Pneumatic conveying frequency adjustment method and device, electronic equipment and storage medium

Abstract

The application provides a kind of pneumatic conveying frequency regulation method, device, electronic equipment and storage medium, it is related to energy saving technical field.The present application obtains the system parameter of target pneumatic ash removal system, and the system parameter is input into the preset parameter experience model, and the initial conveying parameter is output;According to the initial conveying parameter, open the pneumatic ash removal system to complete a conveying cycle, and obtain the initial conveying pressure variation curve of conveying pressure change with time in the cycle process;Based on the initial conveying pressure variation curve, determine the initial conveying pressure parameter, and according to the initial conveying pressure parameter, the initial conveying parameter and the preset cycle period threshold value, determine the cycle state, and according to the cycle state, adjust the conveying parameter of next cycle process, obtain target conveying parameter, to adjust the pneumatic conveying frequency to reduce energy consumption.

Description

Technical Field

[0001] This application relates to the field of energy-saving technology, specifically to a pneumatic conveying frequency regulation method, device, electronic equipment, and storage medium. Background Technology

[0002] Pneumatic ash removal systems are a common method for conveying ash and slag in power plant environmental dust removal systems. They use the energy of compressed air to transport the fly ash collected in the dust collector to the ash storage silo. Existing pneumatic ash removal systems typically adopt a time-controlled operation mode, that is, a fixed cycle is preset, and the system repeats the "wait-feed-convey-reset" work cycle according to the cycle.

[0003] The specific operation process is as follows: The system waits, and the feed valve and exhaust valve remain closed; when the cycle timer expires, the feed valve and exhaust valve open, and the silo pump starts feeding; when the feed valve opening time expires or the material level in the silo pump is triggered, the feed valve and exhaust valve close; the air inlet valve opens to transport the ash to the ash silo; after the pressure in the conveying pipeline drops to the set value, indicating that the ash has been transported, the air inlet valve and discharge valve close; the system resets and waits for the next cycle.

[0004] Under this control method, the shorter the set cycle time, the more cycles per unit time, and the greater the system output; conversely, the longer the cycle time, the smaller the output. The cycle time value is usually set and adjusted by operators on the control interface based on actual conditions. However, changes in power plant unit load and coal quality lead to frequent variations in ash production, requiring operators to closely monitor and adjust the cycle time value to match the current ash production. In reality, however, most power plants lack dedicated ash removal system operators, making real-time adjustments impossible. Consequently, the common practice is to estimate a smaller cycle time value based on high-output operating conditions and use it as a fixed setpoint to ensure timely delivery of all generated ash.

[0005] While this fixed high-frequency conveying method can meet the actual needs, it also has some shortcomings: even when the ash production is small, it will still maintain frequent and large-scale conveying, resulting in a huge waste of energy, increased power consumption, and increased wear. Summary of the Invention

[0006] This application provides a pneumatic conveying frequency adjustment method, device, electronic equipment, and storage medium for automatically adjusting the pneumatic conveying frequency to reduce energy consumption and lower the workload of operators.

[0007] In a first aspect, this application provides a method for regulating the frequency of pneumatic conveying, the method comprising: Obtain the system parameters of the target pneumatic ash removal system, input the system parameters into a preset parameter empirical model, and output the initial conveying parameters; The pneumatic ash removal system is started according to the initial conveying parameters to complete one conveying cycle, and the initial conveying pressure change curve of the conveying pressure over time during the cycle is obtained. Based on the initial conveying pressure change curve, the initial conveying pressure parameter is determined, and the cycle state is determined according to the initial conveying pressure parameter, the initial conveying parameter and the preset cycle period threshold. The conveying parameter of the next cycle process is adjusted according to the cycle state to obtain the target conveying parameter.

[0008] In the above technical solution, the system parameters of the target pneumatic ash removal system are first obtained, such as pipeline length, pipe diameter, number and volume of conveying pumps, and material characteristics. These system parameters are then input into a pre-established empirical parameter model, outputting a set of initial conveying parameters. The system is then started according to these initial conveying parameters (such as cycle time and feed valve opening time) to complete a full conveying cycle, and the change curve of conveying pressure over time during this cycle is recorded, i.e., the initial conveying pressure change curve. Next, based on the obtained initial conveying pressure change curve, initial conveying pressure parameters reflecting the conveying situation are determined, such as the total conveying cycle time and the time during which the conveying pressure exceeds the standard set value. Simultaneously, combined with the previous initial conveying parameters and pre-set cycle thresholds (such as upper and lower limits of total conveying cycle time and upper and lower limits of the percentage of time exceeding the pressure limit), the state of this conveying cycle is judged, such as whether it belongs to different states like high conveying risk, low efficiency, or normal conveying.

[0009] Based on the determined cycle status, the parameters for the next conveying cycle (such as cycle time, feed valve opening time, etc.) are adjusted accordingly to obtain new target conveying parameters. For example, if the conveying risk is high (cycle time is too long or pressure exceeds the limit for too long), the cycle time and feed time of the next cycle are appropriately shortened; if the conveying efficiency is low (cycle time is too short or pressure never exceeds the limit), the parameter values ​​of the next cycle are appropriately extended; if the conveying status is normal, the parameters remain unchanged.

[0010] In this way, the system can dynamically and adaptively adjust the conveying parameters for the next cycle based on the actual conditions of each conveying cycle. This ensures that the entire conveying process remains in an optimal, efficient, and safe state, avoiding the waste or risks that may result from fixed high-frequency or low-frequency conveying settings. Compared to manual experience-based settings, this adaptive adjustment method can more accurately and promptly adapt the conveying frequency and output to actual needs. While meeting conveying requirements, it also reduces energy consumption and extends equipment lifespan, thereby achieving energy conservation.

[0011] A second aspect of this application provides a pneumatic conveying frequency regulating device, comprising: Data acquisition module 1 is used to acquire the system parameters of the target pneumatic ash removal system, input the system parameters into a preset parameter empirical model, and output the initial conveying parameters; The initial conveying pressure change curve acquisition module 2 is used to start the pneumatic ash removal system according to the initial conveying parameters to complete one conveying cycle, and to acquire the initial conveying pressure change curve of the conveying pressure changing with time during the cycle. The parameter adjustment module 3 is used to determine the initial conveying pressure parameter based on the initial conveying pressure change curve, and determine the cycle state according to the initial conveying pressure parameter, the initial conveying parameter and the preset cycle period threshold, and adjust the conveying parameter of the next cycle process according to the cycle state to obtain the target conveying parameter.

[0012] A third aspect of this application provides a computer storage medium storing a plurality of instructions adapted for loading by a processor and executing the method steps described above.

[0013] A fourth aspect of this application provides an electronic device, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to execute the above-described method steps.

[0014] In summary, one or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: 1. This application first obtains the system parameters of the target pneumatic ash removal system, such as pipeline length, pipe diameter, number and volume of conveying pumps, and material characteristics. These system parameters are then input into a pre-established empirical parameter model, outputting a set of initial conveying parameters. The system is then started according to these initial conveying parameters (such as cycle time and feed valve opening time) to complete a full conveying cycle, and the change curve of conveying pressure over time during this cycle is recorded, i.e., the initial conveying pressure change curve. Next, based on the obtained initial conveying pressure change curve, initial conveying pressure parameters reflecting the conveying situation are determined, such as the total conveying cycle time and the time during which the conveying pressure exceeds the standard set value. Simultaneously, combined with the previous initial conveying parameters and pre-set cycle thresholds (such as upper and lower limits of total conveying cycle time and upper and lower limits of the percentage of time exceeding the pressure limit), the state of this conveying cycle is judged, such as whether it belongs to different states like high conveying risk, low efficiency, or normal conveying.

[0015] Based on the determined cycle status, the parameters for the next conveying cycle (such as cycle time, feed valve opening time, etc.) are adjusted accordingly to obtain new target conveying parameters. For example, if the conveying risk is high (cycle time is too long or pressure exceeds the limit for too long), the cycle time and feed time of the next cycle are appropriately shortened; if the conveying efficiency is low (cycle time is too short or pressure never exceeds the limit), the parameter values ​​of the next cycle are appropriately extended; if the conveying status is normal, the parameters remain unchanged.

[0016] In this way, the system can dynamically and adaptively adjust the conveying parameters for the next cycle based on the actual conditions of each conveying cycle. This ensures that the entire conveying process remains in an optimal, efficient, and safe state, avoiding the waste or risks that might result from fixed high or low output settings. Compared to manual experience-based settings, this adaptive adjustment method can more accurately and promptly adapt the conveying frequency and output to actual needs. While meeting conveying requirements, it also reduces energy consumption and extends equipment lifespan, thereby achieving energy conservation.

[0017] 2. Before obtaining the initial delivery parameters, this implementation method first acquires sample data of optimal delivery parameters under different system parameter conditions. This sample data can come from statistical analysis of actual operating data or from the optimal parameter combinations obtained through trial operation. Then, these sample data are classified according to their corresponding system parameter information (such as pipeline length, pipe diameter, etc.), grouping sample data with the same system parameters into one category. The purpose of this step is to group data with inherent similarity, preparing for subsequent data processing. Next, for each category of sample data with the same system parameters, the least squares method and multinomial regression algorithm are used to fit the data, obtaining the fitted optimal delivery parameter sample data. Through fitting, the inherent mathematical patterns of the sample data can be discovered and described by a fitted curve or function, thereby removing noise and outliers from the original data and improving the accuracy and reliability of the data.

[0018] Finally, based on these fitted optimal transport parameter sample data, a pre-defined parameter empirical model is constructed. This model is essentially a mapping relationship that takes system parameters as input and outputs the corresponding optimal transport parameter combination, providing a reference for subsequent actual operation.

[0019] The parameter experience model constructed using the above method effectively integrates historical operational data and expert experience, while also overcoming the blindness and uncertainty inherent in relying solely on experience. Based on a large amount of real-world data, this model possesses strong universal applicability and can provide relatively accurate preset values ​​for initial delivery parameters under different system parameter conditions.

[0020] 3. In the design and optimization of the pneumatic conveying system, this application determines the initial total conveying cycle time and the time when the conveying pressure exceeds the standard set value based on the initial conveying pressure change curve, which can achieve a deep understanding and effective management of the system's operating characteristics. Attached Figure Description

[0021] Figure 1 An architectural diagram of a pneumatic conveying frequency adjustment method provided in an embodiment of this application; Figure 2 A schematic diagram of a pneumatic conveying frequency adjustment device provided in this application embodiment; Figure 3 A schematic diagram of the structure of an electronic device provided in this application; Figure 4 This application provides an initial delivery pressure variation curve. Detailed Implementation

[0022] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0023] In the description of the embodiments of this application, the words "for example" or "for instance" are used to indicate examples, illustrations, or explanations. Any embodiment or design that is described as "for example" or "for instance" in the embodiments of this application should not be construed as being more preferred or advantageous than other embodiments or design options. Rather, the use of the words "for example" or "for instance" is intended to present the relevant concepts in a specific manner.

[0024] In the description of the embodiments of this application, the term "multiple" means two or more. For example, multiple devices refer to two or more devices, and multiple screen terminals refer to two or more screen terminals. Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the indicated technical features. Thus, a feature defined with "first" or "second" may explicitly or implicitly include one or more of that feature. The terms "comprising," "including," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized.

[0025] To facilitate understanding of the methods and apparatus provided in the embodiments of this application, the background of the embodiments of this application will be introduced before introducing the embodiments of this application.

[0026] Pneumatic dust removal systems are a key dust removal component in power plant environmental protection facilities. They primarily use compressed air to transport fly ash collected in the dust collector to the ash storage silo. In traditional operation modes, these systems typically employ a fixed-time controlled cyclical operation strategy. That is, by pre-setting a fixed cycle, the system executes the "wait-feed-convey-reset" operation process according to this cycle.

[0027] Specifically, during the "waiting" phase, the system keeps the feed valve and exhaust valve closed. When the cycle timer is triggered, the feed valve and exhaust valve open, and the silo pump starts feeding material. The feed valve closes after the set opening time ends or the material level in the silo pump reaches the target level, and then the air inlet valve opens to begin the ash conveying process. When the pressure in the conveying pipeline drops to a preset level, it indicates that the ash conveying is complete. At this point, the air inlet valve and discharge valve close, and the system resets, ready to enter the next cycle.

[0028] In this control mode, the length of the cycle directly affects the system's output capacity: the shorter the cycle, the more cycles per unit time, and the stronger the system's output capacity. Normally, the cycle setpoint needs to be adjusted by operators based on the power plant's actual operating conditions. However, changes in power plant unit load and coal quality can cause frequent fluctuations in ash production, requiring operators to continuously monitor and adjust the cycle in real time to adapt to the current ash production. In reality, however, most power plants lack dedicated ash removal system operators, making precise control impossible. A common practice is to set a longer cycle to ensure that all ash and slag can be processed promptly even during peak ash production.

[0029] After the background introduction above, those skilled in the art can understand the problems existing in the prior art. The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0030] Based on the aforementioned background technology, further please refer to... Figure 1 , Figure 1 This application provides an architecture diagram of a pneumatic conveying frequency adjustment method. This device can be implemented using a computer program or run as a standalone utility application. Specifically, in this application embodiment, the method can be applied to a controller, but it can also be applied to electronic devices such as servers. A pneumatic conveying frequency adjustment method includes the following steps: S101, Obtain the system parameters of the target pneumatic ash removal system, input the system parameters into a preset parameter empirical model, and output the initial conveying parameters; Specifically, before obtaining the initial delivery parameters, this implementation method first acquires sample data of optimal delivery parameters under different system parameter conditions. This sample data can come from statistical analysis of actual operating data or from the optimal parameter combinations obtained through trial runs. Then, these sample data are classified according to their corresponding system parameter information (such as pipeline length, pipe diameter, etc.), grouping sample data with the same system parameters into one category. The purpose of this step is to group data with inherent similarity, preparing for subsequent data processing. Next, for each category of sample data with the same system parameters, the least squares method and multinomial regression algorithm are used to fit the data, obtaining the fitted optimal delivery parameter sample data. Through fitting, the inherent mathematical patterns in the sample data can be discovered and described by a fitted curve or function, thereby removing noise and outliers from the original data and improving the accuracy and reliability of the data.

[0031] Finally, based on these fitted optimal transport parameter sample data, a pre-defined parameter empirical model is constructed. This model is essentially a mapping relationship that takes system parameters as input and outputs the corresponding optimal transport parameter combination, providing a reference for subsequent actual operation.

[0032] The parameter experience model constructed using the above method effectively integrates historical operational data and expert experience, while also overcoming the blindness and uncertainty inherent in relying solely on experience. Based on a large amount of real-world data, this model possesses strong universal applicability and can provide relatively accurate preset values ​​for initial delivery parameters under different system parameter conditions.

[0033] In actual delivery, adjusting the preset initial parameters as a benchmark value enables the system to quickly enter the optimal operating state region, greatly shortening the "blindly seeking optimization" process and improving the system's adaptability and response speed. Furthermore, because the model incorporates mathematical principles, it possesses strong robustness and avoids the arbitrariness that may arise from human experience-based judgment.

[0034] Based on the above embodiments, as an optional embodiment, before inputting the system parameters into a preset parameter empirical model and outputting the initial transmission parameters, the following steps are included: S201, Obtain sample data of optimal conveying parameters for pneumatic ash removal systems with different system parameters; Specifically, before constructing a parametric empirical model, it is necessary to first obtain sample data of the optimal conveying parameters of the pneumatic ash removal system under different system parameter conditions. This step is necessary because the establishment of a parametric empirical model requires a large amount of real and reliable historical data as a foundation. Only by obtaining sample data with sufficient coverage can the model have strong general applicability.

[0035] When implementing this step, it is first necessary to determine the main system parameters of the pneumatic ash removal system, such as the total pipeline length, pipe diameter, number and volume of conveying pumps, and material characteristics. Then, optimal conveying parameter sample data for the pneumatic ash removal system under different parameter combinations should be obtained through various methods. This sample data can come from statistical analysis of historical data from long-term actual operation, or it can be obtained through targeted trial operation tests.

[0036] Specifically, for actual operational data, operational records over a period of time (such as six months or one year) can be exported from the field data acquisition system, including system parameters, conveying parameter settings, and pressure change curves for each period. By analyzing this data, the safest and most efficient parameter combination for the conveying process under various operating conditions can be identified, which is the optimal conveying parameter sample data.

[0037] For trial operation test data, different combinations of conveying parameters can be manually set for different system parameters (such as pipeline length, pipe diameter, etc.), the ash removal system can be started and the pressure change curves recorded. By analyzing and comparing multiple sets of data, the optimal combination of conveying parameters that can meet both safety and efficiency under various parameters can be identified as sample data.

[0038] S202, classify the optimal conveying parameter sample data of the pneumatic ash removal system with different system parameters based on the system parameter information, and group the optimal conveying parameter sample data with the same system parameters into one category; Specifically, after obtaining sample data of optimal delivery parameters under different system parameter conditions, these sample data need to be classified according to the system parameter information, grouping sample data with the same system parameters into one category. This step is necessary because constructing an empirical parameter model requires grouping data with inherent similarity to avoid mutual interference between different data, thereby improving the accuracy of subsequent data processing.

[0039] When implementing this step, it is first necessary to determine the main system parameters that affect the conveying effect of the pneumatic ash removal system, such as the total pipeline length, pipe diameter, number and volume of conveying pumps, and material characteristics. These parameters not only affect the initial conveying parameter settings but also have a significant impact on the actual conveying pressure changes.

[0040] Next, all the acquired optimal delivery parameter sample data are traversed to extract system parameter information, such as pipeline length of 500 meters and pipe diameter of 200 millimeters. Then, based on different combinations of these system parameter information, sample data with exactly the same parameters are grouped into one category.

[0041] After obtaining optimal delivery parameter sample data under different system parameter conditions, these sample data need to be classified according to the system parameter information, grouping sample data with the same system parameters into one category. This step is necessary because constructing a parameter empirical model requires grouping data with inherent similarity to avoid mutual interference between different data, thereby improving the accuracy of subsequent data processing.

[0042] When implementing this step, it is first necessary to determine the main system parameters that affect the conveying effect of the pneumatic ash removal system, such as the total pipeline length, pipe diameter, number and volume of conveying pumps, and material characteristics. These parameters not only affect the initial conveying parameter settings but also have a significant impact on the actual conveying pressure changes.

[0043] Next, all the acquired optimal delivery parameter sample data are traversed to extract system parameter information, such as pipeline length of 500 meters and pipe diameter of 200 millimeters. Then, based on different combinations of these system parameter information, sample data with exactly the same parameters are grouped into one category.

[0044] S203, the optimal transport parameter sample data with the same system parameters are fitted using the least squares method and the multinomial regression algorithm to obtain the fitted optimal transport parameter sample data; Specifically, after classifying the optimal delivery parameter sample data according to system parameters, it is necessary to perform fitting processing on the sample data of each class with the same system parameters. The fitted optimal delivery parameter sample data is obtained through the least squares method and multinomial regression algorithm. This step is necessary because the original sample data often contains some noise and outliers, and using it directly will affect the accuracy of subsequent models. Fitting is needed to uncover the inherent essential patterns in the data.

[0045] S204 constructs the preset parameter empirical model based on the sample data of the fitted transmission parameters.

[0046] Specifically, after completing the fitting process of sample data for optimal delivery parameters of different categories, a pre-defined empirical model of parameters can be constructed based on these fitting results. The reason for constructing this model is that it can express the mapping relationship between system parameters and optimal delivery parameters in the form of mathematical functions or curves, providing an important basis for obtaining reasonable initial delivery parameters in actual operation.

[0047] When implementing this step, the various fitted functions or curves obtained previously need to be organized and constructed into a complete parametric empirical model. This model is actually composed of multiple sub-models, each corresponding to a specific set of system parameters, describing the functional relationship between the optimal delivery parameters and the system parameters under those parameter conditions.

[0048] S102, the pneumatic ash removal system is started according to the initial conveying parameters to complete one conveying cycle, and the initial conveying pressure change curve of the conveying pressure changing with time during the cycle is obtained; For details, please refer to Figure 4 According to the above scheme, after obtaining the initial delivery parameters, the system needs to be started according to these parameter values ​​to complete a full delivery cycle. Simultaneously, the pressure change curve within the pipeline over time during this cycle, i.e., the initial delivery pressure change curve, needs to be obtained. This step is necessary because although the initial delivery parameters are predicted based on an empirical model, the actual operating results may deviate from theoretical expectations due to various unknown interference factors. Only by obtaining real pressure change data through actual operation can the actual performance of this parameter combination under specific system conditions be reflected.

[0049] When implementing this step, the initial conveying parameters, such as cycle time and feed valve opening time, need to be input into the control system first. Then, the pneumatic ash removal system is started to perform the normal "wait-feed-convey-reset" work cycle. At the same time, a data acquisition module needs to be configured to sample and record the pressure value in the pipeline in real time, and combine the pressure value with the corresponding time information to finally form the complete pressure-time change curve of the conveying cycle.

[0050] By obtaining the initial conveying pressure variation curve, the operating performance of the conveying parameter combination under actual working conditions can be clearly and intuitively reflected. For example, if the curve exceeds the pressure standard for a long time, it indicates a higher conveying risk; if the curve never exceeds the pressure standard, it indicates lower conveying efficiency. This provides crucial data support for subsequent judgment of the operating status and adjustment of the conveying parameters.

[0051] It should be noted that the pneumatic ash removal system is an environmental protection equipment system that uses the kinetic energy of compressed air to transport the fly ash collected by the dust collector to the ash storage silo.

[0052] Conveying parameters: Parameters that control the conveying process of the pneumatic ash removal system, such as cycle time and feed valve opening time.

[0053] Initial delivery parameters: A combination of parameters used to start the first delivery cycle, obtained based on system parameters and parameter experience models.

[0054] Delivery pressure change curve: A curve showing the change in pipeline pressure over time during the delivery cycle.

[0055] Initial conveying pressure variation curve: The pressure-time curve of the first conveying cycle obtained based on the initial conveying parameters.

[0056] S103, based on the initial conveying pressure change curve, determine the initial conveying pressure parameter, and determine the cycle state according to the initial conveying pressure parameter, the initial conveying parameter and the preset cycle period threshold, and adjust the conveying parameter of the next cycle process according to the cycle state to obtain the target conveying parameter; Specifically, following the steps described above, after obtaining the initial conveying pressure change curve, it is necessary to determine a set of initial conveying pressure parameters reflecting the conveying status of this conveying operation based on the curve. This step is necessary because it is difficult to judge the conveying status directly from the pressure change curve; it is necessary to extract key data indicators as a basis for evaluation.

[0057] When implementing this step, the initial conveying pressure change curve can be analyzed to calculate parameters such as total conveying time, the percentage of time the pressure exceeds the standard value, peak pressure, and average pressure. These parameters can reflect the actual situation of the conveying process from different perspectives. For example, a long total conveying time may indicate a risk of blockage; if the pressure remains within the standard range, it indicates low conveying efficiency.

[0058] Next, the specific status of this conveying operation needs to be evaluated by combining the initial conveying parameters obtained earlier (such as cycle time) and a set of pre-set cycle thresholds. For example, if the total conveying time exceeds the upper limit and the percentage of time with pressure exceeding the limit also exceeds the upper limit, it can be determined that this conveying operation has a significant risk; if the total conveying time is below the lower limit and the pressure never exceeds the limit, it can be determined that the conveying efficiency is low; if these parameter values ​​are all within a reasonable range, it is determined to be a normal conveying operation.

[0059] Once the cycle state of this conveying operation is determined using the above method, the parameters for the next conveying operation can be adjusted according to the corresponding state to obtain new target conveying parameters. For example, for a high-risk state, it is necessary to shorten the next cycle time and reduce the feeding time to reduce the risk; for a low-efficiency state, it is necessary to extend the relevant parameter values ​​to increase the output of the next operation; for a normal state, the parameters can be kept unchanged.

[0060] It should be noted that the initial conveying pressure parameters are pressure-related parameters used to evaluate the conveying status based on the analysis of the initial conveying pressure change curve, such as the total conveying time and the percentage of time the pressure exceeds the limit.

[0061] Cycle threshold: A pre-set evaluation standard for judging the conveying status, such as the upper and lower limits of total conveying time, the upper and lower limits of the percentage of time exceeding the pressure limit, etc.

[0062] Cycle status: The state of the current conveying process determined based on initial parameters and thresholds, such as normal conveying, high conveying risk, low conveying efficiency, etc.

[0063] Target conveying parameters: A new combination of conveying parameters obtained by adjusting the next conveying based on the cycle status.

[0064] Based on the above embodiments, as an optional embodiment, the initial conveying pressure parameter includes: the initial total conveying cycle time. The time when the conveying pressure exceeds the standard setting value Based on the initial delivery pressure variation curve, the initial delivery pressure parameters are determined, including: S301, based on the initial conveying pressure change curve, determine the first time point at the first zero-point pressure and the second time point at the second zero-point pressure, and based on the first time point and the second time point, determine the initial total conveying cycle time. ; S302, based on the preset standard pressure value and the initial delivery pressure change curve, determine the time when the delivery pressure exceeds the standard set value. ; S303, the initial total conveying cycle time and the time during which the delivery pressure exceeds the standard set value This serves as the initial delivery pressure parameter.

[0065] Specifically, following the steps described above, after obtaining the initial conveying pressure change curve, it is necessary to extract two key parameters from the curve: the initial total conveying cycle time and the time when the conveying pressure exceeds the standard set value. These two parameters are used as the initial conveying pressure parameters. The reason for determining these two parameters is that they reflect the safety and efficiency of the conveying process from the perspectives of conveying cycle time and conveying pressure, respectively.

[0066] When implementing step S301, two zero-pressure points need to be found on the initial conveying pressure change curve. The first zero-pressure point corresponds to the start of the conveying process, and the second zero-pressure point corresponds to the end of the conveying process. These time points are recorded as the first time point and the second time point, respectively. Then, the difference between these two time points is calculated to determine the initial total conveying cycle time for this conveying operation. A longer total conveying time may indicate risks such as blockages; conversely, a shorter total conveying time may indicate lower efficiency.

[0067] When implementing step S302, a standard pressure value needs to be preset as a threshold for judging the conveying status. Then, on the initial conveying pressure change curve, the sum of all time periods when the pressure value exceeds the standard value is calculated; this is the time when the conveying pressure exceeds the standard setting value. The longer this time, the more times the conveying operation is at risk, and the higher the level of risk.

[0068] Finally, in step S303, the initial total conveying cycle time and the time when the conveying pressure exceeds the standard set value, calculated above, are taken as two components of the initial conveying pressure parameter.

[0069] By analyzing the initial conveying pressure change curve and extracting these two parameters, we can avoid directly judging the entire complex curve and instead evaluate based on quantitative indicators, making the assessment more objective and accurate. Furthermore, these two parameters encompass two key factors: time and pressure, providing a comprehensive reflection of the conveying status.

[0070] It should be noted that the initial delivery pressure change curve is the curve showing the change in pipeline pressure over time when a complete delivery cycle is run based on the initial delivery parameters.

[0071] Zero pressure: The state in which the pressure in the pipeline is zero at the beginning and end of the delivery cycle.

[0072] First time point and second time point: These correspond to the start and end times of the transport cycle.

[0073] Initial total transport cycle time: The total time taken for a complete transport cycle from start to finish.

[0074] Standard pressure value: A preset pressure threshold used to determine the delivery status.

[0075] Time during which the delivery pressure exceeds the standard set value: The cumulative time during which the pipeline pressure is higher than the standard pressure value in a delivery cycle.

[0076] Initial conveying pressure parameters: Indicator parameters used to evaluate the conveying status based on the analysis of the initial conveying pressure change curve.

[0077] Based on the above embodiments, as an optional embodiment, the initial delivery parameters include the initial cycle time. and initial feed valve opening time value The preset cycle threshold includes a preset value m, a preset value n, and a maximum threshold for the total conveying cycle time. Total transport cycle time lower limit threshold Maximum value of conveying cycle Minimum value of conveying cycle Maximum opening time of feed valve Minimum opening time of feed valve The target delivery parameters include the target cycle time. and target feed valve opening time value Wherein the preset value m is greater than the preset value n; the step of determining the cycle state based on the initial conveying pressure parameter, the initial conveying parameter, and the preset cycle threshold, and adjusting the conveying parameter for the next cycle based on the cycle state to obtain the target conveying parameter includes: When the initial total conveying cycle time Greater than the upper limit threshold of the total delivery cycle time At that time, or for a period of time when the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value is greater than the preset value m, then the cycle state is determined to be of high transport risk. When the cycle state is characterized by high transport risk, and the initial cycle time is... Greater than the minimum value of the conveying cycle period Then, based on the preset cycle time coefficient For the initial cycle time Adjustments are made to obtain the target cycle time. When the cycle state is characterized by high conveying risk, and the initial feed valve opening time value is... Greater than the minimum value of the conveying cycle period According to the preset opening time coefficient The initial feed valve opening time value Adjustments were made to obtain the target feed valve opening time value. The target cycle time = - The target feed valve opening time value = - ; When the initial total conveying cycle time Less than the lower limit threshold of the total delivery cycle time At that time, or for a period of time when the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value is less than the preset value n, then the cycle state is determined to be low conveying efficiency; When the cycle state is characterized by low conveying efficiency, and the initial cycle time... Less than the maximum value of the conveying cycle period Then, according to the preset cycle time coefficient For the initial cycle time Adjustments are made to obtain the target cycle time. When the cycle state is characterized by low conveying efficiency and a low initial feed valve opening time value... Less than the maximum opening time of the feed valve According to the preset opening time coefficient The initial feed valve opening time value Adjustments were made to obtain the target feed valve opening time value. The target cycle time = + The target feed valve opening time value = + ; When the initial total conveying cycle time Greater than the preset lower limit threshold for total conveying cycle time Less than the preset upper limit threshold for total delivery cycle time At the same time, the time during which the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value n is greater than the preset value n but less than the preset value m, then the cycle state is determined to be a normal conveying state. When the cycle state is the normal conveying state, the target cycle time is... Equal to the initial cycle time The target feed valve opening time value Initial feed valve opening time value .

[0078] Specifically, after obtaining the initial conveying pressure and initial conveying parameters, the current cycle status is determined by comparing them with preset thresholds. When the initial total conveying cycle time exceeds the upper limit threshold, or the percentage of time the conveying pressure exceeds the preset value 'm', it indicates a higher risk in the current cycle, potentially due to excessive ash accumulation in the ash hopper or blockage in the conveying pipeline. In this case, if the initial cycle time is greater than the minimum conveying cycle time, it is shortened according to a preset cycle time coefficient to obtain the target cycle time. Simultaneously, if the initial feed valve opening time is also greater than the minimum conveying cycle time, it is shortened according to a preset start time coefficient to obtain the target feed valve opening time. By reducing the cycle time and feed time, the ash conveying frequency can be increased, reducing the risk of ash accumulation.

[0079] Conversely, when the initial total conveying cycle time is less than the lower limit threshold, or the percentage of time the conveying pressure exceeds the limit is less than the preset value n, it indicates that the current conveying efficiency is low and the conveying capacity is excessive. In this case, if the initial cycle time is less than the maximum conveying cycle time, it is appropriately extended according to the preset cycle time coefficient to increase the amount of ash conveyed per cycle. Similarly, if the initial feed valve opening time is also less than the maximum feed valve opening time, it is extended according to the preset start time coefficient. By increasing the cycle time and feeding time, the conveying frequency can be reduced, saving energy.

[0080] Finally, when the initial total conveying cycle time is between the upper and lower thresholds, and the percentage of time the conveying pressure exceeds the limit is also between two preset values, it indicates that the current conveying state is normal, all parameters are within a reasonable range, and the system is operating smoothly. At this time, it is only necessary to maintain the existing conveying parameters unchanged, with the target cycle time and target feed valve opening time values ​​equal to the original initial values.

[0081] Based on the above embodiments, as an optional embodiment, the method of determining the initial conveying pressure parameter based on the initial conveying pressure change curve, determining the cycle state according to the initial conveying pressure parameter, the initial conveying parameter, and a preset cycle period threshold, and adjusting the conveying parameter for the next cycle according to the cycle state to obtain the target conveying parameter, further includes: When the cycle state is characterized by high transport risk, and the initial cycle time is... Greater than the minimum value of the conveying cycle period The target cycle time = - ; When the cycle state is characterized by high conveying risk, and the initial feed valve opening time value is... Greater than the minimum value of the conveying cycle period The target feed valve opening time value = - ; When the cycle state is characterized by low conveying efficiency, and the initial cycle time... Less than the maximum value of the conveying cycle period When, the target cycle time = + ; When the cycle state is characterized by low conveying efficiency and the initial feed valve opening time value... Less than the maximum opening time of the feed valve The target feed valve opening time value = + .

[0082] Specifically, the four newly added threshold parameters supplement the previous upper and lower limits of total conveying cycle time and conveying pressure ratio thresholds, further limiting the reasonable adjustment range of conveying parameters.

[0083] After determining the cycle state as "high transport risk" or "low transport efficiency", in addition to adjusting the target parameters according to the preset adjustment coefficient, it is also necessary to compare the adjusted target value with these four extreme thresholds to ensure that the adjustment result does not exceed a reasonable range.

[0084] Specifically, when the cycle status is determined to be "high conveying risk," the target cycle time and target feed valve opening time are reduced based on a preset adjustment coefficient. However, if the reduced target value is less than the minimum threshold, it needs to be corrected to the corresponding minimum threshold. This avoids situations where the target value is too small and the conveying process becomes abnormal due to excessive reduction.

[0085] Conversely, when the cycle state is determined to be "low conveying efficiency," the target cycle time and feeding time are increased according to a preset adjustment coefficient. However, if the increased target value exceeds the maximum threshold, it needs to be adjusted to the corresponding maximum threshold. This avoids situations where the target value is too large and energy is wasted due to excessive expansion.

[0086] By comparing and correcting the adjusted target value with the maximum and minimum thresholds, it can be ensured that the adjustment result always remains within a reasonable and safe range, preventing parameter anomalies and guaranteeing the reliable and stable operation of the system.

[0087] It should be noted that the minimum conveying cycle time is a pre-set lower limit that the conveying cycle time cannot be lower than, ensuring that the conveying process has sufficient time.

[0088] Maximum conveying cycle time: A preset upper limit that the conveying cycle time cannot exceed, to avoid wasting energy due to excessive time.

[0089] Minimum feed valve opening time: A preset lower limit for the feed valve opening time to ensure sufficient feed volume.

[0090] Maximum feed valve opening time: A preset upper limit for the feed valve opening time to prevent excessive feeding from causing blockage.

[0091] Based on the above embodiments, as an optional embodiment, before determining the initial conveying pressure parameter based on the initial conveying pressure change curve, and determining the cycle state according to the initial conveying pressure parameter, the initial conveying parameter, and a preset cycle period threshold, the following further step is taken: S401, acquire the historical operating data of the target pneumatic ash removal system, and perform data analysis based on the historical operating data to obtain the data analysis results; Specifically, the first step is to obtain the operational log data of the target pneumatic ash removal system over a past period, mainly including the settings of various conveying parameters, real-time pressure change curves, and fault alarm records. Then, data cleaning and preprocessing steps are performed on this data to construct a standardized analysis dataset. Next, data mining, machine learning, and other techniques can be used to conduct in-depth analysis of this historical operational data. For example, cluster analysis can be used to explore conveying pressure patterns under different operating conditions; association rule discovery can be used to uncover the intrinsic relationship between conveying parameters and pressure changes; and time series pattern recognition can be used to identify pressure change characteristic sequences that lead to faults or inefficiencies.

[0092] S402, Based on the data analysis results, the cycle period threshold is set to obtain the preset cycle period threshold.

[0093] Specifically, knowledge rules or patterns related to the cycle time are extracted from the data analysis results. For example, a reasonable total cycle time range for safe and efficient delivery under different parameter combinations can be obtained; or the abnormal pressure ratio threshold range corresponding to a certain common fault mode can be obtained. This knowledge is often implicit in complex historical data and needs to be automatically discovered through data analysis algorithms. Secondly, multiple rules or patterns can be merged to obtain the initial value range of preset cycle time thresholds corresponding to the current system's actual state. For example, the safe and efficient range and the fault risk range can be merged to determine a reasonable upper and lower limit threshold range. Thirdly, the above rough range can be further optimized by introducing domain knowledge, such as adjusting the threshold accuracy based on expert experience or incorporating theoretical model calculation results. Finally, according to actual needs, a set of specific preset cycle time thresholds are determined from the optimized range for subsequent steps, including the upper and lower limits of the total delivery cycle time and the delivery pressure ratio threshold.

[0094] This method of dynamically setting thresholds based on data analysis results not only fully incorporates the actual historical characteristics of the system's operation and better reflects its inherent transmission patterns, but also possesses a certain degree of adaptability, dynamically adjusting the threshold range according to changes in system state. This "threshold self-driven" approach effectively avoids the subjectivity and lag caused by manual settings, making the adaptive control strategy more precise and effective.

[0095] Please see Figure 2 , Figure 2 A pneumatic conveying frequency adjustment device architecture diagram provided in this application embodiment, the pneumatic conveying frequency adjustment device may include: Data acquisition module 1 is used to acquire the system parameters of the target pneumatic ash removal system, input the system parameters into a preset parameter empirical model, and output the initial conveying parameters; The initial conveying pressure change curve acquisition module 2 is used to start the pneumatic ash removal system according to the initial conveying parameters to complete one conveying cycle, and to acquire the initial conveying pressure change curve of the conveying pressure changing with time during the cycle. The parameter adjustment module 3 is used to determine the initial conveying pressure parameter based on the initial conveying pressure change curve, and determine the cycle state according to the initial conveying pressure parameter, the initial conveying parameter and the preset cycle period threshold, and adjust the conveying parameter of the next cycle process according to the cycle state to obtain the target conveying parameter.

[0096] Please refer to Figure 3 This application also discloses an electronic device. Figure 3 This is a schematic diagram of the structure of an electronic device disclosed in an embodiment of this application. The electronic device 300 may include: at least one processor 301, at least one network interface 304, a user interface 303, a memory 305, and at least one communication bus 302.

[0097] The communication bus 302 is used to enable communication between these components.

[0098] The user interface 303 may include a display screen and a camera. Optionally, the user interface 303 may also include a standard wired interface and a wireless interface.

[0099] The network interface 304 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface).

[0100] The processor 301 may include one or more processing cores. The processor 301 connects to various parts of the server using various interfaces and lines, and performs various server functions and processes data by running or executing instructions, programs, code sets, or instruction sets stored in the memory 305, and by calling data stored in the memory 305. Optionally, the processor 301 may be implemented using at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), or Programmable Logic Array (PLA). The processor 301 may integrate one or a combination of several of the following: Central Processing Unit (CPU), Graphics Processing Unit (GPU), and modem. The CPU primarily handles the operating system, user interface, and applications; the GPU is responsible for rendering and drawing the content required for display; and the modem handles wireless communication. It is understood that the modem may also be implemented as a separate chip without being integrated into the processor 301.

[0101] The memory 305 may include random access memory (RAM) or read-only memory. Optionally, the memory 305 may include a non-transitory computer-readable storage medium. The memory 305 may be used to store instructions, programs, code, code sets, or instruction sets. The memory 305 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the above-described method embodiments, etc.; the data storage area may store data involved in the above-described method embodiments, etc. Optionally, the memory 305 may also be at least one storage device located remotely from the aforementioned processor 301. (Refer to...) Figure 3 The memory 305, which serves as a computer storage medium, may include an operating device, a network communication module, a user interface module, and an application program for adjusting the pneumatic conveying frequency.

[0102] exist Figure 3In the illustrated electronic device 300, the user interface 303 is mainly used to provide an input interface for the user and acquire user input data; while the processor 301 can be used to call the pneumatic conveying frequency adjustment application stored in the memory 305. When executed by one or more processors 301, the electronic device 300 performs one or more methods as described in the above embodiments. It should be noted that, for the foregoing method embodiments, for the sake of simplicity, they are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions, because according to this application, some steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also understand that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily necessary for this application. In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0103] In the various embodiments provided in this application, it should be understood that the disclosed apparatus can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another apparatus, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some service interface; the indirect coupling or communication connection between apparatuses or units may be electrical or other forms.

[0104] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0105] This application also provides a computer storage medium that can store multiple instructions, which are adapted to be loaded and executed by a processor as described above. Figure 1 The pneumatic conveying frequency adjustment method of the illustrated embodiment can be found in the following document for details: Figure 1 The specific details of the illustrated embodiments will not be elaborated here.

[0106] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0107] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage device (CMD). Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a memory and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned memory includes various media capable of storing program code, such as USB flash drives, portable hard drives, magnetic disks, or optical disks.

[0108] The above are merely exemplary embodiments of this disclosure and should not be construed as limiting the scope of this disclosure. Any equivalent changes and modifications made in accordance with the teachings of this disclosure shall still fall within the scope of this disclosure. Other embodiments of this disclosure will readily conceive of those skilled in the art upon consideration of the specification and the disclosure of practical truths.

[0109] This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not described in this disclosure. The specification and embodiments are to be considered exemplary only, and the scope and spirit of this disclosure are defined by the claims.

Claims

1. A method of pneumatic conveying frequency regulation, characterized by, The method includes: Obtain the system parameters of the target pneumatic ash removal system, input the system parameters into a preset parameter empirical model, and output the initial conveying parameters; The pneumatic ash removal system is started according to the initial conveying parameters to complete one conveying cycle, and the initial conveying pressure change curve of the conveying pressure over time during the cycle is obtained. Based on the initial conveying pressure change curve, the initial conveying pressure parameter is determined, and the cycle state is determined according to the initial conveying pressure parameter, the initial conveying parameter and the preset cycle period threshold. The conveying parameter of the next cycle process is adjusted according to the cycle state to obtain the target conveying parameter. The initial delivery pressure parameters include: initial total delivery cycle time , time when delivery pressure exceeds standard set value , determining initial delivery pressure parameters based on the initial delivery pressure change curve, including: determining a first time point at which a first zero point pressure occurs and a second time point at which a second zero point pressure occurs based on the initial delivery pressure profile, and determining the initial total delivery cycle time based on the first time point and the second time point ; Based on the preset standard pressure value and the initial delivery pressure change curve, determine the time when the delivery pressure exceeds the standard set value. ; The initial total delivery cycle time and the time during which the delivery pressure exceeds the standard set value As the initial delivery pressure parameter; The initial delivery parameters include the initial cycle time. and initial feed valve opening time value The preset cycle threshold includes a preset value m, a preset value n, and a maximum threshold for the total conveying cycle time. Total transport cycle time lower limit threshold Maximum value of conveying cycle Minimum value of conveying cycle Maximum opening time of feed valve Minimum opening time of feed valve The target delivery parameters include the target cycle time. and target feed valve opening time value Wherein the preset value m is greater than the preset value n; the step of determining the cycle state based on the initial conveying pressure parameter, the initial conveying parameter, and the preset cycle threshold, and adjusting the conveying parameter for the next cycle based on the cycle state to obtain the target conveying parameter includes: When the initial total conveying cycle time Greater than the upper limit threshold of the total delivery cycle time At that time, or for a period of time when the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value is greater than the preset value m, then the cycle state is determined to be of high transport risk. When the cycle state is characterized by high transport risk, and the initial cycle time is... Greater than the minimum value of the conveying cycle period Then, based on the preset cycle time coefficient For the initial cycle time Adjustments are made to obtain the target cycle time. When the cycle state is characterized by high conveying risk, and the initial feed valve opening time value is... Greater than the minimum opening time of the feed valve According to the preset opening time coefficient The initial feed valve opening time value Adjustments were made to obtain the target feed valve opening time value. The target cycle time = - The target feed valve opening time value = - ; When the initial total conveying cycle time Less than the lower limit threshold of the total delivery cycle time At that time, or for a period of time when the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value is less than the preset value n, then the cycle state is determined to be low conveying efficiency; When the cycle state is characterized by low conveying efficiency, and the initial cycle time... Less than the maximum value of the conveying cycle period Then, according to the preset cycle time coefficient For the initial cycle time Adjustments are made to obtain the target cycle time. When the cycle state is characterized by low conveying efficiency and a low initial feed valve opening time value... Less than the maximum opening time of the feed valve According to the preset opening time coefficient The initial feed valve opening time value Adjustments were made to obtain the target feed valve opening time value. The target cycle time = + The target feed valve opening time value = + ; When the initial total conveying cycle time Greater than the preset lower limit threshold for total conveying cycle time Less than the preset upper limit threshold for total delivery cycle time At the same time, the time during which the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value n is greater than the preset value n but less than the preset value m, then the cycle state is determined to be a normal conveying state. When the cycle state is the normal conveying state, the target cycle time is... Equal to the initial cycle time The target feed valve opening time value Equal to the initial feed valve opening time value .

2. The method according to claim 1, characterized in that, Before inputting the system parameters into a preset parameter empirical model and outputting the initial delivery parameters, the following steps are included: Obtain sample data of optimal conveying parameters for pneumatic ash removal systems with different system parameters; The optimal conveying parameter sample data of pneumatic ash removal systems with different system parameters are classified based on the system parameter information, and the optimal conveying parameter sample data with the same system parameters are grouped into one category. The optimal transport parameter sample data with the same system parameters are fitted using the least squares method and multinomial regression algorithm to obtain the fitted optimal transport parameter sample data. Based on the sample data of the fitted transmission parameters, the preset parameter empirical model is constructed.

3. The method according to claim 1, characterized in that, The method further includes: The height of the ash hopper level is monitored in real time. When the height of the ash hopper level reaches the alarm threshold, the target cycle time is adjusted. Set as the minimum value of the conveying cycle period The target feed valve opening time value Set to the minimum opening time of the feed valve .

4. The method according to claim 1, characterized in that, Before determining the initial conveying pressure parameter based on the initial conveying pressure change curve, and determining the cycle state based on the initial conveying pressure parameter, the initial conveying parameter, and a preset cycle period threshold, the following steps are included: The historical operating data of the target pneumatic ash removal system is acquired, and data analysis is performed based on the historical operating data to obtain the data analysis results; Based on the data analysis results, the cycle period threshold is set to obtain the preset cycle period threshold.

5. A pneumatic conveying frequency adjustment device, characterized in that, include: The data acquisition module is used to acquire the system parameters of the target pneumatic ash removal system, input the system parameters into a preset parameter empirical model, and output the initial delivery parameters; The initial conveying pressure change curve acquisition module is used to start the pneumatic ash removal system according to the initial conveying parameters to complete one conveying cycle, and to acquire the initial conveying pressure change curve of the conveying pressure changing with time during the cycle. The parameter adjustment module is used to determine the initial conveying pressure parameter based on the initial conveying pressure change curve, and to determine the cycle state according to the initial conveying pressure parameter, the initial conveying parameter and the preset cycle period threshold, and to adjust the conveying parameter of the next cycle process according to the cycle state to obtain the target conveying parameter; The initial delivery pressure parameters include: initial total delivery cycle time. The time when the conveying pressure exceeds the standard setting value Based on the initial delivery pressure variation curve, the initial delivery pressure parameters are determined, including: Based on the initial conveying pressure change curve, the first time point at the first zero-pressure point and the second time point at the second zero-pressure point are determined, and the initial total conveying cycle time is determined based on the first time point and the second time point. ; Based on the preset standard pressure value and the initial delivery pressure change curve, determine the time when the delivery pressure exceeds the standard set value. ; The initial total delivery cycle time and the time during which the delivery pressure exceeds the standard set value As the initial delivery pressure parameter; The initial delivery parameters include the initial cycle time. and initial feed valve opening time value The preset cycle threshold includes a preset value m, a preset value n, and a maximum threshold for the total conveying cycle time. Total transport cycle time lower limit threshold Maximum value of conveying cycle Minimum value of conveying cycle Maximum opening time of feed valve Minimum opening time of feed valve The target delivery parameters include the target cycle time. and target feed valve opening time value Wherein the preset value m is greater than the preset value n; the step of determining the cycle state based on the initial conveying pressure parameter, the initial conveying parameter, and the preset cycle threshold, and adjusting the conveying parameter for the next cycle based on the cycle state to obtain the target conveying parameter includes: When the initial total conveying cycle time Greater than the upper limit threshold of the total delivery cycle time At that time, or for a period of time when the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value is greater than the preset value m, then the cycle state is determined to be of high transport risk. When the cycle state is characterized by high transport risk, and the initial cycle time is... Greater than the minimum value of the conveying cycle period Then, based on the preset cycle time coefficient For the initial cycle time Adjustments are made to obtain the target cycle time. When the cycle state is characterized by high conveying risk, and the initial feed valve opening time value is... Greater than the minimum opening time of the feed valve According to the preset opening time coefficient The initial feed valve opening time value Adjustments were made to obtain the target feed valve opening time value. The target cycle time = - The target feed valve opening time value = - ; When the initial total conveying cycle time Less than the lower limit threshold of the total delivery cycle time At that time, or for a period of time when the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value is less than the preset value n, then the cycle state is determined to be low conveying efficiency; When the cycle state is characterized by low conveying efficiency, and the initial cycle time... Less than the maximum value of the conveying cycle period Then, according to the preset cycle time coefficient For the initial cycle time Adjustments are made to obtain the target cycle time. When the cycle state is characterized by low conveying efficiency and a low initial feed valve opening time value... Less than the maximum opening time of the feed valve According to the preset opening time coefficient The initial feed valve opening time value Adjustments were made to obtain the target feed valve opening time value. The target cycle time = + The target feed valve opening time value = + ; When the initial total conveying cycle time Greater than the preset lower limit threshold for total conveying cycle time Less than the preset upper limit threshold for total delivery cycle time At the same time, the time during which the conveying pressure exceeds the standard set value. With the initial total delivery cycle time ratio If the value n is greater than the preset value n but less than the preset value m, then the cycle state is determined to be a normal conveying state. When the cycle state is the normal conveying state, the target cycle time is... Equal to the initial cycle time The target feed valve opening time value Equal to the initial feed valve opening time value .

6. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a plurality of instructions adapted to be loaded by a processor and executed as described in any one of claims 1 to 4.

7. An electronic device, characterized in that, The device includes a processor, a memory, and a transceiver, wherein the memory is used to store instructions, the transceiver is used to communicate with other devices, and the processor is used to execute the instructions stored in the memory to cause the electronic device to perform the method as described in any one of claims 1 to 4.

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