Online monitoring method and system for corrosive gas on wall surface of incinerator
Through the multi-wavelength collaborative modulation and multi-spectral fusion model combined with the corrosion prediction model, the corrosion monitoring problem under the synergistic action of hydrogen chloride and hydrogen sulfide in the incinerator is solved, efficient and accurate detection and dynamic regulation of corrosive gases are achieved, and the service life of the incinerator is extended.
Patent Information
- Application Number
- CN202510905636.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-02
- Publication Date
- 2025-09-02
AI Technical Summary
The existing corrosive gas monitoring schemes in incinerators have problems such as low monitoring efficiency, insufficient accuracy and poor real-time performance. Especially when hydrogen chloride and hydrogen sulfide synergistically interact, traditional detection methods cannot accurately characterize the corrosion risk, and spectral interference seriously affects the detection accuracy.
The multi-wavelength collaborative modulation module and multi-spectral fusion model are used to collect gas concentration data and interferection decoupling, and corrosion rate prediction model is used to predict corrosion rates, and real-time monitoring of incinerators is achieved through dynamic regulation and closed-loop control.
It realizes synchronous high-precision detection of multiple groups of corrosive gases, can timely and dynamically regulate combustion parameters, reduce corrosion rate, improve monitoring efficiency and accuracy, and extend the service life of the incinerator.
Smart Images
Figure CN120577261A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of industrial gas detection and corrosion control, and in particular to an on-line monitoring method and system for corrosive gas on the wall surface of an incinerator. Background Art
[0002] In the energy and environmental protection sectors, incinerators, as crucial thermal energy conversion equipment, are widely used in power generation and waste disposal. However, during operation, the metal materials on the heating surfaces are exposed to corrosive gases such as hydrogen chloride, hydrogen sulfide, and carbon monoxide for extended periods of time. This leads to frequent high-temperature corrosion, seriously impacting the reliability and service life of the equipment and even causing safety incidents.
[0003] In related technologies, traditional corrosion monitoring solutions have exposed significant technical defects when dealing with actual complex working conditions, as follows: First, there are the limitations of single-gas detection. Electrochemical sensors typically use the principle of generating electrical signals through chemical reactions between specific electrodes and gases, enabling only intermittent measurement of a single gas. However, corrosive gases such as hydrogen chloride and hydrogen sulfide in incinerators often act synergistically. In particular, when hydrogen chloride and hydrogen sulfide coexist, they accelerate the damage to the protective film on the metal surface, causing the corrosion rate to exhibit a nonlinear superposition effect. Traditional single-gas detection methods are unable to accurately characterize this synergistic effect, making it difficult to fully reflect the true corrosion risk of the equipment, resulting in a serious disconnect between monitoring results and the actual corrosion situation.
[0004] Second, there's the issue of spectral interference. While conventional tunable semiconductor laser absorption spectroscopy systems can simultaneously detect multiple gases, they face significant cross-interference from water vapor absorption lines when detecting hydrogen chloride and hydrogen sulfide. Due to spectral overlap, the water vapor absorption signal can mix with the target gas signal during concentration inversion, resulting in significant deviations in detection results and failing to meet the high-precision detection requirements of industrial production.
[0005] Third, corrosion prediction and protection strategies lack accuracy. Corrosion prediction cannot adapt to the frequent fluctuations in incinerator operating conditions, and prediction accuracy is insufficient to meet actual requirements. Corrosion protection often requires regular human intervention, making it difficult to achieve accurate and timely intelligent protection, and thus failing to ensure the safe operation of the incinerator.
[0006] In summary, the existing incinerator corrosive gas monitoring solutions have technical problems such as low monitoring efficiency, insufficient accuracy and poor real-time performance. Summary of the Invention
[0007] The present invention provides an on-line monitoring method and system for corrosive gas on the wall surface of an incinerator, which are used to solve the defects of the existing incinerator corrosive gas monitoring scheme, such as low monitoring efficiency, insufficient accuracy and poor real-time performance.
[0008] In one aspect, the present invention provides an online monitoring method for corrosive gas on the wall surface of an incinerator, comprising: Synchronously collect gas concentration data corresponding to multiple groups of corrosive gases, and obtain the furnace wall material parameters and operating parameters of the incinerator; Inputting the gas concentration data, the furnace wall material parameters, and the operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model; Determining a corrosion risk level corresponding to the corrosion rate prediction value and a combustion adjustment value corresponding to the corrosion risk level, and dynamically regulating the combustion parameters of the incinerator according to the combustion adjustment value; A rate deviation value between the corrosion rate prediction value and a preset rate threshold is determined, and a closed-loop control is performed on the injection rate of the neutralizing gas based on the rate deviation value.
[0009] According to the method for online monitoring of corrosive gases on the wall of an incinerator provided by the present invention, gas concentration data corresponding to multiple groups of corrosive gases are collected simultaneously, including: Establishing a multi-wavelength cooperative modulation module, and scanning multiple groups of corrosive gases through the multi-wavelength cooperative modulation module to obtain laser signals; A multi-spectral fusion model is established, and interference decoupling of the laser signal is performed using the multi-spectral fusion model to obtain gas concentration data.
[0010] According to the method for online monitoring of corrosive gases on the wall of an incinerator provided by the present invention, the multiple groups of corrosive gases include: hydrogen chloride, hydrogen sulfide and carbon monoxide; The multi-wavelength cooperative modulation module includes: a first laser for scanning hydrogen chloride; a second laser for scanning hydrogen sulfide; a third laser for scanning for carbon monoxide; The scanning controller is used to control the first laser, the second laser and the third laser to operate in sequence according to a preset time division multiplexing control strategy to perform time division scanning on hydrogen sulfide, hydrogen sulfide and carbon monoxide.
[0011] According to the method for online monitoring of corrosive gas on the wall of an incinerator provided by the present invention, the multi-wavelength cooperative modulation module further comprises: a lock-in amplifier; The lock-in amplifier is used to perform signal conditioning and noise suppression processing on the electrical signal corresponding to the scanned laser signal.
[0012] According to the method for online monitoring of corrosive gas on the wall surface of an incinerator provided by the present invention, before performing interference decoupling on the laser signal by using the multi-spectral fusion model, the method further includes: Obtain gas temperature and gas pressure of multiple groups of corrosive gases; The absorption coefficients of the plurality of groups of corrosive gases are corrected according to the gas temperature and the gas pressure.
[0013] According to the method for online monitoring of corrosive gas on the wall of an incinerator provided by the present invention, the corrosion prediction model includes: An input layer, configured to receive the gas concentration data, the furnace wall material parameters, and the operating condition parameters, and perform feature preprocessing on the gas concentration data, the furnace wall material parameters, and the operating condition parameters to obtain preprocessed data; The first hidden layer is used to extract multi-physical field features from the preprocessed data in blocks to obtain multiple target features; The second hidden layer is used to perform deep fusion of the multiple target features to obtain fused features; The output layer is used to perform regression prediction and dynamic range constraint based on the fusion features to obtain a corrosion rate prediction value.
[0014] According to the method for online monitoring of corrosive gas on the wall of an incinerator provided by the present invention, determining the corrosion risk level corresponding to the corrosion rate prediction value includes: If the predicted corrosion rate reaches a first percentage of the preset rate limit, the corrosion risk level is a low risk level; If the predicted corrosion rate reaches a second percentage of the preset rate limit, the corrosion risk level is a medium risk level; If the predicted corrosion rate reaches a third percentage of the preset rate limit, the corrosion risk level is a high risk level; The first percentage value is smaller than the second percentage value, and the second percentage value is smaller than the third percentage value.
[0015] According to the method for online monitoring of corrosive gas on the wall of an incinerator provided by the present invention, a gas absorption pool for collecting corrosive gas is provided near the wall of the incinerator, detection windows are installed at both ends of the gas absorption pool, and a soot blowing device is also installed near the detection windows; The method further comprises: Obtaining the dust concentration value and light intensity attenuation rate around the detection window; Determine whether the dust concentration value is higher than a preset dust concentration threshold value, and obtain a first determination result; Determining whether the light intensity attenuation rate is higher than a preset attenuation rate threshold, and obtaining a second determination result; If the first judgment result is yes and / or the second judgment result is yes, the soot blowing device is controlled to start to blow away the dust around the detection window.
[0016] According to the method for online monitoring of corrosive gas on the wall surface of an incinerator provided by the present invention, the method further comprises: Generating a corrosion rate curve corresponding to a target period according to the corrosion rate prediction value; Calculating the remaining life of the incinerator based on the predicted corrosion rate value; The corrosion rate curve and the remaining life value are used as key contents to generate a corrosive gas monitoring report.
[0017] On the other hand, the present invention also provides an on-line monitoring system for corrosive gas on the wall of an incinerator, comprising: The acquisition module is used to synchronously collect gas concentration data corresponding to multiple groups of corrosive gases and obtain the furnace wall material parameters and operating parameters of the incinerator; A prediction module, configured to input the gas concentration data, the furnace wall material parameters, and the operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model; A dynamic control module is used to determine the corrosion risk level corresponding to the corrosion rate prediction value and the combustion adjustment value corresponding to the corrosion risk level, and dynamically control the combustion parameters of the incinerator according to the combustion adjustment value; The closed-loop control module is used to determine a rate deviation value between the corrosion rate prediction value and a preset rate threshold value, and perform closed-loop control on the injection rate of the neutralizing gas based on the rate deviation value.
[0018] The present invention provides an online monitoring method and system for corrosive gases on the wall of an incinerator. The method and system synchronously collect gas concentration data corresponding to multiple groups of corrosive gases and obtain the furnace wall material parameters and operating parameters of the incinerator. The gas concentration data, furnace wall material parameters, and operating parameters are all input into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model. The corrosion risk level corresponding to the corrosion rate prediction value and the combustion adjustment value corresponding to the corrosion risk level are determined, and the combustion parameters of the incinerator are dynamically regulated according to the combustion adjustment value. The rate deviation value between the corrosion rate prediction value and the preset rate threshold is determined, and the injection rate of the neutralizing gas is closed-loop controlled based on the rate deviation value. Since the corrosion monitoring link can realize the synchronous collection of multiple groups of corrosive gases and can realize more accurate corrosion rate prediction by combining the furnace wall material parameters and operating parameters, the combustion parameters can be dynamically regulated in a timely manner based on the corrosion rate prediction value, and the corrosive gas can be neutralized through closed-loop control, thereby improving the monitoring efficiency, accuracy, and protection timeliness of the corrosive gas monitoring link. BRIEF DESCRIPTION OF THE DRAWINGS
[0019] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0020] Figure 1 Schematic diagram of the process of online monitoring method of corrosive gas on the wall surface of an incinerator provided by an embodiment of the present invention; Figure 2 This is a schematic diagram of the working principle of the multi-wavelength cooperative modulation module; Figure 3 This is a schematic diagram of the driving signal changes in the first 9 seconds of the time division multiplexing timing control process; Figure 4 Schematic diagram of the structure of an online monitoring device for corrosive gas on the wall of an incinerator provided by an embodiment of the present invention; Figure 5 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION
[0021] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.
[0022] The following combination Figures 1 to 5 The detailed scheme of the online monitoring method and system for corrosive gas on the wall surface of an incinerator provided by an embodiment of the present invention is described.
[0023] like Figure 1 As shown, the method for online monitoring of corrosive gas on the wall surface of an incinerator provided by an embodiment of the present invention mainly includes the following steps: Step 110: synchronously collect gas concentration data corresponding to multiple groups of corrosive gases, and obtain the furnace wall material parameters and operating parameters of the incinerator.
[0024] In this embodiment, a multi-wavelength collaborative modulation architecture can be combined with a high-temperature optical path optimization solution to achieve synchronous collection of multiple groups of corrosive gases.
[0025] Specifically, the furnace wall material parameters include: the content of Cr or Al in the furnace wall material, which can be expressed as a mass percentage. The operating parameters include: the cumulative operating time of the incinerator (specifically, the number of hours), operating temperature, operating pressure, and flue gas flow rate.
[0026] Step 120: input the gas concentration data, furnace wall material parameters, and operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model.
[0027] In this embodiment, the corrosion prediction model can be implemented using a multivariate nonlinear regression model built using a back-propagation neural network model as the primary architecture. The hidden layer activation function can be a hyperbolic tangent function, and the output layer can directly output the annualized corrosion rate, i.e., the predicted corrosion rate value. During the training phase, the model can be trained using a training set containing 5,000 sets of corrosion test data under different operating conditions.
[0028] Step 130: Determine the corrosion risk level corresponding to the corrosion rate prediction value and the combustion adjustment value corresponding to the corrosion risk level, and dynamically adjust the combustion parameters of the incinerator according to the combustion adjustment value.
[0029] It is understandable that by dynamically adjusting the combustion parameters of the incinerator in a targeted manner according to different corrosion risk levels, the reliability and safety of the corrosion monitoring link can be further improved.
[0030] Step 140: Determine a rate deviation value between the corrosion rate prediction value and a preset rate threshold value, and perform closed-loop control on the injection rate of the neutralizing gas based on the rate deviation value.
[0031] In this embodiment, by performing closed-loop control on the injection rate of the neutralizing gas, the corrosive gas can be quickly neutralized according to the actual situation, thereby reducing the corrosive damage of the corrosive gas to the incinerator wall, and further improving the response efficiency of the corrosion monitoring link.
[0032] In one embodiment, synchronously collecting gas concentration data corresponding to multiple sets of corrosive gases specifically includes: First, a multi-wavelength cooperative modulation module is established, and multiple groups of corrosive gases are scanned by the multi-wavelength cooperative modulation module to obtain laser signals.
[0033] In a specific implementation, the multiple groups of corrosive gases specifically include: hydrogen chloride, hydrogen sulfide, and carbon monoxide.
[0034] Further, if Figure 2 As shown, the multi-wavelength coordinated modulation module specifically includes: A first laser 210 is used to scan hydrogen chloride; A second laser 220 is used to scan hydrogen sulfide; A third laser 230 is used to scan carbon monoxide; The scanning controller is used to control the first laser, the second laser and the third laser to operate in sequence according to a preset time division multiplexing control strategy to perform time division scanning on hydrogen sulfide, hydrogen sulfide and carbon monoxide.
[0035] In this embodiment, the first laser can use a DFB (Distributed Feedback Laser) with a wavelength of 1742nm. The characteristic absorption peak of hydrogen chloride at 1742nm is scanned by wavelength modulation technology, and combined with second harmonic demodulation technology, a detection sensitivity of 0.1ppm can be achieved.
[0036] The second laser can use a distributed feedback laser with a wavelength of 1590nm, equipped with a dual-frequency modulation (500Hz base frequency / 2kHz high frequency) module, which can suppress the interference of particle scattering noise on the detection signal.
[0037] The third laser can adopt a distributed feedback laser with a wavelength of 1563nm, and achieve a water vapor interference suppression ratio of ≥20dB through spectral filtering technology.
[0038] In some embodiments, integrated heat-resistant sapphire windows, i.e., detection windows, can be installed at both ends of the gas absorption cell to adapt to the high-temperature environment of 800°C under the working conditions of the incinerator; a matching pulse backblowing device, i.e., soot blowing equipment, can be provided. The backblowing pressure can be set to 0.3-0.6MPa, and the pulse period can be set to 5-10 minutes, which can effectively remove dust particles on the surface of the detection window and maintain a low light intensity attenuation rate to ensure long-term detection stability.
[0039] The scanning controller can use time division multiplexing technology to achieve time-sharing detection of the three gas components. Specifically, the timing control cycle can be set to 10ms, and each laser can be activated in sequence through a high-speed switching circuit. The specific timing control process is as follows: 0-3ms: Control the first laser to run and scan its characteristic absorption peak.
[0040] 3-6ms: Control the second laser to run and perform dual-frequency modulation detection.
[0041] 6-9ms: Control the third laser to operate and complete spectrum acquisition after water vapor suppression.
[0042] 9-10ms: The system resets and prepares for the next scanning cycle.
[0043] Figure 3 The figure shows the driving signal changes in the first 9 seconds of the time division multiplexing timing control process, wherein the T1 period is the period corresponding to the control of the operation of the first laser, the T2 period is the period corresponding to the control of the operation of the second laser, and the T3 period is the period corresponding to the control of the operation of the third laser.
[0044] More preferably, the multi-wavelength cooperative modulation module may further include: a phase-locked amplifier.
[0045] The lock-in amplifier is used to perform signal conditioning and noise suppression on the electrical signal corresponding to the scanned laser signal.
[0046] In this embodiment, a phase-locked amplifier with a bandwidth of 10 kHz can be used to synchronously extract the second harmonic signal of each component, and processed by a least squares smoothing filter algorithm (the window width can be set to 21 points) to eliminate high-frequency noise interference, thereby effectively improving the signal-to-noise ratio of the laser signal and ensuring the effective identification of weak absorption signals.
[0047] Then, a multi-spectral fusion model is established, and the laser signal is interfered and decoupled through the multi-spectral fusion model to obtain gas concentration data.
[0048] In this embodiment, a multi-spectral fusion model based on second harmonic (2f) signal feature extraction can be constructed, and the least squares fitting algorithm is used to perform spectral domain decoupling of water vapor cross-absorption interference. By inverting the absorption intensity at the characteristic wavelength, the multi-component cross-interference error is controlled below 1%, thereby achieving accurate detection in complex flue gas environments.
[0049] like Figure 2 As shown, each gas detection group is equipped with two function generators and a temperature controller. Their output signals are summed and then fed into their corresponding lasers. The temperature controllers also control the temperature of the corresponding lasers, ensuring stable operation. The function generator output signals are used to modulate the output characteristics of the corresponding lasers, enabling more accurate detection of gas absorption signals.
[0050] After the three laser signals pass through the fiber coupler, the high-temperature, multi-reflected gas with an effective optical path of over 12 meters is introduced into the gas absorption cell 240. This multi-pass reflection structure enhances the efficiency of light-gas interaction. Specifically, the gas absorption cell 240 has an inlet and an outlet, with the detection gas entering through the inlet and exiting through the outlet. The coupled laser light enters the gas absorption cell 240, where it reflects multiple times, increasing the interaction time and distance between the laser and the gas, thereby improving detection sensitivity. Gas molecules absorb laser light of specific wavelengths, and the degree of absorption is related to the gas concentration.
[0051] The converging lens 250 is primarily used to converge the laser light emitted from the gas absorption cell, ensuring a more concentrated incident light incident on the detector 260, thereby improving the detector's signal reception efficiency. The detector 260 converts the laser signal, after gas absorption, into a measured electrical signal for subsequent signal processing. The lock-in amplifier processes the measured electrical signal output by the detector 260 using a 2f (second harmonic) reference signal input via a reference channel, extracting the second harmonic signal associated with gas absorption, suppressing noise interference, and improving the signal-to-noise ratio. The data processing device 270 receives the harmonic signal output by the lock-in amplifier and performs further analysis and processing, ultimately calculating multiple sets of corrosive gas concentration data.
[0052] In one embodiment, before performing interference decoupling on the laser signal using the multi-spectral fusion model, the method may further include: First, gas temperatures and gas pressures of multiple sets of corrosive gases are acquired.
[0053] Then, the absorption coefficients of the multiple groups of corrosive gases are corrected according to the gas temperature and gas pressure.
[0054] In practical applications, the built-in temperature sensor and pressure sensor can be used to collect gas temperature and gas pressure in real time, and the gas absorption coefficient can be dynamically corrected based on the ideal gas law to compensate for the effects of flue gas pressure fluctuations and temperature gradients on the detection results, thereby effectively reducing gas concentration measurement errors.
[0055] In one embodiment, the corrosion prediction model specifically includes: The input layer is used to receive gas concentration data, furnace wall material parameters and operating parameters, and perform feature preprocessing on the gas concentration data, furnace wall material parameters and operating parameters to obtain preprocessed data.
[0056] In this embodiment, the input layer can receive various input data and perform normalization preprocessing. Specifically, normalization can be used to control the values within the range of 0 to 1. In practical applications, input feature weights can be dynamically adjusted based on real-time operating conditions. For example, the weight of hydrogen chloride concentration can be increased at high temperatures to improve feature sensitivity in extreme environments.
[0057] The first hidden layer is used to extract multi-physical field features from the preprocessed data in blocks to obtain multiple target features.
[0058] In this embodiment, the first hidden layer specifically includes 20 neurons, which perform preliminary mapping on the data input to this layer and capture the basic coupling relationship between gas concentration and corrosion rate, such as the concentration of hydrogen chloride and Cl -The linear correlation of ion corrosion is analyzed. The first 10 neurons focus on the coupling effect of gas concentration and temperature, while the last 10 neurons focus on the interaction between pressure, flow rate, and material composition, enabling block-wise extraction of multi-physics field features. Batch normalization is then used to normalize the output of each neuron, specifically setting the mean to 0 and the variance to 1, which accelerates training convergence and reduces the risk of overfitting.
[0059] In practical applications, the activation function of the first hidden layer can use the tanh function with leakage correction, which can alleviate the saturation problem of the traditional tanh function in the negative interval and retain the small signal characteristics.
[0060] The second hidden layer is used to perform deep fusion of multiple target features to obtain fused features.
[0061] In this embodiment, the second hidden layer includes 15 neurons. By constructing residual connections through the 15 neurons, the original features of the first hidden layer can be retained, avoiding the gradient vanishing problem.
[0062] At the same time, the second hidden layer also introduces a parameter adaptation module to dynamically adjust the neuron weights according to orthogonal experimental data, such as the weight coefficient of temperature on Cl / S corrosion, which is updated in real time through a sliding time window to enhance the influence of key parameters, such as the gas concentration of hydrogen chloride at high temperature and the mass transfer rate of hydrogen sulfide at high flow rate.
[0063] Finally, the second hidden layer can also directly pass on inactivated linear features to enhance the model's ability to fit linear corrosion laws, such as the negative correlation between Cr content in the material and corrosion rate.
[0064] It is not difficult to find that the second hidden layer, by combining the residual block with the attention mechanism, can enable the model to automatically identify the core corrosion driving factors in multi-working condition training data, thereby improving the generalization ability under complex working conditions.
[0065] The output layer is used to perform regression prediction and dynamic range constraint based on the fusion features to obtain the corrosion rate prediction value.
[0066] In this embodiment, the output layer includes a neuron, which can obtain the corrosion rate prediction value through linear transformation, thereby using regression prediction to adapt the continuous value prediction demand.
[0067] More importantly, the output layer can also set the upper and lower limits of the predicted value as constraints based on engineering experience, and add this constraint to the loss function, so as to avoid the output of physically infeasible predicted values through dynamic range constraints, integrate prior knowledge of corrosion dynamics, and improve the output accuracy of the model.
[0068] In one embodiment, determining the corrosion risk level corresponding to the corrosion rate prediction value specifically includes: If the predicted corrosion rate reaches a first percentage value of the preset rate limit, the corrosion risk level is a low risk level.
[0069] If the predicted corrosion rate reaches a second percentage value of the preset rate limit, the corrosion risk level is a medium risk level.
[0070] If the predicted corrosion rate reaches a third percentage of the preset rate limit, the corrosion risk level is a high risk level.
[0071] The first percentage value is smaller than the second percentage value, and the second percentage value is smaller than the third percentage value.
[0072] In this embodiment, the first percentage value may be set to 80%, the second percentage value may be set to 100%, and the third percentage value may be set to 120%.
[0073] It is not difficult to find that by dividing corrosion risks into multiple levels, effective data basis can be provided for subsequent graded responses.
[0074] In one embodiment, a gas absorption pool for collecting corrosive gases is provided near the wall of the incinerator, detection windows are installed at both ends of the gas absorption pool, and a soot blowing device is also installed near the detection windows.
[0075] Furthermore, the above-mentioned method for online monitoring of corrosive gas on the wall surface of the incinerator may also include: The first step is to obtain the dust concentration value and light intensity attenuation rate around the detection window.
[0076] The second step is to determine whether the dust concentration value is higher than a preset dust concentration threshold value to obtain a first determination result.
[0077] In practical applications, the preset dust concentration threshold can be set to 50 mg / m³. That is to say, when the dust concentration value is higher than 50 mg / m³, the presence of a large amount of dust may affect the accuracy of gas concentration detection.
[0078] The third step is to determine whether the light intensity attenuation rate is higher than a preset attenuation rate threshold, and obtain a second determination result.
[0079] In practical applications, the preset attenuation rate threshold can be set to 3% / h. That is to say, when the light intensity attenuation rate is higher than 3% / h, the window light intensity attenuation may affect the accuracy of gas concentration detection.
[0080] In the fourth step, if the first judgment result is yes and / or the second judgment result is yes, the soot blowing device is controlled to start to blow away the dust around the detection window.
[0081] In this embodiment, the soot blowing equipment can purge the area around the detection window by blowing out ammonia gas. During the purge process, the blowing flow rate of ammonia gas can be set to 0.5 to 2.0 Nm³ / h, and the response time can be controlled to be less than 5 seconds, so that the surrounding dust can be removed in time and the stability of the detection optical path can be maintained.
[0082] In one embodiment, the above-mentioned method for online monitoring of corrosive gas on the wall surface of an incinerator may further include: First, based on the corrosion rate prediction value, the corrosion rate curve corresponding to the target period is generated.
[0083] It can be understood that by fitting multiple corrosion rate prediction values obtained during the target period, a corrosion rate curve can be obtained, thereby intuitively showing the change in corrosion rate during the target period.
[0084] At the same time, the remaining life of the incinerator is calculated based on the predicted corrosion rate.
[0085] In practical applications, the current remaining wall thickness and the safety critical wall thickness of the coal incinerator wall can be determined respectively, and then the current remaining wall thickness is subtracted from the safety critical wall thickness to obtain the wall thickness difference. The wall thickness difference is then divided by the corrosion rate prediction value at the corresponding moment to calculate the remaining life value.
[0086] Finally, the corrosion rate curve and remaining life value are used as key contents to generate a corrosive gas monitoring report.
[0087] It is understandable that the corrosive gas monitoring report can intuitively display the corrosion of the incinerator wall caused by corrosive gas during the monitoring process, so that the staff can take timely measures to intervene in the corrosion progress.
[0088] In some embodiments, the injection process of the neutralizing gas can also be controlled according to the concentration exceeding the limit of multiple groups of corrosive gases. For example, when the concentration of hydrogen chloride is higher than 200 ppm, or the concentration of hydrogen sulfide is higher than 50 ppm, or the concentration of carbon monoxide is higher than 500 ppm, the injection of neutralizing gas, such as ammonia, can be controlled. The molar ratio of the injected gas can be set to 1:1.2, and the injection rate of ammonia can be adjusted according to the real-time concentration gradient according to the PID algorithm, thereby effectively reducing the corrosion rate.
[0089] In some embodiments, an early warning message can be issued if any corrosive gas exceeds a specified limit or the corrosion rate exceeds a specified limit. This can be achieved through on-site audio and visual warnings, or through simultaneous remote warnings. For example, the warning message can be sent to an on-site mobile terminal device for remote warning. The warning message specifically includes the device identification information of the incinerator experiencing the anomaly, information about the corrosive gas exceeding a specified limit, and information about the corrosion rate exceeding a specified limit.
[0090] In actual applications, by actively controlling the corrosiveness of acidic gases, the annualized corrosion rate of the incinerator wall was reduced from 1.2 mm / year under normal operating conditions to 0.7 mm / year in a 1,000-hour continuous operation test, thereby effectively extending the service life of the incinerator heating surface and reducing equipment damage caused by gas phase corrosion.
[0091] The following describes in detail the implementation process of the method for online monitoring of corrosive gas on the wall surface of an incinerator provided by this embodiment through a specific example.
[0092] The boiler water-wall area of a 600MW supercritical unit was monitored. The measured flue gas temperature was 800°C ± 30°C, and the dust concentration was 45g / Nm³. Historical data showed an annualized corrosion rate of 1.5mm / year for 20# carbon steel in this area, with a typical maintenance period of six months.
[0093] A multi-wavelength collaborative modulation module, specifically a three-wavelength laser detection unit at 1742nm, 1590nm, and 1563nm, was deployed in the aforementioned area. This module captured the gas concentration data for three corrosive gases: hydrogen chloride (0.1ppm), hydrogen sulfide (0.5ppm), and carbon monoxide (1ppm) via a multi-pass gas absorption cell with a 12m optical path. Time-division multiplexing (TDM) timing control (with a 10ms period) was used to eliminate spectral overlap interference, resulting in a measured cross-interference error of 0.8%.
[0094] At the same time, an integrated wall temperature sensor (with an accuracy of ±1°C) and a pressure transmitter (with a pressure measurement range of 0-10 MPa) monitor operating parameters. Gas concentration data, furnace wall material parameters, and operating parameters are input into a corrosion prediction model for real-time corrosion prediction, resulting in an annualized corrosion rate (the predicted corrosion rate value). When a sudden increase in hydrogen chloride concentration to 220 ppm or hydrogen sulfide concentration to 55 ppm is detected, the corrosion prediction model updates its parameters within 30 seconds, predicting a jump in the annualized corrosion rate from a baseline of 0.8 mm / year to 1.3 mm / year.
[0095] In addition, if the monitored gas concentration data exceeds the standard or the corrosion rate exceeds the limit, the DCS (Distributed Control System) will trigger the operation of the ammonia injection device and adjust the injection rate to 1.8Nm³ / h (molar ratio of 1:1.15) according to the PID algorithm. It can reduce the hydrogen chloride concentration to 180ppm within 30 minutes. The oxygen content in the combustion zone can also be adjusted (±0.5%) to reduce the corrosion rate to 0.9mm / year.
[0096] After 1,200 hours of continuous operation using the above monitoring method, the incinerator's measured metal loss was 0.12mm, a 42% reduction compared to unprotected conditions. This effectively extends the incinerator's service life and reduces maintenance costs during operation.
[0097] Based on the same general inventive concept, the present invention also protects an online monitoring system for corrosive gases on the wall of an incinerator. The online monitoring system for corrosive gases on the wall of an incinerator provided by the present invention is described below. The online monitoring system for corrosive gases on the wall of an incinerator described below and the online monitoring method for corrosive gases on the wall of an incinerator described above can be referred to each other.
[0098] like Figure 4 As shown, the incinerator wall corrosive gas online monitoring system provided by the embodiment of the present invention specifically includes: The acquisition module 310 is used to synchronously collect gas concentration data corresponding to multiple groups of corrosive gases, and obtain the furnace wall material parameters and operating parameters of the incinerator.
[0099] The prediction module 320 is used to input the gas concentration data, furnace wall material parameters and operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model.
[0100] The dynamic control module 330 is used to determine the corrosion risk level corresponding to the corrosion rate prediction value and the combustion adjustment value corresponding to the corrosion risk level, and dynamically control the combustion parameters of the incinerator according to the combustion adjustment value.
[0101] The closed-loop control module 340 is used to determine a rate deviation value between the corrosion rate prediction value and a preset rate threshold value, and perform closed-loop control on the injection rate of the neutralizing gas based on the rate deviation value.
[0102] Regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the relevant method and will not be elaborated again here.
[0103] Figure 5 It is a structural diagram of an electronic device provided by an embodiment of the present invention.
[0104] like Figure 5 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430, and a communication bus 440, wherein the processor 410, the communication interface 420, and the memory 430 communicate with each other via the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute an online monitoring method for corrosive gas on the wall of an incinerator, the method comprising: synchronously collecting gas concentration data corresponding to multiple sets of corrosive gases and obtaining the furnace wall material parameters and operating parameters of the incinerator; inputting the gas concentration data, furnace wall material parameters, and operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model; determining a corrosion risk level corresponding to the corrosion rate prediction value and a combustion adjustment value corresponding to the corrosion risk level, and dynamically regulating the combustion parameters of the incinerator according to the combustion adjustment value; determining a rate deviation value between the corrosion rate prediction value and a preset rate threshold value, and performing closed-loop control on the injection rate of the neutralizing gas based on the rate deviation value.
[0105] Furthermore, the logic instructions in the aforementioned memory 430 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product, stored in a storage medium, includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.
[0106] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute an online monitoring method for corrosive gases on the wall of an incinerator, which method includes: synchronously collecting gas concentration data corresponding to multiple groups of corrosive gases, and obtaining the furnace wall material parameters and operating parameters of the incinerator; inputting the gas concentration data, furnace wall material parameters and operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model; determining the corrosion risk level corresponding to the corrosion rate prediction value and the combustion adjustment value corresponding to the corrosion risk level, and dynamically regulating the combustion parameters of the incinerator according to the combustion adjustment value; determining the rate deviation value between the corrosion rate prediction value and the preset rate threshold, and performing closed-loop control on the injection rate of the neutralizing gas based on the rate deviation value.
[0107] On the other hand, the present invention also provides a non-transient computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements an online monitoring method for corrosive gases on the wall of an incinerator, the method comprising: synchronously collecting gas concentration data corresponding to multiple groups of corrosive gases, and obtaining the furnace wall material parameters and operating condition parameters of the incinerator; inputting the gas concentration data, furnace wall material parameters and operating condition parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model; determining the corrosion risk level corresponding to the corrosion rate prediction value and the combustion adjustment value corresponding to the corrosion risk level, and dynamically regulating the combustion parameters of the incinerator according to the combustion adjustment value; determining a rate deviation value between the corrosion rate prediction value and a preset rate threshold, and performing closed-loop control on the injection rate of the neutralizing gas based on the rate deviation value.
[0108] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.
[0109] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.
[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.
Claims
1. A method for online monitoring of corrosive gas on the wall of an incinerator, characterized in that: include: Synchronously collect gas concentration data corresponding to multiple groups of corrosive gases, and obtain the furnace wall material parameters and operating parameters of the incinerator; Inputting the gas concentration data, the furnace wall material parameters, and the operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model; Determining a corrosion risk level corresponding to the corrosion rate prediction value and a combustion adjustment value corresponding to the corrosion risk level, and dynamically regulating the combustion parameters of the incinerator according to the combustion adjustment value; A rate deviation value between the corrosion rate prediction value and a preset rate threshold is determined, and a closed-loop control is performed on the injection rate of the neutralizing gas based on the rate deviation value.
2. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 1, characterized in that: Synchronously collect gas concentration data corresponding to multiple groups of corrosive gases, including: Establishing a multi-wavelength cooperative modulation module, and scanning multiple groups of corrosive gases through the multi-wavelength cooperative modulation module to obtain laser signals; A multi-spectral fusion model is established, and interference decoupling of the laser signal is performed using the multi-spectral fusion model to obtain gas concentration data.
3. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 2, characterized in that: The multiple groups of corrosive gases include: hydrogen chloride, hydrogen sulfide and carbon monoxide; The multi-wavelength cooperative modulation module includes: a first laser for scanning hydrogen chloride; a second laser for scanning hydrogen sulfide; a third laser for scanning for carbon monoxide; The scanning controller is used to control the first laser, the second laser and the third laser to operate in sequence according to a preset time division multiplexing control strategy to perform time division scanning on hydrogen sulfide, hydrogen sulfide and carbon monoxide.
4. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 3, characterized in that: The multi-wavelength cooperative modulation module further includes: a lock-in amplifier; The lock-in amplifier is used to perform signal conditioning and noise suppression processing on the electrical signal corresponding to the scanned laser signal.
5. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 2, characterized in that: Before performing interference decoupling on the laser signal through the multi-spectral fusion model, the method further includes: Obtain gas temperature and gas pressure of multiple groups of corrosive gases; The absorption coefficients of the plurality of groups of corrosive gases are corrected according to the gas temperature and the gas pressure.
6. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 1, characterized in that: The corrosion prediction model includes: An input layer, configured to receive the gas concentration data, the furnace wall material parameters, and the operating condition parameters, and perform feature preprocessing on the gas concentration data, the furnace wall material parameters, and the operating condition parameters to obtain preprocessed data; The first hidden layer is used to extract multi-physical field features from the preprocessed data in blocks to obtain multiple target features; The second hidden layer is used to perform deep fusion of the multiple target features to obtain fused features; The output layer is used to perform regression prediction and dynamic range constraint based on the fusion features to obtain a corrosion rate prediction value.
7. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 1, characterized in that: Determining the corrosion risk level corresponding to the corrosion rate prediction value includes: If the predicted corrosion rate reaches a first percentage of the preset rate limit, the corrosion risk level is a low risk level; If the predicted corrosion rate reaches a second percentage of the preset rate limit, the corrosion risk level is a medium risk level; If the predicted corrosion rate reaches a third percentage of the preset rate limit, the corrosion risk level is a high risk level; The first percentage value is smaller than the second percentage value, and the second percentage value is smaller than the third percentage value.
8. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 1, characterized in that: A gas absorption pool for collecting corrosive gases is provided near the wall of the incinerator. Detection windows are installed at both ends of the gas absorption pool, and a soot blowing device is also installed near the detection windows. The method further comprises: Obtaining the dust concentration value and light intensity attenuation rate around the detection window; Determine whether the dust concentration value is higher than a preset dust concentration threshold value, and obtain a first determination result; Determining whether the light intensity attenuation rate is higher than a preset attenuation rate threshold, and obtaining a second determination result; If the first judgment result is yes and / or the second judgment result is yes, the soot blowing device is controlled to start to blow away the dust around the detection window.
9. The method for online monitoring of corrosive gas on the wall of an incinerator according to claim 1, characterized in that: The method further comprises: Generating a corrosion rate curve corresponding to a target period according to the corrosion rate prediction value; Calculating the remaining life of the incinerator based on the predicted corrosion rate value; The corrosion rate curve and the remaining life value are used as key contents to generate a corrosive gas monitoring report.
10. An on-line monitoring system for corrosive gas on the wall of an incinerator, characterized in that: include: The acquisition module is used to synchronously collect gas concentration data corresponding to multiple groups of corrosive gases and obtain the furnace wall material parameters and operating parameters of the incinerator; A prediction module, configured to input the gas concentration data, the furnace wall material parameters, and the operating parameters into a pre-built corrosion prediction model to obtain a corrosion rate prediction value output by the corrosion prediction model; A dynamic control module is used to determine the corrosion risk level corresponding to the corrosion rate prediction value and the combustion adjustment value corresponding to the corrosion risk level, and dynamically control the combustion parameters of the incinerator according to the combustion adjustment value; The closed-loop control module is used to determine a rate deviation value between the corrosion rate prediction value and a preset rate threshold value, and perform closed-loop control on the injection rate of the neutralizing gas based on the rate deviation value.