Biomass methanol preparation gasifier control method and adopted control system

Abstract

The invention relates to the technical field of gasification furnace control, in particular to a biomass methanol preparation gasification furnace control method and an adopted control system. The control method of the biomass methanol preparation gasifier comprises the following steps: S1, mounting a radar level gage on the upper part of a first unit of an incinerator grate of the gasifier, and detecting the thickness of a hearth material layer in real time; s2, a material layer controller is established, and the reference speed of the feeding fire grate is dynamically adjusted according to the deviation between the detected material layer thickness and the preset material layer thickness; and S3, by adjusting the speed of the feeding fire grate, the biomass feeding amount is controlled, it is ensured that the thickness of a combustion material layer is uniform, and the synthesis gas yield is stabilized. By means of multi-parameter cooperative control and an intelligent algorithm, the problems that a traditional gasifier is uneven in feeding, large in temperature fluctuation, unstable in synthesis gas quality and the like are solved, and the efficiency and environmental friendliness of preparing methanol from biomass are remarkably improved.

Description

Technical Field

[0001] The present invention belongs to the field of new energy, specifically relates to the technical field of gasifier control, and particularly relates to a control method for a biomass methanol preparation gasifier and a control system adopted thereby. Background Art

[0002] The production of methanol from biomass is mainly based on the thermochemical conversion or biological conversion of biomass. Usually, biomass is first gasified to produce syngas, and then the syngas reacts to produce methanol under the action of a catalyst. The preparation of methanol from biomass gasification syngas mainly includes three key steps: (1) Pyrolysis gasification: The pretreated biomass raw material is pyrolyzed and gasified at a high temperature environment to produce combustible gas; (2) Gas purification: The combustible gas is introduced into the purification system to remove impurities such as tar and dust in the gas to ensure the smooth progress of the methanol synthesis reaction; (3) Methanol synthesis: The purified gas enters the methanol synthesis reactor for catalytic reaction to produce methanol. As a utilization method of renewable resources, the greenhouse gas emissions generated during the production and use of methanol from biomass are much lower than those of fossil fuels, which helps to slow down global climate change, has environmental friendliness and sustainability, and has broad market prospects in many fields such as fuels and chemical raw materials.

[0003] Biomass pyrolysis gasification refers to the process of converting biomass raw materials into combustible gas (including CO, H2, CH4, etc.) at a high temperature (500 - 1400 °C). The main core of biomass pyrolysis gasification is to control the feed rate and temperature of the gasifier. Only by controlling the appropriate temperature can biomass be smoothly gasified, and only by controlling the appropriate feed rate of biomass in the gasifier can syngas be continuously and stably produced.

[0004] The existing control of biomass gasifiers has the following defects: (1) The feed rate depends on manual experience and is prone to fluctuations due to raw material differences; (2) The temperature monitoring points are single and the regulation lags behind; (3) The system energy efficiency is low and multi-parameter collaborative optimization has not been achieved. Summary of the Invention

[0005] The technical problem to be solved by the present invention is: In order to solve the problems of large feed fluctuations, rough temperature control, and unstable synthesis gas quality existing in the existing biomass gasifiers in the above background art, a control method for a biomass methanol preparation gasifier is provided. By real-time detecting the thickness of the furnace bed material layer, calculating the feed rate in combination with the speed, width of the feeding grate and the height of the feed inlet, and dynamically adjusting the feeding speed based on the deviation of the material layer thickness and the temperature of the furnace lining, it is ensured that the combustion material layer is uniform, avoiding faults and stabilizing the synthesis gas output.

[0006] The technical solution adopted by the present invention to solve its technical problems is: A control method for a biomass methanol preparation gasifier includes the following steps: S1. Install a radar level gauge above the first unit of the incinerator grate in the gasifier to detect the thickness of the furnace bed layer in real time. S2. Establish a bed layer controller to dynamically adjust the reference speed of the feeding grate according to the deviation between the detected bed layer thickness and the preset bed layer thickness. S3. Control the biomass feed rate by adjusting the speed of the feeding grate to ensure a uniform combustion bed layer thickness and a stable syngas output.

[0007] The thickness of the bed layer is monitored in real time by a radar level gauge to ensure the uniformity of the feed; the speed of the feeding grate is dynamically adjusted using a closed-loop control strategy to improve the stability of the syngas output; manual intervention is reduced and the degree of automation is enhanced.

[0008] According to an embodiment of the present invention, in step S2, dynamically adjusting the reference speed of the feeding grate specifically includes: S21. Establish an algorithm model for the feed rate of the feeding grate in the gasifier to calculate the hourly biomass feed volume. S22. Determine the reference feeding speed based on the equality of the statistically daily feed rate and the calculated daily feed rate. S23. Combine the bed layer thickness deviation, the left furnace tile temperature and the right furnace tile temperature of the first unit to calculate the adjustment value of the feeding grate speed and finally determine the real-time speed of the incinerator grate.

[0009] By combining the feed rate algorithm model and temperature data, multi-parameter coordinated control is achieved; through the matching of statistics and calculation, the scientific nature of the reference speed is ensured, and experience dependence is avoided; the stability and efficiency of the gasifier operation are improved.

[0010] According to an embodiment of the present invention, the algorithm model for the feed rate of the feeding grate in the gasifier in step S21 specifically includes: S21.1. First, use the method of statistics and average to calculate the average daily biomass feed rate: , where, is the daily feed rate, is the number of days, is obtained through the daily operation statistical report of each furnace; S21.2. Calculate the hourly biomass feed volume , where, n is the number of decimal places of the feed; is the forward speed of the feeding trolley; is the height of the i-th feeding port; is the width of the i-th feeding trolley; is the biomass volume; , Among them, is the hourly feed rate; is the biomass density; is the correction factor; S21.3. The daily feed rate obtained by statistics is equal to the daily feed rate calculated, that is = , , Thus, the reference feeding speed is calculated.

[0011] Accurately calculate the biomass feed rate to avoid uneven combustion caused by excessive or insufficient feed; optimize the calculation through density and correction factor to improve the accuracy of the model; ensure that the feed rate matches the gasification demand and reduce energy waste.

[0012] According to an embodiment of the present invention, the calculation formula for the deviation of the bed layer thickness is:

[0013]

[0014] Among them, is the absolute value deviation of the bed layer thickness; is the trend deviation of the bed layer thickness; is the set bed layer thickness; is the currently detected bed layer thickness of the first unit; is the bed layer thickness detected in the previous detection cycle of the first unit; are all adjustment factors; The bed layer deviation affects the adjustment amount of the feeding speed , and the calculation formula is:

[0015] Among them, are all proportionality factors.

[0016] Adopt a dual adjustment strategy of absolute value deviation + trend deviation to enhance the control response speed; dynamically adjust the feeding speed through proportionality factors to avoid overshoot or lag; improve the control accuracy of the bed layer thickness and reduce fluctuations.

[0017] According to an embodiment of the present invention, the calculation formula for adjusting the speed of the feeding grate is: , , Among them, is the temperature threshold; is the currently detected temperature of the left furnace lining of the first unit; is the temperature detected in the previous detection cycle of the left furnace lining of the first unit; is the currently detected temperature of the right furnace lining of the first unit; is the temperature detected in the previous detection cycle of the right furnace lining of the first unit are all adjustment factors; is restricted by factors, that is: and < 0, perform calculations, and when the temperature drops, reduce the speed of the feeding grate, only decrease and not increase; and the temperature of the left furnace lining of the first unit affects the adjustment amount of the feeding speed is: , wherein, is the proportionality factor; Similarly, is restricted by factors, that is: and < 0, perform calculations, and when the temperature drops, reduce the speed of the feeding grate, only decrease and not increase; and the temperature of the right furnace lining of the first unit affects the adjustment amount of the feeding speed is: , wherein, is the proportionality factor.

[0018] Combined with the furnace lining temperature data, realize temperature-feed amount linkage control; automatically decelerate when the temperature drops to prevent local overcooling from affecting the gasification efficiency; the one-way adjustment strategy avoids exacerbating temperature fluctuations and improves the system robustness.

[0019] According to an embodiment of the present invention, the formula for calculating the final incineration grate speed is: , wherein, , is the adjustment value of the feeding grate speed; is the reference speed of the incineration grate; is the adjustment amount of the feeding speed affected by the material layer deviation; The temperature of the left furnace lining of the first unit affects the adjustment amount of the feeding speed; The temperature of the right furnace lining of the first unit affects the adjustment amount of the feeding speed; k 1, k 2 and k 3 are the weight coefficients of the material layer thickness, the temperature of the left furnace lining, and the temperature of the right furnace lining, respectively, and satisfy .

[0020] By integrating the material layer thickness, the left and right side temperature data, calculating the final speed through weighted calculation, multi-objective optimization is achieved. The weight coefficients are adjustable to adapt to different raw materials and working conditions, ensuring stable synthesis gas production and avoiding abnormal furnace temperature at the same time.

[0021] There is also provided a control system adopted by the biomass methanol preparation gasifier control method described in the above solution, including: A radar level gauge, installed on the upper part of the first unit of the incinerator grate of the gasifier, for real-time detection of the material layer thickness in the furnace chamber; A material layer controller, for generating a feeding grate speed adjustment strategy according to the deviation between the detected material layer thickness and the preset material layer thickness; A temperature detection module, for real-time monitoring of the temperatures of the left and right furnace linings of the first unit; A speed control module, for dynamically adjusting the reference speed of the feeding grate by integrating the material layer thickness deviation and the temperature deviation.

[0022] Integrating the radar level gauge, temperature detection, and speed control modules to form a closed-loop control system, with real-time feedback regulation, reducing manual intervention, and improving the automation level; applicable to a variety of biomass raw materials, with strong versatility.

[0023] According to an embodiment of the present invention, it further includes: A feed rate calculation module, for calculating the hourly biomass feed volume according to the width, speed of the feeding grate, and the height of the feed inlet; A weight distribution module, for dynamically adjusting the weight coefficients according to the influence degrees of the material layer thickness, the left side temperature, and the right side temperature.

[0024] Dynamically calculating the feed volume and optimizing the feeding strategy; the weight distribution module adaptively adjusts the influence degrees of key parameters, enhancing the control flexibility and being applicable to different production scales and raw material characteristics.

[0025] According to an embodiment of the present invention, the speed control module calculates the final speed of the feeding grate through the following formula: , where, V F is the final speed of the incinerator grate; is the reference speed of the incinerator grate; is the adjustment amount of the feeding speed affected by the material layer deviation; is the adjustment amount of the feeding speed affected by the temperature of the furnace lining on the left side of the first unit; is the adjustment amount of the feeding speed affected by the temperature of the furnace lining on the right side of the first unit; k 1. k 2 and k 3 are the weight coefficients of the material layer thickness, the temperature of the furnace lining on the left side, and the temperature of the furnace lining on the right side respectively, and satisfy .

[0026] The final speed is accurately calculated through a mathematical formula to ensure that the control logic is transparent and adjustable; the constraint of the weight coefficient guarantees the system stability, avoids parameter conflicts, and is applicable to the control scenario of high-precision gasifiers.

[0027] According to an embodiment of the present invention, it further includes a furnace temperature control module for controlling the primary air volume by adjusting the opening degree of the primary air fan, so as to maintain the furnace temperature within a preset range and optimize the composition of the biomass syngas.

[0028] Adjust the furnace temperature through the primary air volume, optimize the syngas composition, improve the methanol synthesis efficiency, and reduce the generation of by-products.

[0029] Advantages of the present invention: Through multi-sensor data fusion (material layer thickness, temperature, feed rate), high-precision closed-loop control is achieved, reducing manual intervention; Dynamically adjust the feeding speed and air volume to ensure the stability of the syngas output and composition, and improve the methanol synthesis efficiency; Optimize the matching of feeding and temperature, avoid energy waste, reduce tar generation, and extend the equipment life; The weight coefficient and the algorithm model are adjustable to adapt to different biomass raw materials and working conditions; Combined with statistical analysis and real-time feedback, promote the development of biomass gasifiers towards intelligence and automation; Through multi-parameter collaborative control and intelligent algorithms, the present invention solves the problems of uneven feeding, large temperature fluctuations, and unstable syngas quality in traditional gasifiers, and significantly improves the efficiency and environmental protection of biomass to methanol. Brief Description of the Drawings

[0030] The present invention will be further described below with reference to the drawings and embodiments.

[0031] Figure 1 is the structural block diagram of the control system of the biomass methanol preparation gasifier of the present invention.

[0032] Figure 2 is the flowchart of the control method of the biomass methanol preparation gasifier of the present invention.

[0033] Figure 3 Schematic diagram for calculating the deviation of the material layer thickness in the control method of the gasifier for preparing biomass methanol according to the present invention.

[0034] Figure 4 Logic diagram for adjusting the speed of the feeding grate in the control method of the gasifier for preparing biomass methanol according to the present invention.

[0035] In the figure: 1, radar level gauge; 2, material layer controller; 3, temperature detection module; 4, speed control module; 5, feed quantity calculation module; 6, weight distribution module; 7, furnace temperature control module. Detailed implementation mode

[0036] The present invention will be further described in detail below with reference to the accompanying drawings. These drawings are all simplified schematic diagrams, only illustrating the basic structure of the present invention in a schematic manner, so they only show the components related to the present invention.

[0037] As Figure 1 shown, the control system of the gasifier for preparing biomass methanol includes a radar level gauge 1, a material layer controller 2, a temperature detection module 3, a speed control module 4, a feed quantity calculation module 5, a weight distribution module 6, and a furnace temperature control module 7; wherein, the radar level gauge 1 is installed above the first unit of the incineration grate of the gasifier to detect the thickness of the material layer in the furnace in real time; the material layer controller 2 is used to generate a strategy for adjusting the speed of the feeding grate according to the deviation between the detected material layer thickness and the preset material layer thickness; the temperature detection module 3 is used to monitor the temperatures of the left and right furnace tiles of the first unit in real time; the speed control module 4 is used to dynamically adjust the reference speed of the feeding grate by synthesizing the deviation of the material layer thickness and the temperature deviation; the feed quantity calculation module 5 is used to calculate the hourly biomass feed volume according to the width, speed, and feed inlet height of the feeding grate; the weight distribution module 6 is used to dynamically adjust the weight coefficient according to the influence degrees of the material layer thickness, the left temperature, and the right temperature; the furnace temperature control module 7 is used to control the primary air volume by adjusting the opening degree of the primary air fan, so as to maintain the furnace temperature within a preset range and optimize the composition of the biomass synthesis gas.

[0038] Among them, the speed control module 4 calculates the final speed of the feeding grate through the following formula: , wherein, V F is the final speed of the incineration grate; is the reference speed of the incineration grate; is the adjustment amount of the feeding speed affected by the material layer deviation; is the adjustment amount of the feeding speed affected by the temperature of the left furnace tile of the first unit; is the adjustment amount of the feeding speed affected by the temperature of the right furnace tile of the first unit; k 1, k 2 andk 3 are the weight coefficients of the material layer thickness, the left furnace lining temperature, and the right furnace lining temperature, respectively, and satisfy .

[0039] As Figure 2 shown, the control method for the biomass methanol preparation gasifier includes the following steps: S1. Install a radar level gauge 1 above the first unit of the incinerator grate of the gasifier to detect the material layer thickness in the furnace chamber in real time; S2. Establish a material layer controller 2 and dynamically adjust the reference speed of the feeding grate according to the deviation between the detected material layer thickness and the preset material layer thickness; S3. Control the biomass feed amount by adjusting the speed of the feeding grate to ensure a uniform combustion material layer thickness and a stable synthesis gas output.

[0040] Among them, in step S2, dynamically adjusting the reference speed of the feeding grate specifically includes: S21. Establish an algorithm model for the feeding amount of the gasifier feeding grate to calculate the hourly biomass feeding volume; S22. Determine the reference feeding speed according to the equality of the statistically daily feeding amount and the calculated daily feeding amount; S23. Combine the material layer thickness deviation, the left furnace lining temperature and the right furnace lining temperature of the first unit, calculate the adjustment value of the feeding grate speed, and finally determine the real-time speed of the incinerator grate.

[0041] Among them, the algorithm model for the feeding amount of the gasifier feeding grate in step S21 specifically includes: S21.1. First, use the method of statistics and average to calculate the average daily biomass feeding amount: , where is the daily feeding amount, is the number of days, is obtained through the daily operation statistical report of each furnace; S21.2. Calculate the hourly biomass feeding volume , where n is the number of decimal places of feeding; is the forward speed of the feeding trolley; is the height of the i-th feeding port; is the width of the i-th feeding trolley; is the biomass volume; , where is the hourly feeding amount; is the biomass density; is the correction coefficient; S21.3. The daily feed quantity obtained through statistics is equal to the daily feed quantity calculated, i.e., = , , Thus, the reference feeding speed is calculated as .

[0042] As Figure 3 shown, the calculation formula for the deviation of the material layer thickness is:

[0043]

[0044] Among them, is the absolute value deviation of the material layer thickness; is the trend deviation of the material layer thickness; is the set material layer thickness; is the currently detected material layer thickness of the first unit; is the material layer thickness detected in the previous detection cycle of the first unit; are all adjustment factors; The deviation of the material layer affects the adjustment amount of the feeding speed , and the calculation formula is: , Among them, are all proportionality factors.

[0045] As Figure 4 shown, the calculation formula for adjusting the speed of the feeding grate is: , , Among them, is the temperature threshold; is the adjustment value of the temperature of the left furnace tile of the first unit; is the adjustment value of the temperature of the right furnace tile of the first unit; is the currently detected temperature of the left furnace tile of the first unit; is the temperature of the left furnace tile detected in the previous detection cycle of the first unit; is the currently detected temperature of the right furnace tile of the first unit; is the temperature of the right furnace tile detected in the previous detection cycle of the first unit are all adjustment factors; Subject to factors, i.e.: And <0, perform calculations, and when the temperature drops, reduce the feeding grate speed, only decreasing and not increasing; And the temperature of the left furnace lining of the first unit affects the adjustment amount of the feeding speed That is: , wherein, is the proportionality factor; Similarly, affected by factors, that is: And <0, perform calculations, and when the temperature drops, reduce the feeding grate speed, only decreasing and not increasing; And the temperature of the right furnace lining of the first unit affects the adjustment amount of the feeding speed That is: , wherein, is the proportionality factor.

[0046] Combined with the furnace lining temperature data, realize temperature - feed rate linkage control; automatically decelerate when the temperature drops to prevent local over - cooling from affecting the gasification efficiency; the one - way adjustment strategy avoids exacerbating temperature fluctuations and improves the system robustness.

[0047] In summary, the final incinerator grate speed The calculation formula is: , wherein, , is the adjustment value of the feeding grate speed; is the reference speed of the incinerator grate; is the adjustment amount of the feeding speed affected by the material layer deviation; is the adjustment amount of the feeding speed affected by the temperature of the left furnace lining of the first unit; is the adjustment amount of the feeding speed affected by the temperature of the right furnace lining of the first unit. k 1, k 2 and k 3 are the weight coefficients of the material layer thickness, the temperature of the left furnace lining, and the temperature of the right furnace lining respectively, and satisfy . Specific Example 1: Using straw as raw material (density 0.8t / m³), correction coefficient = 1.02, set the material layer thickness sp = 600mm; The detected thickness deviation of the material layer is -30 mm, and the material layer deviation affects the adjustment amount of the feeding speed. = 0.24 mm / s; The temperature of the left furnace lining of the first unit is adjusted by 4 °C, and the temperature of the left furnace lining of the first unit affects the adjustment amount of the feeding speed = 0.03 m / s; The temperature of the right furnace lining of the first unit is adjusted by 6 °C, and the temperature of the right furnace lining of the first unit affects the adjustment amount of the feeding speed = 0.032 m / s; Weight = 0.5, = 0.25, = 0.25 Final speed V F = 1.2 + 0.12 + 0.015 + 0.016 = 1.351 mm / s. Specific embodiment 2: Using wood chips (density 1.1 t / m³), correction coefficient = 9.95, setting the material layer thickness sp = 700 mm; The detected thickness deviation of the material layer is 50 mm, and the material layer deviation affects the adjustment amount of the feeding speed = -0.36 mm / s; The temperature of the left furnace lining of the first unit is adjusted by 9 °C, and the temperature of the left furnace lining of the first unit affects the adjustment amount of the feeding speed = 0.06 m / s; The temperature of the right furnace lining of the first unit is adjusted by 8 °C, and the temperature of the right furnace lining of the first unit affects the adjustment amount of the feeding speed = 0.068 m / s; Weight = 0.5, = 0.25, = 0.25 Final speed V F = 1.3 - 0.18 + 0.06 + 0.068 = 1.248 mm / s.

[0050] Carry out biomass gasification respectively from the above specific embodiments, (Ⅰ) Improvement of syngas stability: The fluctuation of the material layer thickness is reduced by 40%, and the standard deviation of the furnace temperature is reduced to ±15 °C.

[0051] (Ⅱ) Energy efficiency optimization: Through the linkage of feeding - air volume, the gasification efficiency is increased by 12%.

[0052] (Ⅲ) Anti - interference ability: Dynamic weight distribution adapts to the change of biomass moisture content (15% - 30%).

[0053] The radar level gauge 1 monitors the material layer thickness in real - time, and generates a speed adjustment strategy in combination with the material layer deviation algorithm (absolute value deviation + trend deviation). Through the formula , dynamically correct the feeding speed to avoid too thick (incomplete combustion) or too thin (local flameout) material layers. The fluctuation of the material layer thickness is reduced by 40%, ensuring uniform distribution of biomass on the grate. The fluctuation of the syngas output is reduced, and the calorific value stability is improved.

[0054] The temperature detection module 3 collects the temperatures of the left and right furnace tiles in real time, and avoids temperature oscillation through a one-way adjustment strategy (only decelerate when the temperature drops, not accelerate). The weight distribution module (k1, k2, k3) dynamically balances the influence weights of the material layer and temperature (for example, the material layer weight k1 = 0.5, temperature k2 = k3 = 0.25). The standard deviation of the furnace temperature is reduced to ±15°C (±30°C for the traditional system), avoiding fluctuations in the syngas composition caused by local overcooling / overheating.

[0055] The weight distribution module (k1, k2, k3) dynamically adjusts according to the working conditions (for example, biomass with high moisture content relies more on temperature feedback), adapts to the change of biomass moisture content (15% - 30%), and does not require manual intervention to reset parameters.

[0056] Inspired by the ideal embodiments of the present invention described above, through the above description, relevant staff can make various changes and modifications completely within the scope without departing from the technical idea of the present invention. The technical scope of the present invention is not limited to the content in the specification, and its technical scope must be determined according to the scope of the claims.

Claims

1. A control method for a biomass methanol preparation gasifier, characterized in that, It includes the following steps: S1. Install a radar level gauge (1) above the first unit of the incinerator grate in the gasifier to detect the thickness of the furnace bed layer in real time; S2. Establish a bed layer controller (2) to dynamically adjust the reference speed of the feeding grate according to the deviation between the detected bed layer thickness and the preset bed layer thickness; S3. Control the biomass feed rate by adjusting the speed of the feeding grate to ensure a uniform combustion bed layer thickness and a stable synthesis gas output.

2. The control method of the biomass methanol preparation gasifier according to claim 1, characterized in that, In step S2, the dynamic adjustment of the reference speed of the feeding grate is specifically as follows: S21. Establish an algorithm model for the feeding volume of the gasifier feeding grate to calculate the biomass feeding volume per hour; S22. Determine the reference feeding speed according to the equality of the statistically daily feeding volume and the calculated daily feeding volume; S23. Combine the bed layer thickness deviation, the temperature of the left furnace tile and the temperature of the right furnace tile of the first unit to calculate the adjustment value of the feeding grate speed, and finally determine the real-time speed of the incinerator grate.

3. The biomass methanol preparation gasifier control method according to claim 2, characterized in that, In step S21, the algorithm model for the feeding volume of the gasifier feeding grate is specifically as follows: S21.

1. First, use the method of statistics and average value to calculate the average daily biomass feeding volume: ， Among them, is the daily feed rate, is the number of days, obtained from the daily operation statistical report of each furnace; S21.

2. Calculate the biomass volume fed per hour ， Among them, n is the decimal number of feeding; is the forward speed of the feeding trolley; is the height of the i-th feeding port; is the width of the i-th feeding trolley; is the volume of biomass; ， Among them, is the hourly feed rate; is the biomass density; is the correction coefficient; S21.

3. The statistically daily feeding volume is equal to the calculated daily feeding volume, that is = ， ， Thus, the reference feeding speed is calculated .

4. The control method of the biomass methanol preparation gasifier according to claim 2, wherein The calculation formula for the bed layer thickness deviation is: Among them, is the absolute value deviation of the material layer thickness; is the trend deviation of the material layer thickness; is the set material layer thickness; is the currently detected material layer thickness of the first unit; is the material layer thickness detected in the previous detection cycle of the first unit; are all adjustment factors; The deviation of the material layer affects the adjustment amount of the feeding speed , and the calculation formula is as follows: wherein, are all scale factors.

5. The control method of the biomass methanol preparation gasifier according to claim 4, characterized in that, The calculation formula for the adjustment of the feeding grate speed is: ， ， Wherein, is the temperature threshold; is the currently detected temperature of the left furnace lining of the first unit; is the detected temperature of the left furnace lining of the first unit in the previous detection cycle; is the currently detected temperature of the right furnace lining of the first unit; is the detected temperature of the right furnace lining of the first unit in the previous detection cycle are all adjustment factors; Constrained by factors, namely: and <0, perform calculations, and the temperature drop reduces the speed of the feeding grate, only decreasing and not increasing; Moreover, the temperature of the left furnace lining of the first unit affects the adjustment amount of the feeding speed It is as follows: ， wherein, is a scale factor; Similarly, constrained by factors, i.e.: and <0, perform calculations, and the temperature drop reduces the speed of the feeding grate, only decreasing and not increasing; Moreover, the temperature of the furnace lining on the right side of the first unit affects the adjustment amount of the feeding speed It is as follows: ， wherein, is a scale factor.

6. The control method of the biomass methanol preparation gasifier according to claim 3, characterized in that, The final grate speed is calculated by the following formula: ， Wherein, ， is the adjustment value of the feeding grate speed; is the reference speed of the incineration grate; is the adjustment amount of the feeding speed affected by the material layer deviation; is the adjustment amount of the feeding speed affected by the temperature of the left furnace tile in the first unit; is the adjustment amount of the feeding speed affected by the temperature of the right furnace tile in the first unit; k 1, k 2 and k 3 are the weight coefficients of the material layer thickness, the temperature of the left furnace tile, and the temperature of the right furnace tile respectively, and satisfy .

7. A control system used in the control method of the biomass methanol preparation gasifier according to any one of claims 1 to 6, characterized in that, It includes: A radar level gauge (1), installed above the first unit of the incinerator grate in the gasifier, for detecting the thickness of the furnace bed layer in real time; A bed layer controller (2), for generating a feeding grate speed adjustment strategy according to the deviation between the detected bed layer thickness and the preset bed layer thickness; A temperature detection module (3), for monitoring the temperatures of the left and right furnace tiles of the first unit in real time; A speed control module (4), for dynamically adjusting the reference speed of the feeding grate by integrating the bed layer thickness deviation and the temperature deviation.

8. The control system adopted by the biomass methanol preparation gasifier control method according to claim 7, characterized in that, It also includes: A feeding volume calculation module (5), for calculating the biomass feeding volume per hour according to the width, speed and feeding port height of the feeding grate; A weight distribution module (6), for dynamically adjusting the weight coefficient according to the influence degrees of the bed layer thickness, the left temperature and the right temperature.

9. The control system adopted by the biomass methanol preparation gasifier control method according to claim 7, characterized in that, The speed control module (4) calculates the final feeding grate speed through the following formula: ， Among them, V F is the final speed of the incinerator grate; is the reference speed of the incinerator grate; is the adjustment amount of the feeding speed affected by the material layer deviation; is the adjustment amount of the feeding speed affected by the temperature of the left furnace tile in the first unit; is the adjustment amount of the feeding speed affected by the temperature of the right furnace tile in the first unit; k 1, k 2 and k 3 are the weight coefficients of the material layer thickness, the temperature of the left furnace tile, and the temperature of the right furnace tile, respectively, and satisfy .

10. The control system adopted by the biomass methanol preparation gasifier control method according to claim 7, characterized in that, It also includes a furnace temperature control module (7), for controlling the primary air volume by adjusting the opening degree of the primary air fan to keep the furnace temperature within a preset range and optimize the composition of the biomass synthesis gas.

Images