A multi-parameter testing system and method for microreactors

Abstract

This invention discloses a multi-parameter testing system and method for microreactors, comprising: collecting data from the microreactor, including the composition, temperature, and pressure parameters of the reactants; configuring parameters in the microreactor, including sampling frequency, flow rate, inlet pressure, medium density, and inlet temperature; and performing modeling and analysis based on the collected data and configured parameters, including establishing a temperature correction model at the inlet and online evaluation of the outlet pressure. This invention solves the problem of testing multiple physical quantities in microreactors and simultaneously achieves the challenges of temperature correction and online pressure evaluation.

Description

Technical Field

[0001] This invention relates to the field of metrology and testing technology, specifically to a multi-parameter testing system and method for a microreactor. Background Technology

[0002] Microreactors are highly efficient process intensification devices with advantages such as high specific surface area, fast heat and mass transfer rates, strong controllability, and ease of parallel scale-up. They are widely used in industries such as biopharmaceuticals and petrochemicals. However, as highly precise devices, real-time monitoring of the outlet pressure and internal reaction conditions of microreactors is impossible. Furthermore, because the temperature sensor at the microreactor inlet is not removable, the monitored temperature is not accurate enough. The inability to accurately obtain parameters such as temperature, outlet pressure, and reactant composition makes it impossible to monitor the safety of the microreactor in real time, making it difficult to prevent accidents. Summary of the Invention

[0003] To address the aforementioned issues, this invention proposes a multi-parameter testing system and method for microreactors, capable of acquiring the temperature, outlet pressure, and reactant composition of the microreactor, thereby enabling real-time monitoring of the microreactor.

[0004] To achieve the above objectives, the present invention is implemented through the following technical solution:

[0005] The present invention provides a multi-parameter testing system for a microreactor, the system comprising:

[0006] The data acquisition module is used to collect data from the microreactor, including the composition, temperature, and pressure parameters of the reactants in the microreactor.

[0007] The spectral module is used to generate spectra to determine the composition of substances, and assists the acquisition module in acquiring the components of reactants;

[0008] The control and analysis module is used to configure the parameters in the microreactor, monitor and acquire data from the microreactor in real time, and perform modeling and analysis on the data from the microreactor in real time. The modeling and analysis includes establishing a temperature correction model at the inlet to obtain the corrected temperature value and online evaluation of the pressure at the outlet.

[0009] A further improvement of the present invention is that the acquisition module includes an optical fiber sensor, a temperature sensor, and a pressure sensor, wherein the temperature sensor is a standard temperature sensor. Before data acquisition, the optical fiber sensor is inserted from the inlet of the microreactor into the middle position of the microreaction channel to collect the components of the reactants in conjunction with the spectral module. The temperature sensor and the pressure sensor are inserted into the inlet of the microreactor to collect the temperature and pressure at the inlet of the microreactor.

[0010] A further improvement of the present invention is that the spectral module includes a light source, a reflector, an interferometer, and a detector.

[0011] A further improvement of this invention lies in the specific operations of establishing the temperature correction model at the inlet, which include:

[0012] Record the temperature at the inlet of the microreactor detected by the standard temperature sensor and the temperature detected by the temperature sensor under test in the microreactor at the same sampling frequency and at the same time.

[0013] (1);

[0014] (2);

[0015] in: This is a data sequence collected by a temperature sensor. This refers to the specific data collected by the temperature sensor at regular intervals. This is the data sequence collected by the temperature sensor under test. This refers to the specific data collected at regular intervals by the temperature sensor under test.

[0016] Calculate the error between the temperature at the inlet of the microreactor and the temperature detected by the temperature sensor inside the microreactor;

[0017] (3);

[0018] in: For indication error, For specific error values;

[0019] A weighted moving average model is established based on the indication error to obtain the weighted moving average.

[0020] (4);

[0021] in: for Weighted moving average over a period of time For the indication error involved in the movement, Indicates the first The indication error shifts forward by the first... One location, These are the weighting coefficients;

[0022] To predict the value for the next stage, the weighted moving average will be used as the predicted value.

[0023] (5);

[0024] in: This is a predicted value;

[0025] Calculate the residual between the predicted value and the actual error, and then perform a second moving average on the residual;

[0026] (6);

[0027] in: For residuals Moving average over a period of time The number of residuals. For the residual data involved in the movement, Indicates the first The residual data is shifted forward by the [number]th [item]. One location;

[0028] A temperature correction model is established based on the weighted moving average and the double moving average to obtain the corrected temperature value;

[0029] (7);

[0030] in: This is a correction value for temperature.

[0031] A further improvement of the present invention is that the online assessment of the outlet pressure specifically includes:

[0032] A geometric model of the microreactor is established based on its physical structure, and then the established geometric model of the microreactor is meshed.

[0033] The parameters in the microreactor are substituted into the geometric model of the microreactor after mesh generation;

[0034] The initial temperature and pressure at the inlet of the microreactor's geometric model are set according to turbulent flow. Solve the geometric model of the microreactor to obtain the theoretical pressure value at the outlet of the microreactor. Based on the theoretical pressure value and the actual displayed pressure value, judge the safety status of the microreactor. The pressure at the outlet of the microreactor is shown in Equation (8). The pressure at the inlet and outlet of the microreactor satisfies the condition shown in Equation (9).

[0035] (8);

[0036] (9);

[0037] in: Pressure at the export end, Pressure on the import end, For the start time, End time, It is a multi-parameter black-box function. These are, respectively, the liquid density, the liquid flow velocity, and the liquid cross-sectional diameter. For time infinitesimal elements, For the inlet flow rate, The flow velocity at the outlet. It is the acceleration due to gravity. The height at the import point. This refers to the height at the exit.

[0038] The multi-parameter testing method in the microreactor of the present invention includes:

[0039] Configure the parameters in the microreactor, including sampling frequency, flow rate in the microreactor, pressure at the inlet, density of the liquid medium in the channel, and temperature at the inlet;

[0040] Data is collected from the microreactor, including the composition, temperature, and pressure parameters of the reactants in the microreactor. The temperature includes the temperature at the inlet of the microreactor detected by a standard temperature sensor and the temperature detected by the temperature sensor under test in the microreactor.

[0041] Modeling and analysis are performed based on the data collected from the microreactor and the parameters configured in the microreactor, including establishing a temperature correction model at the inlet and online assessment of the pressure at the outlet.

[0042] The beneficial effects of this invention are: it can correct the inlet temperature of the microreactor, obtain accurate temperature data, and perform online assessment of the outlet pressure when it is not possible to directly obtain the outlet pressure. It utilizes fiber optic sensors and a spectral module to acquire the composition of reactants within the microreactor. This enables real-time monitoring of the composition, pressure, and temperature of reactants in the microreactor, helping to prevent safety accidents in the microreactor. Attached Figure Description

[0043] Figure 1 This is a schematic diagram of the system structure in an embodiment of the present invention;

[0044] Figure 2 This is a hardware component of the multi-parameter testing system in the embodiments of the present invention;

[0045] Figure 3 This is a temperature error correction model curve diagram in an embodiment of the present invention;

[0046] Figure 4 This is a pressure cloud map at the outlet of the microreactor in an embodiment of the present invention. Detailed Implementation

[0047] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention. Furthermore, the technical features involved in the various embodiments of this invention described below can be combined with each other as long as they do not conflict with each other.

[0048] like Figures 1 to 2 As shown, this embodiment of a multi-parameter testing system in a microreactor includes hardware and software. The hardware includes a data acquisition module, a spectral module, and an analog-to-digital conversion module. The software includes data acquisition functions, parameter setting functions, data storage and visualization functions, temperature correction functions, pressure assessment functions, and a multi-parameter early warning model function. The acquisition module specifically includes a high-precision pressure sensor, a temperature sensor, and a fiber optic sensor. During parameter testing, the fiber optic sensor is inserted into the middle of the microreactor's reaction channel, the temperature sensor is inserted into the inlet, and the pressure sensor is inserted into the outlet of the microchannel to collect the composition of the reactants and the temperature and pressure at the microreactor inlet, respectively. The spectral module includes a light source, a mirror, an interferometer, a detector, and a signal processing system. The light source mainly provides electromagnetic radiation that interacts with the tested item; in this embodiment, a SiC material light source is used. The interferometer decomposes composite light into monochromatic light and mainly includes an entrance slit, a grating, a prism, and a filter. The entrance slit controls the light entering the aperture; the narrower the slit, the higher the resolution. The grating splits the light through diffraction, the prism splits the light through refractive index difference, and the filter is used to eliminate diffraction interference. The detector mainly converts optical signals into electrical signals; the signal processing system is an analog-to-digital converter module, which mainly converts electrical signals into digital signals and displays them in the form of a spectrum.

[0049] A testing method for a multi-parameter testing system in a microreactor based on this embodiment includes the following operations:

[0050] Step 1: Configure the parameters in the microreactor, including sampling frequency, flow rate in the microreactor, pressure at the inlet, density of the liquid medium in the channel, and temperature at the inlet;

[0051] Step 2: Collect data from the microreactor, including the composition, temperature, and pressure parameters of the reactants in the microreactor;

[0052] Step 3: Based on the collected data from the microreactor and the configured parameters of the microreactor, modeling and analysis are performed, including establishing a temperature correction model at the inlet and online evaluation of the pressure at the outlet.

[0053] Since the temperature sensor under test in the microreactor is not removable, it cannot be directly calibrated. This embodiment compares the temperature data detected by the temperature sensor with the temperature data detected by the temperature sensor under test at the microreactor inlet, and establishes a temperature correction model at the inlet using a quadratic moving average method. Specific steps include:

[0054] Step 3.11: Record the temperature at the inlet of the microreactor detected by the standard temperature sensor (the temperature sensor of this system) and the temperature detected by the temperature sensor under test in the microreactor at the same sampling frequency and at the same time.

[0055] (1);

[0056] (2);

[0057] in: This is a data sequence collected by a temperature sensor. This refers to the specific data collected by the temperature sensor at regular intervals. This is the data sequence collected by the temperature sensor under test. This refers to the specific data collected at regular intervals by the temperature sensor under test.

[0058] Step 3.12: Calculate the error between the temperature at the inlet of the microreactor and the temperature detected by the temperature sensor inside the microreactor.

[0059] (3);

[0060] in: For indication error, For specific error values;

[0061] Step 3.13, Single-weighted moving average method. Establish a weighted moving average model based on the indicated value error to obtain the weighted moving average.

[0062] (4);

[0063] in: for Weighted moving average over a period of time For the indication error involved in the movement, Indicates the first The indication error shifts forward by the first... One location, These are the weighting coefficients;

[0064] Step 3.14, predict the value of the next stage, using the weighted moving average in equation (4) as the predicted value;

[0065] (5);

[0066] in: This is a predicted value;

[0067] Step 3.15, Double Moving Average. Compare the predicted value with the actual error to obtain a set of residual values, and perform a double moving average on the obtained residual values;

[0068] (6);

[0069] in: For residuals Moving average over a period of time The number of residuals. For the residual data involved in the movement, Indicates the first The residual data is shifted forward by the [number]th [item]. One location;

[0070] Step 3.16: Based on the weighted moving average and the double moving average, establish a temperature correction model to obtain the corrected temperature value;

[0071] (7);

[0072] in: This is a correction value for temperature.

[0073] In this embodiment, a simulation model of the microreactor is established based on physical information such as the corrected temperature, set flow rate, inlet pressure, and density of the liquid medium in the channel. The pressure value at the outlet of the microreactor is inferred. The specific steps include:

[0074] Step 3.21: Establish a geometric model of the microreactor based on its physical structure, and then perform mesh generation on the established geometric model of the microreactor.

[0075] Step 3.22: Substitute the parameters in the microreactor into the geometric model of the microreactor after mesh generation. The parameters in the microreactor include microchannel material density, tube diameter and thickness, flow rate, diameter of the reaction medium, time, density of reactants, etc.

[0076] Step 3.23: Set the initial temperature and pressure at the inlet of the microreactor's geometric model, according to turbulent flow. Solve the geometric model of the microreactor to obtain the theoretical pressure value at the outlet of the microreactor. Based on the theoretical pressure value and the actual displayed pressure value, judge the safety status of the microreactor. The pressure at the outlet of the microreactor is shown in Equation (8). The pressure at the inlet and outlet of the microreactor satisfies the condition shown in Equation (9).

[0077] (8);

[0078] (9);

[0079] in: Pressure at the export end, Pressure on the import end, For the start time, End time, It is a multi-parameter black-box function. These are, respectively, the liquid density, the liquid flow velocity, and the liquid cross-sectional diameter. For time infinitesimal elements, For the inlet flow rate, The flow velocity at the outlet. It is the acceleration due to gravity. The height at the import point. This refers to the height at the exit.

[0080] The microreactor was tested using this system. The sampling frequency was set to 5 minutes. The temperature data collected from the standard temperature sensor and the temperature sensor under test are shown in the table below:

[0081] Table 1 Temperature Data (°C)

[0082]

[0083] The calculated indication error is:

[0084]

[0085] Following step 3.13, perform a weighted moving average on the above-mentioned error, and take... , , That is, shifting three terms to the right, the calculation result is as follows:

[0086] Table 2 Predicted Values

[0087]

[0088] The error for the next stage is 1.05℃, and the specific prediction results are as follows: Figure 3 As shown.

[0089] The predicted residual values ​​are calculated based on Table 2 as follows:

[0090] ;

[0091] A second simple moving average was performed on the above residual data to obtain... If so, the temperature correction value for the next stage is -1.1℃.

[0092] By substituting the parameters of the actual reactants in the microreactor into the geometric model of the microreactor, the pressure value at the microreactor outlet is deduced. Parameters include: the interior of the microchannel is filled with liquid water with a density of 1000 kg / m³. 3 The inlet temperature is 50℃, the outlet temperature is 20℃, the microchannel diameter is 4mm, and the set time is 300s. The inlet pressure is displayed as 0.2MPa. Calculations suggest the outlet pressure of the microreactor will be as follows: Figure 4 As shown, Figure 4 The total pressure is displayed as 595Pa to 999Pa. Based on the inference in this embodiment, the pressure at the outlet is 0.2006MPa to 0.201MPa.

[0093] It will be understood by those skilled in the art that, unless otherwise defined, all terms used herein (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. It should also be understood that terms such as those defined in general dictionaries should be understood to have the same meaning as in the context of the prior art, and should not be interpreted in an idealized or overly formal sense unless defined as herein.

[0094] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A multi-parameter testing system for a microreactor, characterized in that: The system includes: The data acquisition module is used to collect data from the microreactor, including the composition, temperature, and pressure parameters of the reactants in the microreactor. The spectral module is used to generate spectra to determine the composition of substances, and assists the acquisition module in acquiring the components of reactants; The control and analysis module is used to configure the parameters in the microreactor, monitor and acquire data from the microreactor in real time, and perform modeling and analysis on the data from the microreactor in real time. The modeling and analysis includes establishing a temperature correction model at the inlet to obtain the corrected temperature value and online evaluation of the pressure at the outlet. The acquisition module includes an optical fiber sensor, a temperature sensor, and a pressure sensor. The temperature sensor is a standard temperature sensor. Before data acquisition, the optical fiber sensor is inserted from the inlet of the microreactor into the middle of the microreactor channel to collect the components of the reactants in conjunction with the spectral module. The temperature sensor and pressure sensor are inserted into the inlet of the microreactor to collect the temperature and pressure at the inlet of the microreactor. The specific steps for establishing a temperature correction model at the inlet include: Record the temperature at the inlet of the microreactor detected by the standard temperature sensor and the temperature detected by the temperature sensor under test in the microreactor at the same sampling frequency and at the same time. （1）； （2）； in: This is a data sequence collected by a temperature sensor. This refers to the specific data collected by the temperature sensor at regular intervals. This is the data sequence collected by the temperature sensor under test. This refers to the specific data collected at regular intervals by the temperature sensor under test. Calculate the error between the temperature at the inlet of the microreactor and the temperature detected by the temperature sensor inside the microreactor; （3）； in: For indication error, For specific error values; A weighted moving average model is established based on the indication error to obtain the weighted moving average. （4）； in: for Weighted moving average over a period of time For the indication error involved in the movement, Indicates the first The indication error shifts forward by the first... One location, These are the weighting coefficients; To predict the value for the next stage, the weighted moving average will be used as the predicted value. （5）； in: This is a predicted value; Calculate the residual between the predicted value and the actual error, and then perform a second moving average on the residual; （6）； in: For residuals Moving average over a period of time The number of residuals. For the residual data involved in the movement, Indicates the first The residual data is shifted forward by the [number]th [item]. One location; A temperature correction model is established based on the weighted moving average and the double moving average to obtain the corrected temperature value; （7）； in: This is a correction value for temperature.

2. The multi-parameter testing system in a microreactor according to claim 1, characterized in that: The spectral module includes a light source, a mirror, an interferometer, and a detector.

3. The multi-parameter testing system in a microreactor according to claim 1, characterized in that: The online assessment of pressure at the export point specifically includes: A geometric model of the microreactor is established based on its physical structure, and then the established geometric model of the microreactor is meshed. The parameters in the microreactor are substituted into the geometric model of the microreactor after mesh generation; The initial temperature and pressure at the inlet of the microreactor's geometric model are set according to turbulent flow. Solve the geometric model of the microreactor to obtain the theoretical pressure value at the outlet of the microreactor. Based on the theoretical pressure value and the actual displayed pressure value, judge the safety status of the microreactor. The pressure at the outlet of the microreactor is shown in Equation (8). The pressure at the inlet and outlet of the microreactor satisfies the condition shown in Equation (9). （8）； （9）； in: Pressure at the export end, Pressure at the import point For the start time, End time, It is a multi-parameter black-box function. These are, respectively, the liquid density, the liquid flow velocity, and the liquid cross-sectional diameter. For time infinitesimal elements, For the inlet flow rate, The flow velocity at the outlet. It is the acceleration due to gravity. The height at the import point. This refers to the height at the exit.

4. The test method for a multi-parameter test system in a microreactor according to any one of claims 1 to 3, characterized in that: include: Configure the parameters in the microreactor, including sampling frequency, flow rate in the microreactor, pressure at the inlet, density of the liquid medium in the channel, and temperature at the inlet; Data is collected from the microreactor, including the composition, temperature, and pressure parameters of the reactants in the microreactor. The temperature includes the temperature at the inlet of the microreactor detected by a standard temperature sensor and the temperature detected by the temperature sensor under test in the microreactor. Modeling and analysis are performed based on the data collected from the microreactor and the parameters configured in the microreactor, including establishing a temperature correction model at the inlet and online assessment of the pressure at the outlet.

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