Adjusting method and device of cooling air system, storage medium and electronic equipment

Abstract

The invention discloses an adjusting method and device of a cooling air system, a storage medium and electronic equipment. According to the method, the static pressure deviation coefficient, the temperature gradient coefficient and the load adaptation coefficient are calculated, dispersion parameters are converted into derivative indexes, and the pressure balance, the heat exchange intensity and the load state are quantitatively represented. And according to the load adaptation coefficient interval, determining an adjustment reference, namely normal range thresholds of the static pressure deviation coefficient and the temperature gradient coefficient under different loads, breaking through the limitation of a fixed threshold, and enabling the reference to be dynamically adjusted along with the loads. Based on the standard, the real-time load, the static pressure deviation coefficient and the temperature gradient coefficient serve as key parameters, the amplitude of an air volume adjusting baffle is calculated through the incidence relation, accurate matching of cooling air supply, load and pressure balance and heat exchange requirements is achieved, the problem of insufficient or excessive supply under a fixed threshold value is avoided, sufficient cooling of slag is guaranteed, and the service life of the furnace is prolonged. Heat loss and energy waste are reduced, and stable and efficient operation of the system is maintained.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of boiler slag discharge, and in particular to a cooling air system adjusting method and device, a storage medium and an electronic device. BACKGROUND

[0002] During the operation of the boiler, after the high-temperature slag block falls to the bottom of the furnace, the ambient cold air will enter from the cooling air ports densely arranged around the dry slag machine and the conveying device under the influence of the negative pressure in the furnace chamber to cool the high-temperature slag on the conveying device. However, this cooling air has limitations, that is, the cooling air cannot reach the inside of the slag well. Therefore, when the high-temperature slag is discharged from the slag well discharge port and falls into the steel belt, it is always not effectively cooled by the cooling air during the short stay in the slag well, and can only maintain a high-temperature state. This will cause long-term roasting of the metal parts at the bottom of the slag well and the slag discharge port, and further accelerate the oxidation corrosion and mechanical wear of the parts. Not only does this increase the maintenance frequency and cost of the equipment, but it can also cause operation failure of the slag discharge system due to premature failure of the parts. SUMMARY

[0003] In view of the above problems, the present application provides a cooling air system adjusting method and device, a storage medium and an electronic device.

[0004] To solve the above technical problems, the present application proposes the following solutions:

[0005] In a first aspect, the application provides a method for adjusting a cooling air system, the cooling air system comprising: an annular air chamber arranged between a slag discharge port of a slag well of a boiler and a feed inlet of a dry slag discharging machine, the annular air chamber being arranged circumferentially around the slag discharge port of the slag well, at least two groups of cooling air pipes extending radially from the annular air chamber, each group of the cooling air pipes being symmetrically distributed on two sides of an axis of the slag discharge port of the slag well, and air outlets of the cooling air pipes being directed towards a slag layer at the bottom of the slag well, the cooling air pipes being provided with air volume adjusting baffles, pressure measuring points and temperature measuring points, and the bottom of the slag well being provided with static pressure measuring points and temperature measuring points; the method comprising: obtaining static pressure and temperature of the slag well, pressure and temperature of the cooling air pipes, and real-time load of the boiler; calculating derived parameters, the derived parameters comprising a static pressure deviation coefficient, a temperature gradient coefficient and a load adaptation coefficient, wherein the static pressure deviation coefficient is a ratio of the pressure of the cooling air pipes to the static pressure of the slag well, the temperature gradient coefficient is a ratio of a difference between the temperature of the cooling air pipes and the temperature of the slag well to the temperature of the slag well, and the load adaptation coefficient is a ratio of the real-time load of the boiler to a rated load; determining an adjusting reference according to a load interval in which the load adaptation coefficient is located, the adjusting reference being used to indicate normal range thresholds of the static pressure deviation coefficient and the temperature gradient coefficient under different load intervals; and based on the adjusting reference, taking the real-time load of the boiler, the static pressure deviation coefficient and the temperature gradient coefficient as key parameters, calculating an adjusting range of the air volume adjusting baffles through a correlation among the three parameters, and adjusting the air volume adjusting baffles according to the adjusting range, so as to balance the static pressure of the slag well and the pressure of the cooling air pipes, and at the same time ensure that a gradient between the temperature of the cooling air and the temperature of the slag well is within a threshold range.

[0006] In a second aspect, the application provides an adjusting device for a cooling air system, the cooling air system comprising: an annular air chamber arranged between a slag discharge port of a slag well of a boiler and a feed inlet of a dry slag discharging machine, the annular air chamber being arranged circumferentially around the slag discharge port of the slag well, at least two groups of cooling air pipes extending radially from the annular air chamber, each group of the cooling air pipes being symmetrically distributed on two sides of an axis of the slag discharge port of the slag well, and air outlets of the cooling air pipes being directed towards a slag layer at the bottom of the slag well, the cooling air pipes being provided with air volume adjusting baffles, pressure measuring points and temperature measuring points, and the bottom of the slag well being provided with static pressure measuring points and temperature measuring points; the adjusting device for the cooling air system comprising:

[0007] an obtaining module, configured to obtain static pressure and temperature of the slag well, pressure and temperature of the cooling air pipes, and real-time load of the boiler;

[0008] a parameter module, configured to calculate derived parameters, the derived parameters comprising a static pressure deviation coefficient, a temperature gradient coefficient and a load adaptation coefficient, wherein the static pressure deviation coefficient is a ratio of the pressure of the cooling air pipes to the static pressure of the slag well, the temperature gradient coefficient is a ratio of a difference between the temperature of the cooling air pipes and the temperature of the slag well to the temperature of the slag well, and the load adaptation coefficient is a ratio of the real-time load of the boiler to a rated load;

[0009] The determining module is configured to determine the adjustment reference according to a load interval in which the load adaptation coefficient is located, the adjustment reference being used to indicate normal range thresholds of the static pressure deviation coefficient and the temperature gradient coefficient under different load intervals.

[0010] The adjusting module is configured to, based on the adjustment reference, take the real-time load of the boiler, the static pressure deviation coefficient and the temperature gradient coefficient as key parameters, calculate an adjustment range of the air volume adjusting baffle through the correlation of the three parameters, and adjust the air volume adjusting baffle according to the adjustment range, so as to balance the static pressure of the slag well and the pressure of the cooling air pipe, and ensure that the gradient between the cooling air temperature and the slag well temperature is within the threshold range.

[0011] To achieve the above-mentioned purpose, according to the third aspect of the present application, a storage medium is provided, which comprises a stored program, wherein the device where the storage medium is located executes the adjustment method of the cooling air system of the first aspect when the program runs.

[0012] To achieve the above-mentioned purpose, according to the fourth aspect of the present application, an electronic device is provided, which comprises at least one processor and at least one memory connected with the processor, and the processor and the memory complete the communication with each other through the bus; the processor is used to call the program instruction in the memory to execute the adjustment method of the cooling air system of the first aspect.

[0013] Through the above technical solutions, the technical solutions provided by the present application have at least the following advantages:

[0014] The cooling air system defined in the present application comprises an annular air chamber arranged circumferentially around the slag well slag discharge port, and a cooling air pipe radially extending from the annular air chamber and symmetrically distributed on both sides of the slag well slag discharge port axis and having an air outlet facing the slag layer at the bottom of the slag well. This design allows the cooling air to directly act on the high-temperature slag in the slag well, breaking the limitation of the traditional cooling air that cannot reach the interior of the slag well.

[0015] On this basis, by calculating the static pressure deviation coefficient, the temperature gradient coefficient and the load adaptation coefficient, the dispersed parameters are converted into derived indexes with clear physical meaning, realizing the quantitative characterization of the pressure balance relationship between the cooling air and the slag well, the heat exchange intensity and the boiler load state. Further, according to the interval where the load adaptation coefficient is located, the adjustment reference is determined, that is, the normal range threshold of the static pressure deviation coefficient and the temperature gradient coefficient under different loads, breaking the limitation of the fixed threshold, so that the adjustment reference can be dynamically adjusted with the change of the load. Finally, based on the adjustment reference, the key parameters of the real-time load of the boiler, the static pressure deviation coefficient and the temperature gradient coefficient are used to calculate the adjustment range of the air volume adjusting baffle through the correlation among the three, realizing the accurate matching of the cooling air supply, the boiler load, the pressure balance and the heat exchange demand. When the load change leads to the change of the slag discharge amount and the slag temperature, the application can automatically adjust the cooling air volume according to the real-time parameter correlation, avoiding the problems of insufficient or excessive cooling air supply under the fixed threshold, ensuring sufficient cooling of the slag, reducing the heat loss of the furnace and energy waste, and thus maintaining the stable and efficient operation of the system under various working conditions.

[0016] The above description is only a summary of the technical scheme of the application. In order to enable the technical means of the application to be more clearly understood and implemented according to the content of the description, and in order to enable the above and other purposes, characteristics and advantages of the application to be more apparent and easy to understand, the following specific embodiments of the application are described. BRIEF DESCRIPTION OF DRAWINGS

[0017] Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The accompanying drawings are included to provide a description of the preferred embodiments and are not meant to limit the scope of the present application. Moreover, the same reference numerals in different drawings represent the same or similar elements. In the drawings:

[0018] Figure 1 A flowchart of an adjusting method of a cooling air system is shown;

[0019] Figure 2 A structural schematic diagram of a boiler and a slag discharge system is shown;

[0020] Figure 3 A structural schematic diagram of a cooling air system is shown;

[0021] Figure 4 A structural schematic diagram of an adjusting device of a cooling air system is shown. DETAILED DESCRIPTION

[0022] Exemplary embodiments of the present application will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the scope of the present application to those skilled in the art.

[0023] In the embodiments of this application, the terms "first," "second," etc., do not have a logical or temporal dependency, nor do they limit the quantity or execution order. It should also be understood that although the following description uses the terms "first," "second," etc., to describe various elements, these elements should not be limited by the terms. These terms are merely used to distinguish one element from another.

[0024] In this application, the term "at least one" means one or more, and the term "multiple" means two or more.

[0025] During boiler operation, after the high-temperature slag falls to the bottom of the furnace, the furnace is under negative pressure, and cool air from the environment enters through the dense cooling air vents around the dry slag machine and conveying device to cool the high-temperature slag on the conveying device. However, this cooling method has significant shortcomings. The cooling air cannot reach the inside of the slag pit. This means that the high-temperature slag cannot be effectively cooled during the brief period it remains in the slag pit before being discharged from the slag discharge port and falling onto the steel belt, and it remains at a high temperature. As a result, the metal components at the bottom of the slag pit and the slag discharge port are exposed to high temperatures for a long time, which accelerates the oxidation, corrosion, and mechanical wear of these components. This not only increases the frequency and cost of equipment maintenance but may also cause operational failures in the slag discharge system due to premature component damage.

[0026] Based on this, this application provides a method for adjusting a cooling air system, which will be described in detail below with reference to the accompanying drawings. Figure 1 A flowchart illustrating a method for adjusting a cooling air system provided in this application. Specifically, it includes the following steps:

[0027] Step 110: Obtain the static pressure and temperature of the slag well, the pressure and temperature of the cooling air duct, and the real-time load of the boiler.

[0028] Before introducing the adjustment method of the cooling air system, the hardware structure of the cooling air system involved in this application will be described in detail to better understand the basis for implementing the subsequent adjustment method. The cooling air system of this application plays a key role in the boiler ash discharge process. Its structural design is closely centered on efficient ash cooling and maintaining stable system operation, and the specific structure is as follows.

[0029] like Figure 2As shown, an annular air chamber is arranged at the joint area of the boiler slag well slag discharge port and the dry slag discharge machine feed port of the slag discharge system. The annular air chamber is arranged circumferentially around the slag well slag discharge port and forms a closed annular air supply cavity. Its role is to serve as a centralized distribution unit for cooling air. Through the circumferential design, cooling air can be uniformly delivered to the periphery of the slag well slag discharge port, ensuring that the slag layer at the bottom of the slag well is fully and evenly covered by cooling air. At least two groups of cooling air pipes extend radially from the annular air chamber (i.e., along the radius direction of the slag well slag discharge port). Each group of cooling air pipes is strictly symmetrically distributed on both sides of the axis of the slag well slag discharge port. This symmetrical arrangement allows cooling air to be delivered from symmetrically located positions around the slag well slag discharge port, avoiding the problem of uneven cooling of the slag layer caused by one-sided air supply. The air outlets of the cooling air pipes are directed towards the slag layer at the bottom of the slag well, ensuring that the cooling air directly acts on the high-temperature slag and achieves efficient cooling of the slag. Before the slag falls into the dry slag discharge machine feed port from the slag well slag discharge port, the cooling air can be precisely blown to the slag layer through the air outlets, quickly removing the heat of the slag. The static pressure measuring point and the temperature measuring point (on the slag well side) are arranged at the bottom of the slag well to directly monitor the environmental parameters inside the slag well. The static pressure data reflect the force balance state in the slag well (coordinated with the pressure of the cooling air pipe, used to judge the pressure matching of the air chamber and the slag well); the temperature data directly reflect the cooling effect of the slag, and are one of the core bases for adjusting the cooling air.

[0030] As shown, Figure 3 The air volume adjusting baffle is arranged on the cooling air pipe to actively control the delivery amount of the cooling air. During operation, the opening degree can be dynamically adjusted according to parameters such as boiler load, slag well temperature / pressure, etc., to achieve precise adaptation of the cooling air volume, for example, increasing the opening degree when the load increases, and decreasing the opening degree when the load decreases. The pressure measuring point and the temperature measuring point (on the pipe side) are installed on the cooling air pipe to collect pressure and temperature data of the cooling air in the pipe in real time. These data reflect the delivery state of the cooling air (such as pipe blockage, excessive air volume, etc. if the pressure is abnormal; heat exchange effect if the temperature is abnormal), providing a basis for system control.

[0031] From the above introduction of the structure of the cooling air system, it can be known that the coordinated work of each component of the system lays a foundation for precise cooling air adjustment. Based on such hardware architecture, the following will elaborate how to obtain key parameters such as the static pressure and temperature of the slag well, the pressure and temperature of the cooling air pipe, and the real-time load of the boiler. The acquisition of these parameters is an important basis for subsequent cooling air system adjustment.

[0032] For the acquisition of static pressure and temperature of slag well, the key monitoring area of slag well should be determined first. As an important part of the boiler slag discharge system, the internal static pressure of slag well directly reflects the pressure balance relationship between the furnace and the slag discharge channel, while the temperature is related to the cooling effect of the slag and the safety of the equipment operation. Specifically, the collection of static pressure needs to select at least two monitoring points of different heights on the side wall of the slag well, usually near the top and middle of the slag well, and realize it by installing high-precision pressure sensors. These sensors should use high-temperature and wear-resistant materials, such as high-temperature resistant alloy shell combined with ceramic pressure sensitive elements, to adapt to the high-temperature flue gas and dust environment that may exist in the slag well. The acquisition of temperature needs to embed armored thermocouple or thermistor sensor in the inner wall of the slag well, and K-type thermocouple is preferred to meet the temperature measurement range requirement of 300-1000℃. The detection end of the sensor should be in direct contact with the gas or slag in the slag well to ensure that the true temperature value is detected.

[0033] The pressure and temperature acquisition of the cooling air pipe need to determine the monitoring position according to the structure characteristics and airflow state of the pipe. The cooling air pipe is responsible for delivering cooling medium to the slag well, its pressure reflects the supply strength of the cooling air, and the temperature reflects the initial state of the cooling air before heat exchange with the slag, both of which affect the cooling efficiency. The pressure monitoring point should be set on the straight pipe section near the slag well inlet of the cooling air pipe to avoid the influence of airflow disturbance caused by pipe bends, valves and other components on the pressure detection accuracy. The pressure sensor installed here needs to have the ability to resist airflow impact, and the range is determined according to the design parameters of the cooling air system, generally a micro-pressure sensor with a range of 0-10kPa can meet the requirement. The temperature monitoring point can be set adjacent to the pressure monitoring point, using a platinum resistance temperature sensor with a measurement range covering ambient temperature to 200℃, which can accurately capture the temperature change of the cooling air in the pipe. The installation of the sensor needs to ensure that the temperature sensing element is completely placed in the airflow to avoid measurement deviation caused by direct contact with the pipe wall.

[0034] The acquisition of the real-time load of the boiler needs to rely on the control system or related detection device of the boiler itself. The load of the boiler is a core parameter reflecting the running state of the boiler and is directly related to the combustion intensity in the furnace, the amount of slag discharge and the cooling demand, and the value thereof is usually expressed as a percentage of the rated load or actual evaporation (t / h). There are two acquisition methods: one is to directly read through the boiler distributed control system (DCS) and to call the real-time load data from the DCS through a data communication interface (such as Modbus, OPC, etc.), which can ensure the authority and real-time of the data and is suitable for boilers equipped with perfect automatic systems; the other is to calculate the approximate real-time load value through indirect detection means in the case where the DCS data cannot be directly acquired, for example, by measuring the fuel consumption, main steam flow and main steam pressure of the boiler, and converting the parameters in combination with the heat efficiency curve of the boiler. Regardless of the method used, the sampling frequency of the load data needs to be ensured to be not less than 1 time / s to meet the requirement of the data timeliness of dynamic control.

[0035] Through the sensing arrangement and data acquisition mechanism of the above-mentioned links, the static pressure of the slag well, the temperature of the slag well, the pressure of the cooling air pipeline, the temperature of the cooling air pipeline and the real-time load of the boiler can be comprehensively acquired, sufficient and accurate basic data for the control logic of the subsequent cooling air regulation, slag well state judgment and the like based on these parameters are provided, and the stable and efficient operation of the entire slag discharge system is ensured.

[0036] Step 120, calculating derived parameters.

[0037] After acquiring the basic parameters such as the static pressure and temperature of the slag well, the pressure and temperature of the cooling air pipeline and the real-time load of the boiler, the static pressure deviation coefficient, the temperature gradient coefficient and the load adaptation coefficient which are three derived parameters need to be obtained through the preset calculation logic, and these parameters can more directly reflect the correlation between the key indicators of the system, and provide a quantitative basis for the subsequent control strategy.

[0038] The calculation of the static pressure deviation coefficient is based on the ratio of the cooling air pipeline pressure to the static pressure of the slag well, and the core function thereof is to measure the balance state between the cooling air supply pressure and the internal pressure of the slag well. In the specific calculation, the cooling air pipeline pressure value and the static pressure value of the slag well collected at the same time are called, and the two are compared to obtain the static pressure deviation coefficient. For example, when the cooling air pipeline pressure is 3 kPa and the static pressure of the slag well is 1.5 kPa, the static pressure deviation coefficient is 2, which reflects that the cooling air pressure is 2 times the static pressure of the slag well, and can be used to judge the surplus degree of the cooling air pressure relative to the internal pressure of the slag well. If the static pressure deviation coefficient is too large, it means that the cooling air supply is excessive, resulting in energy waste or imbalance of the internal pressure of the slag well; if the static pressure deviation coefficient is too small, it means that the cooling air pressure is insufficient to meet the slag cooling demand, thereby affecting the safety of the slag discharge system.

[0039] The temperature gradient coefficient is calculated based on the ratio of the difference between the cooling air pipe temperature and the slag tank temperature and the slag tank temperature, which is used to represent the temperature difference between the cooling air and the environment in the slag tank, which directly affects the heat exchange efficiency between the cooling air and the slag. In the calculation process, the cooling air pipe temperature and the slag tank temperature at the same time are obtained first, the difference between the two (the cooling air pipe temperature minus the slag tank temperature) is calculated, and then the difference is divided by the slag tank temperature, and the result is the temperature gradient coefficient. It should be noted that since the slag tank temperature is usually higher than the cooling air temperature, the difference calculated may be negative, so the temperature gradient coefficient is usually negative, and the larger the absolute value, the greater the temperature difference between the cooling air and the slag tank, and theoretically the stronger the heat exchange power and the more significant the cooling effect; on the contrary, if the absolute value is too small, it means that the temperature of the cooling air and the slag tank is close, the heat exchange efficiency is reduced, and the slag may not be effectively cooled. For example, when the cooling air pipe temperature is 50℃ and the slag tank temperature is 500℃, the difference between them is -450℃, and the temperature gradient coefficient is -450 / 500 = -0.9, which clearly reflects the temperature gradient state at this time, providing a quantitative index for evaluating the heat exchange potential of the cooling air.

[0040] The load adaptation coefficient is calculated by the ratio of the real-time load of the boiler to the rated load, which is used to quantify the deviation of the current boiler operating load from the design condition, and is a key parameter for correlating the slag discharge system with the overall operation state of the boiler. In the calculation, the real-time load is divided by the rated load, and the obtained parameter value is the load adaptation coefficient. For example, when the rated load of the boiler is 600t / h and the real-time load is 480t / h, the load adaptation coefficient is 480 / 600 = 0.8, indicating that the current load is 80% of the rated load; if the real-time load is 660t / h (overload operation), the load adaptation coefficient is 1.1. The size of the load adaptation coefficient is directly related to the amount of slag produced. The larger the load adaptation coefficient, the higher the boiler combustion intensity, the greater the amount of slag, and the higher the demand for the cooling system; the smaller the load adaptation coefficient, the less the amount of slag, and the lower the cooling demand. By calculating the load adaptation coefficient in real time, the control of the slag discharge system can be dynamically related to the boiler load, realizing on-demand adjustment and avoiding the problem of mismatch between cooling capacity and actual demand.

[0041] The calculation of the above three derived parameters is based on the basic parameters collected at the same time, and the calculation process is automatically completed by the operation module built in the control system, and the operation frequency is consistent with the sampling frequency of the basic parameters (not less than 1 time / second), to ensure the real-time and effectiveness of the parameters. Through the analysis of these derived parameters, the running state and mutual influence of each link of the system can be better understood, providing comprehensive and accurate quantitative basis for the subsequent intelligent control strategy, and then realizing the efficient and safe operation of the slag discharge system.

[0042] Step 130, determining the adjustment reference according to the load interval in which the load adaptation coefficient is located.

[0043] In determining the adjustment reference, the core lies in that the normal range threshold of the static pressure deviation coefficient and the temperature gradient coefficient is respectively demarcated according to different load intervals where the load adaptation coefficient is located, and these thresholds jointly constitute the reference of the system operating state under each load interval, which provides clear judgment basis for subsequent adjustment operation. Since the combustion intensity, slag discharge amount and heat exchange demand of the boiler under different loads exist significant differences, the corresponding static pressure balance relationship and temperature gradient state also need to be adjusted, and therefore the load adaptation coefficient needs to be divided into several continuous load intervals covering the whole operating range, each interval corresponding to a set of independent adjustment reference, so as to ensure the system characteristics under different loads.

[0044] Specifically, first, according to the design operating characteristics and actual working condition requirements of the boiler, the value range of the load adaptation coefficient (usually 0 to 1.2, covering low load, rated load and short-term overload state) is divided into several intervals. For example, it can be divided into a low load interval (such as 0≤load adaptation coefficient<0.6), a medium load interval (such as 0.6≤load adaptation coefficient≤1.0) and a high load interval (such as 1.0<load adaptation coefficient≤1.2). The boundary values of the divided intervals can be adjusted according to the type of the boiler (such as power plant boiler, industrial boiler), fuel characteristics (such as coal powder, biomass) and operating stability requirements. For example, for an industrial boiler with large fuel calorific value fluctuation, the range of the medium load interval can be appropriately reduced (such as 0.5≤load adaptation coefficient≤0.9) to improve the adaptability of the adjustment reference in this interval; and for a stable operating power plant boiler, the medium load interval can be set to 0.7≤load adaptation coefficient≤1.0 to ensure a wider stable adjustment interval near the rated load.

[0045] For each divided high, medium and low load interval, the normal range threshold of static pressure deviation coefficient in each interval needs to be determined by combining theoretical calculation, historical operation data statistics and field test verification. In the low load interval (such as 0≤ load adaptation coefficient <0.6), due to the low boiler combustion intensity and small amount of slag discharge, the supply of cooling air only needs to meet the basic cooling demand, at this time the normal range threshold of static pressure deviation coefficient can be set to a small value, such as 1.1-1.4, to avoid excessive cooling air leading to imbalance of pressure in the slag well, while reducing unnecessary energy consumption. In the medium load interval (such as 0.6≤ load adaptation coefficient ≤1.0), the boiler combustion and slag discharge amount are at a medium level, the cooling air demand is moderate, and the normal range threshold of static pressure deviation coefficient can be set to 1.5-2.0, which can ensure the cooling effect and maintain the stable balance of system pressure. In the high load interval (such as 1.0< load adaptation coefficient ≤1.2), the boiler is in a high intensity operation state, the amount of slag discharge is large and the temperature is high, and sufficient cooling air supply is needed to strengthen cooling, so the normal range threshold of static pressure deviation coefficient needs to be set to a higher value, such as 2.1-2.6, to ensure that the cooling air pressure has sufficient excess relative to the static pressure of the slag well, meeting the high intensity cooling demand. The determination of these thresholds needs to be based on a large amount of historical operation data, to select the static pressure deviation coefficient value range in each load interval when the system runs stably, the cooling effect meets the standard and the energy consumption is reasonable, combined with furnace thermodynamic calculation to verify its matching with the amount of slag discharge and the cooling air demand, and fine-tuned through field trial operation, for example, if the lower limit of the threshold in a certain interval leads to frequent cooling air shortage, the lower limit value is appropriately reduced to ensure that the finally determined threshold can cover the parameter fluctuations in normal operation and accurately identify abnormal conditions, providing a reliable judgment basis for subsequent adjustment.

[0046] At the same time, for each load interval, the normal range threshold of temperature gradient coefficient also needs to be determined simultaneously. The normal range of temperature gradient coefficient needs to match the cooling demand under this load interval.

[0047] In the low load range, the boiler combustion intensity is low, the amount of slag discharge is small, and the slag temperature is relatively low. The heat exchange demand between the cooling air and the slag is weak. At this time, a large temperature difference is not needed to meet the cooling requirements, so the normal range threshold of the temperature gradient coefficient can be set to a small absolute value range, for example, -0.5 to -0.3. This range means that the temperature difference between the cooling air and the slag well is at a low level, which can avoid excessive consumption of cooling air and prevent local stress damage of equipment caused by excessive temperature difference, while meeting the basic cooling demand. In the medium load range, the boiler combustion and the amount of slag discharge are at a medium level, the slag temperature is moderate, and the cooling demand is relatively stable. The corresponding temperature gradient coefficient normal range threshold needs to be set to a medium absolute value range, for example, -0.7 to -0.5. The temperature difference in this range can provide a moderate driving force for the heat exchange process, ensuring that the slag is cooled to a safe temperature during transportation, while balancing the cooling effect and energy consumption, avoiding energy waste caused by insufficient temperature difference or excessive temperature difference. In the high load range, the boiler is in a high-intensity operating state, the amount of slag is large, and the temperature is significantly increased. A stronger heat exchange driving force is needed to quickly reduce the slag temperature, so the normal range threshold of the temperature gradient coefficient needs to be set to a larger absolute value range, for example, -1.0 to -0.8. A larger absolute value corresponds to a larger temperature difference, which can provide sufficient heat exchange power for the cooling of a large amount of high-temperature slag, ensuring that the slag temperature is quickly reduced after contacting the cooling air, meeting the temperature requirements of the equipment after the slag is cooled (such as below 150°C to protect the dry slag discharge machine).

[0048] When determining these thresholds, multiple factors need to be considered: first, the supply capacity of the cooling air system (such as the maximum air volume, the cooling air temperature adjustment range) is combined to ensure that the set temperature difference is within the range that the system can achieve; second, the heat dissipation characteristics of the slag well (such as material, insulation performance) are considered to avoid external environmental interference on the actual temperature gradient; at the same time, the target of slag cooling is taken as the basis, and the minimum temperature gradient (i.e. the lower limit of the absolute value of the temperature gradient coefficient) required under different loads is calculated by backstepping, for example, the minimum temperature difference required to ensure that the slag is cooled to a safe temperature under high load is determined by calculation, and then the critical value of the temperature gradient coefficient is obtained; finally, combined with the fluctuation law of the temperature parameters in actual operation (such as the fluctuation range of the cooling air temperature affected by the environment), a certain buffer space is reserved based on the minimum temperature gradient to determine the upper and lower limits of the threshold. For example, the minimum temperature gradient coefficient is calculated to be -0.6 (corresponding to a temperature difference that can meet the cooling target) in the medium load range, and considering the actual temperature fluctuation of ±3°C, the threshold is set to -0.7 to -0.5, which not only covers the normal fluctuation, but also ensures that the cooling effect meets the standard, and finally forms a reasonable normal range threshold of the temperature gradient coefficient under different load ranges.

[0049] In addition, the adjustment reference of each load interval is not fixed, but needs to have certain dynamic adjustment capability. In the system operation process, the historical data can be continuously analyzed through self-learning algorithm, and when it is found that the actual running static pressure deviation coefficient or temperature gradient coefficient in a certain load interval is within the normal threshold value, but the system energy consumption is higher or the cooling effect is poor, the adjustment reference of the interval is automatically fine-tuned to make it more suitable for the actual working condition. At the same time, if the boiler is modified (such as optimization of the combustion system, replacement of the slag discharge equipment), the running characteristics change, and the adjustment reference of each load interval can also be reset through manual calibration to ensure that it always has effective reference value. Through this adjustment reference setting method based on load interval division, the normal range of static pressure deviation coefficient and temperature gradient coefficient can be accurately matched with the boiler load, providing scientific and clear basis for subsequent real-time adjustment, and ensuring that the system can maintain the optimal running state under any load.

[0050] Step 140, based on the adjustment reference, taking the real-time load of the boiler, the static pressure deviation coefficient and the temperature gradient coefficient as key parameters, calculating the adjustment range of the air volume regulation baffle through the correlation of the three, and adjusting the air volume regulation baffle according to the adjustment range.

[0051] When the static pressure deviation coefficient is greater than the upper limit of the normal range threshold value of the corresponding load interval, it means that the ratio of the cooling air pipe pressure to the static pressure of the slag well exceeds the reasonable range under the load, and there may be a problem of excessive supply of cooling air, which needs to be adjusted by adjusting the air volume regulation baffle to reduce the supply strength of the cooling air to restore the static pressure deviation coefficient to the normal range. This adjustment process needs to be executed step by step according to the preset logic. First, the current load interval of the boiler is mapped to the adjustment sensitivity coefficient according to the first mapping relationship. The adjustment sensitivity coefficient is used to represent the response strength of the static pressure deviation abnormality under different loads, and the core logic is that the higher the load, the more sensitive the cooling air system to the static pressure deviation, and the adjustment needs to be faster to avoid impact on the slag discharge system. Specifically, the first mapping relationship is the corresponding relationship between load interval and adjustment sensitivity coefficient established through a large number of tests and historical data.

[0052] For example, in the low load interval, the boiler combustion intensity is low, the amount of slagging is small, the overall operation of the system is relatively stable, the influence of static pressure deviation on the slagging system is relatively mild, and the corresponding adjustment sensitivity coefficient can be set to a lower value (such as 0.3-0.5). For example, 0.4 is taken as the adjustment sensitivity coefficient of this interval, at this time the adjustment amplitude is smaller each time, which can avoid new fluctuations caused by excessive adjustment, and ensure the stability of the system under low load. In the medium load interval, the boiler combustion and the amount of slagging are at a medium level, the influence degree of static pressure deviation is between low load and high load, and the adjustment sensitivity coefficient needs to be set to a medium value (such as 0.6-0.7). For example, 0.65, this value can ensure timely adjustment when the static pressure deviation occurs, and will not cause the system parameters to fluctuate sharply due to the large adjustment amplitude, achieving a balance between adjustment effect and stability. In the high load interval, the boiler is in a high intensity operation state, the amount of slagging is large and the furnace pressure fluctuates frequently, and the static pressure deviation out of limit may quickly cause the imbalance of the slag well pressure, which has a significant impact on the safety of the system, so the adjustment sensitivity coefficient needs to be set to a higher value (such as 0.8-1.0). For example, 0.9 is taken as the adjustment sensitivity coefficient of this interval, which ensures that when the static pressure deviation occurs, it can be quickly corrected by a large amplitude adjustment to avoid equipment damage or operation failure caused by adjustment lag. This mapping relationship needs to be stored in the parameter library of the control system, when the current load interval is determined through the load adaptation coefficient, the control system can directly call the corresponding adjustment sensitivity coefficient from the parameter library to provide the basic parameter for subsequent calculation of the adjustment amplitude of the air volume adjusting damper, ensuring that the adjustment strategy is adapted to the system characteristics under the current load.

[0053] After determining the adjustment sensitivity coefficient, the proportional factor of the static pressure deviation coefficient exceeding the upper limit of the threshold value of the corresponding load interval needs to be calculated, which is used to quantify the severity of the deviation and is a key parameter for determining the adjustment amplitude. When calculating, first, the difference between the measured value of the current static pressure deviation coefficient and the upper limit of the normal range threshold of the static pressure deviation coefficient under the load interval is obtained, and then the difference is divided by the threshold upper limit to obtain the result, which is the proportional factor. Its calculation formula can be expressed as: proportional factor = (current static pressure deviation coefficient - threshold upper limit) / threshold upper limit. For example, if the static pressure deviation coefficient normal upper limit of a load interval is 2.0, and the current measured value is 2.5, the difference is 0.5, and the proportional factor is 0.5 / 2.0 = 0.25, indicating that the current deviation exceeds the upper limit by 25%. The size of the proportional factor directly reflects the extent of the static pressure deviation out of limit, the larger the proportional factor, the more serious the deviation, and the larger the adjustment amplitude required; on the contrary, a smaller proportional factor corresponds to a smaller adjustment amplitude. It should be noted that in order to avoid excessive adjustment amplitude caused by too large proportional factor, the maximum value of the proportional factor (such as 0.5) is usually set, and when the calculation result exceeds the maximum value, it is automatically calculated according to the maximum value to ensure the stability of the adjustment process.

[0054] Finally, based on the proportional factor and the adjustment sensitivity coefficient calculated above, the adjustment range of the air volume adjustment damper is determined, and the calculation formula of the adjustment range can be set as: adjustment range = proportional factor x adjustment sensitivity coefficient x basic adjustment amount, wherein the basic adjustment amount is a preset unit adjustment range (such as a percentage of the damper opening, usually 5%-10%), which is used to convert the product of the proportional factor and the sensitivity coefficient into an actual executable adjustment amount. For example, when the proportional factor is 0.25, the adjustment sensitivity coefficient is 0.8, and the basic adjustment amount is 10%, the adjustment range = 0.25 x 0.8 x 10% = 2%, that is, the control air volume adjustment damper is closed by 2%, so as to reduce the supply amount of cooling air and reduce the cooling air pipeline pressure, so as to make the static pressure deviation coefficient fall back to the normal range.

[0055] In actual application, the adjustment range also needs to be limited in combination with the adjustment characteristics (such as linear adjustment range and response speed) of the damper, for example, the maximum adjustment range (such as 5%) of a single adjustment is set to prevent the damper from moving too much and causing the system parameters to fluctuate sharply; at the same time, the calculation of the adjustment range needs to be updated in real time, that is, the static pressure deviation coefficient data is collected once, and then it is recalculated once, until the static pressure deviation coefficient returns to the normal range threshold, and the adjustment is stopped. Through this adjustment range determination method based on the proportional factor and the adjustment sensitivity coefficient, accurate and stable correction of the static pressure deviation can be realized, which not only ensures the effectiveness of the adjustment, but also avoids the influence of excessive adjustment on the stability of the system, so that the cooling air system is always adapted to the boiler load and the slag well state.

[0056] When the static pressure deviation coefficient is less than the lower limit of the normal range threshold corresponding to the load interval, it indicates that the ratio of the cooling air pipeline pressure to the static pressure of the slag well is lower than the reasonable level under the load interval, and there may be a problem of insufficient supply of cooling air, which may lead to insufficient cooling of the slag, and further affect the safe operation of the slag discharge system. Therefore, the opening of the air volume adjustment damper needs to be increased to increase the supply amount of cooling air, so as to restore the static pressure deviation coefficient to the normal range, and this process needs to be executed in a predetermined logical order to ensure the accuracy and stability of the adjustment.

[0057] Firstly, the current load interval of the boiler is mapped to an adjustment gain coefficient according to a second mapping relationship. The adjustment gain coefficient is used to reflect the response characteristics of the adjustment intensity to the problem of low static pressure deviation coefficient under different load intervals. The setting basis is the sensitivity of the system to the lack of cooling air under different loads. For example, in the low load interval, the boiler combustion intensity is low, the amount of slag is small and the temperature is relatively low, the influence of the lack of cooling air on the cooling effect of the slag is relatively mild, and excessive adjustment may lead to sudden excess of cooling air, so the corresponding adjustment gain coefficient needs to be set to a low value (such as 0.6-0.7). For example, taking 0.65 as the adjustment gain coefficient of this interval, it can slowly supplement the air volume when the cooling air is insufficient, and can also avoid the pressure fluctuation caused by excessive adjustment, and ensure the smooth operation of the system under low load. In the medium load interval, the boiler combustion and the amount of slag are at a medium level, the influence degree of the lack of cooling air is moderate, and the adjustment gain coefficient needs to be set to a medium value (such as 0.75-0.85). For example, 0.8, this value can achieve moderate response to the lack of cooling air, while supplementing the cooling air to correct the static pressure deviation, and taking into account the stability of the adjustment, avoiding the dramatic fluctuation of the parameters. In the high load interval, the boiler is in a high-intensity operating state, the amount of slag is large and the temperature is high, the lack of cooling air will quickly lead to substandard slag cooling, and even damage the subsequent conveying equipment, the sensitivity of the system to the lack of cooling air is significantly improved, so the adjustment gain coefficient needs to be set to a high value (such as 0.9-1.1). For example, taking 1.0 as the adjustment gain coefficient of this interval, it ensures that when the static pressure deviation coefficient is detected to be low, the cooling air supply can be quickly increased through strong adjustment intensity, to make up for the lack of cooling air in time, and to protect the slag cooling effect and system safety. The establishment of the second mapping relationship needs to be based on a large amount of experimental data, combined with the dynamic characteristics of the balance between supply and demand of cooling air under different loads, the corresponding relationship between each load interval and the adjustment gain coefficient is determined through regression analysis, and is stored in the control system, so as to be directly called when the static pressure deviation coefficient is detected to be lower than the lower limit of the threshold.

[0058] Secondly, the proportion factor of the static pressure deviation coefficient below the lower threshold of the corresponding load interval is calculated, which is used to quantify the degree of deficiency of the static pressure deviation coefficient and is one of the core parameters to determine the adjustment range. In specific calculation, the difference between the measured value of the current static pressure deviation coefficient and the lower threshold of the corresponding load interval threshold (threshold lower limit minus current measured value) is obtained first, and then the difference is divided by the threshold lower limit to obtain the result, which is the proportion factor. Its calculation formula can be expressed as: proportion factor = (threshold lower limit - current static pressure deviation coefficient) / threshold lower limit. For example, if the normal lower limit of the static pressure deviation coefficient of a certain load interval is 1.5 and the current measured value is 1.2, the difference is 0.3 and the proportion factor is 0.3 / 1.5=0.2, indicating that the current static pressure deviation coefficient is 20% lower than the threshold lower limit. The size of the proportion factor directly reflects the severity of the insufficient supply of cooling air. The larger the proportion factor, the more significant the deviation, and the larger the required adjustment range. Conversely, a smaller proportion factor corresponds to a smaller adjustment range. To avoid excessive adjustment range caused by a large proportion factor, the maximum value of the proportion factor (such as 0.6) is usually set. When the calculation result exceeds this value, the maximum value is automatically calculated to ensure the stability of system adjustment.

[0059] Finally, based on the proportion factor and the adjustment gain coefficient calculated above, the adjustment range of the air volume adjustment damper is determined. The calculation formula of the adjustment range can be set as: adjustment range = proportion factor x adjustment gain coefficient x reference adjustment amount, where the reference adjustment amount is a preset single adjustment basis value (such as the percentage of damper opening, usually 5%-15%), which is used to convert the product of the proportion factor and the adjustment gain coefficient into the actual executable damper action amount. For example, when the proportion factor is 0.2, the adjustment gain coefficient is 0.9, and the reference adjustment amount is 10%, the adjustment range = 0.2 x 0.9 x 10% = 1.8%, i.e. the control air volume adjustment damper is opened by 1.8%, to increase the supply of cooling air, improve the pressure of the cooling air pipeline, and promote the static pressure deviation coefficient to return to the normal range.

[0060] In actual adjustment process, the adjustment range also needs to be limited in combination with the mechanical characteristics of the damper (such as adjustment linearity, action response time), for example, the maximum opening of single adjustment (such as 8%) is set to prevent the damper from opening too much at a moment, causing the cooling air pressure to rise suddenly and causing new system fluctuations. At the same time, the calculation of the adjustment range needs to be consistent with the parameter acquisition frequency (such as once every second), and the adjustment command is continuously output until the static pressure deviation coefficient returns to the normal range threshold of the corresponding load interval, and the adjustment operation is stopped.

[0061] Through the adjustment logic based on the second mapping relationship, the proportional factor and the adjustment gain coefficient, the adjustment range of the cooling air adjustment damper can be determined according to the system characteristics under different loads, the adjustment range of the cooling air adjustment damper is determined, the air volume is quickly supplemented when the cooling air is insufficient, and the system stability is avoided from being disturbed by excessive adjustment, so that safe and efficient operation of the slag discharge system under various load conditions is realized.

[0062] When the temperature of the cooling air pipeline is lower than the temperature of the slag well and the temperature gradient coefficient exceeds the normal range threshold of the corresponding load interval, it indicates that the temperature difference between the cooling air and the slag well deviates from the reasonable interval under the load, which may affect the heat exchange efficiency of the cooling air on the slag. If the absolute value of the temperature gradient coefficient is too large, it means that the cooling air temperature is too low or the slag well temperature is too high, which may cause the heat exchange between the cooling air and the slag to be too intense, causing local temperature drop and causing stress damage to the equipment; if the absolute value is too small, it means that the temperature difference is insufficient, the cooling effect is weakened, and the slag cooling demand cannot be met. At this time, the opening of the air volume adjustment damper needs to be adjusted to change the flow of the cooling air, indirectly adjust the heat exchange intensity between the cooling air and the slag, and make the temperature gradient coefficient return to the normal range. This adjustment process needs to be implemented in steps according to a specific logic to ensure the accuracy and adaptability of the adjustment.

[0063] First, the difference between the measured value of the temperature gradient coefficient and the normal range threshold of the corresponding load interval is calculated, which is the core parameter for quantifying the deviation degree of the temperature gradient. Specifically, the normal threshold of the temperature gradient coefficient under the current load interval needs to be determined first. If the measured value is lower than the lower limit of the threshold (i.e. the absolute value is larger), the difference is the measured value minus the lower limit of the threshold; if the measured value is higher than the upper limit of the threshold (i.e. the absolute value is smaller), the difference is the measured value minus the upper limit of the threshold. For example, the normal range threshold of the temperature gradient coefficient under a certain load interval is -1.0 to -0.8, when the measured value is -1.2 (lower than the lower limit), the difference is -1.2-(-1.0)=-0.2, indicating a deviation of 0.2 units from the lower limit; when the measured value is -0.7 (higher than the upper limit), the difference is -0.7-(-0.8)=0.1, indicating a deviation of 0.1 units from the upper limit. The positive and negative and size of this difference directly reflects the direction and degree of the temperature gradient deviation, providing a basic quantitative basis for subsequent adjustment: a negative difference (absolute value is too large) indicates that the heat exchange intensity needs to be weakened, and a positive difference (absolute value is too small) indicates that the heat exchange intensity needs to be enhanced.

[0064] Next, the current load interval is mapped to a temperature correction coefficient weight according to a third mapping relationship. The temperature correction coefficient weight is used to represent the influence degree of temperature gradient deviation on the adjustment amplitude in different load intervals, and its value is associated with the load level. In the high load interval, the amount of slag is large and the temperature is high, and the stability of the temperature gradient is crucial to the cooling effect, so the temperature correction coefficient weight needs to be set to a higher value (such as 0.8-1.0) to ensure that the temperature deviation can be quickly corrected by a stronger adjustment effort; in the low load interval, the amount of slag is small and the heat exchange demand is relatively moderate, so the temperature correction coefficient weight can be set to a lower value (such as 0.4-0.6) to avoid affecting the system stability due to excessive adjustment. The establishment of the third mapping relationship needs to be based on a large amount of experimental data, combined with the influence sensitivity of the cooling air flow change on the temperature gradient in different loads (such as the influence of 10% change in cooling air flow on the temperature gradient in high load may be 1.5 times that in low load), and the weight value corresponding to each load interval is determined through regression analysis and stored in the parameter library of the control system, so that it can be directly called when the temperature gradient is detected to be abnormal.

[0065] Finally, the adjustment amplitude of the air volume adjustment damper is determined according to the difference value and the temperature correction coefficient weight calculated above. The calculation of the adjustment amplitude needs to combine the direction and size of the difference value, and convert it into a specific damper opening adjustment amount through a preset formula, which can be set as: adjustment amplitude = difference value x temperature correction coefficient weight x temperature adjustment reference amount, wherein the temperature adjustment reference amount is the adjustment amplitude (such as the percentage of damper opening, usually 3%-8%) corresponding to the unit temperature deviation, which is used to convert the product of the difference value and the weight into an actual executable operation amount. For example, when the difference value is -0.2 (the absolute value is too large, the heat exchange needs to be weakened), the temperature correction coefficient weight is 0.9, and the temperature adjustment reference amount is 5%, the adjustment amplitude = (-0.2) x 0.9 x 5% = -0.9%, i.e. the air volume adjustment damper is closed by 0.9%, the cooling air flow is reduced, the heat exchange efficiency is reduced, the absolute value of the temperature gradient coefficient is reduced, and the normal threshold value is approached; if the difference value is 0.1 (the absolute value is too small, the heat exchange needs to be strengthened), the weight is 0.8, and the reference amount is 5%, then the adjustment amplitude = 0.1 x 0.8 x 5% = 0.4%, i.e. the damper is opened by about 0.4%, the cooling air flow is increased, the heat exchange is strengthened, and the absolute value of the temperature gradient coefficient is increased, returning to a reasonable range.

[0066] In practical application, the adjustment amplitude needs to be limited in two ways: one is the maximum amplitude of single adjustment (such as 2%), to prevent the damper from moving too much and causing the temperature gradient to fluctuate sharply; the other is the safety range of the damper opening (such as the minimum opening is not less than 20%, to avoid excessive air volume and cause pipe dust accumulation). At the same time, the adjustment process needs to be updated dynamically in real time, the adjustment amplitude is recalculated every time the temperature gradient coefficient data is collected, until the temperature gradient coefficient returns to the normal range threshold value of the corresponding load interval, and the adjustment is stopped.

[0067] Through this adjustment logic based on the difference, temperature correction coefficient weight, the cooling air flow can be adjusted according to the temperature characteristics under different loads, which not only ensures the effective correction when the temperature gradient deviates, but also avoids the influence of over-regulation on system stability, so that the heat exchange between the cooling air and the slag is always in an efficient and safe state, further improving the operation reliability of the slag discharge system.

[0068] In another embodiment, a fuzzy control algorithm can be used. First, the real-time load of the boiler, the static pressure deviation coefficient, and the temperature gradient coefficient are divided into several fuzzy subsets (such as low, medium, and high for load, and too small, appropriate, and too large for static pressure deviation coefficient), and membership functions are set for each subset. Then, a fuzzy rule base is established based on expert experience or historical operation data, which contains air volume adjustment strategies under different parameter combinations (such as "when the load is high, the static pressure deviation coefficient is too large, and the absolute value of the temperature gradient coefficient is too small, the baffle is closed significantly"). During real-time adjustment, the three key parameters collected are input into the fuzzy controller, the membership degrees of the fuzzy subsets to which each parameter belongs are determined through the membership functions, and then the fuzzy rule base is used for reasoning to obtain the fuzzy adjustment output. Finally, the defuzzification algorithm (such as the center of gravity method) is used to convert the fuzzy output into the specific adjustment range of the air volume adjustment baffle, and then control the baffle action. This method realizes the dynamic adjustment of the baffle opening through the fuzzy association between parameters to achieve the balance of the static pressure of the slag well and the pressure of the cooling air pipe and the threshold control of the temperature gradient.

[0069] After calculating the preliminary adjustment range of the air volume adjustment baffle through the correlation between the static pressure deviation coefficient, the temperature gradient coefficient, and the load interval, in order to further adapt to the characteristic differences in different load intervals, differentiated correction strategies need to be used for high, medium, and low load intervals to optimize the adjustment effect.

[0070] When the load adaptation coefficient is in the high load interval, it means that the current combustion intensity of the boiler is high, the amount of slagging is large, and the response speed and adjustment accuracy of the cooling air system are required to be higher, so the adjustment range obtained in the previous calculation needs to be corrected according to the preset amplification coefficient to enhance the adjustment effect. The determination of the preset amplification coefficient is directly related to the adjustment sensitivity coefficient in the first mapping relationship. Since the adjustment sensitivity coefficient corresponding to the high load interval in the first mapping relationship itself has a relatively high value (for fast response to static pressure deviation), the preset amplification coefficient can be set based on the sensitivity coefficient at a fixed ratio (such as 1.2-1.5 times), for example, if the adjustment sensitivity coefficient of the high load interval is 0.9, the preset amplification coefficient can be set to 0.9x1.3=1.17. The corrected adjustment range is the original adjustment range multiplied by the amplification coefficient. In this way, under high load, the action range of the air volume regulating baffle can be larger and the response can be faster, ensuring that in the case of a sharp increase in cooling demand, the static pressure of the slag well and the pressure of the cooling air pipeline are quickly balanced, while the temperature gradient is maintained within a reasonable range, and the slag is not cooled in time or the pressure is unbalanced due to adjustment lag.

[0071] When the load adaptation coefficient is in the medium load interval, the boiler operating state is relatively stable, and the amount of slagging and cooling demand fluctuation is small. At this time, the adjustment range needs to be finely corrected according to the correction coefficient to avoid excessive adjustment and cause system parameter fluctuations. The determination of the correction coefficient is related to the difference between the load adaptation coefficient and the median value of the medium load interval, and the preset fine tuning proportion coefficient, wherein the median value of the medium load interval is the average value of the upper and lower limits of the interval (such as 0.5-0.8, the median value is 0.65). When the load adaptation coefficient is higher than the median value, it means that it is close to the high load state, and the adjustment range needs to be slightly enhanced. When it is lower than the median value, the adjustment range needs to be appropriately weakened. The determination of the preset fine tuning proportion coefficient is based on the adjustment gain coefficient in the second mapping relationship, and a certain proportion (such as 0.3-0.5 times) of the adjustment gain coefficient is taken as the fine tuning reference, for example, if the adjustment gain coefficient of the medium load interval is 0.7, the preset fine tuning proportion coefficient can be set to 0.7x0.4=0.28. The calculation formula of the correction coefficient is: correction coefficient = 1 + (load adaptation coefficient - median value of medium load interval) x preset fine tuning proportion coefficient. Through the formula, when the load adaptation coefficient is near the median value, the correction coefficient is close to 1, and the influence on the adjustment range is small. When it deviates from the median value, the correction coefficient changes linearly with the deviation degree, realizing the smooth fine tuning of the adjustment range, which ensures the accuracy of the adjustment and maintains the stability of the system.

[0072] When the load adaptation coefficient is in the low load interval, the boiler combustion intensity is low, the amount of slagging is small, and the adjustment requirement of the cooling air system is weak. Excessive adjustment can lead to increased energy consumption or system fluctuations, so the adjustment range needs to be corrected according to the preset reduction factor to weaken the adjustment effect. The determination of the preset reduction factor is related to the temperature correction coefficient weight in the third mapping relationship. Since the temperature correction coefficient weight in the low load interval in the third mapping relationship is low in value (reflecting weak influence of temperature gradient on adjustment), the preset reduction factor can be set based on the weight at a fixed proportion (such as 0.5-0.7 times), for example, if the temperature correction coefficient weight in the low load interval is 0.5, the preset reduction factor can be set to 0.5x0.6=0.3. The adjusted adjustment range is the original adjustment range multiplied by the reduction factor. In this way, the action range of the air volume adjustment damper is reduced at low load to avoid sharp fluctuations in cooling air pressure or temperature caused by excessive adjustment range, while reducing unnecessary energy consumption, keeping the system stable at low load, and balancing cooling effect and economy.

[0073] The above adjustment range correction logic for different load intervals essentially adapts the correction coefficient to the characteristics of the system at different loads by associating with the core parameters (adjustment sensitivity coefficient, adjustment gain coefficient, temperature correction coefficient weight) in each mapping relationship, achieving a differentiated control strategy of enhancing adjustment at high load, fine-tuning at medium load, and weakening adjustment at low load. This hierarchical correction method can further improve the pertinence and accuracy of air volume adjustment, ensuring that the adjustment range is highly matched with the actual demand in any load interval, and ultimately achieving dynamic balance of the slag well static pressure and the cooling air pipe pressure, and stable control of the temperature gradient.

[0074] After completing the preliminary correction of the adjustment range based on the load interval, the influence of the possible pipe dust accumulation problem in the long-term operation of the cooling air system on the adjustment effect needs to be considered. During the operation of the cooling air system, the inner wall of the cooling air pipe may gradually accumulate dust due to long-term airflow carrying dust, resulting in a decrease in the pipe flow area and an increase in resistance, thereby affecting the delivery efficiency of the cooling air and the accuracy of system adjustment. To address this problem, the inlet and outlet differential pressures of the cooling air pipe need to be monitored in real time by a differential pressure transmitter to evaluate the degree of pipe dust accumulation. Specifically, the two detection ends of the differential pressure transmitter are installed at the inlet and outlet of the cooling air pipe respectively to ensure that the measured pressure loss is the whole section of the pipe. The differential pressure signal detected by the differential pressure transmitter is transmitted to the control unit after processing, serving as basic data for evaluating the dust accumulation state.

[0075] According to the monitored import and export differential pressure and the standard differential pressure of the pipeline in the cleaning state, the ash deposition coefficient S of the cooling air pipeline can be calculated, and the calculation formula is: ash deposition coefficient S = measured import and export differential pressure / standard differential pressure in the cleaning state. When the pipeline has no ash deposition or is in the cleaning state, the measured differential pressure is equal to the standard differential pressure, and at this time, the ash deposition coefficient S = 1; with the increase of ash deposition, the measured differential pressure increases, and the S value is greater than 1, and the greater the S value, the more serious the ash deposition, and the greater the pipeline resistance. This coefficient directly reflects the change of the flow capacity of the pipeline, and provides a key basis for the correction of the subsequent adjustment range.

[0076] When the load adaptation coefficient is in the high load interval, since the cooling air demand is large at this time, the increase of resistance caused by pipeline ash deposition has more significant influence on the system, and the preset amplification coefficient needs to be adjusted to compensate for the adjustment deviation caused by ash deposition. The adjusted preset amplification coefficient is calculated according to the formula "adjusted preset amplification coefficient = preset amplification coefficient before adjustment × (1+0.2×(S-1))", wherein 0.2 is the ash deposition influence weight coefficient of the high load interval. For example, if the preset amplification coefficient before adjustment is 1.17, the ash deposition coefficient S = 1.5 (i.e. the differential pressure increases by 50% due to ash deposition), and the adjusted amplification coefficient = 1.17×(1+0.2×0.5) = 1.17×1.1 = 1.287. This means that the more serious the ash deposition (the greater the S), the greater the increase of the amplification coefficient, and through the strengthening of the adjustment range, the decrease of the cooling air flow caused by the increase of the pipeline resistance is offset, and the supply strength of the cooling air under high load is ensured to meet the demand.

[0077] When the load adaptation coefficient is in the medium load interval, the system has higher requirements for the adjustment accuracy, and the resistance change caused by ash deposition needs to be balanced by fine adjustment of the correction coefficient. The adjusted correction coefficient is calculated according to the formula "adjusted correction coefficient = correction coefficient before adjustment × (1+0.1×(S-1))", and 0.1 is the ash deposition influence weight coefficient of the medium load interval, which is smaller than that of the high load interval, which reflects the consideration of adjustment stability under medium load. For example, the correction coefficient before adjustment is 1.05, and S = 1.3, then the adjusted correction coefficient = 1.05×(1+0.1×0.3) = 1.05×1.03 = 1.0815. Through this fine adjustment, the insufficient adjustment caused by ash deposition is compensated, and the system fluctuation caused by excessive correction is avoided, so that the adjustment under medium load is more adapted to the actual flow state.

[0078] When the load adaptation coefficient is in the low load interval, the cooling air demand is small, and the increase in resistance caused by dust accumulation has a relatively mild impact on the system, but it is still necessary to adjust the preset reduction coefficient to avoid excessive adjustment. The adjusted preset reduction coefficient is calculated according to the formula "adjusted preset reduction coefficient = preset reduction coefficient before adjustment × (1-0.1×(S-1))", where the negative sign indicates that the reduction coefficient needs to be reduced in magnitude when dust accumulates, i.e., the reduction degree of the adjustment range is weakened. For example, if the preset reduction coefficient before adjustment is 0.6 and S = 1.2, then the adjusted reduction coefficient = 0.6 × (1-0.1×0.2) = 0.6 × 0.98 = 0.588. This adjustment ensures that in the case of low load dust accumulation, the adjustment range of the cooling air adjustment baffle will not be excessively reduced and will not be unable to meet the basic cooling demand, ensuring that the system can still maintain reasonable adjustment intensity in the dust accumulation state.

[0079] By dynamically adjusting the adjustment correction parameters for different load intervals by combining the dust accumulation coefficient S, the action range of the air volume adjustment baffle can be automatically adapted to the actual flow state of the pipeline, effectively offsetting the negative impact of dust accumulation, and ensuring that when the degree of pipeline dust accumulation changes, the cooling air system can still accurately balance the static pressure of the slag well and the pressure of the cooling air pipeline, while maintaining the temperature gradient within the normal threshold range, further improving the stability and reliability of the system operation.

[0080] After considering the impact of load interval correction and pipeline dust accumulation compensation on the adjustment range, the system also needs to deal with sudden abnormal situations that may occur during boiler operation. These abnormal states often disrupt the normal parameter balance, and if they are still operated according to the conventional adjustment logic, they may exacerbate system fluctuations and even cause safety hazards. Therefore, special adjustment strategies need to be developed for abnormal signals.

[0081] Specifically, when an abnormal signal of the boiler is monitored (such as a dramatic fluctuation of the furnace pressure, unstable combustion, failure of the slagging equipment, etc.), in order to avoid a sharp change of the system parameters in the abnormal state causing greater risks, special processing is required for the air volume regulation logic. First, the load adaptation coefficient is forcibly locked as a preset multiple of the current value. The preset multiple needs to be determined according to the type and severity of the abnormal signal, and is usually selected as 1.0-1.1 times. For example, if the current load adaptation coefficient is 0.9 and the preset multiple is 1.05, the locked load adaptation coefficient is 0.9 x 1.05 = 0.945. The purpose is to maintain the current load level basically stable and reserve a certain regulation margin for the cooling air system to avoid the regulation strategy being disordered due to a sharp change of the load adaptation coefficient. At the same time, the normal range threshold of the static pressure deviation coefficient is widened to both sides to a preset proportion, which is usually 1.2-1.5 times of the original threshold range. For example, the normal range of the static pressure deviation coefficient in the high load interval is 2.0-2.5, and after widening, it becomes 1.8-2.8. By expanding the threshold range, the regulation frequency in the abnormal state is reduced to prevent the system from frequently acting due to small fluctuations of the parameters and reduce the interference to the stable operation of the boiler.

[0082] The compensation coefficient is determined based on the duration of the abnormal signal, which is to dynamically adjust the regulation strength according to the duration of the abnormal state. The initial value of the compensation coefficient is set to 1.0, and as the duration of the abnormal signal increases, the compensation coefficient gradually changes according to a preset rule: if the duration is within 0-5 minutes, the compensation coefficient remains 1.0 to maintain the basic regulation strength; if the duration is within 5-10 minutes, the compensation coefficient linearly increases to 1.2 to enhance the regulation amplitude to cope with the continuous abnormality; if the duration exceeds 10 minutes, the compensation coefficient stabilizes at 1.2-1.5 (according to the severity of the abnormality) to ensure sufficient regulation strength to cope with long-term abnormality. The core of this setting is to dynamically adapt the regulation strategy to the duration of the abnormality, avoiding excessive regulation at the initial stage to aggravate fluctuations, while ensuring the effectiveness of the regulation in the long-term abnormality.

[0083] When the air volume regulation is performed, the regulation amplitude calculated by the current logic is taken as the reference, and the compensation coefficient determined above is used to modify it. The modified regulation amplitude = reference regulation amplitude x compensation coefficient. For example, if the reference regulation amplitude is 2% and the compensation coefficient is 1.2, the modified regulation amplitude is 2.4%, which appropriately amplifies the regulation amplitude to accelerate the stabilization speed of the system parameters; if the reference regulation amplitude is -1.5% (close small baffle), and the compensation coefficient is 1.1, the modified regulation amplitude is -1.65%, which enhances the closing small degree to quickly balance the pressure. The modified regulation amplitude needs to be subject to safety limits, such as a single maximum regulation amplitude not exceeding 5% to prevent excessive action causing secondary problems.

[0084] Through the above processing, in the abnormal state of the boiler, both the basic stability of the system can be maintained by locking the load adaptation coefficient and widening the static pressure deviation threshold, and the compensation coefficient can be dynamically adjusted according to the duration of the abnormality, ensuring that the adjustment range adapts to the abnormality degree, so as to maintain the relative balance between the static pressure of the slag well and the pressure of the cooling air pipe as much as possible under the premise of ensuring the safe operation of the boiler, avoid the temperature gradient exceeding the safe range, and strive for time for the recovery or troubleshooting of the abnormal state.

[0085] In addition to the special processing of abnormal signals, changes in the internal state of the furnace during boiler operation also have a significant impact on the cooling air system, among which the change of the flame center position is particularly critical. As the core area of heat concentration in the furnace, the change of the flame center position will have a chain effect on the characteristics of the slag and the cooling demand, so a special monitoring and response mechanism is needed. Specifically, during the operation of the boiler, the change of the flame center position in the furnace directly affects the temperature distribution, heat exchange efficiency and generation characteristics of the slag in the furnace. If the flame center is abnormally lifted, it may cause the outlet flue gas temperature of the furnace to rise, the superheater to overheat, and the residence time of the slag in the high-temperature area to be prolonged, increasing the load of the cooling system. Therefore, a special monitoring device (such as an infrared temperature measuring instrument, a flame image recognition system, etc.) is needed to monitor the flame center position in the furnace in real time and calculate its lifting rate (the change amount of the flame center height per unit time).

[0086] When the flame center lifting rate exceeds the preset rate threshold, it indicates that the flame center is moving upward at an abnormal speed, and measures need to be taken in time to suppress its lifting trend and adapt to the change in the slag cooling demand caused thereby. First, based on the current load adaptation coefficient, the difference between the flame center lifting rate exceeding the preset rate threshold (i.e. the actual lifting rate minus the preset rate threshold) and the current total amount of cooling air, the reduction range of the total amount of cooling air is determined.

[0087] Specifically, the load adaptation coefficient reflects the current load level of the boiler, and the influence of the flame center lifting is more significant under high load, so the adjustment range of the total amount of cooling air needs to be larger; the larger the difference between the lifting rate exceeding the threshold, the higher the abnormality degree of the flame center lifting, and the reduction range of the total amount of cooling air needs to be increased accordingly; and the current total amount of cooling air provides a basic reference for the adjustment, ensuring that the total amount of cooling air after reduction can still meet the basic cooling demand. For example, when the load adaptation coefficient is 0.9, the lifting rate difference is 0.2 m / min, and the current total amount of cooling air is 1000 m 3 / h, the reduction range can be calculated by a preset formula (such as reduction range = load adaptation coefficient x difference x 0.1 x current total amount of cooling air) to obtain 0.9 x 0.2 x 0.1 x 1000 = 18 m 3 / h, that is, the total amount of cooling air needs to be reduced from 1000 m 3 / h to 982 m 3By reducing the total cooling air volume, the cooling intensity of the lower part of the hearth is indirectly reduced, which helps to alleviate the trend of the flame center lifting.

[0088] After determining the reduction range of the total cooling air volume and completing the adjustment, the running speed of the steel belt of the dry slag extractor needs to be adapted synchronously to ensure the matching of the slag conveying and the cooling effect. Based on the adjusted total cooling air volume (i.e. the reduced total cooling air volume), the current slag discharge amount (the mass of the slag discharged per unit time) and the current running speed of the steel belt of the dry slag extractor, the reduction range of the running speed of the steel belt of the dry slag extractor is determined. The adjusted total cooling air volume determines the cooling capacity that the slag can obtain during the conveying process. If the total cooling air volume is reduced, the running speed of the steel belt needs to be reduced to prolong the residence time of the slag in the cooling area, so as to ensure the cooling effect. The current slag discharge amount reflects the amount of the slag that needs to be conveyed per unit time. The greater the discharge amount, the reduction range of the speed of the steel belt needs to be controlled moderately to avoid the accumulation of the slag. The current running speed of the steel belt provides a reference for the adjustment to ensure that the reduced speed is within the safe running range of the equipment. For example, when the adjusted total cooling air volume is 982 m 3 / h (originally 1000 m 3 / h), the current slag discharge amount is 5 t / h and the current speed of the steel belt is 1.2 m / s, the reduction range of the speed of the steel belt can be calculated through a correlation formula (such as the reduction range of the speed = (the original total cooling air volume - the adjusted total cooling air volume) / the original total cooling air volume x the current speed of the steel belt x the slag discharge coefficient), wherein the slag discharge coefficient is set according to the discharge amount (such as the coefficient 0.8 corresponding to 5 t / h), so the reduction range of the speed = (1000-982) / 1000 x 1.2 x 0.8 = 0.017 m / s, that is, the speed of the steel belt needs to be reduced from 1.2 m / s to 1.183 m / s to adapt to the reduction of the total cooling air volume and ensure that the slag is sufficiently cooled during the conveying process.

[0089] Through the above-mentioned coordinated adjustment of the total cooling air volume and the speed of the steel belt of the dry slag extractor based on the lifting rate of the flame center, when the flame center abnormally lifts, the flame center can be inhibited from further lifting by reducing the total cooling air volume, and the cooling effect of the slag can be ensured by reducing the running speed of the steel belt, so as to maintain the safety and stability of the boiler operation.

[0090] It can be understood that, in order to realize the functions in the above-mentioned embodiments, the computer device includes the corresponding hardware structure and / or software modules for executing various functions. Those skilled in the art should easily realize that, in combination with the units and method steps of the examples described in the embodiments disclosed in the present application, the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is executed by hardware or computer software driven hardware depends on the specific application scenario and design constraints of the technical solution.

[0091] Further, as to the above-mentioned Figure 1The implementation of the method embodiment shown in this application provides a regulating device for a cooling air system. The embodiment of this device corresponds to the foregoing method embodiments. For ease of reading, this embodiment will not repeat the details of the foregoing method embodiments one by one, but it should be clear that the device in this embodiment can correspondingly implement all the contents of the foregoing method embodiments. Specifically, as shown... Figure 4 As shown, the regulating device 400 of the cooling air system includes:

[0092] The acquisition module 410 is used to acquire the static pressure and temperature of the slag well, the pressure and temperature of the cooling air duct, and the real-time load of the boiler.

[0093] Parameter module 420 calculates derived parameters in Chinese. The derived parameters include static pressure deviation coefficient, temperature gradient coefficient, and load adaptation coefficient. Among them, the static pressure deviation coefficient is the ratio of cooling air duct pressure to slag well static pressure, the temperature gradient coefficient is the ratio of the difference between cooling air duct temperature and slag well temperature to slag well temperature, and the load adaptation coefficient is the ratio of boiler real-time load to rated load.

[0094] The determination module 430 is used to determine the adjustment reference based on the load range where the load adaptation coefficient is located. The adjustment reference is used to indicate the normal range threshold of the static pressure deviation coefficient and the temperature gradient coefficient under different load ranges.

[0095] The adjustment module 440 is used to calculate the adjustment range of the air volume adjustment damper based on the adjustment benchmark, using the boiler real-time load, static pressure deviation coefficient, and temperature gradient coefficient as key parameters, and adjust the air volume adjustment damper according to the adjustment range to balance the static pressure of the slag well and the pressure of the cooling air pipeline, while ensuring that the temperature gradient between the cooling air and the slag well is within the threshold range.

[0096] Furthermore, such as Figure 4 As shown, the adjustment module 440 is specifically used to: map the current load range of the boiler to an adjustment sensitivity coefficient according to a first mapping relationship when the static pressure deviation coefficient is greater than the upper limit of the normal range threshold of the corresponding load range; calculate the proportional factor for the static pressure deviation coefficient exceeding the upper limit of the threshold of the corresponding load range; determine the adjustment range of the air volume adjustment damper based on the proportional factor and the adjustment sensitivity coefficient; and when the static pressure deviation coefficient is less than the lower limit of the normal range threshold of the corresponding load range, map the current load range of the boiler to an adjustment gain coefficient according to a second mapping relationship; calculate the proportional factor for the static pressure deviation coefficient being lower than the lower limit of the threshold of the corresponding load range; and determine the adjustment range of the air volume adjustment damper based on the proportional factor and the adjustment gain coefficient.

[0097] Furthermore, such as Figure 4As shown, the adjusting module 440 is specifically configured to calculate a difference between the measured value of the temperature gradient coefficient and the corresponding threshold value when the cooling air duct temperature is lower than the slag well temperature and the temperature gradient coefficient exceeds the normal range threshold of the corresponding load interval; map the current load interval to a temperature correction coefficient weight according to a third mapping relationship; and determine the adjustment range of the air volume adjusting baffle according to the difference and the temperature correction coefficient weight.

[0098] Further, as shown in Figure 4 the adjusting module 440 is further configured to correct the adjustment range according to a preset amplification coefficient when the load adaptation coefficient is in the high load interval, the preset amplification coefficient being determined according to the adjustment sensitivity coefficient in the first mapping relationship; correct the adjustment range according to a correction coefficient when the load adaptation coefficient is in the medium load interval, the correction coefficient being determined according to a difference between the load adaptation coefficient and a median value of the medium load interval and a preset fine-tuning proportion coefficient, the preset fine-tuning proportion coefficient being determined according to the adjustment gain coefficient of the second mapping relationship; and correct the adjustment range according to a preset reduction coefficient when the load adaptation coefficient is in the low load interval, the preset reduction coefficient being determined according to the temperature correction coefficient weight of the third mapping relationship.

[0099] Further, as shown in Figure 4 the adjusting module 440 is further configured to monitor the inlet and outlet differential pressure of the cooling air duct through the differential pressure transmitter; determine the ash deposition coefficient S of the cooling air duct according to the inlet and outlet differential pressure and the standard differential pressure under the cleaning state; adjust the preset amplification coefficient to be: adjusted preset amplification coefficient = unadjusted preset amplification coefficient x (1+0.2x (S-1)) when the load adaptation coefficient is in the high load interval; adjust the correction coefficient to be: adjusted correction coefficient = unadjusted correction coefficient x (1+0.1x (S-1)) when the load adaptation coefficient is in the medium load interval; and adjust the preset reduction coefficient to be: adjusted preset reduction coefficient = unadjusted preset reduction coefficient x (1-0.1x (S-1)) when the load adaptation coefficient is in the low load interval.

[0100] Further, as shown in Figure 4 the adjusting module 440 is further configured to forcibly lock the load adaptation coefficient to be a preset multiple of the current value and widen the normal range threshold of the static pressure deviation coefficient to a preset proportion on both sides when an abnormal signal of the boiler is monitored; determine a compensation coefficient based on the duration of the abnormal signal; and execute the air volume adjustment after correcting the adjustment range in combination with the compensation coefficient.

[0101] Further, as shown in Figure 4As shown, the adjusting module 440 is further configured to monitor the center position of the hearth flame; if the center position of the hearth flame is lifted at a rate exceeding a preset rate threshold, determine a reduction range of the total cooling air volume based on the load adaptation coefficient, a difference between the rate at which the center position of the hearth flame is lifted and the preset rate threshold, and the current total cooling air volume; and determine a reduction range of the running speed of the steel belt of the dry slag discharging machine based on the adjusted total cooling air volume, the current slag discharge amount, and the current running speed of the steel belt of the dry slag discharging machine.

[0102] The embodiment of the present application provides a storage medium, which has a program stored thereon, and the program is executed by a processor to realize the adjusting method of the cooling air system.

[0103] The present application is described with reference to flowcharts and / or block diagrams of the method, device (system), and computer program product according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of the flows and / or blocks in the flowcharts and / or block diagrams can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate a means for implementing the functions specified in the flowcharts and / or block diagrams. Figure 1 The functions specified in one flow or multiple flows and / or blocks Figure 1 The functions specified in one flow or multiple flows and / or blocks

[0104] The above merely illustrates the embodiments of the present application, and is not intended to limit the present application. The present application can have various modifications and changes for those skilled in the art. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A method of regulating a cooling air system, characterized in that The cooling air system comprises: an annular air chamber arranged between the slag discharge port of the slag well and the feed inlet of the dry slag discharging machine, the annular air chamber being arranged circumferentially around the slag discharge port of the slag well, at least two groups of cooling air pipes extending radially from the annular air chamber, each group of the cooling air pipes being symmetrically distributed on both sides of the axis of the slag discharge port of the slag well, and the air outlets of the cooling air pipes being directed towards the slag layer at the bottom of the slag well, the cooling air pipes being provided with air volume adjusting baffles, pressure measuring points and temperature measuring points, and the bottom of the slag well being provided with static pressure measuring points and temperature measuring points; The method comprises: obtaining the static pressure and temperature of the slag well, the pressure and temperature of the cooling air pipe and the real-time load of the boiler; calculating derived parameters, the derived parameters comprising a static pressure deviation coefficient, a temperature gradient coefficient and a load adaptation coefficient, wherein the static pressure deviation coefficient is the ratio of the pressure of the cooling air pipe to the static pressure of the slag well, the temperature gradient coefficient is the ratio of the difference between the temperature of the cooling air pipe and the temperature of the slag well to the temperature of the slag well, and the load adaptation coefficient is the ratio of the real-time load of the boiler to the rated load; determining an adjustment reference according to the load interval in which the load adaptation coefficient is located, the adjustment reference being used to indicate the normal range threshold of the static pressure deviation coefficient and the temperature gradient coefficient under different load intervals; based on the adjustment reference, taking the real-time load of the boiler, the static pressure deviation coefficient and the temperature gradient coefficient as key parameters, calculating the adjustment range of the air volume adjusting baffle through the correlation of the three, and adjusting the air volume adjusting baffle according to the adjustment range to balance the static pressure of the slag well and the pressure of the cooling air pipe, while ensuring that the gradient of the cooling air temperature and the temperature of the slag well is within the threshold range.

2. The method of claim 1, wherein, based on the adjustment reference, taking the real-time load of the boiler, the static pressure deviation coefficient and the temperature gradient coefficient as key parameters, calculating the adjustment range of the air volume adjusting baffle through the correlation of the three, including: when the static pressure deviation coefficient is greater than the upper limit of the normal range threshold corresponding to the load interval, mapping the current load interval of the boiler into an adjustment sensitivity coefficient according to a first mapping relationship; calculating a proportion factor by which the static pressure deviation coefficient exceeds the upper limit of the threshold corresponding to the load interval; determining the adjustment range of the air volume adjusting baffle based on the proportion factor and the adjustment sensitivity coefficient; when the static pressure deviation coefficient is less than the lower limit of the normal range threshold corresponding to the load interval, mapping the current load interval of the boiler into an adjustment gain coefficient according to a second mapping relationship; calculating a proportion factor by which the static pressure deviation coefficient is lower than the lower limit of the threshold corresponding to the load interval; determining the adjustment range of the air volume adjusting baffle based on the proportion factor and the adjustment gain coefficient.

3. The method of claim 1, wherein, based on the adjustment reference, taking the real-time load of the boiler, the static pressure deviation coefficient and the temperature gradient coefficient as key parameters, calculating the adjustment range of the air volume adjusting baffle through the correlation of the three, further comprising: when the temperature of the cooling air pipe is lower than the temperature of the slag well and the temperature gradient coefficient exceeds the normal range threshold corresponding to the load interval, calculating the difference between the measured value of the temperature gradient coefficient and the corresponding threshold; mapping the current load interval into a temperature correction coefficient weight according to a third mapping relationship; Determine the adjustment range of the air volume adjustment damper according to the difference and the temperature correction coefficient weight.

4. The method according to claim 2 or 3, characterized in that, Based on the adjustment reference, take the real-time load of the boiler, the static pressure deviation coefficient, and the temperature gradient coefficient as key parameters, and calculate the adjustment range of the air volume adjustment damper through the correlation of the three, and the method further comprises: When the load adaptation coefficient is in the high load interval, correct the adjustment range according to the preset amplification coefficient, and the preset amplification coefficient is determined with the adjustment sensitivity coefficient in the first mapping relationship; When the load adaptation coefficient is in the medium load interval, correct the adjustment range according to the correction coefficient, and the correction coefficient is determined according to the difference between the load adaptation coefficient and the medium load interval median value and the preset fine tuning proportional coefficient, and the preset fine tuning proportional coefficient is determined according to the adjustment gain coefficient of the second mapping relationship; When the load adaptation coefficient is in the low load interval, correct the adjustment range according to the preset reduction coefficient, and the preset reduction coefficient is determined with the temperature correction coefficient weight of the third mapping relationship.

5. The method of claim 4, wherein, The differential pressure transmitter is arranged at the access hole of the lowest end of the cooling air pipe, and the method further comprises: Monitor the inlet and outlet differential pressure of the cooling air pipe through the differential pressure transmitter; Determine the ash deposition coefficient S of the cooling air pipe according to the inlet and outlet differential pressure and the standard differential pressure under the cleaning state; When the load adaptation coefficient is in the high load interval, adjust the preset amplification coefficient as follows: adjusted preset amplification coefficient = preset amplification coefficient × (1+0.2×(S-1)); When the load adaptation coefficient is in the medium load interval, adjust the correction coefficient as follows: adjusted correction coefficient = correction coefficient × (1+0.1×(S-1)); When the load adaptation coefficient is in the low load interval, adjust the preset reduction coefficient as follows: adjusted preset reduction coefficient = preset reduction coefficient × (1-0.1×(S-1)).

6. The method of claim 1, wherein, The method further comprises: When the abnormal signal of the boiler is monitored, forcibly lock the load adaptation coefficient to a preset multiple of the current value, and widen the normal range threshold of the static pressure deviation coefficient to both sides to a preset proportion; Determine the compensation coefficient based on the duration of the abnormal signal; Take the adjustment range as the reference, combine the compensation coefficient to correct it, and then execute the air volume adjustment.

7. The method of claim 1, wherein, The method further comprises: Monitor the center position of the furnace flame; If the flame center lifting rate exceeds the preset rate threshold, determine the reduction range of the total amount of cooling air based on the load adaptation coefficient, the difference between the flame center lifting rate and the preset rate threshold, and the current total amount of cooling air; Determine the reduction range of the running speed of the dry slag discharging machine steel belt based on the adjusted total amount of cooling air, the current slag discharge amount, and the current running speed of the dry slag discharging machine steel belt.

8. A regulating device for a cooling air system, characterized in that The cooling air system comprises: an annular air chamber arranged between the slag discharge port of the slag well and the feed port of the dry slag discharge machine, the annular air chamber being arranged circumferentially around the slag discharge port of the slag well, at least two groups of cooling air pipes extending radially from the annular air chamber, each group of the cooling air pipes being symmetrically distributed on both sides of the axis of the slag discharge port of the slag well, and the air outlets of the cooling air pipes being directed towards the slag layer at the bottom of the slag well, the cooling air pipes being provided with air volume adjusting baffles, pressure measuring points and temperature measuring points, and the bottom of the slag well being provided with static pressure measuring points and temperature measuring points; The device comprises: an acquisition module configured to acquire the static pressure and temperature of the slag well, the pressure and temperature of the cooling air pipes, and the real-time load of the boiler; a parameter module configured to calculate derivative parameters in Chinese, the derivative parameters comprising a static pressure deviation coefficient, a temperature gradient coefficient, and a load adaptation coefficient, wherein the static pressure deviation coefficient is the ratio of the pressure of the cooling air pipes to the static pressure of the slag well, the temperature gradient coefficient is the ratio of the difference between the temperature of the cooling air pipes and the temperature of the slag well to the temperature of the slag well, and the load adaptation coefficient is the ratio of the real-time load of the boiler to the rated load; a determination module configured to determine an adjustment reference according to the load interval in which the load adaptation coefficient is located, the adjustment reference being used to indicate the normal range threshold of the static pressure deviation coefficient and the temperature gradient coefficient under different load intervals; an adjustment module configured to, based on the adjustment reference, calculate the adjustment range of the air volume adjusting baffles by using the real-time load of the boiler, the static pressure deviation coefficient, and the temperature gradient coefficient as key parameters and by using the correlation among the three parameters, and adjust the air volume adjusting baffles according to the adjustment range, so as to balance the static pressure of the slag well and the pressure of the cooling air pipes and ensure that the gradient between the cooling air temperature and the temperature of the slag well is within the threshold range.

9. A storage medium, characterized by The storage medium comprises a stored program, wherein the program controls the device in which the storage medium is located to perform the adjustment method of the cooling air system according to any one of claims 1-7 when the program is running.

10. An electronic device, comprising: The device comprises at least one processor and at least one memory connected to the processor, and the processor and the memory complete communication with each other through a bus; the processor is configured to invoke program instructions in the memory to execute the adjustment method of the cooling air system according to any one of claims 1-7.

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