Non-contact online temperature measurement method, device, system and storage medium thereof

Abstract

The application discloses a non-contact online temperature measurement method and system and a storage medium. The method comprises the following steps: establishing a temperature-capacitance value relationship model for standard samples at different temperatures; measuring the capacitance characteristic value of a sample to be measured; and obtaining the temperature and distribution of the sample to be measured according to the temperature-capacitance value relationship model. The application provides an instrument device and a technical method for non-contact online measurement of the average temperature and temperature distribution of a high-temperature reactor, such as a fixed bed reactor, which has important significance for the development and monitoring of intelligent industrial instruments. The application can realize online real-time detection of the temperature and temperature distribution of a sample, and is especially suitable for online rapid detection of a catalyst at high temperature. The application is convenient to operate, has little influence on an original device, has high sensitivity, is friendly to the environment, and has no emission.

Description

Technical Field

[0001] This application relates to a non-contact online measurement method, imaging device, and application of average temperature and temperature distribution in a high-temperature reactor, particularly to the online measurement of the average temperature and temperature distribution of fixed-bed, fluidized-bed, or other heat-conducting media in high-temperature reactors using a high-temperature capacitance tomography technique. This application belongs to the field of intelligent instrument measurement. Background Technology

[0002] With the rapid development of modern chemical industry, petroleum processing industry and other fields, the corresponding industries have received increasing attention, and research on reactors has also made great progress.

[0003] Temperature distribution within a chemical reactor significantly impacts interphase transfer at different scales, including mass transfer, momentum transfer, and heat transfer. These factors influence the rate of chemical reactions within the reactor. Temperature distribution directly affects the selectivity and yield of chemical reactions in corresponding regions, thus having a crucial influence on the final products. Therefore, online monitoring of temperature changes within the reactor, including average temperature and temperature distribution, is of significant industrial importance.

[0004] Currently, the main methods for measuring the temperature of catalyst beds include: 1. Thermocouple method: inserting thermocouples into the catalyst bed to measure the temperature of the corresponding area; 2. Fiber optic temperature measurement method: using fluorescent fiber optic temperature sensors for temperature measurement; 3. Fluorescence spectroscopy method: adding particles containing tracer components to the bed to be tested and determining the temperature based on the emission of the tracer particles; 4. Infrared detection method: determining the bed temperature by detecting the infrared radiation of the bed; 5. Liquid crystal temperature measurement method: using liquid crystals that correspond one-to-one with actual colors for temperature measurement; 6. Indirect temperature measurement method: inputting other information such as the temperature at the reactor inlet and outlet or the temperature of the reactor outer wall into a mathematical model to calculate the bed temperature.

[0005] However, non-contact online measurement of the average temperature and temperature distribution inside a high-temperature chemical reactor is a very challenging problem. On the one hand, chemical reactors are located in high-temperature environments, exceeding the measurement range of some traditional methods. On the other hand, the internal conditions are complex; the catalyst bed and the reactants and products present limit the placement of invasive equipment, such as thermocouples and temperature-sensing optical fibers, which need to penetrate into the temperature measurement area. Furthermore, the thickness of the reactor bed itself makes it impossible to measure the overall temperature distribution of the bed using methods such as infrared detection. Moreover, to provide a suitable reaction environment, the outer wall of the actual reactor is often enclosed by heating equipment, resulting in limited space and restricting the opening of observation windows on the outside or the placement of equipment close to the reactor wall.

[0006] Therefore, traditional detection methods suffer from limitations such as high environmental requirements and limited measurement range, making it difficult to achieve online measurement of the temperature distribution of the entire catalyst bed without affecting the structure of the reactor and the catalyst bed. Thus, developing a method capable of rapidly detecting the temperature of the catalyst bed and determining its temperature distribution online under high-temperature conditions is of significant practical importance. Summary of the Invention

[0007] According to a first aspect of this application, a non-contact online temperature measurement method is provided. Addressing the limitations of previous analytical methods for online sample temperature measurement, this application provides a method for rapidly online detection of sample temperature and its distribution (such as temperature and distribution in a solid catalyst bed) using capacitance tomography. This method quantitatively measures the temperature of a homogeneous sample and describes the temperature and distribution of samples with non-uniform temperatures. This method is simple and intuitive, enabling rapid online temperature measurement and reflecting temperature distribution. It is particularly suitable for online detection of solid catalyst temperatures, allowing for rapid online temperature determination and assessment of temperature distribution.

[0008] A non-contact online temperature detection method includes:

[0009] S1. Select multiple standard samples at different temperatures and determine the equation of the temperature-capacitance relationship curve.

[0010] S11. Determine a standard sample, heat it to different temperatures, and measure the temperature of the standard sample;

[0011] S12. Using a capacitance tomography sensor, obtain the capacitance values ​​of the standard sample at different temperatures, and process them to obtain capacitance characteristic values;

[0012] S13. Perform curve fitting on the temperature of the standard sample and the capacitance characteristic value at different temperatures to obtain the temperature-capacitance relationship curve equation;

[0013] S2. Measure the capacitance of the sample to be tested online; determine the temperature of the sample to be tested based on the temperature-capacitance relationship model, and determine the temperature distribution.

[0014] Optionally, in step S11, the temperature of each of the standard samples is measured by a thermocouple.

[0015] Optionally, the capacitance characteristic value in step S12 is obtained by arranging the standard samples in descending order of dielectric constant under the same temperature conditions, and obtaining the capacitance characteristic value of each standard sample using a capacitance tomography sensor.

[0016] Optionally, a standard sample with the largest dielectric constant is selected as the calibration reference; the capacitance characteristic value is the capacitance characteristic value relative to the calibration reference.

[0017] Optionally, in step S13, the capacitance characteristic values ​​of the standard sample include the capacitance values ​​of a single electrode pair selected from the standard sample, the average capacitance of the standard sample, the sum of the capacitance values ​​of the standard sample, and the relative capacitance distribution of the sample in the measurement area obtained after the reconstruction algorithm, etc. 。

[0018] Optionally, step S2 includes: obtaining the capacitance characteristic value of the sample to be tested online using a capacitance tomography sensor.

[0019] Optionally, the capacitance characteristic value of the sample to be tested includes at least one of the following: the capacitance value of a single electrode pair selected from the standard sample, the average capacitance value of the sample to be tested, the sum of the capacitance values ​​of the sample to be tested, the sum of the squares of the capacitance values ​​of the sample to be tested, and the distribution of the relative capacitance values ​​of the sample in the measurement area obtained after the machine learning reconstruction algorithm.

[0020] Optionally, the standard sample and the sample to be tested are catalysts.

[0021] Optionally, the catalyst is a solid catalyst, and the catalyst is a molecular sieve catalyst.

[0022] Optionally, obtaining the capacitance characteristic value of the sample to be tested online includes: obtaining the capacitance characteristic value of the catalyst bed before the start of the catalytic reaction process; or, obtaining the capacitance characteristic value of the catalyst bed before the start of the catalyst regeneration process.

[0023] Optionally, the temperature range for online measurement of the capacitance characteristic value of the sample under test is 0 to 800°C.

[0024] According to a second aspect of this application, the application of the non-contact online temperature measurement method described herein in the olefin production reaction of oxygen-containing compounds is provided.

[0025] According to a third aspect of this application, the application of the non-contact online temperature measurement method described herein is provided in the methanol and / or dimethyl ether to olefin reaction.

[0026] According to the fourth aspect of this application, the application of the non-contact online temperature measurement method described herein is provided in the temperature measurement of other molecular sieve catalyst powders.

[0027] According to a fifth aspect of this application, this application also provides a non-contact online temperature measurement device capable of detecting temperature and its distribution online. The device includes a reactor, a capacitance tomography sensor, a capacitance tomography signal acquisition unit, and a data processor.

[0028] The capacitance tomography sensor is installed at the outer end of the reactor;

[0029] The capacitance tomography signal acquisition device is connected to the capacitance tomography sensor;

[0030] The data processor is connected to the capacitance tomography signal acquisition unit and is used to store and execute the above-mentioned non-contact online temperature measurement method and capacitance tomography algorithm.

[0031] In this application, capacitance tomography (ECT) is a measurement technique that utilizes the functional relationship between capacitance and the dielectric constant of the measured object. By using relevant facilities to measure multiple pairs of capacitance values ​​of the target, mathematical methods are used to reconstruct the dielectric constant distribution of the measured medium. Applied to fluidized bed measurements, it can obtain the concentration distribution of different phases within the measurement area. It features real-time measurement, no radiation, low cost, and ease of operation. Since the relative dielectric constant of particles such as catalysts is temperature-dependent, ECT can be used for rapid online detection of the temperature and temperature distribution of solid catalysts in high-temperature closed reactors.

[0032] The beneficial effects that this application can produce include:

[0033] 1) This application discloses a method for detecting temperature, particularly a method for online rapid detection of temperature in a solid catalyst and temperature distribution in the measurement area. This method is simple and intuitive, and can meet the requirements for online rapid detection of catalyst temperature and temperature distribution under high temperature conditions.

[0034] 2) The temperature detection method provided in this application uses a capacitance tomography imaging sensor, which can be applied not only to the real-time visual online detection of the bed temperature inside a high-temperature fluidized bed in chemical and catalytic reactions, but also to the real-time monitoring of changes in temperature and temperature distribution inside a reactor under fixed bed conditions.

[0035] 3) The method provided in this application does not require the addition of other detection equipment outside the capacitance tomography system for temperature measurement, nor does it require additional sample pretreatment.

[0036] 4) The method provided in this application is low in cost, fast in detection speed, easy to operate, has little impact on the original device, high sensitivity, and is environmentally friendly with no emissions. It can be directly installed on the reactor for measurement, or applied to other temperature measurement occasions. It is convenient for industrial online application and has a wide range of applications and prospects.

[0037] 5) The method for online detection of the temperature and temperature distribution of solid molecular sieve catalysts provided in this application can be applied to reactions involving the conversion of oxygen-containing compounds to olefins, or reactions involving the production of olefins from methanol and / or dimethyl ether, or other applications where molecular sieves are used as reaction catalysts.

[0038] 6) This application also provides an apparatus for realizing a method for online detection of temperature and temperature distribution. Attached Figure Description

[0039] Figure 1 This is a curve showing the relationship between catalyst temperature and capacitance summation according to Example 1 of this application.

[0040] Figure 2 This is a curve showing the relationship between catalyst temperature and average capacitance according to Example 2 of this application.

[0041] Figure 3 This is an apparatus for rapid online detection of catalyst bed temperature and its distribution according to Example 1 of this application.

[0042] Figure 4 The LBP algorithm was used to reconstruct the imaging of the bed in Example 2.

[0043] Figure 5 In Example 2, the LBP algorithm was used to reconstruct imaging the bed at 300 degrees Celsius. Detailed Implementation

[0044] The present application is described in detail below with reference to the embodiments, but the present application is not limited to these embodiments.

[0045] The non-contact online temperature measurement method described in this application includes:

[0046] Using capacitance tomography (ECT) technology, the capacitance value between the electrode pairs of the capacitance tomography sensor changes due to the difference in dielectric constant of the sample at different temperatures. This result is compared with the temperature value measured by thermocouples to obtain the correspondence between the capacitance characteristic value and the corresponding sample temperature. The relationship curve equation is obtained by fitting and calculating, thereby realizing online temperature measurement of solid catalysts.

[0047] During the analysis, catalyst powders of the same type with different temperatures, arranged in descending order of dielectric constant, were sequentially loaded into a reaction tube equipped with an external capacitance tomography (ECT) sensor, ensuring that the bed density of the catalyst powder was the same and the temperature was uniform each time.

[0048] Optionally, three or more samples of the same catalyst powder at different temperatures may be analyzed.

[0049] Optionally, the catalyst powder with the highest dielectric constant can be used as the calibration reference for the analysis.

[0050] Record the (relative) capacitance values ​​measured by the capacitance tomography (ECT) sensor. Each sample yields a set of values. Take the characteristic values ​​of each set of capacitance values ​​(such as capacitance value of a specific electrode pair, average capacitance value, sum of capacitance values, sum of squared capacitance values) to obtain the capacitance characteristic values ​​corresponding to the catalyst at different temperatures.

[0051] The catalysts at different temperatures were measured using thermocouples to obtain accurate temperatures, which were then used as data on the vertical axis. The capacitance characteristic value of the ECT sensor for each group of samples was used as data on the horizontal axis. The capacitance characteristic value was processed with the catalyst temperature to obtain a fitting equation, thereby obtaining the correlation between catalyst temperature and capacitance value. The temperature and its distribution were then determined by the capacitance value.

[0052] After completing the above calibration process, in the actual measurement of catalyst bed temperature, under static conditions, the ECT sensor only needs to measure the capacitance value between the electrodes online in real time. Substituting this value into the fitting curve equation of capacitance value and catalyst temperature obtained in the calibration process, the temperature of the catalyst at this time can be obtained immediately. The temperature distribution at this time can be obtained by using the reconstruction algorithm.

[0053] This method can be used to measure the temperature of different types of catalysts. After calibrating each type of catalyst, a correlation curve equation between the catalyst's temperature and capacitance value can be established, and the temperature and distribution of the catalyst can be tested online.

[0054] In the same type of catalytic reaction, the catalyst temperature before the start of different reactions can be detected online with a single calibration, and the temperature distribution can be determined accordingly. It is especially suitable for online detection from 0 to 800℃, and particularly suitable for online detection from 300 to 600℃.

[0055] Optionally, the catalyst is a molecular sieve catalyst.

[0056] Optionally, the method includes the following steps:

[0057] a) Select multiple samples of the same catalyst at different temperatures, with a minimum of 3 samples.

[0058] b) Use thermocouples to measure the temperature of each of the above standard samples.

[0059] c) Measure the capacitance values ​​of each sample using a reactor equipped with an ECT sensor, and sum the measured capacitance values ​​(or take the average capacitance, or select the capacitance values ​​between single electrode pairs, or take the sum of the squares of the capacitances, or use reconstruction algorithms, machine learning, or other methods to calculate the capacitance distribution) to obtain the capacitance characteristic value.

[0060] d) The temperature measured by thermocouples is used as the vertical axis data, and the capacitance characteristic value is used as the horizontal axis data. The capacitance characteristic value and the catalyst temperature are fitted into a relationship curve equation.

[0061] e) A reactor using the same set of ECT sensors is used for catalytic reaction. The static capacitance value measured during the reaction (automatic accumulation, or average capacitance value, or capacitance value of a single electrode pair, or sum of squared capacitance values) is automatically substituted into the equation relating capacitance value to catalyst temperature. The temperature of the catalyst bed can be measured online, and the temperature distribution can be obtained through mathematical methods such as machine learning.

[0062] Unless otherwise specified, all catalysts used in the following examples were purchased commercially, with SAPO 34 catalyst purchased from CAS Catalysis New Technology (Dalian) Co., Ltd.

[0063] The analysis method in the embodiments of this application is as follows:

[0064] Using thermocouples (Shenyang Zhongse, type K), The temperature of the standard sample was tested before the measurement began.

[0065] The temperature and distribution of standard samples and test samples were analyzed using a capacitance tomography sensor (self-made, non-standard).

[0066] According to one embodiment of this application, the non-contact online temperature measurement method described herein can be applied to the rapid online detection of the temperature of a solid catalyst, comprising the following steps:

[0067] 1) Select n (n≥3) solid catalysts (including but not limited to MTO catalysts) at different temperatures as standard samples.

[0068] 2) Under the same packing density and uniform temperature distribution, catalyst powders of the same type, arranged in descending order of dielectric constant and temperature, are sequentially loaded into a reaction tube equipped with a capacitance tomography (ECT) sensor on the outside. The catalyst with the highest dielectric constant, i.e., the highest temperature, is selected as the calibration reference, and its capacitance value is defined as 1. The capacitance value measured when the tube is empty is defined as 0. The temperature of each sample is measured using thermocouples and recorded. After removing the thermocouples, the capacitance value (relative) of each standard sample is measured using the ECT sensor in single-electrode excitation mode. A set of capacitance values ​​is obtained for each standard sample, and n sets of capacitance values ​​are obtained for n standard samples. The capacitance values ​​of each of the n sets of capacitance values ​​are summed, or their average values ​​are calculated, or the squares are summed, or the capacitance values ​​of a single electrode pair are selected, or the relative capacitance value distribution of the sample in the measurement area is obtained through a reconstruction algorithm.

[0069] 3) Using the accurate temperatures of the catalysts at different temperatures obtained by thermocouple measurements as the vertical axis data, sum the capacitance of each ECT sensor group, or calculate its average capacitance, or sum the squares of the capacitance, or select the capacitance value of a single electrode pair as the horizontal axis data, and fit the capacitance value with the catalyst temperature to form a relationship curve equation.

[0070] 4) After completing the above calibration process, when measuring the temperature of other catalyst beds, under static conditions, the ECT sensor only needs to measure the capacitance value of the sample to be tested (e.g., catalyst, catalyst to be generated) between the electrodes online. Substituting this value into the equation of the capacitance value and the catalyst temperature fitting curve, the temperature of the catalyst at this time can be obtained immediately. Furthermore, the temperature distribution in the test area can be obtained through the relative permittivity distribution obtained by the reconstruction algorithm, thereby realizing the determination of temperature and temperature distribution through capacitance value.

[0071] Example 1

[0072] To provide a clear and concrete demonstration of the temperature detection method provided in this application, the following will combine... Figure 1 This paper demonstrates a method for rapid online detection of temperature and distribution in a uniform bed of SAPO 34 molecular sieve catalyst.

[0073] An industrial-grade SAPO 34 molecular sieve catalyst was selected and designated as the standard sample. It was placed in a reaction tube equipped with an external capacitance tomography (ECT) sensor (an 8-electrode sensor was used in this example). The reaction tube was placed in a tube furnace, and the sample was heated to a high temperature (600°C) to ensure uniform temperature. The bed was kept still before measurement, and this was used as the calibration reference. For sample number 8 in the table below, the capacitance value of each electrode pair was recorded as 1.

[0074] Capacitance tomography (ECT) was used to measure the samples in single-electrode excitation mode. The temperature of the catalyst inside the reaction tube was adjusted by changing the temperature in the tube furnace, and thermocouples were used for measurement. After the catalyst bed in the reaction tube became homogeneous, the relative capacitance of the standard samples at each standard temperature was measured using single-electrode excitation mode. To reduce systematic error, capacitance values ​​measured at adjacent electrodes were discarded, and the capacitance values ​​were summed. Eight sets of capacitance values ​​were obtained for eight sets of standard samples, and the measured data are shown in Table 1.

[0075] Table 1. Sum of capacitance measurements of SAPO 34 molecular sieve catalysts at different temperatures.

[0076] 1 31.09574 320 2 31.74597 350 3 32.48391 380 4 33.27453 410 5 33.94776 440 6 35.27325 470 7 37.12181 500 8 40.23682 530

[0077] The temperatures of SAPO 34 molecular sieves at different temperatures, measured by thermocouples, were used as the vertical axis data, and the sum of capacitance values ​​measured using capacitance tomography (ECT) sensors were used as the horizontal axis data. Referring to studies on capacitance-temperature changes of other materials, and using the least squares method, the equation form was determined, and the two sets of data were fitted together to form the relationship equation y = 0.1468 * C. 3 -18.23673*C 2 +761.9436*C-10145.357. Determine the relationship between capacitance and catalyst temperature.

[0078] After completing the above calibration, during the actual temperature measurement process, the bed was kept static, and the sum of capacitance values ​​obtained from each electrode was measured online using a sensor. The sum of capacitance values ​​was 33.54963. Substituting this into the fitting curve equation between the sum of capacitance values ​​and the bed temperature, the temperature of the catalyst at this time was calculated to be 434.3℃.

[0079] Example 2

[0080] An industrial-grade SAPO 34 molecular sieve catalyst was selected and designated as the standard sample. It was placed in a reaction tube equipped with an ECT sensor (using an 8-electrode sensor). The reaction tube was placed in a tube furnace, and the sample was heated to a high temperature (600°C) to ensure uniform temperature distribution. The bed was kept still before measurement. This sample was used as the calibration reference. For sample number 8 in the table below, the capacitance value of each electrode pair was recorded as 1.

[0081] Capacitance tomography (ECT) was used to measure the samples in single-electrode excitation mode. The temperature of the catalyst inside the reaction tube was adjusted by changing the temperature in the tube furnace, and thermocouples were used for measurement. After the catalyst bed in the reaction tube became homogeneous, the relative capacitance of the standard samples at each standard temperature was measured using single-electrode excitation mode. To reduce systematic error, capacitance values ​​measured at adjacent electrodes were discarded. The average of these capacitance values ​​was then taken. Eight sets of capacitance values ​​were obtained for eight sets of standard samples, and the measured data are shown in Table 2.

[0082] Table 2. Average capacitance measurements of SAPO 34 molecular sieve catalysts at different temperatures.

[0083] 1 0.777394 320 2 0.793649 350 3 0.812098 380 4 0.831863 410 5 0.848694 440 6 0.881831 470 7 0.928045 500 8 1.005921 530

[0084] Using the temperatures of SAPO 34 molecular sieves at different temperatures measured by thermocouples as the vertical axis data, and the average capacitance measured using capacitance tomography (ECT) sensors as the horizontal axis data, combined with other studies on the dielectric constant-temperature relationship of materials, the following relationship equation was obtained by fitting the equation using the least squares method after confirming its form:

[0085] y = 9375.17102 * C 3 -29180.18336*C 2 +30479.03677*C--10145.75064.

[0086] Determine the relationship between capacitance and catalyst temperature.

[0087] After completing the above calibration, during the actual temperature measurement, the bed was kept static, and the sum of capacitance values ​​obtained from each electrode was measured online using sensors. This sum was 0.838725. Substituting this into the fitted curve equation of capacitance sum versus bed temperature, the catalyst temperature at this point was calculated to be 434.3℃. Simultaneously, the bed at this point and the bed at 300℃ were reconstructed using the LBP algorithm for imaging. Figure 4 , Figure 5 As shown, the temperature distribution inside the bed layer under test was found to be uniform.

[0088] Example 3

[0089] like Figure 3 As shown, the non-contact online temperature measurement device of this application includes a reactor, a capacitance tomography sensor, a capacitance tomography signal acquisition unit, and a computer unit for data processing and imaging; wherein,

[0090] The reactor is used to determine the actual measurement area and also serves to support and fix the capacitance tomography sensor.

[0091] The capacitance tomography sensor is installed at the outer end of the reactor and is used to collect changes in capacitance signals in the measurement area.

[0092] The capacitance tomography signal acquisition unit is connected to the capacitance tomography sensor and is used to process the capacitance signal measured by the capacitance tomography sensor to obtain the relative capacitance signal value of the corresponding electrode pair.

[0093] The computer unit for data processing and imaging is connected to the capacitance tomography signal acquisition unit. It processes the relative values ​​of the capacitance signals of each electrode pair obtained by the capacitance tomography signal acquisition unit; stores and executes the algorithm corresponding to the aforementioned non-contact online temperature measurement method, as well as the capacitance tomography algorithm. Specifically, it calculates the relative distribution of the dielectric constant of the measurement area using the relative values ​​of the capacitance signals of the electrode pairs, and then images the data.

[0094] A computer system according to this application includes a processor; and

[0095] Memory for storing the executable instructions of the processor;

[0096] The processor executes the executable instructions to implement the steps of the above-mentioned non-contact online temperature measurement method.

[0097] This application provides a storage medium storing a computer program that, when executed, implements the steps of the aforementioned non-contact online temperature measurement method.

[0098] The above description is merely a few embodiments of this application and is not intended to limit this application in any way. Although this application discloses preferred embodiments as described above, it is not intended to limit this application. Any changes or modifications made by those skilled in the art without departing from the scope of the technical solution of this application using the disclosed technical content are equivalent to equivalent implementation cases and fall within the scope of the technical solution.

Claims

1. A non-contact online temperature measurement method, characterized in that, The standard sample and the sample to be tested are molecular sieve catalysts. The method includes: S1. Establish a temperature-capacitance relationship model for standard samples at different temperatures; S2. Measure the capacitance characteristic value of the sample to be tested, and obtain the temperature and distribution of the sample to be tested according to the temperature-capacitance relationship model. In step S2, measuring the capacitance characteristic value of the sample to be tested includes: obtaining the capacitance characteristic value of the catalyst bed before the start of the catalytic reaction process; or, obtaining the capacitance characteristic value of the catalyst bed before the start of the catalyst regeneration process. Step S1 includes: S11. Determine a standard sample, heat it at different temperatures, and measure the temperature of the standard sample; S12. Using a capacitance tomography sensor, obtain the capacitance values ​​of the standard sample at different temperatures, and process them to obtain capacitance characteristic values; S13. Perform curve fitting on the temperature of the standard sample and the capacitance characteristic value at different temperatures to obtain the temperature-capacitance relationship curve equation.

2. The non-contact online temperature measurement method according to claim 1, characterized in that, Step S12 further includes: under the same temperature conditions, arranging the standard samples in descending order of dielectric constant, and using a capacitance tomography sensor to obtain the capacitance characteristic values ​​of the standard samples respectively.

3. The non-contact online temperature measurement method according to claim 1, characterized in that, The capacitance characteristic values ​​include at least one of the following: the capacitance value of a single electrode pair selected from the standard sample, the average capacitance value of the standard sample, the sum of the capacitance values ​​of the standard sample, and the distribution of the relative capacitance values ​​of the sample in the measurement area obtained after reconstruction algorithm.

4. The non-contact online temperature measurement method according to claim 1, characterized in that, The standard reference material is the standard sample with the largest dielectric constant under different temperature conditions.

5. A non-contact online temperature measurement device, characterized in that, The device includes a reactor, a capacitance tomography sensor, a capacitance tomography signal acquisition unit, and a data processor; wherein... The capacitance tomography sensor is installed at the outer end of the reactor; The capacitance tomography signal acquisition device is connected to the capacitance tomography sensor; The data processor is connected to the capacitance tomography signal acquisition unit and is used to store and execute the non-contact online temperature measurement method and capacitance tomography algorithm as described in any one of claims 1-4.

6. A computer system, characterized in that, Including processors; and Memory for storing the executable instructions of the processor; Wherein, after the processor executes the executable instructions, it implements the steps of the non-contact online temperature measurement method as described in any one of claims 1-4.

7. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed, implements the steps of the non-contact online temperature measurement method according to any one of claims 1-4.

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