Concrete carbon sequestration parameter optimization method and carbon sequestration pre-reaction system thereof

Abstract

The invention discloses a concrete carbon sequestration parameter optimization method and a carbon sequestration pre-reaction system thereof, and relates to the technical field of concrete carbon sequestration. S2, collecting basic data in the sample brick, wherein the basic data comprises the content and density of calcium hydroxide and the maximum particle size in aggregate; s3, acquiring an initial carbon dioxide replenishment amount based on the input into the central control module in the step S2; s4, setting gradient reaction conditions for the reaction kettle based on the initial carbon dioxide supply amount as an intermediate value; s5, distributing gradient reaction conditions to the corresponding carbon sequestration reaction bins; s6, monitoring a carbon dioxide consumption rate and a sample brick carbonization strength curve in each carbon sequestration reaction bin; s7, establishing a mapping model of concentration, time and intensity; s8, industrial reaction kettle control parameters are output, and the problem that in the prior art, the carbon dioxide input amount cannot be dynamically adjusted according to different batches of concrete raw materials, and consequently the concrete forming strength does not reach the standard is solved.

Description

Technical Field

[0001] This invention relates to the field of concrete carbon fixation technology, specifically to a method for optimizing concrete carbon fixation parameters and a pre-reaction system for carbon fixation. Background Technology

[0002] In the field of construction waste resource utilization, concrete carbon sequestration technology has become an important technical path to achieve synergistic improvement in carbon sequestration and material performance. Traditional processes involve adjusting cement content, pressing solid waste such as construction waste concrete and bricks into molds, pre-curing them, and then placing them in an oxidation reactor for carbon dioxide carbonation. This utilizes the chemical reaction between calcium hydroxide and carbon dioxide in the concrete to generate carbonate crystals, achieving permanent carbon dioxide sequestration while significantly improving the compressive strength and durability of the bricks. However, in actual production, it has been found that fluctuations in the waste composition of different batches of raw materials and differences in pre-curing compaction lead to significant non-linear changes in the carbon dioxide concentration requirement and optimal reaction time for each batch of bricks during the carbonation reaction. Existing industrial carbonization equipment with fixed parameters cannot achieve precise control. Excessive carbon dioxide input in the reactor can easily cause structural embrittlement due to over-carbonation or performance defects due to insufficient carbonation, while insufficient input cannot maximize the carbon sequestration effect of the concrete. Therefore, developing a system capable of rapid pre-reaction testing based on the characteristics of each batch of raw materials and real-time optimization of carbon sequestration parameters has become a key requirement for overcoming the bottleneck in the industrial application of concrete carbon sequestration technology. Summary of the Invention

[0003] This invention provides a method for optimizing carbon sequestration parameters in concrete and a carbon sequestration pre-reaction system, which solves the problem in the prior art that the amount of carbon dioxide input cannot be dynamically adjusted for different batches of concrete raw materials, resulting in substandard concrete forming strength.

[0004] A method for optimizing carbon sequestration parameters in concrete includes: S1. Pre-curing the raw materials to form sample bricks; S2. Collect basic data from the sample bricks, including calcium hydroxide content, density, and maximum particle size in the aggregate; S3. Based on the input in step S2, obtain the initial carbon dioxide replenishment amount from the central control module; S4. Set gradient reaction conditions for the reactor based on the initial carbon dioxide supply as the intermediate value; S5. Distribute the gradient reaction conditions to the corresponding carbon fixation reaction chambers; S6. Monitor the carbon dioxide consumption rate and carbonization intensity curve of the sample bricks in each carbon fixation reaction chamber; S7. Establish a mapping model of concentration, time, and intensity; S8 outputs industrial reactor control parameters.

[0005] Furthermore, the calculation of the initial carbon dioxide supply includes the theoretical consumption of carbon dioxide and the property correction. The theoretical consumption is the amount of carbon dioxide required by the calcium hydroxide content in the sample brick. The property correction is the diffusion efficiency coefficient obtained based on the sample brick density and the maximum particle size of the aggregate, thereby calculating the carbon dioxide correction.

[0006] Furthermore, the range for setting gradient reaction conditions includes: The lower limit is 70% to 80% of the initial carbon dioxide supply. The upper limit is 120% to 130% of the initial carbon dioxide supply. The gradient intervals are distributed in an arithmetic / geometric manner to ensure uniform data coverage.

[0007] Furthermore, the mapping model is established based on a multivariate nonlinear regression model.

[0008] Furthermore, the output of the control parameters for the industrial reactor is traversed in the mapping model using a grid search algorithm.

[0009] Secondly, embodiments of the present invention provide a concrete carbon fixation pre-reaction system, including a reactor, the reactor including a plurality of carbon fixation reaction chambers, a sealed chamber door provided on the front side of the carbon fixation reaction chamber, a carbon dioxide gas tank provided on the outside of the reactor, a carbon dioxide gas inlet module connected to the carbon dioxide gas tank provided inside the carbon fixation reaction chamber, a monitoring module provided inside the carbon fixation reaction chamber, and a central control module provided outside the reactor, the central control module being electrically connected to the monitoring module and the carbon dioxide gas inlet module respectively.

[0010] Furthermore, the carbon dioxide intake module includes an intake valve disposed inside the carbon fixation reaction chamber, and the outlet of the carbon dioxide tank is provided with a main gas pipe connected to the inside of the reaction vessel, with each intake valve connected to the main gas pipe.

[0011] Furthermore, the carbon fixation reaction chamber is also equipped with a pressure relief module, which includes a pressure relief pipe installed at the top of the reaction vessel, a pressure relief valve installed in the carbon fixation reaction chamber, the pressure relief valve being connected to the pressure relief pipe, and the pressure relief valve being electrically connected to the central control module.

[0012] Furthermore, the monitoring module includes a carbon dioxide concentration sensor, a stress sensor, and a temperature and humidity sensor.

[0013] Furthermore, the control module includes: The data processing unit is used to receive sample brick foundation data and sensor data; The calculation unit is used to perform the initial carbon dioxide supply calculation and the allocation of gradient reaction conditions in the reactor. The execution module is used to receive gradient reaction conditions and regulate the injection amount of the carbon dioxide intake module; The modeling unit is used to construct a mapping model of concentration, time, and carbonization intensity of the sample brick; The parameter output unit is used to generate industrial reactor control commands.

[0014] The beneficial effects of the above-described technical solutions provided in the embodiments of the present invention include at least the following: This invention achieves precise optimization of the carbon sequestration process through multi-parameter intelligent control. The system first performs basic characteristic testing on sample bricks pressed from construction waste to obtain key parameters such as calcium hydroxide content, density, and aggregate particle size. These parameters are then input into a central control module. The initial supply amount is calculated based on theoretical carbon dioxide consumption and property corrections. Using this as a center value, gradient experimental conditions including concentration gradient, reaction time, and monitoring frequency are set. In a small, multi-chamber reactor, each independent carbon sequestration chamber undergoes carbonization under preset conditions. Real-time monitoring of the reaction process data is achieved through built-in carbon dioxide concentration sensors and stress sensors. Finally, a concentration-time-strength mapping relationship is established based on a multivariate nonlinear regression model. A grid search algorithm is used to output the industrial reactor control parameters that meet strength requirements and are cost-effective. The use of multi-dimensional monitoring and adaptive modeling technology solves the problems of over-carbonization or under-carbonization caused by fluctuations in waste composition in traditional processes, avoiding structural embrittlement or substandard performance. The parameter optimization algorithm achieves precise matching of carbon dioxide supply and reaction time, reducing the energy consumption of industrial-grade reactors while ensuring carbon sequestration efficiency, providing key technical support for the large-scale application of concrete carbon sequestration technology.

[0015] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the written description, claims, and drawings.

[0016] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the process flow for optimizing carbon sequestration parameters in concrete, as disclosed in an embodiment of the present invention. Figure 2This is a communication block diagram of a concrete carbon sequestration pre-reaction system disclosed in an embodiment of the present invention; Figure 3 This is a structural schematic diagram of a concrete carbon sequestration pre-reaction system disclosed in an embodiment of the present invention.

[0018] Figure label: 10. Reactor; 11. Carbon fixation reaction chamber; 12. Sealed chamber door; 13. Carbon dioxide gas tank; 14. Carbon dioxide inlet module; 1401. Inlet valve; 15. Pressure relief module; 1501. Pressure relief valve; 16. Monitoring module; 1601. Carbon dioxide concentration sensor; 1602. Stress sensor; 1603. Temperature and humidity sensor; 20. Central control module; 21. Data processing unit; 22. Calculation unit; 23. Execution module; 24. Modeling unit; 25. Parameter output unit. Detailed Implementation

[0019] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art. Example

[0020] like Figure 1 As shown in the figure, this embodiment of the invention provides a method for optimizing carbon sequestration parameters in concrete, including the following steps: S1. Pre-curing the raw materials to form sample bricks.

[0021] S2. Collect basic data from the sample bricks, including calcium hydroxide content, density, and maximum particle size in the aggregate. The calcium hydroxide content was analyzed using X-ray diffraction (XRD). Approximately 10g of powder was taken from the crushed brick sample, ground to ≤75μm (200 mesh sieve), and then the powder was pressed into a flat sample. The sample was placed on the XRD sample stage, the scanning range was set (e.g., 5°~70° 2θ angle), and the diffraction peaks were detected after X-ray irradiation. The diffraction peaks of standard calcium hydroxide (e.g., 18°, 34°, 47° 2θ angle) were compared with those of standard calcium hydroxide. The mass percentage was calculated from the peak area, and the calcium hydroxide content was finally output.

[0022] The density of the sample bricks can be determined using the drainage method (Archimedes' principle).

[0023] The maximum aggregate particle size was determined using a sieve analysis method and image analysis assistance. After crushing the sample brick, it was passed through sieves of 10mm, 5mm, and 2.36mm in sequence. The mass of aggregate in each particle size range was weighed, and the particle size range with a mass percentage greater than 60% (e.g., 65% of the 5-10mm range) was selected. The upper limit value (10mm) was recorded. Representative aggregates were photographed, and the long axis length of the particles was measured using software such as ImageJ. The 95th percentile value (e.g., 9.8mm) was calculated, and finally the maximum aggregate particle size was output.

[0024] It should be noted that since the raw materials for the sample bricks mainly come from construction waste, at least 10 sets of data are needed to ensure that the initial carbon dioxide supply is accurate and accurate. The average value after removing the peak values ​​is taken as the basic data for the sample bricks.

[0025] S3. Input the basic data of the sample brick into the data processing unit 21 of the central control module 20. The initial carbon dioxide supply is obtained through the calculation unit 22. The calculation of the initial carbon dioxide supply includes the theoretical consumption of carbon dioxide and the property correction. The theoretical consumption is the theoretical carbon dioxide demand of the calcium hydroxide content in the sample brick. The property correction is the diffusion efficiency coefficient obtained based on the density of the sample brick and the maximum particle size of the aggregate. That is, the high-density brick has low porosity and high diffusion resistance of carbon dioxide. It is necessary to extend the reaction time or increase the carbon dioxide concentration to compensate for insufficient penetration. Therefore, the density is converted into the diffusion efficiency coefficient (e.g., density 1.8g / cm³ → coefficient 0.7) through the density-permeability coefficient comparison table calibrated by the experiment. Large-diameter aggregates (e.g., >10mm) will form macropores, and carbon dioxide can easily penetrate quickly but the reaction area is small. Small-diameter aggregates (e.g., <5mm) are the opposite. Therefore, the effective reaction area ratio is calculated according to the particle size distribution model (e.g., particle size 8mm → area ratio 0.85). The two are combined for correction, that is, the theoretical demand is multiplied by the density coefficient and the area ratio to obtain the corrected carbon dioxide amount.

[0026] S4. Calculation unit 22 sets gradient reaction conditions based on the initial carbon dioxide supply as an intermediate value for reactor 10. The range of gradient reaction conditions includes: The lower limit is 70% to 80% of the initial carbon dioxide supply. The upper limit is 120% to 130% of the initial carbon dioxide supply. The gradient intervals are distributed in an arithmetic / geometric manner to ensure uniform data coverage.

[0027] It should be noted that if there is uncertainty in the initial carbon dioxide supply (e.g., large fluctuations in waste composition leading to uncertainty in the value taken in step S2), the gradient range can be expanded (e.g., 50% to 150% of the initial carbon dioxide supply).

[0028] The parameters that accompany gradient reaction conditions also include: For the reaction time, all carbon fixation reaction chambers 11 are uniformly set to the estimated initial time (e.g., 8 hours), or adjusted proportionally according to the concentration (e.g., shorten the time for high-concentration chambers). The monitoring frequency is as follows: the carbon dioxide concentration in the carbon fixation reaction chamber 11 is recorded every 15 minutes, and the strength of the sample bricks is collected every hour.

[0029] S5. The execution module 23 distributes the gradient reaction conditions to the corresponding carbon fixation reaction chamber 11. After several chamber doors are closed, the carbon dioxide intake module 14 can be controlled to replenish carbon dioxide in the carbon fixation reaction chamber 11.

[0030] S6. Monitor the carbon dioxide consumption rate and carbonization intensity curve of the sample brick in each carbon fixation reaction chamber 11.

[0031] S7. Modeling unit 24 constructs a mapping model of concentration, time and strength. The mapping model is based on a multivariate nonlinear regression model. This model establishes a quantitative relationship between carbon dioxide concentration, reaction time and concrete sample brick strength by analyzing experimental data. It is used to predict the optimal parameters (input any combination of concentration and time to quickly predict the final strength and avoid repeated trial and error) and guide industrial production (provide the reactor 10 with accurate CO2 dosage and reaction time to ensure the quality of each batch of bricks is stable).

[0032] The specific model building steps include: Input data: gradient experimental carbon dioxide concentration setpoints for each carbon fixation reaction chamber 11, real-time recorded carbon dioxide consumption time, and sample brick strength; Supporting data: calcium hydroxide content, density, and aggregate particle size of the sample bricks (used to correct the model). Input the above data into the model, and the model will automatically fit the relationship curve between concentration, time and intensity.

[0033] The fitting method uses the least squares method or maximum likelihood estimation. This fitting method is an existing technology and can be implemented using existing tools such as Python's scipy.optimize.curve_fit or MATLAB's nonlinear fitting toolbox. Therefore, the specific implementation steps will not be described in detail.

[0034] S8 and parameter output unit 25 are used to output control parameters of industrial reactor 10. The output of control parameters of industrial reactor 10 adopts a grid search algorithm to traverse the mapping model. That is, by dividing the possible carbon dioxide supply and reaction time combinations into discrete "grid points", inputting them one by one into the mapping model to calculate the predicted intensity, and finally selecting the parameter combination that meets the intensity requirements and has the lowest cost.

[0035] Its implementation steps include: Define the parameter search space, namely the range of carbon dioxide supply and the range of reaction time; Construct a parameter combination grid, arranging all possible combinations of the carbon dioxide supply range and the reaction time range into a two-dimensional grid; Traverse the grid points and evaluate them. Call the established mapping model to calculate the predicted intensity of the sample brick at each grid point. If the predicted intensity is greater than or equal to the target intensity, record the parameter combination as a feasible solution; otherwise, skip it. Furthermore, based on economic screening, the combination with the minimum carbon dioxide consumption is selected from all feasible solutions; The final output of the optimal grid point corresponds to the carbon dioxide supply and reaction time as the control parameters of the industrial reactor 10. Example

[0036] This invention also discloses a concrete carbon sequestration pre-reaction system, such as... Figure 2-3 As shown, the reactor includes a reactor 10, which includes several carbon fixation reaction chambers 11. A sealed chamber door 12 is provided on the front side of the carbon fixation reaction chamber 11. A carbon dioxide gas tank 13 is provided on the outside of the reactor 10. A carbon dioxide inlet module 14 connected to the carbon dioxide gas tank 13 is provided inside the carbon fixation reaction chamber 11. A monitoring module 16 is also provided inside the carbon fixation reaction chamber 11. A central control module 20 is provided on the outside of the reactor 10. The central control module 20 is electrically connected to the monitoring module 16 and the carbon dioxide inlet module 14, respectively.

[0037] In this embodiment, the carbon dioxide intake module 14 includes an intake valve 1401 disposed inside the carbon solidification reaction chamber 11, and the outlet of the carbon dioxide tank 13 is provided with a main gas pipe connected to the inside of the reaction vessel 10. Each intake valve 1401 is connected to the main gas pipe.

[0038] Furthermore, a pressure relief module 15 is also provided inside the carbon fixation reaction chamber 11. The pressure relief module 15 includes a pressure relief pipe installed at the top of the reactor 10, one end of which is connected to the outside. A pressure relief valve 1501 is installed inside the carbon fixation reaction chamber 11. Several pressure relief valves 1501 in the carbon fixation reaction chamber 11 are connected in parallel to the pressure relief pipe. The pressure relief valve 1501 is electrically connected to the central control module 20. The pressure relief module 15 is used to prevent the pressure inside the carbon fixation reaction chamber 11 from becoming too high after the reaction is completed, which would prevent the sealed chamber door 12 from being unable to open. The pressure inside the chamber is kept equal to the external pressure by controlling the opening of the pressure relief valve 1501.

[0039] In this embodiment, the monitoring module 16 includes a carbon dioxide concentration sensor 1601, a stress sensor 1602, and a temperature and humidity sensor 1603.

[0040] Furthermore, the control module includes: Data processing unit 21 is used to receive sample brick foundation data and sensor data; Calculation unit 22 is used to perform the initial carbon dioxide supply calculation and the distribution of gradient reaction conditions in reactor 10. The execution module 23 is used to receive gradient reaction conditions and regulate the injection amount of carbon dioxide intake module 14; Modeling unit 24 is used to construct a mapping model of concentration, time, and carbonization intensity of the sample brick; The parameter output unit 25 is used to generate control commands for the industrial reactor 10.

[0041] It should be understood that the specific order or hierarchy of steps in the disclosed process is an example of an exemplary method. Based on design preferences, it should be understood that the specific order or hierarchy of steps in the process may be rearranged without departing from the scope of this disclosure. The appended method claims provide elements of various steps in an exemplary order and are not intended to limit the scope to the specific order or hierarchy described.

[0042] In the detailed description above, various features are combined together in a single embodiment to simplify this disclosure. This approach to disclosure should not be construed as reflecting an intention that embodiments of the claimed subject matter require more features than are explicitly stated in each claim. Rather, as reflected in the appended claims, the invention is presented with fewer features than all of the features in a single disclosed embodiment. Therefore, the appended claims are hereby explicitly incorporated into the detailed description, with each claim representing a separate preferred embodiment of the invention.

[0043] Those skilled in the art will also understand that the various illustrative logic blocks, modules, circuits, and algorithm steps described in conjunction with the embodiments herein can be implemented as electronic hardware, computer software, or a combination thereof. To clearly illustrate the interchangeability between hardware and software, the various illustrative components, blocks, modules, circuits, and steps described above are generally described in terms of their functionality. Whether such functionality is implemented as hardware or software depends on the specific application and the design constraints imposed on the overall system. Those skilled in the art can implement the described functionality in alternative ways for each specific application; however, such implementation decisions should not be construed as departing from the scope of this disclosure.

[0044] The steps of the methods or algorithms described in conjunction with the embodiments herein can be directly embodied in hardware, software modules executed by a processor, or a combination thereof. The software modules can reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disks, removable disks, CD-ROMs, or any other form of storage medium well known in the art. An exemplary storage medium is connected to the processor, enabling the processor to read information from and write information to the storage medium. Of course, the storage medium can also be a component of the processor. The processor and storage medium can reside in an ASIC. The ASIC can reside in a user terminal. Alternatively, the processor and storage medium can exist as discrete components in the user terminal.

[0045] For software implementation, the techniques described in this application can be implemented using modules (e.g., procedures, functions, etc.) that perform the functions described in this application. This software code can be stored in memory units and executed by a processor. The memory units can be implemented within the processor or outside the processor; in the latter case, they are communicatively coupled to the processor via various means, as is well known in the art.

[0046] The foregoing description includes examples of one or more embodiments. It is certainly impossible to describe all possible combinations of components or methods in order to describe the above embodiments, but those skilled in the art will recognize that further combinations and arrangements of the various embodiments are possible. Therefore, the embodiments described herein are intended to cover all such changes, modifications, and variations that fall within the scope of the appended claims. Furthermore, the term "comprising" as used in the specification or claims is interpreted in a manner similar to the term "including," as interpreted when used as a conjunction in the claims. Additionally, the use of any term "or" in the specification of the claims is intended to mean "non-exclusive or."

Claims

1. A method for optimizing carbon sequestration parameters in concrete, characterized in that, include: S1. Pre-curing the raw materials to form sample bricks; S2. Collect basic data from the sample bricks, including calcium hydroxide content, density, and maximum particle size in the aggregate; S3. Based on the input in step S2, the initial carbon dioxide supply is obtained into the central control module (20); S4. Based on the initial carbon dioxide supply as the intermediate value, set gradient reaction conditions for the reactor (10); S5. Distribute the gradient reaction conditions to the corresponding carbon fixation reaction chamber (11); S6. Monitor the carbon dioxide consumption rate and carbonization intensity curve of the sample brick in each carbon fixation reaction chamber (11); S7. Establish a mapping model of concentration, time, and intensity; S8, Output industrial reactor (10) control parameters.

2. The method for optimizing concrete carbon sequestration parameters as described in claim 1, characterized in that, The calculation of the initial carbon dioxide supply includes the theoretical consumption of carbon dioxide and the property correction. The theoretical consumption is the amount of carbon dioxide required by the calcium hydroxide content in the sample brick. The property correction is the diffusion efficiency coefficient obtained based on the sample brick density and the maximum particle size of the aggregate, and thus the carbon dioxide correction is calculated.

3. The method for optimizing concrete carbon sequestration parameters as described in claim 1, characterized in that, The range of gradient reaction conditions includes: The lower limit is 70% to 80% of the initial carbon dioxide supply. The upper limit is 120% to 130% of the initial carbon dioxide supply. The gradient intervals are distributed in an arithmetic / geometric manner to ensure uniform data coverage.

4. The method for optimizing concrete carbon sequestration parameters as described in claim 1, characterized in that, The mapping model is based on a multivariate nonlinear regression model.

5. The method for optimizing concrete carbon sequestration parameters as described in claim 1, characterized in that, The output of the control parameters of the industrial reactor (10) is traversed in the mapping model using a grid search algorithm.

6. A concrete carbon sequestration pre-reaction system, characterized in that, The reactor includes a reaction vessel (10), which includes several carbon fixation reaction chambers (11). A sealed chamber door (12) is provided on the front side of the carbon fixation reaction chamber (11). A carbon dioxide gas tank (13) is provided on the outside of the reaction vessel (10). A carbon dioxide inlet module (14) connected to the carbon dioxide gas tank (13) is provided inside the carbon fixation reaction chamber (11). A monitoring module (16) is also provided inside the carbon fixation reaction chamber (11). A central control module (20) is provided outside the reaction vessel (10). The central control module (20) is electrically connected to the monitoring module (16) and the carbon dioxide inlet module (14) respectively.

7. A concrete carbon sequestration pre-reaction system as described in claim 6, characterized in that, The carbon dioxide intake module (14) includes an intake valve (1401) disposed inside the carbon solidification reaction chamber (11). The outlet of the carbon dioxide tank (13) is provided with a main gas pipe connected to the inside of the reaction vessel (10). Each intake valve (1401) is connected to the main gas pipe.

8. A concrete carbon sequestration pre-reaction system as described in claim 6, characterized in that, The carbon fixation reaction chamber (11) is also equipped with a pressure relief module (15). The pressure relief module (15) includes a pressure relief pipe installed on the top of the reactor (10). The carbon fixation reaction chamber (11) is equipped with a pressure relief valve (1501). The pressure relief valve (1501) is connected to the pressure relief pipe and is electrically connected to the central control module (20).

9. A concrete carbon sequestration pre-reaction system as described in claim 6, characterized in that, The monitoring module (16) includes a carbon dioxide concentration sensor (1601), a stress sensor (1602), and a temperature and humidity sensor (1603).

10. A concrete carbon sequestration pre-reaction system as described in claim 6, characterized in that, The control module includes: The data processing unit (21) is used to receive sample brick foundation data and sensor data; The calculation unit (22) is used to perform the initial carbon dioxide supply calculation and the gradient reaction condition allocation of the reactor (10). The execution module (23) is used to receive gradient reaction conditions and regulate the injection amount of the carbon dioxide intake module (14); Modeling unit (24) is used to construct a mapping model of concentration, time and carbonization intensity of sample bricks; The parameter output unit (25) is used to generate control commands for the industrial reactor (10).

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