining the compensation coefficient based on the absorption spectrum of the sample and the sample information includes:

[0042] Preprocessing the sample information and absorption spectrum of the sample to obtain preprocessed data;

[0043] Inputting the preprocessed data into a target greenhouse gas compensation model to obtain a compensation coefficient output by the target greenhouse gas compensation model;

[0044] The target greenhouse gas compensation model is a deep learning model with appropriate model parameters obtained based on a pre-training process.

[0045] Optionally, the pre-training process includes acquiring training data, and acquiring training data includes:

[0046] A training gas mixture containing a target greenhouse gas and with known concentrations of each gas component is configured; the temperature and pressure of the training gas mixture are measured, and a training absorption spectrum of the training gas mixture in the absorption frequency band of the target greenhouse gas is obtained based on the TDLAS technique;

[0047] Acquiring the temperature, pressure, gas type, and concentration of each gas of the training mixed gas as training sample information, and performing data preprocessing on the training sample information and training absorption spectrum to use as input data for a target greenhouse gas compensation model;

[0048] Taking the natural logarithm of the training absorption spectrum and then performing area integration to obtain the integrated absorbance of the training mixed gas; and determining the compensation coefficient of the target greenhouse gas according to formula (1) based on the integrated absorbance and the concentration of the target greenhouse gas in the training mixed gas, as the true value of the compensation coefficient predicted by the target greenhouse gas compensation model;

[0049] The training sample information of the training mixed gas, the training absorption spectrum and the true value of the compensation coefficient are the training data.

[0050] (3) Beneficial effects

[0051] The online monitoring system proposed in this embodiment uses an optical analysis module to acquire the sample's absorption spectrum and determine a compensation coefficient based on the absorption spectrum and sample information. The final concentration of the target greenhouse gas in the sample is then determined based on the absorption spectrum and the compensation coefficient. Compared to existing methods that determine concentration directly based on absorption spectra, this system offers higher measurement accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 A schematic diagram of the architecture of an online greenhouse gas monitoring system for a sewage treatment process provided in an embodiment;

[0053] Figure 2 A schematic diagram of the architecture of another online greenhouse gas monitoring system for a sewage treatment process provided by an embodiment;

[0054] Figure 3 Schematic diagram of the structure of the collection device provided in the embodiment;

[0055] Figure 4 Schematic diagram of the structure of the optical analysis device provided in the embodiment. DETAILED DESCRIPTION

[0056] In order to better explain the present invention and facilitate understanding, the present invention is described in detail below through specific implementation methods in conjunction with the accompanying drawings.

[0057] Example 1

[0058] like Figure 1 As shown, this embodiment provides an online greenhouse gas monitoring system for a sewage treatment process, comprising:

[0059] The sampling device is used to collect gas samples generated during sewage treatment. Generally, the samples collected during sewage treatment are mixed gases, including carbon dioxide, methane, nitrous oxide, hydrogen sulfide, nitrogen, ammonia and other gases.

[0060] The pre-analysis component is used to obtain sample information of the sample. Specifically, the sample information includes: the second temperature, the second pressure, the gas type, and the measured concentration of each gas collected by the concentration sensor corresponding to the sample.

[0061] The optical analysis device is used to perform optical analysis on a sample to determine the final concentration of the target greenhouse gas in the sample. The optical analysis includes: acquiring an absorption spectrum of the sample and determining a compensation coefficient based on the absorption spectrum and sample information; determining the integrated absorbance of the sample based on the absorption spectrum; and determining the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient.

[0062] The target greenhouse gas may be one or more of carbon dioxide, methane, and nitrous oxide.

[0063] The online monitoring system proposed in this embodiment of the present invention uses an optical analysis module to acquire a sample's absorption spectrum and, based on the absorption spectrum and sample information, determine a compensation coefficient. The system then determines the sample's integrated absorbance based on the absorption spectrum. Finally, the final concentration of the target greenhouse gas in the sample is determined based on the integrated absorbance and the compensation coefficient. This system offers higher measurement accuracy than existing optical analysis methods, which directly determine gas concentration based on the integrated absorbance obtained by integrating the absorption spectrum.

[0064] In a specific implementation of this embodiment, Figure 2 As shown, the online monitoring system includes a collection device, a water removal device, a pre-analysis component and an optical analysis device.

[0065] The dehydration device is used to dehydrate the sample collected by the collection device to obtain a dry sample, thereby further improving the measurement accuracy of the optical analysis device. Specifically, the dehydration device can be a freeze dryer or a membrane dryer.

[0066] The collection device includes: at least one of a sampling gun and a floating gas sampling box.

[0067] The sampling gun is used to collect gas samples in the gas pipeline during sewage treatment.

[0068] The floating gas sampling box is used to collect samples from the water-gas interface of the tank during sewage treatment.

[0069] like Figure 3 As shown, in a more preferred embodiment, the floating gas sampling box includes: a cover 1, a sampling tube 2, a sampling pump 3, a first flow sensor 4, a first temperature sensor 5 and a first pressure sensor 6. The details are as follows:

[0070] The cover body 1 is floated on the water surface, and a distance is maintained between the inner top of the cover body 1 and the water surface of the pool.

[0071] One end of the sampling tube 2 passes through the cover 1 and extends into the interior of the cover 1 .

[0072] The sampling pump 3 is provided on the sampling tube 2 . When the sampling pump 3 is in operation, the gas in the housing 1 is extracted through the sampling tube 2 as a sample.

[0073] The first flow sensor 4 is provided on the sampling tube 2 and is used to obtain a first flow rate of the collected sample.

[0074] The first temperature sensor 5 is used to obtain a first temperature inside the housing 1 .

[0075] The first pressure sensor 6 is used to obtain the first pressure inside the housing 1 .

[0076] The first flow rate, the first pressure, and the first temperature are used to determine the flow rate of the target greenhouse gas in the enclosure based on the final concentration of the target greenhouse gas.

[0077] Specifically, after the downstream optical analysis device measures the final concentration of the target greenhouse gas in the sample, it can perform conversion based on formulas (2) and (3):

[0078]

[0079] Q = Q0 × C1 (3);

[0080] Among them, P2 represents the second pressure of the sample, T2 represents the second temperature of the sample, C represents the final concentration of the target greenhouse gas in the sample, P1 represents the first pressure inside the cover, T1 represents the first temperature inside the cover, C1 represents the concentration of the target greenhouse gas inside the cover, Q represents the flow rate of the target greenhouse gas inside the cover; Q0 represents the first flow rate of the sample.

[0081] Similarly, the above-mentioned sampling gun may also include a second flow sensor for collecting a third flow in the gas pipeline, a third temperature sensor for collecting a third temperature in the gas pipeline, and a third pressure sensor for collecting a third pressure in the gas pipeline. Based on the third flow, third temperature, third pressure and the final concentration of the target greenhouse gas in the above-mentioned sample, the method for determining the flow of the target greenhouse gas in the gas pipeline is the same as the above-mentioned method for determining the flow of the target greenhouse gas in the cover.

[0082] In addition, in order to facilitate the floating gas sampling box to collect gas at different points of the pool body as samples, the floating gas sampling box also includes a position adjustment component.

[0083] like Figure 3 As shown, the position adjustment component includes: a rotating base and a slide rail.

[0084] The rotating base includes a base 7 and a turntable 8 rotatably arranged on the base; the base 7 is fixedly arranged on the bank of the pool body; the slide rail includes a track 9 and a slide 10 slidably arranged on the track 9, one end of the track 9 is fixedly connected to the top of the turntable 8, and the slide 10 is fixedly connected to the cover body 1 through a sling 11, and moves along the track 9 under the drive of the first motor; when the turntable 8 rotates relative to the base 7 under the drive of the second motor, it drives the cover body 1 to revolve around the turntable 8; when the slide 10 moves, it drives the cover body 1 to move in the direction parallel to the track 11.

[0085] In addition, in order to facilitate the staff to perform on-site real-time operations with the online monitoring system provided in this embodiment, the online monitoring system may also include a control cabinet 12, the pre-analysis component and the optical analysis device are integrated inside the control cabinet, and the acquisition device is connected to the optical analysis device through the pre-analysis component.

[0086] The control cabinet also includes a controller, a touch screen, and a remote communication module. The touch screen and remote communication module, as well as the first motor, second motor, first flow sensor, first temperature sensor, first pressure sensor, pre-analysis component, optical analysis device, and water removal device, are all communicatively connected to the controller. The controller is used to store field data collected by the online monitoring system and display it to a user, transmit field data to a remote end or receive remote operation instructions sent by a remote end via the remote communication module, and, upon receiving field operation instructions for the collection device triggered by the user via the touch screen, control the collection device to perform corresponding actions. Specifically, the operation instructions include opening and closing the collection device, the sampling frequency of the collection device, movement of the slide along the slide rail, and rotation of the turntable relative to the base.

[0087] Example 2

[0088] Based on the online monitoring system provided in the first embodiment, this embodiment specifically describes the optical analysis device and the pre-analysis component.

[0089] This embodiment provides an online monitoring system, including a collection device, a pre-analysis component, and an optical analysis component, as follows:

[0090] The pre-analysis component includes a temperature sensor, a pressure sensor, and concentration sensors corresponding to multiple gases, which are used to obtain sample information of the sample collected by the collection device. Specifically, the sample information includes the second temperature, second pressure, gas type, and the measured concentration of each gas collected by the concentration sensor corresponding to the sample.

[0091] The optical analysis device is used to perform optical analysis on the sample to determine the final concentration of the target greenhouse gas in the sample.

[0092] In a preferred implementation of this embodiment, the optical analysis device includes an optical unit and a compensation analysis unit, specifically as follows:

[0093] The optical unit is used to obtain the absorption spectrum of the sample in the absorption frequency band of the target greenhouse gas based on the TDLAS technology.

[0094] The optical unit of TDLAS technology generally includes an air chamber, a laser light source, and a light receiver. A modulated semiconductor laser is generally used as the light source of the incident laser. The central wavelength of the incident laser is modulated by scanning the current intensity, and the scanning wavelength range covers the absorption wavelength of the target greenhouse gas. After the sample is passed into the air chamber, the modulated incident laser is propagated in the air chamber. The sample gas absorbs the laser energy, weakening the intensity of the outgoing laser. Then, based on the change in the intensity of the outgoing laser detected by the light receiver, that is, the absorption spectrum, the concentration of the target greenhouse gas is inferred. Among them, in order to improve the detection accuracy of the target greenhouse gas concentration, the incident laser is usually reflected multiple times in the air chamber to increase the optical path.

[0095] In particular, when there are multiple target greenhouse gases, there are corresponding multiple gas chambers. By inputting the samples into the above-mentioned multiple gas chambers in sequence, the absorption spectrum after irradiation with the incident laser at the corresponding central wavelength can be obtained for analysis by the compensation analysis unit to determine the final concentration of the corresponding target greenhouse gas.

[0096] Specifically, when the target greenhouse gases are carbon dioxide, methane and nitrous oxide, the schematic diagram of the optical analysis device is as follows: Figure 4 As shown, it includes a first air chamber, a second air chamber and a third air chamber connected in sequence, and each air chamber is respectively provided with a first compensation analysis unit, a second compensation analysis unit and a third compensation analysis unit in a one-to-one correspondence.

[0097] The central wavelength of the incident laser into the first gas chamber is the same as the absorption wavelength of carbon dioxide. The absorption spectrum obtained is input into the first compensation analysis unit for analysis to obtain the final concentration of carbon dioxide in the sample.

[0098] The central wavelength of the incident laser into the second gas chamber is the same as the absorption wavelength of methane. The absorption spectrum obtained is input into the second compensation analysis unit for analysis to obtain the final concentration of methane in the sample.

[0099] The central wavelength of the incident laser into the third gas chamber is the same as the absorption wavelength of nitrous oxide. The absorption spectrum obtained is input into the third compensation analysis unit for analysis to obtain the final concentration of nitrous oxide in the sample.

[0100] Specifically, each of the compensation analysis units is used to determine a compensation coefficient based on the absorption spectrum of the sample and sample information; determine the integrated absorbance of the sample based on the absorption spectrum of the sample; and determine the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient.

[0101] The method of determining the integrated absorbance of the sample based on the absorption spectrum of the sample in the compensation analysis unit and determining the final concentration of the target greenhouse gas based on the integrated absorbance and the compensation coefficient includes:

[0102] A1. Calculate the natural logarithm of the absorption spectrum and then perform area integration to obtain the integrated absorbance of the sample.

[0103] A2. Based on the integrated absorbance and the compensation coefficient, determine the final concentration of the target greenhouse gas in the sample according to formula (1); the formula (1) is:

[0104]

[0105] C represents the final concentration of the target greenhouse gas in the sample, A represents the integrated absorbance of the sample, T represents the second temperature of the sample, T0 represents the reference temperature, S(T) represents the absorption line intensity of the target greenhouse gas corresponding to the central wavelength of the incident laser at the second temperature, which can be obtained by looking up the table, L represents the optical path, P represents the second pressure of the sample, and ε represents the compensation coefficient of the target greenhouse gas, which is determined based on the absorption spectrum of the sample and the sample information.

[0106] It should be noted that, unless otherwise specified in this embodiment, the gas concentrations involved are all volume fraction concentrations.

[0107] The compensation coefficient ε of the target greenhouse gas is based on the absorption spectrum of the sample and the sample information. The method for determining the compensation coefficient includes:

[0108] B1. Preprocess the sample information and absorption spectrum of the sample to obtain preprocessed data. Preferably, the preprocessing includes data cleaning, and the data cleaning includes removing outliers in the sample information, filling missing values in the sample information, etc.

[0109] B2. Inputting the preprocessed data into a target greenhouse gas compensation model to obtain a compensation coefficient output by the target greenhouse gas compensation model, wherein the target greenhouse gas compensation model is a deep learning model with appropriate model parameters obtained through a pre-training process.

[0110] Specifically, the deep learning model can be one of a deep convolutional neural network model (DNN), a feedforward neural network model (BPNN), and a support vector machine (SVM).

[0111] The pre-training process includes acquiring training data and training the target greenhouse gas compensation model based on the training data so that the target greenhouse gas compensation model has appropriate model parameters. The acquiring training data includes:

[0112] C1. Prepare a training gas mixture containing the target greenhouse gas with known concentrations of each gas component; measure the temperature and pressure of the training gas mixture, and obtain the training absorption spectrum of the training gas mixture in the absorption frequency band of the target greenhouse gas based on the TDLAS technique.

[0113] It should be noted that in order to make the obtained training data more consistent with the actual application scenario, the above-mentioned mixed gas can be proportioned according to the common components and concentrations in the sewage treatment process.

[0114] C2. Acquire the temperature, pressure, gas type, and concentration of each gas of the training mixed gas as training sample information, perform data preprocessing on the training sample information and training absorption spectrum, and use them as input data for the target greenhouse gas compensation model.

[0115] C3. Calculating the natural logarithm of the training absorption spectrum and then performing area integration to obtain the integrated absorbance of the training mixed gas; and determining the compensation coefficient of the target greenhouse gas according to formula (1) based on the integrated absorbance and the concentration of the target greenhouse gas in the training mixed gas, as the true value of the compensation coefficient predicted by the target greenhouse gas compensation model.

[0116] The training sample information of the training mixed gas, the training absorption spectrum and the true value of the compensation coefficient are the training data.

[0117] The optical analysis device provided in this embodiment determines a compensation coefficient based on a target greenhouse gas compensation model, determines the integrated absorbance of the sample based on the absorption spectrum of the sample, and then determines the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient. The target greenhouse gas compensation model built based on a deep learning model deeply explores the interference characteristics of background gases on the absorption spectrum of the target greenhouse gas based on characteristics such as the temperature, pressure, gas type, and concentration of the sample, and makes a reasonable compensation coefficient based on formula (1) to eliminate the cross-interference of the background gas on the target greenhouse gas, thereby effectively ensuring the accuracy of the final concentration of the target greenhouse gas measured by the optical analysis device.

[0118] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, EEPROM, optical storage, etc.) containing computer-usable program code.

[0119] The present invention is described with reference to flowcharts and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions.

[0120] It should be noted that, in the claims, any reference signs placed between brackets shall not be construed as limiting the claims. The word "comprising" does not exclude the presence of components or steps not listed in the claims. The word "a" or "an" preceding a component does not exclude the presence of a plurality of such components. The invention may be implemented by means of hardware comprising several different components and by means of a suitably programmed computer. In claims enumerating several means, several of these means may be embodied by one and the same hardware. The use of the words first, second, third etc. is for convenience only and does not indicate any order. These words may be understood as part of the component name.

[0121] In addition, it should be noted that, in the description of this specification, the description of the terms "one embodiment", "some embodiments", "embodiment", "example", "specific example" or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0122] Although the preferred embodiments of the present invention have been described, those skilled in the art may make additional changes and modifications to these embodiments after learning the basic creative concept. Therefore, the claims should be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0123] Obviously, those skilled in the art may make various modifications and variations to the present invention without departing from the spirit and scope of the present invention. Thus, if such modifications and variations fall within the scope of the claims and their equivalents, the present invention shall also include such modifications and variations.

Claims

1. An online greenhouse gas monitoring system for a sewage treatment process, characterized in that: include: a collection device for collecting samples of gases generated during sewage treatment; A pre-analysis component for obtaining sample information of the sample; The sample information includes: the second temperature, the second pressure, the gas type of the sample, and the measured concentration collected by the concentration sensor corresponding to each gas; an optical analysis device, used for optically analyzing the sample to determine the final concentration of the target greenhouse gas in the sample; The optical analysis includes: obtaining an absorption spectrum of the sample, and determining a compensation coefficient based on the absorption spectrum of the sample and sample information; determining the integrated absorbance of the sample based on the absorption spectrum of the sample; and determining the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient; Determining the integrated absorbance of the sample based on the absorption spectrum of the sample; and determining the final concentration of the target greenhouse gas based on the integrated absorbance and the compensation coefficient, including: Calculating the natural logarithm of the absorption spectrum and then performing area integration to obtain the integrated absorbance of the sample; Based on the integrated absorbance and the compensation coefficient, the final concentration of the target greenhouse gas in the sample is determined according to formula (1); the formula (1) is: C represents the final concentration of the target greenhouse gas in the sample, A represents the integrated absorbance of the sample, T represents the second temperature of the sample, T0 represents the reference temperature, ε represents the compensation coefficient of the target greenhouse gas, S(T) represents the absorption line intensity of the target greenhouse gas corresponding to the central wavelength of the incident laser at the second temperature, L represents the optical path, and P represents the second pressure of the sample; Determining a compensation coefficient based on the absorption spectrum of the sample and sample information includes: Preprocessing the sample information and absorption spectrum of the sample to obtain preprocessed data; Inputting the preprocessed data into a target greenhouse gas compensation model to obtain a compensation coefficient output by the target greenhouse gas compensation model; Wherein, the target greenhouse gas compensation model is a deep learning model with appropriate model parameters obtained based on a pre-training process; The pre-training process includes obtaining training data, and obtaining training data includes: A training gas mixture containing a target greenhouse gas and with known concentrations of each gas component is configured; the temperature and pressure of the training gas mixture are measured, and a training absorption spectrum of the training gas mixture in the absorption frequency band of the target greenhouse gas is obtained based on the TDLAS technique; Acquiring the temperature, pressure, gas type, and concentration of each gas of the training mixed gas as training sample information, and performing data preprocessing on the training sample information and training absorption spectrum to use as input data for a target greenhouse gas compensation model; Taking the natural logarithm of the training absorption spectrum and then performing area integration to obtain the integrated absorbance of the training mixed gas; and determining the compensation coefficient of the target greenhouse gas according to formula (1) based on the integrated absorbance and the concentration of the target greenhouse gas in the training mixed gas, as the true value of the compensation coefficient predicted by the target greenhouse gas compensation model; The training sample information of the training mixed gas, the training absorption spectrum and the true value of the compensation coefficient are the training data.

2. The greenhouse gas online monitoring system according to claim 1, characterized in that: Between the acquisition device and the pre-analysis component, it also includes: The dehydration device is used to dehydrate the sample collected by the collection device to obtain a dry sample.

3. The online monitoring system according to claim 1, characterized in that: The collection device includes: at least one of a sampling gun and a floating gas sampling box; The sampling gun is used to collect gas samples in the gas pipeline during sewage treatment; The floating gas sampling box is used to collect samples from the water-gas interface of the tank during sewage treatment.

4. The online monitoring system according to claim 3, characterized in that: The floating gas sampling box comprises: The cover body is floated on the water surface, and a distance is maintained between the top of the inner side of the cover body and the water surface of the pool body; A sampling tube, one end of which passes through the cover and extends into the interior of the cover; The sampling pump is provided on the sampling tube, and when the sampling pump is in operation, the gas in the cover body is extracted through the sampling tube as a sample; a first flow sensor, disposed on the sampling tube, for obtaining a first flow of the collected sample; a first temperature sensor, configured to obtain a first temperature within the housing; a first pressure sensor, configured to obtain a first pressure within the housing; The first flow rate, the first pressure, and the first temperature are used to determine the concentration of the target greenhouse gas in the enclosure based on the final concentration of the target greenhouse gas.

5. The online monitoring system according to claim 4, characterized in that: The floating gas sampling box further comprises a position adjustment component, which comprises: a rotating base and a slide rail; The rotating base includes a base and a turntable rotatably arranged on the base; the base is fixedly arranged on the bank of the pool; The slide rail includes a track and a slide seat slidably arranged on the track, one end of the track is fixedly connected to the turntable, and the slide seat is fixedly connected to the cover body; When the turntable rotates relative to the base, the cover body is driven to revolve around the turntable; when the slide moves, the cover body is driven to move in a direction parallel to the track.

6. The online monitoring system according to claim 1, characterized in that: The pre-analysis component includes: a temperature sensor, a pressure sensor, and concentration sensors corresponding to multiple gases.

7. The online monitoring system according to claim 6, characterized in that: The optical analysis device comprises: An optical unit, used for obtaining the absorption spectrum of the sample in the absorption frequency band of the target greenhouse gas based on the TDLAS technology; The compensation analysis unit is used to determine a compensation coefficient based on the absorption spectrum of the sample and the sample information; determine the integrated absorbance of the sample based on the absorption spectrum of the sample; and determine the final concentration of the target greenhouse gas in the sample based on the integrated absorbance and the compensation coefficient.

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