Fuel self-adaptive ratio regulation and control method for waste multi-fuel combustion boiler
By using an adaptive fuel ratio control method for waste co-firing boilers, the fuel and boiler operating status are monitored in real time, and the fuel ratio is dynamically adjusted, solving the problems of unstable combustion and pollutant emissions, and achieving efficient and stable boiler operation.
Patent Information
- Application Number
- CN202610421891.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-01
- Publication Date
- 2026-05-26
AI Technical Summary
Existing technologies for co-firing waste boilers lack dynamic adjustment capabilities in their fuel ratio methods, leading to unstable combustion, uneven temperature distribution, decreased thermal efficiency, and increased pollutant emissions. In particular, when processing waste fuels with complex compositions, it is difficult to achieve optimal combustion results.
By monitoring fuel combustion characteristics and boiler operating status in real time, high-performance and low-performance fuel groups are divided. Combined with furnace temperature, exhaust emissions and equipment operating parameters, the influence coefficients of fuel quality and equipment are calculated to achieve adaptive control of fuel ratio and dynamically adjust fuel ratio parameters to adapt to changes in fuel composition and operating status.
It achieves precise and adaptive adjustment of fuel ratio, improves fuel utilization efficiency, enhances boiler stability and combustion efficiency, avoids problems such as uneven combustion and unstable furnace temperature, and ensures continuous, efficient and stable boiler operation.
Smart Images
Figure CN122083359A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of fuel ratio control technology, specifically to an adaptive fuel ratio control method for a waste co-firing boiler. Background Technology
[0002] With increasingly stringent environmental protection requirements and rising demand for energy recovery, waste co-firing boilers are playing an increasingly important role in the field of solid waste treatment and energy utilization. However, due to the wide range of waste fuel sources and complex composition, their combustion characteristics exhibit significant heterogeneity and instability, posing a severe challenge to the stable operation and efficient combustion of boilers. Currently, traditional fuel blending methods mainly rely on manual experience or fixed blending schemes, which are difficult to adapt to dynamic changes in fuel characteristics. When parameters such as ash content, moisture content, and calorific value of the fuel entering the furnace fluctuate, fixed blending can easily lead to problems such as unstable combustion, uneven temperature field distribution, and decreased thermal efficiency. At the same time, incomplete combustion can also produce excessive pollutants, increasing the cost of environmental protection. While there are some fuel blending methods in the existing technology, most of them are based on static proportioning of fuel based on initial characteristics, lacking the ability to perceive and respond to the actual operating status of the boiler. This open-loop control method cannot be dynamically adjusted according to real-time parameters such as combustion quality and equipment operating status, resulting in lagging control and poor adaptability. Especially when dealing with waste fuels with complex composition, a single static proportioning often fails to achieve the best combustion effect. To address the aforementioned shortcomings, a technical solution is provided. Summary of the Invention
[0003] In view of the above-mentioned shortcomings of the existing technology, the present invention provides a fuel adaptive ratio control method for waste co-firing boilers, which can effectively solve the problems of poor static ratio adaptability, control lag and unstable operation caused by the complex and variable fuel composition in the existing technology.
[0004] To achieve the above objectives, the present invention can be implemented through the following technical solutions: This invention provides a method for adaptive fuel ratio control in a waste co-firing boiler, comprising the following steps: Step 1: Obtain the combustion characteristic parameters of various fuels in the material entry area during the current monitoring period, including ash content, water content, density and calorific value. Calculate the combustion performance values of various fuels based on the combustion characteristic parameters, and classify the fuels into high-performance fuel groups and low-performance fuel groups according to the combustion performance values. Calculate the average combustion performance of the two groups of fuels respectively, and obtain the difference between them to get the initial performance difference. Determine the corresponding fuel ratio parameters based on the initial performance difference. Step 2: Collect and analyze temperature data and exhaust emission data to obtain temperature fluctuation values and exhaust emission fluctuation values, thereby determining the fuel quality influence coefficient; Step 3: Collect and analyze the steam pressure waveform and feedwater flow rate from the equipment operating parameters to obtain the steam pressure fluctuation value and feedwater flow rate fluctuation value, thereby determining the equipment operation impact coefficient; Step 4: Calculate the combined impact value by weighting the fuel quality impact coefficient and the equipment operation impact coefficient; Step 5: Based on the comprehensive impact value, perform calibration analysis on the initial performance difference to obtain the calibrated performance difference, and adjust the fuel ratio parameters accordingly.
[0005] Furthermore, the specific process of classifying fuels into high-performance fuel groups and low-performance fuel groups is as follows: By acquiring the ash content, moisture content, density, and calorific value of various fuels in the material entry area during the current monitoring period, the values of these four parameters are extracted and normalized to obtain the combustion performance values of various fuels. The combustion performance values of various fuels are compared with preset reference thresholds. When the combustion performance value of a certain fuel is greater than or equal to the preset reference threshold, the fuel is identified as a high-performance fuel. When the combustion performance value of a certain fuel is less than the preset reference threshold, the fuel is identified as a low-performance fuel. This results in high-performance fuel packs and low-performance fuel packs.
[0006] Furthermore, the corresponding fuel blending parameters are determined based on the initial performance difference. The specific process is as follows: The initial performance difference is compared and matched with the stored performance difference judgment table to obtain the performance difference judgment level. Based on the performance difference judgment level, the corresponding preset fuel ratio parameter is retrieved and matched with the high-performance fuel group and the low-performance fuel group to determine the fuel ratio parameter.
[0007] Furthermore, the specific process for solving for the temperature fluctuation value is as follows: Temperature data was collected over a monitoring period. The monitoring period was used as the horizontal axis, and the temperature at the corresponding time point was used as the vertical axis to establish a dynamic coordinate system for furnace temperature. The temperature data over the monitoring period was plotted on the dynamic coordinate system, and two temperature reference lines were set on the dynamic coordinate system: an upper temperature reference line and a lower temperature reference line. The positional relationship between the temperature of each point on the dynamic coordinate system and the two set temperature reference lines was analyzed. The temperatures of each point above the upper temperature reference line and below the lower temperature reference line were marked as abnormal points, and the temperatures of each point between the upper temperature reference line and the lower temperature reference line were marked as normal points. The total number of marked abnormal points and normal points was counted, and the ratio of the total number of abnormal points to the total number of normal points was calculated to obtain the temperature fluctuation value RS1 during boiler operation.
[0008] Furthermore, the specific process for solving the fluctuation value of exhaust gas emissions is as follows: Waste gas emission data were collected over a monitoring period. The waste gas emission data for each monitoring time point was extracted from the waste gas emission data over the monitoring period. The waste gas emission data for each monitoring time point over the monitoring period were arranged in descending order to obtain the waste gas emission sequence for the monitoring period. The values of the maximum waste gas emission, minimum waste gas emission, median waste gas emission, and mode waste gas emission were selected from the sequence and calculated and analyzed to obtain the waste gas emission fluctuation value RS2 during boiler operation.
[0009] Furthermore, the specific process for determining the fuel quality influence coefficient is as follows: The values of temperature fluctuation (RS1) and exhaust emission fluctuation (RS2) are extracted and normalized according to the formula: The influence coefficient of fuel quality was obtained. Among them, RS1 * and RS2 * These represent the set reference temperature fluctuation value and reference exhaust emission fluctuation value, respectively. and These represent the set correction factors.
[0010] Furthermore, the specific process for solving the steam pressure fluctuation value is as follows: By acquiring the steam pressure waveform at each monitoring time point during a period of boiler operation, and matching the steam pressure waveform at each monitoring time point during a period of boiler operation with the set reference steam pressure waveform, a matching diagram of the steam pressure waveform at each monitoring time point during a period of boiler operation is obtained. The deviation area, peak deviation difference value and trough deviation difference value are extracted from the diagram and calculated and analyzed to obtain the steam pressure fluctuation value SB1 during boiler operation.
[0011] Furthermore, the specific process for solving the fluctuation value of water supply flow is as follows: By acquiring the feedwater flow rate at various monitoring time points during a period of boiler operation and labeling it as gs i， Extract the standard feedwater flow rate during boiler operation as the reference feedwater flow rate and label it as gs. i * Based on the formula: The feedwater flow fluctuation value SB2 during boiler operation is obtained, where A represents the natural constant, and gsz i This indicates the deviation value of the water supply flow rate. This indicates the set correction factor.
[0012] Furthermore, the specific process for determining the equipment operation impact coefficient is as follows: The equipment operation impact coefficient is obtained by weighting the steam pressure fluctuation value and the feedwater flow fluctuation value with the corresponding reference value.
[0013] Furthermore, a calibration analysis is performed on the initial performance difference based on the comprehensive impact value. The specific process is as follows: The overall impact value is matched with the performance difference correction coefficient corresponding to each set overall impact value to obtain the performance difference correction coefficient; The initial performance difference is multiplied by the performance difference correction factor to obtain the calibrated performance difference. The calibrated performance difference is then used to re-query the performance difference judgment table to obtain the optimized fuel ratio parameters, which are then sent to the actuator to complete the ratio readjustment.
[0014] The technical solution provided by this invention has the following advantages compared with the known prior art: 1. This invention, by real-time detection and quantitative analysis of the combustion characteristic parameters (ash content, moisture content, density, and calorific value) of various fuels in the feed zone, constructs a combustion performance value model and divides the fuels into high-performance fuel groups and low-performance fuel groups. Thus, accurate performance classification and initial proportion calculation can be achieved before the fuel enters the furnace. Compared with the traditional method of relying on experience and manual mixing, it can realize the quantification and adaptive adjustment of fuel proportions, thereby improving fuel utilization efficiency.
[0015] 2. This invention obtains the fuel quality influence coefficient through joint analysis of furnace temperature fluctuation and exhaust gas emission fluctuation, and then obtains the equipment operation influence coefficient through comprehensive calculation of steam pressure fluctuation and feedwater flow fluctuation. Based on this, a comprehensive influence value is formed, realizing a multi-dimensional feedback dynamic control closed loop, enabling the proportioning strategy to adaptively optimize according to the boiler operating status, significantly improving stability and combustion efficiency.
[0016] 3. This invention, by linking the comprehensive impact value with the performance difference correction coefficient, dynamically corrects the fuel performance difference when the boiler operating status fluctuates, thereby achieving real-time rebalancing of the fuel ratio strategy. This effectively avoids problems such as uneven combustion and unstable furnace temperature caused by fuel fluctuations or operating disturbances, ensuring that the boiler operates in a continuously efficient and stable state. Attached Figure Description
[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0018] Figure 1 This is a flowchart illustrating the overall process of the present invention. Detailed Implementation
[0019] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.
[0020] like Figure 1 As shown, a method for adaptive fuel ratio control in a waste co-firing boiler includes the following steps: Step 1: Obtain the combustion characteristic parameters of various fuels in the material entry area during the current monitoring period. These parameters include ash content, moisture content, density, and calorific value. Based on these combustion characteristic parameters, analyze the fuel blending parameters for the current monitoring period. The specific analysis process is as follows: By acquiring the ash content, moisture content, density, and calorific value of various fuels in the material storage area (waste storage area) during the current monitoring period, and labeling them as FQ1, FQ2, FQ3, and FQ4 respectively, the values of the four are extracted and normalized according to the set formula: The combustion performance values FQZ for various fuels were obtained, among which, , , and These represent the weighting coefficients for ash content, moisture content, density, and calorific value, respectively, satisfying... Among the combustion characteristic parameters, the higher the calorific value and the greater the density of the fuel, the better its combustion performance. Conversely, the higher the ash content and water content, the worse the fuel's combustion performance. Therefore, the higher the combustion performance value, the better the overall combustion performance and the higher the compatibility of that type of fuel. The combustion performance values of various fuels are compared with preset reference thresholds. When the combustion performance value of a certain fuel is greater than or equal to the preset reference threshold, the fuel is identified as a high-performance fuel. When the combustion performance value of a certain fuel is less than the preset reference threshold, the fuel is identified as a low-performance fuel. This results in high-performance fuel packs and low-performance fuel packs; Combustion performance values of high-performance and low-performance fuel groups are extracted and averaged to obtain the average combustion performance values of the high-performance and low-performance fuel groups. The difference between the average combustion performance values of the high-performance and low-performance fuel groups is then calculated to obtain the initial performance difference value. The initial performance difference value is compared and matched with the performance difference judgment table stored in the cloud database to obtain the performance difference judgment level. Each initial performance difference value corresponds to a performance difference judgment level. Based on the performance difference judgment level, the corresponding preset fuel ratio parameter is retrieved and matched with the high-performance and low-performance fuel groups to determine the fuel ratio parameter for the current monitoring period, providing guidance for the actual application ratio of various fuels. Step 2: Monitor the combustion quality during boiler operation to obtain combustion quality status parameters. The specific monitoring process is as follows: Thermocouple sensors are arranged in the middle of the boiler furnace and at the furnace outlet. The thermocouple sensors are used to continuously collect temperature data over a period of time. A dynamic coordinate system for furnace temperature is established by using a monitoring period as the horizontal axis and the temperature at the corresponding time point as the vertical axis. Temperature data within a monitoring period are plotted on this dynamic coordinate system, and two temperature reference lines are set on it: an upper temperature reference line and a lower temperature reference line. The positional relationship between the temperature of each point on the dynamic coordinate system and the two set temperature reference lines is analyzed. Temperatures above the upper temperature reference line and below the lower temperature reference line are marked as abnormal points, and temperatures between the upper temperature reference line and the lower temperature reference line are marked as normal points. The total number of abnormal and normal points is counted, and the ratio of the total number of abnormal points to the total number of normal points is calculated to obtain the temperature fluctuation value during boiler operation, which is marked as RS1. A flue gas sensor is installed at the flue outlet to continuously collect exhaust gas emission data over a monitoring period. The emission amounts at each monitoring time point are extracted from this data. These emission amounts are then arranged in descending order to obtain an exhaust gas emission sequence for that period. From this sequence, the maximum, minimum, median, and mode emissions are selected. The median emission is the median value in the exhaust gas emission sequence over the monitoring period, and the mode emission is the mode of the exhaust gas emission sequence over the monitoring period. These values are denoted as Q. max Q min Q med and Q mod According to the formula: The fluctuating value of exhaust gas emissions RS2 during boiler operation was obtained, where Q * The reference exhaust emission is represented by a1, a2, a3, and a4, which are the influence factors corresponding to the maximum, minimum, median, and mode exhaust emissions, respectively. Combustion quality status parameters are composed of temperature fluctuations and exhaust gas emission fluctuations during boiler operation. The influence coefficient of fuel quality during boiler operation was analyzed, and the specific analysis process is as follows: The values of temperature fluctuation (RS1) and exhaust emission fluctuation (RS2) from the combustion quality state parameters are extracted and normalized according to the formula: The influence coefficient of fuel quality was obtained. Among them, RS1 * and RS2 * These represent the set reference temperature fluctuation value and reference exhaust emission fluctuation value, respectively. and These represent the set correction factors; Step 3: Monitor the operating parameters of the equipment during boiler operation to analyze the equipment's operating status. The specific analysis process is as follows: By acquiring steam pressure waveforms at various monitoring time points during a period of boiler operation, and matching these waveforms with a set reference steam pressure waveform, a matching steam pressure waveform map for each monitoring time point during a period of boiler operation is obtained. The deviation area, peak deviation difference value, and trough deviation difference value are then extracted and labeled as ylb1. i ylb2 i and ylb3 iAt the same time, take its value according to the formula: The steam pressure fluctuation value SB1 during boiler operation is obtained, where e represents the set natural constant, i represents the number of each monitoring time point within a certain period, and i = 1, 2, 3...m, where m represents the total number of monitoring time point numbers within a certain period. , and These represent the set weighting factors; By acquiring the feedwater flow rate at various monitoring time points during a period of boiler operation and labeling it as gs i The standard feedwater flow rate during boiler operation is extracted from the cloud database and used as a reference feedwater flow rate, which is then labeled as gs. i * Based on the formula: The feedwater flow fluctuation value SB2 during boiler operation is obtained, where A represents the natural constant, and gsz i This indicates the deviation value of the water supply flow rate. Indicates the set correction factor; The equipment operation influence coefficient is obtained based on the steam pressure fluctuation value SB1 and the feedwater flow fluctuation value SB2 during boiler operation. The specific calculation formula is as follows: Among them, SB1 * and SB2 * These represent the set reference steam pressure fluctuation value and reference feedwater flow rate fluctuation value, respectively. and These represent the set correction factors.
[0021] Step 4: Obtain the fuel quality impact coefficient during boiler operation. and equipment operation impact coefficient The calculation and analysis are performed based on the formula: The comprehensive impact value ZHZ is obtained, where, and These represent the weighting coefficients of the fuel quality influence coefficient and the equipment operation influence coefficient, respectively. .
[0022] Step 5: Based on the comprehensive impact values during boiler operation, perform calibration analysis on the initial performance difference. The specific analysis is as follows: The comprehensive impact value ZHZ during boiler operation is matched with the performance difference correction coefficients corresponding to each comprehensive impact value to obtain the performance difference correction coefficient K. This performance difference correction coefficient K reflects the degree of influence of the operating state on the proportioning strategy: when the operation is stable (the comprehensive impact value ZHZ is small), the performance difference correction coefficient K approaches 1, and the initial proportion based on fuel characteristics is maintained. When the operation deteriorates (the comprehensive impact value ZHZ increases), the performance difference correction coefficient K increases accordingly, indicating that the role of high-performance fuels needs to be strengthened. Then, by multiplying the initial performance difference value by the performance difference correction coefficient K, the calibrated performance difference value is obtained. This calibration process is essentially to dynamically adjust the theoretical proportion difference between high and low performance fuel groups according to the actual operating conditions. Finally, the performance difference judgment table is re-queried using the calibrated performance difference value to obtain the optimized fuel proportioning parameters, and the results are sent to the actuator to complete the proportioning readjustment, ensuring that the proportioning scheme always maintains the best match with the actual operating state of the boiler.
[0023] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims
1. A method for adaptive fuel ratio control in a waste co-firing boiler, characterized in that, Includes the following steps: Step 1: Obtain the combustion characteristic parameters of various fuels in the material entry area during the current monitoring period, including ash content, water content, density and calorific value. Calculate the combustion performance values of various fuels based on the combustion characteristic parameters, and classify the fuels into high-performance fuel groups and low-performance fuel groups according to the combustion performance values. Calculate the average combustion performance of the two groups of fuels respectively, and obtain the difference between them to get the initial performance difference. Determine the corresponding fuel ratio parameters based on the initial performance difference. Step 2: Collect and analyze temperature data and exhaust emission data to obtain temperature fluctuation values and exhaust emission fluctuation values, thereby determining the fuel quality influence coefficient; Step 3: Collect and analyze the steam pressure waveform and feedwater flow rate from the equipment operating parameters to obtain the steam pressure fluctuation value and feedwater flow rate fluctuation value, thereby determining the equipment operation impact coefficient; Step 4: Calculate the combined impact value by weighting the fuel quality impact coefficient and the equipment operation impact coefficient; Step 5: Based on the comprehensive impact value, perform calibration analysis on the initial performance difference to obtain the calibrated performance difference, and adjust the fuel ratio parameters accordingly.
2. The method for adaptive fuel ratio control in a waste co-firing boiler according to claim 1, characterized in that, The specific process of classifying fuels into high-performance fuel groups and low-performance fuel groups is as follows: By acquiring the ash content, moisture content, density, and calorific value of various fuels in the material entry area during the current monitoring period, the values of these four parameters are extracted and normalized to obtain the combustion performance values of various fuels. The combustion performance values of various fuels are compared with preset reference thresholds. When the combustion performance value of a certain fuel is greater than or equal to the preset reference threshold, the fuel is identified as a high-performance fuel. When the combustion performance value of a certain fuel is less than the preset reference threshold, the fuel is identified as a low-performance fuel. This results in high-performance fuel packs and low-performance fuel packs.
3. The adaptive fuel ratio control method for a waste co-firing boiler according to claim 1, characterized in that, The corresponding fuel blending parameters are determined based on the initial performance difference. The specific process is as follows: The initial performance difference is compared and matched with the stored performance difference judgment table to obtain the performance difference judgment level. Based on the performance difference judgment level, the corresponding preset fuel ratio parameter is retrieved and matched with the high-performance fuel group and the low-performance fuel group to determine the fuel ratio parameter.
4. The method for adaptive fuel ratio control in a waste co-firing boiler according to claim 1, characterized in that, The specific process for solving the temperature fluctuation value is as follows: Temperature data was collected over a monitoring period. The monitoring period was used as the horizontal axis, and the temperature at the corresponding time point was used as the vertical axis to establish a dynamic coordinate system for furnace temperature. The temperature data over the monitoring period was plotted on the dynamic coordinate system, and two temperature reference lines were set on the dynamic coordinate system: an upper temperature reference line and a lower temperature reference line. The positional relationship between the temperature of each point on the dynamic coordinate system and the two set temperature reference lines was analyzed. The temperatures of each point above the upper temperature reference line and below the lower temperature reference line were marked as abnormal points, and the temperatures of each point between the upper temperature reference line and the lower temperature reference line were marked as normal points. The total number of marked abnormal points and normal points was counted, and the ratio of the total number of abnormal points to the total number of normal points was calculated to obtain the temperature fluctuation value RS1 during boiler operation.
5. The adaptive fuel ratio control method for a waste co-firing boiler according to claim 1, characterized in that, The specific process for solving the fluctuation value of exhaust gas emissions is as follows: Waste gas emission data were collected over a monitoring period. The waste gas emission data for each monitoring time point was extracted from the waste gas emission data over the monitoring period. The waste gas emission data for each monitoring time point over the monitoring period were arranged in descending order to obtain the waste gas emission sequence for the monitoring period. The values of the maximum waste gas emission, minimum waste gas emission, median waste gas emission, and mode waste gas emission were selected from the sequence and calculated and analyzed to obtain the waste gas emission fluctuation value RS2 during boiler operation.
6. The adaptive fuel ratio control method for a waste co-firing boiler according to claim 1, characterized in that, The specific process for determining the fuel quality influence coefficient is as follows: The values of temperature fluctuation (RS1) and exhaust emission fluctuation (RS2) are extracted and normalized according to the formula: The influence coefficient of fuel quality was obtained. Among them, RS1 * and RS2 * These represent the set reference temperature fluctuation value and reference exhaust emission fluctuation value, respectively. and These represent the set correction factors.
7. The adaptive fuel ratio control method for a waste co-firing boiler according to claim 1, characterized in that, The specific process for solving the steam pressure fluctuation value is as follows: By acquiring the steam pressure waveform at each monitoring time point during a period of boiler operation, and matching the steam pressure waveform at each monitoring time point during a period of boiler operation with the set reference steam pressure waveform, a matching diagram of the steam pressure waveform at each monitoring time point during a period of boiler operation is obtained. The deviation area, peak deviation difference value and trough deviation difference value are extracted from the diagram and calculated and analyzed to obtain the steam pressure fluctuation value SB1 during boiler operation.
8. The adaptive fuel ratio control method for a waste co-firing boiler according to claim 1, characterized in that, The specific process for solving the fluctuation value of water supply flow is as follows: By acquiring the feedwater flow rate at various monitoring time points during a period of boiler operation and labeling it as gs i， Extract the standard feedwater flow rate during boiler operation as the reference feedwater flow rate and label it as gs. i * Based on the formula: The feedwater flow fluctuation value SB2 during boiler operation is obtained, where A represents the natural constant, and gsz i This indicates the deviation value of the water supply flow rate. This indicates the set correction factor.
9. The adaptive fuel ratio control method for a waste co-firing boiler according to claim 1, characterized in that, The specific process for determining the equipment operation impact coefficient is as follows: The equipment operation impact coefficient is obtained by weighting the steam pressure fluctuation value and the feedwater flow fluctuation value with the corresponding reference value.
10. The adaptive fuel ratio control method for a waste co-firing boiler according to claim 1, characterized in that, The initial performance difference was calibrated based on the comprehensive impact value. The specific process is as follows: The overall impact value is matched with the performance difference correction coefficient corresponding to each set overall impact value to obtain the performance difference correction coefficient; The initial performance difference is multiplied by the performance difference correction factor to obtain the calibrated performance difference. The calibrated performance difference is then used to re-query the performance difference judgment table to obtain the optimized fuel ratio parameters, which are then sent to the actuator to complete the ratio readjustment.