A method and system for detecting the temperature field of a furnace cross section using a single infrared probe

Abstract

This invention provides a method and system for detecting the temperature field of a furnace cross-section using a single infrared probe, relating to the field of temperature detection technology. The method includes: acquiring environmental information about a preset simulated detection space and the area surrounding the furnace; collecting a first detection temperature at a first preset point and determining a first distance between a first preset location and the first preset point; collecting a second detection temperature at the first preset point; determining an error relationship function based on the first distance, the first detection temperature, the second detection temperature, and the environmental information; collecting furnace cross-section temperature data at multiple second preset points in the furnace cross-section and determining the coordinate information of the second preset points in the furnace coordinate system; determining a furnace cross-section temperature field detection score based on the furnace cross-section temperature data and coordinate information; and generating a furnace cross-section temperature field detection report based on the furnace cross-section temperature field detection score. According to this invention, the accuracy of the furnace cross-section temperature field detection results can be improved.

Description

Technical Field

[0001] This invention relates to the field of temperature detection technology, and in particular to a method and system for detecting the temperature field of a furnace cross-section using a single infrared probe. Background Technology

[0002] In related technologies, CN116086614B discloses a method for visually monitoring the temperature field and radiation characteristics of a boiler furnace cross-section using combined radiation images and spectra. Belonging to the field of thermal radiation temperature detection, this method is adaptable to harsh measurement conditions. The image detector can be directly inserted into the boiler's observation port to acquire flame image data. Power plant boilers using this detection system do not require additional drilling, eliminating the risk of reduced boiler wall strength due to perforation. The furnace cross-section temperature field measured by this system can accurately determine the combustion state within the furnace, providing accurate and effective guidance for boiler combustion regulation. This reduces temperature deviations in different combustion zones, ensuring stable boiler operation, thereby improving combustion efficiency and reducing pollutant emissions.

[0003] CN103808412B discloses a furnace workpiece temperature measurement device and method, mainly used for online measurement of the surface temperature field of workpieces in industrial furnaces in the field of heat treatment. This device includes an infrared endoscope lens assembly with a cooling protective sleeve, a high-temperature flue gas filter, an infrared thermal imaging probe, an automatic rotation and retraction mechanism for the lens assembly, an infrared thermal imaging temperature measurement host, a monitoring and display device, and a contact-type workpiece surface temperature thermometer, collectively forming an infrared thermal imaging temperature measurement system and method for measuring the surface temperature field of the furnace workpiece. The infrared thermal imaging lens assembly with a high-temperature flue gas filter effectively filters out the shielding effect of high-temperature flue gas on the surface temperature of the workpiece inside the furnace. Through a thermal pixel temperature system error correction algorithm, system errors are effectively eliminated, improving the temperature measurement accuracy.

[0004] Based on the above-mentioned technologies, the thermal pixel temperature system error correction algorithm can effectively eliminate system errors and improve temperature measurement accuracy. However, the technologies do not consider the influence of other environmental factors (such as humidity, wind force and measurement distance) on temperature measurement errors. In other words, the technologies cannot take into account the influence of real-time environmental factors on temperature measurement, thus making it difficult to guarantee the accuracy of furnace cross-section temperature field detection results.

[0005] The information disclosed in the background section of this application is intended only to enhance the understanding of the general background of this application and should not be construed as an admission or in any way implying that the information constitutes prior art known to those skilled in the art. Summary of the Invention

[0006] This invention provides a method and system for detecting the temperature field of a furnace cross section using a single infrared probe. It can solve the technical problem that related technologies cannot take into account the influence of real-time environmental factors on temperature measurement, thus making it difficult to guarantee the accuracy of the furnace cross section temperature field detection results.

[0007] According to a first aspect of the present invention, a method for detecting the temperature field of a furnace cross-section using a single infrared probe is provided, comprising:

[0008] By using a combination of sensors placed around the furnace, environmental information of a preset simulated detection space and the area around the furnace is obtained, including temperature information, humidity information, and wind speed information.

[0009] At multiple moments during the simulated detection cycle, a single infrared probe set at a first preset position is used to collect the first detection temperature at the first preset point and determine the first distance between the first preset position and the first preset point.

[0010] The second detection temperature at the first preset point is collected by a temperature sensor set at the first preset point.

[0011] Based on the first distance, the first detected temperature, the second detected temperature, and the environmental information, determine the error relationship function;

[0012] At multiple moments during the detection cycle, the furnace cross-sectional temperature data at multiple second preset points in the furnace cross-section are collected by second single infrared probes set at multiple second preset positions in the furnace cross-section, and the coordinate information of the second preset points in the furnace coordinate system is determined, wherein the furnace coordinate system is a coordinate system established based on the centroid of the furnace cross-section.

[0013] The furnace cross-sectional temperature data and the coordinate information are used to determine the furnace cross-sectional temperature field detection score.

[0014] A furnace cross-sectional temperature field detection report is generated based on the furnace cross-sectional temperature field detection score.

[0015] According to a second aspect of the present invention, a single infrared probe furnace cross-sectional temperature field detection system is provided, comprising:

[0016] An environmental information module is used to acquire environmental information of a preset simulated detection space and the area surrounding the furnace through a combination of sensors installed around the furnace. The environmental information includes temperature information, humidity information, and wind speed information.

[0017] The simulation detection module is used to collect the first detection temperature at the first preset point at multiple moments during the simulation detection cycle by using a single infrared probe set at the first preset position, and to determine the first distance between the first preset position and the first preset point.

[0018] The analog information module is used to collect the second detection temperature at the first preset point by means of a temperature sensor set at the first preset point.

[0019] The relational function module is used to determine the error relational function based on the first distance, the first detection temperature, the second detection temperature, and the environmental information;

[0020] The detection information module is used to collect furnace cross-sectional temperature data at multiple second preset points in the furnace cross-section at multiple moments during the detection cycle through second single infrared probes set at multiple second preset positions in the furnace, and to determine the coordinate information of the second preset points in the furnace coordinate system, wherein the furnace coordinate system is a coordinate system established based on the centroid of the furnace cross-section.

[0021] The detection and scoring module is used to determine the detection score of the furnace cross-section temperature field based on the furnace cross-section temperature data and the coordinate information.

[0022] The detection report module is used to generate a furnace cross-sectional temperature field detection report based on the detection score of the furnace cross-section temperature field.

[0023] Technical Effects: According to the present invention, the relationship between temperature information, humidity information, detection distance, wind force information, and temperature detection error can be accurately analyzed. Based on this relationship, the accuracy of furnace cross-sectional temperature field detection can be improved. Furthermore, during furnace cross-sectional temperature field detection, the furnace cross-sectional temperature field is analyzed based on the furnace cross-sectional temperature data and coordinate information at each second preset point, improving the accuracy of the furnace cross-sectional temperature field detection results. When determining the error relationship function, it can be determined based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and environmental information. This accurately describes the relationship between temperature detection error and environmental factors, camera emissivity, and detection distance, improving the accuracy of the error relationship function. When determining the actual furnace cross-sectional temperature data, it is determined based on the second camera emissivity, the second emissivity, the second distance, environmental information, the furnace cross-sectional temperature data, and the error relationship function. This improves the accuracy and objectivity of the actual furnace cross-sectional temperature data, providing a data foundation for subsequent furnace cross-sectional temperature field detection. When determining the temperature field detection score of the furnace cross section, the score can be determined based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function. During the calculation process, the temperature field of the furnace cross section can be detected and analyzed from multiple aspects, such as the overall distribution of the temperature field of the furnace cross section determined by temperature, the overall distribution of the temperature field of the furnace cross section determined by the temperature change rate, and whether there is a high temperature condition in the furnace cross section. This improves the comprehensiveness and accuracy of the temperature field detection score of the furnace cross section.

[0024] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only, and are not intended to limit the invention. Other features and aspects of the invention will become clearer from the following detailed description of exemplary embodiments with reference to the accompanying drawings. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without creative effort.

[0026] Figure 1 A schematic diagram of an unattended intelligent parking management system according to an embodiment of the present invention is shown as an example;

[0027] Figure 2 An exemplary flowchart of an unattended smart parking management method according to an embodiment of the present invention is shown. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] The technical solution of the present invention will be described in detail below with reference to specific embodiments. These specific embodiments can be combined with each other, and the same or similar concepts or processes may not be described again in some embodiments.

[0030] Figure 1 An exemplary flowchart of a single infrared probe furnace cross-sectional temperature field detection method according to an embodiment of the present invention is shown, the method comprising:

[0031] Step S101: By using a combination of sensors set around the furnace, environmental information of the preset simulated detection space and the area around the furnace is obtained, wherein the environmental information includes: temperature information, humidity information and wind information;

[0032] Step S102: At multiple moments during the simulated detection cycle, the first detection temperature at the first preset point is collected by a single infrared probe set at the first preset position, and the first distance between the first preset position and the first preset point is determined.

[0033] Step S103: Collect the second detection temperature at the first preset point using a temperature sensor set at the first preset point.

[0034] Step S104: Determine the error relationship function based on the first distance, the first detected temperature, the second detected temperature, and the environmental information;

[0035] Step S105: At multiple moments during the detection cycle, the furnace cross-sectional temperature data at multiple second preset points in the furnace cross-section are collected by the second single infrared probes set at multiple second preset positions in the furnace cross-section, and the coordinate information of the second preset points in the furnace coordinate system is determined, wherein the furnace coordinate system is a coordinate system established based on the centroid of the furnace cross-section.

[0036] Step S106: Determine the furnace cross-sectional temperature field detection score based on the furnace cross-sectional temperature data and the coordinate information;

[0037] Step S107: Generate a furnace cross-sectional temperature field detection report based on the furnace cross-sectional temperature field detection score.

[0038] The single infrared probe furnace cross-sectional temperature field detection method according to an embodiment of the present invention can accurately analyze the relationship between temperature information, humidity information, detection distance and wind force information and temperature detection error, and then improve the accuracy of furnace cross-sectional temperature field detection based on this relationship. Furthermore, during furnace cross-sectional temperature field detection, the furnace cross-sectional temperature field is detected and analyzed based on the furnace cross-sectional temperature data and coordinate information at each second preset point, thereby improving the accuracy of the furnace cross-sectional temperature field detection results.

[0039] According to an embodiment of the present invention, in step S101, a set of sensors disposed around the furnace is used to acquire environmental information of a preset simulated detection space and the furnace surrounding environment, wherein the environmental information includes temperature information, humidity information and wind information.

[0040] For example, the temperature, humidity, and wind speed in the preset simulated detection space can be manually adjusted to simulate the single infrared probe temperature measurement under different environmental conditions. Temperature, humidity, and wind speed information around the furnace can be obtained by temperature sensors, humidity sensors, and wind speed sensors set around the furnace.

[0041] According to an embodiment of the present invention, in step S102, at multiple moments during the simulated detection cycle, a first detection temperature at a first preset point is collected by a single infrared probe set at a first preset position, and a first distance between the first preset position and the first preset point is determined.

[0042] For example, since it is impossible to directly use a temperature sensor to detect the temperature at each point on the furnace cross-section during furnace operation, and errors will occur when using a single infrared probe for temperature measurement, a simulation test experiment is conducted before detecting the temperature field of the furnace cross-section to determine the influence of various external factors on the temperature measurement results of the single infrared probe. In the simulation test experiment, a preset point in the preset simulation test space is determined as the first preset point. The first preset point can fully reflect the environmental changes of the preset simulation test space, and a single infrared probe is set at the first preset position to detect the first detection temperature at the first preset point. The first preset point is a fixed point, and the first preset position is a moving point. The first distance between the first preset position and the first preset point increases uniformly as the time of the simulation test cycle progresses.

[0043] According to an embodiment of the present invention, in step S103, a second detection temperature at the first preset point is collected by a temperature sensor set at the first preset point.

[0044] For example, a temperature sensor is set at a first preset point to collect the actual temperature at the first preset point, which is the second detection temperature.

[0045] According to an embodiment of the present invention, in step S104, an error relationship function is determined based on the first distance, the first detection temperature, the second detection temperature, and the environmental information.

[0046] According to an embodiment of the present invention, step S104 includes:

[0047] Obtain the first emissivity of the material at the first preset point;

[0048] Obtain the emissivity of the first camera with a single infrared probe at the first preset position;

[0049] An error relationship function is determined based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and the environmental information.

[0050] For example, the emissivity of a material refers to the ratio of the energy radiated from the surface of the material to the energy radiated by a blackbody at the same temperature. It is an important parameter for measuring the thermal radiation performance of a material. Different materials have different emissivities. The first emissivity of the material at a first preset point is obtained through a detection instrument (e.g., an infrared radiometer). The first camera emissivity set by a single infrared probe at the first preset position is also obtained. The single infrared probe has a camera capable of detecting the infrared radiation of an object. The first camera emissivity is a parameter preset by the user based on the material of the target being measured. There is a corresponding relationship between the first camera emissivity and the material of the target being measured. If the emissivity is set incorrectly, it will lead to errors in the measurement results. The first camera emissivity is stored in the memory of the camera. The error between the first detection temperature and the second detection temperature is related to the emissivity, detection distance, and surrounding environment to a certain extent. Based on the correlation of the above data, the error relationship function between the first emissivity, the first camera emissivity, the first distance, environmental information, and the first and second detection temperatures can be determined.

[0051] According to one embodiment of the present invention, determining an error relationship function based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and the environmental information includes: determining the equation to be fitted for the error relationship function according to formula (1).

[0052]

[0053] Where if is a conditional function, DT 1，i DT represents the first detected temperature at the first preset point at the i-th moment of the simulation detection cycle. 2，i The second detection temperature at the first preset point is at the i-th moment of the simulation detection cycle, and Em1 is the first emissivity of the material at the first preset point. c1 Di is the emissivity of the first camera with a single infrared probe at the first preset position. 1，i ET represents the first distance between the first preset position and the first preset point at the i-th moment of the simulation detection period. i To preset the temperature information of the simulated detection space at the i-th moment of the simulated detection period, EH i To preset the humidity information of the simulated detection space at the i-th moment of the simulated detection period, EF i To preset the wind force information of the simulation detection space at the i-th moment of the simulation detection period, α1, α2, α3, α4, α5, α6, α7, α8, α9 and α 10 The coefficients are to be fitted.

[0054] Based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and the environmental information, the coefficients to be fitted are solved to obtain the solution values ​​of the coefficients to be fitted.

[0055] Based on the solved values ​​of the coefficients to be fitted and the equation to be fitted, the error relationship function is determined.

[0056] According to one embodiment of the present invention, a single infrared probe may produce measurement errors during temperature detection due to external factors. 1，i -DT 2，i Let be the difference between the first and second detected temperatures at the i-th moment of the simulated detection cycle, representing the error value of temperature detection.

[0057] According to an embodiment of the present invention, in formula (1), the following two cases can be represented by a conditional function, when Em1 > Em c1 Under the condition that the first emissivity is greater than the first camera emissivity, if the emissivity of the material at the first preset point is higher than the emissivity of the single infrared probe, the single infrared probe may underestimate the true temperature at the first preset point, resulting in an incorrect first detection temperature DT. 1，i The value is too low, which leads to DT 1，i -DT 2，i When the value is small, the value of the condition function is... The ratio represents the relative difference between the first emissivity and the first camera emissivity. A larger ratio indicates a higher relative first emissivity, leading to a higher first detection temperature DT. 1，i The lower the value, the more DT will be. 1，i -DT 2，i The value is small. This indicates that the relative difference between the first emissivity and the first camera emissivity has a negative correlation with the temperature detection error. When the condition Em1 > Em is not satisfied... c1 When the condition is met, the value of the condition function is the inner condition function. The value of .

[0058] According to an embodiment of the present invention, the inner condition function The value includes the following two cases, when Em1 = ​​Em c1 When the conditions are met, the first emissivity equals the first camera emissivity, the error between the temperature detected by the single infrared probe and the actual temperature at the first preset point is small, and the value of the conditional function is 1. When Em1 = ​​Em... c1Under certain conditions, if the emissivity of the first sensor is less than that of the first camera, and if the emissivity of the material at the first preset point is lower than that of the single infrared sensor, the single infrared sensor may overestimate the true temperature of the object, leading to an incorrect first detection temperature DT. 1，i The value is too large, which leads to DT 1，i -DT 2，i The value of is large, and the value of the condition function is large. The ratio represents the relative difference between the first camera's emissivity and the first emissivity. The larger this ratio, the higher the first detection temperature DT. 1，i The larger the value, the greater the DT. 1，i -DT 2，i The larger the value, the better. This indicates a positive correlation between the relative difference in emissivity between the first camera and the first emissivity, and the temperature detection error. (Conditional function) This indicates the relationship between the intrinsic factors (emissivity) of a single infrared probe and the temperature detection error.

[0059] According to one embodiment of the present invention, in In the middle, (α3ET) i +α4) indicates that the temperature information at the i-th moment of the simulated detection cycle is positively correlated with the magnitude of the temperature detection error. The higher the ambient temperature around the furnace, the higher the first detection temperature DT at the first preset point detected by the single infrared probe. 1，i The larger the value, the greater the error value DT in temperature detection. 1，i -DT 2，i The larger the size, This indicates a negative correlation between the initial distance and the error value of temperature detection. The greater the initial distance, the stronger the atmospheric attenuation of infrared radiation, leading to a decrease in the target radiation energy detected by a single infrared probe, and consequently, a decrease in the initial detection temperature DT. 1，i The smaller the value, the smaller the temperature detection error value DT. 1，i -DT 2，i The smaller the size, This indicates a negative correlation between the humidity information at time i of the simulated detection cycle and the error value of the temperature detection. Higher humidity indicates higher moisture content in the air. Moisture absorbs infrared radiation, leading to a reduction in the target radiation energy detected by the single infrared probe. The first detection temperature DT... 1，i The smaller the value, the smaller the temperature detection error value DT. 1，i -DT 2，i The smaller the size, The wind speed information at the i-th moment of the simulated detection cycle is negatively correlated with the error value of temperature detection. The stronger the wind speed, the faster the heat of the object being measured will be dissipated, leading to a higher initial detection temperature DT detected by the single infrared probe.1，i The smaller the value, the smaller the temperature detection error value DT. 1，i -DT 2，i The smaller the size. This indicates the relationship between external environmental factors and temperature detection errors.

[0060] According to one embodiment of the present invention, the equation involving the undetermined coefficients can be fitted using multiple parameters, namely, the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and environmental information, to solve for the multiple unfitted coefficients. There are 10 unfitted coefficients, namely α1, α2, α3, α4, α5, α6, α7, α8, α9, and α... 10 The above 10 coefficients to be fitted are solved to obtain the solution values ​​of the above 10 coefficients to be fitted, and the solution values ​​of the above 10 coefficients to be fitted are substituted into the equation to be fitted to determine the error relationship function.

[0061] In this way, an error relationship function can be determined based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and environmental information. This accurately describes the relationship between temperature detection error and environmental factors, camera emissivity, and detection distance, thus improving the accuracy of the error relationship function.

[0062] According to an embodiment of the present invention, in step S105, at multiple moments during the detection cycle, the furnace cross-sectional temperature data at multiple second preset points in the furnace cross-section are collected by a second single infrared probe set at multiple second preset positions in the furnace cross-section, and the coordinate information of the second preset points in the furnace coordinate system is determined, wherein the furnace coordinate system is a coordinate system established based on the centroid of the furnace cross-section.

[0063] For example, multiple single infrared probes are installed at appropriate locations in the furnace, namely the second preset locations, to capture temperature information of the furnace cross-section. These second preset locations are not directly exposed to the flames inside the furnace, thus avoiding damage to the probes or affecting measurement accuracy. The second preset points are evenly distributed throughout the furnace cross-section, and the temperature data of the furnace cross-section at each of the second preset points is collected using the single infrared probes positioned at those second preset locations.

[0064] According to an embodiment of the present invention, in step S106, a furnace cross-sectional temperature field detection score is determined based on the furnace cross-sectional temperature data and the coordinate information.

[0065] According to an embodiment of the present invention, step S106 includes:

[0066] Acquire coordinate information of multiple cameras located at second preset positions within the furnace coordinate system;

[0067] The second distance is determined based on the camera coordinate information and the coordinate information.

[0068] Acquire the emissivity of the second camera of the second single infrared probe set at multiple second preset positions in the furnace;

[0069] Obtain the second emissivity of the material at multiple second preset points;

[0070] The actual furnace cross-sectional temperature data is determined based on the second camera emissivity, the second emissivity, the second distance, the environmental information, the furnace cross-sectional temperature data, and the error relationship function.

[0071] Based on the actual furnace cross-sectional temperature data and the coordinate information, the furnace cross-sectional temperature field detection score is determined.

[0072] For example, based on the camera coordinates at the second preset location and the coordinates at the corresponding second preset point, a second distance between the second preset location and the second preset point is determined; the emissivity of the second camera set by the second single infrared probe at multiple second preset locations is determined; the second emissivity of the material in the furnace cross-section is detected by a detection instrument; based on the second camera emissivity, the second emissivity, the second distance, environmental information, furnace cross-section temperature data, and error relationship function, the actual furnace cross-section temperature data at each second preset point in the furnace cross-section is calculated; based on the actual furnace cross-section temperature data and the coordinates of each second preset point, the furnace cross-section temperature field is detected and analyzed, and a furnace cross-section temperature field detection score is determined.

[0073] According to one embodiment of the present invention, determining the actual furnace cross-sectional temperature data based on the second camera emissivity, the second emissivity, the second distance, the environmental information, the furnace cross-sectional temperature data, and the error relationship function includes: determining the actual furnace cross-sectional temperature data at the k-th second preset point at the j-th moment of the detection cycle using formula (2) FFT. k，j ,

[0074]

[0075] Where if is a conditional function, FT k，j Em represents the furnace cross-sectional temperature data at the k-th second preset point at the j-th moment of the detection cycle. 2，k Em represents the second emission rate at the k-th second preset point. c2,k ST is the emissivity of the second camera with a single infrared probe at the k-th second preset position. j For the temperature information around the furnace at the j-th moment of the detection cycle, SH jFor the humidity information around the furnace at the j-th moment of the detection cycle, SF j Di represents the wind force information around the furnace at the j-th moment of the detection cycle. k Let α be the second distance between the k-th second preset position and the k-th second preset point. 1,F Let α1 be the solution value, and α be the solution value. 2，F Let α be the solution value of α2, α 3，F Let α3 be the solution value, and α be the solution value. 4，F Let α be the solution value of α4, α 5,F Let α5 be the solution value, and α 6,F Let α be the solution value of α6, α 7，F Let α be the solution value of α7, α 8，F Let α be the solution value of α8, α 9,F Let α9 be the solution value, and α 10,F For α 10 The solution value.

[0076] According to one embodiment of the present invention, the second camera emissivity, second emissivity, second distance, environmental information, and furnace cross-sectional temperature data can be substituted into the error relationship function to obtain formula (2), thereby obtaining the actual furnace cross-sectional temperature data at the j-th moment of the detection cycle, and then determining the actual furnace cross-sectional temperature data at each moment of the detection cycle.

[0077] In this way, the actual furnace cross-sectional temperature data can be determined based on the second camera's emissivity, second emissivity, second distance, environmental information, furnace cross-sectional temperature data, and error relationship function. This can improve the accuracy and objectivity of the actual furnace cross-sectional temperature data and provide a data foundation for subsequent furnace cross-sectional temperature field detection.

[0078] According to one embodiment of the present invention, a furnace cross-sectional temperature field detection score is determined based on the actual furnace cross-sectional temperature data and the coordinate information, including:

[0079] The temperature distribution function is determined based on the actual furnace cross-sectional temperature data and the coordinate information.

[0080] The actual furnace cross-sectional temperature data at the kth second preset point is fitted with the time in the detection cycle to obtain the actual temperature function of the actual furnace cross-sectional temperature at the kth second preset point in the detection cycle.

[0081] Based on the actual temperature function, obtain the actual temperature derivative function;

[0082] Based on the actual temperature derivative function, determine the actual temperature change rate at multiple moments in the detection cycle at the kth second preset point;

[0083] Based on the actual temperature change rate and the coordinate information, determine the temperature change rate distribution function;

[0084] The first standard deviation is determined based on the actual furnace cross-sectional temperature data.

[0085] The second standard deviation is determined based on the actual rate of temperature change.

[0086] The furnace cross-sectional temperature field detection score is determined based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function.

[0087] For example, based on the actual furnace cross-sectional temperature data and coordinate information at each second preset point, a temperature distribution function is determined to represent the temperature distribution at each second preset point in the furnace cross-section; the actual furnace cross-sectional temperature data at the kth second preset point is fitted with the time in the detection cycle to obtain an actual temperature function describing the change of the actual furnace cross-sectional temperature data at the kth second preset point over time in the detection cycle; the derivative of the actual temperature function is calculated to determine the actual temperature derivative function; the time in the detection cycle is substituted into the actual temperature derivative function to determine the... The actual temperature change rate at k second preset points at multiple times during the detection cycle; the temperature change rate distribution function is determined based on the actual temperature change rate and coordinate information at the multiple second preset points; the first standard deviation of the actual furnace cross-sectional temperature data at the multiple second preset points at each time of the detection cycle is calculated; the second standard deviation of the actual temperature change rate at the multiple second preset points at each time of the detection cycle is calculated; the furnace cross-sectional temperature field is detected and analyzed based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function, and the furnace cross-sectional temperature field detection score is determined.

[0088] According to an embodiment of the present invention, the furnace cross-sectional temperature field detection score is determined based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function, including: determining the furnace cross-sectional temperature field detection score T according to formula (3). fd ,

[0089]

[0090] Where max is the function for finding the maximum value, β p θ1, θ2, and θ3 are preset multiples, θ3 are preset weights, and if is a conditional function, (x k y k ) represents the coordinate information of the k-th second preset point, Td j (x k y kSd represents the temperature distribution function at the k-th second preset point at the j-th moment of the detection cycle. 1，j Let Tr be the first standard deviation at time j of the detection period. j (x k y k Sd represents the function value of the temperature change rate distribution function at the k-th second preset point at the j-th moment of the detection cycle. 2，j Let Tg be the second standard deviation at time j of the detection period. T K is the preset temperature threshold, K is the number of second preset points, k≤K, m is the number of moments in the detection cycle, j≤m, and k, K, j and m are all positive integers.

[0091] According to an embodiment of the present invention, in formula (3), the following two cases can be represented by a conditional function, when the following conditions are met: When the condition is met, it means that the actual furnace cross-sectional temperature data at the k-th second preset point in the furnace cross-section at the j-th time is within an interval centered on the average actual furnace cross-sectional temperature data and with a first standard deviation twice the preset multiple as the interval length. The value of the condition function is 1. When the condition is not met... When the condition is met, the value of the condition function is 0. If the actual furnace cross-sectional temperature data at the k-th second preset point at the j-th time satisfies the above condition, it indicates that the deviation between the actual furnace cross-sectional temperature data and the average value of the actual furnace cross-sectional temperature data at the K second preset points at the j-th time is small; otherwise, it can be considered that the deviation between the actual furnace cross-sectional temperature data and the average value is large.

[0092] It is the ratio between the number of second preset points with small deviations from the actual furnace cross-sectional temperature data and the average value, and the total number of second preset points. The larger the ratio, the more uniform the distribution of the furnace cross-sectional temperature field determined based on the temperature.

[0093] The average value is calculated based on the number of moments in the detection cycle. The larger this ratio is, the more uniform the overall temperature field distribution of the furnace cross-section is within the detection cycle, as determined by the temperature.

[0094] According to an embodiment of the present invention, in formula (3), the following two cases can be represented by a conditional function, when the following conditions are met: When the condition is met, it means that the actual temperature change rate at the k-th second preset point in the furnace cross-section at the j-th time is within an interval centered on the average actual temperature change rate and with the second standard deviation being twice the preset multiple as the interval length. The value of the condition function is 1. When the condition is not met... When the condition is met, the value of the condition function is 0. If the actual temperature change rate at the k-th second preset point at time j satisfies the above condition, it indicates that the deviation between the actual temperature change rate and the average of the actual temperature change rates at the K second preset points at time j is small; otherwise, it can be considered that the deviation between the actual furnace cross-sectional temperature data and the average value is large.

[0095] It is the ratio between the number of second preset points with small deviations from the actual temperature change rate and the average value and the total number of second preset points. The larger the ratio, the more uniform the temperature field distribution of the furnace cross section determined according to the temperature change rate.

[0096] The average value is calculated based on the number of moments in the detection cycle. The larger this ratio is, the more uniform the overall distribution of the furnace cross-section temperature field, determined by the rate of temperature change, is within the detection cycle.

[0097] According to one embodiment of the present invention, max k∈[1，K] Td j (x k y k The maximum value of the actual furnace cross-sectional temperature data at the K second preset points at the j-th moment of the detection cycle is taken. The above method of finding the maximum value can be used to determine the highest temperature in the furnace cross-section. Excessively high temperatures may lead to slagging in the furnace water-cooled walls and other areas, affecting the safe operation of the boiler. To calculate the average value based on the number of moments in the detection cycle, this represents the case where the average temperature is highest within the detection cycle. The value of the maximum value of the actual furnace cross-sectional temperature data at K second preset points is the relative difference between the average value of the values ​​during the detection period and the preset temperature threshold. The larger this ratio is, the greater the possibility that the furnace cross-section is overheated during the detection period, and the greater the possibility of safety risks.

[0098] In this way, the temperature field detection score of the furnace cross section can be determined based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function. During the calculation process, the temperature field of the furnace cross section can be detected and analyzed from multiple aspects, such as the overall distribution of the temperature field of the furnace cross section determined by temperature, the overall distribution of the temperature field of the furnace cross section determined by the temperature change rate, and whether there is a high temperature condition in the furnace cross section. This improves the comprehensiveness and accuracy of the temperature field detection score of the furnace cross section.

[0099] According to one embodiment of the present invention, in step S107, a furnace cross-sectional temperature field detection report is generated based on the furnace cross-sectional temperature field detection score.

[0100] For example, if the furnace cross-sectional temperature field detection score is less than the set furnace cross-sectional temperature field detection score threshold, it indicates that there is uneven combustion or excessively high local temperature in the furnace.

[0101] The single-infrared probe furnace cross-sectional temperature field detection method according to embodiments of the present invention can accurately analyze the relationship between temperature information, humidity information, detection distance, wind force information, and temperature detection error. Based on this relationship, the accuracy of furnace cross-sectional temperature field detection can be improved. During furnace cross-sectional temperature field detection, the furnace cross-sectional temperature field is detected and analyzed based on the furnace cross-sectional temperature data and coordinate information at each second preset point, improving the accuracy of the detection results. When determining the error relationship function, it can be determined based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and environmental information. This accurately describes the relationship between temperature detection error and environmental factors, camera emissivity, and detection distance, improving the accuracy of the error relationship function. When determining the actual furnace cross-sectional temperature data, it is determined based on the second camera emissivity, the second emissivity, the second distance, environmental information, the furnace cross-sectional temperature data, and the error relationship function. This improves the accuracy and objectivity of the actual furnace cross-sectional temperature data, providing a data foundation for subsequent furnace cross-sectional temperature field detection. When determining the temperature field detection score of the furnace cross section, the score can be determined based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function. During the calculation process, the temperature field of the furnace cross section can be detected and analyzed from multiple aspects, such as the overall distribution of the temperature field of the furnace cross section determined by temperature, the overall distribution of the temperature field of the furnace cross section determined by the temperature change rate, and whether there is a high temperature condition in the furnace cross section. This improves the comprehensiveness and accuracy of the temperature field detection score of the furnace cross section.

[0102] Figure 2 A schematic diagram of a single infrared probe furnace cross-sectional temperature field detection system according to an embodiment of the present invention is shown, the system comprising:

[0103] An environmental information module is used to acquire environmental information of a preset simulated detection space and the area surrounding the furnace through a combination of sensors installed around the furnace. The environmental information includes temperature information, humidity information, and wind speed information.

[0104] The simulation detection module is used to collect the first detection temperature at the first preset point at multiple moments during the simulation detection cycle by using a single infrared probe set at the first preset position, and to determine the first distance between the first preset position and the first preset point.

[0105] The analog information module is used to collect the second detection temperature at the first preset point by means of a temperature sensor set at the first preset point.

[0106] The relational function module is used to determine the error relational function based on the first distance, the first detection temperature, the second detection temperature, and the environmental information;

[0107] The detection information module is used to collect furnace cross-sectional temperature data at multiple second preset points in the furnace cross-section at multiple moments during the detection cycle through second single infrared probes set at multiple second preset positions in the furnace, and to determine the coordinate information of the second preset points in the furnace coordinate system, wherein the furnace coordinate system is a coordinate system established based on the centroid of the furnace cross-section.

[0108] The detection and scoring module is used to determine the detection score of the furnace cross-section temperature field based on the furnace cross-section temperature data and the coordinate information.

[0109] The detection report module is used to generate a furnace cross-sectional temperature field detection report based on the detection score of the furnace cross-section temperature field.

[0110] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are merely examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functions and structural principles of the present invention have been demonstrated and explained in the embodiments, and any variations or modifications may be made to the implementation of the present invention without departing from the stated principles.

Claims

1. A method for detecting the temperature field of a furnace cross-section using a single infrared probe, characterized in that, include: By using a combination of sensors placed around the furnace, environmental information about the preset simulated detection space and the area around the furnace is obtained. The environmental information includes temperature information, humidity information, and wind speed information. At multiple moments during the simulated detection cycle, a single infrared probe set at a first preset position is used to collect the first detection temperature at the first preset point and determine the first distance between the first preset position and the first preset point. The second detection temperature at the first preset point is collected by a temperature sensor set at the first preset point. Based on the first distance, the first detected temperature, the second detected temperature, and the environmental information, determine the error relationship function; At multiple moments during the detection cycle, the furnace cross-sectional temperature data at multiple second preset points in the furnace cross-section are collected by second single infrared probes set at multiple second preset positions in the furnace cross-section, and the coordinate information of the second preset points in the furnace coordinate system is determined, wherein the furnace coordinate system is a coordinate system established based on the centroid of the furnace cross-section. The furnace cross-sectional temperature data and the coordinate information are used to determine the furnace cross-sectional temperature field detection score. A furnace cross-sectional temperature field detection report is generated based on the furnace cross-sectional temperature field detection score. Based on the first distance, the first detected temperature, the second detected temperature, and the environmental information, an error relationship function is determined, including: Obtain the first emissivity of the material at the first preset point; Obtain the emissivity of the first camera with a single infrared probe at the first preset position; An error relationship function is determined based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and the environmental information; Based on the furnace cross-sectional temperature data and the coordinate information, a furnace cross-sectional temperature field detection score is determined, including: Acquire coordinate information of multiple cameras located at second preset positions within the furnace coordinate system; The second distance is determined based on the camera coordinate information and the coordinate information. Acquire the emissivity of the second camera of the second single infrared probe set at multiple second preset positions in the furnace; Obtain the second emissivity of the material at multiple second preset points; The actual furnace cross-sectional temperature data is determined based on the second camera emissivity, the second emissivity, the second distance, the environmental information, the furnace cross-sectional temperature data, and the error relationship function. Based on the actual furnace cross-sectional temperature data and the coordinate information, the furnace cross-sectional temperature field detection score is determined.

2. The method for detecting the temperature field of a furnace cross-section using a single infrared probe according to claim 1, wherein an error relationship function is determined based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and the environmental information, including: According to the formula ; Determine the equation to be fitted for the error relationship function, where if is the condition function. The first detected temperature at the first preset point at the i-th moment of the simulated detection cycle. The second detection temperature is located at the first preset point at the i-th moment of the simulated detection cycle. The first emissivity of the material at the first preset point. The emissivity of the first camera with a single infrared probe at the first preset position. The distance between the first preset position and the first preset point is the first distance at the i-th time of the simulated detection period. To preset the temperature information of the simulated detection space at the i-th time of the simulated detection period, To preset the humidity information of the simulated detection space at the i-th moment of the simulated detection period, To preset the wind force information of the simulation detection space at the i-th moment of the simulation detection period, , , , , , , , , and The coefficients are to be fitted. Based on the first emissivity, the first camera emissivity, the first distance, the first detection temperature, the second detection temperature, and the environmental information, the coefficients to be fitted are solved to obtain the solution values ​​of the coefficients to be fitted. Based on the solved values ​​of the coefficients to be fitted and the equation to be fitted, the error relationship function is determined.

3. The method for detecting the temperature field of a furnace cross-section using a single infrared probe according to claim 1, wherein the actual furnace cross-section temperature data is determined based on the emissivity of the second camera, the second emissivity, the second distance, the environmental information, the furnace cross-section temperature data, and the error relationship function, includes: According to the formula , Determine the actual furnace cross-sectional temperature data at the k-th second preset point at the j-th moment of the detection cycle. Where, if is a conditional function, This refers to the furnace cross-sectional temperature data at the k-th second preset point at the j-th moment of the detection cycle. The second emission rate at the k-th second preset point. The emissivity of the second camera with a single infrared probe at the k-th second preset position. This refers to the temperature information around the furnace at the j-th moment of the detection cycle. This refers to the humidity information around the furnace at the j-th moment of the detection cycle. This refers to the wind force information around the furnace at the j-th moment of the detection cycle. The second distance is the distance between the k-th second preset position and the k-th second preset point. for The solution value, for The solution value, for The solution value, for The solution value, for The solution value, for The solution value, for The solution value, for The solution value, for The solution value, for The solution value.

4. The method for detecting the temperature field of a furnace cross-section using a single infrared probe according to claim 1, wherein a score for detecting the temperature field of the furnace cross-section is determined based on the actual furnace cross-section temperature data and the coordinate information, including: The temperature distribution function is determined based on the actual furnace cross-sectional temperature data and the coordinate information. The actual furnace cross-sectional temperature data at the kth second preset point is fitted with the time in the detection cycle to obtain the actual temperature function of the actual furnace cross-sectional temperature at the kth second preset point in the detection cycle. Based on the actual temperature function, obtain the actual temperature derivative function; Based on the actual temperature derivative function, determine the actual temperature change rate at multiple moments in the detection cycle at the kth second preset point; Based on the actual temperature change rate and the coordinate information, determine the temperature change rate distribution function; The first standard deviation is determined based on the actual furnace cross-sectional temperature data. The second standard deviation is determined based on the actual rate of temperature change. The furnace cross-sectional temperature field detection score is determined based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function.

5. The method for detecting the temperature field of a furnace cross-section using a single infrared probe according to claim 4, wherein a score for detecting the temperature field of the furnace cross-section is determined based on the first standard deviation, the second standard deviation, the temperature change rate distribution function, and the temperature distribution function, including: According to the formula , Determine the temperature field detection score of the furnace cross section Where max is the function for finding the maximum value. For preset multiples, , and The preset weights are defined by the `if` statement, which is a conditional function. This provides the coordinate information of the k-th second preset point. The value of the temperature distribution function at the k-th second preset point is the value of the temperature distribution function at the j-th moment of the detection cycle. Let be the first standard deviation at time j of the detection period. Let be the function value of the temperature change rate distribution function at the k-th second preset point at the j-th moment of the detection cycle. Let be the second standard deviation at time j of the detection period. K is the preset temperature threshold, K is the number of second preset points, k≤K, m is the number of moments in the detection cycle, j≤m, and k, K, j and m are all positive integers.

6. A single infrared probe furnace cross-sectional temperature field detection system for performing the method according to any one of claims 1-5, characterized in that, include: An environmental information module is used to acquire environmental information of a preset simulated detection space and the area surrounding the furnace through a combination of sensors installed around the furnace. The environmental information includes temperature information, humidity information, and wind speed information. The simulation detection module is used to collect the first detection temperature at the first preset point at multiple moments during the simulation detection cycle by using a single infrared probe set at the first preset position, and to determine the first distance between the first preset position and the first preset point. The analog information module is used to collect the second detection temperature at the first preset point by means of a temperature sensor set at the first preset point. The relational function module is used to determine the error relational function based on the first distance, the first detection temperature, the second detection temperature, and the environmental information; The detection information module is used to collect furnace cross-sectional temperature data at multiple second preset points in the furnace cross-section at multiple moments during the detection cycle through second single infrared probes set at multiple second preset positions in the furnace, and to determine the coordinate information of the second preset points in the furnace coordinate system, wherein the furnace coordinate system is a coordinate system established based on the centroid of the furnace cross-section. The detection and scoring module is used to determine the detection score of the furnace cross-section temperature field based on the furnace cross-section temperature data and the coordinate information. The detection report module is used to generate a furnace cross-sectional temperature field detection report based on the detection score of the furnace cross-section temperature field.

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