Delay factor analysis method and device for direct-fired pulverizing system

Abstract

The invention provides a delay factor analysis method and device for a direct-fired coal pulverizing system, and aims to accurately quantify the independent influence degree of each to-be-analyzed factor such as the primary air volume and the coal feeding amount of a coal feeder on response delay of the direct-fired coal pulverizing system and provide reliable data support for formulating a targeted and accurate delay compensation strategy. The delay factor analysis method of the direct-fired pulverizing system comprises the following steps: calculating the amount of pulverized coal passing through a pulverized coal pipe in unit time of a single coal mill; after it is determined that the pulverized coal amount is in steady-state operation within the first preset time, a control variable method is adopted to apply step disturbance to any to-be-analyzed factor, and change data of the pulverized coal amount along with time is monitored in real time; in the change data, when the pulverized coal amount reaches the first pulverized coal amount for the first time and is maintained for second preset time, delay time caused by changes of the to-be-analyzed factors is determined, and the influence degree of the to-be-analyzed factors on response delay of the direct-fired pulverizing system is analyzed on the basis of the delay time.

Description

Technical Field

[0001] This application relates to the field of power system technology, and in particular to a method and apparatus for analyzing the delay factor of a direct-fired pulverizing system. Background Technology

[0002] In coal-fired power units, the direct-fired pulverizing system of the medium-speed coal mill is a critical auxiliary system, responsible for grinding raw coal into qualified pulverized coal and directly feeding it to the boiler burner. When the unit load changes, the main control system issues a command requiring the direct-fired pulverizing system of the medium-speed coal mill to adjust the coal feed rate accordingly, thereby changing the amount of fuel entering the furnace and achieving a rapid and precise power response. However, there is a significant delay between the issuance of the coal feed rate adjustment command and the actual change in pulverized coal concentration at the boiler burner inlet. This delay severely affects the unit's peak-shaving rate.

[0003] Currently, the common approach to addressing this delay phenomenon is to analyze the pulverizing system as a single entity, estimating the overall delay time by analyzing the response between system inputs (such as coal feeding commands) and final outputs (such as furnace heat load). However, the response delay in a direct-fired pulverizing system is not caused by a single factor, but rather is the combined result of multiple factors, including primary air volume, coal feed rate, dynamic separator frequency, and mill loading force, all working together and coupling with each other. This method of determining the delay time cannot identify the impact of any single factor on the delay time. Therefore, when formulating compensation strategies, only general compensation based on the overall delay time can be applied, making it difficult to achieve precise delay compensation control.

[0004] Therefore, a new method is urgently needed to determine the method for analyzing delay factors in direct-fired pulverizing systems, so as to provide data support for the formulation of precise delay compensation strategies. Summary of the Invention

[0005] This application provides a method and apparatus for analyzing delay factors in a direct-fired pulverizing system. The purpose is to accurately quantify the degree of independent influence of various factors to be analyzed, such as primary air volume and coal feeder rate, on the response delay of the direct-fired pulverizing system, and to provide reliable data support for formulating targeted and precise delay compensation strategies.

[0006] To address the aforementioned technical problems, this application provides the following technical solutions:

[0007] The first aspect of this application provides a method for analyzing the delay factors of a direct-blown pulverizing system, including:

[0008] Obtain the number of powder pipes, cross-sectional area of ​​powder pipes, outlet pressure of powder pipes, outlet air velocity of powder pipes, outlet temperature of powder pipes, and the temperature, density and pressure of ideal gas under standard conditions for a single coal mill.

[0009] Based on the number of powder tubes, cross-sectional area of ​​powder tubes, outlet pressure of powder tubes, outlet wind speed of powder tubes, outlet temperature of powder tubes, and the temperature, density and pressure of ideal gas under standard conditions, the amount of coal powder passing through the powder tubes of a single coal mill per unit time is obtained.

[0010] After determining that the amount of pulverized coal is in steady state for a first preset time, the control variable method is used to apply a step disturbance to any factor to be analyzed, and the change data of the amount of pulverized coal over time is monitored in real time. The factor to be analyzed is one of the following: primary air volume, coal feeder feed rate, dynamic separator frequency, and coal mill loading force.

[0011] In the changing data, when the amount of pulverized coal first reaches the first amount of pulverized coal and is maintained for a second preset time, the delay time caused by the change of the factor to be analyzed is determined, and the degree of influence of the factor to be analyzed on the response delay of the direct-fired pulverizing system is analyzed based on the delay time.

[0012] A second aspect of this application provides a device for analyzing the delay factor of a direct-blown pulverizing system, comprising:

[0013] The acquisition unit is used to acquire the number of powder pipes, cross-sectional area of ​​powder pipes, outlet pressure of powder pipes, outlet wind speed of powder pipes, outlet temperature of powder pipes, and temperature, density and pressure of ideal gas under standard conditions for a single coal mill.

[0014] The calculation unit is used to obtain the amount of coal powder passing through the coal powder pipe of a single coal mill per unit time based on the number of coal powder pipes, cross-sectional area of ​​the coal powder pipes, outlet pressure of the coal powder pipes, outlet wind speed of the coal powder pipes, outlet temperature of the coal powder pipes, and the temperature, density and pressure of the ideal gas under standard conditions in the acquisition unit.

[0015] The monitoring unit is used to apply a step disturbance to any factor to be analyzed using the control variable method after determining that the amount of pulverized coal in the calculation unit is in a steady state for a first preset time, and to monitor the change data of the amount of pulverized coal over time in real time. The factor to be analyzed is one of the following: primary air volume, coal feeder feed rate, dynamic separator frequency, and coal mill loading force.

[0016] The monitoring unit is used to determine the delay time caused by the change of the factor to be analyzed when the amount of pulverized coal first reaches the first amount of pulverized coal and is maintained for the second preset time in the changing data, and to analyze the degree of influence of the factor to be analyzed on the response delay of the direct-fired pulverizing system based on the delay time.

[0017] A third aspect of this application provides a storage medium comprising a stored program that, when the program is executed, controls the device containing the storage medium to perform the aforementioned delay factor analysis method for a direct-blown pulverizing system.

[0018] A fourth aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, it implements the delay factor analysis method for a direct-blown pulverizing system as described above.

[0019] Compared to existing technologies, the method for determining the response delay factors in a direct-fired pulverizing system provided in the first aspect of this application calculates the amount of pulverized coal per unit time. After confirming the steady-state operation of the pulverized coal amount, a step disturbance is applied to a single factor to be analyzed using the controlled variable method. The delay time corresponding to the factor to be analyzed is obtained by combining the judgment criterion of "the amount of pulverized coal first reaching the first amount and maintaining it for a second preset time," ultimately determining the degree of influence of the factor to be analyzed on the response delay. This method, through a complete closed-loop process of "parameter acquisition - pulverized coal amount quantification - steady-state judgment - single-factor disturbance - delay monitoring - influence degree determination," overcomes the limitation of existing technologies that can only perform qualitative analysis of response delay influencing factors. It achieves accurate determination of the influence degree of each influencing factor (primary air volume, coal feeder feed rate, etc.) on the response delay, providing data support for the precise formulation of delay compensation strategies for pulverizing systems. Attached Figure Description

[0020] The above and other objects, features, and advantages of exemplary embodiments of this application will become readily understood by reading the following detailed description with reference to the accompanying drawings. In the drawings, several embodiments of this application are illustrated by way of example and not limitation, with the same or corresponding reference numerals denoteing the same or corresponding parts, wherein:

[0021] Figure 1 A schematic diagram illustrates a method for analyzing the response delay factors of a direct-blown pulverizing system;

[0022] Figure 2 This schematically illustrates another method for analyzing the response delay factor in a direct-blown pulverizing system;

[0023] Figure 3 A schematic diagram of a response delay factor analysis device for a direct-blown pulverizing system is shown.

[0024] Figure 4 A schematic diagram of another device for analyzing the response delay factor in a direct-blown pulverizing system is shown. Detailed Implementation

[0025] Exemplary embodiments of this application will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of this application are shown in the drawings, it should be understood that this application may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of this application and to fully convey the scope of this application to those skilled in the art.

[0026] It should be noted that, unless otherwise stated, the technical or scientific terms used in this application shall have the ordinary meaning as understood by one of ordinary skill in the art to which this application pertains.

[0027] In coal-fired power units, the direct-fired pulverizing system of the medium-speed coal mill is a crucial auxiliary system, responsible for grinding raw coal into qualified pulverized coal and directly conveying it to the boiler burner. When the unit load changes, the main control system issues a command requiring the direct-fired pulverizing system of the medium-speed coal mill to adjust the coal feed rate accordingly, thereby changing the amount of fuel entering the furnace and achieving a rapid and precise power response. However, there is a significant physical delay between the issuance of the coal feed rate adjustment command and the actual change in pulverized coal concentration at the boiler burner. This delay severely affects the unit's peak-shaving rate. Currently, existing technologies lack a specific analysis of the impact of this delay on the overall response delay time, resulting in a lack of targeted compensation strategies and difficulty in effectively compensating for the delay time in the pulverizing process.

[0028] Therefore, the applicant of this application has conceived of a method for analyzing the response delay factors of a direct-fired pulverizing system, such as... Figure 1 As shown, the details are as follows:

[0029] Step 101: Obtain the number of powder pipes, cross-sectional area of ​​powder pipes, outlet pressure of powder pipes, outlet wind speed of powder pipes, outlet temperature of powder pipes, and the temperature, density and pressure of ideal gas under standard conditions for a single coal mill.

[0030] Before formally introducing this step, this application embodiment also introduces that the direct-fired pulverizing system of the medium-speed coal mill is the core auxiliary system for coal-fired units to achieve precise fuel supply. Its working process has the significant characteristics of continuity and closed-loop sorting, and can be divided into stages such as raw coal entering the mill, grinding, and coal powder conveying.

[0031] The direct-fired pulverizing system of a medium-speed coal mill works as follows: Raw coal fed by the coal feeder falls precisely into the coal mill through the coal chute. This stage marks the beginning of the fuel supply for the pulverizing system and directly determines the basic raw material input for subsequent pulverizing. After entering the coal mill, the raw coal is crushed and ground by the grinding components. Simultaneously, primary air is continuously introduced into the coal mill, providing a heat source for coal powder drying and serving as the power carrier for coal powder transportation. The ground coal powder is blown up by the primary airflow and enters the dynamic separator stage. The dynamic separator is a key device to ensure that the coal powder particle size meets the requirements. It sorts the coal powder carried by the airflow, screening out coal powder whose particle size does not meet the boiler combustion requirements and sending it back to the coal mill for secondary grinding. Qualified coal powder is then transported to the boiler through the pulverizer pipe with the primary air, providing stable heat energy for the unit's power generation.

[0032] In addition, each powder pipe in this embodiment is equipped with an online air-powder measurement device, which can monitor key parameters such as air velocity and air-powder concentration in the powder pipe in real time, providing data support for judging the operating status of the powder making system and analyzing subsequent delay factors.

[0033] In this step, the air-powder data includes the number of powder tubes in the coal mill, the cross-sectional area of ​​the powder tubes, the outlet pressure of the powder tubes, the outlet air velocity of the powder tubes, and the outlet temperature of the powder tubes.

[0034] Step 102: Based on the number of powder pipes, cross-sectional area of ​​powder pipes, outlet pressure of powder pipes, outlet wind speed of powder pipes, outlet temperature of powder pipes, and the ideal gas temperature, density and pressure under standard conditions, obtain the amount of pulverized coal passing through the powder pipes of a single coal mill per unit time.

[0035] The formula for calculating the amount of pulverized coal passing through the pulverized coal pipe per unit time for a single coal mill is as follows:

[0036]

[0037]

[0038] Among them, M c The amount of pulverized coal passing through the pulverized coal pipe per unit time is expressed in t / h, where n is the total number of pulverized coal pipes in a single mill, and M is the total amount of pulverized coal pipes in a single mill. i,c Let Ti be the amount of pulverized coal passing through the i-th pulverized coal pipe per unit time, in t / h, and T0 be the ideal gas temperature under standard conditions, which can be taken as 273.15°C for calculation. i V represents the pressure at the point where the powder is measured in the i-th powder pipe, in kPa. i Let A be the air velocity of the i-th powder pipe, in m / s. i Let m be the cross-sectional area of ​​the i-th powder pipe. 2 , The density of an ideal gas under standard conditions can be taken as 1.293 kg / m³ for calculation. 3 Ti is the temperature of the air-powder mixture in the i-th powder pipe, P0 is the ideal gas pressure under standard conditions, which can be taken as 101.325 kPa for calculation. i,c Let be the concentration of air and powder in the i-th powder tube.

[0039] In this step, after obtaining the corresponding parameters in step 101, the "reference characteristics of an ideal gas under standard conditions" are defined as T0 (standard temperature) and P0 (standard pressure). Using (standard density) as a reference scale, the actual operating parameters (outlet pressure P) of the i-th powder pipe are... i Substituting the outlet temperature Ti into the corrected relation of the ideal gas law This enables the conversion of gas parameters from actual operating conditions to standard conditions, accurately correcting gas density deviations under high temperature and high pressure environments. Subsequently, it combines the cross-sectional area A of the i-th powder pipe... i With the outlet wind speed V i The actual volumetric flow rate of the powder-carrying airflow inside the powder pipe is calculated; then, the real-time powder concentration F introduced into the powder pipe is used to determine the flow rate. i,c By linking the "coal powder airflow parameters" with the "coal powder ratio," and using a coefficient of 3.6 to perform unit conversion (from kg / s to t / h), the coal powder quantity M per unit time of a single coal powder pipe is finally obtained. i,c Finally, taking the total number of pulverized coal pipes n in a single coal mill as the dimension, we examine the M values ​​of all pulverized coal pipes. i,c By summing the results, we can obtain the total amount of pulverized coal M passing through the pulverized coal pipe per unit time in the entire coal mill. c This calculation logic is both anchored to the theoretical benchmark of ideal gases and adapted to the engineering characteristics of multi-pipeline parallel operation in pulverizing systems, achieving a unity of "theoretical accuracy" and "engineering practicality".

[0040] Step 103: After determining that the amount of pulverized coal is in steady state for the first preset time, the controlled variable method is used to apply a step disturbance to any factor to be analyzed, and the change data of the amount of pulverized coal over time is monitored in real time.

[0041] The factors to be analyzed are one of the following: primary air volume, coal feed rate, dynamic separator frequency, and pulverizer loading force. The step amplitude of the step disturbance is 10% to 20% of the corresponding data value of the current factor to be analyzed. In this step, the elements in the set of factors to be analyzed are first identified, including at least the core operating parameters of the pulverizing system such as coal feed rate, primary air velocity, hot air valve opening, cold air valve opening, and dynamic separator speed. Before the test, the pulverizer and pulverizing system are adjusted to a stable operating condition, i.e., the amount of pulverized coal passing through the pulverizer pipe per unit time of a single pulverizer is obtained. When the amount of pulverized coal passing through the pulverizer pipe per unit time of a single pulverizer remains in a steady state for a preset first time period, and the fluctuation amplitude of the relevant parameters of the direct-fired pulverizing system of all medium-speed pulverizers does not exceed a preset percentage, the disturbance test baseline conditions are met. A step disturbance is applied to the factors to be analyzed using the controlled variable method, and the change data of the amount of pulverized coal over time is monitored in real time. The experiment involves conducting tests on each individual factor to be analyzed, applying a step disturbance to only that single factor each time while keeping the others constant. The disturbance is implemented by outputting a step command through a distributed control system (DCS). The step amplitude is set to 10%-20% of the actual operating value of the factor being analyzed. For example, if the current coal feed rate is 50 t / h, the step disturbance amplitude is 5-10 t / h; if the hot air valve opening is currently 40%, the step adjustment amplitude is 4%-8%. After the disturbance is applied, a matrix-type charge-sensing array and wireless transmission monitoring system deployed at the coal pipe outlet are used to collect data such as coal concentration and wind speed in real time at a sampling frequency of 100 Hz. The amount of coal powder Mc per unit time is calculated, forming a dynamic curve of time-coal powder quantity change. During the monitoring process, multi-channel data redundancy verification is adopted to eliminate outliers and ensure the authenticity and continuity of the changing data. At the same time, the time of disturbance application, the initial value of coal powder quantity and fluctuation characteristics are recorded to provide complete data support for subsequent operations.

[0042] It is worth noting that in this step, a single perturbation is used for the step disturbance. That is, after meeting the perturbation test baseline conditions, the value corresponding to the factor to be analyzed is adjusted by a step disturbance amplitude, and the change data of the coal powder quantity over time is monitored in real time. Furthermore, to ensure the accuracy of the determination, different step disturbance amplitudes can be adjusted after meeting the perturbation test baseline conditions. Each adjustment is based on determining the value of the factor to be analyzed when the coal powder quantity is in a steady state within a first preset time period. This step, by clearly defining the core factor to be analyzed, strictly controlling the steady-state baseline and the single perturbation principle, combined with precise step commands and high-frequency monitoring verification, efficiently obtains dynamic response data of the coal powder quantity, providing highly reliable support for the judgment, and supporting multi-amplitude verification, thus improving the accuracy of the results and the rigor of the experiment.

[0043] Step 104: In the changing data, when the amount of pulverized coal first reaches the first amount of pulverized coal and is maintained for the second preset time, determine the delay time caused by the change of the factor to be analyzed, and analyze the degree of influence of the factor to be analyzed on the response delay of the direct-fired pulverizing system based on the delay time.

[0044] In this step, the changed data refers to the dynamic sequence data of time-coal powder quantity collected in step 103, presented as a continuous curve with time as the horizontal axis (unit: s) and coal powder quantity Mc as the vertical axis (unit: t / h), including three key stages: steady-state value before disturbance, transient process value after disturbance, and new steady-state value. The changed data can also be displayed in the form of bar charts, column charts, etc. The first coal powder quantity is the coal powder quantity passing through the powder pipe of a single coal mill per unit time after disturbance, when the new steady state is reached. The second preset time is set automatically according to the actual situation. There is no comparison between the first and second preset times; both are set automatically according to the actual situation. In the judgment operation, the characteristic parameters of the time-coal powder quantity curve are first extracted through the data processing system, including the disturbance application time t0, the steady-state coal powder quantity Mc0 before disturbance, the real-time coal powder quantity Mc(t), and the fluctuation amplitude. Using a preset time interval as a time window, the absolute value of the difference between Mc(t) and the first coal powder quantity is continuously calculated. When this difference first equals the preset difference (which can be 0 or a range set according to actual conditions, without limitation here), this moment is recorded as t1 (i.e., the moment when the coal powder quantity first reaches the first coal powder quantity). Subsequently, the Mc(t) data after t1 is continuously monitored and maintained for a second preset time. If the deviation of all data points from the first coal powder quantity within this time period is less than or equal to the preset difference, it is determined that the coal powder quantity meets the condition of "maintaining the second preset time". In other words, after a disturbance, if the coal powder quantity does not change significantly from the steady-state value before the disturbance, it is determined that the factor to be analyzed will not cause a delay. When the coal powder quantity fluctuates from the steady-state value before the disturbance and reaches a new steady-state value (the first coal powder quantity), the factor to be analyzed is determined as the target delay factor affecting the response delay time of the direct-fired pulverizing system, and the delay time caused by the change of the factor to be analyzed is determined. Based on the delay time, the degree of influence of the factor to be analyzed on the response delay of the direct-fired pulverizing system is analyzed. A specific method to determine the degree of influence is to sum the delay times corresponding to the factors to be analyzed to obtain the total delay time value, and then use the proportion of the delay time corresponding to any factor to be analyzed to the total delay time value.

[0045] Therefore, by clearly defining the changing data format, quantifying the judgment threshold, and establishing the time window, a standardized process for determining delay factors has been established. Relying on data feature extraction and deviation verification, this process avoids interference from operating condition fluctuations. Simultaneously, by correlating the disturbance time with the response duration, it ensures the rigor of the judgment results and provides a quantitative basis for subsequent delay compensation strategies, thereby improving the targeted nature of response delay optimization in the pulverizing system.

[0046] Furthermore, this application provides a more detailed description of the delay factor analysis method for direct-blown pulverizing systems, such as... Figure 2 As shown, the details are as follows:

[0047] Step 201: Obtain the air-coal data and gas state parameter data of a single coal mill, and based on the air-coal data and gas state parameter data of a single coal mill, obtain the amount of coal powder passing through the powder pipe of a single coal mill per unit time.

[0048] In this step, the coal dust data includes the number of pulverized coal pipes, cross-sectional area of ​​the pulverized coal pipes, outlet pressure of the pulverized coal pipes, outlet air velocity of the pulverized coal pipes, and outlet temperature of the pulverized coal pipes for a single coal mill. Gas state parameter data includes the temperature, density, and pressure of an ideal gas under standard conditions. The data acquisition method is the same as that in step 101 of the above embodiments. The amount of pulverized coal passing through the pulverized coal pipes per unit time for a single coal mill is calculated in the same way as in step 102, and will not be elaborated further here.

[0049] Step 202: After determining that the amount of pulverized coal is in steady state for the first preset time, the controlled variable method is used to apply a step disturbance to the factor to be analyzed, and the change data of the amount of pulverized coal over time is monitored in real time.

[0050] In this step, the factors to be analyzed include at least one of the following: primary air volume, coal feed rate of the coal feeder, dynamic separator frequency, and coal mill loading force.

[0051] In this step, after confirming that the pulverized coal quantity is in steady-state operation within a first preset time period, one of the following factors is selected as the analysis factor: primary air volume, coal feed rate of the coal feeder, frequency of the dynamic separator, and loading force of the coal mill. Subsequently, a controlled variable method is used to conduct experiments. Each time, only the selected factor is subjected to a step disturbance, while the other factors remain constant. The step amplitude is 10%-20% of the current operating value of that factor. The disturbance command is issued through the DCS control system. After the disturbance is applied, the sensor array at the pulverized coal pipe outlet is used to collect data such as air-coal concentration and air velocity in real time at a high-frequency sampling frequency. The pulverized coal quantity per unit time is calculated, forming a time-pulverized coal quantity dynamic change curve. During the monitoring process, a multi-channel data redundancy verification mechanism is activated to eliminate abnormal data. Simultaneously, the time of disturbance application, the initial value of the pulverized coal quantity, and the fluctuation characteristics are recorded to ensure that the obtained change data is true and continuous, providing complete and reliable data support for subsequent judgments.

[0052] Step 203: In the changing data, when the amount of pulverized coal first reaches the first amount of pulverized coal and is maintained for the second preset time, determine the delay time corresponding to the factor to be analyzed.

[0053] In this step, if the amount of pulverized coal after the disturbance does not reach the first amount of pulverized coal for the first time and is maintained for the second preset time, it is determined that the amount of pulverized coal after the disturbance has reached a stable operating state.

[0054] In this embodiment, the method further includes determining the delay time caused by the change of the factor to be analyzed, specifically calculated as follows: obtaining the first timestamp of the step disturbance command being issued, and the second timestamp when the amount of coal powder passing through the coal pipe per unit time reaches 0.632 times the first amount of coal powder; determining the delay time caused by the change of the factor to be analyzed as the difference between the second timestamp and the first timestamp.

[0055] Specifically, to further determine the delay time, the specific operational process is as follows: First, a timestamp synchronization acquisition system is established. This system achieves millisecond-level time calibration with the command issuance module of the DCS control system and the coal powder quantity monitoring module of the coal powder pipe. When the DCS system issues a step disturbance command to the factor to be analyzed, this moment is automatically recorded as the first timestamp t0, and the type and amplitude of the disturbance command are stored synchronously. Subsequently, the monitored time-coal powder quantity dynamic change curve is continuously retrieved, and the ratio of the coal powder quantity Mc(t) per unit time to the first coal powder quantity Mc1 is calculated in real time. When this ratio first reaches 0.632 times the first coal powder quantity, this moment is locked as the second timestamp t1 to ensure the validity of data triggering and avoid timestamp errors caused by instantaneous fluctuations. Finally, the delay time τ is calculated through the data processing module, with the formula τ = t1 - t0. Simultaneously, the delay time is associated with and archived with the corresponding factor to be analyzed, disturbance amplitude, and coal powder quantity response curve to form a complete quantitative record of the delay. Throughout the process, timestamp data needs to be redundantly checked to eliminate abnormal time points caused by system communication delays, ensuring the accuracy of delay time calculations.

[0056] It is worth noting that the time difference corresponding to 0.632 times the first coal powder quantity was chosen to calculate the delay, rather than the difference between the first coal powder quantity and the initial time. The core reason is the compatibility of the pulverizing system's response characteristics with classical control theory: the step response of the coal powder quantity in a direct-fired pulverizing system can be equivalent to a first-order inertial element, and its response model is Mc(t) = Mc1(1-e^(t-1)). （-t / τ） When t=τ, Mc(t) / Mc1=(1-e^(t / τ)) -1The value represents a key characteristic of a first-order inertial system completing its core response process, accurately characterizing the lag time required for the system to overcome inertia. However, the time to first reach the initial coal powder quantity includes a buffer phase where the system enters steady state. This phase is susceptible to minor fluctuations in operating conditions, failing to accurately reflect the inherent lag effect of delay factors. Furthermore, the subjectivity of the "first-time achievement" determination leads to a lack of standardized data. From a technical perspective, using a 0.632 times threshold method achieves standardized quantification of delay time based on classical control theory, improving the comparability of data under different operating conditions. It also filters out interference from steady-state fluctuations, reducing errors in delay time calculation. Simultaneously, this value corresponds to the system's inertial time constant, directly matching the parameter tuning requirements of the compensation algorithm. This provides a precise quantitative basis for delay compensation strategies in pulverizing systems, promoting a shift from qualitative analysis to quantitative control in compensation measures. In contrast, the "first-time achievement time difference" fails to achieve these technical values ​​and its ambiguous determination criteria affect the targeted nature of the compensation strategy.

[0057] Furthermore, the method also includes: recording the change curve of the amount of pulverized coal passing through the pulverizer within the unit time from the first timestamp to the first time the amount of pulverized coal is reached; and analyzing the impact of the delay factor on the dynamic characteristics of the pulverizing system based on the change curve.

[0058] Specifically, firstly, relevant information, such as timestamps and coal powder quantity, is obtained from the DCS control system. Starting from the first timestamp t0 (the moment the step disturbance command is issued), real-time data of the coal powder quantity Mc(t) per unit time is automatically collected at 10ms sampling intervals until the coal powder quantity first reaches the first coal powder quantity Mc1 and is maintained for a second preset time. Key nodes in the curve are marked synchronously (such as the time corresponding to 0.632 times Mc1, the response inflection point, the fluctuation peak point, etc.), forming a change curve covering "disturbance triggering - transition response - steady-state achievement". At the same time, metadata such as disturbance factor type and step amplitude are bound to the curve to ensure data traceability. Secondly, a multi-dimensional analysis model of dynamic characteristics is constructed. First, the actual response curve is compared with the first-order / By comparing with theoretical models of second-order inertial systems, core indicators such as rise time, settling time, overshoot (if present), and response rate are accurately extracted. Differential analyses are then conducted for different factors to be analyzed. For example, for delay factors such as coal feed rate, the focus is on analyzing the inertia of pulverized coal supply reflected by the slope of the rising segment of the curve; for primary air volume factors, the emphasis is on evaluating the conveying stability reflected by the fluctuation amplitude during the transition phase; and for dynamic separator frequency factors, the focus is on the response lag caused by particle size separation lag before the curve reaches its target. Finally, a characteristic influence correlation library is established, binding the dynamic indicators of each curve with the influence weight of the corresponding delay factor to generate a visual characteristic comparison chart. This intuitively presents the differentiated effects of different delay factors on the dynamic response of the pulverizing system, providing accurate characteristic data support for subsequent system control strategy optimization and delay compensation algorithm tuning.

[0059] Based on this discussion, it can be seen that, from the data acquisition perspective, capturing the coal powder quantity change process with a high-frequency sampling interval of 10ms, combined with key node marking and metadata binding, enables full-process traceability of the response curve, solving the problems of data fragmentation and incomplete information in traditional monitoring, and laying a highly reliable data foundation for subsequent characteristic analysis. From the characteristic analysis perspective, relying on nonlinear fitting algorithms to achieve accurate alignment between actual curves and theoretical models, core dynamic indicators such as rise time and adjustment time can be quantitatively extracted. At the same time, differentiated analysis can be carried out for different delay factors, accurately locating the differential influence mechanisms of coal feed inertia, primary air delivery stability, and separator frequency sorting lag, breaking through the limitations of previous qualitative judgments on the influence of delay factors. The construction of the characteristic influence correlation library and visualization map not only achieves precise binding between dynamic indicators and delay factors, but also intuitively presents the influence weight and role differences of different factors. This provides a quantitative basis for optimizing the control strategy of the pulverizing system and tuning the delay compensation algorithm, which can promote the transformation of compensation measures from "general" to "precisely adapted", effectively improve the response agility and operational stability of the coal-fired unit pulverizing system, and at the same time provide a reusable technical paradigm for the dynamic characteristic analysis of similar industrial systems.

[0060] Furthermore, the method also includes: before applying a step disturbance, determining the stable range of pulverized coal quantity based on the current operating state of the direct-fired pulverizing system, and dynamically setting the upper limit of the safe amplitude of the step disturbance; during the application of the step disturbance, monitoring the rate of change of boiler furnace pressure and main steam temperature in real time, and if the rate of change exceeds the safe threshold, pausing the current disturbance or reducing the disturbance amplitude; after the pulverized coal quantity first reaches the first pulverized coal quantity, applying a reverse step disturbance to enable the pulverizing system to quickly recover to near the initial operating state, and recording the dynamic characteristics of the recovery process.

[0061] Specifically, before applying a step disturbance, real-time operating parameters such as the current coal feed rate, primary air pressure, and coal mill outlet temperature of the pulverizing system are retrieved. Combined with the unit's historical steady-state operating condition database, the stable value range of pulverized coal quantity under the current operating condition is defined. Then, based on the boiler's real-time load and the burner's fuel matching margin, the upper limit of the safe range of the step disturbance is dynamically set. For example, under low-load conditions, the upper limit of the coal feed rate disturbance is controlled at 10%, and under high-load conditions, it is relaxed to 20%, ensuring that the disturbance does not exceed the system's safe operating boundary.

[0062] During the disturbance application process, boiler furnace pressure and main steam temperature data are continuously collected at a certain time interval (e.g., 20ms). The real-time change rate of the two is obtained through differential calculation. The furnace pressure change rate is compared with the preset safe threshold for furnace pressure change rate (e.g., 0.2kPa / s), and the main steam temperature is compared with the preset safe threshold for main steam temperature change rate (e.g., 0.5℃ / s). Once the change rate is detected to exceed the corresponding threshold, the interlocking mechanism is immediately triggered to suspend the current disturbance operation or reduce the disturbance amplitude to the original set value or the preset proportion of the original set value. The test is continued only after the parameters return to the safe range.

[0063] The reverse step amplitude is the same as the step amplitude of the step disturbance. When the coal powder amount reaches the first coal powder amount for the first time, the reverse step command is output according to the original disturbance amplitude. For example, if the original coal feed rate increases by 6t / h in the positive direction, it will decrease by 6t / h in the reverse direction, pushing the pulverizing system back to the initial operating state. At the same time, the dynamic changes of parameters such as coal powder amount and primary air velocity during the recovery stage are recorded simultaneously to form a complete recovery process data record.

[0064] The above process constructs a full-cycle safety protection system for disturbance testing. The dynamic setting of the upper limit of the disturbance amplitude before the disturbance avoids the risk of disturbances exceeding the operating conditions from the source, ensuring the basic stability of the pulverizing system and boiler combustion. Real-time monitoring and interlocking control of furnace pressure and main steam temperature during the disturbance can quickly respond to abnormal operating conditions and prevent unit operation fluctuations caused by the test. The reverse step disturbance mechanism not only realizes the rapid reset of the system operating conditions, but also supplements the dynamic characteristic data in the recovery phase, improves the dimensions of the test data, and ensures the continuous conduct of multiple sets of disturbance tests. While improving the safety and efficiency of the test, it provides complete data support for the study of the dynamic characteristics of the pulverizing system under all operating conditions.

[0065] Furthermore, the method also includes target delay factor coupling analysis, which includes: when there are at least two target delay factors, applying a step perturbation to each target delay factor simultaneously and acquiring coal powder quantity change data, wherein the step perturbation amplitude of any target delay factor is consistent with the step perturbation amplitude applied when it is a single factor to be analyzed, and does not exceed the upper limit of the safe amplitude when the factor is perturbed alone; generating a first coal powder quantity response curve under multiple target delay factor perturbation based on the coal powder quantity change data; comparing the first coal powder quantity response curve with a second coal powder quantity response curve under any target delay factor perturbation alone to evaluate the coupling effect strength among multiple target delay factors.

[0066] Specifically, a multi-factor synchronous disturbance triggering mechanism is first established. Independent disturbance channels are pre-assigned to multiple selected target delay factors (such as coal feed rate and primary air volume), and the disturbance amplitude of each factor is controlled within its individual disturbance safety limit. Nanosecond-level or millisecond-level synchronous triggering commands are issued through the DCS system to ensure that the multi-factor disturbances are applied without deviation in the time dimension. Subsequently, a dual-channel data acquisition link is activated. One channel acquires real-time coal powder data, while the other synchronously records the actual disturbance execution values ​​of each target delay factor, forming a coal powder change dataset containing disturbance coordination parameters. Based on the acquired data, a first coal powder response curve is generated, and coordinated disturbance feature points are labeled. Next, the response curve of the first coal powder quantity is compared with the response curve of the second coal powder quantity under individual perturbations of each factor. The comparison data includes core indicators such as the duration corresponding to 0.632 times the coal powder quantity, the rate of rise, and the steady-state fluctuation amplitude. During the comparison process, the deviation of the index between the multi-factor perturbation and the single-factor perturbation is calculated for any core index using a difference algorithm. Then, a coupling effect quantification value is generated by combining the preset weights of multiple target delay factors to evaluate the strength of the coupling effect. At the same time, a coupling effect feature library is established to achieve data traceability. This implementation method constructs a multi-factor synchronous perturbation and comparison system, which breaks through the limitations of traditional single-factor analysis and achieves accurate quantification of the coupling effect of delay factors. Nanosecond / millisecond-level synchronous triggering ensures the synergy of multi-factor perturbations, dual-channel data acquisition improves the integrity and correlation of data, and multi-dimensional index deviation analysis quantifies the strength of the coupling effect, providing a key basis for the formulation of multi-factor collaborative compensation strategies for the pulverizing system and significantly improving the comprehensiveness and adaptability of delay compensation.

[0067] It is worth noting that the above-mentioned assessment of the coupling effect strength among multiple target delay factors includes: calculating the first response time when the first coal powder quantity response curve reaches 0.632 times the first coal powder quantity, and the second response time when the second coal powder quantity response curve reaches 0.632 times the corresponding coal powder quantity; obtaining the duration coupling deviation value based on the difference between the weighted average of the first response time and each second response time; and determining the strength level of the coupling effect among multiple target delay factors based on the comparison result between the duration coupling deviation value and the preset deviation threshold, wherein the greater the duration coupling deviation value exceeds the preset deviation threshold, the higher the coupling effect strength.

[0068] Specifically, when evaluating the coupling effect strength among multiple target delay factors, the first coal powder quantity response curve under synchronous perturbation of multiple target delay factors and the second coal powder quantity response curve under individual perturbation of each target delay factor are retrieved from the experimental database. The time axes of all curves are uniformly calibrated to ensure consistency of timestamp references. Subsequently, the moment when the coal powder quantity in the first coal powder quantity response curve first reaches 0.632 times the first coal powder quantity is located, and the difference between this and the first timestamp t0 when the perturbation command is issued is used to obtain the first response duration t1. For each second coal powder quantity response curve, the response duration for reaching 0.632 times the corresponding coal powder quantity is calculated, i.e., the second response duration t. 21 t 22 …t 2n (n represents the number of target delay factors). Next, based on the influence weights of each target delay factor on the pulverizing system (e.g., coal feed weight 0.4, primary air volume weight 0.3, dynamic separator frequency weight 0.3), the weighted average of the second response time is calculated. , where w i Let be the weight of the i-th factor, and let the sum of the weights be 1. Then, use the formula... The duration coupling deviation value is calculated, and three levels of deviation thresholds are preset (e.g., Level I ≤ 2s, Level II 2-5s, Level III > 5s). Finally, the duration coupling deviation value is compared with the threshold to determine the strength level of the coupling effect: a deviation value falling into Level I indicates weak coupling, Level II indicates medium coupling, and Level III indicates strong coupling. The determination result is then associated with the weights of each factor and the response curve and stored in the coupling effect feature library. This implementation method, relying on the classic characteristic point of 0.632 times the coal powder quantity, achieves standardized quantification of multi-factor coupling effects, avoiding the bias of subjective judgment. Weighted average calculation takes into account the influence weights of different delay factors, making the coupling effect assessment more consistent with actual working conditions. The graded threshold determination clearly divides the coupling strength levels, providing a precise basis for multi-factor collaborative compensation in the pulverizing system. This not only fills the limitations of single-factor analysis but also improves the comprehensiveness and adaptability of the delay compensation strategy, clarifying the limitations of the pulverizing system on the peak-shaving rate.

[0069] Furthermore, after generating the first pulverized coal quantity response curve under multi-objective delay factor perturbation, the method further includes: extracting dynamic characteristic parameters such as the rise rate, overshoot, and settling time of the first pulverized coal quantity response curve, as well as the same type of characteristic parameters corresponding to each second pulverized coal quantity response curve; calculating the deviation rate between each characteristic parameter of the first pulverized coal quantity response curve and the weighted value of the corresponding characteristic parameter of the second pulverized coal quantity response curve; weighting and summing the deviation rates of each characteristic parameter to obtain the comprehensive evaluation value of the coupling effect, and classifying the influence level of the coupling effect according to the evaluation value range.

[0070] Specifically, after generating the first pulverized coal quantity response curve under multi-objective delay factor perturbation, the dynamic characteristic parameter extraction process is first initiated to analyze the first response curve segment by segment: for the rise rate, the rising stage of the curve from the triggering of the perturbation to near the new steady state is selected, and its overall upward trend is determined through slope analysis; for the overshoot, the maximum deviation of the curve from the steady-state value of the first pulverized coal quantity is identified; for the settling time, the complete duration from the application of the perturbation to the pulverized coal quantity stabilizing within the allowable fluctuation range of the first pulverized coal quantity is defined. Simultaneously, for the second pulverized coal quantity response curve under individual perturbation of each objective delay factor, the same analytical logic is used to extract the corresponding rise rate, overshoot, and settling time parameters, forming a standardized set of characteristic parameters. Subsequently, based on the actual influence weight of each dynamic characteristic parameter on the response characteristics of the pulverizing system, the weighted average of similar parameters of the second response curve is first calculated, and then the corresponding parameters of the first response curve are compared with this weighted average to obtain the deviation rate of each parameter. Then, the deviation rates are weighted and summed according to the preset parameter weights to obtain the comprehensive evaluation value of the coupling effect. Finally, based on the actual operating conditions of the pulverizing system, the impact levels of the coupling effect are classified, and the evaluation results are correlated with information such as response curves and factor types, stored in a dedicated coupling effect analysis database to form a traceable analysis record. This implementation method achieves systematic quantification of the coupling effect of multi-objective delay factors through the extraction and weighted analysis of multi-dimensional dynamic characteristic parameters, breaking through the limitations of single-index evaluation. Its weight allocation mechanism conforms to the actual response law of the pulverizing system, making the evaluation results more practical for engineering applications; the graded judgment clearly defines the degree of influence of the coupling effect, providing a precise quantitative basis for formulating multi-factor collaborative delay compensation strategies, which not only improves the delay factor analysis system, but also enhances the adaptability of the pulverizing system control strategy and the stability of the unit load response.

[0071] Furthermore, the simultaneous application of step disturbances to the selected target delay factors includes: determining the step disturbance amplitude of each selected target delay factor, ensuring that the disturbance amplitude of each factor does not exceed the upper limit of its safe amplitude when disturbed alone; issuing step disturbance commands to each selected target delay factor simultaneously through the DCS control system according to a preset synchronous trigger command to ensure the time synchronization of disturbance application; and monitoring the actual disturbance execution value of each target delay factor in real time during the disturbance application process, correcting any execution deviations in a timely manner to ensure the accuracy of multi-factor disturbances.

[0072] Specifically, when applying a step disturbance to selected target delay factors simultaneously, the compliance verification of the disturbance amplitude is first carried out. First, the safe amplitude upper limit records for each target delay factor under individual disturbance are retrieved. Combined with the steady-state operating parameters of the current pulverizing system, a dedicated disturbance amplitude range is defined for each selected factor to ensure that the disturbance amplitude of each factor does not exceed its safe threshold under individual testing. For example, if the safe upper limit for a single disturbance of coal feed rate is 20%, then the amplitude of multiple factors under synchronous disturbance must be controlled within this value to avoid system instability caused by excessive disturbance. Subsequently, a synchronous disturbance triggering link is established. An independent command transmission channel is pre-configured for each target delay factor in the DCS control system, and a time synchronization calibration module is embedded to generate a unified preset synchronous trigger command. Before issuing the trigger command, the command transmission delay of each channel is pre-checked to ensure that the delay deviation of all channels is controlled within the microsecond level. When the command is issued, the DCS system simultaneously pushes step disturbance commands to each selected factor, realizing the seamless and coordinated application of multi-factor disturbances in the time dimension, and eliminating the problem of disturbance asynchrony caused by the order of command issuance. During the disturbance application process, a real-time deviation monitoring mechanism is activated, which collects the actual disturbance execution value of each target delay factor through sensors and compares it with the preset disturbance amplitude in real time. If a deviation is detected between the actual execution value and the preset value of a factor, the dynamic correction module of the DCS system is immediately triggered to compensate for the deviation by fine-tuning the command output. For example, if the actual disturbance amplitude of the primary wind speed is lower than the preset value, the opening of the wind speed regulating valve is automatically increased until the actual value matches the preset value, ensuring the accuracy of multi-factor disturbances throughout the process.

[0073] This implementation method constructs a multi-factor collaborative perturbation system of "amplitude verification - synchronous triggering - deviation correction". It avoids system security risks from the source by verifying amplitude compliance, ensuring the basic safety of the experiment. The microsecond-level synchronous triggering mechanism achieves time coordination of multi-factor perturbations, eliminating the problem of experimental data distortion caused by asynchronous commands and improving the reliability of benchmark data for coupling effect analysis. The real-time deviation correction mechanism ensures the accurate implementation of the perturbation amplitude of each factor, avoiding interference from execution deviations on the experimental results. The overall process not only ensures the safety and accuracy of multi-factor perturbation experiments but also provides high-quality experimental data for subsequent coupling effect evaluation, promoting the extension of delay factor analysis in pulverizing systems from a single-factor dimension to a multi-factor collaborative dimension.

[0074] Furthermore, as a response to the above Figure 1-2In addition to the implementation of the method embodiments shown, this embodiment of the invention also provides a device for analyzing the delay factor of a direct-blown pulverizing system. This device is used to accurately analyze the delay factor of the direct-blown pulverizing 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 3 As shown, the device includes:

[0075] The acquisition unit 31 is used to acquire the number of powder pipes, cross-sectional area of ​​powder pipes, outlet pressure of powder pipes, outlet wind speed of powder pipes, outlet temperature of powder pipes, and temperature, density and pressure of ideal gas under standard conditions for a single coal mill.

[0076] The calculation unit 32 is used to obtain the amount of coal powder passing through the coal powder pipe of a single coal mill per unit time based on the number of coal powder pipes, cross-sectional area of ​​coal powder pipes, outlet pressure of coal powder pipes, outlet wind speed of coal powder pipes, outlet temperature of coal powder pipes, and the temperature, density and pressure of ideal gas under standard conditions in the acquisition unit 31.

[0077] The monitoring unit 33 is used to apply a step disturbance to any factor to be analyzed using the control variable method after the coal powder quantity in the calculation unit 32 is determined to be in a steady state for a first preset time, and to monitor the change data of the coal powder quantity over time in real time. The factor to be analyzed is one of the following: primary air volume, coal feeder feed rate, dynamic separator frequency, and coal mill loading force.

[0078] The monitoring unit 33 is used to determine the delay time caused by the change of the factor to be analyzed when the amount of pulverized coal first reaches the first amount of pulverized coal and is maintained for a second preset time in the changing data, and to analyze the degree of influence of the factor to be analyzed on the response delay of the direct-fired pulverizing system based on the delay time.

[0079] Furthermore, such as Figure 4 As shown, the computing unit 32 includes:

[0080] The formula for calculating the amount of pulverized coal passing through the pulverized coal pipe per unit time for a single coal mill is as follows:

[0081]

[0082]

[0083] Among them, M c The amount of pulverized coal passing through the pulverized coal pipe per unit time is expressed in t / h, where n is the total number of pulverized coal pipes in a single mill, and M is the total amount of pulverized coal pipes in a single mill. i,c The amount of pulverized coal passing through the i-th pulverized coal pipe per unit time is expressed in t / h, where T0 is the ideal gas temperature under standard conditions, and P... iV represents the pressure at the point where the powder is measured in the i-th powder pipe, in kPa. i Let A be the air velocity of the i-th powder pipe, in m / s. i Let m be the cross-sectional area of ​​the i-th powder pipe. 2 , The density of an ideal gas under standard conditions is kg / m³. 3 Ti is the temperature of the air-powder in the i-th powder tube, P0 is the ideal gas pressure under standard conditions (kPa), and F i,c Let be the concentration of air and powder in the i-th powder tube.

[0084] Furthermore, such as Figure 4 As shown, the device includes a determining unit 34, which includes:

[0085] The calculation module 341 is used to obtain the first timestamp of the step disturbance command and the second timestamp when the amount of coal powder passing through the coal pipe per unit time reaches 0.632 times the first amount of coal powder.

[0086] The calculation module 341 is used to determine the delay time caused by the change of the factor to be analyzed as the difference between the second timestamp and the first timestamp.

[0087] Furthermore, such as Figure 4 As shown, after determining the delay time caused by the change in the factor to be analyzed, the device includes a determining unit 34 comprising:

[0088] Recording module 342 is used to record the change curve of the amount of coal powder passing through the coal pipe within the unit time from the first time stamp to the first time the first amount of coal powder is reached;

[0089] The recording module 342 is used to analyze the impact of the delay factor on the dynamic characteristics of the direct-blown pulverizing system based on the change curve.

[0090] Furthermore, such as Figure 4 As shown, the device further includes:

[0091] Before applying a step disturbance, the stable range of coal powder quantity is determined based on the current operating status of the direct-fired pulverizing system, and the upper limit of the safe range of the step disturbance is dynamically set.

[0092] During the application of a step disturbance, the rate of change of the boiler furnace pressure and the main steam temperature is monitored in real time. If the rate of change exceeds the corresponding safety threshold, the current disturbance is paused or the disturbance amplitude is reduced.

[0093] After the amount of pulverized coal reaches the first amount of pulverized coal for the first time, a reverse step disturbance is applied to restore the direct-fired pulverizing system to its initial operating state, and the dynamic characteristics of the recovery process are recorded.

[0094] Furthermore, such as Figure 4 As shown, the device includes an analysis unit 35, which includes a target delay factor coupling analysis, the target delay factor coupling analysis including:

[0095] The acquisition module 351 is used to simultaneously apply a step disturbance to the target delay factors when there are at least two target delay factors, and acquire the corresponding coal powder quantity change data. The step disturbance amplitude of any target delay factor is consistent with the step disturbance amplitude applied when it is a single factor to be analyzed, and does not exceed the upper limit of the safe amplitude when the factor is disturbed alone.

[0096] The curve generation module 352 is used to generate the first coal powder quantity response curve under multi-objective delay factor perturbation based on the coal powder quantity change data in the acquisition module 351.

[0097] Evaluation module 353 is used to compare the first coal powder quantity response curve in the generation curve module 352 with the second coal powder quantity response curve under the individual perturbation of any target delay factor, so as to evaluate the coupling effect strength among multiple target delay factors.

[0098] Furthermore, embodiments of this application also provide a computing device, the computing device comprising: at least one processor, and a memory, wherein the memory stores instructions executable by the processor, the instructions being executed by the processor, thereby enabling the processor to perform the above-described operations. Figure 1-2 The method for analyzing the delay factors of the direct-blown pulverizing system described in the paper.

[0099] Furthermore, embodiments of this application also provide a readable storage medium for storing a computer program, wherein the computer program, when running, controls the device where the storage medium is located to perform the above-described actions. Figure 1-2 The method for analyzing the delay factors of the direct-blown pulverizing system described in the paper.

[0100] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0101] It is understood that the relevant features in the above methods and apparatus can be referenced interchangeably. Furthermore, the terms "first," "second," etc., in the above embodiments are used to distinguish between embodiments and do not represent the superiority or inferiority of any particular embodiment.

[0102] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0103] The algorithms and displays provided herein are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems can also be used in conjunction with the teachings herein. The required structure for constructing such systems is apparent from the above description. Furthermore, this invention is not directed to any particular programming language. It should be understood that the contents of the invention described herein can be implemented using various programming languages, and the above description of specific languages ​​is for the purpose of disclosing the best mode of implementation of the invention.

[0104] In addition, the memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0105] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0106] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations 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, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0107] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0108] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0109] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0110] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0111] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, magnetic magnetic disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0112] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0113] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. The above descriptions are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method of analyzing a delay factor of a direct-fired pulverizing system, characterized by, The method comprises: acquiring the number of powder pipes, the cross-sectional area of the powder pipes, the outlet pressure of the powder pipes, the outlet wind speed of the powder pipes, the outlet temperature of the powder pipes, and the temperature, density and pressure of an ideal gas under standard conditions of a single coal mill; based on the number of powder pipes, the cross-sectional area of the powder pipes, the outlet pressure of the powder pipes, the outlet wind speed of the powder pipes, the outlet temperature of the powder pipes, and the temperature, density and pressure of an ideal gas under standard conditions of the coal mill, obtaining the amount of coal powder passing through the powder pipes per unit time of a single coal mill; after determining that the amount of coal powder is in a steady state within a first preset time, applying a step disturbance to any factor to be analyzed by using the control variable method, and monitoring the change data of the amount of coal powder over time in real time, the factor to be analyzed being one of the primary air volume, the coal supply amount of the coal feeder, the frequency of the dynamic separator, and the load force of the coal mill; when the amount of coal powder reaches a first amount of coal powder for the first time and maintains a second preset time in the change data, determining the delay time caused by the change of the factor to be analyzed, and analyzing the influence degree of the factor to be analyzed on the response delay of the direct-fired pulverizing system based on the delay time.

2. The method of claim 1, wherein, obtaining the amount of coal powder passing through the powder pipes per unit time of a single coal mill comprises: the calculation formula of the amount of coal powder passing through the powder pipes per unit time of a single coal mill is: wherein, wherein M c is the amount of pulverized coal passing through the pulverizing pipe per unit time, in t / h, n is the total number of pulverizing pipes of a single mill, M i,c is the amount of pulverized coal passing through the i-th pulverizing pipe per unit time, in t / h, T0 is the temperature of an ideal gas under standard conditions, P i is the pressure at the pulverized coal measurement point of the i-th pulverizing pipe, in kPa, V i is the velocity of the pulverizing pipe of the i-th pulverizing pipe, in m / s, A i is the cross-sectional area of the i-th pulverizing pipe, in m 2 , 3 is the density of an ideal gas under standard conditions, in kg / m 3 , Ti is the temperature of the pulverized coal in the i-th pulverizing pipe, P0 is the pressure of an ideal gas under standard conditions, in kPa, F i,c is the concentration of the pulverized coal of the i-th pulverizing pipe.

3. The method of claim 1, wherein, determining the delay time caused by the change of the factor to be analyzed, the method further comprising: acquiring a first time stamp of the issuance of the step disturbance instruction, and a second time stamp when the amount of coal powder passing through the powder pipes per unit time reaches 0.632 times the first amount of coal powder; the delay time caused by the change of the factor to be analyzed is the difference between the second time stamp and the first time stamp.

4. The method of any one of claim 3, characterized in that, after determining the delay time caused by the change of the factor to be analyzed, the method further comprises: recording the change curve of the amount of coal powder passing through the powder pipes per unit time from the first time stamp to the first time when the first amount of coal powder is reached; based on the change curve, analyzing the influence of the delay factor on the dynamic characteristics of the direct-fired pulverizing system.

5. The method of claim 1, wherein, the method further comprises: before applying the step disturbance, determining the stable value range of the amount of coal powder based on the current operating state of the direct-fired pulverizing system, and dynamically setting the upper limit of the safe amplitude of the step disturbance; during the application of the step disturbance, the change rates of the furnace pressure and the main steam temperature of the boiler are monitored in real time, and if the change rates exceed the corresponding safety thresholds, the current disturbance is paused or the disturbance amplitude is reduced.

6. The method of claim 1, wherein, the method further comprises: after the amount of coal powder reaches the first amount of coal powder for the first time, a reverse step disturbance is applied to make the direct-fired pulverizing system return to the initial operating state, and the dynamic characteristics of the recovery process are recorded.

7. The method according to any one of claims 1 to 6, characterized in that, the method further comprises target delay factor coupling analysis, which comprises: when there are at least two target delay factors, step disturbances are applied to the target delay factors at the same time, and the change data of the corresponding amount of coal powder are acquired, wherein the step disturbance amplitude of any target delay factor is consistent with the step disturbance amplitude applied when it is a single factor to be analyzed, and does not exceed the upper limit of the safe amplitude when the factor is disturbed alone; based on the change data of the amount of coal powder, a first amount of coal powder response curve under the disturbance of multiple target delay factors is generated; The first coal powder amount response curve is compared with a second coal powder amount response curve under individual perturbation of any target delay factor to evaluate the coupling effect strength among multiple target delay factors.

8. A delay factor analysis device of a direct-fired pulverizing system, characterized in that, an acquisition unit configured to acquire the number of powder pipes, the cross-sectional area of the powder pipes, the outlet pressure of the powder pipes, the outlet wind speed of the powder pipes, the outlet temperature of the powder pipes, and the temperature, density, and pressure of an ideal gas under standard conditions of a single coal mill; a calculation unit configured to obtain the coal powder amount of the single coal mill passing through the powder pipes per unit time based on the number of powder pipes, the cross-sectional area of the powder pipes, the outlet pressure of the powder pipes, the outlet wind speed of the powder pipes, the outlet temperature of the powder pipes, and the temperature, density, and pressure of an ideal gas under standard conditions of the coal mill in the acquisition unit; a monitoring unit configured to, after determining that the coal powder amount is in steady-state operation for a first preset time in the calculation unit, apply a step perturbation to any factor to be analyzed using a control variable method and monitor the change data of the coal powder amount over time in real time, the factor to be analyzed being one of the primary air volume, the coal feeder coal supply amount, the dynamic separator frequency, and the coal mill loading force; the monitoring unit configured to, when the coal powder amount reaches a first coal powder amount for the first time and maintains a second preset time in the change data, determine the delay time caused by the change of the factor to be analyzed, and analyze the influence degree of the factor to be analyzed on the response delay of the direct-fired pulverizing system based on the delay time.

9. A storage medium, the storage medium comprising a stored program, characterized in that The program controls the device where the storage medium is located to execute the delay factor analysis method of the direct-fired pulverizing system according to any one of claims 1 to 7 when the program is running.

10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, The processor implements the delay factor analysis method of the direct-fired pulverizing system according to any one of claims 1 to 7 when the processor executes the program.

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