Control apparatus and method using pyrolysis raw material and product image information

Abstract

To provide a control apparatus and method using a pyrolysis raw material and product image information.SOLUTION: A pyrolysis reaction method comprises: a raw material input step of acquiring first data while inputting a raw material; a pyrolysis reaction step of moving the raw material while pyrolyzing the same; a reaction product discharge step of acquiring second data while discharging a pyrolysis reaction product; an image sample collection step of additionally securing the number of image samples of the first data and the second data; a DB storage step of normalizing the secured image samples into time-series data and storing RGB code values in a DB; a labeling step of assigning labels to the first data and the second data based on the stored DB values; a data processing step of generating third data as estimated moisture content and fourth data as estimated calorific value by utilizing the first data and the second data; and a control value derivation step of deriving control values for pyrolysis temperature and pyrolysis time required to ensure a calorific value-based quality of the pyrolyzed reaction product based on the third data and the fourth data.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a control device and method using pyrolysis raw material and product image information. More specifically, it monitors the input solid raw material and pyrolysis solid product image, and enables efficient pyrolysis reaction through real-time AI analysis and operation variable control.

Background Art

[0002] Biofuels produced from biomass are decomposed into water and carbon dioxide during combustion. The carbon dioxide thus emitted is reabsorbed into the biomass by photosynthesis as organisms grow and is once again included in the components of the biomass. Therefore, it is defined as a carbon-neutral fuel. However, due to the characteristics of biomass, the water content is high, resulting in a low calorific value. As a result, the operating efficiency and energy production efficiency decrease during its own combustion, and there is a demand for improving the quality of biomass fuel through a semi-carbonization process at a temperature of 250°C to 300°C under anaerobic conditions.

[0003] In addition, the carbon in biochar produced by pyrolyzing biomass at 350°C or higher under limited oxygen conditions is rearranged in a stable structural form and can isolate carbon in the soil for a long time without being decomposed by microorganisms or the like when put into the soil. Therefore, in recent years, it has received much attention as a technology for mitigating climate change. Biochar can semi-permanently isolate the carbon source put into the soil in the soil due to its safety in the soil, reduce greenhouse gas emissions, and has the effect of increasing crop yields through soil improvement.

[0004] The most common reactor form in the biomass pyrolysis process is the rotary kiln method, in which heat and substances are transferred between biomass particles and a heat source medium by a kiln that rotates around a rotating shaft. The rotary kiln reactor is a technology proven in various application fields and can directly or indirectly pyrolyze biomass using hot air generated through combustion. The flow of the feedstock and the heat source medium can be configured in co-current or counter-current, and generally, it is configured in a co-current manner to promote drying. Since each biomass particle moves while rotating due to the rotation of the kiln, the residence time of the biomass in the reactor can be adjusted by the rotation speed and inclination of the kiln.

[0005] Image recognition and interpretation technology is a technology that enables the recognition and classification of surrounding things with the development of recent AI technology. By learning various types of images, it searches for distinguishable features such as hue and form, accurately recognizes each feature by cross-referencing with thousands of other images, and can assign labels. Therefore, meaningful use cases are increasing as AI object recognition technology is integrated into the quality control process of recent production products.

[0006] Conventional rotary kiln technology controls operations such as hot air volume and rotation speed only depending on the reaction temperature measured from the thermocouple. Due to the difficulty of taking preemptive measures against fluctuations caused by the drawing-in conditions of the target raw material, it is difficult to ensure the quality and production volume of the final product. Therefore, it is necessary to be utilized as operation parameters for control such as hot air volume and kiln rotation speed through real-time estimation of quality from image recognition and analysis of raw materials and products.Korean Patent Publication No. 10-1807077 relates to an indirect rotary kiln reactor, which includes a dry material inlet for introducing dry material, a dry material outlet through which the introduced dry material is discharged, an inner cylinder which is a passage for the introduced dry material to move, an outer cylinder which surrounds the inner cylinder and is a passage for hot air supplied from the outside to move, a hot air supply pipe for supplying hot air to the outer cylinder, and a hot air discharge pipe through which the supplied hot air is discharged. The hot air supply pipe supplies hot air to at least two or more distinct areas of the outer cylinder, and the hot air and the dry material do not come into direct contact. The outer cylinder includes partition plates that divide it into at least two or more areas corresponding to the hot air supplied from the hot air supply pipe. One end of each partition plate is connected to the outer cylinder, and the other end is formed to have a certain distance from the inner cylinder. The hot air supplied through the hot air supply pipe can move to adjacent areas through the space between it and the inner cylinder. The partition plates in the upper space of the outer cylinder and those in the lower space of the outer cylinder are formed alternately. It includes hot air branch pipes that supply hot air to each area of the outer cylinder divided by the partition plates while branching from the hot air supply pipe. The hot air branch pipes include control valves that can adjust the amount of hot air flowing inside. It also includes multi-point thermocouples installed on the inner cylinder so as to sense the internal reaction temperature of the inner cylinder corresponding to the areas divided by the partition plates installed on the outer cylinder, and a heat source supply amount control unit that adjusts the control valves according to the internal reaction temperature of the inner cylinder measured by the multi-point thermocouples. It includes a product gas discharge pipe connected to the inner cylinder through which gas products generated during the process of drying the dry material by the hot air are discharged. The product gas discharge pipe and the hot air discharge pipe are formed in a double structure such that the product gas discharge pipe can pass through the inside of the hot air discharge pipe. The hot air for drying the dry material is adjusted by the reaction temperature gradient of the inner cylinder and is supplied to distinct areas of the outer cylinder, providing an indirect rotary kiln reactor.

[0007] Japanese Patent Application Laid-Open No. 2008-180451 relates to an externally heated rotary kiln and its operating method, and includes a kiln inner cylinder that rotates in the axial direction and an outer cylinder that allows a heating gas to flow around the kiln inner cylinder. In the externally heated rotary kiln that heat-treats a workpiece while axially transferring it inside the kiln inner cylinder, the kiln inner cylinder is rotatably supported by a movable-side end portion and a fixed-side end portion that are axially movable, and includes means for measuring the amount of thermal expansion of the kiln inner cylinder in the axial direction, and a plurality of non-contact thermometers for measuring the shell temperature at a plurality of positions in the axial direction of the kiln inner cylinder on the peripheral wall portion of the outer cylinder. An externally heated rotary kiln is provided, characterized by the above.

[0008] Japanese Patent No. 6090994 relates to a carbide manufacturing method and a carbide quality inspection method, and is a carbide manufacturing method for manufacturing carbide from biomass using a carbonizer. The optical characteristics indicating the hue of the carbide and the grindability of the carbide are measured for each carbonization condition under which the carbide is manufactured, and a first carbonization condition as the carbonization condition corresponding to a carbide having a desired grindability is specified from the profile. The optical characteristics of the carbide manufactured by the carbonizer are measured, and a second carbonization condition as the carbonization condition corresponding to the optical characteristics is specified from the profile. A carbide manufacturing method is provided, characterized by controlling the carbonizer so that the second carbonization condition matches the first carbonization condition.

[0009] Korean Registered Patent No. 10-1728665 relates to a method for predicting the calorific value of semi-carbonized biomass using a color difference measurement method, and includes steps of processing and drying woody biomass, charging the woody biomass into a semi-carbonization reactor, creating an oxygen-free atmosphere by charging nitrogen gas into the reactor while heating the reactor, and heat-treating under high-temperature inert conditions to semi-carbonize. After pulverizing the biomass to measure the color difference between the original woody biomass and the semi-carbonized biomass, a disk is made by compressing the obtained wood powder, and this is measured with a color difference meter. A method for predicting the calorific value of semi-carbonized biomass using a color difference measurement method is provided, characterized by being configured to include the above steps.

[0010] The prior art only senses the internal reaction temperature of the kiln and controls the reaction temperature through control valves, etc., and does not disclose a real-time method for tracking the calorific value based on the hue of the product and controlling the device using an image viewer such as a camera on the discharge port side where the manufactured product is discharged. Therefore, there is a problem that the continuous operation of the device stops for efficient energy management of the device and confirmation of the product state.

Prior Art Documents

Patent Documents

[0011]

Patent Document 1

Patent Document 2

Patent Document 3

Patent Document 4

Summary of the Invention

Problems to be Solved by the Invention

[0012] The prior art cannot perform operation control through observation in the environment inside the reactor where it is difficult to secure the field of view. It only depends on the reaction temperature measured by the thermocouple to control operations such as the hot air volume and the rotation speed, and there is a problem that it is difficult to ensure the quality of the final product due to the difficulty in coping with fluctuations due to the drawing conditions of the target raw material.

[0013] Also, the prior art requires a certain amount of time until confirmation is made through separate moisture content analysis for the raw material to be drawn in and separate calorific value analysis for the product, and has a problem that it cannot function as a parameter for real-time operation control. Therefore, it is necessary to utilize it as an operation parameter for control of the hot air volume and the kiln rotation speed through real-time estimation.

Means for Solving the Problems

[0014] To achieve such an object, the present invention includes a raw material input stage for acquiring first data through first monitoring means while raw materials are being input, a pyrolysis reaction stage in which the input raw materials move while being pyrolyzed, a reactant discharge stage for acquiring second data through second monitoring means while discharging the pyrolyzed reactants, an image sample collection stage for improving the accuracy of the first data and the second data and additionally ensuring the number of image samples, a DB storage stage for normalizing the ensured image samples into time-series data and storing the RGB code values in a DB, a labeling stage for labeling the first data and the second data based on the stored DB values, the label of the first data deriving the correlation between the RGB value and the moisture content by assigning a moisture content evaluation value, and the label of the second data deriving the correlation between the RGB value and the calorific value by assigning a calorific value evaluation value, and a data processing stage for generating third data which is an estimated moisture content and fourth data which is an estimated calorific value by utilizing the first data and the second data after comparing with the data stored in the DB through simulation, and a control value derivation stage for deriving control values of the pyrolysis temperature and the pyrolysis time required to ensure the calorific value-based quality of the reactants pyrolyzed based on the third data and the fourth data generated through the data processing stage. The pyrolysis reaction stage provides a pyrolysis reaction method using a pyrolysis reaction means in which any one or more of semi-carbonization, biochar reaction, drying, activated carbon reaction, and carbonization are performed.

[0015] Also, in the control value derivation stage, the pyrolysis temperature can control any one or more of the raw material supply motor rotation speed of the hot blast stove, the air supply motor rotation speed of the hot blast stove, and the dilution air supply motor rotation speed of the gas mixer.

[0016] Also, in the control value derivation stage, the pyrolysis time can control any one or more of the drive motor rotation speed of the rotary kiln and the raw material supply motor rotation speed.

[0017] Also, a raw material input means for acquiring first data through a first monitoring means while a raw material is being input, a pyrolysis reaction stage in which the input raw material moves while being pyrolyzed, a reactant discharge means for acquiring second data through a second monitoring means while discharging the pyrolyzed reactant, an image sample collection means for improving the accuracy of the first data and the second data and additionally ensuring the number of image samples, a DB storage means for normalizing the ensured image samples into time-series data and storing RGB code values in a DB, a labeling stage for labeling the first data and the second data based on the stored DB values, the label of the first data derives the correlation between the RGB value and the moisture content by assigning a moisture content evaluation value, the label of the second data derives the correlation between the RGB value and the calorific value by assigning a calorific value evaluation value, and after comparing with the data stored in the DB through simulation, data processing means for generating third data which is the estimated moisture content and fourth data which is the estimated calorific value by utilizing the first data and the second data, and a control value derivation means for deriving control values of the pyrolysis temperature and the pyrolysis time necessary for ensuring the calorific value-based quality of the reactant pyrolyzed based on the third data and the fourth data generated through the data processing stage, wherein the pyrolysis reaction stage can provide a pyrolysis reaction apparatus using a pyrolysis reaction means in which any one or more of semi-carbonization, biochar reaction, drying, activated carbon reaction, and carbonization are performed.

[0018] Also, the present invention can be provided in a form in which various combinations of the means for solving the above problems are made.

Effects of the Invention

[0019] Through the pyrolysis reaction apparatus of the present invention, it is possible to analyze in real time the moisture content of the raw material input in real time and the calorific value information of the reactant discharged, and efficient energy management and operation are possible.

Brief Description of the Drawings

[0020]

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Modes for Carrying Out the Invention

[0021] Hereinafter, with reference to the accompanying drawings, embodiments that enable a person having ordinary skill in the technical field to which the present invention pertains to easily implement the present invention will be described in detail. However, when explaining in detail the operating principle of a preferred embodiment of the present invention, if it is determined that a specific explanation of a related known function or configuration may obscure the gist of the present invention, the detailed explanation thereof will be omitted.

[0022] Also, for parts having similar functions and actions throughout the drawings, the same reference numerals are used. Throughout the specification, when one part is described as being connected to another part, this includes not only the case of direct connection but also the case of being indirectly connected with other elements interposed therebetween. Also, including one component means, unless otherwise stated to the contrary, not excluding other components but rather possibly further including other components.

[0023] Also, in this specification, limitations or additional matters for one embodiment are applicable not only to the specific embodiment but also equally to other embodiments.

[0024] Also, throughout the description of the present invention and the claims, those expressed in the singular include the plural cases unless otherwise mentioned.

[0025] Figure 1 shows a pyrolysis reactor in an embodiment of the present invention. Figure 2 is a photograph of the form of semicarbide, which is a reaction product, according to the reaction temperature of the raw material introduced during semi-carbonization in an embodiment of the present invention. Figure 3 shows the experimental results of the calorific value, yield, and elemental composition of EFB (Empty Fruit Bunch) semicarbide according to the reaction temperature in an embodiment of the present invention. Figure 4 shows the experimental results of the calorific value, yield, and elemental composition of EFB (Empty Fruit Bunch) semicarbide according to the reaction time in an embodiment of the present invention. Figure 5 shows the experimental results of the calorific value of EFB (Empty Fruit Bunch) semicarbide according to the reaction temperature and reaction time in an embodiment of the present invention. Figure 6 schematically shows the step of dividing the images of the first data and the second data, converting the image hue for each cell into RGB code values, and then deriving the average value. Figure 7 schematically shows the step of overlapping the images of the first data and the second data to generate an image in an embodiment of the present invention. Figure 8 schematically shows the labeling step of grouping RGB data code values and assigning labels. Figure 9 schematically shows the data processing step of deriving the correlation between RGB values, moisture content, and calorific value, and estimating the moisture content and calorific value corresponding to arbitrary RFG values through simulation.

[0026] Also, Figure 6 schematically shows the step of evenly dividing the images of the first data and the second data into cells of 9 points or more, converting the image hue for each cell into RGB (Red, Green, Blue) code values, and then deriving the average value for each.

[0027] Also, Figure 7 is a diagram that schematically shows the process of acquiring the images of the first data and the second data four times every 2.5 seconds, creating one image while overlapping them at a ratio of 2:8, and then generating the image applied to Figure 6.

[0028] Further, FIG. 8 schematically shows a step of classifying the respective code values of RGB data into 16 groups and then assigning a total of 4,069 labels through combinations of the classified R, G, and B groups.

[0029] Also, after generating the image and assigning labels through FIG. 7, it is possible to predict one or more of the calorific value and the water content through an order including the following steps.

[0030] 1) A step of preparing data labeled so that the collected image data can be learned (data augmentation may be included).

[0031] 2) A step of learning a model for calorific value / water prediction

[0032] 3) A step of adjusting the weight values of the model and learning the relationships among the calorific value, the water content, the image, and the label

[0033] 4) A step of adjusting the hyperparameters of the model or performing a tuning operation to improve the performance of the model through cumulative data

[0034] The present invention includes a raw material input stage for acquiring first data through first monitoring means while raw materials are being input, a pyrolysis reaction stage in which the input raw materials move while being pyrolyzed, a reactant discharge stage for acquiring second data through second monitoring means while discharging the pyrolyzed reactants, an image sample collection stage for improving the accuracy of the first data and the second data and additionally ensuring the number of image samples, a DB storage stage for normalizing the ensured image samples into time-series data and storing RGB code values in a DB, a labeling stage for labeling the first data and the second data based on the stored DB values, the label of the first data deriving the correlation between the RGB value and the moisture content by assigning a moisture content evaluation value, and the label of the second data deriving the correlation between the RGB value and the calorific value by assigning a calorific value evaluation value, and after comparing with the data stored in the DB through simulation, a data processing stage for generating third data which is an estimated moisture content and fourth data which is an estimated calorific value by utilizing the first data and the second data, and a control value derivation stage for deriving control values of the pyrolysis temperature and the pyrolysis time necessary for ensuring the calorific value-based quality of the reactants pyrolyzed based on the third data and the fourth data generated through the data processing stage. The pyrolysis reaction stage provides a pyrolysis reaction method using a pyrolysis reaction means in which any one or more of semi-carbonization, biochar reaction, drying, activated carbon reaction, and carbonization are performed.

[0035] Also, in the control value derivation stage, the pyrolysis temperature can be controlled by any one or more of the raw material supply motor rotation speed of the hot blast stove, the air supply motor rotation speed of the hot blast stove, and the dilution air supply motor rotation speed of the gas mixer.

[0036] Also, in the control value derivation stage, the pyrolysis time can be controlled by any one or more of the drive motor rotation speed of the rotary kiln and the raw material supply motor rotation speed.

[0037] Also, the first data and the second data can be visual information, and the visual information can be an image.

[0038] Also, in the first monitoring means, the image can be divided into a plurality of predetermined cells in order to acquire the first data which is an image.

[0039] Also, in the second monitoring means, the image can be divided into a plurality of predetermined cells in order to acquire the second data which is an image.

[0040] Also, the images of the first data and the second data can be evenly divided into cells of 9 points or more.

[0041] Also, after converting the image hue of each of the evenly divided cells into RGB code values, the average value of each can be derived.

[0042] Also, in the image sample collection stage, in order to improve the accuracy, an overlap of 80% can be applied based on 2.5 seconds, and additional image samples can be ensured.

[0043] The 2.5 seconds set in the image sample collection stage can adjust the residence time for analyzing the image video of the reactants input and discharged within 10 seconds through the relationship between the moving distance and the motor rotation speed when using the conveyor belt, so it can be appropriately applied according to the situation which is not necessarily 2.5 seconds.

[0044] Also, by applying an overlap method of overlapping a large number of images, a representative image can be generated and the system accuracy can be improved.

[0045] Also, after classifying the RGB code values into 16 groups, 4,096 labels can be assigned through the combination of the classified R, G, and B groups.

[0046] (Example 1) Control of pyrolysis temperature

[0047] Control stage of pyrolysis temperature-related operation factors to achieve a target calorific value of 4,500 kcal / kg under the operating conditions where the calorific value of the pyrolysis product derived from the 4th data is 4,150 kcal / kg

[0048] (1) Increase the rotational speed of the raw material supply motor of the hot blast stove by 5%

[0049] (2) Increase the rotational speed of the air supply motor of the hot blast stove by 7%

[0050] (3) Decrease the rotational speed of the dilution air supply motor of the gas mixer by 3%

[0051] (Example 2) Control of pyrolysis time

[0052] Control stage of pyrolysis time-related operation factors to achieve a target calorific value of 4,500 kcal / kg under the operating conditions where the calorific value of the pyrolysis product derived from the 4th data is 4,950 kcal / kg

[0053] (1) Increase the rotational speed of the drive motor of the rotary kiln by 8%

[0054] (2) Increase the rotational speed of the raw material supply motor by 5%

[0055] Also, a raw material input means for acquiring first data through a first monitoring means while raw materials are being input, a pyrolysis reaction stage in which the input raw materials move while being pyrolyzed, a reaction product discharge means for acquiring second data through a second monitoring means while discharging the pyrolyzed reaction products, an image sample collection means for improving the accuracy of the first data and the second data and additionally ensuring the number of image samples, a DB storage means for normalizing the ensured image samples into time-series data and storing RGB code values in a DB, a labeling stage for labeling the first data and the second data based on the stored DB values, the label of the first data derives the correlation between the RGB value and the moisture content by assigning a moisture content evaluation value, the label of the second data derives the correlation between the RGB value and the calorific value by assigning a calorific value evaluation value, after comparing with the data stored in the DB through simulation, data processing means for generating third data which is the estimated moisture content and fourth data which is the estimated calorific value by utilizing the first data and the second data, and control value derivation means for deriving control values of the pyrolysis temperature and the pyrolysis time necessary for ensuring the calorific value-based quality of the reaction products pyrolyzed based on the third data and the fourth data generated through the data processing stage, wherein the pyrolysis reaction stage can provide a pyrolysis reaction apparatus using a pyrolysis reaction means in which any one or more of semi-carbonization, biochar reaction, drying, activated carbon reaction, and carbonization are carried out.

[0056] In addition, the present invention includes an indirect pyrolysis reaction means in the form of a kiln formed by an outer cylinder 200 that receives hot air from the outside and an inner cylinder 300 through which raw materials move, a pyrolysis reaction control means 900 for driving the pyrolysis means, a raw material inlet 110 into which raw materials are introduced and located on one side of the pyrolysis reaction means, a reaction product outlet 120 that is located on the opposite side of the raw material inlet and discharges the pyrolysis reaction products that are the raw materials subjected to pyrolysis, a hot air supply pipe 400 for supplying hot air to the outer cylinder, a multi-point thermocouple 430 that is located on one side of the inner cylinder and measures the internal temperature of the reactor, a heat source supply amount control means 440 that is connected to the multi-point thermocouple and the hot air supply pipe of the inner cylinder and controls the hot air supplied to the outer cylinder, a generated gas discharge pipe 600 that is located on the upper one side of the pyrolysis reaction means and discharges the gas generated inside, a first monitoring means 700 that is installed near the raw material inlet, monitors the raw materials being introduced, and transmits the first data obtained through the monitoring, a second monitoring means 710 that is installed near the reaction product outlet, monitors the reaction products being discharged, and transmits the second data obtained through the monitoring, and an AI analysis means 800 that receives the data transmitted from the first monitoring means and the second monitoring means, generates third data and fourth data based on the received first data and second data, provides the third data to the heat source supply amount control means, and provides the fourth data to the pyrolysis reaction control means. The outer cylinder includes a partition plate 210 for dividing into predetermined areas, and a rotary pyrolysis reactor 100 is provided in which one side of the hot air supply pipe and one side of the outer cylinder are connected by a hot air branch pipe 410 including a control valve 420.

[0057] Further, the raw material can be a solid raw material that requires pyrolysis such as drying, semi-carbonization, biochar, carbonization, etc. For example, it can include biomass (such as bagasse, EFB, wood chips, etc.), organic waste (such as livestock manure, sewage sludge, food waste, etc.), and combustible waste (such as waste plastic, waste paper, waste rubber, etc.).

[0058] Also, the predetermined area divided by the partition plate can be two or more areas.

[0059] Moreover, a multi-point thermocouple can be arranged so as to be able to sense the temperature (T1 to T6) inside the inner cylinder corresponding to a predetermined area divided by the partition plate.

[0060] Moreover, the temperature inside, that is, the reaction temperature can be 100°C to 500°C.

[0061] Moreover, one or more of the multi-point thermocouples can be inserted near the raw material inlet or the reactant outlet, or installed so as to penetrate near the raw material inlet and the reactant outlet.

[0062] Moreover, the control valve can adjust the amount of hot air supplied.

[0063] Moreover, the outer cylinder can be installed in a form surrounding the inner cylinder with a certain interval from the inner cylinder so as to form a passage through which hot air moves between the inner cylinder and the outer cylinder.

[0064] Moreover, one side of the outer cylinder can further include a hot air discharge pipe 500 so that the supplied hot air can be discharged.

[0065] Moreover, the hot air discharge pipe is formed in a double structure in a form surrounding the product gas discharge pipe, maintains the temperature of the product gas discharge pipe at a certain temperature or higher, and the product gas can be used as fuel.

[0066] Moreover, the hot air supply pipe can be formed in a double structure so that the product gas discharge pipe can be installed passing through the inside of the hot air supply pipe.

[0067] Moreover, when the hot air supply pipe is located at the lower end of the pyrolysis reaction means, hot air can be supplied to the lower part of the pyrolysis reaction means so that the indirect contact with the raw material occurs most frequently. In this case, the utilization efficiency of the heat source can be slightly increased compared to the case where it is located at the upper end.

[0068] Moreover, the pyrolysis reaction means can be utilized by any one or more of semi-carbonization, drying, biochar reaction, activated carbon reaction, and carbonization.

[0069] In addition, one or more of the first data and the second data transmitted from the AI analysis means can be based on visual information.

[0070] In addition, the first monitoring means can obtain moisture content information from the visual information of the input raw material.

[0071] In addition, the second monitoring means can obtain calorific value information from the visual information of the discharged reactant.

[0072] In addition, the heat source supply amount control means that has received the third data can adjust the control valve installed in the hot air branch pipe.

[0073] In addition, the pyrolysis reaction control means that has received the fourth data can adjust the rotation speed of the pyrolysis reaction means.

[0074] In addition, the hot air branch pipe can be connected so as to correspond to a predetermined area of the outer cylinder divided by the area plate.

[0075] In the pyrolysis reaction method using the pyrolysis reactor, a raw material input stage of obtaining first data through the first monitoring means while the raw material is being input, a pyrolysis reaction stage in which the input raw material moves while being pyrolyzed, a reactant discharge stage of obtaining second data through the second monitoring means while discharging the pyrolyzed reactant, a data processing stage of generating third data and fourth data based on the first data and the second data, and a pyrolysis reaction and apparatus control stage of controlling the pyrolysis and the apparatus based on the third data and the fourth data generated through the data processing stage can be provided.

[0076] The RGB means the three primary colors of light and is an abbreviation of Red, Green, and Blue. The RGB color model is a method of expressing colors using the three primary colors of light.

[0077] Those with ordinary knowledge in the field to which the present invention pertains will be able to make various applications and modifications within the scope of the present invention based on the above content.

Explanation of Reference Numerals

[0078] 100 Rotary Pyrolysis Reactor 110 Raw Material Inlet 120 Reactant Outlet 200 Outer Cylinder 210 Area Plate 300 Inner Cylinder 400 Hot Air Supply Pipe 410 Hot Air Branch Pipe 420 Control Valve 430 Multipoint Thermocouple 440 Heat Source Supply Amount Control Means 500 Hot Air Discharge Pipe 600 Product Gas Discharge Pipe 700 First Monitoring Means 710 Second Monitoring Means 800 AI Analysis Means 900 Pyrolysis Reaction Control Means

Claims

1. a step of inputting a raw material and acquiring first data through a first monitoring means while the raw material is being input; a pyrolysis reaction step in which the input raw material is pyrolyzed and moved; a reactant discharging step of discharging the pyrolyzed reactant and acquiring second data through a second monitoring means; acquiring image samples to improve accuracy of the first data and the second data and to additionally secure a number of image samples; a DB storage step of normalizing the acquired image samples to time series data and storing RGB code values ​​in a DB; a labeling step of labeling the first data and the second data based on the stored DB values; a data processing step of: deriving a correlation between RGB values ​​and moisture amounts by assigning a moisture amount evaluation value to the label of the first data; deriving a correlation between RGB values ​​and heat amounts by assigning a heat amount evaluation value to the label of the second data; and generating third data, which is an estimated moisture amount, and fourth data, which is an estimated heat amount, by utilizing the first data and the second data after comparing the data stored in the DB through a simulation; and A control value deriving step of deriving a control value of a pyrolysis temperature and a pyrolysis time required to ensure a calorific value-based quality of a reactant pyrolyzed based on the third data and the fourth data generated through the data processing step; The pyrolysis step is a pyrolysis method using a pyrolysis means for performing one or more of pyrolysis among semi-carbonization, biochar reaction, drying, activated carbon reaction, and carbonization.

2. 2. The pyrolysis reaction method according to claim 1, wherein in the derivation of the control value, the pyrolysis temperature is controlled by controlling at least one of a rotation speed of a motor for supplying raw material to a hot stove, a rotation speed of a motor for supplying air to a hot stove, and a rotation speed of a motor for supplying dilution air to a gas mixer.

3. The pyrolysis reaction method according to claim 1, wherein in the derivation of the control value, the pyrolysis time is controlled by at least one of a rotation speed of a rotary kiln drive motor and a rotation speed of a material supply motor.

4. a raw material input means for acquiring first data through a first monitoring means while the raw material is being input; a pyrolysis reaction step in which the input raw material is pyrolyzed and moved; a reactant discharge means for discharging the reactant resulting from the thermal decomposition reaction and acquiring second data through a second monitoring means; an image sample collecting means for improving accuracy of the first data and the second data and for additionally obtaining a number of image samples; a DB storage means for normalizing the acquired image samples to time series data and storing RGB code values ​​in a DB; a labeling step of labeling the first data and the second data based on the stored DB values; A data processing means for deriving a correlation between RGB values ​​and moisture amounts by assigning a moisture amount evaluation value to the label of the first data, deriving a correlation between RGB values ​​and heat amounts by assigning a heat amount evaluation value to the label of the second data, and generating third data which is an estimated moisture amount and fourth data which is an estimated heat amount by utilizing the first data and the second data after comparing the data stored in the DB through a simulation; and A control value deriving means for deriving control values ​​of a pyrolysis temperature and a pyrolysis time required to ensure a calorific value reference quality of a reactant subjected to a pyrolysis reaction based on the third data and the fourth data generated through the data processing step; The pyrolysis reaction step is a pyrolysis reaction device using a pyrolysis reaction means in which one or more of pyrolysis is performed among torrefaction, biochar reaction, drying, activated carbon reaction, and carbonization.

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