A push-focus temperature measurement system based on background compensation model

Abstract

The invention relates to the technical field of measurement of a coke pushing process, and specifically discloses a coke pushing temperature measurement system based on a background compensation model, which is used to solve the problem that the background radiation intensity is changed in a local high-temperature area during the coke pushing process, thereby interfering with the uniformity and accuracy of measurement by a temperature measurement sensor. The system comprises an infrared colorimetric imaging probe, an infrared thermometer, a background radiation monitoring sensor, a pressure sensor, an embedded processor, a cooling air pump, an on-site power distribution box, a signal transmitting device and a central control module, wherein the infrared colorimetric imaging probe, the infrared thermometer, the background radiation monitoring sensor and the pressure sensor are all connected to the embedded processor, the embedded processor is connected to the signal transmitting device, and the signal transmitting device is connected to the central control module; by acquiring multi-angle temperature data in real time, interference is eliminated based on friction heat calculation and a wavelet transform compensation model, an image processing algorithm is used to monitor the hot spot area of ​​a coke oven, and multi-angle data is integrated to improve the measurement accuracy.

Description

Technical Field

[0001] The present invention relates to the technical field of focusing process measurement, and more specifically, to a focusing process temperature measurement system based on a background compensation model. Background Art

[0002] Coke oven is an important production equipment in coking plant, which includes furnace body, furnace top, carbonization chamber, combustion chamber and coke extraction system, wherein the coke extraction system includes coke pusher, coke intercepting car and coke quenching tower. After carbonization is completed, the coke is pushed out of the carbonization chamber by coke pusher, enters the coke intercepting car, and then is sent to the coke quenching tower for cooling. Proper temperature control during coke pushing can ensure the physical and chemical properties of coke, reduce energy consumption, improve coke production efficiency, reduce overheating and overcooling, and reduce waste gas emissions. However, due to the complex high temperature environment and rapidly changing temperature field in the furnace, the temperature measurement results are easily affected by the environmental background radiation, resulting in measurement errors. The traditional single measurement method is difficult to provide stable and accurate temperature data in such a complex environment. The combination of modern infrared colorimetric imaging technology and infrared temperature measurement technology has improved the accuracy of temperature measurement. However In the high-dynamic, high-interference coke pushing process, these technologies still face challenges: in the coke pushing process, friction occurs between the coke and the carbonization chamber wall and the coke pushing equipment contact area. Frictional heat will cause local high-temperature areas to form in the contact area. These local high-temperature areas will change the original temperature distribution and change the background radiation intensity. The formation of local high-temperature areas causes the temperature sensor to receive different radiation energies at different positions, affecting the uniformity and accuracy of temperature measurement. At the same time, frictional heat causes the surface temperature of the coke to rise, increasing the intensity of infrared radiation. High-temperature coke will produce stronger infrared radiation signals. These signals are superimposed on the background radiation, increasing the complexity of the temperature measurement system. Moreover, as the coke moves, the heat and influence generated by friction are dynamic processes that change with time. The radiation intensity in the high-temperature area changes continuously. This dynamic interference brings challenges to background radiation compensation. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a coke pushing temperature measurement system based on a background compensation model, which obtains multi-angle temperature data in real time, eliminates interference through friction heat calculation and wavelet transform compensation model, uses image processing algorithm to monitor the hot spot area of ​​the coke oven, integrates multi-angle data, improves measurement accuracy and consistency, optimizes coke production process, improves efficiency and quality, and reduces energy consumption and exhaust emissions.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A coke pushing and temperature measurement system based on a background compensation model comprises an infrared colorimetric imaging probe, an infrared thermometer, a background radiation monitoring sensor, a pressure sensor, an embedded processor, a cooling air pump, an on-site power distribution box, a signal transmitting device and a central control module. The installation angles of the infrared colorimetric imaging probe and the infrared thermometer at the center point and edge line of the top of the carbonization chamber are 90° and 45° respectively, and the installation angles at the middle position, the upper position and the lower position of the side wall of the carbonization chamber are 0°, 30° and 45° respectively. The installation angles above the coke pushing channel, the side wall and the oblique upper position are 90°, 0° and 45° respectively. At the exit position of the coke pushing channel, the infrared colorimetric imaging probe and the infrared thermometer are 90°, 0° and 45° respectively. The installation angles in front and above are 0° and 90° respectively. The installation positions in front and above the entrance of the quenching tower are 0° and 90° respectively. The relative reference planes of all angles are horizontal planes. The embedded processor receives infrared images and temperature data from multiple angles, calculates the amount of heat generated by friction, performs background compensation on the original temperature data based on coke radiation, background radiation and frictional heat, uses image processing algorithms to identify local hot spots in the coke oven, performs key monitoring and fine compensation on the hot spots, fuses the compensated multi-angle data, outputs the optimized temperature, and transmits the processed data to the central control module.

[0006] As a further solution of the present invention, the infrared colorimetric imaging probe, the infrared thermometer, the background radiation monitoring sensor, and the pressure sensor are connected to the embedded processor, the embedded processor is connected to the signal transmitting device, the signal transmitting device is connected to the central control module, the cooling air pump is connected to the infrared colorimetric imaging probe and the infrared thermometer through the cooling air pipe, and the on-site distribution box is connected to the infrared colorimetric imaging probe, the infrared thermometer, the background radiation monitoring sensor, the pressure sensor, the embedded processor, the cooling air pump, the signal transmitting device, and the central control module.

[0007] As a further solution of the present invention, a background radiation monitoring sensor is located in the carbonization chamber to collect background radiation data in real time and transmit the collected data to an embedded processor. A pressure sensor is located at a position where a push rod of a coke pusher contacts the coke cake.

[0008] In the coke oven coke pushing process, accurate calculation of frictional heat generation helps to accurately capture the temperature changes between the coke cake and the coke pushing channel and optimize the temperature compensation model. Real-time monitoring of parameters such as friction coefficient, normal force, coke pushing speed and time through embedded processors can improve the accuracy and consistency of temperature data, realize real-time monitoring and control of the coke pushing process, thereby avoiding local overheating, ensuring the stability of the production process, and improving coke quality and production efficiency.

[0009] As a further solution of the present invention, in the embedded processor, the formula for calculating the frictional heat is:

[0010] ;

[0011] Where: The friction between the coke cake and the coke pushing channel generates heat. is the friction coefficient between the coke cake and the coke pushing channel, which is measured through experiments. is the normal force, which is obtained by monitoring the pressure sensor. The focus pushing speed is obtained through the central control module. It is the focus pushing time, obtained through the central control module.

[0012] Temperature measurement during the coke pushing process of the coke oven is easily disturbed by background radiation and frictional heat, resulting in a decrease in the accuracy of the original temperature data. By building a background radiation compensation model based on coke radiation, background radiation and frictional heat in the embedded processor, the original temperature data can be effectively compensated to eliminate the influence of background radiation and frictional heat. The dynamic adjustment of the optimization parameters ensures that the compensation model can adapt to changes in actual working conditions in real time, thereby improving the accuracy and consistency of temperature measurement, ensuring the stability of the production process and improving the quality of coke.

[0013] As a further solution of the present invention, in an embedded processor, a background radiation compensation model for background compensation of the original temperature data based on coke radiation, background radiation and frictional heat generation is based on the original temperature data, minus the ratio of the coke cake radiation rate to the background radiation rate multiplied by the optimized processing value of the background radiation intensity and frictional heat generation. In the background radiation compensation model, the temperature formula after compensation is:

[0014] ;

[0015] Where: is the temperature collection angle index, For the The compensated temperature at each angle, For the The original temperature data of angles, , are the emissivity of the coke and the emissivity of the background, respectively, and are set according to actual needs. is the background radiation intensity, which is obtained by monitoring the background radiation monitoring sensor. , To optimize the parameters, the gradient descent parameter optimization method was used, and dynamic adjustments were made based on real-time monitoring of the coke cake and furnace wall temperatures and the background radiation intensity.

[0016] As a further solution of the present invention, in the background radiation compensation model of the embedded processor, the optimization parameter , The acquisition strategy is:

[0017] Step 1: Initial parameter setting: Analyze the spectral characteristics of the relationship between coke cake temperature and background radiation intensity through Fourier transform, extract the main frequency components of background radiation intensity and coke cake temperature, and use the amplitude of its main frequency components as the optimization parameter The initial value of Fitting the relationship between frictional heat generation and background radiation intensity, As an optimization parameter The initial value of

[0018] Step 2, parameter optimization algorithm: use gradient descent method to iterate parameters and cross-validate the generalization ability of optimized parameters;

[0019] Step three: real-time adjustment and adaptive optimization: monitor the coke cake temperature and background radiation intensity in real time, establish a feedback control system based on the actual measured data, and continuously optimize the parameters based on the adaptive gradient algorithm.

[0020] During the coke pushing process of the coke oven, when the temperature of the coke cake surface is monitored, due to the uneven temperature distribution on the coke cake surface, there are hot spots and large temperature gradients in local areas. The wavelet transform coefficients and wavelet basis functions are used to perform local fine compensation for each sub-area. The time-frequency localization characteristics of the wavelet transform can be fully utilized to accurately capture and compensate for local temperature changes, thereby improving the accuracy of temperature measurement. Selecting Daubechies wavelet as the wavelet basis function can better handle mutations and details in the temperature signal, making the compensated temperature data smoother and more accurate, thereby optimizing the temperature control of the coke production process and improving production efficiency and product quality.

[0021] As a further solution of the present invention, in an embedded processor, the coke cake surface is divided into several sub-regions, and the data in each region is processed separately. The coordinates of each region are ,in is the sub-region index, , Sub-areas The horizontal and vertical coordinates of the coke cake are used to identify and track the local hot spot area on the coke cake surface, and local fine compensation is performed on the sub-area based on the wavelet transform coefficients and wavelet basis functions. The formula for local fine compensation is:

[0022] ;

[0023] Where: For time, For the The local fine compensation temperature of each sub-region, For the The initial measured temperature of each sub-region, is the wavelet transform coefficient. The sub-region temperature data is decomposed by wavelet transform to obtain wavelet transform coefficients of different scales and positions. , They are scale parameters and translation parameters, which are set according to requirements. About The wavelet basis function is Daubechies wavelet.

[0024] As a further solution of the present invention, in an embedded processor, the wavelet transform coefficient formula in the local fine compensation formula is:

[0025] ;

[0026] Where: is the wavelet basis function The complex conjugate of .

[0027] As a further solution of the present invention, in an embedded processor, the formula for fusing the compensated multi-angle data is:

[0028] ;

[0029] Where: is the comprehensive temperature after fusion, For the The compensation temperature weight of each angle can be set according to the requirements. For the The compensation temperature of the angle, is the total number of angle indices.

[0030] Compared with the prior art, the technical effect of the system proposed by the present invention is as follows: the present invention obtains temperature data from multiple angles in real time, performs fine compensation, calculates the frictional heat and the temperature compensation model based on wavelet transform, effectively eliminates the interference of background radiation and frictional heat on temperature measurement, utilizes image processing algorithm to identify and monitor local hot spots in the coke oven, and fuses the compensated multi-angle data, thereby improving the accuracy and consistency of temperature measurement, thereby optimizing the coke production process, ensuring the physical and chemical properties of coke, reducing energy consumption and waste gas emissions, and significantly improving the production efficiency and quality of coke. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The present invention is a block diagram of a push-focus temperature measurement system based on a background compensation model. DETAILED DESCRIPTION

[0032] The following will be combined with the accompanying drawings in the present invention to clearly and completely describe the technical solution in the present invention. Obviously, the described technical solution is only a part of the present invention but not all of it. Based on the technical solution in the present invention, all other technical solutions obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0033] like Figure 1 As shown, a coke pushing and temperature measurement system based on a background compensation model proposed by the present invention comprises an infrared colorimetric imaging probe, an infrared thermometer, a background radiation monitoring sensor, a pressure sensor, an embedded processor, a cooling air pump, an on-site distribution box, a signal transmitter and a central control module. The infrared colorimetric imaging probe, the infrared thermometer, the background radiation monitoring sensor and the pressure sensor are connected to the embedded processor, the embedded processor is connected to the signal transmitter, the signal transmitter is connected to the central control module, the cooling air pump is connected to the infrared colorimetric imaging probe and the infrared thermometer through a cooling air pipe, the on-site distribution box is connected to the infrared colorimetric imaging probe, the infrared thermometer, the background radiation monitoring sensor, the pressure sensor, the embedded processor, the cooling air pump, the signal transmitter and the central control module, the embedded processor receives infrared images and temperature data from multiple angles, calculates the friction heat generation, performs background compensation on the original temperature data based on coke radiation, background radiation and friction heat generation, uses an image processing algorithm to identify local hot spots in the coke oven, performs key monitoring and fine compensation on the hot spots, fuses the compensated multi-angle data, outputs the optimized temperature, and transmits the processed data to the central control module.

[0034] Among them, the infrared colorimetric imaging probe obtains the infrared image of the coke surface, provides the temperature distribution map, and is connected to the embedded processor to obtain the infrared image data. The infrared thermometer accurately measures the temperature of the coke and the furnace wall, is connected to the embedded processor, and provides the temperature measurement data. The background radiation monitoring sensor monitors the background radiation intensity in the coke oven environment, is connected to the embedded processor, and provides the background radiation data. The pressure sensor monitors the normal force between the coke and the coke pushing channel, is connected to the embedded processor, and provides the normal force data. The embedded processor receives and processes the infrared images, temperature data, background radiation data, and pressure data from multiple angles, calculates the friction heat and performs temperature compensation, is connected to the infrared colorimetric imaging probe, the infrared thermometer, the background radiation monitoring sensor, and the pressure sensor, is connected to the signal transmitter, and transmits the processed data. The cooling air pump provides cooling for the infrared colorimetric imaging probe and the infrared thermometer to ensure the normal operation of the equipment, and is connected to the infrared colorimetric imaging probe and the infrared thermometer through the cooling air pipe. The on-site power distribution box provides power to each component in the system and is connected to the infrared colorimetric imaging probe, infrared thermometer, background radiation monitoring sensor, pressure sensor, embedded processor, cooling air pump, signal transmitter, and central control module. The signal transmitter transmits the data processed by the embedded processor to the central control module and is connected to the embedded processor and the central control module. The central control module receives and processes the data from the signal transmitter, conducts further analysis and control, adjusts the parameters of the coke pushing process, provides an objective basis for the fire adjustment, and is connected to the signal transmitter to receive the optimized temperature data.

[0035] It should be noted that the installation angles of the infrared colorimetric imaging probe and the infrared thermometer at the center point and edge line of the top of the carbonization chamber are 90° and 45° respectively, the installation angles at the middle, upper and lower positions of the side wall of the carbonization chamber are 0°, 30° and 45° respectively, the installation angles above the coke pushing channel, on the side wall and obliquely above are 90°, 0° and 45° respectively, the installation angles directly in front of and above the exit of the coke pushing channel are 0° and 90° respectively, the installation angles directly in front of and above the entrance of the coke quenching tower are 0° and 90° respectively, and the relative reference planes of all angles are horizontal planes.

[0036] Top of the carbonization chamber: Installing the sensor vertically at the center point of the top of the carbonization chamber can directly monitor the overall temperature distribution inside the carbonization chamber, especially the temperature of the central area, which is crucial to ensure the uniformity of the carbonization process; installing the sensor at an oblique angle on the edge line of the top of the carbonization chamber can capture the temperature changes in the edge area of ​​the carbonization chamber, ensure the uniformity of the temperature distribution, and avoid overheating or overcooling at the edge. Side wall of the carbonization chamber: Installing the sensor horizontally in the middle position can accurately monitor the temperature in the middle of the side wall, which is very important for understanding the temperature distribution in the middle of the carbonization chamber; installing the sensor at an oblique angle on the upper part of the side wall can monitor the temperature changes at high places, reflect the upward diffusion of heat, and ensure the uniformity of the carbonization process; installing the sensor at an oblique angle on the lower part of the side wall can capture the temperature changes at low places, understand the distribution of heat in the lower part, and prevent overheating or overcooling in the lower area. Coke pushing channel: vertical installation on the top can monitor the temperature above the coke during the coke pushing process to ensure the vertical distribution of temperature data is accurate; horizontal installation on the side wall can monitor the temperature of the side wall to understand the influence of side friction heat generation during the coke pushing process; installation at an oblique angle above can capture the temperature change at an oblique angle to comprehensively reflect the temperature distribution during the coke pushing process. Coke pushing channel exit position: horizontal installation in front can accurately monitor the temperature of the coke when it is pushed out of the carbonization chamber to ensure the control of the coke temperature during the pushing process; vertical installation above the coke pushing channel exit can monitor the temperature above the exit to ensure the uniform temperature of the coke when it is pushed out. Coke quenching tower entrance position: horizontal installation in front of the coke quenching tower entrance can monitor the temperature of the coke before it enters the coke quenching tower to ensure the effective control of the coke quenching process: vertical installation above the coke quenching tower entrance can capture the temperature change above the coke to ensure the uniformity of temperature distribution.

[0037] It should be noted that the background radiation monitoring sensor is located in the carbonization chamber, collects background radiation data in real time, and transmits the collected data to the embedded processor, and the pressure sensor is located at the position where the push rod of the coke pusher contacts the coke cake.

[0038] The background radiation monitoring sensor is located at the center point of the top of the carbonization chamber. It can directly monitor the overall background radiation intensity inside the carbonization chamber, capture the average radiation in the carbonization chamber, and reflect the background radiation environment of the entire carbonization chamber. The background radiation monitoring sensor is located in the middle of the side wall of the carbonization chamber, and can monitor the radiation intensity of the side wall. The middle of the side wall is a relatively stable position that is not easily affected by local hot spots, which helps to provide stable background radiation data. By installing background radiation monitoring sensors at the center point of the top of the carbonization chamber and the middle of the side wall, the background radiation intensity inside the carbonization chamber can be accurately captured. These positions can reflect the radiation conditions in different areas of the carbonization chamber, ensuring the comprehensiveness and accuracy of the data; the middle position of the side wall is relatively stable, not easily affected by local hot spots, and can provide stable background radiation data. This helps reduce data fluctuations and provides a reliable background radiation reference; real-time collection and transmission of background radiation data to the embedded processor can support real-time compensation of temperature data. The embedded processor uses these real-time data to dynamically adjust the temperature compensation model, improve compensation accuracy, and ensure the accuracy of measurement data; accurate background radiation data helps optimize temperature control. By eliminating the interference of background radiation on temperature measurement, the actual temperature of coke can be more accurately monitored, thereby optimizing the carbonization and coke pushing process, improving production efficiency and product quality; installing background radiation monitoring sensors inside the carbonization chamber can timely capture changes in radiation intensity, reduce the error of background radiation on temperature measurement, ensure the authenticity and accuracy of temperature data, and help achieve fine temperature control. Installing the pressure sensor at the position where the push rod of the coke pusher contacts the coke cake can accurately and real-time measure the thrust, thereby accurately calculating the frictional heat generation, optimizing the temperature compensation model, and improving the accuracy of temperature measurement, which not only ensures the stability of the coke pushing process, optimizes the quality and production efficiency of coke, but also reduces energy consumption and achieves a more efficient and stable coke production process.

[0039] It should be noted that in an embedded processor, the formula for calculating the frictional heat is:

[0040] ;

[0041] Where: The friction between the coke cake and the coke pushing channel generates heat. is the friction coefficient between the coke cake and the coke pushing channel, which is measured through experiments. is the normal force, which is obtained by monitoring the pressure sensor. The focus pushing speed is obtained through the central control module. It is the focus pushing time, obtained through the central control module.

[0042] Accurate calculation of frictional heat can optimize the temperature compensation model, improve the accuracy of temperature measurement, ensure the stability of the coke pushing process, reduce coke breakage, improve product quality, and achieve efficient energy utilization and optimization of the production process.

[0043] It should be noted that in the embedded processor, the background radiation compensation model for background compensation of the original temperature data based on coke radiation, background radiation and frictional heat is based on the original temperature data, minus the ratio of the coke cake radiation rate to the background radiation rate multiplied by the optimized processing value of the background radiation intensity and frictional heat. In the background radiation compensation model, the temperature formula after compensation is:

[0044] ;

[0045] Where: is the temperature collection angle index, For the The compensated temperature at each angle, For the The original temperature data of angles, , are the emissivity of the coke and the emissivity of the background, respectively, and are set according to actual needs. is the background radiation intensity, which is obtained by monitoring the background radiation monitoring sensor. , To optimize the parameters, the gradient descent parameter optimization method was used, and dynamic adjustments were made based on real-time monitoring of the coke cake and furnace wall temperatures and the background radiation intensity.

[0046] The background radiation compensation model is set up to eliminate the interference of background radiation and frictional heat on temperature measurement during the coke pushing process of the coke oven, thereby improving the accuracy of temperature measurement. The compensation temperature formula can effectively correct the temperature error caused by background radiation and frictional heat by subtracting the ratio of the coke cake emissivity to the background emissivity from the original temperature data and multiplying it by the optimized processing value of the background radiation intensity and frictional heat. It can dynamically adjust the optimization parameters and adapt to the changes in the coke cake and furnace wall temperature and the background radiation intensity in real time, thereby ensuring that the compensated temperature data is more accurate and reliable, and improving the stability of the coke production process and product quality.

[0047] It should be noted that in the background radiation compensation model of the embedded processor, the optimization parameters , The acquisition strategy is:

[0048] Step 1: Initial parameter setting: Analyze the spectral characteristics of the relationship between coke cake temperature and background radiation intensity through Fourier transform, extract the main frequency components of background radiation intensity and coke cake temperature, and use the amplitude of its main frequency components as the optimization parameter The initial value of Fitting the relationship between frictional heat generation and background radiation intensity, As an optimization parameter The initial value of

[0049] Step 2, parameter optimization algorithm: use gradient descent method to iterate parameters and cross-validate the generalization ability of optimized parameters;

[0050] Step three: real-time adjustment and adaptive optimization: monitor the coke cake temperature and background radiation intensity in real time, establish a feedback control system based on the actual measured data, and continuously optimize the parameters based on the adaptive gradient algorithm.

[0051] By analyzing the initial parameter setting through Fourier transform, the spectral characteristics of the background radiation intensity and the coke cake temperature can be accurately extracted to provide reliable initial values; the gradient descent method is used for parameter optimization to ensure the accuracy and generalization ability of the model; real-time adjustment and adaptive optimization can dynamically update parameters according to real-time data to ensure the accuracy and flexibility of the compensation model, thereby improving the reliability of temperature measurement and the quality and efficiency of coke production.

[0052] It should be noted that in the embedded processor, the coke cake surface is divided into several sub-areas, and the data in each area is processed separately. The coordinates of each area are ,in is the sub-region index, , Sub-areas The horizontal and vertical coordinates of the coke cake are used to identify and track the local hot spot area on the coke cake surface, and local fine compensation is performed on the sub-area based on the wavelet transform coefficients and wavelet basis functions. The formula for local fine compensation is:

[0053] ;

[0054] Where: For time, For the The local fine compensation temperature of each sub-region, For the The initial measured temperature of each sub-region, is the wavelet transform coefficient. The sub-region temperature data is decomposed by wavelet transform to obtain wavelet transform coefficients of different scales and positions. , They are scale parameters and translation parameters, which are set according to requirements. About The wavelet basis function is Daubechies wavelet.

[0055] During the coke oven coke pushing process, the surface temperature distribution of the coke cake is uneven, and hot spots or large temperature gradients will appear in local areas. In order to improve the accuracy and reliability of temperature measurement, it is necessary to finely compensate the local temperature data on the surface of the coke cake. Local fine compensation can accurately capture and correct these local temperature changes, ensure the accuracy of the overall temperature measurement results, and thus optimize the coke production process and improve product quality. Wavelet transform has the ability of multi-resolution analysis and can capture the detailed changes of signals at different scales. Through wavelet transform, temperature data can be decomposed into wavelet transform coefficients of different scales and positions to reflect the local characteristics and changes in the temperature signal. The compensation formula designed based on wavelet transform coefficients and wavelet basis functions can process local temperature data more accurately, capture the detailed changes of temperature signals, and perform effective compensation to ensure that the compensated temperature data is more accurate and reliable. Daubechies wavelet is an orthogonal wavelet with tight support and good smoothness. It is suitable for detail detection and decomposition in signal processing. Selecting Daubechies wavelet as wavelet basis function can effectively capture mutations and details in temperature signals and provide high-precision temperature data decomposition and compensation. Its good time-frequency localization characteristics enable it to maintain high resolution in multi-scale analysis while effectively removing noise and interference, thereby improving the accuracy of temperature measurement. By dividing the coke cake surface into several sub-regions, the data in each region is locally finely compensated based on wavelet transform coefficients and wavelet basis functions, which can accurately capture and correct local temperature changes. Selecting Daubechies wavelet can provide high-precision temperature data decomposition and compensation, ensuring the accuracy and reliability of the overall temperature measurement results, thereby optimizing the coke production process and improving product quality.

[0056] It should be noted that in an embedded processor, the wavelet transform coefficient formula in the local fine compensation formula is:

[0057] ;

[0058] Where: is the wavelet basis function The complex conjugate of .

[0059] Wavelet transform can analyze signals at different scales and capture detailed changes in temperature data. By calculating wavelet transform coefficients at different scales and positions, local temperature changes can be identified and compensated to improve the accuracy of measurement. Wavelet transform combines the advantages of time and frequency analysis and can locally process temperature signals in the time domain and frequency domain. Using the wavelet transform coefficient formula, the high-frequency and low-frequency components in the temperature data can be effectively separated and processed to enhance the compensation effect. The use of complex conjugate wavelet basis functions can improve the stability and accuracy of the transform. The complex conjugate operation can effectively process complex signals, reduce noise and interference, and ensure that the calculation of wavelet transform coefficients is more accurate. The scale parameters and translation parameters in the wavelet transform coefficient formula can be flexibly adjusted to adapt to temperature changes in different regions and time. By adjusting these parameters, it can dynamically adapt to changes in temperature distribution on the surface of the coke cake and provide a flexible compensation solution. The wavelet transform coefficients are calculated in real time in the embedded processor and local fine compensation is performed. The temperature changes can be monitored and compensated in real time. The adaptive adjustment based on real-time data can continuously optimize the compensation parameters and improve the accuracy and reliability of compensation.

[0060] It should be noted that, in the embedded processor, the formula for fusing the compensated multi-angle data is:

[0061] ;

[0062] Where: is the comprehensive temperature after fusion, For the The compensation temperature weight of each angle can be set according to the requirements. For the The compensation temperature of the angle, is the total number of angle indices.

[0063] By fusing compensated temperature data from multiple angles, blind spots and errors in single-angle measurement can be eliminated. Data from different angles complement each other, improving the accuracy and reliability of overall temperature measurement. In the fusion process of measurement data from multiple angles, the influence of individual outliers can be weakened by setting weights, the robustness of data can be enhanced, and noise and external interference can be effectively resisted. Fusion of temperature data from different angles can fully cover the temperature information on the surface of the coke cake, avoid ignoring local hot spots or cold spots, and provide a more complete temperature distribution map. Weights can be set according to actual needs, and the influence of data from each angle in the fusion process can be flexibly adjusted, so that the fusion process can be optimized according to actual measurement conditions and needs, and the representativeness of the fusion temperature can be improved. Multi-angle data fusion can adapt to the complex high-temperature environment and rapidly changing temperature field inside the coke oven, provide stable temperature measurement results, and ensure the stability of the production process and product quality. By performing data fusion in an embedded processor, its powerful computing power can be used to process and fuse multi-angle data in real time, provide timely and accurate temperature information, and optimize the production process.

[0064] Based on the analysis results, the central control module generates fire adjustment instructions, including adjusting fuel supply, air flow, fire channel switches, etc., to optimize the temperature distribution in the coke oven; through a closed-loop control system, it monitors temperature changes in real time and dynamically adjusts the fire adjustment strategy to ensure that the temperature is controlled within the set range; records all temperature data, analysis results and control instructions, and stores them in a database for subsequent analysis and optimization; communicates with operators and other control systems, provides real-time data and status information, and issues alarms in the event of abnormal temperatures or system failures.

[0065] The central control module receives and monitors the temperature data of the coke cake surface in real time, identifies hot spots and cold spots in the temperature distribution; determines whether the temperature changes are in line with expectations through trend analysis, and identifies abnormal situations (such as local overheating or cold spots); uses background radiation and friction heat data to compensate and correct the temperature data to ensure the accuracy of temperature measurement; dynamically adjusts the compensation model based on the real-time monitored changes in background radiation and friction heat to improve the reliability of temperature data; adjusts the fuel supply based on the results of temperature data analysis to control the temperature distribution in the coke oven; adjusts the air flow entering the coke oven to optimize combustion efficiency and temperature control; opens or closes specific fire channels based on temperature distribution to achieve precise control of local temperature; the central control module monitors temperature changes in real time through a closed-loop control system, feeds back the fire adjustment effect, and dynamically adjusts the control strategy; automatically adjusts the fire adjustment parameters based on real-time data to ensure that the temperature is controlled within the set range and optimizes the coke production process.

[0066] The central control module receives, processes and analyzes temperature data in real time, generates and executes fire adjustment instructions, dynamically adjusts fuel supply, air flow and fire channel switches, and achieves precise control of the temperature in the coke oven. Using compensated multi-angle temperature data, background radiation and friction heat data, the central control module can effectively identify temperature anomalies, optimize fire adjustment strategies, improve the accuracy and reliability of temperature control, and ensure the stability of the coke production process and product quality.

[0067] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0068] Finally: The above description is only the preferred technical solution of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A push-focus temperature measurement system based on a background compensation model, comprising an infrared colorimetric imaging probe, an infrared thermometer, an on-site power distribution box, an embedded processor, a cooling air pump, a signal transmitter and a central control module, It is characterized in that It also includes a background radiation monitoring sensor and a pressure sensor. The embedded processor receives infrared images and temperature data from multiple angles, calculates the heat generated by friction, performs background compensation on the original temperature data based on coke cake radiation, background radiation and friction heat, uses image processing algorithms to identify local hot spots in the coke oven, performs key monitoring and fine compensation on the hot spots, fuses the compensated multi-angle data, outputs the optimized temperature, and transmits the processed data to the central control module; the infrared colorimetric imaging probe, infrared thermometer, background radiation monitoring sensor, and pressure sensor are connected to the embedded processor, which is connected to the signal transmitter. The device is connected to the central control module, the cooling air pump is connected to the infrared colorimetric imaging probe and the infrared thermometer through the cooling air pipe, and the on-site distribution box is connected to the infrared colorimetric imaging probe, the infrared thermometer, the background radiation monitoring sensor, the pressure sensor, the embedded processor, the cooling air pump, the signal transmitting device, and the central control module; in the embedded processor, the background radiation compensation model for background compensation of the original temperature data based on the coke cake radiation, the background radiation and the frictional heat generation is based on the original temperature data, minus the ratio of the coke cake radiation rate to the background radiation rate multiplied by the optimized processing value of the background radiation intensity and the frictional heat generation, in the background radiation compensation model, the temperature formula after compensation is: Where: i is the temperature acquisition angle index, is the compensated temperature at the i-th angle, is the original temperature data of the i-th angle, ∈ obj ,∈ bg are the radiance of the coke cake and the radiance of the background, T bg is the background radiation intensity, which is obtained by monitoring the background radiation monitoring sensor. α and β are optimization parameters, which are obtained by gradient descent parameter optimization method. Based on real-time monitoring of coke cake and furnace wall temperature and background radiation intensity, Q f The friction between the coke cake and the coke pushing channel generates heat; In embedded processors, the formula for calculating frictional heat is: Q f =μ·F f ·v·t; Where: Qf is the frictional heat generated by the coke cake and the coke pushing channel, μ is the friction coefficient between the coke cake and the coke pushing channel, which is measured by experiments, F f is the normal force, which is obtained by monitoring the pressure sensor, v is the focus pushing speed, which is obtained by the central control module, and t is the focus pushing time, which is obtained by the central control module.

2. A focus-pushing temperature measurement system based on a background compensation model according to claim 1, It is characterized in that The installation angles of the infrared colorimetric imaging probe and the infrared thermometer at the center point and edge line of the top of the carbonization chamber are 90° and 45° respectively, the installation angles at the middle, upper and lower positions of the side wall of the carbonization chamber are 0°, 30° and 45° respectively, the installation angles above the coke pushing channel, on the side wall and obliquely above are 90°, 0° and 45° respectively, the installation angles directly in front of and above the exit of the coke pushing channel are 0° and 90° respectively, the installation angles directly in front of and above the entrance of the coke quenching tower are 0° and 90° respectively, and the relative reference planes of all angles are horizontal planes.

3. According to the background compensation model described in claim 1, It is characterized in that The background radiation monitoring sensor is located in the carbonization chamber, which collects background radiation data in real time and transmits the collected data to the embedded processor. The pressure sensor is located at the position where the push rod of the coke pusher contacts the coke cake.

4. The push-focus temperature measurement system based on the background compensation model according to claim 1, It is characterized in that In the background radiation compensation model of the embedded processor, the acquisition strategy of the optimization parameters α and β is: Step 1: Initial parameter setting: Analyze the spectral characteristics of the relationship between coke cake temperature and background radiation intensity through Fourier transform, extract the main frequency components of background radiation intensity and coke cake temperature, and use the amplitude of the main frequency components as the initial value of the optimization parameter α. Fitting the relationship between frictional heat generation and background radiation intensity, t 1 To calculate the time, Q f (T bg ) as the initial value of the optimization parameter β; Step 2, parameter optimization algorithm: use gradient descent method to iterate parameters and cross-validate the generalization ability of optimized parameters; Step three: real-time adjustment and adaptive optimization: monitor the coke cake temperature and background radiation intensity in real time, establish a feedback control system based on the actual measured data, and continuously optimize the parameters based on the adaptive gradient algorithm.

5. A focus-pushing temperature measurement system based on a background compensation model according to claim 4, It is characterized in that In the embedded processor, the coke surface is divided into several sub-areas, and the data in each area is processed separately. The coordinates of each area are (x m ,y m ), where m is the sub-region index, x m ,y m are the horizontal and vertical coordinates of the sub-region m, respectively. The local hot spot area on the coke cake surface is identified and tracked. Based on the wavelet transform coefficients and wavelet basis functions, the sub-region is locally finely compensated. The formula for local fine compensation is: Where: is the local fine compensation temperature of the mth sub-region, is the initial measured temperature of the mth sub-region, W(θ, μ) is the wavelet transform coefficient, and the sub-region temperature data is decomposed by wavelet transform to obtain wavelet transform coefficients of different scales and positions, where θ and μ are scale parameters and translation parameters, respectively, which are set according to the requirements. About The wavelet basis function is Daubechies wavelet.

6. A focus-pushing temperature measurement system based on a background compensation model according to claim 5, It is characterized in that In embedded processors, the wavelet transform coefficient formula in the local fine compensation formula is: Where: is the wavelet basis function The complex conjugate of .

7. A focus-pushing temperature measurement system based on a background compensation model according to claim 6, It is characterized in that In the embedded processor, the formula for fusing the compensated multi-angle data is: Where: T fused (x, y) is the comprehensive temperature after fusion, ω i is the compensation temperature weight of the i-th angle, is the compensation temperature of the ith angle, and N is the total number of angle indices.

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