Material taking control method and system for bucket wheel machine

Abstract

The invention discloses a material taking control method and system for a bucket wheel machine. The material taking control method comprises the steps that historical operation parameters and material taking amount data of the bucket wheel machine are obtained and preprocessed; determining influence factors influencing the material taking amount of the bucket wheel machine according to the preprocessed data, and constructing a material taking amount prediction model according to the influence factors; obtaining current operation parameters of the bucket wheel machine, and inputting the current operation parameters into the material taking amount prediction model to predict material taking amount prediction data; obtaining the material taking amount requirement of the bucket wheel machine, analyzing the material taking amount prediction data and the difference condition thereof, and performing evaluation calculation on the difference condition to obtain a difference evaluation value; selecting an adjustment coefficient according to the difference evaluation value, and adjusting the current operation parameter of the bucket wheel machine according to the adjustment coefficient to obtain a future operation parameter of the bucket wheel machine; and material taking of the bucket wheel machine is controlled according to the future operation parameters of the bucket wheel machine. By adjusting and optimizing the material taking process of the bucket wheel machine, the material taking control accuracy of the bucket wheel machine is improved, personal errors are reduced, and the production efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of bucket wheel machines, and in particular to a bucket wheel machine material taking control method and system. Background Art

[0002] Bucket wheel excavator, as a key equipment widely used in bulk material yards such as ports, mines, power plants, etc., the quality of its reclaiming control method is directly related to the efficiency, cost and operation safety of material handling. In modern large-scale material handling systems, bucket wheel excavators play a vital role. Through precise and efficient reclaiming operations, they provide strong support for the company's material supply chain. With the rapid development of my country's economy, the demand for bulk materials is increasing, which undoubtedly puts higher requirements on the reclaiming control of bucket wheel excavators.

[0003] Bucket wheel excavator reclaim control method is a key technical issue in the field of bulk material handling, which directly affects the efficiency, cost and stability of the entire supply chain of material handling. However, the traditional bucket wheel excavator reclaim control method often relies on the experience of the operator. This method is difficult to maintain the stability and accuracy of the reclaim when facing different material characteristics, environmental changes and operator skill differences. In addition, the manual control method is easily affected by human factors, resulting in low reclaim efficiency and even possible safety accidents. Summary of the invention

[0004] In order to solve the above technical problems, the present invention provides a bucket wheel excavator material taking control method and system, comprising:

[0005] Obtain historical operating parameters of the bucket wheel machine and corresponding material taking data, and pre-process the historical operating parameters and material taking data;

[0006] Determine the factors affecting the bucket wheel excavator's reclaiming capacity based on the pre-processed historical operating parameters and the corresponding reclaiming capacity data, and build a reclaiming capacity prediction model based on the influencing factors;

[0007] Obtain the current operating parameters of the bucket wheel machine, and input the current operating parameters into the material taking amount prediction model for prediction, so as to obtain the material taking amount prediction data;

[0008] Obtain the material reclaiming requirement of the bucket wheel excavator, analyze the difference between the material reclaiming prediction data and the material reclaiming requirement, and evaluate and calculate the difference to obtain the difference evaluation value;

[0009] An adjustment coefficient is selected according to the difference evaluation value, and the current operating parameters of the bucket wheel machine are adjusted according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel machine;

[0010] The material reclaiming of the bucket wheel machine is controlled according to the future operating parameters of the bucket wheel machine.

[0011] Furthermore, the preprocessing of the historical operating parameters and material taking amount data includes:

[0012] The historical operating parameters and material extraction data are cleaned, erroneous data points are removed, missing data points are filled, and the data are standardized.

[0013] Furthermore, the influencing factors affecting the bucket wheel excavator's material reclaiming capacity are determined based on the pre-processed historical operating parameters and the corresponding material reclaiming capacity data, including:

[0014] The historical operating parameters are grouped according to the parameter type to obtain several parameter data groups, and the i-th parameter data group is determined to filter the material taking quantity data when other historical operating parameters are the same;

[0015] Determine the change in the material reclaiming amount data corresponding to the i-th parameter data group. If the change is greater than the preset change threshold, determine that the parameter corresponding to the i-th parameter data group is an influencing factor affecting the material reclaiming amount of the bucket wheel excavator. If the change is less than the preset change threshold, determine that the parameter corresponding to the i-th parameter data group is not an influencing factor affecting the material reclaiming amount of the bucket wheel excavator.

[0016] Furthermore, the material taking amount prediction model is constructed according to the influencing factors, including:

[0017] A data set is constructed based on the parameter data group corresponding to the influencing factors, and the data set is input into a preset neural network model to construct an initial model for predicting the material withdrawal amount;

[0018] 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 model for material withdrawal prediction. The initial model is trained and tested until the initial model for material withdrawal prediction meets the preset convergence conditions, and the material withdrawal prediction model is obtained.

[0019] Furthermore, the obtaining of the material taking quantity requirement of the bucket wheel machine and analyzing the difference between the material taking quantity prediction data and the material taking quantity requirement include:

[0020] Obtain the material taking quantity requirement of the bucket wheel excavator, and parse the material taking quantity prediction data in chronological order to obtain several material taking quantity prediction values;

[0021] The difference between each predicted value of material taking quantity and the required material taking quantity is calculated respectively to obtain the difference between the predicted data of material taking quantity and the required material taking quantity.

[0022] Furthermore, the evaluating and calculating the difference status to obtain the difference evaluation value includes:

[0023] Obtaining the difference status, and analyzing the difference status to obtain a number of difference values;

[0024] Each difference is evaluated and valued according to the size of the difference to obtain a difference estimate;

[0025] Based on the difference valuation, the difference evaluation value is calculated and the calculation formula of the difference evaluation value is:

[0026]

[0027] Among them, S is the difference evaluation value, n is the number of difference estimates, αi is the weight corresponding to the i-th difference estimate, and Di is the i-th difference estimate.

[0028] Furthermore, the adjustment coefficient is selected according to the difference evaluation value, and the current operating parameters of the bucket wheel machine are adjusted according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel machine, including:

[0029] A correspondence relationship between adjustment coefficient and difference evaluation value interval is preset, and a corresponding adjustment coefficient is associated with each difference evaluation value interval;

[0030] Obtaining a difference evaluation value, and based on a mapping relationship between a difference evaluation value interval to which the difference evaluation value belongs and an adjustment coefficient corresponding to a difference evaluation value interval corresponding relationship, selecting an adjustment coefficient corresponding to the difference evaluation value interval;

[0031] The adjustment coefficient is multiplied by the current operating parameters of the bucket wheel machine to obtain the future operating parameters of the bucket wheel machine, thereby completing the adjustment of the current operating parameters of the bucket wheel machine by the adjustment coefficient.

[0032] The present invention also provides a bucket wheel excavator material taking control system, comprising:

[0033] An acquisition module is used to acquire the historical operating parameters of the bucket wheel machine and the corresponding material taking amount data, and pre-process the historical operating parameters and material taking amount data;

[0034] A modeling module is used to determine the factors affecting the bucket wheel excavator's material reclaiming capacity based on the pre-processed historical operating parameters and the corresponding material reclaiming capacity data, and to construct a material reclaiming capacity prediction model based on the influencing factors;

[0035] The prediction module is used to obtain the current operating parameters of the bucket wheel machine and input the current operating parameters into the material taking amount prediction model for prediction to obtain the material taking amount prediction data;

[0036] An evaluation module is used to obtain the material taking quantity requirement of the bucket wheel machine, analyze the difference between the material taking quantity prediction data and the material taking quantity requirement, and evaluate and calculate the difference to obtain the difference evaluation value;

[0037] An adjustment module is used to select an adjustment coefficient according to the difference evaluation value, and adjust the current operating parameters of the bucket wheel machine according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel machine;

[0038] The control module is used for controlling the reclaiming of the bucket wheel machine according to the future operating parameters of the bucket wheel machine.

[0039] Compared with the prior art, the bucket wheel excavator material reclaiming control method and system according to the embodiment of the present invention have the following beneficial effects:

[0040] The present invention can provide rich information resources for analysis and modeling by collecting historical operating parameters and material taking data of bucket wheel machine. These data are helpful to reveal the performance of bucket wheel machine under different working conditions and provide a basis for optimizing operation.

[0041] The present invention performs data preprocessing including cleaning, normalization, outlier processing, etc., which can improve the quality and availability of data. The preprocessed data is more suitable for modeling, reduces the error of the model, and improves the accuracy of prediction.

[0042] The present invention can identify key factors affecting the material taking amount of the bucket wheel machine by analyzing the pre-processed data, which helps to optimize the operating parameters of the bucket wheel machine in a targeted manner and improve the material taking efficiency;

[0043] The material taking amount prediction model constructed based on the influencing factors of the present invention can predict the material taking amount of the bucket wheel excavator. The establishment of the model can improve the automation level of the material taking process and reduce the dependence on manual experience.

[0044] The present invention uses the current operating parameters to predict the material taking amount, which can provide decision support for operators. The prediction results can help operators understand the possible material taking amount in advance, so as to adjust the operation strategy;

[0045] The present invention can evaluate the rationality of current operating parameters by comparing the predicted data with the material extraction quantity requirements, and the calculation of the difference evaluation value helps to quantify the gap between the predicted results and the actual requirements;

[0046] The present invention selects the adjustment coefficient according to the difference evaluation value, and can adjust the operating parameters in a targeted manner to reduce the prediction error. The adjusted operating parameters help the bucket wheel machine to better meet the material taking quantity requirement.

[0047] The present invention uses the adjusted operating parameters to control the material taking of the bucket wheel machine, which can improve the accuracy and efficiency of material taking. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 1 is a schematic diagram of the flow structure of a bucket wheel excavator material reclaiming control method according to an embodiment of the present invention;

[0049] Figure 2 It is a schematic diagram of the composition of the bucket wheel excavator material reclaiming control system in an embodiment of the present invention. DETAILED DESCRIPTION

[0050] 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.

[0051] 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.

[0052] 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.

[0053] 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.

[0054] like Figure 1As shown, in an embodiment of the present application, a bucket wheel excavator material taking control method is provided, including: S100: obtaining historical operating parameters of the bucket wheel excavator and corresponding material taking quantity data, and preprocessing the historical operating parameters and the material taking quantity data; S200: determining the influencing factors affecting the material taking quantity of the bucket wheel excavator based on the preprocessed historical operating parameters and the corresponding material taking quantity data, and constructing a material taking quantity prediction model based on the influencing factors; S300: obtaining the current operating parameters of the bucket wheel excavator, and inputting the current operating parameters into the material taking quantity prediction model for prediction to obtain material taking quantity prediction data; S400: obtaining the material taking quantity requirement of the bucket wheel excavator, analyzing the difference between the material taking quantity prediction data and the material taking quantity requirement, and evaluating and calculating the difference to obtain a difference evaluation value; S500: selecting an adjustment coefficient based on the difference evaluation value, and adjusting the current operating parameters of the bucket wheel excavator based on the adjustment coefficient to obtain the future operating parameters of the bucket wheel excavator; S600: controlling the material taking of the bucket wheel excavator based on the future operating parameters of the bucket wheel excavator.

[0055] Furthermore, the present invention can provide rich information resources for analysis and modeling by collecting historical operating parameters and material taking data of bucket wheel machine. These data are helpful to reveal the performance of bucket wheel machine under different working conditions and provide a basis for optimizing operation. The present invention can improve the quality and availability of data by preprocessing data including cleaning, normalization and outlier processing. The preprocessed data is more suitable for modeling, which reduces the error of the model and improves the accuracy of prediction. The present invention can identify the key factors affecting the material taking of bucket wheel machine by analyzing the preprocessed data, which is helpful to optimize the operating parameters of bucket wheel machine in a targeted manner and improve the material taking efficiency. The material taking prediction model constructed by the present invention based on the influencing factors can predict the material taking of bucket wheel machine. The automation level of the material taking process can be improved and the dependence on manual experience can be reduced; the present invention uses the current operating parameters to predict the material taking amount, which can provide decision support for the operator, and the prediction results can help the operator understand the possible material taking amount in advance, so as to adjust the operation strategy; the present invention can evaluate the rationality of the current operating parameters by comparing the predicted data with the material taking amount requirements, and the calculation of the difference evaluation value helps to quantify the gap between the prediction results and the actual needs; the present invention selects the adjustment coefficient according to the difference evaluation value, and can adjust the operating parameters in a targeted manner to reduce the prediction error, and the adjusted operating parameters help the bucket wheel machine to better meet the material taking amount requirements; the present invention uses the adjusted operating parameters to control the material taking of the bucket wheel machine, which can improve the accuracy and efficiency of material taking. This data-based closed-loop control method can continuously optimize the performance of the bucket wheel machine and reduce operating costs.

[0056] In an embodiment of the present application, a bucket wheel excavator material taking control method is provided, wherein the preprocessing of historical operating parameters and material taking quantity data includes: cleaning the historical operating parameters and material taking quantity data, removing erroneous data points, filling missing data points, and standardizing the data.

[0057] Specifically, in the data analysis process, data cleaning, filling and standardization are crucial steps. These preprocessing operations can ensure the quality of the data, thereby providing a reliable foundation for subsequent analysis and modeling. The following is a detailed explanation of the cleaning, filling and standardization of historical operating parameters and material collection data. Data cleaning refers to identifying and correcting or deleting erroneous, abnormal or inconsistent data points in the data set. For historical operating parameters and material collection data, data cleaning mainly includes the following steps: Identify erroneous data, check logical errors in the data, such as negative material collection or parameter values ​​that exceed the equipment capacity, identify data points that do not conform to the normal distribution, such as outliers, through statistical analysis; process erroneous data. For logical errors, they can be corrected or deleted according to the actual situation. For outliers, they can be eliminated. , replacement or conversion; fill missing data. Missing data is a common problem in data analysis. Methods for dealing with missing data include deleting missing data. If the amount of missing data is not large, you can consider deleting records with missing values. You can use mean / median filling to fill missing values ​​with the mean or median of the variable. You can also use regression analysis to establish a regression model using other related variables to predict missing values; data standardization. Data standardization is to convert data into a comparable unified format and scale the data to a specified range, usually between 0 and 1, to eliminate the impact of dimensions. Different parameters may have different dimensions and numerical ranges. Standardization can eliminate these differences. When modeling, standardization can also reduce the impact of large variables on the model and improve the stability and prediction ability of the model. Through the above data preprocessing steps, the quality of historical operating parameters and reclaiming data can be ensured, laying a solid foundation for subsequent data analysis and modeling. These steps help to improve the accuracy and efficiency of data analysis, thereby better supporting the prediction and control of bucket wheel reclaiming.

[0058] In an embodiment of the present application, a bucket wheel excavator material taking control method is provided, which determines the influencing factors affecting the bucket wheel excavator material taking amount based on the pre-processed historical operating parameters and the corresponding material taking amount data, including: grouping the historical operating parameters according to the parameter type to obtain a plurality of parameter data groups, and determining the i-th parameter data group, and filtering the material taking amount data when other historical operating parameters are the same; judging the change amount of the material taking amount data corresponding to the i-th parameter data group, if the change amount is greater than a preset change amount threshold, then determining that the parameter corresponding to the i-th parameter data group is the influencing factor affecting the bucket wheel excavator material taking amount, if the change amount is less than the preset change amount threshold, then determining that the parameter corresponding to the i-th parameter data group is not the influencing factor affecting the bucket wheel excavator material taking amount.

[0059] Specifically, the historical operating parameters are grouped according to their attributes or functions, and each parameter data group contains operating data with the same parameter type; for the i-th parameter data group, the corresponding material collection data under the same parameter setting are screened out to ensure that each material collection data corresponds to the corresponding parameter data group one by one; the change amount of the material collection data corresponding to the i-th parameter data group is calculated, and the quantitative quantity can be the standard deviation, mean absolute deviation or any other statistical quantity of the material collection data, which is used to measure the degree of change of the material collection data; a preset change amount threshold is set to determine whether the change of the material collection data is significant. If the change amount of the material collection data corresponding to the i-th parameter data group is greater than the preset change amount threshold, it is considered that the parameter is an influencing factor affecting the bucket wheel machine's material collection amount. If the change amount is less than the preset threshold, it is considered that the parameter has no significant effect on the material collection amount and is not an influencing factor. Through this process, the influencing factors of the bucket wheel machine's material collection amount can be systematically analyzed, providing a scientific basis for subsequent model construction and operation optimization.

[0060] In an embodiment of the present application, a bucket wheel excavator material taking control method is provided, wherein a material taking quantity prediction model is constructed according to influencing factors, including: constructing a data set according to a parameter data group corresponding to the influencing factors, and inputting the data set into a preset neural network model to construct an initial model for material taking quantity prediction; 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 model for material taking quantity prediction, training and testing the relationship initial model until the initial model for material taking quantity prediction meets the preset convergence conditions, and obtaining the material taking quantity prediction model.

[0061] Specifically, according to the previously determined influencing factors, the corresponding parameter data groups are selected, and these parameter data groups contain key information related to the material taking amount. The selected parameter data groups are combined with the corresponding material taking amount data to form a data set, which contains two parts: input (parameter data) and output (material taking amount data); according to the characteristics of the bucket wheel excavator's material taking amount and the characteristics of the data set, a suitable preset neural network structure is selected; the data set is divided into a training set and a test set according to a certain ratio, the training set is used to train the model, and the test set is used to evaluate the performance of the model; the training set is input into the preset neural network model for training, and the test set is input into the trained model for testing, and the prediction accuracy of the model is evaluated by the test results; a convergence condition is set, such as the loss function value reaches a preset threshold or the number of training iterations reaches an upper limit. When the model meets the convergence condition, the training is stopped. If the model does not meet the convergence condition, the model parameters or structure are continuously adjusted, and then a new round of training and testing is carried out. This process is repeated until the model meets the preset convergence condition. When the material taking amount prediction model meets the preset convergence condition, the model training is considered to be completed, and the model at this time is the material taking amount prediction model. Through the above process, a prediction model for the bucket wheel excavator's material reclaiming capacity can be constructed. This model can use historical data to learn the relationship between the bucket wheel excavator's material reclaiming capacity and parameters, thereby realizing the prediction of future material reclaiming capacity.

[0062] In an embodiment of the present application, a bucket wheel excavator material taking control method is provided, wherein the material taking quantity requirement of the bucket wheel excavator is obtained, and the difference between the material taking quantity prediction data and the material taking quantity requirement is analyzed, including: obtaining the material taking quantity requirement of the bucket wheel excavator, and parsing the material taking quantity prediction data in chronological order to obtain a plurality of material taking quantity prediction values; respectively calculating the difference between each material taking quantity prediction value and the material taking quantity requirement, and obtaining the difference between the material taking quantity prediction data and the material taking quantity requirement.

[0063] Specifically, the bucket wheel machine's reclaiming quantity requirements and reclaiming quantity forecast data are obtained. These data are obtained based on the previously established forecast model. The reclaiming quantity forecast data is parsed in chronological order to obtain a series of forecast values. The forecast value should match the time range of the reclaiming quantity requirements for subsequent difference analysis; for each reclaiming quantity forecast value, the difference between it and the reclaiming quantity requirements is calculated, and the difference is a relative difference, and the difference between the reclaiming quantity forecast data and the reclaiming quantity requirements is obtained. Through this process, the difference between the bucket wheel machine's reclaiming quantity forecast data and the reclaiming quantity requirements can be monitored in real time, providing decision support for operators and ensuring the smooth progress of reclaiming operations.

[0064] In an embodiment of the present application, a bucket wheel excavator material control method is provided, wherein the difference condition is evaluated and calculated to obtain a difference evaluation value, including: obtaining the difference condition, and analyzing the difference condition to obtain a plurality of difference values; evaluating and valuing each difference value according to the size of the difference value to obtain a difference value estimation; calculating based on the difference estimation to obtain a difference evaluation value, and the calculation formula of the difference evaluation value is:

[0065]

[0066] Among them, S is the difference evaluation value, n is the number of difference estimates, αi is the weight corresponding to the i-th difference estimate, and Di is the i-th difference estimate.

[0067] Specifically, based on the difference between each previously calculated predicted value of the material taking amount and the required material taking amount, a series of difference data is obtained, and the difference reflects the gap between the predicted value and the actual requirement; the size of each difference is evaluated to understand the characteristics of the difference data, and the evaluation value is a score obtained by comparing the difference with the preset threshold; based on the evaluation value of each difference, calculation is performed to obtain the difference evaluation value, which can be a comprehensive value reflecting the overall situation of the entire difference data. Through this process, the difference between the predicted data of the bucket wheel excavator's material taking amount and the required material taking amount can be evaluated and calculated to obtain the difference evaluation value, which can be used as the basis for operators to adjust the material taking parameters or take other measures to ensure the smooth progress of the material taking operation.

[0068] In an embodiment of the present application, a bucket wheel excavator material taking control method is provided, wherein an adjustment coefficient is selected according to a difference evaluation value, and the current operating parameters of the bucket wheel excavator are adjusted according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel excavator, including: presetting an adjustment coefficient-difference evaluation value interval correspondence relationship, wherein the adjustment coefficient-difference evaluation value interval correspondence relationship is associated with a corresponding adjustment coefficient for each difference evaluation value interval; obtaining a difference evaluation value, and selecting an adjustment coefficient corresponding to the difference evaluation value interval based on a mapping relationship between the difference evaluation value interval to which the difference evaluation value belongs within the adjustment coefficient-difference evaluation value interval correspondence relationship; multiplying the adjustment coefficient by the current operating parameters of the bucket wheel excavator to obtain the future operating parameters of the bucket wheel excavator, thereby completing the adjustment of the current operating parameters of the bucket wheel excavator by the adjustment coefficient.

[0069] Specifically, a correspondence between an adjustment coefficient and a difference evaluation value interval is pre-set. This relationship table divides the difference evaluation value into several intervals, and a corresponding adjustment coefficient is set for each interval; the difference evaluation value is calculated according to the difference between the bucket wheel machine's material taking amount prediction data and the material taking amount requirement, and the difference evaluation value reflects the degree of difference between the prediction value and the actual requirement. Based on the size of the difference evaluation value, the difference evaluation value interval to which it belongs is determined, and the preset adjustment coefficient-difference evaluation value interval correspondence is used to find the adjustment coefficient corresponding to the interval; the selected adjustment coefficient is multiplied by the current operating parameters of the bucket wheel machine, and the product result is the future operating parameters of the bucket wheel machine; the future operating parameters are applied to the operation of the bucket wheel machine to complete the adjustment of the current operating parameters. The adjusted operating parameters will help the bucket wheel machine to meet the material taking amount requirements more accurately. Through this process, the dynamic adjustment of the bucket wheel machine's operating parameters can be achieved to adapt to the changes and requirements of the material taking amount. This adjustment method based on the difference evaluation value helps to improve the efficiency and accuracy of the material taking operation.

[0070] like Figure 2 As shown, in an embodiment of the present application, a bucket wheel excavator material taking control system is provided, including: an acquisition module, used to acquire historical operating parameters of the bucket wheel excavator and corresponding material taking quantity data, and preprocess the historical operating parameters and material taking quantity data; a modeling module, used to determine the influencing factors affecting the material taking quantity of the bucket wheel excavator based on the preprocessed historical operating parameters and the corresponding material taking quantity data, and to construct a material taking quantity prediction model based on the influencing factors; a prediction module, used to acquire the current operating parameters of the bucket wheel excavator, and input the current operating parameters into the material taking quantity prediction model for prediction, to obtain the material taking quantity prediction data; an evaluation module, used to acquire the material taking quantity requirement of the bucket wheel excavator, analyze the difference between the material taking quantity prediction data and the material taking quantity requirement, and evaluate and calculate the difference to obtain the difference evaluation value; an adjustment module, used to select an adjustment coefficient based on the difference evaluation value, and adjust the current operating parameters of the bucket wheel excavator based on the adjustment coefficient to obtain the future operating parameters of the bucket wheel excavator; a control module, used to control the material taking of the bucket wheel excavator based on the future operating parameters of the bucket wheel excavator.

[0071] In summary, the embodiment of the present invention provides a bucket wheel machine material taking control method and system, which includes: obtaining and preprocessing the historical operating parameters and material taking data of the bucket wheel machine; determining the influencing factors affecting the material taking of the bucket wheel machine according to the preprocessed data, and constructing a material taking prediction model according to the influencing factors; obtaining the current operating parameters of the bucket wheel machine, and inputting them into the material taking prediction model to predict the material taking prediction data; obtaining the material taking requirement of the bucket wheel machine, analyzing the difference between the material taking prediction data and the material taking prediction data, and evaluating the difference to obtain the difference evaluation value; selecting the adjustment coefficient according to the difference evaluation value, and adjusting the current operating parameters of the bucket wheel machine according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel machine; and controlling the material taking of the bucket wheel machine according to the future operating parameters of the bucket wheel machine. The present invention improves the accuracy of the bucket wheel machine material taking control, reduces human errors, and improves production efficiency by adjusting and optimizing the material taking process of the bucket wheel machine.

[0072] 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.

[0073] 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.

[0074] 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.

[0075] 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 the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0076] 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. A bucket wheel excavator material taking control method, characterized in that: include: Obtain historical operating parameters of the bucket wheel machine and corresponding material taking data, and pre-process the historical operating parameters and material taking data; Determine the factors affecting the bucket wheel excavator's reclaiming capacity based on the pre-processed historical operating parameters and the corresponding reclaiming capacity data, and build a reclaiming capacity prediction model based on the influencing factors; Obtain the current operating parameters of the bucket wheel machine, and input the current operating parameters into the material taking amount prediction model for prediction, so as to obtain the material taking amount prediction data; Obtain the material reclaiming requirement of the bucket wheel excavator, analyze the difference between the material reclaiming prediction data and the material reclaiming requirement, and evaluate and calculate the difference to obtain the difference evaluation value; An adjustment coefficient is selected according to the difference evaluation value, and the current operating parameters of the bucket wheel machine are adjusted according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel machine; The material reclaiming of the bucket wheel machine is controlled according to the future operating parameters of the bucket wheel machine.

2. A bucket wheel excavator material control method according to claim 1, characterized in that: The preprocessing of the historical operating parameters and material taking amount data includes: The historical operating parameters and material extraction data are cleaned, erroneous data points are removed, missing data points are filled, and the data are standardized.

3. A bucket wheel excavator material control method according to claim 2, characterized in that: The determining of the factors affecting the material taking amount of the bucket wheel excavator according to the pre-processed historical operating parameters and the corresponding material taking amount data includes: The historical operating parameters are grouped according to the parameter type to obtain several parameter data groups, and the i-th parameter data group is determined to filter the material taking quantity data when other historical operating parameters are the same; Determine the change in the material reclaiming amount data corresponding to the i-th parameter data group. If the change is greater than the preset change threshold, determine that the parameter corresponding to the i-th parameter data group is an influencing factor affecting the material reclaiming amount of the bucket wheel excavator. If the change is less than the preset change threshold, determine that the parameter corresponding to the i-th parameter data group is not an influencing factor affecting the material reclaiming amount of the bucket wheel excavator.

4. A bucket wheel excavator material control method according to claim 3, characterized in that: The method of constructing a material taking amount prediction model according to influencing factors includes: A data set is constructed based on the parameter data group corresponding to the influencing factors, and the data set is input into a preset neural network model to construct an initial model for predicting the material withdrawal amount; 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 model for material withdrawal prediction. The initial model is trained and tested until the initial model for material withdrawal prediction meets the preset convergence conditions, and the material withdrawal prediction model is obtained.

5. A bucket wheel excavator material control method according to claim 1, characterized in that: The obtaining of the material taking quantity requirement of the bucket wheel machine and analyzing the difference between the material taking quantity prediction data and the material taking quantity requirement include: Obtain the material taking quantity requirement of the bucket wheel excavator, and parse the material taking quantity prediction data in chronological order to obtain several material taking quantity prediction values; The difference between each predicted value of material taking quantity and the required material taking quantity is calculated respectively to obtain the difference between the predicted data of material taking quantity and the required material taking quantity.

6. A bucket wheel excavator material reclaiming control method according to claim 5, characterized in that: The evaluating and calculating the difference status to obtain the difference evaluation value includes: Obtaining the difference status, and analyzing the difference status to obtain a number of difference values; Each difference is evaluated and valued according to the size of the difference to obtain a difference estimate; Based on the difference valuation, the difference evaluation value is calculated and the calculation formula of the difference evaluation value is: Among them, S is the difference evaluation value, n is the number of difference estimates, αi is the weight corresponding to the i-th difference estimate, and Di is the i-th difference estimate.

7. A bucket wheel excavator material control method according to claim 6, characterized in that: The method of selecting the adjustment coefficient according to the difference evaluation value and adjusting the current operating parameters of the bucket wheel machine according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel machine includes: A correspondence relationship between adjustment coefficient and difference evaluation value interval is preset, and each difference evaluation value interval is associated with a corresponding adjustment coefficient; Obtaining a difference evaluation value, and based on a mapping relationship between a difference evaluation value interval to which the difference evaluation value belongs and an adjustment coefficient corresponding to a difference evaluation value interval corresponding relationship, selecting an adjustment coefficient corresponding to the difference evaluation value interval; The adjustment coefficient is multiplied by the current operating parameters of the bucket wheel machine to obtain the future operating parameters of the bucket wheel machine, thereby completing the adjustment of the current operating parameters of the bucket wheel machine by the adjustment coefficient.

8. A bucket wheel excavator reclaiming control system, characterized in that: include: An acquisition module is used to acquire the historical operating parameters of the bucket wheel machine and the corresponding material taking amount data, and pre-process the historical operating parameters and material taking amount data; A modeling module is used to determine the factors affecting the bucket wheel excavator's material reclaiming capacity based on the pre-processed historical operating parameters and the corresponding material reclaiming capacity data, and to construct a material reclaiming capacity prediction model based on the influencing factors; The prediction module is used to obtain the current operating parameters of the bucket wheel machine and input the current operating parameters into the material taking amount prediction model for prediction to obtain the material taking amount prediction data; An evaluation module is used to obtain the material taking quantity requirement of the bucket wheel machine, analyze the difference between the material taking quantity prediction data and the material taking quantity requirement, and evaluate and calculate the difference to obtain the difference evaluation value; An adjustment module is used to select an adjustment coefficient according to the difference evaluation value, and adjust the current operating parameters of the bucket wheel machine according to the adjustment coefficient to obtain the future operating parameters of the bucket wheel machine; The control module is used for controlling the reclaiming of the bucket wheel machine according to the future operating parameters of the bucket wheel machine.

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