Operation regulation and control method and system for biomass gasifier and pollutant purification equipment

Abstract

The invention relates to an operation regulation and control method and system for a biomass gasification furnace and pollutant purification equipment, and relates to the field of biological energy power generation, and the method comprises the following steps: collecting gasification furnace parameters under different loads; collecting thermal parameters of the gasification furnace operating under different loads; collecting combustion tail gas parameters under different loads; operating parameters of the pollutant purification equipment are collected; calling a system operation model, and performing data processing on the gasification furnace parameters, the thermal parameters, the combustion tail gas parameters and the operation parameters to obtain at least two candidate operation schemes of the gasification furnace and the pollutant purification equipment; calling a cost accounting model, and carrying out cost accounting on the at least two candidate operation schemes to obtain operation costs corresponding to the at least two candidate operation schemes; and taking the candidate operation scheme corresponding to the minimum value in the operation cost as a target operation scheme. The biomass gasifier has the effects of improving the power generation efficiency of the biomass gasifier and reducing the power generation cost.

Description

Technical Field

[0001] The present application relates to the field of bioenergy power generation, and particularly to an operation regulation method and system for a biomass gasifier and a pollutant purification device. Background Art

[0002] A biomass gasifier is a device that uses biomass (such as organic materials like wood chips, straw, rice straw, garbage, etc.) as raw materials to produce gasified gas through a gasification reaction and utilize it. The biomass gasifier can be used to generate electric energy, heat energy or for other industrial purposes.

[0003] In the related art, a biomass reaction furnace converts biomass raw materials into gasified gas and solid residues through a series of reactions. After using the gasified gas for power generation, combustion tail gas is obtained. The combustion tail gas is successively subjected to desulfurization, denitrification and dust removal treatments to make the combustion tail gas meet the emission standards.

[0004] Regarding the above related art, the inventors believe that in the processes of desulfurization, denitrification and dust removal, the raw materials or reaction conditions are not adjusted according to the actual situation, and the ability of each device to work together is not exerted, so the operation cost of the whole system is high and the energy consumption is high. Summary of the Invention

[0005] In order to promote the coordination of the biomass gasifier and reduce the power generation cost, the present application provides an operation regulation method and system for a biomass gasifier and a pollutant purification device.

[0006] In a first aspect, the present application provides an operation regulation method for a biomass gasifier and a pollutant purification device, adopting the following technical solution: An operation regulation method for a biomass gasifier and a pollutant purification device includes: Collecting gasifier parameters under different loads, where the gasifier parameters include raw material parameters and measurement parameters, the raw material parameters refer to the properties of the biomass fuel, and the measurement parameters refer to the measurable parameters inside the gasifier; Collecting the thermotechnical parameters of the gasifier operating under different loads, where the thermotechnical parameters are used to describe the electric energy output and heat energy output of the gasifier; Collecting the combustion tail gas parameters under different loads; Collecting the operation parameters of the pollutant purification device, where the operation parameters refer to the relevant parameters required for the pollutant purification device to purify the combustion tail gas and for each pollutant to meet the emission standards; Invoking the system operation model to perform data processing on the gasifier parameters, thermotechnical parameters, combustion tail gas parameters and operation parameters to obtain at least two candidate operation schemes for the gasifier and the pollutant purification device; Call the cost accounting model to conduct cost accounting on the at least two candidate operation plans, and obtain the operation costs corresponding to the at least two candidate operation plans; Select the candidate operation plan corresponding to the minimum value in the operation costs as the target operation plan.

[0007] By adopting the above technical solution, at least two candidate operation plans are obtained through the system operation model and the cost accounting model, and the target operation plan is selected from the at least two candidate operation plans. On the premise of ensuring the normal operation of the biomass gasifier, the operation cost of the biomass gasifier is made as low as possible, achieving the effects of improving the power generation efficiency of the biomass gasifier and reducing the power generation cost.

[0008] Optionally, the system operation model includes a desulfurization system operation model, and the desulfurization system operation model is used to adjust the operation parameters of the desulfurization system according to the gasifier parameters, so that the desulfurization efficiency of the desulfurization system reaches the maximum value; Take the correction parameter as the residual structure and add it to the desulfurization system operation model, and the correction parameter has a non-linear mapping relationship with the gasifier parameters; Collect the measured desulfurization efficiency values corresponding to the gasifier parameters; Call the desulfurization system operation model to predict the desulfurization efficiency of the gasifier parameters, and obtain the calculated desulfurization efficiency value; through the gradient descent method, minimize the mean square error between the measured desulfurization efficiency value and the calculated desulfurization efficiency value to obtain the target model parameters; Add the target model parameters to the desulfurization system operation model.

[0009] By adopting the above technical solution, the operation mode of the desulfurization system is calculated by using the desulfurization system operation model, so that the desulfurization system can complete the desulfurization of the combustion tail gas, achieving the purpose of environmental protection. Moreover, the energy consumption can be reduced as much as possible.

[0010] Optionally, the system operation model includes a denitration system operation model; Set the multi-objective function of the denitration system according to the denitration method of the gasifier; Conduct non-dominated sorting and crowding degree calculation on the multi-objective function to obtain a candidate solution set; Through the elite retention strategy, perform crossover and mutation operations on the candidate solution set to obtain an optimal solution set; Add the optimal solution set as model parameters to the denitration system operation model.

[0011] By adopting the above technical solution, the operation mode of the denitration system is calculated by using the denitration system operation model, so that the denitration system can complete the denitration of the combustion tail gas, achieving the purpose of environmental protection. Moreover, the energy consumption can be reduced as much as possible.

[0012] Optionally, calculate the function solution set of the multi-objective function; Compare the dominance relationship of the function solution set in the objective function space, and divide the function solution set into several non-dominated levels; for individuals in the same non-dominated level, sort them in ascending order according to the function values corresponding to the individuals in the function solution set, and calculate the Euclidean distance sum between adjacent solution sets in the same non-dominated level to obtain the crowding degree quantization index; Fill the maximum value in the crowding degree quantization index into the candidate solution set.

[0013] By adopting the above technical solution, calculating the candidate solution set by using the function solution set and the non-dominated level enables the candidate solution set to meet the requirements of the denitration system operation model, ensuring that the denitration system operation model can obtain a denitration plan that meets the actual requirements.

[0014] Optionally, the system operation model includes a dust removal system operation model; Collect the dust removal parameters of the dust removal system and the surface images of the dust removal bags; Analyze the dust distribution characteristics of the surface images; Call the dust removal system operation model to perform parameter prediction on the dust removal parameters and the dust distribution characteristics to obtain the predicted dust removal operation parameters of the dust removal system; Collect the actual dust removal operation parameters of the dust removal system; Adjust the operation of the dust removal system according to the predicted dust removal operation parameters and the actual dust removal operation parameters.

[0015] By adopting the above technical solution, calculating the operation mode of the dust removal system by using the dust removal system operation model enables the dust removal system to complete the dust removal of the combustion tail gas, achieving the environmental protection purpose. Moreover, the energy consumption can be reduced as much as possible.

[0016] Optionally, call the variable cost calculation model to perform cost prediction on the candidate operation plan to obtain the variable cost; Obtain the fixed cost according to the equipment parameters of the gasifier; Calculate the sum of the variable cost and the fixed cost to obtain the total cost.

[0017] By adopting the above technical solution, calculating the total cost by using the variable cost calculation model and the fixed cost calculation model makes the total cost closer to the actual situation, ensuring that the total cost of the finally obtained target operation plan is as low as possible.

[0018] Optionally, extract the desulfurization absorbent consumption and desulfurization resource consumption from the candidate operation plan; Conduct a cost accounting for the consumption of desulfurization absorbent and the consumption of the desulfurization resources to obtain the variable cost of desulfurization; Extract the consumption of denitration absorbent and the consumption of denitration resources from the candidate operation plans; Conduct a cost accounting for the consumption of denitration absorbent and the consumption of the denitration resources to obtain the variable cost of denitration; Obtain the variable cost of dust removal from the candidate operation plans; Calculate the sum of the variable cost of desulfurization, the variable cost of denitration, and the variable cost of dust removal to obtain the variable cost.

[0019] By adopting the above technical solution, the variable cost is calculated from multiple perspectives, making the variable cost as close to the actual cost consumption as possible, improving the accuracy of the total cost, and thus ensuring the reliability of the target operation plan.

[0020] In a second aspect, the present application provides an operation regulation system for a biomass gasifier and a pollutant purification device, adopting the following technical solution: An operation regulation system for a biomass gasifier and a pollutant purification device, comprising: An acquisition module, configured to acquire gasifier parameters, thermal parameters, combustion exhaust gas parameters, operation parameters, system operation models, cost accounting models, denitration methods, dust removal parameters, surface images, variable cost calculation models, and fixed cost calculation models; a memory, configured to store a program of the operation regulation method for the biomass gasifier and the pollutant purification device; A processor, and the program in the memory can be loaded and executed by the processor to implement the operation regulation method for the biomass gasifier and the pollutant purification device.

[0021] By adopting the above technical solution, at least two candidate operation plans are obtained through the system operation model and the cost accounting model, and a target operation plan is selected from the at least two candidate operation plans. On the premise of ensuring the normal operation of the biomass gasifier, the operation cost of the biomass gasifier is made as low as possible, achieving the effects of improving the power generation efficiency of the biomass gasifier and reducing the power generation cost.

[0022] In a third aspect, the present application provides an intelligent terminal, adopting the following technical solution: An intelligent terminal, comprising a memory and a processor, and a computer program capable of being loaded and executed by the processor is stored on the memory and implements any of the above methods.

[0023] In a fourth aspect, the present application provides a computer storage medium, which can store a corresponding program and has the characteristics of facilitating the improvement of the power generation efficiency of the biomass gasifier and reducing the power generation cost, adopting the following technical solution: A computer-readable storage medium stores a computer program that can be loaded and executed by a processor to perform the regulation method of any one of the above biomass gasifiers.

[0024] In summary, the present application includes at least one of the following beneficial technical effects: 1. Through the system operation model and the cost accounting model, at least two candidate operation plans are obtained, and the target operation plan is selected from at least two candidate operation plans. This enables the operation cost of the biomass gasifier to be as low as possible while ensuring the normal operation of the biomass gasifier, achieving the effect of improving the power generation efficiency of the biomass gasifier and reducing the power generation cost; 2. The operation mode of the desulfurization system is calculated using the desulfurization system operation model, enabling the desulfurization system to complete the desulfurization of the combustion exhaust gas, achieving the purpose of environmental protection. Moreover, the energy consumption can be reduced as much as possible; 3. The total cost is calculated through the variable cost calculation model and the fixed cost calculation model, making the total cost closer to the actual situation and ensuring that the total cost of the finally obtained target operation plan is as low as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 FIG. is a schematic diagram of a biomass gasifier and a supporting system provided by an embodiment of the present application.

[0026] Figure 2 FIG. is a schematic flowchart of an operation regulation method for a biomass gasifier provided by an embodiment of the present application.

[0027] Figure 3 FIG. is a schematic flowchart of an operation regulation method for a desulfurization system provided by an embodiment of the present application.

[0028] Figure 4 FIG. is a schematic flowchart of an operation regulation method for a denitration system provided by an embodiment of the present application.

[0029] Figure 5 FIG. is a schematic flowchart of an operation regulation method for a dust removal system provided by an embodiment of the present application.

[0030] Figure 6 FIG. is a schematic flowchart of a cost calculation method provided by an embodiment of the present application.

[0031] Figure 7 FIG. is a schematic flowchart of a calculation method for variable costs provided by an embodiment of the present application.

[0032] Figure 8 FIG. is a schematic diagram of a regulation system for a biomass gasifier provided by an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0033] To make the objectives, technical solutions and advantages of this application more clear and understandable, the following further details this application in conjunction with the appended Figure 1-8 drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not used to limit this application.

[0034] The embodiments of this application disclose a schematic diagram of a biomass gasifier and a supporting system. Please refer to Figure 1 . This system includes a biomass gasifier 101 and a pollutant purification device 13. The pollutant purification device 13 includes a desulfurization system 131, a denitrification system 132 and a dust removal system 133.

[0035] The biomass gasifier 101 is used to convert biomass raw materials into gasified gas. Exemplarily, the biomass gasifier 101 decomposes biomass raw materials into gasified gas under high temperature conditions. At this time, the obtained gasified gas will contain some impurities, sulfur-containing gases, nitrogen-containing gases, etc. Due to the requirements of gasified gas combustion, the gasified gas needs to be purified first. Therefore, the gasified gas needs to be purified first. Further, the gasified gas can be purified by bag or cyclone dust removal methods. Further, the biomass gasifier 101 feeds the gasified gas into a thermoelectric system 12 to generate electricity and produce combustion tail gas.

[0036] The desulfurization system 131 is used to remove sulfides in the combustion tail gas. Sulfides include sulfur dioxide, hydrogen sulfide, etc. Exemplarily, the desulfurization system 131 uses semi-dry desulfurization to remove sulfides.

[0037] The denitrification system 132 is used to remove nitrogen oxides in the combustion tail gas. Nitrogen oxides include nitric oxide, nitrogen dioxide, etc. Exemplarily, the denitrification system 132 uses SNCR (Selective Non-Catalytic Reduction) + SCR (Selective Catalytic Reduction) denitrification method to remove nitrogen oxides.

[0038] The dust removal system 133 is used to remove solid particles in the combustion tail gas. Exemplarily, the dust removal system 133 removes solid particles by bag dust removal method.

[0039] The embodiments of this application disclose an operation regulation method for a biomass gasifier. Refer to Figure 2 . This method includes: Step S201: Collect gasifier parameters under different loads. The gasifier parameters include raw material parameters and measurement parameters. The raw material parameters refer to the properties of biomass fuels, and the measurement parameters refer to the measurable parameters inside the gasifier.

[0040] The raw material parameters include at least one of the elemental composition, calorific value, and usage amount of the biomass raw material. Exemplarily, in a preset first mapping relationship, the elemental composition is determined according to the type of the biomass raw material, and the first mapping relationship is used to record the correspondence between the type of the biomass raw material and the elemental composition contained in the biomass raw material. Exemplarily, in a preset second mapping relationship, the calorific value is determined according to the type of the biomass raw material, and the second mapping relationship is used to record the correspondence between the type of the biomass raw material and the calorific value of the biomass raw material. Exemplarily, the usage amount is represented by the mass of the biomass raw material.

[0041] The measurement parameters include at least one of the temperature distribution, wind speed, residence time, temperature, composition, impurity content, and combustion temperature of the gasified gas generated by the biomass gasifier. Exemplarily, sensors are arranged in the biomass gasifier, and the above-mentioned temperature, composition, impurity content, and combustion temperature can be obtained through the sensors.

[0042] Step S202: Collect the thermotechnical parameters of the gasifier operating at different loads, where the thermotechnical parameters are used to describe the electrical energy output and thermal energy output of the gasifier.

[0043] The biomass gasifier generates gasified gas, and after combined heat and power generation, combustion tail gas is generated. The electrical energy output of the gasifier refers to the power generation generated by combined heat and power generation. The thermal energy output refers to the temperature and pressure of the hot water and the temperature and pressure of the steam generated by combined heat and power generation.

[0044] Exemplarily, the gasified gas generated by the biomass gasifier is introduced into a combined heat and power system, and the combined heat and power system realizes combined heat and power generation. The combined heat and power system uses the gasified gas for power generation and discharges the combustion tail gas.

[0045] Step S203: Collect the combustion tail gas parameters at different loads.

[0046] The combustion tail gas parameters include at least one of the temperature, flow rate, sulfide concentration, nitrite concentration, and particulate matter concentration of the combustion tail gas before purification and after purification.

[0047] Step S204: Collect the operating parameters of the pollutant purification equipment, where the operating parameters refer to the relevant parameters required for the pollutant purification equipment to purify the combustion tail gas and for each pollutant to meet the discharge standards.

[0048] The operating parameters include at least one of the mass of the purification raw material, the mass of the purification raw material after reaction, the pressure difference of the bag filter, and the amount of particles captured by the bag filter.

[0049] Step S205: Invoke the system operation model to perform data processing on the gasifier parameters, thermotechnical parameters, combustion tail gas parameters, and operating parameters, and obtain at least two candidate operation plans for the gasifier and the pollutant purification equipment.

[0050] The system operation model is used to generate operation plans for biomass gasifiers and supporting pollutant purification equipment, enabling the biomass gasifier to consume the used biomass fuel and purify the combustion tail gas to meet the emission standards.

[0051] Step S206: Invoke the cost accounting model to conduct cost accounting for at least two candidate operation plans, and obtain the operation costs corresponding to at least two candidate operation plans.

[0052] Optionally, obtain the electricity price, water price, and steam price. Based on the electricity price, water price, steam price, power generation amount, and heat supply price, obtain the thermoelectric income of the biomass gasifier. Based on the thermoelectric income and the production expenditure of the biomass gasifier, obtain the operation cost.

[0053] Step S207: Select the candidate operation plan corresponding to the minimum value in the operation cost as the target operation plan.

[0054] Sort the operation costs corresponding to the candidate operation plans from smallest to largest. Select the first and the last in the sorting as the target operation plan.

[0055] By adopting the above technical solutions, at least two candidate operation plans are obtained through the system operation model and the cost accounting model, and the target operation plan is selected from at least two candidate operation plans. On the premise of ensuring the normal operation of the biomass gasifier, the operation cost of the biomass gasifier is made as low as possible, achieving the effects of improving the power generation efficiency of the biomass gasifier and reducing the power generation cost.

[0056] In the following embodiments, the desulfurization process of the biomass gasifier depends on the operation of the desulfurization system and needs to be adjusted according to the actual operation status of the desulfurization system to ensure that the desulfurization system can complete the desulfurization task of the combustion tail gas. Therefore, the embodiments of the present application disclose an operation regulation method for a desulfurization system. Refer to Figure 3 , the method includes: Step S301: Add the correction parameter as a residual structure to the desulfurization system operation model, and the correction parameter has a non-linear mapping relationship with the gasifier parameters.

[0057] In the embodiments of the present application, the system operation model includes a desulfurization system operation model, and the desulfurization system operation model is used to adjust the operation parameters of the desulfurization system according to the gasifier parameters to make the desulfurization efficiency of the desulfurization system reach the maximum value.

[0058] Exemplarily, assume that the desulfurization system operation model is f1(a), where a represents the input parameter of the desulfurization system operation model. Then the desulfurization system operation model after adding the residual structure is f2(a) = f1(a) + Δf.

[0059] Step S302: Collect the measured values of the desulfurization efficiency corresponding to the gasifier parameters.

[0060] Exemplarily, obtain the inlet concentration and the outlet concentration of the desulfurization system. Obtain the measured desulfurization efficiency based on the inlet concentration and the outlet concentration. For example, assume the inlet concentration is C1 and the outlet concentration is C2, then the measured desulfurization efficiency is (C1 - C2) / C1.

[0061] Furthermore, after obtaining the inlet concentration and the outlet concentration, it is necessary to preprocess the inlet concentration and the outlet concentration to remove the outliers and isolated values therein.

[0062] Furthermore, when calculating the measured desulfurization efficiency, select the data required for calculation according to the timestamp. Exemplarily, obtain the first timestamp corresponding to the inlet concentration. Obtain the second timestamp based on the sum of the first timestamp and the preset time difference. Set the time interval according to the second timestamp. Take the outlet concentration whose timestamp is within the time interval as the outlet concentration corresponding to the aforementioned inlet concentration.

[0063] Step S303: Invoke the desulfurization system operation model to predict the desulfurization efficiency of the gasifier parameters, and obtain the calculated desulfurization efficiency value.

[0064] Exemplarily, invoke the desulfurization system operation model, and input the gasifier parameters as input parameters into the desulfurization system operation model. Output the calculated desulfurization efficiency value through the desulfurization system operation model.

[0065] Step S304: By using the gradient descent method, minimize the mean square error between the measured desulfurization efficiency value and the calculated desulfurization efficiency value to obtain the target model parameters.

[0066] Exemplarily, adjust the model parameters of the desulfurization system operation model. Calculate the mean square error between the measured desulfurization efficiency value and the calculated desulfurization efficiency value. Repeat the above two steps to obtain a set of mean square errors. Take the minimum value in the set of mean square errors, and determine the model parameters corresponding to the minimum value as the target model parameters.

[0067] Step S305: Add the target model parameters to the desulfurization system operation model.

[0068] Exemplarily, modify the model parameters of the residual structure in the desulfurization system operation model to the target model parameters.

[0069] By adopting the above technical solution, calculate the operation mode of the desulfurization system by using the desulfurization system operation model, so that the desulfurization system can complete the desulfurization of the combustion tail gas and achieve the environmental protection purpose. Moreover, the energy consumption can be reduced as much as possible.

[0070] In the following embodiments, the denitration process of the biomass gasifier depends on the operation of the denitration system and needs to be adjusted according to the actual operation status of the denitration system to ensure that the denitration system can complete the denitration task of the combustion tail gas. An embodiment of the present application discloses an operation control method for a denitration system. Referring to Figure 4 , the method includes: Step S401: Set the multi-objective function of the denitration system according to the denitration method of the gasifier.

[0071] In the embodiment of the present application, the system operation model includes the denitration system operation model.

[0072] Exemplarily, the multi-objective function includes a denitration efficiency function. The denitration efficiency function is used to represent the denitration efficiency of the denitration system. The optimization objective of the denitration efficiency function is to maximize the denitration efficiency.

[0073] Exemplarily, the multi-objective function includes an ammonia slip function. The ammonia slip function is used to represent the escape amount of the denitration substance used by the denitration system, where the denitration substance is urea. The optimization objective of the ammonia slip function is to minimize the escape amount.

[0074] Exemplarily, the multi-objective function includes an energy consumption function. The energy consumption function is used to represent the energy consumption of the denitration system per unit time. The optimization objective of the energy consumption function is to minimize the energy consumption.

[0075] Exemplarily, the multi-objective function includes an equipment life function. The equipment life function is used to represent the remaining service life of the denitration system. The optimization objective of the equipment life function is to maximize the remaining service life.

[0076] Step S402: Perform non-dominated sorting and crowding degree calculation on the multi-objective function to obtain a candidate solution set.

[0077] Set the optimization objective of the multi-objective function. According to the optimization objective, solve the multi-objective function to obtain a solution set that meets the optimization objective. Through non-dominated sorting and crowding degree calculation, screen the solution set to obtain a candidate solution set.

[0078] Optionally, calculate the function solution set of the multi-objective function. Compare the dominance relationship of the function solution set in the objective function space, and divide the function solution set into several non-dominated levels. For individuals in the same non-dominated level, sort them in ascending order according to the function values corresponding to the individuals in the function solution set, calculate the sum of the Euclidean distances between adjacent solution sets in the same non-dominated level, and obtain a crowding degree quantization index. Fill the maximum value in the crowding degree quantization index into the candidate solution set. Therefore, using the function solution set and non-dominated levels to calculate the candidate solution set makes the candidate solution set meet the requirements of the denitration system operation model, ensuring that the denitration system operation model can obtain a denitration plan that meets the actual requirements.

[0079] Exemplarily, according to the optimization degree among the solution sets in the candidate solution set, the solution sets are sorted by dominance to obtain the dominance degree sorting of the solution sets. For the solution sets within the same non-dominated level, the crowding degree of each solution set is calculated to obtain the crowding degree sorting of the non-dominated level. According to the number of non-dominated levels, the screening quantity of each non-dominated level is obtained, and the screening quantity is negatively correlated with the number of non-dominated levels. According to the screening quantity corresponding to the non-dominated level, solution sets are selected from the crowding degree sorting in order to obtain the candidate solution set.

[0080] Step S403: Through the elitist retention strategy, perform crossover and mutation operations on the candidate solution set to obtain the optimal solution set.

[0081] The elitist retention strategy is used to select a preset proportion of elite candidate solution sets from the candidate solution set according to the optimization degree, and obtain the remaining candidate solution sets. Further, through the elitist retention strategy, the candidate solution set is classified to obtain the elite candidate solution set and the remaining candidate solution sets. Perform crossover and mutation operations on the remaining candidate solution sets to obtain the mutated candidate solution sets. Combine the elite candidate solution sets and the mutated candidate solution sets into the candidate solution set. Repeat the above three operations until the preset number of times, or the elite candidate solution set remains unchanged, and use the elite candidate solution set in the candidate solution set as the optimal solution set.

[0082] The crossover and mutation operations include a crossover operation and a mutation operation. The crossover operation is used to perform binary crossover on two solution sets. The mutation operation is used to perform Gaussian mutation on the solution set.

[0083] Step S404: Add the optimal solution set as model parameters to the denitration system operation model.

[0084] Exemplarily, fill the optimal solution set into the model parameters to achieve the update of the denitration system operation model.

[0085] By adopting the above technical solution, the operation mode of the denitration system is calculated by using the denitration system operation model, so that the denitration system can complete the denitration of the combustion tail gas and achieve the environmental protection purpose. Moreover, the energy consumption can be reduced as much as possible.

[0086] In the following embodiments, to improve the operation efficiency of the dust removal system, it is necessary to adjust the system parameters of the dust removal system according to the actual operation state of the dust removal system to make the operation efficiency of the dust removal system as high as possible. Therefore, the embodiments of the present application disclose an operation regulation method for a dust removal system. Refer to Figure 5 and the method includes: Step S501: Collect the dust removal parameters of the dust removal system and the surface images of the dust removal bags.

[0087] The dust removal parameters include flue gas parameters, equipment parameters, and operating status parameters. Among them, the flue gas parameters include at least one of the flow rate, temperature, humidity, and particulate matter concentration of the combustion flue gas. The equipment parameters include wind speed, pressure drop, cleaning cycle, and porosity of the dust removal bag. The operating status parameters include at least one of the fan power, valve opening, and damage status of the dust removal bag.

[0088] The surface image of the dust removal bag includes the inner surface image and the outer surface image of the dust removal bag. Exemplarily, cameras are installed inside and outside the dust removal bag, and the inner surface image and the outer surface image are obtained through the cameras.

[0089] Step S502: Analyze the dust distribution characteristics of the surface image.

[0090] Exemplarily, preprocess the surface image to obtain the preprocessed surface image. Binarize the preprocessed surface image to obtain a binary image. Calculate the area of the target region in the binary image, where the area of the region refers to the area covered by particulate matter on the dust removal bag. Calculate the ratio of the area of the region to the total area to obtain the coverage rate parameter. According to the gray distribution of the preprocessed surface image, obtain the particulate matter thickness distribution. According to the particulate matter thickness distribution, identify the position parameters of the accumulation region, where the particulate matter thickness in the accumulation region is greater than the thickness threshold and the area of the accumulation region is greater than the area threshold. Integrate the coverage rate parameter, the particulate matter thickness distribution, and the position parameters of the accumulation region to obtain the dust distribution characteristics.

[0091] Step S503: Invoke the dust removal system operation model to perform parameter prediction on the dust removal parameters and the dust distribution characteristics, and obtain the predicted dust removal operation parameters of the dust removal system.

[0092] The predicted dust removal operation parameters include the cleaning cycle, filtration wind speed, wind direction, and remaining life of the dust removal bag.

[0093] Optionally, the dust removal system operation model uses any one of the CNN model, RNN model, and LSTM model. This application does not make specific limitations on the types of the dust removal system operation model.

[0094] Step S504: Collect the actual dust removal operation parameters of the dust removal system.

[0095] The content of the actual dust removal operation parameters is the same as that of the predicted dust removal operation parameters, but there will be differences in numerical values.

[0096] Step S505: Adjust the operation of the dust removal system according to the predicted dust removal operation parameters and the actual dust removal operation parameters.

[0097] Exemplarily, adjust the actual dust removal operation parameters according to the predicted dust removal operation parameters to make the actual dust removal operation parameters close to the predicted dust removal operation parameters.

[0098] By adopting the above technical solution, the operation mode of the dust removal system is calculated by using the operation model of the dust removal system, so that the dust removal system can complete the dust removal of the combustion tail gas and achieve the purpose of environmental protection. Moreover, the energy consumption can be reduced as much as possible.

[0099] In the following embodiments, the cost of the biomass gasifier is divided into two parts: variable cost and fixed cost, to ensure the accuracy of the total cost calculation. Therefore, this application embodiment discloses a cost calculation method. Refer to Figure 6 , the method includes: Step S601: Call the variable cost calculation model to predict the cost of the candidate operation plan and obtain the variable cost.

[0100] The variable cost refers to the cost that changes with the change of the operation state of the biomass gasifier.

[0101] Step S602: Obtain the fixed cost according to the equipment parameters of the gasifier.

[0102] The fixed cost represents the cost that does not change with the change of the operation state of the biomass gasifier.

[0103] Optionally, the fixed cost includes the depreciation cost, management cost, labor cost and other costs of the biomass gasifier.

[0104] For example, the depreciation cost DC i，j =(IC i，j -S i，j ) / N, where DC i，j represents the depreciation cost of the i-th pollutant and the j-th control technology, IC i，j refers to the initial investment amount of the i-th pollutant and the j-th control technology. S i，j represents the value of the equipment of the i-th pollutant and the j-th control technology when it reaches the end of its life. N represents the service life of the equipment.

[0105] For example, the management cost MCC i，j =β×IC i，j , where MCC i，j represents the management cost of the i-th pollutant and the j-th control technology, and β is the proportion of the management cost in the initial investment amount.

[0106] For example, the labor cost LC i，j =Num×C s，i，j , where LC i，j represents the labor cost of the i-th pollutant and the j-th control technology, Num represents the number of staff, and C s，i，j represents the annual salary of the staff.

[0107] For example, other costs where FCi，j Denote the other costs of the j-th control technology for the i-th pollutant as f i，j Denote the ratio of the loan amount to the investment amount as r, the loan interest rate as r, and the ratio of other expenses to the initial investment amount as ω.

[0108] Step S603: Calculate the sum of the variable cost and the fixed cost to obtain the total cost.

[0109] By adopting the above technical solution, the total cost is calculated through the variable cost calculation model and the fixed cost calculation model, making the total cost closer to the actual situation and ensuring that the total cost of the finally obtained target operation plan is as low as possible.

[0110] In the following embodiments, the variable cost is calculated based on the operating states of different operating systems and needs to be adjusted in real time according to the operating states to ensure the accuracy of the variable cost calculation. Therefore, an embodiment of the present application discloses a method for calculating the variable cost. Refer to Figure 7 , the method includes: Step S701: Extract the desulfurization absorbent consumption and desulfurization resource consumption from the candidate operation plans.

[0111] The desulfurization absorbent consumption refers to the consumption of the sulfur absorbent used in the desulfurization system.

[0112] The desulfurization resource consumption refers to the consumption of at least one of water, desulfurizing agent, and electricity used in the desulfurization system.

[0113] Step S702: Conduct cost accounting on the desulfurization absorbent consumption and the desulfurization resource consumption to obtain the desulfurization variable cost.

[0114] Calculate the desulfurization absorbent cost corresponding to the desulfurization absorbent consumption. Calculate the desulfurization resource cost corresponding to the desulfurization resource consumption. Calculate the sum of the desulfurization absorbent cost and the desulfurization resource cost to obtain the desulfurization variable cost.

[0115] Exemplarily, the desulfurization absorbent cost corresponding to the desulfurization absorbent consumption is Wherein, c 1，in Denotes the content of sulfur dioxide in the flue gas from combustion entering the desulfurization system. c 1，out Denotes the content of sulfur dioxide in the flue gas from combustion leaving the desulfurization system. Q V Refers to the flow rate of the flue gas from combustion. M1 denotes the molar mass of the sulfur absorbent. M2 denotes the molar mass of sulfur dioxide. η denotes the ratio of the calcium-sulfur ratio to the purity of the sulfur absorbent. AOH refers to the annual operating time of the biomass gasifier. P1 refers to the price of the sulfur absorbent.

[0116] Exemplarily, the desulfurization resource cost corresponding to the desulfurization resource consumption is MC2=(w fg+w wst +w gyp ) × AOH × P2, where w fg is the amount of water carried in the combustion flue gas leaving the desulfurization system. w wst is the amount of water carried by the wastewater. w gyp is the amount of water carried after the reaction of the sulfur absorbent. P2 refers to the price of water.

[0117] Step S703: Extract the consumption of the denitration absorbent and the consumption of denitration resources from the candidate operation plans.

[0118] The consumption of the denitration absorbent refers to the consumption of the reducing agent used in the denitration system.

[0119] The consumption of denitration resources refers to the consumption of the catalyst used in the denitration system.

[0120] Step S704: Conduct a cost accounting for the consumption of the denitration absorbent and the consumption of denitration resources to obtain the variable cost of denitration.

[0121] Calculate the denitration absorbent cost corresponding to the consumption of the denitration absorbent. Calculate the denitration resource cost corresponding to the consumption of denitration resources. Calculate the sum of the denitration absorbent cost and the denitration resource cost to obtain the variable cost of denitration.

[0122] Exemplarily, the denitration absorbent cost corresponding to the consumption of the denitration absorbent is where AOH refers to the annual operating time of the biomass gasifier. Q v refers to the flow rate of the combustion flue gas. c 2，in refers to the content of nitrogen oxides in the combustion flue gas entering the denitration system. c 2，out refers to the content of nitrogen oxides in the combustion flue gas leaving the denitration system. M3 refers to the molar mass of the reducing agent. M4 refers to the molar mass of nitrogen dioxide. AS refers to ammonia slip. P3 refers to the unit price of the reducing agent.

[0123] Exemplarily, the denitration resource cost corresponding to the consumption of denitration resources is where M5 refers to the molar mass of the catalyst. P4 refers to the unit price of the catalyst.

[0124] Step S705: Obtain the variable cost of dust removal from the candidate operation plans.

[0125] The variable cost of dust removal is the cost of the electric energy consumed by the dust removal system.

[0126] Step S706: Calculate the sum of the variable cost of desulfurization, the variable cost of denitration, and the variable cost of dust removal to obtain the variable cost.

[0127] By adopting the above technical solution, the variable cost is calculated from multiple perspectives, making the variable cost as close as possible to the actual cost consumption, improving the accuracy of the total cost, and thus ensuring the reliability of the target operation plan.

[0128] Based on the same inventive concept, an embodiment of the present application provides an operation regulation system for a biomass gasifier. Please refer to Figure 8 , the system includes: An acquisition module 801, configured to acquire gasifier parameters, thermal parameters, combustion exhaust gas parameters, operation parameters, system operation models, cost accounting models, denitration methods, dust removal parameters, surface images, variable cost calculation models, and fixed cost calculation models; a memory 802, configured to store the program of the above-mentioned operation regulation method of the biomass gasifier; A processor 803, the program in the memory can be loaded and executed by the processor and implement the above-mentioned operation regulation method of the biomass gasifier.

[0129] By adopting the above technical solution, at least two candidate operation plans are obtained through the system operation model and the cost accounting model, and the target operation plan is selected from at least two candidate operation plans. On the premise of ensuring the normal operation of the biomass gasifier, the operation cost of the biomass gasifier is made as low as possible, achieving the effect of improving the power generation efficiency of the biomass gasifier and reducing the power generation cost.

[0130] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the above-mentioned division of each functional module is used as an example. In actual applications, the above-mentioned functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. The specific working processes of the above-described system, device, and unit can refer to the corresponding processes in the foregoing method embodiments and will not be repeated here.

[0131] An embodiment of the present application provides a computer-readable storage medium, storing a computer program that can be loaded and executed by a processor to implement the operation regulation method of the biomass gasifier and the pollutant purification equipment.

[0132] Computer storage media include, for example: USB flash drives, mobile hard disks, read-only memories (ROM), random access memories (RAM), magnetic disks, or optical discs and other various media that can store program codes.

[0133] Based on the same inventive concept, an embodiment of the present application provides an intelligent terminal, including a memory and a processor, and a computer program that can be loaded and executed by the processor to implement the operation regulation method of the biomass gasifier and the pollutant purification equipment is stored on the memory.

[0134] Those skilled in the art can clearly understand that, for the convenience and conciseness of description, only the division of the above functional modules is used as an example. In actual applications, the above functions can be allocated to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. For the specific working processes of the systems, devices, and units described above, reference can be made to the corresponding processes in the foregoing method embodiments, which will not be elaborated herein.

[0135] The above are all preferred embodiments of the present application. The protection scope of the present application is not limited thereby. Any feature disclosed in this specification (including the abstract and drawings), unless specifically described, can be replaced by other equivalent or similar-purpose alternative features. That is, unless specifically described, each feature is only an example of a series of equivalent or similar features.

Claims

1. A method for operating and regulating a biomass gasifier and a pollutant purification device, characterized in that, The method includes: Collecting gasifier parameters under different loads, where the gasifier parameters include raw material parameters and measurement parameters. The raw material parameters refer to the properties of biomass fuels, and the measurement parameters refer to the measurable parameters inside the gasifier; Collecting the thermotechnical parameters of the gasifier operating under different loads, where the thermotechnical parameters are used to describe the electrical energy output and thermal energy output of the gasifier; Collecting combustion exhaust gas parameters under different loads; Collecting the operating parameters of the pollutant purification equipment, where the operating parameters refer to the relevant parameters required for the pollutant purification equipment to purify the combustion exhaust gas and for each pollutant to meet the discharge standards; Invoking the system operation model to perform data processing on the gasifier parameters, thermotechnical parameters, combustion exhaust gas parameters, and operating parameters to obtain at least two candidate operation plans for the gasifier and the pollutant purification equipment; Invoking the cost accounting model to perform cost accounting on the at least two candidate operation plans to obtain the operation costs corresponding to the at least two candidate operation plans; Taking the candidate operation plan corresponding to the minimum value in the operation costs as the target operation plan.

2. The method according to claim 1, wherein The system operation model includes a desulfurization system operation model, which is used to adjust the operating parameters of the desulfurization system according to the gasifier parameters so that the desulfurization efficiency of the desulfurization system reaches the maximum value; The method further includes: Taking the correction parameter as a residual structure and adding it to the desulfurization system operation model, where the correction parameter has a non-linear mapping relationship with the gasifier parameters; Collecting the measured desulfurization efficiency values corresponding to the gasifier parameters; Invoking the desulfurization system operation model to predict the desulfurization efficiency of the gasifier parameters to obtain the calculated desulfurization efficiency value; By the gradient descent method, minimizing the mean square error between the measured desulfurization efficiency value and the calculated desulfurization efficiency value to obtain the target model parameters; Adding the target model parameters to the desulfurization system operation model.

3. The method according to claim 1, characterized in that The system operation model includes a denitration system operation model; The method further includes: Setting a multi-objective function for the denitration system according to the denitration method of the gasifier; Performing non-dominated sorting and crowding degree calculation on the multi-objective function to obtain a candidate solution set; Through the elitist retention strategy, performing crossover and mutation operations on the candidate solution set to obtain an optimal solution set; Taking the optimal solution set as model parameters and adding them to the denitration system operation model.

4. The method according to claim 3, characterized in that, The performing non-dominated sorting and crowding degree calculation on the multi-objective function to obtain a candidate solution set includes: Calculating the function solution set of the multi-objective function; Comparing the dominance relationship of the function solution set in the objective function space and dividing the function solution set into several non-dominated levels; For individuals in the same non-dominated level, arranging them in ascending order according to the function values corresponding to the individuals in the function solution set, calculating the sum of the Euclidean distances between adjacent solution sets in the same non-dominated level to obtain a crowding degree quantization index; Taking the maximum value in the crowding degree quantization index and filling it into the candidate solution set.

5. The method according to claim 1, characterized in that The system operation model includes a dust removal system operation model; The method further includes: Collecting the dust removal parameters of the dust removal system and the surface images of the dust removal bags; Analyzing the dust distribution characteristics of the surface images; Call the dust removal system operation model to perform parameter prediction on the dust removal parameters and the dust distribution characteristics, and obtain the predicted dust removal operation parameters of the dust removal system; Collect the actual dust removal operation parameters of the dust removal system; Adjust the operation of the dust removal system according to the predicted dust removal operation parameters and the actual dust removal operation parameters.

6. The method according to claim 1, wherein The method further includes: Call the variable cost calculation model to perform cost prediction on the candidate operation plan, and obtain the variable cost; Obtain the fixed cost according to the equipment parameters of the gasifier; Calculate the sum of the variable cost and the fixed cost to obtain the total cost.

7. The method according to claim 6, wherein The calling the variable cost calculation model to perform cost prediction on the candidate operation plan and obtain the variable cost includes: Extract the desulfurization absorbent consumption and desulfurization resource consumption from the candidate operation plan; Perform cost accounting on the desulfurization absorbent consumption and the desulfurization resource consumption to obtain the desulfurization variable cost; Extract the denitration absorbent consumption and denitration resource consumption from the candidate operation plan; Perform cost accounting on the denitration absorbent consumption and the denitration resource consumption to obtain the denitration variable cost; Obtain the dust removal variable cost from the candidate operation plan; Calculate the sum of the desulfurization variable cost, the denitration variable cost and the dust removal variable cost to obtain the variable cost.

8. A control system for a biomass gasifier, characterized in that, The system is used to execute the operation regulation method of the biomass gasifier and the pollutant purification equipment according to any one of claims 1 to 7. The system includes: An acquisition module, configured to acquire gasifier parameters, thermal parameters, combustion tail gas parameters, operation parameters, system operation models, cost accounting models, denitration methods, dust removal parameters, surface images, variable cost calculation models and fixed cost calculation models; A memory, configured to store the program of the operation regulation method of the biomass gasifier and the pollutant purification equipment; A processor, the program in the memory can be loaded and executed by the processor and implement the operation regulation method of the biomass gasifier and the pollutant purification equipment.

9. An intelligent terminal, characterized in that, Including a memory and a processor, and a computer program capable of being loaded and executed by the processor is stored on the memory, such as any one of the methods according to claims 1 to 7.

10. A computer-readable storage medium, characterized in that, Stored with a computer program capable of being loaded and executed by the processor, such as any one of the methods according to claims 1 to 7.

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