Automatic water replenishing control method and system of wet-type slag removal system

Abstract

The invention discloses an automatic water replenishing control method and system for a wet-type slag removal system, and the method comprises the steps: obtaining and analyzing the historical operation data of the wet-type slag removal system, and determining the parameter characteristics affecting the water level drop in a water seal tank; constructing a water level prediction model of the water seal tank based on the parameter characteristics and a preset neural network model for prediction to obtain water level prediction data; constructing a water level decline curve according to the water level prediction data, and analyzing the water level decline curve to determine key data change characteristics; analyzing and evaluating the water level drop state based on the key data change characteristics to obtain a water level drop state value; and setting a water replenishing regulation and control strategy of the water replenishing device according to the water level drop state value, and automatically controlling the water replenishing device according to the water replenishing regulation and control strategy. By predicting the future water level change and analyzing the future water level change, the water level descending state condition is determined to set the corresponding water replenishing regulation and control strategy, automatic control over the water replenishing device is achieved, and the water replenishing intelligence and automation level is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power generation, and in particular to an automatic water replenishment control method and system for a wet slag removal system. Background Art

[0002] In the process of treating the hot slag of the boiler, the wet slag removal system cools and treats the hot slag through the water in the water seal tank, ensuring the normal operation of the system and the effective removal of the hot slag. However, the water level in the water seal tank is one of the parameters that need to be focused on and controlled during the operation of the system. Accurate control of the water level is crucial to the stability and safety of the system. Therefore, in order to ensure the stability of the water level and normal operation of the wet slag removal system, the water replenishment control method has become an indispensable technical means.

[0003] However, traditional water replenishment control methods usually need to rely on manual intervention and adjustment, with high maintenance costs and complex operations. They lack automation and intelligence, which makes system operation and maintenance difficult. In addition, traditional water replenishment control methods can only ensure the cooling and self-circulation of the slag water system, but they cannot achieve accurate regulation and reasonable maintenance of the water level, resulting in waste of water resources, greatly increasing operating energy consumption, and making it difficult to ensure the green and sustainable operation of the system. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides an automatic water replenishment control method and system for a wet slag removal system, comprising: Obtain historical operating data of the wet deslagging system and analyze the historical operating data to determine the parameter characteristics that affect the water level drop in the water seal tank; A water level prediction model for the water seal tank is constructed based on the parameter characteristics and the preset neural network model, and prediction is performed according to the water level prediction model to obtain water level prediction data for the water seal tank; Construct a water level drawdown curve based on water level forecast data, analyze the water level drawdown curve, and determine the key data change characteristics in the water level drawdown curve; Analyze and evaluate the water level drop state in the water seal tank based on the key data change characteristics, and obtain the water level drop state value of the water seal tank; The water replenishment control strategy of the water replenishment device is set according to the water level drop state value of the water seal tank, and the water replenishment device is automatically controlled according to the water replenishment control strategy.

[0005] Furthermore, the acquisition of historical operation data of the wet deslagging system and analysis of the historical operation data to determine parameter characteristics that affect the drop in the water level in the water seal tank include: Obtain historical operation data of the wet deslagging system, and determine historical water level data from the historical operation data; Divide the remaining historical operation data into several parameter data groups according to different parameter types, and analyze the correlation between each parameter data group and the historical operation data; The parameters corresponding to the parameter data group with a correlation higher than a preset correlation value are determined as parameter characteristics that affect the drop in the water level of the water seal tank.

[0006] Furthermore, the water level prediction model of the water seal tank is constructed based on the parameter characteristics and the preset neural network model, and prediction is performed according to the water level prediction model to obtain water level prediction data of the water seal tank, including: A data set is constructed based on parameter characteristics and historical water level data, and the data set is input into a preset neural network model to construct an initial model for water level prediction of the water seal tank; The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the initial water level prediction model; The initial water level prediction model is trained and tested until the initial water level prediction model meets the preset convergence conditions, thereby obtaining the water level prediction model of the water seal tank; The real-time operation data of the wet slag removal system is obtained, and the real-time operation data is input into the water level prediction model. The water level prediction model performs prediction to obtain the water level prediction data of the water seal tank.

[0007] Furthermore, the water level drawdown curve is constructed according to the water level prediction data, and the water level drawdown curve is analyzed to determine the key data change characteristics in the water level drawdown curve, including: Constructing a water level decline curve of the relationship between the water level prediction data and time based on the water level prediction data, and determining the slope value of the water level decline curve; Obtain historical water replenishment level data, analyze the historical water replenishment level data, and determine the optimal water replenishment level value; Determine the time length from the initial water level value to the optimal water replenishment level value in the water level decline curve; The slope value and time length value are determined as the key data change characteristics in the water level drawdown curve.

[0008] Furthermore, the acquisition of historical water replenishment level data and analysis of the historical water level data to determine the optimal water replenishment level value includes: Obtain historical water replenishment level data, and sort the historical water replenishment level data in descending order to obtain a historical water replenishment level data sequence; Determine the three historical water replenishment water level values ​​at the end of the historical water replenishment water level data sequence, calculate the average value of the three historical water replenishment water level values, and determine the average value as the optimal water replenishment water level value.

[0009] Furthermore, the water level drop state in the water seal tank is analyzed and evaluated based on the key data change characteristics to obtain the water level drop state value of the water seal tank, including: Obtaining the slope value and the time length value, and obtaining the preset slope value and the total time length value of the water level drop curve; Calculate the absolute difference between the slope value and the preset slope value, and evaluate the absolute difference to obtain a slope evaluation value; Calculate the ratio between the time length value and the total time length value, and use the ratio as the time coefficient; The slope evaluation value is multiplied by the time coefficient to obtain the water level drop status value of the water seal tank.

[0010] Furthermore, the water replenishment control strategy of the water replenishment device is set according to the water level drop state value of the water seal tank, including: Three water level status levels and a corresponding relationship between the water level status level and the water level drop status value interval are preset, wherein the corresponding relationship between the water level status level and the water level drop status value interval is associated with a corresponding water level status level for each water level drop status value interval; Obtaining a water level drop state value, and based on a mapping relationship between a water level drop state value interval to which the water level drop state value belongs and a water level state level corresponding to the water level drop state value interval, selecting a water level state level corresponding to the water level drop state value interval as the corresponding water level state level; If the water level drop state value of the water seal tank corresponds to the first water level state level, the water replenishment amount of the water replenishment device is set to the first preset water replenishment amount, and the water replenishment frequency is set to the first preset water replenishment frequency; If the water level drop state value of the water seal tank corresponds to the second water level state level, the water replenishment amount of the water replenishment device is set to the second preset water replenishment amount, and the water replenishment frequency is set to the second preset water replenishment frequency; If the water level drop state value of the water seal tank corresponds to the third water level state level, the water replenishment amount of the water replenishment device is set to the third preset water replenishment amount, and the water replenishment frequency is set to the third preset water replenishment frequency.

[0011] The present invention also provides an automatic water replenishment control system for a wet slag removal system, comprising: An acquisition module is used to acquire historical operation data of the wet deslagging system, analyze the historical operation data, and determine parameter characteristics that affect the drop in the water level in the water seal tank; A prediction module is used to construct a water level prediction model for the water seal tank based on parameter characteristics and a preset neural network model, and to perform predictions according to the water level prediction model to obtain water level prediction data for the water seal tank; An analysis module is used to construct a water level drawdown curve based on the water level forecast data, analyze the water level drawdown curve, and determine the key data change characteristics in the water level drawdown curve; An evaluation module is used to analyze and evaluate the water level drop state in the water seal tank based on the key data change characteristics, and obtain the water level drop state value of the water seal tank; The strategy module is used to set the water replenishment control strategy of the water replenishment device according to the water level drop state value of the water seal tank, and automatically control the water replenishment device according to the water replenishment control strategy.

[0012] Compared with the prior art, the automatic water replenishment control method and system of a wet slag removal system according to the embodiment of the present invention has the following beneficial effects: The present invention constructs a water level prediction model based on a neural network, which can accurately predict the water level according to historical data and parameter characteristics, thereby improving the system's ability to predict future water level changes; The present invention constructs a water level decline curve based on water level prediction data, and realizes quantitative evaluation and analysis of the water level decline state through analysis of key data change characteristics, providing data-driven decision support for system operation; The present invention sets a water replenishment control strategy for the water replenishment device according to the water level drop state value, which can automatically adjust and optimize the working conditions of the water replenishment device according to the change of the water level drop state value to achieve precise control of the water replenishment device, maintain the water level within a suitable range, and improve the intelligence and automation level of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] Figure 1 1 is a schematic diagram of the flow structure of an automatic water replenishment control method for a wet slag removal system according to an embodiment of the present invention; Figure 2 It is a schematic diagram of the composition of the automatic water replenishment control system of the wet slag removal system in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The specific implementation methods of the present application are further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0015] In the description of the present application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating orientations or positional relationships, are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present application and simplifying the description, and do not indicate or imply that the platform or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present application.

[0016] The terms "second" and "second" are used for descriptive purposes only and should not be understood as indicating or implying a relative degree of importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined with "second" or "second" may explicitly or implicitly include one or more of the features. In the description of this application, unless otherwise specified, "multiple" means two or more.

[0017] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be indirectly connected through an intermediate medium, or it can be the internal communication of two components. For ordinary technical personnel in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0018] like Figure 1 As shown, in an embodiment of the present application, an automatic water replenishment control method for a wet slag removal system is provided, including: S100: acquiring historical operation data of the wet slag removal system, and analyzing the historical operation data to determine parameter characteristics that affect the water level drop in the water seal tank; S200: constructing a water level prediction model for the water seal tank based on the parameter characteristics and a preset neural network model, and performing prediction according to the water level prediction model to obtain water level prediction data for the water seal tank; S300: constructing a water level drop curve according to the water level prediction data, and analyzing the water level drop curve to determine key data change characteristics in the water level drop curve; S400: analyzing and evaluating the water level drop state in the water seal tank based on the key data change characteristics to obtain the water level drop state value of the water seal tank; S500: setting a water replenishment control strategy for the water replenishment device according to the water level drop state value of the water seal tank, and automatically controlling the water replenishment device according to the water replenishment control strategy.

[0019] Furthermore, the present invention constructs a water level prediction model based on a neural network, which can accurately predict the water level according to historical data and parameter characteristics, thereby improving the system's ability to predict future water level changes; the present invention constructs a water level drop curve based on water level prediction data, and realizes quantitative evaluation and analysis of the water level drop state through analysis of key data change characteristics, thereby providing data-driven decision support for system operation; the present invention sets a water replenishment control strategy for the water replenishment device according to the water level drop state value, which can automatically adjust and optimize the working conditions of the water replenishment device according to the change of the water level drop state value, so as to realize precise control of the water replenishment device, maintain the water level within an appropriate range, and improve the intelligence and automation level of the system.

[0020] In an embodiment of the present application, an automatic water replenishment control method for a wet slag removal system is provided, wherein historical operation data of the wet slag removal system is obtained, and the historical operation data is analyzed to determine parameter characteristics that affect the water level drop in the water seal tank, including: obtaining historical operation data of the wet slag removal system, and determining historical water level data from the historical operation data; dividing the remaining historical operation data into several parameter data groups according to different parameter types, and analyzing the correlation between each parameter data group and the historical operation data; determining the parameters corresponding to the parameter data group having a correlation higher than a preset correlation value as parameter characteristics that affect the water level drop in the water seal tank.

[0021] Specifically, the historical operation data of the wet deslagging system is collected, including records of various parameters, and then the water level data is extracted from it as the parameter of focus; the remaining historical operation data is divided into several parameter data groups according to different parameter types; for each parameter data group, a correlation analysis is performed to determine the correlation between it and the water level data, and the statistical analysis method can be used to calculate the correlation between the parameter data group and the water level data; the parameter data group with a correlation higher than the preset threshold is determined as the key parameter characteristics that affect the drop in the water level of the water seal tank, and these parameter characteristics may include factors that are closely related to the change in water level. This step can accurately identify the key parameter characteristics that affect the drop in the water level of the water seal tank by analyzing the historical operation data, which helps to gain a deeper understanding of the factors affecting the operation of the system.

[0022] In an embodiment of the present application, an automatic water replenishment control method for a wet slag removal system is provided, wherein a water level prediction model of a water seal tank is constructed based on parameter characteristics and a preset neural network model, and prediction is performed according to the water level prediction model to obtain water level prediction data of the water seal tank, including: constructing a data set based on parameter characteristics and historical water level data, and inputting the data set into a preset neural network model to construct an initial water level prediction model for the water seal tank; dividing the data set into a training set and a test set according to a certain ratio, and inputting the training set and the test set into the initial water level prediction model; training and testing the initial water level prediction model until the initial water level prediction model meets the preset convergence conditions to obtain the water level prediction model for the water seal tank; acquiring real-time operation data of the wet slag removal system, and inputting the real-time operation data into the water level prediction model, and predicting by the water level prediction model to obtain water level prediction data for the water seal tank.

[0023] Specifically, a data set is constructed based on the determined parameter features and historical water level data, which includes input features (parameter data) and output labels (water level data); the constructed data set is input into the preset neural network model to construct the initial model for water level prediction of the water seal tank. The neural network model can be trained by a deep learning algorithm to learn the complex relationship between input features and output labels; the constructed data set is divided into a training set and a test set according to a certain ratio for training and evaluating the performance of the water level prediction model; the training set and the test set are input into the initial water level prediction model for model training and testing, and the final water seal tank water level prediction model is obtained by continuous iterative training and adjustment of model parameters until the model meets the preset convergence conditions. This step can achieve high-precision prediction of the water level of the water seal tank through the training and optimization of the neural network model, helping the system to adjust and optimize the operation in time; the constructed water level prediction model can receive and analyze the real-time operation data of the wet deslagging system in real time, quickly generate prediction data of the water level of the water seal tank, and realize real-time monitoring and prediction of the system operation status; the establishment of the water level prediction model can realize the automatic prediction of the water level of the water seal tank, reduce manual intervention, and improve the automation and efficiency of the system operation. Through this step, an efficient and accurate water seal tank water level prediction model can be established to provide reliable technical support for the operation and maintenance of the wet deslagging system and improve the stability and reliability of the system.

[0024] In an embodiment of the present application, an automatic water replenishment control method for a wet slag removal system is provided, wherein a water level drop curve is constructed according to water level prediction data, and the water level drop curve is analyzed to determine key data change characteristics in the water level drop curve, including: constructing a water level drop curve of the relationship between the water level prediction data and time based on the water level prediction data, and determining the slope value of the water level drop curve; obtaining historical water replenishment water level data, and analyzing the historical water replenishment water level data to determine an optimal water replenishment water level value; determining a time length value for a drop from an initial water level value to an optimal water replenishment water level value in the water level drop curve; and determining the slope value and the time length value as key data change characteristics in the water level drop curve.

[0025] Specifically, based on the water level prediction data, a water level drawdown curve of the relationship between the water level prediction data and time can be constructed. This curve can show the changing trend of the system water level over time; the slope value of the curve can be used to understand the rate of water level drop, that is, the degree of change in the water level per unit time, to help judge the stability and trend of the system operation; collect and analyze historical water replenishment level data to determine the optimal water replenishment level value required by the system in actual operation in the past, which is helpful in setting an appropriate water replenishment strategy; determine the time length required to drop from the initial water level value to the optimal water replenishment level value in the water level drawdown curve, to help evaluate the system's response speed and adjustment efficiency to water level changes; determine the slope value and time length value as key data change characteristics in the water level drawdown curve, which can reflect the important laws and trends of system water level changes. This step can realize real-time monitoring and adjustment of system water level changes by constructing a water level drop curve and determining the characteristics of key data changes, helping the system maintain its optimal operating state; based on the analysis of historical replenishment water level data and optimal replenishment water level values, the replenishment strategy can be optimized to ensure that the system water level fluctuates within an appropriate range and improve system stability; by determining the slope value and time length value, it can help system operation and maintenance personnel better understand the system operating status, adjust operations in a timely manner, and improve system operating efficiency and performance. This step can effectively improve the operation and management of the wet deslagging system and improve the stability, reliability and efficiency of the system by analyzing the water level drop curve and historical replenishment data and determining the characteristics of key data changes.

[0026] In an embodiment of the present application, an automatic water replenishment control method for a wet slag removal system is provided, wherein historical water replenishment water level data is obtained, and the historical water replenishment water level data is analyzed to determine an optimal water replenishment water level value, including: obtaining historical water replenishment water level data, and sorting the historical water replenishment water level data in order from large to small to obtain a historical water replenishment water level data sequence; determining three historical water replenishment water level values ​​at the end of the historical water replenishment water level data sequence, and calculating an average value of the three historical water replenishment water level values, and determining the average value as the optimal water replenishment water level value.

[0027] Specifically, collect and obtain historical water replenishment level data of the wet slag removal system, which records the water replenishment level conditions of the system over a period of time in the past; sort the historical water replenishment level data from large to small to obtain an ordered historical water replenishment level data sequence, which helps to find the maximum and minimum values ​​in the historical data; select the three historical water replenishment level values ​​at the end, that is, the three smallest values, from the sorted historical water replenishment level data sequence; sum these three historical water replenishment level values, and then divide them by 3 to obtain the average of the three historical water replenishment level values, which is determined as the optimal water replenishment level value. In this step, by analyzing and calculating the historical water replenishment level data, the system can obtain a reasonable optimal water replenishment level value, which reflects the actual needs of the system in the past operation and provides an important basis for future operation and adjustment; determining the optimal water replenishment level value can help system operation and maintenance personnel formulate a more reasonable water replenishment strategy, ensure that the system water level fluctuates within the optimal range, and improve the stability and efficiency of the system; setting the optimal water replenishment level value as the target water level of the system, the system can automatically adjust the water replenishment amount according to the real-time monitoring data, realize automated operation management, and reduce manual intervention. This step can determine the optimal water replenishment level value based on historical data, thereby optimizing the system's operation strategy and improving the system's operation efficiency and stability.

[0028] In an embodiment of the present application, an automatic water replenishment control method for a wet slag removal system is provided, and the water level drop state in the water seal tank is analyzed and evaluated based on the key data change characteristics to obtain the water level drop state value of the water seal tank, including: obtaining a slope value and a time length value, and obtaining a preset slope value and a total time length value of the water level drop curve; calculating the absolute difference between the slope value and the preset slope value, and evaluating the absolute difference to obtain a slope evaluation value; calculating the ratio between the time length value and the total time length value, and using the ratio as a time coefficient; multiplying the slope evaluation value by the time coefficient to obtain the water level drop state value of the water seal tank.

[0029] Specifically, according to the water level drop curve, the actual slope value and time length value are obtained, the slope value represents the rate of water level drop, and the time length value represents the time experienced by the water level drop; the preset slope value and the total time length value of the water level drop curve are set, the preset slope value can be the target slope value determined according to system requirements, and the total time length value represents the time of the entire water level drop process; the actual slope value is compared with the preset slope value, and the absolute difference between them is calculated. This difference reflects the degree of deviation between the actual slope and the expected slope. The absolute difference is evaluated and obtained to obtain the slope evaluation value. This value is used to evaluate the difference between the system water level drop rate and the expected rate, and guide subsequent adjustments and optimizations; the ratio between the actual time length value and the total time length value is calculated, and this ratio is used as the time coefficient. The time coefficient reflects the ratio of the time experienced by the actual water level drop to the total process time; the slope evaluation value is multiplied by the time coefficient to obtain the water level drop state value of the water seal tank. This value comprehensively considers the slope deviation and the time ratio, and reflects the comprehensive situation of the water level drop state. This step can monitor the water level drop in real time by calculating the water level drop status value, and make adjustments according to the changes in the evaluation value to ensure that the system operates in the expected state; the slope evaluation value and time coefficient provide a quantitative evaluation of the system operation status, providing decision support and optimization suggestions for operation and maintenance personnel; by comprehensively considering the slope evaluation value and time coefficient, it can help the system optimize the water level control strategy, improve the system's performance and efficiency, and reduce operational risks. This step can more comprehensively evaluate the water level drop of the water seal tank by calculating the water level drop status value, providing more accurate data support for system operation management, thereby improving the stability and reliability of the system.

[0030] In an embodiment of the present application, an automatic water replenishment control method for a wet slag removal system is provided, wherein the water replenishment control strategy of the water replenishment device is set according to the water level drop state value of the water seal tank, including: presetting three water level state levels, and a correspondence between water level state level and water level drop state value interval, wherein the correspondence between water level state level and water level drop state value interval is associated with a corresponding water level state level for each water level drop state value interval; obtaining the water level drop state value, and mapping the water level drop state value interval to which the water level drop state value belongs within the correspondence between water level state level and water level drop state value interval system, selecting the water level status level corresponding to the water level drop status value interval as the corresponding water level status level; if the water level drop status value of the water seal tank corresponds to the first water level status level, then the water replenishment amount of the water replenishment device is set to the first preset water replenishment amount, and the water replenishment frequency is the first preset water replenishment frequency; if the water level drop status value of the water seal tank corresponds to the second water level status level, then the water replenishment amount of the water replenishment device is set to the second preset water replenishment amount, and the water replenishment frequency is the second preset water replenishment frequency; if the water level drop status value of the water seal tank corresponds to the third water level status level, then the water replenishment amount of the water replenishment device is set to the third preset water replenishment amount, and the water replenishment frequency is the third preset water replenishment frequency.

[0031] Specifically, three water level status levels are pre-set, and a correspondence between the water level status levels and the water level drop status value intervals is established, each water level status level corresponds to a certain water level drop status value interval; based on the actual monitoring data, the water level drop status value of the current water seal tank is obtained; based on the mapping relationship between the interval to which the water level drop status value belongs within the water level status level-water level drop status value interval correspondence relationship, the water level status level corresponding to the interval is selected as the current water level status level; if the water level status level is the first water level status level, the water replenishment amount of the water replenishment device is set to the first preset water replenishment amount, and the water replenishment frequency is the first preset water replenishment frequency; if the water level status level is the second water level status level, the water replenishment amount of the water replenishment device is set to the second preset water replenishment amount, and the water replenishment frequency is the second preset water replenishment frequency; if the water level status level is the third water level status level, the water replenishment amount of the water replenishment device is set to the third preset water replenishment amount, and the water replenishment frequency is the third preset water replenishment frequency. This step maps the actual water level drop status value to the preset water level status level, and can automatically set the water replenishment amount and frequency of the water replenishment device to achieve automated water replenishment regulation and improve the system's operating efficiency; according to the current water level status level, the water replenishment strategy can be adjusted in time to ensure that the water level of the water seal tank fluctuates within an appropriate range, thereby improving the system's stability and reliability; different water replenishment amounts and frequencies can be set according to different water level status levels, which can more effectively utilize resources, avoid excessive or insufficient water replenishment, reduce energy consumption costs, and extend equipment life. Through this step, the water replenishment strategy can be intelligently set according to the water level drop status value, to achieve automated water replenishment regulation and improve the system's operating efficiency and stability, providing strong support for equipment operation and maintenance.

[0032] like Figure 2 As shown, in an embodiment of the present application, an automatic water replenishment control system for a wet slag removal system is provided, including: an acquisition module, used to acquire historical operation data of the wet slag removal system, and analyze the historical operation data to determine parameter characteristics that affect the water level drop in the water seal tank; a prediction module, used to construct a water level prediction model for the water seal tank based on the parameter characteristics and a preset neural network model, and predict according to the water level prediction model to obtain water level prediction data for the water seal tank; an analysis module, used to construct a water level drop curve according to the water level prediction data, and analyze the water level drop curve to determine key data change characteristics in the water level drop curve; an evaluation module, used to analyze and evaluate the water level drop state in the water seal tank based on the key data change characteristics to obtain the water level drop state value of the water seal tank; a strategy module, used to set a water replenishment control strategy for the water replenishment device according to the water level drop state value of the water seal tank, and automatically control the water replenishment device according to the water replenishment control strategy.

[0033] In summary, the embodiments of the present invention provide an automatic water replenishment control method and system for a wet slag removal system, which includes: acquiring and analyzing the historical operation data of the wet slag removal system to determine the parameter characteristics that affect the water level drop in the water seal tank; constructing a water level prediction model for the water seal tank based on the parameter characteristics and a preset neural network model to predict and obtain water level prediction data; constructing a water level drop curve according to the water level prediction data, and analyzing it to determine the key data change characteristics; analyzing and evaluating the water level drop state based on the key data change characteristics to obtain a water level drop state value; setting a water replenishment control strategy for a water replenishment device according to the water level drop state value, and automatically controlling the water replenishment device based on it. The present invention predicts future water level changes, analyzes future water level changes, and determines the water level drop state to set the corresponding water replenishment control strategy, thereby achieving automatic control of the water replenishment device and improving the intelligence and automation level of water replenishment.

[0034] Finally, it should be noted that: Obviously, a person skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the present invention and its equivalent technology, the present invention is also intended to include these modifications and variations.

[0035] The above is only an example of implementation of the present invention, but it cannot be used to limit the scope of the present invention. Any structural changes made according to the present invention, as long as they do not lose the essence of the present invention, should be regarded as falling within the scope of protection of the present invention and being restricted. Technical personnel in the relevant technical field can clearly understand that for the convenience and simplicity of description, the specific working process and related instructions of the platform described above can refer to the corresponding process in the aforementioned platform embodiment, and will not be repeated here.

[0036] The term "comprises" or any other similar term is intended to cover a non-exclusive inclusion such that a process, platform, article, or apparatus / platform that includes a list of elements includes not only those elements but also other elements not expressly listed or inherent to such process, platform, article, or apparatus / platform.

[0037] So far, the technical solutions of the present invention have been described in conjunction with the further embodiments shown in the accompanying drawings. However, it is easy for a person skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, a person skilled in the art can make equivalent changes or substitutions to closely related technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0038] The above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention.

Claims

1. An automatic water replenishment control method for a wet slag removal system, characterized in that: include: Obtain historical operating data of the wet deslagging system and analyze the historical operating data to determine the parameter characteristics that affect the water level drop in the water seal tank; A water level prediction model for the water seal tank is constructed based on the parameter characteristics and the preset neural network model, and prediction is performed according to the water level prediction model to obtain water level prediction data for the water seal tank; Construct a water level drawdown curve based on water level forecast data, analyze the water level drawdown curve, and determine the key data change characteristics in the water level drawdown curve; Analyze and evaluate the water level drop state in the water seal tank based on the key data change characteristics, and obtain the water level drop state value of the water seal tank; The water replenishment control strategy of the water replenishment device is set according to the water level drop state value of the water seal tank, and the water replenishment device is automatically controlled according to the water replenishment control strategy.

2. The automatic water replenishment control method for a wet slag removal system according to claim 1 is characterized in that: The obtaining of historical operation data of the wet deslagging system and analyzing the historical operation data to determine parameter characteristics that affect the water level drop in the water seal tank include: Obtain historical operation data of the wet deslagging system, and determine historical water level data from the historical operation data; Divide the remaining historical operation data into several parameter data groups according to different parameter types, and analyze the correlation between each parameter data group and the historical operation data; The parameters corresponding to the parameter data group with a correlation higher than a preset correlation value are determined as parameter characteristics that affect the drop in the water level of the water seal tank.

3. The automatic water replenishment control method for a wet slag removal system according to claim 2 is characterized in that: The water level prediction model of the water seal tank is constructed based on the parameter characteristics and the preset neural network model, and prediction is performed according to the water level prediction model to obtain water level prediction data of the water seal tank, including: A data set is constructed based on parameter characteristics and historical water level data, and the data set is input into a preset neural network model to construct an initial model for water level prediction of the water seal tank; The data set is divided into a training set and a test set according to a certain ratio, and the training set and the test set are input into the initial water level prediction model; The initial water level prediction model is trained and tested until the initial water level prediction model meets the preset convergence conditions, thereby obtaining the water level prediction model of the water seal tank; The real-time operation data of the wet slag removal system is obtained, and the real-time operation data is input into the water level prediction model. The water level prediction model performs prediction to obtain the water level prediction data of the water seal tank.

4. The automatic water replenishment control method for a wet slag removal system according to claim 3 is characterized in that: The water level drawdown curve is constructed based on the water level prediction data, and the water level drawdown curve is analyzed to determine the key data change characteristics in the water level drawdown curve, including: Constructing a water level decline curve of the relationship between the water level prediction data and time based on the water level prediction data, and determining the slope value of the water level decline curve; Obtain historical water replenishment level data, analyze the historical water replenishment level data, and determine the optimal water replenishment level value; Determine the time length from the initial water level value to the optimal water replenishment level value in the water level decline curve; The slope value and time length value are determined as the key data change characteristics in the water level drawdown curve.

5. The automatic water replenishment control method for a wet slag removal system according to claim 4 is characterized in that: The obtaining of historical water replenishment level data and analyzing the historical water level data to determine the optimal water replenishment level value includes: Obtain historical water replenishment level data, and sort the historical water replenishment level data in descending order to obtain a historical water replenishment level data sequence; Determine the three historical water replenishment water level values ​​at the end of the historical water replenishment water level data sequence, calculate the average value of the three historical water replenishment water level values, and determine the average value as the optimal water replenishment water level value.

6. The automatic water replenishment control method for a wet slag removal system according to claim 4 is characterized in that: The water level drop state in the water seal tank is analyzed and evaluated based on the key data change characteristics to obtain the water level drop state value of the water seal tank, including: Obtaining the slope value and the time length value, and obtaining the preset slope value and the total time length value of the water level drop curve; Calculate the absolute difference between the slope value and the preset slope value, and evaluate the absolute difference to obtain a slope evaluation value; Calculate the ratio between the time length value and the total time length value, and use the ratio as the time coefficient; The slope evaluation value is multiplied by the time coefficient to obtain the water level drop status value of the water seal tank.

7. The automatic water replenishment control method for a wet slag removal system according to claim 6 is characterized in that: The water replenishment control strategy of the water replenishment device is set according to the water level drop state value of the water seal tank, including: Three water level status levels and a corresponding relationship between the water level status level and the water level drop status value interval are preset, wherein the corresponding relationship between the water level status level and the water level drop status value interval is associated with a corresponding water level status level for each water level drop status value interval; Obtaining a water level drop state value, and based on a mapping relationship between a water level drop state value interval to which the water level drop state value belongs and a water level state level corresponding to the water level drop state value interval, selecting a water level state level corresponding to the water level drop state value interval as the corresponding water level state level; If the water level drop state value of the water seal tank corresponds to the first water level state level, the water replenishment amount of the water replenishment device is set to the first preset water replenishment amount, and the water replenishment frequency is set to the first preset water replenishment frequency; If the water level drop state value of the water seal tank corresponds to the second water level state level, the water replenishment amount of the water replenishment device is set to the second preset water replenishment amount, and the water replenishment frequency is set to the second preset water replenishment frequency; If the water level drop state value of the water seal tank corresponds to the third water level state level, the water replenishment amount of the water replenishment device is set to the third preset water replenishment amount, and the water replenishment frequency is set to the third preset water replenishment frequency.

8. An automatic water replenishment control system for a wet slag removal system, characterized in that: include: An acquisition module is used to acquire historical operation data of the wet deslagging system, analyze the historical operation data, and determine parameter characteristics that affect the drop in the water level in the water seal tank; A prediction module is used to construct a water level prediction model for the water seal tank based on parameter characteristics and a preset neural network model, and to perform predictions according to the water level prediction model to obtain water level prediction data for the water seal tank; An analysis module is used to construct a water level drawdown curve based on the water level forecast data, analyze the water level drawdown curve, and determine the key data change characteristics in the water level drawdown curve; An evaluation module is used to analyze and evaluate the water level drop state in the water seal tank based on the key data change characteristics, and obtain the water level drop state value of the water seal tank; The strategy module is used to set the water replenishment control strategy of the water replenishment device according to the water level drop state value of the water seal tank, and automatically control the water replenishment device according to the water replenishment control strategy.

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